


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  __SCREAMING_SNAKE_CASE      (	a__     ,  unittest.TestCase      ):
      A :							Tuple										=   PerceiverTokenizer
      A :							Union[str, Any]										=   False


      def 				__lowerCamelCase	(							self						):
            super().setUp()
            lowercase	:      Any          =						PerceiverTokenizer()
            tokenizer.save_pretrained(self.tmpdirname						)


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


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


      def 				__lowerCamelCase	(							self							,  SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__=False							,  SCREAMING_SNAKE_CASE__=20							,  SCREAMING_SNAKE_CASE__=5						):
            lowercase	:      Any          =						[]
            for i in range(len(_UpperCAmelCase						)						):
                  try:
                        lowercase	:      List[Any]          =						tokenizer.decode([i]							,  clean_up_tokenization_spaces=_UpperCAmelCase						)
                  except UnicodeDecodeError:
                        pass
                  toks.append((i, tok)						)

            lowercase	:      Optional[int]          =						list(filter(lambda SCREAMING_SNAKE_CASE__						: re.match(r'''^[ a-zA-Z]+$'''							,  t[1]						)							,  _UpperCAmelCase						)						)
            lowercase	:      Any          =						list(filter(lambda SCREAMING_SNAKE_CASE__						: [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	:      int          =						toks + toks
        # toks_str = [t[1] for t in toks]
            lowercase	:      int          =						[t[0] for t in toks]

            # Ensure consistency
            lowercase	:      Union[str, Any]          =						tokenizer.decode(_UpperCAmelCase							,  clean_up_tokenization_spaces=_UpperCAmelCase						)
            if " " not in output_txt and len(_UpperCAmelCase						) > 1:
                  lowercase	:      str          =						(
                      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	:      Optional[Any]          =						' ' + output_txt
            lowercase	:      Optional[Any]          =						tokenizer.encode(_UpperCAmelCase							,  add_special_tokens=_UpperCAmelCase						)
            return output_txt, output_ids


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

            # decoding
            lowercase	:      Union[str, Any]          =						tokenizer.decode(_UpperCAmelCase						)
            self.assertEqual(_UpperCAmelCase							,  '''[CLS]Unicode €.[SEP]'''						)

            lowercase	:      List[str]          =						tokenizer('''e è é ê ë'''						)
            lowercase	:      Optional[Any]          =						[4, 107, 38, 201, 174, 38, 201, 175, 38, 201, 176, 38, 201, 177, 5]
            self.assertEqual(encoded['''input_ids''']							,  _UpperCAmelCase						)
            # decoding
            lowercase	:      Tuple          =						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 				__lowerCamelCase	(							self						):
            lowercase	:      Tuple          =						self.perceiver_tokenizer
            lowercase	:      Optional[Any]          =						['A long paragraph for summarization.', 'Another paragraph for summarization.']
            # fmt: off
            lowercase	:      Tuple          =						[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	:      Optional[Any]          =						tokenizer(_UpperCAmelCase							,  padding=_UpperCAmelCase							,  return_tensors=_UpperCAmelCase						)
            self.assertIsInstance(_UpperCAmelCase							,  _UpperCAmelCase						)

            if FRAMEWORK != "jax":
                  lowercase	:      Optional[int]          =						list(batch.input_ids.numpy()[0]						)
            else:
                  lowercase	:      List[Any]          =						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 				__lowerCamelCase	(							self						):
            lowercase	:      Optional[int]          =						self.perceiver_tokenizer
            lowercase	:      Dict          =						['A long paragraph for summarization.', 'Another paragraph for summarization.']
            lowercase	:      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 				__lowerCamelCase	(							self						):
            lowercase	:      List[str]          =						self.perceiver_tokenizer
            lowercase	:      Optional[int]          =						[
                '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 				__lowerCamelCase	(							self						):
            lowercase	:      List[str]          =						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	:      Any          =						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	:      Any          =						' He is very happy, UNwant\u00E9d,running'
                        lowercase	:      Union[str, Any]          =						tokenizer.encode(_UpperCAmelCase							,  add_special_tokens=_UpperCAmelCase						)
                        tokenizer.save_pretrained(_UpperCAmelCase						)

