247 lines
7.6 KiB
Python
247 lines
7.6 KiB
Python
"""
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Common helper functions for tests.
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"""
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from __future__ import absolute_import, division, print_function
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import keyword
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import string
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from collections import OrderedDict
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from hypothesis import strategies as st
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import attr
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from attr import Attribute
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from attr._make import NOTHING, make_class
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def simple_class(cmp=False, repr=False, hash=False, str=False, slots=False,
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frozen=False):
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"""
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Return a new simple class.
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"""
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return make_class(
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"C", ["a", "b"],
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cmp=cmp, repr=repr, hash=hash, init=True, slots=slots, str=str,
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frozen=frozen,
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)
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def simple_attr(name, default=NOTHING, validator=None, repr=True,
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cmp=True, hash=None, init=True, converter=None):
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"""
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Return an attribute with a name and no other bells and whistles.
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"""
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return Attribute(
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name=name, default=default, validator=validator, repr=repr,
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cmp=cmp, hash=hash, init=init, converter=converter,
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)
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class TestSimpleClass(object):
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"""
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Tests for the testing helper function `make_class`.
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"""
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def test_returns_class(self):
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"""
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Returns a class object.
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"""
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assert type is simple_class().__class__
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def returns_distinct_classes(self):
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"""
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Each call returns a completely new class.
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"""
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assert simple_class() is not simple_class()
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def gen_attr_names():
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"""
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Generate names for attributes, 'a'...'z', then 'aa'...'zz'.
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~702 different attribute names should be enough in practice.
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Some short strings (such as 'as') are keywords, so we skip them.
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"""
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lc = string.ascii_lowercase
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for c in lc:
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yield c
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for outer in lc:
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for inner in lc:
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res = outer + inner
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if keyword.iskeyword(res):
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continue
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yield outer + inner
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def maybe_underscore_prefix(source):
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"""
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A generator to sometimes prepend an underscore.
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"""
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to_underscore = False
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for val in source:
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yield val if not to_underscore else '_' + val
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to_underscore = not to_underscore
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def _create_hyp_class(attrs):
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"""
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A helper function for Hypothesis to generate attrs classes.
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"""
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return make_class(
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"HypClass", dict(zip(gen_attr_names(), attrs))
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)
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def _create_hyp_nested_strategy(simple_class_strategy):
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"""
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Create a recursive attrs class.
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Given a strategy for building (simpler) classes, create and return
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a strategy for building classes that have as an attribute: either just
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the simpler class, a list of simpler classes, a tuple of simpler classes,
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an ordered dict or a dict mapping the string "cls" to a simpler class.
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"""
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# Use a tuple strategy to combine simple attributes and an attr class.
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def just_class(tup):
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combined_attrs = list(tup[0])
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combined_attrs.append(attr.ib(default=attr.Factory(tup[1])))
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return _create_hyp_class(combined_attrs)
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def list_of_class(tup):
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default = attr.Factory(lambda: [tup[1]()])
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combined_attrs = list(tup[0])
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combined_attrs.append(attr.ib(default=default))
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return _create_hyp_class(combined_attrs)
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def tuple_of_class(tup):
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default = attr.Factory(lambda: (tup[1](),))
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combined_attrs = list(tup[0])
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combined_attrs.append(attr.ib(default=default))
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return _create_hyp_class(combined_attrs)
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def dict_of_class(tup):
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default = attr.Factory(lambda: {"cls": tup[1]()})
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combined_attrs = list(tup[0])
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combined_attrs.append(attr.ib(default=default))
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return _create_hyp_class(combined_attrs)
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def ordereddict_of_class(tup):
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default = attr.Factory(lambda: OrderedDict([("cls", tup[1]())]))
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combined_attrs = list(tup[0])
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combined_attrs.append(attr.ib(default=default))
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return _create_hyp_class(combined_attrs)
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# A strategy producing tuples of the form ([list of attributes], <given
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# class strategy>).
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attrs_and_classes = st.tuples(list_of_attrs, simple_class_strategy)
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return st.one_of(attrs_and_classes.map(just_class),
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attrs_and_classes.map(list_of_class),
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attrs_and_classes.map(tuple_of_class),
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attrs_and_classes.map(dict_of_class),
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attrs_and_classes.map(ordereddict_of_class))
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bare_attrs = st.builds(attr.ib, default=st.none())
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int_attrs = st.integers().map(lambda i: attr.ib(default=i))
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str_attrs = st.text().map(lambda s: attr.ib(default=s))
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float_attrs = st.floats().map(lambda f: attr.ib(default=f))
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dict_attrs = (st.dictionaries(keys=st.text(), values=st.integers())
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.map(lambda d: attr.ib(default=d)))
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simple_attrs_without_metadata = (bare_attrs | int_attrs | str_attrs |
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float_attrs | dict_attrs)
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@st.composite
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def simple_attrs_with_metadata(draw):
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"""
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Create a simple attribute with arbitrary metadata.
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"""
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c_attr = draw(simple_attrs)
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keys = st.booleans() | st.binary() | st.integers() | st.text()
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vals = st.booleans() | st.binary() | st.integers() | st.text()
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metadata = draw(st.dictionaries(
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keys=keys, values=vals, min_size=1, max_size=5))
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return attr.ib(
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default=c_attr._default,
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validator=c_attr._validator,
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repr=c_attr.repr,
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cmp=c_attr.cmp,
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hash=c_attr.hash,
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init=c_attr.init,
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metadata=metadata,
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type=None,
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converter=c_attr.converter,
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)
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simple_attrs = simple_attrs_without_metadata | simple_attrs_with_metadata()
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# Python functions support up to 255 arguments.
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list_of_attrs = st.lists(simple_attrs, average_size=3, max_size=9)
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@st.composite
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def simple_classes(draw, slots=None, frozen=None, private_attrs=None):
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"""
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A strategy that generates classes with default non-attr attributes.
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For example, this strategy might generate a class such as:
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@attr.s(slots=True, frozen=True)
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class HypClass:
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a = attr.ib(default=1)
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_b = attr.ib(default=None)
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c = attr.ib(default='text')
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_d = attr.ib(default=1.0)
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c = attr.ib(default={'t': 1})
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By default, all combinations of slots and frozen classes will be generated.
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If `slots=True` is passed in, only slots classes will be generated, and
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if `slots=False` is passed in, no slot classes will be generated. The same
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applies to `frozen`.
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By default, some attributes will be private (i.e. prefixed with an
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underscore). If `private_attrs=True` is passed in, all attributes will be
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private, and if `private_attrs=False`, no attributes will be private.
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"""
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attrs = draw(list_of_attrs)
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frozen_flag = draw(st.booleans()) if frozen is None else frozen
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slots_flag = draw(st.booleans()) if slots is None else slots
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if private_attrs is None:
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attr_names = maybe_underscore_prefix(gen_attr_names())
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elif private_attrs is True:
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attr_names = ('_' + n for n in gen_attr_names())
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elif private_attrs is False:
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attr_names = gen_attr_names()
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cls_dict = dict(zip(attr_names, attrs))
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post_init_flag = draw(st.booleans())
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if post_init_flag:
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def post_init(self):
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pass
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cls_dict["__attrs_post_init__"] = post_init
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return make_class(
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"HypClass",
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cls_dict,
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slots=slots_flag,
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frozen=frozen_flag,
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)
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# st.recursive works by taking a base strategy (in this case, simple_classes)
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# and a special function. This function receives a strategy, and returns
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# another strategy (building on top of the base strategy).
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nested_classes = st.recursive(
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simple_classes(),
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_create_hyp_nested_strategy,
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max_leaves=10
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)
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