Closes Bears-R-Us#3731: Add skip_if_max_rank_less_than markers to num…

…eric_tests.py (Bears-R-Us#3732)

Co-authored-by: Amanda Potts <ajpotts@users.noreply.github.com>

tests/client_test.py

@@ -1,7 +1,7 @@
 import pytest
 
 import arkouda as ak
-from arkouda.client import generic_msg, get_max_array_rank
+from arkouda.client import generic_msg
 from server_util.test.server_test_util import TestRunningMode, start_arkouda_server
 
 

tests/numeric_test.py

@@ -838,12 +838,10 @@ def test_putmask(self, prob_size):
  # the resulting matrices are on the order of size*size.
 
  # tril works on ints, floats, or bool
-
+ @pytest.mark.skip_if_max_rank_less_than(2)
  @pytest.mark.parametrize("data_type", INT_FLOAT_BOOL)
  @pytest.mark.parametrize("prob_size", pytest.prob_size)
  def test_tril(self, data_type, prob_size):
- if get_max_array_rank() < 2:
- pytest.skip()
 
  size = int(sqrt(prob_size))
 
@@ -891,11 +889,10 @@ def test_triu(self, data_type, prob_size):
 
  # transpose works on ints, floats, or bool
 
+ @pytest.mark.skip_if_max_rank_less_than(2)
  @pytest.mark.parametrize("data_type", INT_FLOAT_BOOL)
  @pytest.mark.parametrize("prob_size", pytest.prob_size)
  def test_transpose(self, data_type, prob_size):
- if get_max_array_rank() < 2:
- pytest.skip()
 
  size = int(sqrt(prob_size))
 
@@ -915,11 +912,10 @@ def test_transpose(self, data_type, prob_size):
  assert check(npa, ppa, data_type)
 
  # eye works on ints, floats, or bool
+ @pytest.mark.skip_if_max_rank_less_than(2)
  @pytest.mark.parametrize("data_type", INT_FLOAT_BOOL)
  @pytest.mark.parametrize("prob_size", pytest.prob_size)
  def test_eye(self, data_type, prob_size):
- if get_max_array_rank() < 2:
- pytest.skip()
 
  size = int(sqrt(prob_size))
 
@@ -939,12 +935,11 @@ def test_eye(self, data_type, prob_size):
  assert check(nda, pda, data_type)
 
  # matmul works on ints, floats, or bool
+ @pytest.mark.skip_if_max_rank_less_than(2)
  @pytest.mark.parametrize("data_type1", INT_FLOAT_BOOL)
  @pytest.mark.parametrize("data_type2", INT_FLOAT_BOOL)
  @pytest.mark.parametrize("prob_size", pytest.prob_size)
  def test_matmul(self, data_type1, data_type2, prob_size):
- if get_max_array_rank() < 2:
- pytest.skip()
 
  size = int(sqrt(prob_size))
 
@@ -968,12 +963,11 @@ def test_matmul(self, data_type1, data_type2, prob_size):
  # vecdot works on ints, floats, or bool, with the limitation that both inputs can't
  # be bool
 
+ @pytest.mark.skip_if_max_rank_less_than(2)
  @pytest.mark.parametrize("data_type1", INT_FLOAT_BOOL)
  @pytest.mark.parametrize("data_type2", INT_FLOAT)
  @pytest.mark.parametrize("prob_size", pytest.prob_size)
  def test_vecdot(self, data_type1, data_type2, prob_size):
- if get_max_array_rank() < 2:
- pytest.skip()
 
  depth = np.random.randint(2, 10)
  width = prob_size // depth