




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_camembert import CamembertTokenizer
else:
		__UpperCamelCase					:       Dict    					=      None


__UpperCamelCase					:       int    					=      logging.get_logger(__name__)

__UpperCamelCase					:       Union[str, Any]    					=      {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

__UpperCamelCase					:       int    					=      {
    "vocab_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model",
    },
    "tokenizer_file": {
        "camembert-base": "https://huggingface.co/camembert-base/resolve/main/tokenizer.json",
    },
}

__UpperCamelCase					:       Tuple    					=      {
    "camembert-base": 512,
}

__UpperCamelCase					:       Dict    					=      "▁"

class 		__lowerCAmelCase	(	__magic_name__ ):
							UpperCamelCase__					     =  VOCAB_FILES_NAMES
							UpperCamelCase__					     =  PRETRAINED_VOCAB_FILES_MAP
							UpperCamelCase__					     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							UpperCamelCase__					     =  ['''input_ids''', '''attention_mask''']
							UpperCamelCase__					     =  CamembertTokenizer
							def __init__(						self						:Dict		,      __magic_name__						:int=None		,      __magic_name__						:Optional[int]=None		,      __magic_name__						:List[str]="<s>"		,      __magic_name__						:Tuple="</s>"		,      __magic_name__						:str="</s>"		,      __magic_name__						:Optional[int]="<s>"		,      __magic_name__						:Dict="<unk>"		,      __magic_name__						:Tuple="<pad>"		,      __magic_name__						:Dict="<mask>"		,      __magic_name__						:Dict=["<s>NOTUSED", "</s>NOTUSED"]		,      **__magic_name__						:str		,      ):







								'''simple docstring'''







								a										=							AddedToken(__magic_name__		,      lstrip=__magic_name__		,      rstrip=__magic_name__				) if isinstance(__magic_name__		,      __magic_name__				) else mask_token

								super().__init__(
								    __magic_name__		,      tokenizer_file=__magic_name__		,      bos_token=__magic_name__		,      eos_token=__magic_name__		,      sep_token=__magic_name__		,      cls_token=__magic_name__		,      unk_token=__magic_name__		,      pad_token=__magic_name__		,      mask_token=__magic_name__		,      additional_special_tokens=__magic_name__		,      **__magic_name__		,      )

								a										=							vocab_file
								a										=							False if not self.vocab_file else True
							def       lowerCamelCase__							(						self						:List[str]		,      __magic_name__						:List[int]		,      __magic_name__						:Optional[List[int]] = None				):







								'''simple docstring'''







								if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								a										=							[self.cls_token_id]
								a										=							[self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep
							def       lowerCamelCase__							(						self						:Dict		,      __magic_name__						:List[int]		,      __magic_name__						:Optional[List[int]] = None				):







								'''simple docstring'''







								a										=							[self.sep_token_id]
								a										=							[self.cls_token_id]

								if token_ids_a is None:
									return len(cls + token_ids_a + sep				) * [0]
								return len(cls + token_ids_a + sep + sep + token_ids_a + sep				) * [0]





							def       lowerCamelCase__							(						self						:Tuple		,      __magic_name__						:str		,      __magic_name__						:Optional[str] = None				):







								'''simple docstring'''







								if not self.can_save_slow_tokenizer:
									raise ValueError(
									    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
									    """tokenizer."""				)

								if not os.path.isdir(__magic_name__				):
									logger.error(F'Vocabulary path ({save_directory}) should be a directory'				)
									return
								a										=							os.path.join(
								    __magic_name__		,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

								if os.path.abspath(self.vocab_file				) != os.path.abspath(__magic_name__				):
									copyfile(self.vocab_file		,      __magic_name__				)

								return (out_vocab_file,)







import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 		__lowerCAmelCase	(	__magic_name__      ,       unittest.TestCase ):
							UpperCamelCase__					     =  CLIPTokenizer
							UpperCamelCase__					     =  CLIPTokenizerFast
							UpperCamelCase__					     =  True
							UpperCamelCase__					     =  {}
							UpperCamelCase__					     =  False
							def       lowerCamelCase__							(						self						:str				):







								'''simple docstring'''







								super().setUp()

								# fmt: off
								a										=							["""l""", """o""", """w""", """e""", """r""", """s""", """t""", """i""", """d""", """n""", """lo""", """l</w>""", """w</w>""", """r</w>""", """t</w>""", """low</w>""", """er</w>""", """lowest</w>""", """newer</w>""", """wider""", """<unk>""", """<|startoftext|>""", """<|endoftext|>"""]
								# fmt: on
								a										=							dict(zip(__magic_name__		,      range(len(__magic_name__				)				)				)				)
								a										=							["""#version: 0.2""", """l o""", """lo w</w>""", """e r</w>"""]
								a										=							{"""unk_token""": """<unk>"""}

								a										=							os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]				)
								a										=							os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""merges_file"""]				)
								with open(self.vocab_file		,      """w"""		,      encoding="""utf-8"""				) as fp:
									fp.write(json.dumps(__magic_name__				) + """\n"""				)
								with open(self.merges_file		,      """w"""		,      encoding="""utf-8"""				) as fp:
									fp.write("""\n""".join(__magic_name__				)				)
							def       lowerCamelCase__							(						self						:Optional[Any]		,      **__magic_name__						:Union[str, Any]				):







								'''simple docstring'''







								kwargs.update(self.special_tokens_map				)
								return CLIPTokenizer.from_pretrained(self.tmpdirname		,      **__magic_name__				)
							def       lowerCamelCase__							(						self						:int		,      **__magic_name__						:Optional[Any]				):







