automatic import of python-mapplyopeneuler20.03

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+/mapply-0.1.21.tar.gz
diff --git a/python-mapply.spec b/python-mapply.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-mapply
+Version:	0.1.21
+Release:	1
+Summary:	Sensible multi-core apply function for Pandas
+License:	MIT
+URL:		https://github.com/ddelange/mapply
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d5/91/10e4fc128231b330a30d15e2e209c31c0c8151cca19487fd6b01264eb6b1/mapply-0.1.21.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pathos
+Requires:	python3-psutil
+Requires:	python3-tqdm
+
+%description
+# mapply
+
+[![build](https://img.shields.io/github/actions/workflow/status/ddelange/mapply/CI.yml?branch=master&logo=github&cacheSeconds=86400)](https://github.com/ddelange/mapply/actions?query=branch%3Amaster)
+[![codecov](https://img.shields.io/codecov/c/github/ddelange/mapply/master?logo=codecov&logoColor=white)](https://codecov.io/gh/ddelange/mapply)
+[![pypi Version](https://img.shields.io/pypi/v/mapply.svg?logo=pypi&logoColor=white)](https://pypi.org/project/mapply/)
+[![python](https://img.shields.io/pypi/pyversions/mapply.svg?logo=python&logoColor=white)](https://pypi.org/project/mapply/)
+[![downloads](https://pepy.tech/badge/mapply)](https://pypistats.org/packages/mapply)
+[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
+
+[`mapply`](https://github.com/ddelange/mapply) provides a sensible multi-core apply function for Pandas.
+
+### mapply vs. pandarallel vs. swifter
+
+Where [`pandarallel`](https://pypi.org/project/pandarallel) relies on in-house multiprocessing and progressbars, and hard-codes 1 chunk per worker (which will cause idle CPUs when one chunk happens to be more expensive than the others), [`swifter`](https://pypi.org/project/swifter) relies on the heavy [`dask`](https://pypi.org/project/dask) framework for multiprocessing (converting to Dask DataFrames and back). In an attempt to find the golden mean, `mapply` is highly customizable and remains lightweight, using [`tqdm`](https://pypi.org/project/tqdm) for progressbars and leveraging the powerful [`pathos`](https://pypi.org/project/pathos) framework, which shadows Python's built-in multiprocessing module using [`dill`](https://pypi.org/project/dill) for universal pickling.
+
+
+## Installation
+
+This pure-Python, OS independent package is available on [PyPI](https://pypi.org/project/mapply):
+
+```sh
+$ pip install mapply
+```
+
+
+## Usage
+
+[![readthedocs](https://readthedocs.org/projects/mapply/badge/?version=latest)](https://mapply.readthedocs.io)
+
+For documentation, see [mapply.readthedocs.io](https://mapply.readthedocs.io/en/stable/_code_reference/mapply.html).
+
+```py
+import pandas as pd
+import mapply
+
+mapply.init(
+    n_workers=-1,
+    chunk_size=100,
+    max_chunks_per_worker=8,
+    progressbar=False
+)
+
+df = pd.DataFrame({"A": list(range(100))})
+
+# avoid unnecessary multiprocessing:
+# due to chunk_size=100, this will act as regular apply.
+# set chunk_size=1 to skip this check and let max_chunks_per_worker decide.
+df["squared"] = df.A.mapply(lambda x: x ** 2)
+```
+
+
+## Development
+
+[![gitmoji](https://img.shields.io/badge/gitmoji-%20%F0%9F%98%9C%20%F0%9F%98%8D-ffdd67)](https://github.com/carloscuesta/gitmoji-cli)
+[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
+
+Run `make help` for options like installing for development, linting, testing, and building docs.
+
+
+%package -n python3-mapply
+Summary:	Sensible multi-core apply function for Pandas
+Provides:	python-mapply
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-mapply
+# mapply
+
+[![build](https://img.shields.io/github/actions/workflow/status/ddelange/mapply/CI.yml?branch=master&logo=github&cacheSeconds=86400)](https://github.com/ddelange/mapply/actions?query=branch%3Amaster)
+[![codecov](https://img.shields.io/codecov/c/github/ddelange/mapply/master?logo=codecov&logoColor=white)](https://codecov.io/gh/ddelange/mapply)
+[![pypi Version](https://img.shields.io/pypi/v/mapply.svg?logo=pypi&logoColor=white)](https://pypi.org/project/mapply/)
+[![python](https://img.shields.io/pypi/pyversions/mapply.svg?logo=python&logoColor=white)](https://pypi.org/project/mapply/)
+[![downloads](https://pepy.tech/badge/mapply)](https://pypistats.org/packages/mapply)
+[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
+
+[`mapply`](https://github.com/ddelange/mapply) provides a sensible multi-core apply function for Pandas.
+
+### mapply vs. pandarallel vs. swifter
+
+Where [`pandarallel`](https://pypi.org/project/pandarallel) relies on in-house multiprocessing and progressbars, and hard-codes 1 chunk per worker (which will cause idle CPUs when one chunk happens to be more expensive than the others), [`swifter`](https://pypi.org/project/swifter) relies on the heavy [`dask`](https://pypi.org/project/dask) framework for multiprocessing (converting to Dask DataFrames and back). In an attempt to find the golden mean, `mapply` is highly customizable and remains lightweight, using [`tqdm`](https://pypi.org/project/tqdm) for progressbars and leveraging the powerful [`pathos`](https://pypi.org/project/pathos) framework, which shadows Python's built-in multiprocessing module using [`dill`](https://pypi.org/project/dill) for universal pickling.
