mirror of
https://github.com/asg017/sqlite-vec.git
synced 2026-04-25 00:36:56 +02:00
update tests, syrupy, use uv
This commit is contained in:
Alex Garcia
parent
26fbdf22eb
commit
76b8247a41
11 changed files with 521 additions and 52 deletions
96
.github/workflows/test.yaml
vendored
96
.github/workflows/test.yaml
vendored
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@ -11,16 +11,66 @@ jobs:
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runs-on: ubuntu-20.04
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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- uses: astral-sh/setup-uv@v3
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with:
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python-version: "3.12"
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enable-cache: true
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- run: ./scripts/vendor.sh
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- run: make loadable static
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- run: pip install pytest numpy; make test-loadable
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- run: uv sync --directory tests
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- run: make test-loadable python=./venv/bin/python
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- uses: actions/upload-artifact@v4
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with:
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name: sqlite-vec-linux-x86_64-extension
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path: dist/*
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build-macos-x86_64-extension:
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runs-on: macos-12
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steps:
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- uses: actions/checkout@v4
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- uses: astral-sh/setup-uv@v3
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with:
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enable-cache: true
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- run: ./scripts/vendor.sh
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- run: make loadable static
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- run: uv sync --directory tests
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- run: make test-loadable python=./venv/bin/python
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- uses: actions/upload-artifact@v4
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with:
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name: sqlite-vec-macos-x86_64-extension
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path: dist/*
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build-macos-aarch64-extension:
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runs-on: macos-14
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steps:
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- uses: actions/checkout@v4
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- uses: astral-sh/setup-uv@v3
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with:
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enable-cache: true
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- run: ./scripts/vendor.sh
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- run: make loadable static
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- run: uv sync --directory tests
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- run: make test-loadable python=./venv/bin/python
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- uses: actions/upload-artifact@v4
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with:
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name: sqlite-vec-macos-aarch64-extension
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path: dist/*
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build-windows-x86_64-extension:
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runs-on: windows-2019
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steps:
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- uses: actions/checkout@v4
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- uses: ilammy/msvc-dev-cmd@v1
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- uses: astral-sh/setup-uv@v3
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with:
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enable-cache: true
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- run: ./scripts/vendor.sh
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shell: bash
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- run: make sqlite-vec.h
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- run: mkdir dist
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- run: cl.exe /fPIC -shared /W4 /Ivendor/ /O2 /LD sqlite-vec.c -o dist/vec0.dll
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- run: uv sync --directory tests
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- run: make test-loadable python=./venv/bin/python
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- uses: actions/upload-artifact@v4
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with:
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name: sqlite-vec-windows-x86_64-extension
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path: dist/*
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build-android-extensions:
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runs-on: ubuntu-latest
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strategy:
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@ -99,46 +149,6 @@ jobs:
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with:
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name: sqlite-vec-${{ matrix.platforms.name }}-extension
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path: dist/*
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build-macos-x86_64-extension:
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runs-on: macos-12
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steps:
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- uses: actions/checkout@v4
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- run: ./scripts/vendor.sh
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- run: make loadable static
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- run: /usr/local/opt/python@3/libexec/bin/python -m pip install --break-system-packages pytest numpy; make test-loadable python=/usr/local/opt/python@3/libexec/bin/python
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- uses: actions/upload-artifact@v4
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with:
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name: sqlite-vec-macos-x86_64-extension
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path: dist/*
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build-macos-aarch64-extension:
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runs-on: macos-14
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steps:
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- uses: actions/checkout@v4
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- run: ./scripts/vendor.sh
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- run: make loadable static
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- run: /opt/homebrew/opt/python3/libexec/bin/python -m pip install pytest numpy --break-system-packages; make test-loadable python=/opt/homebrew/opt/python3/libexec/bin/python
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- uses: actions/upload-artifact@v4
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with:
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name: sqlite-vec-macos-aarch64-extension
