diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json
index 8e1029c..c321476 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.time_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.time_run.json
index 5db01a7..fbe5d0d 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.time_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.time_run.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.NestedFrameAddNested.peakmem_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameAddNested.peakmem_run.json
index d130bd1..6300890 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameAddNested.peakmem_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameAddNested.peakmem_run.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.NestedFrameAddNested.time_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameAddNested.time_run.json
index 5e490e7..bd3b721 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameAddNested.time_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameAddNested.time_run.json
@@ -1 +1 @@
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.peakmem_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.peakmem_run.json
index 18fe0b3..f72a83c 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.peakmem_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.peakmem_run.json
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.time_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.time_run.json
index 45d5762..0069711 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.time_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameQuery.time_run.json
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.peakmem_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.peakmem_run.json
index 798d55f..e3a7ff3 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.peakmem_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.peakmem_run.json
@@ -1 +1 @@
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diff --git a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.time_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.time_run.json
index 7126346..ba00d23 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.time_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.time_run.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.ReassignHalfOfNestedSeries.peakmem_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.ReassignHalfOfNestedSeries.peakmem_run.json
index f63409e..756778b 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.ReassignHalfOfNestedSeries.peakmem_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.ReassignHalfOfNestedSeries.peakmem_run.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.ReassignHalfOfNestedSeries.time_run.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.ReassignHalfOfNestedSeries.time_run.json
index ef439bb..0035469 100644
--- a/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.ReassignHalfOfNestedSeries.time_run.json
+++ b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.ReassignHalfOfNestedSeries.time_run.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/summary.json b/graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/summary.json
index 9c53d85..61b2779 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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diff --git a/graphs/summary/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json b/graphs/summary/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json
index 8e1029c..c321476 100644
--- a/graphs/summary/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json
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diff --git a/graphs/summary/benchmarks.AssignSingleDfToNestedSeries.time_run.json b/graphs/summary/benchmarks.AssignSingleDfToNestedSeries.time_run.json
index 5db01a7..fbe5d0d 100644
--- a/graphs/summary/benchmarks.AssignSingleDfToNestedSeries.time_run.json
+++ b/graphs/summary/benchmarks.AssignSingleDfToNestedSeries.time_run.json
@@ -1 +1 @@
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diff --git a/graphs/summary/benchmarks.NestedFrameAddNested.peakmem_run.json b/graphs/summary/benchmarks.NestedFrameAddNested.peakmem_run.json
index d130bd1..6300890 100644
