reduced dependencies, minor delinting, added lazy_modules (#169)

* reduced dependencies, minor delinting added lazy_modules

* fixes for testing

* change name from io to full in pyproject.toml

* try using tables_io[full] in pyproject.toml

* updated requirements.txt

* regularize to tables-io in pyproject.toml

pyproject.toml

@@ -13,11 +13,9 @@ classifiers = [
 ]
 dynamic = ["version"]
 dependencies = [
-    "matplotlib",
     "numpy",
     "scipy >= 1.9.0",
-    "scikit-learn",
-    "tables_io >= 0.7.7",
+    "tables-io >= 0.8.0",
     "deprecated",
 ]
 
@@ -45,7 +43,18 @@ build-backend = "setuptools.build_meta"
 write_to = "src/qp/_version.py"
 
 [project.optional-dependencies]
+full = [
+    "tables-io[full]",
+]
+all = [
+    "tables-io[full]",
+    "matplotlib",
+    "scikit-learn",
+]
 dev = [
+    "tables-io[full]",
+    "matplotlib",
+    "scikit-learn",
     "pytest",
     "pytest-cov",
     "packaging",
@@ -55,7 +64,6 @@ dev = [
     "kiwisolver",
     "joblib",
     "threadpoolctl",
-    "h5py",
     "pylint",
     "mpi4py",
     "coverage",

requirements.txt

@@ -3,5 +3,5 @@ numpy
 scipy>=1.9.0
 scikit-learn
 setuptools_scm
-tables_io>=0.7.7
+tables-io[full]
 deprecated

src/qp/__init__.py

@@ -13,6 +13,7 @@
 from .packed_interp_pdf import *
 from .ensemble import Ensemble
 from .factory import instance, add_class, create, read, convert, concatenate, iterator, data_length, from_tables
+from .lazy_modules import *
 
 from . import utils
 

src/qp/conversion_funcs.py

@@ -4,11 +4,11 @@
 """
 import numpy as np
 
-from sklearn import mixture
 from scipy import integrate as sciint
 from scipy import interpolate as sciinterp
 
 from .sparse_rep import indices2shapes, build_sparse_representation, decode_sparse_indices
+from .lazy_modules import mixture
 
 def extract_vals_at_x(in_dist, **kwargs):
     """Convert using a set of x and y values.

src/qp/factory.py

@@ -122,10 +122,10 @@ def create(self, class_name, data, method=None):
 
     def from_tables(self, tables):
         """Build this ensemble from a tables
-        
+
         Parameters
         ----------
-        tables: `dict` 
+        tables: `dict`
 
         Notes
         -----
@@ -149,7 +149,7 @@ def from_tables(self, tables):
         if reader_convert is not None: #pragma: no cover
             data = reader_convert(data)
         return Ensemble(ctor_func, data=data, ancil=ancil_table)
-       
+
     def read(self, filename):
         """Read this ensemble from a file
 

src/qp/lazy_modules.py

@@ -0,0 +1,7 @@
+""" Lazy loading modules """
+
+from tables_io.lazy_modules import lazyImport
+
+mpl = lazyImport('matplotlib')
+plt = lazyImport('matplotlib.pyplot')
+mixture = lazyImport('sklearn.mixture')

src/qp/plotting.py

@@ -2,8 +2,7 @@
 
 import numpy as np
 
-import matplotlib as mpl
-import matplotlib.pyplot as plt
+from .lazy_modules import mpl, plt
 
 
 def init_matplotlib():