From 6ec1b8e79b7d9a8f605c1ab18a93e0b7095a65b8 Mon Sep 17 00:00:00 2001
From: delucchi-cmu <113376043+delucchi-cmu@users.noreply.github.com>
Date: Mon, 9 Dec 2024 18:02:41 +0000
Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20astronom?=
=?UTF-8?q?y-commons/hats@f21c1fb9d3e422890812e9e4e61a0249f469bbd2=20?=
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MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
...etadataSuite.time_load_partition_info_order6.json | 2 +-
...etadataSuite.time_load_partition_info_order7.json | 2 +-
....MetadataSuite.time_load_partition_join_info.json | 2 +-
.../benchmarks.Suite.time_inner_pixel_alignment.json | 2 +-
.../benchmarks.Suite.time_outer_pixel_alignment.json | 2 +-
.../benchmarks.Suite.time_pixel_tree_creation.json | 2 +-
.../benchmarks.time_test_alignment_even_sky.json | 2 +-
...chmarks.time_test_cone_filter_multiple_order.json | 2 +-
.../packaging/python-3.11/summary.json | 2 +-
...etadataSuite.time_load_partition_info_order6.json | 2 +-
...etadataSuite.time_load_partition_info_order7.json | 2 +-
....MetadataSuite.time_load_partition_join_info.json | 2 +-
.../benchmarks.Suite.time_inner_pixel_alignment.json | 2 +-
.../benchmarks.Suite.time_outer_pixel_alignment.json | 2 +-
.../benchmarks.Suite.time_pixel_tree_creation.json | 2 +-
.../benchmarks.time_test_alignment_even_sky.json | 2 +-
...chmarks.time_test_cone_filter_multiple_order.json | 2 +-
index.json | 2 +-
info.json | 2 +-
regressions.json | 2 +-
regressions.xml | 12 ++++++------
21 files changed, 26 insertions(+), 26 deletions(-)
diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_info_order6.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_info_order6.json
index a7403faa..61bd087d 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_info_order6.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_info_order6.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-3.11/benchmarks.MetadataSuite.time_load_partition_info_order7.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_info_order7.json
index 5dea1e45..c581909c 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_info_order7.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_info_order7.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-3.11/benchmarks.MetadataSuite.time_load_partition_join_info.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_join_info.json
index 428f5e28..85727458 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_join_info.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.MetadataSuite.time_load_partition_join_info.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-3.11/benchmarks.Suite.time_inner_pixel_alignment.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_inner_pixel_alignment.json
index 444c4382..d74a1bb6 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_inner_pixel_alignment.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_inner_pixel_alignment.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-3.11/benchmarks.Suite.time_outer_pixel_alignment.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_outer_pixel_alignment.json
index 503505fc..e8febf79 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_outer_pixel_alignment.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_outer_pixel_alignment.json
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_pixel_tree_creation.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_pixel_tree_creation.json
index 43451ac3..6b99e6f3 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_pixel_tree_creation.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_pixel_tree_creation.json
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_alignment_even_sky.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_alignment_even_sky.json
index 1b26cb20..26dc2358 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_alignment_even_sky.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_alignment_even_sky.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-3.11/benchmarks.time_test_cone_filter_multiple_order.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_cone_filter_multiple_order.json
index 9173b36e..01468b0e 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_cone_filter_multiple_order.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_cone_filter_multiple_order.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-3.11/summary.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/summary.json
index 0b0c68cf..bd2ae52e 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/summary.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/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.MetadataSuite.time_load_partition_info_order6.json b/graphs/summary/benchmarks.MetadataSuite.time_load_partition_info_order6.json
index cf2c7d11..c48dfb11 100644
--- a/graphs/summary/benchmarks.MetadataSuite.time_load_partition_info_order6.json
