





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 :   List[str]  			=  'pt'
elif is_tf_available():
       _A :   List[Any]  			=  'tf'
else:
       _A :   str  			=  'jax'


class        __SCREAMING_SNAKE_CASE      (			lowerCAmelCase_					,unittest.TestCase ):
       _UpperCAmelCase				:  List[Any]			   =   PerceiverTokenizer
       _UpperCAmelCase				:  Union[str, Any]			   =   False







       def 						__lowerCamelCase   (				self					:     str      )       ->Optional[Any]:
          super().setUp()
          lowerCamelCase__       :						Union[str, Any]        =							PerceiverTokenizer()
          tokenizer.save_pretrained(self.tmpdirname      )







       @cached_property
       def 						__lowerCamelCase   (				self					:     Optional[Any]      )       ->Optional[int]:
          return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''      )







       def 						__lowerCamelCase   (				self					:     Tuple		, **A					:     Dict      )       ->PerceiverTokenizer:
          return self.tokenizer_class.from_pretrained(self.tmpdirname		, **A      )







       def 						__lowerCamelCase   (				self					:     Optional[Any]		, A					:     Dict		, A					:     Union[str, Any]=False		, A					:     Union[str, Any]=2_0		, A					:     List[Any]=5      )       ->Tuple[str, list]:
          # 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.

          lowerCamelCase__       :						List[str]        =							[]
          for i in range(len(A      )      ):
             try:
                lowerCamelCase__       :						List[str]        =							tokenizer.decode([i]		, clean_up_tokenization_spaces=A      )
             except UnicodeDecodeError:
                pass
             toks.append((i, tok)      )

          lowerCamelCase__       :						int        =							list(filter(lambda A      : re.match(R'''^[ a-zA-Z]+$'''		, t[1]      )		, A      )      )
          lowerCamelCase__       :						int        =							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:
             lowerCamelCase__       :						List[str]        =							toks[:max_length]
          if min_length is not None and len(A      ) < min_length and len(A      ) > 0:
             while len(A      ) < min_length:
                lowerCamelCase__       :						int        =							toks + toks
        # toks_str = [t[1] for t in toks]
          lowerCamelCase__       :						str        =							[t[0] for t in toks]

          # Ensure consistency
          lowerCamelCase__       :						Union[str, Any]        =							tokenizer.decode(A		, clean_up_tokenization_spaces=A      )
          if " " not in output_txt and len(A      ) > 1:
             lowerCamelCase__       :						Optional[int]        =							(
                 tokenizer.decode([toks_ids[0]]		, clean_up_tokenization_spaces=A      )
                 + ''' '''
                 + tokenizer.decode(toks_ids[1:]		, clean_up_tokenization_spaces=A      )
             )
          if with_prefix_space:
             lowerCamelCase__       :						int        =							''' ''' + output_txt
          lowerCamelCase__       :						Tuple        =							tokenizer.encode(A		, add_special_tokens=A      )
          return output_txt, output_ids







       def 						__lowerCamelCase   (				self					:     int      )       ->Dict:
          lowerCamelCase__       :						Union[str, Any]        =							self.perceiver_tokenizer
          lowerCamelCase__       :						int        =							'''Unicode €.'''
          lowerCamelCase__       :						Union[str, Any]        =							tokenizer(A      )
          lowerCamelCase__       :						List[Any]        =							[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''']		, A      )

          # decoding
          lowerCamelCase__       :						List[str]        =							tokenizer.decode(A      )
          self.assertEqual(A		, '''[CLS]Unicode €.[SEP]'''      )

          lowerCamelCase__       :						List[str]        =							tokenizer('''e è é ê ë'''      )
          lowerCamelCase__       :						int        =							[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''']		, A      )
          # decoding
          lowerCamelCase__       :						Optional[int]        =							tokenizer.decode(A      )
          self.assertEqual(A		, '''[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 						__lowerCamelCase   (				self					:     int      )       ->str:
          lowerCamelCase__       :						Union[str, Any]        =							self.perceiver_tokenizer
          lowerCamelCase__       :						List[str]        =							['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
          # fmt: off
          lowerCamelCase__       :						Any        =							[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
          lowerCamelCase__       :						Dict        =							tokenizer(A		, padding=A		, return_tensors=A      )
          self.assertIsInstance(A		, A      )

          if FRAMEWORK != "jax":
             lowerCamelCase__       :						Dict        =							list(batch.input_ids.numpy()[0]      )
          else:
             lowerCamelCase__       :						Union[str, Any]        =							list(batch.input_ids.tolist()[0]      )

          self.assertListEqual(A		, A      )

