style: pre-commit fixes

Author: pre-commit-ci[bot]

notebooks/advanced_indexing.ipynb

@@ -25,11 +25,15 @@
    ],
    "source": [
     "import sys\n",
-    "sys.path.insert(0, '..')\n",
-    "import zarr\n",
+    "\n",
+    "sys.path.insert(0, \"..\")\n",
     "import numpy as np\n",
+    "\n",
+    "import zarr\n",
+    "\n",
     "np.random.seed(42)\n",
     "import cProfile\n",
+    "\n",
     "zarr.__version__"
    ]
   },
@@ -57,7 +61,7 @@
    "source": [
     "a = np.arange(10)\n",
     "za = zarr.array(a, chunks=2)\n",
-    "ix = [False,  True,  False,  True, False, True, False,  True,  False,  True]"
+    "ix = [False, True, False, True, False, True, False, True, False, True]"
    ]
   },
   {
@@ -547,7 +551,7 @@
    ],
    "source": [
     "# combine with slice\n",
-    "za.oindex[[1,  3], :]"
+    "za.oindex[[1, 3], :]"
    ]
   },
   {
@@ -973,10 +977,10 @@
     }
    ],
    "source": [
-    "a = np.array([(b'aaa', 1, 4.2),\n",
-    "              (b'bbb', 2, 8.4),\n",
-    "              (b'ccc', 3, 12.6)], \n",
-    "             dtype=[('foo', 'S3'), ('bar', 'i4'), ('baz', 'f8')])\n",
+    "a = np.array(\n",
+    "    [(b\"aaa\", 1, 4.2), (b\"bbb\", 2, 8.4), (b\"ccc\", 3, 12.6)],\n",
+    "    dtype=[(\"foo\", \"S3\"), (\"bar\", \"i4\"), (\"baz\", \"f8\")],\n",
+    ")\n",
     "za = zarr.array(a, chunks=2, fill_value=None)\n",
     "za[:]"
    ]
@@ -999,7 +1003,7 @@
     }
    ],
    "source": [
-    "za['foo']"
+    "za[\"foo\"]"
    ]
   },
   {
@@ -1020,7 +1024,7 @@
     }
    ],
    "source": [
-    "za['foo', 'baz']"
+    "za[\"foo\", \"baz\"]"
    ]
   },
   {
@@ -1041,7 +1045,7 @@
     }
    ],
    "source": [
-    "za[:2, 'foo']"
+    "za[:2, \"foo\"]"
    ]
   },
   {
@@ -1062,7 +1066,7 @@
     }
    ],
    "source": [
-    "za[:2, 'foo', 'baz']"
+    "za[:2, \"foo\", \"baz\"]"
    ]
   },
   {
@@ -1083,7 +1087,7 @@
     }
    ],
    "source": [
-    "za.oindex[[0, 2], 'foo']"
+    "za.oindex[[0, 2], \"foo\"]"
    ]
   },
   {
@@ -1104,7 +1108,7 @@
     }
    ],
    "source": [
-    "za.vindex[[0, 2], 'foo']"
+    "za.vindex[[0, 2], \"foo\"]"
    ]
   },
   {
@@ -1125,7 +1129,7 @@
     }
    ],
    "source": [
-    "za['bar'] = 42\n",
+    "za[\"bar\"] = 42\n",
     "za[:]"
    ]
   },
@@ -1147,7 +1151,7 @@
     }
    ],
    "source": [
-    "za[:2, 'bar'] = 84\n",
+    "za[:2, \"bar\"] = 84\n",
     "za[:]"
    ]
   },
@@ -1176,7 +1180,7 @@
     }
    ],
    "source": [
-    "a['foo', 'baz']"
+    "a[\"foo\", \"baz\"]"
    ]
   },
   {
@@ -1197,7 +1201,7 @@
     }
    ],
    "source": [
-    "a[['foo', 'baz']]"
+    "a[[\"foo\", \"baz\"]]"
    ]
   },
   {
@@ -1218,7 +1222,7 @@
     }
    ],
    "source": [
-    "za['foo', 'baz']"
+    "za[\"foo\", \"baz\"]"
    ]
   },
   {
@@ -1243,7 +1247,7 @@
     }
    ],
    "source": [
-    "za[['foo', 'baz']]"
+    "za[[\"foo\", \"baz\"]]"
    ]
   },
   {
@@ -1437,14 +1441,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import tempfile\n",
-    "import cProfile\n",
     "import pstats\n",
+    "import tempfile\n",
+    "\n",
     "\n",
-    "def profile(statement, sort='time', restrictions=(7,)):\n",
+    "def profile(statement, sort=\"time\", restrictions=(7,)):\n",
     "    with tempfile.NamedTemporaryFile() as f:\n",
     "        cProfile.run(statement, filename=f.name)\n",
-    "        pstats.Stats(f.name).sort_stats(sort).print_stats(*restrictions)\n"
+    "        pstats.Stats(f.name).sort_stats(sort).print_stats(*restrictions)"
    ]
   },
   {
@@ -1477,7 +1481,7 @@
     }
    ],
    "source": [
-    "profile('zc.oindex[ix_dense_bool]')"
+    "profile(\"zc.oindex[ix_dense_bool]\")"
    ]
   },
   {
@@ -1517,7 +1521,7 @@
     }
    ],
    "source": [
-    "profile('zc.vindex[ix_dense_bool]')"
+    "profile(\"zc.vindex[ix_dense_bool]\")"
    ]
   },
   {
@@ -1551,7 +1555,7 @@
     }
