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__init__.py
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__init__.pyi
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__pycache__
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_cmp.py
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_cmp.pyi
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_compat.py
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_config.py
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_funcs.py
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_make.py
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_next_gen.py
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_typing_compat.pyi
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_version_info.py
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_version_info.pyi
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converters.py
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converters.pyi
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exceptions.py
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exceptions.pyi
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filters.py
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filters.pyi
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py.typed
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setters.py
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setters.pyi
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validators.py
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validators.pyi
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Editing: _compat.py
# SPDX-License-Identifier: MIT import inspect import platform import sys import threading import types import warnings from collections.abc import Mapping, Sequence # noqa from typing import _GenericAlias PYPY = platform.python_implementation() == "PyPy" PY_3_9_PLUS = sys.version_info[:2] >= (3, 9) PY310 = sys.version_info[:2] >= (3, 10) PY_3_12_PLUS = sys.version_info[:2] >= (3, 12) def just_warn(*args, **kw): warnings.warn( "Running interpreter doesn't sufficiently support code object " "introspection. Some features like bare super() or accessing " "__class__ will not work with slotted classes.", RuntimeWarning, stacklevel=2, ) class _AnnotationExtractor: """ Extract type annotations from a callable, returning None whenever there is none. """ __slots__ = ["sig"] def __init__(self, callable): try: self.sig = inspect.signature(callable) except (ValueError, TypeError): # inspect failed self.sig = None def get_first_param_type(self): """ Return the type annotation of the first argument if it's not empty. """ if not self.sig: return None params = list(self.sig.parameters.values()) if params and params[0].annotation is not inspect.Parameter.empty: return params[0].annotation return None def get_return_type(self): """ Return the return type if it's not empty. """ if ( self.sig and self.sig.return_annotation is not inspect.Signature.empty ): return self.sig.return_annotation return None def make_set_closure_cell(): """Return a function of two arguments (cell, value) which sets the value stored in the closure cell `cell` to `value`. """ # pypy makes this easy. (It also supports the logic below, but # why not do the easy/fast thing?) if PYPY: def set_closure_cell(cell, value): cell.__setstate__((value,)) return set_closure_cell # Otherwise gotta do it the hard way. try: if sys.version_info >= (3, 8): def set_closure_cell(cell, value): cell.cell_contents = value else: # Create a function that will set its first cellvar to `value`. def set_first_cellvar_to(value): x = value return # This function will be eliminated as dead code, but # not before its reference to `x` forces `x` to be # represented as a closure cell rather than a local. def force_x_to_be_a_cell(): # pragma: no cover return x # Extract the code object and make sure our assumptions about # the closure behavior are correct. co = set_first_cellvar_to.__code__ if co.co_cellvars != ("x",) or co.co_freevars != (): raise AssertionError # pragma: no cover # Convert this code object to a code object that sets the # function's first _freevar_ (not cellvar) to the argument. args = [co.co_argcount] args.append(co.co_kwonlyargcount) args.extend( [ co.co_nlocals, co.co_stacksize, co.co_flags, co.co_code, co.co_consts, co.co_names, co.co_varnames, co.co_filename, co.co_name, co.co_firstlineno, co.co_lnotab, # These two arguments are reversed: co.co_cellvars, co.co_freevars, ] ) set_first_freevar_code = types.CodeType(*args) def set_closure_cell(cell, value): # Create a function using the set_first_freevar_code, # whose first closure cell is `cell`. Calling it will # change the value of that cell. setter = types.FunctionType( set_first_freevar_code, {}, "setter", (), (cell,) ) # And call it to set the cell. setter(value) # Make sure it works on this interpreter: def make_func_with_cell(): x = None def func(): return x # pragma: no cover return func cell = make_func_with_cell().__closure__[0] set_closure_cell(cell, 100) if cell.cell_contents != 100: raise AssertionError # pragma: no cover except Exception: return just_warn else: return set_closure_cell set_closure_cell = make_set_closure_cell() # Thread-local global to track attrs instances which are already being repr'd. # This is needed because there is no other (thread-safe) way to pass info # about the instances that are already being repr'd through the call stack # in order to ensure we don't perform infinite recursion. # # For instance, if an instance contains a dict which contains that instance, # we need to know that we're already repr'ing the outside instance from within # the dict's repr() call. # # This lives here rather than in _make.py so that the functions in _make.py # don't have a direct reference to the thread-local in their globals dict. # If they have such a reference, it breaks cloudpickle. repr_context = threading.local() def get_generic_base(cl): """If this is a generic class (A[str]), return the generic base for it.""" if cl.__class__ is _GenericAlias: return cl.__origin__ return None
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