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annotate env/lib/python3.7/site-packages/scandir-1.10.0-py3.7.egg-info/PKG-INFO @ 0:26e78fe6e8c4 draft

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"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
author shellac
date Sat, 02 May 2020 07:14:21 -0400
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1 Metadata-Version: 1.1
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2 Name: scandir
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3 Version: 1.10.0
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4 Summary: scandir, a better directory iterator and faster os.walk()
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5 Home-page: https://github.com/benhoyt/scandir
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6 Author: Ben Hoyt
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7 Author-email: benhoyt@gmail.com
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8 License: New BSD License
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9 Description:
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10 scandir, a better directory iterator and faster os.walk()
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11 =========================================================
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12
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13 .. image:: https://img.shields.io/pypi/v/scandir.svg
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14 :target: https://pypi.python.org/pypi/scandir
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15 :alt: scandir on PyPI (Python Package Index)
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16
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17 .. image:: https://travis-ci.org/benhoyt/scandir.svg?branch=master
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18 :target: https://travis-ci.org/benhoyt/scandir
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19 :alt: Travis CI tests (Linux)
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20
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21 .. image:: https://ci.appveyor.com/api/projects/status/github/benhoyt/scandir?branch=master&svg=true
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22 :target: https://ci.appveyor.com/project/benhoyt/scandir
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23 :alt: Appveyor tests (Windows)
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24
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25
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26 ``scandir()`` is a directory iteration function like ``os.listdir()``,
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27 except that instead of returning a list of bare filenames, it yields
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28 ``DirEntry`` objects that include file type and stat information along
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29 with the name. Using ``scandir()`` increases the speed of ``os.walk()``
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30 by 2-20 times (depending on the platform and file system) by avoiding
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31 unnecessary calls to ``os.stat()`` in most cases.
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32
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33
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34 Now included in a Python near you!
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35 ----------------------------------
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36
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37 ``scandir`` has been included in the Python 3.5 standard library as
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38 ``os.scandir()``, and the related performance improvements to
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39 ``os.walk()`` have also been included. So if you're lucky enough to be
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40 using Python 3.5 (release date September 13, 2015) you get the benefit
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41 immediately, otherwise just
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42 `download this module from PyPI <https://pypi.python.org/pypi/scandir>`_,
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43 install it with ``pip install scandir``, and then do something like
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44 this in your code:
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45
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46 .. code-block:: python
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47
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48 # Use the built-in version of scandir/walk if possible, otherwise
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49 # use the scandir module version
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50 try:
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51 from os import scandir, walk
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52 except ImportError:
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53 from scandir import scandir, walk
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54
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55 `PEP 471 <https://www.python.org/dev/peps/pep-0471/>`_, which is the
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56 PEP that proposes including ``scandir`` in the Python standard library,
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57 was `accepted <https://mail.python.org/pipermail/python-dev/2014-July/135561.html>`_
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58 in July 2014 by Victor Stinner, the BDFL-delegate for the PEP.
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59
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60 This ``scandir`` module is intended to work on Python 2.7+ and Python
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61 3.4+ (and it has been tested on those versions).
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62
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63
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64 Background
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65 ----------
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66
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67 Python's built-in ``os.walk()`` is significantly slower than it needs to be,
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68 because -- in addition to calling ``listdir()`` on each directory -- it calls
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69 ``stat()`` on each file to determine whether the filename is a directory or not.
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70 But both ``FindFirstFile`` / ``FindNextFile`` on Windows and ``readdir`` on Linux/OS
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71 X already tell you whether the files returned are directories or not, so
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72 no further ``stat`` system calls are needed. In short, you can reduce the number
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73 of system calls from about 2N to N, where N is the total number of files and
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74 directories in the tree.
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75
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76 In practice, removing all those extra system calls makes ``os.walk()`` about
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77 **7-50 times as fast on Windows, and about 3-10 times as fast on Linux and Mac OS
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78 X.** So we're not talking about micro-optimizations. See more benchmarks
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79 in the "Benchmarks" section below.
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80
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81 Somewhat relatedly, many people have also asked for a version of
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82 ``os.listdir()`` that yields filenames as it iterates instead of returning them
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83 as one big list. This improves memory efficiency for iterating very large
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84 directories.
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85
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86 So as well as a faster ``walk()``, scandir adds a new ``scandir()`` function.
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87 They're pretty easy to use, but see "The API" below for the full docs.
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88
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89
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90 Benchmarks
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91 ----------
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92
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93 Below are results showing how many times as fast ``scandir.walk()`` is than
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94 ``os.walk()`` on various systems, found by running ``benchmark.py`` with no
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95 arguments:
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96
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97 ==================== ============== =============
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98 System version Python version Times as fast
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99 ==================== ============== =============
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100 Windows 7 64-bit 2.7.7 64-bit 10.4
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101 Windows 7 64-bit SSD 2.7.7 64-bit 10.3
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102 Windows 7 64-bit NFS 2.7.6 64-bit 36.8
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103 Windows 7 64-bit SSD 3.4.1 64-bit 9.9
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104 Windows 7 64-bit SSD 3.5.0 64-bit 9.5
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105 Ubuntu 14.04 64-bit 2.7.6 64-bit 5.8
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106 Mac OS X 10.9.3 2.7.5 64-bit 3.8
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107 ==================== ============== =============
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108
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109 All of the above tests were done using the fast C version of scandir
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110 (source code in ``_scandir.c``).
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111
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112 Note that the gains are less than the above on smaller directories and greater
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113 on larger directories. This is why ``benchmark.py`` creates a test directory
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114 tree with a standardized size.
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115
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116
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117 The API
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118 -------
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119
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120 walk()
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121 ~~~~~~
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122
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123 The API for ``scandir.walk()`` is exactly the same as ``os.walk()``, so just
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124 `read the Python docs <https://docs.python.org/3.5/library/os.html#os.walk>`_.
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125
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126 scandir()
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127 ~~~~~~~~~
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128
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129 The full docs for ``scandir()`` and the ``DirEntry`` objects it yields are
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130 available in the `Python documentation here <https://docs.python.org/3.5/library/os.html#os.scandir>`_.
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131 But below is a brief summary as well.
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132
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133 scandir(path='.') -> iterator of DirEntry objects for given path
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134
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135 Like ``listdir``, ``scandir`` calls the operating system's directory
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136 iteration system calls to get the names of the files in the given
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137 ``path``, but it's different from ``listdir`` in two ways:
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138
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139 * Instead of returning bare filename strings, it returns lightweight
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140 ``DirEntry`` objects that hold the filename string and provide
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141 simple methods that allow access to the additional data the
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142 operating system may have returned.
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143
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144 * It returns a generator instead of a list, so that ``scandir`` acts
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145 as a true iterator instead of returning the full list immediately.
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146
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147 ``scandir()`` yields a ``DirEntry`` object for each file and
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148 sub-directory in ``path``. Just like ``listdir``, the ``'.'``
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149 and ``'..'`` pseudo-directories are skipped, and the entries are
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150 yielded in system-dependent order. Each ``DirEntry`` object has the
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151 following attributes and methods:
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152
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153 * ``name``: the entry's filename, relative to the scandir ``path``
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154 argument (corresponds to the return values of ``os.listdir``)
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155
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156 * ``path``: the entry's full path name (not necessarily an absolute
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157 path) -- the equivalent of ``os.path.join(scandir_path, entry.name)``
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158
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159 * ``is_dir(*, follow_symlinks=True)``: similar to
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160 ``pathlib.Path.is_dir()``, but the return value is cached on the
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161 ``DirEntry`` object; doesn't require a system call in most cases;
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162 don't follow symbolic links if ``follow_symlinks`` is False
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163
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164 * ``is_file(*, follow_symlinks=True)``: similar to
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165 ``pathlib.Path.is_file()``, but the return value is cached on the
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166 ``DirEntry`` object; doesn't require a system call in most cases;
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167 don't follow symbolic links if ``follow_symlinks`` is False
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168
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169 * ``is_symlink()``: similar to ``pathlib.Path.is_symlink()``, but the
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170 return value is cached on the ``DirEntry`` object; doesn't require a
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171 system call in most cases
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172
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173 * ``stat(*, follow_symlinks=True)``: like ``os.stat()``, but the
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174 return value is cached on the ``DirEntry`` object; does not require a
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175 system call on Windows (except for symlinks); don't follow symbolic links
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176 (like ``os.lstat()``) if ``follow_symlinks`` is False
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177
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178 * ``inode()``: return the inode number of the entry; the return value
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179 is cached on the ``DirEntry`` object
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180
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181 Here's a very simple example of ``scandir()`` showing use of the
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182 ``DirEntry.name`` attribute and the ``DirEntry.is_dir()`` method:
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183
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184 .. code-block:: python
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185
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186 def subdirs(path):
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187 """Yield directory names not starting with '.' under given path."""
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188 for entry in os.scandir(path):
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189 if not entry.name.startswith('.') and entry.is_dir():
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190 yield entry.name
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191
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192 This ``subdirs()`` function will be significantly faster with scandir
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193 than ``os.listdir()`` and ``os.path.isdir()`` on both Windows and POSIX
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194 systems, especially on medium-sized or large directories.
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195
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196
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197 Further reading
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198 ---------------
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199
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200 * `The Python docs for scandir <https://docs.python.org/3.5/library/os.html#os.scandir>`_
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201 * `PEP 471 <https://www.python.org/dev/peps/pep-0471/>`_, the
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202 (now-accepted) Python Enhancement Proposal that proposed adding
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203 ``scandir`` to the standard library -- a lot of details here,
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204 including rejected ideas and previous discussion
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205
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206
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207 Flames, comments, bug reports
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208 -----------------------------
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209
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210 Please send flames, comments, and questions about scandir to Ben Hoyt:
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211
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212 http://benhoyt.com/
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213
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214 File bug reports for the version in the Python 3.5 standard library
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215 `here <https://docs.python.org/3.5/bugs.html>`_, or file bug reports
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216 or feature requests for this module at the GitHub project page:
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217
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218 https://github.com/benhoyt/scandir
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219
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220 Platform: UNKNOWN
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221 Classifier: Development Status :: 5 - Production/Stable
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222 Classifier: Intended Audience :: Developers
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223 Classifier: Operating System :: OS Independent
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224 Classifier: License :: OSI Approved :: BSD License
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225 Classifier: Programming Language :: Python
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226 Classifier: Topic :: System :: Filesystems
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227 Classifier: Topic :: System :: Operating System
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228 Classifier: Programming Language :: Python
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229 Classifier: Programming Language :: Python :: 2
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230 Classifier: Programming Language :: Python :: 2.7
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231 Classifier: Programming Language :: Python :: 3
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232 Classifier: Programming Language :: Python :: 3.4
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233 Classifier: Programming Language :: Python :: 3.5
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234 Classifier: Programming Language :: Python :: 3.6
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235 Classifier: Programming Language :: Python :: 3.7
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236 Classifier: Programming Language :: Python :: Implementation :: CPython