From a3f9d61d820b03493af3adf48d3294f017a593dd Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Thu, 9 Nov 2023 08:44:48 +0100 Subject: [PATCH 01/49] add draft for terms --- pyscal_rdf/network/network.py | 16 ++++++++++++++-- pyscal_rdf/network/parser.py | 2 ++ pyscal_rdf/network/term.py | 10 +++++++++- 3 files changed, 25 insertions(+), 3 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index c00710d..546b3e9 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -5,6 +5,7 @@ import os import warnings from pyscal_rdf.network.parser import OntoParser +from pyscal3.atoms import AttrSetter owlfile = os.path.join(os.path.dirname(__file__), "../data/cmso.owl") @@ -23,9 +24,20 @@ def __init__(self, infile=None, delimiter='/'): self.onto = OntoParser(infile, delimiter=delimiter) self.onto.attributes['data_node'] = [] self.data_prefix = 'value' - self._parse_all() - + self._parse_all() + + def _assign_attributes(self): + mapdict = {} + #add first level - namespaces + for key in self.namespaces.keys(): + mapdict[key] = {} + #now iterate over all attributes + for k1 in self.attributes.keys(): + for k2, val in self.attributes[k1].items(): + mapdict[k2] = val + self._add_attribute(mapdict) + def _parse_all(self): #call methods self._add_class_nodes() diff --git a/pyscal_rdf/network/parser.py b/pyscal_rdf/network/parser.py index af11012..1c0dd46 100644 --- a/pyscal_rdf/network/parser.py +++ b/pyscal_rdf/network/parser.py @@ -1,11 +1,13 @@ from pyscal_rdf.network.term import OntoTerm from owlready2 import get_ontology + import os import copy import numpy as np import itertools + class OntoParser: def __init__(self, infile, delimiter='/'): if os.path.exists(infile): diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 005e67c..107fe90 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -31,7 +31,15 @@ def uri(self): @uri.setter def uri(self, val): self._uri = val - + + @property + def name_without_prefix(self): + uri_split = self.uri.split(self.delimiter) + if len(uri_split)>0: + return uri_split[-1] + else: + return self.uri + @property def name(self): uri_split = self.uri.split(self.delimiter) From 10b50a309c94f5f1a47de268500370eb6fb8ce02 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Thu, 9 Nov 2023 09:20:34 +0100 Subject: [PATCH 02/49] add extra namespaces --- pyscal_rdf/network/network.py | 6 ++++-- pyscal_rdf/network/parser.py | 14 ++++++++++++-- pyscal_rdf/network/term.py | 9 +++++++++ 3 files changed, 25 insertions(+), 4 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 546b3e9..fc9261d 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -12,11 +12,12 @@ def _replace_name(name): return ".".join(name.split(':')) -class OntologyNetwork: +class OntologyNetwork(AttrSetter): """ Network representation of Onto """ def __init__(self, infile=None, delimiter='/'): + AttrSetter.__init__(self) if infile is None: infile = owlfile @@ -35,7 +36,7 @@ def _assign_attributes(self): #now iterate over all attributes for k1 in self.attributes.keys(): for k2, val in self.attributes[k1].items(): - mapdict[k2] = val + mapdict[val.namespace][val.name_without_prefix] = val self._add_attribute(mapdict) def _parse_all(self): @@ -43,6 +44,7 @@ def _parse_all(self): self._add_class_nodes() self._add_object_properties() self._add_data_properties() + #self._assign_attributes() def __add__(self, ontonetwork): #add onto network diff --git a/pyscal_rdf/network/parser.py b/pyscal_rdf/network/parser.py index 1c0dd46..83aa139 100644 --- a/pyscal_rdf/network/parser.py +++ b/pyscal_rdf/network/parser.py @@ -28,6 +28,7 @@ def __init__(self, infile, delimiter='/'): self._parse_class() self._parse_object_property() self._parse_data_property() + self._recheck_namespaces() def __add__(self, ontoparser): """ @@ -39,7 +40,8 @@ def __add__(self, ontoparser): if mainkey in ontoparser.attributes.keys(): for key, val in ontoparser.attributes[mainkey].items(): self.attributes[mainkey][key] = val - + + #now change classes if ontoparser.classes is not None: for clx in ontoparser.classes: @@ -76,7 +78,15 @@ def _get_subclasses(self, name): return self.classes[arg] else: return [name] - + + def _recheck_namespaces(self): + for mainkey in self.attributes.keys(): + if key, val in self.attributes[mainkey].items(): + namespace = self.attributes[mainkey][key].namespace + if namespace not in self.namespaces.keys(): + self.namespaces[namespace] = self.attributes[mainkey][key].namespace_with_prefix + + def _parse_data_property(self): for c in self.tree.data_properties(): iri = c.iri diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 107fe90..dac526c 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -56,6 +56,15 @@ def namespace(self): else: return self.uri + @property + def namespace_with_prefix(self): + uri_split = self.uri.split(self.delimiter) + if len(uri_split)>1: + namespace = self.delimiter.join(uri_split[:-1]) + self.delimiter + return namespace + else: + return self.uri + @property def namespace_object(self): uri_split = self.uri.split(self.delimiter) From 4a8c336fdb047268fa1b35284622113a914656fa Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Thu, 9 Nov 2023 09:21:59 +0100 Subject: [PATCH 03/49] add namespaces --- pyscal_rdf/network/network.py | 2 +- pyscal_rdf/network/parser.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index fc9261d..d0269f0 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -44,7 +44,7 @@ def _parse_all(self): self._add_class_nodes() self._add_object_properties() self._add_data_properties() - #self._assign_attributes() + self._assign_attributes() def __add__(self, ontonetwork): #add onto network diff --git a/pyscal_rdf/network/parser.py b/pyscal_rdf/network/parser.py index 83aa139..9337a7b 100644 --- a/pyscal_rdf/network/parser.py +++ b/pyscal_rdf/network/parser.py @@ -81,7 +81,7 @@ def _get_subclasses(self, name): def _recheck_namespaces(self): for mainkey in self.attributes.keys(): - if key, val in self.attributes[mainkey].items(): + for key, val in self.attributes[mainkey].items(): namespace = self.attributes[mainkey][key].namespace if namespace not in self.namespaces.keys(): self.namespaces[namespace] = self.attributes[mainkey][key].namespace_with_prefix From db48d51650383a15d6ec967fba069c891ea447a7 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Thu, 9 Nov 2023 09:47:51 +0100 Subject: [PATCH 04/49] add terms to network --- pyscal_rdf/network/network.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index d0269f0..289d276 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -12,12 +12,11 @@ def _replace_name(name): return ".".join(name.split(':')) -class OntologyNetwork(AttrSetter): +class OntologyNetwork: """ Network representation of Onto """ def __init__(self, infile=None, delimiter='/'): - AttrSetter.__init__(self) if infile is None: infile = owlfile @@ -25,6 +24,7 @@ def __init__(self, infile=None, delimiter='/'): self.onto = OntoParser(infile, delimiter=delimiter) self.onto.attributes['data_node'] = [] self.data_prefix = 'value' + self.terms = AttrSetter() self._parse_all() def _assign_attributes(self): @@ -34,10 +34,12 @@ def _assign_attributes(self): mapdict[key] = {} #now iterate over all attributes - for k1 in self.attributes.keys(): - for k2, val in self.attributes[k1].items(): + for k1 in ['class', 'object_property', 'data_property']: + for k2, val in self.onto.attributes[k1].items(): mapdict[val.namespace][val.name_without_prefix] = val - self._add_attribute(mapdict) + + + self.terms._add_attribute(mapdict) def _parse_all(self): #call methods From b24b2af9932ff3187ca22ca56bdbf9ac650e48f5 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Thu, 9 Nov 2023 11:28:07 +0100 Subject: [PATCH 05/49] add overloading for terms --- pyscal_rdf/network/term.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index dac526c..888e08a 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -64,7 +64,7 @@ def namespace_with_prefix(self): return namespace else: return self.uri - + @property def namespace_object(self): uri_split = self.uri.split(self.delimiter) @@ -76,4 +76,8 @@ def namespace_object(self): return self.uri def __repr__(self): - return str(self.name) \ No newline at end of file + return str(self.name) + + #overloading operators + def __eq__(self, val): + print(f'Tried eq {val}') \ No newline at end of file From 1baca75f80fce78a28bf82d4a0400dc5de973ee4 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Thu, 9 Nov 2023 11:28:38 +0100 Subject: [PATCH 06/49] add overloading for terms --- pyscal_rdf/network/term.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 888e08a..481a442 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -1,3 +1,6 @@ +""" +https://docs.python.org/3/library/operator.html +""" from rdflib import Namespace class OntoTerm: From bec26cc679f2d6e390eb3de0dc639498013a1ffc Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 21 Nov 2023 09:53:04 +0100 Subject: [PATCH 07/49] add operations on terms --- pyscal_rdf/network/network.py | 23 ++++++++------ pyscal_rdf/network/term.py | 58 ++++++++++++++++++++++++++++++++++- 2 files changed, 70 insertions(+), 11 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 289d276..1b053a7 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -227,7 +227,10 @@ def create_query(self, source, destinations, values = None): """ if not isinstance(destinations, list): destinations = [destinations] - + + source = source.query_name + destinations = [destination.query_name for destination in destinations] + #start prefix of quer query = [] for key, val in self.namespaces.items(): @@ -256,15 +259,15 @@ def create_query(self, source, destinations, values = None): #filters are only needed if it is a dataproperty filter_text = '' - if values is not None: - lit_nodes = [node for node in self.g.nodes if 'node_type' in self.g.nodes[node].keys() and self.g.nodes[node]['node_type'] == 'literal'] - data_destinations = [destination for destination in destinations if destination in lit_nodes] - if not len(data_destinations) == len(values): - warnings.warn(f'Length of destinations and values are not same, found {len(data_destinations)} and {len(values)}') - considered = " ".join(data_destinations[:len(values)]) - warnings.warn(f'Conditions are considered for {considered}') - if len(values) > 0: - filter_text = self.validate_values(data_destinations[:len(values)], values) + #if values is not None: + # lit_nodes = [node for node in self.g.nodes if 'node_type' in self.g.nodes[node].keys() and self.g.nodes[node]['node_type'] == 'literal'] + # data_destinations = [destination for destination in destinations if destination in lit_nodes] + # if not len(data_destinations) == len(values): + # warnings.warn(f'Length of destinations and values are not same, found {len(data_destinations)} and {len(values)}') + # considered = " ".join(data_destinations[:len(values)]) + # warnings.warn(f'Conditions are considered for {considered}') + # if len(values) > 0: + # filter_text = self.validate_values(data_destinations[:len(values)], values) query.append(filter_text) query.append('}') return '\n'.join(query) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 481a442..f88f6fb 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -2,6 +2,7 @@ https://docs.python.org/3/library/operator.html """ from rdflib import Namespace +import numbers class OntoTerm: def __init__(self, uri, node_type=None, @@ -26,6 +27,7 @@ def __init__(self, uri, node_type=None, self.delimiter = delimiter self.is_domain_of = [] self.is_range_of = [] + self._condition = None @property def uri(self): @@ -78,9 +80,63 @@ def namespace_object(self): else: return self.uri + @property + def query_name(self): + """ + What it is called in a sparql query + """ + if self.node_type == "data_property": + return self.name + "value" + return self.name + def __repr__(self): return str(self.name) + #convenience methods for overload checking + def _is_number(self, val): + if not isinstance(val, numbers.Number): + raise TypeError("can only be performed with a number!") + + def _is_data_node(self): + if not self.node_type == "data_property": + raise TypeError("This operation can only be performed with a data property!") + + def _create_condition_string(self, condition, val): + return f'?{self.name_without_prefix}{condition}\"{val}\"^^xsd:{self.range[0]}' + #overloading operators def __eq__(self, val): - print(f'Tried eq {val}') \ No newline at end of file + """ + = + """ + self._is_number(val) + self._is_data_node() + self._condition = self._create_condition_string("=", val) + + def __lt__(self, val): + self._is_number(val) + self._is_data_node() + self._condition = self._create_condition_string("<", val) + + def __le__(self, val): + self._is_number(val) + self._is_data_node() + self._condition = self._create_condition_string("<=", val) + + + def __ne__(self, val): + self._is_number(val) + self._is_data_node() + self._condition = self._create_condition_string("!=", val) + + def __ge__(self, val): + self._is_number(val) + self._is_data_node() + self._condition = self._create_condition_string(">=", val) + + def __gt__(self, val): + self._is_number(val) + self._is_data_node() + self._condition = self._create_condition_string(">", val) + + From 8f161e320fa73329cc7c6bf7ce7ca9a0ede1d7fe Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 21 Nov 2023 12:06:10 +0100 Subject: [PATCH 08/49] add and and or operators --- pyscal_rdf/network/term.py | 32 +++++++++++++++++++++++++++++++- 1 file changed, 31 insertions(+), 1 deletion(-) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index f88f6fb..c23a236 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -93,6 +93,14 @@ def __repr__(self): return str(self.name) #convenience methods for overload checking + def _ensure_condition_exists(self): + if self._condition is None: + raise ValueError("Individual terms should have condition for this operation!") + + def _is_term(self, val): + if not isinstance(val, OntoTerm): + raise TypeError("can only be performed with an OntoTerm!") + def _is_number(self, val): if not isinstance(val, numbers.Number): raise TypeError("can only be performed with a number!") @@ -102,7 +110,7 @@ def _is_data_node(self): raise TypeError("This operation can only be performed with a data property!") def _create_condition_string(self, condition, val): - return f'?{self.name_without_prefix}{condition}\"{val}\"^^xsd:{self.range[0]}' + return f'(?{self.name_without_prefix}{condition}\"{val}\"^^xsd:{self.range[0]})' #overloading operators def __eq__(self, val): @@ -139,4 +147,26 @@ def __gt__(self, val): self._is_data_node() self._condition = self._create_condition_string(">", val) + def __and__(self, term): + self._is_term(term) + self._is_data_node() + term._is_data_node() + self._ensure_condition_exists() + term._ensure_condition_exists() + self._condition = "&&".join([self._condition, term._condition]) + self._condition = f'({self._condition})' + + def and_(self, term): + self.__and__(term) + + def __or__(self, term): + self._is_term(term) + self._is_data_node() + term._is_data_node() + self._ensure_condition_exists() + term._ensure_condition_exists() + self._condition = "||".join([self._condition, term._condition]) + self._condition = f'({self._condition})' + def or_(self, term): + self.__or__(term) \ No newline at end of file From 816cc35a241fa53316e42bb0b17cbc0ed79a16c2 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 21 Nov 2023 12:28:23 +0100 Subject: [PATCH 09/49] update query building with conditions --- pyscal_rdf/network/network.py | 20 ++++++++++---------- pyscal_rdf/network/term.py | 15 ++++++++++++--- 2 files changed, 22 insertions(+), 13 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 1b053a7..399a557 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -221,7 +221,7 @@ def validate_values(self, destinations, values): full_filter = " ".join(updated_sparql_phrase_list) return f'FILTER ({full_filter})' - def create_query(self, source, destinations, values = None): + def create_query(self, source, destinations): """ values is a dict with keys value, operation """ @@ -259,15 +259,15 @@ def create_query(self, source, destinations, values = None): #filters are only needed if it is a dataproperty filter_text = '' - #if values is not None: - # lit_nodes = [node for node in self.g.nodes if 'node_type' in self.g.nodes[node].keys() and self.g.nodes[node]['node_type'] == 'literal'] - # data_destinations = [destination for destination in destinations if destination in lit_nodes] - # if not len(data_destinations) == len(values): - # warnings.warn(f'Length of destinations and values are not same, found {len(data_destinations)} and {len(values)}') - # considered = " ".join(data_destinations[:len(values)]) - # warnings.warn(f'Conditions are considered for {considered}') - # if len(values) > 0: - # filter_text = self.validate_values(data_destinations[:len(values)], values) + #make filters; get all the unique filters from all the classes in destinations + filters = np.unique([term._condition for term in destinations]) + #only one unique filter, all ok + if len(filters==1): + filter_text = filters[0] + else: + filter_text = "&&".join(filters) + filter_text = f'({filter_text})' + query.append(filter_text) query.append('}') return '\n'.join(query) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index c23a236..02de8db 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -89,6 +89,15 @@ def query_name(self): return self.name + "value" return self.name + @property + def query_name_without_prefix(self): + """ + What it is called in a sparql query + """ + if self.node_type == "data_property": + return self.name_without_prefix + "value" + return self.name_without_prefix + def __repr__(self): return str(self.name) @@ -110,14 +119,14 @@ def _is_data_node(self): raise TypeError("This operation can only be performed with a data property!") def _create_condition_string(self, condition, val): - return f'(?{self.name_without_prefix}{condition}\"{val}\"^^xsd:{self.range[0]})' + return f'(?{self.query_name_without_prefix}{condition}\"{val}\"^^xsd:{self.range[0]})' #overloading operators def __eq__(self, val): """ = """ - self._is_number(val) + #self._is_number(val) self._is_data_node() self._condition = self._create_condition_string("=", val) @@ -133,7 +142,7 @@ def __le__(self, val): def __ne__(self, val): - self._is_number(val) + #self._is_number(val) self._is_data_node() self._condition = self._create_condition_string("!=", val) From 01a0b33ecde1cfb8112b716d9aee76809957a0ec Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 09:53:17 +0100 Subject: [PATCH 10/49] update terms --- pyscal_rdf/network/network.py | 12 ++++++------ pyscal_rdf/network/term.py | 2 ++ 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 399a557..e67b0d4 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -229,7 +229,7 @@ def create_query(self, source, destinations): destinations = [destinations] source = source.query_name - destinations = [destination.query_name for destination in destinations] + destination_names = [destination.query_name for destination in destinations] #start prefix of quer query = [] @@ -240,16 +240,16 @@ def create_query(self, source, destinations): #now for each destination, start adding the paths in the query all_triplets = {} - for destination in destinations: + for destination in destination_names: triplets = self.get_shortest_path(source, destination, triples=True) all_triplets[destination] = triplets - select_destinations = [f'?{self.strip_name(destination)}' for destination in destinations] + select_destinations = [f'?{self.strip_name(destination)}' for destination in destination_names] query.append(f'SELECT DISTINCT {" ".join(select_destinations)}') query.append("WHERE {") #now add corresponding triples - for destination in destinations: + for destination in destination_names: for triple in all_triplets[destination]: query.append(" ?%s %s ?%s ."%(self.strip_name(triple[0]), triple[1], @@ -260,7 +260,7 @@ def create_query(self, source, destinations): filter_text = '' #make filters; get all the unique filters from all the classes in destinations - filters = np.unique([term._condition for term in destinations]) + filters = np.unique([term._condition for term in destinations if term._condition is not None ]) #only one unique filter, all ok if len(filters==1): filter_text = filters[0] @@ -268,7 +268,7 @@ def create_query(self, source, destinations): filter_text = "&&".join(filters) filter_text = f'({filter_text})' - query.append(filter_text) + query.append(f'FILTER {filter_text}') query.append('}') return '\n'.join(query) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 02de8db..ddbb8cc 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -164,6 +164,7 @@ def __and__(self, term): term._ensure_condition_exists() self._condition = "&&".join([self._condition, term._condition]) self._condition = f'({self._condition})' + return self def and_(self, term): self.__and__(term) @@ -176,6 +177,7 @@ def __or__(self, term): term._ensure_condition_exists() self._condition = "||".join([self._condition, term._condition]) self._condition = f'({self._condition})' + return self def or_(self, term): self.__or__(term) \ No newline at end of file From 7ce6e1ceb2cbada1887ce25b2b2fee96170a0c48 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 10:05:51 +0100 Subject: [PATCH 11/49] remove None from condition --- pyscal_rdf/network/network.py | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index e67b0d4..48a4903 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -221,7 +221,7 @@ def validate_values(self, destinations, values): full_filter = " ".join(updated_sparql_phrase_list) return f'FILTER ({full_filter})' - def create_query(self, source, destinations): + def create_query(self, source, destinations, condition=None): """ values is a dict with keys value, operation """ @@ -260,13 +260,9 @@ def create_query(self, source, destinations): filter_text = '' #make filters; get all the unique filters from all the classes in destinations - filters = np.unique([term._condition for term in destinations if term._condition is not None ]) - #only one unique filter, all ok - if len(filters==1): - filter_text = filters[0] - else: - filter_text = "&&".join(filters) - filter_text = f'({filter_text})' + if condition is not None: + if condition._condition is not None: + filter_text = condition._condition query.append(f'FILTER {filter_text}') query.append('}') From 05e0d8a8602e14de33299bad52d48c622302818a Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 11:16:30 +0100 Subject: [PATCH 12/49] add return in comparison operators --- pyscal_rdf/network/term.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index ddbb8cc..12d4122 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -129,32 +129,38 @@ def __eq__(self, val): #self._is_number(val) self._is_data_node() self._condition = self._create_condition_string("=", val) + return self def __lt__(self, val): self._is_number(val) self._is_data_node() self._condition = self._create_condition_string("<", val) + return self def __le__(self, val): self._is_number(val) self._is_data_node() self._condition = self._create_condition_string("<=", val) + return self def __ne__(self, val): #self._is_number(val) self._is_data_node() self._condition = self._create_condition_string("!=", val) + return self def __ge__(self, val): self._is_number(val) self._is_data_node() self._condition = self._create_condition_string(">=", val) + return self def __gt__(self, val): self._is_number(val) self._is_data_node() self._condition = self._create_condition_string(">", val) + return self def __and__(self, term): self._is_term(term) From 99f2b12d109612d475542c3d31cfb51388dfa914 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 14:30:29 +0100 Subject: [PATCH 13/49] add ontologies --- pyscal_rdf/data/cmso.owl | 544 ++++++++++++++++++++++++++++++++++----- pyscal_rdf/data/pldo.owl | 541 ++++++++++++++++++++++++++++++++++++++ pyscal_rdf/data/podo.owl | 428 ++++++++++++++++++++++++++++++ pyscal_rdf/graph.py | 6 + 4 files changed, 1450 insertions(+), 69 deletions(-) create mode 100644 pyscal_rdf/data/pldo.owl create mode 100644 pyscal_rdf/data/podo.owl diff --git a/pyscal_rdf/data/cmso.owl b/pyscal_rdf/data/cmso.owl index e90b5ae..57004b1 100644 --- a/pyscal_rdf/data/cmso.owl +++ b/pyscal_rdf/data/cmso.owl @@ -1,19 +1,207 @@ + xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" + xmlns:skos="http://www.w3.org/2004/02/skos/core#" + xmlns:terms="http://purl.org/dc/terms/"> - Computational Material Sample Ontology (CMSO) - -CMSO is an ontology that aims to describe computational materials science samples (or structures). Initially focusing on the description at the atomic scale. + https://orcid.org/0000-0001-9560-4728 + https://orcid.org/0000-0002-5149-603X + https://orcid.org/0000-0002-6776-1213 + https://orcid.org/0000-0003-0698-4891 + https://orcid.org/0000-0001-7564-7990 + CMSO is an ontology that aims to describe computational materials science samples (or structures), including crystalline defects. + Computational Material Sample Ontology (CMSO) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Examples of a Contributor include a person, an organization, or a service. Typically, the name of a Contributor should be used to indicate the entity. + Contributor + An entity responsible for making contributions to the resource. + + + + + + + + + Examples of a Creator include a person, an organization, or a service. Typically, the name of a Creator should be used to indicate the entity. + Creator + An entity primarily responsible for making the resource. + + + + + + + + + + + Description may include but is not limited to: an abstract, a table of contents, a graphical representation, or a free-text account of the resource. + Description + An account of the resource. + + + + + + + + + + + + + + + + + Title + A name given to the resource. + In current practice, this term is used primarily with literal values; however, there are important uses with non-literal values as well. As of December 2007, the DCMI Usage Board is leaving this range unspecified pending an investigation of options. + + + + + + + + + The range of skos:altLabel is the class of RDF plain literals. + skos:prefLabel, skos:altLabel and skos:hiddenLabel are pairwise disjoint properties. + + alternative label + An alternative lexical label for a resource. + Acronyms, abbreviations, spelling variants, and irregular plural/singular forms may be included among the alternative labels for a concept. Mis-spelled terms are normally included as hidden labels (see skos:hiddenLabel). + + + + + + + + + + definition + A statement or formal explanation of the meaning of a concept. + + + + + + + + + + example + An example of the use of a concept. + + + + + + + + + A general note, for any purpose. + + + + + + + + A resource has no more than one value of skos:prefLabel per language tag, and no more than one value of skos:prefLabel without language tag. + The range of skos:prefLabel is the class of RDF plain literals. + skos:prefLabel, skos:altLabel and skos:hiddenLabel are pairwise + disjoint properties. + + preferred label + The preferred lexical label for a resource, in a given language. + + + + + + + + + + + + + + + + + - - - - has composition + + + + + has calculated property + The relation between a computational sample and the calculated property. @@ -75,9 +268,11 @@ CMSO is an ontology that aims to describe computational materials science sample + has defect + The relation between a crystalline material and the crystal defects it contains. @@ -88,16 +283,7 @@ CMSO is an ontology that aims to describe computational materials science sample has element - - - - - - - - - - has lattice + The relation between an atom and its chemical element. @@ -108,6 +294,7 @@ CMSO is an ontology that aims to describe computational materials science sample has lattice parameter + The relation between a unit cell and its lattice parameters. @@ -118,6 +305,7 @@ CMSO is an ontology that aims to describe computational materials science sample has length + The relation between a simulation cell and its length. @@ -125,19 +313,11 @@ CMSO is an ontology that aims to describe computational materials science sample + has material - - - - - - - - - - has occupancy + The relation between a computational sample and the material it represents. @@ -156,6 +336,7 @@ CMSO is an ontology that aims to describe computational materials science sample has position vector + The relation between an atom or basis and its position vector. @@ -166,6 +347,7 @@ CMSO is an ontology that aims to describe computational materials science sample has simulation cell + The relation between an atomic scale sample and the simulation cell. @@ -176,6 +358,7 @@ CMSO is an ontology that aims to describe computational materials science sample has space group + The relation between a crystal structure and the space group that describes the symmetry. @@ -186,6 +369,7 @@ CMSO is an ontology that aims to describe computational materials science sample has species + The relation between a material and the species that constitutes it. @@ -196,6 +380,27 @@ CMSO is an ontology that aims to describe computational materials science sample has structure + The relation between a material and its structure. + + + + + + + + + + + + + + + + + + + has unit + A relation indicating the unit. @@ -206,6 +411,7 @@ CMSO is an ontology that aims to describe computational materials science sample has unit cell + The relation between a crystal structure and its unit cell. @@ -223,6 +429,31 @@ CMSO is an ontology that aims to describe computational materials science sample has vector + The relation between a simulation or unit cell and its vectors. + + + + + + + + is calculated property of + + + + + + + + is defect of + + + + + + + + is material of @@ -245,6 +476,7 @@ CMSO is an ontology that aims to describe computational materials science sample has alternative name + A data property linking an entity with alternative names. @@ -255,6 +487,7 @@ CMSO is an ontology that aims to describe computational materials science sample has angle alpha + A data property linking the angle to the measurement in the x axis. @@ -265,6 +498,7 @@ CMSO is an ontology that aims to describe computational materials science sample has angle beta + A data property linking the angle to the measurement in the y axis. @@ -275,6 +509,7 @@ CMSO is an ontology that aims to describe computational materials science sample has angle gamma + A data property linking the angle to the measurement in the z axis. @@ -286,6 +521,7 @@ CMSO is an ontology that aims to describe computational materials science sample has chemical symbol + A data property linking an element with its chemical symbol. @@ -296,6 +532,7 @@ CMSO is an ontology that aims to describe computational materials science sample has component x + A data property linking a vector with its component on the x axis. @@ -306,6 +543,7 @@ CMSO is an ontology that aims to describe computational materials science sample has component y + A data property linking a vector with its component on the y axis. @@ -316,6 +554,7 @@ CMSO is an ontology that aims to describe computational materials science sample has component z + A data property linking a vector with its component on the z axis. @@ -326,6 +565,7 @@ CMSO is an ontology that aims to describe computational materials science sample has coordination number + A data property linking an atom with its coordination number. The coordination number of an atom in an extended structure is the number of nearest neighbors. @@ -333,19 +573,10 @@ CMSO is an ontology that aims to describe computational materials science sample - + has element ratio - - - - - - - - - - has lattice system + A data property linking a material with the ratio or fraction of an element that constitutes it. Comment: indicated with a value from 0 to 1. @@ -363,6 +594,7 @@ CMSO is an ontology that aims to describe computational materials science sample has length x + A data property linking a length to the measurement in the x axis. @@ -380,6 +612,7 @@ CMSO is an ontology that aims to describe computational materials science sample has length y + A data property linking a length to the measurement in the y axis. @@ -397,6 +630,7 @@ CMSO is an ontology that aims to describe computational materials science sample has length z + A data property linking a length to the measurement in the z axis. @@ -407,6 +641,7 @@ CMSO is an ontology that aims to describe computational materials science sample has name + A data property linking an entity with its name. @@ -417,6 +652,18 @@ CMSO is an ontology that aims to describe computational materials science sample has number of atoms + A data property linking an atomic scale sample with the number of atoms it contains. + + + + + + + + + + has reference + A data property linking an entity with a reference (e.g. bibliographic) to another resource. @@ -427,6 +674,7 @@ CMSO is an ontology that aims to describe computational materials science sample has repetition x + A data property linking a simulation cell with its number of repetitions in the x direction. @@ -437,6 +685,7 @@ CMSO is an ontology that aims to describe computational materials science sample has repetition y + A data property linking a simulation cell with its number of repetitions in the y direction. @@ -447,6 +696,7 @@ CMSO is an ontology that aims to describe computational materials science sample has repetition z + A data property linking a simulation cell with its number of repetitions in the z direction. @@ -457,6 +707,7 @@ CMSO is an ontology that aims to describe computational materials science sample has space group number + A data property linking a crystal structure with its space group number. @@ -468,6 +719,7 @@ CMSO is an ontology that aims to describe computational materials science sample has space group symbol + A data property linking a crystal structure with its space group symbol. @@ -476,8 +728,19 @@ CMSO is an ontology that aims to describe computational materials science sample - has symbol + A data property linking an entity with its symbol. + + + + + + + + + + has value + A data property linking a calculated property to its value. @@ -488,6 +751,7 @@ CMSO is an ontology that aims to describe computational materials science sample has volume + A data property linking a simulation cell with its volume. Comment: the unit of the volume is indicated by the unit of the simulation cell length. @@ -508,6 +772,9 @@ CMSO is an ontology that aims to describe computational materials science sample Amorphous Material + Amorphous Solid + Non-crystalline Solid + An amorphous material or solid is a material which has no defined long-range periodicity. @@ -516,6 +783,7 @@ CMSO is an ontology that aims to describe computational materials science sample Angle + An angle is a measure of the the space (usually in degrees) between two intersecting lines at the point where they meet or vertex. @@ -524,7 +792,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Reference: https://goldbook.iupac.org/terms/view/A00493 Atom + Smallest particle still characterizing a chemical element. It consists of a nucleus of a positive charge (Z is the proton number and e the elementary charge) carrying almost all its mass (more than 99.9%) and Z electrons determining its size. @@ -534,6 +804,7 @@ CMSO is an ontology that aims to describe computational materials science sample Atomic Scale Sample + Atomic scale sample is a computational sample in the atomic length scale. @@ -542,23 +813,16 @@ CMSO is an ontology that aims to describe computational materials science sample Basis + The basis of a crystal indicates the arrangement or position of atoms in the crystal lattice. - + - - - Bravais Lattice - - - - - - - - Chemical Composition + + Calculated Property + A calculated property is a property of a material resulting from a calculation or simulation. @@ -566,7 +830,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Reference: https://goldbook.iupac.org/terms/view/C01022 Chemical Element + A species of atoms; all atoms with the same number of protons in the atomic nucleus. @@ -574,7 +840,10 @@ CMSO is an ontology that aims to describe computational materials science sample + In this context, it refers to either an atom, ion or molecule. + Reference: https://goldbook.iupac.org/terms/view/CT01038 Chemical Species + A chemical species is an ensemble of chemically identical atomic or molecular structural units in a solid array. Comment: In this context, it refers to either an atom, ion or molecule. @@ -583,6 +852,7 @@ CMSO is an ontology that aims to describe computational materials science sample Computational Sample + A computational sample is a representative system of a material for analysis through computational methods in the context of materials science. @@ -591,6 +861,8 @@ CMSO is an ontology that aims to describe computational materials science sample Crystal Defect + Crystallographic Defect + A crystal defect is an imperfection or irregularity in the atomic arrangement of a crystalline solid. @@ -599,7 +871,9 @@ CMSO is an ontology that aims to describe computational materials science sample + In this context, the crystal structure refers to the idealized state, while the defect information is represented elsewhere (see Crystal Defect). Crystal Structure + Crystal structure is the arrangement of atoms or molecules in the solid state. Crystal structure also involves consideration of defects, or abnormalities, in the idealized atomic/molecular arrangements. @@ -609,14 +883,9 @@ CMSO is an ontology that aims to describe computational materials science sample Crystalline Material - - - - - - - - Lattice + Crystal + Crystalline Solid + A crystalline material or solid is a material in which atoms or molecules are arranged in a highly ordered and repeating pattern, forming a three-dimensional crystal lattice. @@ -626,6 +895,7 @@ CMSO is an ontology that aims to describe computational materials science sample Lattice Angle + The lattice angle refers to the angles between the crystallographic axes. @@ -633,7 +903,18 @@ CMSO is an ontology that aims to describe computational materials science sample + + + + + + + + + The lattice angles can also be considered lattice parameters (see Lattice Angles) Lattice Parameter + Lattice Constant + The lattice parameter is the measurement of length of the unit cell of the crystal lattice. @@ -642,7 +923,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Note that it differs from the simulation cell vector. Lattice Vector + A lattice vector is a vector that defines the lattice of the crystal structure. @@ -651,6 +934,7 @@ CMSO is an ontology that aims to describe computational materials science sample Length + Length is a measure of distance. @@ -660,6 +944,8 @@ CMSO is an ontology that aims to describe computational materials science sample Macroscale Sample + Macro Scale Sample + Macroscale sample is a computational sample in the macroscale. @@ -667,7 +953,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Reference: https://web.archive.org/web/20100801234616/http://www.nature.com/nmat/authors/index.html Material + Materials are substances in the condensed states (liquid, solid, colloidal) designed or manipulated for technological ends. @@ -677,6 +965,8 @@ CMSO is an ontology that aims to describe computational materials science sample Mesoscale Sample + Meso Scale Sample + Mesoscale sample is a computational sample in the mesoscale. @@ -686,6 +976,8 @@ CMSO is an ontology that aims to describe computational materials science sample Microscale Sample + Micro Scale Sample + Microscale sample is a computational sample in the microscale. @@ -695,6 +987,7 @@ CMSO is an ontology that aims to describe computational materials science sample Microstructure + The microstructure is the structure or arrangement of all components (atomic arrangement, defects, phases, etc.) of the material at the microscale. @@ -703,7 +996,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Reference: https://goldbook.iupac.org/terms/view/M04002 Molecule + An electrically neutral entity consisting of more than one atom (n>1). Rigorously, a molecule, in which n>1 must correspond to a depression on the potential energy surface that is deep enough to confine at least one vibrational state. @@ -713,14 +1008,7 @@ CMSO is an ontology that aims to describe computational materials science sample Nanoscale Sample - - - - - - - - Occupancy + Nanoscale sample is a computational sample in the nanoscale. @@ -729,7 +1017,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Cartesian coordinates are preferred over direct (or fractional) coordinates. Position Vector + The position vector is a vector that represents the position of the atoms. @@ -738,6 +1028,9 @@ CMSO is an ontology that aims to describe computational materials science sample Simulation Cell + Box + Supercell + A simulation cell is a representation of the structure or system to be simulated. It is often a three-dimensional box (although not necessarily), where information about the crystal structure and material is contained. @@ -747,6 +1040,7 @@ CMSO is an ontology that aims to describe computational materials science sample Simulation Cell Angle + The simulation cell angle refers to the angles of the simulation cell in each direction. @@ -756,6 +1050,8 @@ CMSO is an ontology that aims to describe computational materials science sample Simulation Cell Length + Box length + The simulation cell length refers to the length (dimension) of the simulation cell or box. @@ -764,7 +1060,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Note that it differs from the lattice vector. Simulation Cell Vector + The simulation cell vector is a vector that defines the simulation cell or box. @@ -773,6 +1071,7 @@ CMSO is an ontology that aims to describe computational materials science sample Space Group + The space group represents the symmetry properties of the crystal. In three-dimensions, space groups are classified in 230 distinct groups. @@ -780,7 +1079,9 @@ CMSO is an ontology that aims to describe computational materials science sample + Reference: https://www.merriam-webster.com/dictionary/structure Structure + Structure is the the arrangement of particles or parts in a substance or body. @@ -789,6 +1090,7 @@ CMSO is an ontology that aims to describe computational materials science sample Unit Cell + The unit cell is the smallest repeating unit of the crystal structure which contains the overal symmetry of the crystal. The entire crystal lattice can be generated by repeating the unit cell in three dimensions. @@ -797,7 +1099,111 @@ CMSO is an ontology that aims to describe computational materials science sample Vector + Vector is a quantity that has a magnitude and direction. + + + + + + + A unit of measure, or unit, is a particular quantity value that has been chosen as a scale for measuring other quantities the same kind (more generally of equivalent dimension). For example, the meter is a quantity of length that has been rigorously defined and standardized by the BIPM (International Board of Weights and Measures). Any measurement of the length can be expressed as a number multiplied by the unit meter. More formally, the value of a physical quantity Q with respect to a unit (U) is expressed as the scalar multiple of a real number (n) and U, as \(Q = nU\). + + Unit + + + + + + + + A meaningful collection of concepts. + + + An idea or notion; a unit of thought. + + + A set of concepts, optionally including statements about semantic relationships between those concepts. + Thesauri, classification schemes, subject heading lists, taxonomies, 'folksonomies', and other types of controlled vocabulary are all examples of concept schemes. Concept schemes are also embedded in glossaries and terminologies. + + + An ordered collection of concepts, where both the grouping and the ordering are meaningful. + + + skos:broadMatch is used to state a hierarchical mapping link between two conceptual resources in different concept schemes. + + + Relates a concept to a concept that is more general in meaning. + + + skos:broaderTransitive is a transitive superproperty of skos:broader. + + + A note about a modification to a concept. + + + skos:closeMatch is used to link two concepts that are sufficiently similar that they can be used interchangeably in some information retrieval applications. In order to avoid the possibility of "compound errors" when combining mappings across more than two concept schemes, skos:closeMatch is not declared to be a transitive property. + + + A note for an editor, translator or maintainer of the vocabulary. + + + skos:exactMatch is used to link two concepts, indicating a high degree of confidence that the concepts can be used interchangeably across a wide range of information retrieval applications. skos:exactMatch is a transitive property, and is a sub-property of skos:closeMatch. + + + Relates, by convention, a concept scheme to a concept which is topmost in the broader/narrower concept hierarchies for that scheme, providing an entry point to these hierarchies. + + + A lexical label for a resource that should be hidden when generating visual displays of the resource, but should still be accessible to free text search operations. + + + A note about the past state/use/meaning of a concept. + + + Relates a resource (for example a concept) to a concept scheme in which it is included. + + + Relates two concepts coming, by convention, from different schemes, and that have comparable meanings + + + Relates a collection to one of its members. + + + Relates an ordered collection to the RDF list containing its members. + + + skos:narrowMatch is used to state a hierarchical mapping link between two conceptual resources in different concept schemes. + + + Relates a concept to a concept that is more specific in meaning. + + + skos:narrowerTransitive is a transitive superproperty of skos:narrower. + + + A notation, also known as classification code, is a string of characters such as "T58.5" or "303.4833" used to uniquely identify a concept within the scope of a given concept scheme. + + + Relates a concept to a concept with which there is an associative semantic relationship. + + + skos:relatedMatch is used to state an associative mapping link between two conceptual resources in different concept schemes. + + + A note that helps to clarify the meaning and/or the use of a concept. + + + Links a concept to a concept related by meaning. + + + Relates a concept to the concept scheme that it is a top level concept of. + diff --git a/pyscal_rdf/data/pldo.owl b/pyscal_rdf/data/pldo.owl new file mode 100644 index 0000000..35e31db --- /dev/null +++ b/pyscal_rdf/data/pldo.owl @@ -0,0 +1,541 @@ + + + + https://orcid.org/0000-0001-9560-4728 + https://orcid.org/0000-0002-5149-603X + https://orcid.org/0000-0002-6776-1213 + https://orcid.org/0000-0003-0698-4891 + https://orcid.org/0000-0001-7564-7990 + PLDO focuses on the description of planar defects in crystalline materials. + Planar Defects Ontology (PLDO) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Examples of a Contributor include a person, an organization, or a service. Typically, the name of a Contributor should be used to indicate the entity. + Contributor + An entity responsible for making contributions to the resource. + + + + + + + + + + Examples of a Creator include a person, an organization, or a service. Typically, the name of a Creator should be used to indicate the entity. + Creator + An entity primarily responsible for making the resource. + + + + + + + + + + + Description may include but is not limited to: an abstract, a table of contents, a graphical representation, or a free-text account of the resource. + Description + An account of the resource. + + + + + + + + + + + + + + + + + Title + A name given to the resource. + In current practice, this term is used primarily with literal values; however, there are important uses with non-literal values as well. As of December 2007, the DCMI Usage Board is leaving this range unspecified pending an investigation of options. + + + + + + + + + The range of skos:altLabel is the class of RDF plain literals. + skos:prefLabel, skos:altLabel and skos:hiddenLabel are pairwise disjoint properties. + + alternative label + An alternative lexical label for a resource. + Acronyms, abbreviations, spelling variants, and irregular plural/singular forms may be included among the alternative labels for a concept. Mis-spelled terms are normally included as hidden labels (see skos:hiddenLabel). + + + + + + + + + + definition + A statement or formal explanation of the meaning of a concept. + + + + + + + + + + example + An example of the use of a concept. + + + + + + + + + A general note, for any purpose. + + + + + + + + A resource has no more than one value of skos:prefLabel per language tag, and no more than one value of skos:prefLabel without language tag. + The range of skos:prefLabel is the class of RDF plain literals. + skos:prefLabel, skos:altLabel and skos:hiddenLabel are pairwise + disjoint properties. + + preferred label + The preferred lexical label for a resource, in a given language. + + + + + + + + + + + + + + + + has tilt component + The relation between a mixed grain boundary and the tilt grain boundary component. + + + + + + + + + + has twist component + The relation between a mixed grain boundary and the twist grain boundary component. + + + + + + + + + + + + + + geometrical degrees of freedom + The geometrical degrees of freedom are the parameters that are necessary to characterize a grain boundary. + + + + + + + + + + + has GB plane + A data property indicating the grain boundary (GB) plane using Miller Indices. + + + + + + + + + + + has misorientation angle + A data property indicating the misorientation angle (θ) of the grains with respect to each other. + + + + + + + + + + + has rotation axis + A data property indication the rotation axis [uvw]. + + + + + + + + + + Sigma value of a GB is the coincidence index, calculated as the coincidence unit cell volume by the crystal primitive unit cell volume. The coincidence index refers to the Coincidence Site Lattice (CSL). + has sigma value + A data property linking a GB with its sigma value. + + + + + + + + + + In simulations of grain boundaries, the macroscopic DOFs are imposed on the structure. + macroscopic degrees of freedom + There are five macroscopic degrees of freedom (DOFs) that are sufficient to describe the thermodynamic description of the grain boundary. + + + + + + + + + + In simulations of grain boundaries, the microscopic DOFs are obtained after the grain boundary energy minimization. + microscopic degrees of freedom + The microscopic degrees of freedom (DOFs) refer to the translation of one crystal with respect to the other at the microscopic scale. The microscopic parameters result from the relaxation process and are not independent of the macroscopic parameters. + + + + + + + + + + + + + + Antiphase Boundary + APB + An antiphase boundary is a planar defect which occurs in ordered alloys. The boundary separates two domains of the same ordered phase. + + + + + + + + + Grain Boundary + GB + A grain boundary is a planar defect that separates two crystals (or grains) of the same material. + + + + + + + + + Reference: ISBN 978-94-007-4968-9 + Low Angle Grain Boundary + Low-Angle Grain Boundary + A low angle GB is a grain boundary with a misorientation angle lower than 15 degrees. + + + + + + + + + Reference: ISBN 978-94-007-4968-9 + Mixed Grain Boundary + A mixed grain boundary is a grain boundary where the [uvw] rotation axis has perpendicular and parallel components with respect to the boundary plane. + + + + + + + + Planar Defect + Interface + A planar defect is a defect of the crystal structure across a plane. It is considered to be a two-dimensional defect, such as an internal interface or the surface. + + + + + + + + + Stacking Fault + A stacking fault is a planar defect created by an error (fault) in the order of the sequential layering of crystallographic planes. + + + + + + + + + Surface + The free surface (or external surface) of the material is a planar defect where the surface atoms have no neighbours or cohesive bonds on the external side. + + + + + + + + + Reference: ISBN 978-94-007-4968-9 + Symmetrical Tilt Grain Boundary + A symmetrical tilt grain boundary is a tilt grain boundary where the two grains are symmetric. The boundary plane has the same Miller indices in crystals I and II: {hkl}_1 = {hkl}_2. + + + + + + + + + Reference: ISBN 978-94-007-4968-9 + Tilt Grain Boundary + Tilt Boundary + A twist boundary is a grain boundary with a [uvw] rotation axis perpendicular to the boundary plane. + + + + + + + + + Twin Boundary + A twin boundary is a planar defect that occurs between two separate crystals which are mirror images of each other, both crystals should have the same crystal structure. + + + + + + + + + Reference: ISBN 978-94-007-4968-9 + Twist Grain Boundary + Twist Boundary + A twist boundary is a grain boundary with a [uvw] rotation axis contained within the boundary plane. + + + + + + + + A meaningful collection of concepts. + + + An idea or notion; a unit of thought. + + + A set of concepts, optionally including statements about semantic relationships between those concepts. + Thesauri, classification schemes, subject heading lists, taxonomies, 'folksonomies', and other types of controlled vocabulary are all examples of concept schemes. Concept schemes are also embedded in glossaries and terminologies. + + + An ordered collection of concepts, where both the grouping and the ordering are meaningful. + + + skos:broadMatch is used to state a hierarchical mapping link between two conceptual resources in different concept schemes. + + + Relates a concept to a concept that is more general in meaning. + + + skos:broaderTransitive is a transitive superproperty of skos:broader. + + + A note about a modification to a concept. + + + skos:closeMatch is used to link two concepts that are sufficiently similar that they can be used interchangeably in some information retrieval applications. In order to avoid the possibility of "compound errors" when combining mappings across more than two concept schemes, skos:closeMatch is not declared to be a transitive property. + + + A note for an editor, translator or maintainer of the vocabulary. + + + skos:exactMatch is used to link two concepts, indicating a high degree of confidence that the concepts can be used interchangeably across a wide range of information retrieval applications. skos:exactMatch is a transitive property, and is a sub-property of skos:closeMatch. + + + Relates, by convention, a concept scheme to a concept which is topmost in the broader/narrower concept hierarchies for that scheme, providing an entry point to these hierarchies. + + + A lexical label for a resource that should be hidden when generating visual displays of the resource, but should still be accessible to free text search operations. + + + A note about the past state/use/meaning of a concept. + + + Relates a resource (for example a concept) to a concept scheme in which it is included. + + + Relates two concepts coming, by convention, from different schemes, and that have comparable meanings + + + Relates a collection to one of its members. + + + Relates an ordered collection to the RDF list containing its members. + + + skos:narrowMatch is used to state a hierarchical mapping link between two conceptual resources in different concept schemes. + + + Relates a concept to a concept that is more specific in meaning. + + + skos:narrowerTransitive is a transitive superproperty of skos:narrower. + + + A notation, also known as classification code, is a string of characters such as "T58.5" or "303.4833" used to uniquely identify a concept within the scope of a given concept scheme. + + + Relates a concept to a concept with which there is an associative semantic relationship. + + + skos:relatedMatch is used to state an associative mapping link between two conceptual resources in different concept schemes. + + + A note that helps to clarify the meaning and/or the use of a concept. + + + Links a concept to a concept related by meaning. + + + Relates a concept to the concept scheme that it is a top level concept of. + + + + + + + diff --git a/pyscal_rdf/data/podo.owl b/pyscal_rdf/data/podo.owl new file mode 100644 index 0000000..e19b071 --- /dev/null +++ b/pyscal_rdf/data/podo.owl @@ -0,0 +1,428 @@ + + + + https://orcid.org/0000-0001-9560-4728 + https://orcid.org/0000-0002-5149-603X + https://orcid.org/0000-0002-6776-1213 + https://orcid.org/0000-0003-0698-4891 + https://orcid.org/0000-0001-7564-7990 + PODO focuses on the description of point defects in crystalline materials. + Point Defects Ontology (PODO) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Examples of a Contributor include a person, an organization, or a service. Typically, the name of a Contributor should be used to indicate