"""simple docstring"""






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     UpperCAmelCase						(_UpperCAmelCase    ,unittest.TestCase  ):



    """simple docstring"""

    _UpperCAmelCase	:Union[str, Any]						    = PerceiverTokenizer
    _UpperCAmelCase	:Dict						    = False






    def _snake_case			(   self							):
       super().setUp()
       lowercase__:   Any					=      PerceiverTokenizer()
       tokenizer.save_pretrained(self.tmpdirname							)






    @cached_property
    def _snake_case			(   self							):
       return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''							)






    def _snake_case			(   self    ,			**_UpperCAmelCase							):
       return self.tokenizer_class.from_pretrained(self.tmpdirname    ,			**_UpperCAmelCase							)






    def _snake_case			(   self    ,			_UpperCAmelCase    ,			_UpperCAmelCase=False    ,			_UpperCAmelCase=20    ,			_UpperCAmelCase=5							):
       # XXX The default common tokenizer tests assume that every ID is decodable on its own.
       # This assumption is invalid for Perceiver 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.

       lowercase__:   Any					=      []
       for i in range(len(_UpperCAmelCase							)							):
          try:
             lowercase__:   Optional[int]					=      tokenizer.decode([i]    ,			clean_up_tokenization_spaces=_UpperCAmelCase							)
          except UnicodeDecodeError:
             pass
          toks.append((i, tok)							)

       lowercase__:   int					=      list(filter(lambda _UpperCAmelCase							: re.match(r'''^[ a-zA-Z]+$'''    ,			t[1]							)    ,			_UpperCAmelCase							)							)
       lowercase__:   Tuple					=      list(filter(lambda _UpperCAmelCase							: [t[0]] == tokenizer.encode(t[1]    ,			add_special_tokens=_UpperCAmelCase							)    ,			_UpperCAmelCase							)							)
       if max_length is not None and len(_UpperCAmelCase							) > max_length:
          lowercase__:   str					=      toks[:max_length]
       if min_length is not None and len(_UpperCAmelCase							) < min_length and len(_UpperCAmelCase							) > 0:
          while len(_UpperCAmelCase							) < min_length:
             lowercase__:   List[Any]					=      toks + toks
        # toks_str = [t[1] for t in toks]
       lowercase__:   Dict					=      [t[0] for t in toks]

       # Ensure consistency
       lowercase__:   Any					=      tokenizer.decode(_UpperCAmelCase    ,			clean_up_tokenization_spaces=_UpperCAmelCase							)
       if " " not in output_txt and len(_UpperCAmelCase							) > 1:
          lowercase__:   Tuple					=      (
              tokenizer.decode([toks_ids[0]]    ,			clean_up_tokenization_spaces=_UpperCAmelCase							)
              + ''' '''
              + tokenizer.decode(toks_ids[1:]    ,			clean_up_tokenization_spaces=_UpperCAmelCase							)
          )
       if with_prefix_space:
          lowercase__:   Dict					=      ''' ''' + output_txt
       lowercase__:   Tuple					=      tokenizer.encode(_UpperCAmelCase    ,			add_special_tokens=_UpperCAmelCase							)
       return output_txt, output_ids






    def _snake_case			(   self							):
       lowercase__:   int					=      self.perceiver_tokenizer
       lowercase__:   Tuple					=      '''Unicode €.'''
       lowercase__:   Optional[int]					=      tokenizer(_UpperCAmelCase							)
       lowercase__:   List[str]					=      [4, 91, 116, 111, 105, 117, 106, 107, 38, 232, 136, 178, 52, 5]
       self.assertEqual(encoded['''input_ids''']    ,			_UpperCAmelCase							)

