diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_box_filter_on_partition.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_box_filter_on_partition.json
index e35388a5..52a5e089 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_box_filter_on_partition.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_box_filter_on_partition.json
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_large_catalog.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_large_catalog.json
index 508400c7..4af78c8f 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_large_catalog.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_large_catalog.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_midsize_catalog.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_midsize_catalog.json
index 2791c92b..7f018030 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_midsize_catalog.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_create_midsize_catalog.json
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_kdtree_crossmatch.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_kdtree_crossmatch.json
index 9642cb3a..c6785be7 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_kdtree_crossmatch.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_kdtree_crossmatch.json
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_polygon_search.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_polygon_search.json
index 4be1bf91..a4453ed1 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_polygon_search.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_polygon_search.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/summary.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/summary.json
index 5bf1b2bf..fc21a523 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/summary.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/summary.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/benchmarks.time_box_filter_on_partition.json b/graphs/summary/benchmarks.time_box_filter_on_partition.json
index e35388a5..52a5e089 100644
--- a/graphs/summary/benchmarks.time_box_filter_on_partition.json
+++ b/graphs/summary/benchmarks.time_box_filter_on_partition.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/benchmarks.time_create_large_catalog.json b/graphs/summary/benchmarks.time_create_large_catalog.json
index 508400c7..4af78c8f 100644
--- a/graphs/summary/benchmarks.time_create_large_catalog.json
+++ b/graphs/summary/benchmarks.time_create_large_catalog.json
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/graphs/summary/benchmarks.time_create_midsize_catalog.json b/graphs/summary/benchmarks.time_create_midsize_catalog.json
index 2791c92b..7f018030 100644
--- a/graphs/summary/benchmarks.time_create_midsize_catalog.json
+++ b/graphs/summary/benchmarks.time_create_midsize_catalog.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/benchmarks.time_kdtree_crossmatch.json b/graphs/summary/benchmarks.time_kdtree_crossmatch.json
index 9642cb3a..c6785be7 100644
--- a/graphs/summary/benchmarks.time_kdtree_crossmatch.json
+++ b/graphs/summary/benchmarks.time_kdtree_crossmatch.json
@@ -1 +1 @@
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diff --git a/graphs/summary/benchmarks.time_polygon_search.json b/graphs/summary/benchmarks.time_polygon_search.json
index 4be1bf91..a4453ed1 100644
--- a/graphs/summary/benchmarks.time_polygon_search.json
+++ b/graphs/summary/benchmarks.time_polygon_search.json
@@ -1 +1 @@
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diff --git a/index.json b/index.json
index e835dc1d..aa10a305 100644
--- a/index.json
+++ b/index.json
@@ -1 +1 @@
