
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 			A_  (     __lowerCamelCase ,      unittest.TestCase  ):




	'''simple docstring'''


	_UpperCamelCase	:	List[str]									=			LongformerTokenizer
	_UpperCamelCase	:	Any									=			True
	_UpperCamelCase	:	Optional[Any]									=			LongformerTokenizerFast
	_UpperCamelCase	:	Union[str, Any]									=			True





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

		# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
		lowercase	    =       [
		    'l',
		    'o',
		    'w',
		    'e',
		    'r',
		    's',
		    't',
		    'i',
		    'd',
		    'n',
		    '\u0120',
		    '\u0120l',
		    '\u0120n',
		    '\u0120lo',
		    '\u0120low',
		    'er',
		    '\u0120lowest',
		    '\u0120newer',
		    '\u0120wider',
		    '<unk>',
		]
		lowercase	    =       dict(zip(snake_case						,       range(len(snake_case			)			)			)			)
		lowercase	    =       ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
		lowercase	    =       {'unk_token': '<unk>'}

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





	def       SCREAMING_SNAKE_CASE__		(			self						,       **snake_case			):
		kwargs.update(self.special_tokens_map			)
		return self.tokenizer_class.from_pretrained(self.tmpdirname						,       **snake_case			)





	def       SCREAMING_SNAKE_CASE__		(			self						,       **snake_case			):
		kwargs.update(self.special_tokens_map			)
		return self.rust_tokenizer_class.from_pretrained(self.tmpdirname						,       **snake_case			)





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		lowercase	    =       'lower newer'
		lowercase	    =       'lower newer'
		return input_text, output_text





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       self.tokenizer_class(self.vocab_file						,       self.merges_file						,       **self.special_tokens_map			)
		lowercase	    =       'lower newer'
		lowercase	    =       ['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
		lowercase	    =       tokenizer.tokenize(snake_case			)  # , add_prefix_space=True)
		self.assertListEqual(snake_case						,       snake_case			)

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





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       self.get_tokenizer()

		self.assertListEqual(tokenizer.encode('Hello world!'						,       add_special_tokens=snake_case			)						,       [0, 3_1414, 232, 328, 2]			)
		self.assertListEqual(
		    tokenizer.encode('Hello world! cécé herlolip 418'						,       add_special_tokens=snake_case			)						,       [0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]						,       )





	@slow
	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'			)

		lowercase	    =       tokenizer.encode('sequence builders'						,       add_special_tokens=snake_case			)
		lowercase	    =       tokenizer.encode('multi-sequence build'						,       add_special_tokens=snake_case			)

		lowercase	    =       tokenizer.encode(
		    'sequence builders'						,       add_special_tokens=snake_case						,       add_prefix_space=snake_case			)
		lowercase	    =       tokenizer.encode(
		    'sequence builders'						,       'multi-sequence build'						,       add_special_tokens=snake_case						,       add_prefix_space=snake_case			)

		lowercase	    =       tokenizer.build_inputs_with_special_tokens(snake_case			)
		lowercase	    =       tokenizer.build_inputs_with_special_tokens(snake_case						,       snake_case			)

		assert encoded_sentence == encoded_text_from_decode
		assert encoded_pair == encoded_pair_from_decode





	def       SCREAMING_SNAKE_CASE__		(			self			):
		lowercase	    =       self.get_tokenizer()

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

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

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

		tokenizer.add_special_tokens({'bos_token': '<s>'}			)
		lowercase	    =       tokenizer.encode(snake_case						,       add_special_tokens=snake_case			)
		lowercase	    =       tokenizer.convert_ids_to_tokens(encoded[1]			)[0]
		self.assertNotEqual(snake_case						,       snake_case			)

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

		lowercase	    =       'Encode <mask> sequence'
		lowercase	    =       'Encode <mask>sequence'

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

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





	def       SCREAMING_SNAKE_CASE__		(			self			):
		pass





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

				# 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']			)						,       )

				lowercase	    =       tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']			)
				lowercase	    =       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, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]			)
				self.assertSequenceEqual(tokens_r['input_ids']						,       [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]			)

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





	def       SCREAMING_SNAKE_CASE__		(			self			):
		for trim_offsets, add_prefix_space in itertools.product([True, False]						,       repeat=2			):
			lowercase	    =       self.rust_tokenizer_class.from_pretrained(
			    self.tmpdirname						,       use_fast=snake_case						,       add_prefix_space=snake_case						,       trim_offsets=snake_case			)

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

			self.assertEqual(pre_tokenizer_state['add_prefix_space']						,       snake_case			)

			self.assertEqual(post_processor_state['add_prefix_space']						,       snake_case			)
			self.assertEqual(post_processor_state['trim_offsets']						,       snake_case			)





	def       SCREAMING_SNAKE_CASE__		(			self			):
		# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
		# `trim_offsets`
		for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
			with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
				lowercase	    =       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
				lowercase	    =       F'''{text_of_1_token} {text_of_1_token}'''

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

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

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

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

				lowercase	    =       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)),
				# )

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

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

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






'''simple docstring'''

from diffusers.utils.testing_utils import require_onnxruntime






@require_onnxruntime
class 						a_		:
							pass




