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Author SHA1 Message Date
William Fu-Hinthorn 52910f3b04 InMemorySaver 2024-10-06 20:49:11 -07:00
550 changed files with 28454 additions and 74736 deletions

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+40 -9
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@@ -7,29 +7,35 @@ body:
value: >
Thank you for taking the time to file a bug report.
Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use [GitHub Discussions](https://github.com/langchain-ai/langgraph/discussions).
Use this to report bugs in LangChain.
If you're not certain that your issue is due to a bug in LangChain, please use [GitHub Discussions](https://github.com/langchain-ai/langchain/discussions)
to ask for help with your issue.
Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
if there's another way to solve your problem:
[LangGraph Github Discussions](https://github.com/langchain-ai/langgraph/discussions),
[LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
[LangGraph how-to guides](https://langchain-ai.github.io/langgraph/how-tos/).
[LangGraph documentation](https://langchain-ai.github.io/langgraph/).
[LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
[GitHub search](https://github.com/langchain-ai/langgraph),
[LangChain Github Discussions](https://github.com/langchain-ai/langgraph/discussions),
[LangChain Github Issues](https://github.com/langchain-ai/langgraph/issues),
[LangChain ChatBot](https://chat.langchain.com/)
- type: checkboxes
id: checks
attributes:
label: Checked other resources
description: Before submitting this issue, please confirm that you have completed all the steps below by checking each option. These steps help ensure your issue is well-defined, relevant, and actionable.
description: Please confirm and check all the following options.
options:
- label: This is a bug, not a usage question. For questions, please use GitHub Discussions.
- label: I added a very descriptive title to this issue.
required: true
- label: I added a clear and detailed title that summarizes the issue.
- label: I searched the [LangGraph](https://langchain-ai.github.io/langgraph/)/LangChain documentation with the integrated search.
required: true
- label: I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example).
- label: I used the GitHub search to find a similar question and didn't find it.
required: true
- label: I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue.
- label: I am sure that this is a bug in LangGraph/LangChain rather than my code.
required: true
- label: I am sure this is better as an issue [rather than a GitHub discussion](https://github.com/langchain-ai/langgraph/discussions/new/choose), since this is a LangGraph bug and not a design question.
required: true
- type: textarea
id: reproduction
@@ -39,6 +45,14 @@ body:
label: Example Code
description: |
Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
**Important!**
* Reduce your code to the minimum required to reproduce the issue if possible. This makes it much easier for others to help you.
* Avoid screenshots when possible, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
placeholder: |
from langgraph.graph import StateGraph
@@ -78,8 +92,25 @@ body:
attributes:
label: System Info
description: |
Please share your system info with us.
"pip freeze | grep langchain"
platform (windows / linux / mac)
python version
OR if you're on a recent version of langchain-core you can paste the output of:
python -m langchain_core.sys_info
placeholder: |
"pip freeze | grep langgraph"
platform
python version
Alternatively, if you're on a recent version of langchain-core you can paste the output of:
python -m langchain_core.sys_info
These will only surface LangChain packages, don't forget to include any other relevant
packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
validations:
required: true
-115
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@@ -1,115 +0,0 @@
import asyncio
import json
import os
import pathlib
import sys
import langgraph_cli
import langgraph_cli.docker
import langgraph_cli.config
from langgraph_cli.exec import Runner, subp_exec
from langgraph_cli.progress import Progress
from langgraph_cli.constants import DEFAULT_PORT
def test(
config: pathlib.Path,
port: int,
tag: str,
verbose: bool,
):
with Runner() as runner, Progress(message="Pulling...") as set:
# check docker available
capabilities = langgraph_cli.docker.check_capabilities(runner)
# open config
config_json = langgraph_cli.config.validate_config_file(config)
set("Running...")
args = [
"run",
"--rm",
"-p",
f"{port}:8000",
]
if isinstance(config_json["env"], str):
args.extend(
[
"--env-file",
str(config.parent / config_json["env"]),
]
)
else:
for k, v in config_json["env"].items():
args.extend(
[
"-e",
f"{k}={v}",
]
)
if capabilities.healthcheck_start_interval:
args.extend(
[
"--health-interval",
"5s",
"--health-retries",
"1",
"--health-start-period",
"10s",
"--health-start-interval",
"1s",
]
)
else:
args.extend(
[
"--health-interval",
"5s",
"--health-retries",
"2",
]
)
_task = None
def on_stdout(line: str):
nonlocal _task
if "GET /ok" in line or "Uvicorn running on" in line:
set("")
sys.stdout.write(
f"""Ready!
- API: http://localhost:{port}
"""
)
sys.stdout.flush()
_task.cancel()
return True
return False
async def subp_exec_task(*args, **kwargs):
nonlocal _task
_task = asyncio.create_task(subp_exec(*args, **kwargs))
await _task
try:
runner.run(
subp_exec_task(
"docker",
*args,
tag,
verbose=verbose,
on_stdout=on_stdout,
)
)
except asyncio.CancelledError:
pass
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-t", "--tag", type=str)
parser.add_argument("-c", "--config", type=str, default="./langgraph.json")
parser.add_argument("-p", "--port", default=DEFAULT_PORT)
args = parser.parse_args()
test(pathlib.Path(args.config), args.port, args.tag, verbose=True)
+8 -22
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@@ -39,36 +39,22 @@ jobs:
- name: Install cli globally
if: steps.changed-files.outputs.all
run: pip install -e .