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{"benchmarks.time_box_filter_on_partition": {"code": "def time_box_filter_on_partition():\n \"\"\"Time box search on a single partition\"\"\"\n metadata = load_small_sky_order1().hc_structure\n mock_partition_df = pd.DataFrame(\n np.linspace(-1000, 1000, 100_000), columns=[metadata.catalog_info.ra_column]\n )\n box_filter(mock_partition_df, ra=(-20, 40), dec=None, metadata=metadata.catalog_info)", "min_run_count": 2, "name": "benchmarks.time_box_filter_on_partition", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "99b13d7c6b1da29c3a0930c8edc692a7271ca475af3999272d6b9acdb8dca952", "warmup_time": -1}, "benchmarks.time_create_large_catalog": {"code": "def time_create_large_catalog():\n return lsdb.read_hats(BENCH_DATA_DIR / \"large_catalog\")", "min_run_count": 2, "name": "benchmarks.time_create_large_catalog", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "b7269a6892c684b6e767fe124c092484acfde95f07eb85d305b5baa0f492690e", "warmup_time": -1}, "benchmarks.time_create_midsize_catalog": {"code": "def time_create_midsize_catalog():\n return lsdb.read_hats(BENCH_DATA_DIR / \"midsize_catalog\")", "min_run_count": 2, "name": "benchmarks.time_create_midsize_catalog", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "1bb7ec29f4f7be3c1ddb7cb5b3d00ed0220d01824d6e98f372d180527d468acd", "warmup_time": -1}, "benchmarks.time_kdtree_crossmatch": {"code": "def time_kdtree_crossmatch():\n \"\"\"Time computations are prefixed with 'time'.\"\"\"\n small_sky = load_small_sky()\n small_sky_xmatch = load_small_sky_xmatch()\n small_sky.crossmatch(small_sky_xmatch, require_right_margin=False).compute()", "min_run_count": 2, "name": "benchmarks.time_kdtree_crossmatch", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "331530da4eac25967595fcb3d58955d2f5f4c35ba05b97c36a13f66d0cb0c800", "warmup_time": -1}, "benchmarks.time_polygon_search": {"code": "def time_polygon_search():\n \"\"\"Time polygonal search using sphgeom\"\"\"\n small_sky_order1 = load_small_sky_order1().compute()\n # Upsample test catalog to 10,000 points\n catalog_ra = upsample_array(small_sky_order1[\"ra\"].to_numpy(), 10_000)\n catalog_dec = upsample_array(small_sky_order1[\"dec\"].to_numpy(), 10_000)\n # Define sky polygon to use in search\n vertices = [(300, -50), (300, -55), (272, -55), (272, -50)]\n polygon, _ = get_cartesian_polygon(vertices)\n # Apply vectorized filtering on the catalog points\n polygon.contains(np.radians(catalog_ra), np.radians(catalog_dec))", "min_run_count": 2, "name": "benchmarks.time_polygon_search", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "bdebab02cc8d570e0f4492ba5939fbcabeb3eefaed8b9908cbf557cc6412b432", "warmup_time": -1}}, "machines": {"gh-runner": {"machine": "gh-runner", "version": 1}}, "tags": {"v0.0.1": 2, "v0.0.2": 2, "v0.0.3": 162, "v0.0.4": 266, "v0.1.0": 286, "v0.1.1": 304, "v0.1.2": 351, "v0.1.3": 415, "v0.1.4": 474, "v0.1.5": 491, "v0.1.6": 577, "v0.2.0": 603, "v0.2.1": 636, "v0.2.2": 645, "v0.2.3": 660, "v0.2.4": 672, "v0.2.5": 675, "v0.2.6": 699, "v0.2.7": 732, "v0.2.8": 734, "v0.2.9": 737, "v0.3.0": 784, "v0.4.0": 792}, "pages": [["", "Grid view", "Display as a agrid"], ["summarylist", "List view", "Display as a list"], ["regressions", "Show regressions", "Display information about recent regressions"]]}
\ No newline at end of file
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1718391020000, "699": 1718391659000, "705": 1718746383000, "706": 1718992947000, "707": 1718993008000, "729": 1719264763000, "730": 1719596883000, "731": 1721058025000, "732": 1721058045000, "733": 1721342774000, "734": 1721773237000, "735": 1721920012000, "736": 1722436032000, "737": 1722885324000, "772": 1723741764000, "773": 1723741781000, "774": 1724077430000, "777": 1724352159000, "784": 1724776442000, "785": 1725370682000, "788": 1726154165000, "789": 1726184510000, "790": 1726506031000, "791": 1726507768000, "792": 1729183241000, "795": 1729616778000, "796": 1729627214000, "797": 1729686736000, "798": 1729692813000, "799": 1729693128000, "800": 1729713931000, "801": 1729781951000, "802": 1729874159000, "803": 1729879082000, "804": 1730211571000, "806": 1730221613000}, "params": {"machine": ["gh-runner"], "python": ["3.10"], "Cython": [""], "build": [""], "packaging": [""], "branch": ["HEAD"]}, "graph_param_list": [{"machine": "gh-runner", "python": "3.10", "Cython": "", "build": "", "packaging": "", "branch": "HEAD"}], "benchmarks": {"benchmarks.time_box_filter_on_partition": {"code": "def