"""simple docstring"""






import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate



def SCREAMING_SNAKE_CASE__     (  __UpperCAmelCase					)    ->    Dict:
   return x + 2




class        UpperCAmelCase		(unittest.TestCase    ):



    """simple docstring"""

    def _snake_case     (  self				):
       lowercase__:  int   = """x = 3"""
       lowercase__:  Any   = {}
       lowercase__:  Tuple   = evaluate(A__       ,     {}       ,     state=A__				)
       assert result == 3
       self.assertDictEqual(A__       ,     {'''x''': 3}				)

       lowercase__:  Tuple   = """x = y"""
       lowercase__:  Optional[Any]   = {"""y""": 5}
       lowercase__:  List[Any]   = evaluate(A__       ,     {}       ,     state=A__				)
       # evaluate returns the value of the last assignment.
       assert result == 5
       self.assertDictEqual(A__       ,     {'''x''': 5, '''y''': 5}				)






    def _snake_case     (  self				):
       lowercase__:  Tuple   = """y = add_two(x)"""
       lowercase__:  List[str]   = {"""x""": 3}
       lowercase__:  Optional[Any]   = evaluate(A__       ,     {'''add_two''': add_two}       ,     state=A__				)
       assert result == 5
       self.assertDictEqual(A__       ,     {'''x''': 3, '''y''': 5}				)

       # Won't work without the tool
       with CaptureStdout() as out:
          lowercase__:  Tuple   = evaluate(A__       ,     {}       ,     state=A__				)
       assert result is None
       assert "tried to execute add_two" in out.out






    def _snake_case     (  self				):
       lowercase__:  Any   = """x = 3"""
       lowercase__:  Optional[int]   = {}
       lowercase__:  Union[str, Any]   = evaluate(A__       ,     {}       ,     state=A__				)
       assert result == 3
       self.assertDictEqual(A__       ,     {'''x''': 3}				)






    def _snake_case     (  self				):
       lowercase__:  Dict   = """test_dict = {'x': x, 'y': add_two(x)}"""
       lowercase__:  List[Any]   = {"""x""": 3}
       lowercase__:  str   = evaluate(A__       ,     {'''add_two''': add_two}       ,     state=A__				)
       self.assertDictEqual(A__       ,     {'''x''': 3, '''y''': 5}				)
       self.assertDictEqual(A__       ,     {'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}				)






    def _snake_case     (  self				):
       lowercase__:  Optional[Any]   = """x = 3\ny = 5"""
       lowercase__:  List[str]   = {}
       lowercase__:  List[str]   = evaluate(A__       ,     {}       ,     state=A__				)
       # evaluate returns the value of the last assignment.
       assert result == 5
       self.assertDictEqual(A__       ,     {'''x''': 3, '''y''': 5}				)






    def _snake_case     (  self				):
       lowercase__:  List[str]   = """text = f'This is x: {x}.'"""
       lowercase__:  Dict   = {"""x""": 3}
       lowercase__:  Any   = evaluate(A__       ,     {}       ,     state=A__				)
       # evaluate returns the value of the last assignment.
       assert result == "This is x: 3."
       self.assertDictEqual(A__       ,     {'''x''': 3, '''text''': '''This is x: 3.'''}				)






    def _snake_case     (  self				):
       lowercase__:  Union[str, Any]   = """if x <= 3:\n    y = 2\nelse:\n    y = 5"""
       lowercase__:  Any   = {"""x""": 3}
       lowercase__:  str   = evaluate(A__       ,     {}       ,     state=A__				)
       # evaluate returns the value of the last assignment.
       assert result == 2
       self.assertDictEqual(A__       ,     {'''x''': 3, '''y''': 2}				)

       lowercase__:  List[Any]   = {"""x""": 8}
       lowercase__:  List[str]   = evaluate(A__       ,     {}       ,     state=A__				)
       # evaluate returns the value of the last assignment.
       assert result == 5
       self.assertDictEqual(A__       ,     {'''x''': 8, '''y''': 5}				)






    def _snake_case     (  self				):
       lowercase__:  Any   = """test_list = [x, add_two(x)]"""
       lowercase__:  Optional[Any]   = {"""x""": 3}
       lowercase__:  Union[str, Any]   = evaluate(A__       ,     {'''add_two''': add_two}       ,     state=A__				)
       self.assertListEqual(A__       ,     [3, 5]				)
       self.assertDictEqual(A__       ,     {'''x''': 3, '''test_list''': [3, 5]}				)






    def _snake_case     (  self				):
       lowercase__:  Optional[Any]   = """y = x"""
       lowercase__:  List[str]   = {"""x""": 3}
       lowercase__:  List[Any]   = evaluate(A__       ,     {}       ,     state=A__				)
       assert result == 3
       self.assertDictEqual(A__       ,     {'''x''': 3, '''y''': 3}				)






