




'''simple docstring'''

import math
import os
import sys


def 		__magic_name__    (	__UpperCAmelCase	)		->					str:

					'''simple docstring'''

					snake_case_									=				''''''
					try:
										with open(__UpperCAmelCase,      '''rb'''	) as binary_file:
															snake_case_									=				binary_file.read()
										for dat in data:
															snake_case_									=				F"{dat:08b}"
															result += curr_byte
										return result
					except OSError:
										print('''File not accessible'''	)
										sys.exit()


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase	)		->					None:

					'''simple docstring'''

					lexicon.pop(__UpperCAmelCase	)
					snake_case_									=				last_match_id

					if math.loga(__UpperCAmelCase	).is_integer():
										for curr_key in lexicon:
															snake_case_									=				'''0''' + lexicon[curr_key]

					snake_case_									=				bin(__UpperCAmelCase	)[2:]


def 		__magic_name__    (	__UpperCAmelCase	)		->					str:

					'''simple docstring'''

					snake_case_									=				{'''0''': '''0''', '''1''': '''1'''}
					snake_case_			,snake_case_									=				'''''', ''''''
					snake_case_									=				len(__UpperCAmelCase	)

					for i in range(len(__UpperCAmelCase	)	):
										curr_string += data_bits[i]
										if curr_string not in lexicon:
															continue

										snake_case_									=				lexicon[curr_string]
										result += last_match_id
										add_key_to_lexicon(__UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase,      __UpperCAmelCase	)
										index += 1
										snake_case_									=				''''''

					while curr_string != "" and curr_string not in lexicon:
										curr_string += "0"

					if curr_string != "":
										snake_case_									=				lexicon[curr_string]
										result += last_match_id

					return result


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase	)		->					str:

					'''simple docstring'''

					snake_case_									=				os.path.getsize(__UpperCAmelCase	)
					snake_case_									=				bin(__UpperCAmelCase	)[2:]
					snake_case_									=				len(__UpperCAmelCase	)

					return "0" * (length_length - 1) + file_length_binary + compressed


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase	)		->					None:

					'''simple docstring'''

					snake_case_									=				8
					try:
										with open(__UpperCAmelCase,      '''wb'''	) as opened_file:
															snake_case_									=				[
															    to_write[i : i + byte_length]
															    for i in range(0,      len(__UpperCAmelCase	),      __UpperCAmelCase	)
															]

															if len(result_byte_array[-1]	) % byte_length == 0:
																				result_byte_array.append('''10000000'''	)
															else:
																				result_byte_array[-1] += "1" + "0" * (
																				    byte_length - len(result_byte_array[-1]	) - 1
																				)

															for elem in result_byte_array:
																				opened_file.write(int(__UpperCAmelCase,      2	).to_bytes(1,      byteorder='''big'''	)	)
					except OSError:
										print('''File not accessible'''	)
										sys.exit()


def 		__magic_name__    (	__UpperCAmelCase,      __UpperCAmelCase	)		->					None:

					'''simple docstring'''

					snake_case_									=				read_file_binary(__UpperCAmelCase	)
					snake_case_									=				compress_data(__UpperCAmelCase	)
					snake_case_									=				add_file_length(__UpperCAmelCase,      __UpperCAmelCase	)
					write_file_binary(__UpperCAmelCase,      __UpperCAmelCase	)


if __name__ == "__main__":
							compress(sys.argv[1], sys.argv[2])







'''simple docstring'''

from typing import TYPE_CHECKING

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


a  :				Tuple									=  {
    'configuration_llama': ['LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LlamaConfig'],
}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a  :				Optional[Any]									=  ['LlamaTokenizer']

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

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a  :				Optional[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

							a  :				str									=  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