- name: Build and test service A
- name: Start service A
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples
run: |
# The build-arg isn't used; just testing that we accept other args
langgraph build -t langgraph-test-a --base-image "langchain/langgraph-trial"
cp .env.example .envg
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -c langgraph.json -t langgraph-test-a
- name: Build and test service B
timeout 60 langgraph test -c examples/langgraph.json --verbose || (exit "$(($? == 124 ? 0 : $?))")
- name: Start service B
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs
run: |
langgraph build -t langgraph-test-b --base-image "langchain/langgraph-trial"
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-b
- name: Build and test service C
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
- name: Start service C
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs_reqs_a
run: |
langgraph build -t langgraph-test-c --base-image "langchain/langgraph-trial"
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-c
- name: Build and test service D
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
- name: Start service D
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs_reqs_b
run: |
langgraph build -t langgraph-test-d --base-image "langchain/langgraph-trial"
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d
- name: Build JS service
if: steps.changed-files.outputs.all
working-directory: libs/cli/js-examples
run: |
langgraph build -t langgraph-test-e
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
+1
View File
@@ -42,6 +42,7 @@ jobs:
with:
python-version: ${{ matrix.python-version }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: lint-${{ inputs.working-directory }}
- name: Check Poetry File
+1 -7
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@@ -21,7 +21,6 @@ jobs:
- "3.10"
- "3.11"
- "3.12"
- "3.13"
name: "test #${{ matrix.python-version }}"
steps:
@@ -31,13 +30,8 @@ jobs:
with:
python-version: ${{ matrix.python-version }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: test-${{ inputs.working-directory }}
- name: Login to Docker Hub
uses: docker/login-action@v3
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
- name: Install dependencies
shell: bash
+8 -9
View File
@@ -16,12 +16,14 @@ jobs:
- "3.10"
- "3.11"
- "3.12"
- "3.13"
core-version:
- ">=0.2.39,<0.3.0"
- "latest"
defaults:
run:
working-directory: libs/langgraph
name: "test #${{ matrix.python-version }}"
name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }})"
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
@@ -30,22 +32,19 @@ jobs:
python-version: ${{ matrix.python-version }}
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: test-langgraph
- name: Login to Docker Hub
uses: docker/login-action@v3
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
- name: Install dependencies
shell: bash
run: |
poetry install --with dev
if [ "${{ matrix.core-version }}" != "latest" ]; then
poetry run pip install "langchain-core${{ matrix.core-version }}"
fi
- name: Run tests
shell: bash
run: |
make test_parallel
make test
- name: Ensure the tests did not create any additional files
shell: bash
+1 -2
View File
@@ -29,6 +29,7 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: release
# We want to keep this build stage *separate* from the release stage,
@@ -92,5 +93,3 @@ jobs:
# This is *only for CI use* and is *extremely dangerous* otherwise!
# https://github.com/pypa/gh-action-pypi-publish#tolerating-release-package-file-duplicates
skip-existing: true
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
attestations: false
@@ -27,12 +27,6 @@ jobs:
python-version: ${{ matrix.python-version }}
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: test-scheduler-kafka
- name: Login to Docker Hub
uses: docker/login-action@v3
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
- name: Install dependencies
shell: bash
+4 -36
View File
@@ -43,12 +43,11 @@ jobs:
name: cd ${{ matrix.working-directory }}
strategy:
matrix:
working-directory:
[
working-directory: [
"libs/cli",
"libs/checkpoint",
"libs/checkpoint-sqlite",
"libs/checkpoint-postgres",
"libs/checkpoint-postgres"
]
uses: ./.github/workflows/_test.yml
with:
@@ -75,7 +74,7 @@ jobs:
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
python-version: '3.11'
- name: Run check_sdk_methods script
run: python .github/scripts/check_sdk_methods.py
@@ -108,40 +107,9 @@ jobs:
- name: Build
run: yarn build
test-js:
runs-on: ubuntu-latest
strategy:
matrix:
working-directory:
- "libs/sdk-js"
defaults:
run:
working-directory: ${{ matrix.working-directory }}
steps:
- uses: actions/checkout@v3
- name: Setup Node.js (LTS)
uses: actions/setup-node@v3
with:
node-version: "20"
cache: "yarn"
cache-dependency-path: ${{ matrix.working-directory }}/yarn.lock
- name: Install dependencies
run: yarn install
- name: Run tests
run: yarn test
ci_success:
name: "CI Success"
needs:
[
lint,
lint-js,
test,
test-langgraph,
test-scheduler-kafka,
integration-test,
test-js,
]
needs: [lint, lint-js, test, test-langgraph, test-scheduler-kafka, integration-test]
if: |
always()
runs-on: ubuntu-latest
+5 -23
View File
@@ -44,8 +44,6 @@ jobs:
deploy:
# needs: run-changed-notebooks
runs-on: ubuntu-latest
env:
GITHUB_TOKEN: ${{ secrets.MKDOCS_GITHUB_TOKEN }}
steps:
- uses: actions/checkout@v4
with:
@@ -60,14 +58,8 @@ jobs:
- name: Install dependencies
run: |
poetry install --with test --no-root
poetry run pip install -U \
pytest \
pytest-check-links \
langsmith \
langchain \
GitPython \
"git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
poetry install --with docs
poetry run pip install -U pytest pytest-check-links langsmith langchain GitPython
- name: Lint Docs
# This step lints the docs using the existing linting set up.
@@ -85,18 +77,11 @@ jobs:
if [ "${{ github.event_name }}" == "schedule" ] || [ "${{ github.event_name }}" == "workflow_dispatch" ] || ([ "${{ github.event_name }}" == "push" ] && [ "${{ github.ref }}" == "refs/heads/main" ]); then
echo "Running link check on all HTML files matching notebooks in docs directory..."
