我去市场买了10个苹果。我给了邻居2个苹果和修理工2个苹果。然后我去买了5个苹果并吃了1个。我还剩下多少苹果?
write a python script to output from 1 to 100
write the game "snake" in python using pygame
我去市场买了10个苹果。我给了邻居2个苹果和修理工2个苹果。然后我去买了5个苹果并吃了1个。我还剩下多少苹果?
write a python script to output from 1 to 100
write the game "snake" in python using pygame
{ | |
"bundleId": "com.knollsoft.Rectangle", | |
"shortcuts": { | |
"maximizeHeight": { | |
"keyCode": 126, | |
"modifierFlags": 917504 | |
}, | |
"rightHalf": { | |
"keyCode": 124, | |
"modifierFlags": 1572864 |
from langchain import hub | |
from langchain.agents import AgentExecutor, load_tools | |
from langchain.agents.format_scratchpad import format_log_to_str | |
from langchain.agents.output_parsers import ReActJsonSingleInputOutputParser | |
from langchain.tools.render import render_text_description | |
from langchain_community.llms.bedrock import Bedrock | |
from langchain_community.chat_models.bedrock import BedrockChat | |
import dotenv | |
dotenv.load_dotenv() |
1. # create new .py file with code found below | |
2. # install ollama | |
3. # install model you want “ollama run mistral” | |
4. conda create -n autogen python=3.11 | |
5. conda activate autogen | |
6. which python | |
7. python -m pip install pyautogen | |
7. ollama run mistral | |
8. ollama run codellama | |
9. # open new terminal |
--- | |
apiVersion: v1 | |
kind: PersistentVolume | |
metadata: | |
name: s3-express-pv | |
spec: | |
capacity: | |
storage: 100Gi # ignored, required | |
accessModes: | |
- ReadWriteMany # supported options: ReadWriteMany / ReadOnlyMany |
apiVersion: kyverno.io/v1 | |
kind: ClusterPolicy | |
metadata: | |
name: add-daemonset-fargate-anti-affinity | |
spec: | |
validationFailureAction: Enforce | |
background: false | |
rules: | |
- name: add-node-anti-affinity | |
match: |
[user] | |
name = <username> | |
email = <email> | |
signingkey = <gpg-sign-key> | |
[core] | |
editor = vi | |
[init] | |
defaultBranch = main | |
[color] | |
ui = auto |
This document summarizes notes taken while to make the VMWare Tech preview work on Apple M1 Pro, it originated from discussions in hashicorp/vagrant-vmware-desktop#22
First install Rosetta if not already done, this is needed to run x86 code: