init2

.eggs/README.txt

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+This directory contains eggs that were downloaded by setuptools to build, test, and run plug-ins.
+
+This directory caches those eggs to prevent repeated downloads.
+
+However, it is safe to delete this directory.
+

.eggs/numpy-1.16.2-py3.6-linux-x86_64.egg/EGG-INFO/PKG-INFO

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+Metadata-Version: 2.1
+Name: numpy
+Version: 1.16.2
+Summary: NumPy is the fundamental package for array computing with Python.
+Home-page: https://www.numpy.org
+Author: Travis E. Oliphant et al.
+Maintainer: NumPy Developers
+Maintainer-email: numpy-discussion@python.org
+License: BSD
+Download-URL: https://pypi.python.org/pypi/numpy
+Platform: Windows
+Platform: Linux
+Platform: Solaris
+Platform: Mac OS-X
+Platform: Unix
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Science/Research
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved
+Classifier: Programming Language :: C
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 2
+Classifier: Programming Language :: Python :: 2.7
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.4
+Classifier: Programming Language :: Python :: 3.5
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Topic :: Software Development
+Classifier: Topic :: Scientific/Engineering
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: POSIX
+Classifier: Operating System :: Unix
+Classifier: Operating System :: MacOS
+Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
+
+It provides:
+
+- a powerful N-dimensional array object
+- sophisticated (broadcasting) functions
+- tools for integrating C/C++ and Fortran code
+- useful linear algebra, Fourier transform, and random number capabilities
+- and much more
+
+Besides its obvious scientific uses, NumPy can also be used as an efficient
+multi-dimensional container of generic data. Arbitrary data-types can be
+defined. This allows NumPy to seamlessly and speedily integrate with a wide
+variety of databases.
+
+All NumPy wheels distributed on PyPI are BSD licensed.
+
+
+

.eggs/numpy-1.16.2-py3.6-linux-x86_64.egg/EGG-INFO/WHEEL

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+Wheel-Version: 1.0
+Generator: bdist_wheel (0.31.1)
+Root-Is-Purelib: false
+Tag: cp36-cp36m-manylinux1_x86_64
+

.eggs/numpy-1.16.2-py3.6-linux-x86_64.egg/EGG-INFO/entry_points.txt

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+[console_scripts]
+f2py = numpy.f2py.f2py2e:main
+f2py3 = numpy.f2py.f2py2e:main
+f2py3.6 = numpy.f2py.f2py2e:main
+

.eggs/numpy-1.16.2-py3.6-linux-x86_64.egg/EGG-INFO/top_level.txt

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+numpy