poetry run pytest -v \
--check-links-ignore "https://(api|web|docs|academy)\.smith\.langchain\.com/.*" \
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
--check-links-ignore "https://x.com/.*" \
--check-links-ignore "https://github\.com/.*" \
--check-links-ignore "http://localhost:8123/.*" \
--check-links-ignore "http://localhost:2024.*" \
--check-links-ignore "http://127.0.0.1:.*" \
--check-links-ignore "/.*\.(ipynb|html)$" \
--check-links-ignore "https://python\.langchain\.com/.*" \
--check-links-ignore "https://openai\.com/.*" \
--check-links-ignore "https://pepy\.tech/.*" \
--check-links $(find docs/site -name "index.html" | grep -v 'storm/index.html')
--check-links $(find docs/site -name "index.html" | grep -v 'storm/index.html')
else
echo "Fetching changes from origin/main..."
git fetch origin main
@@ -106,10 +91,7 @@ jobs:
if [ -n "${CHANGED_FILES}" ]; then
echo "Running link check on HTML files matching changed notebook files..."
poetry run pytest -v \
--check-links-ignore "https://(api|web|docs|academy)\.smith\.langchain\.com/.*" \
--check-links-ignore "http://localhost:8123/.*" \
--check-links-ignore "http://localhost:2024.*" \
--check-links-ignore "http://127.0.0.1:.*" \
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
--check-links-ignore "https://x.com/.*" \
--check-links-ignore "https://github\.com/.*" \
--check-links-ignore "/.*\.(ipynb|html)$" \
+4 -2
View File
@@ -31,6 +31,7 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: release
# We want to keep this build stage *separate* from the release stage,
@@ -168,6 +169,7 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
- name: Import published package
shell: bash
@@ -254,6 +256,7 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: release
- uses: actions/download-artifact@v4
@@ -267,8 +270,6 @@ jobs:
packages-dir: ${{ inputs.working-directory }}/dist/
verbose: true
print-hash: true
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
attestations: false
mark-release:
needs:
@@ -295,6 +296,7 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: release
- uses: actions/download-artifact@v4
+1 -1
View File
@@ -49,7 +49,7 @@ gain understanding of concepts and how they interact by showing one way to achie
They should **avoid** giving
multiple permutations of ways to achieve that goal in-depth. Choice is burdensome. Instead, they should guide a new user through a recommended path to accomplishing a concrete goal. While the end result of a tutorial does not necessarily need to
be completely production-ready, it should be useful and practically satisfy the goal that you clearly stated in the tutorial's introduction.
be completely production-ready, it should be useful and practically satisfy the the goal that you clearly stated in the tutorial's introduction.
To quote the Diataxis website:
+1 -1
View File
@@ -13,7 +13,7 @@ serve-clean-docs: clean-docs
poetry run python -m mkdocs serve -c -f docs/mkdocs.yml --strict -w ./libs/langgraph
serve-docs: build-typedoc
poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./libs/langgraph -w ./libs/checkpoint -w ./libs/sdk-py --dirty
poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./libs/langgraph --dirty
clean-docs:
find ./docs/docs -name "*.ipynb" -type f -delete
+5 -17
View File
@@ -8,7 +8,7 @@
⚡ Building language agents as graphs ⚡
> [!NOTE]
> Looking for the JS version? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).
> Looking for the JS version? Click [here](https://github.com/langchain-ai/langgraphjs) ([JS docs](https://langchain-ai.github.io/langgraphjs/)).
## Overview
@@ -16,8 +16,6 @@
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
[LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform) is infrastructure for deploying LangGraph agents. It is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework. The LangGraph Platform consists of several components that work together to support the development, deployment, debugging, and monitoring of LangGraph applications: [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server) (APIs), [LangGraph SDKs](https://langchain-ai.github.io/langgraph/concepts/sdk) (clients for the APIs), [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli) (command line tool for building the server), [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio) (UI/debugger),
To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available for free [here](https://academy.langchain.com/courses/intro-to-langgraph).
### Key Features
@@ -28,16 +26,6 @@ To learn more about LangGraph, check out our first LangChain Academy course, *In
- **Streaming Support**: Stream outputs as they are produced by each node (including token streaming).
- **Integration with LangChain**: LangGraph integrates seamlessly with [LangChain](https://github.com/langchain-ai/langchain/) and [LangSmith](https://docs.smith.langchain.com/) (but does not require them).
### LangGraph Platform
LangGraph Platform is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework.
Here are some common issues that arise in complex deployments, which LangGraph Platform addresses:
- **Streaming support**: LangGraph Server provides [multiple streaming modes](https://langchain-ai.github.io/langgraph/concepts/streaming) optimized for various application needs
- **Background runs**: Runs agents asynchronously in the background
- **Support for long running agents**: Infrastructure that can handle long running processes
- **[Double texting](https://langchain-ai.github.io/langgraph/concepts/double_texting)**: Handle the case where you get two messages from the user before the agent can respond
- **Handle burstiness**: Task queue for ensuring requests are handled consistently without loss, even under heavy loads
## Installation
@@ -72,7 +60,7 @@ from typing import Annotated, Literal, TypedDict
from langchain_core.messages import HumanMessage
from langchain_anthropic import ChatAnthropic
from langchain_core.tools import tool
from langgraph.checkpoint.memory import MemorySaver
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.graph import END, START, StateGraph, MessagesState
from langgraph.prebuilt import ToolNode
@@ -137,7 +125,7 @@ workflow.add_conditional_edges(
workflow.add_edge("tools", 'agent')
# Initialize memory to persist state between graph runs
checkpointer = MemorySaver()
checkpointer = InMemorySaver()