the entity. + Contributor + An entity responsible for making contributions to the resource. + + + + + + + + + + Examples of a Creator include a person, an organization, or a service. Typically, the name of a Creator should be used to indicate the entity. + Creator + An entity primarily responsible for making the resource. + + + + + + + + + + + Description may include but is not limited to: an abstract, a table of contents, a graphical representation, or a free-text account of the resource. + Description + An account of the resource. + + + + + + + + + + + + + + + + + Title + A name given to the resource. + In current practice, this term is used primarily with literal values; however, there are important uses with non-literal values as well. As of December 2007, the DCMI Usage Board is leaving this range unspecified pending an investigation of options. + + + + + + + + + The range of skos:altLabel is the class of RDF plain literals. + skos:prefLabel, skos:altLabel and skos:hiddenLabel are pairwise disjoint properties. + + alternative label + An alternative lexical label for a resource. + Acronyms, abbreviations, spelling variants, and irregular plural/singular forms may be included among the alternative labels for a concept. Mis-spelled terms are normally included as hidden labels (see skos:hiddenLabel). + + + + + + + + + + definition + A statement or formal explanation of the meaning of a concept. + + + + + + + + + + example + An example of the use of a concept. + + + + + + + + + A general note, for any purpose. + + + + + + + + A resource has no more than one value of skos:prefLabel per language tag, and no more than one value of skos:prefLabel without language tag. + The range of skos:prefLabel is the class of RDF plain literals. + skos:prefLabel, skos:altLabel and skos:hiddenLabel are pairwise + disjoint properties. + + preferred label + The preferred lexical label for a resource, in a given language. + + + + + + + + + + + + + + has number of vacancies + A data property indicating the total number of vacancies in the crystal structure. + + + + + + + + Note that the vacancy concentration is given as a fraction, with a value from 0 to 1. + has vacancy concentration + A data property indicating the vacancy concentration. + + + + + + + + + + + + + + Reference: ISBN 978-1-119-45416-8 + Antisite Defect + Antisite Defect is a point defect which occurs in ordered alloys or compounds when two atoms of different type switch positions. + + + + + + + + + Reference: ISBN 978-1-119-45416-8 + Frenkel Defect + Frenkel Pair + A Frenkel defect is a point defect which occurs in ionic crystals when an ion is removed to an interstitial position, leaving a vacancy behind. + + + + + + + + + Impurity + An impurity is a point defect where foreign atoms (of different type as the host atom) enter the crystal lattice. + + + + + + + + + Interstitial + An interstitial is a point defect where an atom occupies an interstitial site. In crystallography, interstitial sites are the empty space between the atoms (assuming a hard-sphere model). + + + + + + + + + + Interstitial Impurity + A interstitial impurity is a point defect where the atom occupying the interstitial site is of a different type as the matrix. + + + + + + + + Point Defect + A point defect is a crystalline defect which is localized at or around a single lattice point. It is considered to be a zero-dimensional defect because it does not extend in any dimension in the lattice. + + + + + + + + + Schottky Defect + A Schottky defect is a point defect which occurs in ionic crystals when oppositely charged ions create a vacancy in the interior of the lattice and go to the surface. + + + + + + + + + Self-interstitial + A self-interstitial is an insterstitial defect where the atom occupying the interstitial site is of the same type as the matrix. + + + + + + + + + Substitutional Impurity + A substitutional impurity is an impurity where an atom of different type replaces a host or matrix atom. + + + + + + + + + Vacancy + A vacancy is a point defect in which an atom is missing from its original lattice site. + + + + + + + + A meaningful collection of concepts. + + + An idea or notion; a unit of thought. + + + A set of concepts, optionally including statements about semantic relationships between those concepts. + Thesauri, classification schemes, subject heading lists, taxonomies, 'folksonomies', and other types of controlled vocabulary are all examples of concept schemes. Concept schemes are also embedded in glossaries and terminologies. + + + An ordered collection of concepts, where both the grouping and the ordering are meaningful. + + + skos:broadMatch is used to state a hierarchical mapping link between two conceptual resources in different concept schemes. + + + Relates a concept to a concept that is more general in meaning. + + + skos:broaderTransitive is a transitive superproperty of skos:broader. + + + A note about a modification to a concept. + + + skos:closeMatch is used to link two concepts that are sufficiently similar that they can be used interchangeably in some information retrieval applications. In order to avoid the possibility of "compound errors" when combining mappings across more than two concept schemes, skos:closeMatch is not declared to be a transitive property. + + + A note for an editor, translator or maintainer of the vocabulary. + + + skos:exactMatch is used to link two concepts, indicating a high degree of confidence that the concepts can be used interchangeably across a wide range of information retrieval applications. skos:exactMatch is a transitive property, and is a sub-property of skos:closeMatch. + + + Relates, by convention, a concept scheme to a concept which is topmost in the broader/narrower concept hierarchies for that scheme, providing an entry point to these hierarchies. + + + A lexical label for a resource that should be hidden when generating visual displays of the resource, but should still be accessible to free text search operations. + + + A note about the past state/use/meaning of a concept. + + + Relates a resource (for example a concept) to a concept scheme in which it is included. + + + Relates two concepts coming, by convention, from different schemes, and that have comparable meanings + + + Relates a collection to one of its members. + + + Relates an ordered collection to the RDF list containing its members. + + + skos:narrowMatch is used to state a hierarchical mapping link between two conceptual resources in different concept schemes. + + + Relates a concept to a concept that is more specific in meaning. + + + skos:narrowerTransitive is a transitive superproperty of skos:narrower. + + + A notation, also known as classification code, is a string of characters such as "T58.5" or "303.4833" used to uniquely identify a concept within the scope of a given concept scheme. + + + Relates a concept to a concept with which there is an associative semantic relationship. + + + skos:relatedMatch is used to state an associative mapping link between two conceptual resources in different concept schemes. + + + A note that helps to clarify the meaning and/or the use of a concept. + + + Links a concept to a concept related by meaning. + + + Relates a concept to the concept scheme that it is a top level concept of. + + + + + + + diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index b250c4c..c8e1f9e 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -25,6 +25,11 @@ PLDO = Namespace("http://purls.helmholtz-metadaten.de/pldo/") PODO = Namespace("http://purls.helmholtz-metadaten.de/podo/") +structures = os.path.join(os.path.dirname(__file__), "data/cmso.owl") +with open(structures, 'r') as fin: + for line in fin: + a=line + defstyledict = { "BNode": {"color": "#ffe6ff", "shape": "box", @@ -101,6 +106,7 @@ def __init__(self, graph_file=None, self.sgraph = None #self._query_graph = OntologyNetwork() self._atom_ids = None + def process_structure(self, structure, format=None): """ From 175888d6cc1be7ad12e95300df03d4a7fcf93149 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 17:40:38 +0100 Subject: [PATCH 14/49] fix Or constructor --- pyscal_rdf/network/parser.py | 21 +++++++++++++++------ 1 file changed, 15 insertions(+), 6 deletions(-) diff --git a/pyscal_rdf/network/parser.py b/pyscal_rdf/network/parser.py index 9337a7b..a127b2b 100644 --- a/pyscal_rdf/network/parser.py +++ b/pyscal_rdf/network/parser.py @@ -1,6 +1,6 @@ from pyscal_rdf.network.term import OntoTerm from owlready2 import get_ontology - +import owlready2 import os import copy @@ -26,6 +26,7 @@ def __init__(self, infile, delimiter='/'): self.extra_namespaces = {'rdf': 'http://www.w3.org/1999/02/22-rdf-syntax-ns#', } self._parse_class() + #print(self.attributes) self._parse_object_property() self._parse_data_property() self._recheck_namespaces() @@ -105,7 +106,7 @@ def _parse_data_property(self): rn = [r.__name__ for r in rn[0].Classes if r is not None] except: rn = [r.__name__ for r in rn if r is not None] - term = OntoTerm(iri) + term = OntoTerm(iri, delimiter=self.delimiter) term.domain = dm term.range = rn term.node_type = 'data_property' @@ -122,7 +123,14 @@ def _parse_object_property(self): try: dm = [self._strip_name(d.iri) for d in dm[0].Classes] except: - dm = [self._strip_name(d.iri) for d in dm] + dmnew = [] + for d in dm: + if isinstance(d, owlready2.class_construct.Or): + for x in d.Classes: + dmnew.append(self._strip_name(x.iri)) + else: + dmnew.append(self._strip_name(d.iri)) + dm = dmnew #now get subclasses dm = [self._get_subclasses(d) for d in dm] @@ -138,7 +146,7 @@ def _parse_object_property(self): rn = [self._get_subclasses(d) for d in rn] rn = list(itertools.chain(*rn)) - term = OntoTerm(iri) + term = OntoTerm(iri, delimiter=self.delimiter) term.domain = dm term.range = rn term.node_type = 'object_property' @@ -157,16 +165,17 @@ def _parse_class_basic(self): for c in self.tree.classes(): iri = c.iri #print(iri) + #print(iri) try: subclasses = self.tree.search(subclass_of=getattr(self.tree, c.name)) for sb in subclasses: - term = OntoTerm(sb.iri) + term = OntoTerm(sb.iri, delimiter=self.delimiter) term.node_type ='class' self.attributes['class'][term.name] = term subclasses = [self._strip_name(sb.iri) for sb in subclasses] classes.append(subclasses) except: - term = OntoTerm(c.iri) + term = OntoTerm(c.iri, delimiter=self.delimiter) term.node_type ='class' self.attributes['class'][term.name] = term classes.append([self._strip_name(c.iri)]) From 7692498a780bb417fa87ac796e2a65c9fd4ddcf4 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 18:54:44 +0100 Subject: [PATCH 15/49] update term --- pyscal_rdf/network/term.py | 48 +++++++++++++++++++++++++++++--------- 1 file changed, 37 insertions(+), 11 deletions(-) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 12d4122..6b1926c 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -4,6 +4,40 @@ from rdflib import Namespace import numbers +def strip_name(uri, delimiter, get_what='name'): + if get_what == "name": + if delimiter == "/": + uri_split = uri.split(delimiter) + if len(uri_split)>1: + name = ":".join(uri_split[-2:]) + else: + name = uri + else: + uri_split = uri.split(delimiter) + name = uri_split[-1] + uri_split = uri_split[0].split("/") + if len(uri_split)>0: + namespace = uri_split[-1] + name = ":".join([namespace, name]) + return name + + elif get_what == "namespace": + if delimiter == "/": + uri_split = self.uri.split(self.delimiter) + if len(uri_split)>1: + namespace = uri_split[-2] + else: + namespace = self.uri + else: + uri_split = self.uri.split(self.delimiter) + uri_split = uri_split[0].split("/") + if len(uri_split)>0: + namespace = uri_split[-1] + else: + namespace = self.uri + return namespace + + class OntoTerm: def __init__(self, uri, node_type=None, dm=[], rn=[], data_type=None, @@ -47,19 +81,11 @@ def name_without_prefix(self): @property def name(self): - uri_split = self.uri.split(self.delimiter) - if len(uri_split)>1: - return ":".join(uri_split[-2:]) - else: - return self.uri - + return strip_name(self.uri, self.delimiter, get_what="name") + @property def namespace(self): - uri_split = self.uri.split(self.delimiter) - if len(uri_split)>1: - return uri_split[-2] - else: - return self.uri + return strip_name(self.uri, self.delimiter, get_what="namespace") @property def namespace_with_prefix(self): From 275bb06a66f52e302ef61f013ef1a1c06e257613 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 18:57:44 +0100 Subject: [PATCH 16/49] update strip name --- pyscal_rdf/network/parser.py | 27 ++++++++++----------------- 1 file changed, 10 insertions(+), 17 deletions(-) diff --git a/pyscal_rdf/network/parser.py b/pyscal_rdf/network/parser.py index a127b2b..f3249d1 100644 --- a/pyscal_rdf/network/parser.py +++ b/pyscal_rdf/network/parser.py @@ -1,4 +1,4 @@ -from pyscal_rdf.network.term import OntoTerm +from pyscal_rdf.network.term import OntoTerm, strip_name from owlready2 import get_ontology import owlready2 @@ -58,13 +58,6 @@ def __add__(self, ontoparser): def __radd__(self, ontoparser): return self.__add__(ontoparser) - - def _strip_name(self, uri): - uri_split = uri.split(self.delimiter) - if len(uri_split)>1: - return ":".join(uri_split[-2:]) - else: - return uri def _strip_datatype(self, uri, delimiter='#'): uri_split = uri.split(delimiter) @@ -93,9 +86,9 @@ def _parse_data_property(self): iri = c.iri dm = c.domain try: - dm = [self._strip_name(d.iri) for d in dm[0].Classes] + dm = [strip_name(d.iri, self.delimiter) for d in dm[0].Classes] except: - dm = [self._strip_name(d.iri) for d in dm] + dm = [strip_name(d.iri, self.delimiter) for d in dm] #now get subclasses dm = [self._get_subclasses(d) for d in dm] @@ -121,15 +114,15 @@ def _parse_object_property(self): iri = c.iri dm = c.domain try: - dm = [self._strip_name(d.iri) for d in dm[0].Classes] + dm = [strip_name(d.iri, self.delimiter) for d in dm[0].Classes] except: dmnew = [] for d in dm: if isinstance(d, owlready2.class_construct.Or): for x in d.Classes: - dmnew.append(self._strip_name(x.iri)) + dmnew.append(strip_name(x.iri, self.delimiter)) else: - dmnew.append(self._strip_name(d.iri)) + dmnew.append(strip_name(d.iri, self.delimiter)) dm = dmnew #now get subclasses @@ -138,9 +131,9 @@ def _parse_object_property(self): rn = c.range try: - rn = [self._strip_name(r.iri) for r in rn[0].Classes] + rn = [strip_name(r.iri, self.delimiter) for r in rn[0].Classes] except: - rn = [self._strip_name(r.iri) for r in rn] + rn = [strip_name(r.iri, self.delimiter) for r in rn] #now get subclasses rn = [self._get_subclasses(d) for d in rn] @@ -172,13 +165,13 @@ def _parse_class_basic(self): term = OntoTerm(sb.iri, delimiter=self.delimiter) term.node_type ='class' self.attributes['class'][term.name] = term - subclasses = [self._strip_name(sb.iri) for sb in subclasses] + subclasses = [strip_name(sb.iri, self.delimiter) for sb in subclasses] classes.append(subclasses) except: term = OntoTerm(c.iri, delimiter=self.delimiter) term.node_type ='class' self.attributes['class'][term.name] = term - classes.append([self._strip_name(c.iri)]) + classes.append([strip_name(c.iri, self.delimiter)]) return classes def _aggregate_keys(self, dd): From ab656e7bbfbc955cff2c45777195ab484428edb5 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 18:59:01 +0100 Subject: [PATCH 17/49] remove self --- pyscal_rdf/network/term.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 6b1926c..8629d0c 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -23,18 +23,18 @@ def strip_name(uri, delimiter, get_what='name'): elif get_what == "namespace": if delimiter == "/": - uri_split = self.uri.split(self.delimiter) + uri_split = uri.split(delimiter) if len(uri_split)>1: namespace = uri_split[-2] else: - namespace = self.uri + namespace = uri else: - uri_split = self.uri.split(self.delimiter) + uri_split = uri.split(delimiter) uri_split = uri_split[0].split("/") if len(uri_split)>0: namespace = uri_split[-1] else: - namespace = self.uri + namespace = uri return namespace From ef2e2f6b9d7fab130a310e4955cbb958fe30987d Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 19:01:59 +0100 Subject: [PATCH 18/49] add more baked-in ontologies --- pyscal_rdf/data/mwo.rdf | 3013 ++++++++++++++++++++++++++++++++++++++ pyscal_rdf/data/prov.rdf | 1881 ++++++++++++++++++++++++ 2 files changed, 4894 insertions(+) create mode 100644 pyscal_rdf/data/mwo.rdf create mode 100644 pyscal_rdf/data/prov.rdf diff --git a/pyscal_rdf/data/mwo.rdf b/pyscal_rdf/data/mwo.rdf new file mode 100644 index 0000000..4dc0b00 --- /dev/null +++ b/pyscal_rdf/data/mwo.rdf @@ -0,0 +1,3013 @@ + + + + + + + + + + + + + The MatWerk ontology represents research data and related activities of the MSE community. A first version of the ontology will be simplified, focusing on (i) community structure: researchers, research projects, universities, and institutions; (ii) infrastructure: software, workflows, ontologies, schemas, APIs, instruments, facilities, educational resources; and (iii) data: repositories, databases, scientific publications, published datasets and reference data. + + + The MatWerk ontology + The purpose of the MatWerk Ontology is to represent the scientific and infrastructural status of the Materials Science and Engineering (MSE) community. It will be used as a backbone for the MSE Knowledge Graph. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + definition + definition + textual definition + + The official OBI definition, explaining the meaning of a class or property. Shall be Aristotelian, formalized and normalized. Can be augmented with colloquial definitions. + The official definition, explaining the meaning of a class or property. Shall be Aristotelian, formalized and normalized. Can be augmented with colloquial definitions. + 2012-04-05: +Barry Smith + +The official OBI definition, explains the meaning of a class or property: 'Shall be Aristotelian, formalized and normalized. Can be augmented with colloquial definitions' is terrible. + +Can you fix to something like: + +A statement of necessary and sufficient conditions explaining the meaning of an expression referring to a class or property. + +Alan Ruttenberg + +Your proposed definition is a reasonable candidate, except that it is very common that necessary and sufficient conditions are not given. Mostly they are necessary, occasionally they are necessary and sufficient or just sufficient. Often they use terms that are not themselves defined and so they effectively can't be evaluated by those criteria. + +On the specifics of the proposed definition: + +We don't have definitions of 'meaning' or 'expression' or 'property'. For 'reference' in the intended sense I think we use the term 'denotation'. For 'expression', I think we you mean symbol, or identifier. For 'meaning' it differs for class and property. For class we want documentation that let's the intended reader determine whether an entity is instance of the class, or not. For property we want documentation that let's the intended reader determine, given a pair of potential relata, whether the assertion that the relation holds is true. The 'intended reader' part suggests that we also specify who, we expect, would be able to understand the definition, and also generalizes over human and computer reader to include textual and logical definition. + +Personally, I am more comfortable weakening definition to documentation, with instructions as to what is desirable. + +We also have the outstanding issue of how to aim different definitions to different audiences. A clinical audience reading chebi wants a different sort of definition documentation/definition from a chemistry trained audience, and similarly there is a need for a definition that is adequate for an ontologist to work with. + PERSON:Daniel Schober + GROUP:OBI:<http://purl.obolibrary.org/obo/obi> + + definition + definition + textual definition + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + A shortened form of a word or phrase. [Definition Source: NCI] + abbreviation + + + + + + + + + The non-unique initials or abbreviated name used for identification. [Definition Source: NCI] + acronym + + + + + + + + + + Media Type or Extent + UDC + A media type or extent. + The set of conceptual resources specified by the Universal Decimal Classification. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + description + + + + + + + + [MIME] http://www.iana.org/assignments/media-types/ + Examples of dimensions include size and duration. Recommended best practice is to use a controlled vocabulary such as the list of Internet Media Types [MIME]. + The file format, physical medium, or dimensions of the resource. + +Examples of dimensions include size and duration. Recommended best practice is to use a controlled vocabulary such as the list of Internet Media Types. + Format + has format + + The file format, physical medium, or dimensions of the resource. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + has_broad_synonym + + + + + + + + + database_cross_reference + + + + + + + + + + + + + + + + + + + + has_exact_synonym + + + + + + + + + + + + + + + has_narrow_synonym + + + + + + + + + + + + + + + has_related_synonym + + + + + + + + + + + + + + + Note that this should be a super-property of hasRelatedSynonym, hasExactSynonym etc; however, we cannot state this and remain in OWL-DL + has_synonym + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + The property is a relationship between a resource and the best practice. + best practice + + + + + + + + best practice of + + + + + + + + + + + + + + + + + + The property relates a city or a state to a country where it is located. + country + + + + + + + + country of + + + + + + + + + + + The property relates a city to a federal state where it is located. + federal state + + + + + + + + federal state of + + + + + + + + + + + + + + + + + + The property relates a thing to an organisation or a project that provided funding for it. The sub-properties are used to specify more specific funding relationships. + funder + + + + + + + + funder of + + + + + + + + + + + + + + + + + + + The property relates a resource or a project to the organisation that provided funding for it. + funding organisation + + + + + + + + + + + + + + + + + funding organisation of + + + + + + + + + + + + The property relateds a resource to the project that provided funding for it. + funding project + + + + + + + + + funding project of + + + + + + + + + + + The property is a relationship between a thing and a place its located at. + location + + + + + + + + location of + + + + + + + + + + + The property relates a data collection to the type of object it contains. + object type + + + + + + + + object type of + + + + + + + + + + + The property is a parental relationship between organisations. + parent organisation + + + + + + + + + + + + + + + + + + + + + The property links software to a programming language it is written in. + programming language + + + + + + + + programming language of + + + + + + + + + + + + + + + + + + The property is a relationship between a resource and an organisation or a person responsible for publishing it. + publisher + + + + + + + + publisher of + + + + + + + + + + + The property is a relationship between related projects. The property is symmetric. + related project + + + + + + + + + + + The property relates a resource to its semantic expressivity spectrum. + semantic expressivity + + + + + + + + semantic expressivity of + + + + + + + + + + + The property relates a resource to the standard it relies on. + standard + + + + + + + + standard of + + + + + + + + subsidiary organization + + + + + + + + + + A relation between a dataset and the material it contains data on. + about material + + + + + + + + + + + + + + + + + A relation between a research group or large-scale facility and the organization it belongs to. + belongs to + + + + + + + + + + A relation between a resource and the specification it conforms to. + conforms to specification + + + + + + + + + + a relation between a person and an organization to which the person is affiliated. + has affiliation + + + + + + + + + + A relation between a resource and a person, who is the author. + has author + + + + + + + + + + A relation between a thing and its contact point, which can be a person or website. + has contact point + + + + + + + + + has contributor + + + + + + + + + + + + + + + + + + A relation between a dataset and a person or organization, who has created the data. + has creator + + + + + + + + + + + + + + + + + A relation between a resource or large-scale facility and the academic discipline of the produced work. + has discipline + + + + + + + + + + A relation between a resource and its documentation. + has documentation + + + + + + + + + + A relation between a person and an academic discipline or research topic, in which this person is an expert. + has expertise in + + + + + + + + + + The file format of the resource + has format + + + + + + + + + + + A relation between a research group and its leader. + has leader + + + + + + + + + + + + + + + + + A relation between an academic event and a person, who participates in teaching capacity in the event. + has lecturer + + + + + + + + + + A relation between an instrument and its documentation. + has manual + + + + + + + + + + + A relation between a research project and its members. + has member + + + + + + + + + + A relation between an instrument and the organization that acts as its owner. + has owner + + + + + + + + + + + A relation between two different resources, which indicates both are associated. + has related resource + + + + + + + + + + A relation between a software and the website of the repository where it is stored. + has repository + + + + + + + + + + A relation between a person (the bearer) and a role, in which the role specifically depends on the bearer for its existence. + has role + + + + + + + + + + A relation between a semantic resource and its SPARQL Endpoint. + has SPARQL endpoint + + + + + + + + + + A relation between a research project and the topic of the research question it investigates. + has topic + + + + + + + + + + a relation between a thing and its website. + has website + + + + + + + + + + + + + + + + + A relation between an organization or person and the resource of which it is a contributor. + is contributor of + + + + + + + + is leader of + + + + + + + + member of + + + + + + + + + + + + + + + + + A relation between an educational resource or academic event and the tools required to participate. + required tool + + + + + + + + + + + A relation between a work and a cited software. + software citation + + + + + + + + + + A relation between a resource and method it implements, uses or describes. + uses method + + + + + + + + + + A relation between an instrument and the technology it implements. + uses technology + + + + + + + + + + A relation between a research group and the topic in which it conducts research. + working on topic + + + + + + + + + + + Cytoscape plugins would be linked to the Cytoscape application via uses software, while Microsoft Excel is linked to Microsoft Office via has_part. + This property allows the linkage of two different pieces of software such that one directly executes or uses the other. The has_part relationship should instead be used to describe related but independent members of a larger software package, and 'uses platform' relationship should be used to describe which operating system(s) a particular piece of software can use. + Allyson Lister + uses software + + + + + + + + + + is software for + + + + + + + + + Provides a method of asserting what type of interactions are possible for the class in question. The interface must be from the 'software interface' hierarchy. + Allyson Lister + Andy Brown + Andy Brown + has interface + + + + + + + + + + + The relationship between an entity and the set of legal restrictions, i.e. license, which are applied in using or otherwise interacting with that entity. Eg. relationship between software and a software license. + has license + + + + + + + + The relationship between an entity and the set of legal restrictions, i.e. license, which are applied in using or otherwise interacting with that entity. Eg. relationship between a software license and the software which implements it. + is license for + + + + + + + + + + + 'is compatible license of' provides a method of marking two software licenses as compatible and without conflicts, e.g. that the Apache License version 2 is compatible with GNU GPL version 3. If two licenses are connected with this property, it means code released under one license can be released with code from the other license in a larger program. + http://www.gnu.org/licenses/gpl-faq.html#WhatDoesCompatMean, accessed 12 June 2013. + Allyson Lister + is compatible license of + + + + + + + + + + A citation or reference to another creative work, such as another publication, web page, scholarly article, etc. + + citation + + + + + + + + + + Operating systems supported (Windows 7, OS X 10.6, Android 1.6). + + operatingSystem + + + + + + + + + + + + + + + + + A person or organization that supports a thing through a pledge, promise, or financial contribution. E.g. a sponsor of a Medical Study or a corporate sponsor of an event. + + sponsor + + + + + + + + + + + has part + has part + + + + + + + + + + + + has sub event + has sub event + + + + + + + + is part of + is part of + + + + + + + + + is sub event of + is sub event of + + + + + + + + + + + A relation between company that makes goods for sale. + has manufacturer + + + + + + + + is manufacturer of + + + + + + + + + + + + + + + URL of a thing. + url + + + + + + + + + + + + + + + + A data property linking an entity to its description. + description + + + + + + + + + + + + + + + + email address + + + + + + + + A data property indicating the acronym of an entity, often represented as an abbreviation of the initials of the name or title of the entity. + has acronym + + + + + + + + + + A data property relating a work to its Digital Object Identifier (DOI). + has DOI + + + + + + + + + + + A data property relating a SPARQL EndPoint with its URL. + has endpoint URL + + + + + + + + + + A data property relating a person to their Open Researcher and Contributor ID (ORCID). + has ORCID + + + + + + + + + A data property linking a person with information about that person. + has personal information + + + + + + + + + + + + + + + + + A data property indicating the postal address of an entity. + has postal address + + + + + + + + + + + + + + + + + A data property indicating the postal code of an entity. + has postal code + + + + + + + + + + A data property relating a research project with a unique identifier, defined in a given context. + has project identifier + + + + + + + + + + A data property relating an organization to its identifier within the Research Organization Registry (ROR). + has ROR ID + + + + + + + + + + + + + + + + + A data property linking something, for example a piece of equipment, to its serial number. + has serial number + + + + + + + + + A number or string that identifies different variants or releases of a resource. + has version + + + + + + + + + A data property relating an instrument with the model information. + instrument model + + + + + + + + + + + + + + + + + A flag to indicate an organized event or educational resource can be accessed online. + is online + + + + + + + + A data property used for defining something with keywords. + keywords + + + + + + + + + + + + + + + + + A flag to signal that an instrument or large-scale facility is open to external use. + open for use + + + + + + + + + + + + + + + + + + + + The gender of this Agent (typically but not necessarily 'male' or 'female'). + + gender + + + + + + + + + + + + + + + + + + + Title (Mr, Mrs, Ms, Dr. etc) + + title + + + + + + + + + The date on which the CreativeWork was created or the item was added to a DataFeed. + + dateCreated + + + + + + + + + Date of first broadcast/publication. + + datePublished + + + + + + + + + + + + + + + + A flag to signal that the item, event, or place is accessible for free. + + free + + + + + + + + + duration + duration + + + + + + + + + end date + end date + + + + + + + + + start date + start date + + + + + + + + + + + + + A matter individual that stands for a real world object representing an amount of a physical substance (or mixture of substances) in different states of matter or phases. + An instance of a material (e.g. nitrogen) can represent different states of matter. The fact that the individual also belongs to other classes (e.g. Gas) would reveal the actual form in which the material is found. + Material usually means some definite kind, quality, or quantity of matter, especially as intended for use. + Material + Material + + + + + + + + + + Architecture, Art History, Musicology, Media Studies, Performing Arts + An academic discipline, a research field or domain of a resource, e.g. a data portal or a field of study of a person. + academic discipline + + + + + + + + + Berlin, Hannover, Kyiv + A city or a town where the thing is located. + city + + + + + + + + + RISM catalogue of musical sources + A tangible collection of valuables published or curated by an organisation or a person. + collection + + + + + + + + + NFDI4Culture, NFDI-MatWerk, DataPLANT. + NFDI consortia grouped by a discipline based in a science-led process managed by the German Research Foundation (DFG). + consortium + + + + + + + + + A country where the thing is located. + country + + + + + + + + + Bach digital, KultSam, MusiXplora + An online platform that provides access to data collections and datasets. + data portal + + + + + + + + + A dataset is associated with a structured information about a resource. + dataset + + + + + + + + + Sachsen, Berlin + A federal state where the thing is located. + federal state + + + + + + + + book, photograph, music sheet + A resource that identifies the type of object in a data collection. + object type + + + + + + + + + Universit\u00e4tsbibliothek Leipzig, S\u00e4chsisches Wirtschaftsarchiv, Museen der Stadt K\u00f6ln + An organisation of some kind, e.g. research organisation or business organisation + organization + + + + + + + + + Harald Sack, Tabea Tietz, Sasha Bruns, Etienne Posthumus + A resource that represents a single person. + person + + + + + + + + Hessen, Berlin, Schweiz + A spatial region, e.g. country, city or district. + place + + + + + + + + + + Java, Ruby, C++, Perl, PHP + A formal language used for implementing a software. + programming language + + + + + + + + + Freisch\u00fctz digital, Corpus Vitrearum Medii Aevi + A scientific or business endeavour that aims to conclude an investigation or to answer a research question. + project + + + + + + + + + A ressource that identifies a resource provided to the nfdi. + provided resource + + + + + + + + + MusiXplora: Visual analysis of a musicological encyclopedia, Textkategorien in kompositorischen Werkstattdokumenten + A published scholarly work that reports on ongoing activity about or within a resource, e.g. a dataset. + publication + + + + + + + + + + + + + + + + + The most generic kind of a resource and may be associated with any kind of creative work, e.g. datasets, books, movies, photographs; offered products and services, e.g. data portals, data curation, data digitization; and intangible things, e.g. subjects of creative works, topics of events, offers, a list of enumerations. + resource + + + + + + + + controlled vocabulary, ontology, taxonomy + An entity that identifies the level of the semantic expressivity of a resource. Five instances are now included in nfdicore. + semantic expressivity + + + + + + + + Expertise, advertisement, curation + A resource that identifies the type of a service. + service type + + + + + + + + + + Edirom, Muscat + A computer software provided by an organisation or a person. + software + + + + + + + + + RDF, SPARQL, Federation + A set of requirements, guidelines, standards contributed by an organisation or a person. + specification + + + + + + + + + ISO 15511, DINI-Zertifikat + An international standard and norm that can be used to evaluate or create services. + standard + + + + + + + + Groovy on Grails, Angular + A technology, e.g. a web application or a programming framework used in a resource. + technological means + + + + + + + + + https:\/\/opac.rism.info + A collection of webpages contributed by an organisation or a person. + website + + + + + + + + role + Role + John’s role of husband to Mary is dependent on Mary’s role of wife to John, and both are dependent on the object aggregate comprising John and Mary as member parts joined together through the relational quality of being married. + the priest role + the role of a boundary to demarcate two neighboring administrative territories + the role of a building in serving as a military target + the role of a stone in marking a property boundary + the role of subject in a clinical trial + the student role + BFO 2 Reference: One major family of examples of non-rigid universals involves roles, and ontologies developed for corresponding administrative purposes may consist entirely of representatives of entities of this sort. Thus ‘professor’, defined as follows,b instance_of professor at t =Def. there is some c, c instance_of professor role & c inheres_in b at t.denotes a non-rigid universal and so also do ‘nurse’, ‘student’, ‘colonel’, ‘taxpayer’, and so forth. (These terms are all, in the jargon of philosophy, phase sortals.) By using role terms in definitions, we can create a BFO conformant treatment of such entities drawing on the fact that, while an instance of professor may be simultaneously an instance of trade union member, no instance of the type professor role is also (at any time) an instance of the type trade union member role (any more than any instance of the type color is at any time an instance of the type length). If an ontology of employment positions should be defined in terms of roles following the above pattern, this enables the ontology to do justice to the fact that individuals instantiate the corresponding universals – professor, sergeant, nurse – only during certain phases in their lives. + b is a role means: b is a realizable entity & b exists because there is some single bearer that is in some special physical, social, or institutional set of circumstances in which this bearer does not have to be& b is not such that, if it ceases to exist, then the physical make-up of the bearer is thereby changed. (axiom label in BFO2 Reference: [061-001]) + (forall (x) (if (Role x) (RealizableEntity x))) // axiom label in BFO2 CLIF: [061-001] + + role + + + + + b is a role means: b is a realizable entity & b exists because there is some single bearer that is in some special physical, social, or institutional set of circumstances in which this bearer does not have to be& b is not such that, if it ceases to exist, then the physical make-up of the bearer is thereby changed. (axiom label in BFO2 Reference: [061-001]) + + + + + + (forall (x) (if (Role x) (RealizableEntity x))) // axiom label in BFO2 CLIF: [061-001] + + + + + + + + + + Examples include the formats defined by the list of Internet Media Types. + File Format + A digital resource format. + + + + + + + + Media Type + A file format or physical medium. + + + + + + + + + A database containing chemistry data. + chemistry database + + + + + + + + + + A computational workflow is a workflow which describes the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. + + computational workflow + + + + + + + + + + A role which inheres in a bearer and is realised when this person acts as the contact point regarding a contribution. + contact person + + + + + + + + A contact point is a person, website or e-mail which provides information concerning a resource. + Point of contact + contact point + + + + + + + + + A database containing crystal structures and data on structural and mathematical crystallography, solid state physics and structural chemistry. + crystallography database + + + + + + + + + A role which inheres in a bearer and is realised when this bearer has participated in the gathering of data. + The bearer in this definition might be a person or a software agent. Data may consist of subject data, object data or both. + data collector + + + + + + + + + A structured collection of logically related data usually stored and retrieved using computer-based means. + database + + + + + + + + + Documentation is any communicable material that is used to describe, explain or instruct regarding some attributes of an object, system or procedure, such as its parts, assembly, installation, maintenance and use + documentation + + + + + + + + + An organized event with the purpose of teaching knowledge to others by displaying educational materials. + educational event + + + + + + + + + A resource or material that can be used for teaching and learning puposes. + educational resource + + + + + + + + + An Electronic Lab Notebook is a software tool that digitally replicates paper lab notebooks traditionally used in the sciences to record experimental results. It allows scientists to access, search, and share results from an experiment. + Electronic Laboratory Notebook + electronic lab notebook + + + + + + + + + Experimental workflow is a workflow that describes an experimental process, including the design, preparation, measurement, and analysis of the data. + experimental workflow + + + + + + + + + A repository that is created and managed using a Git version control system. + git repository + + + + + + + + + A role which inheres in a bearer and is realized when this person holds the responsibility for the operations of a group of agents. + + The responsibilities of a group leader might include, among others, guiding, motivating, supporting and coordinating the group in different scopes (i.e. scientific, administrative, financial). In scientific projects (i.e. within the NFDI context) the group in this definition will be a research group, institute or department. In most cases the group leader is also the supervisor to the group + group leader + + + + + + + + A facility that provides access to large-scale scientific equipment and allows scientists to carry out state-of-the-art research. + large-scale facility + + + + + + + + + An academic event which is intented to deliver instruction on a specific topic, most commonly to an audience of university students. + lecture + + + + + + + + + A database containing data of experimental and computational properties of materials + materials database + + + + + + + + + A metadata schema is a specification which establishes the elements needed to describe a data resource in a formalized and concise manner. + metadata schema + + + + + + + + A method is a systematic procedure, technique, or mode of inquiry employed by or proper to a particular discipline or art. + + Approach + Procedure + Technique + method + + + + + + + + + A repository which contains ontologies. + ontology repository + + + + + + + + + A patent is an exclusive right granted for an invention, which is a product or a process that provides, in general, a new way of doing something, or offers a new technical solution to a problem. To get a patent, technical information about the invention must be disclosed to the public in a patent application. + + patent + + + + + + + + + A data repository which contains interatomic potentials or pseudopotentials for atomistic models. + potentials repository + + + + + + + + + Software which carries out a (planned) process on digital data, + Depending on the temporal relation of the carried out process to an analysis process, the process might either be termed "pre-processing" (e.g. converting file formats) or "post-processing" (e.g. spatial filtering of images). + processing software + + + + + + + + + A role which inheres in a bearer and is realized when a person is responsible for 1) the coordination of project resources and 2) the operations carried out within it. + + + In a project, a project leader might engage, motivate and support the team by establishing and maintaining productive operations + project leader + + + + + + + + + A role which inheres in a bearer and is realized when that person is responsible for 1) helping to define the project scope, goals and deliverables, 2) taking care of the budget, documentation and staffing, 3) reporting and documenting the progress, and 4) managing a project and meeting deadlines. + + project manager + + + + + + + + + A role which inheres in a bearer and is realized when this bearer participates in the planning, operation or dissemination of a project. + project member + + + + + + + + + A reference dataset is a dataset which meets certain criteria in order to (i) evaluate and validate experimental/modelling methods and their uncertainties; (ii) assess the performance of analysis, modelling and simulation tools by use of standardized processes; and (iii) provide comprehensive material descriptions. + reference dataset + + + + + + + + + A central location in which data is stored and managed. + repository + + + + + + + + A group of people who work in a university or research institute and carry research on one or more topics. + research group + + + + + + + + + Software which was created for a research purpose. + + Scientific software + Software components (e.g., operating systems, libraries, dependencies, packages, scripts, etc.) that are used for research but were not created during or with a clear research intent should be considered software in research and not Research Software. This differentiation may vary between disciplines. +Research software might be source code files, algorithms, scripts, computational workflows and executables + research software + + + + + + + + + A research topic is a specific field of study within a broader academic discipline. + Research area + Research field + Research subject + research topic + + + + + + + + + A machine-actionable controlled vocabularies to describe the meaning of the content and express relations among them. + semantic resource + + + + + + + + + An academic event where recuring meetings are held on a particular research topic, usually attended by academic and research staff. + Seminar + + + + + + + + + A repository which contains software and its components, including libraries, scripts, etc. + software repository + + + + + + + + + A SPARQL endpoint is a web service that provides an access point for receiving and processing SPARQL protocol requests + SPARQL endpoint + + + + + + + + + An academic event where a school session is conducted in summer enabling students to accelerate progress toward a diploma or degree, to make up credits lost through absence or failure, or to round out professional education. + + Summer School + + + + + + + + + A role which inheres in a bearer and is realized when a person is responsible for 1) the coordination and 2) the operations of another person, group or department. + In a project with more than one member, the project leader might engage, motivate and support the team by establishing and maintaining productive operations. Note that a project leader is not necessarily the group leader. + supervisor + + + + + + + + + An academic event where the objective is to teach skills needed for a particular task or job. + Training Course + + + + + + + + + Software which creates graphical representations of data, features of data or data sets. + Graphics software + visualization software + + + + + + + + + + A service that supports interoperable machine-to-machine interaction over a network. + web service + + + + + + + + + A workflow is a specification which describes a repeatable sequence of steps needed to create or produce a work. + workflow + + + + + + + + + A workflow environment is a software that manages and allows the user to create and interact with computational workflows. + workflow environment + + + + + + + + + This type covers computer programming languages such as Scheme and Lisp, as well as other language-like computer representations. Natural languages are best represented with the <a class="localLink" href="https://schema.org/Language">Language</a> type. + + ComputerLanguage + + + + + + + + + + + + + + + + + + + + An organization such as a school, NGO, corporation, club, etc. + Organization + + + + + + + + + + + + + + + + + + + + An enterprise (potentially individual but typically collaborative), planned to achieve a particular aim. Use properties from Organization, subOrganization/parentOrganization to indicate project sub-structures. + Project + + + + + + + + + A service provided by an organization, e.g. delivery service, print services, etc. + + Service + + + + + + + + Computer software, or generally just software, is any set of machine-readable instructions (most often in the form of a computer program) that conform to a given syntax (sometimes referred to as a language) that is interpretable by a given processor and that directs a computer's processor to perform specific operations. + James Malone + Modified in parts from https://en.wikipedia.org/wiki/Software + Robert Stevens + AL 7.9.22: There are some reasoning oddities associated with marking IAO and SWO software as equivalent; once these are sorted out, the equivalence statement will take the place of this current parent-child relationship. + software + + + + + + + + + + + + + + + + + + A licence is a legal instrument (usually by way of contract law, with or without printed material) governing the use or redistribution of the resource containing the licence. + Modified from http://en.wikipedia.org/wiki/Software_license + James Malone + licence + software license + + + + + + + + + Unix + + + + + + + + + An operating system is a piece of software which is responsible for managing software that runs on a computer and the interactions of that software with the hardware and system resources. + operating system + + + + + + + + + Linux + + + + + + + + + Mac OS is software which is used as the operating system for the Macintosh personal computer created by Apple Inc. + http://en.wikipedia.org/wiki/History_of_Mac_OS, accessed 25 March 2015. + Allyson Lister + Mac OS + + + + + + + + The mode of interaction with a piece of software. + software interface + + + + + + + + + The Windows Operating System + Microsoft Windows + + + + + + + + + A web service is a software interface which works as a method of communication between two electronic devices over the World Wide Web and which is provided at a particular network address. There are two major classes of Web services: REST-compliant Web services, and arbitrary (or application-specific) Web services. + Web Service + Modified from http://www.w3.org/TR/ws-arch/, accessed 6 June 2013; Modified from http://en.wikipedia.org/wiki/Web_service, accessed 6 June 2013. + Allyson Lister + web service + + + + + + + + + An application programming interface is a set of routines, protocols, and tools for building software applications. An API expresses a software component in terms of its operations, inputs, outputs, and underlying types. An API defines functionalities that are independent of their respective implementations, which allows definitions and implementations to vary without compromising each other. The API specifies how software components should interact. + API + http://en.wikipedia.org/wiki/Application_programming_interface, accessed 25 November 2014. + application programming interface + + + + + + + + + CC + Creative Commons + + + + + + + + + Proprietary commercial software license + + + + + + + + + Open source software license + + + + + + + + + License without restrictions on derivatives + + + + + + + + + A licensed is a free license according to GNU if the users have the four essential freedoms: + + The freedom to run the program, for any purpose (freedom 0). + The freedom to study how the program works, and change it so it does your computing as you wish (freedom 1). Access to the source code is a precondition for this. + The freedom to redistribute copies so you can help your neighbor (freedom 2). + The freedom to distribute copies of your modified versions to others (freedom 3). By doing this you can give the whole community a chance to benefit from your changes. Access to the source code is a precondition for this. + +A program is free software if users have all of these freedoms. Thus, you should be free to redistribute copies, either with or without modifications, either gratis or charging a fee for distribution, to anyone anywhere. Being free to do these things means (among other things) that you do not have to ask or pay for permission to do so. + +“Free software” does not mean “noncommercial”. A free program must be available for commercial use, commercial development, and commercial distribution. Commercial development of free software is no longer unusual; such free commercial software is very important. You may have paid money to get copies of free software, or you may have obtained copies at no charge. But regardless of how you got your copies, you always have the freedom to copy and change the software, even to sell copies. + http://www.gnu.org/philosophy/free-sw.html, accessed 12 June 2013. + Allyson Lister + Allyson Lister: This class defines those licenses which are free licenses, but which may or may not be compatible with any version of the GNU GPL. + GNU Project Free License Type + + + + + + + + + Allyson Lister + Artistic License + + + + + + + + + A license which allows any form of usage of the artifact. + free to use license + + + + + + + + + GNU AGPL + + + + + + + + + Open Data Commons + + + + + + + + + A vendor-specific license is a license which was, at least originally, created by a specific organization to be used just on the resources created within that organization. This is a hierarchy of convenience rather than of shared philosophy. Many of the licenses have since been taken up by other groups whose licensing requirements matched those of the originating organization. + Allyson Lister + Allyson Lister + Vendor-specific License + + + + + + + + + Fee-Based Commercial License is a license which, among its license clauses, states that commercial entities may use the resource for a fee. + Allyson Lister + Allyson Lister + Allyson Lister: This is a convenience class which combines multiple license clauses to create a defined class, such that any license type which meets the requirements will be inferred to fall into this category. + Fee-Based Commercial License + + + + + + + + + Non-Commercial No-Fee License is a license which, among its license clauses, states that non-commercial entities may use the resource without a purchase or usage cost. + Allyson Lister + Allyson Lister + Allyson Lister: This is a convenience class which combines multiple license clauses to create a defined class, such that any license type which meets the requirements will be inferred to fall into this category. + Non-Commercial No-Fee License + + + + + + + + + Academic events are e.g. conferences and conference-like events, and all the sub-events of those which are about the topic or theme of the conference, such as talks or panels. + Academic event + + + + + + + + + A conference event. + Conference + + + + + + + + + + + + + + + + + + + + + + + + + + Any kind of organised event having a start and an end date. + Organised event + + + + + + + + + A talk event. + Talk + + + + + + + + + An event which a teaching session is given to to an individual or very small group. + Tutorial + + + + + + + + + An event which is a long interactive meeting or educational session designed to create a specialized result. Workshops are smaller than conferences, and are usually only a day or two long and are dedicated to discussing a specific topic. + Workshop + + + + + + + + + Invited person to give a speech in an event. + Invited speakers + + + + + + + + + Someone who gives the main address at a formal gathering such as a conference . + Keynote speaker + + + + + + + + + A tool or implement, especially one for precision work. + Instrument + + + + + + + + + + An instrument needed for operations in various laboratories, synthesis and analysis. + Laboratory Instrument + + + + + + + + Science is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe. + Science + + + + + + + + + A programming language is a formal language, which comprises a set of instructions that produce various kinds of output. Programming languages are used in computer programming to implement algorithms. + Programming Language + + + + + + + + + A scientific instrument is, broadly speaking, a device or tool used for scientific purposes, including the study of both natural phenomena and theoretical research. + Scientific Instrument + Instrument + + + + + + + + Companies manufacturing equipment for scientific sstudies. + Scientific Instrument Manufacturer + + + + + + + + Technology is the collection of techniques, skills, methods, and processes used in the production of goods or services or in the accomplishment of objectives, such as scientific investigation. + Technology + + + + + + + + + + + + + + A list of terms, natural language definitions and naming conventions. In comparisson to a glossary, there is a dedicated curation mechanism for new terms in a controlled vocabulary. + controlled vocabulary + + + + + + + + + A list of terms and their with natural language definitions. + glossary + + + + + + + + + A data model in a class hierarchy, where all concepts inherit their behaviour from the super-class concept. Taxonomies can be strict or non strict and can contain instances. + taxonomy + + + + + + + + + A structured list of terms and relations between the terms, as e.g. broader/narrower. + thesaurus + + + + + + + + A set of concepts belong to a specific domain and their properties and the relations between them. + ontology + + + + + + + + Recommended best practice is to identify the resource by means of a string conforming to a formal identification system. + Identifier + An unambiguous reference to the resource within a given context. + + + A name given to a resource. Typically, the title will be the name by which the resource is formally known. + has title + + + + + + + diff --git a/pyscal_rdf/data/prov.rdf b/pyscal_rdf/data/prov.rdf new file mode 100644 index 0000000..0883668 --- /dev/null +++ b/pyscal_rdf/data/prov.rdf @@ -0,0 +1,1881 @@ + + + + This document is published by the Provenance Working Group (http://www.w3.org/2011/prov/wiki/Main_Page). + +If you wish to make comments regarding this document, please send them to public-prov-comments@w3.org (subscribe public-prov-comments-request@w3.org, archives http://lists.w3.org/Archives/Public/public-prov-comments/). All feedback is welcome. + W3C PROVenance Interchange Ontology (PROV-O) + + + Recommendation version 2013-04-30 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Classify prov-o terms into three categories, including 'starting-point', 'qualifed', and 'extended'. This classification is used by the prov-o html document to gently introduce prov-o terms to its users. + + + + + + + + + Classify prov-o terms into six components according to prov-dm, including 'agents-responsibility', 'alternate', 'annotations', 'collections', 'derivations', and 'entities-activities'. This classification is used so that readers of prov-o specification can find its correspondence with the prov-dm specification. + + + + + + + + + A reference to the principal section of the PROV-CONSTRAINTS document that describes this concept. + + + + + + + + + + A definition quoted from PROV-DM or PROV-CONSTRAINTS that describes the concept expressed with this OWL term. + + + + + + + + + A reference to the principal section of the PROV-DM document that describes this concept. + + + + + + + + + + A note by the OWL development team about how this term expresses the PROV-DM concept, or how it should be used in context of semantic web or linked data. + + + + + + + + + When the prov-o term does not have a definition drawn from prov-dm, and the prov-o editor provides one. + + + + + + + + + + PROV-O does not define all property inverses. The directionalities defined in PROV-O should be given preference over those not defined. However, if users wish to name the inverse of a PROV-O property, the local name given by prov:inverse should be used. + + + + + + + + + + A reference to the principal section of the PROV-DM document that describes this concept. + + + + + + + + + + The position that this OWL term should be listed within documentation. The scope of the documentation (e.g., among all terms, among terms within a prov:category, among properties applying to a particular class, etc.) is unspecified. + + + + + + + + + This annotation property links a subproperty of prov:wasInfluencedBy with the subclass of prov:Influence and the qualifying property that are used to qualify it. + +Example annotation: + + prov:wasGeneratedBy prov:qualifiedForm prov:qualifiedGeneration, prov:Generation . + +Then this unqualified assertion: + + :entity1 prov:wasGeneratedBy :activity1 . + +can be qualified by adding: + + :entity1 prov:qualifiedGeneration :entity1Gen . + :entity1Gen + a prov:Generation, prov:Influence; + prov:activity :activity1; + :customValue 1337 . + +Note how the value of the unqualified influence (prov:wasGeneratedBy :activity1) is mirrored as the value of the prov:activity (or prov:entity, or prov:agent) property on the influence class. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Classes and properties used to qualify relationships are annotated with prov:unqualifiedForm to indicate the property used to assert an unqualified provenance relation. + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + An object property to express the accountability of an agent towards another agent. The subordinate agent acted on behalf of the responsible agent in an actual activity. + + actedOnBehalfOf + starting-point + agents-responsibility + hadDelegate + + + + + + + + + + + + + + activity + qualified + This property behaves in spirit like rdf:object; it references the object of a prov:wasInfluencedBy triple. + The prov:activity property references an prov:Activity which influenced a resource. This property applies to an prov:ActivityInfluence, which is given by a subproperty of prov:qualifiedInfluence from the influenced prov:Entity, prov:Activity or prov:Agent. + activityOfInfluence + + + + + + + + + + + + agent + qualified + This property behaves in spirit like rdf:object; it references the object of a prov:wasInfluencedBy triple. + The prov:agent property references an prov:Agent which influenced a resource. This property applies to an prov:AgentInfluence, which is given by a subproperty of prov:qualifiedInfluence from the influenced prov:Entity, prov:Activity or prov:Agent. + agentOfInfluence + + + + + + + + + + + alternateOf + + expanded + alternate + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + Two alternate entities present aspects of the same thing. These aspects may be the same or different, and the alternate entities may or may not overlap in time. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-alternate + alternateOf + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-alternate + + + + + + + + + + + + + + + + + + + The Location of any resource. + This property has multiple RDFS domains to suit multiple OWL Profiles. See <a href="#owl-profile">PROV-O OWL Profile</a>. + + atLocation + expanded + The naming of prov:atLocation parallels prov:atTime, and is not named prov:hadLocation to avoid conflicting with the convention that prov:had* properties are used on prov:Influence classes. + This property is not functional because the many values could be at a variety of granularies (In this building, in this room, in that chair). + locationOf + + + + + + + + + + + + + entity + qualified + This property behaves in spirit like rdf:object; it references the object of a prov:wasInfluencedBy triple. + The prov:entity property references an prov:Entity which influenced a resource. This property applies to an prov:EntityInfluence, which is given by a subproperty of prov:qualifiedInfluence from the influenced prov:Entity, prov:Activity or prov:Agent. + entityOfInfluence + + + + + + + + + + + + + generated + expanded + entities-activities + prov:generated is one of few inverse property defined, to allow Activity-oriented assertions in addition to Entity-oriented assertions. + wasGeneratedBy + + + + + + + + + + + + + + + + + + + + + The _optional_ Activity of an Influence, which used, generated, invalidated, or was the responsibility of some Entity. This property is _not_ used by ActivityInfluence (use prov:activity instead). + This property has multiple RDFS domains to suit multiple OWL Profiles. See <a href="#owl-profile">PROV-O OWL Profile</a>. + + hadActivity + qualified + derivations + The multiple rdfs:domain assertions are intended. One is simpler and works for OWL-RL, the union is more specific but is not recognized by OWL-RL. + wasActivityOfInfluence + + + + + + + + + + + The _optional_ Generation involved in an Entity's Derivation. + + hadGeneration + qualified + derivations + generatedAsDerivation + + + + + + + + + + + + + hadMember + expanded + expanded + wasMemberOf + + + + + + + A collection is an entity that provides a structure to some constituents, which are themselves entities. These constituents are said to be member of the collections. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-collection + + + + + + + + + + The _optional_ Plan adopted by an Agent in Association with some Activity. Plan specifications are out of the scope of this specification. + + hadPlan + qualified + agents-responsibility + wasPlanOf + + + + + + + + + + + + + + + + + hadPrimarySource + expanded + derivations + wasPrimarySourceOf + + + + + + + + hadPrimarySource property is a particular case of wasDerivedFrom (see http://www.w3.org/TR/prov-dm/#term-original-source) that aims to give credit to the source that originated some information. + + + + + + + + + + + + + + + + + + The _optional_ Role that an Entity assumed in the context of an Activity. For example, :baking prov:used :spoon; prov:qualified [ a prov:Usage; prov:entity :spoon; prov:hadRole roles:mixing_implement ]. + This property has multiple RDFS domains to suit multiple OWL Profiles. See <a href="#owl-profile">PROV-O OWL Profile</a>. + + hadRole + qualified + agents-responsibility + prov:hadRole references the Role (i.e. the function of an entity with respect to an activity), in the context of an instantaneous usage, generation, association, start, and end. + wasRoleIn + + + + + + + + + + + The _optional_ Usage involved in an Entity's Derivation. + + hadUsage + qualified + derivations + wasUsedInDerivation + + + + + + + + + + + influenced + expanded + agents-responsibility + wasInfluencedBy + + + + + + + + + + + Subproperties of prov:influencer are used to cite the object of an unqualified PROV-O triple whose predicate is a subproperty of prov:wasInfluencedBy (e.g. prov:used, prov:wasGeneratedBy). prov:influencer is used much like rdf:object is used. + + influencer + qualified + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-influence + This property and its subproperties are used in the same way as the rdf:object property, i.e. to reference the object of an unqualified prov:wasInfluencedBy or prov:influenced triple. + This property is used as part of the qualified influence pattern. Subclasses of prov:Influence use these subproperties to reference the resource (Entity, Agent, or Activity) whose influence is being qualified. + hadInfluence + + + + + + + + + + + + + invalidated + expanded + entities-activities + prov:invalidated is one of few inverse property defined, to allow Activity-oriented assertions in addition to Entity-oriented assertions. + wasInvalidatedBy + + + + + + + + + + + + If this Activity prov:wasAssociatedWith Agent :ag, then it can qualify the Association using prov:qualifiedAssociation [ a prov:Association; prov:agent :ag; :foo :bar ]. + + qualifiedAssociation + qualified + agents-responsibility + qualifiedAssociationOf + + + + + + + + + + + + + If this Entity prov:wasAttributedTo Agent :ag, then it can qualify how it was influenced using prov:qualifiedAttribution [ a prov:Attribution; prov:agent :ag; :foo :bar ]. + + qualifiedAttribution + qualified + agents-responsibility + qualifiedAttributionOf + + + + + + + + + + + + + If this Activity prov:wasInformedBy Activity :a, then it can qualify how it was influenced using prov:qualifiedCommunication [ a prov:Communication; prov:activity :a; :foo :bar ]. + + qualifiedCommunication + qualified + entities-activities + qualifiedCommunicationOf + + + + + + + + + + + + + If this Agent prov:actedOnBehalfOf Agent :ag, then it can qualify how with prov:qualifiedResponsibility [ a prov:Responsibility; prov:agent :ag; :foo :bar ]. + + qualifiedDelegation + qualified + agents-responsibility + qualifiedDelegationOf + + + + + + + + + + + + + If this Entity prov:wasDerivedFrom Entity :e, then it can qualify how it was derived using prov:qualifiedDerivation [ a prov:Derivation; prov:entity :e; :foo :bar ]. + + qualifiedDerivation + qualified + derivations + qualifiedDerivationOf + + + + + + + + + + + + + If this Activity prov:wasEndedBy Entity :e1, then it can qualify how it was ended using prov:qualifiedEnd [ a prov:End; prov:entity :e1; :foo :bar ]. + + qualifiedEnd + qualified + entities-activities + qualifiedEndOf + + + + + + + + + + + + + If this Activity prov:generated Entity :e, then it can qualify how it performed the Generation using prov:qualifiedGeneration [ a prov:Generation; prov:entity :e; :foo :bar ]. + + qualifiedGeneration + qualified + entities-activities + qualifiedGenerationOf + + + + + + + + + + + + + + + + + + + + Because prov:qualifiedInfluence is a broad relation, the more specific relations (qualifiedCommunication, qualifiedDelegation, qualifiedEnd, etc.) should be used when applicable. + + qualifiedInfluence + qualified + derivations + qualifiedInfluenceOf + + + + + + + + + + + + + If this Entity prov:wasInvalidatedBy Activity :a, then it can qualify how it was invalidated using prov:qualifiedInvalidation [ a prov:Invalidation; prov:activity :a; :foo :bar ]. + + qualifiedInvalidation + qualified + entities-activities + qualifiedInvalidationOf + + + + + + + + + + + + + If this Entity prov:hadPrimarySource Entity :e, then it can qualify how using prov:qualifiedPrimarySource [ a prov:PrimarySource; prov:entity :e; :foo :bar ]. + + qualifiedPrimarySource + qualified + derivations + qualifiedSourceOf + + + + + + + + + + + + + If this Entity prov:wasQuotedFrom Entity :e, then it can qualify how using prov:qualifiedQuotation [ a prov:Quotation; prov:entity :e; :foo :bar ]. + + qualifiedQuotation + qualified + derivations + qualifiedQuotationOf + + + + + + + + + + + + + If this Entity prov:wasRevisionOf Entity :e, then it can qualify how it was revised using prov:qualifiedRevision [ a prov:Revision; prov:entity :e; :foo :bar ]. + + qualifiedRevision + qualified + derivations + revisedEntity + + + + + + + + + + + + + If this Activity prov:wasStartedBy Entity :e1, then it can qualify how it was started using prov:qualifiedStart [ a prov:Start; prov:entity :e1; :foo :bar ]. + + qualifiedStart + qualified + entities-activities + qualifiedStartOf + + + + + + + + + + + + + If this Activity prov:used Entity :e, then it can qualify how it used it using prov:qualifiedUsage [ a prov:Usage; prov:entity :e; :foo :bar ]. + + qualifiedUsage + qualified + entities-activities + qualifiedUsingActivity + + + + + + + + + + + + + + + + + + + + + + + + + + A prov:Entity that was used by this prov:Activity. For example, :baking prov:used :spoon, :egg, :oven . + + used + starting-point + entities-activities + wasUsedBy + + + + + + + + + + + + + + + + + An prov:Agent that had some (unspecified) responsibility for the occurrence of this prov:Activity. + + wasAssociatedWith + starting-point + agents-responsibility + wasAssociateFor + + + + + + + + + + + + + + + + + Attribution is the ascribing of an entity to an agent. + + wasAttributedTo + starting-point + agents-responsibility + Attribution is the ascribing of an entity to an agent. + contributed + + + + + + + + Attribution is a particular case of trace (see http://www.w3.org/TR/prov-dm/#concept-trace), in the sense that it links an entity to the agent that ascribed it. + IF wasAttributedTo(e2,ag1,aAttr) holds, THEN wasInfluencedBy(e2,ag1) also holds. + + + + + + + + + + + + + + + The more specific subproperties of prov:wasDerivedFrom (i.e., prov:wasQuotedFrom, prov:wasRevisionOf, prov:hadPrimarySource) should be used when applicable. + + wasDerivedFrom + starting-point + derivations + A derivation is a transformation of an entity into another, an update of an entity resulting in a new one, or the construction of a new entity based on a pre-existing entity. + hadDerivation + + + + + + + + Derivation is a particular case of trace (see http://www.w3.org/TR/prov-dm/#term-trace), since it links an entity to another entity that contributed to its existence. + + + + + + + + + + + + + + + End is when an activity is deemed to have ended. An end may refer to an entity, known as trigger, that terminated the activity. + + wasEndedBy + expanded + entities-activities + ended + + + + + + + + + + + + + + + + + + wasGeneratedBy + starting-point + entities-activities + generated + + + + + + + + + + + + Because prov:wasInfluencedBy is a broad relation, its more specific subproperties (e.g. prov:wasInformedBy, prov:actedOnBehalfOf, prov:wasEndedBy, etc.) should be used when applicable. + This property has multiple RDFS domains to suit multiple OWL Profiles. See <a href="#owl-profile">PROV-O OWL Profile</a>. + + wasInfluencedBy + qualified + agents-responsibility + The sub-properties of prov:wasInfluencedBy can be elaborated in more detail using the Qualification Pattern. For example, the binary relation :baking prov:used :spoon can be qualified by asserting :baking prov:qualifiedUsage [ a prov:Usage; prov:entity :spoon; prov:atLocation :kitchen ] . + +Subproperties of prov:wasInfluencedBy may also be asserted directly without being qualified. + +prov:wasInfluencedBy should not be used without also using one of its subproperties. + + influenced + + + + + + + + + + + + + + + + + + + + + + + influencee: an identifier (o2) for an entity, activity, or agent; + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-influence + + + + + + influencer: an identifier (o1) for an ancestor entity, activity, or agent that the former depends on; + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-influence + + + + + + + + + + + + + + + An activity a2 is dependent on or informed by another activity a1, by way of some unspecified entity that is generated by a1 and used by a2. + + wasInformedBy + starting-point + entities-activities + informed + + + + + + + + + + + + + + + + + + wasInvalidatedBy + expanded + entities-activities + invalidated + + + + + + + + + + + + + + + + + An entity is derived from an original entity by copying, or 'quoting', some or all of it. + + wasQuotedFrom + expanded + derivations + quotedAs + + + + + + + + Quotation is a particular case of derivation (see http://www.w3.org/TR/prov-dm/#term-quotation) in which an entity is derived from an original entity by copying, or "quoting", some or all of it. + + + + + + + + + + + + + + + + + + + Revision is a derivation (see http://www.w3.org/TR/prov-dm/#term-Revision). Moreover, according to +http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#term-Revision 23 April 2012 'wasRevisionOf is a strict sub-relation of wasDerivedFrom since two entities e2 and e1 may satisfy wasDerivedFrom(e2,e1) without being a variant of each other.' + + + + + + + + + + + + + + + Start is when an activity is deemed to have started. A start may refer to an entity, known as trigger, that initiated the activity. + + wasStartedBy + expanded + entities-activities + started + + + + + + + + + + + + + + + + + The time at which an InstantaneousEvent occurred, in the form of xsd:dateTime. + + atTime + qualified + entities-activities + + + + + + + + + + + + + + + The time at which an activity ended. See also prov:startedAtTime. + + endedAtTime + starting-point + entities-activities + It is the intent that the property chain holds: (prov:qualifiedEnd o prov:atTime) rdfs:subPropertyOf prov:endedAtTime. + + + + + + + + + + + + The time at which an entity was completely created and is available for use. + + generatedAtTime + expanded + entities-activities + It is the intent that the property chain holds: (prov:qualifiedGeneration o prov:atTime) rdfs:subPropertyOf prov:generatedAtTime. + + + + + + + + + + + + The time at which an entity was invalidated (i.e., no longer usable). + + invalidatedAtTime + expanded + entities-activities + It is the intent that the property chain holds: (prov:qualifiedInvalidation o prov:atTime) rdfs:subPropertyOf prov:invalidatedAtTime. + + + + + + + + + + + + The time at which an activity started. See also prov:endedAtTime. + + startedAtTime + starting-point + entities-activities + It is the intent that the property chain holds: (prov:qualifiedStart o prov:atTime) rdfs:subPropertyOf prov:startedAtTime. + + + + + + + + + + + + value + expanded + entities-activities + Provides a value that is a direct representation of an entity. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-attribute-value + This property serves the same purpose as rdf:value, but has been reintroduced to avoid some of the definitional ambiguity in the RDF specification (specifically, 'may be used in describing structured values'). + The editor's definition comes from http://www.w3.org/TR/rdf-primer/#rdfvalue + + + + + + + + + + + + + + + + + + + + + Activity + starting-point + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + An activity is something that occurs over a period of time and acts upon or with entities; it may include consuming, processing, transforming, modifying, relocating, using, or generating entities. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Activity + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Activity + + + + + + + + + + + + 0 + + + + ActivityInfluence provides additional descriptions of an Activity's binary influence upon any other kind of resource. Instances of ActivityInfluence use the prov:activity property to cite the influencing Activity. + It is not recommended that the type ActivityInfluence be asserted without also asserting one of its more specific subclasses. + + ActivityInfluence + + qualified + ActivitiyInfluence is the capacity of an activity to have an effect on the character, development, or behavior of another by means of generation, invalidation, communication, or other. + + + + + + + + + + Agent + starting-point + agents-responsibility + An agent is something that bears some form of responsibility for an activity taking place, for the existence of an entity, or for another agent's activity. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-agent + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Agent + + + + + + + + + AgentInfluence provides additional descriptions of an Agent's binary influence upon any other kind of resource. Instances of AgentInfluence use the prov:agent property to cite the influencing Agent. + It is not recommended that the type AgentInfluence be asserted without also asserting one of its more specific subclasses. + + AgentInfluence + + qualified + AgentInfluence is the capacity of an agent to have an effect on the character, development, or behavior of another by means of attribution, association, delegation, or other. + + + + + + + + + An instance of prov:Association provides additional descriptions about the binary prov:wasAssociatedWith relation from an prov:Activity to some prov:Agent that had some responsiblity for it. For example, :baking prov:wasAssociatedWith :baker; prov:qualifiedAssociation [ a prov:Association; prov:agent :baker; :foo :bar ]. + + Association + qualified + agents-responsibility + An activity association is an assignment of responsibility to an agent for an activity, indicating that the agent had a role in the activity. It further allows for a plan to be specified, which is the plan intended by the agent to achieve some goals in the context of this activity. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Association + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Association + + + + + + + + + + An instance of prov:Attribution provides additional descriptions about the binary prov:wasAttributedTo relation from an prov:Entity to some prov:Agent that had some responsible for it. For example, :cake prov:wasAttributedTo :baker; prov:qualifiedAttribution [ a prov:Attribution; prov:entity :baker; :foo :bar ]. + + Attribution + qualified + agents-responsibility + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + Attribution is the ascribing of an entity to an agent. + +When an entity e is attributed to agent ag, entity e was generated by some unspecified activity that in turn was associated to agent ag. Thus, this relation is useful when the activity is not known, or irrelevant. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-attribution + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-attribution + + + + + + + + + + Note that there are kinds of bundles (e.g. handwritten letters, audio recordings, etc.) that are not expressed in PROV-O, but can be still be described by PROV-O. + + Bundle + expanded + A bundle is a named set of provenance descriptions, and is itself an Entity, so allowing provenance of provenance to be expressed. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-bundle-entity + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-bundle-declaration + + + + + + + + + + Collection + expanded + collections + A collection is an entity that provides a structure to some constituents, which are themselves entities. These constituents are said to be member of the collections. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-collection + + + + + + + + + An instance of prov:Communication provides additional descriptions about the binary prov:wasInformedBy relation from an informed prov:Activity to the prov:Activity that informed it. For example, :you_jumping_off_bridge prov:wasInformedBy :everyone_else_jumping_off_bridge; prov:qualifiedCommunication [ a prov:Communication; prov:activity :everyone_else_jumping_off_bridge; :foo :bar ]. + + Communication + qualified + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + Communication is the exchange of an entity by two activities, one activity using the entity generated by the other. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Communication + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-wasInformedBy + + + + + + + + + + An instance of prov:Delegation provides additional descriptions about the binary prov:actedOnBehalfOf relation from a performing prov:Agent to some prov:Agent for whom it was performed. For example, :mixing prov:wasAssociatedWith :toddler . :toddler prov:actedOnBehalfOf :mother; prov:qualifiedDelegation [ a prov:Delegation; prov:entity :mother; :foo :bar ]. + + Delegation + qualified + agents-responsibility + Delegation is the assignment of authority and responsibility to an agent (by itself or by another agent) to carry out a specific activity as a delegate or representative, while the agent it acts on behalf of retains some responsibility for the outcome of the delegated work. + +For example, a student acted on behalf of his supervisor, who acted on behalf of the department chair, who acted on behalf of the university; all those agents are responsible in some way for the activity that took place but we do not say explicitly who bears responsibility and to what degree. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-delegation + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-delegation + + + + + + + + + + An instance of prov:Derivation provides additional descriptions about the binary prov:wasDerivedFrom relation from some derived prov:Entity to another prov:Entity from which it was derived. For example, :chewed_bubble_gum prov:wasDerivedFrom :unwrapped_bubble_gum; prov:qualifiedDerivation [ a prov:Derivation; prov:entity :unwrapped_bubble_gum; :foo :bar ]. + The more specific forms of prov:Derivation (i.e., prov:Revision, prov:Quotation, prov:PrimarySource) should be asserted if they apply. + + Derivation + qualified + derivations + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + A derivation is a transformation of an entity into another, an update of an entity resulting in a new one, or the construction of a new entity based on a pre-existing entity. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Derivation + http://www.w3.org/TR/2013/REC-prov-n-20130430/#Derivation-Relation + + + + + + + + + + + + + + + + + + + An instance of prov:End provides additional descriptions about the binary prov:wasEndedBy relation from some ended prov:Activity to an prov:Entity that ended it. For example, :ball_game prov:wasEndedBy :buzzer; prov:qualifiedEnd [ a prov:End; prov:entity :buzzer; :foo :bar; prov:atTime '2012-03-09T08:05:08-05:00'^^xsd:dateTime ]. + + End + qualified + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + End is when an activity is deemed to have been ended by an entity, known as trigger. The activity no longer exists after its end. Any usage, generation, or invalidation involving an activity precedes the activity's end. An end may refer to a trigger entity that terminated the activity, or to an activity, known as ender that generated the trigger. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-End + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-End + + + + + + + + + + + Entity + starting-point + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + An entity is a physical, digital, conceptual, or other kind of thing with some fixed aspects; entities may be real or imaginary. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-entity + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Entity + + + + + + + + + EntityInfluence provides additional descriptions of an Entity's binary influence upon any other kind of resource. Instances of EntityInfluence use the prov:entity property to cite the influencing Entity. + It is not recommended that the type EntityInfluence be asserted without also asserting one of its more specific subclasses. + + EntityInfluence + + qualified + EntityInfluence is the capacity of an entity to have an effect on the character, development, or behavior of another by means of usage, start, end, derivation, or other. + + + + + + + + + + An instance of prov:Generation provides additional descriptions about the binary prov:wasGeneratedBy relation from a generated prov:Entity to the prov:Activity that generated it. For example, :cake prov:wasGeneratedBy :baking; prov:qualifiedGeneration [ a prov:Generation; prov:activity :baking; :foo :bar ]. + + Generation + qualified + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + Generation is the completion of production of a new entity by an activity. This entity did not exist before generation and becomes available for usage after this generation. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Generation + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Generation + + + + + + + + + An instance of prov:Influence provides additional descriptions about the binary prov:wasInfluencedBy relation from some influenced Activity, Entity, or Agent to the influencing Activity, Entity, or Agent. For example, :stomach_ache prov:wasInfluencedBy :spoon; prov:qualifiedInfluence [ a prov:Influence; prov:entity :spoon; :foo :bar ] . Because prov:Influence is a broad relation, the more specific relations (Communication, Delegation, End, etc.) should be used when applicable. + Because prov:Influence is a broad relation, its most specific subclasses (e.g. prov:Communication, prov:Delegation, prov:End, prov:Revision, etc.) should be used when applicable. + + Influence + qualified + derivations + Influence is the capacity of an entity, activity, or agent to have an effect on the character, development, or behavior of another by means of usage, start, end, generation, invalidation, communication, derivation, attribution, association, or delegation. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-influence + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-influence + + + + + + + + + An instantaneous event, or event for short, happens in the world and marks a change in the world, in its activities and in its entities. The term 'event' is commonly used in process algebra with a similar meaning. Events represent communications or interactions; they are assumed to be atomic and instantaneous. + + InstantaneousEvent + qualified + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#dfn-event + The PROV data model is implicitly based on a notion of instantaneous events (or just events), that mark transitions in the world. Events include generation, usage, or invalidation of entities, as well as starting or ending of activities. This notion of event is not first-class in the data model, but it is useful for explaining its other concepts and its semantics. + + + + + + + + + + An instance of prov:Invalidation provides additional descriptions about the binary prov:wasInvalidatedBy relation from an invalidated prov:Entity to the prov:Activity that invalidated it. For example, :uncracked_egg prov:wasInvalidatedBy :baking; prov:qualifiedInvalidation [ a prov:Invalidation; prov:activity :baking; :foo :bar ]. + + Invalidation + qualified + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + Invalidation is the start of the destruction, cessation, or expiry of an existing entity by an activity. The entity is no longer available for use (or further invalidation) after invalidation. Any generation or usage of an entity precedes its invalidation. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Invalidation + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Invalidation + + + + + + + + + + Location + + expanded + A location can be an identifiable geographic place (ISO 19112), but it can also be a non-geographic place such as a directory, row, or column. As such, there are numerous ways in which location can be expressed, such as by a coordinate, address, landmark, and so forth. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-attribute-location + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-attribute + + + + + + + + + + Organization + expanded + agents-responsibility + An organization is a social or legal institution such as a company, society, etc. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-agent + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-types + + + + + + + + + + Person + expanded + agents-responsibility + Person agents are people. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-agent + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-types + + + + + + + + + There exist no prescriptive requirement on the nature of plans, their representation, the actions or steps they consist of, or their intended goals. Since plans may evolve over time, it may become necessary to track their provenance, so plans themselves are entities. Representing the plan explicitly in the provenance can be useful for various tasks: for example, to validate the execution as represented in the provenance record, to manage expectation failures, or to provide explanations. + + Plan + expanded + qualified + agents-responsibility + A plan is an entity that represents a set of actions or steps intended by one or more agents to achieve some goals. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Association + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Association + + + + + + + + + An instance of prov:PrimarySource provides additional descriptions about the binary prov:hadPrimarySource relation from some secondary prov:Entity to an earlier, primary prov:Entity. For example, :blog prov:hadPrimarySource :newsArticle; prov:qualifiedPrimarySource [ a prov:PrimarySource; prov:entity :newsArticle; :foo :bar ] . + + PrimarySource + qualified + derivations + A primary source for a topic refers to something produced by some agent with direct experience and knowledge about the topic, at the time of the topic's study, without benefit from hindsight. + +Because of the directness of primary sources, they 'speak for themselves' in ways that cannot be captured through the filter of secondary sources. As such, it is important for secondary sources to reference those primary sources from which they were derived, so that their reliability can be investigated. + +A primary source relation is a particular case of derivation of secondary materials from their primary sources. It is recognized that the determination of primary sources can be up to interpretation, and should be done according to conventions accepted within the application's domain. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-primary-source + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-original-source + + + + + + + + + + An instance of prov:Quotation provides additional descriptions about the binary prov:wasQuotedFrom relation from some taken prov:Entity from an earlier, larger prov:Entity. For example, :here_is_looking_at_you_kid prov:wasQuotedFrom :casablanca_script; prov:qualifiedQuotation [ a prov:Quotation; prov:entity :casablanca_script; :foo :bar ]. + + Quotation + qualified + derivations + A quotation is the repeat of (some or all of) an entity, such as text or image, by someone who may or may not be its original author. Quotation is a particular case of derivation. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-quotation + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-quotation + + + + + + + + + + An instance of prov:Revision provides additional descriptions about the binary prov:wasRevisionOf relation from some newer prov:Entity to an earlier prov:Entity. For example, :draft_2 prov:wasRevisionOf :draft_1; prov:qualifiedRevision [ a prov:Revision; prov:entity :draft_1; :foo :bar ]. + + Revision + qualified + derivations + A revision is a derivation for which the resulting entity is a revised version of some original. The implication here is that the resulting entity contains substantial content from the original. Revision is a particular case of derivation. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-revision + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Revision + + + + + + + + + + Role + + qualified + agents-responsibility + A role is the function of an entity or agent with respect to an activity, in the context of a usage, generation, invalidation, association, start, and end. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-attribute-role + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-attribute + + + + + + + + + + SoftwareAgent + expanded + agents-responsibility + A software agent is running software. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-agent + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-types + + + + + + + + + + An instance of prov:Start provides additional descriptions about the binary prov:wasStartedBy relation from some started prov:Activity to an prov:Entity that started it. For example, :foot_race prov:wasStartedBy :bang; prov:qualifiedStart [ a prov:Start; prov:entity :bang; :foo :bar; prov:atTime '2012-03-09T08:05:08-05:00'^^xsd:dateTime ] . + + Start + qualified + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + Start is when an activity is deemed to have been started by an entity, known as trigger. The activity did not exist before its start. Any usage, generation, or invalidation involving an activity follows the activity's start. A start may refer to a trigger entity that set off the activity, or to an activity, known as starter, that generated the trigger. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Start + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Start + + + + + + + + + + + An instance of prov:Usage provides additional descriptions about the binary prov:used relation from some prov:Activity to an prov:Entity that it used. For example, :keynote prov:used :podium; prov:qualifiedUsage [ a prov:Usage; prov:entity :podium; :foo :bar ]. + + Usage + qualified + entities-activities + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + Usage is the beginning of utilizing an entity by an activity. Before usage, the activity had not begun to utilize this entity and could not have been affected by the entity. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-Usage + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-Usage + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + EmptyCollection + expanded + collections + An empty collection is a collection without members. + + + + specializationOf + + expanded + alternate + http://www.w3.org/TR/2013/REC-prov-constraints-20130430/#prov-dm-constraints-fig + An entity that is a specialization of another shares all aspects of the latter, and additionally presents more specific aspects of the same thing as the latter. In particular, the lifetime of the entity being specialized contains that of any specialization. Examples of aspects include a time period, an abstraction, and a context associated with the entity. + http://www.w3.org/TR/2013/REC-prov-dm-20130430/#term-specialization + generalizationOf + http://www.w3.org/TR/2013/REC-prov-n-20130430/#expression-specialization + + + A revision is a derivation that revises an entity into a revised version. + + wasRevisionOf + expanded + derivations + hadRevision + + + + + + + + + From 8a9e135f38279abf79bb15c246c9c109ad91a096 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Wed, 22 Nov 2023 19:39:14 +0100 Subject: [PATCH 19/49] add onto network and update query --- pyscal_rdf/graph.py | 40 +++++----------------------------- pyscal_rdf/network/ontology.py | 17 +++++++++++++++ 2 files changed, 23 insertions(+), 34 deletions(-) create mode 100644 pyscal_rdf/network/ontology.py diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index c8e1f9e..e690173 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -16,6 +16,7 @@ from pyscal_rdf.visualize import visualize_graph from pyscal_rdf.network.network import OntologyNetwork +from pyscal_rdf.network.ontology import read_ontology from pyscal_rdf.rdfsystem import System import pyscal_rdf.properties as prp #from pyscal3.core import System @@ -25,7 +26,6 @@ PLDO = Namespace("http://purls.helmholtz-metadaten.de/pldo/") PODO = Namespace("http://purls.helmholtz-metadaten.de/podo/") -structures = os.path.join(os.path.dirname(__file__), "data/cmso.owl") with open(structures, 'r') as fin: for line in fin: a=line @@ -104,7 +104,7 @@ def __init__(self, graph_file=None, self.material = None self.sysdict = None self.sgraph = None - #self._query_graph = OntologyNetwork() + self.ontology = read_ontology() self._atom_ids = None @@ -901,41 +901,13 @@ def query(self, inquery): return pd.DataFrame(res, columns=labels) raise ValueError("SPARQL query returned None") + def auto_query(self, source, destination, condition): + query = self.ontology.create_query(source, destination, condition) + return self.query(query) def query_sample(self, target_property, value, return_query=False): - """ - Query the Graph for a sample that has the given `value` for the given `target_property` - - Parameters - ---------- - target_property: string - The target property can be any Ontology data property - - value: number, string, or list of either - The value of the target property to be queried - - return_query: bool, optional - If True, return the SPARQL query - - Returns - ------- - res: list - list of queried samples - - query: string - only returned if `return_query` is True - - Notes - ----- - """ - - query = self._query_graph.formulate_query(target_property, value) - res = self.graph.query(query) - res = [r for r in res] - if return_query: - return res, query - return res + raise NotImplementedError() ################################# # Methods to interact with sample diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py new file mode 100644 index 0000000..03a14a3 --- /dev/null +++ b/pyscal_rdf/network/ontology.py @@ -0,0 +1,17 @@ +from pyscal_rdf.network.network import OntologyNetwork +import os + +#prov = OntologyNetwork('pyscal_rdf/data/prov.rdf', delimiter='#') +def read_ontology(): + cmso = OntologyNetwork(os.path.join(os.path.dirname(__file__), "data/cmso.owl")) + pldo = OntologyNetwork(os.path.join(os.path.dirname(__file__), "data/pldo.owl")) + podo = OntologyNetwork(os.path.join(os.path.dirname(__file__), "data/podo.owl")) + + combo = cmso + pldo + podo + + combo.add_path(('cmso:Material', 'cmso:hasDefect', 'pldo:PlanarDefect')) + combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy')) + combo.add_path(('cmso:SimulationCell', 'podo:hasVacancyConcentration', 'float')) + combo.add_path(('cmso:SimulationCell', 'podo:hasNumberOfVacancies', 'int')) + combo.add_path(('cmso:SimulationCell', 'prov:wasDerivedFrom', 'cmso:SimulationCell')) + return combo \ No newline at end of file From da50c42f097826416982344d395b14f83782ddd8 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Thu, 23 Nov 2023 13:44:11 +0100 Subject: [PATCH 20/49] add new test notebooks --- notebooks/create_onto.ipynb | 120 +++++++++++++ notebooks/ontology_path.ipynb | 143 +++++++++++++++ notebooks/prototype_test.ipynb | 317 +++++++++++++++++++++++++++++++++ notebooks/test_network.ipynb | 71 ++++++++ pyscal_rdf/data/msmo.owl | 56 ++++++ 5 files changed, 707 insertions(+) create mode 100644 notebooks/create_onto.ipynb create mode 100644 notebooks/ontology_path.ipynb create mode 100644 notebooks/prototype_test.ipynb create mode 100644 notebooks/test_network.ipynb create mode 100644 pyscal_rdf/data/msmo.owl diff --git a/notebooks/create_onto.ipynb b/notebooks/create_onto.ipynb new file mode 100644 index 0000000..dfab300 --- /dev/null +++ b/notebooks/create_onto.ipynb @@ -0,0 +1,120 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 9, + "id": "0480f3cb-a9df-4dff-89b6-95747572fb39", + "metadata": {}, + "outputs": [], + "source": [ + "from owlready2 import *" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cdab09a3-b991-4c6f-ab11-3d630293e2a9", + "metadata": {}, + "outputs": [], + "source": [ + "onto = get_ontology(\"http://purls.helmholtz-metadaten.de/msmo/\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "8f470001-3a9c-4cd0-817f-57fa06a10da0", + "metadata": {}, + "outputs": [], + "source": [ + "class Calculation(Thing):\n", + " namespace = onto\n", + "\n", + "class hasMethod(Calculation >> ComputationalMethod):\n", + " pass\n", + " \n", + "class ComputationalMethod(Thing):\n", + " namespace = onto\n", + "\n", + "#Atomistic Method\n", + "class AtomisticMethod(ComputationalMethod):\n", + " pass\n", + "\n", + "class DensityFunctionalTheory(AtomisticMethod):\n", + " pass\n", + "\n", + "class MolecularDynamics(AtomisticMethod):\n", + " pass\n", + "\n", + "class MolecularDynamicsMinimization(MolecularDynamics):\n", + " pass\n", + "\n", + "class MolecularDynamicsNPT(MolecularDynamics):\n", + " pass\n", + "\n", + "class MolecularDynamicsNVT(MolecularDynamics):\n", + " pass\n", + "\n", + "#data properties\n", + "class hasPressure(MolecularDynamics >> float):\n", + " pass\n", + "\n", + "class hasTemperature(MolecularDynamics >> float):\n", + " pass\n", + "\n", + "class usesPotential(MolecularDynamics >> str):\n", + " pass\n", + "\n", + "class AbinitioMolecularDynamics(AtomisticMethod):\n", + " pass\n", + "\n", + "\n", + "#Monte Carlo\n", + "class MonteCarloMethod(ComputationalMethod):\n", + " pass\n", + "\n", + "class KineticMonteCarloMethod(MonteCarloMethod):\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "677852fc-e05a-4922-a808-47761f25ffcb", + "metadata": {}, + "outputs": [], + "source": [ + "onto.save(file = \"msmo.owl\", format = \"rdfxml\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "22b6e284-2b54-4851-a379-1a8df26f4705", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/ontology_path.ipynb b/notebooks/ontology_path.ipynb new file mode 100644 index 0000000..1ef04b2 --- /dev/null +++ b/notebooks/ontology_path.ipynb @@ -0,0 +1,143 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9319ee4b-1fdd-4658-bbd3-7f2f0028782d", + "metadata": {}, + "outputs": [], + "source": [ + "from pyscal_rdf.network.network import OntologyNetwork" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "accb9d35-f1d2-4fa1-a937-17ab30cfe62d", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "* Owlready2 * WARNING: ObjectProperty http://www.w3.org/ns/prov#specializationOf belongs to more than one entity types: [owl.AnnotationProperty, owl.ObjectProperty, prov.alternateOf]; I'm trying to fix it...\n", + "* Owlready2 * WARNING: ObjectProperty http://www.w3.org/ns/prov#wasRevisionOf belongs to more than one entity types: [owl.AnnotationProperty, owl.ObjectProperty, prov.wasDerivedFrom]; I'm trying to fix it...\n" + ] + } + ], + "source": [ + "prov = OntologyNetwork('pyscal_rdf/data/prov.rdf', delimiter='#')\n", + "cmso = OntologyNetwork('pyscal_rdf/data/cmso.owl')\n", + "pldo = OntologyNetwork('pyscal_rdf/data/pldo.owl')\n", + "podo = OntologyNetwork('pyscal_rdf/data/podo.owl')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e096bccb-dd53-4700-b2df-a4847128c1c1", + "metadata": {}, + "outputs": [], + "source": [ + "combo = cmso + pldo + podo + prov" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ae541ef0-08f7-416e-a593-db950b99197c", + "metadata": {}, + "outputs": [], + "source": [ + "combo.add_path(('cmso:Material', 'cmso:hasDefect', 'pldo:PlanarDefect'))\n", + "combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy'))\n", + "combo.add_path(('cmso:SimulationCell', 'podo:hasVacancyConcentration', 'float'))\n", + "combo.add_path(('cmso:SimulationCell', 'podo:hasNumberOfVacancies', 'int'))\n", + "combo.add_path(('cmso:SimulationCell', 'prov:wasDerivedFrom', 'cmso:SimulationCell'))" + ] + }, + { + "cell_type": "markdown", + "id": "74b3e951-a7dd-4a1e-9618-e2a86247dee3", + "metadata": {}, + "source": [ + "Test a query" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "288f0e22-b16e-4bae-8c63-f01a3ed28e6f", + "metadata": {}, + "outputs": [], + "source": [ + "condition = (combo.terms.pldo.hasSigmaValue > 5)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6a34f8d9-d120-4560-b556-ca7836ac9151", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PREFIX cmso: \n", + "PREFIX qudt: \n", + "PREFIX pldo: \n", + "PREFIX podo: \n", + "PREFIX prov: \n", + "PREFIX owl: \n", + "PREFIX rdf: \n", + "SELECT DISTINCT ?hasSigmaValuevalue\n", + "WHERE {\n", + " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", + " ?AmorphousMaterial cmso:hasDefect ?AntiphaseBoundary .\n", + " ?AntiphaseBoundary pldo:hasSigmaValue ?hasSigmaValuevalue .\n", + "FILTER \n", + "}\n" + ] + } + ], + "source": [ + "s = combo.create_query(combo.terms.cmso.ComputationalSample, \n", + " [combo.terms.pldo.hasSigmaValue])\n", + "print(s)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "337a7b2d-27e4-489f-9412-68efff19a337", + "metadata": {}, + "outputs": [], + "source": [ + "q = cmso.create_query('cmso:ComputationalSample', ['pldo:hasSigmaValuevalue', 'cmso:hasAngle_alphavalue'], values = ['val > 5 and val < 10'])\n", + "print(q)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/prototype_test.ipynb b/notebooks/prototype_test.ipynb new file mode 100644 index 0000000..755969a --- /dev/null +++ b/notebooks/prototype_test.ipynb @@ -0,0 +1,317 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "8c13e4ac-1e56-4bb0-bfa1-2007e83c3da6", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pyscal_rdf.encoder import NumpyArrayEncoder\n", + "import json\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9e125454-0356-496a-ada3-dfe6c9389a18", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "arr = np.linspace(0, 10, 100)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c9f9ba21-a7de-4a25-af60-7cfbe2b609ad", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "data = {\"array\": arr}" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3a48f126-26e0-4603-9654-1dba32fcbcb2", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "dumpdata = json.dumps(data, cls=NumpyArrayEncoder)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "6b935c5d-090e-40be-a0a3-cfa8a8d9bd6a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(9.8989898989899, 9.8989898989899)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "float(dumpdata.split(',')[-2]), arr[-2]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "5beea807-12a0-4bd9-ba1b-ae3df5acfa1c", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pyscal.core import System\n", + "from pyscal_rdf.rdfutils import convert_to_dict\n", + "import pyscal_rdf.properties as prp" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "33accd2d-4383-4b81-a54c-e24a6dd8c2eb", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fe\n" + ] + } + ], + "source": [ + "sys = System.from_structure(\"bcc\", repetitions=[1,1,1], element=\"Fe\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "820cf5e5-8eef-4404-8f44-54b1a4e80c25", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "info = convert_to_dict(sys)" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "79aba5b1-6f00-4d91-8247-5be9834e0eb5", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pyscal_rdf import StructureGraph\n", + "from pyscal_rdf.queries import Query" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "6d7fbe7e-d110-4484-a69b-527468dc3173", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "s = StructureGraph()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "7306af6b-57d6-46ab-bb24-0529b37bfd0a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fe\n" + ] + } + ], + "source": [ + "sys = s.create_element(\"Fe\")" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "4b24978c-688b-4c64-baf7-825bc6e11763", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "q = Query()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "4c7ef429-c59b-4618-b0f7-2f55035f33ce", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[rdflib.term.BNode('N13cbfd6db6f84a0ca751446d94857ce7')]" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q.sparql.sample_by_latticesystem(s, \"bcc\")" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "eb283bfe-a331-47f2-bf19-c2d4f253764e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "struct_gb_1 = s.create_grain_boundary(axis=[0,0,1], \n", + " sigma=5, \n", + " gb_plane=[3, -1, 0],\n", + " element='Fe')" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "cd08d556-7935-4678-96a2-314bcadb1af5", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[rdflib.term.BNode('Na1ff19039e73408d99c4b0c91b5f6982')]" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q.sparql.sample_by_defect(s, \"symmetric tilt\")" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "b219b39e-151f-4a55-9524-df48ffc096fe", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[rdflib.term.BNode('Na1ff19039e73408d99c4b0c91b5f6982')]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q.sparql.sample_by_sigma(s, 5)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "aef6ea4c-cd3a-4935-89ab-8b5bb8c6fcbf", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[rdflib.term.BNode('N13cbfd6db6f84a0ca751446d94857ce7'),\n", + " rdflib.term.BNode('Na1ff19039e73408d99c4b0c91b5f6982')]" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "q.python.sample_by_altname(s, \"bcc\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6d2ef6b4-910e-427e-a8f5-625e0983334f", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/test_network.ipynb b/notebooks/test_network.ipynb new file mode 100644 index 0000000..2e78091 --- /dev/null +++ b/notebooks/test_network.ipynb @@ -0,0 +1,71 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "e003af21-cd3e-4b30-975c-ca0847c7ca68", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pyscal_rdf.network import OntologyNetwork" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c193fbf5-622c-4544-969e-9d3f000f82d6", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "file /home/menon/miniconda3/envs/rdf-wf-4/lib/python3.10/site-packages/pyscal_rdf/data/cmso.owl not found!", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m on \u001b[38;5;241m=\u001b[39m \u001b[43mOntologyNetwork\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-4/lib/python3.10/site-packages/pyscal_rdf/network.py:22\u001b[0m, in \u001b[0;36mOntologyNetwork.__init__\u001b[0;34m(self, infile)\u001b[0m\n\u001b[1;32m 19\u001b[0m infile \u001b[38;5;241m=\u001b[39m owlfile\n\u001b[1;32m 21\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg \u001b[38;5;241m=\u001b[39m nx\u001b[38;5;241m.\u001b[39mDiGraph()\n\u001b[0;32m---> 22\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto \u001b[38;5;241m=\u001b[39m \u001b[43mOntoParser\u001b[49m\u001b[43m(\u001b[49m\u001b[43minfile\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 23\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata_prefix \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvalue\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 25\u001b[0m \u001b[38;5;66;03m#call methods\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-4/lib/python3.10/site-packages/pyscal_rdf/parser.py:14\u001b[0m, in \u001b[0;36mOntoParser.__init__\u001b[0;34m(self, infile, delimiter)\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtree \u001b[38;5;241m=\u001b[39m get_ontology(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile://\u001b[39m\u001b[38;5;132;01m{\u001b[39;00minfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mload()\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 14\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mFileNotFoundError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile \u001b[39m\u001b[38;5;132;01m{\u001b[39;00minfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found!