


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

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

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
 __a     =			"""pt"""
elif is_tf_available():
 __a     =			"""tf"""
else:
 __a     =			"""jax"""






class   __lowercase				(  __snake_case ,					unittest.TestCase  ):
      UpperCamelCase								=       PerceiverTokenizer
      UpperCamelCase								=       False





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






         """simple docstring"""







         super().setUp()
         UpperCAmelCase							=     PerceiverTokenizer()
         tokenizer.save_pretrained(self.tmpdirname       )





      @cached_property
      def        _lowercase				(		self						:					Union[str, Any]       )    ->   int:






         """simple docstring"""







         return PerceiverTokenizer.from_pretrained("""deepmind/language-perceiver"""       )





      def        _lowercase				(		self						:					Any					,       **__lowerCamelCase						:					List[str]       )    ->   PerceiverTokenizer:






         """simple docstring"""







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





      def        _lowercase				(		self						:					str					,       __lowerCamelCase						:					List[str]					,       __lowerCamelCase						:					Optional[int]=False					,       __lowerCamelCase						:					Dict=2_0					,       __lowerCamelCase						:					Tuple=5       )    ->   Tuple[str, list]:






         """simple docstring"""







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

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

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





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






         """simple docstring"""







         UpperCAmelCase							=     self.perceiver_tokenizer
         UpperCAmelCase							=     """Unicode €."""
         UpperCAmelCase							=     tokenizer(__lowerCamelCase       )
         UpperCAmelCase							=     [4, 9_1, 1_1_6, 1_1_1, 1_0_5, 1_1_7, 1_0_6, 1_0_7, 3_8, 2_3_2, 1_3_6, 1_7_8, 5_2, 5]
         self.assertEqual(encoded["""input_ids"""]					,       __lowerCamelCase       )

         # decoding
         UpperCAmelCase							=     tokenizer.decode(__lowerCamelCase       )
         self.assertEqual(__lowerCamelCase					,       """[CLS]Unicode €.[SEP]"""       )

         UpperCAmelCase							=     tokenizer("""e è é ê ë"""       )
         UpperCAmelCase							=     [4, 1_0_7, 3_8, 2_0_1, 1_7_4, 3_8, 2_0_1, 1_7_5, 3_8, 2_0_1, 1_7_6, 3_8, 2_0_1, 1_7_7, 5]
         self.assertEqual(encoded["""input_ids"""]					,       __lowerCamelCase       )
         # decoding
         UpperCAmelCase							=     tokenizer.decode(__lowerCamelCase       )
         self.assertEqual(__lowerCamelCase					,       """[CLS]e è é ê ë[SEP]"""       )

         # encode/decode, but with `encode` instead of `__call__`
         self.assertEqual(tokenizer.decode(tokenizer.encode("""e è é ê ë"""       )       )					,       """[CLS]e è é ê ë[SEP]"""       )





      def        _lowercase				(		self						:					Optional[int]       )    ->   Optional[int]:






         """simple docstring"""







         UpperCAmelCase							=     self.perceiver_tokenizer
         UpperCAmelCase							=     ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
         # fmt: off
         UpperCAmelCase							=     [4, 7_1, 3_8, 1_1_4, 1_1_7, 1_1_6, 1_0_9, 3_8, 1_1_8, 1_0_3, 1_2_0, 1_0_3, 1_0_9, 1_2_0, 1_0_3, 1_1_8, 1_1_0, 3_8, 1_0_8, 1_1_7, 1_2_0, 3_8, 1_2_1, 1_2_3, 1_1_5, 1_1_5, 1_0_3, 1_2_0, 1_1_1, 1_2_8, 1_0_3, 1_2_2, 1_1_1, 1_1_7, 1_1_6, 5_2, 5, 0]
         # fmt: on
         UpperCAmelCase							=     tokenizer(__lowerCamelCase					,       padding=__lowerCamelCase					,       return_tensors=__lowerCamelCase       )
         self.assertIsInstance(__lowerCamelCase					,       __lowerCamelCase       )

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

         self.assertListEqual(__lowerCamelCase					,       __lowerCamelCase       )

         self.assertEqual((2, 3_8)					,       batch.input_ids.shape       )
         self.assertEqual((2, 3_8)					,       batch.attention_mask.shape       )





      def        _lowercase				(		self						:					List[str]       )    ->   Optional[int]:






         """simple docstring"""







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





      def        _lowercase				(		self						:					Tuple       )    ->   Optional[Any]:






         """simple docstring"""







         UpperCAmelCase							=     self.perceiver_tokenizer
         UpperCAmelCase							=     [
             """Summary of the text.""",
             """Another summary.""",
         ]
         UpperCAmelCase							=     tokenizer(
             text_target=__lowerCamelCase					,       max_length=3_2					,       padding="""max_length"""					,       truncation=__lowerCamelCase					,       return_tensors=__lowerCamelCase       )
         self.assertEqual(3_2					,       targets["""input_ids"""].shape[1]       )





      def        _lowercase				(		self						:					Tuple       )    ->   Dict:






         """simple docstring"""







         UpperCAmelCase							=     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
         UpperCAmelCase							=     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
               UpperCAmelCase							=     tempfile.mkdtemp()

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

               UpperCAmelCase							=     tokenizer.__class__.from_pretrained(__lowerCamelCase       )
               UpperCAmelCase							=     after_tokenizer.encode(__lowerCamelCase					,       add_special_tokens=__lowerCamelCase       )
               self.assertListEqual(__lowerCamelCase					,       __lowerCamelCase       )

               shutil.rmtree(__lowerCamelCase       )

         UpperCAmelCase							=     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
               UpperCAmelCase							=     tempfile.mkdtemp()

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

               UpperCAmelCase							=     tokenizer.__class__.from_pretrained(__lowerCamelCase       )
               UpperCAmelCase							=     after_tokenizer.encode(__lowerCamelCase					,       add_special_tokens=__lowerCamelCase       )
               self.assertListEqual(__lowerCamelCase					,       __lowerCamelCase       )
               self.assertIn("""new_additional_special_token"""					,       after_tokenizer.additional_special_tokens       )
               self.assertEqual(after_tokenizer.model_max_length					,       4_2       )

               UpperCAmelCase							=     tokenizer.__class__.from_pretrained(__lowerCamelCase					,       model_max_length=4_3       )
               self.assertEqual(tokenizer.model_max_length					,       4_3       )

               shutil.rmtree(__lowerCamelCase       )





      def        _lowercase				(		self						:					int       )    ->   Any:






         """simple docstring"""







         UpperCAmelCase							=     []
         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(__lowerCamelCase       )

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

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

               UpperCAmelCase							=     [F"""<extra_id_{i}>""" for i in range(1_2_5       )]

               UpperCAmelCase							=     added_tokens_extra_ids + [
                   """an_additional_special_token"""
               ]
               UpperCAmelCase							=     added_tokens_extra_ids + [
                   """an_additional_special_token"""
               ]

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

               # 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
               UpperCAmelCase							=     tokenizer_class.from_pretrained(
                   __lowerCamelCase					,       )
               self.assertIn(
                   """an_additional_special_token"""					,       tokenizer_without_change_in_init.additional_special_tokens       )
               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
               UpperCAmelCase							=     added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""					,       lstrip=__lowerCamelCase       )]
               UpperCAmelCase							=     tokenizer_class.from_pretrained(
                   __lowerCamelCase					,       additional_special_tokens=__lowerCamelCase					,       )

               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        _lowercase				(		self						:					Dict       )    ->   Optional[int]:






         """simple docstring"""







         UpperCAmelCase							=     self.perceiver_tokenizer
         self.assertEqual(tokenizer.decode([1_7_8]       )					,       """�"""       )





      def        _lowercase				(		self						:					Optional[int]       )    ->   int:






         """simple docstring"""







         pass





      def        _lowercase				(		self						:					Tuple       )    ->   Any:






         """simple docstring"""







         pass





      def        _lowercase				(		self						:					Dict       )    ->   Tuple:






         """simple docstring"""







         pass





      def        _lowercase				(		self						:					int       )    ->   Optional[int]:






         """simple docstring"""







         pass





      def        _lowercase				(		self						:					int       )    ->   List[Any]:






         """simple docstring"""