# Finally, we compile it!
# This compiles it into a LangChain Runnable,
@@ -213,7 +201,7 @@ final_state["messages"][-1].content
<summary>Compile the graph.</summary>
- When we compile the graph, we turn it into a LangChain [Runnable](https://python.langchain.com/v0.2/docs/concepts/#runnable-interface), which automatically enables calling `.invoke()`, `.stream()` and `.batch()` with your inputs
- We can also optionally pass checkpointer object for persisting state between graph runs, and enabling memory, human-in-the-loop workflows, time travel and more. In our case we use `MemorySaver` - a simple in-memory checkpointer
- We can also optionally pass checkpointer object for persisting state between graph runs, and enabling memory, human-in-the-loop workflows, time travel and more. In our case we use `InMemorySaver` - a simple in-memory checkpointer
</details>
6. <details>
@@ -238,7 +226,7 @@ final_state["messages"][-1].content
* [How-to Guides](https://langchain-ai.github.io/langgraph/how-tos/): Accomplish specific things within LangGraph, from streaming, to adding memory & persistence, to common design patterns (branching, subgraphs, etc.), these are the place to go if you want to copy and run a specific code snippet.
* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/high_level/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more.
* [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more.
* [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform): LangGraph Platform is a commercial solution for deploying agentic applications in production, built on the open-source LangGraph framework.
* [Cloud (beta)](https://langchain-ai.github.io/langgraph/cloud/): With one click, deploy LangGraph applications to LangGraph Cloud.
## Contributing
-93
View File
@@ -1,93 +0,0 @@
import functools
from urllib3 import __version__ as urllib3version # type: ignore[import-untyped]
from urllib3 import connection # type: ignore[import-untyped]
def _ensure_str(s, encoding="utf-8", errors="strict") -> str:
if isinstance(s, str):
return s
if isinstance(s, bytes):
return s.decode(encoding, errors)
return str(s)
# Copied from https://github.com/urllib3/urllib3/blob/1c994dfc8c5d5ecaee8ed3eb585d4785f5febf6e/src/urllib3/connection.py#L231
def request(self, method, url, body=None, headers=None):
"""Make the request.
This function is based on the urllib3 request method, with modifications
to handle potential issues when using vcrpy in concurrent workloads.
Args:
self: The HTTPConnection instance.
method (str): The HTTP method (e.g., 'GET', 'POST').
url (str): The URL for the request.
body (Optional[Any]): The body of the request.
headers (Optional[dict]): Headers to send with the request.
Returns:
The result of calling the parent request method.
"""
# Update the inner socket's timeout value to send the request.
# This only triggers if the connection is re-used.
if getattr(self, "sock", None) is not None:
self.sock.settimeout(self.timeout)
if headers is None:
headers = {}
else:
# Avoid modifying the headers passed into .request()
headers = headers.copy()
if "user-agent" not in (_ensure_str(k.lower()) for k in headers):
headers["User-Agent"] = connection._get_default_user_agent()
# The above is all the same ^^^
# The following is different:
return self._parent_request(method, url, body=body, headers=headers)
_PATCHED = False
def patch_urllib3():
"""Patch the request method of urllib3 to avoid type errors when using vcrpy.
In concurrent workloads (such as the tracing background queue), the
connection pool can get in a state where an HTTPConnection is created
before vcrpy patches the HTTPConnection class. In urllib3 >= 2.0 this isn't
a problem since they use the proper super().request(...) syntax, but in older
versions, super(HTTPConnection, self).request is used, resulting in a TypeError
since self is no longer a subclass of "HTTPConnection" (which at this point
is vcr.stubs.VCRConnection).
This method patches the class to fix the super() syntax to avoid mixed inheritance.
In the case of the LangSmith tracing logic, it doesn't really matter since we always
exclude cache checks for calls to LangSmith.
The patch is only applied for urllib3 versions older than 2.0.
"""
global _PATCHED
if _PATCHED:
return
from packaging import version
if version.parse(urllib3version) >= version.parse("2.0"):
_PATCHED = True
return
# Lookup the parent class and its request method
parent_class = connection.HTTPConnection.__bases__[0]
parent_request = parent_class.request
def new_request(self, *args, **kwargs):
"""Handle parent request.
This method binds the parent's request method to self and then
calls our modified request function.
