

"""simple docstring"""




import json
import os
import pickle
import subprocess
from hashlib import mda
from pathlib import Path
from tempfile import gettempdir
from textwrap import dedent
from types import CodeType, FunctionType
from unittest import TestCase
from unittest.mock import patch

import pytest
from multiprocess import Pool
from packaging import version

import datasets
from datasets.fingerprint import Hasher, fingerprint_transform
from datasets.table import InMemoryTable

from .utils import (
    require_regex,
    require_spacy,
    require_spacy_model,
    require_tiktoken,
    require_torch,
    require_transformers,
)





class     __UpperCamelCase				:


		def __init__(self				:	Union[str, Any]  ,  __SCREAMING_SNAKE_CASE				:	Union[str, Any]):
							A    =      foo


		def __call__(self				:	List[Any]):
							return self.foo





class     __UpperCamelCase				(     datasets.Dataset		):


		@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE)
		def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]  ,  __SCREAMING_SNAKE_CASE				:	int  ,  *__SCREAMING_SNAKE_CASE				:	Optional[int]  ,  **__SCREAMING_SNAKE_CASE				:	Union[str, Any]):
							return DatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)


		@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE)
		def       SCREAMING_SNAKE_CASE__     (self				:	Optional[Any]  ,  __SCREAMING_SNAKE_CASE				:	int  ,  *__SCREAMING_SNAKE_CASE				:	Union[str, Any]  ,  **__SCREAMING_SNAKE_CASE				:	List[str]):
							return DatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)





class     __UpperCamelCase				:


		def __init__(self				:	Tuple  ,  __SCREAMING_SNAKE_CASE				:	Optional[int]):
							A    =      callable


		def __call__(self				:	Tuple  ,  *__SCREAMING_SNAKE_CASE				:	Tuple  ,  **__SCREAMING_SNAKE_CASE				:	Optional[Any]):
							if self.callable is not None:
												return self.callable(*__SCREAMING_SNAKE_CASE  ,  **__SCREAMING_SNAKE_CASE)


		def __getstate__(self				:	Dict):
							raise pickle.PicklingError()





class     __UpperCamelCase				(     _A		):


		@require_transformers
		@pytest.mark.integration
		def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]):
							from transformers import AutoTokenizer

							def encode(__SCREAMING_SNAKE_CASE				:	str):
												return tokenizer(__SCREAMING_SNAKE_CASE)

							# TODO: add hash consistency tests across sessions
							A    =      AutoTokenizer.from_pretrained("bert-base-uncased")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(lambda __SCREAMING_SNAKE_CASE: tokenizer(__SCREAMING_SNAKE_CASE))).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      AutoTokenizer.from_pretrained("bert-base-cased")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(lambda __SCREAMING_SNAKE_CASE: tokenizer(__SCREAMING_SNAKE_CASE))).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      AutoTokenizer.from_pretrained("bert-base-uncased")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(lambda __SCREAMING_SNAKE_CASE: tokenizer(__SCREAMING_SNAKE_CASE))).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		@require_transformers
		@pytest.mark.integration
		def       SCREAMING_SNAKE_CASE__     (self				:	str):
							from transformers import AutoTokenizer

							A    =      AutoTokenizer.from_pretrained("gpt2")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							tokenizer("Hello world !")  # call once to change the tokenizer's cache
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		@require_regex
		def       SCREAMING_SNAKE_CASE__     (self				:	int):
							import regex

							A    =      regex.Regex("foo")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      regex.Regex("bar")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      regex.Regex("foo")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)





class     __UpperCamelCase				(     _A		):


		def       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]):
							def func():
												return foo

							A    =      [0]
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      [1]
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      [0]
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	List[str]):
							def func():
												pass

