BrianHung

Keybase proof

I hereby claim:

• I am brianhung on github.
• I am blh (https://keybase.io/blh) on keybase.
• I have a public key ASCM2M22DbC7kHRp54zMxm2W_Iv2YVZmZPFwvD6jOXywiwo

To claim this, I am signing this object:

BrianHung

def Floyd_Warshall(distance_matrix):
    """
    
    An algorithm for finding shortest paths in a weighted graph (with no negative cycles).

    Source
        - https://en.wikipedia.org/wiki/Floyd–Warshall_algorithm
        
    Output:
        - shortest_distance: n**3 matrix from j to k using at most i vertices. 

BrianHung

    def row_reduce(M):
        """
        Assume M is a square matrix whose entries are of type Fraction.        
        """
        num_rows, num_columns = len(M), len(M[0])
        for i in range(num_rows):
            
            # Finds next row to act as ith pivot.
            next_row = find_next_row(M, i)
            if next_row == None:

BrianHung

from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request

from apiclient import errors
from apiclient.http import MediaIoBaseDownload
from googleapiclient.discovery import build

BrianHung

async function clearMessages() {
	const server = ""; // server id number
	const author = ""; // user id number

	const authToken = ""; // authToken - look inside a network packet
	const headers = { 'Authorization': authToken, 'Content-Type': 'application/json' };
	const baseURL = `https://discordapp.com/api/v6/channels`;
	let searchURL = `https://discordapp.com/api/v6/guilds/${server}/messages/search?author_id=${author}`;
	if (typeof channel !== 'undefined') searchURL = searchURL + `&channel_id=${channel}`;

BrianHung

import nltk
nltk.download('stopwords')

from nltk          import ngrams
from nltk.tokenize import RegexpTokenizer
from nltk.corpus   import stopwords

# Faster than looking at entire list; have to lowercase input.
stop_words = set(stopwords.words("english"))

BrianHung

def unrolled_UNet3D(inputs):
    """
    Implements the UNet model with 3D Convolutions. Refer to the following
    source code: https://github.com/jocicmarko/ultrasound-nerve-segmentation.
    """
    
    conv1 = Conv3D( 32, (3, 3), activation='relu', padding='same')(inputs)
    conv1 = Conv3D( 32, (3, 3), activation='relu', padding='same')(conv1)
    pool1 = MaxPooling3D(pool_size=(2, 2))(conv1)

BrianHung

!function(e){var t={};function i(n){if(t[n])return t[n].exports;var o=t[n]={i:n,l:!1,exports:{}};return e[n].call(o.exports,o,o.exports,i),o.l=!0,o.exports}i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(e,"__esModule",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&"object"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,"default",{enumerable:!0,value:e}),2&t&&"string"!=typeof e)for(var o in e)i.d(n,o,function(t){return e[t]}.bind(null,o));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,"a",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p="",i(i.s=44)}([function(e,t,i){(function(t){const{TimeoutError:n}=i(7),o=i(25)("puppeteer:error"),a=i(11);class r{static evalu

BrianHung

import {EditorState   } from "prosemirror-state"
import {StepMap       } from "prosemirror-transform"
import {keymap        } from "prosemirror-keymap"
import {undo, redo    } from "prosemirror-history"
import {EditorView    } from "prosemirror-view"
import {InputRule     } from "prosemirror-inputrules"
import {Node, Plugin  } from 'tiptap'
import {PluginKey     } from 'tiptap'
import {nodeInputRule } from 'tiptap-commands'
import {NodeSelection } from "prosemirror-state"

BrianHung

.ProseMirror .Math {
  display: contents;
}

.ProseMirror .Math .katex-editor {
  display: inline;
}

.ProseMirror .Math .katex-render .katex {
  font-size: 1em;