from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__SCREAMING_SNAKE_CASE						:   str         =			logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE						:   List[Any]         =			{
    'nielsr/canine-s': 2_0_4_8,
}

# Unicode defines 1,114,112 total “codepoints”
__SCREAMING_SNAKE_CASE						:   int         =			1_1_1_4_1_1_2

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
__SCREAMING_SNAKE_CASE						:   Optional[Any]         =			0

__SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			0Xe_0_0_0
__SCREAMING_SNAKE_CASE						:   List[Any]         =			0Xe_0_0_1
__SCREAMING_SNAKE_CASE						:   Dict         =			0Xe_0_0_2
__SCREAMING_SNAKE_CASE						:   List[str]         =			0Xe_0_0_3
__SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			0Xe_0_0_4

# Maps special codepoints to human-readable names.
__SCREAMING_SNAKE_CASE						:   Dict[int, str]         =			{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
__SCREAMING_SNAKE_CASE						:   Dict[str, int]         =			{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}



class        lowercase_   (					__snake_case		):
							_lowerCamelCase						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



							def __init__(						self				,    lowercase_=chr(lowercase_    )				,    lowercase_=chr(lowercase_    )				,    lowercase_=chr(lowercase_    )				,    lowercase_=chr(lowercase_    )				,    lowercase_=chr(lowercase_    )				,    lowercase_=chr(lowercase_    )				,    lowercase_=False				,    lowercase_=2_048				,    **lowercase_				,    ):
													_snake_case						:					str    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else bos_token
													_snake_case						:					Optional[Any]    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else eos_token
													_snake_case						:					Dict    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else sep_token
													_snake_case						:					Tuple    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else cls_token
													_snake_case						:					str    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else pad_token

													# Mask token behave like a normal word, i.e. include the space before it
													_snake_case						:					str    =   AddedToken(lowercase_				,    lstrip=lowercase_				,    rstrip=lowercase_    ) if isinstance(lowercase_				,    lowercase_    ) else mask_token

													super().__init__(
													    bos_token=lowercase_				,    eos_token=lowercase_				,    sep_token=lowercase_				,    cls_token=lowercase_				,    pad_token=lowercase_				,    mask_token=lowercase_				,    add_prefix_space=lowercase_				,    model_max_length=lowercase_				,    **lowercase_				,    )

													# Creates a mapping for looking up the IDs of special symbols.
													_snake_case						:					Dict[str, int]    =   {}
													for codepoint, name in SPECIAL_CODEPOINTS.items():
																			_snake_case						:					Union[str, Any]    =   codepoint

													# Creates a mapping for looking up the string forms of special symbol IDs.
													_snake_case						:					Dict[int, str]    =   {
													    codepoint: name for name, codepoint in self._special_codepoints.items()
													}

													_snake_case						:					str    =   UNICODE_VOCAB_SIZE
													_snake_case						:					List[Any]    =   len(self._special_codepoints    )



							@property
							def 	UpperCamelCase	(						self    ):
													return self._unicode_vocab_size



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													return list(lowercase_    )



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													try:
																			return ord(lowercase_    )
													except TypeError:
																			raise ValueError(f"""invalid token: '{token}'"""    )



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													try:
																			if index in SPECIAL_CODEPOINTS:
																									return SPECIAL_CODEPOINTS[index]
																			return chr(lowercase_    )
													except TypeError:
																			raise ValueError(f"""invalid id: {index}"""    )



							def 	UpperCamelCase	(						self				,    lowercase_    ):
													return "".join(lowercase_    )



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None    ):
													_snake_case						:					int    =   [self.sep_token_id]
													_snake_case						:					Optional[Any]    =   [self.cls_token_id]

													_snake_case						:					Union[str, Any]    =   cls + token_ids_a + sep
													if token_ids_a is not None:
																			result += token_ids_a + sep
													return result



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None				,    lowercase_ = False    ):
													if already_has_special_tokens:
																			return super().get_special_tokens_mask(
																			    token_ids_a=lowercase_				,    token_ids_a=lowercase_				,    already_has_special_tokens=lowercase_    )

													_snake_case						:					Optional[Any]    =   [1] + ([0] * len(lowercase_    )) + [1]
													if token_ids_a is not None:
																			result += ([0] * len(lowercase_    )) + [1]
													return result



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None    ):
													_snake_case						:					int    =   [self.sep_token_id]
													_snake_case						:					Tuple    =   [self.cls_token_id]

													_snake_case						:					str    =   len(cls + token_ids_a + sep    ) * [0]
													if token_ids_a is not None:
																			result += len(token_ids_a + sep    ) * [1]
													return result



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_ = None    ):
													return ()
from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass



@dataclass
class        lowercase_   :
							_lowerCamelCase						=		42
							_lowerCamelCase						=		42




class        lowercase_   :



							def __init__(						self				,    lowercase_    ):
													_snake_case						:					list[list[Edge]]    =   [[] for _ in range(lowercase_    )]
													_snake_case						:					Union[str, Any]    =   size



							def __getitem__(						self				,    lowercase_    ):
													return iter(self._graph[vertex]    )



							@property
							def 	UpperCamelCase	(						self    ):
													return self._size



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_				,    lowercase_    ):
													if weight not in (0, 1):
																			raise ValueError("Edge weight must be either 0 or 1."    )

													if to_vertex < 0 or to_vertex >= self.size:
																			raise ValueError("Vertex indexes must be in [0; size)."    )

													self._graph[from_vertex].append(Edge(lowercase_				,    lowercase_    )    )



							def 	UpperCamelCase	(						self				,    lowercase_				,    lowercase_    ):
													_snake_case						:					Optional[int]    =   deque([start_vertex]    )
													_snake_case						:					list[int | None]    =   [None] * self.size
													_snake_case						:					Tuple    =   0

													while queue:
																			_snake_case						:					List[Any]    =   queue.popleft()
																			_snake_case						:					Tuple    =   distances[current_vertex]
																			if current_distance is None:
																									continue

																			for edge in self[current_vertex]:
																									_snake_case						:					Dict    =   current_distance + edge.weight
																									_snake_case						:					str    =   distances[edge.destination_vertex]
																									if (
																									    isinstance(lowercase_				,    lowercase_    )
																									    and new_distance >= dest_vertex_distance
																									):
																															continue
																									_snake_case						:					List[Any]    =   new_distance
																									if edge.weight == 0:
																															queue.appendleft(edge.destination_vertex    )
																									else:
																															queue.append(edge.destination_vertex    )

													if distances[finish_vertex] is None:
																			raise ValueError("No path from start_vertex to finish_vertex."    )

													return distances[finish_vertex]


if __name__ == "__main__":
				import doctest

				doctest.testmod()