



import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class 				snake_case__(_UpperCamelCase    ,      unittest.TestCase      ):

     """simple docstring"""






     lowercase_								=		OpenAIGPTTokenizer
     lowercase_								=		OpenAIGPTTokenizerFast
     lowercase_								=		True
     lowercase_								=		False







     def 			snake_case					(							self :     Dict					):
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         lowercase__					:   Dict													=					[
             "l",
             "o",
             "w",
             "e",
             "r",
             "s",
             "t",
             "i",
             "d",
             "n",
             "w</w>",
             "r</w>",
             "t</w>",
             "lo",
             "low",
             "er</w>",
             "low</w>",
             "lowest</w>",
             "newer</w>",
             "wider</w>",
             "<unk>",
         ]
         lowercase__					:   List[Any]													=					dict(zip(SCREAMING_SNAKE_CASE				,       range(len(SCREAMING_SNAKE_CASE					)					)					)					)
         lowercase__					:   Dict													=					["#version: 0.2", "l o", "lo w", "e r</w>", ""]

         lowercase__					:   Optional[Any]													=					os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES["vocab_file"]					)
         lowercase__					:   str													=					os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES["merges_file"]					)
         with open(self.vocab_file				,       "w"					) as fp:
             fp.write(json.dumps(SCREAMING_SNAKE_CASE					)					)
         with open(self.merges_file				,       "w"					) as fp:
             fp.write("\n".join(SCREAMING_SNAKE_CASE					)					)







     def 			snake_case					(							self :     Dict				,       SCREAMING_SNAKE_CASE :     Tuple					):
         return "lower newer", "lower newer"







     def 			snake_case					(							self :     Optional[int]					):
         lowercase__					:   List[str]													=					OpenAIGPTTokenizer(self.vocab_file				,       self.merges_file					)

         lowercase__					:   int													=					"lower"
         lowercase__					:   List[str]													=					["low", "er</w>"]
         lowercase__					:   int													=					tokenizer.tokenize(SCREAMING_SNAKE_CASE					)
         self.assertListEqual(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)

         lowercase__					:   Any													=					tokens + ["<unk>"]
         lowercase__					:   List[str]													=					[14, 15, 20]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE					)				,       SCREAMING_SNAKE_CASE					)







     def 			snake_case					(							self :     List[Any]				,       SCREAMING_SNAKE_CASE :     Any=15					):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""					):
                 lowercase__					:   List[Any]													=					self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)

                 # Simple input
                 lowercase__					:   Dict													=					"This is a simple input"
                 lowercase__					:   Tuple													=					["This is a simple input 1", "This is a simple input 2"]
                 lowercase__					:   Optional[Any]													=					("This is a simple input", "This is a pair")
                 lowercase__					:   Dict													=					[
                     ("This is a simple input 1", "This is a simple input 2"),
                     ("This is a simple pair 1", "This is a simple pair 2"),
                 ]

                 # Simple input tests
                 self.assertRaises(SCREAMING_SNAKE_CASE				,       tokenizer_r.encode				,       SCREAMING_SNAKE_CASE				,       max_length=SCREAMING_SNAKE_CASE				,       padding="max_length"					)

                 # Simple input
                 self.assertRaises(SCREAMING_SNAKE_CASE				,       tokenizer_r.encode_plus				,       SCREAMING_SNAKE_CASE				,       max_length=SCREAMING_SNAKE_CASE				,       padding="max_length"					)

                 # Simple input
                 self.assertRaises(
                     SCREAMING_SNAKE_CASE				,       tokenizer_r.batch_encode_plus				,       SCREAMING_SNAKE_CASE				,       max_length=SCREAMING_SNAKE_CASE				,       padding="max_length"				,       )

                 # Pair input
                 self.assertRaises(SCREAMING_SNAKE_CASE				,       tokenizer_r.encode				,       SCREAMING_SNAKE_CASE				,       max_length=SCREAMING_SNAKE_CASE				,       padding="max_length"					)

                 # Pair input
                 self.assertRaises(SCREAMING_SNAKE_CASE				,       tokenizer_r.encode_plus				,       SCREAMING_SNAKE_CASE				,       max_length=SCREAMING_SNAKE_CASE				,       padding="max_length"					)

                 # Pair input
                 self.assertRaises(
                     SCREAMING_SNAKE_CASE				,       tokenizer_r.batch_encode_plus				,       SCREAMING_SNAKE_CASE				,       max_length=SCREAMING_SNAKE_CASE				,       padding="max_length"				,       )







     def 			snake_case					(							self :     Union[str, Any]					):
         pass






@require_ftfy
@require_spacy
@require_tokenizers
class 				snake_case__(_UpperCamelCase      ):

     """simple docstring"""






     pass









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase__					  =  {}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__					  =  ['''NllbTokenizer''']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__					  =  ['''NllbTokenizerFast''']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_nllb import NllbTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_nllb_fast import NllbTokenizerFast

else:
				import sys

				lowerCAmelCase__					  =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




