sbarratt

import argparse
import requests

def get_allocation(address, blockchain):
    id = {
      "sol": 1,
      "eth": 2,
      "sui": 21,
      "aptos": 22,
      "inj": 19,

sbarratt

from flask import Flask, request
from flask_restful import Resource, Api
import requests

app = Flask(__name__)
api = Api(app)

default_rpc = "https://rpc.builder0x69.io/"

rpcs = [

sbarratt

import pandas as pd
import time
import requests
import time
import hmac
from requests import Request
import sys
import json
import os

sbarratt

from ctc import evm
from scipy import sparse
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

transfers = await evm.async_get_erc20_transfers(
    token='0x956f47f50a910163d8bf957cf5846d573e7f87ca',
    event_name='Transfer',
)

sbarratt

package main

import (
    "fmt"
    "log"
    "bytes"
    "math/big"
    "encoding/json"
    "io/ioutil"
    "net/http"

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def get_jacobian(net, x, noutputs):
    x = x.squeeze()
    n = x.size()[0]
    x = x.repeat(noutputs, 1)
    x.requires_grad_(True)
    y = net(x)
    y.backward(torch.eye(noutputs))
    return x.grad.data

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"""
Author: Shane Barratt
Email: sbarratt@stanford.edu
K-means script that works with NaN entries.
"""

import numpy as np
import IPython as ipy
import matplotlib.pyplot as plt

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"""
This script provides coordinate transformations from Geodetic -> ECEF, ECEF -> ENU
and Geodetic -> ENU (the composition of the two previous functions). Running the script
by itself runs tests.
based on https://gist.github.com/govert/1b373696c9a27ff4c72a.
"""
import math

a = 6378137
b = 6356752.3142

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sbarratt

"""CNN from https://www.microsoft.com/en-us/research/wp-content/uploads/2003/08/icdar03.pdf"""

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)

import tensorflow as tf

def weight_variable(shape):
    initial = tf.random_normal(shape, stddev=0.05)
    return tf.Variable(initial)