                        lowercase	:      List[str]          =						tokenizer.__class__.from_pretrained(_UpperCAmelCase						)
                        lowercase	:      Tuple          =						after_tokenizer.encode(_UpperCAmelCase							,  add_special_tokens=_UpperCAmelCase						)
                        self.assertListEqual(_UpperCAmelCase							,  _UpperCAmelCase						)

                        shutil.rmtree(_UpperCAmelCase						)

            lowercase	:      str          =						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	:      Union[str, Any]          =						tempfile.mkdtemp()

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

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

                        shutil.rmtree(_UpperCAmelCase						)


      def 				__lowerCamelCase	(							self						):
            lowercase	:      Optional[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(_UpperCAmelCase						)

                        with open(os.path.join(_UpperCAmelCase							,  '''special_tokens_map.json'''						)							,  encoding='''utf-8'''						) as json_file:
                              lowercase	:      Union[str, Any]          =						json.load(_UpperCAmelCase						)

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

                        lowercase	:      List[str]          =						[f"""<extra_id_{i}>""" for i in range(125						)]

                        lowercase	:      List[Any]          =						added_tokens_extra_ids + [
                            'an_additional_special_token'
                        ]
                        lowercase	:      Union[str, Any]          =						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	:      int          =						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	:      List[str]          =						added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''							,  lstrip=_UpperCAmelCase						)]
                        lowercase	:      Optional[Any]          =						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 				__lowerCamelCase	(							self						):
            lowercase	:      Tuple          =						self.perceiver_tokenizer
            self.assertEqual(tokenizer.decode([178]						)							,  '''�'''						)


      def 				__lowerCamelCase	(							self						):
            pass


      def 				__lowerCamelCase	(							self						):
            pass


      def 				__lowerCamelCase	(							self						):
            pass


      def 				__lowerCamelCase	(							self						):
            pass






      def 				__lowerCamelCase	(							self						):
            lowercase	:      List[Any]          =						self.get_tokenizers(fast=_UpperCAmelCase							,  do_lower_case=_UpperCAmelCase						)
            for tokenizer in tokenizers:
                  with self.subTest(f"""{tokenizer.__class__.__name__}"""						):
                        lowercase	:      List[str]          =						['[CLS]', 't', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 's', 't', '[SEP]']
                        lowercase	:      Union[str, Any]          =						tokenizer.convert_tokens_to_string(_UpperCAmelCase						)

                        self.assertIsInstance(_UpperCAmelCase							,  _UpperCAmelCase						)








'''simple docstring'''




from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403






def        _lowerCAmelCase			(  __snake_case  : str ,							__snake_case  : complex ,							__snake_case  : str = "x" ,							__snake_case  : float = 10**-10 ,							__snake_case  : int = 1 ,							)     ->     complex:
     __A						: int      =       symbols(__snake_case			)
     __A						: Tuple      =       lambdify(__snake_case ,							__snake_case			)
     __A						: Any      =       lambdify(__snake_case ,							diff(__snake_case ,							__snake_case			)			)

     __A						: str      =       starting_point

     while True:
          if diff_function(__snake_case			) != 0:
               __A						: Optional[Any]      =       prev_guess - multiplicity * func(__snake_case			) / diff_function(
                   __snake_case			)
          else:
               raise ZeroDivisionError('Could not find root'			) from None

          # Precision is checked by comparing the difference of consecutive guesses
          if abs(next_guess - prev_guess			) < precision:
               return next_guess

          __A						: Dict      =       next_guess


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(f"""The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}""")

  # Find root of polynomial
  # Find fourth Root of 5
  print(f"""The root of x**4 - 5 = 0 is {newton_raphson("x**4 -5", 0.4 +5j)}""")

  # Find value of e
  print(
      '''The root of log(y) - 1 = 0 is ''',
      f"""{newton_raphson("log(y) - 1", 2, variable="y")}""",
  )

  # Exponential Roots
  print(
      '''The root of exp(x) - 1 = 0 is''',
      f"""{newton_raphson("exp(x) - 1", 10, precision=0.005)}""",
  )

  # Find root of cos(x)
  print(f"""The root of cos(x) = 0 is {newton_raphson("cos(x)", 0)}""")