--- a/graphs/summary/benchmarks.NestedFrameAddNested.peakmem_run.json
+++ b/graphs/summary/benchmarks.NestedFrameAddNested.peakmem_run.json
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diff --git a/graphs/summary/benchmarks.NestedFrameAddNested.time_run.json b/graphs/summary/benchmarks.NestedFrameAddNested.time_run.json
index 5e490e7..bd3b721 100644
--- a/graphs/summary/benchmarks.NestedFrameAddNested.time_run.json
+++ b/graphs/summary/benchmarks.NestedFrameAddNested.time_run.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/benchmarks.NestedFrameQuery.peakmem_run.json b/graphs/summary/benchmarks.NestedFrameQuery.peakmem_run.json
index 18fe0b3..f72a83c 100644
--- a/graphs/summary/benchmarks.NestedFrameQuery.peakmem_run.json
+++ b/graphs/summary/benchmarks.NestedFrameQuery.peakmem_run.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.NestedFrameQuery.time_run.json b/graphs/summary/benchmarks.NestedFrameQuery.time_run.json
index 45d5762..0069711 100644
--- a/graphs/summary/benchmarks.NestedFrameQuery.time_run.json
+++ b/graphs/summary/benchmarks.NestedFrameQuery.time_run.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.NestedFrameReduce.peakmem_run.json b/graphs/summary/benchmarks.NestedFrameReduce.peakmem_run.json
index 798d55f..e3a7ff3 100644
--- a/graphs/summary/benchmarks.NestedFrameReduce.peakmem_run.json
+++ b/graphs/summary/benchmarks.NestedFrameReduce.peakmem_run.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.NestedFrameReduce.time_run.json b/graphs/summary/benchmarks.NestedFrameReduce.time_run.json
index 7126346..ba00d23 100644
--- a/graphs/summary/benchmarks.NestedFrameReduce.time_run.json
+++ b/graphs/summary/benchmarks.NestedFrameReduce.time_run.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.ReassignHalfOfNestedSeries.peakmem_run.json b/graphs/summary/benchmarks.ReassignHalfOfNestedSeries.peakmem_run.json
index f63409e..756778b 100644
--- a/graphs/summary/benchmarks.ReassignHalfOfNestedSeries.peakmem_run.json
+++ b/graphs/summary/benchmarks.ReassignHalfOfNestedSeries.peakmem_run.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.ReassignHalfOfNestedSeries.time_run.json b/graphs/summary/benchmarks.ReassignHalfOfNestedSeries.time_run.json
index ef439bb..0035469 100644
--- a/graphs/summary/benchmarks.ReassignHalfOfNestedSeries.time_run.json
+++ b/graphs/summary/benchmarks.ReassignHalfOfNestedSeries.time_run.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 9388bdb..b04a099 100644
--- a/index.json
+++ b/index.json
@@ -1 +1 @@
-{"project": "nested-pandas", "project_url": "https://github.com/lincc-frameworks/nested-pandas", "show_commit_url": "https://github.com/lincc-frameworks/nested-pandas/commit/", "hash_length": 8, "revision_to_hash": {"0": "70b520ee45f14a642519b413399edc584795095d", "1": "d8ea9bda0fcb5d729f3ca55b91df33652a409323", "3": "48c6798c90b202dfd3eb325b2e56ac972ab3219a", "4": "bc320bce49750cd3fcb6278e0a060ed57e62bd77", "6": "b78b3b61ce9619716dc74f50bd2dc9994f12123c", "10": "05cc195f6037872a3ac0d49081d89b7374f5cb41", "16": "a1d41363e2f60a4689d512e9d7965b526946d551", "18": "dfb9139c39c4b5c695a8e296098ccfb2f9bc2ec5", "20": "9ca3810ef2729f910f999bd88dd15003f1bf7021", "21": "e04f558b879a6bfd9ae916691fb15fb5f3df8666", "22": "70afe87150f7221c858c90f4125398e4e502f8fc", "28": "00be4642a5dbe446ab85f018fe64ead72bf190a2", "33": "136f2c50571728c795c6e8a08d0df4036353f4d6", "39": "e43b187addfaa16b89d974bee67b59d61ed4017d", "40": "b822a14532f190820039018fc9165af45bd5ec4f", "50": 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1732661124000, "279": 1732663108000}, "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.AssignSingleDfToNestedSeries.peakmem_run": {"code": "class AssignSingleDfToNestedSeries:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        self.new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we\n            # need to order by field name here for backwards compatibility.\n            dtype=NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()}),\n        )", "name": "benchmarks.AssignSingleDfToNestedSeries.