


'''simple docstring'''






import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
		__A	:	Union[str, Any]     =     '''pt'''
elif is_tf_available():
		__A	:	str     =     '''tf'''
else:
		__A	:	Union[str, Any]     =     '''jax'''
class 						__UpperCamelCase	(						snake_case__						,  unittest.TestCase							):
							lowercase			:		Tuple   		=  ByTaTokenizer
							lowercase			:		Union[str, Any]   		=  False





							def 		a__   (  self		:Any			):
									super().setUp()
									snake_case_		:							Optional[int]			       =						ByTaTokenizer()
									tokenizer.save_pretrained(self.tmpdirname			)





							@cached_property
							def 		a__   (  self		:str			):
									return ByTaTokenizer.from_pretrained("""google/byt5-small"""			)





							def 		a__   (  self		:List[str]  ,**_UpperCamelCase		:str			):
									return self.tokenizer_class.from_pretrained(self.tmpdirname  ,**_A			)





							def 		a__   (  self		:List[str]  ,_UpperCamelCase		:List[str]  ,_UpperCamelCase		:Optional[Any]=False  ,_UpperCamelCase		:str=2_0  ,_UpperCamelCase		:Any=5			):
									# XXX The default common tokenizer tests assume that every ID is decodable on its own.
									# This assumption is invalid for ByT5 because single bytes might not be
									# valid utf-8 (byte 128 for instance).
									# Here we're overriding the smallest possible method to provide
									# a clean sequence without making the same assumption.

									snake_case_		:							List[str]			       =						[]
									for i in range(len(_A			)			):
											try:
													snake_case_		:							Optional[Any]			       =						tokenizer.decode([i]  ,clean_up_tokenization_spaces=_A			)
											except UnicodeDecodeError:
													pass
											toks.append((i, tok)			)

									snake_case_		:							Optional[Any]			       =						list(filter(lambda _UpperCamelCase			: re.match(R"""^[ a-zA-Z]+$"""  ,t[1]			)  ,_A			)			)
									snake_case_		:							Optional[int]			       =						list(filter(lambda _UpperCamelCase			: [t[0]] == tokenizer.encode(t[1]  ,add_special_tokens=_A			)  ,_A			)			)
									if max_length is not None and len(_A			) > max_length:
											snake_case_		:							List[str]			       =						toks[:max_length]
									if min_length is not None and len(_A			) < min_length and len(_A			) > 0:
											while len(_A			) < min_length:
													snake_case_		:							Tuple			       =						toks + toks
        # toks_str = [t[1] for t in toks]
									snake_case_		:							Dict			       =						[t[0] for t in toks]

									# Ensure consistency
									snake_case_		:							Dict			       =						tokenizer.decode(_A  ,clean_up_tokenization_spaces=_A			)
									if " " not in output_txt and len(_A			) > 1:
											snake_case_		:							Dict			       =						(
											    tokenizer.decode([toks_ids[0]]  ,clean_up_tokenization_spaces=_A			)
											    + ' '
											    + tokenizer.decode(toks_ids[1:]  ,clean_up_tokenization_spaces=_A			)
											)
									if with_prefix_space:
											snake_case_		:							Any			       =						' ' + output_txt
									snake_case_		:							str			       =						tokenizer.encode(_A  ,add_special_tokens=_A			)
									return output_txt, output_ids





							def 		a__   (  self		:Optional[Any]			):
									snake_case_		:							List[Any]			       =						self.ta_base_tokenizer
									snake_case_		:							Any			       =						tokenizer(["""hi</s>""", """I went to the gym</s>""", """</s>"""]			)
									snake_case_		:							Tuple			       =						tokenizer(["""hi""", """I went to the gym""", """"""]			)
									self.assertListEqual(batch_with_eos_added["""input_ids"""]  ,batch_without_eos_added["""input_ids"""]			)





							def 		a__   (  self		:Optional[Any]			):
									snake_case_		:							int			       =						self.ta_base_tokenizer
									snake_case_		:							List[str]			       =						'Unicode €.'
									snake_case_		:							Dict			       =						tokenizer(_A			)
									snake_case_		:							Tuple			       =						[8_8, 1_1_3, 1_0_8, 1_0_2, 1_1_4, 1_0_3, 1_0_4, 3_5, 2_2_9, 1_3_3, 1_7_5, 4_9, 1]
									self.assertEqual(encoded["""input_ids"""]  ,_A			)