"""
self._parent_request = functools.partial(parent_request, self)
return request(self, *args, **kwargs)
connection.HTTPConnection.request = new_request
_PATCHED = True
+1 -1
View File
@@ -24,7 +24,7 @@ export -f execute_notebook
# Check if custom notebook paths are provided
if [ $# -gt 0 ]; then
notebooks=$(echo "$@" | tr ' ' '\n' | grep -vFf <(echo "$SKIP_NOTEBOOKS"))
notebooks="$@"
else
# Find all notebooks and filter out those in the skip list
notebooks=$(find docs/docs/tutorials docs/docs/how-tos -name "*.ipynb" | grep -v ".ipynb_checkpoints" | grep -vFf <(echo "$SKIP_NOTEBOOKS"))
@@ -1,290 +0,0 @@
import importlib
import inspect
import logging
import os
import re
from typing import List, Literal, Optional
from typing_extensions import TypedDict
from functools import lru_cache
import nbformat
from nbconvert.preprocessors import Preprocessor
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Base URL for all class documentation
_LANGCHAIN_API_REFERENCE = "https://python.langchain.com/api_reference/"
_LANGGRAPH_API_REFERENCE = "https://langchain-ai.github.io/langgraph/reference/"
# (alias/re-exported modules, source module, class, docs namespace)
MANUAL_API_REFERENCES_LANGGRAPH = [
(
["langgraph.prebuilt"],
"langgraph.prebuilt.chat_agent_executor",
"create_react_agent",
"prebuilt",
),
(["langgraph.prebuilt"], "langgraph.prebuilt.tool_node", "ToolNode", "prebuilt"),
(
["langgraph.prebuilt"],
"langgraph.prebuilt.tool_node",
"tools_condition",
"prebuilt",
),
(
["langgraph.prebuilt"],
"langgraph.prebuilt.tool_node",
"InjectedState",
"prebuilt",
),
# Graph
(["langgraph.graph"], "langgraph.graph.message", "add_messages", "graphs"),
(["langgraph.graph"], "langgraph.graph.state", "StateGraph", "graphs"),
(["langgraph.graph"], "langgraph.graph.state", "CompiledStateGraph", "graphs"),
([], "langgraph.types", "StreamMode", "types"),
(["langgraph.graph"], "langgraph.constants", "START", "constants"),
(["langgraph.graph"], "langgraph.constants", "END", "constants"),
(["langgraph.constants"], "langgraph.types", "Send", "types"),
(["langgraph.constants"], "langgraph.types", "Interrupt", "types"),
(["langgraph.constants"], "langgraph.types", "interrupt", "types"),
(["langgraph.constants"], "langgraph.types", "Command", "types"),
([], "langgraph.types", "RetryPolicy", "types"),
([], "langgraph.checkpoint.base", "Checkpoint", "checkpoints"),
([], "langgraph.checkpoint.base", "CheckpointMetadata", "checkpoints"),
([], "langgraph.checkpoint.base", "BaseCheckpointSaver", "checkpoints"),
([], "langgraph.checkpoint.base", "SerializerProtocol", "checkpoints"),
([], "langgraph.checkpoint.serde.jsonplus", "JsonPlusSerializer", "checkpoints"),
([], "langgraph.checkpoint.memory", "MemorySaver", "checkpoints"),
([], "langgraph.checkpoint.sqlite.aio", "AsyncSqliteSaver", "checkpoints"),
([], "langgraph.checkpoint.sqlite", "SqliteSaver", "checkpoints"),
([], "langgraph.checkpoint.postgres.aio", "AsyncPostgresSaver", "checkpoints"),
([], "langgraph.checkpoint.postgres", "PostgresSaver", "checkpoints"),
]
WELL_KNOWN_LANGGRAPH_OBJECTS = {
(module_, class_): (source_module, namespace)
for (modules, source_module, class_, namespace) in MANUAL_API_REFERENCES_LANGGRAPH
for module_ in modules + [source_module]
}
def _make_regular_expression(pkg_prefix: str) -> re.Pattern:
if not pkg_prefix.isidentifier():
raise ValueError(f"Invalid package prefix: {pkg_prefix}")
return re.compile(
r"from\s+(" + pkg_prefix + "(?:_\w+)?(?:\.\w+)*?)\s+import\s+"
r"((?:\w+(?:,\s*)?)*" # Match zero or more words separated by a comma+optional ws
r"(?:\s*\(.*?\))?)", # Match optional parentheses block
re.DOTALL, # Match newlines as well
)
# Regular expression to match langchain import lines
_IMPORT_LANGCHAIN_RE = _make_regular_expression("langchain")
_IMPORT_LANGGRAPH_RE = _make_regular_expression("langgraph")
@lru_cache(maxsize=10_000)
def _get_full_module_name(module_path: str, class_name: str) -> Optional[str]:
"""Get full module name using inspect, with LRU cache to memoize results."""
try:
module = importlib.import_module(module_path)
class_ = getattr(module, class_name)
module = inspect.getmodule(class_)
if module is None:
# For constants, inspect.getmodule() might return None
# In this case, we'll return the original module_path
return module_path
return module.__name__
except AttributeError as e:
logger.warning(f"API Reference: Could not find module for {class_name}, {e}")
return None
except ImportError as e:
logger.warning(f"API Reference: Failed to load for class {class_name}, {e}")
return None
def _get_doc_title(data: str, file_name: str) -> str:
try:
return re.findall(r"^#\s*(.*)", data, re.MULTILINE)[0]
except IndexError:
pass
# Parse the rst-style titles
try:
return re.findall(r"^(.*)\n=+\n", data, re.MULTILINE)[0]
except IndexError:
return file_name
class ImportInformation(TypedDict):
imported: str # The name of the class that was imported.
source: str # The full module path from which the class was imported.
docs: str # The URL pointing to the class's documentation.
title: str # The title of the document where the import is used.
def _get_imports(
code: str, doc_title: str, package_ecosystem: Literal["langchain", "langgraph"]
) -> List[ImportInformation]:
"""Get imports from the given code block.
Args:
code: Python code block from which to extract imports
doc_title: Title of the document
package_ecosystem: "langchain" or "langgraph". The two live in different
repositories and have separate documentation sites.
