
import argparse
import json
import re
import string
import sys
from collections import Counter






def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):

    def remove_articles(__lowerCAmelCase							):
        return re.sub(R"\b(a|an|the)\b"      ,						" "      ,						SCREAMING_SNAKE_CASE_							)

    def white_space_fix(__lowerCAmelCase							):
        return " ".join(text.split()							)

    def remove_punc(__lowerCAmelCase							):
        snake_case__  =			set(string.punctuation							)
        return "".join(ch for ch in text if ch not in exclude							)

    def lower(__lowerCAmelCase							):
        return text.lower()

    return white_space_fix(remove_articles(remove_punc(lower(SCREAMING_SNAKE_CASE_							)							)							)							)






def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase							):
    snake_case__  =			normalize_answer(SCREAMING_SNAKE_CASE_							).split()
    snake_case__  =			normalize_answer(SCREAMING_SNAKE_CASE_							).split()
    snake_case__  =			Counter(SCREAMING_SNAKE_CASE_							) & Counter(SCREAMING_SNAKE_CASE_							)
    snake_case__  =			sum(common.values()							)
    if num_same == 0:
        return 0
    snake_case__  =			1.0 * num_same / len(SCREAMING_SNAKE_CASE_							)
    snake_case__  =			1.0 * num_same / len(SCREAMING_SNAKE_CASE_							)
    snake_case__  =			(2 * precision * recall) / (precision + recall)
    return fa






def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase							):
    return normalize_answer(SCREAMING_SNAKE_CASE_							) == normalize_answer(SCREAMING_SNAKE_CASE_							)






def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase      ,						__lowerCAmelCase							):
    snake_case__  =			[]
    for ground_truth in ground_truths:
        snake_case__  =			metric_fn(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_							)
        scores_for_ground_truths.append(SCREAMING_SNAKE_CASE_							)
    return max(SCREAMING_SNAKE_CASE_							)






def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase							):
    snake_case__  =			snake_case__  =			snake_case__  =			0
    for article in dataset:
        for paragraph in article["paragraphs"]:
            for qa in paragraph["qas"]:
                total += 1
                if qa["id"] not in predictions:
                    snake_case__  =			"Unanswered question " + qa["id"] + " will receive score 0."
                    print(SCREAMING_SNAKE_CASE_      ,						file=sys.stderr							)
                    continue
                snake_case__  =			[x["text"] for x in qa["answers"]]
                snake_case__  =			predictions[qa["id"]]
                exact_match += metric_max_over_ground_truths(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_							)
                fa += metric_max_over_ground_truths(SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_      ,						SCREAMING_SNAKE_CASE_							)

    snake_case__  =			100.0 * exact_match / total
    snake_case__  =			100.0 * fa / total

    return {"exact_match": exact_match, "f1": fa}


if __name__ == "__main__":
     __magic_name__           =					'''1.1'''
     __magic_name__           =					argparse.ArgumentParser(description='''Evaluation for SQuAD ''' + expected_version)
     parser.add_argument('''dataset_file''', help='''Dataset file''')
     parser.add_argument('''prediction_file''', help='''Prediction File''')
     __magic_name__           =					parser.parse_args()
     with open(args.dataset_file) as dataset_file:
          __magic_name__           =					json.load(dataset_file)
          if dataset_json["version"] != expected_version:
               print(
                   '''Evaluation expects v-''' + expected_version + ''', but got dataset with v-''' + dataset_json['''version'''],
                   file=sys.stderr,
               )
          __magic_name__           =					dataset_json['''data''']
     with open(args.prediction_file) as prediction_file:
          __magic_name__           =					json.load(prediction_file)
     print(json.dumps(evaluate(dataset, predictions)))





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__magic_name__           =					logging.get_logger(__name__)

__magic_name__           =					{
    '''MBZUAI/swiftformer-xs''': '''https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json''',
}




class    _SCREAMING_SNAKE_CASE					( __UpperCamelCase	):
      _A  :						Any      		=       'swiftformer'
      def __init__(     self						,		lowerCamelCase=3						,		lowerCamelCase=[3, 3, 6, 4]						,		lowerCamelCase=[48, 56, 1_12, 2_20]						,		lowerCamelCase=4						,		lowerCamelCase=[True, True, True, True]						,		lowerCamelCase="gelu"						,		lowerCamelCase=3						,		lowerCamelCase=2						,		lowerCamelCase=1						,		lowerCamelCase=0.0						,		lowerCamelCase=True						,		lowerCamelCase=1e-5						,		lowerCamelCase=1e-5						,		**lowerCamelCase						,		):
          super().__init__(**lowerCamelCase	)
          snake_case__  =			num_channels
          snake_case__  =			depths
          snake_case__  =			embed_dims
          snake_case__  =			mlp_ratio
          snake_case__  =			downsamples
          snake_case__  =			hidden_act
          snake_case__  =			down_patch_size
          snake_case__  =			down_stride
          snake_case__  =			down_pad
          snake_case__  =			drop_path_rate
          snake_case__  =			use_layer_scale
          snake_case__  =			layer_scale_init_value
          snake_case__  =			batch_norm_eps





class    _SCREAMING_SNAKE_CASE					( __UpperCamelCase	):
      _A  :						int      		=       version.parse('1.11'	)
      @property
      def A_     (     self	):
          return OrderedDict(
              [
                  ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ]	)



      @property
      def A_     (     self	):
          return 1e-4



