

a_         =      {
    "0000": "0",
    "0001": "1",
    "0010": "2",
    "0011": "3",
    "0100": "4",
    "0101": "5",
    "0110": "6",
    "0111": "7",
    "1000": "8",
    "1001": "9",
    "1010": "a",
    "1011": "b",
    "1100": "c",
    "1101": "d",
    "1110": "e",
    "1111": "f",
}

def 	lowerCamelCase__	(   _a):
 SCREAMING_SNAKE_CASE				: List[Any]			       =    str(__lowercase).strip()

 # Exceptions
 if not binary_str:
  raise ValueError("Empty string was passed to the function")
 SCREAMING_SNAKE_CASE				: Tuple			       =    binary_str[0] == "-"
 SCREAMING_SNAKE_CASE				: Optional[Any]			       =    binary_str[1:] if is_negative else binary_str
 if not all(char in "01" for char in binary_str):
  raise ValueError("Non-binary value was passed to the function")

 SCREAMING_SNAKE_CASE				: Dict			       =    (
     "0" * (4 * (divmod(len(__lowercase)							,     4)[0] + 1) - len(__lowercase)) + binary_str
 )

 SCREAMING_SNAKE_CASE				: Optional[Any]			       =    []
 for x in range(0							,     len(__lowercase)							,     4):
  hexadecimal.append(BITS_TO_HEX[binary_str[x : x + 4]])
 SCREAMING_SNAKE_CASE				: List[str]			       =    "0x" + "".join(__lowercase)

 return "-" + hexadecimal_str if is_negative else hexadecimal_str


if __name__ == "__main__":
   from doctest import testmod

   testmod()


from typing import TYPE_CHECKING

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


a_         =      {
    'configuration_codegen': ['CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'CodeGenConfig', 'CodeGenOnnxConfig'],
    'tokenization_codegen': ['CodeGenTokenizer'],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a_         =      ['CodeGenTokenizerFast']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a_         =      [
			    'CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'CodeGenForCausalLM',
			    'CodeGenModel',
			    'CodeGenPreTrainedModel',
			]

if TYPE_CHECKING:
			from .configuration_codegen import CODEGEN_PRETRAINED_CONFIG_ARCHIVE_MAP, CodeGenConfig, CodeGenOnnxConfig
			from .tokenization_codegen import CodeGenTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_codegen_fast import CodeGenTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_codegen import (
						    CODEGEN_PRETRAINED_MODEL_ARCHIVE_LIST,
						    CodeGenForCausalLM,
						    CodeGenModel,
						    CodeGenPreTrainedModel,
						)

else:
			import sys

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