



import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
							import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase_								=     logging.get_logger(__name__)

lowercase_								=     {"""vocab_file""": """vocab.txt"""}

lowercase_								=     {
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

lowercase_								=     {
    """openbmb/cpm-ant-10b""": 1024,
}



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			lowercase__					  =				collections.OrderedDict()
			with open(SCREAMING_SNAKE_CASE_						,  "r"						,  encoding="utf-8"  ) as reader:
						lowercase__					  =				reader.readlines()
			for index, token in enumerate(SCREAMING_SNAKE_CASE_  ):
						lowercase__					  =				token.rstrip("\n"  )
						lowercase__					  =				index
			return vocab
class 				_snake_case			(					lowercase__):




				def __init__(						self					:						Dict,					__lowercase					:						List[Any],					__lowercase					:						Optional[int]="<unk>",					__lowercase					:						int=200						):
							lowercase__					  =				vocab
							lowercase__					  =				unk_token
							lowercase__					  =				max_input_chars_per_word




				def 							A__      (						self					:						Union[str, Any],					__lowercase					:						str						):
							lowercase__					  =				list(__lowercase						)
							if len(__lowercase						) > self.max_input_chars_per_word:
										return [self.unk_token]

							lowercase__					  =				0
							lowercase__					  =				[]
							while start < len(__lowercase						):
										lowercase__					  =				len(__lowercase						)
										lowercase__					  =				None
										while start < end:
													lowercase__					  =				"".join(chars[start:end]						)
													if substr in self.vocab:
																lowercase__					  =				substr
																break
													end -= 1
										if cur_substr is None:
													sub_tokens.append(self.unk_token						)
													start += 1
										else:
													sub_tokens.append(__lowercase						)
													lowercase__					  =				end

							return sub_tokens
class 				_snake_case			(					lowercase__):
				UpperCamelCase__				:					Optional[int]     		=VOCAB_FILES_NAMES
				UpperCamelCase__				:					Union[str, Any]     		=PRETRAINED_VOCAB_FILES_MAP
				UpperCamelCase__				:					Any     		=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				UpperCamelCase__				:					int     		=["""input_ids""", """attention_mask"""]
				UpperCamelCase__				:					List[str]     		=False




				def __init__(						self					:						Tuple,					__lowercase					:						List[Any],					__lowercase					:						Optional[Any]="<d>",					__lowercase					:						List[str]="</d>",					__lowercase					:						Dict="<s>",					__lowercase					:						Any="</s>",					__lowercase					:						Optional[Any]="<pad>",					__lowercase					:						str="<unk>",					__lowercase					:						Any="</n>",					__lowercase					:						List[str]="</_>",					__lowercase					:						Union[str, Any]="left",					**__lowercase					:						Dict,					):
							requires_backends(self,					["jieba"]						)
							super().__init__(
							    bod_token=__lowercase,					eod_token=__lowercase,					bos_token=__lowercase,					eos_token=__lowercase,					pad_token=__lowercase,					unk_token=__lowercase,					line_token=__lowercase,					space_token=__lowercase,					padding_side=__lowercase,					**__lowercase,					)
							lowercase__					  =				bod_token
							lowercase__					  =				eod_token
							lowercase__					  =				load_vocab(__lowercase						)
							lowercase__					  =				self.encoder[space_token]
							lowercase__					  =				self.encoder[line_token]

							del self.encoder[space_token]
							del self.encoder[line_token]

							lowercase__					  =				collections.OrderedDict(sorted(self.encoder.items(),					key=lambda __lowercase						: x[1]						)						)
							lowercase__					  =				{v: k for k, v in self.encoder.items()}

							lowercase__					  =				WordpieceTokenizer(vocab=self.encoder,					unk_token=self.unk_token						)




				@property
				def 							A__      (						self					:						List[Any]						):
							return self.encoder[self.bod_token]




				@property
				def 							A__      (						self					:						Optional[Any]						):
							return self.encoder[self.eod_token]




				@property
				def 							A__      (						self					:						int						):
							return self.encoder["\n"]




				@property
				def 							A__      (						self					:						int						):
							return len(self.encoder						)




				def 							A__      (						self					:						Union[str, Any]						):
							return dict(self.encoder,					**self.added_tokens_encoder						)




				def 							A__      (						self					:						Any,					__lowercase					:						Dict						):
							lowercase__					  =				[]
							for x in jieba.cut(__lowercase,					cut_all=__lowercase						):
										output_tokens.extend(self.wordpiece_tokenizer.tokenize(__lowercase						)						)
							return output_tokens




				def 							A__      (						self					:						Optional[int],					__lowercase					:						List[Any],					**__lowercase					:						List[Any]						):
							lowercase__					  =				[i for i in token_ids if i >= 0]
							lowercase__					  =				[
							    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
							]
							return super()._decode(__lowercase,					**__lowercase						)




				def 							A__      (						self					:						Union[str, Any],					__lowercase					:						List[Any]						):
							return token in self.encoder




				def 							A__      (						self					:						int,					__lowercase					:						List[str]						):
							return "".join(__lowercase						)




				def 							A__      (						self					:						Union[str, Any],					__lowercase					:						str						):
							return self.encoder.get(__lowercase,					self.encoder.get(self.unk_token						)						)




				def 							A__      (						self					:						Union[str, Any],					__lowercase					:						Any						):
							return self.decoder.get(__lowercase,					self.unk_token						)




