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Added notebook workflow to remove metadata through ci (#1612)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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‎.github/workflows/notebooks.yml‎

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name: Labelbox Python SDK Notebooks (Develop)
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on:
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push:
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branches: [develop]
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paths:
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- examples/**
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pull_request:
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branches: [develop]
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paths:
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- examples/**
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permissions:
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contents: write
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pull-requests: write
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jobs:
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update:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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with:
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ref: ${{ github.head_ref }}
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fetch-depth: 0
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- name: Install databooks
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run: pip install databooks
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- name: Remove notebook metadata
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run: echo "y" | databooks meta examples/. --rm-outs
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- name: Commit changes
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run: |
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git config --local user.email "github-actions[bot]@users.noreply.github.com"
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git config --local user.name "github-actions[bot]"
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git add examples/.
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git commit -m "Removed metadata" || exit 0
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- name: Push changes
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uses: ad-m/github-push-action@master
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with:
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github_token: ${{ secrets.GITHUB_TOKEN }}
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branch: ${{ github.head_ref }}

‎examples/annotation_import/audio.ipynb‎

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"!pip install -q 'labelbox[data]'"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.0.1\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\"Failed data rows: \", task.failed_data_rows)"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Errors: None\n",
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"Failed data rows: None\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"project.setup_editor(ontology) # Connect your ontology and editor to your project"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stderr",
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"text": [
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"Default createProject behavior will soon be adjusted to prefer batch projects. Pass in `queue_mode` parameter explicitly to opt-out for the time being.\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\"Batch: \", batch)"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Batch: <Batch {\n",
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" \"consensus_settings_json\": \"{\\\"numberOfLabels\\\":1,\\\"coveragePercentage\\\":0}\",\n",
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" \"created_at\": \"2023-03-28 18:22:33+00:00\",\n",
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" \"name\": \"first-batch-audio-demo\",\n",
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" \"size\": 0,\n",
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" \"uid\": \"81f8c9a0-cd95-11ed-872d-bb648b922b15\",\n",
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" \"updated_at\": \"2023-03-28 18:22:33+00:00\"\n",
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"}>\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\"Status of uploads: \", upload_job.statuses)"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Errors: []\n",
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"Status of uploads: [{'uuid': '40aea601-206f-491c-8bcc-675205dbb351', 'dataRow': {'id': 'clfsl56ww5uyi078ldbojeqby', 'globalKey': 'sample-audio-1.mp3'}, 'status': 'SUCCESS'}, {'uuid': '51c43a0e-a54b-4ee3-94c1-7ccdebe81f98', 'dataRow': {'id': 'clfsl56ww5uyi078ldbojeqby', 'globalKey': 'sample-audio-1.mp3'}, 'status': 'SUCCESS'}, {'uuid': '380273f0-4ed4-4d0a-959a-06659f5edf88', 'dataRow': {'id': 'clfsl56ww5uyi078ldbojeqby', 'globalKey': 'sample-audio-1.mp3'}, 'status': 'SUCCESS'}]\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\"Status of uploads: \", upload_job.statuses)"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Errors: []\n",
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"Status of uploads: [{'uuid': '1e555dd0-3916-4cfb-97be-79f9607da01a', 'dataRow': {'id': 'clfsl56ww5uyi078ldbojeqby', 'globalKey': 'sample-audio-1.mp3'}, 'status': 'SUCCESS'}, {'uuid': 'fe805388-d313-45ea-b3bc-1a7f5ffa0980', 'dataRow': {'id': 'clfsl56ww5uyi078ldbojeqby', 'globalKey': 'sample-audio-1.mp3'}, 'status': 'SUCCESS'}, {'uuid': '83cea6f0-acdf-4a2c-afff-197bac9bdb01', 'dataRow': {'id': 'clfsl56ww5uyi078ldbojeqby', 'globalKey': 'sample-audio-1.mp3'}, 'status': 'SUCCESS'}]\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{

‎examples/annotation_import/dicom.ipynb‎

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"!pip install -q 'labelbox[data]'"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.0.1\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\"Failed data rows:\" ,task.failed_data_rows)"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Errors : None\n",
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"Failed data rows: None\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"project.setup_editor(ontology)"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stderr",
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"text": [
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"Default createProject behavior will soon be adjusted to prefer batch projects. Pass in `queue_mode` parameter explicitly to opt-out for the time being.\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\"Batch: \", batch)"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Batch: <Batch {\n",
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" \"consensus_settings_json\": \"{\\\"numberOfLabels\\\":1,\\\"coveragePercentage\\\":0}\",\n",
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" \"created_at\": \"2023-03-29 15:21:44+00:00\",\n",
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" \"name\": \"first-batch-dicom-demo\",\n",
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" \"size\": 0,\n",
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" \"uid\": \"6a13c820-ce45-11ed-841e-4f0ab6db95bd\",\n",
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" \"updated_at\": \"2023-03-29 15:21:44+00:00\"\n",
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"}>\n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\" \")"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stderr",
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"text": [
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"/Users/ibrahim/workspace/labelbox-python/labelbox/data/serialization/ndjson/label.py:177: UserWarning: Nested classifications are not currently supported\n",
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" for video object annotations\n",
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" and will not import alongside the object annotations.\n",
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" warnings.warn(\n"
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]
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},
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Errors: []\n",
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"Status of uploads: [{'uuid': 'd193960f-1c7b-4493-87d1-8a55b2405748', 'dataRow': {'id': 'clftu3umv0384075r5poqey9o', 'globalKey': 'sample-dicom-1.dcm'}, 'status': 'SUCCESS'}, {'uuid': '8d0c454e-3385-44fc-97db-0516db3e7dc1', 'dataRow': {'id': 'clftu3umv0384075r5poqey9o', 'globalKey': 'sample-dicom-1.dcm'}, 'status': 'SUCCESS'}]\n",
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" \n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{
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"print(\" \")"
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],
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"cell_type": "code",
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Errors: []\n",
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"Status of uploads: [{'uuid': '1cc42044-4f36-45af-8b05-da6c8dd5bf37', 'dataRow': {'id': 'clftu3umv0384075r5poqey9o', 'globalKey': 'sample-dicom-1.dcm'}, 'status': 'SUCCESS'}, {'uuid': '005e5d45-b3c2-49f5-bf82-aef760de7826', 'dataRow': {'id': 'clftu3umv0384075r5poqey9o', 'globalKey': 'sample-dicom-1.dcm'}, 'status': 'SUCCESS'}]\n",
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" \n"
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]
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}
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],
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"outputs": [],
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"execution_count": null
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},
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{

‎examples/basics/basics.ipynb‎

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"metadata": {},
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"source": [
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"project.update(description=\"new description field\")\n",
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"print(project.description)"
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"print(project.description)\n"
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],
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"cell_type": "code",
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"outputs": [],

‎examples/basics/batches.ipynb‎

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"source": [
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"# Add your API key\n",
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"API_KEY = \"\"\n",
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"# To get your API key go to: Workspace settings -> API -> Create API Key\n",
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"client = lb.Client(api_key=API_KEY)"
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],
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"cell_type": "code",

‎examples/basics/data_row_metadata.ipynb‎

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{
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"metadata": {},
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"source": [
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"# Add your api key\n",
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"# Add your API key\n",
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"API_KEY = \"\"\n",
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"# To get your API key go to: Workspace settings -> API -> Create API Key\n",
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"client = lb.Client(api_key=API_KEY)"
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],
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"cell_type": "code",

‎examples/basics/data_rows.ipynb‎

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"execution_count": null
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}
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]
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}
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}

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