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# .editorconfig
root = true
# All files
[*]
charset = utf-8
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
# Python files
[*.py]
indent_style = space
indent_size = 2
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name: Bug report
description: Create a report to help us improve CrewAI
title: "[BUG]"
labels: ["bug"]
assignees: []
body:
- type: textarea
id: description
attributes:
label: Description
description: Provide a clear and concise description of what the bug is.
validations:
required: true
- type: textarea
id: steps-to-reproduce
attributes:
label: Steps to Reproduce
description: Provide a step-by-step process to reproduce the behavior.
placeholder: |
1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error
validations:
required: true
- type: textarea
id: expected-behavior
attributes:
label: Expected behavior
description: A clear and concise description of what you expected to happen.
validations:
required: true
- type: textarea
id: screenshots-code
attributes:
label: Screenshots/Code snippets
description: If applicable, add screenshots or code snippets to help explain your problem.
validations:
required: true
- type: dropdown
id: os
attributes:
label: Operating System
description: Select the operating system you're using
options:
- Ubuntu 20.04
- Ubuntu 22.04
- Ubuntu 24.04
- macOS Catalina
- macOS Big Sur
- macOS Monterey
- macOS Ventura
- macOS Sonoma
- Windows 10
- Windows 11
- Other (specify in additional context)
validations:
required: true
- type: dropdown
id: python-version
attributes:
label: Python Version
description: Version of Python your Crew is running on
options:
- '3.10'
- '3.11'
- '3.12'
validations:
required: true
- type: input
id: crewai-version
attributes:
label: crewAI Version
description: What version of CrewAI are you using
validations:
required: true
- type: input
id: crewai-tools-version
attributes:
label: crewAI Tools Version
description: What version of CrewAI Tools are you using
validations:
required: true
- type: dropdown
id: virtual-environment
attributes:
label: Virtual Environment
description: What Virtual Environment are you running your crew in.
options:
- Venv
- Conda
- Poetry
validations:
required: true
- type: textarea
id: evidence
attributes:
label: Evidence
description: Include relevant information, logs or error messages. These can be screenshots.
validations:
required: true
- type: textarea
id: possible-solution
attributes:
label: Possible Solution
description: Have a solution in mind? Please suggest it here, or write "None".
validations:
required: true
- type: textarea
id: additional-context
attributes:
label: Additional context
description: Add any other context about the problem here.
validations:
required: true
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blank_issues_enabled: false
@@ -1,65 +0,0 @@
name: Feature request
description: Suggest a new feature for CrewAI
title: "[FEATURE]"
labels: ["feature-request"]
assignees: []
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to fill out this feature request!
- type: dropdown
id: feature-area
attributes:
label: Feature Area
description: Which area of CrewAI does this feature primarily relate to?
options:
- Core functionality
- Agent capabilities
- Task management
- Integration with external tools
- Performance optimization
- Documentation
- Other (please specify in additional context)
validations:
required: true
- type: textarea
id: problem
attributes:
label: Is your feature request related to a an existing bug? Please link it here.
description: A link to the bug or NA if not related to an existing bug.
validations:
required: true
- type: textarea
id: solution
attributes:
label: Describe the solution you'd like
description: A clear and concise description of what you want to happen.
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: Describe alternatives you've considered
description: A clear and concise description of any alternative solutions or features you've considered.
validations:
required: false
- type: textarea
id: context
attributes:
label: Additional context
description: Add any other context, screenshots, or examples about the feature request here.
validations:
required: false
- type: dropdown
id: willingness-to-contribute
attributes:
label: Willingness to Contribute
description: Would you be willing to contribute to the implementation of this feature?
options:
- Yes, I'd be happy to submit a pull request
- I could provide more detailed specifications
- I can test the feature once it's implemented
- No, I'm just suggesting the idea
validations:
required: true
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## CrewAI Security Vulnerability Reporting Policy
CrewAI prioritizes the security of our software products, services, and GitHub repositories. To promptly address vulnerabilities, follow these steps for reporting security issues:
### Reporting Process
Do **not** report vulnerabilities via public GitHub issues.
Email all vulnerability reports directly to:
**security@crewai.com**
### Required Information
To help us quickly validate and remediate the issue, your report must include:
- **Vulnerability Type:** Clearly state the vulnerability type (e.g., SQL injection, XSS, privilege escalation).
- **Affected Source Code:** Provide full file paths and direct URLs (branch, tag, or commit).
- **Reproduction Steps:** Include detailed, step-by-step instructions. Screenshots are recommended.
- **Special Configuration:** Document any special settings or configurations required to reproduce.
- **Proof-of-Concept (PoC):** Provide exploit or PoC code (if available).
- **Impact Assessment:** Clearly explain the severity and potential exploitation scenarios.
### Our Response
- We will acknowledge receipt of your report promptly via your provided email.
- Confirmed vulnerabilities will receive priority remediation based on severity.
- Patches will be released as swiftly as possible following verification.
### Reward Notice
Currently, we do not offer a bug bounty program. Rewards, if issued, are discretionary.
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name: Build uv cache
on:
push:
branches:
- main
paths:
- "uv.lock"
- "pyproject.toml"
workflow_dispatch:
permissions:
contents: read
jobs:
build-cache:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.10", "3.11", "3.12", "3.13"]
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.8.4"
python-version: ${{ matrix.python-version }}
enable-cache: false
- name: Install dependencies and populate cache
run: |
echo "Building global UV cache for Python ${{ matrix.python-version }}..."
uv sync --all-groups --all-extras --no-install-project
echo "Cache populated successfully"
- name: Save uv caches
uses: actions/cache/save@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
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# For most projects, this workflow file will not need changing; you simply need
# to commit it to your repository.
#
# You may wish to alter this file to override the set of languages analyzed,
# or to provide custom queries or build logic.
#
# ******** NOTE ********
# We have attempted to detect the languages in your repository. Please check
# the `language` matrix defined below to confirm you have the correct set of
# supported CodeQL languages.
#
name: "CodeQL Advanced"
on:
push:
branches: [ "main" ]
paths-ignore:
- "src/crewai/cli/templates/**"
pull_request:
branches: [ "main" ]
paths-ignore:
- "src/crewai/cli/templates/**"
jobs:
analyze:
name: Analyze (${{ matrix.language }})
# Runner size impacts CodeQL analysis time. To learn more, please see:
# - https://gh.io/recommended-hardware-resources-for-running-codeql
# - https://gh.io/supported-runners-and-hardware-resources
# - https://gh.io/using-larger-runners (GitHub.com only)
# Consider using larger runners or machines with greater resources for possible analysis time improvements.
runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
permissions:
# required for all workflows
security-events: write
# required to fetch internal or private CodeQL packs
packages: read
# only required for workflows in private repositories
actions: read
contents: read
strategy:
fail-fast: false
matrix:
include:
- language: actions
build-mode: none
- language: python
build-mode: none
# CodeQL supports the following values keywords for 'language': 'actions', 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'rust', 'swift'
# Use `c-cpp` to analyze code written in C, C++ or both
# Use 'java-kotlin' to analyze code written in Java, Kotlin or both
# Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
# To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
# see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
# If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
# your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
steps:
- name: Checkout repository
uses: actions/checkout@v4
# Add any setup steps before running the `github/codeql-action/init` action.
# This includes steps like installing compilers or runtimes (`actions/setup-node`
# or others). This is typically only required for manual builds.
# - name: Setup runtime (example)
# uses: actions/setup-example@v1
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@v3
with:
languages: ${{ matrix.language }}
build-mode: ${{ matrix.build-mode }}
# If you wish to specify custom queries, you can do so here or in a config file.
# By default, queries listed here will override any specified in a config file.
# Prefix the list here with "+" to use these queries and those in the config file.
# For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
# queries: security-extended,security-and-quality
# If the analyze step fails for one of the languages you are analyzing with
# "We were unable to automatically build your code", modify the matrix above
# to set the build mode to "manual" for that language. Then modify this step
# to build your code.
# ℹ️ Command-line programs to run using the OS shell.
# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
- if: matrix.build-mode == 'manual'
shell: bash
run: |
echo 'If you are using a "manual" build mode for one or more of the' \
'languages you are analyzing, replace this with the commands to build' \
'your code, for example:'
echo ' make bootstrap'
echo ' make release'
exit 1
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v3
with:
category: "/language:${{matrix.language}}"
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name: Lint
on: [pull_request]
permissions:
contents: read
jobs:
lint:
runs-on: ubuntu-latest
env:
TARGET_BRANCH: ${{ github.event.pull_request.base.ref }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Fetch Target Branch
run: git fetch origin $TARGET_BRANCH --depth=1
- name: Restore global uv cache
id: cache-restore
uses: actions/cache/restore@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py3.11-${{ hashFiles('uv.lock') }}
restore-keys: |
uv-main-py3.11-
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.8.4"
python-version: "3.11"
enable-cache: false
- name: Install dependencies
run: uv sync --all-groups --all-extras --no-install-project
- name: Get Changed Python Files
id: changed-files
run: |
merge_base=$(git merge-base origin/"$TARGET_BRANCH" HEAD)
changed_files=$(git diff --name-only --diff-filter=ACMRTUB "$merge_base" | grep '\.py$' || true)
echo "files<<EOF" >> $GITHUB_OUTPUT
echo "$changed_files" >> $GITHUB_OUTPUT
echo "EOF" >> $GITHUB_OUTPUT
- name: Run Ruff on Changed Files
if: ${{ steps.changed-files.outputs.files != '' }}
run: |
echo "${{ steps.changed-files.outputs.files }}" \
| tr ' ' '\n' \
| grep -v 'src/crewai/cli/templates/' \
| xargs -I{} uv run ruff check "{}"
- name: Save uv caches
if: steps.cache-restore.outputs.cache-hit != 'true'
uses: actions/cache/save@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py3.11-${{ hashFiles('uv.lock') }}
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name: Notify Downstream
on:
push:
branches:
- main
permissions:
contents: read
jobs:
notify-downstream:
runs-on: ubuntu-latest
steps:
- name: Generate GitHub App token
id: app-token
uses: tibdex/github-app-token@v2
with:
app_id: ${{ secrets.OSS_SYNC_APP_ID }}
private_key: ${{ secrets.OSS_SYNC_APP_PRIVATE_KEY }}
- name: Notify Repo B
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ steps.app-token.outputs.token }}
repository: ${{ secrets.OSS_SYNC_DOWNSTREAM_REPO }}
event-type: upstream-commit
client-payload: |
{
"commit_sha": "${{ github.sha }}"
}
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name: Mark stale issues and pull requests
permissions:
contents: write
issues: write
pull-requests: write
on:
schedule:
- cron: '10 12 * * *'
workflow_dispatch:
jobs:
stale:
runs-on: ubuntu-latest
steps:
- uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
stale-issue-label: 'no-issue-activity'
stale-issue-message: 'This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
close-issue-message: 'This issue was closed because it has been stalled for 5 days with no activity.'
days-before-issue-stale: 30
days-before-issue-close: 5
stale-pr-label: 'no-pr-activity'
stale-pr-message: 'This PR is stale because it has been open for 45 days with no activity.'
days-before-pr-stale: 45
days-before-pr-close: -1
operations-per-run: 1200
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name: Run Tests
on: [pull_request]
permissions:
contents: read
env:
OPENAI_API_KEY: fake-api-key
PYTHONUNBUFFERED: 1
jobs:
tests:
name: tests (${{ matrix.python-version }})
runs-on: ubuntu-latest
timeout-minutes: 15
strategy:
fail-fast: true
matrix:
python-version: ['3.10', '3.11', '3.12', '3.13']
group: [1, 2, 3, 4, 5, 6, 7, 8]
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0 # Fetch all history for proper diff
- name: Restore global uv cache
id: cache-restore
uses: actions/cache/restore@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
restore-keys: |
uv-main-py${{ matrix.python-version }}-
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.8.4"
python-version: ${{ matrix.python-version }}
enable-cache: false
- name: Install the project
run: uv sync --all-groups --all-extras
- name: Restore test durations
uses: actions/cache/restore@v4
with:
path: .test_durations_py*
key: test-durations-py${{ matrix.python-version }}
- name: Run tests (group ${{ matrix.group }} of 8)
run: |
PYTHON_VERSION_SAFE=$(echo "${{ matrix.python-version }}" | tr '.' '_')
DURATION_FILE=".test_durations_py${PYTHON_VERSION_SAFE}"
# Temporarily always skip cached durations to fix test splitting
# When durations don't match, pytest-split runs duplicate tests instead of splitting
echo "Using even test splitting (duration cache disabled until fix merged)"
DURATIONS_ARG=""
# Original logic (disabled temporarily):
# if [ ! -f "$DURATION_FILE" ]; then
# echo "No cached durations found, tests will be split evenly"
# DURATIONS_ARG=""
# elif git diff origin/${{ github.base_ref }}...HEAD --name-only 2>/dev/null | grep -q "^tests/.*\.py$"; then
# echo "Test files have changed, skipping cached durations to avoid mismatches"
# DURATIONS_ARG=""
# else
# echo "No test changes detected, using cached test durations for optimal splitting"
# DURATIONS_ARG="--durations-path=${DURATION_FILE}"
# fi
uv run pytest \
--block-network \
--timeout=30 \
-vv \
--splits 8 \
--group ${{ matrix.group }} \
$DURATIONS_ARG \
--durations=10 \
-n auto \
--maxfail=3
- name: Save uv caches
if: steps.cache-restore.outputs.cache-hit != 'true'
uses: actions/cache/save@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
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name: Run Type Checks
on: [pull_request]
permissions:
contents: read
jobs:
type-checker-matrix:
name: type-checker (${{ matrix.python-version }})
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.10", "3.11", "3.12", "3.13"]
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0 # Fetch all history for proper diff
- name: Restore global uv cache
id: cache-restore
uses: actions/cache/restore@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
restore-keys: |
uv-main-py${{ matrix.python-version }}-
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.8.4"
python-version: ${{ matrix.python-version }}
enable-cache: false
- name: Install dependencies
run: uv sync --all-groups --all-extras
- name: Get changed Python files
id: changed-files
run: |
# Get the list of changed Python files compared to the base branch
echo "Fetching changed files..."
git diff --name-only --diff-filter=ACMRT origin/${{ github.base_ref }}...HEAD -- '*.py' > changed_files.txt
# Filter for files in src/ directory only (excluding tests/)
grep -E "^src/" changed_files.txt > filtered_changed_files.txt || true
# Check if there are any changed files
if [ -s filtered_changed_files.txt ]; then
echo "Changed Python files in src/:"
cat filtered_changed_files.txt
echo "has_changes=true" >> $GITHUB_OUTPUT
# Convert newlines to spaces for mypy command
echo "files=$(cat filtered_changed_files.txt | tr '\n' ' ')" >> $GITHUB_OUTPUT
else
echo "No Python files changed in src/"
echo "has_changes=false" >> $GITHUB_OUTPUT
fi
- name: Run type checks on changed files
if: steps.changed-files.outputs.has_changes == 'true'
run: |
echo "Running mypy on changed files with Python ${{ matrix.python-version }}..."
