






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


__UpperCAmelCase      				=							logging.get_logger(__name__)

__UpperCAmelCase      				=							{
    "uclanlp/plbart-base": "https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json",
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}
class 					a_(						lowercase__					):



     """simple docstring"""



     __snake_case						:							List[Any]       			='''plbart'''
     __snake_case						:							str       			=['''past_key_values''']
     __snake_case						:							List[str]       			={'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}





     def __init__(						self			:					str       ,       lowerCAmelCase__			:					Optional[int]=5_0_0_0_5       ,       lowerCAmelCase__			:					Any=1_0_2_4       ,       lowerCAmelCase__			:					List[Any]=6       ,       lowerCAmelCase__			:					Tuple=3_0_7_2       ,       lowerCAmelCase__			:					List[Any]=1_2       ,       lowerCAmelCase__			:					Dict=6       ,       lowerCAmelCase__			:					List[str]=3_0_7_2       ,       lowerCAmelCase__			:					Union[str, Any]=1_2       ,       lowerCAmelCase__			:					Optional[Any]=0.0       ,       lowerCAmelCase__			:					List[Any]=0.0       ,       lowerCAmelCase__			:					Optional[int]=True       ,       lowerCAmelCase__			:					Any=True       ,       lowerCAmelCase__			:					Any="gelu"       ,       lowerCAmelCase__			:					Dict=7_6_8       ,       lowerCAmelCase__			:					str=0.1       ,       lowerCAmelCase__			:					Dict=0.1       ,       lowerCAmelCase__			:					str=0.0       ,       lowerCAmelCase__			:					List[Any]=0.02       ,       lowerCAmelCase__			:					Dict=0.0       ,       lowerCAmelCase__			:					Any=True       ,       lowerCAmelCase__			:					int=1       ,       lowerCAmelCase__			:					Any=0       ,       lowerCAmelCase__			:					Tuple=2       ,       lowerCAmelCase__			:					int=2       ,       **lowerCAmelCase__			:					List[Any]       ,       )    ->					int:

      """simple docstring"""
      SCREAMING_SNAKE_CASE							  =						vocab_size
      SCREAMING_SNAKE_CASE							  =						max_position_embeddings
      SCREAMING_SNAKE_CASE							  =						d_model
      SCREAMING_SNAKE_CASE							  =						encoder_ffn_dim
      SCREAMING_SNAKE_CASE							  =						encoder_layers
      SCREAMING_SNAKE_CASE							  =						encoder_attention_heads
      SCREAMING_SNAKE_CASE							  =						decoder_ffn_dim
      SCREAMING_SNAKE_CASE							  =						decoder_layers
      SCREAMING_SNAKE_CASE							  =						decoder_attention_heads
      SCREAMING_SNAKE_CASE							  =						dropout
      SCREAMING_SNAKE_CASE							  =						attention_dropout
      SCREAMING_SNAKE_CASE							  =						activation_dropout
      SCREAMING_SNAKE_CASE							  =						activation_function
      SCREAMING_SNAKE_CASE							  =						init_std
      SCREAMING_SNAKE_CASE							  =						encoder_layerdrop
      SCREAMING_SNAKE_CASE							  =						decoder_layerdrop
      SCREAMING_SNAKE_CASE							  =						classifier_dropout
      SCREAMING_SNAKE_CASE							  =						use_cache
      SCREAMING_SNAKE_CASE							  =						encoder_layers
      SCREAMING_SNAKE_CASE							  =						scale_embedding  # scale factor will be sqrt(d_model) if True
      super().__init__(
          pad_token_id=lowerCAmelCase__       ,       bos_token_id=lowerCAmelCase__       ,       eos_token_id=lowerCAmelCase__       ,       is_encoder_decoder=lowerCAmelCase__       ,       forced_eos_token_id=lowerCAmelCase__       ,       **lowerCAmelCase__       ,       )

class 					a_(						lowercase__					):



     """simple docstring"""



     @property
     def   __UpperCamelCase		(						self			:					Optional[int])    ->					Mapping[str, Mapping[int, str]]:

      """simple docstring"""
      return OrderedDict(
          [
              ('input_ids', {0: 'batch', 1: 'sequence'}),
              ('attention_mask', {0: 'batch', 1: 'sequence'}),
          ])





     @property
     def   __UpperCamelCase		(						self			:					Any)    ->					Mapping[str, Mapping[int, str]]:

      """simple docstring"""
      if self.use_past:
       return OrderedDict(
           [
               ('last_hidden_state', {0: 'batch', 1: 'sequence'}),
               ('past_keys', {0: 'batch', 2: 'sequence'}),
               ('encoder_last_hidden_state', {0: 'batch', 1: 'sequence'}),
           ])
      else:
       return OrderedDict(
           [
               ('last_hidden_state', {0: 'batch', 1: 'sequence'}),
               ('encoder_last_hidden_state', {0: 'batch', 1: 'sequence'}),
           ])












from datetime import date

import requests

__UpperCAmelCase      				=							"https://api.carbonintensity.org.uk/intensity"





def 		A_			(		)							->str:







 """simple docstring"""

 SCREAMING_SNAKE_CASE							  =						requests.get(lowercase_	).json()['data'][0]
 return last_half_hour["intensity"]["actual"]





def 		A_			(		lowercase_					,       lowercase_	)							->list:







 """simple docstring"""

 return requests.get(f'''{BASE_URL}/{start}/{end}'''	).json()["data"]


if __name__ == "__main__":
      for entry in fetch_from_to(start=date(2_0_2_0, 1_0, 1), end=date(2_0_2_0, 1_0, 3)):
            print("from {from} to {to}: {intensity[actual]}".format(**entry))
      print(f'{fetch_last_half_hour() = }')




