Fix depreciation

.github/workflows/pytest.yml → .github/workflows/daily_tests.yml

@@ -1,25 +1,24 @@
-# This workflow will install Python dependencies and run tests and lint with a single version of Python
-# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
-
-# Based on David Neuroth pylpg
-
-name: pytest
-
-on:
-  push:
-  pull_request:
-    branches: [ master ]
-#if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+# This tests are run daily to check incompatibilties introduced by new versions of dependencies
+name: Daily tsam tests
+on: 
+  schedule:
+    # * is a special character in YAML so you have to quote this string
+    # Some Examples for cron syntax https://crontab.guru/examples.html
+    # Schedules job at any point after 12 pm
+    - cron:  '0 0 * * *'
+    # Weekly after sunday
+    # - cron: 0 0 * * 0
 
 jobs:
-  build:
+  PythonAndOsTest:
+    name: Test for Python ${{matrix.python-version}} on ${{matrix.os}}  
     runs-on: ${{matrix.os}}
     strategy:
       fail-fast: false
       matrix:
         os: ["ubuntu-latest","ubuntu-20.04", "macos-latest","macos-13","macos-12", "windows-latest","windows-2019"]
         # os: ["ubuntu-latest"]
-        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
+        python-version: [ "3.9", "3.10", "3.11", "3.12"]
 
     steps:
     - uses: actions/checkout@v2
@@ -40,4 +39,5 @@ jobs:
       working-directory: ./test/
       run: |
         pytest
-        codecov
+        codecov
+

.github/workflows/test_on_push_and_pull.yml

@@ -0,0 +1,71 @@
+# This workflow will install Python dependencies and run tests and lint with a single version of Python
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+# Based on David Neuroth pylpg
+
+name: Test on Push and Pull
+
+on:
+  push:
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  PythonAndOsTest:
+    name: Test for Python ${{matrix.python-version}} on ${{matrix.os}}  
+    runs-on: ${{matrix.os}}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: ["ubuntu-latest","ubuntu-20.04", "macos-latest","macos-13","macos-12", "windows-latest","windows-2019"]
+        python-version: [ "3.9", "3.10", "3.11", "3.12"]
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{matrix.python-version}}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pytest
+        pip install pytest-cov
+        pip install codecov
+        pip install -r requirements.txt
+        pip install --no-cache-dir -e .
+
+    - name: Test with pytest
+      working-directory: ./test/
+      run: |
+        pytest
+        codecov
+
+  NumpyTest:
+    name: Test for numpy ${{matrix.python-numpy-version.numpy}} and python ${{matrix.python-numpy-version.python}}
+    runs-on: ${{matrix.os}}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: ["ubuntu-latest","ubuntu-20.04", "macos-latest","macos-13","macos-12", "windows-latest","windows-2019"]
+        python-numpy-version: [ {python : 3.9,numpy : 1.25}, {python : 3.9,numpy : 1.26},{python : 3.9,numpy : 2.0}]        
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{matrix.python-numpy-version.python}}
+    - name: Install dependencies
+      run: |
+        python -m pip install numpy==${{matrix.python-numpy-version.numpy}} --upgrade pip
+        pip install pytest
+        pip install pytest-cov
+        pip install codecov
+        pip install -r requirements.txt
+        pip install --no-cache-dir -e .
+
+    - name: Test with pytest
+      working-directory: ./test/
+      run: |
+        pytest
+        codecov

Makefile

@@ -1,8 +1,21 @@
+#!make
+LOCAL_VENVS_DIR=~/.virtualenvs
+PROJECT_NAME=tsam
+PYTHON=python3.11
+LOCAL_VENV_DIR := ${LOCAL_VENVS_DIR}/${PROJECT_NAME}
+
+
 test:
-	pytest
+	@( \
+		source ${LOCAL_VENV_DIR}/bin/activate; \
+		pytest
+	)
 
-sdist :
-	python setup.py sdist
+sdist:
+	@( \
+		source ${LOCAL_VENV_DIR}/bin/activate; \
+		${PYTHON} setup.py sdist
+	)
 
 upload:
 	twine upload dist/*
@@ -12,3 +25,9 @@ clean:
 
 dist: sdist upload clean
 
+
+
+setup_venv:
+	mkdir -p  ${LOCAL_VENVS_DIR}
+	${PYTHON} -m venv ${LOCAL_VENV_DIR}
+	. ${LOCAL_VENV_DIR}/bin/activate; pip install -r requirements.txt; pip install -e .