							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()

							def func():
												pass

							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	Dict):
							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(Foo([1]))).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]))).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	str):
							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(Foo([1]).__call__)).hexdigest()
							A    =      mda(datasets.utils.py_utils.dumps(Foo([0]).__call__)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	str):
							A    =      (
							    "co_argcount",
							    "co_kwonlyargcount",
							    "co_nlocals",
							    "co_stacksize",
							    "co_flags",
							    "co_code",
							    "co_consts",
							    "co_names",
							    "co_varnames",
							    "co_filename",
							    "co_name",
							    "co_firstlineno",
							    "co_lnotab",
							    "co_freevars",
							    "co_cellvars",
							)

							def _create_code_pyaa(*__SCREAMING_SNAKE_CASE				:	str):
												if hasattr(args[-3]  ,  "encode"):
																	A    =      list(__SCREAMING_SNAKE_CASE)
																	A    =      args[-3].encode()  # co_lnotab
																	A    =      args[-1_0].encode()  # co_code
												if hasattr(__SCREAMING_SNAKE_CASE  ,  "co_posonlyargcount"):
																	if len(__SCREAMING_SNAKE_CASE) == 1_6:
																						return CodeType(*__SCREAMING_SNAKE_CASE)
																	elif len(__SCREAMING_SNAKE_CASE) == 1_5:
																						return CodeType(args[0]  ,  0  ,  *args[1:])
																	return CodeType(args[0]  ,  0  ,  0  ,  *args[1:])
												elif hasattr(__SCREAMING_SNAKE_CASE  ,  "co_kwonlyargcount"):
																	if len(__SCREAMING_SNAKE_CASE) == 1_6:
																						return CodeType(args[0]  ,  *args[2:])
																	elif len(__SCREAMING_SNAKE_CASE) == 1_5:
																						return CodeType(*__SCREAMING_SNAKE_CASE)
																	return CodeType(args[0]  ,  0  ,  *args[1:])
												if len(__SCREAMING_SNAKE_CASE) == 1_6:
																	return CodeType(args[0]  ,  *args[3:])
												elif len(__SCREAMING_SNAKE_CASE) == 1_5:
																	return CodeType(args[0]  ,  *args[2:])
												return CodeType(*__SCREAMING_SNAKE_CASE)

							def create_ipython_func(__SCREAMING_SNAKE_CASE				:	List[str]  ,  __SCREAMING_SNAKE_CASE				:	int):
												def func():
																	return returned_obj

												A    =      func.__code__
												# Use _create_code from dill in order to make it work for different python versions
												if datasets.config.PY_VERSION < version.parse("3.8"):
																	A    =      _create_code_pyaa(
																	    *[getattr(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE) if k != "co_filename" else co_filename for k in code_args_pyaa])
												else:
																	A    =      code.replace(co_filename=__SCREAMING_SNAKE_CASE)
												return FunctionType(__SCREAMING_SNAKE_CASE  ,  func.__globals__  ,  func.__name__  ,  func.__defaults__  ,  func.__closure__)

							A    ,					A    =      "<ipython-input-2-e0383a102aae>", [0]
							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
							A    ,					A    =      "<ipython-input-2-e0383a102aae>", [1]
							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
							A    ,					A    =      "<ipython-input-5-713f6613acf3>", [0]
							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)

							A    ,					A    =      os.path.join(gettempdir()  ,  "ipykernel_12345"  ,  "321456789.py"), [0]
							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
							A    ,					A    =      os.path.join(gettempdir()  ,  "ipykernel_12345"  ,  "321456789.py"), [1]
							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
							A    ,					A    =      os.path.join(gettempdir()  ,  "ipykernel_12345"  ,  "654123987.py"), [0]
							A    =      mda(datasets.utils.py_utils.dumps(create_ipython_func(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE))).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	Any):
							A    ,					A    =      [0], [1]

							def func():
												return foo, bar

							A    =      "__main__"

							def globalvars_mocka_side_effect(__SCREAMING_SNAKE_CASE				:	Tuple  ,  *__SCREAMING_SNAKE_CASE				:	str  ,  **__SCREAMING_SNAKE_CASE				:	List[Any]):
												return {"foo": foo, "bar": bar}

							def globalvars_mocka_side_effect(__SCREAMING_SNAKE_CASE				:	Any  ,  *__SCREAMING_SNAKE_CASE				:	Any  ,  **__SCREAMING_SNAKE_CASE				:	Dict):
												return {"bar": bar, "foo": foo}

