From 8f558d72dbf2e8415f5e5883b0d1f7871f4f9cb8 Mon Sep 17 00:00:00 2001
From: EuGig <giganteeugenio2@gmail.com>
Date: Sun, 3 Dec 2023 23:47:32 +0100
Subject: [PATCH 1/6] revered order of data/indices in dot

---
 sparse/_common.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/sparse/_common.py b/sparse/_common.py
index 6073798b..73167a76 100644
--- a/sparse/_common.py
+++ b/sparse/_common.py
@@ -724,7 +724,11 @@ def _dot_csr_csr(
                 sums[temp] = 0
 
             indptr[i + 1] = nnz
-        return data, indices, indptr
+
+        ordered_data = data[::-1]
+        ordered_indices = indices[::-1]
+
+        return ordered_data, ordered_indices, indptr
 
     return _dot_csr_csr
 

From 8b37195d556f2ea60858d12dc2d61c0f24d30ae6 Mon Sep 17 00:00:00 2001
From: EuGig <giganteeugenio2@gmail.com>
Date: Mon, 4 Dec 2023 18:02:59 +0100
Subject: [PATCH 2/6] add tests to reversed indices

---
 sparse/._utils.py.swp         | Bin 0 -> 36864 bytes
 sparse/_utils.py              |   7 +++++++
 sparse/tests/.test_dot.py.swp | Bin 0 -> 24576 bytes
 3 files changed, 7 insertions(+)
 create mode 100644 sparse/._utils.py.swp
 create mode 100644 sparse/tests/.test_dot.py.swp

diff --git a/sparse/._utils.py.swp b/sparse/._utils.py.swp
new file mode 100644
index 0000000000000000000000000000000000000000..628bdaacfeb0053bd9c94be2a1cba213b8922d51
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diff --git a/sparse/_utils.py b/sparse/_utils.py
index 3e199109..c61d0ca1 100644
--- a/sparse/_utils.py
+++ b/sparse/_utils.py
@@ -48,6 +48,13 @@ def assert_eq(x, y, check_nnz=True, compare_dtype=True, **kwargs):
         yy = y
     assert check_equal(xx, yy, **kwargs)
 
+    # tests for good slicing
+    assert np.array_equal(x[0].data, y[0])
+
+    # inverting indices and data to cause slicing error
+    x.indices = x.indices[::-1]
+    x.data = x.data[::-1]
+    assert not np.array_equal(x[0].data, y[0])
 
 def assert_nnz(s, x):
     fill_value = s.fill_value if hasattr(s, "fill_value") else _zero_of_dtype(s.dtype)
diff --git a/sparse/tests/.test_dot.py.swp b/sparse/tests/.test_dot.py.swp
new file mode 100644
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From 654f6cbd19586a349d250adb52d50b0354ab5419 Mon Sep 17 00:00:00 2001
From: EuGig <giganteeugenio2@gmail.com>
Date: Mon, 4 Dec 2023 18:34:23 +0100
Subject: [PATCH 3/6] add tests and eliminate swap files

---
 sparse/._utils.py.swp         | Bin 36864 -> 0 bytes
 sparse/tests/.test_dot.py.swp | Bin 24576 -> 0 bytes
 sparse/tests/test_dot.py      |   1 -
 3 files changed, 1 deletion(-)
 delete mode 100644 sparse/._utils.py.swp
 delete mode 100644 sparse/tests/.test_dot.py.swp

diff --git a/sparse/._utils.py.swp b/sparse/._utils.py.swp
deleted file mode 100644
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diff --git a/sparse/tests/test_dot.py b/sparse/tests/test_dot.py
index 214ff664..0a604d0e 100644
--- a/sparse/tests/test_dot.py
+++ b/sparse/tests/test_dot.py
@@ -74,7 +74,6 @@ def test_tensordot(a_shape, b_shape, axes, a_format, b_format):
     # tests for return_type=np.ndarray
     sa_sb = sparse.tensordot(sa, sb, axes, return_type=np.ndarray)
 
-    assert_eq(a_b, sa_sb)
     assert isinstance(sa_sb, np.ndarray)
 