README.md

@@ -1,4 +1,4 @@
-[![pytest master status](https://github.com/FZJ-IEK3-VSA/tsam/actions/workflows/pytest.yml/badge.svg?branch=master)](https://github.com/FZJ-IEK3-VSA/tsam/actions) [![Version](https://img.shields.io/pypi/v/tsam.svg)](https://pypi.python.org/pypi/tsam) [![Documentation Status](https://readthedocs.org/projects/tsam/badge/?version=latest)](https://tsam.readthedocs.io/en/latest/) [![PyPI - License](https://img.shields.io/pypi/l/tsam)]((https://github.com/FZJ-IEK3-VSA/tsam/blob/master/LICENSE.txt)) [![codecov](https://codecov.io/gh/FZJ-IEK3-VSA/tsam/branch/master/graph/badge.svg)](https://codecov.io/gh/FZJ-IEK3-VSA/tsam)
+[![pytest master status](https://github.com/FZJ-IEK3-VSA/tsam/actions/workflows/pytest.yml/badge.svg?branch=master)](https://github.com/FZJ-IEK3-VSA/tsam/actions) [![Version](https://img.shields.io/pypi/v/tsam.svg)](https://pypi.python.org/pypi/tsam) [![Conda Version](https://img.shields.io/conda/vn/conda-forge/tsam.svg)](https://anaconda.org/conda-forge/tsam) [![Documentation Status](https://readthedocs.org/projects/tsam/badge/?version=latest)](https://tsam.readthedocs.io/en/latest/) [![PyPI - License](https://img.shields.io/pypi/l/tsam)]((https://github.com/FZJ-IEK3-VSA/tsam/blob/master/LICENSE.txt)) [![codecov](https://codecov.io/gh/FZJ-IEK3-VSA/tsam/branch/master/graph/badge.svg)](https://codecov.io/gh/FZJ-IEK3-VSA/tsam)
 [![badge](https://img.shields.io/badge/launch-binder-579aca.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/FZJ-IEK3-VSA/voila-tsam/HEAD?urlpath=voila/render/Time-Series-Aggregation-Module.ipynb)
 
 <a href="https://www.fz-juelich.de/en/iek/iek-3"><img src="https://www.fz-juelich.de/static/media/Logo.2ceb35fc.svg" alt="Forschungszentrum Juelich Logo" width="230px"></a> 
@@ -19,10 +19,14 @@ The documentation of the tsam code can be found [**here**](https://tsam.readthed
 
 
 ## Installation
-Directly install via pip as follows:
+Directly install via pip from pypi as follows:
 
 	pip install tsam
 
+of install from conda forge with the following command:
+
+	conda install tsam -c conda-forge
+
 Alternatively, clone a local copy of the repository to your computer
 
 	git clone https://github.com/FZJ-IEK3-VSA/tsam.git
@@ -37,6 +41,12 @@ Or install directly via python as
 	python setup.py install
 
 In order to use the k-medoids clustering, make sure that you have installed a MILP solver. As default [HiGHS](https://github.com/ERGO-Code/HiGHS) is used. Nevertheless, in case you have access to a license we recommend commercial solvers (e.g. Gurobi or CPLEX) since they have a better performance.
+
+### Developer installation
+
+In order to setup a virtual environment in Linux, correct the python name in the Makefile and call
+
+	make setup_venv
 
 
 ## Examples

requirements.txt

@@ -1,6 +1,6 @@
 scikit-learn>=0.0
-pandas>=0.18.1,<3.0
-numpy>=1.11.0,<2.0
+pandas>=2.0.3
+numpy>=1.20.0
 pyomo>=6.4.3
 networkx
 tqdm

requirements.yml

@@ -2,7 +2,7 @@ name: tsam
 channels:
   - conda-forge
 dependencies:
-  - python>=3.8,<3.13
+  - python>=3.9,<3.13
   - pip
   - pip:
     - -r requirements.txt

requirements_dev.txt

@@ -2,9 +2,10 @@
 
 # Testing
 pytest
-sphinx
+pytest-cov
 
 # Documentation
+sphinx
 sphinx-autobuild
 sphinx_book_theme
 

requirements_dev.yml

@@ -4,5 +4,8 @@ channels:
   - conda-forge
 
 dependencies:
-  - pytest
-  - pytest-cov
+  - python>=3.9,<3.13
+  - pip
+  - pip:
+    - -r requirements_dev.txt
+

setup.py

@@ -8,14 +8,15 @@
 
 setuptools.setup(
     name="tsam",
-    version="2.3.2",
+    version="2.3.3",
     author="Leander Kotzur, Maximilian Hoffmann",
     author_email="[email protected], [email protected]",
     description="Time series aggregation module (tsam) to create typical periods",
     long_description=long_description,
     long_description_content_type="text/markdown",
     url="https://github.com/FZJ-IEK3-VSA/tsam",
     include_package_data=True,
+    python_requires='>=3.9',
     packages=setuptools.find_packages(),
     install_requires=required_packages,
     setup_requires=["setuptools-git"],
@@ -28,11 +29,7 @@
         "Operating System :: OS Independent",
         "Programming Language :: Python",
         "Programming Language :: Python :: 2",
-        "Programming Language :: Python :: 2.7",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.4",
-        "Programming Language :: Python :: 3.5",
-        "Programming Language :: Python :: 3.6",
         "Topic :: Scientific/Engineering :: Mathematics",
         "Topic :: Software Development :: Libraries :: Python Modules",
     ],

test/test_assert_raises.py

@@ -221,7 +221,7 @@ def test_assert_raises():
 