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







       def 						__lowerCamelCase   (				self					:     List[Any]      )       ->Dict:
          lowerCamelCase__       :						Optional[Any]        =							self.perceiver_tokenizer
          lowerCamelCase__       :						Union[str, Any]        =							['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
          lowerCamelCase__       :						List[Any]        =							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					:     Optional[int]      )       ->Dict:
          lowerCamelCase__       :						List[str]        =							self.perceiver_tokenizer
          lowerCamelCase__       :						Dict        =							[
              '''Summary of the text.''',
              '''Another summary.''',
          ]
          lowerCamelCase__       :						Dict        =							tokenizer(
              text_target=A		, max_length=3_2		, padding='''max_length'''		, truncation=A		, return_tensors=A      )
          self.assertEqual(3_2		, targets['''input_ids'''].shape[1]      )







       def 						__lowerCamelCase   (				self					:     List[str]      )       ->int:
          # safety check on max_len default value so we are sure the test works
          lowerCamelCase__       :						Any        =							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
          lowerCamelCase__       :						str        =							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
                lowerCamelCase__       :						Any        =							tempfile.mkdtemp()

                lowerCamelCase__       :						Optional[int]        =							''' He is very happy, UNwant\u00E9d,running'''
                lowerCamelCase__       :						Union[str, Any]        =							tokenizer.encode(A		, add_special_tokens=A      )
                tokenizer.save_pretrained(A      )

                lowerCamelCase__       :						int        =							tokenizer.__class__.from_pretrained(A      )
                lowerCamelCase__       :						Union[str, Any]        =							after_tokenizer.encode(A		, add_special_tokens=A      )
                self.assertListEqual(A		, A      )

                shutil.rmtree(A      )

          lowerCamelCase__       :						int        =							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
                lowerCamelCase__       :						Optional[int]        =							tempfile.mkdtemp()

                lowerCamelCase__       :						Union[str, Any]        =							''' He is very happy, UNwant\u00E9d,running'''
                tokenizer.add_tokens(['''bim''', '''bambam''']      )
                lowerCamelCase__       :						Optional[int]        =							tokenizer.additional_special_tokens
                additional_special_tokens.append('''new_additional_special_token'''      )
                tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}      )
                lowerCamelCase__       :						List[Any]        =							tokenizer.encode(A		, add_special_tokens=A      )
                tokenizer.save_pretrained(A      )

                lowerCamelCase__       :						int        =							tokenizer.__class__.from_pretrained(A      )
                lowerCamelCase__       :						List[Any]        =							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		, 4_2      )

                lowerCamelCase__       :						Union[str, Any]        =							tokenizer.__class__.from_pretrained(A		, model_max_length=4_3      )
                self.assertEqual(tokenizer.model_max_length		, 4_3      )

                shutil.rmtree(A      )







       def 						__lowerCamelCase   (				self					:     Any      )       ->Dict:
          lowerCamelCase__       :						List[Any]        =							[]
          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:
                   lowerCamelCase__       :						Union[str, Any]        =							json.load(A      )

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

                lowerCamelCase__       :						List[Any]        =							[F"<extra_id_{i}>" for i in range(1_2_5      )]

                lowerCamelCase__       :						Any        =							added_tokens_extra_ids + [
                    '''an_additional_special_token'''
                ]
                lowerCamelCase__       :						List[Any]        =							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
                lowerCamelCase__       :						Optional[int]        =							tokenizer_class.from_pretrained(
                    A		, )
                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
                lowerCamelCase__       :						List[str]        =							added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''		, lstrip=A      )]
                lowerCamelCase__       :						Optional[Any]        =							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					:     Union[str, Any]      )       ->List[Any]:
          lowerCamelCase__       :						List[Any]        =							self.perceiver_tokenizer
          self.assertEqual(tokenizer.decode([1_7_8]      )		, '''�'''      )







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







       def 						__lowerCamelCase   (				self					:     Union[str, Any]      )       ->List[Any]:
          pass







       def 						__lowerCamelCase   (				self					:     Optional[int]      )       ->List[Any]:
          pass







       def 						__lowerCamelCase   (				self					:     Tuple      )       ->Any:
          pass







