
'''simple docstring'''

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  A  (						SCREAMING_SNAKE_CASE__	,   unittest.TestCase     ):
	snake_case__   :int   =  CLIPTokenizer
	snake_case__   :Optional[Any]   =  CLIPTokenizerFast
	snake_case__   :Optional[Any]   =  True
	snake_case__   :Dict   =  {}
	snake_case__   :List[Any]   =  False





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Any				):


				"""simple docstring"""

				super().setUp()

				# fmt: off
				lowerCAmelCase__										=				["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
				lowerCAmelCase__										=				dict(zip(__magic_name__   ,				range(len(__magic_name__				)				)				)				)
				lowerCAmelCase__										=				["#version: 0.2", "l o", "lo w</w>", "e r</w>"]
				lowerCAmelCase__										=				{"unk_token": "<unk>"}

				lowerCAmelCase__										=				os.path.join(self.tmpdirname   ,				VOCAB_FILES_NAMES["vocab_file"]				)
				lowerCAmelCase__										=				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 				__SCREAMING_SNAKE_CASE	(       self      :							Union[str, Any]   ,				**__magic_name__      :							int				):


				"""simple docstring"""

				kwargs.update(self.special_tokens_map				)
				return CLIPTokenizer.from_pretrained(self.tmpdirname   ,				**__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Tuple   ,				**__magic_name__      :							List[Any]				):


				"""simple docstring"""

				kwargs.update(self.special_tokens_map				)
				return CLIPTokenizerFast.from_pretrained(self.tmpdirname   ,				**__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							List[Any]   ,				__magic_name__      :							Tuple				):


				"""simple docstring"""

				lowerCAmelCase__										=				"lower newer"
				lowerCAmelCase__										=				"lower newer"
				return input_text, output_text





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Union[str, Any]				):


				"""simple docstring"""

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

				lowerCAmelCase__										=				tokens + [tokenizer.unk_token]
				lowerCAmelCase__										=				[10, 2, 16, 9, 3, 2, 16, 20]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__				)   ,				__magic_name__				)





	@require_ftfy
	def 				__SCREAMING_SNAKE_CASE	(       self      :							List[str]				):


				"""simple docstring"""

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

										lowerCAmelCase__										=				"A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
										lowerCAmelCase__										=				tokenizer_s.tokenize(__magic_name__				)
										lowerCAmelCase__										=				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
										lowerCAmelCase__										=				"xa\u0303y" + " " + "x\xe3y"
										lowerCAmelCase__										=				tokenizer_s.tokenize(__magic_name__				)
										lowerCAmelCase__										=				tokenizer_r.tokenize(__magic_name__				)

										self.assertListEqual(__magic_name__   ,				__magic_name__				)

										# Test that the tokenization is identical on unicode of space type
										lowerCAmelCase__										=				[
										    "\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:
													lowerCAmelCase__										=				tokenizer_s.tokenize(__magic_name__				)
													lowerCAmelCase__										=				tokenizer_r.tokenize(__magic_name__				)

													self.assertListEqual(__magic_name__   ,				__magic_name__				)

										# Test that the tokenization is identical on unicode of line break type
										lowerCAmelCase__										=				[
										    "\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:
													lowerCAmelCase__										=				tokenizer_s.tokenize(__magic_name__				)
													lowerCAmelCase__										=				tokenizer_r.tokenize(__magic_name__				)

													self.assertListEqual(__magic_name__   ,				__magic_name__				)





	def 				__SCREAMING_SNAKE_CASE	(       self      :							Optional[Any]				):


				"""simple docstring"""

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

										lowerCAmelCase__										=				self.rust_tokenizer_class.from_pretrained(
										    __magic_name__   ,				use_fast=__magic_name__   ,				)
										lowerCAmelCase__										=				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__				))   ,				)

										lowerCAmelCase__										=				f""" {text}"""

										lowerCAmelCase__										=				self.rust_tokenizer_class.from_pretrained(
										    __magic_name__   ,				use_fast=__magic_name__   ,				)
										lowerCAmelCase__										=				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 				__SCREAMING_SNAKE_CASE	(       self      :							Optional[int]				):


				"""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 				__SCREAMING_SNAKE_CASE	(       self      :							Any				):


				"""simple docstring"""

				super().test_tokenization_python_rust_equals()







	def 				__SCREAMING_SNAKE_CASE	(       self      :							Optional[int]				):


				"""simple docstring"""

				pass












import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase__           =			logging.get_logger(__name__)

class 							__SCREAMING_SNAKE_CASE       (  _a							):
							snake_case  :   Optional[Any]      =							"""encoder-decoder"""
							snake_case  :   Optional[int]      =							True






							def __init__(    self	,			**__lowerCAmelCase	):
														super().__init__(**__lowerCAmelCase	)
														assert (
														    "encoder" in kwargs and "decoder" in kwargs
														), "Config has to be initialized with encoder and decoder config"
														UpperCamelCase__					  =      kwargs.pop("""encoder"""	)
														UpperCamelCase__					  =      encoder_config.pop("""model_type"""	)
														UpperCamelCase__					  =      kwargs.pop("""decoder"""	)
														UpperCamelCase__					  =      decoder_config.pop("""model_type"""	)

														from ..auto.configuration_auto import AutoConfig

														UpperCamelCase__					  =      AutoConfig.for_model(__lowerCAmelCase	,			**__lowerCAmelCase	)
														UpperCamelCase__					  =      AutoConfig.for_model(__lowerCAmelCase	,			**__lowerCAmelCase	)
														UpperCamelCase__					  =      True






							@classmethod
							def 					_lowerCamelCase		(    cls	,			__lowerCAmelCase	,			__lowerCAmelCase	,			**__lowerCAmelCase	):
														logger.info("""Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""	)
														UpperCamelCase__					  =      True
														UpperCamelCase__					  =      True

														return cls(encoder=encoder_config.to_dict()	,			decoder=decoder_config.to_dict()	,			**__lowerCAmelCase	)







							def 					_lowerCamelCase		(    self	):
														UpperCamelCase__					  =      copy.deepcopy(self.__dict__	)
														UpperCamelCase__					  =      self.encoder.to_dict()
														UpperCamelCase__					  =      self.decoder.to_dict()
														UpperCamelCase__					  =      self.__class__.model_type
														return output