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path: dist/*
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build-windows-x86_64-extension:
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runs-on: windows-2019
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steps:
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- uses: actions/checkout@v4
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- uses: ilammy/msvc-dev-cmd@v1
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- uses: actions/setup-python@v5
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with:
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python-version: "3.12"
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- run: ./scripts/vendor.sh
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shell: bash
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- run: make sqlite-vec.h
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- run: mkdir dist
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- run: cl.exe /fPIC -shared /W4 /Ivendor/ /O2 /LD sqlite-vec.c -o dist/vec0.dll
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- run: pip install pytest numpy; make test-loadable
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- uses: actions/upload-artifact@v4
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with:
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name: sqlite-vec-windows-x86_64-extension
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path: dist/*
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build-wasm32-emscripten:
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runs-on: ubuntu-latest
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steps:
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7
Makefile
7
Makefile
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@ -185,13 +185,16 @@ publish-release:
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# -k test_vec0_update
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test-loadable: loadable
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$(PYTHON) -m pytest -vv -s -x tests/test-loadable.py
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$(PYTHON) -m pytest -vv -s -x tests/test-*.py
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test-loadable-snapshot-update: loadable
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$(PYTHON) -m pytest -vv tests/test-loadable.py --snapshot-update
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test-loadable-watch:
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watchexec -w sqlite-vec.c -w tests/test-loadable.py -w Makefile --clear -- make test-loadable
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watchexec --exts c,py,Makefile --clear -- make test-loadable
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test-unit:
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$(CC) tests/test-unit.c sqlite-vec.c -I./ -Ivendor -o $(prefix)/test-unit && $(prefix)/test-unit
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site-dev:
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npm --prefix site run dev
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6
TODO
6
TODO
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@ -1,7 +1,5 @@
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# partition
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- UPDATE on partition key values
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- [ ] UPDATE on partition key values
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- remove previous row from chunk, insert into new one?
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- enforce column types on insert?
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- allow null values?
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- properly sqlite3_vtab_nochange / sqlite3_value_nochange handling
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- [ ] properly sqlite3_vtab_nochange / sqlite3_value_nochange handling
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17
sqlite-vec.c
17
sqlite-vec.c
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@ -5477,7 +5477,6 @@ int vec0Filter_knn(vec0_cursor *pCur, vec0_vtab *p, int idxNum,
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assert(k_idx >= 0);
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// make sure the query vector matches the vector column (type dimensions etc.)
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// TODO not argv[0], source idx from idxStr
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rc = vector_from_value(argv[query_idx], &queryVector, &dimensions, &elementType,
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&queryVectorCleanup, &pzError);
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@ -5510,7 +5509,6 @@ int vec0Filter_knn(vec0_cursor *pCur, vec0_vtab *p, int idxNum,
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goto cleanup;
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}
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// TODO not argv[1], source idx from idxStr
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i64 k = sqlite3_value_int64(argv[k_idx]);
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if (k < 0) {
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vtab_set_error(
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@ -5540,7 +5538,6 @@ int vec0Filter_knn(vec0_cursor *pCur, vec0_vtab *p, int idxNum,
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// Array of all the rowids that appear in any `rowid in (...)` constraint.
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// NULL if none were provided, which means a "full" scan.
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#if COMPILER_SUPPORTS_VTAB_IN
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// TODO fix
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if (rowid_in_idx >= 0) {
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sqlite3_value *item;
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int rc;
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@ -6420,6 +6417,20 @@ int vec0Update_Insert(sqlite3_vtab *pVTab, int argc, sqlite3_value **argv,
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}
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int partition_key_idx = p->user_column_idxs[i];
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partitionKeyValues[partition_key_idx] = argv[2+VEC0_COLUMN_USERN_START + i];
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int new_value_type = sqlite3_value_type(partitionKeyValues[partition_key_idx]);
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if(new_value_type != SQLITE_NULL && new_value_type != p->paritition_columns[partition_key_idx].type) {
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// IMP: V11454_28292
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vtab_set_error(
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pVTab,
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"Parition key type mismatch: The partition key column %.*s has type %s, but %s was provided.",
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p->paritition_columns[partition_key_idx].name_length,
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p->paritition_columns[partition_key_idx].name,
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type_name(p->paritition_columns[partition_key_idx].type),
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type_name(new_value_type)
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);
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goto cleanup;
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}
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}
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// read all the inserted vectors into vectorDatas, validate their lengths.
