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"""
Hypothesis data generator helpers.
"""
from datetime import datetime
from hypothesis import strategies as st
from hypothesis.extra.dateutil import timezones as dateutil_timezones
from hypothesis.extra.pytz import timezones as pytz_timezones
from pandas.compat import is_platform_windows
import pandas as pd
from pandas.tseries.offsets import (
BMonthBegin,
BMonthEnd,
BQuarterBegin,
BQuarterEnd,
BYearBegin,
BYearEnd,
MonthBegin,
MonthEnd,
QuarterBegin,
QuarterEnd,
YearBegin,
YearEnd,
)
OPTIONAL_INTS = st.lists(st.one_of(st.integers(), st.none()), max_size=10, min_size=3)
OPTIONAL_FLOATS = st.lists(st.one_of(st.floats(), st.none()), max_size=10, min_size=3)
OPTIONAL_TEXT = st.lists(st.one_of(st.none(), st.text()), max_size=10, min_size=3)
OPTIONAL_DICTS = st.lists(
st.one_of(st.none(), st.dictionaries(st.text(), st.integers())),
max_size=10,
min_size=3,
)
OPTIONAL_LISTS = st.lists(
st.one_of(st.none(), st.lists(st.text(), max_size=10, min_size=3)),
max_size=10,
min_size=3,
)
OPTIONAL_ONE_OF_ALL = st.one_of(
OPTIONAL_DICTS, OPTIONAL_FLOATS, OPTIONAL_INTS, OPTIONAL_LISTS, OPTIONAL_TEXT
)
if is_platform_windows():
DATETIME_NO_TZ = st.datetimes(min_value=datetime(1900, 1, 1))
else:
DATETIME_NO_TZ = st.datetimes()
DATETIME_JAN_1_1900_OPTIONAL_TZ = st.datetimes(
min_value=pd.Timestamp(1900, 1, 1).to_pydatetime(),
max_value=pd.Timestamp(1900, 1, 1).to_pydatetime(),
timezones=st.one_of(st.none(), dateutil_timezones(), pytz_timezones()),
)
DATETIME_IN_PD_TIMESTAMP_RANGE_NO_TZ = st.datetimes(
min_value=pd.Timestamp.min.to_pydatetime(warn=False),
max_value=pd.Timestamp.max.to_pydatetime(warn=False),
)
INT_NEG_999_TO_POS_999 = st.integers(-999, 999)
# The strategy for each type is registered in conftest.py, as they don't carry
# enough runtime information (e.g. type hints) to infer how to build them.
YQM_OFFSET = st.one_of(
*map(
st.from_type,
[
MonthBegin,
MonthEnd,
BMonthBegin,
BMonthEnd,
QuarterBegin,
QuarterEnd,
BQuarterBegin,
BQuarterEnd,
YearBegin,
YearEnd,
BYearBegin,
BYearEnd,
],
)
)