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chore(ci): bump astral-sh/setup-uv from 10.1.0 to 10.2.0 (#1373)
Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 10.1.0 to 10.2.0. - [Release notes](https://github.com/astral-sh/setup-uv/releases) - [Commits](astral-sh/setup-uv@bec219d...c18668a) --- updated-dependencies: - dependency-name: astral-sh/setup-uv dependency-version: 10.2.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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‎.github/workflows/bench.yml‎

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cache-dependency-path: bench/tscg/package-lock.json
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- name: Set up uv (uvx-launched MCP reference servers)
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uses: astral-sh/setup-uv@bec219d24cd3e171d82865faccec33120bb574f4 # v10.1.0
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uses: astral-sh/setup-uv@c18668ad3cf93ea998bef934396af7bb5c839dc7 # v10.2.0
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# tiktoken (bench/tokens.go) fetches its BPE vocabulary from a remote host
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# the first time an encoding is loaded, unless TIKTOKEN_CACHE_DIR points at
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cache: true
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- name: Set up uv (ToolRet parquet fetch)
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uses: astral-sh/setup-uv@bec219d24cd3e171d82865faccec33120bb574f4 # v10.1.0
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uses: astral-sh/setup-uv@c18668ad3cf93ea998bef934396af7bb5c839dc7 # v10.2.0
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# Same tiktoken vocabulary cache as the dashboard job above (this job also
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# runs the bench binary, so it needs the vocabulary on disk); see there for

‎.github/workflows/eval.yml‎

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path: mcp-eval
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- name: Set up uv + Python
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uses: astral-sh/setup-uv@bec219d24cd3e171d82865faccec33120bb574f4 # v10.1.0
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uses: astral-sh/setup-uv@c18668ad3cf93ea998bef934396af7bb5c839dc7 # v10.2.0
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with:
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python-version: ${{ env.PYTHON_VERSION }}
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path: mcp-eval
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- name: Set up uv + Python (uvx-launched servers + mcp-eval)
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uses: astral-sh/setup-uv@bec219d24cd3e171d82865faccec33120bb574f4 # v10.1.0
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uses: astral-sh/setup-uv@c18668ad3cf93ea998bef934396af7bb5c839dc7 # v10.2.0
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with:
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python-version: ${{ env.PYTHON_VERSION }}
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