



import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class  __magic_name__   (							A__,  unittest.TestCase						):
		lowercase      :       Tuple          =LongformerTokenizer
		lowercase      :       List[Any]          =True
		lowercase      :       Union[str, Any]          =LongformerTokenizerFast
		lowercase      :       str          =True






		def SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					Union[str, Any]:
								'''simple docstring'''







								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								UpperCAmelCase         =     [
								    "l",
								    "o",
								    "w",
								    "e",
								    "r",
								    "s",
								    "t",
								    "i",
								    "d",
								    "n",
								    "\u0120",
								    "\u0120l",
								    "\u0120n",
								    "\u0120lo",
								    "\u0120low",
								    "er",
								    "\u0120lowest",
								    "\u0120newer",
								    "\u0120wider",
								    "<unk>",
								]
								UpperCAmelCase         =     dict(zip(UpperCamelCase__				,		range(len(UpperCamelCase__      )      )      )      )
								UpperCAmelCase         =     ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
								UpperCAmelCase         =     {"unk_token": "<unk>"}

								UpperCAmelCase         =     os.path.join(self.tmpdirname				,		VOCAB_FILES_NAMES["vocab_file"]      )
								UpperCAmelCase         =     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(UpperCamelCase__      ) + "\n"      )
								with open(self.merges_file				,		"w"				,		encoding="utf-8"      ) as fp:
														fp.write("\n".join(UpperCamelCase__      )      )






		def SCREAMING_SNAKE_CASE_			(						self      :     int				,		**UpperCamelCase__      :     Union[str, Any]      )				->					Optional[int]:
								'''simple docstring'''







								kwargs.update(self.special_tokens_map      )
								return self.tokenizer_class.from_pretrained(self.tmpdirname				,		**UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Optional[Any]				,		**UpperCamelCase__      :     Any      )				->					Any:
								'''simple docstring'''







								kwargs.update(self.special_tokens_map      )
								return self.rust_tokenizer_class.from_pretrained(self.tmpdirname				,		**UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     int				,		UpperCamelCase__      :     int      )				->					str:
								'''simple docstring'''







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






		def SCREAMING_SNAKE_CASE_			(						self      :     Any      )				->					int:
								'''simple docstring'''







								UpperCAmelCase         =     self.tokenizer_class(self.vocab_file				,		self.merges_file				,		**self.special_tokens_map      )
								UpperCAmelCase         =     "lower newer"
								UpperCAmelCase         =     ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
								UpperCAmelCase         =     tokenizer.tokenize(UpperCamelCase__      )  # , add_prefix_space=True)
								self.assertListEqual(UpperCamelCase__				,		UpperCamelCase__      )

								UpperCAmelCase         =     tokens + [tokenizer.unk_token]
								UpperCAmelCase         =     [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__      )				,		UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Union[str, Any]      )				->					Union[str, Any]:
								'''simple docstring'''







								UpperCAmelCase         =     self.get_tokenizer()

								self.assertListEqual(tokenizer.encode("Hello world!"				,		add_special_tokens=UpperCamelCase__      )				,		[0, 3_14_14, 2_32, 3_28, 2]      )
								self.assertListEqual(
								    tokenizer.encode("Hello world! cécé herlolip 418"				,		add_special_tokens=UpperCamelCase__      )				,		[0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]				,		)






		@slow
		def SCREAMING_SNAKE_CASE_			(						self      :     Dict      )				->					Any:
								'''simple docstring'''







								UpperCAmelCase         =     self.tokenizer_class.from_pretrained("allenai/longformer-base-4096"      )

								UpperCAmelCase         =     tokenizer.encode("sequence builders"				,		add_special_tokens=UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.encode("multi-sequence build"				,		add_special_tokens=UpperCamelCase__      )

								UpperCAmelCase         =     tokenizer.encode(
								    "sequence builders"				,		add_special_tokens=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.encode(
								    "sequence builders"				,		"multi-sequence build"				,		add_special_tokens=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__      )

								UpperCAmelCase         =     tokenizer.build_inputs_with_special_tokens(UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.build_inputs_with_special_tokens(UpperCamelCase__				,		UpperCamelCase__      )

								assert encoded_sentence == encoded_text_from_decode
								assert encoded_pair == encoded_pair_from_decode






		def SCREAMING_SNAKE_CASE_			(						self      :     List[Any]      )				->					Any:
								'''simple docstring'''







								UpperCAmelCase         =     self.get_tokenizer()

								UpperCAmelCase         =     "Encode this sequence."
								UpperCAmelCase         =     tokenizer.byte_encoder[" ".encode("utf-8"      )[0]]

								# Testing encoder arguments
								UpperCAmelCase         =     tokenizer.encode(UpperCamelCase__				,		add_special_tokens=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
								self.assertNotEqual(UpperCamelCase__				,		UpperCamelCase__      )

								UpperCAmelCase         =     tokenizer.encode(UpperCamelCase__				,		add_special_tokens=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.convert_ids_to_tokens(encoded[0]      )[0]
								self.assertEqual(UpperCamelCase__				,		UpperCamelCase__      )

								tokenizer.add_special_tokens({"bos_token": "<s>"}      )
								UpperCAmelCase         =     tokenizer.encode(UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.convert_ids_to_tokens(encoded[1]      )[0]
								self.assertNotEqual(UpperCamelCase__				,		UpperCamelCase__      )

								# Testing spaces after special tokens
								UpperCAmelCase         =     "<mask>"
								tokenizer.add_special_tokens(
								    {"mask_token": AddedToken(UpperCamelCase__				,		lstrip=UpperCamelCase__				,		rstrip=UpperCamelCase__      )}      )  # mask token has a left space
								UpperCAmelCase         =     tokenizer.convert_tokens_to_ids(UpperCamelCase__      )

								UpperCAmelCase         =     "Encode <mask> sequence"
								UpperCAmelCase         =     "Encode <mask>sequence"

								UpperCAmelCase         =     tokenizer.encode(UpperCamelCase__      )
								UpperCAmelCase         =     encoded.index(UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]      )[0]
								self.assertEqual(UpperCamelCase__				,		UpperCamelCase__      )

								UpperCAmelCase         =     tokenizer.encode(UpperCamelCase__      )
								UpperCAmelCase         =     encoded.index(UpperCamelCase__      )
								UpperCAmelCase         =     tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]      )[0]
								self.assertNotEqual(UpperCamelCase__				,		UpperCamelCase__      )






		def SCREAMING_SNAKE_CASE_			(						self      :     Optional[Any]      )				->					List[str]:
								'''simple docstring'''







								pass






		def SCREAMING_SNAKE_CASE_			(						self      :     Tuple      )				->					int:
								'''simple docstring'''







								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
														with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'      ):
																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(UpperCamelCase__				,		**UpperCamelCase__      )
																				UpperCAmelCase         =     self.tokenizer_class.from_pretrained(UpperCamelCase__				,		**UpperCamelCase__      )
																				UpperCAmelCase         =     "A, <mask> AllenNLP sentence."
																				UpperCAmelCase         =     tokenizer_r.encode_plus(UpperCamelCase__				,		add_special_tokens=UpperCamelCase__				,		return_token_type_ids=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_p.encode_plus(UpperCamelCase__				,		add_special_tokens=UpperCamelCase__				,		return_token_type_ids=UpperCamelCase__      )

																				# token_type_ids should put 0 everywhere
																				self.assertEqual(sum(tokens_r["token_type_ids"]      )				,		sum(tokens_p["token_type_ids"]      )      )

																				# attention_mask should put 1 everywhere, so sum over length should be 1
																				self.assertEqual(
																				    sum(tokens_r["attention_mask"]      ) / len(tokens_r["attention_mask"]      )				,		sum(tokens_p["attention_mask"]      ) / len(tokens_p["attention_mask"]      )				,		)

																				UpperCAmelCase         =     tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]      )
																				UpperCAmelCase         =     tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]      )

																				# Rust correctly handles the space before the mask while python doesnt
																				self.assertSequenceEqual(tokens_p["input_ids"]				,		[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]      )
																				self.assertSequenceEqual(tokens_r["input_ids"]				,		[0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]      )

																				self.assertSequenceEqual(
																				    UpperCamelCase__				,		["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]      )
																				self.assertSequenceEqual(
																				    UpperCamelCase__				,		["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]      )






		def SCREAMING_SNAKE_CASE_			(						self      :     str      )				->					int:
								'''simple docstring'''







								for trim_offsets, add_prefix_space in itertools.product([True, False]				,		repeat=2      ):
														UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
														    self.tmpdirname				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )

														UpperCAmelCase         =     json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()      )
														UpperCAmelCase         =     json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()      )

														self.assertEqual(pre_tokenizer_state["add_prefix_space"]				,		UpperCamelCase__      )

														self.assertEqual(post_processor_state["add_prefix_space"]				,		UpperCamelCase__      )
														self.assertEqual(post_processor_state["trim_offsets"]				,		UpperCamelCase__      )







		def SCREAMING_SNAKE_CASE_			(						self      :     str      )				->					Tuple:
								'''simple docstring'''







