code: def compress(condition, a, *, axis=None, out=None):
      condition_arr = ivy.asarray(condition).astype(bool)
      if condition_arr.ndim != 1:
          raise ivy.utils.exceptions.IvyException(
              "Condition must be a 1D array"
          )
      if axis is None:
          arr = ivy.asarray(a).flatten()
          axis = 0
      else:
          arr = ivy.moveaxis(a, axis, 0)
      if condition_arr.shape[0] > arr.shape[0]:
          raise ivy.utils.exceptions.IvyException(
              "Condition contains entries that are out of bounds"
          )
      arr = arr[: condition_arr.shape[0]]
      return ivy.moveaxis(arr[condition_arr], 0, axis)
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.frontends.jax.array import Array
  import ivy.functional.frontends.jax.numpy
  from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back, outputs_to_frontend_arrays, handle_jax_dtype, inputs_to_ivy_arrays
  from ivy.func_wrapper import handle_out_argument
  from ivy import with_unsupported_device_and_dtypes
label_desc: Use image node_id 6 for calling a global function with example usage: compress(condition, a) and returns: ivy