Returns:
List of import information for the given code block
"""
imports = []
if package_ecosystem == "langchain":
pattern = _IMPORT_LANGCHAIN_RE
elif package_ecosystem == "langgraph":
pattern = _IMPORT_LANGGRAPH_RE
else:
raise ValueError(f"Invalid package ecosystem: {package_ecosystem}")
for import_match in pattern.finditer(code):
module = import_match.group(1)
if "pydantic_v1" in module:
continue
imports_str = (
import_match.group(2).replace("(\n", "").replace("\n)", "")
) # Handle newlines within parentheses
# remove any newline and spaces, then split by comma
imported_classes = [
imp.strip()
for imp in re.split(r",\s*", imports_str.replace("\n", ""))
if imp.strip()
]
for class_name in imported_classes:
module_path = _get_full_module_name(module, class_name)
if not module_path:
continue
if len(module_path.split(".")) < 2:
continue
if package_ecosystem == "langchain":
pkg = module_path.split(".")[0].replace("langchain_", "")
top_level_mod = module_path.split(".")[1]
url = (
_LANGCHAIN_API_REFERENCE
+ pkg
+ "/"
+ top_level_mod
+ "/"
+ module_path
+ "."
+ class_name
+ ".html"
)
elif package_ecosystem == "langgraph":
if (module, class_name) not in WELL_KNOWN_LANGGRAPH_OBJECTS:
# Likely not documented yet
continue
source_module, namespace = WELL_KNOWN_LANGGRAPH_OBJECTS[
(module, class_name)
]
url = (
_LANGGRAPH_API_REFERENCE
+ namespace
+ "/#"
+ source_module
+ "."
+ class_name
)
else:
raise ValueError(f"Invalid package ecosystem: {package_ecosystem}")
# Add the import information to our list
imports.append(
{
"imported": class_name,
"source": module,
"docs": url,
"title": doc_title,
}
)
return imports
def get_imports(code: str, doc_title: str) -> List[ImportInformation]:
"""Retrieve all import references from the given code for specified ecosystems.
Args:
code: The source code from which to extract import references.
doc_title: The documentation title associated with the code.
Returns:
A list of import information for each import found.
"""
ecosystems = ["langchain", "langgraph"]
all_imports = []
for package_ecosystem in ecosystems:
all_imports.extend(_get_imports(code, doc_title, package_ecosystem))
return all_imports
def update_markdown_with_imports(markdown: str) -> str:
"""Update markdown to include API reference links for imports in Python code blocks.
This function scans the markdown content for Python code blocks, extracts any imports, and appends links to their API documentation.
Args:
markdown: The markdown content to process.
Returns:
Updated markdown with API reference links appended to Python code blocks.
Example:
Given a markdown with a Python code block:
```python
from langchain.nlp import TextGenerator
```
This function will append an API reference link to the `TextGenerator` class from the `langchain.nlp` module if it's recognized.
"""
code_block_pattern = re.compile(
r'(?P<indent>[ \t]*)```(?P<language>python|py)\n(?P<code>.*?)\n(?P=indent)```', re.DOTALL
)
def replace_code_block(match: re.Match) -> str:
"""Replace the matched code block with additional API reference links if imports are found.
Args:
match (re.Match): The regex match object containing the code block.
Returns:
str: The modified code block with API reference links appended if applicable.
"""
indent = match.group('indent')
code_block = match.group('code')
language = match.group('language') # Preserve the language from the regex match
# Retrieve import information from the code block
imports = get_imports(code_block, "__unused__")
original_code_block = match.group(0)
# If no imports are found, return the original code block
if not imports:
return original_code_block
# Generate API reference links for each import
api_links = ' | '.join(
f'<a href="{imp["docs"]}">{imp["imported"]}</a>' for imp in imports
)
# Return the code block with appended API reference links
return f'{original_code_block}\n\n{indent}API Reference: {api_links}'
# Apply the replace_code_block function to all matches in the markdown
updated_markdown = code_block_pattern.sub(replace_code_block, markdown)
return updated_markdown
-123
View File
@@ -1,123 +0,0 @@
import os
import re
from pathlib import Path
import nbformat
from nbconvert.exporters import MarkdownExporter
from nbconvert.preprocessors import Preprocessor
class EscapePreprocessor(Preprocessor):
def preprocess_cell(self, cell, resources, cell_index):
if cell.cell_type == "markdown":
# rewrite markdown links to html links (excluding image links)
cell.source = re.sub(
r"(?<!!)\[([^\]]*)\]\((?![^\)]*//)([^)]*)(?:\.ipynb)?\)",
r'<a href="\2">\1</a>',
cell.source,
)
# Fix image paths in <img> tags
cell.source = re.sub(
r'<img\s+src="\.?/img/([^"]+)"', r'<img src="../img/\1"', cell.source
)
elif cell.cell_type == "code":
# escape ``` in code
cell.source = cell.source.replace("```", r"\`\`\`")
# escape ``` in output
if "outputs" in cell:
filter_out = set()
for i, output in enumerate(cell["outputs"]):
if "text" in output:
if not output["text"].strip():
filter_out.add(i)
continue
value = output["text"].replace("```", r"\`\`\`")
# handle a funky case w/ references in text
value = re.sub(r"\[(\d+)\](?=\[(\d+)\])", r"[\1]\\", value)
output["text"] = value
elif "data" in output:
for key, value in output["data"].items():
if isinstance(value, str):
value = value.replace("```", r"\`\`\`")
# handle a funky case w/ references in text
output["data"][key] = re.sub(
r"\[(\d+)\](?=\[(\d+)\])", r"[\1]\\", value
)
cell["outputs"] = [
output
for i, output in enumerate(cell["outputs"])
if i not in filter_out
]
return cell, resources
class ExtractAttachmentsPreprocessor(Preprocessor):
"""
Extracts all of the outputs from the notebook file. The extracted
outputs are returned in the 'resources' dictionary.
