

'''simple docstring'''

from __future__ import annotations

def      __magic_name__							(			A       , A				)      ->		list[int]:
	assert len(A				) == len(A				)

	snake_case							=					len(A				)
	snake_case							=					list(range(A				)				)
	snake_case							=					[-1] * n  # who the donor has donated to
	snake_case							=					[-1] * n  # who the recipient has received from
	snake_case							=					[0] * n

	while unmatched_donors:
		snake_case							=					unmatched_donors[0]
		snake_case							=					donor_pref[donor]
		snake_case							=					donor_preference[num_donations[donor]]
		num_donations[donor] += 1
		snake_case							=					recipient_pref[recipient]
		snake_case							=					rec_record[recipient]

		if prev_donor != -1:
			if rec_preference.index(A				) > rec_preference.index(A				):
				snake_case							=					donor
				snake_case							=					recipient
				unmatched_donors.append(A				)
				unmatched_donors.remove(A				)
		else:
			snake_case							=					donor
			snake_case							=					recipient
			unmatched_donors.remove(A				)
	return donor_record












from typing import TYPE_CHECKING

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


UpperCamelCase__ :			Any       	=			{
    """configuration_splinter""": ["""SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SplinterConfig"""],
    """tokenization_splinter""": ["""SplinterTokenizer"""],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__ :			Any       	=			["""SplinterTokenizerFast"""]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__ :			Union[str, Any]       	=			[
				    """SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """SplinterForQuestionAnswering""",
				    """SplinterForPreTraining""",
				    """SplinterLayer""",
				    """SplinterModel""",
				    """SplinterPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig
				from .tokenization_splinter import SplinterTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_splinter_fast import SplinterTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_splinter import (
								    SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    SplinterForPreTraining,
								    SplinterForQuestionAnswering,
								    SplinterLayer,
								    SplinterModel,
								    SplinterPreTrainedModel,
								)


else:
				import sys

				UpperCamelCase__ :			List[str]       	=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


