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4
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| Author | SHA1 | Date | |
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0b4e9eff14 | ||
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089cdd0ffb | ||
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fb0091fd57 | ||
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e820097701 |
@@ -79,7 +79,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
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## Additional resources
|
||||
|
||||
- [Guides](https://docs.langchain.com/oss/python/langgraph/guides): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
|
||||
- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
|
||||
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
|
||||
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
|
||||
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
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@@ -0,0 +1,3 @@
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# LangGraph examples
|
||||
|
||||
This directory should NOT be used for documentation. All new documentation must be added to `docs/docs/` directory.
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@@ -0,0 +1,33 @@
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{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
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||||
"id": "23544406",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/async.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
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||||
"language": "python",
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||||
"name": "python3"
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},
|
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"language_info": {
|
||||
"codemirror_mode": {
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||||
"name": "ipython",
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||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
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||||
"mimetype": "text/x-python",
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"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
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||||
"version": "3.12.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
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||||
"nbformat_minor": 5
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||||
}
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@@ -0,0 +1,33 @@
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||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
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||||
"id": "14f7ca50",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/branching.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
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"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.8"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "10251c1c",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
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"language": "python",
|
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"name": "python3"
|
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},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
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"version": 3
|
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},
|
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"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
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"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.1"
|
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}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
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}
|
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@@ -0,0 +1,33 @@
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||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "a4351a24",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
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"nbformat_minor": 5
|
||||
}
|
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@@ -0,0 +1,203 @@
|
||||
import functools
|
||||
from typing import Annotated, Any, Callable, Dict, List, Optional, Union
|
||||
|
||||
from langchain_community.adapters.openai import convert_message_to_dict
|
||||
from langchain_core.messages import AIMessage, AnyMessage, BaseMessage, HumanMessage
|
||||
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
|
||||
from langchain_core.runnables import Runnable, RunnableLambda
|
||||
from langchain_core.runnables import chain as as_runnable
|
||||
from langchain_openai import ChatOpenAI
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
from langgraph.graph import END, StateGraph, START
|
||||
|
||||
|
||||
def langchain_to_openai_messages(messages: List[BaseMessage]):
|
||||
"""
|
||||
Convert a list of langchain base messages to a list of openai messages.
|
||||
|
||||
Parameters:
|
||||
messages (List[BaseMessage]): A list of langchain base messages.
|
||||
|
||||
Returns:
|
||||
List[dict]: A list of openai messages.
|
||||
"""
|
||||
|
||||
return [
|
||||
convert_message_to_dict(m) if isinstance(m, BaseMessage) else m
|
||||
for m in messages
|
||||
]
|
||||
|
||||
|
||||
def create_simulated_user(
|
||||
system_prompt: str, llm: Runnable | None = None
|
||||
) -> Runnable[Dict, AIMessage]:
|
||||
"""
|
||||
Creates a simulated user for chatbot simulation.
|
||||
|
||||
Args:
|
||||
system_prompt (str): The system prompt to be used by the simulated user.
|
||||
llm (Runnable | None, optional): The language model to be used for the simulation.
|
||||
Defaults to gpt-3.5-turbo.
|
||||
|
||||
Returns:
|
||||
Runnable[Dict, AIMessage]: The simulated user for chatbot simulation.
|
||||
"""
|
||||
return ChatPromptTemplate.from_messages(
|
||||
[
|
||||
("system", system_prompt),
|
||||
MessagesPlaceholder(variable_name="messages"),
|
||||
]
|
||||
) | (llm or ChatOpenAI(model="gpt-3.5-turbo")).with_config(
|
||||
run_name="simulated_user"
|
||||
)
|
||||
|
||||
|
||||
Messages = Union[list[AnyMessage], AnyMessage]
|
||||
|
||||
|
||||
def add_messages(left: Messages, right: Messages) -> Messages:
|
||||
if not isinstance(left, list):
|
||||
left = [left]
|
||||
if not isinstance(right, list):
|
||||
right = [right]
|
||||
return left + right
|
||||
|
||||
|
||||
class SimulationState(TypedDict):
|
||||
"""
|
||||
Represents the state of a simulation.
|
||||
|
||||
Attributes:
|
||||
messages (List[AnyMessage]): A list of messages in the simulation.
|
||||
inputs (Optional[dict[str, Any]]): Optional inputs for the simulation.
