| import { LiquidityPoolKeysV4, MARKET_STATE_LAYOUT_V3, Market, TOKEN_PROGRAM_ID } from "@raydium-io/raydium-sdk"; | |
| import { Connection, Logs, ParsedInnerInstruction, ParsedInstruction, ParsedTransactionWithMeta, PartiallyDecodedInstruction, PublicKey } from "@solana/web3.js"; | |
| const RPC_ENDPOINT = 'https://api.mainnet-beta.solana.com'; | |
| const RAYDIUM_POOL_V4_PROGRAM_ID = '675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8'; | |
| const SERUM_OPENBOOK_PROGRAM_ID = 'srmqPvymJeFKQ4zGQed1GFppgkRHL9kaELCbyksJtPX'; | |
| const SOL_MINT = 'So11111111111111111111111111111111111111112'; | |
| const SOL_DECIMALS = 9; | |
| const connection = new Connection(RPC_ENDPOINT); |
To install the maui workload, you have two options:
dotnet workload install commands.msi files for each workload pack. Note that the concept of a "Visual Studio workload" is different than a ".NET workload".VS for Mac's installer and updater use dotnet workload install commands. It's considerably simpler to get a Mac machine to a clean state.
| Go to Bitbucket and create a new repository (its better to have an empty repo) | |
| git clone git@bitbucket.org:abc/myforkedrepo.git | |
| cd myforkedrepo | |
| Now add Github repo as a new remote in Bitbucket called "sync" | |
| git remote add sync git@github.com:def/originalrepo.git | |
| Verify what are the remotes currently being setup for "myforkedrepo". This following command should show "fetch" and "push" for two remotes i.e. "origin" and "sync" | |
| git remote -v |
| var _instance_num := -1 | |
| var _instance_socket: TCPServer | |
| func _init() -> void: | |
| if OS.is_debug_build(): | |
| _instance_socket = TCPServer.new() | |
| for n in range(0,4): | |
| if _instance_socket.listen(5000 + n) == OK: | |
| _instance_num = n | |
| break |
| """ | |
| ███████╗ █████╗ ███████╗████████╗ █████╗ ██████╗ ██╗ | |
| ██╔════╝██╔══██╗██╔════╝╚══██╔══╝██╔══██╗██╔══██╗██║ | |
| █████╗ ███████║███████╗ ██║ ███████║██████╔╝██║ | |
| ██╔══╝ ██╔══██║╚════██║ ██║ ██╔══██║██╔═══╝ ██║ | |
| ██║ ██║ ██║███████║ ██║ ██║ ██║██║ ██║ | |
| ╚═╝ ╚═╝ ╚═╝╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝ | |
| ██████╗ ███████╗ █████╗ ██████╗████████╗ | |
| ██╔══██╗ ██╔════╝ ██╔══██╗ ██╔════╝╚══██╔══╝ | |
| ██████╔╝ █████╗ ███████║ ██║ ██║ |
| import vertexai | |
| from vertexai.generative_models import GenerativeModel, ChatSession | |
| vertexai.init(project=project, location=location) | |
| model = GenerativeModel("gemini-1.5-pro-preview-0409") | |
| chat = model.start_chat() | |
| def get_chat_response(chat: ChatSession, prompt: str) -> str: | |
| text_response = [] | |
| responses = chat.send_message(prompt, stream=True) |
I've been asked by several people over time about my experience with the classes offered by Bradfield, and thought that I should save some future keystrokes by writing up a short gist for future reference. Hopefully this gist will be useful for others who are considering Bradfield and wondering it is worth it. My intended audience is primarily Launch School students who have completed the Core program and likely also Capstone, but the majority of this gist will be applicable to anyone who is a working/experienced software engineer.
Since late 2019, I've taken 4 short courses from the Bradfield School of Computer Science and in 2021 I enrolled in their Computer Science Intensive (CSI) program1. Overall, I've found the courses and CSI to be an excellent opportunity to grown my technical skills and broaden my knowledge of CS topics.
The courses I completed were:
| { | |
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| "javascript.suggest.autoImports": true, | |
| "javascript.updateImportsOnFileMove.enabled": "always", | |
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