hrik2001

import requests
from pprint import pprint
import matplotlib.pyplot as plt
import math
import numpy as np
from typing import List, Tuple, Optional

def get_orderbook_data(symbol, api="https://api.hyperliquid.xyz/info", nsig_figs=2):
    print(f"{symbol} orderbook data")
    response = requests.post("https://api.hyperliquid.xyz/info", json={"type": "l2Book", "coin": symbol, "nSigFigs": nsig_figs, "mantissa": None})

hrik2001

0x646d94da79e83b3a47a2314351fdfe5fb32faa761c0e910c608c162e4380071d 0xd52C5795778Fee69F8606DC046C4Ceb45f882022 183.8638054802643
0x5e19c865559453da150e572e7aba45c0d5eb44ca87255bf86faec29e2b8964f2 0x95B0cB330519DB2bCaf74B90C1BDe3D62f673718 255.0
0x64010e6c5bec6b097fc4fb99777d43066972ee975eb527005fd2647f9060fa94 0x6ED916E093EbCCc790109f4a2073Bff50Cf9160E 160.0
0xd4036dc2ebfbe84077eaee68afa55896923d7dc7e06d99a456e67df124e0026f 0xa15AAF9B9a85652CC7CD7fdA9f85e6404B806a50 306.55959715873496
0x90ae6a4cae9680bf8a8ce51349527d99bffa349c0c3220bca341f6c220e4f889 0x6b238d58bd9238A65e3A1B59e52722866F026663 305.175497604689
0x2d50bd9987843e53cef07047566e9b18689818edb7a469fdec169abc1eacbed6 0x8e0e3D4a18AA44904ebda87C5B42545d1cEC2e5f 151.0
0x1035333143b435612c96883dcf620d7187a3a22e4952472338c19c51c6259a6b 0xa3301C1654895fCC8853BD622D0A43e7789706f7 97.09007708329183
0xfd9725c3ccf21319c0f7ea612591b0f720a6c5c3f6bfd5a64c233be54803f2bb 0xb3fF73f6D56f381d093D1b2fb20215Aa2C79dA0E 150.09424332161646
0x6730b5067944ef62b830b755cfe80ef40

hrik2001

from web3 import Web3
import json

w3 = Web3(Web3.HTTPProvider(f'https://arb-mainnet.g.alchemy.com/v2/L_HXVya-RV6U6SwLHWf1eUdlgwN20J-7'))
m_address = "0xEcDF2cE74e19D4921Cc89fEfb963D35E0E5171D3"

datastore_address = "0xfd70de6b91282d8017aa4e741e9ae325cab992d8"

# marketToken
# indexToken

hrik2001

from web3 import Web3
import json
import pandas as pd

w3 = Web3(Web3.HTTPProvider(f'https://arb-mainnet.g.alchemy.com/v2/L_HXVya-RV6U6SwLHWf1eUdlgwN20J-7'))

# we need data for the following strike and maturity
strike = 204169420152563078078024764
maturity = 1686830400

hrik2001

from web3 import Web3
import json

w3 = Web3(Web3.HTTPProvider("https://rpc.mantle.xyz"))
# w3 = Web3(Web3.HTTPProvider("https://rpc.testnet.mantle.xyz"))
# w3 = Web3(Web3.HTTPProvider(f'https://arb-mainnet.g.alchemy.com/v2/L_HXVya-RV6U6SwLHWf1eUdlgwN20J-7'))


with open("abi/TimeswapV2PeripheryNoDexLendGivenPrincipal.json") as f:
    abi_lend_given_principal_nodex = json.load(f)["abi"]

hrik2001

# execute this at v2-deploy directory
import os
import json
path_name = './deployments/polygon'
files = (os.listdir(path_name))
for file_name in files:
    if file_name.endswith('.json'):
        with open(path_name + '/' + file_name) as f:
            d = json.load(f)
            print("address of ", file_name, d['address'])

hrik2001

File	% Lines	% Statements	% Branches	% Funcs
../../node_modules/@openzeppelin/contracts/token/ERC20/ERC20.sol	23.64% (13/55)	22.58% (14/62)	13.64% (3/22)	27.78% (5/18)
../../node_modules/@openzeppelin/contracts/token/ERC20/utils/SafeERC20.sol	0.00% (0/17)	0.00% (0/23)	0.00% (0/10)	0.00% (0/7)
../../node_modules/@openzeppelin/contracts/utils/Address.sol	0.00% (0/26)	0.00% (0/28)	0.00% (0/16)	0.00% (0/13)
../../node_modules/@openzeppelin/contracts/utils/Context.sol

hrik2001

▶forge test --match-test  testFuzzDistributeTokenMultipleAddressesSuccess -vvvvv
[⠢] Compiling...
[⠊] Compiling 86 files with 0.8.17
[⠘] Solc 0.8.17 finished in 27.91s
Compiler run successful

Running 1 test for test/utils/BatchDistributor.t.sol:BatchDistributorTest
[FAIL. Reason: Assertion failed. Counterexample: calldata=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

hrik2001

GSoC'22: Personal Recommendation of a track

See this blog at MetaBrainz Blogs

Hi Everyone!

I am Shatabarto Bhattacharya (also known as riksucks on IRC and hrik2001 on Github). I am an undergraduate student pursuing Information Technology from UIET, Panjab University, Chandigarh, India. This year I participated in Google Summer of Code under MetaBrainz and worked on implementing a feature to send personal recommendation of a track to multiple followers, along with a write up. My mentors for this project were Kartik Ohri (lucifer on IRC) and Nicolas Pelletier (monkey on IRC)

Proposal

For readers, who are not acquianted with ListenBrainz, it is a website where you can integrate multiple listening services and view and manage all your listens at a unified platform. One can not only peruse their own listening habits but also find other interesting listeners and interact with them. Moreover, one can even

hrik2001

import requests
import time
import datetime
import json

def search_pincode(numdays , pincode , min_age_limit = 18):
    '''
    numdays -- int that makes you look n days into the future
    pincode -- put pincode in string
    min_age_limit -- put 18 for 18+ (default) , 45 for 45+ and 0 for everyone