\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 15\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattributes \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattributes[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mclass\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m {}\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: file /home/menon/miniconda3/envs/rdf-wf-4/lib/python3.10/site-packages/pyscal_rdf/data/cmso.owl not found!" + ] + } + ], + "source": [ + "on = OntologyNetwork()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "21d603ea-6249-41fd-9e68-800593b19449", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyscal_rdf/data/msmo.owl b/pyscal_rdf/data/msmo.owl new file mode 100644 index 0000000..ec9843f --- /dev/null +++ b/pyscal_rdf/data/msmo.owl @@ -0,0 +1,56 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + From f73d042acfbe09a346e3322ed2bc1e69ab22e302 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Mon, 27 Nov 2023 16:16:41 +0100 Subject: [PATCH 21/49] clean up notebooks --- notebooks/data_read.ipynb | 142 ++ notebooks/data_set.ipynb | 161 ++ notebooks/funowl.ipynb | 70 + io_poscar.ipynb => notebooks/io_poscar.ipynb | 0 notebooks/mem_usage.png | Bin 0 -> 156523 bytes notebooks/memscript.py | 9 + notebooks/p3_testing.ipynb | 1470 ++++++++++++++++++ 7 files changed, 1852 insertions(+) create mode 100644 notebooks/data_read.ipynb create mode 100644 notebooks/data_set.ipynb create mode 100644 notebooks/funowl.ipynb rename io_poscar.ipynb => notebooks/io_poscar.ipynb (100%) create mode 100644 notebooks/mem_usage.png create mode 100644 notebooks/memscript.py create mode 100644 notebooks/p3_testing.ipynb diff --git a/notebooks/data_read.ipynb b/notebooks/data_read.ipynb new file mode 100644 index 0000000..9b5bd67 --- /dev/null +++ b/notebooks/data_read.ipynb @@ -0,0 +1,142 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "bec4e0e1-2e16-4241-89e0-a7bbf8a53d8c", + "metadata": {}, + "source": [ + "# DC3 dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "df95f07a-00a8-42f9-9a18-ba8532a5a512", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pyscal3.core import System\n", + "import pyscal3.crystal_structures as pcs" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "00abae5c-4123-4456-8144-cf6362ea2bfd", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "sys = System('datasets/T_0.04Tm_snapshot_1')" + ] + }, + { + "cell_type": "markdown", + "id": "2be601e0-9ea5-4c63-9cd6-67e99fa95306", + "metadata": {}, + "source": [ + "Lacks all information about the underlying structure:\n", + "\n", + "- species (LAMMPS)\n", + "- lattice constant \n", + "- Crystal structure name\n", + "- Bravais lattice\n", + "- Basis positions\n", + "- Basis occupancy\n", + "- Lattice vectors\n", + "- Space group symbol (?)\n", + "- Space group name (?)" + ] + }, + { + "cell_type": "markdown", + "id": "5ba58cff-3b6b-44b9-ad5b-92e14e61d517", + "metadata": {}, + "source": [ + "How we do currently" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "dd472cdf-ef2c-4ad4-9852-39370c715f5a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Al\n" + ] + } + ], + "source": [ + "atoms, box, sdict = pcs.make_crystal('fcc', lattice_constant=1,\n", + " element='Al', return_structure_dict=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "aed4d624-b25a-48b3-8bbe-6140acc5e711", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'natoms': 4,\n", + " 'species': [1, 1, 1, 1],\n", + " 'scaling_factors': [1.0, 1.0, 1.0],\n", + " 'positions': [[0.0, 0.0, 0.0],\n", + " [0.5, 0.0, 0.5],\n", + " [0.0, 0.5, 0.5],\n", + " [0.5, 0.5, 0.0]]}" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sdict" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "712b32c7-1d6b-4fbb-ae65-64dbebc5a3b2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/data_set.ipynb b/notebooks/data_set.ipynb new file mode 100644 index 0000000..a63521c --- /dev/null +++ b/notebooks/data_set.ipynb @@ -0,0 +1,161 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 55, + "id": "9a603df5-b7c8-49a7-8745-4055f8b2b31b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from pyscal_rdf import StructureGraph\n", + "from pyscal3.core import System\n", + "from pyscal_rdf.network.network import OntologyNetwork\n", + "from rdflib import Graph, Literal, Namespace\n", + "import copy\n", + "import json\n", + "from deepmerge import always_merger" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b020cf69-527c-4e96-8f24-d1dbb3a91267", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "o = OntologyNetwork()" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "3b3d2dff-9f05-4722-9497-e7e4dbca5343", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'cmso:hasAltName': cmso:hasAltName, 'cmso:hasName': cmso:hasName, 'cmso:hasAngle_alpha': cmso:hasAngle_alpha, 'cmso:hasAngle_beta': cmso:hasAngle_beta, 'cmso:hasAngle_gamma': cmso:hasAngle_gamma, 'cmso:hasChemicalSymbol': cmso:hasChemicalSymbol, 'cmso:hasSymbol': cmso:hasSymbol, 'cmso:hasComponent_x': cmso:hasComponent_x, 'cmso:hasComponent_y': cmso:hasComponent_y, 'cmso:hasComponent_z': cmso:hasComponent_z, 'cmso:hasCoordinationNumber': cmso:hasCoordinationNumber, 'cmso:hasElementRatio': cmso:hasElementRatio, 'cmso:hasLatticeSystem': cmso:hasLatticeSystem, 'cmso:hasLength_x': cmso:hasLength_x, 'cmso:hasLength_y': cmso:hasLength_y, 'cmso:hasLength_z': cmso:hasLength_z, 'cmso:hasNumberOfAtoms': cmso:hasNumberOfAtoms, 'cmso:hasRepetition_x': cmso:hasRepetition_x, 'cmso:hasRepetition_y': cmso:hasRepetition_y, 'cmso:hasRepetition_z': cmso:hasRepetition_z, 'cmso:hasSpaceGroupNumber': cmso:hasSpaceGroupNumber, 'cmso:hasSpaceGroupSymbol': cmso:hasSpaceGroupSymbol, 'cmso:hasVolume': cmso:hasVolume}" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "o.attributes['data_property']" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "477862f5-5b1c-4e8a-b877-ac2fb86ec6a3", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "def dict_merge(dct, merge_dct):\n", + " for k, v in merge_dct.items():\n", + " if (k in dct and isinstance(dct[k], dict) and isinstance(merge_dct[k], dict)): #noqa\n", + " dict_merge(dct[k], merge_dct[k])\n", + " else:\n", + " dct[k] = merge_dct[k]\n", + " \n", + "def create_dict(datadict, path):\n", + " for p in path:\n", + " datadict[str(p[0])] ={}\n", + " datadict = datadict[str(p[0])]\n", + " #exists\n", + " datadict[str(p[0])] = {str(p[-1]): None}\n", + " \n", + "collected_dicts = []\n", + "\n", + "for key in o.attributes['data_node']:\n", + " try:\n", + " path = o.get_path_from_sample(key)\n", + " datadict = {}\n", + " create_dict(datadict, path)\n", + " collected_dicts.append(copy.deepcopy(datadict))\n", + " except:\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "465233b0-fbe3-4483-bbe4-074a6863bf47", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "org_dict = collected_dicts[0]\n", + "for dd in collected_dicts[1:]:\n", + " always_merger.merge(org_dict, dd)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "be9abaae-15f6-4259-8858-00ac559fdb1c", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "with open('a.json', 'w') as fout:\n", + " json.dump(org_dict, fout)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "ba801924-bc8d-482a-90aa-1978a11189dd", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "with open('a.yaml', 'w') as fout:\n", + " yaml.safe_dump(org_dict, fout)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3ad6b74c-adf5-47c9-a6e5-4c193640abf4", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/funowl.ipynb b/notebooks/funowl.ipynb new file mode 100644 index 0000000..775d3db --- /dev/null +++ b/notebooks/funowl.ipynb @@ -0,0 +1,70 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 15, + "id": "209bed88-6265-46bf-858c-f172024aa4db", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "from rdflib import Graph\n", + "from funowl.converters.functional_converter import to_python\n", + "\n", + "# The functional syntax input can be a string, URL, file loc or open file\n", + "onto = to_python(\"pyscal_rdf/data/cmso.owl\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "6f78142c-ce92-41c6-b267-85c169eabdd9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "OntologyDocument(prefixDeclarations=, ontology=Ontology(iri=None, version=None, directlyImportsDocuments=[], axioms=[], annotations=[]))" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "onto" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f8b21676-2bcf-48a0-a8d3-99d80f3f13d9", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/io_poscar.ipynb b/notebooks/io_poscar.ipynb similarity index 100% rename from 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wv0HnCdbwrg5U%{6|9!W*GXGz%#J#0m&u?V^L8B+eBkQ4YR_o8)(^qf(A4{STeE 79\u001b[0m prpath \u001b[38;5;241m=\u001b[39m \u001b[43mstore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\n\u001b[1;32m 80\u001b[0m dbfile \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(prpath, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mproject.db\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mAttributeError\u001b[0m: 'str' object has no attribute 'path'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m g \u001b[38;5;241m=\u001b[39m \u001b[43mStructureGraph\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mOxigraph\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2\u001b[0m h \u001b[38;5;241m=\u001b[39m StructureGraph(store\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOxigraph\u001b[39m\u001b[38;5;124m\"\u001b[39m, store_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexample.db\u001b[39m\u001b[38;5;124m\"\u001b[39m, identifier\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[0;32m/mnt/c/Users/menon/Documents/winrepos/projects-iuc17/pyscal_rdf/pyscal_rdf/structure.py:103\u001b[0m, in \u001b[0;36mStructureGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, graph_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 99\u001b[0m store\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMemory\u001b[39m\u001b[38;5;124m\"\u001b[39m, \n\u001b[1;32m 100\u001b[0m store_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 101\u001b[0m identifier\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttp://default_graph\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgraph_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgraph_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midentifier\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43midentifier\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_element_dict \u001b[38;5;241m=\u001b[39m element_dict\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_structure_dict \u001b[38;5;241m=\u001b[39m structure_dict\n", + "File \u001b[0;32m/mnt/c/Users/menon/Documents/winrepos/projects-iuc17/pyscal_rdf/pyscal_rdf/graph.py:86\u001b[0m, in \u001b[0;36mRDFGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 84\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgraph\u001b[38;5;241m.\u001b[39mopen(uri, create\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 85\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[0;32m---> 86\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstore should be pyiron_project, SQLAlchemy, or Memory\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 88\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 89\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstore should be pyiron_project, SQLAlchemy, or Memory\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mValueError\u001b[0m: store should be pyiron_project, SQLAlchemy, or Memory" + ] + } + ], + "source": [ + "g = StructureGraph(store=\"Oxigraph\", )\n", + "h = StructureGraph(store=\"Oxigraph\", store_file=\"example.db\", identifier=\"a\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cc8bd6c7-456e-442b-bd79-ffe41ad13da0", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "del h" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ded91333-74f8-4b43-ac23-4a0e3d19dd36", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "ename": "OSError", + "evalue": "IO error: lock hold by current process, acquire time 1699448529 acquiring thread 140595065128768: example.db/LOCK: No locks available", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[15], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m k \u001b[38;5;241m=\u001b[39m \u001b[43mStructureGraph\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mOxigraph\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mexample.db\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midentifier\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mb\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/mnt/c/Users/menon/Documents/winrepos/projects-iuc17/pyscal_rdf/pyscal_rdf/structure.py:103\u001b[0m, in \u001b[0;36mStructureGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, graph_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 99\u001b[0m store\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMemory\u001b[39m\u001b[38;5;124m\"\u001b[39m, \n\u001b[1;32m 100\u001b[0m store_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 101\u001b[0m identifier\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttp://default_graph\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgraph_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgraph_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midentifier\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43midentifier\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_element_dict \u001b[38;5;241m=\u001b[39m element_dict\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_structure_dict \u001b[38;5;241m=\u001b[39m structure_dict\n", + "File \u001b[0;32m/mnt/c/Users/menon/Documents/winrepos/projects-iuc17/pyscal_rdf/pyscal_rdf/graph.py:67\u001b[0m, in \u001b[0;36mRDFGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 65\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgraph \u001b[38;5;241m=\u001b[39m Graph(store\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOxigraph\u001b[39m\u001b[38;5;124m\"\u001b[39m, identifier\u001b[38;5;241m=\u001b[39midentifier)\n\u001b[1;32m 66\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m store_file \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 67\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgraph\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstore_file\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m inspect\u001b[38;5;241m.\u001b[39misclass(\u001b[38;5;28mtype\u001b[39m(store)):\n\u001b[1;32m 70\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-4/lib/python3.10/site-packages/rdflib/graph.py:519\u001b[0m, in \u001b[0;36mGraph.open\u001b[0;34m(self, configuration, create)\u001b[0m\n\u001b[1;32m 513\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopen\u001b[39m(\u001b[38;5;28mself\u001b[39m, configuration: \u001b[38;5;28mstr\u001b[39m, create: \u001b[38;5;28mbool\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Optional[\u001b[38;5;28mint\u001b[39m]:\n\u001b[1;32m 514\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Open the graph store\u001b[39;00m\n\u001b[1;32m 515\u001b[0m \n\u001b[1;32m 516\u001b[0m \u001b[38;5;124;03m Might be necessary for stores that require opening a connection to a\u001b[39;00m\n\u001b[1;32m 517\u001b[0m \u001b[38;5;124;03m database or acquiring some resource.\u001b[39;00m\n\u001b[1;32m 518\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 519\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__store\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconfiguration\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcreate\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-4/lib/python3.10/site-packages/oxrdflib/__init__.py:40\u001b[0m, in \u001b[0;36mOxigraphStore.open\u001b[0;34m(self, configuration, create)\u001b[0m\n\u001b[1;32m 38\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_store \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 39\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe open function should be called before any RDF operation\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 40\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_store \u001b[38;5;241m=\u001b[39m \u001b[43mox\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mStore\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconfiguration\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 41\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m VALID_STORE\n", + "\u001b[0;31mOSError\u001b[0m: IO error: lock hold by current process, acquire time 1699448529 acquiring thread 140595065128768: example.db/LOCK: No locks available" + ] + } + ], + "source": [ + "k = StructureGraph(store=\"Oxigraph\", store_file=\"example.db\", identifier=\"b\")" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0ae34a13-8aed-43f7-b25c-8d0069859f45", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "sys = g.create.element.Ag()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e1f8ee87-5d5e-494b-88e9-ef0c3dd043b7", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { 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"\n", + "cmso.hasComponent_x\n", + "\n", + "\n", + "\n", + "SimulationCell_1Length->cmso.SimulationCellLength\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "32758f25-16f4-462e-9e1e-6e841455d445\n", + "\n", + "4.09\n", + "\n", + "\n", + "\n", + "SimulationCell_1Length->32758f25-16f4-462e-9e1e-6e841455d445\n", + "\n", + "\n", + "cmso.hasLength_y\n", + "\n", + "\n", + "\n", + "117a87c9-d325-44d4-9b2f-4e11900474f9\n", + "\n", + "4.09\n", + "\n", + "\n", + "\n", + "SimulationCell_1Length->117a87c9-d325-44d4-9b2f-4e11900474f9\n", + "\n", + "\n", + "cmso.hasLength_z\n", + "\n", + "\n", + "\n", + "c5b9cf7c-7ace-4dac-9c9d-6b33ccbd0856\n", + "\n", + "4.09\n", + "\n", + "\n", + "\n", + "SimulationCell_1Length->c5b9cf7c-7ace-4dac-9c9d-6b33ccbd0856\n", + "\n", + "\n", + "cmso.hasLength_x\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "g.visualise(backend='graphviz')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2d57b466-6d44-4bf9-88d7-28a4f0e5e7fd", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "pyscal_rdf.rdfsystem.System" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(sys)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f6407cfe-7b05-44f3-a7f8-15de1bd41350", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From f1685fe2e47bf9551a17e271049c851600f3418e Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Mon, 27 Nov 2023 16:18:21 +0100 Subject: [PATCH 22/49] remove stray read-in --- pyscal_rdf/graph.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index e690173..a8a1fe1 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -26,9 +26,6 @@ PLDO = Namespace("http://purls.helmholtz-metadaten.de/pldo/") PODO = Namespace("http://purls.helmholtz-metadaten.de/podo/") -with open(structures, 'r') as fin: - for line in fin: - a=line defstyledict = { "BNode": {"color": "#ffe6ff", From e04e0ca2417fb0e2ceac183edccd4d1ed34a5f98 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Mon, 27 Nov 2023 16:45:28 +0100 Subject: [PATCH 23/49] add function for adding terms --- notebooks/ontology_path.ipynb | 350 ++++++++++++++++++++++++++++++++-- pyscal_rdf/network/network.py | 78 +++----- 2 files changed, 357 insertions(+), 71 deletions(-) diff --git a/notebooks/ontology_path.ipynb b/notebooks/ontology_path.ipynb index 1ef04b2..fbf4282 100644 --- a/notebooks/ontology_path.ipynb +++ b/notebooks/ontology_path.ipynb @@ -15,36 +15,305 @@ "execution_count": 2, "id": "accb9d35-f1d2-4fa1-a937-17ab30cfe62d", "metadata": {}, + "outputs": [], + "source": [ + "#prov = OntologyNetwork('../pyscal_rdf/data/prov.rdf', delimiter='#')\n", + "cmso = OntologyNetwork('../pyscal_rdf/data/cmso.owl')\n", + "pldo = OntologyNetwork('../pyscal_rdf/data/pldo.owl')\n", + "podo = OntologyNetwork('../pyscal_rdf/data/podo.owl')\n", + "msmo = OntologyNetwork('../pyscal_rdf/data/msmo.owl')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "e096bccb-dd53-4700-b2df-a4847128c1c1", + "metadata": {}, + "outputs": [], + "source": [ + "combo = cmso + pldo + podo + msmo" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f1b55006-9fcd-44b1-81a0-4d7477515259", + "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "* Owlready2 * WARNING: ObjectProperty http://www.w3.org/ns/prov#specializationOf belongs to more than one entity types: [owl.AnnotationProperty, owl.ObjectProperty, prov.alternateOf]; I'm trying to fix it...\n", - "* Owlready2 * WARNING: ObjectProperty http://www.w3.org/ns/prov#wasRevisionOf belongs to more than one entity types: [owl.AnnotationProperty, owl.ObjectProperty, prov.wasDerivedFrom]; I'm trying to fix it...\n" - ] + "data": { + "text/plain": [ + "{'cmso': 'http://purls.helmholtz-metadaten.de/cmso/',\n", + " 'qudt': 'http://qudt.org/schema/qudt/',\n", + " 'pldo': 'http://purls.helmholtz-metadaten.de/pldo/',\n", + " 'podo': 'http://purls.helmholtz-metadaten.de/podo/',\n", + " 'msmo': 'http://purls.helmholtz-metadaten.de/msmo/'}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "prov = OntologyNetwork('pyscal_rdf/data/prov.rdf', delimiter='#')\n", - "cmso = OntologyNetwork('pyscal_rdf/data/cmso.owl')\n", - "pldo = OntologyNetwork('pyscal_rdf/data/pldo.owl')\n", - "podo = OntologyNetwork('pyscal_rdf/data/podo.owl')" + "combo.namespaces" + ] + }, + { + "cell_type": "markdown", + "id": "e56a515d-7116-4a37-b277-547bfb3c3f50", + "metadata": {}, + "source": [ + "Manually add provo attributes" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "e096bccb-dd53-4700-b2df-a4847128c1c1", + "execution_count": null, + "id": "c980bd25-7f24-4651-abdd-8e99523e17ac", "metadata": {}, "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7a81aea6-aad5-4552-9c70-6405ab410d2b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'class': {'cmso:SimulationCell': cmso:SimulationCell,\n", + " 'cmso:UnitCell': cmso:UnitCell,\n", + " 'cmso:Angle': cmso:Angle,\n", + " 'cmso:LatticeAngle': cmso:LatticeAngle,\n", + " 'cmso:SimulationCellAngle': cmso:SimulationCellAngle,\n", + " 'cmso:AtomicScaleSample': cmso:AtomicScaleSample,\n", + " 'cmso:Atom': cmso:Atom,\n", + " 'cmso:Basis': cmso:Basis,\n", + " 'cmso:ComputationalSample': cmso:ComputationalSample,\n", + " 'cmso:MacroscaleSample': cmso:MacroscaleSample,\n", + " 'cmso:MesoscaleSample': cmso:MesoscaleSample,\n", + " 'cmso:MicroscaleSample': cmso:MicroscaleSample,\n", + " 'cmso:NanoscaleSample': cmso:NanoscaleSample,\n", + " 'cmso:CalculatedProperty': cmso:CalculatedProperty,\n", + " 'cmso:CrystallineMaterial': cmso:CrystallineMaterial,\n", + " 'cmso:CrystalDefect': cmso:CrystalDefect,\n", + " 'cmso:ChemicalSpecies': cmso:ChemicalSpecies,\n", + " 'cmso:Molecule': cmso:Molecule,\n", + " 'cmso:ChemicalElement': cmso:ChemicalElement,\n", + " 'cmso:LatticeParameter': cmso:LatticeParameter,\n", + " 'cmso:Length': cmso:Length,\n", + " 'cmso:SimulationCellLength': cmso:SimulationCellLength,\n", + " 'cmso:Material': cmso:Material,\n", + " 'cmso:AmorphousMaterial': cmso:AmorphousMaterial,\n", + " 'cmso:PositionVector': cmso:PositionVector,\n", + " 'cmso:CrystalStructure': cmso:CrystalStructure,\n", + " 'cmso:SpaceGroup': cmso:SpaceGroup,\n", + " 'cmso:Structure': cmso:Structure,\n", + " 'cmso:Microstructure': cmso:Microstructure,\n", + " 'cmso:Vector': cmso:Vector,\n", + " 'cmso:LatticeVector': cmso:LatticeVector,\n", + " 'cmso:SimulationCellVector': cmso:SimulationCellVector,\n", + " 'qudt:Unit': qudt:Unit,\n", + " 'pldo:MixedGrainBoundary': pldo:MixedGrainBoundary,\n", + " 'pldo:TiltGrainBoundary': pldo:TiltGrainBoundary,\n", + " 'pldo:SymmetricalTiltGrainBoundary': pldo:SymmetricalTiltGrainBoundary,\n", + " 'pldo:TwistGrainBoundary': pldo:TwistGrainBoundary,\n", + " 'pldo:GrainBoundary': pldo:GrainBoundary,\n", + " 'pldo:LowAngleGrainBoundary': pldo:LowAngleGrainBoundary,\n", + " 'pldo:AntiphaseBoundary': pldo:AntiphaseBoundary,\n", + " 'pldo:PlanarDefect': pldo:PlanarDefect,\n", + " 'pldo:StackingFault': pldo:StackingFault,\n", + " 'pldo:Surface': pldo:Surface,\n", + " 'pldo:TwinBoundary': pldo:TwinBoundary,\n", + " 'podo:AntisiteDefect': podo:AntisiteDefect,\n", + " 'podo:PointDefect': podo:PointDefect,\n", + " 'podo:FrenkelDefect': podo:FrenkelDefect,\n", + " 'podo:Impurity': podo:Impurity,\n", + " 'podo:Interstitial': podo:Interstitial,\n", + " 'podo:SchottkyDefect': podo:SchottkyDefect,\n", + " 'podo:Vacancy': podo:Vacancy,\n", + " 'podo:InterstitialImpurity': podo:InterstitialImpurity,\n", + " 'podo:SubstitutionalImpurity': podo:SubstitutionalImpurity,\n", + " 'podo:Self-interstitial': podo:Self-interstitial,\n", + " 'msmo:ComputationalMethod': msmo:ComputationalMethod,\n", + " 'msmo:AtomisticMethod': msmo:AtomisticMethod,\n", + " 'msmo:MonteCarloMethod': msmo:MonteCarloMethod,\n", + " 'msmo:DensityFunctionalTheory': msmo:DensityFunctionalTheory,\n", + " 'msmo:MolecularDynamics': msmo:MolecularDynamics,\n", + " 'msmo:AbinitioMolecularDynamics': msmo:AbinitioMolecularDynamics,\n", + " 'msmo:KineticMonteCarloMethod': msmo:KineticMonteCarloMethod,\n", + " 'msmo:MolecularDynamicsMinimization': msmo:MolecularDynamicsMinimization,\n", + " 'msmo:MolecularDynamicsNPT': msmo:MolecularDynamicsNPT,\n", + " 'msmo:MolecularDynamicsNVT': msmo:MolecularDynamicsNVT,\n", + " 'msmo:Calculation': msmo:Calculation},\n", + " 'object_property': {'cmso:hasAngle': cmso:hasAngle,\n", + " 'cmso:hasAtom': cmso:hasAtom,\n", + " 'cmso:hasBasis': cmso:hasBasis,\n", + " 'cmso:hasCalculatedProperty': cmso:hasCalculatedProperty,\n", + " 'cmso:isCalculatedPropertyOf': cmso:isCalculatedPropertyOf,\n", + " 'cmso:hasDefect': cmso:hasDefect,\n", + " 'cmso:isDefectOf': cmso:isDefectOf,\n", + " 'cmso:hasElement': cmso:hasElement,\n", + " 'cmso:hasLatticeParameter': cmso:hasLatticeParameter,\n", + " 'cmso:hasLength': cmso:hasLength,\n", + " 'cmso:hasMaterial': cmso:hasMaterial,\n", + " 'cmso:isMaterialOf': cmso:isMaterialOf,\n", + " 'cmso:hasPositionVector': cmso:hasPositionVector,\n", + " 'cmso:hasVector': cmso:hasVector,\n", + " 'cmso:hasSimulationCell': cmso:hasSimulationCell,\n", + " 'cmso:hasSpaceGroup': cmso:hasSpaceGroup,\n", + " 'cmso:hasSpecies': cmso:hasSpecies,\n", + " 'cmso:hasStructure': cmso:hasStructure,\n", + " 'cmso:hasUnit': cmso:hasUnit,\n", + " 'cmso:hasUnitCell': cmso:hasUnitCell,\n", + " 'pldo:hasTiltComponent': pldo:hasTiltComponent,\n", + " 'pldo:hasTwistComponent': pldo:hasTwistComponent},\n", + " 'data_property': {'cmso:hasAltName': cmso:hasAltName,\n", + " 'cmso:hasName': cmso:hasName,\n", + " 'cmso:hasAngle_alpha': cmso:hasAngle_alpha,\n", + " 'cmso:hasAngle_beta': cmso:hasAngle_beta,\n", + " 'cmso:hasAngle_gamma': cmso:hasAngle_gamma,\n", + " 'cmso:hasChemicalSymbol': cmso:hasChemicalSymbol,\n", + " 'cmso:hasSymbol': cmso:hasSymbol,\n", + " 'cmso:hasComponent_x': cmso:hasComponent_x,\n", + " 'cmso:hasComponent_y': cmso:hasComponent_y,\n", + " 'cmso:hasComponent_z': cmso:hasComponent_z,\n", + " 'cmso:hasCoordinationNumber': cmso:hasCoordinationNumber,\n", + " 'cmso:hasElementRatio': cmso:hasElementRatio,\n", + " 'cmso:hasLength_x': cmso:hasLength_x,\n", + " 'cmso:hasLength_y': cmso:hasLength_y,\n", + " 'cmso:hasLength_z': cmso:hasLength_z,\n", + " 'cmso:hasNumberOfAtoms': cmso:hasNumberOfAtoms,\n", + " 'cmso:hasReference': cmso:hasReference,\n", + " 'cmso:hasRepetition_x': cmso:hasRepetition_x,\n", + " 'cmso:hasRepetition_y': cmso:hasRepetition_y,\n", + " 'cmso:hasRepetition_z': cmso:hasRepetition_z,\n", + " 'cmso:hasSpaceGroupNumber': cmso:hasSpaceGroupNumber,\n", + " 'cmso:hasSpaceGroupSymbol': cmso:hasSpaceGroupSymbol,\n", + " 'cmso:hasValue': cmso:hasValue,\n", + " 'cmso:hasVolume': cmso:hasVolume,\n", + " 'pldo:geometricalDegreesOfFreedom': pldo:geometricalDegreesOfFreedom,\n", + " 'pldo:hasGBplane': pldo:hasGBplane,\n", + " 'pldo:macroscopicDegreesOfFreedom': pldo:macroscopicDegreesOfFreedom,\n", + " 'pldo:hasMisorientationAngle': pldo:hasMisorientationAngle,\n", + " 'pldo:hasRotationAxis': pldo:hasRotationAxis,\n", + " 'pldo:hasSigmaValue': pldo:hasSigmaValue,\n", + " 'pldo:microscopicDegreesOfFreedom': pldo:microscopicDegreesOfFreedom,\n", + " 'podo:hasNumberOfVacancies': podo:hasNumberOfVacancies,\n", + " 'podo:hasVacancyConcentration': podo:hasVacancyConcentration},\n", + " 'data_node': ['cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'pldo:hasGBplanevalue',\n", + " 'pldo:hasMisorientationAnglevalue',\n", + " 'pldo:hasRotationAxisvalue',\n", + " 'pldo:hasSigmaValuevalue',\n", + " 'cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'pldo:hasGBplanevalue',\n", + " 'pldo:hasMisorientationAnglevalue',\n", + " 'pldo:hasRotationAxisvalue',\n", + " 'pldo:hasSigmaValuevalue',\n", + " 'cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'pldo:hasGBplanevalue',\n", + " 'pldo:hasMisorientationAnglevalue',\n", + " 'pldo:hasRotationAxisvalue',\n", + " 'pldo:hasSigmaValuevalue']}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "combo = cmso + pldo + podo + prov" + "combo.attributes[]" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 16, "id": "ae541ef0-08f7-416e-a593-db950b99197c", "metadata": {}, "outputs": [], @@ -53,7 +322,51 @@ "combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy'))\n", "combo.add_path(('cmso:SimulationCell', 'podo:hasVacancyConcentration', 'float'))\n", "combo.add_path(('cmso:SimulationCell', 'podo:hasNumberOfVacancies', 'int'))\n", - "combo.add_path(('cmso:SimulationCell', 'prov:wasDerivedFrom', 'cmso:SimulationCell'))" + "combo.add_path(('cmso:ComputationalSample', 'prov:wasDerivedFrom', 'cmso:ComputationalSample'))\n", + "combo.add_path(('cmso:ComputationalSample', 'prov:wasGeneratedBy', 'msmo:ComputationalMethod'))\n", + "combo.add_path(('msmo:ComputationalMethod', 'prov:wasAssociatedWith', 'prov:SoftwareAgent'))\n", + "#combo.add_path(('prov:SoftwareAgent', ))" + ] + }, + { + "cell_type": "markdown", + "id": "5f2e1c60-ac36-43d5-abd2-5828a1d8025c", + "metadata": {}, + "source": [ + "Test a complex workflow query" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "3fa87ea8-8ab3-4381-9c52-1b9df2146fa8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PREFIX cmso: \n", + "PREFIX qudt: \n", + "PREFIX pldo: \n", + "PREFIX podo: \n", + "PREFIX prov: \n", + "PREFIX owl: \n", + "PREFIX msmo: \n", + "PREFIX rdf: \n", + "SELECT DISTINCT ?ComputationalMethod ?SoftwareAgent\n", + "WHERE {\n", + " ?ComputationalSample prov:wasGeneratedBy ?ComputationalMethod .\n", + " ?ComputationalSample prov:wasDerivedFrom ?Bundle .\n", + " ?Bundle prov:wasInfluencedBy ?SoftwareAgent .\n", + "FILTER \n", + "}\n" + ] + } + ], + "source": [ + "s = combo.create_query(combo.terms.cmso.ComputationalSample, [combo.terms.msmo.ComputationalMethod, combo.terms.prov.SoftwareAgent])\n", + "print(s)" ] }, { @@ -66,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 17, "id": "288f0e22-b16e-4bae-8c63-f01a3ed28e6f", "metadata": {}, "outputs": [], @@ -76,7 +389,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 18, "id": "6a34f8d9-d120-4560-b556-ca7836ac9151", "metadata": {}, "outputs": [ @@ -90,6 +403,7 @@ "PREFIX podo: \n", "PREFIX prov: \n", "PREFIX owl: \n", + "PREFIX msmo: \n", "PREFIX rdf: \n", "SELECT DISTINCT ?hasSigmaValuevalue\n", "WHERE {\n", @@ -135,7 +449,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 48a4903..76dd09f 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -5,6 +5,7 @@ import os import warnings from pyscal_rdf.network.parser import OntoParser +from pyscal_rdf.network.term import OntoTerm, strip_name from pyscal3.atoms import AttrSetter owlfile = os.path.join(os.path.dirname(__file__), "../data/cmso.owl") @@ -110,7 +111,30 @@ def _add_data_properties(self): self.g.add_edge(val.name, data_node) - + def add_namespace(self, namespace_name, namespace_iri): + """ + Add a new namespace + """ + if namespace_name not in self.onto.namespaces.keys(): + self.onto.namespaces[namespace_name] = namespace_iri + else: + raise KeyError("namespace is already there!") + + def add_term(self, uri, node_type, + dm=[], rn=[], data_type=None, + node_id=None, delimiter='/'): + """ + Add a node + """ + namespace = strip_name(uri, delimiter, get_what="namespace") + name = strip_name(uri, delimiter, get_what="name") + term = OntoTerm(uri, node_type=node_type, dm =dm, + rn=rn, data_type=data_type, node_id=node_id, + delimiter=delimiter) + if not namespace in self.onto.namespaces.keys(): + raise ValueError("Namespace not found, first add namespace") + self.onto.attributes[node_type][name] = term + def add_path(self, triple): """ Add a triple as path. Note that all attributes of the triple should already @@ -168,58 +192,6 @@ def get_path_from_sample(self, target): path = self.get_shortest_path(source="cmso:ComputationalSample", target=target, triples=True) return path - def phrase_to_sparql(self, phrase): - def _extract_operation(phr): - r = phr.split(' ') - if len(r) != 3: - raise ValueError('wrong filters!') - return f'?value{r[1]}\"{r[2]}\"^^xsd:datatype' - - conditions = [] - operation = None - - raw = phrase.split(' and ') - - if len(raw) > 1: - operation = '&&' - if operation is None: - raw = phrase.split(' or ') - if len(raw) > 1: - operation = '||' - - if operation is not None: - for ph in raw: - conditions.append(_extract_operation(ph)) - else: - conditions.append(_extract_operation(phrase)) - full_str = f' {operation} '.join(conditions) - #replace values - return full_str - - - def validate_values(self, destinations, values): - combinator_dict = {'and': '&&', 'or': '||'} - combinator_list = values[1::2] - phrase_list = values[::2] - if not len(combinator_list) == len(destinations)-1: - raise ValueError("Invalid combinations!") - - sparql_phrase_list = [] - for phrase, destination in zip(phrase_list, destinations): - sparql_phrase = self.phrase_to_sparql(phrase) - sparql_phrase = sparql_phrase.replace('value', self.strip_name(destination)) - sparql_phrase = sparql_phrase.replace('datatype', self.g.nodes[destination]['data_type']) - sparql_phrase_list.append(sparql_phrase) - - #combine phrases with phrase list - updated_sparql_phrase_list = [] - for count, sparql_phrase in enumerate(sparql_phrase_list): - updated_sparql_phrase_list.append(f'({sparql_phrase})') - if count < len(sparql_phrase_list)-1: - updated_sparql_phrase_list.append(combinator_dict[combinator_list[count]]) - - full_filter = " ".join(updated_sparql_phrase_list) - return f'FILTER ({full_filter})' def create_query(self, source, destinations, condition=None): """ From 8cee057e3cf3342a2b3db6945c0b205c7330ed95 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Mon, 27 Nov 2023 17:51:28 +0100 Subject: [PATCH 24/49] add possibility to overwrite names --- notebooks/ontology_path.ipynb | 360 +++++++++++++--------------------- pyscal_rdf/network/term.py | 29 ++- 2 files changed, 157 insertions(+), 232 deletions(-) diff --git a/notebooks/ontology_path.ipynb b/notebooks/ontology_path.ipynb index fbf4282..3150805 100644 --- a/notebooks/ontology_path.ipynb +++ b/notebooks/ontology_path.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 31, "id": "9319ee4b-1fdd-4658-bbd3-7f2f0028782d", "metadata": {}, "outputs": [], @@ -12,12 +12,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 32, "id": "accb9d35-f1d2-4fa1-a937-17ab30cfe62d", "metadata": {}, "outputs": [], "source": [ - "#prov = OntologyNetwork('../pyscal_rdf/data/prov.rdf', delimiter='#')\n", + "prov = OntologyNetwork('../pyscal_rdf/data/prov.rdf', delimiter='#')\n", "cmso = OntologyNetwork('../pyscal_rdf/data/cmso.owl')\n", "pldo = OntologyNetwork('../pyscal_rdf/data/pldo.owl')\n", "podo = OntologyNetwork('../pyscal_rdf/data/podo.owl')\n", @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 33, "id": "e096bccb-dd53-4700-b2df-a4847128c1c1", "metadata": {}, "outputs": [], @@ -36,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 34, "id": "f1b55006-9fcd-44b1-81a0-4d7477515259", "metadata": {}, "outputs": [ @@ -50,7 +50,7 @@ " 'msmo': 'http://purls.helmholtz-metadaten.de/msmo/'}" ] }, - "execution_count": 5, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -59,6 +59,27 @@ "combo.namespaces" ] }, + { + "cell_type": "code", + "execution_count": 35, + "id": "8dd74206-f633-4836-bf86-f0ecb8b2e3f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'prov': 'http://www.w3.org/ns/prov#', 'owl': 'http://www.w3.org/2002/07/owl#'}" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prov.namespaces" + ] + }, { "cell_type": "markdown", "id": "e56a515d-7116-4a37-b277-547bfb3c3f50", @@ -69,246 +90,92 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "id": "c980bd25-7f24-4651-abdd-8e99523e17ac", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "combo.add_namespace('prov', 'http://www.w3.org/ns/prov#')\n", + "combo.add_namespace('rdf', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#')\n", + "combo.add_namespace('rdfs', 'http://www.w3.org/2000/01/rdf-schema#')" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "abe9c395-6b88-450a-a447-0d3d43439f9c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'cmso': 'http://purls.helmholtz-metadaten.de/cmso/',\n", + " 'qudt': 'http://qudt.org/schema/qudt/',\n", + " 'pldo': 'http://purls.helmholtz-metadaten.de/pldo/',\n", + " 'podo': 'http://purls.helmholtz-metadaten.de/podo/',\n", + " 'msmo': 'http://purls.helmholtz-metadaten.de/msmo/',\n", + " 'prov': 'http://www.w3.org/ns/prov#',\n", + " 'rdf': 'http://www.w3.org/1999/02/22-rdf-syntax-ns#',\n", + " 'rdfs': 'http://www.w3.org/2000/01/rdf-schema#'}" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "combo.namespaces" + ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 38, + "id": "b726d163-d708-4ced-8b8d-701950c5c517", + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "Namespace not found, first add namespace", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[38], line 6\u001b[0m\n\u001b[1;32m 4\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 5\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#actedOnBehalfOf\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 6\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_term\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhttp://www.w3.org/2000/01/rdf-schema#label\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mobject_property\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m#\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/1999/02/22-rdf-syntax-ns#type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:135\u001b[0m, in \u001b[0;36mOntologyNetwork.add_term\u001b[0;34m(self, uri, node_type, dm, rn, data_type, node_id, delimiter)\u001b[0m\n\u001b[1;32m 131\u001b[0m term \u001b[38;5;241m=\u001b[39m OntoTerm(uri, node_type\u001b[38;5;241m=\u001b[39mnode_type, dm \u001b[38;5;241m=\u001b[39mdm, \n\u001b[1;32m 132\u001b[0m rn\u001b[38;5;241m=\u001b[39mrn, data_type\u001b[38;5;241m=\u001b[39mdata_type, node_id\u001b[38;5;241m=\u001b[39mnode_id,\n\u001b[1;32m 133\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter)\n\u001b[1;32m 134\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m namespace \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mnamespaces\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[0;32m--> 135\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNamespace not found, first add namespace\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 136\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mattributes[node_type][name] \u001b[38;5;241m=\u001b[39m term\n", + "\u001b[0;31mValueError\u001b[0m: Namespace not found, first add namespace" + ] + } + ], + "source": [ + "combo.add_term('http://www.w3.org/ns/prov#Entity', 'class', delimiter='#')\n", + "combo.add_term('http://www.w3.org/ns/prov#wasDerivedFrom', 'object_property', delimiter='#')\n", + "combo.add_term('http://www.w3.org/ns/prov#wasGeneratedBy', 'object_property', delimiter='#')\n", + "combo.add_term('http://www.w3.org/ns/prov#wasAssociatedWith', 'object_property', delimiter='#')\n", + "combo.add_term('http://www.w3.org/ns/prov#actedOnBehalfOf', 'object_property', delimiter='#')\n", + "combo.add_term('http://www.w3.org/2000/01/rdf-schema#label', 'object_property', delimiter='#')\n", + "combo.add_term('http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'object_property', delimiter='#')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "id": "7a81aea6-aad5-4552-9c70-6405ab410d2b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'class': {'cmso:SimulationCell': cmso:SimulationCell,\n", - " 'cmso:UnitCell': cmso:UnitCell,\n", - " 'cmso:Angle': cmso:Angle,\n", - " 'cmso:LatticeAngle': cmso:LatticeAngle,\n", - " 'cmso:SimulationCellAngle': cmso:SimulationCellAngle,\n", - " 'cmso:AtomicScaleSample': cmso:AtomicScaleSample,\n", - " 'cmso:Atom': cmso:Atom,\n", - " 'cmso:Basis': cmso:Basis,\n", - " 'cmso:ComputationalSample': cmso:ComputationalSample,\n", - " 'cmso:MacroscaleSample': cmso:MacroscaleSample,\n", - " 'cmso:MesoscaleSample': cmso:MesoscaleSample,\n", - " 'cmso:MicroscaleSample': cmso:MicroscaleSample,\n", - " 'cmso:NanoscaleSample': cmso:NanoscaleSample,\n", - " 'cmso:CalculatedProperty': cmso:CalculatedProperty,\n", - " 'cmso:CrystallineMaterial': cmso:CrystallineMaterial,\n", - " 'cmso:CrystalDefect': cmso:CrystalDefect,\n", - " 'cmso:ChemicalSpecies': cmso:ChemicalSpecies,\n", - " 'cmso:Molecule': cmso:Molecule,\n", - " 'cmso:ChemicalElement': cmso:ChemicalElement,\n", - " 'cmso:LatticeParameter': cmso:LatticeParameter,\n", - " 'cmso:Length': cmso:Length,\n", - " 'cmso:SimulationCellLength': cmso:SimulationCellLength,\n", - " 'cmso:Material': cmso:Material,\n", - " 'cmso:AmorphousMaterial': cmso:AmorphousMaterial,\n", - " 'cmso:PositionVector': cmso:PositionVector,\n", - " 'cmso:CrystalStructure': cmso:CrystalStructure,\n", - " 'cmso:SpaceGroup': cmso:SpaceGroup,\n", - " 'cmso:Structure': cmso:Structure,\n", - " 'cmso:Microstructure': cmso:Microstructure,\n", - " 'cmso:Vector': cmso:Vector,\n", - " 'cmso:LatticeVector': cmso:LatticeVector,\n", - " 'cmso:SimulationCellVector': cmso:SimulationCellVector,\n", - " 'qudt:Unit': qudt:Unit,\n", - " 'pldo:MixedGrainBoundary': pldo:MixedGrainBoundary,\n", - " 'pldo:TiltGrainBoundary': pldo:TiltGrainBoundary,\n", - " 'pldo:SymmetricalTiltGrainBoundary': pldo:SymmetricalTiltGrainBoundary,\n", - " 'pldo:TwistGrainBoundary': pldo:TwistGrainBoundary,\n", - " 'pldo:GrainBoundary': pldo:GrainBoundary,\n", - " 'pldo:LowAngleGrainBoundary': pldo:LowAngleGrainBoundary,\n", - " 'pldo:AntiphaseBoundary': pldo:AntiphaseBoundary,\n", - " 'pldo:PlanarDefect': pldo:PlanarDefect,\n", - " 'pldo:StackingFault': pldo:StackingFault,\n", - " 'pldo:Surface': pldo:Surface,\n", - " 'pldo:TwinBoundary': pldo:TwinBoundary,\n", - " 'podo:AntisiteDefect': podo:AntisiteDefect,\n", - " 'podo:PointDefect': podo:PointDefect,\n", - " 'podo:FrenkelDefect': podo:FrenkelDefect,\n", - " 'podo:Impurity': podo:Impurity,\n", - " 'podo:Interstitial': podo:Interstitial,\n", - " 'podo:SchottkyDefect': podo:SchottkyDefect,\n", - " 'podo:Vacancy': podo:Vacancy,\n", - " 'podo:InterstitialImpurity': podo:InterstitialImpurity,\n", - " 'podo:SubstitutionalImpurity': podo:SubstitutionalImpurity,\n", - " 'podo:Self-interstitial': podo:Self-interstitial,\n", - " 'msmo:ComputationalMethod': msmo:ComputationalMethod,\n", - " 'msmo:AtomisticMethod': msmo:AtomisticMethod,\n", - " 'msmo:MonteCarloMethod': msmo:MonteCarloMethod,\n", - " 'msmo:DensityFunctionalTheory': msmo:DensityFunctionalTheory,\n", - " 'msmo:MolecularDynamics': msmo:MolecularDynamics,\n", - " 'msmo:AbinitioMolecularDynamics': msmo:AbinitioMolecularDynamics,\n", - " 'msmo:KineticMonteCarloMethod': msmo:KineticMonteCarloMethod,\n", - " 'msmo:MolecularDynamicsMinimization': msmo:MolecularDynamicsMinimization,\n", - " 'msmo:MolecularDynamicsNPT': msmo:MolecularDynamicsNPT,\n", - " 'msmo:MolecularDynamicsNVT': msmo:MolecularDynamicsNVT,\n", - " 'msmo:Calculation': msmo:Calculation},\n", - " 'object_property': {'cmso:hasAngle': cmso:hasAngle,\n", - " 'cmso:hasAtom': cmso:hasAtom,\n", - " 'cmso:hasBasis': cmso:hasBasis,\n", - " 'cmso:hasCalculatedProperty': cmso:hasCalculatedProperty,\n", - " 'cmso:isCalculatedPropertyOf': cmso:isCalculatedPropertyOf,\n", - " 'cmso:hasDefect': cmso:hasDefect,\n", - " 'cmso:isDefectOf': cmso:isDefectOf,\n", - " 'cmso:hasElement': cmso:hasElement,\n", - " 'cmso:hasLatticeParameter': cmso:hasLatticeParameter,\n", - " 'cmso:hasLength': cmso:hasLength,\n", - " 'cmso:hasMaterial': cmso:hasMaterial,\n", - " 'cmso:isMaterialOf': cmso:isMaterialOf,\n", - " 'cmso:hasPositionVector': cmso:hasPositionVector,\n", - " 'cmso:hasVector': cmso:hasVector,\n", - " 'cmso:hasSimulationCell': cmso:hasSimulationCell,\n", - " 'cmso:hasSpaceGroup': cmso:hasSpaceGroup,\n", - " 'cmso:hasSpecies': cmso:hasSpecies,\n", - " 'cmso:hasStructure': cmso:hasStructure,\n", - " 'cmso:hasUnit': cmso:hasUnit,\n", - " 'cmso:hasUnitCell': cmso:hasUnitCell,\n", - " 'pldo:hasTiltComponent': pldo:hasTiltComponent,\n", - " 'pldo:hasTwistComponent': pldo:hasTwistComponent},\n", - " 'data_property': {'cmso:hasAltName': cmso:hasAltName,\n", - " 'cmso:hasName': cmso:hasName,\n", - " 'cmso:hasAngle_alpha': cmso:hasAngle_alpha,\n", - " 'cmso:hasAngle_beta': cmso:hasAngle_beta,\n", - " 'cmso:hasAngle_gamma': cmso:hasAngle_gamma,\n", - " 'cmso:hasChemicalSymbol': cmso:hasChemicalSymbol,\n", - " 'cmso:hasSymbol': cmso:hasSymbol,\n", - " 'cmso:hasComponent_x': cmso:hasComponent_x,\n", - " 'cmso:hasComponent_y': cmso:hasComponent_y,\n", - " 'cmso:hasComponent_z': cmso:hasComponent_z,\n", - " 'cmso:hasCoordinationNumber': cmso:hasCoordinationNumber,\n", - " 'cmso:hasElementRatio': cmso:hasElementRatio,\n", - " 'cmso:hasLength_x': cmso:hasLength_x,\n", - " 'cmso:hasLength_y': cmso:hasLength_y,\n", - " 'cmso:hasLength_z': cmso:hasLength_z,\n", - " 'cmso:hasNumberOfAtoms': cmso:hasNumberOfAtoms,\n", - " 'cmso:hasReference': cmso:hasReference,\n", - " 'cmso:hasRepetition_x': cmso:hasRepetition_x,\n", - " 'cmso:hasRepetition_y': cmso:hasRepetition_y,\n", - " 'cmso:hasRepetition_z': cmso:hasRepetition_z,\n", - " 'cmso:hasSpaceGroupNumber': cmso:hasSpaceGroupNumber,\n", - " 'cmso:hasSpaceGroupSymbol': cmso:hasSpaceGroupSymbol,\n", - " 'cmso:hasValue': cmso:hasValue,\n", - " 'cmso:hasVolume': cmso:hasVolume,\n", - " 'pldo:geometricalDegreesOfFreedom': pldo:geometricalDegreesOfFreedom,\n", - " 'pldo:hasGBplane': pldo:hasGBplane,\n", - " 'pldo:macroscopicDegreesOfFreedom': pldo:macroscopicDegreesOfFreedom,\n", - " 'pldo:hasMisorientationAngle': pldo:hasMisorientationAngle,\n", - " 'pldo:hasRotationAxis': pldo:hasRotationAxis,\n", - " 'pldo:hasSigmaValue': pldo:hasSigmaValue,\n", - " 'pldo:microscopicDegreesOfFreedom': pldo:microscopicDegreesOfFreedom,\n", - " 'podo:hasNumberOfVacancies': podo:hasNumberOfVacancies,\n", - " 'podo:hasVacancyConcentration': podo:hasVacancyConcentration},\n", - " 'data_node': ['cmso:hasAltNamevalue',\n", - " 'cmso:hasNamevalue',\n", - " 'cmso:hasAngle_alphavalue',\n", - " 'cmso:hasAngle_betavalue',\n", - " 'cmso:hasAngle_gammavalue',\n", - " 'cmso:hasChemicalSymbolvalue',\n", - " 'cmso:hasComponent_xvalue',\n", - " 'cmso:hasComponent_yvalue',\n", - " 'cmso:hasComponent_zvalue',\n", - " 'cmso:hasCoordinationNumbervalue',\n", - " 'cmso:hasElementRatiovalue',\n", - " 'cmso:hasLength_xvalue',\n", - " 'cmso:hasLength_yvalue',\n", - " 'cmso:hasLength_zvalue',\n", - " 'cmso:hasNumberOfAtomsvalue',\n", - " 'cmso:hasRepetition_xvalue',\n", - " 'cmso:hasRepetition_yvalue',\n", - " 'cmso:hasRepetition_zvalue',\n", - " 'cmso:hasSpaceGroupNumbervalue',\n", - " 'cmso:hasSpaceGroupSymbolvalue',\n", - " 'cmso:hasVolumevalue',\n", - " 'cmso:hasAltNamevalue',\n", - " 'cmso:hasNamevalue',\n", - " 'cmso:hasAngle_alphavalue',\n", - " 'cmso:hasAngle_betavalue',\n", - " 'cmso:hasAngle_gammavalue',\n", - " 'cmso:hasChemicalSymbolvalue',\n", - " 'cmso:hasComponent_xvalue',\n", - " 'cmso:hasComponent_yvalue',\n", - " 'cmso:hasComponent_zvalue',\n", - " 'cmso:hasCoordinationNumbervalue',\n", - " 'cmso:hasElementRatiovalue',\n", - " 'cmso:hasLength_xvalue',\n", - " 'cmso:hasLength_yvalue',\n", - " 'cmso:hasLength_zvalue',\n", - " 'cmso:hasNumberOfAtomsvalue',\n", - " 'cmso:hasRepetition_xvalue',\n", - " 'cmso:hasRepetition_yvalue',\n", - " 'cmso:hasRepetition_zvalue',\n", - " 'cmso:hasSpaceGroupNumbervalue',\n", - " 'cmso:hasSpaceGroupSymbolvalue',\n", - " 'cmso:hasVolumevalue',\n", - " 'pldo:hasGBplanevalue',\n", - " 'pldo:hasMisorientationAnglevalue',\n", - " 'pldo:hasRotationAxisvalue',\n", - " 'pldo:hasSigmaValuevalue',\n", - " 'cmso:hasAltNamevalue',\n", - " 'cmso:hasNamevalue',\n", - " 'cmso:hasAngle_alphavalue',\n", - " 'cmso:hasAngle_betavalue',\n", - " 'cmso:hasAngle_gammavalue',\n", - " 'cmso:hasChemicalSymbolvalue',\n", - " 'cmso:hasComponent_xvalue',\n", - " 'cmso:hasComponent_yvalue',\n", - " 'cmso:hasComponent_zvalue',\n", - " 'cmso:hasCoordinationNumbervalue',\n", - " 'cmso:hasElementRatiovalue',\n", - " 'cmso:hasLength_xvalue',\n", - " 'cmso:hasLength_yvalue',\n", - " 'cmso:hasLength_zvalue',\n", - " 'cmso:hasNumberOfAtomsvalue',\n", - " 'cmso:hasRepetition_xvalue',\n", - " 'cmso:hasRepetition_yvalue',\n", - " 'cmso:hasRepetition_zvalue',\n", - " 'cmso:hasSpaceGroupNumbervalue',\n", - " 'cmso:hasSpaceGroupSymbolvalue',\n", - " 'cmso:hasVolumevalue',\n", - " 'pldo:hasGBplanevalue',\n", - " 'pldo:hasMisorientationAnglevalue',\n", - " 'pldo:hasRotationAxisvalue',\n", - " 'pldo:hasSigmaValuevalue',\n", - " 'cmso:hasAltNamevalue',\n", - " 'cmso:hasNamevalue',\n", - " 'cmso:hasAngle_alphavalue',\n", - " 'cmso:hasAngle_betavalue',\n", - " 'cmso:hasAngle_gammavalue',\n", - " 'cmso:hasChemicalSymbolvalue',\n", - " 'cmso:hasComponent_xvalue',\n", - " 'cmso:hasComponent_yvalue',\n", - " 'cmso:hasComponent_zvalue',\n", - " 'cmso:hasCoordinationNumbervalue',\n", - " 'cmso:hasElementRatiovalue',\n", - " 'cmso:hasLength_xvalue',\n", - " 'cmso:hasLength_yvalue',\n", - " 'cmso:hasLength_zvalue',\n", - " 'cmso:hasNumberOfAtomsvalue',\n", - " 'cmso:hasRepetition_xvalue',\n", - " 'cmso:hasRepetition_yvalue',\n", - " 'cmso:hasRepetition_zvalue',\n", - " 'cmso:hasSpaceGroupNumbervalue',\n", - " 'cmso:hasSpaceGroupSymbolvalue',\n", - " 'cmso:hasVolumevalue',\n", - " 'pldo:hasGBplanevalue',\n", - " 'pldo:hasMisorientationAnglevalue',\n", - " 'pldo:hasRotationAxisvalue',\n", - " 'pldo:hasSigmaValuevalue']}" + "'http://www.w3.org/ns/prov#actedOnBehalfOf'" ] }, - "execution_count": 6, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "combo.attributes[]" + "prov.terms.prov.actedOnBehalfOf.uri" ] }, { @@ -431,6 +298,45 @@ "q = cmso.create_query('cmso:ComputationalSample', ['pldo:hasSigmaValuevalue', 'cmso:hasAngle_alphavalue'], values = ['val > 5 and val < 10'])\n", "print(q)" ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "d06b0bc2-26f0-4474-a113-00b9563e09e4", + "metadata": {}, + "outputs": [], + "source": [ + "from rdflib import RDFS, RDF" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "1cc24b84-09ff-4e02-b397-c246d0b42c07", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "rdflib.term.URIRef('http://www.w3.org/1999/02/22-rdf-syntax-ns#type')" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RDF.type" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "234b1fa7-0d89-4a0f-b21b-cc04cfd6e10d", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 8629d0c..ce2220a 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -39,11 +39,24 @@ def strip_name(uri, delimiter, get_what='name'): class OntoTerm: - def __init__(self, uri, node_type=None, - dm=[], rn=[], data_type=None, - node_id=None, delimiter='/'): + def __init__(self, uri, + namespace=None, + node_type=None, + dm=[], rn=[], + data_type=None, + node_id=None, + delimiter='/'): """ - This is class that represents an ontology element + This is class that represents an ontology element. + + Parameters + ----------- + uri: string + uri of the ontology term + + namespace: string, optional + if provided this will be used as namespace + """ self.uri = uri #name of the class @@ -62,6 +75,9 @@ def __init__(self, uri, node_type=None, self.is_domain_of = [] self.is_range_of = [] self._condition = None + self._namespace = namespace + + @property def uri(self): @@ -85,7 +101,10 @@ def name(self): @property def namespace(self): - return strip_name(self.uri, self.delimiter, get_what="namespace") + if self._namespace is not None: + return self._namespace + else: + return strip_name(self.uri, self.delimiter, get_what="namespace") @property def namespace_with_prefix(self): From b9dbf19e2e6df7cbce70fcb263a2f488003bc4da Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Mon, 27 Nov 2023 17:57:43 +0100 Subject: [PATCH 25/49] add term names --- notebooks/ontology_path.ipynb | 41 +++++++++++++++++++++-------------- pyscal_rdf/network/network.py | 13 ++++++----- 2 files changed, 32 insertions(+), 22 deletions(-) diff --git a/notebooks/ontology_path.ipynb b/notebooks/ontology_path.ipynb index 3150805..3a21a3c 100644 --- a/notebooks/ontology_path.ipynb +++ b/notebooks/ontology_path.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 31, + "execution_count": 1, "id": "9319ee4b-1fdd-4658-bbd3-7f2f0028782d", "metadata": {}, "outputs": [], @@ -12,10 +12,19 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 2, "id": "accb9d35-f1d2-4fa1-a937-17ab30cfe62d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "* Owlready2 * WARNING: ObjectProperty http://www.w3.org/ns/prov#specializationOf belongs to more than one entity types: [owl.AnnotationProperty, owl.ObjectProperty, prov.alternateOf]; I'm trying to fix it...\n", + "* Owlready2 * WARNING: ObjectProperty http://www.w3.org/ns/prov#wasRevisionOf belongs to more than one entity types: [owl.AnnotationProperty, owl.ObjectProperty, prov.wasDerivedFrom]; I'm trying to fix it...