     # check erroneous dataframe containing NaN values
     rawNan = copy.deepcopy((raw))
-    rawNan.iloc[10, :] = np.NaN
+    rawNan.iloc[10, :] = np.nan
     aggregation = tsam.TimeSeriesAggregation(timeSeries=rawNan)
     np.testing.assert_raises_regex(
         ValueError,

test/test_cluster_order.py

@@ -103,21 +103,21 @@ def test_cluster_order():
         orig_raw_predefClusterOrder[typPeriods_predefClusterOrder.columns]
         .unstack()
         .loc[sortedDaysOrig1, :]
-        .stack()
+        .stack(future_stack=True,)
     )
-    test1 = typPeriods_predefClusterOrder.unstack().loc[sortedDaysTest1, :].stack()
+    test1 = typPeriods_predefClusterOrder.unstack().loc[sortedDaysTest1, :].stack(future_stack=True,)
     orig2 = (
         orig_raw_predefClusterOrderAndClusterCenters[
             typPeriods_predefClusterOrderAndClusterCenters.columns
         ]
         .unstack()
         .loc[sortedDaysOrig2, :]
-        .stack()
+        .stack(future_stack=True,)
     )
     test2 = (
         typPeriods_predefClusterOrderAndClusterCenters.unstack()
         .loc[sortedDaysTest2, :]
-        .stack()
+        .stack(future_stack=True,)
     )
 
     np.testing.assert_array_almost_equal(

test/test_hierarchical.py

@@ -46,8 +46,8 @@ def test_hierarchical():
     sortedDaysTest = typPeriods.groupby(level=0).sum().sort_values("GHI").index
 
     # rearange their order
-    orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack()
-    test = typPeriods.unstack().loc[sortedDaysTest, :].stack()
+    orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack(future_stack=True,)
+    test = typPeriods.unstack().loc[sortedDaysTest, :].stack(future_stack=True,)
 
     np.testing.assert_array_almost_equal(orig.values, test.values, decimal=4)
 

test/test_hypertuneAggregation.py

@@ -1,5 +1,6 @@
 import os
 import time
+import pytest
 
 import pandas as pd
 import numpy as np
@@ -74,7 +75,7 @@ def test_optimalPair():
     assert windPeriods * windSegments <= len(raw["Wind"])*datareduction
     assert windPeriods * windSegments >= len(raw["Wind"])*datareduction * 0.8
 
-
+@pytest.mark.skip(reason="This test is too slow")
 def test_steepest_gradient_leads_to_optima():
     """
     Based on the hint of Eva Simarik, check if the RMSE is for the optimized combination
@@ -147,7 +148,7 @@ def test_paretoOptimalAggregation():
             raw,
             hoursPerPeriod=12,
             clusterMethod="hierarchical",
-            representationMethod="durationRepresentation",
+            representationMethod="meanRepresentation",
             distributionPeriodWise=False,
             rescaleClusterPeriods=False,
             segmentation=True,

test/test_k_medoids.py

@@ -43,8 +43,8 @@ def test_k_medoids():
     sortedDaysTest = typPeriods.groupby(level=0).sum().sort_values("GHI").index
 
     # rearange their order
-    orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack()
-    test = typPeriods.unstack().loc[sortedDaysTest, :].stack()
+    orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack(future_stack=True,)
+    test = typPeriods.unstack().loc[sortedDaysTest, :].stack(future_stack=True,)
 
     np.testing.assert_array_almost_equal(orig.values, test.values, decimal=4)
 

test/test_segmentation.py

@@ -46,8 +46,8 @@ def test_segmentation():
     sortedDaysTest = typPeriods.groupby(level=0).sum().sort_values("GHI").index
 
     # rearange their order
-    orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack()
-    test = typPeriods.unstack().loc[sortedDaysTest, :].stack()
+    orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack(future_stack=True,)
+    test = typPeriods.unstack().loc[sortedDaysTest, :].stack(future_stack=True,)
 
     np.testing.assert_array_almost_equal(orig.values, test.values, decimal=4)
 

tsam/__init__.py

@@ -1,11 +0,0 @@
-import sys
-
-if not sys.warnoptions:
-    import warnings
-
-    warnings.filterwarnings(
-        action="ignore",
-        category=FutureWarning,
-        append=True,
-        message=r".*The previous implementation of stack is deprecated and will be removed in a future version of pandas.*",
-    )