


from __future__ import annotations







def     __magic_name__  (      lowerCAmelCase_      ,					lowerCAmelCase_):
	'''simple docstring'''


	lowerCamelCase_			:							Dict      =       [None] * (len(lowerCAmelCase_) + len(lowerCAmelCase_))

	lowerCamelCase_			:							Dict      =       0  # pointer to current index for left Half
	lowerCamelCase_			:							Dict      =       0  # pointer to current index for the right Half
	lowerCamelCase_			:							List[Any]      =       0  # pointer to current index for the sorted array Half

	while pointera < len(lowerCAmelCase_) and pointera < len(lowerCAmelCase_):
		if left_half[pointera] < right_half[pointera]:
			lowerCamelCase_			:							Optional[int]      =       left_half[pointera]
			pointera += 1
			index += 1
		else:
			lowerCamelCase_			:							str      =       right_half[pointera]
			pointera += 1
			index += 1
	while pointera < len(lowerCAmelCase_):
		lowerCamelCase_			:							Union[str, Any]      =       left_half[pointera]
		pointera += 1
		index += 1

	while pointera < len(lowerCAmelCase_):
		lowerCamelCase_			:							Optional[Any]      =       right_half[pointera]
		pointera += 1
		index += 1

	return sorted_array







def     __magic_name__  (      lowerCAmelCase_):
	'''simple docstring'''


	if len(lowerCAmelCase_) <= 1:
		return array
	# the actual formula to calculate the middle element = left + (right - left) // 2
	# this avoids integer overflow in case of large N
	lowerCamelCase_			:							Optional[Any]      =       0 + (len(lowerCAmelCase_) - 0) // 2

	# Split the array into halves till the array length becomes equal to One
	# merge the arrays of single length returned by mergeSort function and
	# pass them into the merge arrays function which merges the array
	lowerCamelCase_			:							Dict      =       array[:middle]
	lowerCamelCase_			:							List[str]      =       array[middle:]

	return merge(merge_sort(lowerCAmelCase_)      ,					merge_sort(lowerCAmelCase_))


if __name__ == "__main__":
							import doctest

							doctest.testmod()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__magic_name__       					=      {'''configuration_levit''': ['''LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LevitConfig''', '''LevitOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__magic_name__       					=      ['''LevitFeatureExtractor''']
							__magic_name__       					=      ['''LevitImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__magic_name__       					=      [
							    '''LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''LevitForImageClassification''',
							    '''LevitForImageClassificationWithTeacher''',
							    '''LevitModel''',
							    '''LevitPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_levit import LevitFeatureExtractor
														from .image_processing_levit import LevitImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_levit import (
														    LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    LevitForImageClassification,
														    LevitForImageClassificationWithTeacher,
														    LevitModel,
														    LevitPreTrainedModel,
														)
else:
							import sys

							__magic_name__       					=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

