Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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64 lines
1.8 KiB
64 lines
1.8 KiB
4 years ago
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from __future__ import absolute_import
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import hashlib
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import logging
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import sys
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from pip._internal.cli.base_command import Command
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from pip._internal.cli.status_codes import ERROR, SUCCESS
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from pip._internal.utils.hashes import FAVORITE_HASH, STRONG_HASHES
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from pip._internal.utils.misc import read_chunks, write_output
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from pip._internal.utils.typing import MYPY_CHECK_RUNNING
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if MYPY_CHECK_RUNNING:
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from optparse import Values
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from typing import List
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logger = logging.getLogger(__name__)
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class HashCommand(Command):
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"""
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Compute a hash of a local package archive.
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These can be used with --hash in a requirements file to do repeatable
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installs.
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"""
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usage = '%prog [options] <file> ...'
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ignore_require_venv = True
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def add_options(self):
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# type: () -> None
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self.cmd_opts.add_option(
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'-a', '--algorithm',
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dest='algorithm',
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choices=STRONG_HASHES,
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action='store',
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default=FAVORITE_HASH,
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help='The hash algorithm to use: one of {}'.format(
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', '.join(STRONG_HASHES)))
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self.parser.insert_option_group(0, self.cmd_opts)
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def run(self, options, args):
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# type: (Values, List[str]) -> int
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if not args:
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self.parser.print_usage(sys.stderr)
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return ERROR
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algorithm = options.algorithm
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for path in args:
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write_output('%s:\n--hash=%s:%s',
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path, algorithm, _hash_of_file(path, algorithm))
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return SUCCESS
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def _hash_of_file(path, algorithm):
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# type: (str, str) -> str
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"""Return the hash digest of a file."""
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with open(path, 'rb') as archive:
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hash = hashlib.new(algorithm)
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for chunk in read_chunks(archive):
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hash.update(chunk)
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return hash.hexdigest()
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