       # decoding
       lowercase__:   Optional[int]					=      tokenizer.decode(_UpperCAmelCase							)
       self.assertEqual(_UpperCAmelCase    ,			'''[CLS]Unicode €.[SEP]'''							)

       lowercase__:   List[Any]					=      tokenizer('''e è é ê ë'''							)
       lowercase__:   Optional[int]					=      [4, 107, 38, 201, 174, 38, 201, 175, 38, 201, 176, 38, 201, 177, 5]
       self.assertEqual(encoded['''input_ids''']    ,			_UpperCAmelCase							)
       # decoding
       lowercase__:   List[Any]					=      tokenizer.decode(_UpperCAmelCase							)
       self.assertEqual(_UpperCAmelCase    ,			'''[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 _snake_case			(   self							):
       lowercase__:   Union[str, Any]					=      self.perceiver_tokenizer
       lowercase__:   List[str]					=      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       # fmt: off
       lowercase__:   List[str]					=      [4, 71, 38, 114, 117, 116, 109, 38, 118, 103, 120, 103, 109, 120, 103, 118, 110, 38, 108, 117, 120, 38, 121, 123, 115, 115, 103, 120, 111, 128, 103, 122, 111, 117, 116, 52, 5, 0]
       # fmt: on
       lowercase__:   Union[str, Any]					=      tokenizer(_UpperCAmelCase    ,			padding=_UpperCAmelCase    ,			return_tensors=_UpperCAmelCase							)
       self.assertIsInstance(_UpperCAmelCase    ,			_UpperCAmelCase							)

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

       self.assertListEqual(_UpperCAmelCase    ,			_UpperCAmelCase							)

       self.assertEqual((2, 38)    ,			batch.input_ids.shape							)
       self.assertEqual((2, 38)    ,			batch.attention_mask.shape							)






    def _snake_case			(   self							):
       lowercase__:   Optional[int]					=      self.perceiver_tokenizer
       lowercase__:   int					=      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       lowercase__:   List[str]					=      tokenizer(_UpperCAmelCase    ,			padding=_UpperCAmelCase    ,			return_tensors=_UpperCAmelCase							)
       # check if input_ids are returned and no decoder_input_ids
       self.assertIn('''input_ids'''    ,			_UpperCAmelCase							)
       self.assertIn('''attention_mask'''    ,			_UpperCAmelCase							)
       self.assertNotIn('''decoder_input_ids'''    ,			_UpperCAmelCase							)
       self.assertNotIn('''decoder_attention_mask'''    ,			_UpperCAmelCase							)






    def _snake_case			(   self							):
       lowercase__:   Optional[Any]					=      self.perceiver_tokenizer
       lowercase__:   Tuple					=      [
           '''Summary of the text.''',
           '''Another summary.''',
       ]
       lowercase__:   List[Any]					=      tokenizer(
           text_target=_UpperCAmelCase    ,			max_length=32    ,			padding='''max_length'''    ,			truncation=_UpperCAmelCase    ,			return_tensors=_UpperCAmelCase							)
       self.assertEqual(32    ,			targets['''input_ids'''].shape[1]							)






    def _snake_case			(   self							):
       # safety check on max_len default value so we are sure the test works
       lowercase__:   Union[str, Any]					=      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__:   Optional[int]					=      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__:   Dict					=      tempfile.mkdtemp()

             lowercase__:   Dict					=      ''' He is very happy, UNwant\u00E9d,running'''
             lowercase__:   List[str]					=      tokenizer.encode(_UpperCAmelCase    ,			add_special_tokens=_UpperCAmelCase							)
             tokenizer.save_pretrained(_UpperCAmelCase							)

             lowercase__:   Dict					=      tokenizer.__class__.from_pretrained(_UpperCAmelCase							)
             lowercase__:   Union[str, Any]					=      after_tokenizer.encode(_UpperCAmelCase    ,			add_special_tokens=_UpperCAmelCase							)
             self.assertListEqual(_UpperCAmelCase    ,			_UpperCAmelCase							)

             shutil.rmtree(_UpperCAmelCase							)

       lowercase__:   Optional[Any]					=      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__:   str					=      tempfile.mkdtemp()

             lowercase__:   Tuple					=      ''' He is very happy, UNwant\u00E9d,running'''
             tokenizer.add_tokens(['''bim''', '''bambam''']							)
             lowercase__:   Dict					=      tokenizer.additional_special_tokens
             additional_special_tokens.append('''new_additional_special_token'''							)
             tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}							)
             lowercase__:   Optional[int]					=      tokenizer.encode(_UpperCAmelCase    ,			add_special_tokens=_UpperCAmelCase							)
             tokenizer.save_pretrained(_UpperCAmelCase							)

