



import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 		_lowercase		(							UpperCAmelCase__, unittest.TestCase						):
   _UpperCAmelCase  						=      HerbertTokenizer
   _UpperCAmelCase  						=      HerbertTokenizerFast
   _UpperCAmelCase  						=      True

   def 		A				(   self      :							Any				)							->					List[str]:


    """simple docstring"""






    super().setUp()

    # Use a simpler test file without japanese/chinese characters
    with open(f"""{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"""				, encoding="utf-8"				) as f_data:
     a							=		f_data.read().replace("\n\n"				, "\n"				).strip()

    a							=		[
        "<s>",
        "</s>",
        "l",
        "o",
        "w",
        "e",
        "r",
        "s",
        "t",
        "i",
        "d",
        "n",
        "w</w>",
        "r</w>",
        "t</w>",
        "lo",
        "low",
        "er</w>",
        "low</w>",
        "lowest</w>",
        "newer</w>",
        "wider</w>",
        ",</w>",
        "<unk>",
    ]
    a							=		dict(zip(__lowerCAmelCase				, range(len(__lowerCAmelCase				)				)				)				)
    a							=		["l o 123", "lo w 1456", "e r</w> 1789", ""]

    a							=		os.path.join(self.tmpdirname				, VOCAB_FILES_NAMES["vocab_file"]				)
    a							=		os.path.join(self.tmpdirname				, VOCAB_FILES_NAMES["merges_file"]				)
    with open(self.vocab_file				, "w"				) as fp:
     fp.write(json.dumps(__lowerCAmelCase				)				)
    with open(self.merges_file				, "w"				) as fp:
     fp.write("\n".join(__lowerCAmelCase				)				)

   def 		A				(   self      :							Optional[Any]				, __lowerCAmelCase      :							Union[str, Any]				)							->					int:


    """simple docstring"""






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

   def 		A				(   self      :							Tuple				)							->					int:


    """simple docstring"""






    a							=		self.tokenizer_class(vocab_file=self.vocab_file				, merges_file=self.merges_file				)

    a							=		"lower"
    a							=		["low", "er</w>"]
    a							=		tokenizer.tokenize(__lowerCAmelCase				)
    self.assertListEqual(__lowerCAmelCase				, __lowerCAmelCase				)

    a							=		tokens + ["<unk>"]
    a							=		[16, 17, 23]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase				)				, __lowerCAmelCase				)

   def 		A				(   self      :							Optional[Any]				)							->					List[str]:


    """simple docstring"""






    if not self.test_rust_tokenizer:
     return

    a							=		self.get_tokenizer()
    a							=		self.get_rust_tokenizer()

    a							=		"lower,newer"

    a							=		tokenizer.tokenize(__lowerCAmelCase				)
    a							=		rust_tokenizer.tokenize(__lowerCAmelCase				)
    self.assertListEqual(__lowerCAmelCase				, __lowerCAmelCase				)

    a							=		tokenizer.encode(__lowerCAmelCase				, add_special_tokens=__lowerCAmelCase				)
    a							=		rust_tokenizer.encode(__lowerCAmelCase				, add_special_tokens=__lowerCAmelCase				)
    self.assertListEqual(__lowerCAmelCase				, __lowerCAmelCase				)

    a							=		self.get_rust_tokenizer()
    a							=		tokenizer.encode(__lowerCAmelCase				)
    a							=		rust_tokenizer.encode(__lowerCAmelCase				)
    self.assertListEqual(__lowerCAmelCase				, __lowerCAmelCase				)




   @slow
   def 		A				(   self      :							Union[str, Any]				)							->					Union[str, Any]:


    """simple docstring"""






    a							=		self.tokenizer_class.from_pretrained("allegro/herbert-base-cased"				)

    a							=		tokenizer.encode("konstruowanie sekwencji"				, add_special_tokens=__lowerCAmelCase				)
    a							=		tokenizer.encode("konstruowanie wielu sekwencji"				, add_special_tokens=__lowerCAmelCase				)

    a							=		tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase				)
    a							=		tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase				, __lowerCAmelCase				)

    assert encoded_sentence == [0] + text + [2]
    assert encoded_pair == [0] + text + [2] + text_a + [2]







from collections import Counter




def  a_		(							__snake_case					)	->			int:

			'''simple docstring'''


			return sum(socks_by_color // 2 for socks_by_color in Counter(__snake_case					).values()					)


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				__a			:	List[Any]							     =		[int(x) for x in input("""Enter socks by color :""").rstrip().split()]
				print(f"""sock_merchant({colors}) = {sock_merchant(colors)}""")