+++ b/graphs/summary/benchmarks.MetadataSuite.time_load_partition_info_order6.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/benchmarks.MetadataSuite.time_load_partition_info_order7.json b/graphs/summary/benchmarks.MetadataSuite.time_load_partition_info_order7.json
index 9e3e3846..94b30c67 100644
--- a/graphs/summary/benchmarks.MetadataSuite.time_load_partition_info_order7.json
+++ b/graphs/summary/benchmarks.MetadataSuite.time_load_partition_info_order7.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.MetadataSuite.time_load_partition_join_info.json b/graphs/summary/benchmarks.MetadataSuite.time_load_partition_join_info.json
index 9ebd85f0..c9c2473a 100644
--- a/graphs/summary/benchmarks.MetadataSuite.time_load_partition_join_info.json
+++ b/graphs/summary/benchmarks.MetadataSuite.time_load_partition_join_info.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.Suite.time_inner_pixel_alignment.json b/graphs/summary/benchmarks.Suite.time_inner_pixel_alignment.json
index e60f928b..f212edc8 100644
--- a/graphs/summary/benchmarks.Suite.time_inner_pixel_alignment.json
+++ b/graphs/summary/benchmarks.Suite.time_inner_pixel_alignment.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.Suite.time_outer_pixel_alignment.json b/graphs/summary/benchmarks.Suite.time_outer_pixel_alignment.json
index 5afaf54a..dd1eaa3a 100644
--- a/graphs/summary/benchmarks.Suite.time_outer_pixel_alignment.json
+++ b/graphs/summary/benchmarks.Suite.time_outer_pixel_alignment.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.Suite.time_pixel_tree_creation.json b/graphs/summary/benchmarks.Suite.time_pixel_tree_creation.json
index c3d0f7d7..3b6aaf1c 100644
--- a/graphs/summary/benchmarks.Suite.time_pixel_tree_creation.json
+++ b/graphs/summary/benchmarks.Suite.time_pixel_tree_creation.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_test_alignment_even_sky.json b/graphs/summary/benchmarks.time_test_alignment_even_sky.json
index d1ea6a93..01e7648a 100644
--- a/graphs/summary/benchmarks.time_test_alignment_even_sky.json
+++ b/graphs/summary/benchmarks.time_test_alignment_even_sky.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/benchmarks.time_test_cone_filter_multiple_order.json b/graphs/summary/benchmarks.time_test_cone_filter_multiple_order.json
index 2d0a3d8c..a3197298 100644
--- a/graphs/summary/benchmarks.time_test_cone_filter_multiple_order.json
+++ b/graphs/summary/benchmarks.time_test_cone_filter_multiple_order.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/index.json b/index.json
index 824e4cab..2ab00e39 100644
--- a/index.json
+++ b/index.json
@@ -1 +1 @@
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1733322170000, "834": 1733436760000, "836": 1733511311000}, "params": {"machine": ["gh-runner"], "python": ["3.10", "3.11"], "Cython": [""], "build": [""], "packaging": [""], "branch": ["HEAD"]}, "graph_param_list": [{"machine": "gh-runner", "python": "3.11", "Cython": "", "build": "", "packaging": "", "branch": "HEAD"}, {"machine": "gh-runner", "python": "3.10", "Cython": "", "build": "", "packaging": "", "branch": "HEAD"}], "benchmarks": {"benchmarks.MetadataSuite.time_load_partition_info_order6": {"code": "class MetadataSuite:\n def time_load_partition_info_order6(self, cache):\n PartitionInfo.read_from_dir(cache[1])\n\n def setup_cache(self):\n root_dir = os.getcwd()\n \n ## Create partition info for catalog a (only at order 7)\n pixel_list_a = [HealpixPixel(7, pixel) for pixel in np.arange(100_000)]\n catalog_path_a = os.path.join(root_dir, \"catalog_a\")\n os.makedirs(catalog_path_a, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_a)\n partition_info.write_to_file(os.path.join(catalog_path_a, \"partition_info.csv\"))\n \n ## Create partition info for catalog a (only at order 6)\n pixel_list_b = [HealpixPixel(6, pixel) for pixel in np.arange(25_000)]\n catalog_path_b = os.path.join(root_dir, \"catalog_b\")\n os.makedirs(catalog_path_b, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_b)\n partition_info.write_to_file(os.path.join(catalog_path_b, \"partition_info.csv\"))\n \n ## Fake an association table between the two\n tree_a = PixelTree.from_healpix(pixel_list_a)\n tree_b = PixelTree.from_healpix(pixel_list_b)\n alignment = align_trees(tree_a, tree_b)\n alignment_df = alignment.pixel_mapping[\n [\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME,\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME,\n PixelAlignment.JOIN_ORDER_COLUMN_NAME,\n PixelAlignment.JOIN_PIXEL_COLUMN_NAME,\n ]\n ]\n alignment_df = alignment_df.rename(\n columns={\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME: \"Norder\",\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME: \"Npix\",\n }\n )\n \n association_catalog_path = os.path.join(root_dir, \"assocation_a_b\")\n os.makedirs(association_catalog_path, exist_ok=True)\n partition_info = PartitionJoinInfo(alignment_df)\n partition_info.write_to_csv(association_catalog_path)\n \n return (catalog_path_a, catalog_path_b, association_catalog_path)", "min_run_count": 2, "name": "benchmarks.MetadataSuite.time_load_partition_info_order6", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "setup_cache_key": "benchmarks:72", "type": "time", "unit": "seconds", "version": "e431b00caf270712fec98bcb3b4b887c36579beca1a9d9cdfbd9571287b975a9", "warmup_time": -1}, "benchmarks.MetadataSuite.time_load_partition_info_order7": {"code": "class MetadataSuite:\n def time_load_partition_info_order7(self, cache):\n PartitionInfo.read_from_dir(cache[0])\n\n def setup_cache(self):\n root_dir = os.getcwd()\n \n ## Create partition info for catalog a (only at order 7)\n pixel_list_a = [HealpixPixel(7, pixel) for pixel in np.arange(100_000)]\n catalog_path_a = os.path.join(root_dir, \"catalog_a\")\n os.makedirs(catalog_path_a, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_a)\n partition_info.write_to_file(os.path.join(catalog_path_a, \"partition_info.csv\"))\n \n ## Create partition info for catalog a (only at order 6)\n pixel_list_b = [HealpixPixel(6, pixel) for pixel in np.arange(25_000)]\n catalog_path_b = os.path.join(root_dir, \"catalog_b\")\n os.makedirs(catalog_path_b, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_b)\n partition_info.write_to_file(os.path.join(catalog_path_b, \"partition_info.csv\"))\n \n ## Fake an association table between the two\n tree_a = PixelTree.from_healpix(pixel_list_a)\n tree_b = PixelTree.from_healpix(pixel_list_b)\n alignment = align_trees(tree_a, tree_b)\n alignment_df = alignment.pixel_mapping[\n [\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME,\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME,\n PixelAlignment.JOIN_ORDER_COLUMN_NAME,\n PixelAlignment.JOIN_PIXEL_COLUMN_NAME,\n ]\n ]\n alignment_df = alignment_df.rename(\n columns={\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME: \"Norder\",\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME: \"Npix\",\n }\n )\n \n association_catalog_path = os.path.join(root_dir, \"assocation_a_b\")\n os.makedirs(association_catalog_path, exist_ok=True)\n partition_info = PartitionJoinInfo(alignment_df)\n partition_info.write_to_csv(association_catalog_path)\n \n return (catalog_path_a, catalog_path_b, association_catalog_path)", "min_run_count": 2, "name": "benchmarks.MetadataSuite.time_load_partition_info_order7", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "setup_cache_key": "benchmarks:72", "type": "time", "unit": "seconds", "version": "11e7edc14a82f8c063938abf0cca705b6ececf3f9613d27d104ca724895f7c63", "warmup_time": -1}, "benchmarks.MetadataSuite.time_load_partition_join_info": {"code": "class MetadataSuite:\n def time_load_partition_join_info(self, cache):\n PartitionInfo.read_from_dir(cache[2])\n\n def setup_cache(self):\n root_dir = os.getcwd()\n \n ## Create partition info for catalog a (only at order 7)\n pixel_list_a = [HealpixPixel(7, pixel) for pixel in np.arange(100_000)]\n catalog_path_a = os.path.join(root_dir, \"catalog_a\")\n os.makedirs(catalog_path_a, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_a)\n partition_info.write_to_file(os.path.join(catalog_path_a, \"partition_info.csv\"))\n \n ## Create partition info for catalog a (only at order 6)\n pixel_list_b = [HealpixPixel(6, pixel) for pixel in np.arange(25_000)]\n catalog_path_b = os.path.join(root_dir, \"catalog_b\")\n os.makedirs(catalog_path_b, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_b)\n partition_info.write_to_file(os.path.join(catalog_path_b, \"partition_info.csv\"))\n \n ## Fake an association table between the two\n tree_a = PixelTree.from_healpix(pixel_list_a)\n tree_b = PixelTree.from_healpix(pixel_list_b)\n alignment = align_trees(tree_a, tree_b)\n alignment_df = alignment.pixel_mapping[\n [\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME,\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME,\n PixelAlignment.JOIN_ORDER_COLUMN_NAME,\n PixelAlignment.JOIN_PIXEL_COLUMN_NAME,\n ]\n ]\n alignment_df = alignment_df.rename(\n columns={\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME: \"Norder\",\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME: \"Npix\",\n }\n )\n \n association_catalog_path = os.path.join(root_dir, \"assocation_a_b\")\n os.makedirs(association_catalog_path, exist_ok=True)\n partition_info = PartitionJoinInfo(alignment_df)\n partition_info.write_to_csv(association_catalog_path)\n \n return (catalog_path_a, catalog_path_b, association_catalog_path)", "min_run_count": 2, "name": "benchmarks.MetadataSuite.time_load_partition_join_info", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "setup_cache_key": "benchmarks:72", "type": "time", "unit": "seconds", "version": "c769403a57ec6b1a91c60ffcb9686bf1549195bc2329138d8d69e193dc6a57fd", "warmup_time": -1}, "benchmarks.Suite.time_inner_pixel_alignment": {"code": "class Suite:\n def