Luke Stanley lukestanley

## be_nice_with_langchain_decorators.py
# pylint: disable=too-few-public-methods,unused-argument,line-too-long,no-name-in-module
from typing import List
import logging

from pydantic import BaseModel, Field

from langchain.chat_models import ChatAnthropic
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain_decorators import llm_prompt, PromptTypes, GlobalSettings

## anthropic_fixing_langchain_decorators.txt


Human:
<file path=setup.py>
import setuptools

with open("src/langchain_decorators/__init__.py", "rt") as f:
    for line in f.readlines():
        if line.startswith("__version__"):
            __version__ = line.split("=")[1].strip(" \n\"")

## be_nice.py
import json
import time

from langchain.chat_models import ChatAnthropic
from langchain.schema import HumanMessage

FAST = "claude-instant-1"
GOOD = "claude-1.3"
model = GOOD

## equity_maternal_care_child_care_economic_empowerment.svg

      
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                lukestanley
                / equity_maternal_care_child_care_economic_empowerment.svg
            
            
              Created
              May 5, 2023 15:37
            
              
                I made this SVG with GPT-4 for Esther Dyson. I used https://editor.method.ac and https://www.rapidtables.com/web/tools/svg-viewer-editor.html
              
          
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## alpaca.py
# Credit to https://github.com/nsarrazin/serge - this is heavily copied from the API there and not very well yet but it might work.w
from typing import List, Optional
from uuid import UUID, uuid4
from pydantic import BaseModel, Field

from datetime import datetime

import subprocess, os
import asyncio

## kendraio_flow_with_graphql_for_local-loop_mutations.txt
A database of transactions between organisations was made with this SQL:

<code>
CREATE TABLE organisations ( id SERIAL PRIMARY KEY , name VARCHAR ( 255 ) NOT NULL );
CREATE TABLE transactions ( id SERIAL PRIMARY KEY , amount INT NOT NULL , from_organisation_id INT NOT NULL REFERENCES organisations ( id ), to_organisation_id INT NOT NULL REFERENCES organisations ( id ) );

INSERT INTO organisations ( name ) VALUES ( 'Acme' ), ( 'Widgets Inc' ), ( 'Foo Bar' );
INSERT INTO transactions ( amount , from_organisation_id , to_organisation_id ) VALUES ( 100 , 1 , 2 ), ( 200 , 2 , 3 ), ( 300 , 3 , 1 );

SELECT * FROM organisations ;

## echo_server.py
# A Flask server to echo HTTP request headers as JSON to investigate issues with a CORS proxy.

from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/')
def index():
    return jsonify(dict(request.headers))

## browser_with_thumbs_on_top.py
import sys
import time
import json
import os
import hashlib
from PySide2.QtCore import *
from PySide2.QtGui import *
from PySide2.QtWidgets import (
    QApplication,
    QTabWidget,

## xuuid.py
# xuuid.py
"""
xuuid 0.1.1 -- Extended Universally Unique Identifiers

Extremely large UUIDs that are:
    more certainly unique,
    descriptive,
    supported by tooling for short local reference.

There is a distinction made between "hard" and "soft" data for an identifier.

## convert.js
// We already have a system that allows creating templates with empty placeholder sections for pages of sites as JSON.
// We need to take JSON that looks like this and turn it into editable real JSON Schema:
template = {
  "name": "Great Example",
  "domain": "great.example",
  "websitemodel": [
    {
      "uuid": "44c2f597-79ef-49ed-9769-681f72f6b15e",
      "name": "About and 404 pages",
      "pagemodel": [
	# pylint: disable=too-few-public-methods,unused-argument,line-too-long,no-name-in-module
	from typing import List
	import logging

	from pydantic import BaseModel, Field

	from langchain.chat_models import ChatAnthropic
	from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
	from langchain_decorators import llm_prompt, PromptTypes, GlobalSettings


	Human:
	<file path=setup.py>
	import setuptools

	with open("src/langchain_decorators/__init__.py", "rt") as f:
	for line in f.readlines():
	if line.startswith("__version__"):
	__version__ = line.split("=")[1].strip(" \n\"")
	import json
	import time

	from langchain.chat_models import ChatAnthropic
	from langchain.schema import HumanMessage

	FAST = "claude-instant-1"
	GOOD = "claude-1.3"
	model = GOOD
	# Credit to https://github.com/nsarrazin/serge - this is heavily copied from the API there and not very well yet but it might work.w
	from typing import List, Optional
	from uuid import UUID, uuid4
	from pydantic import BaseModel, Field

	from datetime import datetime

	import subprocess, os
	import asyncio
	A database of transactions between organisations was made with this SQL:

	<code>
	CREATE TABLE organisations ( id SERIAL PRIMARY KEY , name VARCHAR ( 255 ) NOT NULL );
	CREATE TABLE transactions ( id SERIAL PRIMARY KEY , amount INT NOT NULL , from_organisation_id INT NOT NULL REFERENCES organisations ( id ), to_organisation_id INT NOT NULL REFERENCES organisations ( id ) );

	INSERT INTO organisations ( name ) VALUES ( 'Acme' ), ( 'Widgets Inc' ), ( 'Foo Bar' );
	INSERT INTO transactions ( amount , from_organisation_id , to_organisation_id ) VALUES ( 100 , 1 , 2 ), ( 200 , 2 , 3 ), ( 300 , 3 , 1 );

	SELECT * FROM organisations ;
	# A Flask server to echo HTTP request headers as JSON to investigate issues with a CORS proxy.

	from flask import Flask, request, jsonify

	app = Flask(__name__)

	@app.route('/')
	def index():
	return jsonify(dict(request.headers))
	import sys
	import time
	import json
	import os
	import hashlib
	from PySide2.QtCore import *
	from PySide2.QtGui import *
	from PySide2.QtWidgets import (
	QApplication,
	QTabWidget,
	# xuuid.py
	"""
	xuuid 0.1.1 -- Extended Universally Unique Identifiers

	Extremely large UUIDs that are:
	more certainly unique,
	descriptive,
	supported by tooling for short local reference.

	There is a distinction made between "hard" and "soft" data for an identifier.
	// We already have a system that allows creating templates with empty placeholder sections for pages of sites as JSON.
	// We need to take JSON that looks like this and turn it into editable real JSON Schema:
	template = {
	"name": "Great Example",
	"domain": "great.example",
	"websitemodel": [
	{
	"uuid": "44c2f597-79ef-49ed-9769-681f72f6b15e",
	"name": "About and 404 pages",
	"pagemodel": [