\n" + ] + } + ], "source": [ "prov = OntologyNetwork('../pyscal_rdf/data/prov.rdf', delimiter='#')\n", "cmso = OntologyNetwork('../pyscal_rdf/data/cmso.owl')\n", @@ -26,7 +35,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 3, "id": "e096bccb-dd53-4700-b2df-a4847128c1c1", "metadata": {}, "outputs": [], @@ -36,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 4, "id": "f1b55006-9fcd-44b1-81a0-4d7477515259", "metadata": {}, "outputs": [ @@ -50,7 +59,7 @@ " 'msmo': 'http://purls.helmholtz-metadaten.de/msmo/'}" ] }, - "execution_count": 34, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -61,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 5, "id": "8dd74206-f633-4836-bf86-f0ecb8b2e3f3", "metadata": {}, "outputs": [ @@ -71,7 +80,7 @@ "{'prov': 'http://www.w3.org/ns/prov#', 'owl': 'http://www.w3.org/2002/07/owl#'}" ] }, - "execution_count": 35, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -90,7 +99,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 6, "id": "c980bd25-7f24-4651-abdd-8e99523e17ac", "metadata": {}, "outputs": [], @@ -102,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 7, "id": "abe9c395-6b88-450a-a447-0d3d43439f9c", "metadata": {}, "outputs": [ @@ -119,7 +128,7 @@ " 'rdfs': 'http://www.w3.org/2000/01/rdf-schema#'}" ] }, - "execution_count": 37, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -130,7 +139,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 8, "id": "b726d163-d708-4ced-8b8d-701950c5c517", "metadata": {}, "outputs": [ @@ -141,8 +150,8 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[38], line 6\u001b[0m\n\u001b[1;32m 4\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 5\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#actedOnBehalfOf\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 6\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_term\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhttp://www.w3.org/2000/01/rdf-schema#label\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mobject_property\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m#\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/1999/02/22-rdf-syntax-ns#type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:135\u001b[0m, in \u001b[0;36mOntologyNetwork.add_term\u001b[0;34m(self, uri, node_type, dm, rn, data_type, node_id, delimiter)\u001b[0m\n\u001b[1;32m 131\u001b[0m term \u001b[38;5;241m=\u001b[39m OntoTerm(uri, node_type\u001b[38;5;241m=\u001b[39mnode_type, dm \u001b[38;5;241m=\u001b[39mdm, \n\u001b[1;32m 132\u001b[0m rn\u001b[38;5;241m=\u001b[39mrn, data_type\u001b[38;5;241m=\u001b[39mdata_type, node_id\u001b[38;5;241m=\u001b[39mnode_id,\n\u001b[1;32m 133\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter)\n\u001b[1;32m 134\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m namespace \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mnamespaces\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[0;32m--> 135\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNamespace not found, first add namespace\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 136\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mattributes[node_type][name] \u001b[38;5;241m=\u001b[39m term\n", + "Cell \u001b[0;32mIn[8], line 6\u001b[0m\n\u001b[1;32m 4\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 5\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#actedOnBehalfOf\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 6\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_term\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhttp://www.w3.org/2000/01/rdf-schema#label\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdata_property\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m#\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnamespace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrdfs\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/1999/02/22-rdf-syntax-ns#type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m, namespace\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrdf\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:136\u001b[0m, in \u001b[0;36mOntologyNetwork.add_term\u001b[0;34m(self, uri, node_type, namespace, dm, rn, data_type, node_id, delimiter)\u001b[0m\n\u001b[1;32m 131\u001b[0m term \u001b[38;5;241m=\u001b[39m OntoTerm(uri, namespace\u001b[38;5;241m=\u001b[39mnamespace,\n\u001b[1;32m 132\u001b[0m node_type\u001b[38;5;241m=\u001b[39mnode_type, dm \u001b[38;5;241m=\u001b[39mdm, \n\u001b[1;32m 133\u001b[0m rn\u001b[38;5;241m=\u001b[39mrn, data_type\u001b[38;5;241m=\u001b[39mdata_type, node_id\u001b[38;5;241m=\u001b[39mnode_id,\n\u001b[1;32m 134\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter)\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m namespace \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mnamespaces\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[0;32m--> 136\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNamespace not found, first add namespace\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 137\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mattributes[node_type][name] \u001b[38;5;241m=\u001b[39m term\n", "\u001b[0;31mValueError\u001b[0m: Namespace not found, first add namespace" ] } @@ -153,8 +162,8 @@ "combo.add_term('http://www.w3.org/ns/prov#wasGeneratedBy', 'object_property', delimiter='#')\n", "combo.add_term('http://www.w3.org/ns/prov#wasAssociatedWith', 'object_property', delimiter='#')\n", "combo.add_term('http://www.w3.org/ns/prov#actedOnBehalfOf', 'object_property', delimiter='#')\n", - "combo.add_term('http://www.w3.org/2000/01/rdf-schema#label', 'object_property', delimiter='#')\n", - "combo.add_term('http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'object_property', delimiter='#')" + "combo.add_term('http://www.w3.org/2000/01/rdf-schema#label', 'data_property', delimiter='#', namespace='rdfs')\n", + "combo.add_term('http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'object_property', delimiter='#', namespace='rdf')" ] }, { diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 76dd09f..42d2b86 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -120,20 +120,21 @@ def add_namespace(self, namespace_name, namespace_iri): else: raise KeyError("namespace is already there!") - def add_term(self, uri, node_type, + def add_term(self, uri, node_type, namespace=None, dm=[], rn=[], data_type=None, node_id=None, delimiter='/'): """ Add a node """ - namespace = strip_name(uri, delimiter, get_what="namespace") - name = strip_name(uri, delimiter, get_what="name") - term = OntoTerm(uri, node_type=node_type, dm =dm, + #namespace = strip_name(uri, delimiter, get_what="namespace") + #name = strip_name(uri, delimiter, get_what="name") + term = OntoTerm(uri, namespace=namespace, + node_type=node_type, dm =dm, rn=rn, data_type=data_type, node_id=node_id, delimiter=delimiter) - if not namespace in self.onto.namespaces.keys(): + if not term.namespace in self.onto.namespaces.keys(): raise ValueError("Namespace not found, first add namespace") - self.onto.attributes[node_type][name] = term + self.onto.attributes[node_type][term.name] = term def add_path(self, triple): """ From db0c70c2f263f08b1ecd893b16b99aa220d33bbd Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 08:02:49 +0100 Subject: [PATCH 26/49] add query --- notebooks/ontology_path.ipynb | 108 +++++---------------------------- pyscal_rdf/network/network.py | 1 + pyscal_rdf/network/ontology.py | 38 +++++++++--- 3 files changed, 48 insertions(+), 99 deletions(-) diff --git a/notebooks/ontology_path.ipynb b/notebooks/ontology_path.ipynb index 3a21a3c..25b464a 100644 --- a/notebooks/ontology_path.ipynb +++ b/notebooks/ontology_path.ipynb @@ -43,52 +43,6 @@ "combo = cmso + pldo + podo + msmo" ] }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f1b55006-9fcd-44b1-81a0-4d7477515259", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'cmso': 'http://purls.helmholtz-metadaten.de/cmso/',\n", - " 'qudt': 'http://qudt.org/schema/qudt/',\n", - " 'pldo': 'http://purls.helmholtz-metadaten.de/pldo/',\n", - " 'podo': 'http://purls.helmholtz-metadaten.de/podo/',\n", - " 'msmo': 'http://purls.helmholtz-metadaten.de/msmo/'}" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "combo.namespaces" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "8dd74206-f633-4836-bf86-f0ecb8b2e3f3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'prov': 'http://www.w3.org/ns/prov#', 'owl': 'http://www.w3.org/2002/07/owl#'}" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prov.namespaces" - ] - }, { "cell_type": "markdown", "id": "e56a515d-7116-4a37-b277-547bfb3c3f50", @@ -99,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "c980bd25-7f24-4651-abdd-8e99523e17ac", "metadata": {}, "outputs": [], @@ -111,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "abe9c395-6b88-450a-a447-0d3d43439f9c", "metadata": {}, "outputs": [ @@ -128,7 +82,7 @@ " 'rdfs': 'http://www.w3.org/2000/01/rdf-schema#'}" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -139,25 +93,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "b726d163-d708-4ced-8b8d-701950c5c517", "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "Namespace not found, first add namespace", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[8], line 6\u001b[0m\n\u001b[1;32m 4\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 5\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/ns/prov#actedOnBehalfOf\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 6\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_term\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhttp://www.w3.org/2000/01/rdf-schema#label\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdata_property\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m#\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnamespace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrdfs\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_term(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttp://www.w3.org/1999/02/22-rdf-syntax-ns#type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobject_property\u001b[39m\u001b[38;5;124m'\u001b[39m, delimiter\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m#\u001b[39m\u001b[38;5;124m'\u001b[39m, namespace\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrdf\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:136\u001b[0m, in \u001b[0;36mOntologyNetwork.add_term\u001b[0;34m(self, uri, node_type, namespace, dm, rn, data_type, node_id, delimiter)\u001b[0m\n\u001b[1;32m 131\u001b[0m term \u001b[38;5;241m=\u001b[39m OntoTerm(uri, namespace\u001b[38;5;241m=\u001b[39mnamespace,\n\u001b[1;32m 132\u001b[0m node_type\u001b[38;5;241m=\u001b[39mnode_type, dm \u001b[38;5;241m=\u001b[39mdm, \n\u001b[1;32m 133\u001b[0m rn\u001b[38;5;241m=\u001b[39mrn, data_type\u001b[38;5;241m=\u001b[39mdata_type, node_id\u001b[38;5;241m=\u001b[39mnode_id,\n\u001b[1;32m 134\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter)\n\u001b[1;32m 135\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m namespace \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mnamespaces\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[0;32m--> 136\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNamespace not found, first add namespace\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 137\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39monto\u001b[38;5;241m.\u001b[39mattributes[node_type][name] \u001b[38;5;241m=\u001b[39m term\n", - "\u001b[0;31mValueError\u001b[0m: Namespace not found, first add namespace" - ] - } - ], + "outputs": [], "source": [ "combo.add_term('http://www.w3.org/ns/prov#Entity', 'class', delimiter='#')\n", + "combo.add_term('http://www.w3.org/ns/prov#Activity', 'class', delimiter='#')\n", + "combo.add_term('http://www.w3.org/ns/prov#SoftwareAgent', 'class', delimiter='#')\n", "combo.add_term('http://www.w3.org/ns/prov#wasDerivedFrom', 'object_property', delimiter='#')\n", "combo.add_term('http://www.w3.org/ns/prov#wasGeneratedBy', 'object_property', delimiter='#')\n", "combo.add_term('http://www.w3.org/ns/prov#wasAssociatedWith', 'object_property', delimiter='#')\n", @@ -168,28 +111,7 @@ }, { "cell_type": "code", - "execution_count": 23, - "id": "7a81aea6-aad5-4552-9c70-6405ab410d2b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'http://www.w3.org/ns/prov#actedOnBehalfOf'" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prov.terms.prov.actedOnBehalfOf.uri" - ] - }, - { - "cell_type": "code", - "execution_count": 16, + "execution_count": 7, "id": "ae541ef0-08f7-416e-a593-db950b99197c", "metadata": {}, "outputs": [], @@ -201,7 +123,8 @@ "combo.add_path(('cmso:ComputationalSample', 'prov:wasDerivedFrom', 'cmso:ComputationalSample'))\n", "combo.add_path(('cmso:ComputationalSample', 'prov:wasGeneratedBy', 'msmo:ComputationalMethod'))\n", "combo.add_path(('msmo:ComputationalMethod', 'prov:wasAssociatedWith', 'prov:SoftwareAgent'))\n", - "#combo.add_path(('prov:SoftwareAgent', ))" + "combo.add_path(('cmso:ComputationalSample', 'rdf:type', 'prov:Entity'))\n", + "combo.add_path(('msmo:ComputationalMethod', 'rdf:type', 'prov:Activity'))\n" ] }, { @@ -214,7 +137,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 8, "id": "3fa87ea8-8ab3-4381-9c52-1b9df2146fa8", "metadata": {}, "outputs": [ @@ -226,15 +149,16 @@ "PREFIX qudt: \n", "PREFIX pldo: \n", "PREFIX podo: \n", - "PREFIX prov: \n", - "PREFIX owl: \n", "PREFIX msmo: \n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", "PREFIX rdf: \n", "SELECT DISTINCT ?ComputationalMethod ?SoftwareAgent\n", "WHERE {\n", " ?ComputationalSample prov:wasGeneratedBy ?ComputationalMethod .\n", - " ?ComputationalSample prov:wasDerivedFrom ?Bundle .\n", - " ?Bundle prov:wasInfluencedBy ?SoftwareAgent .\n", + " ?ComputationalSample prov:wasGeneratedBy ?AbinitioMolecularDynamics .\n", + " ?AbinitioMolecularDynamics prov:wasAssociatedWith ?SoftwareAgent .\n", "FILTER \n", "}\n" ] diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 42d2b86..2d35c31 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -135,6 +135,7 @@ def add_term(self, uri, node_type, namespace=None, if not term.namespace in self.onto.namespaces.keys(): raise ValueError("Namespace not found, first add namespace") self.onto.attributes[node_type][term.name] = term + self._assign_attributes() def add_path(self, triple): """ diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py index 03a14a3..4b6a39b 100644 --- a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -3,15 +3,39 @@ #prov = OntologyNetwork('pyscal_rdf/data/prov.rdf', delimiter='#') def read_ontology(): - cmso = OntologyNetwork(os.path.join(os.path.dirname(__file__), "data/cmso.owl")) - pldo = OntologyNetwork(os.path.join(os.path.dirname(__file__), "data/pldo.owl")) - podo = OntologyNetwork(os.path.join(os.path.dirname(__file__), "data/podo.owl")) - - combo = cmso + pldo + podo - + #read in ontologies + cmso = OntologyNetwork('../pyscal_rdf/data/cmso.owl') + pldo = OntologyNetwork('../pyscal_rdf/data/pldo.owl') + podo = OntologyNetwork('../pyscal_rdf/data/podo.owl') + msmo = OntologyNetwork('../pyscal_rdf/data/msmo.owl') + + #combine them + combo = cmso + pldo + podo + msmo + + #add namespaces + combo.add_namespace('prov', 'http://www.w3.org/ns/prov#') + combo.add_namespace('rdf', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#') + combo.add_namespace('rdfs', 'http://www.w3.org/2000/01/rdf-schema#') + + #add extra terms for quering + combo.add_term('http://www.w3.org/ns/prov#Entity', 'class', delimiter='#') + combo.add_term('http://www.w3.org/ns/prov#Activity', 'class', delimiter='#') + combo.add_term('http://www.w3.org/ns/prov#SoftwareAgent', 'class', delimiter='#') + combo.add_term('http://www.w3.org/ns/prov#wasDerivedFrom', 'object_property', delimiter='#') + combo.add_term('http://www.w3.org/ns/prov#wasGeneratedBy', 'object_property', delimiter='#') + combo.add_term('http://www.w3.org/ns/prov#wasAssociatedWith', 'object_property', delimiter='#') + combo.add_term('http://www.w3.org/ns/prov#actedOnBehalfOf', 'object_property', delimiter='#') + combo.add_term('http://www.w3.org/2000/01/rdf-schema#label', 'data_property', delimiter='#', namespace='rdfs') + combo.add_term('http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'object_property', delimiter='#', namespace='rdf') combo.add_path(('cmso:Material', 'cmso:hasDefect', 'pldo:PlanarDefect')) combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy')) combo.add_path(('cmso:SimulationCell', 'podo:hasVacancyConcentration', 'float')) combo.add_path(('cmso:SimulationCell', 'podo:hasNumberOfVacancies', 'int')) - combo.add_path(('cmso:SimulationCell', 'prov:wasDerivedFrom', 'cmso:SimulationCell')) + combo.add_path(('cmso:ComputationalSample', 'prov:wasDerivedFrom', 'cmso:ComputationalSample')) + combo.add_path(('cmso:ComputationalSample', 'prov:wasGeneratedBy', 'msmo:ComputationalMethod')) + combo.add_path(('msmo:ComputationalMethod', 'prov:wasAssociatedWith', 'prov:SoftwareAgent')) + combo.add_path(('cmso:ComputationalSample', 'rdf:type', 'prov:Entity')) + combo.add_path(('msmo:ComputationalMethod', 'rdf:type', 'prov:Activity')) + + #return return combo \ No newline at end of file From 1eec30ec5eeec5991ad9cbfa26e6b04beb525e7c Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 08:19:21 +0100 Subject: [PATCH 27/49] add possibility to override namespace --- examples/01_getting_started.ipynb | 20 ++- notebooks/ontology_path.ipynb | 270 +++++++++++++++++++++++++++++- pyscal_rdf/network/ontology.py | 2 + pyscal_rdf/network/term.py | 74 ++++---- 4 files changed, 321 insertions(+), 45 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index aa85733..bf62964 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -51,7 +51,23 @@ "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "rdf:type not found in self.attributes", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m g \u001b[38;5;241m=\u001b[39m \u001b[43mStructureGraph\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/structure.py:103\u001b[0m, in \u001b[0;36mStructureGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, graph_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 99\u001b[0m store\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMemory\u001b[39m\u001b[38;5;124m\"\u001b[39m, \n\u001b[1;32m 100\u001b[0m store_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 101\u001b[0m identifier\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttp://default_graph\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgraph_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgraph_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midentifier\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43midentifier\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_element_dict \u001b[38;5;241m=\u001b[39m element_dict\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_structure_dict \u001b[38;5;241m=\u001b[39m structure_dict\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/graph.py:104\u001b[0m, in \u001b[0;36mRDFGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msysdict \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msgraph \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39montology \u001b[38;5;241m=\u001b[39m \u001b[43mread_ontology\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_atom_ids \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/ontology.py:37\u001b[0m, in \u001b[0;36mread_ontology\u001b[0;34m()\u001b[0m\n\u001b[1;32m 35\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcmso:ComputationalSample\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasGeneratedBy\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 36\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:SoftwareAgent\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[0;32m---> 37\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mcmso:ComputationalSample\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrdf:type\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mprov:Entity\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 38\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrdf:type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:Activity\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 40\u001b[0m \u001b[38;5;66;03m#return\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:175\u001b[0m, in \u001b[0;36mOntologyNetwork.add_path\u001b[0;34m(self, triple)\u001b[0m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg\u001b[38;5;241m.\u001b[39madd_edge(pred, data_node)\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 175\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpred\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found in self.attributes\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mValueError\u001b[0m: rdf:type not found in self.attributes" + ] + } + ], "source": [ "g = StructureGraph()" ] @@ -4451,7 +4467,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/notebooks/ontology_path.ipynb b/notebooks/ontology_path.ipynb index 25b464a..0c5c26b 100644 --- a/notebooks/ontology_path.ipynb +++ b/notebooks/ontology_path.ipynb @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "abe9c395-6b88-450a-a447-0d3d43439f9c", "metadata": {}, "outputs": [ @@ -82,7 +82,7 @@ " 'rdfs': 'http://www.w3.org/2000/01/rdf-schema#'}" ] }, - "execution_count": 5, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -93,7 +93,254 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, + "id": "90ebc73c-37ce-48dd-bd33-f4385c7262e7", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'class': {'cmso:SimulationCell': cmso:SimulationCell,\n", + " 'cmso:UnitCell': cmso:UnitCell,\n", + " 'cmso:Angle': cmso:Angle,\n", + " 'cmso:LatticeAngle': cmso:LatticeAngle,\n", + " 'cmso:SimulationCellAngle': cmso:SimulationCellAngle,\n", + " 'cmso:AtomicScaleSample': cmso:AtomicScaleSample,\n", + " 'cmso:Atom': cmso:Atom,\n", + " 'cmso:Basis': cmso:Basis,\n", + " 'cmso:ComputationalSample': cmso:ComputationalSample,\n", + " 'cmso:MacroscaleSample': cmso:MacroscaleSample,\n", + " 'cmso:MesoscaleSample': cmso:MesoscaleSample,\n", + " 'cmso:MicroscaleSample': cmso:MicroscaleSample,\n", + " 'cmso:NanoscaleSample': cmso:NanoscaleSample,\n", + " 'cmso:CalculatedProperty': cmso:CalculatedProperty,\n", + " 'cmso:CrystallineMaterial': cmso:CrystallineMaterial,\n", + " 'cmso:CrystalDefect': cmso:CrystalDefect,\n", + " 'cmso:ChemicalSpecies': cmso:ChemicalSpecies,\n", + " 'cmso:Molecule': cmso:Molecule,\n", + " 'cmso:ChemicalElement': cmso:ChemicalElement,\n", + " 'cmso:LatticeParameter': cmso:LatticeParameter,\n", + " 'cmso:Length': cmso:Length,\n", + " 'cmso:SimulationCellLength': cmso:SimulationCellLength,\n", + " 'cmso:Material': cmso:Material,\n", + " 'cmso:AmorphousMaterial': cmso:AmorphousMaterial,\n", + " 'cmso:PositionVector': cmso:PositionVector,\n", + " 'cmso:CrystalStructure': cmso:CrystalStructure,\n", + " 'cmso:SpaceGroup': cmso:SpaceGroup,\n", + " 'cmso:Structure': cmso:Structure,\n", + " 'cmso:Microstructure': cmso:Microstructure,\n", + " 'cmso:Vector': cmso:Vector,\n", + " 'cmso:LatticeVector': cmso:LatticeVector,\n", + " 'cmso:SimulationCellVector': cmso:SimulationCellVector,\n", + " 'qudt:Unit': qudt:Unit,\n", + " 'pldo:MixedGrainBoundary': pldo:MixedGrainBoundary,\n", + " 'pldo:TiltGrainBoundary': pldo:TiltGrainBoundary,\n", + " 'pldo:SymmetricalTiltGrainBoundary': pldo:SymmetricalTiltGrainBoundary,\n", + " 'pldo:TwistGrainBoundary': pldo:TwistGrainBoundary,\n", + " 'pldo:GrainBoundary': pldo:GrainBoundary,\n", + " 'pldo:LowAngleGrainBoundary': pldo:LowAngleGrainBoundary,\n", + " 'pldo:AntiphaseBoundary': pldo:AntiphaseBoundary,\n", + " 'pldo:PlanarDefect': pldo:PlanarDefect,\n", + " 'pldo:StackingFault': pldo:StackingFault,\n", + " 'pldo:Surface': pldo:Surface,\n", + " 'pldo:TwinBoundary': pldo:TwinBoundary,\n", + " 'podo:AntisiteDefect': podo:AntisiteDefect,\n", + " 'podo:PointDefect': podo:PointDefect,\n", + " 'podo:FrenkelDefect': podo:FrenkelDefect,\n", + " 'podo:Impurity': podo:Impurity,\n", + " 'podo:Interstitial': podo:Interstitial,\n", + " 'podo:SchottkyDefect': podo:SchottkyDefect,\n", + " 'podo:Vacancy': podo:Vacancy,\n", + " 'podo:InterstitialImpurity': podo:InterstitialImpurity,\n", + " 'podo:SubstitutionalImpurity': podo:SubstitutionalImpurity,\n", + " 'podo:Self-interstitial': podo:Self-interstitial,\n", + " 'msmo:ComputationalMethod': msmo:ComputationalMethod,\n", + " 'msmo:AtomisticMethod': msmo:AtomisticMethod,\n", + " 'msmo:MonteCarloMethod': msmo:MonteCarloMethod,\n", + " 'msmo:DensityFunctionalTheory': msmo:DensityFunctionalTheory,\n", + " 'msmo:MolecularDynamics': msmo:MolecularDynamics,\n", + " 'msmo:AbinitioMolecularDynamics': msmo:AbinitioMolecularDynamics,\n", + " 'msmo:KineticMonteCarloMethod': msmo:KineticMonteCarloMethod,\n", + " 'msmo:MolecularDynamicsMinimization': msmo:MolecularDynamicsMinimization,\n", + " 'msmo:MolecularDynamicsNPT': msmo:MolecularDynamicsNPT,\n", + " 'msmo:MolecularDynamicsNVT': msmo:MolecularDynamicsNVT,\n", + " 'msmo:Calculation': msmo:Calculation,\n", + " 'prov:Entity': prov:Entity,\n", + " 'prov:Activity': prov:Activity,\n", + " 'prov:SoftwareAgent': prov:SoftwareAgent},\n", + " 'object_property': {'cmso:hasAngle': cmso:hasAngle,\n", + " 'cmso:hasAtom': cmso:hasAtom,\n", + " 'cmso:hasBasis': cmso:hasBasis,\n", + " 'cmso:hasCalculatedProperty': cmso:hasCalculatedProperty,\n", + " 'cmso:isCalculatedPropertyOf': cmso:isCalculatedPropertyOf,\n", + " 'cmso:hasDefect': cmso:hasDefect,\n", + " 'cmso:isDefectOf': cmso:isDefectOf,\n", + " 'cmso:hasElement': cmso:hasElement,\n", + " 'cmso:hasLatticeParameter': cmso:hasLatticeParameter,\n", + " 'cmso:hasLength': cmso:hasLength,\n", + " 'cmso:hasMaterial': cmso:hasMaterial,\n", + " 'cmso:isMaterialOf': cmso:isMaterialOf,\n", + " 'cmso:hasPositionVector': cmso:hasPositionVector,\n", + " 'cmso:hasVector': cmso:hasVector,\n", + " 'cmso:hasSimulationCell': cmso:hasSimulationCell,\n", + " 'cmso:hasSpaceGroup': cmso:hasSpaceGroup,\n", + " 'cmso:hasSpecies': cmso:hasSpecies,\n", + " 'cmso:hasStructure': cmso:hasStructure,\n", + " 'cmso:hasUnit': cmso:hasUnit,\n", + " 'cmso:hasUnitCell': cmso:hasUnitCell,\n", + " 'pldo:hasTiltComponent': pldo:hasTiltComponent,\n", + " 'pldo:hasTwistComponent': pldo:hasTwistComponent,\n", + " 'prov:wasDerivedFrom': prov:wasDerivedFrom,\n", + " 'prov:wasGeneratedBy': prov:wasGeneratedBy,\n", + " 'prov:wasAssociatedWith': prov:wasAssociatedWith,\n", + " 'prov:actedOnBehalfOf': prov:actedOnBehalfOf,\n", + " '22-rdf-syntax-ns:type': 22-rdf-syntax-ns:type},\n", + " 'data_property': {'cmso:hasAltName': cmso:hasAltName,\n", + " 'cmso:hasName': cmso:hasName,\n", + " 'cmso:hasAngle_alpha': cmso:hasAngle_alpha,\n", + " 'cmso:hasAngle_beta': cmso:hasAngle_beta,\n", + " 'cmso:hasAngle_gamma': cmso:hasAngle_gamma,\n", + " 'cmso:hasChemicalSymbol': cmso:hasChemicalSymbol,\n", + " 'cmso:hasSymbol': cmso:hasSymbol,\n", + " 'cmso:hasComponent_x': cmso:hasComponent_x,\n", + " 'cmso:hasComponent_y': cmso:hasComponent_y,\n", + " 'cmso:hasComponent_z': cmso:hasComponent_z,\n", + " 'cmso:hasCoordinationNumber': cmso:hasCoordinationNumber,\n", + " 'cmso:hasElementRatio': cmso:hasElementRatio,\n", + " 'cmso:hasLength_x': cmso:hasLength_x,\n", + " 'cmso:hasLength_y': cmso:hasLength_y,\n", + " 'cmso:hasLength_z': cmso:hasLength_z,\n", + " 'cmso:hasNumberOfAtoms': cmso:hasNumberOfAtoms,\n", + " 'cmso:hasReference': cmso:hasReference,\n", + " 'cmso:hasRepetition_x': cmso:hasRepetition_x,\n", + " 'cmso:hasRepetition_y': cmso:hasRepetition_y,\n", + " 'cmso:hasRepetition_z': cmso:hasRepetition_z,\n", + " 'cmso:hasSpaceGroupNumber': cmso:hasSpaceGroupNumber,\n", + " 'cmso:hasSpaceGroupSymbol': cmso:hasSpaceGroupSymbol,\n", + " 'cmso:hasValue': cmso:hasValue,\n", + " 'cmso:hasVolume': cmso:hasVolume,\n", + " 'pldo:geometricalDegreesOfFreedom': pldo:geometricalDegreesOfFreedom,\n", + " 'pldo:hasGBplane': pldo:hasGBplane,\n", + " 'pldo:macroscopicDegreesOfFreedom': pldo:macroscopicDegreesOfFreedom,\n", + " 'pldo:hasMisorientationAngle': pldo:hasMisorientationAngle,\n", + " 'pldo:hasRotationAxis': pldo:hasRotationAxis,\n", + " 'pldo:hasSigmaValue': pldo:hasSigmaValue,\n", + " 'pldo:microscopicDegreesOfFreedom': pldo:microscopicDegreesOfFreedom,\n", + " 'podo:hasNumberOfVacancies': podo:hasNumberOfVacancies,\n", + " 'podo:hasVacancyConcentration': podo:hasVacancyConcentration,\n", + " 'rdf-schema:label': rdf-schema:label},\n", + " 'data_node': ['cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'pldo:hasGBplanevalue',\n", + " 'pldo:hasMisorientationAnglevalue',\n", + " 'pldo:hasRotationAxisvalue',\n", + " 'pldo:hasSigmaValuevalue',\n", + " 'cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'pldo:hasGBplanevalue',\n", + " 'pldo:hasMisorientationAnglevalue',\n", + " 'pldo:hasRotationAxisvalue',\n", + " 'pldo:hasSigmaValuevalue',\n", + " 'cmso:hasAltNamevalue',\n", + " 'cmso:hasNamevalue',\n", + " 'cmso:hasAngle_alphavalue',\n", + " 'cmso:hasAngle_betavalue',\n", + " 'cmso:hasAngle_gammavalue',\n", + " 'cmso:hasChemicalSymbolvalue',\n", + " 'cmso:hasComponent_xvalue',\n", + " 'cmso:hasComponent_yvalue',\n", + " 'cmso:hasComponent_zvalue',\n", + " 'cmso:hasCoordinationNumbervalue',\n", + " 'cmso:hasElementRatiovalue',\n", + " 'cmso:hasLength_xvalue',\n", + " 'cmso:hasLength_yvalue',\n", + " 'cmso:hasLength_zvalue',\n", + " 'cmso:hasNumberOfAtomsvalue',\n", + " 'cmso:hasRepetition_xvalue',\n", + " 'cmso:hasRepetition_yvalue',\n", + " 'cmso:hasRepetition_zvalue',\n", + " 'cmso:hasSpaceGroupNumbervalue',\n", + " 'cmso:hasSpaceGroupSymbolvalue',\n", + " 'cmso:hasVolumevalue',\n", + " 'pldo:hasGBplanevalue',\n", + " 'pldo:hasMisorientationAnglevalue',\n", + " 'pldo:hasRotationAxisvalue',\n", + " 'pldo:hasSigmaValuevalue']}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "combo.attributes" + ] + }, + { + "cell_type": "code", + "execution_count": 5, "id": "b726d163-d708-4ced-8b8d-701950c5c517", "metadata": {}, "outputs": [], @@ -111,10 +358,23 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "ae541ef0-08f7-416e-a593-db950b99197c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "rdf:type not found in self.attributes", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcmso:ComputationalSample\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasGeneratedBy\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 7\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:SoftwareAgent\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[0;32m----> 8\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mcmso:ComputationalSample\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrdf:type\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mprov:Entity\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 9\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrdf:type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:Activity\u001b[39m\u001b[38;5;124m'\u001b[39m))\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:175\u001b[0m, in \u001b[0;36mOntologyNetwork.add_path\u001b[0;34m(self, triple)\u001b[0m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg\u001b[38;5;241m.\u001b[39madd_edge(pred, data_node)\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 175\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpred\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found in self.attributes\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "\u001b[0;31mValueError\u001b[0m: rdf:type not found in self.attributes" + ] + } + ], "source": [ "combo.add_path(('cmso:Material', 'cmso:hasDefect', 'pldo:PlanarDefect'))\n", "combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy'))\n", diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py index 4b6a39b..f0e3d70 100644 --- a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -27,6 +27,8 @@ def read_ontology(): combo.add_term('http://www.w3.org/ns/prov#actedOnBehalfOf', 'object_property', delimiter='#') combo.add_term('http://www.w3.org/2000/01/rdf-schema#label', 'data_property', delimiter='#', namespace='rdfs') combo.add_term('http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'object_property', delimiter='#', namespace='rdf') + + #add paths combo.add_path(('cmso:Material', 'cmso:hasDefect', 'pldo:PlanarDefect')) combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy')) combo.add_path(('cmso:SimulationCell', 'podo:hasVacancyConcentration', 'float')) diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index ce2220a..26a9973 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -4,38 +4,39 @@ from rdflib import Namespace import numbers -def strip_name(uri, delimiter, get_what='name'): - if get_what == "name": - if delimiter == "/": - uri_split = uri.split(delimiter) - if len(uri_split)>1: - name = ":".join(uri_split[-2:]) - else: - name = uri +def _get_name(uri, delimiter): + """ + Just get name with namespace prefix + """ + uri_split = uri.split(delimiter) + name = uri_split[-1] + return name + +def _get_namespace(uri, delimiter): + if delimiter == "/": + uri_split = uri.split(delimiter) + if len(uri_split)>1: + namespace = uri_split[-2] else: - uri_split = uri.split(delimiter) - name = uri_split[-1] - uri_split = uri_split[0].split("/") - if len(uri_split)>0: - namespace = uri_split[-1] - name = ":".join([namespace, name]) - return name - - elif get_what == "namespace": - if delimiter == "/": - uri_split = uri.split(delimiter) - if len(uri_split)>1: - namespace = uri_split[-2] - else: - namespace = uri + namespace = uri + else: + uri_split = uri.split(delimiter) + uri_split = uri_split[0].split("/") + if len(uri_split)>0: + namespace = uri_split[-1] else: - uri_split = uri.split(delimiter) - uri_split = uri_split[0].split("/") - if len(uri_split)>0: - namespace = uri_split[-1] - else: - namespace = uri - return namespace + namespace = uri + return namespace + +def strip_name(uri, delimiter, get_what='name', namespace=None): + if get_what == "namespace": + return _get_namespace(uri, delimiter) + + elif get_what == "name": + if namespace is None: + namespace = _get_namespace(uri, delimiter) + name = _get_name(uri, delimiter) + return ":".join([namespace, name]) class OntoTerm: @@ -59,8 +60,6 @@ def __init__(self, uri, """ self.uri = uri - #name of the class - self._name = None #type: can be object property, data property, or class self.node_type = node_type #now we need domain and range @@ -76,6 +75,8 @@ def __init__(self, uri, self.is_range_of = [] self._condition = None self._namespace = namespace + #name of the class + self._name = None @@ -89,15 +90,12 @@ def uri(self, val): @property def name_without_prefix(self): - uri_split = self.uri.split(self.delimiter) - if len(uri_split)>0: - return uri_split[-1] - else: - return self.uri + return _get_name(self.uri, self.delimiter) @property def name(self): - return strip_name(self.uri, self.delimiter, get_what="name") + return strip_name(self.uri, self.delimiter, + namespace=self._namespace, get_what="name") @property def namespace(self): From 5c2225fabb66fc6dfaacdae4cc1360be81fcdd85 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 09:16:01 +0100 Subject: [PATCH 28/49] only add FILTER if text is present --- examples/01_getting_started.ipynb | 7798 +++++++++++++++++------------ notebooks/ontology_path.ipynb | 31 +- pyscal_rdf/network/network.py | 3 +- 3 files changed, 4528 insertions(+), 3304 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index bf62964..42f7a48 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -51,23 +51,7 @@ "metadata": { "tags": [] }, - "outputs": [ - { - "ename": "ValueError", - "evalue": "rdf:type not found in self.attributes", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m g \u001b[38;5;241m=\u001b[39m \u001b[43mStructureGraph\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/structure.py:103\u001b[0m, in \u001b[0;36mStructureGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 98\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, graph_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \n\u001b[1;32m 99\u001b[0m store\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMemory\u001b[39m\u001b[38;5;124m\"\u001b[39m, \n\u001b[1;32m 100\u001b[0m store_file\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 101\u001b[0m identifier\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttp://default_graph\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mgraph_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgraph_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstore_file\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstore_file\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43midentifier\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43midentifier\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_element_dict \u001b[38;5;241m=\u001b[39m element_dict\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_structure_dict \u001b[38;5;241m=\u001b[39m structure_dict\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/graph.py:104\u001b[0m, in \u001b[0;36mRDFGraph.__init__\u001b[0;34m(self, graph_file, store, store_file, identifier)\u001b[0m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msysdict \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 103\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msgraph \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 104\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39montology \u001b[38;5;241m=\u001b[39m \u001b[43mread_ontology\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_atom_ids \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/ontology.py:37\u001b[0m, in \u001b[0;36mread_ontology\u001b[0;34m()\u001b[0m\n\u001b[1;32m 35\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcmso:ComputationalSample\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasGeneratedBy\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 36\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:SoftwareAgent\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[0;32m---> 37\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mcmso:ComputationalSample\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrdf:type\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mprov:Entity\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 38\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrdf:type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:Activity\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 40\u001b[0m \u001b[38;5;66;03m#return\u001b[39;00m\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:175\u001b[0m, in \u001b[0;36mOntologyNetwork.add_path\u001b[0;34m(self, triple)\u001b[0m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg\u001b[38;5;241m.\u001b[39madd_edge(pred, data_node)\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 175\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpred\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found in self.attributes\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[0;31mValueError\u001b[0m: rdf:type not found in self.attributes" - ] - } - ], + "outputs": [], "source": [ "g = StructureGraph()" ] @@ -98,22 +82,14 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "3c279801-d12b-490a-9c69-ce96be831d42", "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fe\n" - ] - } - ], + "outputs": [], "source": [ - "struct_Fe = g.create_element(\"Fe\")" + "struct_Fe = g.create.element.Fe()" ] }, { @@ -124,95 +100,10 @@ "Note that when the structure is created, it is also added to the Graph automatically. We can visualise the graph." ] }, - { - "cell_type": "code", - "execution_count": 4, - "id": "79772707-5981-4ae5-8131-a7ef8455858c", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ffbd7de654694d3eb5c8b59e6550d98d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "CytoscapeWidget(cytoscape_layout={'name': 'cola', 'avoidOverlap': True, 'animate': True}, cytoscape_style=[{'s…" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "g.visualise()" - ] - }, - { - "cell_type": "markdown", - "id": "2b935f83-0970-45b5-8772-91e9a1cea966", - "metadata": {}, - "source": [ - "Now a Si diamond structure" - ] - }, { "cell_type": "code", "execution_count": 5, - "id": "6c14e7af-b5c2-46bb-a365-9ec781e612b5", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Si\n" - ] - } - ], - "source": [ - "struct_Si = g.create_element(\"Si\")" - ] - }, - { - "cell_type": "markdown", - "id": "2756366b-a9f8-46f2-8675-6d1874e3237b", - "metadata": {}, - "source": [ - "Finally, an L12 $Ni_3 Al$ structure" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "89e1aaca-34b3-472c-8002-1cc11d078f8d", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['Al', 'Ni']\n" - ] - } - ], - "source": [ - "struct_l12 = g.create_structure(\"l12\", element=['Al', 'Ni'], \n", - " lattice_constant=3.57)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "17b9ad8b-bf22-4161-9864-40fa6d224d79", + "id": "79772707-5981-4ae5-8131-a7ef8455858c", "metadata": { "tags": [] }, @@ -223,3753 +114,4860 @@ "\n", "\n", - "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "SimulationCell_3Angle\n", - "\n", - "SimulationCell_3Angle\n", + "SimulationCell_1Vector01\n", + "\n", + "SimulationCell_1Vector01\n", "\n", - "\n", + "\n", "\n", - "c9e177fe-f75f-4f03-87d7-3578e90f56d0\n", - "\n", - "90.0\n", + "f269d634-d7a4-4323-8855-5a5a93f7a875\n", + "\n", + "0.0\n", "\n", - "\n", + "\n", "\n", - "SimulationCell_3Angle->c9e177fe-f75f-4f03-87d7-3578e90f56d0\n", - "\n", - "\n", - "cmso.hasAngle_gamma\n", + "SimulationCell_1Vector01->f269d634-d7a4-4323-8855-5a5a93f7a875\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", - "\n", - "855e1ed8-edf6-4c96-aa6d-818c7c786c67\n", - "\n", - "90.0\n", + "\n", + "\n", + "977afd50-9605-4b7f-85b7-5ff9e863d60e\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "SimulationCell_3Angle->855e1ed8-edf6-4c96-aa6d-818c7c786c67\n", - "\n", - "\n", - "cmso.hasAngle_beta\n", + "\n", + "\n", + "SimulationCell_1Vector01->977afd50-9605-4b7f-85b7-5ff9e863d60e\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "cmso.SimulationCellAngle\n", - "\n", - "cmso.SimulationCellAngle\n", + "\n", + "\n", + "cmso.SimulationCellVector\n", + "\n", + "cmso.SimulationCellVector\n", "\n", - "\n", - "\n", - "SimulationCell_3Angle->cmso.SimulationCellAngle\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "SimulationCell_1Vector01->cmso.SimulationCellVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "277edf84-009a-468a-92d4-3a4c6e7749f7\n", - "\n", - "90.0\n", + "\n", + "\n", + "89e857d2-2105-445c-9ca0-26616bd5bde3\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "SimulationCell_3Angle->277edf84-009a-468a-92d4-3a4c6e7749f7\n", - "\n", - "\n", - "cmso.hasAngle_alpha\n", + "\n", + "\n", + "SimulationCell_1Vector01->89e857d2-2105-445c-9ca0-26616bd5bde3\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", + "\n", "\n", - "UnitCell_3LatticeAngle\n", - "\n", - "UnitCell_3LatticeAngle\n", + "Atom_1_0_Position\n", + "\n", + "Atom_1_0_Position\n", "\n", - "\n", + "\n", "\n", - "b82118c1-ad13-44bb-8aaa-fa417d82f50b\n", - "\n", - "90\n", + "afdf27f9-3240-4b38-98b0-165bc3e8fac5\n", + "\n", + "0.0\n", "\n", - "\n", + "\n", "\n", - "UnitCell_3LatticeAngle->b82118c1-ad13-44bb-8aaa-fa417d82f50b\n", - "\n", - "\n", - "cmso.hasAngle_gamma\n", + "Atom_1_0_Position->afdf27f9-3240-4b38-98b0-165bc3e8fac5\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", - "\n", - "cmso.LatticeAngle\n", - "\n", - "cmso.LatticeAngle\n", + "\n", + "\n", + "5ef4c9c9-ad81-4c26-9200-7b1bac64c4ef\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "UnitCell_3LatticeAngle->cmso.LatticeAngle\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_1_0_Position->5ef4c9c9-ad81-4c26-9200-7b1bac64c4ef\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "84f8e62e-89dc-478b-8cae-eee30ffb9b38\n", - "\n", - "90\n", + "\n", + "\n", + "cmso.PositionVector\n", + "\n", + "cmso.PositionVector\n", "\n", - "\n", - "\n", - "UnitCell_3LatticeAngle->84f8e62e-89dc-478b-8cae-eee30ffb9b38\n", - "\n", - "\n", - "cmso.hasAngle_beta\n", + "\n", + "\n", + "Atom_1_0_Position->cmso.PositionVector\n", + 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"\n", + "subClassOf\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -4012,7 +5010,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 20, "id": "8ffe7592-4349-4c46-bf40-7edea50c652c", "metadata": { "tags": [] @@ -4020,7 +5018,7 @@ "outputs": [], "source": [ "query = \"\"\"\n", - "PREFIX cmso: \n", + "PREFIX cmso: \n", "SELECT DISTINCT ?symbol\n", "WHERE {\n", " ?sample cmso:hasNumberOfAtoms ?number .\n", @@ -4033,14 +5031,14 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 21, "id": "4a8eba1e-3ffb-4129-8818-5caf8ce0de4b", "metadata": { "tags": [] }, "outputs": [], "source": [ - "res = g.graph.query(query)" + "res = g.query(query)" ] }, { @@ -4053,23 +5051,251 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 22, "id": "f4b6f799-ff85-45c7-a318-f2598a32a48c", "metadata": { "tags": [] }, + "outputs": [ + { + "data": { + "text/html": [ + "
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symbol
0Pm-3m
\n", + "
" + ], + "text/plain": [ + " symbol\n", + "0 Pm-3m" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "7eb3ab07-aa83-4ed7-bcfd-52ec0362ee74", + "metadata": {}, + "outputs": [], + "source": [ + "query2 = \"\"\"\n", + "PREFIX cmso: \n", + "PREFIX qudt: \n", + "PREFIX pldo: \n", + "PREFIX podo: \n", + "PREFIX msmo: \n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "PREFIX rdf: \n", + "SELECT DISTINCT ?hasSpaceGroupSymbolvalue\n", + "WHERE {\n", + " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", + " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", + " ?CrystalStructure cmso:hasSpaceGroup ?SpaceGroup .\n", + " ?SpaceGroup cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", + "}\n", + "\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "5a3a85ec-4fb5-41b1-8aaa-44fc097d5723", + "metadata": {}, + "outputs": [], + "source": [ + "res = g.query(query)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "b9b54ed5-cfd2-472d-9107-cbff36cad128", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
symbol
0Pm-3m
\n", + "
" + ], + "text/plain": [ + " symbol\n", + "0 Pm-3m" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res" + ] + }, + { + "cell_type": "markdown", + "id": "364e624f-66f9-4a56-b54d-dfe011b1c6da", + "metadata": {}, + "source": [ + "The query system can also be used without experience in SPARQL, or deep knowledge about the ontology terms." + ] + }, + { + "cell_type": "markdown", + "id": "f1080bfc-783c-4c35-8700-935051be4403", + "metadata": {}, + "source": [ + "First how this looks like:" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "8e339c3c-946e-4020-8051-a036cce4879c", + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Pm-3m\n" + "PREFIX cmso: \n", + "PREFIX qudt: \n", + "PREFIX pldo: \n", + "PREFIX podo: \n", + "PREFIX msmo: \n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "PREFIX rdf: \n", + "SELECT DISTINCT ?hasSpaceGroupSymbolvalue\n", + "WHERE {\n", + " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", + " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", + " ?CrystalStructure cmso:hasSpaceGroup ?SpaceGroup .\n", + " ?SpaceGroup cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", + "FILTER \n", + "}\n" ] } ], "source": [ - "for r in res:\n", - " print(r[0])" + "print(g.ontology.create_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasSpaceGroupSymbol))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
hasNumberOfAtomsvalue
04
\n", + "
" + ], + "text/plain": [ + " hasNumberOfAtomsvalue\n", + "0 4" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasNumberOfAtoms, \n", + " condition=(g.ontology.terms.cmso.hasNumberOfAtoms==4))" ] }, { @@ -4082,7 +5308,17 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, + "id": "63b1e09f-3182-4cef-9636-d35e423975cf", + "metadata": {}, + "outputs": [], + "source": [ + "g.auto_query()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "id": "098b73d2-9c35-45fe-9120-e042c2a3734b", "metadata": { "tags": [] @@ -4094,7 +5330,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 24, "id": "4bc496f1-11c8-49d0-afe2-56386a313b2d", "metadata": { "tags": [] @@ -4106,7 +5342,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 25, "id": "432be248-e367-4ef8-809b-c8987f03712e", "metadata": { "tags": [] @@ -4126,7 +5362,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 26, "id": "2914053c-7139-4b20-9198-e71cb5b8285a", "metadata": { "tags": [] @@ -4135,10 +5371,10 @@ { "data": { "text/plain": [ - "1" + "0" ] }, - "execution_count": 14, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } diff --git a/notebooks/ontology_path.ipynb b/notebooks/ontology_path.ipynb index 0c5c26b..7b037fb 100644 --- a/notebooks/ontology_path.ipynb +++ b/notebooks/ontology_path.ipynb @@ -65,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "abe9c395-6b88-450a-a447-0d3d43439f9c", "metadata": {}, "outputs": [ @@ -82,7 +82,7 @@ " 'rdfs': 'http://www.w3.org/2000/01/rdf-schema#'}" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -93,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "90ebc73c-37ce-48dd-bd33-f4385c7262e7", "metadata": { "scrolled": true @@ -196,7 +196,7 @@ " 'prov:wasGeneratedBy': prov:wasGeneratedBy,\n", " 'prov:wasAssociatedWith': prov:wasAssociatedWith,\n", " 'prov:actedOnBehalfOf': prov:actedOnBehalfOf,\n", - " '22-rdf-syntax-ns:type': 22-rdf-syntax-ns:type},\n", + " 'rdf:type': rdf:type},\n", " 'data_property': {'cmso:hasAltName': cmso:hasAltName,\n", " 'cmso:hasName': cmso:hasName,\n", " 'cmso:hasAngle_alpha': cmso:hasAngle_alpha,\n", @@ -230,7 +230,7 @@ " 'pldo:microscopicDegreesOfFreedom': pldo:microscopicDegreesOfFreedom,\n", " 'podo:hasNumberOfVacancies': podo:hasNumberOfVacancies,\n", " 'podo:hasVacancyConcentration': podo:hasVacancyConcentration,\n", - " 'rdf-schema:label': rdf-schema:label},\n", + " 'rdfs:label': rdfs:label},\n", " 'data_node': ['cmso:hasAltNamevalue',\n", " 'cmso:hasNamevalue',\n", " 'cmso:hasAngle_alphavalue',\n", @@ -329,7 +329,7 @@ " 'pldo:hasSigmaValuevalue']}" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -340,7 +340,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "b726d163-d708-4ced-8b8d-701950c5c517", "metadata": {}, "outputs": [], @@ -358,23 +358,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "ae541ef0-08f7-416e-a593-db950b99197c", "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "rdf:type not found in self.attributes", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[6], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcmso:ComputationalSample\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasGeneratedBy\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 7\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:wasAssociatedWith\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:SoftwareAgent\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[0;32m----> 8\u001b[0m \u001b[43mcombo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mcmso:ComputationalSample\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mrdf:type\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mprov:Entity\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 9\u001b[0m combo\u001b[38;5;241m.\u001b[39madd_path((\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmsmo:ComputationalMethod\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrdf:type\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprov:Activity\u001b[39m\u001b[38;5;124m'\u001b[39m))\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:175\u001b[0m, in \u001b[0;36mOntologyNetwork.add_path\u001b[0;34m(self, triple)\u001b[0m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mg\u001b[38;5;241m.\u001b[39madd_edge(pred, data_node)\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 175\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpred\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not found in self.attributes\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[0;31mValueError\u001b[0m: rdf:type not found in self.attributes" - ] - } - ], + "outputs": [], "source": [ "combo.add_path(('cmso:Material', 'cmso:hasDefect', 'pldo:PlanarDefect'))\n", "combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy'))\n", diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 2d35c31..294a5af 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -238,7 +238,8 @@ def create_query(self, source, destinations, condition=None): if condition._condition is not None: filter_text = condition._condition - query.append(f'FILTER {filter_text}') + if filter_text != '': + query.append(f'FILTER {filter_text}') query.append('}') return '\n'.join(query) From 572a40c3f4b6cf4cf870d1a35a645aa12ba4ad93 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 09:18:42 +0100 Subject: [PATCH 29/49] add possibility to return query --- examples/01_getting_started.ipynb | 8011 ++++++++++++++--------------- pyscal_rdf/graph.py | 4 +- 2 files changed, 4008 insertions(+), 4007 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index 42f7a48..022f210 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "3c279801-d12b-490a-9c69-ce96be831d42", "metadata": { "tags": [] @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "79772707-5981-4ae5-8131-a7ef8455858c", "metadata": { "tags": [] @@ -117,1049 +117,1049 @@ "\n", "\n", - 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"\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "SimulationCell_3Length->fd609190-3db8-4282-983e-42651c84abf9\n", + "\n", + "\n", + "cmso.hasLength_y\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeParameter\n", - "\n", - "\n", - "cmso.hasLatticeParamter\n", + "\n", + "\n", + "28eb95e8-b2a1-4647-ae17-d2a70e968d5e\n", + "\n", + "3.57\n", "\n", - "\n", - "\n", - "wiki.Q851536\n", - "\n", - "wiki.Q851536\n", + "\n", + "\n", + "SimulationCell_3Length->28eb95e8-b2a1-4647-ae17-d2a70e968d5e\n", + "\n", + "\n", + "cmso.hasLength_x\n", "\n", - "\n", - "\n", - "UnitCell_1->wiki.Q851536\n", - "\n", - "\n", - "cmso.hasBravaisLattice\n", + "\n", + "\n", + "Atom_1_1->Atom_1_1_Position\n", + "\n", + "\n", + "cmso.hasPositionVector\n", "\n", - "\n", - "\n", - "UnitCell_1->cmso.UnitCell\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_1_1->cmso.Atom\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector02->cmso.SimulationCellVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_1_1_Element\n", + "\n", + "Atom_1_1_Element\n", "\n", - "\n", - "\n", - "89147379-19d7-4baa-b8a6-e9e146926fa0\n", - "\n", - "3.57\n", + "\n", + "\n", + "Atom_1_1->Atom_1_1_Element\n", + "\n", + "\n", + "cmso.hasElement\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector02->89147379-19d7-4baa-b8a6-e9e146926fa0\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "4214e288-1df6-4e6d-94fd-b09c3b137f4f\n", + "\n", + "14\n", "\n", - "\n", - "\n", - "481e68a3-3ab4-4559-b757-3c5654c68577\n", - "\n", - "0.0\n", + "\n", + "\n", + "Atom_1_1->4214e288-1df6-4e6d-94fd-b09c3b137f4f\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector02->481e68a3-3ab4-4559-b757-3c5654c68577\n", - "\n", - "\n", - "cmso.hasComponent_x\n", + "\n", + "\n", + "Atom_1_1_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "daba3dc8-cc45-473c-af50-24f4f7141c66\n", - "\n", - "0.0\n", + "\n", + "\n", + "c45e0b83-6b15-4b38-9b65-b2e1b90a7eb7\n", + "\n", + "Fe\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector02->daba3dc8-cc45-473c-af50-24f4f7141c66\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "Atom_1_1_Element->c45e0b83-6b15-4b38-9b65-b2e1b90a7eb7\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "Atom_3_1_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "SimulationCell_1Angle->cmso.SimulationCellAngle\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "e4bb7f19-8ae7-4a4b-b1c1-dcd9f2e8cee9\n", - "\n", - "Ni\n", + "\n", + "\n", + "00c1ec86-8d59-40bb-9fcd-4bfba3c5e343\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "Atom_3_1_Element->e4bb7f19-8ae7-4a4b-b1c1-dcd9f2e8cee9\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "SimulationCell_1Angle->00c1ec86-8d59-40bb-9fcd-4bfba3c5e343\n", + "\n", + "\n", + "cmso.hasAngle_beta\n", "\n", - "\n", - "\n", - "Atom_2_6->Atom_2_6_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "fa25576b-273a-4cdb-a9be-af5a584204ac\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "Atom_2_6->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "SimulationCell_1Angle->fa25576b-273a-4cdb-a9be-af5a584204ac\n", + "\n", + "\n", + "cmso.hasAngle_gamma\n", "\n", - "\n", - "\n", - "Atom_2_6->Atom_2_6_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "af4a93cf-fb47-4357-b344-94e16fa157e7\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "78dc9809-4959-47a3-8dfb-3f4b0e0812dd\n", - "\n", - "4\n", + "\n", + "\n", + "SimulationCell_1Angle->af4a93cf-fb47-4357-b344-94e16fa157e7\n", + "\n", + "\n", + "cmso.hasAngle_alpha\n", "\n", - "\n", - "\n", - "Atom_2_6->78dc9809-4959-47a3-8dfb-3f4b0e0812dd\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "Atom_2_0_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector01->cmso.SimulationCellVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "e85cc2bf-77bf-47f5-9a48-81b2cf27a4a5\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "418a7e95-e625-44aa-938b-4d57685bca31\n", - "\n", - "0.0\n", + "\n", + "\n", + "Atom_2_0_Element->e85cc2bf-77bf-47f5-9a48-81b2cf27a4a5\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector01->418a7e95-e625-44aa-938b-4d57685bca31\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "UnitCell_3->UnitCell_3LatticeParameter\n", + "\n", + "\n", + "cmso.hasLatticeParamter\n", "\n", - "\n", - "\n", - "8cf46db1-2e98-4d84-84e5-0b9eed32b0a3\n", - "\n", - "3.57\n", + "\n", + "\n", + "UnitCell_3->UnitCell_3LatticeAngle\n", + "\n", + "\n", + "cmso.hasAngle\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector01->8cf46db1-2e98-4d84-84e5-0b9eed32b0a3\n", - "\n", - "\n", - "cmso.hasComponent_x\n", + "\n", + "\n", + "UnitCell_3->cmso.UnitCell\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "5dc0f399-01d5-4b62-a2b6-2703df6642b0\n", - "\n", - "0.0\n", + "\n", + "\n", + "UnitCell_3->wiki.Q3006714\n", + "\n", + "\n", + "cmso.hasBravaisLattice\n", "\n", - "\n", - "\n", - "SimulationCell_3Vector01->5dc0f399-01d5-4b62-a2b6-2703df6642b0\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "SimulationCell_2Vector02->cmso.SimulationCellVector\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "4c506df3-9b3d-4c10-8a8f-7ca81186bae6\n", + "\n", + "0.0\n", + "\n", + "\n", + "\n", + "SimulationCell_2Vector02->4c506df3-9b3d-4c10-8a8f-7ca81186bae6\n", + "\n", + "\n", + "cmso.hasComponent_z\n", + "\n", + "\n", + "\n", + "8f92cf2e-2f96-4e82-839f-327f144754d5\n", + "\n", + "0.0\n", + "\n", + "\n", + "\n", + "SimulationCell_2Vector02->8f92cf2e-2f96-4e82-839f-327f144754d5\n", + "\n", + "\n", + "cmso.hasComponent_x\n", + "\n", + "\n", + "\n", + "49961f98-54b8-43a4-87a8-942da984bff7\n", + "\n", + "5.43\n", + "\n", + "\n", + "\n", + "SimulationCell_2Vector02->49961f98-54b8-43a4-87a8-942da984bff7\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", "\n", - "\n", + "\n", "cmso.LatticeVector\n", - "\n", - "cmso.LatticeVector\n", + "\n", + "cmso.LatticeVector\n", "\n", "\n", - "\n", + "\n", "cmso.LatticeVector->cmso.Vector\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "subClassOf\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -5010,7 +5010,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 8, "id": "8ffe7592-4349-4c46-bf40-7edea50c652c", "metadata": { "tags": [] @@ -5031,7 +5031,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 9, "id": "4a8eba1e-3ffb-4129-8818-5caf8ce0de4b", "metadata": { "tags": [] @@ -5051,7 +5051,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 10, "id": "f4b6f799-ff85-45c7-a318-f2598a32a48c", "metadata": { "tags": [] @@ -5095,7 +5095,7 @@ "0 Pm-3m" ] }, - "execution_count": 22, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -5212,7 +5212,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 11, "id": "8e339c3c-946e-4020-8051-a036cce4879c", "metadata": {}, "outputs": [ @@ -5235,7 +5235,6 @@ " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", " ?CrystalStructure cmso:hasSpaceGroup ?SpaceGroup .\n", " ?SpaceGroup cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", - "FILTER \n", "}\n" ] } @@ -5246,7 +5245,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 16, "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, "outputs": [ @@ -5288,13 +5287,13 @@ "0 4" ] }, - "execution_count": 29, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasNumberOfAtoms, \n", + "g.auto_query(g.ontology.terms.cmso.ComputationalSample, [g.ontology.terms.cmso.hasNumberOfAtoms], \n", " condition=(g.ontology.terms.cmso.hasNumberOfAtoms==4))" ] }, diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index a8a1fe1..23baed0 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -898,8 +898,10 @@ def query(self, inquery): return pd.DataFrame(res, columns=labels) raise ValueError("SPARQL query returned None") - def auto_query(self, source, destination, condition): + def auto_query(self, source, destination, condition, return_query=False): query = self.ontology.create_query(source, destination, condition) + if return_query: + return query return self.query(query) From b63e3d3f5ead72416b4a5f15dfca07e2765d3a73 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 09:53:02 +0100 Subject: [PATCH 30/49] add Alt name --- examples/01_getting_started.ipynb | 8188 ++++++++++++++--------------- pyscal_rdf/network/ontology.py | 2 + 2 files changed, 4092 insertions(+), 4098 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index 022f210..e471cb0 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "CrystalStructure_1\n", - "\n", - "CrystalStructure_1\n", + "SimulationCell_1Angle\n", + "\n", + "SimulationCell_1Angle\n", "\n", - 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"outputs": [], "source": [ - "query2 = \"\"\"\n", - "PREFIX cmso: \n", - "PREFIX qudt: \n", - "PREFIX pldo: \n", - "PREFIX podo: \n", - "PREFIX msmo: \n", - "PREFIX prov: \n", - "PREFIX rdf: \n", - "PREFIX rdfs: \n", - "PREFIX rdf: \n", - "SELECT DISTINCT ?hasSpaceGroupSymbolvalue\n", - "WHERE {\n", - " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", - " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", - " ?CrystalStructure cmso:hasSpaceGroup ?SpaceGroup .\n", - " ?SpaceGroup cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", - "}\n", - "\"\"\"" + "The query system can also be used without experience in SPARQL, or deep knowledge about the ontology terms." ] }, { - "cell_type": "code", - "execution_count": 33, - "id": "5a3a85ec-4fb5-41b1-8aaa-44fc097d5723", + "cell_type": "markdown", + "id": "f1080bfc-783c-4c35-8700-935051be4403", "metadata": {}, - "outputs": [], "source": [ - "res = g.query(query)" + "First how this looks like:" ] }, { "cell_type": "code", - "execution_count": 34, - "id": "b9b54ed5-cfd2-472d-9107-cbff36cad128", + "execution_count": 23, + "id": "8e339c3c-946e-4020-8051-a036cce4879c", "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
