

"""simple docstring"""





import argparse
import itertools
import operator
import sys
from collections import OrderedDict

from run_eval import datetime_now, run_generate

from utils import ROUGE_KEYS


# A table of supported tasks and the list of scores in the order of importance to be sorted by.
# To add a new task, simply list the score names that `run_eval.run_generate()` returns
_SCREAMING_SNAKE_CASE       :  int        = {
    """translation""": ["""bleu"""],
    """summarization""": ROUGE_KEYS,
}



def        _lowerCAmelCase      (						UpperCAmelCase     :							List[str]				):


					'''simple docstring'''






					UpperCamelCase__		:    Any         =search.split()
					UpperCamelCase__		:    Any         =dict((g.split('''='''				) for g in groups)				)
					UpperCamelCase__		:    Optional[int]         =list(entries.keys()				)
					UpperCamelCase__		:    List[str]         =[[F'''--{k} {v}''' for v in vs.split(''':'''				)] for k, vs in entries.items()]
					UpperCamelCase__		:    List[str]         =[list(UpperCAmelCase				) for x in itertools.product(*UpperCAmelCase				)]
					return matrix, entry_names



def        _lowerCAmelCase      (						):


					'''simple docstring'''






					UpperCamelCase__		:    Optional[Any]         =sys.argv[0]

					UpperCamelCase__		:    int         =argparse.ArgumentParser(
					    usage=(
					        '''\n\nImportant: this script accepts all arguments `run_eval.py` accepts and then a few extra, therefore'''
					        ''' refer to `run_eval.py -h` for the complete list.'''
					    )				)
					parser.add_argument(
					    '''--search'''      ,							type=UpperCAmelCase      ,							required=UpperCAmelCase      ,							help='''param space to search, e.g. "num_beams=5:10 length_penalty=0.8:1.0:1.2"'''      ,							)
					parser.add_argument(
					    '''--bs'''      ,							type=UpperCAmelCase      ,							default=8      ,							required=UpperCAmelCase      ,							help='''initial batch size (may get reduced if it\'s too big)'''				)
					parser.add_argument('''--task'''      ,							type=UpperCAmelCase      ,							help='''used for task_specific_params + metrics'''				)
					parser.add_argument(
					    '''--info'''      ,							nargs='''?'''      ,							type=UpperCAmelCase      ,							const=datetime_now()      ,							help=(
					        '''add custom notes to be printed before the results table. If no value is passed, the current datetime'''
					        ''' string will be used.'''
					    )      ,							)
					UpperCamelCase__  ,			UpperCamelCase__		:    List[Any]         =parser.parse_known_args()
					# we share some of the args
					args_main.extend(['''--task''', args.task]				)
					UpperCamelCase__		:    Optional[Any]         =[prog] + args_main

					# to support variations like translation_en_to_de"
					UpperCamelCase__		:    List[str]         ='''translation''' if '''translation''' in args.task else '''summarization'''

					UpperCamelCase__  ,			UpperCamelCase__		:    Any         =parse_search_arg(args.search				)
					UpperCamelCase__		:    Optional[Any]         =task_score_names[task]  # score cols first
					UpperCamelCase__		:    Tuple         ={col: len(str(UpperCAmelCase				)				) for col in col_names}
					UpperCamelCase__		:    str         =[]
					for r in matrix:
										UpperCamelCase__		:    int         =dict((x.replace('''--'''      ,							''''''				).split() for x in r)				)
										UpperCamelCase__		:    Tuple         =''' '''.join(UpperCAmelCase				).split()
										args_exp.extend(['''--bs''', str(args.bs				)]				)  # in case we need to reduce its size due to CUDA OOM
										UpperCamelCase__		:    Optional[Any]         =args_normal + args_exp

										# XXX: need to trap CUDA OOM and lower args.bs if that happens and retry

										UpperCamelCase__		:    str         =run_generate(verbose=UpperCAmelCase				)
										# make sure scores are first in the table
										UpperCamelCase__		:    List[str]         =OrderedDict()
										for score in task_score_names[task]:
															UpperCamelCase__		:    Union[str, Any]         =scores[score]
										result.update(UpperCAmelCase				)
										results.append(UpperCAmelCase				)

										# find widest entries
										for k, v in result.items():
															UpperCamelCase__		:    Optional[Any]         =len(str(UpperCAmelCase				)				)
															if l > col_widths[k]:
																				UpperCamelCase__		:    Dict         =l

					UpperCamelCase__		:    List[str]         =sorted(UpperCAmelCase      ,							key=operator.itemgetter(*task_score_names[task]				)      ,							reverse=UpperCAmelCase				)
					print(''' | '''.join([F'''{col:{col_widths[col]}}''' for col in col_names]				)				)
					print(''' | '''.join([F'''{'-'*col_widths[col]}''' for col in col_names]				)				)
					for row in results_sorted:
										print(''' | '''.join([F'''{row[col]:{col_widths[col]}}''' for col in col_names]				)				)

					UpperCamelCase__		:    Optional[int]         =results_sorted[0]
					for score in task_score_names[task]:
										del best[score]
					UpperCamelCase__		:    Optional[Any]         =[F'''--{k} {v}''' for k, v in best.items()]
					UpperCamelCase__		:    List[str]         =['''--bs''', str(args.bs				)]
					if args.info:
										print(F'''\nInfo: {args.info}'''				)
					print('''\nBest score args:'''				)
					print(''' '''.join(args_main + best_args + dyn_args				)				)

					return results_sorted


if __name__ == "__main__":
				# Usage:
				# [normal-run_eval_search.py cmd plus] \
				# --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
				#
				# Example:
				# PYTHONPATH="src:examples/seq2seq" python examples/seq2seq/run_eval_search.py $MODEL_NAME \
				# $DATA_DIR/val.source $SAVE_DIR/test_translations.txt --reference_path $DATA_DIR/val.target \
				# --score_path $SAVE_DIR/test_bleu.json --bs $BS --task translation \
				# --search="num_beams=1:5:10 length_penalty=0.8:1:1.2 early_stopping=true:false"
				run_search()





"""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)