uv run mypy ${{ steps.changed-files.outputs.files }}
- name: No files to check
if: steps.changed-files.outputs.has_changes == 'false'
run: echo "No Python files in src/ were modified - skipping type checks"
- name: Save uv caches
if: steps.cache-restore.outputs.cache-hit != 'true'
uses: actions/cache/save@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
# Summary job to provide single status for branch protection
type-checker:
name: type-checker
runs-on: ubuntu-latest
needs: type-checker-matrix
if: always()
steps:
- name: Check matrix results
run: |
if [ "${{ needs.type-checker-matrix.result }}" == "success" ] || [ "${{ needs.type-checker-matrix.result }}" == "skipped" ]; then
echo "✅ All type checks passed"
else
echo "❌ Type checks failed"
exit 1
fi
@@ -1,71 +0,0 @@
name: Update Test Durations
on:
push:
branches:
- main
paths:
- 'tests/**/*.py'
workflow_dispatch:
permissions:
contents: read
jobs:
update-durations:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.10', '3.11', '3.12', '3.13']
env:
OPENAI_API_KEY: fake-api-key
PYTHONUNBUFFERED: 1
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Restore global uv cache
id: cache-restore
uses: actions/cache/restore@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
restore-keys: |
uv-main-py${{ matrix.python-version }}-
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: "0.8.4"
python-version: ${{ matrix.python-version }}
enable-cache: false
- name: Install the project
run: uv sync --all-groups --all-extras
- name: Run all tests and store durations
run: |
PYTHON_VERSION_SAFE=$(echo "${{ matrix.python-version }}" | tr '.' '_')
uv run pytest --store-durations --durations-path=.test_durations_py${PYTHON_VERSION_SAFE} -n auto
continue-on-error: true
- name: Save durations to cache
if: always()
uses: actions/cache/save@v4
with:
path: .test_durations_py*
key: test-durations-py${{ matrix.python-version }}
- name: Save uv caches
if: steps.cache-restore.outputs.cache-hit != 'true'
uses: actions/cache/save@v4
with:
path: |
~/.cache/uv
~/.local/share/uv
.venv
key: uv-main-py${{ matrix.python-version }}-${{ hashFiles('uv.lock') }}
-29
View File
@@ -1,29 +0,0 @@
.DS_Store
.pytest_cache
__pycache__
dist/
lib/
.env
assets/*
.idea
test/
docs_crew/
chroma.sqlite3
old_en.json
db/
test.py
rc-tests/*
*.pkl
temp/*
.vscode/*
crew_tasks_output.json
.codesight
.mypy_cache
.ruff_cache
.venv
test_flow.html
crewairules.mdc
plan.md
conceptual_plan.md
build_image
chromadb-*.lock
File renamed without changes.
-19
View File
@@ -1,19 +0,0 @@
repos:
- repo: local
hooks:
- id: ruff
name: ruff
entry: uv run ruff check
language: system
types: [python]
- id: ruff-format
name: ruff-format
entry: uv run ruff format
language: system
types: [python]
- id: mypy
name: mypy
entry: uv run mypy
language: system
types: [python]
exclude: ^tests/
+2458
View File
File diff suppressed because it is too large. Load diff
-19
View File
@@ -1,19 +0,0 @@
Copyright (c) 2025 crewAI, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
-777
View File
@@ -1,777 +0,0 @@
<p align="center">
<a href="https://github.com/crewAIInc/crewAI">
<img src="docs/images/crewai_logo.png" width="600px" alt="Open source Multi-AI Agent orchestration framework">
</a>
</p>
<p align="center" style="display: flex; justify-content: center; gap: 20px; align-items: center;">
<a href="https://trendshift.io/repositories/11239" target="_blank">
<img src="https://trendshift.io/api/badge/repositories/11239" alt="crewAIInc%2FcrewAI | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/>
</a>
</p>
<p align="center">
<a href="https://crewai.com">Homepage</a>
·
<a href="https://docs.crewai.com">Docs</a>
·
<a href="https://app.crewai.com">Start Cloud Trial</a>
·
<a href="https://blog.crewai.com">Blog</a>
·
<a href="https://community.crewai.com">Forum</a>
</p>
<p align="center">
<a href="https://github.com/crewAIInc/crewAI">
<img src="https://img.shields.io/github/stars/crewAIInc/crewAI" alt="GitHub Repo stars">
</a>
<a href="https://github.com/crewAIInc/crewAI/network/members">
<img src="https://img.shields.io/github/forks/crewAIInc/crewAI" alt="GitHub forks">
</a>
<a href="https://github.com/crewAIInc/crewAI/issues">
<img src="https://img.shields.io/github/issues/crewAIInc/crewAI" alt="GitHub issues">
</a>
<a href="https://github.com/crewAIInc/crewAI/pulls">
<img src="https://img.shields.io/github/issues-pr/crewAIInc/crewAI" alt="GitHub pull requests">
</a>
<a href="https://opensource.org/licenses/MIT">
<img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License: MIT">
</a>
</p>
<p align="center">
<a href="https://pypi.org/project/crewai/">
<img src="https://img.shields.io/pypi/v/crewai" alt="PyPI version">
</a>
<a href="https://pypi.org/project/crewai/">
<img src="https://img.shields.io/pypi/dm/crewai" alt="PyPI downloads">
</a>
<a href="https://twitter.com/crewAIInc">
<img src="https://img.shields.io/twitter/follow/crewAIInc?style=social" alt="Twitter Follow">
</a>
</p>
### Fast and Flexible Multi-Agent Automation Framework
> CrewAI is a lean, lightning-fast Python framework built entirely from scratch—completely **independent of LangChain or other agent frameworks**.
> It empowers developers with both high-level simplicity and precise low-level control, ideal for creating autonomous AI agents tailored to any scenario.
- **CrewAI Crews**: Optimize for autonomy and collaborative intelligence.
- **CrewAI Flows**: Enable granular, event-driven control, single LLM calls for precise task orchestration and supports Crews natively
With over 100,000 developers certified through our community courses at [learn.crewai.com](https://learn.crewai.com), CrewAI is rapidly becoming the
standard for enterprise-ready AI automation.
# CrewAI Enterprise Suite
CrewAI Enterprise Suite is a comprehensive bundle tailored for organizations that require secure, scalable, and easy-to-manage agent-driven automation.
You can try one part of the suite the [Crew Control Plane for free](https://app.crewai.com)
## Crew Control Plane Key Features:
- **Tracing & Observability**: Monitor and track your AI agents and workflows in real-time, including metrics, logs, and traces.
- **Unified Control Plane**: A centralized platform for managing, monitoring, and scaling your AI agents and workflows.
- **Seamless Integrations**: Easily connect with existing enterprise systems, data sources, and cloud infrastructure.
- **Advanced Security**: Built-in robust security and compliance measures ensuring safe deployment and management.
- **Actionable Insights**: Real-time analytics and reporting to optimize performance and decision-making.
- **24/7 Support**: Dedicated enterprise support to ensure uninterrupted operation and quick resolution of issues.
- **On-premise and Cloud Deployment Options**: Deploy CrewAI Enterprise on-premise or in the cloud, depending on your security and compliance requirements.
CrewAI Enterprise is designed for enterprises seeking a powerful, reliable solution to transform complex business processes into efficient,
intelligent automations.
## Table of contents
- [Why CrewAI?](#why-crewai)
- [Getting Started](#getting-started)
- [Key Features](#key-features)
- [Understanding Flows and Crews](#understanding-flows-and-crews)
- [CrewAI vs LangGraph](#how-crewai-compares)
- [Examples](#examples)
- [Quick Tutorial](#quick-tutorial)
- [Write Job Descriptions](#write-job-descriptions)
- [Trip Planner](#trip-planner)
- [Stock Analysis](#stock-analysis)
- [Using Crews and Flows Together](#using-crews-and-flows-together)
- [Connecting Your Crew to a Model](#connecting-your-crew-to-a-model)
- [How CrewAI Compares](#how-crewai-compares)
- [Frequently Asked Questions (FAQ)](#frequently-asked-questions-faq)
- [Contribution](#contribution)
- [Telemetry](#telemetry)
- [License](#license)
## Why CrewAI?
<div align="center" style="margin-bottom: 30px;">
<img src="docs/images/asset.png" alt="CrewAI Logo" width="100%">
</div>
CrewAI unlocks the true potential of multi-agent automation, delivering the best-in-class combination of speed, flexibility, and control with either Crews of AI Agents or Flows of Events:
- **Standalone Framework**: Built from scratch, independent of LangChain or any other agent framework.
- **High Performance**: Optimized for speed and minimal resource usage, enabling faster execution.
- **Flexible Low Level Customization**: Complete freedom to customize at both high and low levels - from overall workflows and system architecture to granular agent behaviors, internal prompts, and execution logic.
- **Ideal for Every Use Case**: Proven effective for both simple tasks and highly complex, real-world, enterprise-grade scenarios.
- **Robust Community**: Backed by a rapidly growing community of over **100,000 certified** developers offering comprehensive support and resources.
CrewAI empowers developers and enterprises to confidently build intelligent automations, bridging the gap between simplicity, flexibility, and performance.
## Getting Started
Setup and run your first CrewAI agents by following this tutorial.
[![CrewAI Getting Started Tutorial](https://img.youtube.com/vi/-kSOTtYzgEw/hqdefault.jpg)](https://www.youtube.com/watch?v=-kSOTtYzgEw "CrewAI Getting Started Tutorial")
###
Learning Resources
Learn CrewAI through our comprehensive courses:
- [Multi AI Agent Systems with CrewAI](https://www.deeplearning.ai/short-courses/multi-ai-agent-systems-with-crewai/) - Master the fundamentals of multi-agent systems
- [Practical Multi AI Agents and Advanced Use Cases](https://www.deeplearning.ai/short-courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai/) - Deep dive into advanced implementations
### Understanding Flows and Crews
CrewAI offers two powerful, complementary approaches that work seamlessly together to build sophisticated AI applications:
1. **Crews**: Teams of AI agents with true autonomy and agency, working together to accomplish complex tasks through role-based collaboration. Crews enable:
- Natural, autonomous decision-making between agents
- Dynamic task delegation and collaboration
- Specialized roles with defined goals and expertise
- Flexible problem-solving approaches
2. **Flows**: Production-ready, event-driven workflows that deliver precise control over complex automations. Flows provide:
- Fine-grained control over execution paths for real-world scenarios
- Secure, consistent state management between tasks
- Clean integration of AI agents with production Python code
- Conditional branching for complex business logic
The true power of CrewAI emerges when combining Crews and Flows. This synergy allows you to:
- Build complex, production-grade applications
- Balance autonomy with precise control
- Handle sophisticated real-world scenarios
- Maintain clean, maintainable code structure
### Getting Started with Installation
To get started with CrewAI, follow these simple steps:
### 1. Installation
Ensure you have Python >=3.10 <3.14 installed on your system. CrewAI uses [UV](https://docs.astral.sh/uv/) for dependency management and package handling, offering a seamless setup and execution experience.
First, install CrewAI:
```shell
pip install crewai
```
If you want to install the 'crewai' package along with its optional features that include additional tools for agents, you can do so by using the following command:
```shell
pip install 'crewai[tools]'
```
The command above installs the basic package and also adds extra components which require more dependencies to function.
### Troubleshooting Dependencies
If you encounter issues during installation or usage, here are some common solutions:
#### Common Issues
1. **ModuleNotFoundError: No module named 'tiktoken'**
- Install tiktoken explicitly: `pip install 'crewai[embeddings]'`
- If using embedchain or other tools: `pip install 'crewai[tools]'`
2. **Failed building wheel for tiktoken**
- Ensure Rust compiler is installed (see installation steps above)
- For Windows: Verify Visual C++ Build Tools are installed
- Try upgrading pip: `pip install --upgrade pip`
- If issues persist, use a pre-built wheel: `pip install tiktoken --prefer-binary`
### 2. Setting Up Your Crew with the YAML Configuration
To create a new CrewAI project, run the following CLI (Command Line Interface) command:
```shell
crewai create crew <project_name>
```
This command creates a new project folder with the following structure:
```
my_project/
├── .gitignore
├── pyproject.toml
├── README.md
├── .env
└── src/
└── my_project/
├── __init__.py
├── main.py
├── crew.py
├── tools/
│ ├── custom_tool.py
│ └── __init__.py
└── config/
├── agents.yaml
└── tasks.yaml
```
You can now start developing your crew by editing the files in the `src/my_project` folder. The `main.py` file is the entry point of the project, the `crew.py` file is where you define your crew, the `agents.yaml` file is where you define your agents, and the `tasks.yaml` file is where you define your tasks.
#### To customize your project, you can:
- Modify `src/my_project/config/agents.yaml` to define your agents.
- Modify `src/my_project/config/tasks.yaml` to define your tasks.
- Modify `src/my_project/crew.py` to add your own logic, tools, and specific arguments.
- Modify `src/my_project/main.py` to add custom inputs for your agents and tasks.
- Add your environment variables into the `.env` file.
#### Example of a simple crew with a sequential process:
Instantiate your crew:
```shell
crewai create crew latest-ai-development
```
Modify the files as needed to fit your use case:
**agents.yaml**
```yaml
# src/my_project/config/agents.yaml
researcher:
role: >
{topic} Senior Data Researcher
goal: >
Uncover cutting-edge developments in {topic}
backstory: >
You're a seasoned researcher with a knack for uncovering the latest
developments in {topic}. Known for your ability to find the most relevant
information and present it in a clear and concise manner.
reporting_analyst:
role: >
{topic} Reporting Analyst
goal: >
Create detailed reports based on {topic} data analysis and research findings
backstory: >
You're a meticulous analyst with a keen eye for detail. You're known for
your ability to turn complex data into clear and concise reports, making
it easy for others to understand and act on the information you provide.
```
**tasks.yaml**
```yaml
# src/my_project/config/tasks.yaml
research_task:
description: >
Conduct a thorough research about {topic}
Make sure you find any interesting and relevant information given
the current year is 2025.
expected_output: >
A list with 10 bullet points of the most relevant information about {topic}
agent: researcher
reporting_task:
description: >
Review the context you got and expand each topic into a full section for a report.
Make sure the report is detailed and contains any and all relevant information.
expected_output: >
A fully fledge reports with the mains topics, each with a full section of information.
Formatted as markdown without '```'
agent: reporting_analyst
output_file: report.md
```
**crew.py**
```python
# src/my_project/crew.py
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
from crewai_tools import SerperDevTool
from crewai.agents.agent_builder.base_agent import BaseAgent
from typing import List
@CrewBase
class LatestAiDevelopmentCrew():
"""LatestAiDevelopment crew"""
agents: List[BaseAgent]
tasks: List[Task]
@agent
def researcher(self) -> Agent:
return Agent(
config=self.agents_config['researcher'],
verbose=True,
tools=[SerperDevTool()]
)
@agent
def reporting_analyst(self) -> Agent:
return Agent(
config=self.agents_config['reporting_analyst'],
verbose=True
)
@task
def research_task(self) -> Task:
return Task(
config=self.tasks_config['research_task'],
)
@task
def reporting_task(self) -> Task:
return Task(
config=self.tasks_config['reporting_task'],
output_file='report.md'
)
@crew
def crew(self) -> Crew:
"""Creates the LatestAiDevelopment crew"""
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
)
```
**main.py**
```python
#!/usr/bin/env python
# src/my_project/main.py
import sys
from latest_ai_development.crew import LatestAiDevelopmentCrew
def run():
"""
Run the crew.
