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appveyor: Try to fix conda-3.4 & READM line-wdith
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‎.appveyor.yml

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@@ -13,13 +13,16 @@ environment:
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IS_CONDA: "yes"
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GIT_PATH: "%CYGWIN_GIT_PATH%"
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- PYTHON: "C:\\Python34-x64"
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PYTHON_VERSION: "3.4"
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GIT_PATH: "%CYGWIN64_GIT_PATH%"
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- PYTHON: "C:\\Python34-x64"
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PYTHON_VERSION: "3.4"
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GIT_PATH: "%CYGWIN_GIT_PATH%"
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- PYTHON: "C:\\Miniconda3-x64"
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PYTHON_VERSION: "3.4"
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IS_CONDA: "yes"
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GIT_PATH: "%GIT_DAEMON_PATH%"
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- PYTHON: "C:\\Python34"
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PYTHON_VERSION: "3.4"
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GIT_PATH: "%CYGWIN64_GIT_PATH%"
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- PYTHON: "C:\\Python35-x64"
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PYTHON_VERSION: "3.5"
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- IF "%IS_CONDA%"=="yes" (
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conda info -a &
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conda install --yes --quiet pip
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conda install --yes --quiet pip smmap
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)
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- pip install nose wheel coveralls
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- IF "%PYTHON_VERSION%"=="2.7" (

‎README.md

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## GitPython
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GitPython is a python library used to interact with git repositories, high-level like git-porcelain, or low-level like git-plumbing.
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GitPython is a python library used to interact with git repositories, high-level like git-porcelain,
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or low-level like git-plumbing.
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It provides abstractions of git objects for easy access of repository data, and additionally allows you to access the git repository more directly using either a pure python implementation, or the faster, but more resource intensive git command implementation.
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It provides abstractions of git objects for easy access of repository data, and additionally
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allows you to access the git repository more directly using either a pure python implementation,
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or the faster, but more resource intensive *git command* implementation.
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The object database implementation is optimized for handling large quantities of objects and large datasets, which is achieved by using low-level structures and data streaming.
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The object database implementation is optimized for handling large quantities of objects and large datasets,
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which is achieved by using low-level structures and data streaming.
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### REQUIREMENTS
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GitPython needs the `git` executable to be installed on the system and available in your `PATH` for most operations. If it is not in your `PATH`, you can help GitPython find it by setting the `GIT_PYTHON_GIT_EXECUTABLE=<path/to/git>` environment variable.
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GitPython needs the `git` executable to be installed on the system and available
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in your `PATH` for most operations.
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If it is not in your `PATH`, you can help GitPython find it by setting
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the `GIT_PYTHON_GIT_EXECUTABLE=<path/to/git>` environment variable.
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* Git (1.7.x or newer)
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* Python 2.7 to 3.5, while python 2.6 is supported on a *best-effort basis*.
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The list of dependencies are listed in `./requirements.txt` and `./test-requirements.txt`. The installer takes care of installing them for you.
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The list of dependencies are listed in `./requirements.txt` and `./test-requirements.txt`.
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The installer takes care of installing them for you.
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### INSTALL
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@@ -92,7 +100,8 @@ Please have a look at the [contributions file][contributing].
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* [Questions and Answers](http://stackexchange.com/filters/167317/gitpython)
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* Please post on stackoverflow and use the `gitpython` tag
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* [Issue Tracker](https://github.com/gitpython-developers/GitPython/issues)
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* Post reproducible bugs and feature requests as a new issue. Please be sure to provide the following information if posting bugs:
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* Post reproducible bugs and feature requests as a new issue.
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Please be sure to provide the following information if posting bugs:
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* GitPython version (e.g. `import git; git.__version__`)
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* Python version (e.g. `python --version`)
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* The encountered stack-trace, if applicable
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[![Stories in Ready](https://badge.waffle.io/gitpython-developers/GitPython.png?label=ready&title=Ready)](https://waffle.io/gitpython-developers/GitPython)
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[![Throughput Graph](https://graphs.waffle.io/gitpython-developers/GitPython/throughput.svg)](https://waffle.io/gitpython-developers/GitPython/metrics/throughput)
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Now that there seems to be a massive user base, this should be motivation enough to let git-python return to a proper state, which means
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Now that there seems to be a massive user base, this should be motivation enough to let git-python
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return to a proper state, which means
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* no open pull requests
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* no open issues describing bugs

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