symbol
0Pm-3m
\n", - "
" - ], - "text/plain": [ - " symbol\n", - "0 Pm-3m" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" + "ename": "NetworkXNoPath", + "evalue": "No path between cmso:ComputationalSample and cmso:hasAltNamevalue.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNetworkXNoPath\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[23], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43montology\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_query\u001b[49m\u001b[43m(\u001b[49m\u001b[43mg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43montology\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mterms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcmso\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mComputationalSample\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43montology\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mterms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcmso\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhasAltName\u001b[49m\u001b[43m)\u001b[49m)\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:218\u001b[0m, in \u001b[0;36mOntologyNetwork.create_query\u001b[0;34m(self, source, destinations, condition)\u001b[0m\n\u001b[1;32m 216\u001b[0m all_triplets \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 217\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m destination \u001b[38;5;129;01min\u001b[39;00m destination_names:\n\u001b[0;32m--> 218\u001b[0m triplets \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_shortest_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdestination\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtriples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 219\u001b[0m all_triplets[destination] \u001b[38;5;241m=\u001b[39m triplets\n\u001b[1;32m 221\u001b[0m select_destinations \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m?\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstrip_name(destination)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m destination \u001b[38;5;129;01min\u001b[39;00m destination_names]\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:81\u001b[0m, in \u001b[0;36mOntologyNetwork.get_shortest_path\u001b[0;34m(self, source, target, triples)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_shortest_path\u001b[39m(\u001b[38;5;28mself\u001b[39m, source, target, triples\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[0;32m---> 81\u001b[0m path \u001b[38;5;241m=\u001b[39m \u001b[43mnx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshortest_path\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtarget\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtarget\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 82\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m triples:\n\u001b[1;32m 83\u001b[0m triple_list \u001b[38;5;241m=\u001b[39m []\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/utils/backends.py:412\u001b[0m, in \u001b[0;36m_dispatch.__call__\u001b[0;34m(self, backend, *args, **kwargs)\u001b[0m\n\u001b[1;32m 409\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m/\u001b[39m, \u001b[38;5;241m*\u001b[39margs, backend\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 410\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m backends:\n\u001b[1;32m 411\u001b[0m \u001b[38;5;66;03m# Fast path if no backends are installed\u001b[39;00m\n\u001b[0;32m--> 412\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morig_func\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;66;03m# Use `backend_name` in this function instead of `backend`\u001b[39;00m\n\u001b[1;32m 415\u001b[0m backend_name \u001b[38;5;241m=\u001b[39m backend\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/algorithms/shortest_paths/generic.py:173\u001b[0m, in \u001b[0;36mshortest_path\u001b[0;34m(G, source, target, weight, method)\u001b[0m\n\u001b[1;32m 170\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 171\u001b[0m \u001b[38;5;66;03m# Find shortest source-target path.\u001b[39;00m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munweighted\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 173\u001b[0m paths \u001b[38;5;241m=\u001b[39m \u001b[43mnx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbidirectional_shortest_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43mG\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdijkstra\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 175\u001b[0m _, paths \u001b[38;5;241m=\u001b[39m nx\u001b[38;5;241m.\u001b[39mbidirectional_dijkstra(G, source, target, weight)\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/utils/backends.py:412\u001b[0m, in \u001b[0;36m_dispatch.__call__\u001b[0;34m(self, backend, *args, **kwargs)\u001b[0m\n\u001b[1;32m 409\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m/\u001b[39m, \u001b[38;5;241m*\u001b[39margs, backend\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 410\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m backends:\n\u001b[1;32m 411\u001b[0m \u001b[38;5;66;03m# Fast path if no backends are installed\u001b[39;00m\n\u001b[0;32m--> 412\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morig_func\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;66;03m# Use `backend_name` in this function instead of `backend`\u001b[39;00m\n\u001b[1;32m 415\u001b[0m backend_name \u001b[38;5;241m=\u001b[39m backend\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/algorithms/shortest_paths/unweighted.py:241\u001b[0m, in \u001b[0;36mbidirectional_shortest_path\u001b[0;34m(G, source, target)\u001b[0m\n\u001b[1;32m 238\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m nx\u001b[38;5;241m.\u001b[39mNodeNotFound(msg)\n\u001b[1;32m 240\u001b[0m \u001b[38;5;66;03m# call helper to do the real work\u001b[39;00m\n\u001b[0;32m--> 241\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43m_bidirectional_pred_succ\u001b[49m\u001b[43m(\u001b[49m\u001b[43mG\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 242\u001b[0m pred, succ, w \u001b[38;5;241m=\u001b[39m results\n\u001b[1;32m 244\u001b[0m \u001b[38;5;66;03m# build path from pred+w+succ\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/algorithms/shortest_paths/unweighted.py:309\u001b[0m, in \u001b[0;36m_bidirectional_pred_succ\u001b[0;34m(G, source, target)\u001b[0m\n\u001b[1;32m 306\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m w \u001b[38;5;129;01min\u001b[39;00m pred: \u001b[38;5;66;03m# found path\u001b[39;00m\n\u001b[1;32m 307\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pred, succ, w\n\u001b[0;32m--> 309\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m nx\u001b[38;5;241m.\u001b[39mNetworkXNoPath(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo path between \u001b[39m\u001b[38;5;132;01m{\u001b[39;00msource\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtarget\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mNetworkXNoPath\u001b[0m: No path between cmso:ComputationalSample and cmso:hasAltNamevalue." + ] } ], "source": [ - "res" + "print(g.ontology.create_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName))" ] }, { - "cell_type": "markdown", - "id": "364e624f-66f9-4a56-b54d-dfe011b1c6da", + "cell_type": "code", + "execution_count": 14, + "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, + "outputs": [], "source": [ - "The query system can also be used without experience in SPARQL, or deep knowledge about the ontology terms." + " q = g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", + " condition=(g.ontology.terms.cmso.hasNumberOfAtoms==4), return_query=True)" ] }, { - "cell_type": "markdown", - "id": "f1080bfc-783c-4c35-8700-935051be4403", - "metadata": {}, + "cell_type": "code", + "execution_count": 8, + "id": "29808083-40aa-461c-b245-45d8fe0828df", + "metadata": { + "tags": [] + }, + "outputs": [], "source": [ - "First how this looks like:" + "query = \"\"\"\n", + "PREFIX cmso: \n", + "SELECT DISTINCT ?symbol\n", + "WHERE {\n", + " ?sample cmso:hasNumberOfAtoms ?number .\n", + " ?sample cmso:hasMaterial ?material .\n", + " ?material cmso:hasStructure ?structure .\n", + " ?structure cmso:hasSpaceGroupSymbol ?symbol .\n", + "FILTER (?number=\"4\"^^xsd:integer)\n", + "}\"\"\"" ] }, { "cell_type": "code", - "execution_count": 11, - "id": "8e339c3c-946e-4020-8051-a036cce4879c", + "execution_count": 15, + "id": "04c12aba-8168-49e4-b430-0f22b9b5d614", "metadata": {}, "outputs": [ { @@ -5229,24 +5200,26 @@ "PREFIX rdf: \n", "PREFIX rdfs: \n", "PREFIX rdf: \n", - "SELECT DISTINCT ?hasSpaceGroupSymbolvalue\n", + "SELECT DISTINCT ?hasSpaceGroupSymbolvalue ?hasNumberOfAtomsvalue\n", "WHERE {\n", " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", " ?CrystalStructure cmso:hasSpaceGroup ?SpaceGroup .\n", " ?SpaceGroup cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", + " ?ComputationalSample cmso:hasNumberOfAtoms ?hasNumberOfAtomsvalue .\n", + "FILTER (?hasNumberOfAtomsvalue=\"4\"^^xsd:int)\n", "}\n" ] } ], "source": [ - "print(g.ontology.create_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasSpaceGroupSymbol))" + "print(q)" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", + "execution_count": 22, + "id": "506155a1-0e8d-421d-a3f7-9e4b0d072aff", "metadata": {}, "outputs": [ { @@ -5270,12 +5243,14 @@ " \n", " \n", " \n", + " hasSpaceGroupSymbolvalue\n", " hasNumberOfAtomsvalue\n", " \n", " \n", " \n", " \n", " 0\n", + " Pm-3m\n", " 4\n", " \n", " \n", @@ -5283,18 +5258,35 @@ "" ], "text/plain": [ - " hasNumberOfAtomsvalue\n", - "0 4" + " hasSpaceGroupSymbolvalue hasNumberOfAtomsvalue\n", + "0 Pm-3m 4" ] }, - "execution_count": 16, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "g.auto_query(g.ontology.terms.cmso.ComputationalSample, [g.ontology.terms.cmso.hasNumberOfAtoms], \n", - " condition=(g.ontology.terms.cmso.hasNumberOfAtoms==4))" + "q=\"\"\"\n", + "PREFIX cmso: \n", + "PREFIX qudt: \n", + "PREFIX pldo: \n", + "PREFIX podo: \n", + "PREFIX msmo: \n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "SELECT DISTINCT ?hasSpaceGroupSymbolvalue ?hasNumberOfAtomsvalue\n", + "WHERE {\n", + " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", + " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", + " ?CrystalStructure cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", + " ?ComputationalSample cmso:hasNumberOfAtoms ?hasNumberOfAtomsvalue .\n", + "FILTER (?hasNumberOfAtomsvalue=\"4\"^^xsd:int)\n", + "}\n", + "\"\"\"\n", + "g.query(q)" ] }, { diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py index f0e3d70..02773cd 100644 --- a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -38,6 +38,8 @@ def read_ontology(): combo.add_path(('msmo:ComputationalMethod', 'prov:wasAssociatedWith', 'prov:SoftwareAgent')) combo.add_path(('cmso:ComputationalSample', 'rdf:type', 'prov:Entity')) combo.add_path(('msmo:ComputationalMethod', 'rdf:type', 'prov:Activity')) + #for Alt Name, maybe this should not be here + combo.add_path(('cmso:CrystalStructure', 'cmso:hasAltName', 'string')) #return return combo \ No newline at end of file From d726a883ef01d56b9380555dbde7f704ca0c005a Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 09:53:51 +0100 Subject: [PATCH 31/49] remove double namespaces --- pyscal_rdf/network/parser.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/pyscal_rdf/network/parser.py b/pyscal_rdf/network/parser.py index f3249d1..e292c52 100644 --- a/pyscal_rdf/network/parser.py +++ b/pyscal_rdf/network/parser.py @@ -23,8 +23,7 @@ def __init__(self, infile, delimiter='/'): self.delimiter = delimiter self.classes = None self.namespaces = {self.tree.name: self.tree.base_iri} - self.extra_namespaces = {'rdf': 'http://www.w3.org/1999/02/22-rdf-syntax-ns#', - } + self.extra_namespaces = {} self._parse_class() #print(self.attributes) self._parse_object_property() From ca77cdc93f03c3548bc78080c049e741fef245be Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 09:55:35 +0100 Subject: [PATCH 32/49] add optional selection of ontology --- pyscal_rdf/graph.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index 23baed0..c221c0b 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -56,7 +56,8 @@ class RDFGraph: def __init__(self, graph_file=None, store="Memory", store_file=None, - identifier="http://default_graph"): + identifier="http://default_graph", + ontology=None): self.store_file = store_file #owlfile = os.path.join(os.path.dirname(__file__), "data/cmso.owl") @@ -101,7 +102,9 @@ def __init__(self, graph_file=None, self.material = None self.sysdict = None self.sgraph = None - self.ontology = read_ontology() + if ontology is None: + ontology = read_ontology() + self.ontology = ontology self._atom_ids = None From 9d514a5886f3e8f7211210fcaa820eabeeaa4bf8 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 09:56:27 +0100 Subject: [PATCH 33/49] remove workflow terms from inbuilt ontology --- pyscal_rdf/network/ontology.py | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py index 02773cd..2636c90 100644 --- a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -7,24 +7,24 @@ def read_ontology(): cmso = OntologyNetwork('../pyscal_rdf/data/cmso.owl') pldo = OntologyNetwork('../pyscal_rdf/data/pldo.owl') podo = OntologyNetwork('../pyscal_rdf/data/podo.owl') - msmo = OntologyNetwork('../pyscal_rdf/data/msmo.owl') + #msmo = OntologyNetwork('../pyscal_rdf/data/msmo.owl') #combine them combo = cmso + pldo + podo + msmo #add namespaces - combo.add_namespace('prov', 'http://www.w3.org/ns/prov#') + #combo.add_namespace('prov', 'http://www.w3.org/ns/prov#') combo.add_namespace('rdf', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#') combo.add_namespace('rdfs', 'http://www.w3.org/2000/01/rdf-schema#') #add extra terms for quering - combo.add_term('http://www.w3.org/ns/prov#Entity', 'class', delimiter='#') - combo.add_term('http://www.w3.org/ns/prov#Activity', 'class', delimiter='#') - combo.add_term('http://www.w3.org/ns/prov#SoftwareAgent', 'class', delimiter='#') - combo.add_term('http://www.w3.org/ns/prov#wasDerivedFrom', 'object_property', delimiter='#') - combo.add_term('http://www.w3.org/ns/prov#wasGeneratedBy', 'object_property', delimiter='#') - combo.add_term('http://www.w3.org/ns/prov#wasAssociatedWith', 'object_property', delimiter='#') - combo.add_term('http://www.w3.org/ns/prov#actedOnBehalfOf', 'object_property', delimiter='#') + #combo.add_term('http://www.w3.org/ns/prov#Entity', 'class', delimiter='#') + #combo.add_term('http://www.w3.org/ns/prov#Activity', 'class', delimiter='#') + #combo.add_term('http://www.w3.org/ns/prov#SoftwareAgent', 'class', delimiter='#') + #combo.add_term('http://www.w3.org/ns/prov#wasDerivedFrom', 'object_property', delimiter='#') + #combo.add_term('http://www.w3.org/ns/prov#wasGeneratedBy', 'object_property', delimiter='#') + #combo.add_term('http://www.w3.org/ns/prov#wasAssociatedWith', 'object_property', delimiter='#') + #combo.add_term('http://www.w3.org/ns/prov#actedOnBehalfOf', 'object_property', delimiter='#') combo.add_term('http://www.w3.org/2000/01/rdf-schema#label', 'data_property', delimiter='#', namespace='rdfs') combo.add_term('http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'object_property', delimiter='#', namespace='rdf') @@ -33,11 +33,11 @@ def read_ontology(): combo.add_path(('cmso:Material', 'cmso:hasDefect', 'podo:Vacancy')) combo.add_path(('cmso:SimulationCell', 'podo:hasVacancyConcentration', 'float')) combo.add_path(('cmso:SimulationCell', 'podo:hasNumberOfVacancies', 'int')) - combo.add_path(('cmso:ComputationalSample', 'prov:wasDerivedFrom', 'cmso:ComputationalSample')) - combo.add_path(('cmso:ComputationalSample', 'prov:wasGeneratedBy', 'msmo:ComputationalMethod')) - combo.add_path(('msmo:ComputationalMethod', 'prov:wasAssociatedWith', 'prov:SoftwareAgent')) + #combo.add_path(('cmso:ComputationalSample', 'prov:wasDerivedFrom', 'cmso:ComputationalSample')) + #combo.add_path(('cmso:ComputationalSample', 'prov:wasGeneratedBy', 'msmo:ComputationalMethod')) + #combo.add_path(('msmo:ComputationalMethod', 'prov:wasAssociatedWith', 'prov:SoftwareAgent')) combo.add_path(('cmso:ComputationalSample', 'rdf:type', 'prov:Entity')) - combo.add_path(('msmo:ComputationalMethod', 'rdf:type', 'prov:Activity')) + #combo.add_path(('msmo:ComputationalMethod', 'rdf:type', 'prov:Activity')) #for Alt Name, maybe this should not be here combo.add_path(('cmso:CrystalStructure', 'cmso:hasAltName', 'string')) From 321feb09a700769c6773ac2f55d2638eb343ca1d Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 09:57:55 +0100 Subject: [PATCH 34/49] fix bug --- examples/01_getting_started.ipynb | 4831 +---------------------------- pyscal_rdf/network/ontology.py | 3 +- 2 files changed, 11 insertions(+), 4823 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index e471cb0..e74327c 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "03c51660-5edd-45b9-b58b-54636709c4b0", "metadata": { "tags": [] @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "23280cd2-6de3-4caa-ae28-9cb0b4d60499", "metadata": { "tags": [] @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "3c279801-d12b-490a-9c69-ce96be831d42", "metadata": { "tags": [] @@ -102,1068 +102,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "79772707-5981-4ae5-8131-a7ef8455858c", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "SimulationCell_1Angle\n", - "\n", - "SimulationCell_1Angle\n", - "\n", - "\n", - "\n", - "cmso.SimulationCellAngle\n", - 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"source": [ "g.visualise(backend='graphviz')" ] @@ -1178,7 +122,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "6c14e7af-b5c2-46bb-a365-9ec781e612b5", "metadata": { "tags": [] @@ -1198,7 +142,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "36269260-3b07-43ed-a939-4890d281659d", "metadata": {}, "outputs": [], @@ -1209,3769 +153,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "17b9ad8b-bf22-4161-9864-40fa6d224d79", "metadata": { "tags": [] }, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Atom_1_0_Element\n", - "\n", - "Atom_1_0_Element\n", - "\n", - "\n", - "\n", - "cmso.Element\n", - "\n", - "cmso.Element\n", - "\n", - "\n", - "\n", - "Atom_1_0_Element->cmso.Element\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "7a0226b4-46d4-415b-bee2-b49cf393d625\n", - "\n", - "Fe\n", - 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a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -10,7 +10,8 @@ def read_ontology(): #msmo = OntologyNetwork('../pyscal_rdf/data/msmo.owl') #combine them - combo = cmso + pldo + podo + msmo + #combo = cmso + pldo + podo + msmo + combo = cmso + pldo + podo #add namespaces #combo.add_namespace('prov', 'http://www.w3.org/ns/prov#') From db0dcac8effa541fbc0446500f2f156d852c19f4 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 10:21:24 +0100 Subject: [PATCH 35/49] add condition as one of the destinations --- examples/01_getting_started.ipynb | 4934 ++++++++++++++++++++++++++++- pyscal_rdf/network/network.py | 9 +- pyscal_rdf/network/ontology.py | 4 +- 3 files changed, 4858 insertions(+), 89 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index e74327c..d174113 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "03c51660-5edd-45b9-b58b-54636709c4b0", "metadata": { "tags": [] @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "23280cd2-6de3-4caa-ae28-9cb0b4d60499", "metadata": { "tags": [] @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "3c279801-d12b-490a-9c69-ce96be831d42", "metadata": { "tags": [] @@ -102,12 +102,1068 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "79772707-5981-4ae5-8131-a7ef8455858c", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "image/svg+xml": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "SimulationCell_1\n", + "\n", + "SimulationCell_1\n", + "\n", + "\n", + "\n", + "fd49097b-be40-49d1-b323-e608039d7ae7\n", + "\n", + "1512.95\n", + "\n", + "\n", + "\n", + "SimulationCell_1->fd49097b-be40-49d1-b323-e608039d7ae7\n", 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"Atom_1_0_Position->cmso.PositionVector\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "aab0a660-d366-4bc5-a900-5b88849baed1\n", + "\n", + "0.0\n", + "\n", + "\n", + "\n", + "Atom_1_0_Position->aab0a660-d366-4bc5-a900-5b88849baed1\n", + "\n", + "\n", + "cmso.hasComponent_x\n", + "\n", + "\n", + "\n", + "22fd03da-ca6b-4e66-8168-46a97c44967a\n", + "\n", + "0.0\n", + "\n", + "\n", + "\n", + "Atom_1_0_Position->22fd03da-ca6b-4e66-8168-46a97c44967a\n", + "\n", + "\n", + "cmso.hasComponent_z\n", + "\n", + "\n", + "\n", + "d155672e-0bb1-4c3a-9a3d-94811020db0c\n", + "\n", + "0.0\n", + "\n", + "\n", + "\n", + "Atom_1_0_Position->d155672e-0bb1-4c3a-9a3d-94811020db0c\n", + "\n", + "\n", + "cmso.hasComponent_y\n", + "\n", + "\n", + "\n", + "UnitCell_2LatticeAngle->cmso.LatticeAngle\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "b42b3155-c7ef-4b7e-af20-5816c54acc82\n", + "\n", + "90\n", + "\n", + "\n", + "\n", + "UnitCell_2LatticeAngle->b42b3155-c7ef-4b7e-af20-5816c54acc82\n", + "\n", + "\n", + "cmso.hasAngle_alpha\n", + "\n", + "\n", + "\n", + "ba1fe2aa-edaf-442c-a06e-9ee907c5ad6d\n", + "\n", + "90\n", + "\n", + "\n", + "\n", + "UnitCell_2LatticeAngle->ba1fe2aa-edaf-442c-a06e-9ee907c5ad6d\n", + "\n", + "\n", + "cmso.hasAngle_beta\n", + "\n", + "\n", + "\n", + "1808b850-c305-4c9b-9c0f-c489a2ba9e9a\n", + "\n", + "90\n", + "\n", + "\n", + "\n", + "UnitCell_2LatticeAngle->1808b850-c305-4c9b-9c0f-c489a2ba9e9a\n", + "\n", + "\n", + "cmso.hasAngle_gamma\n", + "\n", + "\n", + "\n", + "Atom_2_2->cmso.Atom\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "Atom_2_2->Atom_2_2_Position\n", + "\n", + "\n", + "cmso.hasPositionVector\n", + "\n", + "\n", + "\n", + "Atom_2_2->Atom_2_2_Element\n", + "\n", + "\n", + "cmso.hasElement\n", + "\n", + "\n", + "\n", + "1587b2e6-0ff3-45b0-bfbf-155ef6865f22\n", + "\n", + "4\n", + "\n", + "\n", + "\n", + "Atom_2_2->1587b2e6-0ff3-45b0-bfbf-155ef6865f22\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "\n", + "Atom_2_6_Element->cmso.Element\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "6d6176ff-ee43-477f-b686-30844168b324\n", + "\n", + "Si\n", + "\n", + "\n", + "\n", + "Atom_2_6_Element->6d6176ff-ee43-477f-b686-30844168b324\n", + "\n", + "\n", + "cmso.hasSymbol\n", + "\n", + "\n", + "\n", + "cmso.LatticeVector\n", + "\n", + "cmso.LatticeVector\n", + "\n", + "\n", + "\n", + "cmso.LatticeVector->cmso.Vector\n", + "\n", + "\n", + "subClassOf\n", + "\n", + "\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "g.visualise(backend='graphviz')" ] @@ -309,26 +5122,26 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 11, "id": "8e339c3c-946e-4020-8051-a036cce4879c", "metadata": {}, "outputs": [ { - "ename": "NetworkXNoPath", - "evalue": "No path between cmso:ComputationalSample and cmso:hasAltNamevalue.", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNetworkXNoPath\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[23], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43montology\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_query\u001b[49m\u001b[43m(\u001b[49m\u001b[43mg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43montology\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mterms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcmso\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mComputationalSample\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43montology\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mterms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcmso\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhasAltName\u001b[49m\u001b[43m)\u001b[49m)\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:218\u001b[0m, in \u001b[0;36mOntologyNetwork.create_query\u001b[0;34m(self, source, destinations, condition)\u001b[0m\n\u001b[1;32m 216\u001b[0m all_triplets \u001b[38;5;241m=\u001b[39m {}\n\u001b[1;32m 217\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m destination \u001b[38;5;129;01min\u001b[39;00m destination_names:\n\u001b[0;32m--> 218\u001b[0m triplets \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_shortest_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdestination\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtriples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 219\u001b[0m all_triplets[destination] \u001b[38;5;241m=\u001b[39m triplets\n\u001b[1;32m 221\u001b[0m select_destinations \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m?\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstrip_name(destination)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m destination \u001b[38;5;129;01min\u001b[39;00m destination_names]\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/pyscal_rdf/network/network.py:81\u001b[0m, in \u001b[0;36mOntologyNetwork.get_shortest_path\u001b[0;34m(self, source, target, triples)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_shortest_path\u001b[39m(\u001b[38;5;28mself\u001b[39m, source, target, triples\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[0;32m---> 81\u001b[0m path \u001b[38;5;241m=\u001b[39m \u001b[43mnx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshortest_path\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mg\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtarget\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtarget\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 82\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m triples:\n\u001b[1;32m 83\u001b[0m triple_list \u001b[38;5;241m=\u001b[39m []\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/utils/backends.py:412\u001b[0m, in \u001b[0;36m_dispatch.__call__\u001b[0;34m(self, backend, *args, **kwargs)\u001b[0m\n\u001b[1;32m 409\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m/\u001b[39m, \u001b[38;5;241m*\u001b[39margs, backend\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 410\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m backends:\n\u001b[1;32m 411\u001b[0m \u001b[38;5;66;03m# Fast path if no backends are installed\u001b[39;00m\n\u001b[0;32m--> 412\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morig_func\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;66;03m# Use `backend_name` in this function instead of `backend`\u001b[39;00m\n\u001b[1;32m 415\u001b[0m backend_name \u001b[38;5;241m=\u001b[39m backend\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/algorithms/shortest_paths/generic.py:173\u001b[0m, in \u001b[0;36mshortest_path\u001b[0;34m(G, source, target, weight, method)\u001b[0m\n\u001b[1;32m 170\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 171\u001b[0m \u001b[38;5;66;03m# Find shortest source-target path.\u001b[39;00m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munweighted\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 173\u001b[0m paths \u001b[38;5;241m=\u001b[39m \u001b[43mnx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbidirectional_shortest_path\u001b[49m\u001b[43m(\u001b[49m\u001b[43mG\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdijkstra\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 175\u001b[0m _, paths \u001b[38;5;241m=\u001b[39m nx\u001b[38;5;241m.\u001b[39mbidirectional_dijkstra(G, source, target, weight)\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/utils/backends.py:412\u001b[0m, in \u001b[0;36m_dispatch.__call__\u001b[0;34m(self, backend, *args, **kwargs)\u001b[0m\n\u001b[1;32m 409\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m/\u001b[39m, \u001b[38;5;241m*\u001b[39margs, backend\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 410\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m backends:\n\u001b[1;32m 411\u001b[0m \u001b[38;5;66;03m# Fast path if no backends are installed\u001b[39;00m\n\u001b[0;32m--> 412\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43morig_func\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;66;03m# Use `backend_name` in this function instead of `backend`\u001b[39;00m\n\u001b[1;32m 415\u001b[0m backend_name \u001b[38;5;241m=\u001b[39m backend\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/algorithms/shortest_paths/unweighted.py:241\u001b[0m, in \u001b[0;36mbidirectional_shortest_path\u001b[0;34m(G, source, target)\u001b[0m\n\u001b[1;32m 238\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m nx\u001b[38;5;241m.\u001b[39mNodeNotFound(msg)\n\u001b[1;32m 240\u001b[0m \u001b[38;5;66;03m# call helper to do the real work\u001b[39;00m\n\u001b[0;32m--> 241\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43m_bidirectional_pred_succ\u001b[49m\u001b[43m(\u001b[49m\u001b[43mG\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtarget\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 242\u001b[0m pred, succ, w \u001b[38;5;241m=\u001b[39m results\n\u001b[1;32m 244\u001b[0m \u001b[38;5;66;03m# build path from pred+w+succ\u001b[39;00m\n", - "File \u001b[0;32m~/miniconda3/envs/rdf-wf-6/lib/python3.10/site-packages/networkx/algorithms/shortest_paths/unweighted.py:309\u001b[0m, in \u001b[0;36m_bidirectional_pred_succ\u001b[0;34m(G, source, target)\u001b[0m\n\u001b[1;32m 306\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m w \u001b[38;5;129;01min\u001b[39;00m pred: \u001b[38;5;66;03m# found path\u001b[39;00m\n\u001b[1;32m 307\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pred, succ, w\n\u001b[0;32m--> 309\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m nx\u001b[38;5;241m.\u001b[39mNetworkXNoPath(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo path between \u001b[39m\u001b[38;5;132;01m{\u001b[39;00msource\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mtarget\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "\u001b[0;31mNetworkXNoPath\u001b[0m: No path between cmso:ComputationalSample and cmso:hasAltNamevalue." + "name": "stdout", + "output_type": "stream", + "text": [ + "PREFIX cmso: \n", + "PREFIX qudt: \n", + "PREFIX pldo: \n", + "PREFIX podo: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "SELECT DISTINCT ?hasAltNamevalue\n", + "WHERE {\n", + " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", + " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", + " ?CrystalStructure cmso:hasAltName ?hasAltNamevalue .\n", + "}\n" ] } ], @@ -338,7 +5151,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, "outputs": [], @@ -349,29 +5162,8 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "29808083-40aa-461c-b245-45d8fe0828df", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "query = \"\"\"\n", - "PREFIX cmso: \n", - "SELECT DISTINCT ?symbol\n", - "WHERE {\n", - " ?sample cmso:hasNumberOfAtoms ?number .\n", - " ?sample cmso:hasMaterial ?material .\n", - " ?material cmso:hasStructure ?structure .\n", - " ?structure cmso:hasSpaceGroupSymbol ?symbol .\n", - "FILTER (?number=\"4\"^^xsd:integer)\n", - "}\"\"\"" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "04c12aba-8168-49e4-b430-0f22b9b5d614", + "execution_count": 16, + "id": "8c5aee1c-f6be-4f55-80eb-c20aafc2fc1e", "metadata": {}, "outputs": [ { @@ -382,18 +5174,13 @@ "PREFIX qudt: \n", "PREFIX pldo: \n", "PREFIX podo: \n", - "PREFIX msmo: \n", - "PREFIX prov: \n", "PREFIX rdf: \n", "PREFIX rdfs: \n", - "PREFIX rdf: \n", - "SELECT DISTINCT ?hasSpaceGroupSymbolvalue ?hasNumberOfAtomsvalue\n", + "SELECT DISTINCT ?hasAltNamevalue\n", "WHERE {\n", " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", - " ?CrystalStructure cmso:hasSpaceGroup ?SpaceGroup .\n", - " ?SpaceGroup cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", - " ?ComputationalSample cmso:hasNumberOfAtoms ?hasNumberOfAtomsvalue .\n", + " ?CrystalStructure cmso:hasAltName ?hasAltNamevalue .\n", "FILTER (?hasNumberOfAtomsvalue=\"4\"^^xsd:int)\n", "}\n" ] @@ -405,7 +5192,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 14, "id": "506155a1-0e8d-421d-a3f7-9e4b0d072aff", "metadata": {}, "outputs": [ @@ -430,49 +5217,26 @@ " \n", " \n", " \n", - " hasSpaceGroupSymbolvalue\n", - " hasNumberOfAtomsvalue\n", + " hasAltNamevalue\n", " \n", " \n", " \n", - " \n", - " 0\n", - " Pm-3m\n", - " 4\n", - " \n", " \n", "\n", "" ], "text/plain": [ - " hasSpaceGroupSymbolvalue hasNumberOfAtomsvalue\n", - "0 Pm-3m 4" + "Empty DataFrame\n", + "Columns: [hasAltNamevalue]\n", + "Index: []" ] }, - "execution_count": 22, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "q=\"\"\"\n", - "PREFIX cmso: \n", - "PREFIX qudt: \n", - "PREFIX pldo: \n", - "PREFIX podo: \n", - "PREFIX msmo: \n", - "PREFIX prov: \n", - "PREFIX rdf: \n", - "PREFIX rdfs: \n", - "SELECT DISTINCT ?hasSpaceGroupSymbolvalue ?hasNumberOfAtomsvalue\n", - "WHERE {\n", - " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", - " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", - " ?CrystalStructure cmso:hasSpaceGroupSymbol ?hasSpaceGroupSymbolvalue .\n", - " ?ComputationalSample cmso:hasNumberOfAtoms ?hasNumberOfAtomsvalue .\n", - "FILTER (?hasNumberOfAtomsvalue=\"4\"^^xsd:int)\n", - "}\n", - "\"\"\"\n", "g.query(q)" ] }, diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 294a5af..8d24f2f 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -204,8 +204,13 @@ def create_query(self, source, destinations, condition=None): source = source.query_name destination_names = [destination.query_name for destination in destinations] - - #start prefix of quer + + #if condition is specified, and is not there, add it + if condition is not None: + if condition.query_name not in destination_names: + destination_names.append(condition.query_name) + + #start prefix of query query = [] for key, val in self.namespaces.items(): query.append(f'PREFIX {key}: <{val}>') diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py index aaae6b6..ac8ebf6 100644 --- a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -12,7 +12,7 @@ def read_ontology(): #combine them #combo = cmso + pldo + podo + msmo combo = cmso + pldo + podo - + #add namespaces #combo.add_namespace('prov', 'http://www.w3.org/ns/prov#') combo.add_namespace('rdf', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#') @@ -37,7 +37,7 @@ def read_ontology(): #combo.add_path(('cmso:ComputationalSample', 'prov:wasDerivedFrom', 'cmso:ComputationalSample')) #combo.add_path(('cmso:ComputationalSample', 'prov:wasGeneratedBy', 'msmo:ComputationalMethod')) #combo.add_path(('msmo:ComputationalMethod', 'prov:wasAssociatedWith', 'prov:SoftwareAgent')) - combo.add_path(('cmso:ComputationalSample', 'rdf:type', 'prov:Entity')) + #combo.add_path(('cmso:ComputationalSample', 'rdf:type', 'prov:Entity')) #combo.add_path(('msmo:ComputationalMethod', 'rdf:type', 'prov:Activity')) #for Alt Name, maybe this should not be here combo.add_path(('cmso:CrystalStructure', 'cmso:hasAltName', 'string')) From e4642894bc61248907130b2f88e3e7af89a4222a Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 11:21:34 +0100 Subject: [PATCH 36/49] add new clean datatype method --- examples/01_getting_started.ipynb | 8115 ++++++++++++++--------------- pyscal_rdf/network/network.py | 1 + pyscal_rdf/network/term.py | 7 +- 3 files changed, 4050 insertions(+), 4073 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index d174113..033ac8a 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "SimulationCell_1\n", - "\n", - "SimulationCell_1\n", + "SimulationCell_1Angle\n", + "\n", + "SimulationCell_1Angle\n", "\n", - "\n", + "\n", "\n", - "fd49097b-be40-49d1-b323-e608039d7ae7\n", - "\n", - "1512.95\n", + "94e564ba-d7fe-41ba-ac70-694fb3859a0e\n", + "\n", + "90.0\n", "\n", - "\n", + "\n", "\n", - "SimulationCell_1->fd49097b-be40-49d1-b323-e608039d7ae7\n", - "\n", - "\n", - "cmso.hasVolume\n", - "\n", - "\n", - "\n", - "SimulationCell_1Length\n", - "\n", - "SimulationCell_1Length\n", + "SimulationCell_1Angle->94e564ba-d7fe-41ba-ac70-694fb3859a0e\n", + "\n", + "\n", + "cmso.hasAngle_gamma\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Length\n", - "\n", - "\n", - "cmso.hasLength\n", + "\n", + "\n", + "b919d7a1-f4f8-4f0a-96d0-3ccff7d4e925\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector01\n", - "\n", - "SimulationCell_1Vector01\n", + "\n", + "\n", + "SimulationCell_1Angle->b919d7a1-f4f8-4f0a-96d0-3ccff7d4e925\n", + "\n", + "\n", + "cmso.hasAngle_beta\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector01\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "cmso.SimulationCellAngle\n", + "\n", + "cmso.SimulationCellAngle\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector03\n", - "\n", - "SimulationCell_1Vector03\n", + "\n", + "\n", + "SimulationCell_1Angle->cmso.SimulationCellAngle\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector03\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "7a4c35ad-4a95-4694-adb7-f30c61f556c9\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "SimulationCell_1Angle\n", - "\n", - "SimulationCell_1Angle\n", + "\n", + "\n", + "SimulationCell_1Angle->7a4c35ad-4a95-4694-adb7-f30c61f556c9\n", + "\n", + "\n", + "cmso.hasAngle_alpha\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Angle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "CrystalStructure_1\n", + "\n", + "CrystalStructure_1\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector02\n", - "\n", - "SimulationCell_1Vector02\n", + "\n", + "\n", + "cmso.CrystalStructure\n", + "\n", + "cmso.CrystalStructure\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector02\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "CrystalStructure_1->cmso.CrystalStructure\n", + "\n", + "\n", + "type\n", "\n", - "\n", + "\n", "\n", - "cmso.SimulationCell\n", - "\n", - "cmso.SimulationCell\n", + "UnitCell_1\n", + "\n", + "UnitCell_1\n", "\n", - "\n", + "\n", "\n", - "SimulationCell_1->cmso.SimulationCell\n", - "\n", - "\n", - "type\n", + "CrystalStructure_1->UnitCell_1\n", + "\n", + "\n", + "cmso.hasUnitCell\n", "\n", - "\n", - "\n", - "cmso.SimulationCellLength\n", - "\n", - "cmso.SimulationCellLength\n", + "\n", + "\n", + "1d0c194f-fe29-470c-a509-82559660d0e8\n", + "\n", + "Im-3M\n", "\n", - "\n", - "\n", - "cmso.Length\n", - "\n", - "cmso.Length\n", + "\n", + "\n", + "CrystalStructure_1->1d0c194f-fe29-470c-a509-82559660d0e8\n", + "\n", + "\n", + "cmso.hasSpaceGroupSymbol\n", "\n", - "\n", - "\n", - "cmso.SimulationCellLength->cmso.Length\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "334f03d2-106e-4fec-825e-1eba59df221b\n", + "\n", + "229\n", "\n", - "\n", - "\n", - "ANGSTROM\n", - "\n", - "ANGSTROM\n", + "\n", + "\n", + "CrystalStructure_1->334f03d2-106e-4fec-825e-1eba59df221b\n", + "\n", + "\n", + "cmso.hasSpaceGroupNumber\n", "\n", - "\n", - "\n", - "cmso.Length->ANGSTROM\n", - "\n", - "\n", - "cmso.hasUnit\n", + "\n", + "\n", + "276cc064-0344-47d1-983c-7d92849f3823\n", + "\n", + "Bcc\n", "\n", - "\n", + "\n", + "\n", + "CrystalStructure_1->276cc064-0344-47d1-983c-7d92849f3823\n", + "\n", + "\n", + "cmso.hasAltName\n", + "\n", + "\n", "\n", - "UnitCell_1\n", - "\n", - "UnitCell_1\n", + "Atom_1_0\n", + "\n", + "Atom_1_0\n", "\n", - "\n", + "\n", "\n", - "UnitCell_1LatticeParameter\n", - "\n", - "UnitCell_1LatticeParameter\n", + "Atom_1_0_Position\n", + "\n", + "Atom_1_0_Position\n", "\n", - "\n", + "\n", "\n", - "UnitCell_1->UnitCell_1LatticeParameter\n", - "\n", - "\n", - "cmso.hasLatticeParamter\n", - "\n", - "\n", - "\n", - "UnitCell_1LatticeAngle\n", - "\n", - "UnitCell_1LatticeAngle\n", + "Atom_1_0->Atom_1_0_Position\n", + "\n", + "\n", + "cmso.hasPositionVector\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeAngle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "Atom_1_0_Element\n", + "\n", + "Atom_1_0_Element\n", "\n", - "\n", - "\n", - "cmso.UnitCell\n", - "\n", - "cmso.UnitCell\n", + "\n", + "\n", + "Atom_1_0->Atom_1_0_Element\n", + "\n", + "\n", + "cmso.hasElement\n", "\n", - "\n", - "\n", - "UnitCell_1->cmso.UnitCell\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "739288c3-ea09-4a44-9419-fef25412d152\n", + "\n", + "14\n", "\n", - "\n", - "\n", - "wiki.Q851536\n", - "\n", - "wiki.Q851536\n", + "\n", + "\n", + "Atom_1_0->739288c3-ea09-4a44-9419-fef25412d152\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", "\n", - "\n", - "\n", - "UnitCell_1->wiki.Q851536\n", - "\n", - "\n", - "cmso.hasBravaisLattice\n", + "\n", + "\n", + "cmso.Atom\n", + "\n", + "cmso.Atom\n", "\n", - "\n", - "\n", - "cmso.LatticeParameter\n", - "\n", - "cmso.LatticeParameter\n", + "\n", + "\n", + "Atom_1_0->cmso.Atom\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeParameter->cmso.LatticeParameter\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "cmso.PositionVector\n", + "\n", + "cmso.PositionVector\n", "\n", - "\n", - "\n", - "26c36b26-b0c4-4750-93da-ac60afd612ae\n", - "\n", - "2.87\n", + "\n", + "\n", + "Atom_1_0_Position->cmso.PositionVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeParameter->26c36b26-b0c4-4750-93da-ac60afd612ae\n", - "\n", - "\n", - "cmso.hasLength_z\n", + "\n", + "\n", + "c2ae2f4c-95d0-43e3-9b84-e24c4d36e6be\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "30bad913-c4d9-4ed6-990b-8df3b77d1f77\n", - "\n", - "2.87\n", + "\n", + "\n", + "Atom_1_0_Position->c2ae2f4c-95d0-43e3-9b84-e24c4d36e6be\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeParameter->30bad913-c4d9-4ed6-990b-8df3b77d1f77\n", - "\n", - "\n", - "cmso.hasLength_y\n", + "\n", + "\n", + "1da876a8-2c73-4f9c-876e-201e7b4c7db7\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "0d371107-03cb-4423-a6e4-f3f61e11863f\n", - "\n", - "2.87\n", + "\n", + "\n", + "Atom_1_0_Position->1da876a8-2c73-4f9c-876e-201e7b4c7db7\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeParameter->0d371107-03cb-4423-a6e4-f3f61e11863f\n", - "\n", - "\n", - "cmso.hasLength_x\n", + "\n", + "\n", + "45c04854-cdcc-4801-b96e-51094b938ba3\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "SimulationCell_1Length->cmso.SimulationCellLength\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_1_0_Position->45c04854-cdcc-4801-b96e-51094b938ba3\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", + "\n", "\n", - 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"6d6176ff-ee43-477f-b686-30844168b324\n", - "\n", - "Si\n", + "\n", + "\n", + "36b278fd-f98b-4818-8c60-8dbc0b92d15a\n", + "\n", + "3.57\n", "\n", - "\n", - "\n", - "Atom_2_6_Element->6d6176ff-ee43-477f-b686-30844168b324\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "SimulationCell_3Length->36b278fd-f98b-4818-8c60-8dbc0b92d15a\n", + "\n", + "\n", + "cmso.hasLength_z\n", "\n", - "\n", - "\n", - "cmso.LatticeVector\n", - "\n", - "cmso.LatticeVector\n", + "\n", + "\n", + "67108239-f854-4464-9ee4-ed03c0f4437f\n", + "\n", + "3.57\n", "\n", - "\n", - "\n", - "cmso.LatticeVector->cmso.Vector\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "SimulationCell_3Length->67108239-f854-4464-9ee4-ed03c0f4437f\n", + "\n", + "\n", + "cmso.hasLength_y\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -5106,10 +5106,10 @@ }, { "cell_type": "markdown", - "id": "364e624f-66f9-4a56-b54d-dfe011b1c6da", + "id": "62b70c91-a0ed-4e35-bdb2-e087a3259726", "metadata": {}, "source": [ - "The query system can also be used without experience in SPARQL, or deep knowledge about the ontology terms." + "The query system can also be used without experience in SPARQL, or deep knowledge about the ontology terms. For example, **What are all the samples with Bravais lattice bcc?**" ] }, { @@ -5123,47 +5123,18 @@ { "cell_type": "code", "execution_count": 11, - "id": "8e339c3c-946e-4020-8051-a036cce4879c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PREFIX cmso: \n", - "PREFIX qudt: \n", - "PREFIX pldo: \n", - "PREFIX podo: \n", - "PREFIX rdf: \n", - "PREFIX rdfs: \n", - "SELECT DISTINCT ?hasAltNamevalue\n", - "WHERE {\n", - " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", - " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", - " ?CrystalStructure cmso:hasAltName ?hasAltNamevalue .\n", - "}\n" - ] - } - ], - "source": [ - "print(g.ontology.create_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName))" - ] - }, - { - "cell_type": "code", - "execution_count": 12, "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, "outputs": [], "source": [ - " q = g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", - " condition=(g.ontology.terms.cmso.hasNumberOfAtoms==4), return_query=True)" + "a=g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", + " condition=(g.ontology.terms.cmso.hasAltName=='bcc'), return_query=True)" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "8c5aee1c-f6be-4f55-80eb-c20aafc2fc1e", + "execution_count": 12, + "id": "1caf6bf8-bedc-4787-9777-117b9b59db2e", "metadata": {}, "outputs": [ { @@ -5181,19 +5152,19 @@ " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", " ?CrystalStructure cmso:hasAltName ?hasAltNamevalue .\n", - "FILTER (?hasNumberOfAtomsvalue=\"4\"^^xsd:int)\n", + "FILTER (?hasAltNamevalue=\"bcc\"^^xsd:str)\n", "}\n" ] } ], "source": [ - "print(q)" + "print(a)" ] }, { "cell_type": "code", - "execution_count": 14, - "id": "506155a1-0e8d-421d-a3f7-9e4b0d072aff", + "execution_count": 41, + "id": "99176215-2ccd-427e-8b79-551cd5470b70", "metadata": {}, "outputs": [ { @@ -5221,41 +5192,41 @@ " \n", " \n", " \n", + "
\n", + " 0\n", + " diamond\n", + "
\n", " \n", "\n", "" ], "text/plain": [ - "Empty DataFrame\n", - "Columns: [hasAltNamevalue]\n", - "Index: []" + " hasAltNamevalue\n", + "0 diamond" ] }, - "execution_count": 14, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "g.query(q)" - ] - }, - { - "cell_type": "markdown", - "id": "62b70c91-a0ed-4e35-bdb2-e087a3259726", - "metadata": {}, - "source": [ - "There are also pre-built queries. For example, **What are all the samples with Bravais lattice bcc?**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "63b1e09f-3182-4cef-9636-d35e423975cf", - "metadata": {}, - "outputs": [], - "source": [ - "g.auto_query()" + "a = \"\"\"\n", + "PREFIX cmso: \n", + "PREFIX qudt: \n", + "PREFIX pldo: \n", + "PREFIX podo: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "SELECT DISTINCT ?hasAltNamevalue\n", + "WHERE {\n", + " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", + " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", + " ?CrystalStructure cmso:hasAltName ?hasAltNamevalue .\n", + "FILTER (?hasAltNamevalue=\"diamond\"^^xsd:string)\n", + "}\n", + "\"\"\"\n", + "g.query(a)" ] }, { diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 8d24f2f..f21bace 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -98,6 +98,7 @@ def _add_object_properties(self): self.g.add_edge(d, val.name) for r in val.range: self.g.add_edge(val.name, r) + def _add_data_properties(self): for key, val in self.onto.attributes['data_property'].items(): diff --git a/pyscal_rdf/network/term.py b/pyscal_rdf/network/term.py index 26a9973..06df913 100644 --- a/pyscal_rdf/network/term.py +++ b/pyscal_rdf/network/term.py @@ -144,6 +144,11 @@ def query_name_without_prefix(self): def __repr__(self): return str(self.name) + def _clean_datatype(self, r): + if r=='str': + return 'string' + return r + #convenience methods for overload checking def _ensure_condition_exists(self): if self._condition is None: @@ -162,7 +167,7 @@ def _is_data_node(self): raise TypeError("This operation can only be performed with a data property!") def _create_condition_string(self, condition, val): - return f'(?{self.query_name_without_prefix}{condition}\"{val}\"^^xsd:{self.range[0]})' + return f'(?