             lowercase__:   Tuple					=      tokenizer.__class__.from_pretrained(_UpperCAmelCase							)
             lowercase__:   Union[str, Any]					=      after_tokenizer.encode(_UpperCAmelCase    ,			add_special_tokens=_UpperCAmelCase							)
             self.assertListEqual(_UpperCAmelCase    ,			_UpperCAmelCase							)
             self.assertIn('''new_additional_special_token'''    ,			after_tokenizer.additional_special_tokens							)
             self.assertEqual(after_tokenizer.model_max_length    ,			42							)

             lowercase__:   List[str]					=      tokenizer.__class__.from_pretrained(_UpperCAmelCase    ,			model_max_length=43							)
             self.assertEqual(tokenizer.model_max_length    ,			43							)

             shutil.rmtree(_UpperCAmelCase							)






    def _snake_case			(   self							):
       lowercase__:   List[str]					=      []
       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__:   List[str]					=      json.load(_UpperCAmelCase							)

             with open(os.path.join(_UpperCAmelCase    ,			'''tokenizer_config.json'''							)    ,			encoding='''utf-8'''							) as json_file:
                lowercase__:   List[str]					=      json.load(_UpperCAmelCase							)

             lowercase__:   Union[str, Any]					=      [F"""<extra_id_{i}>""" for i in range(125							)]

             lowercase__:   Optional[Any]					=      added_tokens_extra_ids + [
                 '''an_additional_special_token'''
             ]
             lowercase__:   Optional[int]					=      added_tokens_extra_ids + [
                 '''an_additional_special_token'''
             ]

             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__:   Dict					=      tokenizer_class.from_pretrained(
                 _UpperCAmelCase    ,			)
             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
             lowercase__:   Optional[Any]					=      added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''    ,			lstrip=_UpperCAmelCase							)]
             lowercase__:   str					=      tokenizer_class.from_pretrained(
                 _UpperCAmelCase    ,			additional_special_tokens=_UpperCAmelCase    ,			)

             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 _snake_case			(   self							):
       lowercase__:   List[Any]					=      self.perceiver_tokenizer
       self.assertEqual(tokenizer.decode([178]							)    ,			'''�'''							)






    def _snake_case			(   self							):
       pass






    def _snake_case			(   self							):
       pass






    def _snake_case			(   self							):
       pass






    def _snake_case			(   self							):
       pass






    def _snake_case			(   self							):
       # The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
       # strings and special added tokens as tokens
       lowercase__:   Any					=      self.get_tokenizers(fast=_UpperCAmelCase    ,			do_lower_case=_UpperCAmelCase							)
       for tokenizer in tokenizers:
          with self.subTest(F"""{tokenizer.__class__.__name__}"""							):
             lowercase__:   Union[str, Any]					=      ['''[CLS]''', '''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''s''', '''t''', '''[SEP]''']
             lowercase__:   List[Any]					=      tokenizer.convert_tokens_to_string(_UpperCAmelCase							)

             self.assertIsInstance(_UpperCAmelCase    ,			_UpperCAmelCase							)

"""simple docstring"""






from collections.abc import Sequence



def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase       ,    __UpperCAmelCase = False )  ->  float:
   if not arr:
      return 0

   lowercase__:   Any					=      0 if allow_empty_subarrays else float('''-inf''' )
   lowercase__:   Union[str, Any]					=      0.0
   for num in arr:
      lowercase__:   List[str]					=      max(0 if allow_empty_subarrays else num       ,    curr_sum + num )
      lowercase__:   int					=      max(__UpperCAmelCase       ,    __UpperCAmelCase )

   return max_sum


if __name__ == "__main__":
       from doctest import testmod

       testmod()

       __A			   = [-2, 1, -3, 4, -1, 2, 1, -5, 4]
       print(f'''{max_subarray_sum(nums) = }''')