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

                self.assertIsInstance(A		, A      )










from math import factorial


class        __SCREAMING_SNAKE_CASE      :







       def __init__(				self					:     List[Any]		, A					:     Dict		, A					:     Any      )       ->Optional[Any]:
          lowerCamelCase__       :						Tuple        =							real
          if isinstance(A		, A      ):
             lowerCamelCase__       :						Optional[int]        =							[1] * rank
          else:
             lowerCamelCase__       :						List[Any]        =							rank







       def __repr__(				self					:     Tuple      )       ->str:
          return (
              F"{self.real}+"
              F"{'+'.join(str(A      )+'E'+str(n+1      )for n,dual in enumerate(self.duals      )      )}"
          )







       def 						__lowerCamelCase   (				self					:     List[Any]      )       ->List[Any]:
          lowerCamelCase__       :						Tuple        =							self.duals.copy()
          while cur[-1] == 0:
             cur.pop(-1      )
          return Dual(self.real		, A      )







       def __add__(				self					:     Union[str, Any]		, A					:     int      )       ->str:
          if not isinstance(A		, A      ):
             return Dual(self.real + other		, self.duals      )
          lowerCamelCase__       :						int        =							self.duals.copy()
          lowerCamelCase__       :						int        =							other.duals.copy()
          if len(A      ) > len(A      ):
             o_dual.extend([1] * (len(A      ) - len(A      ))      )
          elif len(A      ) < len(A      ):
             s_dual.extend([1] * (len(A      ) - len(A      ))      )
          lowerCamelCase__       :						Optional[Any]        =							[]
          for i in range(len(A      )      ):
             new_duals.append(s_dual[i] + o_dual[i]      )
          return Dual(self.real + other.real		, A      )

       _UpperCAmelCase				:  List[Any]			   =   __add__







       def __sub__(				self					:     Any		, A					:     Dict      )       ->int:
          return self + other * -1







       def __mul__(				self					:     Optional[Any]		, A					:     List[Any]      )       ->Union[str, Any]:
          if not isinstance(A		, A      ):
             lowerCamelCase__       :						Optional[int]        =							[]
             for i in self.duals:
                new_duals.append(i * other      )
             return Dual(self.real * other		, A      )
          lowerCamelCase__       :						Tuple        =							[0] * (len(self.duals      ) + len(other.duals      ) + 1)
          for i, item in enumerate(self.duals      ):
             for j, jtem in enumerate(other.duals      ):
                new_duals[i + j + 1] += item * jtem
          for k in range(len(self.duals      )      ):
             new_duals[k] += self.duals[k] * other.real
          for index in range(len(other.duals      )      ):
             new_duals[index] += other.duals[index] * self.real
          return Dual(self.real * other.real		, A      )

       _UpperCAmelCase				:  Optional[Any]			   =   __mul__







       def __truediv__(				self					:     int		, A					:     List[Any]      )       ->Dict:
          if not isinstance(A		, A      ):
             lowerCamelCase__       :						Tuple        =							[]
             for i in self.duals:
                new_duals.append(i / other      )
             return Dual(self.real / other		, A      )
          raise ValueError







       def __floordiv__(				self					:     Dict		, A					:     Union[str, Any]      )       ->Union[str, Any]:
          if not isinstance(A		, A      ):
             lowerCamelCase__       :						Tuple        =							[]
             for i in self.duals:
                new_duals.append(i // other      )
             return Dual(self.real // other		, A      )
          raise ValueError







       def __pow__(				self					:     Any		, A					:     List[Any]      )       ->Tuple:
          if n < 0 or isinstance(A		, A      ):
             raise ValueError('''power must be a positive integer'''      )
          if n == 0:
             return 1
          if n == 1:
             return self
          lowerCamelCase__       :						Union[str, Any]        =							self
          for _ in range(n - 1      ):
             x *= self
          return x



def 	_a						(   UpperCAmelCase      ,  UpperCAmelCase      ,  UpperCAmelCase					)    ->    Dict:







   """simple docstring"""
   if not callable(UpperCAmelCase					):
      raise ValueError('''differentiate() requires a function as input for func'''					)
   if not isinstance(UpperCAmelCase      ,  (float, int)					):
      raise ValueError('''differentiate() requires a float as input for position'''					)
   if not isinstance(UpperCAmelCase      ,  UpperCAmelCase					):
      raise ValueError('''differentiate() requires an int as input for order'''					)
   lowerCamelCase__       :						List[str]        =							Dual(UpperCAmelCase      ,  1					)
   lowerCamelCase__       :						Any        =							func(UpperCAmelCase					)
   if order == 0:
      return result.real
   return result.duals[order - 1] * factorial(UpperCAmelCase					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()



       def 	_a						(   UpperCAmelCase					)    ->    int:







          """simple docstring"""
          return y**2 * y**4




       print(differentiate(f, 9, 2))



