Add Statistical Functions to Paddle Frontend

[hmahmood24]

Add Statistical Functions to PaddlePaddle Frontend

Please keep in mind that the proper way to link an issue to this list is to comment "- [ ] #issue_number" while the issue's title only includes the name of the function you've chosen.

• mean #15426
  std #22067
  var #20867
  numel #16387
  median #16639

• nanmedian

• quantile #19176
  nanquantile #17345
  The main file paths where these functions are likely to be added are:

ivy/functional/frontends/paddle/stat.py
ivy\_tests/test\_ivy/test\_frontends/test\_paddle/test\_stat.py

[owoeye-babatunde]

#15045

[lucrieffel]

Added quantile function:
@with_supported_dtypes({"float32","float64"})
@to_ivy_arrays_and_back
def quantile(x, q, axis=None, keepdim=False, name=None):
x = ivy.cast(x, ivy.float64) if ivy.dtype(x) == 'float64' else ivy.cast(x, ivy.float32)
sorted_x = ivy.sort(x, axis=axis)
rank = (ivy.shape(sorted_x, axis=axis) - 1) * q
rank_int = ivy.floor(rank)
rank_frac = rank - rank_int
lower_values = ivy.gather(sorted_x, ivy.cast(rank_int, ivy.int32), axis=axis)
upper_values = ivy.gather(sorted_x, ivy.cast(rank_int + 1, ivy.int32), axis=axis)
quantile_value = lower_values + rank_frac * (upper_values - lower_values)
if not keepdim:
quantile_value = ivy.squeeze(quantile_value, axis=axis)

  return quantile_value

[Maxwel-ondieki]

#19176