# This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Copyright the Hypothesis Authors.
# Individual contributors are listed in AUTHORS.rst and the git log.
#
# 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/.

from weakref import WeakKeyDictionary

from hypothesis.control import note
from hypothesis.errors import InvalidState
from hypothesis.internal.reflection import (
    convert_positional_arguments,
    nicerepr,
    proxies,
    repr_call,
)
from hypothesis.strategies._internal.strategies import SearchStrategy


class FunctionStrategy(SearchStrategy):
    supports_find = False

    def __init__(self, like, returns, pure):
        super().__init__()
        self.like = like
        self.returns = returns
        self.pure = pure
        # Using wekrefs-to-generated-functions means that the cache can be
        # garbage-collected at the end of each example, reducing memory use.
        self._cache = WeakKeyDictionary()

    def calc_is_empty(self, recur):
        return recur(self.returns)

    def do_draw(self, data):
        @proxies(self.like)
        def inner(*args, **kwargs):
            if data.frozen:
                raise InvalidState(
                    f"This generated {nicerepr(self.like)} function can only "
                    "be called within the scope of the @given that created it."
                )
            if self.pure:
                args, kwargs = convert_positional_arguments(self.like, args, kwargs)
                key = (args, frozenset(kwargs.items()))
                cache = self._cache.setdefault(inner, {})
                if key not in cache:
                    cache[key] = data.draw(self.returns)
                    rep = repr_call(self.like, args, kwargs, reorder=False)
                    note(f"Called function: {rep} -> {cache[key]!r}")
                return cache[key]
            else:
                val = data.draw(self.returns)
                rep = repr_call(self.like, args, kwargs, reorder=False)
                note(f"Called function: {rep} -> {val!r}")
                return val

        return inner