									# decoding
									snake_case_		:							Union[str, Any]			       =						tokenizer.decode(_A			)
									self.assertEqual(_A  ,"""Unicode €.</s>"""			)

									snake_case_		:							List[Any]			       =						tokenizer("""e è é ê ë"""			)
									snake_case_		:							Union[str, Any]			       =						[1_0_4, 3_5, 1_9_8, 1_7_1, 3_5, 1_9_8, 1_7_2, 3_5, 1_9_8, 1_7_3, 3_5, 1_9_8, 1_7_4, 1]
									self.assertEqual(encoded["""input_ids"""]  ,_A			)
									# decoding
									snake_case_		:							Optional[int]			       =						tokenizer.decode(_A			)
									self.assertEqual(_A  ,"""e è é ê ë</s>"""			)

									# encode/decode, but with `encode` instead of `__call__`
									self.assertEqual(tokenizer.decode(tokenizer.encode("""e è é ê ë"""			)			)  ,"""e è é ê ë</s>"""			)





							def 		a__   (  self		:List[str]			):
									snake_case_		:							Optional[int]			       =						self.ta_base_tokenizer
									snake_case_		:							str			       =						['A long paragraph for summarization.', 'Another paragraph for summarization.']
									# fmt: off
									snake_case_		:							Optional[Any]			       =						[6_8, 3_5, 1_1_1, 1_1_4, 1_1_3, 1_0_6, 3_5, 1_1_5, 1_0_0, 1_1_7, 1_0_0, 1_0_6, 1_1_7, 1_0_0, 1_1_5, 1_0_7, 3_5, 1_0_5, 1_1_4, 1_1_7, 3_5, 1_1_8, 1_2_0, 1_1_2, 1_1_2, 1_0_0, 1_1_7, 1_0_8, 1_2_5, 1_0_0, 1_1_9, 1_0_8, 1_1_4, 1_1_3, 4_9, 1, 0]
									# fmt: on
									snake_case_		:							List[Any]			       =						tokenizer(_A  ,padding=_A  ,return_tensors=_A			)
									self.assertIsInstance(_A  ,_A			)

									if FRAMEWORK != "jax":
											snake_case_		:							Optional[int]			       =						list(batch.input_ids.numpy()[0]			)
									else:
											snake_case_		:							Dict			       =						list(batch.input_ids.tolist()[0]			)

									self.assertListEqual(_A  ,_A			)

									self.assertEqual((2, 3_7)  ,batch.input_ids.shape			)
									self.assertEqual((2, 3_7)  ,batch.attention_mask.shape			)





							def 		a__   (  self		:Union[str, Any]			):
									snake_case_		:							Union[str, Any]			       =						self.ta_base_tokenizer
									snake_case_		:							Optional[int]			       =						['A long paragraph for summarization.', 'Another paragraph for summarization.']
									snake_case_		:							Optional[int]			       =						tokenizer(_A  ,padding=_A  ,return_tensors=_A			)
									# check if input_ids are returned and no decoder_input_ids
									self.assertIn("""input_ids"""  ,_A			)
									self.assertIn("""attention_mask"""  ,_A			)
									self.assertNotIn("""decoder_input_ids"""  ,_A			)
									self.assertNotIn("""decoder_attention_mask"""  ,_A			)





							def 		a__   (  self		:List[str]			):
									snake_case_		:							str			       =						self.ta_base_tokenizer
									snake_case_		:							Optional[int]			       =						[
									    'Summary of the text.',
									    'Another summary.',
									]
									snake_case_		:							Optional[Any]			       =						tokenizer(
									    text_target=_A  ,max_length=3_2  ,padding="""max_length"""  ,truncation=_A  ,return_tensors=_A			)
									self.assertEqual(3_2  ,targets["""input_ids"""].shape[1]			)





