



'''simple docstring'''





import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


class 					snake_case			(UpperCamelCase		,   unittest.TestCase ):
       lowerCAmelCase__	:List[str]     =       CanineTokenizer
       lowerCAmelCase__	:Union[str, Any]     =       False



       def 				_a   (					self   )	->				Optional[Any]:
           super().setUp()
           lowercase__									=    CanineTokenizer()
           tokenizer.save_pretrained(self.tmpdirname   )



       @cached_property
       def 				_a   (					self   )	->				Tuple:
           return CanineTokenizer.from_pretrained("google/canine-s"   )



       def 				_a   (					self  ,**UpperCAmelCase_   )	->				CanineTokenizer:
           lowercase__									=    self.tokenizer_class.from_pretrained(self.tmpdirname  ,**UpperCAmelCase_   )
           lowercase__									=    1_024
           return tokenizer



       @require_torch
       def 				_a   (					self   )	->				Dict:
           lowercase__									=    self.canine_tokenizer
           lowercase__									=    ["Life is like a box of chocolates.", "You never know what you're gonna get."]
           # fmt: off
           lowercase__									=    [57_344, 76, 105, 102, 101, 32, 105, 115, 32, 108, 105, 107, 101, 32, 97, 32, 98, 111, 120, 32, 111, 102, 32, 99, 104, 111, 99, 111, 108, 97, 116, 101, 115, 46, 57_345, 0, 0, 0, 0]
           # fmt: on
           lowercase__									=    tokenizer(UpperCAmelCase_  ,padding=UpperCAmelCase_  ,return_tensors="pt"   )
           self.assertIsInstance(UpperCAmelCase_  ,UpperCAmelCase_   )

           lowercase__									=    list(batch.input_ids.numpy()[0]   )

           self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )

           self.assertEqual((2, 39)  ,batch.input_ids.shape   )
           self.assertEqual((2, 39)  ,batch.attention_mask.shape   )



       @require_torch
       def 				_a   (					self   )	->				int:
           lowercase__									=    self.canine_tokenizer
           lowercase__									=    ["Once there was a man.", "He wrote a test in HuggingFace Tranformers."]
           lowercase__									=    tokenizer(UpperCAmelCase_  ,padding=UpperCAmelCase_  ,return_tensors="pt"   )
           # check if input_ids, attention_mask and token_type_ids are returned
           self.assertIn("input_ids"  ,UpperCAmelCase_   )
           self.assertIn("attention_mask"  ,UpperCAmelCase_   )
           self.assertIn("token_type_ids"  ,UpperCAmelCase_   )



       @require_torch
       def 				_a   (					self   )	->				Optional[Any]:
           lowercase__									=    self.canine_tokenizer
           lowercase__									=    [
               "What's the weater?",
               "It's about 25 degrees.",
           ]
           lowercase__									=    tokenizer(
               text_target=UpperCAmelCase_  ,max_length=32  ,padding="max_length"  ,truncation=UpperCAmelCase_  ,return_tensors="pt"   )
           self.assertEqual(32  ,targets["input_ids"].shape[1]   )



       def 				_a   (					self   )	->				str:
           # safety check on max_len default value so we are sure the test works
           lowercase__									=    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
           lowercase__									=    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
                   lowercase__									=    tempfile.mkdtemp()

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

                   lowercase__									=    tokenizer.__class__.from_pretrained(UpperCAmelCase_   )
                   lowercase__									=    after_tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )

                   shutil.rmtree(UpperCAmelCase_   )

           lowercase__									=    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
                   lowercase__									=    tempfile.mkdtemp()

                   lowercase__									=    " He is very happy, UNwant\u00E9d,running"

                   lowercase__									=    tokenizer.additional_special_tokens

                   # We can add a new special token for Canine as follows:
                   lowercase__									=    chr(0Xe_0_0_7   )
                   additional_special_tokens.append(UpperCAmelCase_   )
                   tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}   )
                   lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   tokenizer.save_pretrained(UpperCAmelCase_   )

                   lowercase__									=    tokenizer.__class__.from_pretrained(UpperCAmelCase_   )
                   lowercase__									=    after_tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )
                   self.assertIn(UpperCAmelCase_  ,after_tokenizer.additional_special_tokens   )
                   self.assertEqual(after_tokenizer.model_max_length  ,42   )

                   lowercase__									=    tokenizer.__class__.from_pretrained(UpperCAmelCase_  ,model_max_length=43   )
                   self.assertEqual(tokenizer.model_max_length  ,43   )

                   shutil.rmtree(UpperCAmelCase_   )



       def 				_a   (					self   )	->				Union[str, Any]:
           lowercase__									=    self.get_tokenizers(do_lower_case=UpperCAmelCase_   )
           for tokenizer in tokenizers:
               with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   lowercase__							,							lowercase__									=    self.get_clean_sequence(UpperCAmelCase_   )

