Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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174 lines
4.2 KiB
174 lines
4.2 KiB
from datetime import datetime
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import numpy as np
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import pytest
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from pandas import DataFrame, Series
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from pandas.core.indexes.datetimes import date_range
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from pandas.core.indexes.period import period_range
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# The various methods we support
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downsample_methods = [
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"min",
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"max",
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"first",
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"last",
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"sum",
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"mean",
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"sem",
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"median",
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"prod",
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"var",
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"std",
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"ohlc",
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"quantile",
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]
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upsample_methods = ["count", "size"]
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series_methods = ["nunique"]
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resample_methods = downsample_methods + upsample_methods + series_methods
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@pytest.fixture(params=downsample_methods)
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def downsample_method(request):
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"""Fixture for parametrization of Grouper downsample methods."""
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return request.param
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@pytest.fixture(params=upsample_methods)
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def upsample_method(request):
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"""Fixture for parametrization of Grouper upsample methods."""
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return request.param
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@pytest.fixture(params=resample_methods)
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def resample_method(request):
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"""Fixture for parametrization of Grouper resample methods."""
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return request.param
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@pytest.fixture
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def simple_date_range_series():
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"""
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Series with date range index and random data for test purposes.
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"""
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def _simple_date_range_series(start, end, freq="D"):
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rng = date_range(start, end, freq=freq)
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return Series(np.random.randn(len(rng)), index=rng)
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return _simple_date_range_series
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@pytest.fixture
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def simple_period_range_series():
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"""
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Series with period range index and random data for test purposes.
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"""
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def _simple_period_range_series(start, end, freq="D"):
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rng = period_range(start, end, freq=freq)
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return Series(np.random.randn(len(rng)), index=rng)
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return _simple_period_range_series
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@pytest.fixture
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def _index_start():
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"""Fixture for parametrization of index, series and frame."""
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return datetime(2005, 1, 1)
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@pytest.fixture
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def _index_end():
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"""Fixture for parametrization of index, series and frame."""
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return datetime(2005, 1, 10)
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@pytest.fixture
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def _index_freq():
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"""Fixture for parametrization of index, series and frame."""
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return "D"
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@pytest.fixture
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def _index_name():
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"""Fixture for parametrization of index, series and frame."""
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return None
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@pytest.fixture
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def index(_index_factory, _index_start, _index_end, _index_freq, _index_name):
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"""
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Fixture for parametrization of date_range, period_range and
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timedelta_range indexes
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"""
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return _index_factory(_index_start, _index_end, freq=_index_freq, name=_index_name)
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@pytest.fixture
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def _static_values(index):
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"""
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Fixture for parametrization of values used in parametrization of
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Series and DataFrames with date_range, period_range and
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timedelta_range indexes
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"""
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return np.arange(len(index))
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@pytest.fixture
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def _series_name():
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"""
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Fixture for parametrization of Series name for Series used with
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date_range, period_range and timedelta_range indexes
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"""
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return None
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@pytest.fixture
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def series(index, _series_name, _static_values):
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"""
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Fixture for parametrization of Series with date_range, period_range and
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timedelta_range indexes
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"""
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return Series(_static_values, index=index, name=_series_name)
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@pytest.fixture
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def empty_series_dti(series):
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"""
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Fixture for parametrization of empty Series with date_range,
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period_range and timedelta_range indexes
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"""
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return series[:0]
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@pytest.fixture
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def frame(index, _series_name, _static_values):
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"""
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Fixture for parametrization of DataFrame with date_range, period_range
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and timedelta_range indexes
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"""
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# _series_name is intentionally unused
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return DataFrame({"value": _static_values}, index=index)
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@pytest.fixture
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def empty_frame_dti(series):
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"""
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Fixture for parametrization of empty DataFrame with date_range,
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period_range and timedelta_range indexes
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"""
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index = series.index[:0]
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return DataFrame(index=index)
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@pytest.fixture(params=[Series, DataFrame])
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def series_and_frame(request, series, frame):
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"""
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Fixture for parametrization of Series and DataFrame with date_range,
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period_range and timedelta_range indexes
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"""
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if request.param == Series:
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return series
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if request.param == DataFrame:
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return frame
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