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "6106a8befbead9252b00aef6a759a13bb8654dc82f15c86b5bb6da7262f4571c"}, "benchmarks.AssignSingleDfToNestedSeries.time_run": {"code": "class AssignSingleDfToNestedSeries:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        self.new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we\n            # need to order by field name here for backwards compatibility.\n            dtype=NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()}),\n        )", "min_run_count": 2, "name": "benchmarks.AssignSingleDfToNestedSeries.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "561679277ad2275813ce0c17ad97dbe31f41b12cdb6533009f12ae1f7b057caf", "warmup_time": -1}, "benchmarks.NestedFrameAddNested.peakmem_run": {"code": "class NestedFrameAddNested:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of adding a nested layer\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        # use provided seed, \"None\" acts as if no seed is provided\n        randomstate = np.random.RandomState(seed=1)\n    \n        # Generate base data\n        base_data = {\"a\": randomstate.random(self.n_base), \"b\": randomstate.random(self.n_base) * 2}\n        self.base_nf = NestedFrame(data=base_data)\n    \n        layer_data = {\n            \"t\": randomstate.random(self.layer_size * self.n_base) * 20,\n            \"flux\": randomstate.random(self.layer_size * self.n_base) * 100,\n            \"band\": randomstate.choice([\"r\", \"g\"], size=self.layer_size * self.n_base),\n            \"index\": np.arange(self.layer_size * self.n_base) % self.n_base,\n        }\n        self.layer_nf = NestedFrame(data=layer_data).set_index(\"index\")", "name": "benchmarks.NestedFrameAddNested.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "7222660c05e164eeabe42a9ea1f18045af2e407dd1e1bb788010eaad7294ba85"}, "benchmarks.NestedFrameAddNested.time_run": {"code": "class NestedFrameAddNested:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of adding a nested layer\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        # use provided seed, \"None\" acts as if no seed is provided\n        randomstate = np.random.RandomState(seed=1)\n    \n        # Generate base data\n        base_data = {\"a\": randomstate.random(self.n_base), \"b\": randomstate.random(self.n_base) * 2}\n        self.base_nf = NestedFrame(data=base_data)\n    \n        layer_data = {\n            \"t\": randomstate.random(self.layer_size * self.n_base) * 20,\n            \"flux\": randomstate.random(self.layer_size * self.n_base) * 100,\n            \"band\": randomstate.choice([\"r\", \"g\"], size=self.layer_size * self.n_base),\n            \"index\": np.arange(self.layer_size * self.n_base) % self.n_base,\n        }\n        self.layer_nf = NestedFrame(data=layer_data).set_index(\"index\")", "min_run_count": 2, "name": "benchmarks.NestedFrameAddNested.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "51982ce9982d11255339dc387081a0db496f1856294c479e72d65e2a4f5fb506", "warmup_time": -1}, "benchmarks.NestedFrameQuery.peakmem_run": {"code": "class NestedFrameQuery:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of applying the two queries\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "name": "benchmarks.NestedFrameQuery.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "cdc2254d41009fb5e493b99ed753b9d677a385388103705b16f1b486c03217c2"}, "benchmarks.NestedFrameQuery.time_run": {"code": "class NestedFrameQuery:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of applying the two queries\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "min_run_count": 2, "name": "benchmarks.NestedFrameQuery.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "e9944ed6698261a36de55f71c8228b4fcaa8a50b56657fd8132fc6488238f484", "warmup_time": -1}, "benchmarks.NestedFrameReduce.peakmem_run": {"code": "class NestedFrameReduce:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of applying the reduce function\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "name": "benchmarks.NestedFrameReduce.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "0dc3aac5f09ea8525a745669cff6fca764fabb7cbe35db18f7d46f7377bfea12"}, "benchmarks.NestedFrameReduce.time_run": {"code": "class NestedFrameReduce:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of applying the reduce function\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "min_run_count": 2, "name": "benchmarks.NestedFrameReduce.