"""
inputs = {
'topic': 'AI Agents'
}
LatestAiDevelopmentCrew().crew().kickoff(inputs=inputs)
```
### 3. Running Your Crew
Before running your crew, make sure you have the following keys set as environment variables in your `.env` file:
- An [OpenAI API key](https://platform.openai.com/account/api-keys) (or other LLM API key): `OPENAI_API_KEY=sk-...`
- A [Serper.dev](https://serper.dev/) API key: `SERPER_API_KEY=YOUR_KEY_HERE`
Lock the dependencies and install them by using the CLI command but first, navigate to your project directory:
```shell
cd my_project
crewai install (Optional)
```
To run your crew, execute the following command in the root of your project:
```bash
crewai run
```
or
```bash
python src/my_project/main.py
```
If an error happens due to the usage of poetry, please run the following command to update your crewai package:
```bash
crewai update
```
You should see the output in the console and the `report.md` file should be created in the root of your project with the full final report.
In addition to the sequential process, you can use the hierarchical process, which automatically assigns a manager to the defined crew to properly coordinate the planning and execution of tasks through delegation and validation of results. [See more about the processes here](https://docs.crewai.com/core-concepts/Processes/).
## Key Features
CrewAI stands apart as a lean, standalone, high-performance multi-AI Agent framework delivering simplicity, flexibility, and precise control—free from the complexity and limitations found in other agent frameworks.
- **Standalone & Lean**: Completely independent from other frameworks like LangChain, offering faster execution and lighter resource demands.
- **Flexible & Precise**: Easily orchestrate autonomous agents through intuitive [Crews](https://docs.crewai.com/concepts/crews) or precise [Flows](https://docs.crewai.com/concepts/flows), achieving perfect balance for your needs.
- **Seamless Integration**: Effortlessly combine Crews (autonomy) and Flows (precision) to create complex, real-world automations.
- **Deep Customization**: Tailor every aspect—from high-level workflows down to low-level internal prompts and agent behaviors.
- **Reliable Performance**: Consistent results across simple tasks and complex, enterprise-level automations.
- **Thriving Community**: Backed by robust documentation and over 100,000 certified developers, providing exceptional support and guidance.
Choose CrewAI to easily build powerful, adaptable, and production-ready AI automations.
## Examples
You can test different real life examples of AI crews in the [CrewAI-examples repo](https://github.com/crewAIInc/crewAI-examples?tab=readme-ov-file):
- [Landing Page Generator](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/landing_page_generator)
- [Having Human input on the execution](https://docs.crewai.com/how-to/Human-Input-on-Execution)
- [Trip Planner](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner)
- [Stock Analysis](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis)
### Quick Tutorial
[![CrewAI Tutorial](https://img.youtube.com/vi/tnejrr-0a94/maxresdefault.jpg)](https://www.youtube.com/watch?v=tnejrr-0a94 "CrewAI Tutorial")
### Write Job Descriptions
[Check out code for this example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/job-posting) or watch a video below:
[![Jobs postings](https://img.youtube.com/vi/u98wEMz-9to/maxresdefault.jpg)](https://www.youtube.com/watch?v=u98wEMz-9to "Jobs postings")
### Trip Planner
[Check out code for this example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/trip_planner) or watch a video below:
[![Trip Planner](https://img.youtube.com/vi/xis7rWp-hjs/maxresdefault.jpg)](https://www.youtube.com/watch?v=xis7rWp-hjs "Trip Planner")
### Stock Analysis
[Check out code for this example](https://github.com/crewAIInc/crewAI-examples/tree/main/crews/stock_analysis) or watch a video below:
[![Stock Analysis](https://img.youtube.com/vi/e0Uj4yWdaAg/maxresdefault.jpg)](https://www.youtube.com/watch?v=e0Uj4yWdaAg "Stock Analysis")
### Using Crews and Flows Together
CrewAI's power truly shines when combining Crews with Flows to create sophisticated automation pipelines.
CrewAI flows support logical operators like `or_` and `and_` to combine multiple conditions. This can be used with `@start`, `@listen`, or `@router` decorators to create complex triggering conditions.
- `or_`: Triggers when any of the specified conditions are met.
- `and_`Triggers when all of the specified conditions are met.
Here's how you can orchestrate multiple Crews within a Flow:
```python
from crewai.flow.flow import Flow, listen, start, router, or_
from crewai import Crew, Agent, Task, Process
from pydantic import BaseModel
# Define structured state for precise control
class MarketState(BaseModel):
sentiment: str = "neutral"
confidence: float = 0.0
recommendations: list = []
class AdvancedAnalysisFlow(Flow[MarketState]):
@start()
def fetch_market_data(self):
# Demonstrate low-level control with structured state
self.state.sentiment = "analyzing"
return {"sector": "tech", "timeframe": "1W"} # These parameters match the task description template
@listen(fetch_market_data)
def analyze_with_crew(self, market_data):
# Show crew agency through specialized roles
analyst = Agent(
role="Senior Market Analyst",
goal="Conduct deep market analysis with expert insight",
backstory="You're a veteran analyst known for identifying subtle market patterns"
)
researcher = Agent(
role="Data Researcher",
goal="Gather and validate supporting market data",
backstory="You excel at finding and correlating multiple data sources"
)
analysis_task = Task(
description="Analyze {sector} sector data for the past {timeframe}",
expected_output="Detailed market analysis with confidence score",
agent=analyst
)
research_task = Task(
description="Find supporting data to validate the analysis",
expected_output="Corroborating evidence and potential contradictions",
agent=researcher
)
# Demonstrate crew autonomy
analysis_crew = Crew(
agents=[analyst, researcher],
tasks=[analysis_task, research_task],
process=Process.sequential,
verbose=True
)
return analysis_crew.kickoff(inputs=market_data) # Pass market_data as named inputs
@router(analyze_with_crew)
def determine_next_steps(self):
# Show flow control with conditional routing
if self.state.confidence > 0.8:
return "high_confidence"
elif self.state.confidence > 0.5:
return "medium_confidence"
return "low_confidence"
@listen("high_confidence")
def execute_strategy(self):
# Demonstrate complex decision making
strategy_crew = Crew(
agents=[
Agent(role="Strategy Expert",
goal="Develop optimal market strategy")
],
tasks=[
Task(description="Create detailed strategy based on analysis",
expected_output="Step-by-step action plan")
]
)
return strategy_crew.kickoff()
@listen(or_("medium_confidence", "low_confidence"))
def request_additional_analysis(self):
self.state.recommendations.append("Gather more data")
return "Additional analysis required"
```
This example demonstrates how to:
1. Use Python code for basic data operations
2. Create and execute Crews as steps in your workflow
3. Use Flow decorators to manage the sequence of operations
4. Implement conditional branching based on Crew results
## Connecting Your Crew to a Model
CrewAI supports using various LLMs through a variety of connection options. By default your agents will use the OpenAI API when querying the model. However, there are several other ways to allow your agents to connect to models. For example, you can configure your agents to use a local model via the Ollama tool.
Please refer to the [Connect CrewAI to LLMs](https://docs.crewai.com/how-to/LLM-Connections/) page for details on configuring your agents' connections to models.
## How CrewAI Compares
**CrewAI's Advantage**: CrewAI combines autonomous agent intelligence with precise workflow control through its unique Crews and Flows architecture. The framework excels at both high-level orchestration and low-level customization, enabling complex, production-grade systems with granular control.
- **LangGraph**: While LangGraph provides a foundation for building agent workflows, its approach requires significant boilerplate code and complex state management patterns. The framework's tight coupling with LangChain can limit flexibility when implementing custom agent behaviors or integrating with external systems.
*P.S. CrewAI demonstrates significant performance advantages over LangGraph, executing 5.76x faster in certain cases like this QA task example ([see comparison](https://github.com/crewAIInc/crewAI-examples/tree/main/Notebooks/CrewAI%20Flows%20%26%20Langgraph/QA%20Agent)) while achieving higher evaluation scores with faster completion times in certain coding tasks, like in this example ([detailed analysis](https://github.com/crewAIInc/crewAI-examples/blob/main/Notebooks/CrewAI%20Flows%20%26%20Langgraph/Coding%20Assistant/coding_assistant_eval.ipynb)).*
- **Autogen**: While Autogen excels at creating conversational agents capable of working together, it lacks an inherent concept of process. In Autogen, orchestrating agents' interactions requires additional programming, which can become complex and cumbersome as the scale of tasks grows.
- **ChatDev**: ChatDev introduced the idea of processes into the realm of AI agents, but its implementation is quite rigid. Customizations in ChatDev are limited and not geared towards production environments, which can hinder scalability and flexibility in real-world applications.
## Contribution
CrewAI is open-source and we welcome contributions. If you're looking to contribute, please:
- Fork the repository.
- Create a new branch for your feature.
- Add your feature or improvement.
- Send a pull request.
- We appreciate your input!
### Installing Dependencies
```bash
uv lock
uv sync
```
### Virtual Env
```bash
uv venv
```
### Pre-commit hooks
```bash
pre-commit install
```
### Running Tests
```bash
uv run pytest .
```
### Running static type checks
```bash
uvx mypy src
```
### Packaging
```bash
uv build
```
### Installing Locally
```bash
pip install dist/*.tar.gz
```
## Telemetry
CrewAI uses anonymous telemetry to collect usage data with the main purpose of helping us improve the library by focusing our efforts on the most used features, integrations and tools.
It's pivotal to understand that **NO data is collected** concerning prompts, task descriptions, agents' backstories or goals, usage of tools, API calls, responses, any data processed by the agents, or secrets and environment variables, with the exception of the conditions mentioned. When the `share_crew` feature is enabled, detailed data including task descriptions, agents' backstories or goals, and other specific attributes are collected to provide deeper insights while respecting user privacy. Users can disable telemetry by setting the environment variable OTEL_SDK_DISABLED to true.
Data collected includes:
- Version of CrewAI
- So we can understand how many users are using the latest version
- Version of Python
- So we can decide on what versions to better support
- General OS (e.g. number of CPUs, macOS/Windows/Linux)
- So we know what OS we should focus on and if we could build specific OS related features
- Number of agents and tasks in a crew
- So we make sure we are testing internally with similar use cases and educate people on the best practices
- Crew Process being used
- Understand where we should focus our efforts
- If Agents are using memory or allowing delegation
- Understand if we improved the features or maybe even drop them
- If Tasks are being executed in parallel or sequentially
- Understand if we should focus more on parallel execution
- Language model being used
- Improved support on most used languages
- Roles of agents in a crew
- Understand high level use cases so we can build better tools, integrations and examples about it
- Tools names available
- Understand out of the publicly available tools, which ones are being used the most so we can improve them
Users can opt-in to Further Telemetry, sharing the complete telemetry data by setting the `share_crew` attribute to `True` on their Crews. Enabling `share_crew` results in the collection of detailed crew and task execution data, including `goal`, `backstory`, `context`, and `output` of tasks. This enables a deeper insight into usage patterns while respecting the user's choice to share.
## License
CrewAI is released under the [MIT License](https://github.com/crewAIInc/crewAI/blob/main/LICENSE).
## Frequently Asked Questions (FAQ)
### General
- [What exactly is CrewAI?](#q-what-exactly-is-crewai)
- [How do I install CrewAI?](#q-how-do-i-install-crewai)
- [Does CrewAI depend on LangChain?](#q-does-crewai-depend-on-langchain)
- [Is CrewAI open-source?](#q-is-crewai-open-source)
- [Does CrewAI collect data from users?](#q-does-crewai-collect-data-from-users)
### Features and Capabilities
- [Can CrewAI handle complex use cases?](#q-can-crewai-handle-complex-use-cases)
- [Can I use CrewAI with local AI models?](#q-can-i-use-crewai-with-local-ai-models)
- [What makes Crews different from Flows?](#q-what-makes-crews-different-from-flows)
- [How is CrewAI better than LangChain?](#q-how-is-crewai-better-than-langchain)
- [Does CrewAI support fine-tuning or training custom models?](#q-does-crewai-support-fine-tuning-or-training-custom-models)
### Resources and Community
- [Where can I find real-world CrewAI examples?](#q-where-can-i-find-real-world-crewai-examples)
- [How can I contribute to CrewAI?](#q-how-can-i-contribute-to-crewai)
### Enterprise Features
- [What additional features does CrewAI Enterprise offer?](#q-what-additional-features-does-crewai-enterprise-offer)
- [Is CrewAI Enterprise available for cloud and on-premise deployments?](#q-is-crewai-enterprise-available-for-cloud-and-on-premise-deployments)
- [Can I try CrewAI Enterprise for free?](#q-can-i-try-crewai-enterprise-for-free)
### Q: What exactly is CrewAI?
A: CrewAI is a standalone, lean, and fast Python framework built specifically for orchestrating autonomous AI agents. Unlike frameworks like LangChain, CrewAI does not rely on external dependencies, making it leaner, faster, and simpler.
### Q: How do I install CrewAI?
A: Install CrewAI using pip:
```shell
pip install crewai
```
For additional tools, use:
```shell
pip install 'crewai[tools]'
```
### Q: Does CrewAI depend on LangChain?
A: No. CrewAI is built entirely from the ground up, with no dependencies on LangChain or other agent frameworks. This ensures a lean, fast, and flexible experience.
### Q: Can CrewAI handle complex use cases?
A: Yes. CrewAI excels at both simple and highly complex real-world scenarios, offering deep customization options at both high and low levels, from internal prompts to sophisticated workflow orchestration.
### Q: Can I use CrewAI with local AI models?
A: Absolutely! CrewAI supports various language models, including local ones. Tools like Ollama and LM Studio allow seamless integration. Check the [LLM Connections documentation](https://docs.crewai.com/how-to/LLM-Connections/) for more details.
### Q: What makes Crews different from Flows?
A: Crews provide autonomous agent collaboration, ideal for tasks requiring flexible decision-making and dynamic interaction. Flows offer precise, event-driven control, ideal for managing detailed execution paths and secure state management. You can seamlessly combine both for maximum effectiveness.
### Q: How is CrewAI better than LangChain?
A: CrewAI provides simpler, more intuitive APIs, faster execution speeds, more reliable and consistent results, robust documentation, and an active community—addressing common criticisms and limitations associated with LangChain.
### Q: Is CrewAI open-source?
A: Yes, CrewAI is open-source and actively encourages community contributions and collaboration.
### Q: Does CrewAI collect data from users?
A: CrewAI collects anonymous telemetry data strictly for improvement purposes. Sensitive data such as prompts, tasks, or API responses are never collected unless explicitly enabled by the user.
### Q: Where can I find real-world CrewAI examples?
A: Check out practical examples in the [CrewAI-examples repository](https://github.com/crewAIInc/crewAI-examples), covering use cases like trip planners, stock analysis, and job postings.
