



'''simple docstring'''





import os
import shutil
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
from datasets import Dataset

from transformers.models.realm.configuration_realm import RealmConfig
from transformers.models.realm.retrieval_realm import _REALM_BLOCK_RECORDS_FILENAME, RealmRetriever
from transformers.models.realm.tokenization_realm import VOCAB_FILES_NAMES, RealmTokenizer







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    def lowerCamelCase       (    self					:     List[Any]						):
          snake_case__  :    str    						=      tempfile.mkdtemp()
          snake_case__  :    Tuple    						=      5

          # Realm tok
          snake_case__  :    Union[str, Any]    						=      [
              """[UNK]""",
              """[CLS]""",
              """[SEP]""",
              """[PAD]""",
              """[MASK]""",
              """test""",
              """question""",
              """this""",
              """is""",
              """the""",
              """first""",
              """second""",
              """third""",
              """fourth""",
              """fifth""",
              """record""",
              """want""",
              """##want""",
              """##ed""",
              """wa""",
              """un""",
              """runn""",
              """##ing""",
              """,""",
              """low""",
              """lowest""",
          ]
          snake_case__  :    Optional[int]    						=      os.path.join(self.tmpdirname ,     """realm_tokenizer"""						)
          os.makedirs(snake_case_ ,     exist_ok=snake_case_						)
          snake_case__  :    Union[str, Any]    						=      os.path.join(snake_case_ ,     VOCAB_FILES_NAMES["""vocab_file"""]						)
          with open(self.vocab_file ,     """w""" ,     encoding="""utf-8"""						) as vocab_writer:
                vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)

          snake_case__  :    List[Any]    						=      os.path.join(self.tmpdirname ,     """realm_block_records"""						)
          os.makedirs(snake_case_ ,     exist_ok=snake_case_						)




    def lowerCamelCase       (    self					:     List[str]						):
          return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname ,     """realm_tokenizer"""						)						)




    def lowerCamelCase       (    self					:     str						):
          shutil.rmtree(self.tmpdirname						)




    def lowerCamelCase       (    self					:     int						):
          snake_case__  :    List[Any]    						=      RealmConfig(num_block_records=self.num_block_records						)
          return config




    def lowerCamelCase       (    self					:     int						):
          snake_case__  :    str    						=      Dataset.from_dict(
              {
                  """id""": ["""0""", """1"""],
                  """question""": ["""foo""", """bar"""],
                  """answers""": [["""Foo""", """Bar"""], ["""Bar"""]],
              }						)
          return dataset




    def lowerCamelCase       (    self					:     List[str]						):
          snake_case__  :    str    						=      np.array(
              [
                  b"""This is the first record""",
                  b"""This is the second record""",
                  b"""This is the third record""",
                  b"""This is the fourth record""",
                  b"""This is the fifth record""",
                  b"""This is a longer longer longer record""",
              ] ,     dtype=snake_case_ ,     )
          return block_records




    def lowerCamelCase       (    self					:     int						):
          snake_case__  :    Dict    						=      RealmRetriever(
              block_records=self.get_dummy_block_records() ,     tokenizer=self.get_tokenizer() ,     )
          return retriever




    def lowerCamelCase       (    self					:     int						):
          snake_case__  :    Tuple    						=      self.get_config()
          snake_case__  :    Any    						=      self.get_dummy_retriever()
          snake_case__  :    str    						=      retriever.tokenizer

          snake_case__  :    Optional[int]    						=      np.array([0, 3] ,     dtype="""long"""						)
          snake_case__  :    List[Any]    						=      tokenizer(["""Test question"""]						).input_ids
          snake_case__  :    List[str]    						=      tokenizer(
              ["""the fourth"""] ,     add_special_tokens=snake_case_ ,     return_token_type_ids=snake_case_ ,     return_attention_mask=snake_case_ ,     ).input_ids
          snake_case__  :    List[Any]    						=      config.reader_seq_len

          snake_case__						,				snake_case__						,				snake_case__						,				snake_case__  :    Optional[int]    						=      retriever(
              snake_case_ ,     snake_case_ ,     answer_ids=snake_case_ ,     max_length=snake_case_ ,     return_tensors="""np"""						)