"""
def preprocess_cell(self, cell, resources, cell_index):
"""
Apply a transformation on each cell,
Parameters
----------
cell : NotebookNode cell
Notebook cell being processed
resources : dictionary
Additional resources used in the conversion process. Allows
preprocessors to pass variables into the Jinja engine.
cell_index : int
Index of the cell being processed (see base.py)
"""
# Get files directory if it has been specified
# Make sure outputs key exists
if not isinstance(resources["outputs"], dict):
resources["outputs"] = {}
# Loop through all of the attachments in the cell
for name, attach in cell.get("attachments", {}).items():
for mime, data in attach.items():
if mime not in {
"image/png",
"image/jpeg",
"image/svg+xml",
"application/pdf",
}:
continue
# attachments are pre-rendered. Only replace markdown-formatted
# images with the following logic
attach_str = f"({name})"
if attach_str in cell.source:
data = f"(data:{mime};base64,{data})"
cell.source = cell.source.replace(attach_str, data)
return cell, resources
exporter = MarkdownExporter(
preprocessors=[
EscapePreprocessor,
ExtractAttachmentsPreprocessor,
],
template_name="mdoutput",
extra_template_basedirs=[
os.path.join(os.path.dirname(__file__), "notebook_convert_templates")
],
)
def convert_notebook(
notebook_path: Path,
) -> Path:
with open(notebook_path) as f:
nb = nbformat.read(f, as_version=4)
body, _ = exporter.from_notebook_node(nb)
return body
@@ -1,5 +0,0 @@
{
"mimetypes": {
"text/markdown": true
}
}
@@ -1,33 +0,0 @@
{% extends 'markdown/index.md.j2' %}
{%- block traceback_line -%}
```output
{{ line.rstrip() | strip_ansi }}
```
{%- endblock traceback_line -%}
{%- block stream -%}
```output
{{ output.text.rstrip() }}
```
{%- endblock stream -%}
{%- block data_text scoped -%}
```output
{{ output.data['text/plain'].rstrip() }}
```
{%- endblock data_text -%}
{%- block data_html scoped -%}
```html
{{ output.data['text/html'] | safe }}
```
{%- endblock data_html -%}
{%- block data_jpg scoped -%}
![](data:image/jpg;base64,{{ output.data['image/jpeg'] }})
{%- endblock data_jpg -%}
{%- block data_png scoped -%}
![](data:image/png;base64,{{ output.data['image/png'] }})
{%- endblock data_png -%}
-120
View File
@@ -1,120 +0,0 @@
import logging
import os
import re
from typing import Any, Dict
from mkdocs.structure.files import Files, File
from mkdocs.structure.pages import Page
from notebook_convert import convert_notebook
from generate_api_reference_links import update_markdown_with_imports
logger = logging.getLogger(__name__)
logging.basicConfig()
logger.setLevel(logging.INFO)
DISABLED = os.getenv("DISABLE_NOTEBOOK_CONVERT") in ("1", "true", "True")
class NotebookFile(File):
def is_documentation_page(self):
return True
def on_files(files: Files, **kwargs: Dict[str, Any]):
if DISABLED:
return files
new_files = Files([])
for file in files:
if file.src_path.endswith(".ipynb"):
new_file = NotebookFile(
path=file.src_path,
src_dir=file.src_dir,
dest_dir=file.dest_dir,
use_directory_urls=file.use_directory_urls,
)
new_files.append(new_file)
else:
new_files.append(file)
return new_files
def _highlight_code_blocks(markdown: str) -> str:
"""Find code blocks with highlight comments and add hl_lines attribute.
Args:
markdown: The markdown content to process.
Returns:
updated Markdown code with code blocks containing highlight comments
updated to use the hl_lines attribute.
"""
# Pattern to find code blocks with highlight comments and without
# existing hl_lines for Python and JavaScript
# Pattern to find code blocks with highlight comments, handling optional indentation
code_block_pattern = re.compile(
r"(?P<indent>[ \t]*)```(?P<language>py|python|js|javascript)(?!\s+hl_lines=)\n"
r"(?P<code>((?:.*\n)*?))" # Capture the code inside the block using named group
r"(?P=indent)```" # Match closing backticks with the same indentation
)
def replace_highlight_comments(match: re.Match) -> str:
indent = match.group("indent")
language = match.group("language")
code_block = match.group("code")
lines = code_block.split("\n")
highlighted_lines = []
# Skip initial empty lines
while lines and not lines[0].strip():
lines.pop(0)
lines_to_keep = []
comment_syntax = (
"# highlight-next-line"
if language in ["py", "python"]
else "// highlight-next-line"
)
for line in lines:
if comment_syntax in line:
count = len(lines_to_keep) + 1
highlighted_lines.append(str(count))
else:
lines_to_keep.append(line)
# Reconstruct the new code block
new_code_block = "\n".join(lines_to_keep)
if highlighted_lines:
return (
f'{indent}```{language} hl_lines="{" ".join(highlighted_lines)}"\n'
# The indent and terminating \n is already included in the code block
f'{new_code_block}'
f'{indent}```'
)
else:
return (
f"{indent}```{language}\n"
# The indent and terminating \n is already included in the code block
f"{new_code_block}"
f"{indent}```"
)
# Replace all code blocks in the markdown
markdown = code_block_pattern.sub(replace_highlight_comments, markdown)
return markdown
def on_page_markdown(markdown: str, page: Page, **kwargs: Dict[str, Any]):
if DISABLED:
return markdown
if page.file.src_path.endswith(".ipynb"):
logger.info("Processing Jupyter notebook: %s", page.file.src_path)
markdown = convert_notebook(page.file.abs_src_path)
# Append API reference links to code blocks
markdown = update_markdown_with_imports(markdown)
# Apply highlight comments to code blocks
markdown = _highlight_code_blocks(markdown)
