
"""simple docstring"""


import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


A_    							=					logging.getLogger(__name__)




@dataclass
@add_start_docstrings(TrainingArguments.__doc__			)
class  __lowerCamelCase  ( lowerCAmelCase			):
				a__:      bool          =    field(default=lowerCAmelCase						,	metadata={'help': 'Whether to use SortishSampler or not.'}			)
				a__:      bool          =    field(
				    default=lowerCAmelCase						,	metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'}			)
				a__:      Optional[int]          =    field(
				    default=lowerCAmelCase						,	metadata={
				        'help': (
				            'The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '
				            'to the `max_length` value of the model configuration.'
				        )
				    }						,	)
				a__:      Optional[int]          =    field(
				    default=lowerCAmelCase						,	metadata={
				        'help': (
				            'The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '
				            'to the `num_beams` value of the model configuration.'
				        )
				    }						,	)
				a__:      Optional[Union[str, Path, GenerationConfig]]          =    field(
				    default=lowerCAmelCase						,	metadata={
				        'help': 'Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'
				    }						,	)




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  super().to_dict()
							for k, v in d.items():
										if isinstance(UpperCAmelCase							,						UpperCAmelCase   ):
													lowerCamelCase_					=  v.to_dict()
							return d





"""simple docstring"""


def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  generate_pascal_triangle(lowerCAmelCase__						)
			for row_idx in range(lowerCAmelCase__						):
						# Print left spaces
						for _ in range(num_rows - row_idx - 1						):
									print(end=''' '''						)
						# Print row values
						for col_idx in range(row_idx + 1						):
									if col_idx != row_idx:
												print(triangle[row_idx][col_idx]	,end=''' '''						)
									else:
												print(triangle[row_idx][col_idx]	,end=''''''						)
						print()






def  lowercase						(	lowerCAmelCase__						):

			if not isinstance(lowerCAmelCase__	,lowerCAmelCase__						):
						raise TypeError('''The input value of \'num_rows\' should be \'int\''''						)

			if num_rows == 0:
						return []
			elif num_rows < 0:
						raise ValueError(
						    '''The input value of \'num_rows\' should be greater than or equal to 0'''						)

			lowerCamelCase_					=  []
			for current_row_idx in range(lowerCAmelCase__						):
						lowerCamelCase_					=  populate_current_row(lowerCAmelCase__	,lowerCAmelCase__						)
						triangle.append(lowerCAmelCase__						)
			return triangle






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__						):
			lowerCamelCase_					=  [-1] * (current_row_idx + 1)
			# first and last elements of current row are equal to 1
			lowerCamelCase_		, lowerCamelCase_					=  1, 1
			for current_col_idx in range(1	,lowerCAmelCase__						):
						calculate_current_element(
						    lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__						)
			return current_row






def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,):
			lowerCamelCase_					=  triangle[current_row_idx - 1][current_col_idx - 1]
			lowerCamelCase_					=  triangle[current_row_idx - 1][current_col_idx]
			lowerCamelCase_					=  above_to_left_elt + above_to_right_elt






def  lowercase						(	lowerCAmelCase__						):

			if not isinstance(lowerCAmelCase__	,lowerCAmelCase__						):
						raise TypeError('''The input value of \'num_rows\' should be \'int\''''						)

			if num_rows == 0:
						return []
			elif num_rows < 0:
						raise ValueError(
						    '''The input value of \'num_rows\' should be greater than or equal to 0'''						)

			lowerCamelCase_					=  [[1]]

			for row_index in range(1	,lowerCAmelCase__						):
						lowerCamelCase_					=  [0] + result[-1] + [0]
						lowerCamelCase_					=  row_index + 1
						# Calculate the number of distinct elements in a row
						lowerCamelCase_					=  sum(divmod(lowerCAmelCase__	,2						)						)
						lowerCamelCase_					=  [
						    temp_row[i - 1] + temp_row[i] for i in range(1	,distinct_elements + 1						)
						]
						lowerCamelCase_					=  row_first_half[: (row_index + 1) // 2]
						row_second_half.reverse()
						lowerCamelCase_					=  row_first_half + row_second_half
						result.append(lowerCAmelCase__						)

			return result






def  lowercase						(	):
			from collections.abc import Callable
			from timeit import timeit

			def benchmark_a_function(lowerCAmelCase__	,lowerCAmelCase__						) -> None:
						lowerCamelCase_					=  f"{func.__name__}({value})"
						lowerCamelCase_					=  timeit(f"__main__.{call}"	,setup='''import __main__'''						)
						# print(f"{call:38} = {func(value)} -- {timing:.4f} seconds")
						print(f"{call:38} -- {timing:.4f} seconds"						)

			for value in range(15						):  # (1, 7, 14):
						for func in (generate_pascal_triangle, generate_pascal_triangle_optimized):
									benchmark_a_function(lowerCAmelCase__	,lowerCAmelCase__						)
						print()


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						benchmark()