							def 		a__   (  self		:str			):
									snake_case_		:							str			       =						self.ta_base_tokenizer
									snake_case_		:							Optional[int]			       =						['A long paragraph for summarization. </s>']
									snake_case_		:							Tuple			       =						['Summary of the text. </s>']
									# fmt: off
									snake_case_		:							str			       =						[6_8, 3_5, 1_1_1, 1_1_4, 1_1_3, 1_0_6, 3_5, 1_1_5, 1_0_0, 1_1_7, 1_0_0, 1_0_6, 1_1_7, 1_0_0, 1_1_5, 1_0_7, 3_5, 1_0_5, 1_1_4, 1_1_7, 3_5, 1_1_8, 1_2_0, 1_1_2, 1_1_2, 1_0_0, 1_1_7, 1_0_8, 1_2_5, 1_0_0, 1_1_9, 1_0_8, 1_1_4, 1_1_3, 4_9, 3_5, 1]
									snake_case_		:							Dict			       =						[8_6, 1_2_0, 1_1_2, 1_1_2, 1_0_0, 1_1_7, 1_2_4, 3_5, 1_1_4, 1_0_5, 3_5, 1_1_9, 1_0_7, 1_0_4, 3_5, 1_1_9, 1_0_4, 1_2_3, 1_1_9, 4_9, 3_5, 1]
									# fmt: on

									snake_case_		:							Dict			       =						tokenizer(_A  ,text_target=_A			)

									self.assertEqual(_A  ,batch["""input_ids"""][0]			)
									self.assertEqual(_A  ,batch["""labels"""][0]			)





							def 		a__   (  self		:str			):
									# safety check on max_len default value so we are sure the test works
									snake_case_		:							Optional[Any]			       =						self.get_tokenizers()
									for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''			):
													self.assertNotEqual(tokenizer.model_max_length  ,4_2			)

        # Now let's start the test
									snake_case_		:							Optional[Any]			       =						self.get_tokenizers()
									for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''			):
													# Isolate this from the other tests because we save additional tokens/etc
													snake_case_		:							Union[str, Any]			       =						tempfile.mkdtemp()

													snake_case_		:							Tuple			       =						' He is very happy, UNwant\u00E9d,running'
													snake_case_		:							Any			       =						tokenizer.encode(_A  ,add_special_tokens=_A			)
													tokenizer.save_pretrained(_A			)

													snake_case_		:							int			       =						tokenizer.__class__.from_pretrained(_A			)
													snake_case_		:							Optional[Any]			       =						after_tokenizer.encode(_A  ,add_special_tokens=_A			)
													self.assertListEqual(_A  ,_A			)

													shutil.rmtree(_A			)

									snake_case_		:							int			       =						self.get_tokenizers(model_max_length=4_2			)
									for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''			):
													# Isolate this from the other tests because we save additional tokens/etc
													snake_case_		:							Union[str, Any]			       =						tempfile.mkdtemp()

													snake_case_		:							List[Any]			       =						' He is very happy, UNwant\u00E9d,running'
													tokenizer.add_tokens(["""bim""", """bambam"""]			)
													snake_case_		:							Any			       =						tokenizer.additional_special_tokens
													additional_special_tokens.append("""new_additional_special_token"""			)
													tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}			)
													snake_case_		:							Any			       =						tokenizer.encode(_A  ,add_special_tokens=_A			)
													tokenizer.save_pretrained(_A			)

													snake_case_		:							Optional[int]			       =						tokenizer.__class__.from_pretrained(_A			)
													snake_case_		:							int			       =						after_tokenizer.encode(_A  ,add_special_tokens=_A			)
													self.assertListEqual(_A  ,_A			)
													self.assertIn("""new_additional_special_token"""  ,after_tokenizer.additional_special_tokens			)
													self.assertEqual(after_tokenizer.model_max_length  ,4_2			)

