





'''simple docstring'''




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():
    _A:					Union[str, Any]				=				"""pt"""
elif is_tf_available():
    _A:					str				=				"""tf"""
else:
    _A:					Dict				=				"""jax"""






class UpperCAmelCase							(		UpperCAmelCase_					,			unittest.TestCase							):
    _A :			str						   =       ByTaTokenizer
    _A :			Optional[int]						   =       False



    def 					__lowerCamelCase						(  self					):
     super().setUp()
     __UpperCAmelCase					=   ByTaTokenizer()
     tokenizer.save_pretrained(self.tmpdirname					)



    @cached_property
    def 					__lowerCamelCase						(  self					):
     return ByTaTokenizer.from_pretrained('google/byt5-small'					)



    def 					__lowerCamelCase						(  self     ,			**__A					):
     return self.tokenizer_class.from_pretrained(self.tmpdirname     ,			**__A					)



    def 					__lowerCamelCase						(  self     ,			__A     ,			__A=False     ,			__A=20     ,			__A=5					):
     # XXX The default common tokenizer tests assume that every ID is decodable on its own.
     # This assumption is invalid for ByT5 because single bytes might not be
     # valid utf-8 (byte 128 for instance).
     # Here we're overriding the smallest possible method to provide
     # a clean sequence without making the same assumption.

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

     __UpperCAmelCase					=   list(filter(lambda __A					: re.match(r'^[ a-zA-Z]+$'     ,			t[1]					)     ,			__A					)					)
     __UpperCAmelCase					=   list(filter(lambda __A					: [t[0]] == tokenizer.encode(t[1]     ,			add_special_tokens=__A					)     ,			__A					)					)
     if max_length is not None and len(__A					) > max_length:
      __UpperCAmelCase					=   toks[:max_length]
     if min_length is not None and len(__A					) < min_length and len(__A					) > 0:
      while len(__A					) < 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(__A     ,			clean_up_tokenization_spaces=__A					)
     if " " not in output_txt and len(__A					) > 1:
      __UpperCAmelCase					=   (
          tokenizer.decode([toks_ids[0]]     ,			clean_up_tokenization_spaces=__A					)
          + ' '
          + tokenizer.decode(toks_ids[1:]     ,			clean_up_tokenization_spaces=__A					)
      )
     if with_prefix_space:
      __UpperCAmelCase					=   ' ' + output_txt
     __UpperCAmelCase					=   tokenizer.encode(__A     ,			add_special_tokens=__A					)
     return output_txt, output_ids



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.ta_base_tokenizer
     __UpperCAmelCase					=   tokenizer(['hi</s>', 'I went to the gym</s>', '</s>']					)
     __UpperCAmelCase					=   tokenizer(['hi', 'I went to the gym', '']					)
     self.assertListEqual(batch_with_eos_added['input_ids']     ,			batch_without_eos_added['input_ids']					)



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.ta_base_tokenizer
     __UpperCAmelCase					=   'Unicode €.'
     __UpperCAmelCase					=   tokenizer(__A					)
     __UpperCAmelCase					=   [88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
     self.assertEqual(encoded['input_ids']     ,			__A					)

     # decoding
     __UpperCAmelCase					=   tokenizer.decode(__A					)
     self.assertEqual(__A     ,			'Unicode €.</s>'					)

     __UpperCAmelCase					=   tokenizer('e è é ê ë'					)
     __UpperCAmelCase					=   [104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
     self.assertEqual(encoded['input_ids']     ,			__A					)
     # decoding
     __UpperCAmelCase					=   tokenizer.decode(__A					)
     self.assertEqual(__A     ,			'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 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.ta_base_tokenizer
     __UpperCAmelCase					=   ['A long paragraph for summarization.', 'Another paragraph for summarization.']
     # fmt: off
     __UpperCAmelCase					=   [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
     # fmt: on
     __UpperCAmelCase					=   tokenizer(__A     ,			padding=__A     ,			return_tensors=__A					)
     self.assertIsInstance(__A     ,			__A					)

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

     self.assertListEqual(__A     ,			__A					)

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



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.ta_base_tokenizer
     __UpperCAmelCase					=   ['A long paragraph for summarization.', 'Another paragraph for summarization.']
     __UpperCAmelCase					=   tokenizer(__A     ,			padding=__A     ,			return_tensors=__A					)
     # check if input_ids are returned and no decoder_input_ids
     self.assertIn('input_ids'     ,			__A					)
     self.assertIn('attention_mask'     ,			__A					)
     self.assertNotIn('decoder_input_ids'     ,			__A					)
     self.assertNotIn('decoder_attention_mask'     ,			__A					)



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.ta_base_tokenizer
     __UpperCAmelCase					=   [
         'Summary of the text.',
         'Another summary.',
     ]
     __UpperCAmelCase					=   tokenizer(
         text_target=__A     ,			max_length=32     ,			padding='max_length'     ,			truncation=__A     ,			return_tensors=__A					)
     self.assertEqual(32     ,			targets['input_ids'].shape[1]					)



    def 					__lowerCamelCase						(  self					):
     __UpperCAmelCase					=   self.ta_base_tokenizer
     __UpperCAmelCase					=   ['A long paragraph for summarization. </s>']
     __UpperCAmelCase					=   ['Summary of the text. </s>']
     # fmt: off
     __UpperCAmelCase					=   [68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
     __UpperCAmelCase					=   [86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
     # fmt: on

