

"""simple docstring"""





import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


_SCREAMING_SNAKE_CASE       :  str        = 5_0_0_0_0_0

_SCREAMING_SNAKE_CASE       ,       _SCREAMING_SNAKE_CASE       :  List[Any]        = os.path.split(__file__)
_SCREAMING_SNAKE_CASE       :  Union[str, Any]        = os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))



@get_duration
def        _lowerCAmelCase      (						UpperCAmelCase     :							datasets.Dataset				):


					'''simple docstring'''






					UpperCamelCase__		:    Union[str, Any]         =dataset.select(range(0      ,							len(UpperCAmelCase				)      ,							2				)				)



@get_duration
def        _lowerCAmelCase      (						UpperCAmelCase     :							datasets.Dataset				):


					'''simple docstring'''






					UpperCamelCase__		:    Optional[int]         =dataset.sort('''numbers'''				)



@get_duration
def        _lowerCAmelCase      (						UpperCAmelCase     :							datasets.Dataset				):


					'''simple docstring'''






					UpperCamelCase__		:    str         =dataset.shuffle()



@get_duration
def        _lowerCAmelCase      (						UpperCAmelCase     :							datasets.Dataset				):


					'''simple docstring'''






					UpperCamelCase__		:    Union[str, Any]         =dataset.train_test_split(0.1				)



@get_duration
def        _lowerCAmelCase      (						UpperCAmelCase     :							datasets.Dataset      ,							UpperCAmelCase     :							Dict=10				):


					'''simple docstring'''






					for shard_id in range(UpperCAmelCase				):
										UpperCamelCase__		:    Dict         =dataset.shard(UpperCAmelCase      ,							UpperCAmelCase				)



def        _lowerCAmelCase      (						):


					'''simple docstring'''






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

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


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





"""simple docstring"""





import io
import json
import subprocess


_SCREAMING_SNAKE_CASE       :  List[Any]        = [
    ["""en""", """ru"""],
    ["""ru""", """en"""],
    ["""en""", """de"""],
    ["""de""", """en"""],
]

_SCREAMING_SNAKE_CASE       :  str        = 8



def        _lowerCAmelCase      (						UpperCAmelCase     :							Tuple      ,							UpperCAmelCase     :							List[Any]				):


					'''simple docstring'''






					UpperCamelCase__		:    Any         ={}
					for src, tgt in pairs:
										UpperCamelCase__		:    Optional[int]         =F'''{src}-{tgt}'''
										UpperCamelCase__		:    int         =F'''sacrebleu -t wmt19 -l {pair} --echo src'''.split()
										UpperCamelCase__		:    str         =subprocess.run(UpperCAmelCase      ,							stdout=subprocess.PIPE				).stdout.decode('''utf-8'''				).splitlines()
										UpperCamelCase__		:    List[Any]         =F'''sacrebleu -t wmt19 -l {pair} --echo ref'''.split()
										UpperCamelCase__		:    str         =subprocess.run(UpperCAmelCase      ,							stdout=subprocess.PIPE				).stdout.decode('''utf-8'''				).splitlines()
										UpperCamelCase__		:    Any         ={'''src''': src_lines[:n_objs], '''tgt''': tgt_lines[:n_objs]}
					return text


_SCREAMING_SNAKE_CASE       :  List[str]        = get_all_data(pairs, n_objs)
_SCREAMING_SNAKE_CASE       :  Optional[Any]        = """./fsmt_val_data.json"""
with io.open(filename, """w""", encoding="""utf-8""") as f:
				_SCREAMING_SNAKE_CASE       :  Any        = json.dump(text, f, indent=2, ensure_ascii=False)