 

From a0c789dd6c1ec1733d570cafa87e0ad9627afdac Mon Sep 17 00:00:00 2001
From: EuGig <giganteeugenio2@gmail.com>
Date: Mon, 4 Dec 2023 23:58:26 +0100
Subject: [PATCH 4/6] adding test function to test_dot.py

---
 sparse/tests/test_dot.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/sparse/tests/test_dot.py b/sparse/tests/test_dot.py
index 0a604d0e..214ff664 100644
--- a/sparse/tests/test_dot.py
+++ b/sparse/tests/test_dot.py
@@ -74,6 +74,7 @@ def test_tensordot(a_shape, b_shape, axes, a_format, b_format):
     # tests for return_type=np.ndarray
     sa_sb = sparse.tensordot(sa, sb, axes, return_type=np.ndarray)
 
+    assert_eq(a_b, sa_sb)
     assert isinstance(sa_sb, np.ndarray)
 
 

From 3b1c1b6d6db2269977f8096da0592598ff59c089 Mon Sep 17 00:00:00 2001
From: EuGig <giganteeugenio2@gmail.com>
Date: Sat, 9 Dec 2023 13:41:47 +0100
Subject: [PATCH 5/6] fixes slicing bug and add tests

---
 sparse/_common.py        | 11 ++++---
 sparse/_utils.py         | 28 ++++++++++++++----
 sparse/tests/test_dot.py | 63 +++++++++++++++++++++++++++++++++++++++-
 3 files changed, 91 insertions(+), 11 deletions(-)

diff --git a/sparse/_common.py b/sparse/_common.py
index 73167a76..8b497f7b 100644
--- a/sparse/_common.py
+++ b/sparse/_common.py
@@ -725,10 +725,13 @@ def _dot_csr_csr(
 
             indptr[i + 1] = nnz
 
-        ordered_data = data[::-1]
-        ordered_indices = indices[::-1]
-
-        return ordered_data, ordered_indices, indptr
+        if len(indices) == (n_col * n_row):
+            for i in range(len(indices) // n_col):
+                j = n_col * i
+                k = n_col * (1 + i)
+                data[j:k] = data[j:k][::-1]
+                indices[j:k] = indices[j:k][::-1]
+        return data, indices, indptr
 
     return _dot_csr_csr
 
diff --git a/sparse/_utils.py b/sparse/_utils.py
index c61d0ca1..d754b502 100644
--- a/sparse/_utils.py
+++ b/sparse/_utils.py
@@ -48,16 +48,32 @@ def assert_eq(x, y, check_nnz=True, compare_dtype=True, **kwargs):
         yy = y
     assert check_equal(xx, yy, **kwargs)
 
-    # tests for good slicing
-    assert np.array_equal(x[0].data, y[0])
 
-    # inverting indices and data to cause slicing error
-    x.indices = x.indices[::-1]
-    x.data = x.data[::-1]
-    assert not np.array_equal(x[0].data, y[0])
+def assert_gcxs_slicing(s, x):
+    '''
+    Util function to test slicing of GCXS matrices after product multiplication.
+    For simplicity, it tests only tensors with number of dimension = 3.
+    Parameters
+    ----------
+    s: sparse product matrix
+    x: dense product matrix
+    '''
+    row = np.random.randint(s.shape[s.ndim - 2])
+    assert np.allclose(s[0][row].data, [num for num in x[0][row] if num != 0])
+
+    # regression test
+    col = s.shape[s.ndim - 1]
+    for i in range(len(s.indices) // col):
+        j = col * i
+        k = col * (1 + i)
+        s.data[j:k] = s.data[j:k][::-1]
+        s.indices[j:k] = s.indices[j:k][::-1]
+    assert np.array_equal(s[0][row].data, np.array([]))
+
 
 def assert_nnz(s, x):
     fill_value = s.fill_value if hasattr(s, "fill_value") else _zero_of_dtype(s.dtype)
+
     assert np.sum(~equivalent(x, fill_value)) == s.nnz
 
 
diff --git a/sparse/tests/test_dot.py b/sparse/tests/test_dot.py
index 214ff664..e7adaab0 100644
--- a/sparse/tests/test_dot.py
+++ b/sparse/tests/test_dot.py
@@ -7,7 +7,7 @@
 import sparse
 from sparse._compressed import GCXS
 from sparse import COO
-from sparse._utils import assert_eq
+from sparse._utils import assert_eq, assert_gcxs_slicing
 
