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authorrobot-piglet <robot-piglet@yandex-team.com>2024-04-20 09:18:55 +0300
committerrobot-piglet <robot-piglet@yandex-team.com>2024-04-20 09:39:03 +0300
commit19be936dfe8ff1852437f6a73bb7919cfb06b8be (patch)
treec98e3f559152be2d96b22c2741d19212cb0bf63f /contrib/python/typing-extensions/py3/typing_extensions.py
parentaed0d7a803f63c28bb7eb37540614fecd7676220 (diff)
downloadydb-19be936dfe8ff1852437f6a73bb7919cfb06b8be.tar.gz
Intermediate changes
Diffstat (limited to 'contrib/python/typing-extensions/py3/typing_extensions.py')
-rw-r--r--contrib/python/typing-extensions/py3/typing_extensions.py201
1 files changed, 153 insertions, 48 deletions
diff --git a/contrib/python/typing-extensions/py3/typing_extensions.py b/contrib/python/typing-extensions/py3/typing_extensions.py
index f3132ea4ae..9ccd519ce4 100644
--- a/contrib/python/typing-extensions/py3/typing_extensions.py
+++ b/contrib/python/typing-extensions/py3/typing_extensions.py
@@ -147,27 +147,6 @@ class _Sentinel:
_marker = _Sentinel()
-def _check_generic(cls, parameters, elen=_marker):
- """Check correct count for parameters of a generic cls (internal helper).
- This gives a nice error message in case of count mismatch.
- """
- if not elen:
- raise TypeError(f"{cls} is not a generic class")
- if elen is _marker:
- if not hasattr(cls, "__parameters__") or not cls.__parameters__:
- raise TypeError(f"{cls} is not a generic class")
- elen = len(cls.__parameters__)
- alen = len(parameters)
- if alen != elen:
- if hasattr(cls, "__parameters__"):
- parameters = [p for p in cls.__parameters__ if not _is_unpack(p)]
- num_tv_tuples = sum(isinstance(p, TypeVarTuple) for p in parameters)
- if (num_tv_tuples > 0) and (alen >= elen - num_tv_tuples):
- return
- raise TypeError(f"Too {'many' if alen > elen else 'few'} parameters for {cls};"
- f" actual {alen}, expected {elen}")
-
-
if sys.version_info >= (3, 10):
def _should_collect_from_parameters(t):
return isinstance(
@@ -181,27 +160,6 @@ else:
return isinstance(t, typing._GenericAlias) and not t._special
-def _collect_type_vars(types, typevar_types=None):
- """Collect all type variable contained in types in order of
- first appearance (lexicographic order). For example::
-
- _collect_type_vars((T, List[S, T])) == (T, S)
- """
- if typevar_types is None:
- typevar_types = typing.TypeVar
- tvars = []
- for t in types:
- if (
- isinstance(t, typevar_types) and
- t not in tvars and
- not _is_unpack(t)
- ):
- tvars.append(t)
- if _should_collect_from_parameters(t):
- tvars.extend([t for t in t.__parameters__ if t not in tvars])
- return tuple(tvars)
-
-
NoReturn = typing.NoReturn
# Some unconstrained type variables. These are used by the container types.
@@ -834,7 +792,11 @@ def _ensure_subclassable(mro_entries):
return inner
-if hasattr(typing, "ReadOnly"):
+# Update this to something like >=3.13.0b1 if and when
+# PEP 728 is implemented in CPython
+_PEP_728_IMPLEMENTED = False
+
+if _PEP_728_IMPLEMENTED:
# The standard library TypedDict in Python 3.8 does not store runtime information
# about which (if any) keys are optional. See https://bugs.python.org/issue38834
# The standard library TypedDict in Python 3.9.0/1 does not honour the "total"
@@ -845,7 +807,8 @@ if hasattr(typing, "ReadOnly"):
# Aaaand on 3.12 we add __orig_bases__ to TypedDict
# to enable better runtime introspection.
# On 3.13 we deprecate some odd ways of creating TypedDicts.
- # PEP 705 proposes adding the ReadOnly[] qualifier.
+ # Also on 3.13, PEP 705 adds the ReadOnly[] qualifier.
+ # PEP 728 (still pending) makes more changes.
TypedDict = typing.TypedDict
_TypedDictMeta = typing._TypedDictMeta
is_typeddict = typing.is_typeddict
@@ -1122,15 +1085,15 @@ else:
return val
-if hasattr(typing, "Required"): # 3.11+
+if hasattr(typing, "ReadOnly"): # 3.13+
get_type_hints = typing.get_type_hints
-else: # <=3.10
+else: # <=3.13
# replaces _strip_annotations()
def _strip_extras(t):
"""Strips Annotated, Required and NotRequired from a given type."""
if isinstance(t, _AnnotatedAlias):
return _strip_extras(t.__origin__)
- if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired):
+ if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired, ReadOnly):
return _strip_extras(t.__args__[0])
if isinstance(t, typing._GenericAlias):
stripped_args = tuple(_strip_extras(a) for a in t.__args__)
@@ -2689,9 +2652,151 @@ else:
# counting generic parameters, so that when we subscript a generic,
# the runtime doesn't try to substitute the Unpack with the subscripted type.
if not hasattr(typing, "TypeVarTuple"):
+ def _check_generic(cls, parameters, elen=_marker):
+ """Check correct count for parameters of a generic cls (internal helper).
