
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
__lowerCAmelCase				      =					{
    'translation': ['bleu'],
    'summarization': ROUGE_KEYS,
}


def       a			(   a  )    ->List[Any]:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   search.split()
			SCREAMING_SNAKE_CASE    	=   dict((g.split('''='''  ) for g in groups)  )
			SCREAMING_SNAKE_CASE    	=   list(entries.keys()  )
			SCREAMING_SNAKE_CASE    	=   [[F"""--{k} {v}""" for v in vs.split(''':'''  )] for k, vs in entries.items()]
			SCREAMING_SNAKE_CASE    	=   [list(_SCREAMING_SNAKE_CASE  ) for x in itertools.product(*_SCREAMING_SNAKE_CASE  )]
			return matrix, entry_names


def       a			(   )    ->int:




			'''simple docstring'''


			SCREAMING_SNAKE_CASE    	=   sys.argv[0]

			SCREAMING_SNAKE_CASE    	=   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=_SCREAMING_SNAKE_CASE		,	required=_SCREAMING_SNAKE_CASE		,	help='''param space to search, e.g. "num_beams=5:10 length_penalty=0.8:1.0:1.2"'''		,	)
			parser.add_argument(
			    '''--bs'''		,	type=_SCREAMING_SNAKE_CASE		,	default=8		,	required=_SCREAMING_SNAKE_CASE		,	help='''initial batch size (may get reduced if it\'s too big)'''  )
			parser.add_argument('''--task'''		,	type=_SCREAMING_SNAKE_CASE		,	help='''used for task_specific_params + metrics'''  )
			parser.add_argument(
			    '''--info'''		,	nargs='''?'''		,	type=_SCREAMING_SNAKE_CASE		,	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.'''
			    )		,	)
			SCREAMING_SNAKE_CASE    	=   parser.parse_known_args()
			# we share some of the args
			args_main.extend(['''--task''', args.task]  )
			SCREAMING_SNAKE_CASE    	=   [prog] + args_main

			# to support variations like translation_en_to_de"
			SCREAMING_SNAKE_CASE    	=   'translation' if 'translation' in args.task else 'summarization'

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

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

						SCREAMING_SNAKE_CASE    	=   run_generate(verbose=_SCREAMING_SNAKE_CASE  )
						# make sure scores are first in the table
						SCREAMING_SNAKE_CASE    	=   OrderedDict()
						for score in task_score_names[task]:
									SCREAMING_SNAKE_CASE    	=   scores[score]
						result.update(_SCREAMING_SNAKE_CASE  )
						results.append(_SCREAMING_SNAKE_CASE  )

						# find widest entries
						for k, v in result.items():
									SCREAMING_SNAKE_CASE    	=   len(str(_SCREAMING_SNAKE_CASE  )  )
									if l > col_widths[k]:
												SCREAMING_SNAKE_CASE    	=   l

			SCREAMING_SNAKE_CASE    	=   sorted(_SCREAMING_SNAKE_CASE		,	key=operator.itemgetter(*task_score_names[task]  )		,	reverse=_SCREAMING_SNAKE_CASE  )
			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]  )  )

			SCREAMING_SNAKE_CASE    	=   results_sorted[0]
			for score in task_score_names[task]:
						del best[score]
			SCREAMING_SNAKE_CASE    	=   [F"""--{k} {v}""" for k, v in best.items()]
			SCREAMING_SNAKE_CASE    	=   ['--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()

import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info


def       a			(   a  )    ->Tuple:




			'''simple docstring'''


			class 						lowerCamelCase			:







				def __init__(    self			:int      ,    lowercase			:List[str] )		->			None:







							"""simple docstring"""






							assert isinstance(lowercase      ,    (bytes, str) )
							SCREAMING_SNAKE_CASE    	=   content







				def    snake_case__    (    self			:Optional[Any] )		->			Optional[int]:







							"""simple docstring"""






							return json.loads(self.content )

			def mock_response(*a		,	**a  ):
						assert args[0] == AUTHENTICATED_USER_ENDPOINT
						assert "Authorization" in kwargs["headers"]
						assert kwargs["headers"]["Authorization"].startswith('''token '''  )
						assert "Accept" in kwargs["headers"]
						return FakeResponse(B'''{"login":"test","id":1}'''  )

			monkeypatch.setattr(a		,	'''get'''		,	a  )
			SCREAMING_SNAKE_CASE    	=   fetch_github_info('''token'''  )
			assert result["login"] == "test"
			assert result["id"] == 1