|
||||
"""
|
||||
|
||||
messages: Annotated[List[AnyMessage], add_messages]
|
||||
inputs: Optional[dict[str, Any]]
|
||||
|
||||
|
||||
def create_chat_simulator(
|
||||
assistant: (
|
||||
Callable[[List[AnyMessage]], str | AIMessage]
|
||||
| Runnable[List[AnyMessage], str | AIMessage]
|
||||
),
|
||||
simulated_user: Runnable[Dict, AIMessage],
|
||||
*,
|
||||
input_key: str,
|
||||
max_turns: int = 6,
|
||||
should_continue: Optional[Callable[[SimulationState], str]] = None,
|
||||
):
|
||||
"""Creates a chat simulator for evaluating a chatbot.
|
||||
|
||||
Args:
|
||||
assistant: The chatbot assistant function or runnable object.
|
||||
simulated_user: The simulated user object.
|
||||
input_key: The key for the input to the chat simulation.
|
||||
max_turns: The maximum number of turns in the chat simulation. Default is 6.
|
||||
should_continue: Optional function to determine if the simulation should continue.
|
||||
If not provided, a default function will be used.
|
||||
|
||||
Returns:
|
||||
The compiled chat simulation graph.
|
||||
|
||||
"""
|
||||
graph_builder = StateGraph(SimulationState)
|
||||
graph_builder.add_node(
|
||||
"user",
|
||||
_create_simulated_user_node(simulated_user),
|
||||
)
|
||||
graph_builder.add_node(
|
||||
"assistant", _fetch_messages | assistant | _coerce_to_message
|
||||
)
|
||||
graph_builder.add_edge("assistant", "user")
|
||||
graph_builder.add_conditional_edges(
|
||||
"user",
|
||||
should_continue or functools.partial(_should_continue, max_turns=max_turns),
|
||||
)
|
||||
# If your dataset has a 'leading question/input', then we route first to the assistant, otherwise, we let the user take the lead.
|
||||
graph_builder.add_edge(START, "assistant" if input_key is not None else "user")
|
||||
|
||||
return (
|
||||
RunnableLambda(_prepare_example).bind(input_key=input_key)
|
||||
| graph_builder.compile()
|
||||
)
|
||||
|
||||
|
||||
## Private methods
|
||||
|
||||
|
||||
def _prepare_example(inputs: dict[str, Any], input_key: Optional[str] = None):
|
||||
if input_key is not None:
|
||||
if input_key not in inputs:
|
||||
raise ValueError(
|
||||
f"Dataset's example input must contain the provided input key: '{input_key}'.\nFound: {list(inputs.keys())}"
|
||||
)
|
||||
messages = [HumanMessage(content=inputs[input_key])]
|
||||
return {
|
||||
"inputs": {k: v for k, v in inputs.items() if k != input_key},
|
||||
"messages": messages,
|
||||
}
|
||||
return {"inputs": inputs, "messages": []}
|
||||
|
||||
|
||||
def _invoke_simulated_user(state: SimulationState, simulated_user: Runnable):
|
||||
"""Invoke the simulated user node."""
|
||||
runnable = (
|
||||
simulated_user
|
||||
if isinstance(simulated_user, Runnable)
|
||||
else RunnableLambda(simulated_user)
|
||||
)
|
||||
inputs = state.get("inputs", {})
|
||||
inputs["messages"] = state["messages"]
|
||||
return runnable.invoke(inputs)
|
||||
|
||||
|
||||
def _swap_roles(state: SimulationState):
|
||||
new_messages = []
|
||||
for m in state["messages"]:
|
||||
if isinstance(m, AIMessage):
|
||||
new_messages.append(HumanMessage(content=m.content))
|
||||
else:
|
||||
new_messages.append(AIMessage(content=m.content))
|
||||
return {
|
||||
"inputs": state.get("inputs", {}),
|
||||
"messages": new_messages,
|
||||
}
|
||||
|
||||
|
||||
@as_runnable
|
||||
def _fetch_messages(state: SimulationState):
|
||||
"""Invoke the simulated user node."""
|
||||
return state["messages"]
|
||||
|
||||
|
||||
def _convert_to_human_message(message: BaseMessage):
|
||||
return {"messages": [HumanMessage(content=message.content)]}
|
||||
|
||||
|
||||
def _create_simulated_user_node(simulated_user: Runnable):
|
||||
"""Simulated user accepts a {"messages": [...]} argument and returns a single message."""
