code: def actual_365_fixed(
      *, start_date, end_date, schedule_info=None, dtype=None, name=None
  ):
      """Computes the year fraction between the specified dates.
  
      The actual/365 convention specifies the year fraction between the start and
      end date as the actual number of days between the two dates divided by 365.
  
      Note that the schedule info is not needed for this convention and is ignored
      if supplied.
  
      For more details see:
      https://en.wikipedia.org/wiki/Day_count_convention#Actual/365_Fixed
  
      Args:
        start_date: A `DateTensor` object of any shape.
        end_date: A `DateTensor` object of compatible shape with `start_date`.
        schedule_info: The schedule info. Ignored for this convention.
        dtype: The dtype of the result. Either `tf.float32` or `tf.float64`. If not
          supplied, `tf.float32` is returned.
        name: Python `str` name prefixed to ops created by this function. If not
          supplied, `actual_365_fixed` is used.
  
      Returns:
        A real `Tensor` of supplied `dtype` and shape of `start_date`. The year
        fraction between the start and end date as computed by Actual/365 fixed
        convention.
      """
      del schedule_info
      with tf.name_scope(name or "actual_365_fixed"):
          end_date = dt.convert_to_date_tensor(end_date)
          start_date = dt.convert_to_date_tensor(start_date)
          dtype = dtype or tf.constant(0.0).dtype
          actual_days = tf.cast(
              start_date.days_until(end_date), dtype=dtype
          )
          return actual_days / 365
  
file_path: tf-quant-finance/tf_quant_finance/datetime/daycounts.py
imports: import tensorflow.compat.v2
  from tf_quant_finance.datetime import date_tensor
  from tf_quant_finance.datetime import date_utils
  from tf_quant_finance.datetime import periods
label_desc: Use image node_id 2 for calling a global function with example usage: actual_365_fixed() and returns: unknown