							with patch("dill.detect.globalvars"  ,  side_effect=__SCREAMING_SNAKE_CASE) as globalvars_mocka:
												A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
												self.assertGreater(globalvars_mocka.call_count  ,  0)
							with patch("dill.detect.globalvars"  ,  side_effect=__SCREAMING_SNAKE_CASE) as globalvars_mocka:
												A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
												self.assertGreater(globalvars_mocka.call_count  ,  0)
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)





class     __UpperCamelCase				(     _A		):


		def       SCREAMING_SNAKE_CASE__     (self				:	Dict):
							A    =      Hasher.hash("hello")
							A    =      Hasher.hash("hello")
							A    =      Hasher.hash("there")
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	Any):
							A    =      Hasher.hash(Foo("hello"))
							A    =      Hasher.hash(Foo("hello"))
							A    =      Hasher.hash(Foo("there"))
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	Tuple):
							A    =      Hasher()
							for x in ["hello", Foo("hello")]:
												hasher.update(__SCREAMING_SNAKE_CASE)
							A    =      hasher.hexdigest()
							A    =      Hasher()
							for x in ["hello", Foo("hello")]:
												hasher.update(__SCREAMING_SNAKE_CASE)
							A    =      hasher.hexdigest()
							A    =      Hasher()
							for x in ["there", Foo("there")]:
												hasher.update(__SCREAMING_SNAKE_CASE)
							A    =      hasher.hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		def       SCREAMING_SNAKE_CASE__     (self				:	int):
							with self.assertRaises(pickle.PicklingError):
												Hasher.hash(UnpicklableCallable(Foo("hello")))


		def       SCREAMING_SNAKE_CASE__     (self				:	List[str]):
							A    =      "abc"
							A    =      [string, string]  # two strings have the same ids
							A    =      [string, string]
							A    =      json.loads(F"""[\"{string}\", \"{string}\"]""")  # two strings have different ids
							self.assertIs(obja[0]  ,  __SCREAMING_SNAKE_CASE)
							self.assertIs(obja[0]  ,  obja[1])
							self.assertIs(obja[0]  ,  __SCREAMING_SNAKE_CASE)
							self.assertIs(obja[0]  ,  obja[1])
							self.assertIsNot(obja[0]  ,  __SCREAMING_SNAKE_CASE)
							self.assertIsNot(obja[0]  ,  obja[1])
							A    =      Hasher.hash(__SCREAMING_SNAKE_CASE)
							A    =      Hasher.hash(__SCREAMING_SNAKE_CASE)
							A    =      Hasher.hash(__SCREAMING_SNAKE_CASE)
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		@require_tiktoken
		def       SCREAMING_SNAKE_CASE__     (self				:	str):
							import tiktoken

							A    =      tiktoken.get_encoding("gpt2")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      tiktoken.get_encoding("r50k_base")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      tiktoken.get_encoding("gpt2")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		@require_torch
		def       SCREAMING_SNAKE_CASE__     (self				:	List[str]):
							import torch

							A    =      torch.tensor([1.0])
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      torch.tensor([2.0])
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      torch.tensor([1.0])
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)


		@require_spacy
		@require_spacy_model("en_core_web_sm")
		@require_spacy_model("fr_core_news_sm")
		@pytest.mark.integration
		def       SCREAMING_SNAKE_CASE__     (self				:	Union[str, Any]):
							import spacy

							A    =      spacy.load("en_core_web_sm")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      spacy.load("fr_core_news_sm")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							A    =      spacy.load("en_core_web_sm")
							A    =      mda(datasets.utils.py_utils.dumps(__SCREAMING_SNAKE_CASE)).hexdigest()
							self.assertEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)
							self.assertNotEqual(__SCREAMING_SNAKE_CASE  ,  __SCREAMING_SNAKE_CASE)

