'''simple docstring'''


from __future__ import annotations





def       lowerCAmelCase					(		UpperCamelCase__				:   list[int]       ):  # This function is recursive


	"""simple docstring"""
	__UpperCAmelCase							=			len(UpperCamelCase__       )
	# If the array contains only one element, we return it (it's the stop condition of
	# recursion)
	if array_length <= 1:
		return array
		# Else
	__UpperCAmelCase							=			array[0]
	__UpperCAmelCase							=			False
	__UpperCAmelCase							=			1
	__UpperCAmelCase							=			[]
	while not is_found and i < array_length:
		if array[i] < pivot:
			__UpperCAmelCase							=			True
			__UpperCAmelCase							=			[element for element in array[i:] if element >= array[i]]
			__UpperCAmelCase							=			longest_subsequence(UpperCamelCase__       )
			if len(UpperCamelCase__       ) > len(UpperCamelCase__       ):
				__UpperCAmelCase							=			temp_array
		else:
			i += 1

	__UpperCAmelCase							=			[element for element in array[1:] if element >= pivot]
	__UpperCAmelCase							=			[pivot, *longest_subsequence(UpperCamelCase__       )]
	if len(UpperCamelCase__       ) > len(UpperCamelCase__       ):
		return temp_array
	else:
		return longest_subseq


if __name__ == "__main__":
					import doctest

					doctest.testmod()

'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCAmelCase	:       Optional[Any]						       =	{
    "configuration_llama": ["LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "LlamaConfig"],
}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowerCAmelCase	:       str						       =	["LlamaTokenizer"]

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowerCAmelCase	:       str						       =	["LlamaTokenizerFast"]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowerCAmelCase	:       Union[str, Any]						       =	[
					    "LlamaForCausalLM",
					    "LlamaModel",
					    "LlamaPreTrainedModel",
					    "LlamaForSequenceClassification",
					]


if TYPE_CHECKING:
					from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_llama import LlamaTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_llama_fast import LlamaTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
					import sys

					__lowerCAmelCase	:       Optional[Any]						       =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