                   # a special token for Canine can be defined as follows:
                   lowercase__									=    0Xe_0_0_5
                   lowercase__									=    chr(UpperCAmelCase_   )

                   tokenizer.add_special_tokens({"cls_token": special_token}   )
                   lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   self.assertEqual(len(UpperCAmelCase_   )  ,1   )

                   lowercase__									=    tokenizer.decode(ids + encoded_special_token  ,clean_up_tokenization_spaces=UpperCAmelCase_   )
                   lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )

                   lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   self.assertEqual(UpperCAmelCase_  ,input_encoded + special_token_id   )

                   lowercase__									=    tokenizer.decode(UpperCAmelCase_  ,skip_special_tokens=UpperCAmelCase_   )
                   self.assertTrue(special_token not in decoded   )



       def 				_a   (					self   )	->				List[str]:
           lowercase__									=    self.get_tokenizers(do_lower_case=UpperCAmelCase_   )
           for tokenizer in tokenizers:
               with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   lowercase__									=    chr(0Xe_0_0_5   )
                   lowercase__									=    chr(0Xe_0_0_6   )

                   # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
                   tokenizer.add_tokens([SPECIAL_TOKEN_1]  ,special_tokens=UpperCAmelCase_   )
                   # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
                   # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
                   tokenizer.add_special_tokens({"additional_special_tokens": [SPECIAL_TOKEN_2]}   )

                   lowercase__									=    tokenizer.tokenize(UpperCAmelCase_   )
                   lowercase__									=    tokenizer.tokenize(UpperCAmelCase_   )

                   self.assertEqual(len(UpperCAmelCase_   )  ,1   )
                   self.assertEqual(len(UpperCAmelCase_   )  ,1   )
                   self.assertEqual(token_a[0]  ,UpperCAmelCase_   )
                   self.assertEqual(token_a[0]  ,UpperCAmelCase_   )



       @require_tokenizers
       def 				_a   (					self   )	->				int:
           lowercase__									=    self.get_tokenizers(do_lower_case=UpperCAmelCase_   )
           for tokenizer in tokenizers:
               with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   # a special token for Canine can be defined as follows:
                   lowercase__									=    0Xe_0_0_6
                   lowercase__									=    chr(UpperCAmelCase_   )

                   lowercase__									=    AddedToken(UpperCAmelCase_  ,lstrip=UpperCAmelCase_   )
                   tokenizer.add_special_tokens({"additional_special_tokens": [new_token]}   )

                   with tempfile.TemporaryDirectory() as tmp_dir_name:
                       tokenizer.save_pretrained(UpperCAmelCase_   )
                       tokenizer.from_pretrained(UpperCAmelCase_   )



       def 				_a   (					self   )	->				Union[str, Any]:
           lowercase__									=    []
           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(UpperCAmelCase_   )

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

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

                   # a special token for Canine can be defined as follows:
                   lowercase__									=    0Xe_0_0_6
                   lowercase__									=    chr(UpperCAmelCase_   )

                   lowercase__									=    [new_token_a]
                   lowercase__									=    [new_token_a]

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

                   # 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
                   lowercase__									=    tokenizer_class.from_pretrained(UpperCAmelCase_  ,extra_ids=0   )
                   self.assertIn(UpperCAmelCase_  ,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(
                       [new_token_a]  ,tokenizer_without_change_in_init.convert_ids_to_tokens(
                           tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]   )   )  ,)

                   lowercase__									=    0Xe_0_0_7
                   lowercase__									=    chr(UpperCAmelCase_   )
                   # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                   lowercase__									=    [AddedToken(UpperCAmelCase_  ,lstrip=UpperCAmelCase_   )]
                   lowercase__									=    tokenizer_class.from_pretrained(
                       UpperCAmelCase_  ,additional_special_tokens=UpperCAmelCase_  ,extra_ids=0   )

                   self.assertIn(UpperCAmelCase_  ,tokenizer.additional_special_tokens   )
                   # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
                   self.assertEqual(
                       [new_token_a]  ,tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]   )   )   )