|
||||
return (
|
||||
_swap_roles
|
||||
| RunnableLambda(_invoke_simulated_user).bind(simulated_user=simulated_user)
|
||||
| _convert_to_human_message
|
||||
)
|
||||
|
||||
|
||||
def _coerce_to_message(assistant_output: str | BaseMessage):
|
||||
if isinstance(assistant_output, str):
|
||||
return {"messages": [AIMessage(content=assistant_output)]}
|
||||
else:
|
||||
return {"messages": [assistant_output]}
|
||||
|
||||
|
||||
def _should_continue(state: SimulationState, max_turns: int = 6):
|
||||
messages = state["messages"]
|
||||
# TODO support other stop criteria
|
||||
if len(messages) > max_turns:
|
||||
return END
|
||||
elif messages[-1].content.strip() == "FINISHED":
|
||||
return END
|
||||
else:
|
||||
return "assistant"
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "a9014f94",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbots/information-gather-prompting.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "2b789e16",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/cloud/how-tos/langgraph_to_langgraph_cloud.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.1"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "1f2f13ca",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/code_assistant/langgraph_code_assistant.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.12.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
File diff suppressed because one or more lines are too long
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e9a58c69",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/configuration.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
@@ -0,0 +1,33 @@
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
"mimetype": "text/x-python",
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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@@ -0,0 +1,33 @@
|
||||
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|
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|
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -0,0 +1,33 @@
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -0,0 +1,33 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "f49876e1",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/subgraph.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "5106959e",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/subgraphs-manage-state.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "dc21501d",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/tool-calling-errors.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "7fd8bd65",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/tool-calling.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 4
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "83c2223f",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/sql-agent.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "11140167",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/tnt-llm/tnt-llm.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "9dffdb54",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/usaco/usaco.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "9c9cb15a",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/visualization.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "007ea2e9",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/web-navigation/web_voyager.ipynb"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -20,7 +20,7 @@ dependencies = [
|
||||
|
||||
[project.urls]
|
||||
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-postgres"
|
||||
Twitter = "https://x.com/LangChainAI"
|
||||
Twitter = "https://x.com/LangChain"
|
||||
Slack = "https://www.langchain.com/join-community"
|
||||
Reddit = "https://www.reddit.com/r/LangChain/"
|
||||
|
||||
|
||||
@@ -3,6 +3,7 @@ from __future__ import annotations
|
||||
import asyncio
|
||||
import json
|
||||
import random
|
||||
import threading
|
||||
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import Any, TypeVar, cast
|
||||
@@ -281,8 +282,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
async with self.lock:
|
||||
if self.is_setup:
|
||||
return
|
||||
if not self.conn.is_alive():
|
||||
await self.conn
|
||||
await _ensure_connected(self.conn)
|
||||
async with self.conn.executescript(
|
||||
"""
|
||||
PRAGMA journal_mode=WAL;
|
||||
@@ -609,3 +609,23 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
next_v = current_v + 1
|
||||
next_h = random.random()
|
||||
return f"{next_v:032}.{next_h:016}"
|
||||
|
||||
|
||||
async def _ensure_connected(conn: aiosqlite.Connection) -> None:
|
||||
if not _CONN_STARTED_CHECK(conn):
|
||||
await conn
|
||||
|
||||
|
||||
def _build_conn_started_check() -> Callable[[aiosqlite.Connection], bool]:
|
||||
is_alive = getattr(aiosqlite.Connection, "is_alive", None)
|
||||
if callable(is_alive):
|
||||
return lambda conn: conn.is_alive() # type: ignore[attr-defined]
|
||||
|
||||
