




import dataclasses
import enum
import functools
import math
import re

# The following script is adapted from the script of TaPas.
# Original: https://github.com/google-research/tapas/master/wikisql_utils.py
from typing import Any, List, Text


__SCREAMING_SNAKE_CASE    :   str       ="""none"""
__SCREAMING_SNAKE_CASE    :   Tuple       ="""none"""

def 			lowerCAmelCase_			(  lowerCamelCase:       int     ,				lowerCamelCase:       List[Any]						)					->			Tuple:


      '''simple docstring'''




      lowerCamelCase__        =				value.split(lowerCamelCase						)
      return len(lowerCamelCase						) > 1 and any((len(lowerCamelCase						) == 3 for x in split)						)

def 			lowerCAmelCase_			(  lowerCamelCase:       List[str]						)					->			int:


      '''simple docstring'''




      if isinstance(lowerCamelCase     ,				lowerCamelCase						):
            return value
      if isinstance(lowerCamelCase     ,				lowerCamelCase						):
            return float(lowerCamelCase						)
      if not isinstance(lowerCamelCase     ,				lowerCamelCase						):
            raise ValueError('Argument value is not a string. Can\'t parse it as float'						)
      lowerCamelCase__        =				value

      try:
            # Example: 1,000.7
            if "." in sanitized and "," in sanitized:
                  return float(sanitized.replace(','     ,				''						)						)
            # 1,000
            if "," in sanitized and _split_thousands(','     ,				lowerCamelCase						):
                  return float(sanitized.replace(','     ,				''						)						)
            # 5,5556
            if "," in sanitized and sanitized.count(','						) == 1 and not _split_thousands(','     ,				lowerCamelCase						):
                  return float(sanitized.replace(','     ,				'.'						)						)
            # 0.0.0.1
            if sanitized.count('.'						) > 1:
                  return float(sanitized.replace('.'     ,				''						)						)
            # 0,0,0,1
            if sanitized.count(','						) > 1:
                  return float(sanitized.replace(','     ,				''						)						)
            return float(lowerCamelCase						)
      except ValueError:
            # Avoid adding the sanitized value in the error message.
            raise ValueError('Unable to convert value to float'						)

def 			lowerCAmelCase_			(  lowerCamelCase:       str						)					->			Optional[Any]:


      '''simple docstring'''




      if answer is None:
            return None
      try:
            lowerCamelCase__        =				convert_to_float(lowerCamelCase						)
            if isinstance(lowerCamelCase     ,				lowerCamelCase						) and math.isnan(lowerCamelCase						):
                  return None
            return value
      except ValueError:
            return answer.lower()


__SCREAMING_SNAKE_CASE    :   Any       ={
    """text""": lambda x: x,
    """real""": convert_to_float,
}



class 			A			(		enum.Enum		):
     """simple docstring"""

     _snake_case:	List[str]     =0
     _snake_case:	Optional[int]     =1
     _snake_case:	int     =2
     _snake_case:	Tuple     =3
     _snake_case:	Dict     =4
     _snake_case:	Tuple     =5



class 			A			(		enum.Enum		):
     """simple docstring"""

     _snake_case:	Optional[int]     =0
     _snake_case:	List[str]     =1
     _snake_case:	str     =2



@dataclasses.dataclass
class 			A			:
     """simple docstring"""

     _snake_case:	Text
     _snake_case:	_Operator
     _snake_case:	Any
__SCREAMING_SNAKE_CASE    :   Any       =re.compile(R"""\w+|[^\w\s]+""", re.UNICODE | re.MULTILINE | re.DOTALL)

def 			lowerCAmelCase_			(  lowerCamelCase:       Optional[Any]						)					->			Optional[int]:


      '''simple docstring'''




      return list(_TOKENIZER.findall(x.lower()						)						)

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


      '''simple docstring'''




      if operator == _Operator.EQUALS:
            return src == tgt
      elif operator == _Operator.GREATER:
            return src > tgt
      elif operator == _Operator.LESSER:
            return src < tgt
      raise ValueError(f"""Unknown operator: {operator}"""						)

def 			lowerCAmelCase_			(  lowerCamelCase:       Optional[int]     ,				lowerCamelCase:       List[Any]     ,				lowerCamelCase:       Dict						)					->			Dict:


      '''simple docstring'''




      lowerCamelCase__        =				table['types']
      return _TYPE_CONVERTER[types[column]](lowerCamelCase						)

def 			lowerCAmelCase_			(  lowerCamelCase:       Dict						)					->			Union[str, Any]:


      '''simple docstring'''




      return isinstance(lowerCamelCase     ,				lowerCamelCase						)

def 			lowerCAmelCase_			(  lowerCamelCase:       int     ,				lowerCamelCase:       List[str]     ,				lowerCamelCase:       Tuple						)					->			Optional[Any]:


      '''simple docstring'''




      for cond in conditions:
            lowerCamelCase__        =				row[cond.column]

            lowerCamelCase__        =				_parse_value(lowerCamelCase     ,				cond.column     ,				cond.cmp_value						)

            if _is_string(lowerCamelCase						) and _is_string(lowerCamelCase						):
                  lowerCamelCase__        =				_normalize_for_match(lowerCamelCase						)
                  lowerCamelCase__        =				_normalize_for_match(lowerCamelCase						)

            if not isinstance(lowerCamelCase     ,				type(lowerCamelCase						)						):
                  raise ValueError('Type difference {} != {}'.format(type(lowerCamelCase						)     ,				type(lowerCamelCase						)						)						)

            if not _compare(cond.operator     ,				lowerCamelCase     ,				lowerCamelCase						):
                  return False
      return True

def 			lowerCAmelCase_			(  lowerCamelCase:       Optional[int]     ,				lowerCamelCase:       Dict     ,				lowerCamelCase:       str						)					->			Dict:


      '''simple docstring'''




      if not answer_coordinates:
            if aggregation_op == _Aggregation.COUNT:
                  return 0.0
            else:
                  return EMPTY_ANSWER_AGG

    # Count can support non numeric answers.
      if aggregation_op == _Aggregation.COUNT:
            return float(len(lowerCamelCase						)						)

      # If we have just one answer, if float returns it or try a conversion.
      lowerCamelCase__        =				[table['rows'][i][j] for (i, j) in answer_coordinates]
      if len(lowerCamelCase						) == 1:
            try:
                  return convert_to_float(values[0]						)
            except ValueError as e:
                  if aggregation_op != _Aggregation.NONE:
                        raise e

      if aggregation_op == _Aggregation.NONE:
            return None

      # Other aggregation only support numeric values. Bail out if we have strings.
      if not all((isinstance(lowerCamelCase     ,				(int, float)						) for v in values)						):
            return None

      if aggregation_op == _Aggregation.SUM:
            return float(sum(lowerCamelCase						)						)
      elif aggregation_op == _Aggregation.AVERAGE:
            return sum(lowerCamelCase						) / len(lowerCamelCase						)
      else:
            raise ValueError(f"""Unknown aggregation: {aggregation_op}"""						)

def 			lowerCAmelCase_			(  lowerCamelCase:       Any     ,				lowerCamelCase:       List[Any]						)					->			Optional[int]:


      '''simple docstring'''




      lowerCamelCase__        =				sql_query['agg']
      if aggregation_op_index >= 3:
            lowerCamelCase__        =				_Aggregation(lowerCamelCase						)
      else:
            lowerCamelCase__        =				_Aggregation.NONE

      lowerCamelCase__        =				sql_query['sel']
      lowerCamelCase__        =				[
          _Condition(lowerCamelCase     ,				_Operator(lowerCamelCase						)     ,				lowerCamelCase						)
          for column, operator, cmp_value in zip(
              sql_query['conds']['column_index']     ,				sql_query['conds']['operator_index']     ,				sql_query['conds']['condition']						)
      ]

      lowerCamelCase__        =				[]
      for row in range(len(table['rows']						)						):
            if _respect_conditions(lowerCamelCase     ,				table['rows'][row]     ,				lowerCamelCase						):
                  indices.append((row, target_column)						)

      if not indices:
            return [], aggregation_op

      if len(lowerCamelCase						) == 1:
            return indices, aggregation_op

      # Parsing of MIN/MAX.
      if aggregation_op_index in (1, 2):
            lowerCamelCase__        =				{2: min, 1: max}
            lowerCamelCase__        =				[(table['rows'][i][j], index) for index, (i, j) in enumerate(lowerCamelCase						)]
            lowerCamelCase__        =				functools.reduce(operators[sql_query['agg']]     ,				lowerCamelCase						)

            lowerCamelCase__        =				[indices[reduced[1]]]
            return ret, _Aggregation.NONE

      return indices, aggregation_op

def 			lowerCAmelCase_			(  lowerCamelCase:       Tuple     ,				lowerCamelCase:       List[Any]     ,				lowerCamelCase:       List[str]						)					->			Dict:


      '''simple docstring'''




      if float_answer is not None:
            return [str(lowerCamelCase						)]
      return [str(table['real_rows'][r][c]						) for r, c in answer_coordinates]


def 			lowerCAmelCase_			(  lowerCamelCase:       Tuple     ,				lowerCamelCase:       List[Any]						)					->			List:


      '''simple docstring'''




      lowerCamelCase__  ,		lowerCamelCase__        =				_get_answer_coordinates(lowerCamelCase     ,				lowerCamelCase						)
      lowerCamelCase__        =				_get_float_answer(lowerCamelCase     ,				lowerCamelCase     ,				lowerCamelCase						)
      lowerCamelCase__        =				_get_answer_text(lowerCamelCase     ,				lowerCamelCase     ,				lowerCamelCase						)
      # keep the original data the same with TaPas
      if len(lowerCamelCase						) == 0:
            lowerCamelCase__        =				[EMPTY_ANSWER]
      return answer_text





import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_with_pabee

from transformers.testing_utils import TestCasePlus


logging.basicConfig(level=logging.DEBUG)

__SCREAMING_SNAKE_CASE    :   List[str]       =logging.getLogger()

def 			lowerCAmelCase_			(  )					->			Any:


      '''simple docstring'''




      lowerCamelCase__        =				argparse.ArgumentParser()
      parser.add_argument('-f'						)
      lowerCamelCase__        =				parser.parse_args()
      return args.f






class 			A			(		_lowerCAmelCase		):
     """simple docstring"""

     def  __snake_case   (    self  :   Optional[Any]			)				->       Optional[Any]:
           lowerCamelCase__        =				logging.StreamHandler(sys.stdout			)
           logger.addHandler(A__			)

           lowerCamelCase__        =				self.get_auto_remove_tmp_dir()
           lowerCamelCase__        =				F"""
            run_glue_with_pabee.py
            --model_type albert
            --model_name_or_path albert-base-v2
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --task_name mrpc
            --do_train
            --do_eval
            --per_gpu_train_batch_size=2
            --per_gpu_eval_batch_size=1
            --learning_rate=2e-5
            --max_steps=50
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            """.split()

           with patch.object(A__	,  'argv'	,  A__			):
                 lowerCamelCase__        =				run_glue_with_pabee.main()
                 for value in result.values():
                       self.assertGreaterEqual(A__	,  0.75			)