time_inner_pixel_alignment(self):\n align_trees(self.pixel_tree_1, self.pixel_tree_2)\n\n def setup(self):\n self.pixel_list = [HealpixPixel(8, pixel) for pixel in np.arange(100000)]\n self.pixel_tree_1 = PixelTree.from_healpix(self.pixel_list)\n self.pixel_tree_2 = PixelTree.from_healpix(\n [HealpixPixel(9, pixel) for pixel in np.arange(0, 400000, 4)]\n )", "min_run_count": 2, "name": "benchmarks.Suite.time_inner_pixel_alignment", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "431c5363f39da36f5e31e36d66778137e224f54fb639625a51f62cb4c21d0a44", "warmup_time": -1}, "benchmarks.Suite.time_outer_pixel_alignment": {"code": "class Suite:\n def time_outer_pixel_alignment(self):\n align_trees(self.pixel_tree_1, self.pixel_tree_2, alignment_type=\"outer\")\n\n def setup(self):\n self.pixel_list = [HealpixPixel(8, pixel) for pixel in np.arange(100000)]\n self.pixel_tree_1 = PixelTree.from_healpix(self.pixel_list)\n self.pixel_tree_2 = PixelTree.from_healpix(\n [HealpixPixel(9, pixel) for pixel in np.arange(0, 400000, 4)]\n )", "min_run_count": 2, "name": "benchmarks.Suite.time_outer_pixel_alignment", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "dcc2b55115eedf5805bcb52c36ae0f1f9d3b837e7513b05408ecbc0197b37617", "warmup_time": -1}, "benchmarks.Suite.time_pixel_tree_creation": {"code": "class Suite:\n def time_pixel_tree_creation(self):\n PixelTree.from_healpix(self.pixel_list)\n\n def setup(self):\n self.pixel_list = [HealpixPixel(8, pixel) for pixel in np.arange(100000)]\n self.pixel_tree_1 = PixelTree.from_healpix(self.pixel_list)\n self.pixel_tree_2 = PixelTree.from_healpix(\n [HealpixPixel(9, pixel) for pixel in np.arange(0, 400000, 4)]\n )", "min_run_count": 2, "name": "benchmarks.Suite.time_pixel_tree_creation", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "76c0cb3b7af2250f83e1c2776004130b91d1ce71867e9fcff69c89068bf13bf9", "warmup_time": -1}, "benchmarks.time_test_alignment_even_sky": {"code": "def time_test_alignment_even_sky():\n \"\"\"Create alignment from an even distribution at order 7\"\"\"\n initial_histogram = np.full(hp.order2npix(7), 40)\n result = hist.generate_alignment(initial_histogram, highest_order=7, threshold=1_000)\n # everything maps to order 5, given the density\n for mapping in result:\n assert mapping[0] == 5", "min_run_count": 2, "name": "benchmarks.time_test_alignment_even_sky", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "c4d4cd79963d85a8084022a7439520a28a2bd2b3f63e581aeb1604b2d4f3d2ac", "warmup_time": -1}, "benchmarks.time_test_cone_filter_multiple_order": {"code": "def time_test_cone_filter_multiple_order():\n \"\"\"Create a catalog cone filter where we have multiple orders in the catalog\"\"\"\n catalog_info = TableProperties(\n **{\n \"catalog_name\": \"test_name\",\n \"catalog_type\": \"object\",\n \"total_rows\": 10,\n \"ra_column\": \"ra\",\n \"dec_column\": \"dec\",\n }\n )\n pixels = [HealpixPixel(6, 30), HealpixPixel(7, 124), HealpixPixel(7, 5000)]\n catalog = Catalog(catalog_info, pixels)\n filtered_catalog = catalog.filter_by_cone(47.1, 6, 30 * 3600)\n assert filtered_catalog.get_healpix_pixels() == [HealpixPixel(6, 30), HealpixPixel(7, 124)]", "min_run_count": 2, "name": "benchmarks.time_test_cone_filter_multiple_order", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "ada9f87a0abf9c0a0b0f512158bb21251f2577b5cf4a131246b2b3c4c1e67a2e", "warmup_time": -1}}, "machines": {"gh-runner": {"machine": "gh-runner", "version": 1}}, "tags": {"0.0.2": 35, "0.0.4": 62, "v0.0.10": 217, "v0.0.11": 238, "v0.0.12": 264, "v0.0.13": 306, "v0.0.14": 306, "v0.0.3": 54, "v0.0.5": 103, "v0.0.6": 138, "v0.0.7": 150, "v0.0.8": 153, "v0.0.9": 199, "v0.1": 306, "v0.1.1": 330, "v0.1.2": 355, "v0.1.3": 364, "v0.1.4": 431, "v0.1.5": 476, "v0.1.6": 495, "v0.1.7": 506, "v0.1.8": 508, "v0.2.0": 522, "v0.2.1": 529, "v0.2.10": 638, "v0.2.2": 538, "v0.2.3": 544, "v0.2.4": 564, "v0.2.5": 572, "v0.2.6": 585, "v0.2.7": 602, "v0.2.8": 607, "v0.2.9": 614, "v0.3.0": 669, "v0.3.1": 688, "v0.3.2": 695, "v0.3.3": 697, "v0.3.4": 713, "v0.3.5": 726, "v0.3.6": 736, "v0.3.7": 739, "v0.3.8": 749, "v0.3.9": 754, "v0.4.0": 760, "v0.4.1": 770, "v0.4.2": 807, "v0.4.3": 822, "v0.4.4": 828}, "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