													snake_case_		:							Any			       =						tokenizer.__class__.from_pretrained(_A  ,model_max_length=4_3			)
													self.assertEqual(tokenizer.model_max_length  ,4_3			)

													shutil.rmtree(_A			)





							def 		a__   (  self		:Dict			):
									snake_case_		:							Optional[Any]			       =						[]
									if self.test_slow_tokenizer:
											tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())			)

									if self.test_rust_tokenizer:
											tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())			)

									for tokenizer_class, tokenizer_utils in tokenizer_list:
											with tempfile.TemporaryDirectory() as tmp_dir:
													tokenizer_utils.save_pretrained(_A			)

													with open(os.path.join(_A  ,"""special_tokens_map.json"""			)  ,encoding="""utf-8"""			) as json_file:
															snake_case_		:							Union[str, Any]			       =						json.load(_A			)

													with open(os.path.join(_A  ,"""tokenizer_config.json"""			)  ,encoding="""utf-8"""			) as json_file:
															snake_case_		:							Any			       =						json.load(_A			)

													snake_case_		:							Optional[int]			       =						[F'''<extra_id_{i}>''' for i in range(1_2_5			)]

													snake_case_		:							Tuple			       =						added_tokens_extra_ids + [
													    'an_additional_special_token'
													]
													snake_case_		:							str			       =						added_tokens_extra_ids + [
													    'an_additional_special_token'
													]

													with open(os.path.join(_A  ,"""special_tokens_map.json"""			)  ,"""w"""  ,encoding="""utf-8"""			) as outfile:
															json.dump(_A  ,_A			)
													with open(os.path.join(_A  ,"""tokenizer_config.json"""			)  ,"""w"""  ,encoding="""utf-8"""			) as outfile:
															json.dump(_A  ,_A			)

													# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
													# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
													# "special_tokens_map.json" files
													snake_case_		:							str			       =						tokenizer_class.from_pretrained(
													    _A  ,)
													self.assertIn(
													    """an_additional_special_token"""  ,tokenizer_without_change_in_init.additional_special_tokens			)
													# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
													self.assertEqual(
													    ["""an_additional_special_token"""]  ,tokenizer_without_change_in_init.convert_ids_to_tokens(
													        tokenizer_without_change_in_init.convert_tokens_to_ids(["""an_additional_special_token"""]			)			)  ,)

													# Now we test that we can change the value of additional_special_tokens in the from_pretrained
													snake_case_		:							str			       =						added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""  ,lstrip=_A			)]
													snake_case_		:							Optional[Any]			       =						tokenizer_class.from_pretrained(
													    _A  ,additional_special_tokens=_A  ,)

													self.assertIn("""a_new_additional_special_token"""  ,tokenizer.additional_special_tokens			)
													self.assertEqual(
													    ["""a_new_additional_special_token"""]  ,tokenizer.convert_ids_to_tokens(
													        tokenizer.convert_tokens_to_ids(["""a_new_additional_special_token"""]			)			)  ,)





							def 		a__   (  self		:str			):
									snake_case_		:							Dict			       =						[]
									if self.test_slow_tokenizer:
											tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())			)

									if self.test_rust_tokenizer:
											tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())			)

									for tokenizer_class, tokenizer_utils in tokenizer_list:
											with tempfile.TemporaryDirectory() as tmp_dir:
													tokenizer_utils.save_pretrained(_A			)

													snake_case_		:							str			       =						tokenizer_class.from_pretrained(_A			)

													self.assertTrue(tokenizer.decode([2_5_5]			) == """"""			)





							def 		a__   (  self		:List[Any]			):
									pass





							def 		a__   (  self		:Optional[Any]			):
									pass





							def 		a__   (  self		:List[Any]			):
									pass





							def 		a__   (  self		:Tuple			):
									pass





							def 		a__   (  self		:List[Any]			):
									# The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
									# and special added tokens as tokens
									snake_case_		:							List[Any]			       =						self.get_tokenizers(fast=_A  ,do_lower_case=_A			)
									for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''			):
													snake_case_		:							Dict			       =						['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
													snake_case_		:							Tuple			       =						tokenizer.convert_tokens_to_string(_A			)