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "5259b45d6e432e2b3eb25050a9581ac63703fbbae1e1fd98cc2fe7b83a9e8b95", "warmup_time": -1}, "benchmarks.ReassignHalfOfNestedSeries.peakmem_run": {"code": "class ReassignHalfOfNestedSeries:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we need to\n        # order by field name here for backwards compatibility.\n        dtype = NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()})\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            dtype=dtype,\n        )\n    \n        new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        self.new_series = pd.Series([new_df] * (self.n_objects // 2), dtype=dtype)", "name": "benchmarks.ReassignHalfOfNestedSeries.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "567fe640051453cd164d11ee74a8aff8c06e2b89a239133ddcc020d9fe426a55"}, "benchmarks.ReassignHalfOfNestedSeries.time_run": {"code": "class ReassignHalfOfNestedSeries:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we need to\n        # order by field name here for backwards compatibility.\n        dtype = NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()})\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            dtype=dtype,\n        )\n    \n        new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        self.new_series = pd.Series([new_df] * (self.n_objects // 2), dtype=dtype)", "min_run_count": 2, "name": "benchmarks.ReassignHalfOfNestedSeries.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "9d18ab926df92e4580e7dcbb3760d4206342c672b1e879d7e5a0a3542904b9e4", "warmup_time": -1}}, "machines": {"gh-runner": {"machine": "gh-runner", "version": 1}}, "tags": {"v0.1": 142, "v0.1.1": 165, "v0.1.2": 188, "v0.1.3": 198, "v0.2.0": 218, "v0.2.1": 221, "v0.2.2": 223, "v0.3.0": 267, "v0.3.1": 269, "v0.3.2": 270}, "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": "nested-pandas", "project_url": "https://github.com/lincc-frameworks/nested-pandas", "show_commit_url": "https://github.com/lincc-frameworks/nested-pandas/commit/", "hash_length": 8, "revision_to_hash": {"0": "70b520ee45f14a642519b413399edc584795095d", "1": "d8ea9bda0fcb5d729f3ca55b91df33652a409323", "3": "48c6798c90b202dfd3eb325b2e56ac972ab3219a", "4": "bc320bce49750cd3fcb6278e0a060ed57e62bd77", "6": "b78b3b61ce9619716dc74f50bd2dc9994f12123c", "10": "05cc195f6037872a3ac0d49081d89b7374f5cb41", "16": "a1d41363e2f60a4689d512e9d7965b526946d551", "18": "dfb9139c39c4b5c695a8e296098ccfb2f9bc2ec5", "20": "9ca3810ef2729f910f999bd88dd15003f1bf7021", "21": "e04f558b879a6bfd9ae916691fb15fb5f3df8666", "22": "70afe87150f7221c858c90f4125398e4e502f8fc", "28": "00be4642a5dbe446ab85f018fe64ead72bf190a2", "33": "136f2c50571728c795c6e8a08d0df4036353f4d6", "39": "e43b187addfaa16b89d974bee67b59d61ed4017d", "40": "b822a14532f190820039018fc9165af45bd5ec4f", "50": 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1732316378000, "275": 1732318470000, "276": 1732319976000, "277": 1732661124000, "278": 1732663108000, "282": 1734636054000}, "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.AssignSingleDfToNestedSeries.peakmem_run": {"code": "class AssignSingleDfToNestedSeries:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        self.new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we\n            # need to order by field name here for backwards compatibility.\n            dtype=NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()}),\n        )", "name": "benchmarks.AssignSingleDfToNestedSeries.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "6106a8befbead9252b00aef6a759a13bb8654dc82f15c86b5bb6da7262f4571c"}, "benchmarks.AssignSingleDfToNestedSeries.time_run": {"code": "class AssignSingleDfToNestedSeries:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        self.new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we\n            # need to order by field name here for backwards compatibility.\n            dtype=NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()}),\n        )", "min_run_count": 2, "name": "benchmarks.AssignSingleDfToNestedSeries.