+{"project": "hats", "project_url": "https://github.com/astronomy-commons/hats", "show_commit_url": "https://github.com/astronomy-commons/hats/commit", "hash_length": 8, "revision_to_hash": {"0": "75707d8d9990752ef01a997a5699f95c806da559", "9": "8488c6f097e6a13e6fe42e209bc7d1023e1bc7f8", "11": "6bd74733c0eebf9a2275f96fee79f64adc73133b", "13": "05bf21def8039b92607c5b09b393582fc7cca58b", "17": "99f94d7d5eec1c32f3a07fb6de761e822f78a4d8", "19": "220799b48ac3d5dc8c14df19fca3c5cc7a041704", "30": "a8680c7c3a1be6f46be60c0f361e185f5058b255", "33": "736c970b31ae615b3d1a525cc20ff20ca75870ee", "35": "e901d9e06416c3f8c1309a02e56072e1a2273f51", "39": "48fa46cfe084fe38ad9305b4ab48bb73fc96afa2", "41": "9a1184eeb50ca43e447f836711df458c79657823", "45": "b4e0a574e70af5b261dee09be48d95fc16686217", "47": "431c3856d0b8534a4df572b07519050dc4ea12bc", "54": "2083e591bd57e1a45cd9fb9d188dcd53742853fd", "57": "f40c10c346ed2a197f232c5e4f1d2469273c2053", "61": "a4613ad7d88a85c0162b71101f8bacea2e264501", "62": 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1733146800000, "831": 1733146837000, "832": 1733170711000, "833": 1733322170000, "834": 1733436760000, "835": 1733511311000, "837": 1733767218000}, "params": {"machine": ["gh-runner"], "python": ["3.10", "3.11"], "Cython": [""], "build": [""], "packaging": [""], "branch": ["HEAD"]}, "graph_param_list": [{"machine": "gh-runner", "python": "3.11", "Cython": "", "build": "", "packaging": "", "branch": "HEAD"}, {"machine": "gh-runner", "python": "3.10", "Cython": "", "build": "", "packaging": "", "branch": "HEAD"}], "benchmarks": {"benchmarks.MetadataSuite.time_load_partition_info_order6": {"code": "class MetadataSuite:\n def time_load_partition_info_order6(self, cache):\n PartitionInfo.read_from_dir(cache[1])\n\n def setup_cache(self):\n root_dir = os.getcwd()\n \n ## Create partition info for catalog a (only at order 7)\n pixel_list_a = [HealpixPixel(7, pixel) for pixel in np.arange(100_000)]\n catalog_path_a = os.path.join(root_dir, \"catalog_a\")\n os.makedirs(catalog_path_a, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_a)\n partition_info.write_to_file(os.path.join(catalog_path_a, \"partition_info.csv\"))\n \n ## Create partition info for catalog a (only at order 6)\n pixel_list_b = [HealpixPixel(6, pixel) for pixel in np.arange(25_000)]\n catalog_path_b = os.path.join(root_dir, \"catalog_b\")\n os.makedirs(catalog_path_b, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_b)\n partition_info.write_to_file(os.path.join(catalog_path_b, \"partition_info.csv\"))\n \n ## Fake an association table between the two\n tree_a = PixelTree.from_healpix(pixel_list_a)\n tree_b = PixelTree.from_healpix(pixel_list_b)\n alignment = align_trees(tree_a, tree_b)\n alignment_df = alignment.pixel_mapping[\n [\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME,\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME,\n PixelAlignment.JOIN_ORDER_COLUMN_NAME,\n PixelAlignment.JOIN_PIXEL_COLUMN_NAME,\n ]\n ]\n alignment_df = alignment_df.rename(\n columns={\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME: \"Norder\",\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME: \"Npix\",\n }\n )\n \n association_catalog_path = os.path.join(root_dir, \"assocation_a_b\")\n os.makedirs(association_catalog_path, exist_ok=True)\n partition_info = PartitionJoinInfo(alignment_df)\n partition_info.write_to_csv(association_catalog_path)\n \n return (catalog_path_a, catalog_path_b, association_catalog_path)", "min_run_count": 2, "name": "benchmarks.MetadataSuite.time_load_partition_info_order6", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "setup_cache_key": "benchmarks:72", "type": "time", "unit": "seconds", "version": "e431b00caf270712fec98bcb3b4b887c36579beca1a9d9cdfbd9571287b975a9", "warmup_time": -1}, "benchmarks.MetadataSuite.time_load_partition_info_order7": {"code": "class MetadataSuite:\n def time_load_partition_info_order7(self, cache):\n PartitionInfo.read_from_dir(cache[0])\n\n def setup_cache(self):\n root_dir = os.getcwd()\n \n ## Create partition info for catalog a (only at order 7)\n pixel_list_a = [HealpixPixel(7, pixel) for pixel in np.arange(100_000)]\n catalog_path_a = os.path.join(root_dir, \"catalog_a\")\n os.makedirs(catalog_path_a, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_a)\n partition_info.write_to_file(os.path.join(catalog_path_a, \"partition_info.csv\"))\n \n ## Create partition info for catalog a (only at order 6)\n pixel_list_b = [HealpixPixel(6, pixel) for pixel in np.arange(25_000)]\n catalog_path_b = os.path.join(root_dir, \"catalog_b\")\n os.makedirs(catalog_path_b, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_b)\n partition_info.write_to_file(os.path.join(catalog_path_b, \"partition_info.csv\"))\n \n ## Fake an association table between the two\n tree_a = PixelTree.from_healpix(pixel_list_a)\n tree_b = PixelTree.from_healpix(pixel_list_b)\n alignment = align_trees(tree_a, tree_b)\n alignment_df = alignment.pixel_mapping[\n [\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME,\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME,\n PixelAlignment.JOIN_ORDER_COLUMN_NAME,\n PixelAlignment.JOIN_PIXEL_COLUMN_NAME,\n ]\n ]\n alignment_df = alignment_df.rename(\n columns={\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME: \"Norder\",\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME: \"Npix\",\n }\n )\n \n association_catalog_path = os.path.join(root_dir, \"assocation_a_b\")\n os.makedirs(association_catalog_path, exist_ok=True)\n partition_info = PartitionJoinInfo(alignment_df)\n partition_info.write_to_csv(association_catalog_path)\n \n return (catalog_path_a, catalog_path_b, association_catalog_path)", "min_run_count": 2, "name": "benchmarks.MetadataSuite.time_load_partition_info_order7", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "setup_cache_key": "benchmarks:72", "type": "time", "unit": "seconds", "version": "11e7edc14a82f8c063938abf0cca705b6ececf3f9613d27d104ca724895f7c63", "warmup_time": -1}, "benchmarks.MetadataSuite.time_load_partition_join_info": {"code": "class MetadataSuite:\n def time_load_partition_join_info(self, cache):\n PartitionInfo.read_from_dir(cache[2])\n\n def setup_cache(self):\n root_dir = os.getcwd()\n \n ## Create partition info for catalog a (only at order 7)\n pixel_list_a = [HealpixPixel(7, pixel) for pixel in np.arange(100_000)]\n catalog_path_a = os.path.join(root_dir, \"catalog_a\")\n os.makedirs(catalog_path_a, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_a)\n partition_info.write_to_file(os.path.join(catalog_path_a, \"partition_info.csv\"))\n \n ## Create partition info for catalog a (only at order 6)\n pixel_list_b = [HealpixPixel(6, pixel) for pixel in np.arange(25_000)]\n catalog_path_b = os.path.join(root_dir, \"catalog_b\")\n os.makedirs(catalog_path_b, exist_ok=True)\n partition_info = PartitionInfo.from_healpix(pixel_list_b)\n partition_info.write_to_file(os.path.join(catalog_path_b, \"partition_info.csv\"))\n \n ## Fake an association table between the two\n tree_a = PixelTree.from_healpix(pixel_list_a)\n tree_b = PixelTree.from_healpix(pixel_list_b)\n alignment = align_trees(tree_a, tree_b)\n alignment_df = alignment.pixel_mapping[\n [\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME,\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME,\n PixelAlignment.JOIN_ORDER_COLUMN_NAME,\n PixelAlignment.JOIN_PIXEL_COLUMN_NAME,\n ]\n ]\n alignment_df = alignment_df.rename(\n columns={\n PixelAlignment.PRIMARY_ORDER_COLUMN_NAME: \"Norder\",\n PixelAlignment.PRIMARY_PIXEL_COLUMN_NAME: \"Npix\",\n }\n )\n \n association_catalog_path = os.path.join(root_dir, \"assocation_a_b\")\n os.makedirs(association_catalog_path, exist_ok=True)\n partition_info = PartitionJoinInfo(alignment_df)\n partition_info.write_to_csv(association_catalog_path)\n \n return (catalog_path_a, catalog_path_b, association_catalog_path)", "min_run_count": 2, "name": "benchmarks.MetadataSuite.time_load_partition_join_info", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "setup_cache_key": "benchmarks:72", "type": "time", "unit": "seconds", "version": "c769403a57ec6b1a91c60ffcb9686bf1549195bc2329138d8d69e193dc6a57fd", "warmup_time": -1}, "benchmarks.Suite.time_inner_pixel_alignment": {"code": "class Suite:\n def time_inner_pixel_alignment(self):\n align_trees(self.pixel_tree_1, self.pixel_tree_2)\n\n def setup(self):\n self.pixel_list = [HealpixPixel(8, pixel) for pixel in np.arange(100000)]\n self.pixel_tree_1 = PixelTree.from_healpix(self.pixel_list)\n self.pixel_tree_2 = PixelTree.from_healpix(\n [HealpixPixel(9, pixel) for pixel in np.arange(0, 400000, 4)]\n )", "min_run_count": 2, "name": "benchmarks.Suite.time_inner_pixel_alignment", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "431c5363f39da36f5e31e36d66778137e224f54fb639625a51f62cb4c21d0a44", "warmup_time": -1}, "benchmarks.Suite.time_outer_pixel_alignment": {"code": "class Suite:\n def time_outer_pixel_alignment(self):\n align_trees(self.pixel_tree_1, self.pixel_tree_2, alignment_type=\"outer\")\n\n def setup(self):\n self.pixel_list = [HealpixPixel(8, pixel) for pixel in np.arange(100000)]\n self.pixel_tree_1 = PixelTree.from_healpix(self.pixel_list)\n self.pixel_tree_2 = PixelTree.from_healpix(\n [HealpixPixel(9, pixel) for pixel in np.arange(0, 400000, 4)]\n )", "min_run_count": 2, "name": "benchmarks.Suite.time_outer_pixel_alignment", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "dcc2b55115eedf5805bcb52c36ae0f1f9d3b837e7513b05408ecbc0197b37617", "warmup_time": -1}, "benchmarks.Suite.time_pixel_tree_creation": {"code": "class Suite:\n def time_pixel_tree_creation(self):\n PixelTree.from_healpix(self.pixel_list)\n\n def setup(self):\n self.pixel_list = [HealpixPixel(8, pixel) for pixel in np.arange(100000)]\n self.pixel_tree_1 = PixelTree.from_healpix(self.pixel_list)\n self.pixel_tree_2 = PixelTree.from_healpix(\n [HealpixPixel(9, pixel) for pixel in np.arange(0, 400000, 4)]\n )", "min_run_count": 2, "name": "benchmarks.Suite.time_pixel_tree_creation", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "76c0cb3b7af2250f83e1c2776004130b91d1ce71867e9fcff69c89068bf13bf9", "warmup_time": -1}, "benchmarks.time_test_alignment_even_sky": {"code": "def time_test_alignment_even_sky():\n \"\"\"Create alignment from an even distribution at order 7\"\"\"\n initial_histogram = np.full(hp.order2npix(7), 40)\n result = hist.generate_alignment(initial_histogram, highest_order=7, threshold=1_000)\n # everything maps to order 5, given the