Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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85 lines
2.0 KiB
85 lines
2.0 KiB
4 years ago
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from contextlib import contextmanager
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import os
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import tempfile
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import pytest
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from pandas.io.pytables import HDFStore
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tables = pytest.importorskip("tables")
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# set these parameters so we don't have file sharing
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tables.parameters.MAX_NUMEXPR_THREADS = 1
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tables.parameters.MAX_BLOSC_THREADS = 1
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tables.parameters.MAX_THREADS = 1
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def safe_remove(path):
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if path is not None:
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try:
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os.remove(path)
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except OSError:
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pass
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def safe_close(store):
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try:
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if store is not None:
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store.close()
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except IOError:
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pass
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def create_tempfile(path):
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""" create an unopened named temporary file """
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return os.path.join(tempfile.gettempdir(), path)
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# contextmanager to ensure the file cleanup
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@contextmanager
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def ensure_clean_store(path, mode="a", complevel=None, complib=None, fletcher32=False):
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try:
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# put in the temporary path if we don't have one already
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if not len(os.path.dirname(path)):
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path = create_tempfile(path)
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store = HDFStore(
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path, mode=mode, complevel=complevel, complib=complib, fletcher32=False
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)
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yield store
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finally:
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safe_close(store)
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if mode == "w" or mode == "a":
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safe_remove(path)
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@contextmanager
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def ensure_clean_path(path):
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"""
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return essentially a named temporary file that is not opened
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and deleted on exiting; if path is a list, then create and
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return list of filenames
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"""
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try:
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if isinstance(path, list):
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filenames = [create_tempfile(p) for p in path]
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yield filenames
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else:
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filenames = [create_tempfile(path)]
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yield filenames[0]
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finally:
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for f in filenames:
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safe_remove(f)
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def _maybe_remove(store, key):
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"""
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For tests using tables, try removing the table to be sure there is
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no content from previous tests using the same table name.
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"""
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try:
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store.remove(key)
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except (ValueError, KeyError):
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pass
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