class_docstr: [`FlaxLogitsWarper`] for temperature (exponential scaling output probability distribution).
  
  Args:
      temperature (`float`):
          The value used to module the logits distribution.
code: def __init__(self, temperature: float):
      if not isinstance(temperature, float) or not (temperature > 0):
          raise ValueError(
              f"`temperature` has to be a strictly positive float, but is {temperature}"
          )
  
      self.temperature = temperature
  
imports: import inspect
  import jax
  import jax.lax
  import jax.numpy
  from .utils import add_start_docstrings
  from .utils.logging import get_logger
label_desc: Use image node_id 1 to create a new FlaxTemperatureLogitsWarper object from inherited base classes: FlaxLogitsWarper with example: obj = FlaxTemperatureLogitsWarper(temperature)