





from collections import defaultdict
from pathlib import Path

import pandas as pd
from rouge_cli import calculate_rouge_path

from utils import calculate_rouge


_a						=   [
    "Prosecutor: \"No videos were used in the crash investigation\" German papers say they saw a cell phone video of the"
    " final seconds on board Flight 9525. The Germanwings co-pilot says he had a \"previous episode of severe"
    " depression\" German airline confirms it knew of Andreas Lubitz\'s depression years before he took control.",
    "The Palestinian Authority officially becomes the 123rd member of the International Criminal Court. The formal"
    " accession was marked with a ceremony at The Hague, in the Netherlands. The Palestinians signed the ICC\'s"
    " founding Rome Statute in January. Israel and the United States opposed the Palestinians\' efforts to join the"
    " body.",
    "Amnesty International releases its annual report on the death penalty. The report catalogs the use of"
    " state-sanctioned killing as a punitive measure across the globe. At least 607 people were executed around the"
    " world in 2014, compared to 778 in 2013. The U.S. remains one of the worst offenders for imposing capital"
    " punishment.",
]

_a						=   [
    "Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports ."
    " Journalists at Bild and Paris Match are \"very confident\" the video clip is real, an editor says . Andreas Lubitz"
    " had informed his Lufthansa training school of an episode of severe depression, airline says .",
    "Membership gives the ICC jurisdiction over alleged crimes committed in Palestinian territories since last June ."
    " Israel and the United States opposed the move, which could open the door to war crimes investigations against"
    " Israelis .",
    "Amnesty\'s annual death penalty report catalogs encouraging signs, but setbacks in numbers of those sentenced to"
    " death . Organization claims that governments around the world are using the threat of terrorism to advance"
    " executions . The number of executions worldwide has gone down by almost 22% compared with 2013, but death"
    " sentences up by 28% .",
]





def lowerCAmelCase__()       ->   Dict:







	'''simple docstring'''







	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,bootstrap_aggregation=UpperCamelCase__ ,rouge_keys=['''rouge2''', '''rougeL''']							)
	assert isinstance(UpperCamelCase__ ,UpperCamelCase__							)
	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,bootstrap_aggregation=UpperCamelCase__ ,rouge_keys=['''rouge2''']							)
	assert (
	    pd.DataFrame(no_aggregation['''rouge2''']							).fmeasure.mean()
	    == pd.DataFrame(no_aggregation_just_ra['''rouge2''']							).fmeasure.mean()
	)





def lowerCAmelCase__()       ->   int:







	'''simple docstring'''







	lowerCamelCase__              =	'''rougeLsum'''
	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,newline_sep=UpperCamelCase__ ,rouge_keys=[k]							)[k]
	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,newline_sep=UpperCamelCase__ ,rouge_keys=[k]							)[k]
	assert score > score_no_sep





def lowerCAmelCase__()       ->   Optional[int]:







	'''simple docstring'''







	lowerCamelCase__              =	['''rouge1''', '''rouge2''', '''rougeL''']
	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,newline_sep=UpperCamelCase__ ,rouge_keys=UpperCamelCase__							)
	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,newline_sep=UpperCamelCase__ ,rouge_keys=UpperCamelCase__							)
	assert score_sep == score_no_sep





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







	'''simple docstring'''







	lowerCamelCase__              =	[
	    '''Her older sister, Margot Frank, died in 1945, a month earlier than previously thought.''',
	    '''Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports .''',
	]
	lowerCamelCase__              =	[
	    '''Margot Frank, died in 1945, a month earlier than previously thought.''',
	    '''Prosecutor: \"No videos were used in the crash investigation\" German papers say they saw a cell phone video of'''
	    ''' the final seconds on board Flight 9525.''',
	]
	assert calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,newline_sep=UpperCamelCase__							) == calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,newline_sep=UpperCamelCase__							)





def lowerCAmelCase__()       ->   Tuple:







	'''simple docstring'''







	lowerCamelCase__              =	[
	    '''\" \"a person who has such a video needs to immediately give it to the investigators,\" prosecutor says .<n> \"it is a very disturbing scene,\" editor-in-chief of bild online tells \"erin burnett: outfront\" '''
	]
	lowerCamelCase__              =	[
	    ''' Marseille prosecutor says \"so far no videos were used in the crash investigation\" despite media reports . Journalists at Bild and Paris Match are \"very confident\" the video clip is real, an editor says . Andreas Lubitz had informed his Lufthansa training school of an episode of severe depression, airline says .'''
	]