### Q: How can I contribute to CrewAI?
A: Contributions are warmly welcomed! Fork the repository, create your branch, implement your changes, and submit a pull request. See the Contribution section of the README for detailed guidelines.
### Q: What additional features does CrewAI Enterprise offer?
A: CrewAI Enterprise provides advanced features such as a unified control plane, real-time observability, secure integrations, advanced security, actionable insights, and dedicated 24/7 enterprise support.
### Q: Is CrewAI Enterprise available for cloud and on-premise deployments?
A: Yes, CrewAI Enterprise supports both cloud-based and on-premise deployment options, allowing enterprises to meet their specific security and compliance requirements.
### Q: Can I try CrewAI Enterprise for free?
A: Yes, you can explore part of the CrewAI Enterprise Suite by accessing the [Crew Control Plane](https://app.crewai.com) for free.
### Q: Does CrewAI support fine-tuning or training custom models?
A: Yes, CrewAI can integrate with custom-trained or fine-tuned models, allowing you to enhance your agents with domain-specific knowledge and accuracy.
### Q: Can CrewAI agents interact with external tools and APIs?
A: Absolutely! CrewAI agents can easily integrate with external tools, APIs, and databases, empowering them to leverage real-world data and resources.
### Q: Is CrewAI suitable for production environments?
A: Yes, CrewAI is explicitly designed with production-grade standards, ensuring reliability, stability, and scalability for enterprise deployments.
### Q: How scalable is CrewAI?
A: CrewAI is highly scalable, supporting simple automations and large-scale enterprise workflows involving numerous agents and complex tasks simultaneously.
### Q: Does CrewAI offer debugging and monitoring tools?
A: Yes, CrewAI Enterprise includes advanced debugging, tracing, and real-time observability features, simplifying the management and troubleshooting of your automations.
### Q: What programming languages does CrewAI support?
A: CrewAI is primarily Python-based but easily integrates with services and APIs written in any programming language through its flexible API integration capabilities.
### Q: Does CrewAI offer educational resources for beginners?
A: Yes, CrewAI provides extensive beginner-friendly tutorials, courses, and documentation through learn.crewai.com, supporting developers at all skill levels.
### Q: Can CrewAI automate human-in-the-loop workflows?
A: Yes, CrewAI fully supports human-in-the-loop workflows, allowing seamless collaboration between human experts and AI agents for enhanced decision-making.
@@ -2,7 +2,6 @@
title: "Introduction"
description: "Complete reference for the CrewAI Enterprise REST API"
icon: "code"
mode: "wide"
---
# CrewAI Enterprise API
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/*!
* Lunr languages, `Danish` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.da=function(){this.pipeline.reset(),this.pipeline.add(e.da.trimmer,e.da.stopWordFilter,e.da.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.da.stemmer))},e.da.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.da.trimmer=e.trimmerSupport.generateTrimmer(e.da.wordCharacters),e.Pipeline.registerFunction(e.da.trimmer,"trimmer-da"),e.da.stemmer=function(){var r=e.stemmerSupport.Among,i=e.stemmerSupport.SnowballProgram,n=new function(){function e(){var e,r=f.cursor+3;if(d=f.limit,0<=r&&r<=f.limit){for(a=r;;){if(e=f.cursor,f.in_grouping(w,97,248)){f.cursor=e;break}if(f.cursor=e,e>=f.limit)return;f.cursor++}for(;!f.out_grouping(w,97,248);){if(f.cursor>=f.limit)return;f.cursor++}d=f.cursor,d<a&&(d=a)}}function n(){var e,r;if(f.cursor>=d&&(r=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,e=f.find_among_b(c,32),f.limit_backward=r,e))switch(f.bra=f.cursor,e){case 1:f.slice_del();break;case 2:f.in_grouping_b(p,97,229)&&f.slice_del()}}function t(){var e,r=f.limit-f.cursor;f.cursor>=d&&(e=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,f.find_among_b(l,4)?(f.bra=f.cursor,f.limit_backward=e,f.cursor=f.limit-r,f.cursor>f.limit_backward&&(f.cursor--,f.bra=f.cursor,f.slice_del())):f.limit_backward=e)}function s(){var e,r,i,n=f.limit-f.cursor;if(f.ket=f.cursor,f.eq_s_b(2,"st")&&(f.bra=f.cursor,f.eq_s_b(2,"ig")&&f.slice_del()),f.cursor=f.limit-n,f.cursor>=d&&(r=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,e=f.find_among_b(m,5),f.limit_backward=r,e))switch(f.bra=f.cursor,e){case 1:f.slice_del(),i=f.limit-f.cursor,t(),f.cursor=f.limit-i;break;case 2:f.slice_from("løs")}}function o(){var e;f.cursor>=d&&(e=f.limit_backward,f.limit_backward=d,f.ket=f.cursor,f.out_grouping_b(w,97,248)?(f.bra=f.cursor,u=f.slice_to(u),f.limit_backward=e,f.eq_v_b(u)&&f.slice_del()):f.limit_backward=e)}var a,d,u,c=[new r("hed",-1,1),new r("ethed",0,1),new r("ered",-1,1),new r("e",-1,1),new r("erede",3,1),new r("ende",3,1),new r("erende",5,1),new r("ene",3,1),new r("erne",3,1),new r("ere",3,1),new r("en",-1,1),new r("heden",10,1),new r("eren",10,1),new r("er",-1,1),new r("heder",13,1),new r("erer",13,1),new r("s",-1,2),new r("heds",16,1),new r("es",16,1),new r("endes",18,1),new r("erendes",19,1),new r("enes",18,1),new r("ernes",18,1),new r("eres",18,1),new r("ens",16,1),new r("hedens",24,1),new r("erens",24,1),new r("ers",16,1),new r("ets",16,1),new r("erets",28,1),new r("et",-1,1),new r("eret",30,1)],l=[new r("gd",-1,-1),new r("dt",-1,-1),new r("gt",-1,-1),new r("kt",-1,-1)],m=[new r("ig",-1,1),new r("lig",0,1),new r("elig",1,1),new r("els",-1,1),new r("løst",-1,2)],w=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,48,0,128],p=[239,254,42,3,0,0,0,0,0,0,0,0,0,0,0,0,16],f=new i;this.setCurrent=function(e){f.setCurrent(e)},this.getCurrent=function(){return f.getCurrent()},this.stem=function(){var r=f.cursor;return e(),f.limit_backward=r,f.cursor=f.limit,n(),f.cursor=f.limit,t(),f.cursor=f.limit,s(),f.cursor=f.limit,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return n.setCurrent(e),n.stem(),n.getCurrent()}):(n.setCurrent(e),n.stem(),n.getCurrent())}}(),e.Pipeline.registerFunction(e.da.stemmer,"stemmer-da"),e.da.stopWordFilter=e.generateStopWordFilter("ad af alle alt anden at blev blive bliver da de dem den denne der deres det dette dig din disse dog du efter eller en end er et for fra ham han hans har havde have hende hendes her hos hun hvad hvis hvor i ikke ind jeg jer jo kunne man mange med meget men mig min mine mit mod ned noget nogle nu når og også om op os over på selv sig sin sine sit skal skulle som sådan thi til ud under var vi vil ville vor være været".split(" ")),e.Pipeline.registerFunction(e.da.stopWordFilter,"stopWordFilter-da")}});
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/*!
* Lunr languages, `German` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.de=function(){this.pipeline.reset(),this.pipeline.add(e.de.trimmer,e.de.stopWordFilter,e.de.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.de.stemmer))},e.de.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.de.trimmer=e.trimmerSupport.generateTrimmer(e.de.wordCharacters),e.Pipeline.registerFunction(e.de.trimmer,"trimmer-de"),e.de.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(e,r,n){return!(!v.eq_s(1,e)||(v.ket=v.cursor,!v.in_grouping(p,97,252)))&&(v.slice_from(r),v.cursor=n,!0)}function i(){for(var r,n,i,s,t=v.cursor;;)if(r=v.cursor,v.bra=r,v.eq_s(1,"ß"))v.ket=v.cursor,v.slice_from("ss");else{if(r>=v.limit)break;v.cursor=r+1}for(v.cursor=t;;)for(n=v.cursor;;){if(i=v.cursor,v.in_grouping(p,97,252)){if(s=v.cursor,v.bra=s,e("u","U",i))break;if(v.cursor=s,e("y","Y",i))break}if(i>=v.limit)return void(v.cursor=n);v.cursor=i+1}}function s(){for(;!v.in_grouping(p,97,252);){if(v.cursor>=v.limit)return!0;v.cursor++}for(;!v.out_grouping(p,97,252);){if(v.cursor>=v.limit)return!0;v.cursor++}return!1}function t(){m=v.limit,l=m;var e=v.cursor+3;0<=e&&e<=v.limit&&(d=e,s()||(m=v.cursor,m<d&&(m=d),s()||(l=v.cursor)))}function o(){for(var e,r;;){if(r=v.cursor,v.bra=r,!(e=v.find_among(h,6)))return;switch(v.ket=v.cursor,e){case 1:v.slice_from("y");break;case 2:case 5:v.slice_from("u");break;case 3:v.slice_from("a");break;case 4:v.slice_from("o");break;case 6:if(v.cursor>=v.limit)return;v.cursor++}}}function c(){return m<=v.cursor}function u(){return l<=v.cursor}function a(){var e,r,n,i,s=v.limit-v.cursor;if(v.ket=v.cursor,(e=v.find_among_b(w,7))&&(v.bra=v.cursor,c()))switch(e){case 1:v.slice_del();break;case 2:v.slice_del(),v.ket=v.cursor,v.eq_s_b(1,"s")&&(v.bra=v.cursor,v.eq_s_b(3,"nis")&&v.slice_del());break;case 3:v.in_grouping_b(g,98,116)&&v.slice_del()}if(v.cursor=v.limit-s,v.ket=v.cursor,(e=v.find_among_b(f,4))&&(v.bra=v.cursor,c()))switch(e){case 1:v.slice_del();break;case 2:if(v.in_grouping_b(k,98,116)){var t=v.cursor-3;v.limit_backward<=t&&t<=v.limit&&(v.cursor=t,v.slice_del())}}if(v.cursor=v.limit-s,v.ket=v.cursor,(e=v.find_among_b(_,8))&&(v.bra=v.cursor,u()))switch(e){case 1:v.slice_del(),v.ket=v.cursor,v.eq_s_b(2,"ig")&&(v.bra=v.cursor,r=v.limit-v.cursor,v.eq_s_b(1,"e")||(v.cursor=v.limit-r,u()&&v.slice_del()));break;case 2:n=v.limit-v.cursor,v.eq_s_b(1,"e")||(v.cursor=v.limit-n,v.slice_del());break;case 3:if(v.slice_del(),v.ket=v.cursor,i=v.limit-v.cursor,!v.eq_s_b(2,"er")&&(v.cursor=v.limit-i,!v.eq_s_b(2,"en")))break;v.bra=v.cursor,c()&&v.slice_del();break;case 4:v.slice_del(),v.ket=v.cursor,e=v.find_among_b(b,2),e&&(v.bra=v.cursor,u()&&1==e&&v.slice_del())}}var d,l,m,h=[new r("",-1,6),new r("U",0,2),new r("Y",0,1),new r("ä",0,3),new r("ö",0,4),new r("ü",0,5)],w=[new r("e",-1,2),new r("em",-1,1),new r("en",-1,2),new r("ern",-1,1),new r("er",-1,1),new r("s",-1,3),new r("es",5,2)],f=[new r("en",-1,1),new r("er",-1,1),new r("st",-1,2),new r("est",2,1)],b=[new r("ig",-1,1),new r("lich",-1,1)],_=[new r("end",-1,1),new r("ig",-1,2),new r("ung",-1,1),new r("lich",-1,3),new r("isch",-1,2),new r("ik",-1,2),new r("heit",-1,3),new r("keit",-1,4)],p=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,8,0,32,8],g=[117,30,5],k=[117,30,4],v=new n;this.setCurrent=function(e){v.setCurrent(e)},this.getCurrent=function(){return v.getCurrent()},this.stem=function(){var e=v.cursor;return i(),v.cursor=e,t(),v.limit_backward=e,v.cursor=v.limit,a(),v.cursor=v.limit_backward,o(),!0}};return function(e){return"function"==typeof e.update?e.update(function(e){return i.setCurrent(e),i.stem(),i.getCurrent()}):(i.setCurrent(e),i.stem(),i.getCurrent())}}(),e.Pipeline.registerFunction(e.de.stemmer,"stemmer-de"),e.de.stopWordFilter=e.generateStopWordFilter("aber alle allem allen aller alles als also am an ander andere anderem anderen anderer anderes anderm andern anderr anders auch auf aus bei bin bis bist da damit dann das dasselbe dazu daß dein deine deinem deinen deiner deines dem demselben den denn denselben der derer derselbe derselben des desselben dessen dich die dies diese dieselbe dieselben diesem diesen dieser dieses dir doch dort du durch ein eine einem einen einer eines einig einige einigem einigen einiger einiges einmal er es etwas euch euer eure eurem euren eurer eures für gegen gewesen hab habe haben hat hatte hatten hier hin hinter ich ihm ihn ihnen ihr ihre ihrem ihren ihrer ihres im in indemLine truncated
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/*!
