




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():
		lowercase__				:     List[Any] 		=						"pt"
elif is_tf_available():
		lowercase__				:     Union[str, Any] 		=						"tf"
else:
		lowercase__				:     Union[str, Any] 		=						"jax"
class 		UpperCAmelCase   (				_UpperCAmelCase       ,   unittest.TestCase			):







						'''simple docstring'''





						lowerCAmelCase_     		=   ByTaTokenizer
						lowerCAmelCase_     		=   False






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							super().setUp()
							snake_case_		    =     ByTaTokenizer()
							tokenizer.save_pretrained(self.tmpdirname						)






						@cached_property
						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							return ByTaTokenizer.from_pretrained("google/byt5-small"						)






						def        snake_case__						(						self							:     List[Any]       ,	**__lowercase							:     Tuple						):






							"""simple docstring"""






							return self.tokenizer_class.from_pretrained(self.tmpdirname       ,	**lowercase_						)






						def        snake_case__						(						self							:     Tuple       ,	__lowercase							:     List[str]       ,	__lowercase							:     List[Any]=False       ,	__lowercase							:     Optional[int]=20       ,	__lowercase							:     Dict=5						):






							"""simple docstring"""






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

							snake_case_		    =     list(filter(lambda __lowercase						: re.match(r"^[ a-zA-Z]+$"       ,	t[1]						)       ,	lowercase_						)						)
							snake_case_		    =     list(filter(lambda __lowercase						: [t[0]] == tokenizer.encode(t[1]       ,	add_special_tokens=lowercase_						)       ,	lowercase_						)						)
							if max_length is not None and len(lowercase_						) > max_length:
								snake_case_		    =     toks[:max_length]
							if min_length is not None and len(lowercase_						) < min_length and len(lowercase_						) > 0:
								while len(lowercase_						) < min_length:
									snake_case_		    =     toks + toks
        # toks_str = [t[1] for t in toks]
							snake_case_		    =     [t[0] for t in toks]

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






						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							snake_case_		    =     self.ta_base_tokenizer
							snake_case_		    =     tokenizer(["hi</s>", "I went to the gym</s>", "</s>"]						)
							snake_case_		    =     tokenizer(["hi", "I went to the gym", ""]						)
							self.assertListEqual(batch_with_eos_added["input_ids"]       ,	batch_without_eos_added["input_ids"]						)






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






							"""simple docstring"""






							snake_case_		    =     self.ta_base_tokenizer
							snake_case_		    =     "Unicode €."
							snake_case_		    =     tokenizer(lowercase_						)
							snake_case_		    =     [88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
							self.assertEqual(encoded["input_ids"]       ,	lowercase_						)

							# decoding
							snake_case_		    =     tokenizer.decode(lowercase_						)
							self.assertEqual(lowercase_       ,	"Unicode €.</s>"						)

							snake_case_		    =     tokenizer("e è é ê ë"						)
							snake_case_		    =     [1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
							self.assertEqual(encoded["input_ids"]       ,	lowercase_						)
							# decoding
							snake_case_		    =     tokenizer.decode(lowercase_						)
							self.assertEqual(lowercase_       ,	"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        snake_case__						(						self							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.ta_base_tokenizer
							snake_case_		    =     ["A long paragraph for summarization.", "Another paragraph for summarization."]
							# fmt: off
							snake_case_		    =     [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 0]
							# fmt: on
							snake_case_		    =     tokenizer(lowercase_       ,	padding=lowercase_       ,	return_tensors=lowercase_						)
							self.assertIsInstance(lowercase_       ,	lowercase_						)

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

							self.assertListEqual(lowercase_       ,	lowercase_						)

							self.assertEqual((2, 37)       ,	batch.input_ids.shape						)
							self.assertEqual((2, 37)       ,	batch.attention_mask.shape						)






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     self.ta_base_tokenizer
							snake_case_		    =     ["A long paragraph for summarization.", "Another paragraph for summarization."]
							snake_case_		    =     tokenizer(lowercase_       ,	padding=lowercase_       ,	return_tensors=lowercase_						)
							# check if input_ids are returned and no decoder_input_ids
							self.assertIn("input_ids"       ,	lowercase_						)
							self.assertIn("attention_mask"       ,	lowercase_						)
							self.assertNotIn("decoder_input_ids"       ,	lowercase_						)
							self.assertNotIn("decoder_attention_mask"       ,	lowercase_						)






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     self.ta_base_tokenizer
							snake_case_		    =     [
							    "Summary of the text.",
							    "Another summary.",
							]
							snake_case_		    =     tokenizer(
							    text_target=lowercase_       ,	max_length=32       ,	padding="max_length"       ,	truncation=lowercase_       ,	return_tensors=lowercase_						)
							self.assertEqual(32       ,	targets["input_ids"].shape[1]						)






						def        snake_case__						(						self							:     str						):






							"""simple docstring"""






							snake_case_		    =     self.ta_base_tokenizer
							snake_case_		    =     ["A long paragraph for summarization. </s>"]
							snake_case_		    =     ["Summary of the text. </s>"]
							# fmt: off
							snake_case_		    =     [68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
							snake_case_		    =     [86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
							# fmt: on

							snake_case_		    =     tokenizer(lowercase_       ,	text_target=lowercase_						)

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






						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							snake_case_		    =     self.get_tokenizers()
							for tokenizer in tokenizers:
								with self.subTest(f"{tokenizer.__class__.__name__}"						):
									self.assertNotEqual(tokenizer.model_max_length       ,	42						)

