
import math
import time

from transformers import Trainer, is_torch_tpu_available
from transformers.trainer_utils import PredictionOutput, speed_metrics


if is_torch_tpu_available(check_device=False):
     import torch_xla.core.xla_model as xm
     import torch_xla.debug.metrics as met



class    _snake_case (						UpperCAmelCase_				):


 def __init__(       self       ,	*SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_=None       ,	**SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   super().__init__(*SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)
   lowercase__	: Optional[Any]     		=   eval_examples
   lowercase__	: Any     		=   post_process_function


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_ = "eval"):


   '''simple docstring'''




   lowercase__	: List[str]     		=   self.eval_dataset if eval_dataset is None else eval_dataset
   lowercase__	: Union[str, Any]     		=   self.get_eval_dataloader(SCREAMING_SNAKE_CASE_)
   lowercase__	: Tuple     		=   self.eval_examples if eval_examples is None else eval_examples

   # Temporarily disable metric computation, we will do it in the loop here.
   lowercase__	: Optional[Any]     		=   self.compute_metrics
   lowercase__	: Dict     		=   None
   lowercase__	: List[Any]     		=   self.prediction_loop if self.args.use_legacy_prediction_loop else self.evaluation_loop
   lowercase__	: Tuple     		=   time.time()
   try:
     lowercase__	: str     		=   eval_loop(
         SCREAMING_SNAKE_CASE_       ,	description="""Evaluation"""       ,	prediction_loss_only=True if compute_metrics is None else None       ,	ignore_keys=SCREAMING_SNAKE_CASE_       ,	metric_key_prefix=SCREAMING_SNAKE_CASE_       ,	)
   finally:
     lowercase__	: Optional[Any]     		=   compute_metrics
   lowercase__	: Tuple     		=   self.args.eval_batch_size * self.args.world_size
   if f'{metric_key_prefix}_jit_compilation_time' in output.metrics:
     start_time += output.metrics[f'{metric_key_prefix}_jit_compilation_time']
   output.metrics.update(
       speed_metrics(
           SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	num_samples=output.num_samples       ,	num_steps=math.ceil(output.num_samples / total_batch_size)       ,	))
   if self.post_process_function is not None and self.compute_metrics is not None and self.args.should_save:
     # Only the main node write the results by default
     lowercase__	: int     		=   self.post_process_function(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	output.predictions)
     lowercase__	: List[str]     		=   self.compute_metrics(SCREAMING_SNAKE_CASE_)

     # Prefix all keys with metric_key_prefix + '_'
     for key in list(metrics.keys()):
       if not key.startswith(f'{metric_key_prefix}_'):
         lowercase__	: List[str]     		=   metrics.pop(SCREAMING_SNAKE_CASE_)
     metrics.update(output.metrics)
   else:
     lowercase__	: Tuple     		=   output.metrics

   if self.args.should_log:
     # Only the main node log the results by default
     self.log(SCREAMING_SNAKE_CASE_)

   if self.args.tpu_metrics_debug or self.args.debug:
     # tpu-comment: Logging debug metrics for PyTorch/XLA (compile, execute times, ops, etc.)
     xm.master_print(met.metrics_report())

   lowercase__	: Tuple     		=   self.callback_handler.on_evaluate(self.args       ,	self.state       ,	self.control       ,	SCREAMING_SNAKE_CASE_)
   return metrics



 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_=None       ,	SCREAMING_SNAKE_CASE_ = "test"):


   '''simple docstring'''




   lowercase__	: List[Any]     		=   self.get_test_dataloader(SCREAMING_SNAKE_CASE_)

   # Temporarily disable metric computation, we will do it in the loop here.
   lowercase__	: List[str]     		=   self.compute_metrics
   lowercase__	: Any     		=   None
   lowercase__	: str     		=   self.prediction_loop if self.args.use_legacy_prediction_loop else self.evaluation_loop
   lowercase__	: List[str]     		=   time.time()
   try:
     lowercase__	: Optional[Any]     		=   eval_loop(
         SCREAMING_SNAKE_CASE_       ,	description="""Prediction"""       ,	prediction_loss_only=True if compute_metrics is None else None       ,	ignore_keys=SCREAMING_SNAKE_CASE_       ,	metric_key_prefix=SCREAMING_SNAKE_CASE_       ,	)
   finally:
     lowercase__	: Optional[int]     		=   compute_metrics
   lowercase__	: Tuple     		=   self.args.eval_batch_size * self.args.world_size
   if f'{metric_key_prefix}_jit_compilation_time' in output.metrics:
     start_time += output.metrics[f'{metric_key_prefix}_jit_compilation_time']
   output.metrics.update(
       speed_metrics(
           SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	num_samples=output.num_samples       ,	num_steps=math.ceil(output.num_samples / total_batch_size)       ,	))

   if self.post_process_function is None or self.compute_metrics is None:
     return output

   lowercase__	: Dict     		=   self.post_process_function(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	output.predictions       ,	"""predict""")
   lowercase__	: Any     		=   self.compute_metrics(SCREAMING_SNAKE_CASE_)

   # Prefix all keys with metric_key_prefix + '_'
   for key in list(metrics.keys()):
     if not key.startswith(f'{metric_key_prefix}_'):
       lowercase__	: List[str]     		=   metrics.pop(SCREAMING_SNAKE_CASE_)
   metrics.update(output.metrics)
   return PredictionOutput(predictions=predictions.predictions       ,	label_ids=predictions.label_ids       ,	metrics=SCREAMING_SNAKE_CASE_)