	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,rouge_keys=['''rougeLsum'''] ,newline_sep=UpperCamelCase__							)['''rougeLsum''']
	lowerCamelCase__              =	calculate_rouge(UpperCamelCase__ ,UpperCamelCase__ ,rouge_keys=['''rougeLsum''']							)['''rougeLsum''']
	assert new_score > prev_score





def lowerCAmelCase__()       ->   Dict:







	'''simple docstring'''







	lowerCamelCase__              =	Path('''examples/seq2seq/test_data/wmt_en_ro'''							)
	lowerCamelCase__              =	calculate_rouge_path(data_dir.joinpath('''test.source'''							) ,data_dir.joinpath('''test.target'''							)							)
	assert isinstance(UpperCamelCase__ ,UpperCamelCase__							)
	lowerCamelCase__              =	calculate_rouge_path(
	    data_dir.joinpath('''test.source'''							) ,data_dir.joinpath('''test.target'''							) ,bootstrap_aggregation=UpperCamelCase__							)
	assert isinstance(UpperCamelCase__ ,UpperCamelCase__							)









import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


_a						=   logging.get_logger(__name__)






class       __A					:

			'''simple docstring'''







			lowerCAmelCase_							  =		None





@experimental
def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case							)       ->   Tuple:







	'''simple docstring'''







	if ParallelBackendConfig.backend_name is None:
		return _map_with_multiprocessing_pool(
		    __snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case							)

	return _map_with_joblib(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case							)





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case							)       ->   int:







	'''simple docstring'''







	lowerCamelCase__              =	num_proc if num_proc <= len(__snake_case							) else len(__snake_case							)
	lowerCamelCase__              =	[]  # We organize the splits ourselve (contiguous splits)
	for index in range(__snake_case							):
		lowerCamelCase__              =	len(__snake_case							) // num_proc
		lowerCamelCase__              =	len(__snake_case							) % num_proc
		lowerCamelCase__              =	div * index + min(__snake_case ,__snake_case							)
		lowerCamelCase__              =	start + div + (1 if index < mod else 0)
		split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)							)

	if len(__snake_case							) != sum(len(i[1]							) for i in split_kwds							):
		raise ValueError(
		    F'Error dividing inputs iterable among processes. '
		    F'Total number of objects {len(__snake_case							)}, '
		    F'length: {sum(len(i[1]							) for i in split_kwds							)}'							)

	logger.info(
	    F'Spawning {num_proc} processes for {len(__snake_case							)} objects in slices of {[len(i[1]							) for i in split_kwds]}'							)
	lowerCamelCase__       ,			lowerCamelCase__              =	None, None
	if not disable_tqdm:
		lowerCamelCase__       ,			lowerCamelCase__              =	(RLock(),), tqdm.set_lock
	with Pool(__snake_case ,initargs=__snake_case ,initializer=__snake_case							) as pool:
		lowerCamelCase__              =	pool.map(__snake_case ,__snake_case							)
	logger.info(F'Finished {num_proc} processes'							)
	lowerCamelCase__              =	[obj for proc_res in mapped for obj in proc_res]
	logger.info(F'Unpacked {len(__snake_case							)} objects'							)

	return mapped





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case							)       ->   List[str]:







	'''simple docstring'''







	import joblib

	with joblib.parallel_backend(ParallelBackendConfig.backend_name ,n_jobs=__snake_case							):
		return joblib.Parallel()(
		    joblib.delayed(__snake_case							)((function, obj, types, None, True, None)							) for obj in iterable							)





@experimental
@contextlib.contextmanager
def lowerCAmelCase__(__snake_case							)       ->   int:







	'''simple docstring'''







	lowerCamelCase__              =	backend_name

	if backend_name == "spark":
		from joblibspark import register_spark

		register_spark()

		# TODO: call create_cache_and_write_probe if "download" in steps
		# TODO: raise NotImplementedError when Dataset.map etc is called

	try:
		yield
	finally:
		lowerCamelCase__              =	None



