import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class        _UpperCamelCase				(						_UpperCAmelCase						,unittest.TestCase			):


			"""simple docstring"""






			__a  :			Any      			=						BertweetTokenizer
			__a  :			Tuple      			=						False





			def 	_SCREAMING_SNAKE_CASE      (       self						)					-> str:

							'''simple docstring'''


							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							__lowercase			      =							['''I''', '''m''', '''V@@''', '''R@@''', '''r''', '''e@@''']
							__lowercase			      =							dict(zip(lowerCAmelCase__				,       range(len(lowerCAmelCase__						)						)						)						)
							__lowercase			      =							['''#version: 0.2''', '''a m</w>''']
							__lowercase			      =							{'''unk_token''': '''<unk>'''}

							__lowercase			      =							os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['''vocab_file''']						)
							__lowercase			      =							os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['''merges_file''']						)
							with open(self.vocab_file				,       '''w'''				,       encoding='''utf-8'''						) as fp:
											for token in vocab_tokens:
															fp.write(F"{token} {vocab_tokens[token]}\n"						)
							with open(self.merges_file				,       '''w'''				,       encoding='''utf-8'''						) as fp:
											fp.write('''\n'''.join(lowerCAmelCase__						)						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       **lowerCAmelCase__						)					-> Union[str, Any]:

							'''simple docstring'''


							kwargs.update(self.special_tokens_map						)
							return BertweetTokenizer.from_pretrained(self.tmpdirname				,       **lowerCAmelCase__						)





			def 	_SCREAMING_SNAKE_CASE      (       self				,       lowerCAmelCase__						)					-> Optional[int]:

							'''simple docstring'''


							__lowercase			      =							'''I am VinAI Research'''
							__lowercase			      =							'''I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
							return input_text, output_text





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

							'''simple docstring'''


							__lowercase			      =							BertweetTokenizer(self.vocab_file				,       self.merges_file				,       **self.special_tokens_map						)
							__lowercase			      =							'''I am VinAI Research'''
							__lowercase			      =							'''I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
							__lowercase			      =							tokenizer.tokenize(lowerCAmelCase__						)
							self.assertListEqual(lowerCAmelCase__				,       lowerCAmelCase__						)

							__lowercase			      =							tokens + [tokenizer.unk_token]

							__lowercase			      =							[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__						)				,       lowerCAmelCase__						)
import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


__a  :					int          =  5_0_0_0_0_0

__a   ,						__a  :					Any          =  os.path.split(__file__)
__a  :					Dict          =  os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.select(range(0							,      len(lowercase							)							,      2							)							)





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.sort('''numbers'''							)





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.shuffle()





@get_duration
def     UpperCAmelCase						(   lowercase							):







				"""simple docstring"""



				__lowercase			      =							dataset.train_test_split(0.1							)





@get_duration
def     UpperCAmelCase						(   lowercase							,      lowercase=10							):







				"""simple docstring"""



				for shard_id in range(lowercase							):
								__lowercase			      =							dataset.shard(lowercase							,      lowercase							)





def     UpperCAmelCase						(   ):







				"""simple docstring"""



				__lowercase			      =							{'''num examples''': SPEED_TEST_N_EXAMPLES}
				__lowercase			      =							(select, sort, shuffle, train_test_split, shard)
				with tempfile.TemporaryDirectory() as tmp_dir:
								print('''generating dataset'''							)
								__lowercase			      =							datasets.Features({'''text''': datasets.Value('''string'''							), '''numbers''': datasets.Value('''float32'''							)}							)
								__lowercase			      =							generate_example_dataset(
								    os.path.join(lowercase							,      '''dataset.arrow'''							)							,      lowercase							,      num_examples=lowercase							)
								print('''Functions'''							)
								for func in functions:
												print(func.__name__							)
												__lowercase			      =							func(lowercase							)

				with open(lowercase							,      '''wb'''							) as f:
								f.write(json.dumps(lowercase							).encode('''utf-8'''							)							)


if __name__ == "__main__":  # useful to run the profiler
		benchmark_indices_mapping()