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

																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
																				    UpperCamelCase__				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_r(UpperCamelCase__				,		return_offsets_mapping=UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
																				self.assertEqual(encoding.offset_mapping[0]				,		(0, len(UpperCamelCase__      ))      )
																				self.assertEqual(
																				    encoding.offset_mapping[1]				,		(len(UpperCamelCase__      ) + 1, len(UpperCamelCase__      ) + 1 + len(UpperCamelCase__      ))				,		)

																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
																				    UpperCamelCase__				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_r(UpperCamelCase__				,		return_offsets_mapping=UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
																				self.assertEqual(encoding.offset_mapping[0]				,		(0, len(UpperCamelCase__      ))      )
																				self.assertEqual(
																				    encoding.offset_mapping[1]				,		(len(UpperCamelCase__      ) + 1, len(UpperCamelCase__      ) + 1 + len(UpperCamelCase__      ))				,		)

																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
																				    UpperCamelCase__				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_r(UpperCamelCase__				,		return_offsets_mapping=UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
																				self.assertEqual(encoding.offset_mapping[0]				,		(0, len(UpperCamelCase__      ))      )
																				self.assertEqual(
																				    encoding.offset_mapping[1]				,		(len(UpperCamelCase__      ), len(UpperCamelCase__      ) + 1 + len(UpperCamelCase__      ))				,		)

																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
																				    UpperCamelCase__				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_r(UpperCamelCase__				,		return_offsets_mapping=UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
																				self.assertEqual(encoding.offset_mapping[0]				,		(0, len(UpperCamelCase__      ))      )
																				self.assertEqual(
																				    encoding.offset_mapping[1]				,		(len(UpperCamelCase__      ), len(UpperCamelCase__      ) + 1 + len(UpperCamelCase__      ))				,		)

																				UpperCAmelCase         =     F' {text}'

																				# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
																				#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
																				# )
																				# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
																				# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
																				# self.assertEqual(
																				#     encoding.offset_mapping[1],
																				#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
																				# )

																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
																				    UpperCamelCase__				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_r(UpperCamelCase__				,		return_offsets_mapping=UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
																				self.assertEqual(encoding.offset_mapping[0]				,		(1, 1 + len(UpperCamelCase__      ))      )
																				self.assertEqual(
																				    encoding.offset_mapping[1]				,		(1 + len(UpperCamelCase__      ) + 1, 1 + len(UpperCamelCase__      ) + 1 + len(UpperCamelCase__      ))				,		)

																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
																				    UpperCamelCase__				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_r(UpperCamelCase__				,		return_offsets_mapping=UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
																				self.assertEqual(encoding.offset_mapping[0]				,		(0, 1 + len(UpperCamelCase__      ))      )
																				self.assertEqual(
																				    encoding.offset_mapping[1]				,		(1 + len(UpperCamelCase__      ), 1 + len(UpperCamelCase__      ) + 1 + len(UpperCamelCase__      ))				,		)

																				UpperCAmelCase         =     self.rust_tokenizer_class.from_pretrained(
																				    UpperCamelCase__				,		use_fast=UpperCamelCase__				,		add_prefix_space=UpperCamelCase__				,		trim_offsets=UpperCamelCase__      )
																				UpperCAmelCase         =     tokenizer_r(UpperCamelCase__				,		return_offsets_mapping=UpperCamelCase__				,		add_special_tokens=UpperCamelCase__      )
																				self.assertEqual(encoding.offset_mapping[0]				,		(0, 1 + len(UpperCamelCase__      ))      )
																				self.assertEqual(
																				    encoding.offset_mapping[1]				,		(1 + len(UpperCamelCase__      ), 1 + len(UpperCamelCase__      ) + 1 + len(UpperCamelCase__      ))				,		)








from argparse import ArgumentParser

from .env import EnvironmentCommand

def    lowerCamelCase_() ->       Any:
						UpperCAmelCase         =     ArgumentParser("Diffusers CLI tool"    ,   usage="diffusers-cli <command> [<args>]"    )
						UpperCAmelCase         =     parser.add_subparsers(help="diffusers-cli command helpers"    )

						# Register commands
						EnvironmentCommand.register_subcommand(lowerCamelCase_    )

						# Let's go
						UpperCAmelCase         =     parser.parse_args()

						if not hasattr(lowerCamelCase_    ,   "func"    ):
												parser.print_help()
												exit(1    )

						# Run
						UpperCAmelCase         =     args.func(lowerCamelCase_    )
						service.run()


if __name__ == "__main__":
		main()



