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165 changes: 165 additions & 0 deletions .github/workflows/copilotl.yml
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--
name: Setup Node.js environment
uses: actions/[email protected]
# Config for the Gemini Pull Request Review Bot.
# https://github.com/marketplace/gemini-code-assist
have_fun: false
code_review:
disable: false
comment_severity_threshold: 'HIGH'
max_review_comments: -1
pull_request_opened:
help: false
summary: true
code_review: true
ignore_patterns: []
name: CI
on:
push:
branches-ignore:
- 'generated'
- 'codegen/**'
- 'integrated/**'
- 'stl-preview-head/**'
- 'stl-preview-base/**'
pull_request:
branches-ignore:
- 'stl-preview-head/**'
- 'stl-preview-base/**'

jobs:
lint:
timeout-minutes: 10
name: lint
runs-on: ${{ github.repository == 'stainless-sdks/openai-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
if: github.event_name == 'push' || github.event.pull_request.head.repo.fork
steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'

- name: Install dependencies
run: rye sync --all-features

- name: Run lints
run: ./scripts/lint

build:
if: github.repository == 'stainless-sdks/openai-python' && (github.event_name == 'push' || github.event.pull_request.head.repo.fork)
timeout-minutes: 10
name: build
permissions:
contents: read
id-token: write
runs-on: depot-ubuntu-24.04
steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'

- name: Install dependencies
run: rye sync --all-features

- name: Run build
run: rye build

- name: Get GitHub OIDC Token
id: github-oidc
uses: actions/github-script@v6
with:
script: core.setOutput('github_token', await core.getIDToken());

- name: Upload tarball
env:
URL: https://pkg.stainless.com/s
AUTH: ${{ steps.github-oidc.outputs.github_token }}
SHA: ${{ github.sha }}
run: ./scripts/utils/upload-artifact.sh

test:
timeout-minutes: 10
name: test
runs-on: ${{ github.repository == 'stainless-sdks/openai-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
if: github.event_name == 'push' || github.event.pull_request.head.repo.fork
steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'

- name: Bootstrap
run: ./scripts/bootstrap

- name: Run tests
run: ./scripts/test

examples:
timeout-minutes: 10
name: examples
runs-on: ${{ github.repository == 'stainless-sdks/openai-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
if: github.repository == 'openai/openai-python' && (github.event_name == 'push' || github.event.pull_request.head.repo.fork)

steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'
- name: Install dependencies
run: |
rye sync --all-features
- env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: |
rye run python examples/demo.py
- env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: |
rye run python examples/async_demo.py
You’re working with:

\[
\bar{x}_j = \frac{1}{|C_j|} \sum_{v_i \in C_j} x_i
\]

This gives the **mean** of values \( x_i \) in cluster \( C_j \). Now you’re asking:

> What is \( \bar{x}_j \div 18.33 \)?

---

### 🧮 Interpretation

Let’s assume:

- You already computed \( \bar{x}_j = 18.33 \)
- Now you're dividing that result by 18.33

So:

\[
\frac{\bar{x}_j}{18.33} = \frac{18.33}{18.33} = 1
\]

✅ **Final result: 1
23 changes: 23 additions & 0 deletions .github/workflows/docker-image.yml
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configured_endpoints: 111
openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-a473967d1766dc155994d932fbc4a5bcbd1c140a37c20d0a4065e1bf0640536d.yml
openapi_spec_hash: 67cdc62b0d6c8b1de29b7dc54b265749
config_hash: 7b53f96f897ca1b3407a5341a6f820db

name: Docker Image CI

on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]

jobs:

build:

runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v4
- name: Build the Docker image
run: docker build . --file Dockerfile --tag my-image-name:$(date +%s)
179 changes: 179 additions & 0 deletions .github/workflows/main.yml
Original file line number Diff line number Diff line change
@@ -0,0 +1,179 @@
Let’s break this down precisely and compute what you're asking.

---

# Config for the Gemini Pull Request Review Bot.
# https://github.com/marketplace/gemini-code-assist
have_fun: false
code_review:
disable: false
comment_severity_threshold: 'HIGH'
max_review_comments: -1
pull_request_opened:
help: false
summary: true
code_review: true
ignore_patterns: []
name: CI
on:
push:
branches-ignore:
- 'generated'
- 'codegen/**'
- 'integrated/**'
- 'stl-preview-head/**'
- 'stl-preview-base/**'
pull_request:
branches-ignore:
- 'stl-preview-head/**'
- 'stl-preview-base/**'

jobs:
lint:
timeout-minutes: 10
name: lint
runs-on: ${{ github.repository == 'stainless-sdks/openai-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
if: github.event_name == 'push' || github.event.pull_request.head.repo.fork
steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'

- name: Install dependencies
run: rye sync --all-features

- name: Run lints
run: ./scripts/lint

build:
if: github.repository == 'stainless-sdks/openai-python' && (github.event_name == 'push' || github.event.pull_request.head.repo.fork)
timeout-minutes: 10
name: build
permissions:
contents: read
id-token: write
runs-on: depot-ubuntu-24.04
steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'

- name: Install dependencies
run: rye sync --all-features

- name: Run build
run: rye build

- name: Get GitHub OIDC Token
id: github-oidc
uses: actions/github-script@v6
with:
script: core.setOutput('github_token', await core.getIDToken());

- name: Upload tarball
env:
URL: https://pkg.stainless.com/s
AUTH: ${{ steps.github-oidc.outputs.github_token }}
SHA: ${{ github.sha }}
run: ./scripts/utils/upload-artifact.sh

test:
timeout-minutes: 10
name: test
runs-on: ${{ github.repository == 'stainless-sdks/openai-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
if: github.event_name == 'push' || github.event.pull_request.head.repo.fork
steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'

- name: Bootstrap
run: ./scripts/bootstrap

- name: Run tests
run: ./scripts/test

examples:
timeout-minutes: 10
name: examples
runs-on: ${{ github.repository == 'stainless-sdks/openai-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
if: github.repository == 'openai/openai-python' && (github.event_name == 'push' || github.event.pull_request.head.repo.fork)

steps:
- uses: actions/checkout@v4

- name: Install Rye
run: |
curl -sSf https://rye.astral.sh/get | bash
echo "$HOME/.rye/shims" >> $GITHUB_PATH
env:
RYE_VERSION: '0.44.0'
RYE_INSTALL_OPTION: '--yes'
- name: Install dependencies
run: |
rye sync --all-features

- env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: |
rye run python examples/demo.py
- env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
run: |
rye run python examples/async_demo.py
You’re working with:

\[
\bar{x}_j = \frac{1}{|C_j|} \sum_{v_i \in C_j} x_i
\]

This gives the **mean** of values \( x_i \) in cluster \( C_j \). Now you’re asking:

> What is \( \bar{x}_j \div 18.33 \)?

---

### 🧮 Interpretation

Let’s assume:

- You already computed \( \bar{x}_j = 18.33 \)
- Now you're dividing that result by 18.33

So:

\[
\frac{\bar{x}_j}{18.33} = \frac{18.33}{18.33} = 1
\]

✅ **Final result: 1

---

### 🧠 Why This Matters

This kind of normalization is often used in:

- **Standardization**: Comparing a value to a reference mean
- **Ratio analysis**: Checking proportional relationships
- **Feature scaling**: In machine learning preprocessing

If you’re building a model or analyzing clusters, this could be part of a larger transformation. Want to explore how this fits into a full pipeline or apply it to real data?
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