Esempi in Python per e

Esempio n. 1

File: test_argument_validation.py Progetto: oleks/distributed-hypothesis

# contribution.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at http://mozilla.org/MPL/2.0/.
#
# END HEADER

from __future__ import division, print_function, absolute_import

import hypothesis.strategies as st
import hypothesis.extra.pandas as pdst
from tests.common.arguments import e, argument_validation_test

BAD_ARGS = [
    e(pdst.data_frames),
    e(pdst.data_frames, pdst.columns(1, dtype='not a dtype')),
    e(pdst.data_frames, pdst.columns(1, elements='not a strategy')),
    e(pdst.data_frames, pdst.columns([[]])),
    e(pdst.data_frames, [], index=[]),
    e(pdst.data_frames, [], rows=st.fixed_dictionaries({'A': st.just(1)})),
    e(pdst.data_frames, pdst.columns(1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, fill=1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, elements=1)),
    e(pdst.data_frames, pdst.columns(1, fill=1, dtype=float)),
    e(pdst.data_frames, pdst.columns(['A', 'A'], dtype=float)),
    e(pdst.data_frames, pdst.columns(1, elements=st.none(), dtype=int)),
    e(pdst.data_frames, 1),
    e(pdst.data_frames, [1]),
    e(pdst.data_frames, pdst.columns(1, dtype='category')),
    e(pdst.data_frames,

Esempio n. 2

File: test_argument_validation.py Progetto: windelbouwman/hypothesis

# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
#
# END HEADER

from datetime import datetime

import pandas as pd

import hypothesis.extra.pandas as pdst
import hypothesis.strategies as st
from hypothesis import given
from tests.common.arguments import argument_validation_test, e

BAD_ARGS = [
    e(pdst.data_frames),
    e(pdst.data_frames, pdst.columns(1, dtype="not a dtype")),
    e(pdst.data_frames, pdst.columns(1, elements="not a strategy")),
    e(pdst.data_frames, pdst.columns([[]])),
    e(pdst.data_frames, [], index=[]),
    e(pdst.data_frames, [], rows=st.fixed_dictionaries({"A": st.just(1)})),
    e(pdst.data_frames, pdst.columns(1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, fill=1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, elements=1)),
    e(pdst.data_frames, pdst.columns(1, fill=1, dtype=float)),
    e(pdst.data_frames, pdst.columns(["A", "A"], dtype=float)),
    e(pdst.data_frames, pdst.columns(1, elements=st.none(), dtype=int)),
    e(pdst.data_frames, 1),
    e(pdst.data_frames, [1]),
    e(pdst.data_frames, pdst.columns(1, dtype="category")),
    e(

Esempio n. 3

import hypothesis.strategies as st
from tests.common.arguments import argument_validation_test, e

BAD_ARGS = []


def adjust(ex, **kwargs):
    f, a, b = ex
    b = dict(b)
    b.update(kwargs)
    BAD_ARGS.append((f, a, b))


for ex in [
    e(st.lists, st.integers()),
    e(st.sets, st.integers()),
    e(st.frozensets, st.integers()),
    e(st.dictionaries, st.integers(), st.integers()),
    e(st.text),
    e(st.binary),
]:
    adjust(ex, min_size=-1)
    adjust(ex, max_size=-1)
    adjust(ex, min_size="no")
    adjust(ex, max_size="no")


BAD_ARGS.extend([e(st.lists, st.nothing(), unique=True, min_size=1)])

test_raise_invalid_argument = argument_validation_test(BAD_ARGS)

Esempio n. 4

File: test_argument_validation.py Progetto: doismellburning/hypothesis

# contribution.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at http://mozilla.org/MPL/2.0/.
#
# END HEADER

from __future__ import division, print_function, absolute_import

import hypothesis.strategies as st
import hypothesis.extra.pandas as pdst
from tests.common.arguments import e, argument_validation_test

BAD_ARGS = [
    e(pdst.data_frames),
    e(pdst.data_frames, pdst.columns(1, dtype='not a dtype')),
    e(pdst.data_frames, pdst.columns(1, elements='not a strategy')),
    e(pdst.data_frames, pdst.columns([[]])),
    e(pdst.data_frames, [], index=[]),
    e(pdst.data_frames, [], rows=st.fixed_dictionaries({'A': st.just(1)})),
    e(pdst.data_frames, pdst.columns(1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, fill=1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, elements=1)),
    e(pdst.data_frames, pdst.columns(1, fill=1, dtype=float)),
    e(pdst.data_frames, pdst.columns(['A', 'A'], dtype=float)),
    e(pdst.data_frames, pdst.columns(1, elements=st.none(), dtype=int)),
    e(pdst.data_frames, 1),
    e(pdst.data_frames, [1]),
    e(pdst.data_frames, pdst.columns(1, dtype='category')),
    e(pdst.data_frames,

Esempio n. 5

File: test_argument_validation.py Progetto: HypothesisWorks/hypothesis-python

# contribution.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
#
# END HEADER

from __future__ import absolute_import, division, print_function

import hypothesis.extra.pandas as pdst
import hypothesis.strategies as st
from tests.common.arguments import argument_validation_test, e

BAD_ARGS = [
    e(pdst.data_frames),
    e(pdst.data_frames, pdst.columns(1, dtype="not a dtype")),
    e(pdst.data_frames, pdst.columns(1, elements="not a strategy")),
    e(pdst.data_frames, pdst.columns([[]])),
    e(pdst.data_frames, [], index=[]),
    e(pdst.data_frames, [], rows=st.fixed_dictionaries({"A": st.just(1)})),
    e(pdst.data_frames, pdst.columns(1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, fill=1)),
    e(pdst.data_frames, pdst.columns(1, dtype=float, elements=1)),
    e(pdst.data_frames, pdst.columns(1, fill=1, dtype=float)),
    e(pdst.data_frames, pdst.columns(["A", "A"], dtype=float)),
    e(pdst.data_frames, pdst.columns(1, elements=st.none(), dtype=int)),
    e(pdst.data_frames, 1),
    e(pdst.data_frames, [1]),
    e(pdst.data_frames, pdst.columns(1, dtype="category")),
    e(

Esempio n. 6

import hypothesis.strategies as st
from tests.common.arguments import e, argument_validation_test

BAD_ARGS = []


def adjust(ex, **kwargs):
    f, a, b = ex
    b = dict(b)
    b.update(kwargs)
    BAD_ARGS.append((f, a, b))


for ex in [
        e(st.lists, st.integers()),
        e(st.sets, st.integers()),
        e(st.frozensets, st.integers()),
        e(st.dictionaries, st.integers(), st.integers()),
        e(st.text),
        e(st.binary)
]:
    adjust(ex, average_size=10, max_size=9),
    adjust(ex, average_size=10, min_size=11),

    adjust(ex, min_size=-1)
    adjust(ex, average_size=-1)
    adjust(ex, max_size=-1)
    adjust(ex, min_size='no')
    adjust(ex, average_size='no')
    adjust(ex, max_size='no')