






import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
 import torch

 from transformers.generation import (
     MaxLengthCriteria,
     MaxNewTokensCriteria,
     MaxTimeCriteria,
     StoppingCriteriaList,
     validate_stopping_criteria,
 )



@require_torch
class 				_UpperCamelCase      (unittest.TestCase      ):


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						Optional[int]:
           __lowerCAmelCase             =       3
           __lowerCAmelCase             =       2_5_0

           __lowerCAmelCase             =       ids_tensor((batch_size, length)       ,    __UpperCamelCase						)
           __lowerCAmelCase             =       torch.ones((batch_size, length)       ,    device=__UpperCamelCase       ,    dtype=torch.float						) / length
           return input_ids, scores


      def 			__UpperCAmelCase		(						self						)->						List[Any]:
           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(5						)

           __lowerCAmelCase             =       StoppingCriteriaList(
               [
                   MaxLengthCriteria(max_length=1_0						),
                   MaxTimeCriteria(max_time=0.1						),
               ]						)

           self.assertFalse(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(9						)
           self.assertFalse(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(1_0						)
           self.assertTrue(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)


      def 			__UpperCAmelCase		(						self						)->						Any:
           __lowerCAmelCase             =       MaxLengthCriteria(max_length=1_0						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(5						)
           self.assertFalse(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(9						)
           self.assertFalse(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(1_0						)
           self.assertTrue(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)


      def 			__UpperCAmelCase		(						self						)->						Tuple:
           __lowerCAmelCase             =       MaxNewTokensCriteria(start_length=5       ,    max_new_tokens=5						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(5						)
           self.assertFalse(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(9						)
           self.assertFalse(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(1_0						)
           self.assertTrue(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase             =       StoppingCriteriaList([criteria]						)
           self.assertEqual(criteria_list.max_length       ,    1_0						)


      def 			__UpperCAmelCase		(						self						)->						List[str]:
           __lowerCAmelCase      ,			__lowerCAmelCase             =       self._get_tensors(5						)

           __lowerCAmelCase             =       MaxTimeCriteria(max_time=0.1						)
           self.assertFalse(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)

           __lowerCAmelCase             =       MaxTimeCriteria(max_time=0.1       ,    initial_timestamp=time.time() - 0.2						)
           self.assertTrue(criteria(__UpperCamelCase       ,    __UpperCamelCase						)						)


      def 			__UpperCAmelCase		(						self						)->						Union[str, Any]:
           validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0						)]						)       ,    1_0						)

           with self.assertWarns(__UpperCamelCase						):
                validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(1_0						)]						)       ,    1_1						)

           __lowerCAmelCase             =       validate_stopping_criteria(StoppingCriteriaList()       ,    1_1						)

           self.assertEqual(len(__UpperCamelCase						)       ,    1						)














from __future__ import annotations

import os
from typing import Any

import requests

lowerCamelCase      :       Tuple    =						'''https://api.github.com'''

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
lowerCamelCase      :       int    =						BASE_URL + '''/user'''

# https://github.com/settings/tokens
lowerCamelCase      :       Any    =						os.environ.get('''USER_TOKEN''', '''''')





def    __lowerCAmelCase   (    __snake_case							):
     __lowerCAmelCase             =       {
         "Authorization": F"""token {auth_token}""",
         "Accept": "application/vnd.github.v3+json",
     }
     return requests.get(__snake_case       ,			headers=__snake_case							).json()


if __name__ == "__main__":  # pragma: no cover
 if USER_TOKEN:
  for key, value in fetch_github_info(USER_TOKEN).items():
   print(F'''{key}: {value}''')
 else:
  raise ValueError('''\'USER_TOKEN\' field cannot be empty.''')






