



from __future__ import annotations





def 							A			(  _UpperCAmelCase       :     list[int | str]					)       ->				None:







			'''simple docstring'''
			create_state_space_tree(_UpperCAmelCase							,     []							,     0							,     [0 for i in range(len(_UpperCAmelCase					)					)]					)





def 							A			(  _UpperCAmelCase       :     list[int | str]							,     _UpperCAmelCase       :     list[int | str]							,     _UpperCAmelCase       :     int							,     _UpperCAmelCase       :     list[int]							,     )       ->				None:







			'''simple docstring'''

			if index == len(_UpperCAmelCase					):
						print(_UpperCAmelCase					)
						return

			for i in range(len(_UpperCAmelCase					)					):
						if not index_used[i]:
									current_sequence.append(sequence[i]					)
									_UpperCAmelCase	 =     True
									create_state_space_tree(_UpperCAmelCase							,     _UpperCAmelCase							,     index + 1							,     _UpperCAmelCase					)
									current_sequence.pop()
									_UpperCAmelCase	 =     False
UpperCAmelCase__     = [3, 1, 2, 4]
generate_all_permutations(sequence)

UpperCAmelCase__     = ["A", "B", "C"]

generate_all_permutations(sequence_a)





from typing import TYPE_CHECKING

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


UpperCAmelCase__     = {
    "configuration_ctrl": ["CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CTRLConfig"],
    "tokenization_ctrl": ["CTRLTokenizer"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__     = [
							    "CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "CTRLForSequenceClassification",
							    "CTRLLMHeadModel",
							    "CTRLModel",
							    "CTRLPreTrainedModel",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__     = [
							    "TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "TFCTRLForSequenceClassification",
							    "TFCTRLLMHeadModel",
							    "TFCTRLModel",
							    "TFCTRLPreTrainedModel",
							]


if TYPE_CHECKING:
							from .configuration_ctrl import CTRL_PRETRAINED_CONFIG_ARCHIVE_MAP, CTRLConfig
							from .tokenization_ctrl import CTRLTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_ctrl import (
														    CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
														    CTRLForSequenceClassification,
														    CTRLLMHeadModel,
														    CTRLModel,
														    CTRLPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_ctrl import (
														    TF_CTRL_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFCTRLForSequenceClassification,
														    TFCTRLLMHeadModel,
														    TFCTRLModel,
														    TFCTRLPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase__     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