{self.query_name_without_prefix}{condition}\"{val}\"^^xsd:{self._clean_datatype(self.range[0])})' #overloading operators def __eq__(self, val): From 918318570efd65dad3c11c240cacba2e1c7e442a Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 11:24:57 +0100 Subject: [PATCH 37/49] add source in query names --- examples/01_getting_started.ipynb | 8125 ++++++++++++++--------------- pyscal_rdf/network/network.py | 4 + 2 files changed, 4033 insertions(+), 4096 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index 033ac8a..b2306c5 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "SimulationCell_1Angle\n", - "\n", - "SimulationCell_1Angle\n", + "Atom_1_1_Position\n", + "\n", + "Atom_1_1_Position\n", "\n", - "\n", + "\n", "\n", - "94e564ba-d7fe-41ba-ac70-694fb3859a0e\n", - "\n", - "90.0\n", + "72599241-c380-4f25-b11e-83f18fd2241b\n", + "\n", + "1.435\n", "\n", - "\n", + "\n", "\n", - "SimulationCell_1Angle->94e564ba-d7fe-41ba-ac70-694fb3859a0e\n", - "\n", - "\n", - "cmso.hasAngle_gamma\n", + "Atom_1_1_Position->72599241-c380-4f25-b11e-83f18fd2241b\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "b919d7a1-f4f8-4f0a-96d0-3ccff7d4e925\n", - "\n", - "90.0\n", + "\n", + "\n", + "cmso.PositionVector\n", + "\n", + "cmso.PositionVector\n", "\n", - "\n", - "\n", - "SimulationCell_1Angle->b919d7a1-f4f8-4f0a-96d0-3ccff7d4e925\n", - "\n", - "\n", - "cmso.hasAngle_beta\n", + "\n", + "\n", + "Atom_1_1_Position->cmso.PositionVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "cmso.SimulationCellAngle\n", - "\n", - "cmso.SimulationCellAngle\n", + "\n", + "\n", + "99214a50-0f51-4390-adc2-2940c446dd11\n", + "\n", + "1.435\n", "\n", - "\n", - "\n", - "SimulationCell_1Angle->cmso.SimulationCellAngle\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_1_1_Position->99214a50-0f51-4390-adc2-2940c446dd11\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", - "\n", - "7a4c35ad-4a95-4694-adb7-f30c61f556c9\n", - "\n", - "90.0\n", + "\n", + "\n", + "dd70fcc7-1be6-486b-a698-fe2b2ad21385\n", + "\n", + "1.435\n", "\n", - "\n", - "\n", - "SimulationCell_1Angle->7a4c35ad-4a95-4694-adb7-f30c61f556c9\n", - "\n", - "\n", - "cmso.hasAngle_alpha\n", + "\n", + "\n", + "Atom_1_1_Position->dd70fcc7-1be6-486b-a698-fe2b2ad21385\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", + "\n", "\n", - "CrystalStructure_1\n", - "\n", - "CrystalStructure_1\n", + "UnitCell_1\n", + "\n", + "UnitCell_1\n", "\n", - "\n", + "\n", "\n", - "cmso.CrystalStructure\n", - "\n", - "cmso.CrystalStructure\n", + "cmso.UnitCell\n", + "\n", + "cmso.UnitCell\n", "\n", - "\n", + "\n", "\n", - "CrystalStructure_1->cmso.CrystalStructure\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "UnitCell_1\n", - "\n", - "UnitCell_1\n", - "\n", - "\n", - "\n", - "CrystalStructure_1->UnitCell_1\n", - "\n", - "\n", - "cmso.hasUnitCell\n", + "UnitCell_1->cmso.UnitCell\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "1d0c194f-fe29-470c-a509-82559660d0e8\n", - "\n", - "Im-3M\n", + "\n", + "\n", + "UnitCell_1LatticeParameter\n", + "\n", + "UnitCell_1LatticeParameter\n", "\n", - "\n", - "\n", - "CrystalStructure_1->1d0c194f-fe29-470c-a509-82559660d0e8\n", - "\n", - "\n", - "cmso.hasSpaceGroupSymbol\n", + "\n", + "\n", + "UnitCell_1->UnitCell_1LatticeParameter\n", + "\n", + "\n", + "cmso.hasLatticeParamter\n", "\n", - "\n", - "\n", - "334f03d2-106e-4fec-825e-1eba59df221b\n", - "\n", - "229\n", + "\n", + "\n", + "UnitCell_1LatticeAngle\n", + "\n", + "UnitCell_1LatticeAngle\n", "\n", - "\n", - "\n", - "CrystalStructure_1->334f03d2-106e-4fec-825e-1eba59df221b\n", - "\n", - "\n", - "cmso.hasSpaceGroupNumber\n", + "\n", + "\n", + "UnitCell_1->UnitCell_1LatticeAngle\n", + "\n", + "\n", + "cmso.hasAngle\n", "\n", - "\n", - "\n", - "276cc064-0344-47d1-983c-7d92849f3823\n", - "\n", - "Bcc\n", + "\n", + "\n", + "wiki.Q851536\n", + "\n", + "wiki.Q851536\n", "\n", - "\n", - "\n", - "CrystalStructure_1->276cc064-0344-47d1-983c-7d92849f3823\n", - "\n", - "\n", - "cmso.hasAltName\n", + "\n", + "\n", + "UnitCell_1->wiki.Q851536\n", + "\n", + "\n", + "cmso.hasBravaisLattice\n", "\n", - "\n", + "\n", "\n", - "Atom_1_0\n", - "\n", - "Atom_1_0\n", + "CrystalStructure_1\n", + "\n", + "CrystalStructure_1\n", "\n", - "\n", + "\n", + "\n", + "CrystalStructure_1->UnitCell_1\n", + "\n", + "\n", + "cmso.hasUnitCell\n", + "\n", + "\n", "\n", - "Atom_1_0_Position\n", - "\n", - "Atom_1_0_Position\n", + "afcb5ffd-79b4-4a06-9b78-d4015763070b\n", + "\n", + "Bcc\n", "\n", - "\n", + "\n", "\n", - "Atom_1_0->Atom_1_0_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "CrystalStructure_1->afcb5ffd-79b4-4a06-9b78-d4015763070b\n", + "\n", + "\n", + "cmso.hasAltName\n", "\n", - "\n", - "\n", - "Atom_1_0_Element\n", - "\n", - "Atom_1_0_Element\n", + "\n", + "\n", + "cmso.CrystalStructure\n", + "\n", + "cmso.CrystalStructure\n", "\n", - "\n", - "\n", - "Atom_1_0->Atom_1_0_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "CrystalStructure_1->cmso.CrystalStructure\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "739288c3-ea09-4a44-9419-fef25412d152\n", - "\n", - "14\n", + "\n", + "\n", + "7962ed64-3942-4ff0-a3bd-2ab944f22435\n", + "\n", + "229\n", "\n", - "\n", - "\n", - "Atom_1_0->739288c3-ea09-4a44-9419-fef25412d152\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "CrystalStructure_1->7962ed64-3942-4ff0-a3bd-2ab944f22435\n", + "\n", + "\n", + "cmso.hasSpaceGroupNumber\n", "\n", - "\n", - "\n", - "cmso.Atom\n", - "\n", - "cmso.Atom\n", + "\n", + "\n", + "d3b4ab11-c790-495b-b211-ef1351a9c1b1\n", + "\n", + "Im-3M\n", "\n", - "\n", - "\n", - "Atom_1_0->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "CrystalStructure_1->d3b4ab11-c790-495b-b211-ef1351a9c1b1\n", + "\n", + "\n", + "cmso.hasSpaceGroupSymbol\n", "\n", - "\n", + "\n", "\n", - "cmso.PositionVector\n", - "\n", - "cmso.PositionVector\n", - "\n", - "\n", - "\n", - "Atom_1_0_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "c2ae2f4c-95d0-43e3-9b84-e24c4d36e6be\n", - "\n", - "0.0\n", - "\n", - "\n", - "\n", - "Atom_1_0_Position->c2ae2f4c-95d0-43e3-9b84-e24c4d36e6be\n", - "\n", - "\n", - "cmso.hasComponent_x\n", - "\n", - "\n", - "\n", - "1da876a8-2c73-4f9c-876e-201e7b4c7db7\n", - "\n", - "0.0\n", - "\n", - "\n", - "\n", - "Atom_1_0_Position->1da876a8-2c73-4f9c-876e-201e7b4c7db7\n", - "\n", - "\n", - "cmso.hasComponent_y\n", - "\n", - "\n", - "\n", - "45c04854-cdcc-4801-b96e-51094b938ba3\n", - "\n", - "0.0\n", - "\n", - "\n", - "\n", - "Atom_1_0_Position->45c04854-cdcc-4801-b96e-51094b938ba3\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "Atom_1_0_Position\n", + "\n", + "Atom_1_0_Position\n", "\n", - "\n", + "\n", "\n", - "cmso.Vector\n", - "\n", - "cmso.Vector\n", + "ffb6db3d-3f39-4a3d-b78e-b764e1b79d81\n", + "\n", + "0.0\n", "\n", - "\n", + "\n", "\n", - "cmso.PositionVector->cmso.Vector\n", - "\n", - "\n", - "subClassOf\n", + "Atom_1_0_Position->ffb6db3d-3f39-4a3d-b78e-b764e1b79d81\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", + "\n", "\n", - "ANGSTROM\n", - "\n", - "ANGSTROM\n", + "06916176-7863-49f9-ae06-a3b5925ff0a2\n", + "\n", + "0.0\n", "\n", - "\n", + "\n", "\n", - "cmso.Vector->ANGSTROM\n", - "\n", - "\n", - "cmso.hasUnit\n", - "\n", - "\n", - "\n", - "SimulationCell_1Vector03\n", - "\n", - "SimulationCell_1Vector03\n", + "Atom_1_0_Position->06916176-7863-49f9-ae06-a3b5925ff0a2\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "af9b894d-0d8f-4ecc-8119-da6add9775b3\n", - "\n", - "0.0\n", - "\n", - "\n", - "\n", - "SimulationCell_1Vector03->af9b894d-0d8f-4ecc-8119-da6add9775b3\n", - "\n", - "\n", - "cmso.hasComponent_x\n", - "\n", - "\n", - "\n", - "959f7d9c-a3de-42d7-9efc-41da25ea736a\n", - "\n", - "2.87\n", + "\n", + "\n", + "Atom_1_0_Position->cmso.PositionVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector03->959f7d9c-a3de-42d7-9efc-41da25ea736a\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "7d430af6-14cd-4b74-bff7-0ecdde6d2594\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "cmso.SimulationCellVector\n", - "\n", - "cmso.SimulationCellVector\n", + "\n", + "\n", + "Atom_1_0_Position->7d430af6-14cd-4b74-bff7-0ecdde6d2594\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector03->cmso.SimulationCellVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Sample_1\n", + "\n", + "Sample_1\n", "\n", - "\n", - "\n", - "a0286ab0-bed8-42ea-904b-c3c144b1d496\n", - "\n", - "0.0\n", + "\n", + "\n", + "cmso.AtomicScaleSample\n", + "\n", + "cmso.AtomicScaleSample\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector03->a0286ab0-bed8-42ea-904b-c3c144b1d496\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "Sample_1->cmso.AtomicScaleSample\n", + "\n", + "\n", + "type\n", "\n", - "\n", + "\n", "\n", - 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"type\n", + "\n", + "\n", + "Atom_2_4->Atom_2_4_Element\n", + "\n", + "\n", + "cmso.hasElement\n", "\n", - "\n", - "\n", - "8a0f45ca-47e2-44cf-8b90-55e93b8c4ce6\n", - "\n", - "Si\n", + "\n", + "\n", + "e19c0647-e300-4022-969c-cca65ba803d1\n", + "\n", + "4\n", "\n", - "\n", - "\n", - "Atom_2_0_Element->8a0f45ca-47e2-44cf-8b90-55e93b8c4ce6\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "Atom_2_4->e19c0647-e300-4022-969c-cca65ba803d1\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", "\n", - "\n", - "\n", - "Atom_2_6->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_2_4_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_2_6->Atom_2_6_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "2d667f9f-7989-4798-b669-94af8d149c50\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "Atom_2_6->Atom_2_6_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "Atom_2_4_Element->2d667f9f-7989-4798-b669-94af8d149c50\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "944f662a-9283-4a34-b144-e74e644bd54d\n", - "\n", - "4\n", + "\n", + "\n", + "Atom_3_2_Position->cmso.PositionVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_2_6->944f662a-9283-4a34-b144-e74e644bd54d\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "ec465b26-4ac5-4631-b36d-acfc0b0304ee\n", + "\n", + "1.785\n", "\n", - "\n", - "\n", - "Atom_2_7->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_3_2_Position->ec465b26-4ac5-4631-b36d-acfc0b0304ee\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", - "\n", - "Atom_2_7->Atom_2_7_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "2cde639f-eccc-4a7c-96e2-fb78ba97c912\n", + "\n", + "1.785\n", "\n", - "\n", - "\n", - "Atom_2_7->Atom_2_7_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "Atom_3_2_Position->2cde639f-eccc-4a7c-96e2-fb78ba97c912\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", - "\n", - "cc2550d2-05c4-46b6-9769-11ba0e09c59c\n", - "\n", - "4\n", + "\n", + "\n", + "589ff07b-4068-45ef-93bf-6621f5262346\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "Atom_2_7->cc2550d2-05c4-46b6-9769-11ba0e09c59c\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "Atom_3_2_Position->589ff07b-4068-45ef-93bf-6621f5262346\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "Material_1->cmso.CrystallineMaterial\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_2_7_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Material_1->CrystalStructure_1\n", - "\n", - "\n", - "cmso.hasStructure\n", + "\n", + "\n", + "72222ded-bf37-4e8f-a686-663402762c13\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "58a8bd81-7ce5-4bf7-beee-5981c5c1580a\n", - "\n", - "Fe=1.0\n", + "\n", + "\n", + "Atom_2_7_Element->72222ded-bf37-4e8f-a686-663402762c13\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "Material_1->58a8bd81-7ce5-4bf7-beee-5981c5c1580a\n", - "\n", - "\n", - "cmso.hasElementRatio\n", + "\n", + "\n", + "cmso.LatticeVector\n", + "\n", + "cmso.LatticeVector\n", "\n", - "\n", - "\n", - "Atom_2_1->Atom_2_1_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "cmso.LatticeVector->cmso.Vector\n", + "\n", + "\n", + "subClassOf\n", "\n", - "\n", - "\n", - "Atom_2_1->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "SimulationCell_1Length->cmso.SimulationCellLength\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_2_1->Atom_2_1_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "0599e06f-b2f2-4c8c-afeb-56e6e6e99868\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "4f27bd9d-ea7e-46cf-8327-2236bdcfbacc\n", - "\n", - "4\n", + "\n", + "\n", + "SimulationCell_1Length->0599e06f-b2f2-4c8c-afeb-56e6e6e99868\n", + "\n", + "\n", + "cmso.hasLength_z\n", "\n", - "\n", - "\n", - "Atom_2_1->4f27bd9d-ea7e-46cf-8327-2236bdcfbacc\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "43a9ce7d-5e70-48d3-94f7-67d83e238738\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "UnitCell_1->cmso.UnitCell\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "SimulationCell_1Length->43a9ce7d-5e70-48d3-94f7-67d83e238738\n", + "\n", + "\n", + "cmso.hasLength_x\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeParameter\n", - "\n", - "\n", - "cmso.hasLatticeParamter\n", + "\n", + "\n", + "2ddce2d8-1130-42d8-9ae0-542258e66369\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeAngle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "SimulationCell_1Length->2ddce2d8-1130-42d8-9ae0-542258e66369\n", + "\n", + "\n", + "cmso.hasLength_y\n", "\n", - "\n", - "\n", - "wiki.Q851536\n", - "\n", - "wiki.Q851536\n", + "\n", + "\n", + "UnitCell_3->cmso.UnitCell\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "UnitCell_1->wiki.Q851536\n", - "\n", - "\n", - "cmso.hasBravaisLattice\n", + "\n", + "\n", + "UnitCell_3->wiki.Q3006714\n", + "\n", + "\n", + "cmso.hasBravaisLattice\n", "\n", - "\n", - "\n", - "Atom_3_3->Atom_3_3_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "UnitCell_3->UnitCell_3LatticeAngle\n", + "\n", + "\n", + "cmso.hasAngle\n", "\n", - "\n", - "\n", - "Atom_3_3->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "UnitCell_3->UnitCell_3LatticeParameter\n", + "\n", + "\n", + "cmso.hasLatticeParamter\n", "\n", - "\n", - "\n", - "Atom_3_3->Atom_3_3_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "Atom_2_1_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "861f64a5-8984-4bee-b228-14eb072b695d\n", - "\n", - "12\n", + "\n", + "\n", + "28f62fae-b400-4122-9b97-ab47e73a9052\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "Atom_3_3->861f64a5-8984-4bee-b228-14eb072b695d\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "Atom_2_1_Element->28f62fae-b400-4122-9b97-ab47e73a9052\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", "\n", - "\n", + "\n", "Atom_1_0_Element->cmso.Element\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "6eaa46fa-796a-4e66-b0f8-532950ba4fb7\n", - "\n", - "Fe\n", - "\n", - "\n", - "\n", - "Atom_1_0_Element->6eaa46fa-796a-4e66-b0f8-532950ba4fb7\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "DEG\n", - "\n", - "DEG\n", + "\n", + "\n", + "5495930d-ba37-4714-80df-da283d232a83\n", + "\n", + "Fe\n", "\n", - "\n", - "\n", - "cmso.Angle->DEG\n", - "\n", - "\n", - "cmso.hasUnit\n", + "\n", + "\n", + "Atom_1_0_Element->5495930d-ba37-4714-80df-da283d232a83\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "SimulationCell_3Length->cmso.SimulationCellLength\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_3_0_Position->cmso.PositionVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "90c2b77b-4f85-46f2-95df-12e0a0d88296\n", - "\n", - "3.57\n", + "\n", + "\n", + "b9d533ca-3a3d-41ec-934e-e0fb7dd0eefc\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "SimulationCell_3Length->90c2b77b-4f85-46f2-95df-12e0a0d88296\n", - "\n", - "\n", - "cmso.hasLength_x\n", + "\n", + "\n", + "Atom_3_0_Position->b9d533ca-3a3d-41ec-934e-e0fb7dd0eefc\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", - "\n", - "36b278fd-f98b-4818-8c60-8dbc0b92d15a\n", - "\n", - "3.57\n", + "\n", + "\n", + "bf9a17c8-545f-42c7-b23f-44d3736ca83b\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "SimulationCell_3Length->36b278fd-f98b-4818-8c60-8dbc0b92d15a\n", - "\n", - "\n", - "cmso.hasLength_z\n", + "\n", + "\n", + "Atom_3_0_Position->bf9a17c8-545f-42c7-b23f-44d3736ca83b\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "67108239-f854-4464-9ee4-ed03c0f4437f\n", - "\n", - "3.57\n", + "\n", + "\n", + "1f52a6b7-3a69-4026-a4ca-1293b09a7155\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "SimulationCell_3Length->67108239-f854-4464-9ee4-ed03c0f4437f\n", - "\n", - "\n", - "cmso.hasLength_y\n", + "\n", + "\n", + "Atom_3_0_Position->1f52a6b7-3a69-4026-a4ca-1293b09a7155\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -5122,50 +5122,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, - "outputs": [], - "source": [ - "a=g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", - " condition=(g.ontology.terms.cmso.hasAltName=='bcc'), return_query=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "1caf6bf8-bedc-4787-9777-117b9b59db2e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PREFIX cmso: \n", - "PREFIX qudt: \n", - "PREFIX pldo: \n", - "PREFIX podo: \n", - "PREFIX rdf: \n", - "PREFIX rdfs: \n", - "SELECT DISTINCT ?hasAltNamevalue\n", - "WHERE {\n", - " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", - " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", - " ?CrystalStructure cmso:hasAltName ?hasAltNamevalue .\n", - "FILTER (?hasAltNamevalue=\"bcc\"^^xsd:str)\n", - "}\n" - ] - } - ], - "source": [ - "print(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "99176215-2ccd-427e-8b79-551cd5470b70", - "metadata": {}, "outputs": [ { "data": { @@ -5194,7 +5153,7 @@ " \n", "
\n", " 0\n", - " diamond\n", + " bcc\n", "
\n", " \n", "\n", @@ -5202,43 +5161,17 @@ ], "text/plain": [ " hasAltNamevalue\n", - "0 diamond" + "0 bcc" ] }, - "execution_count": 41, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "a = \"\"\"\n", - "PREFIX cmso: \n", - "PREFIX qudt: \n", - "PREFIX pldo: \n", - "PREFIX podo: \n", - "PREFIX rdf: \n", - "PREFIX rdfs: \n", - "SELECT DISTINCT ?hasAltNamevalue\n", - "WHERE {\n", - " ?ComputationalSample cmso:hasMaterial ?AmorphousMaterial .\n", - " ?AmorphousMaterial cmso:hasStructure ?CrystalStructure .\n", - " ?CrystalStructure cmso:hasAltName ?hasAltNamevalue .\n", - "FILTER (?hasAltNamevalue=\"diamond\"^^xsd:string)\n", - "}\n", - "\"\"\"\n", - "g.query(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "098b73d2-9c35-45fe-9120-e042c2a3734b", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "from pyscal_rdf.queries import Query" + "g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", + " condition=(g.ontology.terms.cmso.hasAltName=='bcc'))" ] }, { diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index f21bace..229b4fa 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -211,6 +211,10 @@ def create_query(self, source, destinations, condition=None): if condition.query_name not in destination_names: destination_names.append(condition.query_name) + #add source if not available + if source not in destination_names: + destination_names.append(source) + #start prefix of query query = [] for key, val in self.namespaces.items(): From 3c9f18297f78561e6f9d2dc98251cf979690a0bb Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 11:28:30 +0100 Subject: [PATCH 38/49] add sample query and make condition optional --- examples/01_getting_started.ipynb | 8008 +++++++++++++++-------------- pyscal_rdf/graph.py | 9 +- 2 files changed, 4010 insertions(+), 4007 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index b2306c5..606b478 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Atom_1_1_Position\n", - "\n", - "Atom_1_1_Position\n", + "Atom_1_1\n", + "\n", + "Atom_1_1\n", "\n", - "\n", + "\n", "\n", - "72599241-c380-4f25-b11e-83f18fd2241b\n", - "\n", - "1.435\n", + "aa6aa5bd-d2a0-4730-ad0e-95d0a307bf00\n", + "\n", + "14\n", "\n", - "\n", + "\n", "\n", - "Atom_1_1_Position->72599241-c380-4f25-b11e-83f18fd2241b\n", - "\n", - "\n", - "cmso.hasComponent_x\n", + "Atom_1_1->aa6aa5bd-d2a0-4730-ad0e-95d0a307bf00\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", "\n", - "\n", - "\n", - "cmso.PositionVector\n", - "\n", - "cmso.PositionVector\n", + "\n", + "\n", + "Atom_1_1_Element\n", + "\n", + "Atom_1_1_Element\n", "\n", - "\n", - "\n", - "Atom_1_1_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_1_1->Atom_1_1_Element\n", + "\n", + "\n", + "cmso.hasElement\n", "\n", - "\n", - "\n", - "99214a50-0f51-4390-adc2-2940c446dd11\n", - "\n", - "1.435\n", + "\n", + "\n", + "Atom_1_1_Position\n", + "\n", + "Atom_1_1_Position\n", "\n", - "\n", - "\n", - "Atom_1_1_Position->99214a50-0f51-4390-adc2-2940c446dd11\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "Atom_1_1->Atom_1_1_Position\n", + "\n", + "\n", + "cmso.hasPositionVector\n", "\n", - "\n", - "\n", - "dd70fcc7-1be6-486b-a698-fe2b2ad21385\n", - "\n", - "1.435\n", + "\n", + "\n", + "cmso.Atom\n", + "\n", + "cmso.Atom\n", "\n", - "\n", - "\n", - "Atom_1_1_Position->dd70fcc7-1be6-486b-a698-fe2b2ad21385\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "Atom_1_1->cmso.Atom\n", + "\n", + "\n", + "type\n", "\n", - "\n", + "\n", "\n", - "UnitCell_1\n", - "\n", - "UnitCell_1\n", + "SimulationCell_1Vector01\n", + "\n", + "SimulationCell_1Vector01\n", "\n", - "\n", + "\n", "\n", - "cmso.UnitCell\n", - "\n", - "cmso.UnitCell\n", + "6c6b9a4d-efe6-42c0-8097-677535bf7759\n", + "\n", + "0.0\n", "\n", - "\n", + "\n", "\n", - "UnitCell_1->cmso.UnitCell\n", - "\n", - "\n", - "type\n", + "SimulationCell_1Vector01->6c6b9a4d-efe6-42c0-8097-677535bf7759\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeParameter\n", - "\n", - "UnitCell_1LatticeParameter\n", + "\n", + "\n", + "cmso.SimulationCellVector\n", + "\n", + "cmso.SimulationCellVector\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeParameter\n", - "\n", - "\n", - "cmso.hasLatticeParamter\n", + "\n", + "\n", + "SimulationCell_1Vector01->cmso.SimulationCellVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeAngle\n", - "\n", - "UnitCell_1LatticeAngle\n", + "\n", + "\n", + "4993e354-e3c0-45ae-9abe-4ed8f9f57740\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeAngle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "SimulationCell_1Vector01->4993e354-e3c0-45ae-9abe-4ed8f9f57740\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "wiki.Q851536\n", - "\n", - "wiki.Q851536\n", + "\n", + "\n", + "4aa3fce7-9029-49cb-827d-f092abd1b950\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "UnitCell_1->wiki.Q851536\n", - "\n", - "\n", - "cmso.hasBravaisLattice\n", + "\n", + "\n", + "SimulationCell_1Vector01->4aa3fce7-9029-49cb-827d-f092abd1b950\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", + "\n", "\n", - "CrystalStructure_1\n", - "\n", - "CrystalStructure_1\n", - "\n", - "\n", - "\n", - "CrystalStructure_1->UnitCell_1\n", - "\n", - "\n", - "cmso.hasUnitCell\n", + "Atom_1_0\n", + "\n", + "Atom_1_0\n", "\n", - "\n", + "\n", "\n", - "afcb5ffd-79b4-4a06-9b78-d4015763070b\n", - "\n", - "Bcc\n", + "Atom_1_0_Position\n", + "\n", + "Atom_1_0_Position\n", "\n", - "\n", + "\n", "\n", - "CrystalStructure_1->afcb5ffd-79b4-4a06-9b78-d4015763070b\n", - "\n", - "\n", - "cmso.hasAltName\n", - "\n", - "\n", - "\n", - "cmso.CrystalStructure\n", - "\n", - "cmso.CrystalStructure\n", - "\n", - "\n", - "\n", - "CrystalStructure_1->cmso.CrystalStructure\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "7962ed64-3942-4ff0-a3bd-2ab944f22435\n", - "\n", - "229\n", + "Atom_1_0->Atom_1_0_Position\n", + "\n", + "\n", + "cmso.hasPositionVector\n", "\n", - "\n", - "\n", - "CrystalStructure_1->7962ed64-3942-4ff0-a3bd-2ab944f22435\n", - "\n", - "\n", - "cmso.hasSpaceGroupNumber\n", + "\n", + "\n", + "Atom_1_0_Element\n", + "\n", + "Atom_1_0_Element\n", "\n", - "\n", - "\n", - "d3b4ab11-c790-495b-b211-ef1351a9c1b1\n", - "\n", - "Im-3M\n", + "\n", + "\n", + "Atom_1_0->Atom_1_0_Element\n", + "\n", + "\n", + "cmso.hasElement\n", "\n", - "\n", - "\n", - "CrystalStructure_1->d3b4ab11-c790-495b-b211-ef1351a9c1b1\n", - "\n", - "\n", - "cmso.hasSpaceGroupSymbol\n", + "\n", + "\n", + "71d0d156-92a1-445b-826d-b063b0074063\n", + "\n", + "14\n", "\n", - "\n", - "\n", - "Atom_1_0_Position\n", - "\n", - "Atom_1_0_Position\n", + "\n", + "\n", + "Atom_1_0->71d0d156-92a1-445b-826d-b063b0074063\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", "\n", - "\n", - "\n", - "ffb6db3d-3f39-4a3d-b78e-b764e1b79d81\n", - "\n", - "0.0\n", + "\n", + "\n", + "Atom_1_0->cmso.Atom\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_1_0_Position->ffb6db3d-3f39-4a3d-b78e-b764e1b79d81\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "9a120b8c-c175-4b77-8643-e98336d0f013\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "06916176-7863-49f9-ae06-a3b5925ff0a2\n", - "\n", - "0.0\n", + "\n", + "\n", + "Atom_1_0_Position->9a120b8c-c175-4b77-8643-e98336d0f013\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", - "\n", - "Atom_1_0_Position->06916176-7863-49f9-ae06-a3b5925ff0a2\n", - "\n", - "\n", - "cmso.hasComponent_x\n", + "\n", + "\n", + "cmso.PositionVector\n", + "\n", + "cmso.PositionVector\n", "\n", "\n", - "\n", + "\n", "Atom_1_0_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "86f1eeae-eb5b-4128-b302-e6c08119d1f7\n", + "\n", + "0.0\n", "\n", - "\n", + "\n", + "\n", + "Atom_1_0_Position->86f1eeae-eb5b-4128-b302-e6c08119d1f7\n", + "\n", + "\n", + "cmso.hasComponent_z\n", + "\n", + "\n", "\n", - "7d430af6-14cd-4b74-bff7-0ecdde6d2594\n", - "\n", - "0.0\n", + "fd3a5002-93e5-4612-9909-84151e44254a\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "Atom_1_0_Position->7d430af6-14cd-4b74-bff7-0ecdde6d2594\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "Atom_1_0_Position->fd3a5002-93e5-4612-9909-84151e44254a\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "Sample_1\n", - "\n", - "Sample_1\n", + "\n", + "\n", + "CrystalStructure_1\n", + "\n", + "CrystalStructure_1\n", "\n", - "\n", - "\n", - "cmso.AtomicScaleSample\n", - "\n", - "cmso.AtomicScaleSample\n", + "\n", + "\n", + "cmso.CrystalStructure\n", + "\n", + "cmso.CrystalStructure\n", "\n", - "\n", - "\n", - "Sample_1->cmso.AtomicScaleSample\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "CrystalStructure_1->cmso.CrystalStructure\n", + "\n", + "\n", + "type\n", "\n", - "\n", + "\n", "\n", - "SimulationCell_1\n", - "\n", - "SimulationCell_1\n", + "7e43442a-2418-476a-b327-dca9559a5da8\n", + "\n", + "229\n", "\n", - "\n", - "\n", - "Sample_1->SimulationCell_1\n", - "\n", - "\n", - "cmso.hasSimulationCell\n", + "\n", + "\n", + "CrystalStructure_1->7e43442a-2418-476a-b327-dca9559a5da8\n", + "\n", + "\n", + "cmso.hasSpaceGroupNumber\n", "\n", - "\n", - "\n", - "908aae9e-41a1-49db-8b17-0016f59130c5\n", - "\n", - "2\n", + "\n", + "\n", + "UnitCell_1\n", + "\n", + "UnitCell_1\n", "\n", - "\n", - "\n", - "Sample_1->908aae9e-41a1-49db-8b17-0016f59130c5\n", - "\n", - "\n", - "cmso.hasNumberOfAtoms\n", + "\n", + "\n", + "CrystalStructure_1->UnitCell_1\n", + "\n", + "\n", + "cmso.hasUnitCell\n", "\n", - "\n", - "\n", - "Atom_1_0\n", - "\n", - "Atom_1_0\n", + "\n", + "\n", + "5016afa8-db30-42f6-938d-616a9ed96488\n", + "\n", + "Bcc\n", "\n", - "\n", + "\n", "\n", - "Sample_1->Atom_1_0\n", - "\n", - "\n", - "cmso.hasAtom\n", + "CrystalStructure_1->5016afa8-db30-42f6-938d-616a9ed96488\n", + "\n", + "\n", + "cmso.hasAltName\n", "\n", - "\n", - "\n", - "Atom_1_1\n", - "\n", - "Atom_1_1\n", + "\n", + "\n", + "2dac0ff7-3ae6-4fe9-b064-a27cdd5b4c9c\n", + "\n", + "Im-3M\n", "\n", - "\n", - "\n", - "Sample_1->Atom_1_1\n", - "\n", - "\n", - "cmso.hasAtom\n", + "\n", + "\n", + "CrystalStructure_1->2dac0ff7-3ae6-4fe9-b064-a27cdd5b4c9c\n", + "\n", + "\n", + "cmso.hasSpaceGroupSymbol\n", "\n", - "\n", - "\n", - "Material_1\n", - "\n", - "Material_1\n", + "\n", + "\n", + "cmso.SimulationCellAngle\n", + "\n", + "cmso.SimulationCellAngle\n", "\n", - "\n", - "\n", - "Sample_1->Material_1\n", - "\n", - "\n", - "cmso.hasMaterial\n", + "\n", + "\n", + "cmso.Angle\n", + "\n", + "cmso.Angle\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector01\n", - "\n", - "SimulationCell_1Vector01\n", + "\n", + "\n", + "cmso.SimulationCellAngle->cmso.Angle\n", + "\n", + "\n", + "subClassOf\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector01\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "DEG\n", + "\n", + "DEG\n", + "\n", + "\n", + "\n", + "cmso.Angle->DEG\n", + "\n", + "\n", + "cmso.hasUnit\n", "\n", "\n", - "\n", + "\n", "SimulationCell_1Angle\n", - "\n", - "SimulationCell_1Angle\n", + "\n", + "SimulationCell_1Angle\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Angle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "SimulationCell_1Angle->cmso.SimulationCellAngle\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector02\n", - "\n", - "SimulationCell_1Vector02\n", + "\n", + "\n", + "63f2d43f-60fb-4314-bc8a-ca61d68d2032\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector02\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "SimulationCell_1Angle->63f2d43f-60fb-4314-bc8a-ca61d68d2032\n", + "\n", + "\n", + "cmso.hasAngle_beta\n", "\n", - "\n", - "\n", - "SimulationCell_1Vector03\n", - "\n", - "SimulationCell_1Vector03\n", + "\n", + "\n", + "06fdadbb-4da2-443a-9ea6-1f8f8dac2206\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector03\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "SimulationCell_1Angle->06fdadbb-4da2-443a-9ea6-1f8f8dac2206\n", + "\n", + "\n", + "cmso.hasAngle_alpha\n", "\n", - "\n", - "\n", - "760dd089-4e96-4574-8139-b73c1b096d09\n", - "\n", - "1512.95\n", + "\n", + "\n", + "97ea3f7d-5c3b-4222-a31c-b5cbd8bea6b2\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - 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"\n", - "\n", - "Atom_2_4->e19c0647-e300-4022-969c-cca65ba803d1\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "4da40989-6c73-45f6-9a98-2917ecc34ed4\n", + "\n", + "Si\n", + "\n", + "\n", + "\n", + "Atom_2_5_Element->4da40989-6c73-45f6-9a98-2917ecc34ed4\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", "\n", - "\n", + "\n", "Atom_2_4_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "2d667f9f-7989-4798-b669-94af8d149c50\n", - "\n", - "Si\n", + "\n", + "\n", + "6dcc7f16-525a-41ec-a78f-3c93e0ae2c8f\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "Atom_2_4_Element->2d667f9f-7989-4798-b669-94af8d149c50\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "Atom_2_4_Element->6dcc7f16-525a-41ec-a78f-3c93e0ae2c8f\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "Atom_3_2_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "SimulationCell_3Angle->cmso.SimulationCellAngle\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "ec465b26-4ac5-4631-b36d-acfc0b0304ee\n", - "\n", - "1.785\n", + "\n", + "\n", + "df4721f1-1b11-466c-beaa-6eab60814097\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "Atom_3_2_Position->ec465b26-4ac5-4631-b36d-acfc0b0304ee\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "SimulationCell_3Angle->df4721f1-1b11-466c-beaa-6eab60814097\n", + "\n", + "\n", + "cmso.hasAngle_beta\n", "\n", - "\n", - "\n", - "2cde639f-eccc-4a7c-96e2-fb78ba97c912\n", - "\n", - "1.785\n", + "\n", + "\n", + "9811c875-f477-48f9-a0b8-8a7881a7955b\n", + "\n", + "90.0\n", "\n", - "\n", - "\n", - "Atom_3_2_Position->2cde639f-eccc-4a7c-96e2-fb78ba97c912\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "SimulationCell_3Angle->9811c875-f477-48f9-a0b8-8a7881a7955b\n", + "\n", + "\n", + "cmso.hasAngle_alpha\n", "\n", - "\n", - "\n", - "589ff07b-4068-45ef-93bf-6621f5262346\n", - "\n", - "0.0\n", + "\n", + "\n", + "9dca0a3f-f2be-4a7b-80f2-a18857b71158\n", + "\n", + "90.0\n", "\n", - "\n", + "\n", "\n", - "Atom_3_2_Position->589ff07b-4068-45ef-93bf-6621f5262346\n", - "\n", - "\n", - "cmso.hasComponent_x\n", - "\n", - "\n", - "\n", - "Atom_2_7_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "SimulationCell_3Angle->9dca0a3f-f2be-4a7b-80f2-a18857b71158\n", + "\n", + "\n", + "cmso.hasAngle_gamma\n", "\n", - "\n", - "\n", - "72222ded-bf37-4e8f-a686-663402762c13\n", - "\n", - "Si\n", - "\n", - "\n", - "\n", - "Atom_2_7_Element->72222ded-bf37-4e8f-a686-663402762c13\n", - "\n", - "\n", - "cmso.hasSymbol\n", - "\n", - "\n", - "\n", - "cmso.LatticeVector\n", - "\n", - "cmso.LatticeVector\n", + "\n", + "\n", + "SimulationCell_1->cmso.SimulationCell\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "cmso.LatticeVector->cmso.Vector\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "SimulationCell_1->SimulationCell_1Angle\n", + "\n", + "\n", + "cmso.hasAngle\n", "\n", - "\n", - "\n", - "SimulationCell_1Length->cmso.SimulationCellLength\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "SimulationCell_1->SimulationCell_1Vector01\n", + "\n", + "\n", + "cmso.hasVector\n", "\n", - "\n", - "\n", - "0599e06f-b2f2-4c8c-afeb-56e6e6e99868\n", - "\n", - "2.87\n", + "\n", + "\n", + "SimulationCell_1->SimulationCell_1Length\n", + "\n", + "\n", + "cmso.hasLength\n", "\n", - "\n", - "\n", - "SimulationCell_1Length->0599e06f-b2f2-4c8c-afeb-56e6e6e99868\n", - "\n", - "\n", - "cmso.hasLength_z\n", + "\n", + "\n", + "SimulationCell_1->SimulationCell_1Vector03\n", + "\n", + "\n", + "cmso.hasVector\n", "\n", - "\n", - "\n", - "43a9ce7d-5e70-48d3-94f7-67d83e238738\n", - "\n", - "2.87\n", + "\n", + "\n", + "SimulationCell_1->SimulationCell_1Vector02\n", + "\n", + "\n", + "cmso.hasVector\n", "\n", - "\n", - "\n", - "SimulationCell_1Length->43a9ce7d-5e70-48d3-94f7-67d83e238738\n", - "\n", - "\n", - "cmso.hasLength_x\n", + "\n", + "\n", + "bc39a339-babd-4442-8374-1dd729631074\n", + "\n", + "1512.95\n", "\n", - "\n", - "\n", - "2ddce2d8-1130-42d8-9ae0-542258e66369\n", - "\n", - "2.87\n", + "\n", + "\n", + "SimulationCell_1->bc39a339-babd-4442-8374-1dd729631074\n", + "\n", + "\n", + "cmso.hasVolume\n", "\n", - "\n", + "\n", "\n", - "SimulationCell_1Length->2ddce2d8-1130-42d8-9ae0-542258e66369\n", - "\n", - "\n", - "cmso.hasLength_y\n", - "\n", - "\n", - "\n", - "UnitCell_3->cmso.UnitCell\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "UnitCell_3->wiki.Q3006714\n", - "\n", - "\n", - "cmso.hasBravaisLattice\n", - "\n", - "\n", - "\n", - "UnitCell_3->UnitCell_3LatticeAngle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "Atom_3_3->Atom_3_3_Position\n", + "\n", + "\n", + "cmso.hasPositionVector\n", "\n", - "\n", - "\n", - "UnitCell_3->UnitCell_3LatticeParameter\n", - "\n", - "\n", - "cmso.hasLatticeParamter\n", + "\n", + "\n", + "Atom_3_3->cmso.Atom\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_2_1_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_3_3->Atom_3_3_Element\n", + "\n", + "\n", + "cmso.hasElement\n", "\n", - "\n", - "\n", - "28f62fae-b400-4122-9b97-ab47e73a9052\n", - "\n", - "Si\n", + "\n", + "\n", + "b9cd2ae3-23e0-4740-9cd0-d1e33c19ce8c\n", + "\n", + "12\n", "\n", - "\n", - "\n", - "Atom_2_1_Element->28f62fae-b400-4122-9b97-ab47e73a9052\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "Atom_3_3->b9cd2ae3-23e0-4740-9cd0-d1e33c19ce8c\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", "\n", - "\n", - "\n", - "Atom_1_0_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_2_0_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "5495930d-ba37-4714-80df-da283d232a83\n", - "\n", - "Fe\n", + "\n", + "\n", + "8c153f4f-981e-499d-9fb2-9fa2632699e4\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "Atom_1_0_Element->5495930d-ba37-4714-80df-da283d232a83\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "Atom_2_0_Element->8c153f4f-981e-499d-9fb2-9fa2632699e4\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "Atom_3_0_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_2_2->Atom_2_2_Position\n", + "\n", + "\n", + "cmso.hasPositionVector\n", "\n", - "\n", - "\n", - "b9d533ca-3a3d-41ec-934e-e0fb7dd0eefc\n", - "\n", - "0.0\n", + "\n", + "\n", + "Atom_2_2->Atom_2_2_Element\n", + "\n", + "\n", + "cmso.hasElement\n", "\n", - "\n", - "\n", - "Atom_3_0_Position->b9d533ca-3a3d-41ec-934e-e0fb7dd0eefc\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "Atom_2_2->cmso.Atom\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "bf9a17c8-545f-42c7-b23f-44d3736ca83b\n", - "\n", - "0.0\n", + "\n", + "\n", + "f2cef84f-dc3a-4121-8d15-30db4034bde4\n", + "\n", + "4\n", "\n", - "\n", - "\n", - "Atom_3_0_Position->bf9a17c8-545f-42c7-b23f-44d3736ca83b\n", - "\n", - "\n", - "cmso.hasComponent_x\n", + "\n", + "\n", + "Atom_2_2->f2cef84f-dc3a-4121-8d15-30db4034bde4\n", + "\n", + "\n", + "cmso.hasCoordinationNumber\n", "\n", - "\n", - "\n", - "1f52a6b7-3a69-4026-a4ca-1293b09a7155\n", - "\n", - "0.0\n", + "\n", + "\n", + "cmso.LatticeVector\n", + "\n", + "cmso.LatticeVector\n", "\n", - "\n", - "\n", - "Atom_3_0_Position->1f52a6b7-3a69-4026-a4ca-1293b09a7155\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "cmso.LatticeVector->cmso.Vector\n", + "\n", + "\n", + "subClassOf\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -5122,7 +5122,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, "outputs": [ @@ -5148,23 +5148,25 @@ "
\n", " \n", " hasAltNamevalue\n", + " ComputationalSample\n", "
\n", " \n", " \n", "
\n", " 0\n", " bcc\n", + " Sample_1\n", "
\n", " \n", "\n", "" ], "text/plain": [ - " hasAltNamevalue\n", - "0 bcc" + " hasAltNamevalue ComputationalSample\n", + "0 bcc Sample_1" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index c221c0b..b8e3feb 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -901,15 +901,16 @@ def query(self, inquery): return pd.DataFrame(res, columns=labels) raise ValueError("SPARQL query returned None") - def auto_query(self, source, destination, condition, return_query=False): - query = self.ontology.create_query(source, destination, condition) + def auto_query(self, source, destination, condition=None, return_query=False): + query = self.ontology.create_query(source, destination, condition=condition) if return_query: return query return self.query(query) - def query_sample(self, target_property, value, return_query=False): - raise NotImplementedError() + def query_sample(self, destination, condition=None, return_query=False): + return self.auto_query(self.ontology.terms.cmso.ComputationalSample, destination, + condition=condition, return_query=return_query) ################################# # Methods to interact with sample From a0f7b5bf3a6b6c8d3bda1f5cfa2e168945c7f4d9 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 11:33:04 +0100 Subject: [PATCH 39/49] fix write method --- examples/01_getting_started.ipynb | 8095 ++++++++++++++--------------- pyscal_rdf/graph.py | 4 +- 2 files changed, 4034 insertions(+), 4065 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index 606b478..f6e4858 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - 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"cmso.hasAngle_alpha\n", + "\n", + "\n", + "d2b35d3f-f3c7-4162-96b7-3b26bfcba97e\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "9dca0a3f-f2be-4a7b-80f2-a18857b71158\n", - "\n", - "90.0\n", + "\n", + "\n", + "UnitCell_1LatticeParameter->d2b35d3f-f3c7-4162-96b7-3b26bfcba97e\n", + "\n", + "\n", + "cmso.hasLength_x\n", "\n", - "\n", - "\n", - "SimulationCell_3Angle->9dca0a3f-f2be-4a7b-80f2-a18857b71158\n", - "\n", - "\n", - "cmso.hasAngle_gamma\n", + "\n", + "\n", + "9e8d12c3-f908-41d1-b458-052dd781fd99\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "SimulationCell_1->cmso.SimulationCell\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "UnitCell_1LatticeParameter->9e8d12c3-f908-41d1-b458-052dd781fd99\n", + "\n", + "\n", + "cmso.hasLength_y\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Angle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "UnitCell_1LatticeParameter->cmso.LatticeParameter\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector01\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "0ed0ada6-3440-4431-9c79-104a2fa6edfb\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Length\n", - "\n", - "\n", - "cmso.hasLength\n", + "\n", + "\n", + "UnitCell_1LatticeParameter->0ed0ada6-3440-4431-9c79-104a2fa6edfb\n", + "\n", + "\n", + "cmso.hasLength_z\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector03\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "04bb9db4-eb9b-4d6d-88ac-637db055c7d4\n", + "\n", + "3.57\n", "\n", - "\n", - "\n", - "SimulationCell_1->SimulationCell_1Vector02\n", - "\n", - "\n", - "cmso.hasVector\n", + "\n", + "\n", + "UnitCell_3LatticeParameter->04bb9db4-eb9b-4d6d-88ac-637db055c7d4\n", + "\n", + "\n", + "cmso.hasLength_z\n", "\n", - "\n", - "\n", - "bc39a339-babd-4442-8374-1dd729631074\n", - "\n", - "1512.95\n", + "\n", + "\n", + "UnitCell_3LatticeParameter->cmso.LatticeParameter\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "SimulationCell_1->bc39a339-babd-4442-8374-1dd729631074\n", - "\n", - "\n", - "cmso.hasVolume\n", + "\n", + "\n", + "041e9b26-b115-462c-9113-90a416778194\n", + "\n", + "3.57\n", "\n", - "\n", - "\n", - "Atom_3_3->Atom_3_3_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "UnitCell_3LatticeParameter->041e9b26-b115-462c-9113-90a416778194\n", + "\n", + "\n", + "cmso.hasLength_x\n", "\n", - "\n", - "\n", - "Atom_3_3->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "c0e4a486-d4ec-4b69-abbf-5e341fa13d5a\n", + "\n", + "3.57\n", "\n", - "\n", - "\n", - "Atom_3_3->Atom_3_3_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "UnitCell_3LatticeParameter->c0e4a486-d4ec-4b69-abbf-5e341fa13d5a\n", + "\n", + "\n", + "cmso.hasLength_y\n", "\n", - "\n", - "\n", - "b9cd2ae3-23e0-4740-9cd0-d1e33c19ce8c\n", - "\n", - "12\n", + "\n", + "\n", + "Atom_2_5_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_3_3->b9cd2ae3-23e0-4740-9cd0-d1e33c19ce8c\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "dc1c02bb-bd80-463c-93ce-7607bc25164c\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "Atom_2_0_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_2_5_Element->dc1c02bb-bd80-463c-93ce-7607bc25164c\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "8c153f4f-981e-499d-9fb2-9fa2632699e4\n", - "\n", - "Si\n", + "\n", + "\n", + "Atom_1_0_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_2_0_Element->8c153f4f-981e-499d-9fb2-9fa2632699e4\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "e3d51539-fc81-4cbf-8c13-756f098f6de3\n", + "\n", + "Fe\n", "\n", - "\n", - "\n", - "Atom_2_2->Atom_2_2_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "Atom_1_0_Element->e3d51539-fc81-4cbf-8c13-756f098f6de3\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "Atom_2_2->Atom_2_2_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "cmso.LatticeParameter->cmso.Length\n", + "\n", + "\n", + "subClassOf\n", "\n", - "\n", - "\n", - "Atom_2_2->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_2_6_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "f2cef84f-dc3a-4121-8d15-30db4034bde4\n", - "\n", - "4\n", + "\n", + "\n", + "ec9d8547-1c07-4f05-8041-0aad638c323a\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "Atom_2_2->f2cef84f-dc3a-4121-8d15-30db4034bde4\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "Atom_2_6_Element->ec9d8547-1c07-4f05-8041-0aad638c323a\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", "\n", - "\n", + "\n", "cmso.LatticeVector\n", - "\n", - "cmso.LatticeVector\n", + "\n", + "cmso.LatticeVector\n", "\n", "\n", - "\n", + "\n", "cmso.LatticeVector->cmso.Vector\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "subClassOf\n", + "\n", + "\n", + "\n", + "Atom_3_0_Element->cmso.Element\n", + "\n", + "\n", + "type\n", + "\n", + "\n", + "\n", + "dd52055f-b79c-436e-b4f8-6cf6e15235fc\n", + "\n", + "Al\n", + "\n", + "\n", + "\n", + "Atom_3_0_Element->dd52055f-b79c-436e-b4f8-6cf6e15235fc\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -5122,7 +5122,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, "outputs": [ @@ -5166,77 +5166,44 @@ "0 bcc Sample_1" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", - " condition=(g.ontology.terms.cmso.hasAltName=='bcc'))" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "4bc496f1-11c8-49d0-afe2-56386a313b2d", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "q = Query()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "432be248-e367-4ef8-809b-c8987f03712e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "samples = q.sparql.sample_by_latticesystem(g, 'Q851536')" + "res = g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", + " condition=(g.ontology.terms.cmso.hasAltName=='bcc'))\n", + "res" ] }, { "cell_type": "markdown", - "id": "1e827b4b-e762-4748-be36-ae7ac0d9a60a", + "id": "39acbab2-4912-47c7-b24f-a79e1791fbbc", "metadata": {}, "source": [ - "We can check how many samples we found" + "As expected, there is only one sample, since Fe is the only bcc structure we added. We can extract the sample" ] }, { "cell_type": "code", - "execution_count": 26, - "id": "2914053c-7139-4b20-9198-e71cb5b8285a", - "metadata": { - "tags": [] - }, + "execution_count": 17, + "id": "efde861c-b9dd-4b97-861b-a330bbd95de0", + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "0" + "rdflib.term.BNode('Sample_1')" ] }, - "execution_count": 26, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "len(samples)" - ] - }, - { - "cell_type": "markdown", - "id": "39acbab2-4912-47c7-b24f-a79e1791fbbc", - "metadata": {}, - "source": [ - "As expected, there is only one sample" + "res.ComputationalSample[0]" ] }, { diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index b8e3feb..a48689f 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -866,7 +866,9 @@ def to_file(self, sample, filename=None, format="lammps-dump"): if filename is None: filename = os.path.join(os.getcwd(), "out") + sys = self.get_system_from_sample(sample) + if format=="ase": return sys.to_ase() elif format=='poscar': @@ -875,7 +877,7 @@ def to_file(self, sample, filename=None, format="lammps-dump"): else: #asesys = sys.to_ase() #write(filename, asesys, format=format) - sys.to_file(filename, format=format) + sys.write.file(filename, format=format) def query(self, inquery): From ae4265d2b56beef8a49df1d3fb357f5c5a4dcdae Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 11:35:12 +0100 Subject: [PATCH 40/49] fix write method --- examples/01_getting_started.ipynb | 8055 ++++++++++++++--------------- pyscal_rdf/graph.py | 2 +- 2 files changed, 4023 insertions(+), 4034 deletions(-) diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index f6e4858..187556b 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Atom_1_1_Element\n", - "\n", - "Atom_1_1_Element\n", + "cmso.SimulationCellLength\n", + "\n", + "cmso.SimulationCellLength\n", "\n", - "\n", + "\n", "\n", - "cmso.Element\n", - "\n", - "cmso.Element\n", + "cmso.Length\n", + "\n", + "cmso.Length\n", "\n", - "\n", + "\n", "\n", - "Atom_1_1_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "cmso.SimulationCellLength->cmso.Length\n", + "\n", + "\n", + "subClassOf\n", "\n", - "\n", - "\n", - "3eb2d39c-6647-4500-ba0a-194e9f904283\n", - "\n", - "Fe\n", + "\n", + "\n", + "ANGSTROM\n", + "\n", + "ANGSTROM\n", "\n", - "\n", - "\n", - "Atom_1_1_Element->3eb2d39c-6647-4500-ba0a-194e9f904283\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "cmso.Length->ANGSTROM\n", + "\n", + "\n", + "cmso.hasUnit\n", "\n", - "\n", + "\n", "\n", - "Atom_1_0_Position\n", - "\n", - "Atom_1_0_Position\n", + "Material_1\n", + "\n", + "Material_1\n", "\n", - "\n", + "\n", "\n", - "cmso.PositionVector\n", - "\n", - "cmso.PositionVector\n", + "cmso.CrystallineMaterial\n", + "\n", + "cmso.CrystallineMaterial\n", "\n", - "\n", + "\n", "\n", - "Atom_1_0_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", + "Material_1->cmso.CrystallineMaterial\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "11604814-d60b-49c1-a14d-393304d88a4f\n", - "\n", - "0.0\n", + "\n", + "\n", + "CrystalStructure_1\n", + "\n", + "CrystalStructure_1\n", "\n", - "\n", - "\n", - "Atom_1_0_Position->11604814-d60b-49c1-a14d-393304d88a4f\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "Material_1->CrystalStructure_1\n", + "\n", + "\n", + "cmso.hasStructure\n", "\n", - "\n", - "\n", - "212f5982-7853-4ec3-9b91-dd324f117271\n", - "\n", - "0.0\n", + "\n", + "\n", + "31e60407-2fc8-4236-beae-c1d2b98b769f\n", + "\n", + "Fe=1.0\n", "\n", - "\n", - "\n", - "Atom_1_0_Position->212f5982-7853-4ec3-9b91-dd324f117271\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "Material_1->31e60407-2fc8-4236-beae-c1d2b98b769f\n", + "\n", + "\n", + "cmso.hasElementRatio\n", "\n", - "\n", - "\n", - "07e4b32e-8d28-47f4-869b-ad456231aa9f\n", - "\n", - "0.0\n", + "\n", + "\n", + "SimulationCell_1Vector01\n", + "\n", + "SimulationCell_1Vector01\n", "\n", - "\n", - "\n", - "Atom_1_0_Position->07e4b32e-8d28-47f4-869b-ad456231aa9f\n", - "\n", - "\n", - 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"execution_count": 13, + "execution_count": 11, "id": "08f1d892-64a8-40ce-af52-657ef4f59baf", "metadata": {}, "outputs": [ @@ -5166,7 +5166,7 @@ "0 bcc Sample_1" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -5187,23 +5187,12 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 12, "id": "efde861c-b9dd-4b97-861b-a330bbd95de0", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "rdflib.term.BNode('Sample_1')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "res.ComputationalSample[0]" + "sample = res.ComputationalSample[0]" ] }, { @@ -5216,19 +5205,19 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "id": "0cb6b043-abb3-41ca-bee7-fb3bf1e7e615", "metadata": { "tags": [] }, "outputs": [], "source": [ - "g.to_file(samples[0], 'bcc.data', format=\"lammps-data\")" + "g.to_file(sample, 'bcc.data', format=\"lammps-data\")" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "id": "ae884716-a31b-4170-b4d4-9cf8309a6d74", "metadata": { "tags": [] diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index a48689f..3b30412 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -870,7 +870,7 @@ def to_file(self, sample, filename=None, format="lammps-dump"): sys = self.get_system_from_sample(sample) if format=="ase": - return sys.to_ase() + return sys.write.ase() elif format=='poscar': asesys = sys.to_ase() write(filename, asesys, format="vasp") From 9bf45fe7cc12c838bc8e08274430ba57e2032f67 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 11:59:54 +0100 Subject: [PATCH 41/49] fix GB terms --- examples/01_getting_started.ipynb | 8018 ++++++++++++++--------------- examples/02_using_databases.ipynb | 33 - pyscal_rdf/graph.py | 8 +- 3 files changed, 4004 insertions(+), 4055 deletions(-) delete mode 100644 examples/02_using_databases.ipynb diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index 187556b..124cfcd 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - 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"\n", - "\n", - "8475305e-05ba-492e-9183-208fdb6e2287\n", - "\n", - "Ni\n", + "\n", + "\n", + "Atom_2_3_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_3_1_Element->8475305e-05ba-492e-9183-208fdb6e2287\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "819bb672-6a27-4c4a-9388-f89177f84a66\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "Atom_1_0_Element->cmso.Element\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "Atom_2_3_Element->819bb672-6a27-4c4a-9388-f89177f84a66\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", - "\n", - "\n", - "f34587fa-c603-455f-99f3-a5c3923d9b6b\n", - "\n", - "Fe\n", + "\n", + "\n", + "Atom_2_2_Element->cmso.Element\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_1_0_Element->f34587fa-c603-455f-99f3-a5c3923d9b6b\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "2618ed7c-6828-4bbd-a752-5b252e8c9d3e\n", + "\n", + "Si\n", "\n", - "\n", - "\n", - "cmso.LatticeAngle->cmso.Angle\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "Atom_2_2_Element->2618ed7c-6828-4bbd-a752-5b252e8c9d3e\n", + "\n", + "\n", + "cmso.hasSymbol\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -5259,19 +5259,19 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "id": "7ba5d551-f85b-4c33-be37-b997feffd7d7", "metadata": { "tags": [] }, "outputs": [], "source": [ - "aseobj = g.to_file(samples[0], format=\"ase\")" + "aseobj = g.to_file(sample, format=\"ase\")" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "id": "f4a90cbe-cf6a-4285-a0d2-b7525726c6dc", "metadata": { "tags": [] @@ -5283,7 +5283,7 @@ "Atoms(symbols='Fe2', pbc=True, cell=[2.87, 2.87, 2.87])" ] }, - "execution_count": 18, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -5292,24 +5292,6 @@ "aseobj" ] }, - { - "cell_type": "markdown", - "id": "19d60691-8126-4688-b43f-7ddd7e3b6ec7", - "metadata": {}, - "source": [ - "## Grain boundaries\n", - "\n", - "Still under active development (early stages).." - ] - }, - { - "cell_type": "markdown", - "id": "7112cdcd-66c7-457d-9005-1aad5989083b", - "metadata": {}, - "source": [ - "We start by creating a $\\Sigma 5 (3 \\bar{1} 0)$" - ] - }, { "cell_type": "code", "execution_count": 19, diff --git a/examples/02_using_databases.ipynb b/examples/02_using_databases.ipynb deleted file mode 100644 index d6bd2e3..0000000 --- a/examples/02_using_databases.ipynb +++ /dev/null @@ -1,33 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "5790e4fe-b822-4105-9a80-41d1c3c78ec5", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index 3b30412..ec1b78d 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -611,13 +611,13 @@ def add_gb(self, gb_dict, name=None): if gb_dict["GBType"] is None: self.add((plane_defect_01, RDF.type, PLDO.GrainBoundary)) elif gb_dict["GBType"] == "Twist": - self.add((plane_defect_01, RDF.type, PLDO.TwistBoundary)) + self.add((plane_defect_01, RDF.type, PLDO.TwistGrainBoundary)) elif gb_dict["GBType"] == "Tilt": - self.add((plane_defect_01, RDF.type, PLDO.TiltBoundary)) + self.add((plane_defect_01, RDF.type, PLDO.TiltGrainBoundary)) elif gb_dict["GBType"] == "Symmetric Tilt": - self.add((plane_defect_01, RDF.type, PLDO.SymmetricTiltBoundary)) + self.add((plane_defect_01, RDF.type, PLDO.SymmetricTiltGrainBoundary)) elif gb_dict["GBType"] == "Mixed": - self.add((plane_defect_01, RDF.type, PLDO.MixedBoundary)) + self.add((plane_defect_01, RDF.type, PLDO.MixedGrainBoundary)) self.add((plane_defect_01, PLDO.hasSigmaValue, Literal(gb_dict["sigma"], datatype=XSD.integer))) #now mark that the defect is GB From 32c222d75aaac658b770498cb1c7fbc98fbe6756 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 12:20:25 +0100 Subject: [PATCH 42/49] enforce types of end members --- pyscal_rdf/network/network.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 229b4fa..09e0a9e 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -203,7 +203,7 @@ def create_query(self, source, destinations, condition=None): if not isinstance(destinations, list): destinations = [destinations] - source = source.query_name + source_name = source.query_name destination_names = [destination.query_name for destination in destinations] #if condition is specified, and is not there, add it @@ -212,9 +212,9 @@ def create_query(self, source, destinations, condition=None): destination_names.append(condition.query_name) #add source if not available - if source not in destination_names: - destination_names.append(source) - + if source_name not in destination_names: + destination_names.append(source_name) + #start prefix of query query = [] for key, val in self.namespaces.items(): @@ -225,7 +225,7 @@ def create_query(self, source, destinations, condition=None): #now for each destination, start adding the paths in the query all_triplets = {} for destination in destination_names: - triplets = self.get_shortest_path(source, destination, triples=True) + triplets = self.get_shortest_path(source_name, destination, triples=True) all_triplets[destination] = triplets select_destinations = [f'?{self.strip_name(destination)}' for destination in destination_names] @@ -239,6 +239,10 @@ def create_query(self, source, destinations, condition=None): triple[1], self.strip_name(triple[2]))) + #we enforce types of the source and destination + query.append(" ?%s rdf:type %s ."%(source_name, source.name)) + for (destination_name, destination) in zip(destination_names, destinations): + query.append(" ?%s rdf:type %s ."%(destination_name, destination.name)) #now we have to add filters #filters are only needed if it is a dataproperty filter_text = '' From fe4a998b2aa18c5afcb0d21f8004371445e0a1e9 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 12:36:23 +0100 Subject: [PATCH 43/49] add possibility to enforce types --- pyscal_rdf/graph.py | 10 ++++++---- pyscal_rdf/network/network.py | 9 +++++---- 2 files changed, 11 insertions(+), 8 deletions(-) diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index ec1b78d..3267712 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -903,16 +903,18 @@ def query(self, inquery): return pd.DataFrame(res, columns=labels) raise ValueError("SPARQL query returned None") - def auto_query(self, source, destination, condition=None, return_query=False): - query = self.ontology.create_query(source, destination, condition=condition) + def auto_query(self, source, destination, + condition=None, return_query=False, enforce_types=True): + query = self.ontology.create_query(source, destination, + condition=condition, enforce_types=enforce_types) if return_query: return query return self.query(query) - def query_sample(self, destination, condition=None, return_query=False): + def query_sample(self, destination, condition=None, return_query=False, enforce_types=True): return self.auto_query(self.ontology.terms.cmso.ComputationalSample, destination, - condition=condition, return_query=return_query) + condition=condition, return_query=return_query, enforce_types=enforce_types) ################################# # Methods to interact with sample diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 09e0a9e..04bfb03 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -196,7 +196,7 @@ def get_path_from_sample(self, target): return path - def create_query(self, source, destinations, condition=None): + def create_query(self, source, destinations, condition=None, enforce_types=True): """ values is a dict with keys value, operation """ @@ -240,9 +240,10 @@ def create_query(self, source, destinations, condition=None): self.strip_name(triple[2]))) #we enforce types of the source and destination - query.append(" ?%s rdf:type %s ."%(source_name, source.name)) - for (destination_name, destination) in zip(destination_names, destinations): - query.append(" ?%s rdf:type %s ."%(destination_name, destination.name)) + if enforce_types: + query.append(" ?%s rdf:type %s ."%(self.strip_name(source.query_name), source.query_name)) + for destination in destinations: + query.append(" ?%s rdf:type %s ."%(self.strip_name(destination.query_name), destination.query_name)) #now we have to add filters #filters are only needed if it is a dataproperty filter_text = '' From e49181ed3bb19a9741e5636f44f54898697feb3a Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 14:50:39 +0100 Subject: [PATCH 44/49] fix GB formulation --- pyscal_rdf/graph.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index 3267712..c418608 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -615,7 +615,7 @@ def add_gb(self, gb_dict, name=None): elif gb_dict["GBType"] == "Tilt": self.add((plane_defect_01, RDF.type, PLDO.TiltGrainBoundary)) elif gb_dict["GBType"] == "Symmetric Tilt": - self.add((plane_defect_01, RDF.type, PLDO.SymmetricTiltGrainBoundary)) + self.add((plane_defect_01, RDF.type, PLDO.SymmetricalTiltGrainBoundary)) elif gb_dict["GBType"] == "Mixed": self.add((plane_defect_01, RDF.type, PLDO.MixedGrainBoundary)) self.add((plane_defect_01, PLDO.hasSigmaValue, Literal(gb_dict["sigma"], datatype=XSD.integer))) @@ -913,7 +913,7 @@ def auto_query(self, source, destination, def query_sample(self, destination, condition=None, return_query=False, enforce_types=True): - return self.auto_query(self.ontology.terms.cmso.ComputationalSample, destination, + return self.auto_query(self.ontology.terms.cmso.AtomicScaleSample, destination, condition=condition, return_query=return_query, enforce_types=enforce_types) ################################# From 5d1882e5e027e3945a25ff6449ef45385e988c69 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 15:00:59 +0100 Subject: [PATCH 45/49] only fix types for classes --- pyscal_rdf/network/network.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/pyscal_rdf/network/network.py b/pyscal_rdf/network/network.py index 04bfb03..3c3ddcd 100644 --- a/pyscal_rdf/network/network.py +++ b/pyscal_rdf/network/network.py @@ -241,9 +241,11 @@ def create_query(self, source, destinations, condition=None, enforce_types=True) #we enforce types of the source and destination if enforce_types: - query.append(" ?%s rdf:type %s ."%(self.strip_name(source.query_name), source.query_name)) + if source.node_type == 'class': + query.append(" ?%s rdf:type %s ."%(self.strip_name(source.query_name), source.query_name)) for destination in destinations: - query.append(" ?%s rdf:type %s ."%(self.strip_name(destination.query_name), destination.query_name)) + if destination.node_type == 'class': + query.append(" ?%s rdf:type %s ."%(self.strip_name(destination.query_name), destination.query_name)) #now we have to add filters #filters are only needed if it is a dataproperty filter_text = '' From 07c65aa32f17aad635413f17a50e405d9d6f5236 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 15:03:41 +0100 Subject: [PATCH 46/49] fix more write methods --- pyscal_rdf/graph.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/pyscal_rdf/graph.py b/pyscal_rdf/graph.py index c418608..3b97e4f 100644 --- a/pyscal_rdf/graph.py +++ b/pyscal_rdf/graph.py @@ -872,12 +872,11 @@ def to_file(self, sample, filename=None, format="lammps-dump"): if format=="ase": return sys.write.ase() elif format=='poscar': - asesys = sys.to_ase() + asesys = sys.write.ase() write(filename, asesys, format="vasp") else: - #asesys = sys.to_ase() - #write(filename, asesys, format=format) - sys.write.file(filename, format=format) + asesys = sys.write.ase() + write(filename, asesys, format=format) def query(self, inquery): From a01518cabc282e9820f176e0ce52946125815be0 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 15:05:56 +0100 Subject: [PATCH 47/49] update examples --- examples/01_getting_started.ipynb | 8222 ++++++++++++++-------------- examples/02_grain_boundaries.ipynb | 1597 ++++++ 2 files changed, 5618 insertions(+), 4201 deletions(-) create mode 100644 examples/02_grain_boundaries.ipynb diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index 124cfcd..52283a3 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -117,1046 +117,1046 @@ "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "CrystalStructure_1\n", - "\n", - "CrystalStructure_1\n", + "SimulationCell_1Length\n", + "\n", + "SimulationCell_1Length\n", "\n", - "\n", + "\n", "\n", - "cmso.CrystalStructure\n", - "\n", - "cmso.CrystalStructure\n", + "48d2c363-3ee1-4f79-953f-71d4b7d38c77\n", + "\n", + "2.87\n", "\n", - "\n", + "\n", "\n", - "CrystalStructure_1->cmso.CrystalStructure\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "UnitCell_1\n", - "\n", - "UnitCell_1\n", - "\n", - "\n", - "\n", - "CrystalStructure_1->UnitCell_1\n", - "\n", - "\n", - "cmso.hasUnitCell\n", + "SimulationCell_1Length->48d2c363-3ee1-4f79-953f-71d4b7d38c77\n", + "\n", + "\n", + "cmso.hasLength_x\n", "\n", - "\n", - "\n", - "5f03881d-3516-42bf-8900-53f30f1094bf\n", - "\n", - "229\n", + "\n", + "\n", + "453b511f-5077-4950-9fd2-c053ff17f3aa\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "CrystalStructure_1->5f03881d-3516-42bf-8900-53f30f1094bf\n", - "\n", - "\n", - "cmso.hasSpaceGroupNumber\n", + "\n", + "\n", + "SimulationCell_1Length->453b511f-5077-4950-9fd2-c053ff17f3aa\n", + "\n", + "\n", + "cmso.hasLength_y\n", "\n", - "\n", - "\n", - "f8484b75-f4bd-4b7f-b294-09a31465549f\n", - "\n", - "Bcc\n", + "\n", + "\n", + "cmso.SimulationCellLength\n", + "\n", + "cmso.SimulationCellLength\n", "\n", - "\n", - "\n", - "CrystalStructure_1->f8484b75-f4bd-4b7f-b294-09a31465549f\n", - "\n", - "\n", - "cmso.hasAltName\n", + "\n", + "\n", + "SimulationCell_1Length->cmso.SimulationCellLength\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "9ca456f4-1ada-47cc-9d95-2c8087ad04d6\n", - "\n", - "Im-3M\n", + "\n", + "\n", + "a0f55cb6-28e5-49e6-a533-e2cf279d7646\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "CrystalStructure_1->9ca456f4-1ada-47cc-9d95-2c8087ad04d6\n", - "\n", - "\n", - "cmso.hasSpaceGroupSymbol\n", + "\n", + "\n", + "SimulationCell_1Length->a0f55cb6-28e5-49e6-a533-e2cf279d7646\n", + "\n", + "\n", + "cmso.hasLength_z\n", "\n", - "\n", + "\n", "\n", - "UnitCell_1LatticeParameter\n", - "\n", - "UnitCell_1LatticeParameter\n", + "cmso.SimulationCellAngle\n", + "\n", + "cmso.SimulationCellAngle\n", "\n", - 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\n", " \n", " hasAltNamevalue\n", - " ComputationalSample\n", + " AtomicScaleSample\n", "