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1
tests/.python-version
Normal file
1
tests/.python-version
Normal file
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@ -0,0 +1 @@
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3.12
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217
tests/__snapshots__/test-partition-keys.ambr
Normal file
217
tests/__snapshots__/test-partition-keys.ambr
Normal file
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@ -0,0 +1,217 @@
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# serializer version: 1
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# name: test_constructor_limit[max 4 partition keys]
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dict({
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'error': 'OperationalError',
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'message': 'vec0 constructor error: More than 4 partition key columns were provided',
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})
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# ---
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# name: test_normal[1 row]
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dict({
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'v_chunks': OrderedDict({
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'sql': 'select * from v_chunks',
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'rows': list([
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OrderedDict({
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'chunk_id': 1,
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'size': 8,
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'sequence_id': None,
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'partition00': 100,
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'validity': b'\x01',
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'rowids': b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
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}),
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]),
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}),
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'v_rowids': OrderedDict({
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'sql': 'select * from v_rowids',
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'rows': list([
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OrderedDict({
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'rowid': 1,
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'id': None,
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'chunk_id': 1,
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'chunk_offset': 0,
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}),
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]),
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}),
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'v_vector_chunks00': OrderedDict({
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'sql': 'select * from v_vector_chunks00',
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'rows': list([
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OrderedDict({
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'rowid': 1,
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'vectors': b'\x11"3D\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
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}),
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]),
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}),
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})
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# ---
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# name: test_normal[2 rows, same parition]
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dict({
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'v_chunks': OrderedDict({
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'sql': 'select * from v_chunks',
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'rows': list([
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OrderedDict({
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'chunk_id': 1,
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'size': 8,
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'sequence_id': None,
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'partition00': 100,
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'validity': b'\x03',
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'rowids': b'\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
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}),
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]),
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}),
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'v_rowids': OrderedDict({
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'sql': 'select * from v_rowids',
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'rows': list([
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OrderedDict({
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'rowid': 1,
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'id': None,
