"""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  _A						(       lowerCAmelCase	):

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	tempfile.mkdtemp()
            lowercase														=	5

            # Realm tok
            lowercase														=	[
                """[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""",
            ]
            lowercase														=	os.path.join(self.tmpdirname		,       """realm_tokenizer"""						)
            os.makedirs(__lowerCAmelCase		,       exist_ok=__lowerCAmelCase						)
            lowercase														=	os.path.join(__lowerCAmelCase		,       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]						)						)

            lowercase														=	os.path.join(self.tmpdirname		,       """realm_block_records"""						)
            os.makedirs(__lowerCAmelCase		,       exist_ok=__lowerCAmelCase						)

      def 				A__       (						self						):







            """simple docstring"""



            return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname		,       """realm_tokenizer"""						)						)

      def 				A__       (						self						):







            """simple docstring"""



            shutil.rmtree(self.tmpdirname						)

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	RealmConfig(num_block_records=self.num_block_records						)
            return config

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	Dataset.from_dict(
                {
                    """id""": ["""0""", """1"""],
                    """question""": ["""foo""", """bar"""],
                    """answers""": [["""Foo""", """Bar"""], ["""Bar"""]],
                }						)
            return dataset

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	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=__lowerCAmelCase		,       )
            return block_records

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	RealmRetriever(
                block_records=self.get_dummy_block_records()		,       tokenizer=self.get_tokenizer()		,       )
            return retriever

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.get_config()
            lowercase														=	self.get_dummy_retriever()
            lowercase														=	retriever.tokenizer

            lowercase														=	np.array([0, 3]		,       dtype="""long"""						)
            lowercase														=	tokenizer(["""Test question"""]						).input_ids
            lowercase														=	tokenizer(
                ["""the fourth"""]		,       add_special_tokens=__lowerCAmelCase		,       return_token_type_ids=__lowerCAmelCase		,       return_attention_mask=__lowerCAmelCase		,       ).input_ids
            lowercase														=	config.reader_seq_len

            lowercase							,							lowercase							,							lowercase							,							lowercase														=	retriever(
                __lowerCAmelCase		,       __lowerCAmelCase		,       answer_ids=__lowerCAmelCase		,       max_length=__lowerCAmelCase		,       return_tensors="""np"""						)

            self.assertEqual(len(__lowerCAmelCase						)		,       2						)
            self.assertEqual(len(__lowerCAmelCase						)		,       2						)
            self.assertEqual(len(__lowerCAmelCase						)		,       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 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.get_config()
            lowercase														=	self.get_dummy_retriever()
            lowercase														=	retriever.tokenizer

            lowercase														=	np.array([0, 3, 5]		,       dtype="""long"""						)
            lowercase														=	tokenizer(["""Test question"""]						).input_ids
            lowercase														=	tokenizer(
                ["""the fourth""", """longer longer"""]		,       add_special_tokens=__lowerCAmelCase		,       return_token_type_ids=__lowerCAmelCase		,       return_attention_mask=__lowerCAmelCase		,       ).input_ids
            lowercase														=	config.reader_seq_len

            lowercase							,							lowercase							,							lowercase							,							lowercase														=	retriever(
                __lowerCAmelCase		,       __lowerCAmelCase		,       answer_ids=__lowerCAmelCase		,       max_length=__lowerCAmelCase		,       return_tensors="""np"""						)

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







      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.get_dummy_retriever()
            retriever.save_pretrained(os.path.join(self.tmpdirname		,       """realm_block_records"""						)						)

            # Test local path
            lowercase														=	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:
                  lowercase														=	os.path.join(
                      os.path.join(self.tmpdirname		,       """realm_block_records"""						)		,       _REALM_BLOCK_RECORDS_FILENAME						)
                  lowercase														=	RealmRetriever.from_pretrained("""google/realm-cc-news-pretrained-openqa"""						)

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




"""simple docstring"""






def 			UpperCAmelCase__       (				lowerCAmelCase__     :str					,		lowerCAmelCase__     :Optional[Any]		) ->    int:
      '''simple docstring'''


      lowercase														=	[0 for i in range(r + 1		)]
      # nc0 = 1
      lowercase														=	1
      for i in range(1					,		n + 1		):
            # to compute current row from previous row.
            lowercase														=	min(lowerCAmelCase__					,		lowerCAmelCase__		)
            while j > 0:
                  c[j] += c[j - 1]
                  j -= 1
      return c[r]






print(binomial_coefficient(n=1_0, r=5))