       @require_tokenizers
       def 				_a   (					self   )	->				Union[str, Any]:
           lowercase__									=    self.get_tokenizers(do_lower_case=UpperCAmelCase_   )
           for tokenizer in tokenizers:
               with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   lowercase__									=    "hello world"
                   if self.space_between_special_tokens:
                       lowercase__									=    "[CLS] hello world [SEP]"
                   else:
                       lowercase__									=    input
                   lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
                   lowercase__									=    tokenizer.decode(UpperCAmelCase_  ,spaces_between_special_tokens=self.space_between_special_tokens   )
                   self.assertIn(UpperCAmelCase_  ,[output, output.lower()]   )



       def 				_a   (					self   )	->				Optional[int]:
           lowercase__									=    self.get_tokenizers()
           for tokenizer in tokenizers:
               with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
                   lowercase__									=    [
                       "bos_token",
                       "eos_token",
                       "unk_token",
                       "sep_token",
                       "pad_token",
                       "cls_token",
                       "mask_token",
                   ]

           lowercase__									=    "a"
           lowercase__									=    ord(UpperCAmelCase_   )

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

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

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

           lowercase__									=    0Xe_0_0_6
           lowercase__									=    chr(UpperCAmelCase_   )
           setattr(UpperCAmelCase_  ,"additional_special_tokens_ids"  ,[additional_special_token_id]   )
           self.assertListEqual(getattr(UpperCAmelCase_  ,"additional_special_tokens"   )  ,[additional_special_token]   )
           self.assertListEqual(getattr(UpperCAmelCase_  ,"additional_special_tokens_ids"   )  ,[additional_special_token_id]   )



       def 				_a   (					self   )	->				List[Any]:
           pass



       def 				_a   (					self   )	->				Union[str, Any]:
           pass



       def 				_a   (					self   )	->				Any:
           pass



       def 				_a   (					self   )	->				Optional[Any]:
           pass



       def 				_a   (					self   )	->				Dict:
           pass



       def 				_a   (					self   )	->				List[str]:
           pass



       def 				_a   (					self   )	->				str:
           pass







       def 				_a   (					self   )	->				List[Any]:
           pass









'''simple docstring'''





def 							lowerCamelCase	(					_snake_case	:    Optional[Any]  ,_snake_case	:    Union[str, Any]  ,_snake_case	:    Dict  ,_snake_case	:    List[str]  ,_snake_case	:    List[str]  ,_snake_case	:    List[str]							):





    '''simple docstring'''


    if index == r:
        for j in range(_snake_case							):
            print(data[j]  ,end=" "							)
        print(" "							)
        return
    #  When no more elements are there to put in data[]
    if i >= n:
        return
    # current is included, put next at next location
    lowercase__									=    arr[i]
    combination_util(_snake_case  ,_snake_case  ,_snake_case  ,index + 1  ,_snake_case  ,i + 1							)
    # current is excluded, replace it with
    # next (Note that i+1 is passed, but
    # index is not changed)
    combination_util(_snake_case  ,_snake_case  ,_snake_case  ,_snake_case  ,_snake_case  ,i + 1							)
    # The main function that prints all combinations
    # of size r in arr[] of size n. This function
    # mainly uses combinationUtil()




def 							lowerCamelCase	(					_snake_case	:    Optional[Any]  ,_snake_case	:    Tuple  ,_snake_case	:    Union[str, Any]							):





    '''simple docstring'''


    lowercase__									=    [0] * r
    # Print all combination using temporary array 'data[]'
    combination_util(_snake_case  ,_snake_case  ,_snake_case  ,0  ,_snake_case  ,0							)


if __name__ == "__main__":
 # Driver code to check the function above
 SCREAMING_SNAKE_CASE__          =  [10, 20, 30, 40, 50]
 print_combination(arr, len(arr), 3)
 # This code is contributed by Ambuj sahu