    def _snake_case     (  self				):
       lowercase__:  Tuple   = """test_list = [x, add_two(x)]\ntest_list[1]"""
       lowercase__:  List[str]   = {"""x""": 3}
       lowercase__:  Optional[Any]   = evaluate(A__       ,     {'''add_two''': add_two}       ,     state=A__				)
       assert result == 5
       self.assertDictEqual(A__       ,     {'''x''': 3, '''test_list''': [3, 5]}				)

       lowercase__:  Optional[Any]   = """test_dict = {'x': x, 'y': add_two(x)}\ntest_dict['y']"""
       lowercase__:  Tuple   = {"""x""": 3}
       lowercase__:  List[str]   = evaluate(A__       ,     {'''add_two''': add_two}       ,     state=A__				)
       assert result == 5
       self.assertDictEqual(A__       ,     {'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}				)






    def _snake_case     (  self				):
       lowercase__:  str   = """x = 0\nfor i in range(3):\n    x = i"""
       lowercase__:  Optional[int]   = {}
       lowercase__:  Optional[int]   = evaluate(A__       ,     {'''range''': range}       ,     state=A__				)
       assert result == 2
       self.assertDictEqual(A__       ,     {'''x''': 2, '''i''': 2}				)



import contextlib
from multiprocessing import Pool, RLock

from tqdm.auto import tqdm

from ..utils import experimental, logging


A_			:					Any    			=     logging.get_logger(__name__)



class        _a		:


					'''simple docstring'''






					UpperCAmelCase__:  str    				=			None



@experimental
def 		UpperCamelCase   (lowercase_:					int       , lowercase_:					Any       , lowercase_:					str       , lowercase_:					str       , lowercase_:					List[str]       , lowercase_:					List[Any]       , lowercase_:					Union[str, Any]   )	-> Union[str, Any]:
	if ParallelBackendConfig.backend_name is None:
		return _map_with_multiprocessing_pool(
		    lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_   )

	return _map_with_joblib(lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_       , lowercase_   )

def 		UpperCamelCase   (lowercase_:					Tuple       , lowercase_:					List[Any]       , lowercase_:					Tuple       , lowercase_:					Tuple       , lowercase_:					List[str]       , lowercase_:					Dict       , lowercase_:					Tuple   )	-> Tuple:
	A__				:       Union[str, Any]	  =						num_proc if num_proc <= len(lowercase_   ) else len(lowercase_   )
	A__				:       str	  =						[]  # We organize the splits ourselve (contiguous splits)
	for index in range(lowercase_   ):
		A__				:       Tuple	  =						len(lowercase_   ) // num_proc
		A__				:       Tuple	  =						len(lowercase_   ) % num_proc
		A__				:       Optional[Any]	  =						div * index + min(lowercase_       , lowercase_   )
		A__				:       Union[str, Any]	  =						start + div + (1 if index < mod else 0)
		split_kwds.append((function, iterable[start:end], types, index, disable_tqdm, desc)   )

	if len(lowercase_   ) != sum(len(i[1]   ) for i in split_kwds   ):
		raise ValueError(
		    f"""Error dividing inputs iterable among processes. """
		    f"""Total number of objects {len(lowercase_   )}, """
		    f"""length: {sum(len(i[1]   ) for i in split_kwds   )}"""   )

	logger.info(
	    f"""Spawning {num_proc} processes for {len(lowercase_   )} objects in slices of {[len(i[1]   ) for i in split_kwds]}"""   )
	A__  ,  A__				:       Optional[int]	  =						None, None
	if not disable_tqdm:
		A__  ,  A__				:       List[str]	  =						(RLock(),), tqdm.set_lock
	with Pool(lowercase_       , initargs=lowercase_       , initializer=lowercase_   ) as pool:
		A__				:       Optional[Any]	  =						pool.map(lowercase_       , lowercase_   )
	logger.info(f"""Finished {num_proc} processes"""   )
	A__				:       Tuple	  =						[obj for proc_res in mapped for obj in proc_res]
	logger.info(f"""Unpacked {len(lowercase_   )} objects"""   )

	return mapped

def 		UpperCamelCase   (lowercase_:					Union[str, Any]       , lowercase_:					Dict       , lowercase_:					str       , lowercase_:					Union[str, Any]       , lowercase_:					List[Any]       , lowercase_:					Dict       , lowercase_:					Optional[Any]   )	-> Union[str, Any]:
	# progress bar is not yet supported for _map_with_joblib, because tqdm couldn't accurately be applied to joblib,
	# and it requires monkey-patching joblib internal classes which is subject to change
	import joblib

	with joblib.parallel_backend(ParallelBackendConfig.backend_name       , n_jobs=lowercase_   ):
		return joblib.Parallel()(
		    joblib.delayed(lowercase_   )((function, obj, types, None, True, None)   ) for obj in iterable   )


@experimental
@contextlib.contextmanager
def 		UpperCamelCase   (lowercase_:					str   )	-> str:
	A__				:       int	  =						backend_name

	if backend_name == "spark":
		from joblibspark import register_spark

		register_spark()

		# TODO: call create_cache_and_write_probe if "download" in steps
		# TODO: raise NotImplementedError when Dataset.map etc is called

	try:
		yield
	finally:
		A__				:       Optional[Any]	  =						None