          self.assertEqual(len(snake_case_						) ,     2						)
          self.assertEqual(len(snake_case_						) ,     2						)
          self.assertEqual(len(snake_case_						) ,     2						)
          self.assertEqual(concat_inputs.input_ids.shape ,     (2, 10)						)
          self.assertEqual(concat_inputs.attention_mask.shape ,     (2, 10)						)
          self.assertEqual(concat_inputs.token_type_ids.shape ,     (2, 10)						)
          self.assertEqual(concat_inputs.special_tokens_mask.shape ,     (2, 10)						)
          self.assertEqual(
              tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[0]						) ,     ["""[CLS]""", """test""", """question""", """[SEP]""", """this""", """is""", """the""", """first""", """record""", """[SEP]"""] ,     )
          self.assertEqual(
              tokenizer.convert_ids_to_tokens(concat_inputs.input_ids[1]						) ,     ["""[CLS]""", """test""", """question""", """[SEP]""", """this""", """is""", """the""", """fourth""", """record""", """[SEP]"""] ,     )




    def lowerCamelCase       (    self					:     Union[str, Any]						):
          snake_case__  :    List[str]    						=      self.get_config()
          snake_case__  :    List[str]    						=      self.get_dummy_retriever()
          snake_case__  :    str    						=      retriever.tokenizer

          snake_case__  :    List[Any]    						=      np.array([0, 3, 5] ,     dtype="""long"""						)
          snake_case__  :    Union[str, Any]    						=      tokenizer(["""Test question"""]						).input_ids
          snake_case__  :    Optional[int]    						=      tokenizer(
              ["""the fourth""", """longer longer"""] ,     add_special_tokens=snake_case_ ,     return_token_type_ids=snake_case_ ,     return_attention_mask=snake_case_ ,     ).input_ids
          snake_case__  :    Any    						=      config.reader_seq_len

          snake_case__						,				snake_case__						,				snake_case__						,				snake_case__  :    List[str]    						=      retriever(
              snake_case_ ,     snake_case_ ,     answer_ids=snake_case_ ,     max_length=snake_case_ ,     return_tensors="""np"""						)

          self.assertEqual([False, True, True] ,     snake_case_						)
          self.assertEqual([[-1, -1, -1], [6, -1, -1], [6, 7, 8]] ,     snake_case_						)
          self.assertEqual([[-1, -1, -1], [7, -1, -1], [7, 8, 9]] ,     snake_case_						)




    def lowerCamelCase       (    self					:     Any						):
          snake_case__  :    List[str]    						=      self.get_dummy_retriever()
          retriever.save_pretrained(os.path.join(self.tmpdirname ,     """realm_block_records"""						)						)

          # Test local path
          snake_case__  :    Union[str, Any]    						=      retriever.from_pretrained(os.path.join(self.tmpdirname ,     """realm_block_records"""						)						)
          self.assertEqual(retriever.block_records[0] ,     b"""This is the first record"""						)

          # Test mocked remote path
          with patch("""transformers.models.realm.retrieval_realm.hf_hub_download"""						) as mock_hf_hub_download:
                snake_case__  :    Tuple    						=      os.path.join(
                    os.path.join(self.tmpdirname ,     """realm_block_records"""						) ,     _REALM_BLOCK_RECORDS_FILENAME						)
                snake_case__  :    List[str]    						=      RealmRetriever.from_pretrained("""google/realm-cc-news-pretrained-openqa"""						)

          self.assertEqual(retriever.block_records[0] ,     b"""This is the first record"""						)



"""simple docstring"""





from collections.abc import Sequence




def   _A  (  UpperCamelCase_     :       Sequence[float],			UpperCamelCase_     :       float)	->						float:
   '''simple docstring'''


   return sum(c * (x**i) for i, c in enumerate(UpperCamelCase_))




def   _A  (  UpperCamelCase_     :       Sequence[float],			UpperCamelCase_     :       float)	->						float:
   '''simple docstring'''


   __lowercase								=						0.0
   for coeff in reversed(UpperCamelCase_):
      __lowercase								=						result * x + coeff
   return result


if __name__ == "__main__":
   _a       =							(0.0, 0.0, 5.0, 9.3, 7.0)
   _a       =							10.0
   print(evaluate_poly(poly, x))
   print(horner(poly, x))