        # Now let's start the test
							snake_case_		    =     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_		    =     tempfile.mkdtemp()

									snake_case_		    =     " He is very happy, UNwant\u00E9d,running"
									snake_case_		    =     tokenizer.encode(lowercase_       ,	add_special_tokens=lowercase_						)
									tokenizer.save_pretrained(lowercase_						)

									snake_case_		    =     tokenizer.__class__.from_pretrained(lowercase_						)
									snake_case_		    =     after_tokenizer.encode(lowercase_       ,	add_special_tokens=lowercase_						)
									self.assertListEqual(lowercase_       ,	lowercase_						)

									shutil.rmtree(lowercase_						)

							snake_case_		    =     self.get_tokenizers(model_max_length=42						)
							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_		    =     tempfile.mkdtemp()

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

									snake_case_		    =     tokenizer.__class__.from_pretrained(lowercase_						)
									snake_case_		    =     after_tokenizer.encode(lowercase_       ,	add_special_tokens=lowercase_						)
									self.assertListEqual(lowercase_       ,	lowercase_						)
									self.assertIn("new_additional_special_token"       ,	after_tokenizer.additional_special_tokens						)
									self.assertEqual(after_tokenizer.model_max_length       ,	42						)

									snake_case_		    =     tokenizer.__class__.from_pretrained(lowercase_       ,	model_max_length=43						)
									self.assertEqual(tokenizer.model_max_length       ,	43						)

									shutil.rmtree(lowercase_						)






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     []
							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(lowercase_						)

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

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

									snake_case_		    =     [f"<extra_id_{i}>" for i in range(1_25						)]

									snake_case_		    =     added_tokens_extra_ids + [
									    "an_additional_special_token"
									]
									snake_case_		    =     added_tokens_extra_ids + [
									    "an_additional_special_token"
									]

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

									# 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_		    =     tokenizer_class.from_pretrained(
									    lowercase_       ,	)
									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_		    =     added_tokens_extra_ids + [AddedToken("a_new_additional_special_token"       ,	lstrip=lowercase_						)]
									snake_case_		    =     tokenizer_class.from_pretrained(
									    lowercase_       ,	additional_special_tokens=lowercase_       ,	)

									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        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							snake_case_		    =     []
							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(lowercase_						)

									snake_case_		    =     tokenizer_class.from_pretrained(lowercase_						)

									self.assertTrue(tokenizer.decode([2_55]						) == ""						)






						def        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							pass






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							pass






						def        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							pass






						def        snake_case__						(						self							:     Dict						):






							"""simple docstring"""






							pass






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     self.get_tokenizers(fast=lowercase_       ,	do_lower_case=lowercase_						)
							for tokenizer in tokenizers:
								with self.subTest(f"{tokenizer.__class__.__name__}"						):
									snake_case_		    =     ["t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "x", "t", "</s>"]
									snake_case_		    =     tokenizer.convert_tokens_to_string(lowercase_						)

									self.assertIsInstance(lowercase_       ,	lowercase_						)






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     self.get_tokenizers()
							for tokenizer in tokenizers:
								with self.subTest(f"{tokenizer.__class__.__name__}"						):
									snake_case_		    =     [
									    "bos_token",
									    "eos_token",
									    "unk_token",
									    "sep_token",
									    "pad_token",
									    "cls_token",
									    "mask_token",
									]

									snake_case_		    =     0
									snake_case_		    =     tokenizer.convert_ids_to_tokens(
									    lowercase_       ,	skip_special_tokens=lowercase_						)

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

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

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

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



class  A						:







    """simple docstring"""





    def __init__(      self :       Any,lowercase_ :       Tuple,lowercase_ :       Any,lowercase_ :       List[str]		)->    List[Any]:





        '''simple docstring'''







        A__          =   name
        A__          =   value
        A__          =   weight


    def __repr__(      self :       int		)->    Tuple:





        '''simple docstring'''







        return F'{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'


    def 						snake_case__     (      self :       Any		)->    str:





        '''simple docstring'''







        return self.value


    def 						snake_case__     (      self :       Any		)->    Tuple:





        '''simple docstring'''







        return self.name


    def 						snake_case__     (      self :       Any		)->    Dict:





        '''simple docstring'''







        return self.weight


    def 						snake_case__     (      self :       Union[str, Any]		)->    Optional[Any]:





        '''simple docstring'''







        return self.value / self.weight




def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Optional[Any]    ,			SCREAMING_SNAKE_CASE__			:	List[str]    ,			SCREAMING_SNAKE_CASE__			:	List[Any]      )							->      List[Any]:





    '''simple docstring'''






    A__          =   []
    for i in range(len(SCREAMING_SNAKE_CASE__      )      ):
        menu.append(Things(name[i]    ,			value[i]    ,			weight[i]      )      )
    return menu
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	Dict    ,			SCREAMING_SNAKE_CASE__			:	List[str]    ,			SCREAMING_SNAKE_CASE__			:	int      )							->      Any:





    '''simple docstring'''






    A__          =   sorted(SCREAMING_SNAKE_CASE__    ,			key=SCREAMING_SNAKE_CASE__    ,			reverse=SCREAMING_SNAKE_CASE__      )
    A__          =   []
    A__      ,						A__          =   0.0, 0.0
    for i in range(len(SCREAMING_SNAKE_CASE__      )      ):
        if (total_cost + items_copy[i].get_weight()) <= max_cost:
            result.append(items_copy[i]      )
            total_cost += items_copy[i].get_weight()
            total_value += items_copy[i].get_value()
    return (result, total_value)
def 						_snake_case(    )							->      Any:





    '''simple docstring'''








if __name__ == "__main__":
     import doctest

     doctest.testmod()

