[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

benchmarks/benchmark_gcxs.py

@@ -6,8 +6,12 @@
 class MatrixMultiplySuite:
     def setup(self):
         rng = np.random.default_rng(0)
-        self.x = sparse.random((100, 100), density=0.01, format="gcxs", random_state=rng)
-        self.y = sparse.random((100, 100), density=0.01, format="gcxs", random_state=rng)
+        self.x = sparse.random(
+            (100, 100), density=0.01, format="gcxs", random_state=rng
+        )
+        self.y = sparse.random(
+            (100, 100), density=0.01, format="gcxs", random_state=rng
+        )
 
         self.x @ self.y  # Numba compilation
 
@@ -18,8 +22,12 @@ def time_matmul(self):
 class ElemwiseSuite:
     def setup(self):
         rng = np.random.default_rng(0)
-        self.x = sparse.random((100, 100, 100), density=0.01, format="gcxs", random_state=rng)
-        self.y = sparse.random((100, 100, 100), density=0.01, format="gcxs", random_state=rng)
+        self.x = sparse.random(
+            (100, 100, 100), density=0.01, format="gcxs", random_state=rng
+        )
+        self.y = sparse.random(
+            (100, 100, 100), density=0.01, format="gcxs", random_state=rng
+        )
 
         self.x + self.y  # Numba compilation
 
@@ -33,8 +41,12 @@ def time_mul(self):
 class ElemwiseBroadcastingSuite:
     def setup(self):
         rng = np.random.default_rng(0)
-        self.x = sparse.random((100, 1, 100), density=0.01, format="gcxs", random_state=rng)
-        self.y = sparse.random((100, 100), density=0.01, format="gcxs", random_state=rng)
+        self.x = sparse.random(
+            (100, 1, 100), density=0.01, format="gcxs", random_state=rng
+        )
+        self.y = sparse.random(
+            (100, 100), density=0.01, format="gcxs", random_state=rng
+        )
 
     def time_add(self):
         self.x + self.y
@@ -47,7 +59,9 @@ class IndexingSuite:
     def setup(self):
         rng = np.random.default_rng(0)
         self.index = rng.integers(0, 100, 50)
-        self.x = sparse.random((100, 100, 100), density=0.01, format="gcxs", random_state=rng)
+        self.x = sparse.random(
+            (100, 100, 100), density=0.01, format="gcxs", random_state=rng
+        )
 
         # Numba compilation
         self.x[5]
@@ -76,9 +90,9 @@ class DenseMultiplySuite:
     def setup(self, compressed_axis, n_vecs):
         rng = np.random.default_rng(1337)
         n = 10000
-        x = sparse.random((n, n), density=0.001, format="gcxs", random_state=rng).change_compressed_axes(
-            (compressed_axis,)
-        )
+        x = sparse.random(
+            (n, n), density=0.001, format="gcxs", random_state=rng
+        ).change_compressed_axes((compressed_axis,))
         self.x = x
         self.t = rng.random((n, n_vecs))
         self.u = rng.random((n_vecs, n))

benchmarks/benchmark_tensordot.py

@@ -33,7 +33,9 @@ def setup(self):
         self.s2 = sparse.random((100, 100, 100, 100), density=0.01, random_state=rng)
 
     def time_dense(self):
-        sparse.tensordot(self.s1, self.s2, axes=([0, 1], [0, 2]), return_type=np.ndarray)
+        sparse.tensordot(
+            self.s1, self.s2, axes=([0, 1], [0, 2]), return_type=np.ndarray
+        )
 
     def time_sparse(self):
         sparse.tensordot(self.s1, self.s2, axes=([0, 1], [0, 2]))

docs/conf.py

@@ -48,7 +48,9 @@
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ["_templates"]
 
-mathjax_path = "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"
+mathjax_path = (
+    "https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"
+)
 
 # The suffix(es) of source filenames.
 # You can specify multiple suffix as a list of string:
@@ -151,7 +153,9 @@
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title,
 #  author, documentclass [howto, manual, or own class]).
-latex_documents = [(root_doc, "sparse.tex", "sparse Documentation", "Sparse Developers", "manual")]
+latex_documents = [
+    (root_doc, "sparse.tex", "sparse Documentation", "Sparse Developers", "manual")
+]
 
 # -- Options for manual page output ---------------------------------------
 

docs/gen_logo.py

@@ -63,7 +63,9 @@ def fill(rs):
         root,
         "rect",
         style=f"{colors['orange']};{fill(rs)};",
-        transform=transform(1, b, 0, 1, (i + 5) * s + offset_x, (i * b + j) * s + offset_y),
+        transform=transform(
+            1, b, 0, 1, (i + 5) * s + offset_x, (i * b + j) * s + offset_y
+        ),
         **kwargs,
     )
 
@@ -103,7 +105,9 @@ def fill(rs):
             root,
             "rect",
             style=f"{colors['blue']};{fill(rs)};",
-            transform=transform(1, b, 0, 1, i * s + offset_x, (i * b + j + y2) * s + offset_y),
+            transform=transform(
+                1, b, 0, 1, i * s + offset_x, (i * b + j + y2) * s + offset_y
+            ),
             **kwargs,
         )
 
@@ -119,7 +123,9 @@ def fill(rs):
         root,
         "rect",
         style=f"{colors['grey']};{fill(rs)};",
-        transform=transform(1, -b, 0, 1, (i + 5) * s + offset_x, ((10 - i) * b + j + 5) * s + offset_y),
+        transform=transform(
+            1, -b, 0, 1, (i + 5) * s + offset_x, ((10 - i) * b + j + 5) * s + offset_y
+        ),
         **kwargs,
     )
 

sparse/finch_backend/__init__.py

@@ -10,7 +10,9 @@
 try:
     import finch  # noqa: F401
 except ModuleNotFoundError:
-    raise ImportError("Finch not installed. Run `pip install sparse[finch]` to enable Finch backend") from None
+    raise ImportError(
+        "Finch not installed. Run `pip install sparse[finch]` to enable Finch backend"
+    ) from None
 
 from finch import Tensor, astype, permute_dims  # noqa: E402