* Lunr languages, `Dutch` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");console.warn('[Lunr Languages] Please use the "nl" instead of the "du". The "nl" code is the standard code for Dutch language, and "du" will be removed in the next major versions.'),e.du=function(){this.pipeline.reset(),this.pipeline.add(e.du.trimmer,e.du.stopWordFilter,e.du.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.du.stemmer))},e.du.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.du.trimmer=e.trimmerSupport.generateTrimmer(e.du.wordCharacters),e.Pipeline.registerFunction(e.du.trimmer,"trimmer-du"),e.du.stemmer=function(){var r=e.stemmerSupport.Among,i=e.stemmerSupport.SnowballProgram,n=new function(){function e(){for(var e,r,i,o=C.cursor;;){if(C.bra=C.cursor,e=C.find_among(b,11))switch(C.ket=C.cursor,e){case 1:C.slice_from("a");continue;case 2:C.slice_from("e");continue;case 3:C.slice_from("i");continue;case 4:C.slice_from("o");continue;case 5:C.slice_from("u");continue;case 6:if(C.cursor>=C.limit)break;C.cursor++;continue}break}for(C.cursor=o,C.bra=o,C.eq_s(1,"y")?(C.ket=C.cursor,C.slice_from("Y")):C.cursor=o;;)if(r=C.cursor,C.in_grouping(q,97,232)){if(i=C.cursor,C.bra=i,C.eq_s(1,"i"))C.ket=C.cursor,C.in_grouping(q,97,232)&&(C.slice_from("I"),C.cursor=r);else if(C.cursor=i,C.eq_s(1,"y"))C.ket=C.cursor,C.slice_from("Y"),C.cursor=r;else if(n(r))break}else if(n(r))break}function n(e){return C.cursor=e,e>=C.limit||(C.cursor++,!1)}function o(){_=C.limit,f=_,t()||(_=C.cursor,_<3&&(_=3),t()||(f=C.cursor))}function t(){for(;!C.in_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}for(;!C.out_grouping(q,97,232);){if(C.cursor>=C.limit)return!0;C.cursor++}return!1}function s(){for(var e;;)if(C.bra=C.cursor,e=C.find_among(p,3))switch(C.ket=C.cursor,e){case 1:C.slice_from("y");break;case 2:C.slice_from("i");break;case 3:if(C.cursor>=C.limit)return;C.cursor++}}function u(){return _<=C.cursor}function c(){return f<=C.cursor}function a(){var e=C.limit-C.cursor;C.find_among_b(g,3)&&(C.cursor=C.limit-e,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del()))}function l(){var e;w=!1,C.ket=C.cursor,C.eq_s_b(1,"e")&&(C.bra=C.cursor,u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.slice_del(),w=!0,a())))}function m(){var e;u()&&(e=C.limit-C.cursor,C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-e,C.eq_s_b(3,"gem")||(C.cursor=C.limit-e,C.slice_del(),a())))}function d(){var e,r,i,n,o,t,s=C.limit-C.cursor;if(C.ket=C.cursor,e=C.find_among_b(h,5))switch(C.bra=C.cursor,e){case 1:u()&&C.slice_from("heid");break;case 2:m();break;case 3:u()&&C.out_grouping_b(z,97,232)&&C.slice_del()}if(C.cursor=C.limit-s,l(),C.cursor=C.limit-s,C.ket=C.cursor,C.eq_s_b(4,"heid")&&(C.bra=C.cursor,c()&&(r=C.limit-C.cursor,C.eq_s_b(1,"c")||(C.cursor=C.limit-r,C.slice_del(),C.ket=C.cursor,C.eq_s_b(2,"en")&&(C.bra=C.cursor,m())))),C.cursor=C.limit-s,C.ket=C.cursor,e=C.find_among_b(k,6))switch(C.bra=C.cursor,e){case 1:if(c()){if(C.slice_del(),i=C.limit-C.cursor,C.ket=C.cursor,C.eq_s_b(2,"ig")&&(C.bra=C.cursor,c()&&(n=C.limit-C.cursor,!C.eq_s_b(1,"e")))){C.cursor=C.limit-n,C.slice_del();break}C.cursor=C.limit-i,a()}break;case 2:c()&&(o=C.limit-C.cursor,C.eq_s_b(1,"e")||(C.cursor=C.limit-o,C.slice_del()));break;case 3:c()&&(C.slice_del(),l());break;case 4:c()&&C.slice_del();break;case 5:c()&&w&&C.slice_del()}C.cursor=C.limit-s,C.out_grouping_b(j,73,232)&&(t=C.limit-C.cursor,C.find_among_b(v,4)&&C.out_grouping_b(q,97,232)&&(C.cursor=C.limit-t,C.ket=C.cursor,C.cursor>C.limit_backward&&(C.cursor--,C.bra=C.cursor,C.slice_del())))}var f,_,w,b=[new r("",-1,6),new r("á",0,1),new r("ä",0,1),new r("é",0,2),new r("ë",0,2),new r("í",0,3),new r("ï",0,3),new r("ó",0,4),new r("ö",0,4),new r("ú",0,5),new r("ü",0,5)],p=[new r("",-1,3),new r("I",0,2),new r("Y",0,1)],g=[new r("dd",-1,-1),new r("kk",-1,-1),new r("tt",-1,-1)],h=[new r("ene",-1,2),new r("se",-1,3),new r("en",-1,2),new r("heden",2,1),new r("s",-1,3)],k=[new r("end",-1,1),new r("ig",-1,2),new r("ing",-1,1),new r("lijk",-1,3),new r("baar",-1,4),new r("bar",-1,5)],v=[new r("aa",-1,-1),new r("ee",-1,-1),new r("oo",-1,-1),new r("uu",-1,-1)],q=[17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],j=[1,0,0,17,65,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],z=[17,67,16,1,0,0,0,0,0,0,0,0,0,0,0,0,128],C=new i;this.setCurrent=function(e){C.setCurrent(e)},this.getCurrent=function(){return C.getCurrent()},this.stem=function(){var r=C.cursor;return e(),C.cursor=r,o(),C.limit_backward=r,C.cursoLine truncated
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!function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():t()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.el=function(){this.pipeline.reset(),void 0===this.searchPipeline&&this.pipeline.add(e.el.trimmer,e.el.normilizer),this.pipeline.add(e.el.stopWordFilter,e.el.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.el.stemmer))},e.el.wordCharacters="A-Za-zΑαΒβΓγΔδΕεΖζΗηΘθΙιΚκΛλΜμΝνΞξΟοΠπΡρΣσςΤτΥυΦφΧχΨψΩωΆάΈέΉήΊίΌόΎύΏώΪΐΫΰΐΰ",e.el.trimmer=e.trimmerSupport.generateTrimmer(e.el.wordCharacters),e.Pipeline.registerFunction(e.el.trimmer,"trimmer-el"),e.el.stemmer=function(){function e(e){return s.test(e)}function t(e){return/[ΑΕΗΙΟΥΩ]$/.test(e)}function r(e){return/[ΑΕΗΙΟΩ]$/.test(e)}function n(n){var s=n;if(n.length<3)return s;if(!e(n))return s;if(i.indexOf(n)>=0)return s;var u=new RegExp("(.*)("+Object.keys(l).join("|")+")$"),o=u.exec(s);return null!==o&&(s=o[1]+l[o[2]]),null!==(o=/^(.+?)(ΑΔΕΣ|ΑΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΚ|ΜΑΜ|ΜΑΝ|ΜΠΑΜΠ|ΠΑΤΕΡ|ΓΙΑΓΙ|ΝΤΑΝΤ|ΚΥΡ|ΘΕΙ|ΠΕΘΕΡ|ΜΟΥΣΑΜ|ΚΑΠΛΑΜ|ΠΑΡ|ΨΑΡ|ΤΖΟΥΡ|ΤΑΜΠΟΥΡ|ΓΑΛΑΤ|ΦΑΦΛΑΤ)$/.test(o[1])||(s+="ΑΔ")),null!==(o=/^(.+?)(ΕΔΕΣ|ΕΔΩΝ)$/.exec(s))&&(s=o[1],/(ΟΠ|ΙΠ|ΕΜΠ|ΥΠ|ΓΗΠ|ΔΑΠ|ΚΡΑΣΠ|ΜΙΛ)$/.test(o[1])&&(s+="ΕΔ")),null!==(o=/^(.+?)(ΟΥΔΕΣ|ΟΥΔΩΝ)$/.exec(s))&&(s=o[1],/(ΑΡΚ|ΚΑΛΙΑΚ|ΠΕΤΑΛ|ΛΙΧ|ΠΛΕΞ|ΣΚ|Σ|ΦΛ|ΦΡ|ΒΕΛ|ΛΟΥΛ|ΧΝ|ΣΠ|ΤΡΑΓ|ΦΕ)$/.test(o[1])&&(s+="ΟΥΔ")),null!==(o=/^(.+?)(ΕΩΣ|ΕΩΝ|ΕΑΣ|ΕΑ)$/.exec(s))&&(s=o[1],/^(Θ|Δ|ΕΛ|ΓΑΛ|Ν|Π|ΙΔ|ΠΑΡ|ΣΤΕΡ|ΟΡΦ|ΑΝΔΡ|ΑΝΤΡ)$/.test(o[1])&&(s+="Ε")),null!==(o=/^(.+?)(ΕΙΟ|ΕΙΟΣ|ΕΙΟΙ|ΕΙΑ|ΕΙΑΣ|ΕΙΕΣ|ΕΙΟΥ|ΕΙΟΥΣ|ΕΙΩΝ)$/.exec(s))&&o[1].length>4&&(s=o[1]),null!==(o=/^(.+?)(ΙΟΥΣ|ΙΑΣ|ΙΕΣ|ΙΟΣ|ΙΟΥ|ΙΟΙ|ΙΩΝ|ΙΟΝ|ΙΑ|ΙΟ)$/.exec(s))&&(s=o[1],(t(s)||s.length<2||/^(ΑΓ|ΑΓΓΕΛ|ΑΓΡ|ΑΕΡ|ΑΘΛ|ΑΚΟΥΣ|ΑΞ|ΑΣ|Β|ΒΙΒΛ|ΒΥΤ|Γ|ΓΙΑΓ|ΓΩΝ|Δ|ΔΑΝ|ΔΗΛ|ΔΗΜ|ΔΟΚΙΜ|ΕΛ|ΖΑΧΑΡ|ΗΛ|ΗΠ|ΙΔ|ΙΣΚ|ΙΣΤ|ΙΟΝ|ΙΩΝ|ΚΙΜΩΛ|ΚΟΛΟΝ|ΚΟΡ|ΚΤΗΡ|ΚΥΡ|ΛΑΓ|ΛΟΓ|ΜΑΓ|ΜΠΑΝ|ΜΠΡ|ΝΑΥΤ|ΝΟΤ|ΟΠΑΛ|ΟΞ|ΟΡ|ΟΣ|ΠΑΝΑΓ|ΠΑΤΡ|ΠΗΛ|ΠΗΝ|ΠΛΑΙΣ|ΠΟΝΤ|ΡΑΔ|ΡΟΔ|ΣΚ|ΣΚΟΡΠ|ΣΟΥΝ|ΣΠΑΝ|ΣΤΑΔ|ΣΥΡ|ΤΗΛ|ΤΙΜ|ΤΟΚ|ΤΟΠ|ΤΡΟΧ|ΦΙΛ|ΦΩΤ|Χ|ΧΙΛ|ΧΡΩΜ|ΧΩΡ)$/.test(o[1]))&&(s+="Ι"),/^(ΠΑΛ)$/.test(o[1])&&(s+="ΑΙ")),null!==(o=/^(.+?)(ΙΚΟΣ|ΙΚΟΝ|ΙΚΕΙΣ|ΙΚΟΙ|ΙΚΕΣ|ΙΚΟΥΣ|ΙΚΗ|ΙΚΗΣ|ΙΚΟ|ΙΚΑ|ΙΚΟΥ|ΙΚΩΝ|ΙΚΩΣ)$/.exec(s))&&(s=o[1],(t(s)||/^(ΑΔ|ΑΛ|ΑΜΑΝ|ΑΜΕΡ|ΑΜΜΟΧΑΛ|ΑΝΗΘ|ΑΝΤΙΔ|ΑΠΛ|ΑΤΤ|ΑΦΡ|ΒΑΣ|ΒΡΩΜ|ΓΕΝ|ΓΕΡ|Δ|ΔΙΚΑΝ|ΔΥΤ|ΕΙΔ|ΕΝΔ|ΕΞΩΔ|ΗΘ|ΘΕΤ|ΚΑΛΛΙΝ|ΚΑΛΠ|ΚΑΤΑΔ|ΚΟΥΖΙΝ|ΚΡ|ΚΩΔ|ΛΟΓ|Μ|ΜΕΡ|ΜΟΝΑΔ|ΜΟΥΛ|ΜΟΥΣ|ΜΠΑΓΙΑΤ|ΜΠΑΝ|ΜΠΟΛ|ΜΠΟΣ|ΜΥΣΤ|Ν|ΝΙΤ|ΞΙΚ|ΟΠΤ|ΠΑΝ|ΠΕΤΣ|ΠΙΚΑΝΤ|ΠΙΤΣ|ΠΛΑΣΤ|ΠΛΙΑΤΣ|ΠΟΝΤ|ΠΟΣΤΕΛΝ|ΠΡΩΤΟΔ|ΣΕΡΤ|ΣΗΜΑΝΤ|ΣΤΑΤ|ΣΥΝΑΔ|ΣΥΝΟΜΗΛ|ΤΕΛ|ΤΕΧΝ|ΤΡΟΠ|ΤΣΑΜ|ΥΠΟΔ|Φ|ΦΙΛΟΝ|ΦΥΛΟΔ|ΦΥΣ|ΧΑΣ)$/.test(o[1])||/(ΦΟΙΝ)$/.test(o[1]))&&(s+="ΙΚ")),"ΑΓΑΜΕ"===s&&(s="ΑΓΑΜ"),null!==(o=/^(.+?)(ΑΓΑΜΕ|ΗΣΑΜΕ|ΟΥΣΑΜΕ|ΗΚΑΜΕ|ΗΘΗΚΑΜΕ)$/.exec(s))&&(s=o[1]),null!==(o=/^(.+?)(ΑΜΕ)$/.exec(s))&&(s=o[1],/^(ΑΝΑΠ|ΑΠΟΘ|ΑΠΟΚ|ΑΠΟΣΤ|ΒΟΥΒ|ΞΕΘ|ΟΥΛ|ΠΕΘ|ΠΙΚΡ|ΠΟΤ|ΣΙΧ|Χ)$/.test(o[1])&&(s+="ΑΜ")),null!==(o=/^(.+?)(ΑΓΑΝΕ|ΗΣΑΝΕ|ΟΥΣΑΝΕ|ΙΟΝΤΑΝΕ|ΙΟΤΑΝΕ|ΙΟΥΝΤΑΝΕ|ΟΝΤΑΝΕ|ΟΤΑΝΕ|ΟΥΝΤΑΝΕ|ΗΚΑΝΕ|ΗΘΗΚΑΝΕ)$/.exec(s))&&(s=o[1],/^(ΤΡ|ΤΣ)$/.test(o[1])&&(s+="ΑΓΑΝ")),null!==(o=/^(.+?)(ΑΝΕ)$/.exec(s))&&(s=o[1],(r(s)||/^(ΒΕΤΕΡ|ΒΟΥΛΚ|ΒΡΑΧΜ|Γ|ΔΡΑΔΟΥΜ|Θ|ΚΑΛΠΟΥΖ|ΚΑΣΤΕΛ|ΚΟΡΜΟΡ|ΛΑΟΠΛ|ΜΩΑΜΕΘ|Μ|ΜΟΥΣΟΥΛΜΑΝ|ΟΥΛ|Π|ΠΕΛΕΚ|ΠΛ|ΠΟΛΙΣ|ΠΟΡΤΟΛ|ΣΑΡΑΚΑΤΣ|ΣΟΥΛΤ|ΤΣΑΡΛΑΤ|ΟΡΦ|ΤΣΙΓΓ|ΤΣΟΠ|ΦΩΤΟΣΤΕΦ|Χ|ΨΥΧΟΠΛ|ΑΓ|ΟΡΦ|ΓΑΛ|ΓΕΡ|ΔΕΚ|ΔΙΠΛ|ΑΜΕΡΙΚΑΝ|ΟΥΡ|ΠΙΘ|ΠΟΥΡΙΤ|Σ|ΖΩΝΤ|ΙΚ|ΚΑΣΤ|ΚΟΠ|ΛΙΧ|ΛΟΥΘΗΡ|ΜΑΙΝΤ|ΜΕΛ|ΣΙΓ|ΣΠ|ΣΤΕΓ|ΤΡΑΓ|ΤΣΑΓ|Φ|ΕΡ|ΑΔΑΠ|ΑΘΙΓΓ|ΑΜΗΧ|ΑΝΙΚ|ΑΝΟΡΓ|ΑΠΗΓ|ΑΠΙΘ|ΑΤΣΙΓΓ|ΒΑΣ|ΒΑΣΚ|ΒΑΘΥΓΑΛ|ΒΙΟΜΗΧ|ΒΡΑΧΥΚ|ΔΙΑΤ|ΔΙΑΦ|ΕΝΟΡΓ|ΘΥΣ|ΚΑΠΝΟΒΙΟΜΗΧ|ΚΑΤLine truncated
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/*!