|
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'chunk_id': 1,
|
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'chunk_offset': 0,
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}),
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OrderedDict({
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'rowid': 2,
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'id': None,
|
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'chunk_id': 1,
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'chunk_offset': 1,
|
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}),
|
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]),
|
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}),
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'v_vector_chunks00': OrderedDict({
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'sql': 'select * from v_vector_chunks00',
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'rows': list([
|
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OrderedDict({
|
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'rowid': 1,
|
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'vectors': b'\x11"3DDUfw\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
|
||||
}),
|
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]),
|
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}),
|
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})
|
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# ---
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# name: test_normal[3 rows, 2 partitions]
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dict({
|
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'v_chunks': OrderedDict({
|
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'sql': 'select * from v_chunks',
|
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'rows': list([
|
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OrderedDict({
|
||||
'chunk_id': 1,
|
||||
'size': 8,
|
||||
'sequence_id': None,
|
||||
'partition00': 100,
|
||||
'validity': b'\x03',
|
||||
'rowids': b'\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
|
||||
}),
|
||||
OrderedDict({
|
||||
'chunk_id': 2,
|
||||
'size': 8,
|
||||
'sequence_id': None,
|
||||
'partition00': 200,
|
||||
'validity': b'\x01',
|
||||
'rowids': b'\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
|
||||
}),
|
||||
]),
|
||||
}),
|
||||
'v_rowids': OrderedDict({
|
||||
'sql': 'select * from v_rowids',
|
||||
'rows': list([
|
||||
OrderedDict({
|
||||
'rowid': 1,
|
||||
'id': None,
|
||||
'chunk_id': 1,
|
||||
'chunk_offset': 0,
|
||||
}),
|
||||
OrderedDict({
|
||||
'rowid': 2,
|
||||
'id': None,
|
||||
'chunk_id': 1,
|
||||
'chunk_offset': 1,
|
||||
}),
|
||||
OrderedDict({
|
||||
'rowid': 3,
|
||||
'id': None,
|
||||
'chunk_id': 2,
|
||||
'chunk_offset': 0,
|
||||
}),
|
||||
]),
|
||||
}),
|
||||
'v_vector_chunks00': OrderedDict({
|
||||
'sql': 'select * from v_vector_chunks00',
|
||||
'rows': list([
|
||||
OrderedDict({
|
||||
'rowid': 1,
|
||||
'vectors': b'\x11"3DDUfw\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
|
||||
}),
|
||||
OrderedDict({
|
||||
'rowid': 2,
|
||||
'vectors': b'\x88\x99\xaa\xbb\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
|
||||
}),
|
||||
]),
|
||||
}),
|
||||
})
|
||||
# ---
|
||||
# name: test_types[1. raises type error]
|
||||
dict({
|
||||
'error': 'DatabaseError',
|
||||
'message': 'Parition key type mismatch: The partition key column p1 has type INTEGER, but TEXT was provided.',
|
||||
})
|
||||
# ---
|
||||
# name: test_types[2. empty DB]
|
||||
dict({
|
||||
'v_chunks': OrderedDict({
|
||||
'sql': 'select * from v_chunks',
|
||||
'rows': list([
|
||||
]),
|
||||
}),
|
||||
'v_rowids': OrderedDict({
|
||||
'sql': 'select * from v_rowids',
|
||||
'rows': list([
|
||||
]),
|
||||
}),
|
||||
'v_vector_chunks00': OrderedDict({
|
||||
'sql': 'select * from v_vector_chunks00',
|
||||
'rows': list([
|
||||
]),
|
||||
}),
|
||||
})
|
||||
# ---
|
||||
# name: test_types[3. allow nulls]
|
||||
OrderedDict({
|
||||
'sql': 'insert into v(p1, a) values(?, ?)',
|
||||
'rows': list([
|
||||
]),
|
||||
})
|
||||
# ---
|
||||
# name: test_types[4. show NULL partition key]
|
||||
dict({
|
||||
'v_chunks': OrderedDict({
|
||||
'sql': 'select * from v_chunks',
|
||||
'rows': list([
|
||||
OrderedDict({
|
||||
'chunk_id': 1,
|
||||
'size': 8,
|
||||
'sequence_id': None,
|
||||
'partition00': None,
|
||||
'validity': b'\x01',
|
||||
'rowids': b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
|
||||
}),
|
||||
]),
|
||||
}),
|
||||
'v_rowids': OrderedDict({
|
||||
'sql': 'select * from v_rowids',
|
||||
'rows': list([
|
||||
OrderedDict({
|
||||
'rowid': 1,
|
||||
'id': None,
|
||||
'chunk_id': 1,
|
||||
'chunk_offset': 0,
|
||||
}),
|
||||
]),
|
||||
}),
|
||||
'v_vector_chunks00': OrderedDict({
|
||||
'sql': 'select * from v_vector_chunks00',
|
||||
'rows': list([
|
||||
OrderedDict({
|
||||
'rowid': 1,
|
||||
'vectors': b'\x11"3D\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00',
|
||||
}),
|
||||
]),
|
||||
}),
|
||||
})
|
||||
# ---
|
||||
12
tests/conftest.py
Normal file
12
tests/conftest.py