													self.assertIsInstance(_A  ,_A			)





							def 		a__   (  self		:List[str]			):
									snake_case_		:							str			       =						self.get_tokenizers()
									for tokenizer in tokenizers:
											with self.subTest(F'''{tokenizer.__class__.__name__}'''			):
													snake_case_		:							Dict			       =						[
													    'bos_token',
													    'eos_token',
													    'unk_token',
													    'sep_token',
													    'pad_token',
													    'cls_token',
													    'mask_token',
													]

													snake_case_		:							Dict			       =						0
													snake_case_		:							Tuple			       =						tokenizer.convert_ids_to_tokens(
													    _A  ,skip_special_tokens=_A			)

													for attr in attributes_list:
															setattr(_A  ,attr + """_id"""  ,_A			)
															self.assertEqual(getattr(_A  ,_A			)  ,_A			)
															self.assertEqual(getattr(_A  ,attr + """_id"""			)  ,_A			)

															setattr(_A  ,attr + """_id"""  ,_A			)
															self.assertEqual(getattr(_A  ,_A			)  ,_A			)
															self.assertEqual(getattr(_A  ,attr + """_id"""			)  ,_A			)

													setattr(_A  ,"""additional_special_tokens_ids"""  ,[]			)
													self.assertListEqual(getattr(_A  ,"""additional_special_tokens"""			)  ,[]			)
													self.assertListEqual(getattr(_A  ,"""additional_special_tokens_ids"""			)  ,[]			)

													setattr(_A  ,"""additional_special_tokens_ids"""  ,[token_id_to_test_setters]			)
													self.assertListEqual(getattr(_A  ,"""additional_special_tokens"""			)  ,[token_to_test_setters]			)
													self.assertListEqual(getattr(_A  ,"""additional_special_tokens_ids"""			)  ,[token_id_to_test_setters]			)



'''simple docstring'''






def      UpperCAmelCase      (		lowerCamelCase_  :Tuple				,      lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :str				,      lowerCamelCase_  :str ):







		'''simple docstring'''
		# Return True if there is node that has not iterated.
		snake_case_		:							Optional[int]			       =						[False] * len(lowerCamelCase_ )
		snake_case_		:							Dict			       =						[]
		queue.append(lowerCamelCase_ )
		snake_case_		:							Tuple			       =						True

		while queue:
				snake_case_		:							Union[str, Any]			       =						queue.pop(0 )
				for ind in range(len(graph[u] ) ):
						if visited[ind] is False and graph[u][ind] > 0:
								queue.append(lowerCamelCase_ )
								snake_case_		:							str			       =						True
								snake_case_		:							Optional[Any]			       =						u

		return visited[t]





def      UpperCAmelCase      (		lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :Dict				,      lowerCamelCase_  :Union[str, Any] ):







		'''simple docstring'''
		# This array is filled by BFS and to store path
		snake_case_		:							Optional[int]			       =						[-1] * (len(lowerCamelCase_ ))
		snake_case_		:							Tuple			       =						0
		while bfs(lowerCamelCase_				,      lowerCamelCase_				,      lowerCamelCase_				,      lowerCamelCase_ ):
				snake_case_		:							int			       =						float("""Inf""" )
				snake_case_		:							Any			       =						sink

				while s != source:
						# Find the minimum value in select path
						snake_case_		:							Optional[Any]			       =						min(lowerCamelCase_				,      graph[parent[s]][s] )
						snake_case_		:							Union[str, Any]			       =						parent[s]

				max_flow += path_flow
				snake_case_		:							Dict			       =						sink

				while v != source:
						snake_case_		:							Optional[int]			       =						parent[v]
						graph[u][v] -= path_flow
						graph[v][u] += path_flow
						snake_case_		:							Any			       =						parent[v]
		return max_flow


__A	:	Union[str, Any]     =     [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

__A,   __A	:	Union[str, Any]     =     0, 5






print(ford_fulkerson(graph, source, sink))