
"""simple docstring"""





import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
UpperCamelCase_       :    Any						      =			logging.getLogger()
def 				A_  (__a					, __a					):

					'''simple docstring'''





					A_								=    "\n".join(__a					)
					Path(__a					).open("w"					).writelines(__a					)


UpperCamelCase_       :    Any						      =			'''patrickvonplaten/t5-tiny-random'''
UpperCamelCase_       :    Tuple						      =			'''sshleifer/bart-tiny-random'''
UpperCamelCase_       :    Dict						      =			'''sshleifer/tiny-mbart'''

UpperCamelCase_       :    Any						      =			logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks




class __lowerCAmelCase					(       _lowercase   ):




			"""simple docstring"""







			def   lowerCamelCase__  (					self    :       Optional[int]							, _snake_case    :       Tuple						)   ->			Dict:







								"""simple docstring"""
								A_								=    Path(self.get_auto_remove_tmp_dir()						) / "utest_input.source"
								A_								=    input_file_name.parent / "utest_output.txt"
								assert not output_file_name.exists()
								A_								=    [" New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County."]
								_dump_articles(_snake_case							, _snake_case						)

								A_								=    str(Path(self.get_auto_remove_tmp_dir()						) / "scores.json"						)
								A_								=    "translation_en_to_de" if model == T5_TINY else "summarization"
								A_								=    F'\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            '.split()

								with patch.object(_snake_case							, "argv"							, _snake_case						):
													run_generate()
													assert Path(_snake_case						).exists()
													# os.remove(Path(output_file_name))




			def   lowerCamelCase__  (					self    :       Any						)   ->			List[str]:







								"""simple docstring"""
								self.run_eval_tester(_snake_case						)




			@parameterized.expand([BART_TINY, MBART_TINY]						)
			@slow
			def   lowerCamelCase__  (					self    :       Tuple							, _snake_case    :       Optional[int]						)   ->			str:







								"""simple docstring"""
								self.run_eval_tester(_snake_case						)






			@parameterized.expand([T5_TINY, MBART_TINY]						)
			@slow
			def   lowerCamelCase__  (					self    :       Union[str, Any]							, _snake_case    :       Union[str, Any]						)   ->			str:







								"""simple docstring"""
								A_								=    Path(self.get_auto_remove_tmp_dir()						) / "utest_input.source"
								A_								=    input_file_name.parent / "utest_output.txt"
								assert not output_file_name.exists()

								A_								=    {
								    "en": ["Machine learning is great, isn't it?", "I like to eat bananas", "Tomorrow is another great day!"],
								    "de": [
								        "Maschinelles Lernen ist großartig, oder?",
								        "Ich esse gerne Bananen",
								        "Morgen ist wieder ein toller Tag!",
								    ],
								}

								A_								=    Path(self.get_auto_remove_tmp_dir()						)
								A_								=    str(tmp_dir / "scores.json"						)
								A_								=    str(tmp_dir / "val.target"						)
								_dump_articles(_snake_case							, text["en"]						)
								_dump_articles(_snake_case							, text["de"]						)
								A_								=    "translation_en_to_de" if model == T5_TINY else "summarization"
								A_								=    F'\n            run_eval_search.py\n            {model}\n            {str(_snake_case						)}\n            {str(_snake_case						)}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            '.split()
								testargs.extend(["--search", "num_beams=1:2 length_penalty=0.9:1.0"]						)

								with patch.object(_snake_case							, "argv"							, _snake_case						):
													with CaptureStdout() as cs:
																		run_search()
													A_								=    [" num_beams | length_penalty", model, "Best score args"]
													A_								=    ["Info"]
													if "translation" in task:
																		expected_strings.append("bleu"						)
													else:
																		expected_strings.extend(_snake_case						)
													for w in expected_strings:
																		assert w in cs.out
													for w in un_expected_strings:
																		assert w not in cs.out
													assert Path(_snake_case						).exists()
													os.remove(Path(_snake_case						)						)






"""simple docstring"""





import argparse
import os
import re


UpperCamelCase_       :    Any						      =			'''src/transformers/models/auto'''


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
UpperCamelCase_       :    Optional[int]						      =			re.compile(R'''[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict''')
# re pattern that matches identifiers in mappings
UpperCamelCase_       :    Tuple						      =			re.compile(R'''\s*\(\s*"(\S[^"]+)"''')
def 				A_  (__a					, __a = False					):

					'''simple docstring'''





					with open(__a					, "r"					, encoding="utf-8"					) as f:
										A_								=    f.read()

					A_								=    content.split("\n"					)
					A_								=    []
					A_								=    0
					while line_idx < len(__a					):
										if _re_intro_mapping.search(lines[line_idx]					) is not None:
															A_								=    len(re.search(R"^(\s*)\S"					, lines[line_idx]					).groups()[0]					) + 8
															# Start of a new mapping!
															while not lines[line_idx].startswith(" " * indent + "("					):
																				new_lines.append(lines[line_idx]					)
																				line_idx += 1

															A_								=    []
															while lines[line_idx].strip() != "]":
																				# Blocks either fit in one line or not
																				if lines[line_idx].strip() == "(":
																									A_								=    line_idx
																									while not lines[line_idx].startswith(" " * indent + ")"					):
																														line_idx += 1
																									blocks.append("\n".join(lines[start_idx : line_idx + 1]					)					)
																				else:
																									blocks.append(lines[line_idx]					)
																				line_idx += 1

															# Sort blocks by their identifiers
															A_								=    sorted(__a					, key=lambda __a					: _re_identifier.search(__a					).groups()[0]					)
															new_lines += blocks
										else:
															new_lines.append(lines[line_idx]					)
															line_idx += 1

					if overwrite:
										with open(__a					, "w"					, encoding="utf-8"					) as f:
															f.write("\n".join(__a					)					)
					elif "\n".join(__a					) != content:
										return True
def 				A_  (__a = False					):

					'''simple docstring'''





					A_								=    [os.path.join(__a					, __a					) for f in os.listdir(__a					) if f.endswith(".py"					)]
					A_								=    [sort_auto_mapping(__a					, overwrite=__a					) for fname in fnames]

					if not overwrite and any(__a					):
										A_								=    [f for f, d in zip(__a					, __a					) if d]
										raise ValueError(
										    f'The following files have auto mappings that need sorting: {", ".join(__a					)}. Run `make style` to fix'
										    " this."					)


if __name__ == "__main__":
		UpperCamelCase_       :    str						      =			argparse.ArgumentParser()
		parser.add_argument('''--check_only''', action='''store_true''', help='''Whether to only check or fix style.''')
		UpperCamelCase_       :    List[Any]						      =			parser.parse_args()

		sort_all_auto_mappings(not args.check_only)