return markdown
+10 -36
View File
@@ -36,19 +36,14 @@ NOTEBOOKS_NO_EXECUTION = [
"docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb",
# this loads a massive dataset from gcp
"docs/docs/tutorials/usaco/usaco.ipynb",
# TODO: figure out why autogen notebook is not runnable (they are just hanging. possible due to code execution?)
"docs/docs/how-tos/autogen-integration.ipynb",
# TODO: need to update these notebooks to make sure they are runnable in CI
"docs/docs/tutorials/storm/storm.ipynb", # issues only when running with VCR
"docs/docs/tutorials/lats/lats.ipynb", # issues only when running with VCR
"docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb", # taking a very long time to run
"docs/docs/tutorials/customer-support/customer-support.ipynb", # user input - update
"docs/docs/tutorials/rag/langgraph_crag.ipynb", # flakiness from tavily
"docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb", # flakiness only when running in GHA
"docs/docs/tutorials/rag/langgraph_self_rag.ipynb", # flakiness only when running in GHA
"docs/docs/tutorials/rag/langgraph_agentic_rag.ipynb", # flakiness only when running in GHA
"docs/docs/how-tos/map-reduce.ipynb", # flakiness from structured output, only when running with VCR
"docs/docs/tutorials/tot/tot.ipynb",
"docs/docs/how-tos/visualization.ipynb",
"docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb"
"docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb", # Cannot create a consistent method resolution error from VCR
"docs/docs/how-tos/map-reduce.ipynb" # flakiness from structured output, only when running with VCR
]
@@ -75,13 +70,10 @@ def is_comment(code: str) -> bool:
return code.strip().startswith("#")
def has_blocklisted_command(code: str, metadata: dict) -> bool:
if 'hide_from_vcr' in metadata:
return True
def has_blocklisted_command(code: str) -> bool:
code = code.strip()
for blocklisted_pattern in BLOCKLIST_COMMANDS:
if blocklisted_pattern in code:
for blocklisted_command in BLOCKLIST_COMMANDS:
if blocklisted_command in code:
return True
return False
@@ -91,7 +83,6 @@ def add_vcr_to_notebook(
) -> nbformat.NotebookNode:
"""Inject `with vcr.cassette` into each code cell of the notebook."""
uses_langsmith = False
# Inject VCR context manager into each code cell
for idx, cell in enumerate(notebook.cells):
if cell.cell_type != "code":
@@ -117,7 +108,7 @@ def add_vcr_to_notebook(
if all(is_comment(line) or not line.strip() for line in lines):
continue
if has_blocklisted_command(cell.source, cell.metadata):
if has_blocklisted_command(cell.source):
continue
cell_id = cell.get("id", idx)
@@ -126,30 +117,14 @@ def add_vcr_to_notebook(
f" {line}" for line in lines
)
if any("hub.pull" in line or "from langsmith import" in line for line in lines):
uses_langsmith = True
# Add import statement
vcr_import_lines = []
if uses_langsmith:
vcr_import_lines.extend([
# patch urllib3 to handle vcr errors, see more here:
# https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
"import sys",
f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
"import _patch as patch_urllib3",
"patch_urllib3.patch_urllib3()",
])
vcr_import_lines.extend([
vcr_import_lines = [
"import nest_asyncio",
"nest_asyncio.apply()",
"import vcr",
"import msgpack",
"import base64",
"import zlib",
"import os",
"os.environ.pop(\"LANGCHAIN_TRACING_V2\", None)",
"custom_vcr = vcr.VCR()",
"",
"def compress_data(data, compression_level=9):",
@@ -171,8 +146,7 @@ def add_vcr_to_notebook(
"",
"custom_vcr.register_serializer('advanced_compressed', AdvancedCompressedSerializer())",
"custom_vcr.serializer = 'advanced_compressed'",
])
]
import_cell = nbformat.v4.new_code_cell(source="\n".join(vcr_import_lines))
import_cell.pop("id", None)
notebook.cells.insert(0, import_cell)
@@ -0,0 +1 @@
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truncated
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ine truncated
@@ -0,0 +1 @@
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truncated
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ine truncated
@@ -0,0 +1 @@
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truncated
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@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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@@ -1 +1 @@
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ine truncated
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truncated
@@ -1 +1 @@
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ine truncated
@@ -1 +1 @@
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ine truncated
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@@ -1 +1 @@
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truncated
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@@ -1 +1 @@
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truncated
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@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +1 @@
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@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -0,0 +1 @@
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ine truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
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 truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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@@ -1 +1 @@
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@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
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ine truncated
@@ -1 +1 @@
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ine truncated
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@@ -0,0 +1 @@
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ine truncated
@@ -0,0 +1 @@
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ine truncated
@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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truncated
@@ -1 +0,0 @@
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@@ -1 +0,0 @@
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ine truncated
@@ -1 +0,0 @@
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truncated
@@ -1 +0,0 @@
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@@ -0,0 +1 @@
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ine truncated
@@ -1 +1 @@
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ine truncated
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@@ -1 +1 @@
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ine truncated
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@@ -1 +1 @@
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ine 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