density\n for mapping in result:\n assert mapping[0] == 5", "min_run_count": 2, "name": "benchmarks.time_test_alignment_even_sky", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "c4d4cd79963d85a8084022a7439520a28a2bd2b3f63e581aeb1604b2d4f3d2ac", "warmup_time": -1}, "benchmarks.time_test_cone_filter_multiple_order": {"code": "def time_test_cone_filter_multiple_order():\n \"\"\"Create a catalog cone filter where we have multiple orders in the catalog\"\"\"\n catalog_info = TableProperties(\n **{\n \"catalog_name\": \"test_name\",\n \"catalog_type\": \"object\",\n \"total_rows\": 10,\n \"ra_column\": \"ra\",\n \"dec_column\": \"dec\",\n }\n )\n pixels = [HealpixPixel(6, 30), HealpixPixel(7, 124), HealpixPixel(7, 5000)]\n catalog = Catalog(catalog_info, pixels)\n filtered_catalog = catalog.filter_by_cone(47.1, 6, 30 * 3600)\n assert filtered_catalog.get_healpix_pixels() == [HealpixPixel(6, 30), HealpixPixel(7, 124)]", "min_run_count": 2, "name": "benchmarks.time_test_cone_filter_multiple_order", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "ada9f87a0abf9c0a0b0f512158bb21251f2577b5cf4a131246b2b3c4c1e67a2e", "warmup_time": -1}}, "machines": {"gh-runner": {"machine": "gh-runner", "version": 1}}, "tags": {"0.0.2": 35, "0.0.4": 62, "v0.0.10": 217, "v0.0.11": 238, "v0.0.12": 264, "v0.0.13": 306, "v0.0.14": 306, "v0.0.3": 54, "v0.0.5": 103, "v0.0.6": 138, "v0.0.7": 150, "v0.0.8": 153, "v0.0.9": 199, "v0.1": 306, "v0.1.1": 330, "v0.1.2": 355, "v0.1.3": 364, "v0.1.4": 431, "v0.1.5": 476, "v0.1.6": 495, "v0.1.7": 506, "v0.1.8": 508, "v0.2.0": 522, "v0.2.1": 529, "v0.2.10": 638, "v0.2.2": 538, "v0.2.3": 544, "v0.2.4": 564, "v0.2.5": 572, "v0.2.6": 585, "v0.2.7": 602, "v0.2.8": 607, "v0.2.9": 614, "v0.3.0": 669, "v0.3.1": 688, "v0.3.2": 695, "v0.3.3": 697, "v0.3.4": 713, "v0.3.5": 726, "v0.3.6": 736, "v0.3.7": 739, "v0.3.8": 749, "v0.3.9": 754, "v0.4.0": 760, "v0.4.1": 770, "v0.4.2": 807, "v0.4.3": 822, "v0.4.4": 828, "v0.4.5": 835}, "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 c70418b4..82711f11 100644
--- a/info.json
+++ b/info.json
@@ -1,4 +1,4 @@
{
"asv-version": "0.6.4",
- "timestamp": 1733514857221
+ "timestamp": 1733767360402
}
\ No newline at end of file
diff --git a/regressions.json b/regressions.json
index b395e8c8..60ef391a 100644
--- a/regressions.json
+++ b/regressions.json
@@ -1 +1 @@
-{"regressions": [["benchmarks.time_test_alignment_even_sky", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_alignment_even_sky.json", {"python": "3.11"}, null, 0.11723324000001867, 0.10980848050007808, [[null, 774, 0.10980848050007808, 0.11723324000001867]]], ["benchmarks.Suite.time_pixel_tree_creation", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_pixel_tree_creation.json", {"python": "3.11"}, null, 0.0399780165000152, 0.03786867799999527, [[null, 774, 0.03786867799999527, 0.0399780165000152]]], ["benchmarks.time_test_cone_filter_multiple_order", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_cone_filter_multiple_order.json", {"python": "3.11"}, null, 0.0010245179998946696, 0.0009254564090910703, [[null, 803, 0.0009387372727525706, 0.0010245179998946696]]], ["benchmarks.Suite.time_pixel_tree_creation", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.Suite.time_pixel_tree_creation.json", {"python": "3.10"}, null, 0.04592017900003498, 0.04121811200002412, [[null, 773, 0.04121811200002412, 0.04592017900003498]]], ["benchmarks.MetadataSuite.time_load_partition_join_info", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.MetadataSuite.time_load_partition_join_info.json", {"python": "3.10"}, null, 0.0943834394999783, 0.07705221150001762, [[null, 775, 0.07705221150001762, 0.0943834394999783]]], ["benchmarks.time_test_cone_filter_multiple_order", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_test_cone_filter_multiple_order.json", {"python": "3.10"}, null, 0.0010347694999950363, 0.0009646936363636046, [[null, 770, 0.0009680561363645459, 0.0009646936363636046]]]]}
\ No newline at end of file
+{"regressions": [["benchmarks.Suite.time_pixel_tree_creation", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.Suite.time_pixel_tree_creation.json", {"python": "3.11"}, null, 0.04006462049994752, 0.03786867799999527, [[null, 774, 0.03786867799999527, 0.04006462049994752]]], ["benchmarks.time_test_cone_filter_multiple_order", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_cone_filter_multiple_order.json", {"python": "3.11"}, null, 0.001025745500044195, 0.0009254564090910703, [[null, 803, 0.0009387372727525706, 0.001025745500044195]]], ["benchmarks.time_test_alignment_even_sky", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.11/benchmarks.time_test_alignment_even_sky.json", {"python": "3.11"}, null, 0.11723324000001867, 0.10980848050007808, [[null, 774, 0.10980848050007808, 0.11723324000001867]]], ["benchmarks.Suite.time_pixel_tree_creation", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.Suite.time_pixel_tree_creation.json", {"python": "3.10"}, null, 