								'''simple docstring'''







								kwargs.update(self.special_tokens_map				)
								return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,      **__magic_name__				)
							def       lowerCamelCase__							(						self						:int		,      __magic_name__						:List[str]				):







								'''simple docstring'''







								a										=							"""lower newer"""
								a										=							"""lower newer"""
								return input_text, output_text
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								a										=							CLIPTokenizer(self.vocab_file		,      self.merges_file		,      **self.special_tokens_map				)
								a										=							"""lower newer"""
								a										=							["""lo""", """w""", """er</w>""", """n""", """e""", """w""", """er</w>"""]
								a										=							tokenizer.tokenize(__magic_name__				)
								self.assertListEqual(__magic_name__		,      __magic_name__				)

								a										=							tokens + [tokenizer.unk_token]
								a										=							[10, 2, 16, 9, 3, 2, 16, 20]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__				)		,      __magic_name__				)
							@require_ftfy
							def       lowerCamelCase__							(						self						:List[Any]				):







								'''simple docstring'''







								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
										a										=							self.tokenizer_class.from_pretrained(__magic_name__		,      **__magic_name__				)
										a										=							self.rust_tokenizer_class.from_pretrained(__magic_name__		,      **__magic_name__				)

										a										=							"""A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."""
										a										=							tokenizer_s.tokenize(__magic_name__				)
										a										=							tokenizer_r.tokenize(__magic_name__				)

										self.assertListEqual(__magic_name__		,      __magic_name__				)

										# Test that the tokenization is identical on an example containing a character (Latin Small Letter A
										# with Tilde) encoded in 2 different ways
										a										=							"""xa\u0303y""" + """ """ + """x\xe3y"""
										a										=							tokenizer_s.tokenize(__magic_name__				)
										a										=							tokenizer_r.tokenize(__magic_name__				)

										self.assertListEqual(__magic_name__		,      __magic_name__				)

										# Test that the tokenization is identical on unicode of space type
										a										=							[
										    """\u0009""",  # (horizontal tab, '\t')
										    """\u000B""",  # (vertical tab)
										    """\u000C""",  # (form feed)
										    """\u0020""",  # (space, ' ')
										    """\u200E""",  # (left-to-right mark):w
										    """\u200F""",  # (right-to-left mark)
										]
										for unicode_seq in spaces_unicodes:
											a										=							tokenizer_s.tokenize(__magic_name__				)
											a										=							tokenizer_r.tokenize(__magic_name__				)

											self.assertListEqual(__magic_name__		,      __magic_name__				)

										# Test that the tokenization is identical on unicode of line break type
										a										=							[
										    """\u000A""",  # (line feed, '\n')
										    """\r\n""",  # (carriage return and line feed, '\r\n')
										    """\u000D""",  # (carriage return, '\r')
										    """\r""",  # (carriage return, '\r')
										    """\u000D""",  # (carriage return, '\r')
										    """\u2028""",  # (line separator)
										    """\u2029""",  # (paragraph separator)
										    # "\u0085", # (next line)
										]

										# The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
										# it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
										# space (and thus into an empty list).

										for unicode_seq in line_break_unicodes:
											a										=							tokenizer_s.tokenize(__magic_name__				)
											a										=							tokenizer_r.tokenize(__magic_name__				)

											self.assertListEqual(__magic_name__		,      __magic_name__				)
							def       lowerCamelCase__							(						self						:int				):







								'''simple docstring'''







								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'				):
										a										=							"""hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
										a										=							F'{text_of_1_token} {text_of_1_token}'

										a										=							self.rust_tokenizer_class.from_pretrained(
										    __magic_name__		,      use_fast=__magic_name__		,      )
										a										=							tokenizer_r(__magic_name__		,      return_offsets_mapping=__magic_name__		,      add_special_tokens=__magic_name__				)
										self.assertEqual(encoding.offset_mapping[0]		,      (0, len(__magic_name__				))				)
										self.assertEqual(
										    encoding.offset_mapping[1]		,      (len(__magic_name__				) + 1, len(__magic_name__				) + 1 + len(__magic_name__				))		,      )

										a										=							F' {text}'

										a										=							self.rust_tokenizer_class.from_pretrained(
										    __magic_name__		,      use_fast=__magic_name__		,      )
										a										=							tokenizer_r(__magic_name__		,      return_offsets_mapping=__magic_name__		,      add_special_tokens=__magic_name__				)
										self.assertEqual(encoding.offset_mapping[0]		,      (1, 1 + len(__magic_name__				))				)
										self.assertEqual(
										    encoding.offset_mapping[1]		,      (1 + len(__magic_name__				) + 1, 1 + len(__magic_name__				) + 1 + len(__magic_name__				))		,      )
							def       lowerCamelCase__							(						self						:List[str]				):







								'''simple docstring'''







								with self.assertRaises(__magic_name__				) as context:
									self.rust_tokenizer_class.from_pretrained("""robot-test/old-clip-tokenizer"""				)

								self.assertTrue(
								    context.exception.args[0].startswith(
								        """The `backend_tokenizer` provided does not match the expected format."""				)				)
							@require_ftfy
							def       lowerCamelCase__							(						self						:Tuple				):







								'''simple docstring'''







								super().test_tokenization_python_rust_equals()





							def       lowerCamelCase__							(						self						:Optional[int]				):







								'''simple docstring'''







								pass