* Lunr languages, `Spanish` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,s){"function"==typeof define&&define.amd?define(s):"object"==typeof exports?module.exports=s():s()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.es=function(){this.pipeline.reset(),this.pipeline.add(e.es.trimmer,e.es.stopWordFilter,e.es.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.es.stemmer))},e.es.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.es.trimmer=e.trimmerSupport.generateTrimmer(e.es.wordCharacters),e.Pipeline.registerFunction(e.es.trimmer,"trimmer-es"),e.es.stemmer=function(){var s=e.stemmerSupport.Among,r=e.stemmerSupport.SnowballProgram,n=new function(){function e(){if(A.out_grouping(x,97,252)){for(;!A.in_grouping(x,97,252);){if(A.cursor>=A.limit)return!0;A.cursor++}return!1}return!0}function n(){if(A.in_grouping(x,97,252)){var s=A.cursor;if(e()){if(A.cursor=s,!A.in_grouping(x,97,252))return!0;for(;!A.out_grouping(x,97,252);){if(A.cursor>=A.limit)return!0;A.cursor++}}return!1}return!0}function i(){var s,r=A.cursor;if(n()){if(A.cursor=r,!A.out_grouping(x,97,252))return;if(s=A.cursor,e()){if(A.cursor=s,!A.in_grouping(x,97,252)||A.cursor>=A.limit)return;A.cursor++}}g=A.cursor}function a(){for(;!A.in_grouping(x,97,252);){if(A.cursor>=A.limit)return!1;A.cursor++}for(;!A.out_grouping(x,97,252);){if(A.cursor>=A.limit)return!1;A.cursor++}return!0}function t(){var e=A.cursor;g=A.limit,p=g,v=g,i(),A.cursor=e,a()&&(p=A.cursor,a()&&(v=A.cursor))}function o(){for(var e;;){if(A.bra=A.cursor,e=A.find_among(k,6))switch(A.ket=A.cursor,e){case 1:A.slice_from("a");continue;case 2:A.slice_from("e");continue;case 3:A.slice_from("i");continue;case 4:A.slice_from("o");continue;case 5:A.slice_from("u");continue;case 6:if(A.cursor>=A.limit)break;A.cursor++;continue}break}}function u(){return g<=A.cursor}function w(){return p<=A.cursor}function c(){return v<=A.cursor}function m(){var e;if(A.ket=A.cursor,A.find_among_b(y,13)&&(A.bra=A.cursor,(e=A.find_among_b(q,11))&&u()))switch(e){case 1:A.bra=A.cursor,A.slice_from("iendo");break;case 2:A.bra=A.cursor,A.slice_from("ando");break;case 3:A.bra=A.cursor,A.slice_from("ar");break;case 4:A.bra=A.cursor,A.slice_from("er");break;case 5:A.bra=A.cursor,A.slice_from("ir");break;case 6:A.slice_del();break;case 7:A.eq_s_b(1,"u")&&A.slice_del()}}function l(e,s){if(!c())return!0;A.slice_del(),A.ket=A.cursor;var r=A.find_among_b(e,s);return r&&(A.bra=A.cursor,1==r&&c()&&A.slice_del()),!1}function d(e){return!c()||(A.slice_del(),A.ket=A.cursor,A.eq_s_b(2,e)&&(A.bra=A.cursor,c()&&A.slice_del()),!1)}function b(){var e;if(A.ket=A.cursor,e=A.find_among_b(S,46)){switch(A.bra=A.cursor,e){case 1:if(!c())return!1;A.slice_del();break;case 2:if(d("ic"))return!1;break;case 3:if(!c())return!1;A.slice_from("log");break;case 4:if(!c())return!1;A.slice_from("u");break;case 5:if(!c())return!1;A.slice_from("ente");break;case 6:if(!w())return!1;A.slice_del(),A.ket=A.cursor,e=A.find_among_b(C,4),e&&(A.bra=A.cursor,c()&&(A.slice_del(),1==e&&(A.ket=A.cursor,A.eq_s_b(2,"at")&&(A.bra=A.cursor,c()&&A.slice_del()))));break;case 7:if(l(P,3))return!1;break;case 8:if(l(F,3))return!1;break;case 9:if(d("at"))return!1}return!0}return!1}function f(){var e,s;if(A.cursor>=g&&(s=A.limit_backward,A.limit_backward=g,A.ket=A.cursor,e=A.find_among_b(W,12),A.limit_backward=s,e)){if(A.bra=A.cursor,1==e){if(!A.eq_s_b(1,"u"))return!1;A.slice_del()}return!0}return!1}function _(){var e,s,r,n;if(A.cursor>=g&&(s=A.limit_backward,A.limit_backward=g,A.ket=A.cursor,e=A.find_among_b(L,96),A.limit_backward=s,e))switch(A.bra=A.cursor,e){case 1:r=A.limit-A.cursor,A.eq_s_b(1,"u")?(n=A.limit-A.cursor,A.eq_s_b(1,"g")?A.cursor=A.limit-n:A.cursor=A.limit-r):A.cursor=A.limit-r,A.bra=A.cursor;case 2:A.slice_del()}}function h(){var e,s;if(A.ket=A.cursor,e=A.find_among_b(z,8))switch(A.bra=A.cursor,e){case 1:u()&&A.slice_del();break;case 2:u()&&(A.slice_del(),A.ket=A.cursor,A.eq_s_b(1,"u")&&(A.bra=A.cursor,s=A.limit-A.cursor,A.eq_s_b(1,"g")&&(A.cursor=A.limit-s,u()&&A.slice_del())))}}var v,p,g,k=[new s("",-1,6),new s("á",0,1),new s("é",0,2),new s("í",0,3),new s("ó",0,4),new s("ú",0,5)],y=[new s("la",-1,-1),new s("sela",0,-1),new s("le",-1,-1),new s("me",-1,-1),new s("se",-1,-1),new s("lo",-1,-1),new s("selo",5,-1),new s("las",-1,-1),new s("selas",7,-1),new s("les",-1,-1),new s("los",-1,-1),new s("selos",10,-1),new s("nos",-1,-1)],q=[new s("ando",-1,6),new s("iendo",-1,6),new s("yendo",-1,7),new s("ándo",-1,2),new s("iéndo",-1,1),new s("ar",-1,6),new s("er",-1,6),new s("ir",-1,6),new s("ár",-1,3),new s("ér",-1,4),new s("ír",-1,5)],C=[new s("ic",-1,-1),new s("ad",-1,-1),new s("os",-1,-1),new s("iLine truncated
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/*!
* Lunr languages, `Finnish` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(i,e){"function"==typeof define&&define.amd?define(e):"object"==typeof exports?module.exports=e():e()(i.lunr)}(this,function(){return function(i){if(void 0===i)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===i.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");i.fi=function(){this.pipeline.reset(),this.pipeline.add(i.fi.trimmer,i.fi.stopWordFilter,i.fi.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(i.fi.stemmer))},i.fi.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",i.fi.trimmer=i.trimmerSupport.generateTrimmer(i.fi.wordCharacters),i.Pipeline.registerFunction(i.fi.trimmer,"trimmer-fi"),i.fi.stemmer=function(){var e=i.stemmerSupport.Among,r=i.stemmerSupport.SnowballProgram,n=new function(){function i(){f=A.limit,d=f,n()||(f=A.cursor,n()||(d=A.cursor))}function n(){for(var i;;){if(i=A.cursor,A.in_grouping(W,97,246))break;if(A.cursor=i,i>=A.limit)return!0;A.cursor++}for(A.cursor=i;!A.out_grouping(W,97,246);){if(A.cursor>=A.limit)return!0;A.cursor++}return!1}function t(){return d<=A.cursor}function s(){var i,e;if(A.cursor>=f)if(e=A.limit_backward,A.limit_backward=f,A.ket=A.cursor,i=A.find_among_b(h,10)){switch(A.bra=A.cursor,A.limit_backward=e,i){case 1:if(!A.in_grouping_b(x,97,246))return;break;case 2:if(!t())return}A.slice_del()}else A.limit_backward=e}function o(){var i,e,r;if(A.cursor>=f)if(e=A.limit_backward,A.limit_backward=f,A.ket=A.cursor,i=A.find_among_b(v,9))switch(A.bra=A.cursor,A.limit_backward=e,i){case 1:r=A.limit-A.cursor,A.eq_s_b(1,"k")||(A.cursor=A.limit-r,A.slice_del());break;case 2:A.slice_del(),A.ket=A.cursor,A.eq_s_b(3,"kse")&&(A.bra=A.cursor,A.slice_from("ksi"));break;case 3:A.slice_del();break;case 4:A.find_among_b(p,6)&&A.slice_del();break;case 5:A.find_among_b(g,6)&&A.slice_del();break;case 6:A.find_among_b(j,2)&&A.slice_del()}else A.limit_backward=e}function l(){return A.find_among_b(q,7)}function a(){return A.eq_s_b(1,"i")&&A.in_grouping_b(L,97,246)}function u(){var i,e,r;if(A.cursor>=f)if(e=A.limit_backward,A.limit_backward=f,A.ket=A.cursor,i=A.find_among_b(C,30)){switch(A.bra=A.cursor,A.limit_backward=e,i){case 1:if(!A.eq_s_b(1,"a"))return;break;case 2:case 9:if(!A.eq_s_b(1,"e"))return;break;case 3:if(!A.eq_s_b(1,"i"))return;break;case 4:if(!A.eq_s_b(1,"o"))return;break;case 5:if(!A.eq_s_b(1,"ä"))return;break;case 6:if(!A.eq_s_b(1,"ö"))return;break;case 7:if(r=A.limit-A.cursor,!l()&&(A.cursor=A.limit-r,!A.eq_s_b(2,"ie"))){A.cursor=A.limit-r;break}if(A.cursor=A.limit-r,A.cursor<=A.limit_backward){A.cursor=A.limit-r;break}A.cursor--,A.bra=A.cursor;break;case 8:if(!A.in_grouping_b(W,97,246)||!A.out_grouping_b(W,97,246))return}A.slice_del(),k=!0}else A.limit_backward=e}function c(){var i,e,r;if(A.cursor>=d)if(e=A.limit_backward,A.limit_backward=d,A.ket=A.cursor,i=A.find_among_b(P,14)){if(A.bra=A.cursor,A.limit_backward=e,1==i){if(r=A.limit-A.cursor,A.eq_s_b(2,"po"))return;A.cursor=A.limit-r}A.slice_del()}else A.limit_backward=e}function m(){var i;A.cursor>=f&&(i=A.limit_backward,A.limit_backward=f,A.ket=A.cursor,A.find_among_b(F,2)?(A.bra=A.cursor,A.limit_backward=i,A.slice_del()):A.limit_backward=i)}function w(){var i,e,r,n,t,s;if(A.cursor>=f){if(e=A.limit_backward,A.limit_backward=f,A.ket=A.cursor,A.eq_s_b(1,"t")&&(A.bra=A.cursor,r=A.limit-A.cursor,A.in_grouping_b(W,97,246)&&(A.cursor=A.limit-r,A.slice_del(),A.limit_backward=e,n=A.limit-A.cursor,A.cursor>=d&&(A.cursor=d,t=A.limit_backward,A.limit_backward=A.cursor,A.cursor=A.limit-n,A.ket=A.cursor,i=A.find_among_b(S,2))))){if(A.bra=A.cursor,A.limit_backward=t,1==i){if(s=A.limit-A.cursor,A.eq_s_b(2,"po"))return;A.cursor=A.limit-s}return void A.slice_del()}A.limit_backward=e}}function _(){var i,e,r,n;if(A.cursor>=f){for(i=A.limit_backward,A.limit_backward=f,e=A.limit-A.cursor,l()&&(A.cursor=A.limit-e,A.ket=A.cursor,A.cursor>A.limit_backward&&(A.cursor--,A.bra=A.cursor,A.slice_del())),A.cursor=A.limit-e,A.ket=A.cursor,A.in_grouping_b(y,97,228)&&(A.bra=A.cursor,A.out_grouping_b(W,97,246)&&A.slice_del()),A.cursor=A.limit-e,A.ket=A.cursor,A.eq_s_b(1,"j")&&(A.bra=A.cursor,r=A.limit-A.cursor,A.eq_s_b(1,"o")?A.slice_del():(A.cursor=A.limit-r,A.eq_s_b(1,"u")&&A.slice_del())),A.cursor=A.limit-e,A.ket=A.cursor,A.eq_s_b(1,"o")&&(A.bra=A.cursor,A.eq_s_b(1,"j")&&A.slice_del()),A.cursor=A.limit-e,A.limit_backward=i;;){if(n=A.limit-A.cursor,A.out_grouping_b(W,97,246)){A.cursor=A.limit-n;break}if(A.cursor=A.limit-n,A.cursor<=A.limit_backward)return;A.cursor--}A.ket=A.cursor,A.cursor>A.limit_backward&&(A.cursor--,A.bra=A.cursor,b=A.slice_to(),A.eq_v_b(b)&&A.slice_del())}}var k,b,d,f,h=[new e("pa",-1,1),new e("sti",-1,2),new e("kaan",-1,1),new e("han",-1,1),new e("kin",-1,1),new e("hän",-1,1),new e("kään",-1,1),new e("ko",-1,Line truncated
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/*!