				def 							A__      (						self					:						Union[str, Any],					__lowercase					:						str,					__lowercase					:						Optional[str] = None						):
							if os.path.isdir(__lowercase						):
										lowercase__					  =				os.path.join(
										    __lowercase,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
							else:
										lowercase__					  =				(filename_prefix + "-" if filename_prefix else "") + save_directory
							lowercase__					  =				0
							if " " in self.encoder:
										lowercase__					  =				self.encoder[" "]
										del self.encoder[" "]
							if "\n" in self.encoder:
										lowercase__					  =				self.encoder["\n"]
										del self.encoder["\n"]
							lowercase__					  =				collections.OrderedDict(sorted(self.encoder.items(),					key=lambda __lowercase						: x[1]						)						)
							with open(__lowercase,					"w",					encoding="utf-8"						) as writer:
										for token, token_index in self.encoder.items():
													if index != token_index:
																logger.warning(
																    F'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
																    " Please check that the vocabulary is not corrupted!"						)
																lowercase__					  =				token_index
													writer.write(token + "\n"						)
													index += 1
							return (vocab_file,)




				def 							A__      (						self					:						Tuple,					__lowercase					:						List[int],					__lowercase					:						List[int] = None						):
							if token_ids_a is None:
										return [self.bos_token_id] + token_ids_a
							return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a




				def 							A__      (						self					:						List[str],					__lowercase					:						List[int],					__lowercase					:						Optional[List[int]] = None,					__lowercase					:						bool = 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						)

							if token_ids_a is not None:
										return [1] + ([0] * len(__lowercase						)) + [1] + ([0] * len(__lowercase						))
							return [1] + ([0] * len(__lowercase						))









import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class 				_snake_case			(					lowercase__    ,	unittest.TestCase):
				UpperCamelCase__				:					Dict     		=TransfoXLTokenizer
				UpperCamelCase__				:					List[Any]     		=False
				UpperCamelCase__				:					List[Any]     		=False




				def 							A__      (						self					:						Union[str, Any]						):
							super().setUp()

							lowercase__					  =				[
							    "<unk>",
							    "[CLS]",
							    "[SEP]",
							    "want",
							    "unwanted",
							    "wa",
							    "un",
							    "running",
							    ",",
							    "low",
							    "l",
							]
							lowercase__					  =				os.path.join(self.tmpdirname,					VOCAB_FILES_NAMES["vocab_file"]						)
							with open(self.vocab_file,					"w",					encoding="utf-8"						) as vocab_writer:
										vocab_writer.write("".join([x + "\n" for x in vocab_tokens]						)						)




				def 							A__      (						self					:						Union[str, Any],					**__lowercase					:						Any						):
							lowercase__					  =				True
							return TransfoXLTokenizer.from_pretrained(self.tmpdirname,					**__lowercase						)




				def 							A__      (						self					:						Tuple,					__lowercase					:						Optional[int]						):
							lowercase__					  =				"<unk> UNwanted , running"
							lowercase__					  =				"<unk> unwanted, running"
							return input_text, output_text




				def 							A__      (						self					:						str						):
							lowercase__					  =				TransfoXLTokenizer(vocab_file=self.vocab_file,					lower_case=__lowercase						)

							lowercase__					  =				tokenizer.tokenize("<unk> UNwanted , running"						)
							self.assertListEqual(__lowercase,					["<unk>", "unwanted", ",", "running"]						)

							self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase						),					[0, 4, 8, 7]						)




				def 							A__      (						self					:						Tuple						):
							lowercase__					  =				TransfoXLTokenizer(lower_case=__lowercase						)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "						),					["hello", "!", "how", "are", "you", "?"]						)




				def 							A__      (						self					:						Tuple						):
							lowercase__					  =				TransfoXLTokenizer(lower_case=__lowercase						)

							self.assertListEqual(
							    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "						),					["HeLLo", "!", "how", "Are", "yoU", "?"]						)




				def 							A__      (						self					:						str						):
							lowercase__					  =				TransfoXLTokenizer(lower_case=__lowercase						)
							lowercase__					  =				"Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"
							lowercase__					  =				[
							    "Hello",
							    "(",
							    "bracket",
							    ")",
							    "and",
							    "side",
							    "@-@",
							    "scrolled",
							    "[",
							    "and",
							    "]",
							    "Henry",
							    "'s",
							    "$",
							    "5",
							    "@,@",
							    "000",
							    "with",
							    "3",
							    "@.@",
							    "34",
							    "m",
							    ".",
							    "What",
							    "'s",
							    "up",
							    "!",
							    "?",
							]

							self.assertListEqual(tokenizer.tokenize(__lowercase						),					__lowercase						)

							self.assertEqual(tokenizer.convert_tokens_to_string(__lowercase						),					__lowercase						)




				def 							A__      (						self					:						List[str]						):
							lowercase__					  =				self.get_tokenizer()
							lowercase__					  =				len(__lowercase						)

							tokenizer.add_tokens(["new1", "new2"]						)
							tokenizer.move_added_token("new1",					1						)

							# Check that moved token is not copied (duplicate)
							self.assertEqual(len(__lowercase						),					original_len + 2						)
							# Check that token is moved to specified id
							self.assertEqual(tokenizer.encode("new1"						),					[1]						)
							self.assertEqual(tokenizer.decode([1]						),					"new1"						)




