timbeiko

import csv

with open('goerli_td_1m.csv') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    line_count = 0
    avg = 0.0 # Average difficulty added per block
    deltas = [] # List of added difficulty per block 

    # Calculate average over the entire set, and convert deltas column to a list 
    for row in csv_reader:

timbeiko

I contributed to the Semaphore Trusted Setup Multi-Party Ceremony.
The following are my contribution signatures:
Circuit: semaphore16 
          Contributor # 31
          Hash: 69be5a73 d3b947f4 20edfab3 9b939f97
 24b2efc8 45f51ba3 c3636e47 4ad09c40
 c7f1770a fb82bc31 2338207d f859369a
 389ef15b d1e1713f f728256f a83eb4e2

timbeiko

2021-07-21 10:39:25 UTC  43/50 peers   5 MiB chain 0 bytes queue  RPC:  1 conn,   13 req/s,  450 ��s
2021-07-21 10:39:28 UTC Imported #10679535 0xfa58���713c (22 txs, 4.19 Mgas, 367 ms, 21.36 KiB)
2021-07-21 10:39:36 UTC Imported #10679536 0x2822���5836 (7 txs, 1.19 Mgas, 313 ms, 2.21 KiB)
2021-07-21 10:39:51 UTC Imported #10679537 0xe936���2598 (115 txs, 7.99 Mgas, 2628 ms, 33.61 KiB)
2021-07-21 10:39:53 UTC Block import failed for #10679538 (0x1252���25f1)
Error: Error(Execution(NotEnoughCash { required: 1840000000000000, got: 1556899999118000 }), State { next_error: None, backtrace: InternalBacktrace { backtrace: Some(   0: <unknown>
   1: <unknown>
   2: <unknown>
   3: <unknown>
   4: <unknown>

timbeiko

import json
import networkx as nx
import numpy as np 
import matplotlib.pyplot as plt
import random
import hashlib 

SHARD_COUNT = 3
MAX_BLOCK_HEIGHT = 5 
VALIDATOR_COUNT = 3

timbeiko

pragma solidity 0.4.24;

contract Migrations {
  address public owner;
  uint public last_completed_migration;

  modifier restricted() {
    if (msg.sender == owner) _;
  }

timbeiko

pragma solidity ^0.4.17;

contract Adoption {
    address[16] public adopters;
    
    function adopt(uint petId) public returns (uint) {
        require(petId >= 0 && petId <= 15);
        adopters[petId] = msg.sender;
        return petId;
    }

timbeiko

INFO:tensorflow:Total processed documents: 7
INFO:tensorflow:num correct tokens: 14
INFO:tensorflow:total tokens: 47
INFO:tensorflow:Seconds elapsed in evaluation: 1.16, eval metric: 29.79%

timbeiko

Input: Bob brought the pizza to Alice because she was cold .
Parse:
brought VBD ROOT
 +-- Bob NNP nsubj
 +-- pizza NN dobj
 |   +-- the DT det
 +-- to IN prep
 |   +-- Alice NNP pobj
 +-- cold JJ advcl
 |   +-- because IN mark

timbeiko

Input: Bob brought the pizza to Alice because she was cold .
Parse:
brought VBD ROOT
 +-- Bob NNP nsubj
 +-- pizza NN dobj
 |   +-- the DT det
 +-- to IN prep
 |   +-- Alice NNP pobj
 +-- cold JJ advcl
 |   +-- because IN mark

timbeiko

Traceback (most recent call last):
  File "test.py", line 11, in <module>
    sentences = parser.raw_parse_sents(("Hello, My name is Melroy.", "What is your name?"))
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 153, in raw_parse_sents
    return self._parse_trees_output(self._execute(cmd, '\n'.join(sentences), verbose))
  File "/Library/Python/2.7/site-packages/nltk/parse/stanford.py", line 219, in _execute
    stdout=PIPE, stderr=PIPE)
  File "/Library/Python/2.7/site-packages/nltk/internals.py", line 136, in java
    raise OSError('Java command failed : ' + str(cmd))
OSError: Java command failed : ['/Library/Java/JavaVirtualMachines/jdk1.8.0_60.jdk/Contents/Home/bin/java',