'''simple docstring'''






def    _SCREAMING_SNAKE_CASE		(					__snake_case       : Tuple      ,		__snake_case       : Dict							):
     _A								=     len(UpperCAmelCase_							)
     # Create a stack and push index of fist element to it
     _A								=     []
     st.append(0							)

     # Span value of first element is always 1
     _A								=     1

     # Calculate span values for rest of the elements
     for i in range(1      ,		UpperCAmelCase_							):
          # Pop elements from stack while stack is not
          # empty and top of stack is smaller than price[i]
          while len(UpperCAmelCase_							) > 0 and price[st[0]] <= price[i]:
               st.pop()

          # If stack becomes empty, then price[i] is greater
          # than all elements on left of it, i.e. price[0],
          # price[1], ..price[i-1]. Else the price[i]  is
          # greater than elements after top of stack
          _A								=     i + 1 if len(UpperCAmelCase_							) <= 0 else (i - st[0])

          # Push this element to stack
          st.append(UpperCAmelCase_							)





def    _SCREAMING_SNAKE_CASE		(					__snake_case       : Dict      ,		__snake_case       : Union[str, Any]							):






     for i in range(0      ,		UpperCAmelCase_							):
          print(arr[i]      ,		end=' '							)


# Driver program to test above function
_UpperCAmelCase						:    Any     					=					[10, 4, 5, 90, 1_20, 80]
_UpperCAmelCase						:    Optional[int]     					=					[0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)
print_array(S, len(price))




'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_UpperCAmelCase						:    Optional[Any]     					=					{
    '''configuration_unispeech_sat''': ['''UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''UniSpeechSatConfig'''],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase						:    Dict     					=					[
       '''UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''UniSpeechSatForAudioFrameClassification''',
       '''UniSpeechSatForCTC''',
       '''UniSpeechSatForPreTraining''',
       '''UniSpeechSatForSequenceClassification''',
       '''UniSpeechSatForXVector''',
       '''UniSpeechSatModel''',
       '''UniSpeechSatPreTrainedModel''',
   ]

if TYPE_CHECKING:
   from .configuration_unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_unispeech_sat import (
          UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST,
          UniSpeechSatForAudioFrameClassification,
          UniSpeechSatForCTC,
          UniSpeechSatForPreTraining,
          UniSpeechSatForSequenceClassification,
          UniSpeechSatForXVector,
          UniSpeechSatModel,
          UniSpeechSatPreTrainedModel,
      )

else:
   import sys

   _UpperCAmelCase						:    int     					=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