     __UpperCAmelCase					=   tokenizer(__A     ,			text_target=__A					)

     self.assertEqual(__A     ,			batch['input_ids'][0]					)
     self.assertEqual(__A     ,			batch['labels'][0]					)



    def 					__lowerCamelCase						(  self					):
     # safety check on max_len default value so we are sure the test works
     __UpperCAmelCase					=   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
     __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(__A     ,			add_special_tokens=__A					)
       tokenizer.save_pretrained(__A					)

       __UpperCAmelCase					=   tokenizer.__class__.from_pretrained(__A					)
       __UpperCAmelCase					=   after_tokenizer.encode(__A     ,			add_special_tokens=__A					)
       self.assertListEqual(__A     ,			__A					)

       shutil.rmtree(__A					)

     __UpperCAmelCase					=   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
       __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(__A     ,			add_special_tokens=__A					)
       tokenizer.save_pretrained(__A					)

       __UpperCAmelCase					=   tokenizer.__class__.from_pretrained(__A					)
       __UpperCAmelCase					=   after_tokenizer.encode(__A     ,			add_special_tokens=__A					)
       self.assertListEqual(__A     ,			__A					)
       self.assertIn('new_additional_special_token'     ,			after_tokenizer.additional_special_tokens					)
       self.assertEqual(after_tokenizer.model_max_length     ,			42					)

       __UpperCAmelCase					=   tokenizer.__class__.from_pretrained(__A     ,			model_max_length=43					)
       self.assertEqual(tokenizer.model_max_length     ,			43					)

       shutil.rmtree(__A					)



    def 					__lowerCamelCase						(  self					):
     __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(__A					)

       with open(os.path.join(__A     ,			'special_tokens_map.json'					)     ,			encoding='utf-8'					) as json_file:
        __UpperCAmelCase					=   json.load(__A					)

       with open(os.path.join(__A     ,			'tokenizer_config.json'					)     ,			encoding='utf-8'					) as json_file:
        __UpperCAmelCase					=   json.load(__A					)

       __UpperCAmelCase					=   [f'<extra_id_{i}>' for i in range(125					)]

       __UpperCAmelCase					=   added_tokens_extra_ids + [
           'an_additional_special_token'
       ]
       __UpperCAmelCase					=   added_tokens_extra_ids + [
           'an_additional_special_token'
       ]

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

       # 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(
           __A     ,			)
       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
       __UpperCAmelCase					=   added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'     ,			lstrip=__A					)]
       __UpperCAmelCase					=   tokenizer_class.from_pretrained(
           __A     ,			additional_special_tokens=__A     ,			)

       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 					__lowerCamelCase						(  self					):
     __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(__A					)

       __UpperCAmelCase					=   tokenizer_class.from_pretrained(__A					)

       self.assertTrue(tokenizer.decode([255]					) == ''					)



    def 					__lowerCamelCase						(  self					):
     pass



    def 					__lowerCamelCase						(  self					):
     pass



    def 					__lowerCamelCase						(  self					):
     pass



    def 					__lowerCamelCase						(  self					):
     pass



    def 					__lowerCamelCase						(  self					):
     # The default common tokenizer tests uses invalid tokens for ByT5 that can only accept one-character strings
     # and special added tokens as tokens
     __UpperCAmelCase					=   self.get_tokenizers(fast=__A     ,			do_lower_case=__A					)
     for tokenizer in tokenizers:
      with self.subTest(f'{tokenizer.__class__.__name__}'					):
       __UpperCAmelCase					=   ['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
       __UpperCAmelCase					=   tokenizer.convert_tokens_to_string(__A					)

       self.assertIsInstance(__A     ,			__A					)




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

       __UpperCAmelCase					=   0
       __UpperCAmelCase					=   tokenizer.convert_ids_to_tokens(
           __A     ,			skip_special_tokens=__A					)

       for attr in attributes_list:
        setattr(__A     ,			attr + '_id'     ,			__A					)
        self.assertEqual(getattr(__A     ,			__A					)     ,			__A					)
        self.assertEqual(getattr(__A     ,			attr + '_id'					)     ,			__A					)

        setattr(__A     ,			attr + '_id'     ,			__A					)
        self.assertEqual(getattr(__A     ,			__A					)     ,			__A					)
        self.assertEqual(getattr(__A     ,			attr + '_id'					)     ,			__A					)

       setattr(__A     ,			'additional_special_tokens_ids'     ,			[]					)
       self.assertListEqual(getattr(__A     ,			'additional_special_tokens'					)     ,			[]					)
       self.assertListEqual(getattr(__A     ,			'additional_special_tokens_ids'					)     ,			[]					)

       setattr(__A     ,			'additional_special_tokens_ids'     ,			[token_id_to_test_setters]					)
       self.assertListEqual(getattr(__A     ,			'additional_special_tokens'					)     ,			[token_to_test_setters]					)
       self.assertListEqual(getattr(__A     ,			'additional_special_tokens_ids'					)     ,			[token_id_to_test_setters]					)












'''simple docstring'''




from __future__ import annotations

from collections.abc import Sequence
from typing import Literal







def _lowerCAmelCase     (      _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 _lowerCAmelCase     (      _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 _lowerCAmelCase     (      _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 _lowerCAmelCase     (      _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 _lowerCAmelCase     (      _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 _lowerCAmelCase     (      _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 _lowerCAmelCase     (      )->     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()