@pytest.mark.integration
def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""
					A    =      tmp_path / "dir1"
					A    =      tmp_path / "dir2"
					dira.mkdir()
					dira.mkdir()
					A    =      "script.py"
					A    =      dedent(
					    "\n    from datasets.fingerprint import Hasher\n    def foo():\n        pass\n    print(Hasher.hash(foo))\n    "   )
					A    =      dira / script_filename
					A    =      dira / script_filename
					with script_patha.open("w"   ) as f:
										f.write(lowercase__   )
					with script_patha.open("w"   ) as f:
										f.write(lowercase__   )
					A    =      subprocess.check_output(["python", str(lowercase__   )]   )
					A    =      subprocess.check_output(["python", str(lowercase__   )]   )
					assert fingerprinta == fingerprinta
def      __SCREAMING_SNAKE_CASE		(		):
					"""simple docstring"""
					A    =      {"a": [0, 1, 2]}
					A    =      DatasetChild(InMemoryTable.from_pydict(lowercase__   )   )
					A    =      dataset.funca()._fingerprint
					assert expected_fingerprint == dataset.funca()._fingerprint
					assert expected_fingerprint != dataset.funca()._fingerprint

					with Pool(2   ) as p:
										assert expected_fingerprint == p.apply_async(dataset.funca   ).get()._fingerprint
										assert expected_fingerprint != p.apply_async(dataset.funca   ).get()._fingerprint
def      __SCREAMING_SNAKE_CASE		(		):
					"""simple docstring"""
					A    =      {"a": [0, 1, 2]}





					class     __UpperCamelCase				(     datasets.Dataset		):


							@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE)
							def       SCREAMING_SNAKE_CASE__     (self				:	List[Any]  ,  __SCREAMING_SNAKE_CASE				:	Dict):
												return DummyDatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)

					A    =      DummyDatasetChild(InMemoryTable.from_pydict(lowercase__   )   ).func()





					class     __UpperCamelCase				(     datasets.Dataset		):


							@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE  ,  version="1.0.0")
							def       SCREAMING_SNAKE_CASE__     (self				:	Tuple  ,  __SCREAMING_SNAKE_CASE				:	int):
												return DummyDatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)

					A    =      DummyDatasetChild(InMemoryTable.from_pydict(lowercase__   )   ).func()





					class     __UpperCamelCase				(     datasets.Dataset		):


							@fingerprint_transform(inplace=__SCREAMING_SNAKE_CASE  ,  version="2.0.0")
							def       SCREAMING_SNAKE_CASE__     (self				:	str  ,  __SCREAMING_SNAKE_CASE				:	Optional[Any]):
												return DummyDatasetChild(self.data  ,  fingerprint=__SCREAMING_SNAKE_CASE)

					A    =      DummyDatasetChild(InMemoryTable.from_pydict(lowercase__   )   ).func()

					assert len({fingeprint_no_version, fingeprint_a, fingeprint_a}   ) == 3
def      __SCREAMING_SNAKE_CASE		(		):
					"""simple docstring"""
					# AttributeError: module 'dill._dill' has no attribute 'stack'
					A    =      Hasher()
					hasher.update(lambda lowercase__   : x   )








"""simple docstring"""




def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""
					if not isinstance(lowercase__    ,							lowercase__   ):
										A    =      (
										    "operation can not be conducted on a object of type "
										    F"""{type(lowercase__   ).__name__}"""
										)
										raise TypeError(lowercase__   )
					A    =      ""
					for _ in range(0    ,							32   ):
										bit_string += str(number % 2   )
										A    =      number >> 1
					return bit_string
def      __SCREAMING_SNAKE_CASE		(		lowercase__   ):
					"""simple docstring"""
					if number < 0:
										raise ValueError("the value of input must be positive"   )
					elif isinstance(lowercase__    ,							lowercase__   ):
										raise TypeError("Input value must be a 'int' type"   )
					elif isinstance(lowercase__    ,							lowercase__   ):
										raise TypeError("'<' not supported between instances of 'str' and 'int'"   )
					A    =      0
					# iterator over [1 to 32],since we are dealing with 32 bit integer
					for _ in range(1    ,							33   ):
										# left shift the bits by unity
										A    =      result << 1
										# get the end bit
										A    =      number % 2
										# right shift the bits by unity
										A    =      number >> 1
										# add that bit to our ans
										A    =      result | end_bit
					return get_reverse_bit_string(lowercase__   )


if __name__ == "__main__":
	import doctest

	doctest.testmod()