    ],
    "source": [
-    "ix_dense_int = np.random.choice(c.shape[0], size=c.shape[0]//10, replace=True)\n",
+    "ix_dense_int = np.random.choice(c.shape[0], size=c.shape[0] // 10, replace=True)\n",
     "ix_dense_int_sorted = ix_dense_int.copy()\n",
     "ix_dense_int_sorted.sort()\n",
     "len(ix_dense_int)"
@@ -1689,7 +1693,7 @@
     }
    ],
    "source": [
-    "profile('zc.oindex[ix_dense_int_sorted]')"
+    "profile(\"zc.oindex[ix_dense_int_sorted]\")"
    ]
   },
   {
@@ -1722,7 +1726,7 @@
     }
    ],
    "source": [
-    "profile('zc.vindex[ix_dense_int_sorted]')"
+    "profile(\"zc.vindex[ix_dense_int_sorted]\")"
    ]
   },
   {
@@ -1755,7 +1759,7 @@
     }
    ],
    "source": [
-    "profile('zc.oindex[ix_dense_int]')"
+    "profile(\"zc.oindex[ix_dense_int]\")"
    ]
   },
   {
@@ -1788,7 +1792,7 @@
     }
    ],
    "source": [
-    "profile('zc.vindex[ix_dense_int]')"
+    "profile(\"zc.vindex[ix_dense_int]\")"
    ]
   },
   {
@@ -1908,7 +1912,7 @@
     }
    ],
    "source": [
-    "profile('zc.oindex[ix_sparse_bool]')"
+    "profile(\"zc.oindex[ix_sparse_bool]\")"
    ]
   },
   {
@@ -1941,7 +1945,7 @@
     }
    ],
    "source": [
-    "profile('zc.vindex[ix_sparse_bool]')"
+    "profile(\"zc.vindex[ix_sparse_bool]\")"
    ]
   },
   {
@@ -1968,7 +1972,7 @@
     }
    ],
    "source": [
-    "ix_sparse_int = np.random.choice(c.shape[0], size=c.shape[0]//10000, replace=True)\n",
+    "ix_sparse_int = np.random.choice(c.shape[0], size=c.shape[0] // 10000, replace=True)\n",
     "ix_sparse_int_sorted = ix_sparse_int.copy()\n",
     "ix_sparse_int_sorted.sort()\n",
     "len(ix_sparse_int)"
@@ -2106,7 +2110,7 @@
     }
    ],
    "source": [
-    "profile('zc.oindex[ix_sparse_int]')"
+    "profile(\"zc.oindex[ix_sparse_int]\")"
    ]
   },
   {
@@ -2139,7 +2143,7 @@
     }
    ],
    "source": [
-    "profile('zc.vindex[ix_sparse_int]')"
+    "profile(\"zc.vindex[ix_sparse_int]\")"
    ]
   },
   {
@@ -2330,7 +2334,7 @@
     }
    ],
    "source": [
-    "profile('zc[::2]')"
+    "profile(\"zc[::2]\")"
    ]
   },
   {
@@ -2480,8 +2484,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ix0 = np.random.choice(d.shape[0], size=int(d.shape[0] * .5), replace=True)\n",
-    "ix1 = np.random.choice(d.shape[1], size=int(d.shape[1] * .5), replace=True)"
+    "ix0 = np.random.choice(d.shape[0], size=int(d.shape[0] * 0.5), replace=True)\n",
+    "ix1 = np.random.choice(d.shape[1], size=int(d.shape[1] * 0.5), replace=True)"
    ]
   },
   {
@@ -2542,7 +2546,7 @@
     }
    ],
    "source": [
-    "n = int(d.size * .1)\n",
+    "n = int(d.size * 0.1)\n",
     "ix0 = np.random.choice(d.shape[0], size=n, replace=True)\n",
     "ix1 = np.random.choice(d.shape[1], size=n, replace=True)\n",
     "n"
@@ -2612,7 +2616,7 @@
     }
    ],
    "source": [
-    "profile('zd.vindex[ix0, ix1]')"
+    "profile(\"zd.vindex[ix0, ix1]\")"
    ]
   },
   {
@@ -2637,8 +2641,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import h5py\n",
-    "import tempfile"
+    "import h5py"
    ]
   },
   {
@@ -2647,7 +2650,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "h5f = h5py.File(tempfile.mktemp(), driver='core', backing_store=False)"
+    "h5f = h5py.File(tempfile.mktemp(), driver=\"core\", backing_store=False)"
    ]
   },
   {
@@ -2667,7 +2670,9 @@
     }
    ],
    "source": [
-    "hc = h5f.create_dataset('c', data=c, compression='gzip', compression_opts=1, chunks=zc.chunks, shuffle=True)\n",
+    "hc = h5f.create_dataset(\n",
+    "    \"c\", data=c, compression=\"gzip\", compression_opts=1, chunks=zc.chunks, shuffle=True\n",
+    ")\n",
     "hc"
    ]
   },
@@ -2733,7 +2738,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# # this is pathological, takes minutes \n",
+    "# # this is pathological, takes minutes\n",
     "# %time hc[ix_dense_bool]"
    ]
   },