Format

Author: nguyenv

tiledb/tests/test_libtiledb.py

@@ -1247,7 +1247,7 @@ def test_varlen_sparse_all_empty_strings(self):
 
         with tiledb.open(uri, mode="r") as T:
             # check interior range
-            assert_array_equal(A[1:-1], T[1:dim_len-1]["a1"])
+            assert_array_equal(A[1:-1], T[1 : dim_len - 1]["a1"])
             assert_array_equal(A[1:-1], T.multi_index[2 : dim_len - 1]["a1"])
 
     def test_varlen_write_unicode(self):
@@ -1525,48 +1525,48 @@ def test_array_varlen_2d_s_fixed(self):
     def test_dense_array_with_negative_positive_domain(self, lo, hi):
         path = self.path("test_dense_array_with_negative_domain")
         attr = tiledb.Attr(dtype=np.uint8)
-        dom = tiledb.Domain(tiledb.Dim("X", domain=(-20, 20),dtype=np.int64))
+        dom = tiledb.Domain(tiledb.Dim("X", domain=(-20, 20), dtype=np.int64))
         schema = tiledb.ArraySchema(domain=dom, sparse=False, attrs=[attr])
         tiledb.Array.create(path, schema)
-        data = np.random.randint(10, size=(hi-lo))
+        data = np.random.randint(10, size=(hi - lo))
 
-        with tiledb.open(path, 'w') as A:
+        with tiledb.open(path, "w") as A:
             A[lo:hi] = data
-        
-        with tiledb.open(path, 'r') as A:
+
+        with tiledb.open(path, "r") as A:
             assert_array_equal(A[lo:hi], data[:])
-            
 
     @pytest.mark.parametrize("lo,hi", [(-20, -10), (-20, -15), (-15, -10), (-17, -13)])
     def test_dense_array_with_negative_negative_domain(self, lo, hi):
         path = self.path("test_dense_array_with_negative_negative_domain")
         attr = tiledb.Attr(dtype=np.uint8)
-        dom = tiledb.Domain(tiledb.Dim("X", domain=(-20, -10),dtype=np.int64))
+        dom = tiledb.Domain(tiledb.Dim("X", domain=(-20, -10), dtype=np.int64))
         schema = tiledb.ArraySchema(domain=dom, sparse=False, attrs=[attr])
         tiledb.Array.create(path, schema)
-        data = np.random.randint(10, size=(hi-lo))
+        data = np.random.randint(10, size=(hi - lo))
 
-        with tiledb.open(path, 'w') as A:
+        with tiledb.open(path, "w") as A:
             A[lo:hi] = data
-            
-        with tiledb.open(path, 'r') as A:
+
+        with tiledb.open(path, "r") as A:
             assert_array_equal(A[lo:hi], data[:])
-            
-    @pytest.mark.parametrize("lo,hi", [(10, 20), (10,15),(12,15), (17,20)])
+
+    @pytest.mark.parametrize("lo,hi", [(10, 20), (10, 15), (12, 15), (17, 20)])
     def test_dense_array_with_offset_domain(self, lo, hi):
         path = self.path("test_dense_array_with_offset_domain")
         attr = tiledb.Attr(dtype=np.uint8)
-        dom = tiledb.Domain(tiledb.Dim("X", domain=(10, 20),dtype=np.int64))
+        dom = tiledb.Domain(tiledb.Dim("X", domain=(10, 20), dtype=np.int64))
         schema = tiledb.ArraySchema(domain=dom, sparse=False, attrs=[attr])
         tiledb.Array.create(path, schema)
-        data = np.random.randint(10, size=(hi-lo))
+        data = np.random.randint(10, size=(hi - lo))
 
-        with tiledb.open(path, 'w') as A:
+        with tiledb.open(path, "w") as A:
             A[lo:hi] = data
-        
-        with tiledb.open(path, 'r') as A:
+
+        with tiledb.open(path, "r") as A:
             assert_array_equal(A[lo:hi], data[:])
 
+
 class TestSparseArray(DiskTestCase):
     @pytest.mark.xfail
     def test_simple_1d_sparse_vector(self):