time_box_filter_on_partition():\n \"\"\"Time box search on a single partition\"\"\"\n metadata = load_small_sky_order1().hc_structure\n mock_partition_df = pd.DataFrame(\n np.linspace(-1000, 1000, 100_000), columns=[metadata.catalog_info.ra_column]\n )\n box_filter(mock_partition_df, ra=(-20, 40), dec=None, metadata=metadata.catalog_info)", "min_run_count": 2, "name": "benchmarks.time_box_filter_on_partition", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "99b13d7c6b1da29c3a0930c8edc692a7271ca475af3999272d6b9acdb8dca952", "warmup_time": -1}, "benchmarks.time_create_large_catalog": {"code": "def time_create_large_catalog():\n return lsdb.read_hats(BENCH_DATA_DIR / \"large_catalog\")", "min_run_count": 2, "name": "benchmarks.time_create_large_catalog", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "b7269a6892c684b6e767fe124c092484acfde95f07eb85d305b5baa0f492690e", "warmup_time": -1}, "benchmarks.time_create_midsize_catalog": {"code": "def time_create_midsize_catalog():\n return lsdb.read_hats(BENCH_DATA_DIR / \"midsize_catalog\")", "min_run_count": 2, "name": "benchmarks.time_create_midsize_catalog", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "1bb7ec29f4f7be3c1ddb7cb5b3d00ed0220d01824d6e98f372d180527d468acd", "warmup_time": -1}, "benchmarks.time_kdtree_crossmatch": {"code": "def time_kdtree_crossmatch():\n \"\"\"Time computations are prefixed with 'time'.\"\"\"\n small_sky = load_small_sky()\n small_sky_xmatch = load_small_sky_xmatch()\n small_sky.crossmatch(small_sky_xmatch, require_right_margin=False).compute()", "min_run_count": 2, "name": "benchmarks.time_kdtree_crossmatch", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "331530da4eac25967595fcb3d58955d2f5f4c35ba05b97c36a13f66d0cb0c800", "warmup_time": -1}, "benchmarks.time_polygon_search": {"code": "def time_polygon_search():\n \"\"\"Time polygonal search using sphgeom\"\"\"\n small_sky_order1 = load_small_sky_order1().compute()\n # Upsample test catalog to 10,000 points\n catalog_ra = upsample_array(small_sky_order1[\"ra\"].to_numpy(), 10_000)\n catalog_dec = upsample_array(small_sky_order1[\"dec\"].to_numpy(), 10_000)\n # Define sky polygon to use in search\n vertices = [(300, -50), (300, -55), (272, -55), (272, -50)]\n polygon, _ = get_cartesian_polygon(vertices)\n # Apply vectorized filtering on the catalog points\n polygon.contains(np.radians(catalog_ra), np.radians(catalog_dec))", "min_run_count": 2, "name": "benchmarks.time_polygon_search", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "bdebab02cc8d570e0f4492ba5939fbcabeb3eefaed8b9908cbf557cc6412b432", "warmup_time": -1}}, "machines": {"gh-runner": {"machine": "gh-runner", "version": 1}}, "tags": {"v0.0.1": 2, "v0.0.2": 2, "v0.0.3": 162, "v0.0.4": 266, "v0.1.0": 286, "v0.1.1": 304, "v0.1.2": 351, "v0.1.3": 415, "v0.1.4": 474, "v0.1.5": 491, "v0.1.6": 577, "v0.2.0": 603, "v0.2.1": 636, "v0.2.2": 645, "v0.2.3": 660, "v0.2.4": 672, "v0.2.5": 675, "v0.2.6": 699, "v0.2.7": 732, "v0.2.8": 734, "v0.2.9": 737, "v0.3.0": 784, "v0.4.0": 792}, "pages": [["", "Grid view", "Display as a agrid"], ["summarylist", "List view", "Display as a list"], ["regressions", "Show regressions", "Display information about recent regressions"]]}
\ No newline at end of file
diff --git a/info.json b/info.json
index 3dd02b28..8a4a9c8e 100644
--- a/info.json
+++ b/info.json
@@ -1,4 +1,4 @@
{
"asv-version": "0.6.4",
- "timestamp": 1730211741259
+ "timestamp": 1730221796740
}
\ No newline at end of file
diff --git a/regressions.xml b/regressions.xml
index 7eddb11d..a534263d 100644
--- a/regressions.xml
+++ b/regressions.xml
@@ -1,2 +1,2 @@
-tag:lsdb.asv,1970-01-01:/5e4631a9b11abb60a82ba2997e8cc06307838a354bb580bc8cf476a4497bc2e4Airspeed Velocitylsdb performance regressions2024-10-29T14:22:21Z
\ No newline at end of file
+tag:lsdb.asv,1970-01-01:/5e4631a9b11abb60a82ba2997e8cc06307838a354bb580bc8cf476a4497bc2e4Airspeed Velocitylsdb performance regressions2024-10-29T17:09:56Z
\ No newline at end of file