only treat integers as arrays when arrays have been consecutive

this fixes cases like `x[..., arr1, int1, arr2, int2, :, int3]`, the final int will be treated as an integer instead of an array, and `arr1` through `int2` will be treated as arrays

Author: ndgrigorian

dpctl/tensor/_slicing.pxi

@@ -176,7 +176,7 @@ def _basic_slice_meta(ind, shape : tuple, strides : tuple, offset : int):
                     array_streak_interrupted = True
             elif _is_integral(i):
                 axes_referenced += 1
-                if array_streak_started:
+                if array_streak_started and not array_streak_interrupted:
                     # integers converted to arrays in this case
                     array_count += 1
                 else:
@@ -227,6 +227,7 @@ def _basic_slice_meta(ind, shape : tuple, strides : tuple, offset : int):
         advanced_start_pos_set = False
         new_offset = offset
         is_empty = False
+        array_streak = False
         for i in range(len(ind)):
             ind_i = ind[i]
             if (ind_i is Ellipsis):
@@ -237,9 +238,13 @@ def _basic_slice_meta(ind, shape : tuple, strides : tuple, offset : int):
                     is_empty = True
                     new_offset = offset
                 k = k_new
+                if array_streak:
+                    array_streak = False
             elif ind_i is None:
                 new_shape.append(1)
                 new_strides.append(0)
+                if array_streak:
+                    array_streak = False
             elif isinstance(ind_i, slice):
                 k_new = k + 1
                 sl_start, sl_stop, sl_step = ind_i.indices(shape[k])
@@ -253,13 +258,16 @@ def _basic_slice_meta(ind, shape : tuple, strides : tuple, offset : int):
                     is_empty = True
                     new_offset = offset
                 k = k_new
+                if array_streak:
+                    array_streak = False
             elif _is_boolean(ind_i):
                 new_shape.append(1 if ind_i else 0)
                 new_strides.append(0)
+                if array_streak:
+                    array_streak = False
             elif _is_integral(ind_i):
                 ind_i = ind_i.__index__()
-                if advanced_start_pos_set:
-                    # integers converted to arrays in this case
+                if array_streak:
                     new_advanced_ind.append(ind_i)
                     k_new = k + 1
                     new_shape.extend(shape[k:k_new])
@@ -281,6 +289,8 @@ def _basic_slice_meta(ind, shape : tuple, strides : tuple, offset : int):
                             ("Index {0} is out of range for "
                             "axes {1} with size {2}").format(ind_i, k, shape[k]))
             elif isinstance(ind_i, usm_ndarray):
+                if not array_streak:
+                    array_streak = True
                 if not advanced_start_pos_set:
                     new_advanced_start_pos = len(new_shape)
                     advanced_start_pos_set = True