chore: import upstream snapshot with attribution
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#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import copy
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from collections import OrderedDict
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from polygraphy import util
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from polygraphy.logger import G_LOGGER
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#
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# NOTE: These classes intentionally don't inherit from the built-in collections (dict, list, etc.)
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# because doing so prevents us from providing custom JSON serialization methods, since the default
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# encoder implementation can handle most of the built-in collections and therefore doesn't dispatch
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# to custom implementations.
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#
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def TypedDict(key_type_func, value_type_func):
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"""
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Returns a class (not an instance) that will provide a dictionary-like
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interface with runtime type checks.
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Note: The types are provided lazily via a callable to avoid unnecessary dependencies
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on types from external packages at import-time.
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Args:
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key_type_func (Callable() -> type):
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A callable that returns the expected key type.
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value_type_func (Callable() -> type):
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A callable that returns the expected value type.
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"""
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class Interface:
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def __init__(self, dct=None):
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self.dct = OrderedDict(util.default(dct, {}))
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self.key_type = key_type_func()
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self.value_type = value_type_func()
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def _check_types(self, key, val):
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if not isinstance(key, self.key_type):
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G_LOGGER.critical(
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f"Unsupported key type in {self}. Key: {repr(key)} is type `{type(key).__name__}` but {type(self).__name__} expects type `{self.key_type.__name__}`"
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)
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if not isinstance(val, self.value_type):
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G_LOGGER.critical(
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f"Unsupported value type in {self}. Value: {repr(val)} for key: {repr(key)} is type `{type(val).__name__}` but {type(self).__name__} expects type `{self.value_type.__name__}`"
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)
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def keys(self):
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return self.dct.keys()
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def values(self):
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return self.dct.values()
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def items(self):
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return self.dct.items()
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def update(self, other):
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for key, val in other.items():
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self._check_types(key, val)
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return self.dct.update(other)
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def __contains__(self, key):
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return key in self.dct
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def __getitem__(self, key):
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return self.dct[key]
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def __setitem__(self, key, val):
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self._check_types(key, val)
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self.dct[key] = val
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def __str__(self):
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return str(self.dct)
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def __repr__(self):
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return repr(self.dct)
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def __len__(self):
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return len(self.dct)
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def __eq__(self, other):
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return self.dct == other.dct
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def __iter__(self):
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return self.dct.__iter__()
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def __copy__(self):
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new_dict = type(self)()
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new_dict.__dict__.update(self.__dict__)
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new_dict.dct = copy.copy(self.dct)
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return new_dict
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def __deepcopy__(self, memo):
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new_dict = type(self)()
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new_dict.__dict__.update(self.__dict__)
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new_dict.dct = copy.deepcopy(self.dct)
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return new_dict
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return Interface
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def TypedList(elem_type_func):
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"""
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Returns a class (not an instance) that will provide a list-like
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interface with runtime type checks.
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Note: The types are provided lazily via a callable to avoid unnecessary dependencies
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on types from external packages at import-time.
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Args:
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elem_type_func (Callable() -> type):
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A callable that returns the expected list-element type.
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"""
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class Interface:
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def __init__(self, lst=None):
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self.lst = util.default(lst, [])
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self.elem_type = elem_type_func()
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def _check_type(self, elem):
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if not isinstance(elem, self.elem_type):
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G_LOGGER.critical(
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f"Unsupported element type type in {type(self).__name__}. Element: {repr(elem)} is type: {type(elem).__name__} but type: {self.elem_type.__name__} was expected"
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)
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def __contains__(self, key):
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return key in self.lst
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def __getitem__(self, index):
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return self.lst[index]
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def __setitem__(self, index, elem):
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self._check_type(elem)
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self.lst[index] = elem
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def __str__(self):
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return str(self.lst)
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def __repr__(self):
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return repr(self.lst)
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def append(self, elem):
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self._check_type(elem)
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return self.lst.append(elem)
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def extend(self, elems):
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for elem in elems:
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self._check_type(elem)
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return self.lst.extend(elems)
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def __iadd__(self, elems):
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for elem in elems:
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self._check_type(elem)
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self.lst += elems
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def __len__(self):
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return len(self.lst)
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def __eq__(self, other):
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return self.lst == other.lst
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def __iter__(self):
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return self.lst.__iter__()
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def __copy__(self):
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new_list = type(self)()
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new_list.__dict__.update(self.__dict__)
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new_list.lst = copy.copy(self.lst)
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return new_list
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def __deepcopy__(self, memo):
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new_list = type(self)()
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new_list.__dict__.update(self.__dict__)
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new_list.lst = copy.deepcopy(self.lst)
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return new_list
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return Interface
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