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Build(deps-dev): Update numpy requirement from >=1.26.4 to >=2.4.6 #63

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Build(deps-dev): Update numpy requirement from >=1.26.4 to >=2.4.6 #63

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12 changes: 6 additions & 6 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@ managed = false
test = [
"pytest>=9.0.3",
"pytest-cov",
"numpy>=1.26.4",
"numpy>=2.4.6",
"requests>=2.33.0", # HTTP API / docs-example tests
# Real clients for the bundled wire protocols. Test-only: none of these
# reaches an end user's install, and without them three shipped protocols
Expand Down Expand Up @@ -84,20 +84,20 @@ dev = [
"mypy",
"pytest>=9.0.3",
"pytest-cov",
"numpy>=1.26.4",
"numpy>=2.4.6",
"requests>=2.33.0", # HTTP API / docs-example tests
"bandit>=1.9.1",
]
vector = [
"numpy>=1.26.4",
"numpy>=2.4.6",
]
# Optional: ResultSet.to_arrow(). The columnar bridge already emits packed
# columns with a null bitmap, so this adds no Java and no jars to the wheel;
# pyarrow is only needed to wrap those buffers. Without it to_arrow() returns
# None and callers fall back to to_columns().
arrow = [
"pyarrow>=23.0.1",
"numpy>=1.26.4",
"numpy>=2.4.6",
]
# Optional: ResultSet.to_dataframe(). Shipped and documented long before this
# extra existed, so the only way to discover the dependency was to call the
Expand All @@ -111,7 +111,7 @@ arrow = [
# stays as it is and is documented rather than quietly aligned.
pandas = [
"pandas>=2.2.0",
"numpy>=1.26.4",
"numpy>=2.4.6",
]
# Optional: ResultSet.to_polars() and insert_dataframe() with a Polars frame. Both go
# through Arrow, so pyarrow comes with it. insert_dataframe() with a pandas frame needs
Expand All @@ -120,7 +120,7 @@ pandas = [
polars = [
"polars>=1.0",
"pyarrow>=23.0.1",
"numpy>=1.26.4",
"numpy>=2.4.6",
]
examples = [
"py7zr>=1.1.3", # Required for Stack Exchange data downloads
Expand Down
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