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "561679277ad2275813ce0c17ad97dbe31f41b12cdb6533009f12ae1f7b057caf", "warmup_time": -1}, "benchmarks.NestedFrameAddNested.peakmem_run": {"code": "class NestedFrameAddNested:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of adding a nested layer\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        # use provided seed, \"None\" acts as if no seed is provided\n        randomstate = np.random.RandomState(seed=1)\n    \n        # Generate base data\n        base_data = {\"a\": randomstate.random(self.n_base), \"b\": randomstate.random(self.n_base) * 2}\n        self.base_nf = NestedFrame(data=base_data)\n    \n        layer_data = {\n            \"t\": randomstate.random(self.layer_size * self.n_base) * 20,\n            \"flux\": randomstate.random(self.layer_size * self.n_base) * 100,\n            \"band\": randomstate.choice([\"r\", \"g\"], size=self.layer_size * self.n_base),\n            \"index\": np.arange(self.layer_size * self.n_base) % self.n_base,\n        }\n        self.layer_nf = NestedFrame(data=layer_data).set_index(\"index\")", "name": "benchmarks.NestedFrameAddNested.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "7222660c05e164eeabe42a9ea1f18045af2e407dd1e1bb788010eaad7294ba85"}, "benchmarks.NestedFrameAddNested.time_run": {"code": "class NestedFrameAddNested:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of adding a nested layer\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        # use provided seed, \"None\" acts as if no seed is provided\n        randomstate = np.random.RandomState(seed=1)\n    \n        # Generate base data\n        base_data = {\"a\": randomstate.random(self.n_base), \"b\": randomstate.random(self.n_base) * 2}\n        self.base_nf = NestedFrame(data=base_data)\n    \n        layer_data = {\n            \"t\": randomstate.random(self.layer_size * self.n_base) * 20,\n            \"flux\": randomstate.random(self.layer_size * self.n_base) * 100,\n            \"band\": randomstate.choice([\"r\", \"g\"], size=self.layer_size * self.n_base),\n            \"index\": np.arange(self.layer_size * self.n_base) % self.n_base,\n        }\n        self.layer_nf = NestedFrame(data=layer_data).set_index(\"index\")", "min_run_count": 2, "name": "benchmarks.NestedFrameAddNested.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "51982ce9982d11255339dc387081a0db496f1856294c479e72d65e2a4f5fb506", "warmup_time": -1}, "benchmarks.NestedFrameQuery.peakmem_run": {"code": "class NestedFrameQuery:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of applying the two queries\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "name": "benchmarks.NestedFrameQuery.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "cdc2254d41009fb5e493b99ed753b9d677a385388103705b16f1b486c03217c2"}, "benchmarks.NestedFrameQuery.time_run": {"code": "class NestedFrameQuery:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of applying the two queries\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "min_run_count": 2, "name": "benchmarks.NestedFrameQuery.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "e9944ed6698261a36de55f71c8228b4fcaa8a50b56657fd8132fc6488238f484", "warmup_time": -1}, "benchmarks.NestedFrameReduce.peakmem_run": {"code": "class NestedFrameReduce:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of applying the reduce function\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "name": "benchmarks.NestedFrameReduce.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "0dc3aac5f09ea8525a745669cff6fca764fabb7cbe35db18f7d46f7377bfea12"}, "benchmarks.NestedFrameReduce.time_run": {"code": "class NestedFrameReduce:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of applying the reduce function\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment\"\"\"\n        self.nf = datasets.generate_data(self.n_base, self.n_nested)", "min_run_count": 2, "name": "benchmarks.NestedFrameReduce.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "5259b45d6e432e2b3eb25050a9581ac63703fbbae1e1fd98cc2fe7b83a9e8b95", "warmup_time": -1}, "benchmarks.ReassignHalfOfNestedSeries.peakmem_run": {"code": "class ReassignHalfOfNestedSeries:\n    def peakmem_run(self):\n        \"\"\"Benchmark the memory usage of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we need to\n        # order by field name here for backwards compatibility.