def _started(conn: aiosqlite.Connection) -> bool:
|
||||
thread: threading.Thread | None = getattr(conn, "_thread", None)
|
||||
return False if thread is None else thread.is_alive()
|
||||
|
||||
return _started
|
||||
|
||||
|
||||
_CONN_STARTED_CHECK = _build_conn_started_check()
|
||||
|
||||
@@ -19,7 +19,7 @@ dependencies = [
|
||||
|
||||
[project.urls]
|
||||
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-sqlite"
|
||||
Twitter = "https://x.com/LangChainAI"
|
||||
Twitter = "https://x.com/LangChain"
|
||||
Slack = "https://www.langchain.com/join-community"
|
||||
Reddit = "https://www.reddit.com/r/LangChain/"
|
||||
|
||||
|
||||
Generated
+565
-424
File diff suppressed because it is too large
Load Diff
@@ -18,7 +18,7 @@ dependencies = [
|
||||
|
||||
[project.urls]
|
||||
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint"
|
||||
Twitter = "https://x.com/LangChainAI"
|
||||
Twitter = "https://x.com/LangChain"
|
||||
Slack = "https://www.langchain.com/join-community"
|
||||
Reddit = "https://www.reddit.com/r/LangChain/"
|
||||
|
||||
|
||||
@@ -26,7 +26,7 @@ inmem = [
|
||||
|
||||
[project.urls]
|
||||
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/cli"
|
||||
Twitter = "https://x.com/LangChainAI"
|
||||
Twitter = "https://x.com/LangChain"
|
||||
Slack = "https://www.langchain.com/join-community"
|
||||
Reddit = "https://www.reddit.com/r/LangChain/"
|
||||
|
||||
|
||||
@@ -38,7 +38,7 @@ Homepage = "https://docs.langchain.com/oss/python/langgraph/overview"
|
||||
Documentation = "https://reference.langchain.com/python/langgraph/"
|
||||
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/langgraph"
|
||||
Changelog = "https://github.com/langchain-ai/langgraph/releases"
|
||||
Twitter = "https://x.com/LangChainAI"
|
||||
Twitter = "https://x.com/LangChain"
|
||||
Slack = "https://www.langchain.com/join-community"
|
||||
Reddit = "https://www.reddit.com/r/LangChain/"
|
||||
|
||||
|
||||
@@ -30,7 +30,7 @@ dependencies = [
|
||||
|
||||
[project.urls]
|
||||
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/prebuilt"
|
||||
Twitter = "https://x.com/LangChainAI"
|
||||
Twitter = "https://x.com/LangChain"
|
||||
Slack = "https://www.langchain.com/join-community"
|
||||
Reddit = "https://www.reddit.com/r/LangChain/"
|
||||
|
||||
|
||||
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
|
||||
from langgraph_sdk.encryption import Encryption
|
||||
from langgraph_sdk.encryption.types import EncryptionContext
|
||||
|
||||
__version__ = "0.3.2"
|
||||
__version__ = "0.3.3"
|
||||
|
||||
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
|
||||
|
||||
@@ -38,7 +38,7 @@ class APIError(httpx.HTTPStatusError, LangGraphError):
|
||||
response = None
|
||||
|
||||
httpx.HTTPStatusError.__init__(self, message, request=req, response=response) # type: ignore[arg-type]
|
||||
LangGraphError.__init__(self)
|
||||
LangGraphError.__init__(self, message)
|
||||
|
||||
self.request = req
|
||||
self.message = message
|
||||
|
||||
@@ -18,7 +18,7 @@ path = "langgraph_sdk/__init__.py"
|
||||
|
||||
[project.urls]
|
||||
Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/sdk-py"
|
||||
Twitter = "https://x.com/LangChainAI"
|
||||
Twitter = "https://x.com/LangChain"
|
||||
Slack = "https://www.langchain.com/join-community"
|
||||
Reddit = "https://www.reddit.com/r/LangChain/"
|
||||
|
||||
|
||||
@@ -106,3 +106,39 @@ def test_field_extraction_from_json_body() -> None:
|
||||
assert err.code == "invalid_param"
|
||||
assert err.param == "limit"
|
||||
assert err.type == "invalid_request_error"
|
||||
|
||||
|
||||
def test_error_message_in_str_and_args() -> None:
|
||||
"""Test that error message is accessible via str() and args."""
|
||||
r = make_response(422, json_body={"message": "Validation failed"})
|
||||
with pytest.raises(UnprocessableEntityError) as ei:
|
||||
_raise_for_status_typed(r)
|
||||
err = cast("UnprocessableEntityError", ei.value)
|
||||
assert str(err) == "Validation failed"
|
||||
assert err.args == ("Validation failed",)
|
||||
assert err.message == "Validation failed"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"status,exc_type",
|
||||
[
|
||||
(400, BadRequestError),
|
||||
(401, AuthenticationError),
|
||||
(403, PermissionDeniedError),
|
||||
(404, NotFoundError),
|
||||
(409, ConflictError),
|
||||
(422, UnprocessableEntityError),
|
||||
(429, RateLimitError),
|
||||
(500, InternalServerError),
|
||||
],
|
||||
)
|
||||
def test_all_error_types_display_message(
|
||||
status: int, exc_type: type[APIStatusError]
|
||||
) -> None:
|
||||
"""Test that all error subclasses properly display their message."""
|
||||
r = make_response(status, json_body={"message": "test error message"})
|
||||
with pytest.raises(exc_type) as ei:
|
||||
_raise_for_status_typed(r)
|
||||
err = ei.value
|
||||
assert str(err) == "test error message"
|
||||
assert "test error message" in err.args
|
||||
|
||||
Reference in New Issue
Block a user