




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_					(				A  ,						unittest.TestCase     ):


   """simple docstring"""

   lowerCamelCase_       						=		HerbertTokenizer
   lowerCamelCase_       						=		HerbertTokenizerFast
   lowerCamelCase_       						=		True



   def 							lowerCAmelCase_    (					self      :			Any					):

      """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:
         _SCREAMING_SNAKE_CASE =   f_data.read().replace("\n\n"						,   "\n"					).strip()

      _SCREAMING_SNAKE_CASE =   [
          "<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>",
      ]
      _SCREAMING_SNAKE_CASE =   dict(zip(__lowerCamelCase						,   range(len(__lowerCamelCase					)					)					)					)
      _SCREAMING_SNAKE_CASE =   ["l o 123", "lo w 1456", "e r</w> 1789", ""]

      _SCREAMING_SNAKE_CASE =   os.path.join(self.tmpdirname						,   VOCAB_FILES_NAMES["vocab_file"]					)
      _SCREAMING_SNAKE_CASE =   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 							lowerCAmelCase_    (					self      :			Optional[int]						,   __lowerCamelCase      :			Tuple					):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE =   "lower newer"
      _SCREAMING_SNAKE_CASE =   "lower newer"
      return input_text, output_text



   def 							lowerCAmelCase_    (					self      :			List[Any]					):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE =   self.tokenizer_class(vocab_file=self.vocab_file						,   merges_file=self.merges_file					)

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

      _SCREAMING_SNAKE_CASE =   tokens + ["<unk>"]
      _SCREAMING_SNAKE_CASE =   [1_6, 1_7, 2_3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase					)						,   __lowerCamelCase					)



   def 							lowerCAmelCase_    (					self      :			Dict					):

      """simple docstring"""
      if not self.test_rust_tokenizer:
         return

      _SCREAMING_SNAKE_CASE =   self.get_tokenizer()
      _SCREAMING_SNAKE_CASE =   self.get_rust_tokenizer()

      _SCREAMING_SNAKE_CASE =   "lower,newer"

      _SCREAMING_SNAKE_CASE =   tokenizer.tokenize(__lowerCamelCase					)
      _SCREAMING_SNAKE_CASE =   rust_tokenizer.tokenize(__lowerCamelCase					)
      self.assertListEqual(__lowerCamelCase						,   __lowerCamelCase					)

      _SCREAMING_SNAKE_CASE =   tokenizer.encode(__lowerCamelCase						,   add_special_tokens=__lowerCamelCase					)
      _SCREAMING_SNAKE_CASE =   rust_tokenizer.encode(__lowerCamelCase						,   add_special_tokens=__lowerCamelCase					)
      self.assertListEqual(__lowerCamelCase						,   __lowerCamelCase					)

      _SCREAMING_SNAKE_CASE =   self.get_rust_tokenizer()
      _SCREAMING_SNAKE_CASE =   tokenizer.encode(__lowerCamelCase					)
      _SCREAMING_SNAKE_CASE =   rust_tokenizer.encode(__lowerCamelCase					)
      self.assertListEqual(__lowerCamelCase						,   __lowerCamelCase					)



   @slow
   def 							lowerCAmelCase_    (					self      :			int					):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE =   self.tokenizer_class.from_pretrained("allegro/herbert-base-cased"					)

      _SCREAMING_SNAKE_CASE =   tokenizer.encode("konstruowanie sekwencji"						,   add_special_tokens=__lowerCamelCase					)
      _SCREAMING_SNAKE_CASE =   tokenizer.encode("konstruowanie wielu sekwencji"						,   add_special_tokens=__lowerCamelCase					)

      _SCREAMING_SNAKE_CASE =   tokenizer.build_inputs_with_special_tokens(__lowerCamelCase					)
      _SCREAMING_SNAKE_CASE =   tokenizer.build_inputs_with_special_tokens(__lowerCamelCase						,   __lowerCamelCase					)

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







'''simple docstring'''



lowerCamelCase_	 =		(1, 1_53, 3_70, 3_71, 16_34, 24_67_80_51, 1_15_13_22_19_01_87_63_99_25_65_09_55_97_97_39_71_52_24_01)
lowerCamelCase_	 =		(-1_53, -1, 0, 1.2, 2_00, "A", [], {}, None)
def 				SCREAMING_SNAKE_CASE_				(							__A       :				int						)				->				bool:
   if not isinstance(__A ,  __A						) or n < 1:
      return False

   # Initialization of sum and number of digits.
   _SCREAMING_SNAKE_CASE =   0
   _SCREAMING_SNAKE_CASE =   0
   _SCREAMING_SNAKE_CASE =   n
   # Calculation of digits of the number
   while temp > 0:
      number_of_digits += 1
      temp //= 10
   # Dividing number into separate digits and find Armstrong number
   _SCREAMING_SNAKE_CASE =   n
   while temp > 0:
      _SCREAMING_SNAKE_CASE =   temp % 10
      total += rem**number_of_digits
      temp //= 10
   return n == total
def 				SCREAMING_SNAKE_CASE_				(							__A       :				int						)				->				bool:
   if not isinstance(__A ,  __A						) or n < 1:
      return False

   # Init a "histogram" of the digits
   _SCREAMING_SNAKE_CASE =   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
   _SCREAMING_SNAKE_CASE =   0
   _SCREAMING_SNAKE_CASE =   0
   _SCREAMING_SNAKE_CASE =   n
   while temp > 0:
      _SCREAMING_SNAKE_CASE, _SCREAMING_SNAKE_CASE =   divmod(__A ,  10						)
      digit_histogram[rem] += 1
      digit_total += 1

   for cnt, i in zip(__A ,  range(len(__A						)						)						):
      total += cnt * i**digit_total

   return n == total
def 				SCREAMING_SNAKE_CASE_				(							__A       :				int						)				->				bool:
   if not isinstance(__A ,  __A						) or n < 1:
      return False
   _SCREAMING_SNAKE_CASE =   len(str(__A						)						)  # the power that all digits will be raised to
   # check if sum of each digit multiplied expo times is equal to number
   return n == sum(int(__A						) ** expo for i in str(__A						)						)
def 				SCREAMING_SNAKE_CASE_				(							)				->				Optional[Any]:
   _SCREAMING_SNAKE_CASE =   int(input("Enter an integer to see if it is an Armstrong number: "						).strip()						)
   print(f"""{num} is {"" if armstrong_number(__A						) else "not "}an Armstrong number."""						)
   print(f"""{num} is {"" if narcissistic_number(__A						) else "not "}an Armstrong number."""						)
   print(f"""{num} is {"" if pluperfect_number(__A						) else "not "}an Armstrong number."""						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()