 
 @pytest.mark.parametrize(
@@ -341,3 +341,64 @@ def test_dot_dense(dtype1, dtype2, ndim1, ndim2):
     assert_eq(sparse.matmul(a, b), np.matmul(a, b))
     if ndim1 == 2 and ndim2 == 2:
         assert_eq(sparse.tensordot(a, b), np.tensordot(a, b))
+
+
+@pytest.mark.parametrize(
+    "a_shape, b_shape",
+    [((3, 4, 5), (5, 6)), ((2, 8, 6), (6, 3))],
+)
+def test_dot_GCXS_slicing(a_shape, b_shape):
+    sa = sparse.random(shape=a_shape, density=1, format="gcxs")
+    sb = sparse.random(shape=b_shape, density=1, format="gcxs")
+
+    a = sa.todense()
+    b = sb.todense()
+
+    # tests dot
+    sa_sb = sparse.dot(sa, sb)
+    a_b = np.dot(a, b)
+
+    assert_gcxs_slicing(sa_sb, a_b)
+
+
+@pytest.mark.parametrize(
+    "a_shape,b_shape,axes",
+    [
+        [(3, 4, 5), (4, 3), (1, 0)],
+        [(3, 4), (5, 4, 3), (1, 1)],
+        [(5, 9), (9, 5, 6), (0, 1)],
+    ],
+)
+def test_tensordot_GCXS_slicing(a_shape, b_shape, axes):
+    sa = sparse.random(shape=a_shape, density=1, format="gcxs")
+    sb = sparse.random(shape=b_shape, density=1, format="gcxs")
+
+    a = sa.todense()
+    b = sb.todense()
+
+    sa_sb = sparse.tensordot(sa, sb, axes)
+    a_b = np.tensordot(a, b, axes)
+
+    assert_gcxs_slicing(sa_sb, a_b)
+
+
+@pytest.mark.parametrize(
+    "a_shape, b_shape",
+    [
+        [(1, 1, 5), (3, 5, 6)],
+        [(3, 4, 5), (1, 5, 6)],
+        [(3, 4, 5), (3, 5, 6)],
+        [(3, 4, 5), (5, 6)],
+    ],
+)
+def test_matmul_GCXS_slicing(a_shape, b_shape):
+    sa = sparse.random(shape=a_shape, density=1, format="gcxs")
+    sb = sparse.random(shape=b_shape, density=1, format="gcxs")
+
+    a = sa.todense()
+    b = sb.todense()
+
+    sa_sb = sparse.matmul(sa, sb)
+    a_b = np.matmul(a, b)
+
+    assert_gcxs_slicing(sa_sb, a_b)

From b8e1818c4ae8d46749239fe3136eab5a2c74dd54 Mon Sep 17 00:00:00 2001
From: EuGig <giganteeugenio2@gmail.com>
Date: Sat, 9 Dec 2023 14:05:41 +0100
Subject: [PATCH 6/6] fix slicing bug, add tests

---
 sparse/_utils.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/sparse/_utils.py b/sparse/_utils.py
index d754b502..82410412 100644
--- a/sparse/_utils.py
+++ b/sparse/_utils.py
@@ -50,14 +50,14 @@ def assert_eq(x, y, check_nnz=True, compare_dtype=True, **kwargs):
 
 
 def assert_gcxs_slicing(s, x):
-    '''
+    """
     Util function to test slicing of GCXS matrices after product multiplication.
     For simplicity, it tests only tensors with number of dimension = 3.
     Parameters
     ----------
     s: sparse product matrix
     x: dense product matrix
-    '''
+    """
     row = np.random.randint(s.shape[s.ndim - 2])
     assert np.allclose(s[0][row].data, [num for num in x[0][row] if num != 0])