Normal file
|
|
@ -0,0 +1,12 @@
|
|||
import pytest
|
||||
import sqlite3
|
||||
|
||||
|
||||
@pytest.fixture()
|
||||
def db():
|
||||
db = sqlite3.connect(":memory:")
|
||||
db.row_factory = sqlite3.Row
|
||||
db.enable_load_extension(True)
|
||||
db.load_extension("dist/vec0")
|
||||
db.enable_load_extension(False)
|
||||
return db
|
||||
94
tests/test-partition-keys.py
Normal file
94
tests/test-partition-keys.py
Normal file
|
|
@ -0,0 +1,94 @@
|
|||
import sqlite3
|
||||
from collections import OrderedDict
|
||||
|
||||
|
||||
def test_constructor_limit(db, snapshot):
|
||||
assert exec(
|
||||
db,
|
||||
"""
|
||||
create virtual table v using vec0(
|
||||
p1 int partition key,
|
||||
p2 int partition key,
|
||||
p3 int partition key,
|
||||
p4 int partition key,
|
||||
p5 int partition key,
|
||||
v float[1]
|
||||
)
|
||||
""",
|
||||
) == snapshot(name="max 4 partition keys")
|
||||
|
||||
|
||||
def test_normal(db, snapshot):
|
||||
db.execute(
|
||||
"create virtual table v using vec0(p1 int partition key, a float[1], chunk_size=8)"
|
||||
)
|
||||
|
||||
db.execute("insert into v(rowid, p1, a) values (1, 100, X'11223344')")
|
||||
assert vec0_shadow_table_contents(db, "v") == snapshot(name="1 row")
|
||||
db.execute("insert into v(rowid, p1, a) values (2, 100, X'44556677')")
|
||||
assert vec0_shadow_table_contents(db, "v") == snapshot(name="2 rows, same parition")
|
||||
db.execute("insert into v(rowid, p1, a) values (3, 200, X'8899aabb')")
|
||||
assert vec0_shadow_table_contents(db, "v") == snapshot(name="3 rows, 2 partitions")
|
||||
|
||||
|
||||
def test_types(db, snapshot):
|
||||
db.execute(
|
||||
"create virtual table v using vec0(p1 int partition key, a float[1], chunk_size=8)"
|
||||
)
|
||||
|
||||
# EVIDENCE-OF: V11454_28292
|
||||
assert exec(
|
||||
db, "insert into v(p1, a) values(?, ?)", ["not int", b"\x11\x22\x33\x44"]
|
||||
) == snapshot(name="1. raises type error")
|
||||
|
||||
assert vec0_shadow_table_contents(db, "v") == snapshot(name="2. empty DB")
|
||||
|
||||
# but allow NULLs
|
||||
assert exec(
|
||||
db, "insert into v(p1, a) values(?, ?)", [None, b"\x11\x22\x33\x44"]
|
||||
) == snapshot(name="3. allow nulls")
|
||||
|
||||
assert vec0_shadow_table_contents(db, "v") == snapshot(
|
||||
name="4. show NULL partition key"
|
||||
)
|
||||
|
||||
|
||||
class Row:
|
||||
def __init__(self):
|
||||
pass
|
||||
|
||||
def __repr__(self) -> str:
|
||||
return repr()
|
||||
|
||||
|
||||
def exec(db, sql, parameters=[]):
|
||||
try:
|
||||
rows = db.execute(sql, parameters).fetchall()
|
||||
except (sqlite3.OperationalError, sqlite3.DatabaseError) as e:
|
||||
return {
|
||||
"error": e.__class__.__name__,
|
||||
"message": str(e),
|
||||
}
|
||||
a = []
|
||||
for row in rows:
|
||||
o = OrderedDict()
|
||||
for k in row.keys():
|
||||
o[k] = row[k]
|
||||
a.append(o)
|
||||
result = OrderedDict()
|
||||
result["sql"] = sql
|
||||
result["rows"] = a
|
||||
return result
|
||||
|
||||
|
||||
def vec0_shadow_table_contents(db, v):
|
||||
shadow_tables = [
|
||||
row[0]
|
||||
for row in db.execute(
|
||||
"select name from sqlite_master where name like ? order by 1", [f"{v}_%"]
|
||||
).fetchall()
|
||||
]
|
||||
o = {}
|
||||
for shadow_table in shadow_tables:
|
||||
o[shadow_table] = exec(db, f"select * from {shadow_table}")
|
||||
return o
|
||||
|
|
@ -6,6 +6,7 @@
|
|||
#define countof(x) (sizeof(x) / sizeof((x)[0]))
|
||||
|
||||
void test_vec0_parse_partition_key_definition() {
|
||||
printf("Starting %s...\n", __func__);
|
||||
typedef struct {
|
||||
char * test;
|
||||
int expected_rc;
|
||||
|
|
@ -34,6 +35,7 @@ void test_vec0_parse_partition_key_definition() {
|
|||
&out_column_name_length,
|
||||
&out_column_type
|
||||
);
|
||||
printf("2\n");
|
||||
assert(rc == suite[i].expected_rc);
|
||||
|
||||
if(rc == SQLITE_OK) {
|
||||
|
|
@ -47,5 +49,6 @@ void test_vec0_parse_partition_key_definition() {
|
|||
}
|
||||
|
||||
int main() {
|
||||
printf("Starting unit tests...\n");
|
||||
test_vec0_parse_partition_key_definition();
|
||||
}
|
||||
|
|
|
|||
120
tests/uv.lock
generated
Normal file
120
tests/uv.lock
generated
Normal file
|
|
@ -0,0 +1,120 @@
|
|||
version = 1
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.6"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "iniconfig"
|
||||
version = "2.0.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d7/4b/cbd8e699e64a6f16ca3a8220661b5f83792b3017d0f79807cb8708d33913/iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3", size = 4646 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ef/a6/62565a6e1cf69e10f5727360368e451d4b7f58beeac6173dc9db836a5b46/iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374", size = 5892 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.1.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/25/ca/1166b75c21abd1da445b97bf1fa2f14f423c6cfb4fc7c4ef31dccf9f6a94/numpy-2.1.3.tar.gz", hash = "sha256:aa08e04e08aaf974d4458def539dece0d28146d866a39da5639596f4921fd761", size = 20166090 }
|
||||
wheels = [
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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Loading…
Add table
Add a link
Reference in a new issue