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chore: upgrade timely-beliefs for faster resampling and some other operations (#1842)
Signed-off-by: F.N. Claessen <felix@seita.nl>
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documentation/changelog.rst

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Infrastructure / Support
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----------------------
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* Updated dependencies [see `PR #1752 <https://www.github.com/FlexMeasures/flexmeasures/pull/1752>`_ and `PR #1820 <https://www.github.com/FlexMeasures/flexmeasures/pull/1820>`_]
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* Updated dependencies [see `PR #1752 <https://www.github.com/FlexMeasures/flexmeasures/pull/1752>`_, `PR #1820 <https://www.github.com/FlexMeasures/flexmeasures/pull/1820>`_ and `PR #1842 <https://www.github.com/FlexMeasures/flexmeasures/pull/1842>`_]
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* Speed up data searches by refactoring our filter for selecting data from the latest version of a data generating model [see `PR #1698 <https://github.com/FlexMeasures/flexmeasures/pull/1698>`_]
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* Add new tutorial for PV curtailment and multi-asset scheduling [see `PR #1804 <https://github.com/FlexMeasures/flexmeasures/pull/1804>`_]
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* Drop need for .env file in favour of more adaptation of flexmeasures.cfg config file [see `PR #1759 <https://github.com/FlexMeasures/flexmeasures/pull/1759>`_]

requirements/3.10/app.txt

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# via
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# scikit-learn
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# statsforecast
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timely-beliefs[forecast]==3.2.3
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timely-beliefs[forecast]==3.3.0
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# via -r requirements/app.in
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timetomodel==0.7.3
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# via -r requirements/app.in

requirements/3.11/app.txt

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# via
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# scikit-learn
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# statsforecast
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timely-beliefs[forecast]==3.2.3
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timely-beliefs[forecast]==3.3.0
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# via -r requirements/app.in
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timetomodel==0.7.3
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# via -r requirements/app.in

requirements/3.12/app.txt

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# via
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# scikit-learn
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# statsforecast
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timely-beliefs[forecast]==3.2.3
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timely-beliefs[forecast]==3.3.0
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# via -r requirements/app.in
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timetomodel==0.7.3
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# via -r requirements/app.in

requirements/3.9/app.txt

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# via
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# scikit-learn
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# statsforecast
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timely-beliefs[forecast]==3.2.3
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timely-beliefs[forecast]==3.3.0
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# via -r requirements/app.in
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timetomodel==0.7.3
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# via -r requirements/app.in

requirements/app.in

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pyomo>=5.6,<6.9
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tabulate
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timetomodel>=0.7.3
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# 3.0.2: significantly faster db queries, incl. bulk saving, 3.1: numpy/pandas upgrade
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timely-beliefs[forecast]>=3.2.1
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# 3.3.0: significantly faster resampling
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timely-beliefs[forecast]>=3.3.0
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python-dotenv
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# a backport, not needed in Python3.8
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importlib_metadata

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