\n        dtype = NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()})\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            dtype=dtype,\n        )\n    \n        new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        self.new_series = pd.Series([new_df] * (self.n_objects // 2), dtype=dtype)", "name": "benchmarks.ReassignHalfOfNestedSeries.peakmem_run", "param_names": [], "params": [], "type": "peakmemory", "unit": "bytes", "version": "567fe640051453cd164d11ee74a8aff8c06e2b89a239133ddcc020d9fe426a55"}, "benchmarks.ReassignHalfOfNestedSeries.time_run": {"code": "class ReassignHalfOfNestedSeries:\n    def time_run(self):\n        \"\"\"Benchmark the runtime of changing a single nested series element.\"\"\"\n        self.run()\n\n    def setup(self):\n        \"\"\"Set up the benchmark environment.\"\"\"\n        # When we had NestedExtentionArray inheriting ArrowExtentionArray, it sorted the fields, so we need to\n        # order by field name here for backwards compatibility.\n        dtype = NestedDtype.from_fields({\"band\": pa.string(), \"flux\": pa.float64(), \"time\": pa.float64()})\n        original_df = pd.DataFrame(\n            {\n                \"time\": np.linspace(0, 1, self.n_sources),\n                \"flux\": np.arange(self.n_sources, dtype=np.float64),\n                \"band\": np.full_like(\"sdssu\", self.n_sources),\n            }\n        )\n        self.series = pd.Series(\n            [original_df] * self.n_objects,\n            dtype=dtype,\n        )\n    \n        new_df = pd.DataFrame(\n            {\n                \"time\": np.arange(self.n_sources, dtype=np.float64),\n                \"flux\": np.linspace(0, 1, self.n_sources),\n                \"band\": np.full_like(\"lsstg\", self.n_sources),\n            }\n        )\n        self.new_series = pd.Series([new_df] * (self.n_objects // 2), dtype=dtype)", "min_run_count": 2, "name": "benchmarks.ReassignHalfOfNestedSeries.time_run", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "type": "time", "unit": "seconds", "version": "9d18ab926df92e4580e7dcbb3760d4206342c672b1e879d7e5a0a3542904b9e4", "warmup_time": -1}}, "machines": {"gh-runner": {"machine": "gh-runner", "version": 1}}, "tags": {"v0.1": 142, "v0.1.1": 165, "v0.1.2": 188, "v0.1.3": 198, "v0.2.0": 218, "v0.2.1": 221, "v0.2.2": 223, "v0.3.0": 267, "v0.3.1": 269, "v0.3.2": 270}, "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 096076b..f27e9bc 100644
--- a/info.json
+++ b/info.json
@@ -1,4 +1,4 @@
 {
     "asv-version": "0.6.4",
-    "timestamp": 1732737464691
+    "timestamp": 1734636128460
 }
\ No newline at end of file
diff --git a/regressions.json b/regressions.json
index be3ddc2..f2ab322 100644
--- a/regressions.json
+++ b/regressions.json
@@ -1 +1 @@
-{"regressions": [["benchmarks.AssignSingleDfToNestedSeries.time_run", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.time_run.json", {}, null, 0.022084027000005335, 0.006260144666669021, [[null, 78, 0.006260144666669021, 0.022084027000005335]]], ["benchmarks.AssignSingleDfToNestedSeries.peakmem_run", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json", {}, null, 265840640.0, 215633920.0, [[null, 78, 215633920.0, 257310720.0]]], ["benchmarks.NestedFrameReduce.time_run", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.time_run.json", {}, null, 0.0015990028571439196, 0.0010955252499996958, [[null, 228, 0.0010955252499996958, 0.0015990028571439196]]]]}
\ No newline at end of file
+{"regressions": [["benchmarks.NestedFrameReduce.time_run", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.NestedFrameReduce.time_run.json", {}, null, 0.0015990028571439196, 0.0010955252499996958, [[null, 228, 0.0010955252499996958, 0.0015990028571439196]]], ["benchmarks.AssignSingleDfToNestedSeries.time_run", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.time_run.json", {}, null, 0.02217299199998024, 0.006260144666669021, [[null, 78, 0.006260144666669021, 0.02217299199998024]]], ["benchmarks.AssignSingleDfToNestedSeries.peakmem_run", "graphs/Cython/branch-HEAD/build/machine-gh-runner/packaging/python-3.10/benchmarks.AssignSingleDfToNestedSeries.peakmem_run.json", {}, null, 265838592.0, 215633920.0, [[null, 78, 215633920.0, 257310720.0]]]]}