* Lunr languages, `French` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.fr=function(){this.pipeline.reset(),this.pipeline.add(e.fr.trimmer,e.fr.stopWordFilter,e.fr.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.fr.stemmer))},e.fr.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.fr.trimmer=e.trimmerSupport.generateTrimmer(e.fr.wordCharacters),e.Pipeline.registerFunction(e.fr.trimmer,"trimmer-fr"),e.fr.stemmer=function(){var r=e.stemmerSupport.Among,s=e.stemmerSupport.SnowballProgram,i=new function(){function e(e,r,s){return!(!W.eq_s(1,e)||(W.ket=W.cursor,!W.in_grouping(F,97,251)))&&(W.slice_from(r),W.cursor=s,!0)}function i(e,r,s){return!!W.eq_s(1,e)&&(W.ket=W.cursor,W.slice_from(r),W.cursor=s,!0)}function n(){for(var r,s;;){if(r=W.cursor,W.in_grouping(F,97,251)){if(W.bra=W.cursor,s=W.cursor,e("u","U",r))continue;if(W.cursor=s,e("i","I",r))continue;if(W.cursor=s,i("y","Y",r))continue}if(W.cursor=r,W.bra=r,!e("y","Y",r)){if(W.cursor=r,W.eq_s(1,"q")&&(W.bra=W.cursor,i("u","U",r)))continue;if(W.cursor=r,r>=W.limit)return;W.cursor++}}}function t(){for(;!W.in_grouping(F,97,251);){if(W.cursor>=W.limit)return!0;W.cursor++}for(;!W.out_grouping(F,97,251);){if(W.cursor>=W.limit)return!0;W.cursor++}return!1}function u(){var e=W.cursor;if(q=W.limit,g=q,p=q,W.in_grouping(F,97,251)&&W.in_grouping(F,97,251)&&W.cursor<W.limit)W.cursor++;else if(W.cursor=e,!W.find_among(v,3)){W.cursor=e;do{if(W.cursor>=W.limit){W.cursor=q;break}W.cursor++}while(!W.in_grouping(F,97,251))}q=W.cursor,W.cursor=e,t()||(g=W.cursor,t()||(p=W.cursor))}function o(){for(var e,r;;){if(r=W.cursor,W.bra=r,!(e=W.find_among(h,4)))break;switch(W.ket=W.cursor,e){case 1:W.slice_from("i");break;case 2:W.slice_from("u");break;case 3:W.slice_from("y");break;case 4:if(W.cursor>=W.limit)return;W.cursor++}}}function c(){return q<=W.cursor}function a(){return g<=W.cursor}function l(){return p<=W.cursor}function w(){var e,r;if(W.ket=W.cursor,e=W.find_among_b(C,43)){switch(W.bra=W.cursor,e){case 1:if(!l())return!1;W.slice_del();break;case 2:if(!l())return!1;W.slice_del(),W.ket=W.cursor,W.eq_s_b(2,"ic")&&(W.bra=W.cursor,l()?W.slice_del():W.slice_from("iqU"));break;case 3:if(!l())return!1;W.slice_from("log");break;case 4:if(!l())return!1;W.slice_from("u");break;case 5:if(!l())return!1;W.slice_from("ent");break;case 6:if(!c())return!1;if(W.slice_del(),W.ket=W.cursor,e=W.find_among_b(z,6))switch(W.bra=W.cursor,e){case 1:l()&&(W.slice_del(),W.ket=W.cursor,W.eq_s_b(2,"at")&&(W.bra=W.cursor,l()&&W.slice_del()));break;case 2:l()?W.slice_del():a()&&W.slice_from("eux");break;case 3:l()&&W.slice_del();break;case 4:c()&&W.slice_from("i")}break;case 7:if(!l())return!1;if(W.slice_del(),W.ket=W.cursor,e=W.find_among_b(y,3))switch(W.bra=W.cursor,e){case 1:l()?W.slice_del():W.slice_from("abl");break;case 2:l()?W.slice_del():W.slice_from("iqU");break;case 3:l()&&W.slice_del()}break;case 8:if(!l())return!1;if(W.slice_del(),W.ket=W.cursor,W.eq_s_b(2,"at")&&(W.bra=W.cursor,l()&&(W.slice_del(),W.ket=W.cursor,W.eq_s_b(2,"ic")))){W.bra=W.cursor,l()?W.slice_del():W.slice_from("iqU");break}break;case 9:W.slice_from("eau");break;case 10:if(!a())return!1;W.slice_from("al");break;case 11:if(l())W.slice_del();else{if(!a())return!1;W.slice_from("eux")}break;case 12:if(!a()||!W.out_grouping_b(F,97,251))return!1;W.slice_del();break;case 13:return c()&&W.slice_from("ant"),!1;case 14:return c()&&W.slice_from("ent"),!1;case 15:return r=W.limit-W.cursor,W.in_grouping_b(F,97,251)&&c()&&(W.cursor=W.limit-r,W.slice_del()),!1}return!0}return!1}function f(){var e,r;if(W.cursor<q)return!1;if(r=W.limit_backward,W.limit_backward=q,W.ket=W.cursor,!(e=W.find_among_b(x,35)))return W.limit_backward=r,!1;if(W.bra=W.cursor,1==e){if(!W.out_grouping_b(F,97,251))return W.limit_backward=r,!1;W.slice_del()}return W.limit_backward=r,!0}function m(){var e,r,s;if(W.cursor<q)return!1;if(r=W.limit_backward,W.limit_backward=q,W.ket=W.cursor,!(e=W.find_among_b(I,38)))return W.limit_backward=r,!1;switch(W.bra=W.cursor,e){case 1:if(!l())return W.limit_backward=r,!1;W.slice_del();break;case 2:W.slice_del();break;case 3:W.slice_del(),s=W.limit-W.cursor,W.ket=W.cursor,W.eq_s_b(1,"e")?(W.bra=W.cursor,W.slice_del()):W.cursor=W.limit-s}return W.limit_backward=r,!0}function _(){var e,r,s,i,n=W.limit-W.cursor;if(W.ket=W.cursor,W.eq_s_b(1,"s")?(W.bra=W.cursor,r=W.limit-W.cursor,W.out_grouping_b(S,97,232)?(W.cursor=W.limit-r,W.slice_del()):W.cursor=W.limit-n):W.cursor=W.limit-n,W.cursor>=q){if(s=W.limit_backward,W.limit_backwarLine truncated
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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.he=function(){this.pipeline.reset(),this.pipeline.add(e.he.trimmer,e.he.stopWordFilter,e.he.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.he.stemmer))},e.he.wordCharacters="֑-״א-תa-zA-Za-zA-Z0-90-9",e.he.trimmer=e.trimmerSupport.generateTrimmer(e.he.wordCharacters),e.Pipeline.registerFunction(e.he.trimmer,"trimmer-he"),e.he.stemmer=function(){var e=this;return e.result=!1,e.preRemoved=!1,e.sufRemoved=!1,e.pre={pre1:"ה ו י ת",pre2:"ב כ ל מ ש כש",pre3:"הב הכ הל המ הש בש לכ",pre4:"וב וכ ול ומ וש",pre5:"מה שה כל",pre6:"מב מכ מל ממ מש",pre7:"בה בו בי בת כה כו כי כת לה לו לי לת",pre8:"ובה ובו ובי ובת וכה וכו וכי וכת ולה ולו ולי ולת"},e.suf={suf1:"ך כ ם ן נ",suf2:"ים ות וך וכ ום ון ונ הם הן יכ יך ינ ים",suf3:"תי תך תכ תם תן תנ",suf4:"ותי ותך ותכ ותם ותן ותנ",suf5:"נו כם כן הם הן",suf6:"ונו וכם וכן והם והן",suf7:"תכם תכן תנו תהם תהן",suf8:"הוא היא הם הן אני אתה את אנו אתם אתן",suf9:"ני נו כי כו כם כן תי תך תכ תם תן",suf10:"י ך כ ם ן נ ת"},e.patterns=JSON.parse('{"hebrewPatterns": [{"pt1": [{"c": "ה", "l": 0}]}, {"pt2": [{"c": "ו", "l": 0}]}, {"pt3": [{"c": "י", "l": 0}]}, {"pt4": [{"c": "ת", "l": 0}]}, {"pt5": [{"c": "מ", "l": 0}]}, {"pt6": [{"c": "ל", "l": 0}]}, {"pt7": [{"c": "ב", "l": 0}]}, {"pt8": [{"c": "כ", "l": 0}]}, {"pt9": [{"c": "ש", "l": 0}]}, {"pt10": [{"c": "כש", "l": 0}]}, {"pt11": [{"c": "בה", "l": 0}]}, {"pt12": [{"c": "וב", "l": 0}]}, {"pt13": [{"c": "וכ", "l": 0}]}, {"pt14": [{"c": "ול", "l": 0}]}, {"pt15": [{"c": "ומ", "l": 0}]}, {"pt16": [{"c": "וש", "l": 0}]}, {"pt17": [{"c": "הב", "l": 0}]}, {"pt18": [{"c": "הכ", "l": 0}]}, {"pt19": [{"c": "הל", "l": 0}]}, {"pt20": [{"c": "המ", "l": 0}]}, {"pt21": [{"c": "הש", "l": 0}]}, {"pt22": [{"c": "מה", "l": 0}]}, {"pt23": [{"c": "שה", "l": 0}]}, {"pt24": [{"c": "כל", "l": 0}]}]}'),e.execArray=["cleanWord","removeDiacritics","removeStopWords","normalizeHebrewCharacters"],e.stem=function(){var r=0;for(e.result=!1,e.preRemoved=!1,e.sufRemoved=!1;r<e.execArray.length&&1!=e.result;)e.result=e[e.execArray[r]](),r++},e.setCurrent=function(r){e.word=r},e.getCurrent=function(){return e.word},e.cleanWord=function(){return!!new RegExp("[^֑-״א-ת]").test("")},e.removeDiacritics=function(){var r=new RegExp("[ְ-ֿ]","g");return e.word=e.word.replace(r,""),!1},e.removeStopWords=function(){if("אבל או אולי אותו אותי אותך אותם אותן אותנו אז אחר אחרות אחרי אחריכן אחרים אחרת אי איזה איך אין איפה אל אלה אלו אם אנחנו אני אף אפשר את אתה אתכם אתכן אתם אתן באיזה באיזו בגלל בין בלבד בעבור בעזרת בכל בכן בלי במידה במקום שבו ברוב בשביל בשעה ש בתוך גם דרך הוא היא היה היי היכן היתה היתי הם הן הנה הסיבה שבגללה הרי ואילו ואת זאת זה זות יהיה יוכל יוכלו יותר מדי יכול יכולה יכולות יכולים יכל יכלה יכלו יש כאן כאשר כולם כולן כזה כי כיצד כך כל כלל כמו כן כפי כש לא לאו לאיזותך לאן לבין לה להיות להם להן לו לזה לזות לי לך לכם לכן למה למעלה למעלה מ למטה למטה מ למעט למקום שבו למרות לנו לעבר לעיכן לפיכך לפני מאד מאחורי מאיזו סיבה מאין מאיפה מבלי מבעד מדוע מה מהיכן מול מחוץ מי מידע מכאן מכל מכן מלבד מן מנין מסוגל מעט מעטים מעל מצד מקום בו מתחת מתי נגד נגר נו עד עז על עלי עליו עליה עליהם עליך עלינו עם עצמה עצמהם עצמהן עצמו עצמי עצמם עצמן עצמנו פה רק שוב של שלה שלהם שלהן שלו שלי שלך שלכה שלכם שלכן שלנו שם תהיה תחת".split(" ").indexOf(e.word)>=0)return!0},e.normalizeHebrewCharacters=function(){return e.word=e.word.replace("ך","כ"),e.word=e.word.replace("ם","מ"),e.word=e.word.replace("ן","נ"),e.word=e.word.replace("ף","פ"),e.word=e.word.replace("ץ","צ"),!1},function(r){return"function"==typeof r.update?r.update(function(r){return e.setLine truncated
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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hi=function(){this.pipeline.reset(),this.pipeline.add(e.hi.trimmer,e.hi.stopWordFilter,e.hi.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hi.stemmer))},e.hi.wordCharacters="ऀ-ःऄ-एऐ-टठ-यर-िी-ॏॐ-य़ॠ-९॰-ॿa-zA-Za-zA-Z0-90-9",e.hi.trimmer=e.trimmerSupport.generateTrimmer(e.hi.wordCharacters),e.Pipeline.registerFunction(e.hi.trimmer,"trimmer-hi"),e.hi.stopWordFilter=e.generateStopWordFilter("अत अपना अपनी अपने अभी अंदर आदि आप इत्यादि इन इनका इन्हीं इन्हें इन्हों इस इसका इसकी इसके इसमें इसी इसे उन उनका उनकी उनके उनको उन्हीं उन्हें उन्हों उस उसके उसी उसे एक एवं एस ऐसे और कई कर करता करते करना करने करें कहते कहा का काफ़ी कि कितना किन्हें किन्हों किया किर किस किसी किसे की कुछ कुल के को कोई कौन कौनसा गया घर जब जहाँ जा जितना जिन जिन्हें जिन्हों जिस जिसे जीधर जैसा जैसे जो तक तब तरह तिन तिन्हें तिन्हों तिस तिसे तो था थी थे दबारा दिया दुसरा दूसरे दो द्वारा न नके नहीं ना निहायत नीचे ने पर पहले पूरा पे फिर बनी बही बहुत बाद बाला बिलकुल भी भीतर मगर मानो मे में यदि यह यहाँ यही या यिह ये रखें रहा रहे ऱ्वासा लिए लिये लेकिन व वग़ैरह वर्ग वह वहाँ वहीं वाले वुह वे वो सकता सकते सबसे सभी साथ साबुत साभ सारा से सो संग ही हुआ हुई हुए है हैं हो होता होती होते होना होने".split(" ")),e.hi.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}();var r=e.wordcut;r.init(),e.hi.tokenizer=function(i){if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(r){return isLunr2?new e.Token(r.toLowerCase()):r.toLowerCase()});var t=i.toString().toLowerCase().replace(/^\s+/,"");return r.cut(t).split("|")},e.Pipeline.registerFunction(e.hi.stemmer,"stemmer-hi"),e.Pipeline.registerFunction(e.hi.stopWordFilter,"stopWordFilter-hi")}});
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/*!