+
+
+## Installation
+
+This pure-Python, OS independent package is available on [PyPI](https://pypi.org/project/mapply):
+
+```sh
+$ pip install mapply
+```
+
+
+## Usage
+
+[![readthedocs](https://readthedocs.org/projects/mapply/badge/?version=latest)](https://mapply.readthedocs.io)
+
+For documentation, see [mapply.readthedocs.io](https://mapply.readthedocs.io/en/stable/_code_reference/mapply.html).
+
+```py
+import pandas as pd
+import mapply
+
+mapply.init(
+    n_workers=-1,
+    chunk_size=100,
+    max_chunks_per_worker=8,
+    progressbar=False
+)
+
+df = pd.DataFrame({"A": list(range(100))})
+
+# avoid unnecessary multiprocessing:
+# due to chunk_size=100, this will act as regular apply.
+# set chunk_size=1 to skip this check and let max_chunks_per_worker decide.
+df["squared"] = df.A.mapply(lambda x: x ** 2)
+```
+
+
+## Development
+
+[![gitmoji](https://img.shields.io/badge/gitmoji-%20%F0%9F%98%9C%20%F0%9F%98%8D-ffdd67)](https://github.com/carloscuesta/gitmoji-cli)
+[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
+
+Run `make help` for options like installing for development, linting, testing, and building docs.
+
+
+%package help
+Summary:	Development documents and examples for mapply
+Provides:	python3-mapply-doc
+%description help
+# mapply
+
+[![build](https://img.shields.io/github/actions/workflow/status/ddelange/mapply/CI.yml?branch=master&logo=github&cacheSeconds=86400)](https://github.com/ddelange/mapply/actions?query=branch%3Amaster)
+[![codecov](https://img.shields.io/codecov/c/github/ddelange/mapply/master?logo=codecov&logoColor=white)](https://codecov.io/gh/ddelange/mapply)
+[![pypi Version](https://img.shields.io/pypi/v/mapply.svg?logo=pypi&logoColor=white)](https://pypi.org/project/mapply/)
+[![python](https://img.shields.io/pypi/pyversions/mapply.svg?logo=python&logoColor=white)](https://pypi.org/project/mapply/)
+[![downloads](https://pepy.tech/badge/mapply)](https://pypistats.org/packages/mapply)
+[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
+
+[`mapply`](https://github.com/ddelange/mapply) provides a sensible multi-core apply function for Pandas.
+
+### mapply vs. pandarallel vs. swifter
+
+Where [`pandarallel`](https://pypi.org/project/pandarallel) relies on in-house multiprocessing and progressbars, and hard-codes 1 chunk per worker (which will cause idle CPUs when one chunk happens to be more expensive than the others), [`swifter`](https://pypi.org/project/swifter) relies on the heavy [`dask`](https://pypi.org/project/dask) framework for multiprocessing (converting to Dask DataFrames and back). In an attempt to find the golden mean, `mapply` is highly customizable and remains lightweight, using [`tqdm`](https://pypi.org/project/tqdm) for progressbars and leveraging the powerful [`pathos`](https://pypi.org/project/pathos) framework, which shadows Python's built-in multiprocessing module using [`dill`](https://pypi.org/project/dill) for universal pickling.
+
+
+## Installation
+
+This pure-Python, OS independent package is available on [PyPI](https://pypi.org/project/mapply):
+
+```sh
+$ pip install mapply
+```
+
+
+## Usage
+
+[![readthedocs](https://readthedocs.org/projects/mapply/badge/?version=latest)](https://mapply.readthedocs.io)
+
+For documentation, see [mapply.readthedocs.io](https://mapply.readthedocs.io/en/stable/_code_reference/mapply.html).
+
+```py
+import pandas as pd
+import mapply
+
+mapply.init(
+    n_workers=-1,
+    chunk_size=100,
+    max_chunks_per_worker=8,
+    progressbar=False
+)
+
+df = pd.DataFrame({"A": list(range(100))})
+
+# avoid unnecessary multiprocessing:
+# due to chunk_size=100, this will act as regular apply.
+# set chunk_size=1 to skip this check and let max_chunks_per_worker decide.
+df["squared"] = df.A.mapply(lambda x: x ** 2)
+```
+
+
+## Development
+
+[![gitmoji](https://img.shields.io/badge/gitmoji-%20%F0%9F%98%9C%20%F0%9F%98%8D-ffdd67)](https://github.com/carloscuesta/gitmoji-cli)
+[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
+
+Run `make help` for options like installing for development, linting, testing, and building docs.
+
+
+%prep
+%autosetup -n mapply-0.1.21
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-mapply -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.21-1
+- Package Spec generated
diff --git a/sources b/sources
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+04d7eb21b03770b5828574347fa89d0e  mapply-0.1.21.tar.gz