def sanity_check_dependencies():
import numpy
import requests
import six
if distutils.version.LooseVersion(numpy.__version__) < distutils.version.LooseVersion('1.10.4'):
logger.warn("You have 'numpy' version %s installed, but 'gym' requires at least 1.10.4. HINT: upgrade via 'pip install -U numpy'.", numpy.__version__)
if distutils.version.LooseVersion(requests.__version__) < distutils.version.LooseVersion('2.0'):
logger.warn("You have 'requests' version %s installed, but 'gym' requires at least 2.0. HINT: upgrade via 'pip install -U requests'.", requests.__version__)
# We automatically configure a logger with a simple stderr handler. If
# you'd rather customize logging yourself, run undo_logger_setup.
#
# (Note: this code runs before importing the rest of gym, since we may
# print a warning at load time.)
#
# It's generally not best practice to configure the logger in a
# library. We choose to do so because, empirically, many of our users
# are unfamiliar with Python's logging configuration, and never find
# their way to enabling our logging. Users who are aware of how to
# configure Python's logging do have to accept a bit of incovenience
# (generally by caling `gym.undo_logger_setup()`), but in exchange,
# the library becomes much more usable for the uninitiated.
#
# Gym's design goal generally is to be simple and intuitive, and while
# the tradeoff is definitely not obvious in this case, we've come down
# on the side of auto-configuring the logger.
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