* Lunr languages, `Hungarian` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,n){"function"==typeof define&&define.amd?define(n):"object"==typeof exports?module.exports=n():n()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hu=function(){this.pipeline.reset(),this.pipeline.add(e.hu.trimmer,e.hu.stopWordFilter,e.hu.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.hu.stemmer))},e.hu.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.hu.trimmer=e.trimmerSupport.generateTrimmer(e.hu.wordCharacters),e.Pipeline.registerFunction(e.hu.trimmer,"trimmer-hu"),e.hu.stemmer=function(){var n=e.stemmerSupport.Among,r=e.stemmerSupport.SnowballProgram,i=new function(){function e(){var e,n=L.cursor;if(d=L.limit,L.in_grouping(W,97,252))for(;;){if(e=L.cursor,L.out_grouping(W,97,252))return L.cursor=e,L.find_among(g,8)||(L.cursor=e,e<L.limit&&L.cursor++),void(d=L.cursor);if(L.cursor=e,e>=L.limit)return void(d=e);L.cursor++}if(L.cursor=n,L.out_grouping(W,97,252)){for(;!L.in_grouping(W,97,252);){if(L.cursor>=L.limit)return;L.cursor++}d=L.cursor}}function i(){return d<=L.cursor}function a(){var e;if(L.ket=L.cursor,(e=L.find_among_b(h,2))&&(L.bra=L.cursor,i()))switch(e){case 1:L.slice_from("a");break;case 2:L.slice_from("e")}}function t(){var e=L.limit-L.cursor;return!!L.find_among_b(p,23)&&(L.cursor=L.limit-e,!0)}function s(){if(L.cursor>L.limit_backward){L.cursor--,L.ket=L.cursor;var e=L.cursor-1;L.limit_backward<=e&&e<=L.limit&&(L.cursor=e,L.bra=e,L.slice_del())}}function c(){var e;if(L.ket=L.cursor,(e=L.find_among_b(_,2))&&(L.bra=L.cursor,i())){if((1==e||2==e)&&!t())return;L.slice_del(),s()}}function o(){L.ket=L.cursor,L.find_among_b(v,44)&&(L.bra=L.cursor,i()&&(L.slice_del(),a()))}function w(){var e;if(L.ket=L.cursor,(e=L.find_among_b(z,3))&&(L.bra=L.cursor,i()))switch(e){case 1:L.slice_from("e");break;case 2:case 3:L.slice_from("a")}}function l(){var e;if(L.ket=L.cursor,(e=L.find_among_b(y,6))&&(L.bra=L.cursor,i()))switch(e){case 1:case 2:L.slice_del();break;case 3:L.slice_from("a");break;case 4:L.slice_from("e")}}function u(){var e;if(L.ket=L.cursor,(e=L.find_among_b(j,2))&&(L.bra=L.cursor,i())){if((1==e||2==e)&&!t())return;L.slice_del(),s()}}function m(){var e;if(L.ket=L.cursor,(e=L.find_among_b(C,7))&&(L.bra=L.cursor,i()))switch(e){case 1:L.slice_from("a");break;case 2:L.slice_from("e");break;case 3:case 4:case 5:case 6:case 7:L.slice_del()}}function k(){var e;if(L.ket=L.cursor,(e=L.find_among_b(P,12))&&(L.bra=L.cursor,i()))switch(e){case 1:case 4:case 7:case 9:L.slice_del();break;case 2:case 5:case 8:L.slice_from("e");break;case 3:case 6:L.slice_from("a")}}function f(){var e;if(L.ket=L.cursor,(e=L.find_among_b(F,31))&&(L.bra=L.cursor,i()))switch(e){case 1:case 4:case 7:case 8:case 9:case 12:case 13:case 16:case 17:case 18:L.slice_del();break;case 2:case 5:case 10:case 14:case 19:L.slice_from("a");break;case 3:case 6:case 11:case 15:case 20:L.slice_from("e")}}function b(){var e;if(L.ket=L.cursor,(e=L.find_among_b(S,42))&&(L.bra=L.cursor,i()))switch(e){case 1:case 4:case 5:case 6:case 9:case 10:case 11:case 14:case 15:case 16:case 17:case 20:case 21:case 24:case 25:case 26:case 29:L.slice_del();break;case 2:case 7:case 12:case 18:case 22:case 27:L.slice_from("a");break;case 3:case 8:case 13:case 19:case 23:case 28:L.slice_from("e")}}var d,g=[new n("cs",-1,-1),new n("dzs",-1,-1),new n("gy",-1,-1),new n("ly",-1,-1),new n("ny",-1,-1),new n("sz",-1,-1),new n("ty",-1,-1),new n("zs",-1,-1)],h=[new n("á",-1,1),new n("é",-1,2)],p=[new n("bb",-1,-1),new n("cc",-1,-1),new n("dd",-1,-1),new n("ff",-1,-1),new n("gg",-1,-1),new n("jj",-1,-1),new n("kk",-1,-1),new n("ll",-1,-1),new n("mm",-1,-1),new n("nn",-1,-1),new n("pp",-1,-1),new n("rr",-1,-1),new n("ccs",-1,-1),new n("ss",-1,-1),new n("zzs",-1,-1),new n("tt",-1,-1),new n("vv",-1,-1),new n("ggy",-1,-1),new n("lly",-1,-1),new n("nny",-1,-1),new n("tty",-1,-1),new n("ssz",-1,-1),new n("zz",-1,-1)],_=[new n("al",-1,1),new n("el",-1,2)],v=[new n("ba",-1,-1),new n("ra",-1,-1),new n("be",-1,-1),new n("re",-1,-1),new n("ig",-1,-1),new n("nak",-1,-1),new n("nek",-1,-1),new n("val",-1,-1),new n("vel",-1,-1),new n("ul",-1,-1),new n("nál",-1,-1),new n("nél",-1,-1),new n("ból",-1,-1),new n("ról",-1,-1),new n("tól",-1,-1),new n("bõl",-1,-1),new n("rõl",-1,-1),new n("tõl",-1,-1),new n("ül",-1,-1),new n("n",-1,-1),new n("an",19,-1),new n("ban",20,-1),new n("en",19,-1),new n("ben",22,-1),new n("képpen",22,-1),new n("on",19,-1),new n("ön",19,-1),new n("képp",-1,-1),new n("kor",-1,-1),new n("t",-1,-1),new n("at",29,-1),new n("et",29,-1),new n("ként",29,-1),new n("anként",32,-1),new n("enként",32,-1),new n("onként",32,-1),Line truncated
+1
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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.hy=function(){this.pipeline.reset(),this.pipeline.add(e.hy.trimmer,e.hy.stopWordFilter)},e.hy.wordCharacters="[A-Za-z԰-֏ff-ﭏ]",e.hy.trimmer=e.trimmerSupport.generateTrimmer(e.hy.wordCharacters),e.Pipeline.registerFunction(e.hy.trimmer,"trimmer-hy"),e.hy.stopWordFilter=e.generateStopWordFilter("դու և եք էիր էիք հետո նաև նրանք որը վրա է որ պիտի են այս մեջ ն իր ու ի այդ որոնք այն կամ էր մի ես համար այլ իսկ էին ենք հետ ին թ էինք մենք նրա նա դուք եմ էի ըստ որպես ում".split(" ")),e.Pipeline.registerFunction(e.hy.stopWordFilter,"stopWordFilter-hy"),e.hy.stemmer=function(){return function(e){return"function"==typeof e.update?e.update(function(e){return e}):e}}(),e.Pipeline.registerFunction(e.hy.stemmer,"stemmer-hy")}});
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/*!
* Lunr languages, `Italian` language
* https://github.com/MihaiValentin/lunr-languages
*
* Copyright 2014, Mihai Valentin
* http://www.mozilla.org/MPL/
*/
/*!
* based on
* Snowball JavaScript Library v0.3
* http://code.google.com/p/urim/
* http://snowball.tartarus.org/
*
* Copyright 2010, Oleg Mazko
* http://www.mozilla.org/MPL/
*/
!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");e.it=function(){this.pipeline.reset(),this.pipeline.add(e.it.trimmer,e.it.stopWordFilter,e.it.stemmer),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add(e.it.stemmer))},e.it.wordCharacters="A-Za-zªºÀ-ÖØ-öø-ʸˠ-ˤᴀ-ᴥᴬ-ᵜᵢ-ᵥᵫ-ᵷᵹ-ᶾḀ-ỿⁱⁿₐ-ₜKÅℲⅎⅠ-ↈⱠ-ⱿꜢ-ꞇꞋ-ꞭꞰ-ꞷꟷ-ꟿꬰ-ꭚꭜ-ꭤff-stA-Za-z",e.it.trimmer=e.trimmerSupport.generateTrimmer(e.it.wordCharacters),e.Pipeline.registerFunction(e.it.trimmer,"trimmer-it"),e.it.stemmer=function(){var r=e.stemmerSupport.Among,n=e.stemmerSupport.SnowballProgram,i=new function(){function e(e,r,n){return!(!x.eq_s(1,e)||(x.ket=x.cursor,!x.in_grouping(L,97,249)))&&(x.slice_from(r),x.cursor=n,!0)}function i(){for(var r,n,i,o,t=x.cursor;;){if(x.bra=x.cursor,r=x.find_among(h,7))switch(x.ket=x.cursor,r){case 1:x.slice_from("à");continue;case 2:x.slice_from("è");continue;case 3:x.slice_from("ì");continue;case 4:x.slice_from("ò");continue;case 5:x.slice_from("ù");continue;case 6:x.slice_from("qU");continue;case 7:if(x.cursor>=x.limit)break;x.cursor++;continue}break}for(x.cursor=t;;)for(n=x.cursor;;){if(i=x.cursor,x.in_grouping(L,97,249)){if(x.bra=x.cursor,o=x.cursor,e("u","U",i))break;if(x.cursor=o,e("i","I",i))break}if(x.cursor=i,x.cursor>=x.limit)return void(x.cursor=n);x.cursor++}}function o(e){if(x.cursor=e,!x.in_grouping(L,97,249))return!1;for(;!x.out_grouping(L,97,249);){if(x.cursor>=x.limit)return!1;x.cursor++}return!0}function t(){if(x.in_grouping(L,97,249)){var e=x.cursor;if(x.out_grouping(L,97,249)){for(;!x.in_grouping(L,97,249);){if(x.cursor>=x.limit)return o(e);x.cursor++}return!0}return o(e)}return!1}function s(){var e,r=x.cursor;if(!t()){if(x.cursor=r,!x.out_grouping(L,97,249))return;if(e=x.cursor,x.out_grouping(L,97,249)){for(;!x.in_grouping(L,97,249);){if(x.cursor>=x.limit)return x.cursor=e,void(x.in_grouping(L,97,249)&&x.cursor<x.limit&&x.cursor++);x.cursor++}return void(k=x.cursor)}if(x.cursor=e,!x.in_grouping(L,97,249)||x.cursor>=x.limit)return;x.cursor++}k=x.cursor}function a(){for(;!x.in_grouping(L,97,249);){if(x.cursor>=x.limit)return!1;x.cursor++}for(;!x.out_grouping(L,97,249);){if(x.cursor>=x.limit)return!1;x.cursor++}return!0}function u(){var e=x.cursor;k=x.limit,p=k,g=k,s(),x.cursor=e,a()&&(p=x.cursor,a()&&(g=x.cursor))}function c(){for(var e;;){if(x.bra=x.cursor,!(e=x.find_among(q,3)))break;switch(x.ket=x.cursor,e){case 1:x.slice_from("i");break;case 2:x.slice_from("u");break;case 3:if(x.cursor>=x.limit)return;x.cursor++}}}function w(){return k<=x.cursor}function l(){return p<=x.cursor}function m(){return g<=x.cursor}function f(){var e;if(x.ket=x.cursor,x.find_among_b(C,37)&&(x.bra=x.cursor,(e=x.find_among_b(z,5))&&w()))switch(e){case 1:x.slice_del();break;case 2:x.slice_from("e")}}function v(){var e;if(x.ket=x.cursor,!(e=x.find_among_b(S,51)))return!1;switch(x.bra=x.cursor,e){case 1:if(!m())return!1;x.slice_del();break;case 2:if(!m())return!1;x.slice_del(),x.ket=x.cursor,x.eq_s_b(2,"ic")&&(x.bra=x.cursor,m()&&x.slice_del());break;case 3:if(!m())return!1;x.slice_from("log");break;case 4:if(!m())return!1;x.slice_from("u");break;case 5:if(!m())return!1;x.slice_from("ente");break;case 6:if(!w())return!1;x.slice_del();break;case 7:if(!l())return!1;x.slice_del(),x.ket=x.cursor,e=x.find_among_b(P,4),e&&(x.bra=x.cursor,m()&&(x.slice_del(),1==e&&(x.ket=x.cursor,x.eq_s_b(2,"at")&&(x.bra=x.cursor,m()&&x.slice_del()))));break;case 8:if(!m())return!1;x.slice_del(),x.ket=x.cursor,e=x.find_among_b(F,3),e&&(x.bra=x.cursor,1==e&&m()&&x.slice_del());break;case 9:if(!m())return!1;x.slice_del(),x.ket=x.cursor,x.eq_s_b(2,"at")&&(x.bra=x.cursor,m()&&(x.slice_del(),x.ket=x.cursor,x.eq_s_b(2,"ic")&&(x.bra=x.cursor,m()&&x.slice_del())))}return!0}function b(){var e,r;x.cursor>=k&&(r=x.limit_backward,x.limit_backward=k,x.ket=x.cursor,e=x.find_among_b(W,87),e&&(x.bra=x.cursor,1==e&&x.slice_del()),x.limit_backward=r)}function d(){var e=x.limit-x.cursor;if(x.ket=x.cursor,x.in_grouping_b(y,97,242)&&(x.bra=x.cursor,w()&&(x.slice_del(),x.ket=x.cursor,x.eq_s_b(1,"i")&&(x.bra=x.cursor,w()))))return void x.slice_del();x.cursor=x.limit-e}function _(){d(),x.ket=x.cursor,x.eq_s_b(1,"h")&&(x.bra=x.cursor,x.in_grouping_b(U,99,103)&&w()&&x.slice_del())}var g,p,k,h=[new r("",-1,7),new r("qu",0,6),new r("á",0,1),new r("é",0,2),new r("í",0,3),new r("ó",0,4),new r("ú",0,5)],q=[new r("",-1,3),new r("I",0,1),new r("U",0,2)],C=[new r("la",-1,-1),new r("cela",0,-1),new r("gliela",0,-1),new r("mela",0,-1),new r("tela",0,-1),new r("vela",0,-1),new r("le",-1,-1),new r("cele",6,-1),new r("gliele",6Line truncated
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!function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(e){if(void 0===e)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===e.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var r="2"==e.version[0];e.ja=function(){this.pipeline.reset(),this.pipeline.add(e.ja.trimmer,e.ja.stopWordFilter,e.ja.stemmer),r?this.tokenizer=e.ja.tokenizer:(e.tokenizer&&(e.tokenizer=e.ja.tokenizer),this.tokenizerFn&&(this.tokenizerFn=e.ja.tokenizer))};var t=new e.TinySegmenter;e.ja.tokenizer=function(i){var n,o,s,p,a,u,m,l,c,f;if(!arguments.length||null==i||void 0==i)return[];if(Array.isArray(i))return i.map(function(t){return r?new e.Token(t.toLowerCase()):t.toLowerCase()});for(o=i.toString().toLowerCase().replace(/^\s+/,""),n=o.length-1;n>=0;n--)if(/\S/.test(o.charAt(n))){o=o.substring(0,n+1);break}for(a=[],s=o.length,c=0,l=0;c<=s;c++)if(u=o.charAt(c),m=c-l,u.match(/\s/)||c==s){if(m>0)for(p=t.segment(o.slice(l,c)).filter(function(e){return!!e}),f=l,n=0;n<p.length;n++)r?a.push(new e.Token(p[n],{position:[f,p[n].length],index:a.length})):a.push(p[n]),f+=p[n].length;l=c+1}return a},e.ja.stemmer=function(){return function(e){return e}}(),e.Pipeline.registerFunction(e.ja.stemmer,"stemmer-ja"),e.ja.wordCharacters="一二三四五六七八九十百千万億兆一-龠々〆ヵヶぁ-んァ-ヴーア-ン゙a-zA-Za-zA-Z0-90-9",e.ja.trimmer=e.trimmerSupport.generateTrimmer(e.ja.wordCharacters),e.Pipeline.registerFunction(e.ja.trimmer,"trimmer-ja"),e.ja.stopWordFilter=e.generateStopWordFilter("これ それ あれ この その あの ここ そこ あそこ こちら どこ だれ なに なん 何 私 貴方 貴方方 我々 私達 あの人 あのかた 彼女 彼 です あります おります います は が の に を で え から まで より も どの と し それで しかし".split(" ")),e.Pipeline.registerFunction(e.ja.stopWordFilter,"stopWordFilter-ja"),e.jp=e.ja,e.Pipeline.registerFunction(e.jp.stemmer,"stemmer-jp"),e.Pipeline.registerFunction(e.jp.trimmer,"trimmer-jp"),e.Pipeline.registerFunction(e.jp.stopWordFilter,"stopWordFilter-jp")}});
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