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Release 0.7.0
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LICENSE

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Copyright (c) 2012-2024, Andrew P. Davison, Joël Chavas, Elodie Legouée (CNRS) and Ankur Sinha (UCL)
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Copyright (c) 2012-2026, Andrew P. Davison, Joël Chavas, Elodie Legouée (CNRS) and Ankur Sinha (UCL)
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All rights reserved.
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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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Neither the names of the copyright holders nor the names of the contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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* Neither the names of the copyright holders nor the names of the contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

README.rst

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.. image:: https://readthedocs.org/projects/lazyarray/badge/?version=latest
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:target: http://lazyarray.readthedocs.io/en/latest/
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.. image:: https://github.com/NeuralEnsemble/lazyarrays/actions/workflows/test.yml/badge.svg
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.. image:: https://github.com/NeuralEnsemble/lazyarray/actions/workflows/test.yml/badge.svg
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:target: https://github.com/NeuralEnsemble/lazyarray/actions
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.. image:: https://coveralls.io/repos/github/NeuralEnsemble/lazyarray/badge.svg?branch=master

changelog.txt

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* Tested with NumPy 2.0, minimum NumPy version tested is now 1.20.
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* Switch to GitHub Actions for continuous integration testing.
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Release 0.7.0
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=============
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* Minor updates to work with recent versions of NumPy and SciPy
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* Add support for Python 3.13, 3.14; remove testing for Python 3.9 and below, and for NumPy 1.22 and below.
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.. _`#3`: https://bitbucket.org/apdavison/lazyarray/issue/3/
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.. _`#4`: https://bitbucket.org/apdavison/lazyarray/issue/4/
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.. _`#5`: https://bitbucket.org/apdavison/lazyarray/issue/5/

doc/conf.py

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# General information about the project.
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project = u'lazyarray'
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contributors = 'Andrew P. Davison, Joël Chavas, Elodie Legouée (CNRS) and Ankur Sinha (UCL)'
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copyright = f'2012-2024, {contributors}'
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copyright = f'2012-2026, {contributors}'
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# The version info for the project you're documenting, acts as replacement for
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# |version| and |release|, also used in various other places throughout the
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# built documents.
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#
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# The short X.Y version.
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version = '0.5'
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version = '0.7'
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# The full version, including alpha/beta/rc tags.
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release = '0.6.0'
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release = '0.7.0.dev.0'
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# The language for content autogenerated by Sphinx. Refer to documentation
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# for a list of supported languages.

doc/installation.txt

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Dependencies
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============
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* Python >= 3.8
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* numpy_ >= 1.20
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* (optional) scipy_ >= 1.7
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* Python >= 3.10
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* numpy_ >= 1.23
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* (optional) scipy_ >= 1.9
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Installing from the Python Package Index
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========================================

lazyarray.py

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from collections import Iterator
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__version__ = "0.6.0"
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__version__ = "0.7.0"
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logger = logging.getLogger("lazyarray")
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pyproject.toml

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[project]
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name = "lazyarray"
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version = "0.7.0.dev.0"
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version = "0.7.0"
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description = "A Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays."
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readme = "README.rst"
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requires-python = ">=3.10"

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