# coding=utf-8
#
# This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis-python
#
# Most of this work is copyright (C) 2013-2016 David R. MacIver
# (david@drmaciver.com), but it contains contributions by others. See
# CONTRIBUTING.rst for a full list of people who may hold copyright, and
# consult the git log if you need to determine who owns an individual
# 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

import sys
from collections import namedtuple

try:
    import pytest
except ImportError:
    pytest = None

from hypothesis._settings import settings
from hypothesis.internal.debug import timeout
from hypothesis.strategies import integers, floats, just, one_of, \
    sampled_from, lists, booleans, dictionaries, tuples, \
    frozensets, complex_numbers, sets, text, binary, decimals, fractions, \
    none, randoms, builds, fixed_dictionaries, recursive


__all__ = ['small_verifier', 'timeout', 'standard_types', 'OrderedPair']


OrderedPair = namedtuple('OrderedPair', ('left', 'right'))


ordered_pair = integers().flatmap(
    lambda right: integers(min_value=0).map(
        lambda length: OrderedPair(right - length, right)))


def constant_list(strat):
    return strat.flatmap(
        lambda v: lists(just(v), average_size=10),
    )


ABC = namedtuple('ABC', ('a', 'b', 'c'))


def abc(x, y, z):
    return builds(ABC, x, y, z)


with settings(strict=False):
    standard_types = [
        lists(max_size=0), tuples(), sets(max_size=0), frozensets(max_size=0),
        fixed_dictionaries({}),
        abc(booleans(), booleans(), booleans()),
        abc(booleans(), booleans(), integers()),
        fixed_dictionaries({'a': integers(), 'b': booleans()}),
        dictionaries(booleans(), integers()),
        dictionaries(text(), booleans()),
        one_of(integers(), tuples(booleans())),
        sampled_from(range(10)),
        one_of(just('a'), just('b'), just('c')),
        sampled_from(('a', 'b', 'c')),
        integers(),
        integers(min_value=3),
        integers(min_value=(-2 ** 32), max_value=(2 ** 64)),
        floats(), floats(min_value=-2.0, max_value=3.0),
        floats(), floats(min_value=-2.0),
        floats(), floats(max_value=-0.0),
        floats(), floats(min_value=0.0),
        floats(min_value=3.14, max_value=3.14),
        text(), binary(),
        booleans(),
        tuples(booleans(), booleans()),
        frozensets(integers()),
        sets(frozensets(booleans())),
        complex_numbers(),
        fractions(),
        decimals(),
        lists(lists(booleans(), average_size=10), average_size=10),
        lists(lists(booleans(), average_size=100)),
        lists(floats(0.0, 0.0), average_size=1.0),
        ordered_pair, constant_list(integers()),
        integers().filter(lambda x: abs(x) > 100),
        floats(min_value=-sys.float_info.max, max_value=sys.float_info.max),
        none(), randoms(),
        booleans().flatmap(lambda x: booleans() if x else complex_numbers()),
        recursive(
            base=booleans(), extend=lambda x: lists(x, max_size=3),
            max_leaves=10,
        )
    ]


if pytest is not None:
    def parametrize(args, values):
        return pytest.mark.parametrize(
            args, values, ids=list(map(repr, values)))