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check_env.py
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check_env.py
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from __future__ import print_function
from distutils.version import LooseVersion as Version
import sys
OK = '\x1b[42m[ OK ]\x1b[0m'
FAIL = "\x1b[41m[FAIL]\x1b[0m"
try:
import importlib
except ImportError:
print(FAIL, "Python version 3.6 or above is required,"
" but %s is installed." % sys.version)
def import_version(pkg, min_ver, fail_msg=""):
mod = None
try:
mod = importlib.import_module(pkg)
if pkg in {'PIL'}:
try:
ver = mod.VERSION
except AttributeError:
try:
ver = mod.PILLOW_VERSION
except:
raise
else:
ver = mod.__version__
if Version(ver) < min_ver:
print(FAIL, "%s version %s or higher required, but %s installed."
% (lib, min_ver, ver))
else:
print(OK, '%s version %s' % (pkg, ver))
except ImportError:
print(FAIL, '%s not installed. %s' % (pkg, fail_msg))
return mod
# first check the python version
print('Using python in', sys.prefix)
print(sys.version)
pyversion = Version(sys.version)
if pyversion >= "3":
if pyversion < "3.6":
print(FAIL, "Python version 3.6 or above is required,"
" but %s is installed." % sys.version)
elif pyversion >= "2":
print(FAIL, "Python version 3.6 or above is required,"
" but %s is installed." % sys.version)
else:
print(FAIL, "Unknown Python version: %s" % sys.version)
print()
requirements = {'numpy': "1.16", 'scipy': "1.2", 'matplotlib': "3.0",
'IPython': "3.0", 'sklearn': "0.21", 'pandas': "0.24",
'PIL': "1.1.7", 'notebook': "5.7", 'plotly': "4.3",
'pandas_profiling': "2.3"}
# now the dependencies
for lib, required_version in list(requirements.items()):
import_version(lib, required_version)