         UpperCAmelCase							=     self.get_tokenizers(fast=__lowerCamelCase					,       do_lower_case=__lowerCamelCase       )
         for tokenizer in tokenizers:
            with self.subTest(F"""{tokenizer.__class__.__name__}"""       ):
               UpperCAmelCase							=     ["""[CLS]""", """t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """s""", """t""", """[SEP]"""]
               UpperCAmelCase							=     tokenizer.convert_tokens_to_string(__lowerCamelCase       )

               self.assertIsInstance(__lowerCamelCase					,       __lowerCamelCase       )







from __future__ import annotations

from collections.abc import Sequence
from typing import Literal
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->str | Literal[False]:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count += 1
         UpperCAmelCase							=     """_"""
   if count > 1:
      return False
   else:
      return "".join(lowerCAmelCase_   )
def   _UpperCamelCase				(						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   while True:
      UpperCAmelCase							=     ["""$"""] * len(lowerCAmelCase_   )
      UpperCAmelCase							=     []
      for i in range(len(lowerCAmelCase_   )   ):
         for j in range(i + 1  ,						len(lowerCAmelCase_   )   ):
            UpperCAmelCase							=     compare_string(binary[i]  ,						binary[j]   )
            if k is False:
               UpperCAmelCase							=     """*"""
               UpperCAmelCase							=     """*"""
               temp.append("""X"""   )
      for i in range(len(lowerCAmelCase_   )   ):
         if checka[i] == "$":
            pi.append(binary[i]   )
      if len(lowerCAmelCase_   ) == 0:
         return pi
      UpperCAmelCase							=     list(set(lowerCAmelCase_   )   )
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   for minterm in minterms:
      UpperCAmelCase							=     """"""
      for _ in range(lowerCAmelCase_   ):
         UpperCAmelCase							=     str(minterm % 2   ) + string
         minterm //= 2
      temp.append(lowerCAmelCase_   )
   return temp
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )						->bool:
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     list(lowerCAmelCase_   )
   UpperCAmelCase							=     0
   for i in range(len(lowerCAmelCase_   )   ):
      if lista[i] != lista[i]:
         count_n += 1
   return count_n == count
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[str]:
   UpperCAmelCase							=     []
   UpperCAmelCase							=     [0] * len(lowerCAmelCase_   )
   for i in range(len(chart[0]   )   ):
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      for j in range(len(lowerCAmelCase_   )   ):
         if chart[j][i] == 1:
            count += 1
            UpperCAmelCase							=     j
      if count == 1:
         UpperCAmelCase							=     1
   for i in range(len(lowerCAmelCase_   )   ):
      if select[i] == 1:
         for j in range(len(chart[0]   )   ):
            if chart[i][j] == 1:
               for k in range(len(lowerCAmelCase_   )   ):
                  UpperCAmelCase							=     0
         temp.append(prime_implicants[i]   )
   while True:
      UpperCAmelCase							=     0
      UpperCAmelCase							=     -1
      UpperCAmelCase							=     0
      for i in range(len(lowerCAmelCase_   )   ):
         UpperCAmelCase							=     chart[i].count(1   )
         if count_n > max_n:
            UpperCAmelCase							=     count_n
            UpperCAmelCase							=     i

      if max_n == 0:
         return temp

      temp.append(prime_implicants[rem]   )

      for i in range(len(chart[0]   )   ):
         if chart[rem][i] == 1:
            for j in range(len(lowerCAmelCase_   )   ):
               UpperCAmelCase							=     0
def   _UpperCamelCase				(						lowerCAmelCase_  ,						lowerCAmelCase_   )						->list[list[int]]:
   UpperCAmelCase							=     [[0 for x in range(len(lowerCAmelCase_   )   )] for x in range(len(lowerCAmelCase_   )   )]
   for i in range(len(lowerCAmelCase_   )   ):
      UpperCAmelCase							=     prime_implicants[i].count("""_"""   )
      for j in range(len(lowerCAmelCase_   )   ):
         if is_for_table(prime_implicants[i]  ,						binary[j]  ,						lowerCAmelCase_   ):
            UpperCAmelCase							=     1

   return chart
def   _UpperCamelCase				(						)						->None:
   UpperCAmelCase							=     int(input("""Enter the no. of variables\n"""   )   )
   UpperCAmelCase							=     [
       float(lowerCAmelCase_   )
       for x in input(
           """Enter the decimal representation of Minterms 'Spaces Separated'\n"""   ).split()
   ]
   UpperCAmelCase							=     decimal_to_binary(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     check(lowerCAmelCase_   )
   print("""Prime Implicants are:"""   )
   print(lowerCAmelCase_   )
   UpperCAmelCase							=     prime_implicant_chart(lowerCAmelCase_  ,						lowerCAmelCase_   )

   UpperCAmelCase							=     selection(lowerCAmelCase_  ,						lowerCAmelCase_   )
   print("""Essential Prime Implicants are:"""   )
   print(lowerCAmelCase_   )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()



