m0sys

#!/usr/bin/env sh

# NOTE: First, have to ignore the following warnings to make it build on M1 Chip.
#
#       -Wno-constant-logical-operand -Wno-format-nonliteral -Wno-self-assign
#
#       To do so the above line should be appended to consts CFLAGS and CXXFLAGS
#       under the 'Programs producing files for the HOST machine' section of 
#       the generated Makefile in dir 'build-gdb'.

bitbug42

using NBitcoin;
using NBitcoin.RPC;
using System;
using System.IO;
using System.Linq;
using System.Text;


class OpReturnScan
{

aparrish

agentcooper

from PyPDF2.generic import (
    DictionaryObject,
    NumberObject,
    FloatObject,
    NameObject,
    TextStringObject,
    ArrayObject
)

# x1, y1 starts in bottom left corner

aparrish

Writing Poetry with Procedure: A Workshop

Led by Allison Parrish

Description

Practitioners in the field of procedural writing have been using rules, procedures and computer programs to create innovative literary work since the invention of the digital computer. Far from the bland imitation evoked by the phrase "computer-generated poetry," these techniques facilitate the creation of work with aesthetic and emotional affordances sometimes difficult to achieve through conventional compositional techniques: serendipitous beauty, precisely imitative satire, vertiginous wonder at the infinite. In this workshop, participants will learn about the history of computer-generated writing and sample a range of off-the-shelf, freely-available tools on the web to create their own—without writing any actual lines of code. No previous programming experience is required.

Outline

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

karpathy

"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:
  
  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

cbare

class Dynamic(dict):
  """Dynamic objects are just bags of properties, some of which may happen to be functions"""
  def __init__(self, **kwargs):
    self.__dict__ = self
    self.update(kwargs)

  def __setattr__(self, name, value):
    import types    
    if isinstance(value, types.FunctionType):
      self[name] = types.MethodType(value, self)