
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 			lowerCAmelCase (				lowerCAmelCase__		,     unittest.TestCase			):
		a							:					Optional[Any]       =					OpenAIGPTTokenizer
		a							:					int       =					OpenAIGPTTokenizerFast
		a							:					Tuple       =					True
		a							:					Any       =					False




		def     lowercase       (				self      ):
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								_SCREAMING_SNAKE_CASE				= [
								    "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>",
								]
								_SCREAMING_SNAKE_CASE				= dict(zip(_lowerCamelCase					,						range(len(_lowerCamelCase      )      )      )      )
								_SCREAMING_SNAKE_CASE				= ["#version: 0.2", "l o", "lo w", "e r</w>", ""]

								_SCREAMING_SNAKE_CASE				= os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["vocab_file"]      )
								_SCREAMING_SNAKE_CASE				= os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["merges_file"]      )
								with open(self.vocab_file					,						"w"      ) as fp:
														fp.write(json.dumps(_lowerCamelCase      )      )
								with open(self.merges_file					,						"w"      ) as fp:
														fp.write("\n".join(_lowerCamelCase      )      )




		def     lowercase       (				self					,						UpperCamelCase      ):
								return "lower newer", "lower newer"




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= OpenAIGPTTokenizer(self.vocab_file					,						self.merges_file      )

								_SCREAMING_SNAKE_CASE				= "lower"
								_SCREAMING_SNAKE_CASE				= ["low", "er</w>"]
								_SCREAMING_SNAKE_CASE				= tokenizer.tokenize(_lowerCamelCase      )
								self.assertListEqual(_lowerCamelCase					,						_lowerCamelCase      )

								_SCREAMING_SNAKE_CASE				= tokens + ["<unk>"]
								_SCREAMING_SNAKE_CASE				= [14, 15, 20]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase      )					,						_lowerCamelCase      )




		def     lowercase       (				self					,						UpperCamelCase=15      ):





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

																				# Simple input
																				_SCREAMING_SNAKE_CASE				= "This is a simple input"
																				_SCREAMING_SNAKE_CASE				= ["This is a simple input 1", "This is a simple input 2"]
																				_SCREAMING_SNAKE_CASE				= ("This is a simple input", "This is a pair")
																				_SCREAMING_SNAKE_CASE				= [
																				    ("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(_lowerCamelCase					,						tokenizer_r.encode					,						_lowerCamelCase					,						max_length=_lowerCamelCase					,						padding="max_length"      )

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

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

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

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

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




		def     lowercase       (				self      ):
								pass


@require_ftfy
@require_spacy
@require_tokenizers
class 			lowerCAmelCase (				lowerCAmelCase__			):
		pass

'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_dpt import DPTImageProcessor


_snake_case				:   List[Any]     =				logging.get_logger(__name__)


class 			lowerCAmelCase (				__UpperCAmelCase			):




		def __init__(				self					,						*UpperCamelCase					,						**UpperCamelCase      ):
								warnings.warn(
								    "The class DPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
								    " use DPTImageProcessor instead."					,						UpperCamelCase					,						)
								super().__init__(*UpperCamelCase					,						**UpperCamelCase      )