\ No newline at end of file
diff --git a/regressions.xml b/regressions.xml
index 150924f..0dc4682 100644
--- a/regressions.xml
+++ b/regressions.xml
@@ -2,9 +2,9 @@
 <feed xmlns="http://www.w3.org/2005/Atom"><id>tag:nested-pandas.asv,1970-01-01:/42329e0ff67915ad3ca1780e822a054176e6cab641b28d1ed890f8d28222bd1c</id><author><name>Airspeed Velocity</name></author><title xml:lang="en">nested-pandas performance regressions</title><updated>2024-10-09T18:04:48Z</updated><entry><id>tag:nested-pandas.asv,2024-09-30:/c5a3f909748611ac97386ef066f91f363d921c4701e9cbf41737329d2a3ad029</id><title xml:lang="en">45.96% benchmarks.NestedFrameReduce.time_run</title><updated>2024-10-09T18:04:48Z</updated><link href="index.html#benchmarks.NestedFrameReduce.time_run?commits=252765a0ab7a4cd220bf626a93645c5207d336a4" /><content xml:lang="en" type="html">&lt;a href="index.html#benchmarks.NestedFrameReduce.time_run?commits=252765a0ab7a4cd220bf626a93645c5207d336a4"&gt;45.96% regression&lt;/a&gt; on 2024-09-30 17:55:16 in commit &lt;a href="https://github.com/lincc-frameworks/nested-pandas/commit/252765a0ab7a4cd220bf626a93645c5207d336a4"&gt;252765a0&lt;/a&gt;.&lt;br&gt;
                 New value: 1.60ms, old value: 1.10ms.&lt;br&gt;
                 Latest value: 1.60ms (45.96% worse
-                than best value 1.10ms).</content></entry><entry><id>tag:nested-pandas.asv,2024-05-03:/eb4a3566c42a993e1b46a453dc2359aa50f94f2dd38c656bc38fee9802720670</id><title xml:lang="en">252.77% benchmarks.AssignSingleDfToNestedSeries.time_run</title><updated>2024-05-07T15:14:36Z</updated><link href="index.html#benchmarks.AssignSingleDfToNestedSeries.time_run?commits=109c16c82efcb3b33fc770e552d6e0d1e021c61f" /><content xml:lang="en" type="html">&lt;a href="index.html#benchmarks.AssignSingleDfToNestedSeries.time_run?commits=109c16c82efcb3b33fc770e552d6e0d1e021c61f"&gt;252.77% regression&lt;/a&gt; on 2024-05-03 20:18:09 in commit &lt;a href="https://github.com/lincc-frameworks/nested-pandas/commit/109c16c82efcb3b33fc770e552d6e0d1e021c61f"&gt;109c16c8&lt;/a&gt;.&lt;br&gt;
-                New value: 22.1ms, old value: 6.26ms.&lt;br&gt;
-                Latest value: 22.1ms (252.77% worse
+                than best value 1.10ms).</content></entry><entry><id>tag:nested-pandas.asv,2024-05-03:/eb4a3566c42a993e1b46a453dc2359aa50f94f2dd38c656bc38fee9802720670</id><title xml:lang="en">254.19% benchmarks.AssignSingleDfToNestedSeries.time_run</title><updated>2024-05-07T15:14:36Z</updated><link href="index.html#benchmarks.AssignSingleDfToNestedSeries.time_run?commits=109c16c82efcb3b33fc770e552d6e0d1e021c61f" /><content xml:lang="en" type="html">&lt;a href="index.html#benchmarks.AssignSingleDfToNestedSeries.time_run?commits=109c16c82efcb3b33fc770e552d6e0d1e021c61f"&gt;254.19% regression&lt;/a&gt; on 2024-05-03 20:18:09 in commit &lt;a href="https://github.com/lincc-frameworks/nested-pandas/commit/109c16c82efcb3b33fc770e552d6e0d1e021c61f"&gt;109c16c8&lt;/a&gt;.&lt;br&gt;
+                New value: 22.2ms, old value: 6.26ms.&lt;br&gt;
+                Latest value: 22.2ms (254.19% worse
                 than best value 6.26ms).</content></entry><entry><id>tag:nested-pandas.asv,2024-05-03:/f78c071dfb5f7e712acfb54ad13cd2af02c44ebbe5cd17e783b61ac64b14a385</id><title xml:lang="en">19.33% benchmarks.AssignSingleDfToNestedSeries.peakmem_run</title><updated>2024-05-07T15:14:35Z</updated><link href="index.html#benchmarks.AssignSingleDfToNestedSeries.peakmem_run?commits=109c16c82efcb3b33fc770e552d6e0d1e021c61f" /><content xml:lang="en" type="html">&lt;a href="index.html#benchmarks.AssignSingleDfToNestedSeries.peakmem_run?commits=109c16c82efcb3b33fc770e552d6e0d1e021c61f"&gt;19.33% regression&lt;/a&gt; on 2024-05-03 20:18:09 in commit &lt;a href="https://github.com/lincc-frameworks/nested-pandas/commit/109c16c82efcb3b33fc770e552d6e0d1e021c61f"&gt;109c16c8&lt;/a&gt;.&lt;br&gt;
                 New value: 257M, old value: 216M.&lt;br&gt;
                 Latest value: 266M (23.28% worse