
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        SCREAMING_SNAKE_CASE(			self							:List[str]     )  ->Union[str, Any]:
										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        SCREAMING_SNAKE_CASE(			self							:Union[str, Any]     )  ->RealmTokenizer:
										return RealmTokenizer.from_pretrained(os.path.join(self.tmpdirname		,    "realm_tokenizer"     )     )





						def        SCREAMING_SNAKE_CASE(			self							:Dict     )  ->int:
										shutil.rmtree(self.tmpdirname     )





						def        SCREAMING_SNAKE_CASE(			self							:Union[str, Any]     )  ->Union[str, Any]:
										lowercase         =      RealmConfig(num_block_records=self.num_block_records     )
										return config





						def        SCREAMING_SNAKE_CASE(			self							:Optional[Any]     )  ->List[Any]:
										lowercase         =      Dataset.from_dict(
										    {
										        "id": ["0", "1"],
										        "question": ["foo", "bar"],
										        "answers": [["Foo", "Bar"], ["Bar"]],
										    }     )
										return dataset





						def        SCREAMING_SNAKE_CASE(			self							:Tuple     )  ->Tuple:
										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        SCREAMING_SNAKE_CASE(			self							:Any     )  ->Optional[int]:
										lowercase         =      RealmRetriever(
										    block_records=self.get_dummy_block_records()		,    tokenizer=self.get_tokenizer()		,    )
										return retriever





						def        SCREAMING_SNAKE_CASE(			self							:str     )  ->List[Any]:
										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        SCREAMING_SNAKE_CASE(			self							:int     )  ->Dict:
										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        SCREAMING_SNAKE_CASE(			self							:List[str]     )  ->Optional[int]:
										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"     )


def  __snake_case							(	__magic_name__						):







				'''simple docstring'''


				lowercase     ,	lowercase         =      [], []
				while len(__magic_name__						) > 1:
								lowercase     ,	lowercase         =      min(__magic_name__						), max(__magic_name__						)
								start.append(__magic_name__						)
								end.append(__magic_name__						)
								collection.remove(__magic_name__						)
								collection.remove(__magic_name__						)
				end.reverse()
				return start + collection + end


if __name__ == "__main__":
						_snake_case      :							int     	=    input("Enter numbers separated by a comma:\n").strip()
						_snake_case      :							Dict     	=    [int(item) for item in user_input.split(",")]
						print(*merge_sort(unsorted), sep=",")