'''simple docstring'''



import unittest

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


def 				lowercase_					(     __A			:							str      )							->   Union[str, Any]:



 """simple docstring"""




 return x + 2





class UpperCAmelCase_       (     unittest.TestCase					):




      """simple docstring"""




      def 					A__   (			self      :		Dict		)	->	List[Any]:


       '''simple docstring'''

       lowercase       : Optional[int]						='''x = 3'''
       lowercase       : Any						={}
       lowercase       : Union[str, Any]						=evaluate(UpperCAmelCase  ,   {}  ,   state=UpperCAmelCase		)
       assert result == 3
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3}		)

       lowercase       : str						='''x = y'''
       lowercase       : Optional[int]						={'''y''': 5}
       lowercase       : List[str]						=evaluate(UpperCAmelCase  ,   {}  ,   state=UpperCAmelCase		)
       # evaluate returns the value of the last assignment.
       assert result == 5
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 5, '''y''': 5}		)






      def 					A__   (			self      :		str		)	->	Optional[int]:


       '''simple docstring'''

       lowercase       : Optional[int]						='''y = add_two(x)'''
       lowercase       : str						={'''x''': 3}
       lowercase       : List[str]						=evaluate(UpperCAmelCase  ,   {'''add_two''': add_two}  ,   state=UpperCAmelCase		)
       assert result == 5
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''y''': 5}		)

       # Won't work without the tool
       with CaptureStdout() as out:
        lowercase       : Optional[Any]						=evaluate(UpperCAmelCase  ,   {}  ,   state=UpperCAmelCase		)
       assert result is None
       assert "tried to execute add_two" in out.out






      def 					A__   (			self      :		List[Any]		)	->	Optional[int]:


       '''simple docstring'''

       lowercase       : int						='''x = 3'''
       lowercase       : Dict						={}
       lowercase       : List[Any]						=evaluate(UpperCAmelCase  ,   {}  ,   state=UpperCAmelCase		)
       assert result == 3
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3}		)






      def 					A__   (			self      :		str		)	->	Tuple:


       '''simple docstring'''

       lowercase       : Optional[Any]						='''test_dict = {\'x\': x, \'y\': add_two(x)}'''
       lowercase       : str						={'''x''': 3}
       lowercase       : Tuple						=evaluate(UpperCAmelCase  ,   {'''add_two''': add_two}  ,   state=UpperCAmelCase		)
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''y''': 5}		)
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}		)






      def 					A__   (			self      :		Union[str, Any]		)	->	Union[str, Any]:


       '''simple docstring'''

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






      def 					A__   (			self      :		Any		)	->	Tuple:


       '''simple docstring'''

       lowercase       : List[str]						='''text = f\'This is x: {x}.\''''
       lowercase       : Union[str, Any]						={'''x''': 3}
       lowercase       : Tuple						=evaluate(UpperCAmelCase  ,   {}  ,   state=UpperCAmelCase		)
       # evaluate returns the value of the last assignment.
       assert result == "This is x: 3."
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''text''': '''This is x: 3.'''}		)






      def 					A__   (			self      :		Union[str, Any]		)	->	List[Any]:


       '''simple docstring'''

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

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






      def 					A__   (			self      :		str		)	->	Optional[Any]:


       '''simple docstring'''

       lowercase       : List[str]						='''test_list = [x, add_two(x)]'''
       lowercase       : Any						={'''x''': 3}
       lowercase       : Tuple						=evaluate(UpperCAmelCase  ,   {'''add_two''': add_two}  ,   state=UpperCAmelCase		)
       self.assertListEqual(UpperCAmelCase  ,   [3, 5]		)
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''test_list''': [3, 5]}		)






      def 					A__   (			self      :		Any		)	->	Tuple:


       '''simple docstring'''

       lowercase       : str						='''y = x'''
       lowercase       : Dict						={'''x''': 3}
       lowercase       : Tuple						=evaluate(UpperCAmelCase  ,   {}  ,   state=UpperCAmelCase		)
       assert result == 3
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''y''': 3}		)






      def 					A__   (			self      :		str		)	->	List[str]:


       '''simple docstring'''

       lowercase       : Any						='''test_list = [x, add_two(x)]\ntest_list[1]'''
       lowercase       : Any						={'''x''': 3}
       lowercase       : Union[str, Any]						=evaluate(UpperCAmelCase  ,   {'''add_two''': add_two}  ,   state=UpperCAmelCase		)
       assert result == 5
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''test_list''': [3, 5]}		)

       lowercase       : int						='''test_dict = {\'x\': x, \'y\': add_two(x)}\ntest_dict[\'y\']'''
       lowercase       : Union[str, Any]						={'''x''': 3}
       lowercase       : Tuple						=evaluate(UpperCAmelCase  ,   {'''add_two''': add_two}  ,   state=UpperCAmelCase		)
       assert result == 5
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 3, '''test_dict''': {'''x''': 3, '''y''': 5}}		)






      def 					A__   (			self      :		List[str]		)	->	Tuple:


       '''simple docstring'''

       lowercase       : Optional[int]						='''x = 0\nfor i in range(3):\n    x = i'''
       lowercase       : List[str]						={}
       lowercase       : Union[str, Any]						=evaluate(UpperCAmelCase  ,   {'''range''': range}  ,   state=UpperCAmelCase		)
       assert result == 2
       self.assertDictEqual(UpperCAmelCase  ,   {'''x''': 2, '''i''': 2}		)