+
+ This gives a nice error message in case of count mismatch.
+ """
+ if not elen:
+ raise TypeError(f"{cls} is not a generic class")
+ if elen is _marker:
+ if not hasattr(cls, "__parameters__") or not cls.__parameters__:
+ raise TypeError(f"{cls} is not a generic class")
+ elen = len(cls.__parameters__)
+ alen = len(parameters)
+ if alen != elen:
+ expect_val = elen
+ if hasattr(cls, "__parameters__"):
+ parameters = [p for p in cls.__parameters__ if not _is_unpack(p)]
+ num_tv_tuples = sum(isinstance(p, TypeVarTuple) for p in parameters)
+ if (num_tv_tuples > 0) and (alen >= elen - num_tv_tuples):
+ return
+
+ # deal with TypeVarLike defaults
+ # required TypeVarLikes cannot appear after a defaulted one.
+ if alen < elen:
+ # since we validate TypeVarLike default in _collect_type_vars
+ # or _collect_parameters we can safely check parameters[alen]
+ if getattr(parameters[alen], '__default__', None) is not None:
+ return
+
+ num_default_tv = sum(getattr(p, '__default__', None)
+ is not None for p in parameters)
+
+ elen -= num_default_tv
+
+ expect_val = f"at least {elen}"
+
+ things = "arguments" if sys.version_info >= (3, 10) else "parameters"
+ raise TypeError(f"Too {'many' if alen > elen else 'few'} {things}"
+ f" for {cls}; actual {alen}, expected {expect_val}")
+else:
+ # Python 3.11+
+
+ def _check_generic(cls, parameters, elen):
+ """Check correct count for parameters of a generic cls (internal helper).
+
+ This gives a nice error message in case of count mismatch.
+ """
+ if not elen:
+ raise TypeError(f"{cls} is not a generic class")
+ alen = len(parameters)
+ if alen != elen:
+ expect_val = elen
+ if hasattr(cls, "__parameters__"):
+ parameters = [p for p in cls.__parameters__ if not _is_unpack(p)]
+
+ # deal with TypeVarLike defaults
+ # required TypeVarLikes cannot appear after a defaulted one.
+ if alen < elen:
+ # since we validate TypeVarLike default in _collect_type_vars
+ # or _collect_parameters we can safely check parameters[alen]
+ if getattr(parameters[alen], '__default__', None) is not None:
+ return
+
+ num_default_tv = sum(getattr(p, '__default__', None)
+ is not None for p in parameters)
+
+ elen -= num_default_tv
+
+ expect_val = f"at least {elen}"
+
+ raise TypeError(f"Too {'many' if alen > elen else 'few'} arguments"
+ f" for {cls}; actual {alen}, expected {expect_val}")
+
+typing._check_generic = _check_generic
+
+# Python 3.11+ _collect_type_vars was renamed to _collect_parameters
+if hasattr(typing, '_collect_type_vars'):
+ def _collect_type_vars(types, typevar_types=None):
+ """Collect all type variable contained in types in order of
+ first appearance (lexicographic order). For example::
+
+ _collect_type_vars((T, List[S, T])) == (T, S)
+ """
+ if typevar_types is None:
+ typevar_types = typing.TypeVar
+ tvars = []
+ # required TypeVarLike cannot appear after TypeVarLike with default
+ default_encountered = False
+ for t in types:
+ if (
+ isinstance(t, typevar_types) and
+ t not in tvars and
+ not _is_unpack(t)
+ ):
+ if getattr(t, '__default__', None) is not None:
+ default_encountered = True
+ elif default_encountered:
+ raise TypeError(f'Type parameter {t!r} without a default'
+ ' follows type parameter with a default')
+
+ tvars.append(t)
+ if _should_collect_from_parameters(t):
+ tvars.extend([t for t in t.__parameters__ if t not in tvars])
+ return tuple(tvars)
+
typing._collect_type_vars = _collect_type_vars
- typing._check_generic = _check_generic
+else:
+ def _collect_parameters(args):
+ """Collect all type variables and parameter specifications in args
+ in order of first appearance (lexicographic order).
+
+ For example::
+
+ assert _collect_parameters((T, Callable[P, T])) == (T, P)
+ """
+ parameters = []
+ # required TypeVarLike cannot appear after TypeVarLike with default
+ default_encountered = False
+ for t in args:
+ if isinstance(t, type):
+ # We don't want __parameters__ descriptor of a bare Python class.
+ pass
+ elif isinstance(t, tuple):
+ # `t` might be a tuple, when `ParamSpec` is substituted with
+ # `[T, int]`, or `[int, *Ts]`, etc.
+ for x in t:
+ for collected in _collect_parameters([x]):
+ if collected not in parameters:
+ parameters.append(collected)
+ elif hasattr(t, '__typing_subst__'):
+ if t not in parameters:
+ if getattr(t, '__default__', None) is not None:
+ default_encountered = True
+ elif default_encountered:
+ raise TypeError(f'Type parameter {t!r} without a default'
+ ' follows type parameter with a default')
+
+ parameters.append(t)
+ else:
+ for x in getattr(t, '__parameters__', ()):
+ if x not in parameters:
+ parameters.append(x)
+
+ return tuple(parameters)
+ typing._collect_parameters = _collect_parameters
# Backport typing.NamedTuple as it exists in Python 3.13.
# In 3.11, the ability to define generic `NamedTuple`s was supported.