0.04592017900003498, 0.04121811200002412, [[null, 773, 0.04121811200002412, 0.04592017900003498]]], ["benchmarks.MetadataSuite.time_load_partition_join_info", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.MetadataSuite.time_load_partition_join_info.json", {"python": "3.10"}, null, 0.0943834394999783, 0.07705221150001762, [[null, 775, 0.07705221150001762, 0.0943834394999783]]], ["benchmarks.time_test_cone_filter_multiple_order", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.time_test_cone_filter_multiple_order.json", {"python": "3.10"}, null, 0.0010347694999950363, 0.0009646936363636046, [[null, 770, 0.0009680561363645459, 0.0009646936363636046]]]]}
\ No newline at end of file
diff --git a/regressions.xml b/regressions.xml
index 636ec477..b965a09b 100644
--- a/regressions.xml
+++ b/regressions.xml
@@ -5,16 +5,16 @@
than best value 965μs).tag:hats.asv,2024-10-22:/25769d0d76a34a7baada01f8ee8f289c8debcbe3bdc67abf0dc4a70e0279af3611.41% benchmarks.Suite.time_pixel_tree_creation2024-12-06T19:31:58Z<a href="index.html#benchmarks.Suite.time_pixel_tree_creation?python=3.10&commits=cd18fe36a4ede25a65b4481f17a862802865464d">11.41% regression</a> on 2024-10-22 18:39:24 in commit <a href="https://github.com/astronomy-commons/hats/commitcd18fe36a4ede25a65b4481f17a862802865464d">cd18fe36</a>.<br>
New value: 45.9ms, old value: 41.2ms.<br>
Latest value: 45.9ms (11.41% worse
- than best value 41.2ms).tag:hats.asv,2024-10-25:/ff825e9f2fbfd3a07cb40fbca3b50e7bec45c8a8d60389cccde4f063b1cc8ab39.14% benchmarks.time_test_cone_filter_multiple_order2024-10-25T17:43:58Z<a href="index.html#benchmarks.time_test_cone_filter_multiple_order?python=3.11&commits=f2704b837a0759109f0e49ac743089c4f7bfd453">9.14% regression</a> on 2024-10-25 17:41:10 in commit <a href="https://github.com/astronomy-commons/hats/commitf2704b837a0759109f0e49ac743089c4f7bfd453">f2704b83</a>.<br>
- New value: 1.02ms, old value: 939μs.<br>
- Latest value: 1.02ms (10.70% worse
+ than best value 41.2ms).tag:hats.asv,2024-10-25:/ff825e9f2fbfd3a07cb40fbca3b50e7bec45c8a8d60389cccde4f063b1cc8ab39.27% benchmarks.time_test_cone_filter_multiple_order2024-10-25T17:43:58Z<a href="index.html#benchmarks.time_test_cone_filter_multiple_order?python=3.11&commits=f2704b837a0759109f0e49ac743089c4f7bfd453">9.27% regression</a> on 2024-10-25 17:41:10 in commit <a href="https://github.com/astronomy-commons/hats/commitf2704b837a0759109f0e49ac743089c4f7bfd453">f2704b83</a>.<br>
+ New value: 1.03ms, old value: 939μs.<br>
+ Latest value: 1.03ms (10.84% worse
than best value 925μs).tag:hats.asv,2024-10-23:/de821484700ca20552d13f4c71070a11c3f27d4c9e2b469b3d54e7b80d1d554b22.49% benchmarks.MetadataSuite.time_load_partition_join_info2024-10-23T12:34:43Z<a href="index.html#benchmarks.MetadataSuite.time_load_partition_join_info?python=3.10&commits=499c66aa5db1d9f1b8bd10e3a2741b1f0e673e10">22.49% regression</a> on 2024-10-23 12:32:06 in commit <a href="https://github.com/astronomy-commons/hats/commit499c66aa5db1d9f1b8bd10e3a2741b1f0e673e10">499c66aa</a>.<br>
New value: 94.4ms, old value: 77.1ms.<br>
Latest value: 94.4ms (22.49% worse
than best value 77.1ms).tag:hats.asv,2024-10-22:/1a2cb187cb2efd6c9108f29f255c8918e787466569e5ab4a0ae08d4588cbb81f6.76% benchmarks.time_test_alignment_even_sky2024-10-22T19:01:49Z<a href="index.html#benchmarks.time_test_alignment_even_sky?python=3.11&commits=fc05f667be92d5923b8284524f5a21022c5c08e6">6.76% regression</a> on 2024-10-22 18:59:04 in commit <a href="https://github.com/astronomy-commons/hats/commitfc05f667be92d5923b8284524f5a21022c5c08e6">fc05f667</a>.<br>
New value: 117ms, old value: 110ms.<br>
Latest value: 117ms (6.76% worse
- than best value 110ms).tag:hats.asv,2024-10-22:/eef2a1993e9ea58cc58d5d95719ac5a5817ccc6d4f26b6c6fbd6fba49c0cd10a5.57% benchmarks.Suite.time_pixel_tree_creation2024-10-22T19:01:48Z<a href="index.html#benchmarks.Suite.time_pixel_tree_creation?python=3.11&commits=fc05f667be92d5923b8284524f5a21022c5c08e6">5.57% regression</a> on 2024-10-22 18:59:04 in commit <a href="https://github.com/astronomy-commons/hats/commitfc05f667be92d5923b8284524f5a21022c5c08e6">fc05f667</a>.<br>
- New value: 40.0ms, old value: 37.9ms.<br>
- Latest value: 40.0ms (5.57% worse
+ than best value 110ms).tag:hats.asv,2024-10-22:/eef2a1993e9ea58cc58d5d95719ac5a5817ccc6d4f26b6c6fbd6fba49c0cd10a5.80% benchmarks.Suite.time_pixel_tree_creation2024-10-22T19:01:48Z<a href="index.html#benchmarks.Suite.time_pixel_tree_creation?python=3.11&commits=fc05f667be92d5923b8284524f5a21022c5c08e6">5.80% regression</a> on 2024-10-22 18:59:04 in commit <a href="https://github.com/astronomy-commons/hats/commitfc05f667be92d5923b8284524f5a21022c5c08e6">fc05f667</a>.<br>
+ New value: 40.1ms, old value: 37.9ms.<br>
+ Latest value: 40.1ms (5.80% worse
than best value 37.9ms).
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