\n", " \n", " \n", @@ -5162,8 +5162,8 @@ "" ], "text/plain": [ - " hasAltNamevalue ComputationalSample\n", - "0 bcc Sample_1" + " hasAltNamevalue AtomicScaleSample\n", + "0 bcc Sample_1" ] }, "execution_count": 11, @@ -5172,7 +5172,7 @@ } ], "source": [ - "res = g.auto_query(g.ontology.terms.cmso.ComputationalSample, g.ontology.terms.cmso.hasAltName, \n", + "res = g.query_sample(g.ontology.terms.cmso.hasAltName, \n", " condition=(g.ontology.terms.cmso.hasAltName=='bcc'))\n", "res" ] @@ -5187,12 +5187,12 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "efde861c-b9dd-4b97-861b-a330bbd95de0", "metadata": {}, "outputs": [], "source": [ - "sample = res.ComputationalSample[0]" + "sample = res.AtomicScaleSample[0]" ] }, { @@ -5205,7 +5205,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "0cb6b043-abb3-41ca-bee7-fb3bf1e7e615", "metadata": { "tags": [] @@ -5217,7 +5217,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "ae884716-a31b-4170-b4d4-9cf8309a6d74", "metadata": { "tags": [] @@ -5259,7 +5259,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "7ba5d551-f85b-4c33-be37-b997feffd7d7", "metadata": { "tags": [] @@ -5271,7 +5271,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "id": "f4a90cbe-cf6a-4285-a0d2-b7525726c6dc", "metadata": { "tags": [] @@ -5283,7 +5283,7 @@ "Atoms(symbols='Fe2', pbc=True, cell=[2.87, 2.87, 2.87])" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -5291,186 +5291,6 @@ "source": [ "aseobj" ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "8e0bf115-0cc7-4c68-b97f-ff6a1cfb7558", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "struct_gb_1 = g.create_grain_boundary(axis=[0,0,1], \n", - " sigma=5, \n", - " gb_plane=[3, -1, 0],\n", - " element='Fe')" - ] - }, - { - "cell_type": "markdown", - "id": "72f46586-d1d1-4505-beaf-21effbb69c8b", - "metadata": {}, - "source": [ - "Some other examples, $\\Sigma 19 (\\bar{3}20)$ and $\\Sigma 19 (111)$" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "9b5ee7b6-17d4-44c5-a3d4-46d088abdf99", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "struct_gb_2 = g.create_grain_boundary(axis=[1,1,1], \n", - " sigma=19, \n", - " gb_plane=[-3, 2, 0],\n", - " element='Fe')\n", - "\n", - "struct_gb_3 = g.create_grain_boundary(axis=[1,1,1], \n", - " sigma=19, \n", - " gb_plane=[-1, -1, -1],\n", - " element='Fe')" - ] - }, - { - "cell_type": "markdown", - "id": "e1187181-4bd6-4a34-b4f8-2afe3105574a", - "metadata": {}, - "source": [ - "**What are all the samples with symmetric tilt grain boundaries?**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "1266a23a-e6f3-4e19-a52b-86a54082a461", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "samples = q.sparql.sample_by_defect(g, \"symmetric tilt\")" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "02d26b92-6fc4-48a2-9d06-c852efc320ee", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[rdflib.term.BNode('Sample_4')]" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "samples" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "1ecc7de1-414d-46a7-b79e-c61a0017eb5c", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "g.to_file(samples[0], filename=\"POSCAR\", format=\"poscar\")" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "6daf829f-5ff2-4e1f-a53c-0511c672770f", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fe \n", - " 1.0000000000000000\n", - " 18.1514737599999982 0.0000000000000000 0.0000000000000000\n", - " 0.0000000000000000 2.8700000000000001 0.0000000000000000\n", - " 0.0000000000000000 0.0000000000000000 9.0757368799999991\n", - " Fe \n", - " 40\n", - "Cartesian\n", - " 0.9075736884683251 1.4350000000000001 7.2605895077465998\n", - " 0.0000000000000001 1.4350000000000001 4.5378684423416242\n", - " 2.7227210654049747 0.0000000000000000 8.1681631962149233\n", - " 3.6302947538732999 1.4350000000000001 6.3530158192782746\n", - " 1.8151473769366500 0.0000000000000000 5.4454421308099494\n", - " 2.7227210654049747 1.4350000000000001 3.6302947538732999\n", - " 0.9075736884683250 0.0000000000000000 2.7227210654049747\n", - " 1.8151473769366500 1.4350000000000001 0.9075736884683248\n", - " 0.0000000000000000 0.0000000000000000 0.0000000000000000\n", - " 7.2605895077465998 1.4350000000000001 8.1681631962149233\n", - " 5.4454421308099494 0.0000000000000000 7.2605895077465998\n", - " 6.3530158192782746 1.4350000000000001 5.4454421308099494\n" - ] - } - ], - "source": [ - "! head -20 POSCAR" - ] - }, - { - "cell_type": "markdown", - "id": "ba62b487-f53b-45c8-a2ee-4afcfddaa1df", - "metadata": {}, - "source": [ - "**What are all the samples with boundaries with sigma values between 7 and 21?**" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "fe8f8709-41f6-466a-8b77-b6eeb385b5aa", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "samples = q.sparql.sample_by_sigma(g, [7, 21])" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "36c55f2c-f235-4535-a8f7-ff8ce6c7254b", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(samples)" - ] } ], "metadata": { diff --git a/examples/02_grain_boundaries.ipynb b/examples/02_grain_boundaries.ipynb new file mode 100644 index 0000000..eebce9f --- /dev/null +++ b/examples/02_grain_boundaries.ipynb @@ -0,0 +1,1597 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c4e13f9a-8d8e-4fa7-bc0b-7cd1ae952220", + "metadata": {}, + "source": [ + "# Creating Grain Boundaries" + ] + }, + { + "cell_type": "markdown", + "id": "5f761562-002e-4b60-85ac-d837cdf87159", + "metadata": {}, + "source": [ + "In this notebook, creation and querying of GBs are discussed. These features are still under active development." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f88eacd6-1bdc-4321-9e80-3d2720d318a1", + "metadata": {}, + "outputs": [], + "source": [ + "from pyscal_rdf import StructureGraph" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "0d94b8db-5ac8-4c24-9353-adf76ffef865", + "metadata": {}, + "outputs": [], + "source": [ + "g = StructureGraph()" + ] + }, + { + "cell_type": "markdown", + "id": "3e0f6b30-7f4b-4d6a-aeca-a2c72d78ae60", + "metadata": {}, + "source": [ + "We start by creating a $\\Sigma 5 (3 \\bar{1} 0)$" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "39d31155-30e2-4b02-91a6-35a25b04c8d4", + "metadata": {}, + "outputs": [], + "source": [ + "struct_gb_1 = g.create.defect.grain_boundary(axis=[0,0,1], \n", + " sigma=5, \n", + " gb_plane=[3, -1, 0],\n", + " element='Fe')" + ] + }, + { + "cell_type": "markdown", + "id": "717626e5-3672-470e-a9d9-2878310268ca", + "metadata": {}, + "source": [ + "We can visualise the structure" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a70df0e4-caa4-40c6-82b8-a1f32d477479", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+f+\" / -\"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" ± \"+f,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+h+\" / -\"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" ± \"+h,\"y\"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&\"all\"!==p&&(-1===(p=Array.isArray(p)?p:p.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===p.indexOf(\"y\")&&(t.yLabel=void 0),-1===p.indexOf(\"z\")&&(t.zLabel=void 0),-1===p.indexOf(\"text\")&&(t.text=void 0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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P,O,I=a.readability(C.color,d)<1.5?p.contrast(d):C.color,D=n.spikemode,z=n.spikethickness,R=n.spikecolor||I,F=v.getPxPosition(t,n);if(-1!==D.indexOf(\"toaxis\")||-1!==D.indexOf(\"across\")){if(-1!==D.indexOf(\"toaxis\")&&(P=F,O=L),-1!==D.indexOf(\"across\")){var B=n._counterDomainMin,N=n._counterDomainMax;\"free\"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,O=l.t+(1-B)*l.h}o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":z,stroke:R,\"stroke-dasharray\":h.dashStyle(n.spikedash,z)}).classed(\"spikeline\",!0).classed(\"crisp\",!0),o.insert(\"line\",\":first-child\").attr({x1:E,x2:E,y1:P,y2:O,\"stroke-width\":z+2,stroke:d}).classed(\"spikeline\",!0).classed(\"crisp\",!0)}-1!==D.indexOf(\"marker\")&&o.insert(\"circle\",\":first-child\").attr({cx:E,cy:F-(\"top\"!==n.side?z:-z),r:z,fill:R}).classed(\"spikeline\",!0)}}}function 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n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n0?function(t,e){var r,n,i,a=[];for(i=0;i0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var 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n=r(50215),i=r(41940),a=r(82196).line,o=r(79952).P,s=r(1426).extendFlat,l=r(44467).templatedArray,u=(r(24695),r(9012)),c=r(5386).R,f=r(37281);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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r=\"path\"!==e.type,n=t.selectAll(\".visual-cue\").data([0]);n.enter().append(\"path\").attr({fill:\"#fff\",\"fill-rule\":\"evenodd\",stroke:\"#000\",\"stroke-width\":1}).classed(\"visual-cue\",!0);var i=W(B?e.xanchor:a.midRange(r?[e.x0,e.x1]:y.extractPathCoords(e.path,g.paramIsX))),o=X(N?e.yanchor:a.midRange(r?[e.y0,e.y1]:y.extractPathCoords(e.path,g.paramIsY)));if(i=y.roundPositionForSharpStrokeRendering(i,1),o=y.roundPositionForSharpStrokeRendering(o,1),B&&N){var s=\"M\"+(i-1-1)+\",\"+(o-1-1)+\"h-8v2h8 v8h2v-8 h8v-2h-8 v-8h-2 Z\";n.attr(\"d\",s)}else if(B){var l=\"M\"+(i-1-1)+\",\"+(o-9-1)+\"v18 h2 v-18 Z\";n.attr(\"d\",l)}else{var u=\"M\"+(i-9-1)+\",\"+(o-1-1)+\"h18 v2 h-18 Z\";n.attr(\"d\",u)}}()}function it(t){t.selectAll(\".visual-cue\").remove()}d.init(Q),$.node().onmousemove=tt}(t,F,c,e,r,z):!0===c.editable&&F.style(\"pointer-events\",I||f.opacity(L)*E<=.5?\"stroke\":\"all\");F.node().addEventListener(\"click\",(function(){return function(t,e){if(_(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeShapeIndex)return void A(t);t._fullLayout._activeShapeIndex=r,t._fullLayout._deactivateShape=A,x(t)}}}(t,F)}))}c._input&&!0===c.visible&&(\"below\"!==c.layer?M(t._fullLayout._shapeUpperLayer):\"paper\"===c.xref||\"paper\"===c.yref?M(t._fullLayout._shapeLowerLayer):w._hadPlotinfo?M((w.mainplotinfo||w).shapelayer):M(t._fullLayout._shapeLowerLayer))}function T(t,e,r){var n=(r.xref+r.yref).replace(/paper/g,\"\").replace(/[xyz][1-9]* *domain/g,\"\");h.setClipUrl(t,n?\"clip\"+e._fullLayout._uid+n:null,e)}function k(t,e,r){return t.replace(g.segmentRE,(function(t){var n=0,i=t.charAt(0),a=g.paramIsX[i],o=g.paramIsY[i],s=g.numParams[i];return i+t.substr(1).replace(g.paramRE,(function(t){return n>=s||(a[n]?t=e(t):o[n]&&(t=r(t)),n++),t}))}))}function A(t){_(t)&&t._fullLayout._activeShapeIndex>=0&&(c(t),delete t._fullLayout._activeShapeIndex,x(t))}t.exports={draw:x,drawOne:w,eraseActiveShape:function(t){if(_(t)){c(t);var 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e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},75067:function(t,e,r){\"use strict\";var 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r=0,n=0,i=t.length;nMath.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g,\" 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a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"
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R=[1,1,1];for(o=0;o<3;++o){var F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},k.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},k.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+\".camera\")).get(),d[s.id+\".camera\"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+\".aspectratio\")).get(),d[s.id+\".aspectratio\"]=o),c.call(\"_storeDirectGUIEdit\",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+\".camera\").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+\".aspectratio\").set(i),s.glplot.redraw())}return p},k.updateFx=function(t,e){var r=this,n=r.camera;if(n)if(\"orbit\"===t)n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(\"turntable\"===t){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+\".camera.up\",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call(\"_storeDirectGUIEdit\",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},k.toImage=function(t){var e=this;t||(t=\"png\"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},90060:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',o=['© Carto',a].join(\" \"),s=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" 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T=m.split(\"|\").join(\"
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e,r=t.sourcetype,n=t.source,a={type:r};return\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates),a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution)),a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r1)for(r=0;r-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&u.click(n,e.originalEvent)}}},b.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[u([r.xmin,r.ymin]),u([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(u)};var 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s=n(t,r([a,e])),l=s[0],u=s[1],c=n(t,r([o,e])),f=c[0],h=c[1];if(0===e)return[\"M\"+l+\",\"+u,\"L\"+f+\",\"+h].join(\" \");var p=i(t,1/Math.abs(e));return[\"M\"+l+\",\"+u,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,a,o,s){var l=i(t,1/(a+1)),u=n(t,r([a,o])),c=u[0],f=u[1],h=n(t,r([a,s])),p=h[0],d=h[1];if(e(o)!==e(s)){var v=n(t,r([a,0]));return[\"M\"+c+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=c&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function v(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,v=e._name.charAt(0).toUpperCase(),g=\"Component 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;aE*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function q(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 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t=i.numbersScaler(h);z+=t[2];var e,r=S(v,\"numbersScale\",1,t[0],z,Math.min);v._scaleNumbers||(r=1),e=v._isAngular?y-r*h.bottom:y-r*(h.top+h.bottom)/2,v._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=g-r*n;return a=S(v,\"numbersTranslate\",0,a,z,Math.max),l(a,e)+s(r)}))}(t,I,e,{numbersX:v,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:g}),D&&(C={range:O.gauge.axis.range,color:O.gauge.bgcolor,line:{color:O.gauge.bordercolor,width:0},thickness:1},P={range:O.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:O.gauge.bordercolor,width:O.gauge.borderwidth},thickness:1});var Z=I.selectAll(\"g.angular\").data(z?e:[]);Z.exit().remove();var Y=I.selectAll(\"g.angularaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,v=a.size,g=a.radius,y=a.innerRadius,m=a.gaugeBg,x=a.gaugeOutline,b=[v.l+v.w/2,v.t+v.h/2+g/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var 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U,V,H,q=j.select(\"path\");w(M)?(q.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),H=L(r[0].y),function(){var t=i(V,H);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):q.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),q.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Z=_.selectAll(\"g.threshold-arc\").data(F);Z.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Z.select(\"path\").call(P).call(T),Z.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Z,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var W=I.selectAll(\"g.bullet\").data(R?e:[]);W.exit().remove();var X=I.selectAll(\"g.bulletaxis\").data(R?e:[]);X.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u=r(30962).overrideAll,c=t.exports=u(l({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),valuehoverformat:i(\"value\",1),showlegend:l({},s.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(54532),s=r(9012),l=r(1426).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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o=e.yaxis,s=e.xaxis,l=!!s.rangebreaks;i.makeTraceGroups(a,r,\"trace ohlc\").each((function(t){var e=n.select(this),r=t[0],a=r.t;if(!0!==r.trace.visible||a.empty)e.remove();else{var u=a.tickLen,c=e.selectAll(\"path\").data(i.identity);c.enter().append(\"path\"),c.exit().remove(),c.attr(\"d\",(function(t){if(t.empty)return\"M0,0Z\";var e=s.c2p(t.pos-u,!0),r=s.c2p(t.pos+u,!0),n=l?(e+r)/2:s.c2p(t.pos,!0);return\"M\"+e+\",\"+o.c2p(t.o,!0)+\"H\"+n+\"M\"+n+\",\"+o.c2p(t.h,!0)+\"V\"+o.c2p(t.l,!0)+\"M\"+r+\",\"+o.c2p(t.c,!0)+\"H\"+n}))}}))}},67324:function(t){\"use strict\";t.exports=function(t,e){var r,n=t.cd,i=t.xaxis,a=t.yaxis,o=[],s=n[0].t.bPos||0;if(!1===e)for(r=0;r=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(r))for(e=0;e0;u&&(o=\"array\");var c=r(\"categoryorder\",o);\"array\"===c?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),u||\"array\"!==c||(e.categoryorder=\"trace\")}}t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:c}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),u(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var v={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",v);var g={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",g)}},94873:function(t,e,r){\"use 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w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",y).on(\"click\",b),m.append(\"g\").attr(\"class\",\"dimensions\");var A=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var 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d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"
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e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.yf.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragXp.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),ni?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,u,c=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),v=8*(f-h)/2,g=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(g.sort((function(t,e){return t.displayInd-e.displayInd})),u=0;u0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:v,bands:[],parcatsViewModel:t},v=v+a+8,c.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:c,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}t.exports=function(t,e,r,n){h(r,t,n,e)}},45784:function(t,e,r){\"use strict\";var n=r(45460);t.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},73362:function(t,e,r){\"use strict\";var n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use strict\";var n=r(25706),i=r(39898),a=r(28984).keyFun,o=r(28984).repeat,s=r(71828).sorterAsc,l=r(71828).strTranslate,u=n.bar.snapRatio;function c(t,e){return t*(1-u)+e*u}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],u=l,f=a;i*fe){h=r;break}}if(a=c,isNaN(a)&&(a=isNaN(f)||isNaN(h)?isNaN(f)?h:f:e-u[f][1]t[1]+r||e=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);v&&(o.interval=l[a],o.intervalPix=d,o.region=v)}}if(t.ordinal&&!o.region){var g=t.unitTickvals,m=t.unitToPaddedPx.invert(e);for(r=0;r=x[0]&&m<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function w(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),b(t.parentNode)}function T(t,e){var r=_(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a=\"crosshair\";r.clickableOrdinalRange?a=\"pointer\":r.region&&(a=r.region+\"-resize\"),i.select(document.body).style(\"cursor\",a)}function k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},71791:function(t,e,r){\"use strict\";t.exports={attributes:r(73362),supplyDefaults:r(3633),calc:r(24639),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(49351),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},49351:function(t,e,r){\"use strict\";var n=r(39898),i=r(27659).a0,a=r(21341),o=r(77922);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},24639:function(t,e,r){\"use strict\";var n=r(71828).isArrayOrTypedArray,i=r(21081),a=r(28984).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n p17_20, p21_24, p25_28, p29_32,\\n p33_36, p37_40, p41_44, p45_48,\\n p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = 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r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var 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n=r(82196);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},42743:function(t,e,r){\"use strict\";var n=r(9330).gl_pointcloud2d,i=r(78614),a=r(71739).findExtremes,o=r(34603);function 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v=i(t.marker.color),g=i(t.marker.border.color),y=t.opacity*t.marker.opacity;v[3]*=y,this.pointcloudOptions.color=v;var m=t.marker.blend;null===m&&(m=u.length<100||c.length<100),this.pointcloudOptions.blend=m,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},33876:function(t,e,r){\"use strict\";var n=r(71828),i=r(10959);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof 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n=r(32663),i=r(89298),a=r(91424);t.exports=function(t,e,r,o){var s,l,u,c=r[0][0].carpet,f=i.getFromId(t,c.xaxis||\"x\"),h=i.getFromId(t,c.yaxis||\"y\"),p={xaxis:f,yaxis:h,plot:e.plot};for(s=0;s\")}function p(t){return t+\"°\"}}(u,v,t,l[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}}},17988:function(t,e,r){\"use strict\";t.exports={attributes:r(19316),supplyDefaults:r(10659),colorbar:r(4898),formatLabels:r(82719),calc:r(84622),calcGeoJSON:r(89171).calcGeoJSON,plot:r(89171).plot,style:r(33095),styleOnSelect:r(16296).styleOnSelect,hoverPoints:r(14977),eventData:r(84084),selectPoints:r(20548),moduleType:\"trace\",name:\"scattergeo\",basePlotModule:r(44622),categories:[\"geo\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},89171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(90973).getTopojsonFeatures,o=r(18214),s=r(41327),l=r(71739).findExtremes,u=r(50606).BADNUM,c=r(47761).calcMarkerSize,f=r(34098),h=r(33095);t.exports={calcGeoJSON:function(t,e){var 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h=n[0],p=n[1];for(i=0;i1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var 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R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(c,b),t.extraText=u(c,b,o[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}},getExtraText:u}},20467:function(t,e,r){\"use strict\";t.exports={attributes:r(99181),supplyDefaults:r(76645),colorbar:r(4898),formatLabels:r(15636),calc:r(84622),plot:r(86951),hoverPoints:r(28178).hoverPoints,eventData:r(53353),selectPoints:r(86387),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(50101),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},86951:function(t,e,r){\"use strict\";var n=r(71828),i=r(15790),a=r(77734).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup[\"trace-\"+l.uid];if(u)for(f.addSource(\"circle\",h.circle,l.cluster),r=0;r\")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var l=t.subplot,u=s.cd[s.index],c=s.trace;if(l.isPtInside(u))return s.xLabelVal=void 0,s.yLabelVal=void 0,i(u,c,l,s),s.hovertemplate=c.hovertemplate,o}},makeHoverPointText:i}},91271:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"scatterpolar\",basePlotModule:r(23580),categories:[\"polar\",\"symbols\",\"showLegend\",\"scatter-like\"],attributes:r(81245),supplyDefaults:r(22184).supplyDefaults,colorbar:r(4898),formatLabels:r(98608),calc:r(26442),plot:r(45162),style:r(16296).style,styleOnSelect:r(16296).styleOnSelect,hoverPoints:r(59150).hoverPoints,selectPoints:r(98002),meta:{}}},45162:function(t,e,r){\"use strict\";var n=r(32663),i=r(50606).BADNUM;t.exports=function(t,e,r){for(var 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var v=d.concat(p(r).map((function(){return u((d[0]||[\"\"]).length)}))),g=e.domain,y=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),m=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?v[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,m-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=v.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*y}));var 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f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" \"===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a>>26;for(;0!==i&&a>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;at.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o>26,this.words[o]=67108863&e;for(;0!==a&&o>26,this.words[o]=67108863&e;if(0===a&&o>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with 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e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return 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v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var 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n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else 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x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n uv = position;\\n gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n gl_PointSize = pointSize;\\n\\n vec4 id = pickId + pickOffset;\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": \"+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf(\"mat\")>=0))throw new n(\"\",\"Unknown data type for attribute \"+f+\": \"+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": 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a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 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e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n 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dataCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n vec4 clipPosition = projection * view * worldPosition;\\n clipPosition.z += zOffset;\\n\\n gl_Position = clipPosition;\\n value = f + objectOffset.z;\\n kill = -1.0;\\n planeCoordinate = uv.zw;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Don't do lighting for contours\\n surfaceNormal = vec3(1,0,0);\\n eyeDirection = vec3(0,1,0);\\n lightDirection = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n float vh = 255.0 * v;\\n float upper = floor(vh);\\n float lower = fract(vh);\\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n if ((kill > 0.0) ||\\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return 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e>t==t>0?o===a?(r+=1,o=0):o+=1:0===o?(o=a,r-=1):o-=1,n.pack(o,r)}},115:function(t,e){e.vertexNormals=function(t,e,r){for(var n=e.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;oa){var b=i[u],_=1/Math.sqrt(g*m);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(y[w]*v[T]-y[T]*v[w])}}}for(o=0;oa)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return i},e.faceNormals=function(t,e,r){for(var n=t.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;oa?1/Math.sqrt(p):0,u=0;u<3;++u)h[u]*=p;i[o]=h}return i}},567:function(t){\"use strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var u=0,f=0;f<3;++f)u+=r[l+4*f]*i[f];r[12+l]=-u}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],u=l(a,o,s);a/=u,o/=u,s/=u;var 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r,n,o,s,l,u,c,f,h,p=1,d=t.length,v=\"\";for(n=0;n=0),s.type){case\"b\":r=parseInt(r,10).toString(2);break;case\"c\":r=String.fromCharCode(parseInt(r,10));break;case\"d\":case\"i\":r=parseInt(r,10);break;case\"j\":r=JSON.stringify(r,null,s.width?parseInt(s.width):0);break;case\"e\":r=s.precision?parseFloat(r).toExponential(s.precision):parseFloat(r).toExponential();break;case\"f\":r=s.precision?parseFloat(r).toFixed(s.precision):parseFloat(r);break;case\"g\":r=s.precision?String(Number(r.toPrecision(s.precision))):parseFloat(r);break;case\"o\":r=(parseInt(r,10)>>>0).toString(8);break;case\"s\":r=String(r),r=s.precision?r.substring(0,s.precision):r;break;case\"t\":r=String(!!r),r=s.precision?r.substring(0,s.precision):r;break;case\"T\":r=Object.prototype.toString.call(r).slice(8,-1).toLowerCase(),r=s.precision?r.substring(0,s.precision):r;break;case\"u\":r=parseInt(r,10)>>>0;break;case\"v\":r=r.valueOf(),r=s.precision?r.substring(0,s.precision):r;break;case\"x\":r=(parseInt(r,10)>>>0).toString(16);break;case\"X\":r=(parseInt(r,10)>>>0).toString(16).toUpperCase()}i.json.test(s.type)?v+=r:(!i.number.test(s.type)||f&&!s.sign?h=\"\":(h=f?\"+\":\"-\",r=r.toString().replace(i.sign,\"\")),u=s.pad_char?\"0\"===s.pad_char?\"0\":s.pad_char.charAt(1):\" 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s[t]=n}(t),arguments)}function o(t,e){return a.apply(null,[t].concat(e||[]))}var s=Object.create(null);e.sprintf=a,e.vsprintf=o,\"undefined\"!=typeof window&&(window.sprintf=a,window.vsprintf=o,void 0===(n=function(){return{sprintf:a,vsprintf:o}}.call(e,r,e,t))||(t.exports=n))}()},4162:function(t,e,r){\"use strict\";t.exports=function(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return function(t,e){for(var r=i(t,e),n=r.length,a=new Array(n),o=new Array(n),s=0;sn|0},vertex:function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=(o<<0)+(s<<1)+(l<<2)+(u<<3)|0;if(0!==p&&15!==p)switch(p){case 0:case 15:c.push([t-.5,e-.5]);break;case 1:c.push([t-.25-.25*(n+r-2*h)/(r-n),e-.25-.25*(i+r-2*h)/(r-i)]);break;case 2:c.push([t-.75-.25*(-n-r+2*h)/(n-r),e-.25-.25*(a+n-2*h)/(n-a)]);break;case 3:c.push([t-.5,e-.5-.5*(i+r+a+n-4*h)/(r-i+n-a)]);break;case 4:c.push([t-.25-.25*(a+i-2*h)/(i-a),e-.75-.25*(-i-r+2*h)/(i-r)]);break;case 5:c.push([t-.5-.5*(n+r+a+i-4*h)/(r-n+i-a),e-.5]);break;case 6:c.push([t-.5-.25*(-n-r+a+i)/(n-r+i-a),e-.5-.25*(-i-r+a+n)/(i-r+n-a)]);break;case 7:c.push([t-.75-.25*(a+i-2*h)/(i-a),e-.75-.25*(a+n-2*h)/(n-a)]);break;case 8:c.push([t-.75-.25*(-a-i+2*h)/(a-i),e-.75-.25*(-a-n+2*h)/(a-n)]);break;case 9:c.push([t-.5-.25*(n+r+-a-i)/(r-n+a-i),e-.5-.25*(i+r+-a-n)/(r-i+a-n)]);break;case 10:c.push([t-.5-.5*(-n-r-a-i+4*h)/(n-r+a-i),e-.5]);break;case 11:c.push([t-.25-.25*(-a-i+2*h)/(a-i),e-.75-.25*(i+r-2*h)/(r-i)]);break;case 12:c.push([t-.5,e-.5-.5*(-i-r-a-n+4*h)/(i-r+a-n)]);break;case 13:c.push([t-.75-.25*(n+r-2*h)/(r-n),e-.25-.25*(-a-n+2*h)/(a-n)]);break;case 14:c.push([t-.25-.25*(-n-r+2*h)/(n-r),e-.25-.25*(-i-r+2*h)/(i-r)])}},cell:function(t,e,r,n,i,a,o,s,l){i?s.push([t,e]):s.push([e,t])}});return function(t,e){var r=[],i=[];return n(t,r,i,e),{positions:r,cells:i}}}},o={}},6946:function(t,e,r){\"use strict\";t.exports=function t(e,r,i){i=i||{};var a=o[e];a||(a=o[e]={\" \":{data:new Float32Array(0),shape:.2}});var s=a[r];if(!s)if(r.length<=1||!/\\d/.test(r))s=a[r]=function(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o0&&(f+=.02);var p=new Float32Array(c),d=0,v=-.5*f;for(h=0;hMath.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,l=0;l<3;++l)a+=t[l]*t[l],o+=i[l]*t[l];for(l=0;l<3;++l)i[l]-=o/a*t[l];return s(i,i),i}function h(t,e,r,i,a,o,s,l){this.center=n(r),this.up=n(i),this.right=n(a),this.radius=n([o]),this.angle=n([s,l]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var u=0;u<16;++u)this.computedMatrix[u]=.5;this.recalcMatrix(0)}var p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),c=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,c+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(c);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],v=this.computedAngle[1],g=Math.cos(d),y=Math.sin(d),m=Math.cos(v),x=Math.sin(v),b=this.computedCenter,_=g*m,w=y*m,T=x,k=-g*x,A=-y*x,M=m,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Z),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*k+L*A+C*M;y=R<0?-Math.PI/2:Math.PI/2,m=Math.atan2(O,P)}else{var I=e[2],D=e[6],z=e[10],R=I*s+D*l+z*f,F=I*x+D*b+z*_,B=I*k+D*A+z*M;y=Math.asin(c(R)),m=Math.atan2(B,F)}this.angle.jump(t,m,y),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Z=V[14]/H,Y=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*Y,G-j*Y,Z-U*Y)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=u(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=u(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,v=d[0],g=d[1],y=d[2],m=i*v+a*g+o*y,x=u(v-=m*i,g-=m*a,y-=m*o);if(!(x<.01&&(x=u(v=a*h-o*f,g=o*l-i*h,y=i*f-a*l))<1e-6)){v/=x,g/=x,y/=x,this.up.set(t,i,a,o),this.right.set(t,v,g,y),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*y-o*g,_=o*v-i*y,w=i*g-a*v,T=u(b,_,w),k=i*l+a*f+o*h,A=v*l+g*f+y*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(c(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),I=Math.abs(C-E),D=Math.abs(C-2*Math.PI-E);O0?r.pop():new ArrayBuffer(t)}function d(t){return new Uint8Array(p(t),0,t)}function v(t){return new Uint16Array(p(2*t),0,t)}function g(t){return new Uint32Array(p(4*t),0,t)}function y(t){return new Int8Array(p(t),0,t)}function m(t){return new Int16Array(p(2*t),0,t)}function x(t){return new 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=c.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},12018:function(t,e,r){\"use strict\";var n=r(71299);function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.g.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.g.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function a(t){return\"function\"==typeof t.getContext&&\"width\"in t&&\"height\"in t}function o(){var t=document.createElement(\"canvas\");return t.style.position=\"absolute\",t.style.top=0,t.style.left=0,t}t.exports=function(t){var e;if(t?\"string\"==typeof t&&(t={container:t}):t={},(t=a(t)||\"string\"==typeof(e=t).nodeName&&\"function\"==typeof e.appendChild&&\"function\"==typeof e.getBoundingClientRect?{container:t}:function(t){return\"function\"==typeof t.drawArrays||\"function\"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:\"container target element el canvas holder parent parentNode wrapper use ref root node\",gl:\"gl context webgl 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Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))},Br.prototype.eachChild=function(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)},Br.prototype.outputDefined=function(){return!1},Br.prototype.serialize=function(){var t={};return this.locale&&(t.locale=this.locale.serialize()),this.currency&&(t.currency=this.currency.serialize()),this.minFractionDigits&&(t[\"min-fraction-digits\"]=this.minFractionDigits.serialize()),this.maxFractionDigits&&(t[\"max-fraction-digits\"]=this.maxFractionDigits.serialize()),[\"number-format\",this.number.serialize(),t]};var Nr=function(t){this.type=Ht,this.input=t};Nr.parse=function(t,e){if(2!==t.length)return e.error(\"Expected 1 argument, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1);return r?\"array\"!==r.type.kind&&\"string\"!==r.type.kind&&\"value\"!==r.type.kind?e.error(\"Expected argument of type string or array, but found \"+Qt(r.type)+\" instead.\"):new Nr(r):null},Nr.prototype.evaluate=function(t){var e=this.input.evaluate(t);if(\"string\"==typeof e)return e.length;if(Array.isArray(e))return e.length;throw new ge(\"Expected value to be of type string or array, but found \"+Qt(pe(e))+\" 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e[0].value.indexOf(t.geometryType())>=0}],\"filter-id-in\":[Gt,[$t(Wt)],function(t,e){return e[0].value.indexOf(t.id())>=0}],\"filter-in-small\":[Gt,[qt,$t(Wt)],function(t,e){var r=e[0];return e[1].value.indexOf(t.properties()[r.value])>=0}],\"filter-in-large\":[Gt,[qt,$t(Wt)],function(t,e){var r=e[0],n=e[1];return function(t,e,r,n){for(;r<=n;){var i=r+n>>1;if(e[i]===t)return!0;e[i]>t?n=i-1:r=i+1}return!1}(t.properties()[r.value],n.value,0,n.value.length-1)}],all:{type:Gt,overloads:[[[Gt,Gt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)&&n.evaluate(t)}],[qr(Gt),function(t,e){for(var r=0,n=e;r0&&\"string\"==typeof t[0]&&t[0]in jr}function ln(t,e){var r=new We(jr,[],e?function(t){var e={color:Zt,string:qt,number:Ht,enum:qt,boolean:Gt,formatted:Jt,resolvedImage:Kt};return\"array\"===t.type?$t(e[t.value]||Wt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Gr(new on(n,e)):Zr(r.errors)}on.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},on.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new ge(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var un=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Ge(e.expression)};un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},un.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var cn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Ge(e.expression),this.interpolationType=n};function fn(t,e){if(\"error\"===(t=ln(t,e)).result)return t;var r=t.value.expression,n=qe(r);if(!n&&!Yr(e))return Zr([new jt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Wr(e))return Zr([new jt(\"\",\"zoom expressions not supported\")]);var a=pn(r);if(!a&&!i)return Zr([new jt(\"\",'\"zoom\" expression may only be 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e=1;e\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function En(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Ln(t){return[\"!\",t]}function Cn(t){return bn(Nt(t.value))?mn(Ft({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Pn(t)}function Pn(t){var e=t.value,r=t.key;if(\"array\"!==Jr(e))return[new zt(r,e,\"array expected, \"+Jr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new zt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(xn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Bt(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Bt(e[1])&&a.push(new zt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new zt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Jr(e[1]))&&a.push(new zt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i=0?s:li(s)}}return n}throw new Error(\"can't deserialize object of type \"+typeof t)}var ui=function(){this.first=!0};ui.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},\"Arabic 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t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description Characters\":function(t){return t>=12272&&t<=12287},\"CJK Symbols and Punctuation\":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},\"Hangul Compatibility Jamo\":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},\"Bopomofo Extended\":function(t){return t>=12704&&t<=12735},\"CJK Strokes\":function(t){return t>=12736&&t<=12783},\"Katakana Phonetic Extensions\":function(t){return t>=12784&&t<=12799},\"Enclosed CJK Letters and Months\":function(t){return t>=12800&&t<=13055},\"CJK Compatibility\":function(t){return t>=13056&&t<=13311},\"CJK Unified Ideographs Extension A\":function(t){return t>=13312&&t<=19903},\"Yijing Hexagram 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e=0,r=t;e=65097&&t<=65103)||ci[\"CJK Compatibility Ideographs\"](t)||ci[\"CJK Compatibility\"](t)||ci[\"CJK Radicals Supplement\"](t)||ci[\"CJK Strokes\"](t)||!(!ci[\"CJK Symbols and Punctuation\"](t)||t>=12296&&t<=12305||t>=12308&&t<=12319||12336===t)||ci[\"CJK Unified Ideographs Extension A\"](t)||ci[\"CJK Unified Ideographs\"](t)||ci[\"Enclosed CJK Letters and Months\"](t)||ci[\"Hangul Compatibility Jamo\"](t)||ci[\"Hangul Jamo Extended-A\"](t)||ci[\"Hangul Jamo Extended-B\"](t)||ci[\"Hangul Jamo\"](t)||ci[\"Hangul Syllables\"](t)||ci.Hiragana(t)||ci[\"Ideographic Description Characters\"](t)||ci.Kanbun(t)||ci[\"Kangxi Radicals\"](t)||ci[\"Katakana Phonetic Extensions\"](t)||ci.Katakana(t)&&12540!==t||!(!ci[\"Halfwidth and Fullwidth Forms\"](t)||65288===t||65289===t||65293===t||t>=65306&&t<=65310||65339===t||65341===t||65343===t||t>=65371&&t<=65503||65507===t||t>=65512&&t<=65519)||!(!ci[\"Small Form Variants\"](t)||t>=65112&&t<=65118||t>=65123&&t<=65126)||ci[\"Unified Canadian 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Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);in.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Ji);da.prototype.bytesPerElement=4,ni(\"StructArrayLayout1f4\",da);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Ji);va.prototype.bytesPerElement=6,ni(\"StructArrayLayout3i6\",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Ji);ga.prototype.bytesPerElement=8,ni(\"StructArrayLayout1ul2ui8\",ga);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Ji);xa.prototype.bytesPerElement=8,ni(\"StructArrayLayout2f8\",xa);var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xi);_a.prototype.size=20;var wa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new _a(this,t)},e}(sa);ni(\"CollisionBoxArray\",wa);var Ta=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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S=o.content;x=zu(h,0,S[0]),_=zu(p,0,S[1]),b=zu(h,S[0],S[2]),w=zu(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,i,l,u){var h=Fu(n.stretch-x,b,c,t.left),p=Bu(n.fixed-T,k,n.stretch,v),d=Fu(i.stretch-_,w,f,t.top),y=Bu(i.fixed-A,M,i.stretch,g),m=Fu(l.stretch-x,b,c,t.left),S=Bu(l.fixed-T,k,l.stretch,v),E=Fu(u.stretch-_,w,f,t.top),L=Bu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,H=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+Iu+j,y:o.paddedRect.y+Iu+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Ru(h,y,v),C=Ru(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},ju=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Uu),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function Uu(t,e){return te?1:0}function Vu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new ju([],Hu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-m.d<=e||(d=b.h/2,v.push(new qu(b.p.x-d,b.p.y-d,d,t)),v.push(new qu(b.p.x+d,b.p.y-d,d,t)),v.push(new qu(b.p.x-d,b.p.y+d,d,t)),v.push(new qu(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+m.d)),m.p}function Hu(t,e){return e.max-t.max}function qu(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=c.y>t.y&&t.x<(c.x-u.x)*(t.y-u.y)/(c.y-u.y)+u.x&&(r=!r),n=Math.min(n,ko(t,u,c))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}ju.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},ju.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},ju.prototype.peek=function(){return this.data[0]},ju.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},ju.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Gu=7,Zu=Number.POSITIVE_INFINITY;function Yu(t,e){return e[1]!==Zu?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-Gu;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=-r+Gu}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-Gu;break;case\"bottom-right\":case\"bottom-left\":n=-i+Gu;break;case\"bottom\":n=-e+Gu;break;case\"top\":n=e-Gu}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function Wu(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}var Xu=255,Ju=Xu*bu;function Ku(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fJu&&w(t.layerIds[0]+': Value for \"text-size\" is >= '+Xu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[bu*d.compositeTextSizes[0].evaluate(s,{},v),bu*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>Ju||m[1]>Ju)&&w(t.layerIds[0]+': Value for \"text-size\" is >= '+Xu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v=0;for(var I=0,D=k.sections;I=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;vn)i=!1;else if(e)if(this.expirationTimect&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=$e,t.offscreenCanvasSupported=mt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Sl(t).readFields(Wl,[])},t.pbf=Sl,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=co/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u[\"text-size\"].possiblyEvaluate(new Pi(h),o),u[\"text-size\"].possiblyEvaluate(new Pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u[\"icon-size\"].possiblyEvaluate(new Pi(v),o),u[\"icon-size\"].possiblyEvaluate(new Pi(g),o)]}c.layoutTextSize=u[\"text-size\"].possiblyEvaluate(new Pi(t.zoom+1),o),c.layoutIconSize=u[\"icon-size\"].possiblyEvaluate(new Pi(t.zoom+1),o),c.textMaxSize=u[\"text-size\"].possiblyEvaluate(new Pi(18));for(var y=l.get(\"text-line-height\")*kl,m=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),_=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get(\"text-letter-spacing\").evaluate(a,{},o)*kl,A=function(t){for(var e=0,r=t;e=co||f.y<0||f.y>=co||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=Fa(\"\"),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(j=(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return t*kl})))[0],U=M[1]):(j=s.layout.get(\"text-radial-offset\").evaluate(b,{},k)*kl,U=Zu),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new Nu(l,e,u,c,f,H,h,p,d,V),o&&(C=new Nu(l,e,u,c,f,o,g,y,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Z=Du(i,q,T,G),Y=o?Du(o,q,T,G):void 0;E=new Nu(l,e,u,c,f,i,g,y,!1,q),O=4*Z.length;var W=t.iconSizeData,X=null;\"source\"===W.kind?(X=[bu*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>Ju&&w(t.layerIds[0]+': Value for \"icon-size\" is >= '+Xu+'. Reduce your \"icon-size\".'):\"composite\"===W.kind&&((X=[bu*_.compositeIconSizes[0].evaluate(b,{},k),bu*_.compositeIconSizes[1].evaluate(b,{},k)])[0]>Ju||X[1]>Ju)&&w(t.layerIds[0]+': Value for \"icon-size\" is >= '+Xu+'. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Z,X,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,X,x,m,b,nu.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=Fa(K.text);var $=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new Nu(l,e,u,c,f,K,h,p,d,$)}var Q=1===K.positionedLines.length;if(D+=Ku(t,e,K,a,s,d,b,v,P,n.vertical?nu.horizontal:nu.horizontalOnly,Q?Object.keys(n.horizontal):[J],B,R,_,k),Q)break}n.vertical&&(z+=Ku(t,e,n.vertical,a,s,d,b,v,P,nu.vertical,[\"vertical\"],B,F,_,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/kl),t.glyphOffsetArray.length>=sc.MAX_GLYPHS&&w(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,T,M,l,b,k,S,d,e,a,u,c,o)};if(\"line\"===E)for(var O=0,I=Ou(e.geometry,0,0,co,co);O1){var U=Lu(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if(\"Polygon\"===e.type)for(var V=0,H=Is(e.geometry,0);V=E.maxzoom||\"none\"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=X(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function H(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function q(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:\"Feature\",id:t.id,properties:Z(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function Z(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function J(t){return t.x}function K(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)et(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if(\"Point\"===h||\"MultiPoint\"===h)ut(f,v,r,n,i);else if(\"LineString\"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ht(f,v,r,n,i,!1);else if(\"Polygon\"===h)ht(f,v,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n0===e)for(n=0,i=t.length;n24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl 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this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],i.xthis._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var 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n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "struct_gb_1.show.all()" + ] + }, + { + "cell_type": "markdown", + "id": "8146e662-d087-46a5-8ca3-dc3b3cd0342a", + "metadata": {}, + "source": [ + "Some other examples, $\\Sigma 19 (\\bar{3}20)$ and $\\Sigma 19 (111)$" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "27649a14-c9c9-415a-8bf2-c471a04101e7", + "metadata": {}, + "outputs": [], + "source": [ + "struct_gb_2 = g.create.defect.grain_boundary(axis=[1,1,1], \n", + " sigma=19, \n", + " gb_plane=[-3, 2, 0],\n", + " element='Fe')\n", + "\n", + "struct_gb_3 = g.create.defect.grain_boundary(axis=[1,1,1], \n", + " sigma=19, \n", + " gb_plane=[-1, -1, -1],\n", + " element='Fe')" + ] + }, + { + "cell_type": "markdown", + "id": "8d2074ca-ba5d-4160-82a0-af5e0cbbf6fd", + "metadata": {}, + "source": [ + "**What are all the samples with symmetric tilt grain boundaries?**" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "552c7609-68db-4b1c-ab5c-e2fb3d705454", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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SymmetricalTiltGrainBoundaryAtomicScaleSample
0N4e98f9aa26e24d6997cdf675f38a4f30Sample_1
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" + ], + "text/plain": [ + " SymmetricalTiltGrainBoundary AtomicScaleSample\n", + "0 N4e98f9aa26e24d6997cdf675f38a4f30 Sample_1" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res = g.query_sample(g.ontology.terms.pldo.SymmetricalTiltGrainBoundary)\n", + "res" + ] + }, + { + "cell_type": "markdown", + "id": "5f58ccd9-6b97-478f-a8ba-ca25c50a79b7", + "metadata": {}, + "source": [ + "We see we have one structure in the database. We can also find what is the sigma value of this structure by modifying our query." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8ddf5046-7458-4643-a8fb-f9ecaa15e390", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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SymmetricalTiltGrainBoundaryhasSigmaValuevalueAtomicScaleSample
0N4e98f9aa26e24d6997cdf675f38a4f305Sample_1
\n", + "
" + ], + "text/plain": [ + " SymmetricalTiltGrainBoundary hasSigmaValuevalue AtomicScaleSample\n", + "0 N4e98f9aa26e24d6997cdf675f38a4f30 5 Sample_1" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "res = g.query_sample([g.ontology.terms.pldo.SymmetricalTiltGrainBoundary, \n", + " g.ontology.terms.pldo.hasSigmaValue])\n", + "res" + ] + }, + { + "cell_type": "markdown", + "id": "ed5b2b0b-6c28-429d-b417-5a4d5734275a", + "metadata": {}, + "source": [ + "We can choose the sample, and save it" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c77e2361-e9d1-480e-ba6d-e7b1f3b46c4f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "rdflib.term.BNode('Sample_1')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sample = res.AtomicScaleSample[0]\n", + "sample" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "75fc304a-9c07-43ef-8ccf-155c72ce548f", + "metadata": {}, + "outputs": [], + "source": [ + "g.to_file(sample, filename=\"POSCAR\", format=\"vasp\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9672a585-a7bf-4457-9773-f8ab01b3f8bb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fe \n", + " 1.0000000000000000\n", + " 18.1514737599999982 0.0000000000000000 0.0000000000000000\n", + " 0.0000000000000000 2.8700000000000001 0.0000000000000000\n", + " 0.0000000000000000 0.0000000000000000 9.0757368799999991\n", + " Fe \n", + " 40\n", + "Cartesian\n", + " 9.9833105684683243 1.4350000000000001 7.2605895077465998\n", + " 9.0757368799999991 1.4350000000000001 4.5378684423416242\n", + " 11.7984579454049729 0.0000000000000000 8.1681631962149233\n", + " 12.7060316338732981 1.4350000000000001 6.3530158192782746\n", + " 10.8908842569366495 0.0000000000000000 5.4454421308099494\n", + " 11.7984579454049729 1.4350000000000001 3.6302947538732999\n", + " 9.9833105684683243 0.0000000000000000 2.7227210654049747\n", + " 10.8908842569366495 1.4350000000000001 0.9075736884683248\n", + " 9.0757368799999991 0.0000000000000000 0.0000000000000000\n", + " 16.3363263877465990 1.4350000000000001 8.1681631962149233\n", + " 14.5211790108099486 0.0000000000000000 7.2605895077465998\n", + " 15.4287526992782738 1.4350000000000001 5.4454421308099494\n" + ] + } + ], + "source": [ + "! head -20 POSCAR" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 108484b29a431eb5358d0928b79b7abe9d844832 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 15:32:43 +0100 Subject: [PATCH 48/49] fix ontology paths --- pyscal_rdf/network/ontology.py | 6 +- pyscal_rdf/queries.py | 115 --------------------------------- tests/test_queries.py | 22 ------- 3 files changed, 3 insertions(+), 140 deletions(-) delete mode 100644 pyscal_rdf/queries.py delete mode 100644 tests/test_queries.py diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py index ac8ebf6..821b001 100644 --- a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -4,9 +4,9 @@ #prov = OntologyNetwork('pyscal_rdf/data/prov.rdf', delimiter='#') def read_ontology(): #read in ontologies - cmso = OntologyNetwork('../pyscal_rdf/data/cmso.owl') - pldo = OntologyNetwork('../pyscal_rdf/data/pldo.owl') - podo = OntologyNetwork('../pyscal_rdf/data/podo.owl') + cmso = OntologyNetwork(os.path.join(os.path.dirname(__file__), '../pyscal_rdf/data/cmso.owl')) + pldo = OntologyNetwork(os.path.join(os.path.dirname(__file__), '../pyscal_rdf/data/pldo.owl')) + podo = OntologyNetwork(os.path.join(os.path.dirname(__file__), '../pyscal_rdf/data/podo.owl')) #msmo = OntologyNetwork('../pyscal_rdf/data/msmo.owl') #combine them diff --git a/pyscal_rdf/queries.py b/pyscal_rdf/queries.py deleted file mode 100644 index 6a512d8..0000000 --- a/pyscal_rdf/queries.py +++ /dev/null @@ -1,115 +0,0 @@ -from rdflib import URIRef, Namespace, BNode, Literal, XSD -from rdflib.namespace import RDF -import numpy as np - -CMSO = Namespace("https://purls.helmholtz-metadaten.de/cmso/") - -class Query: - def __init__(self): - self.sparql = Sparql() - self.python = Python() - -class Sparql: - def __init__(self): - pass - - def sample_by_latticesystem(self, g, latticesystem): - query = """ - PREFIX cmso: - PREFIX wiki: - SELECT DISTINCT ?sample - WHERE { - ?unitcell cmso:hasBravaisLattice wiki:%s . - ?structure cmso:hasUnitCell ?unitcell . - ?material cmso:hasStructure ?structure . - ?sample cmso:hasMaterial ?material . - }"""%(latticesystem) - qres = g.graph.query(query) - samples = [j[0] for j in qres] - return samples - - def sample_by_sigma(self, g, sigma): - if isinstance(sigma, int): - query=""" - PREFIX cmso: - PREFIX pldo: - PREFIX rdf: - SELECT DISTINCT ?sample - WHERE { - ?sample cmso:hasMaterial ?material . - ?material cmso:hasDefect ?defect . - ?defect pldo:hasSigmaValue ?sigma . - FILTER (?sigma="%d"^^xsd:integer) - }"""%(sigma) - elif isinstance(sigma, list): - if not len(sigma) == 2: - raise ValueError("Range queries support only arrays of length 2") - sigma = np.sort(np.abs(sigma)) - query=""" - PREFIX cmso: - PREFIX pldo: - PREFIX rdf: - SELECT DISTINCT ?sample - WHERE { - ?sample cmso:hasMaterial ?material . - ?material cmso:hasDefect ?defect . - ?defect pldo:hasSigmaValue ?sigma . - FILTER (?sigma >= "%d"^^xsd:integer && ?sigma <= "%d"^^xsd:integer) - }"""%(sigma[0], sigma[1]) - qres = g.graph.query(query) - samples = [j[0] for j in qres] - return samples - - def sample_by_defect(self, g, defect): - defect = defect.lower() - defectdict = {"tilt": "TiltBoundary", - "twist": "TwistBoundary", - "symmetric tilt": "SymmetricTiltBoundary", - "mixed": "MixedBoundary", - "grain boundary": None} - - if defect not in defectdict.keys(): - raise ValueError(f'Please choose defect from {defectlist.keys()}') - if defect != "grain boundary": - query = """ - PREFIX cmso: - PREFIX pldo: - PREFIX rdf: - SELECT DISTINCT ?sample - WHERE { - ?sample cmso:hasMaterial ?material . - ?material cmso:hasDefect ?defect . - ?defect rdf:type pldo:%s . - }"""%(defectdict[defect]) - else: - querycomm = ['{?defect rdf:type pldo:%s}'%val for key, val in defectdict.items()] - querycomm = " UNION ".join(querycomm) - query = """ - PREFIX cmso: - PREFIX pldo: - PREFIX rdf: - SELECT DISTINCT ?sample - WHERE { - ?sample cmso:hasMaterial ?material . - ?material cmso:hasDefect ?defect . - %s . - }"""%(querycomm) - qres = g.graph.query(query) - samples = [j[0] for j in qres] - return samples -class Python: - def __init__(self): - pass - - def sample_by_altname(self, g, altname): - samples = [] - for s in g.graph.triples((None, CMSO.hasAltName, Literal(altname, datatype=XSD.string))): - for k in g.graph.triples((None, CMSO.hasStructure, s[0])): - for j in g.graph.triples((None, CMSO.hasMaterial, k[0])): - samples.append(j[0]) - return samples - - - - - diff --git a/tests/test_queries.py b/tests/test_queries.py deleted file mode 100644 index a8469fc..0000000 --- a/tests/test_queries.py +++ /dev/null @@ -1,22 +0,0 @@ -import pytest -from pyscal_rdf import StructureGraph -from pyscal_rdf.queries import Query - -def test_query(): - s = StructureGraph() - sys = s.create.element.Fe() - #q = Query() - - #assert(len(q.sparql.sample_by_latticesystem(s, "Q851536")) == 1) - - #struct_gb_1 = s.create_grain_boundary(axis=[0,0,1], - # sigma=5, - # gb_plane=[3, -1, 0], - # element='Fe') - #assert(len(q.sparql.sample_by_defect(s, "symmetric tilt")) == 1) - #assert(len(q.sparql.sample_by_sigma(s, 5)) == 1) - #assert(len(q.python.sample_by_altname(s, "bcc")) == 2) - - - - From 4c9b981589f85eaf52525bf39b5f5fbbc89de8a0 Mon Sep 17 00:00:00 2001 From: Sarath Menon Date: Tue, 28 Nov 2023 15:35:46 +0100 Subject: [PATCH 49/49] fix ontology paths --- pyscal_rdf/network/ontology.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/pyscal_rdf/network/ontology.py b/pyscal_rdf/network/ontology.py index 821b001..6d948e2 100644 --- a/pyscal_rdf/network/ontology.py +++ b/pyscal_rdf/network/ontology.py @@ -4,9 +4,12 @@ #prov = OntologyNetwork('pyscal_rdf/data/prov.rdf', delimiter='#') def read_ontology(): #read in ontologies - cmso = OntologyNetwork(os.path.join(os.path.dirname(__file__), '../pyscal_rdf/data/cmso.owl')) - pldo = OntologyNetwork(os.path.join(os.path.dirname(__file__), '../pyscal_rdf/data/pldo.owl')) - podo = OntologyNetwork(os.path.join(os.path.dirname(__file__), '../pyscal_rdf/data/podo.owl')) + file_location = os.path.dirname(__file__).split('/') + file_location = "/".join(file_location[:-1]) + + cmso = OntologyNetwork(os.path.join(file_location, 'data/cmso.owl')) + pldo = OntologyNetwork(os.path.join(file_location, 'data/pldo.owl')) + podo = OntologyNetwork(os.path.join(file_location, 'data/podo.owl')) #msmo = OntologyNetwork('../pyscal_rdf/data/msmo.owl') #combine them