Goal: Automatically detect when team members are traveling to Tempo's SF or NY offices and make it easy for people to meet in-person.
Approach: Detect flights on Google Calendar → Send Slack DM with confirmation buttons → Add confirmed visits to shared calendar + announce in channel.
| Hey, I'm gakonst-17802178 and I have contributed to the ZKP2P Trusted Setup Ceremony V2.1 HDFC. | |
| The following are my contribution signatures: | |
| Circuit # 1 (zkp2p-hdfc-send-v2) | |
| Contributor # 6 | |
| Contribution Hash: 4129d1a1 16e3e942 323037bc d0dcd64f | |
| 24a87792 422d693b b40ffea5 a904b4e8 | |
| 9287853f 350e019f aa7a2cd9 abc4dd5b | |
| 4e7e176f ae9147e5 32931ded 32697e9d |
| Hey, I'm gakonst-17802178 and I have contributed to the nocturne-v1 MPC Phase2 Trusted Setup ceremony. | |
| The following are my contribution signatures: | |
| Circuit # 1 (canonaddrsigcheck) | |
| Contributor # 40 | |
| Contribution Hash: 187ce374 e6e07ecd 14bef325 43547fd4 | |
| 72edbc2b c360053d ec7c1e5f d86d372e | |
| d7af126f 555146c7 9e3a076d db0e4a5a | |
| 1964978b 1fc8a659 dadf716e fe0ab62d |
| import math | |
| def choose(n, k): return math.factorial(n) // math.factorial(k) // math.factorial(n-k) | |
| def prob(n, k, p): return math.exp(math.log(p) * k + math.log(1-p) * (n-k) + math.log(choose(n, k))) | |
| def probge(n, k, p): return sum([prob(n, i, p) for i in range(k, n+1)]) | |
| committee = 6125 | |
| half = committee / 2 | |
| for p in [0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51]: |
| ΚΑΤΗΓΟΡΙΑ ΜΕΣΟΥ,ΟΝΟΜΑ ΜΕΣΟΥ,ΝΟΜΟΣ,ΠΟΣΟ ΒΑΣΕΙ ΕΝΤΟΛΩΝ,ΤΙΜΟΛΟΓΗΜΕΝΟ ΠΟΣΟ (ΠΡΟ ΚΡΑΤΗΣΕΩΝ),ΣΥΝΟΛΙΚΗ ΑΞΙΑ ΜΕ ΦΠΑ | |
| ΕΝΤΥΠΟ,AGRENDA,,6.000,00,6.000,00,7.440,00 | |
| ΕΝΤΥΠΟ,ANAΓΝΩΣΤΗΣ ΕΛΑΣΣΟΝΑΣ,ΛΑΡΙΣΗΣ,1.500,00,1.500,00,1.860,00 | |
| ΕΝΤΥΠΟ,ATHENS REVIEW OF BOOKS,ΑΤΤΙΚΗΣ,5.000,00,5.000,00,6.200,00 | |
| ΕΝΤΥΠΟ,AXIANEWS,,6.000,00,6.000,00,7.440,00 | |
| ΕΝΤΥΠΟ,DEAL NEWS,,5.000,00,5.000,00,6.200,00 | |
| ΕΝΤΥΠΟ,DYTIKH FREE PRESS,ΑΤΤΙΚΗΣ,2.000,00,2.000,00,2.480,00 | |
| ΕΝΤΥΠΟ,KONTRA NEWS,,36.000,00,36.000,00,44.640,00 | |
| ΕΝΤΥΠΟ,LIVE SPORT,,4.000,00,4.000,00,4.960,00 | |
| ΕΝΤΥΠΟ,METROSPORT,ΘΕΣΣΑΛΟΝΙΚΗΣ,8.000,00,8.000,00,9.920,00 |
| pragma solidity ^0.6.6; | |
| contract HegicReproduceBug { | |
| Option[] public options; | |
| enum State { Active, Exercised, Expired } | |
| struct Option { | |
| State state; | |
| uint expiration; | |
| } |
| pragma solidity ^0.6.2; | |
| contract Test { | |
| function test1() external { | |
| numOfPeaks(200); | |
| } | |
| function test2() external { | |
| numOfPeaks2(200); |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import pylab | |
| from scipy.optimize import curve_fit | |
| import numpy as np | |
| import datetime | |
| # load the data | |
| names = ["date", "infections", "age", "gender", "area", "source"] | |
| df = pd.read_csv( |
I hereby claim:
To claim this, I am signing this object:
| import Web3 from 'web3' | |
| import { Contract, Account, Signature } from 'web3/types'; | |
| // Converts any contract to a signed contract | |
| class SignedContract { | |
| account: Account | |
| contract: Contract | |
| address: string | |
| web3: Web3 |