onesamblack

# found in the LICENSE file.
import os
import argparse
import re
import atexit
import signal
import yaml
import datetime
import subprocess
from functools import partial

onesamblack

import re
import os

def read_content(filepath):
    with open(filepath, "r") as f:
        return f.read()


ebuild_special_chars = ["*", "?", "+", "(", ")", "[", "]", ":", "=", ">", "<", "-",".","_","/"]
def compose_regex(parts=[], group="", compile=True):

onesamblack

#!/usr/bin/python3

import sys
import os
import re
import psutil
import subprocess
import socket
from dotenv import load_dotenv
from twilio.rest import Client

onesamblack

# this was a rough cut that I used in a small project, but thought it would be useful to have in case I need to refer back
# to a keras version of this. I've since switched to pytorch
# define the model object (subclass model)
# initial params
window = 30
num_cells_lstm = 32
learning_rate = 1e-6
layer_dropout = 0.5
cell_dropout = 0.2
batch_size = 16

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# I have since lost the original author of this -> but I've made a few edits

def weighted_categorical_crossentropy(weights):
    """
    A weighted version of keras.objectives.categorical_crossentropy
    
    
    Variables:
        weights: numpy array of shape (C,) where C is the number of classes
    

onesamblack

def circular_time(ts, start_cycle=None, end_cycle=None, interval='s', as_series=True):
  """
  returns a tuple (sin,cos) representing the timestamp as a coordinate in a unit circle
  the calculation is 2*pi*(ratio of interest)

  e.g. for a time on a 24hour clock, you have 2*pi*(seconds since midnight/seconds in day)
  this cycle can be abstracted to days by using (days elapsed /days in year)
  or custom cycles such as (days elapsed since start of cycle / days in cycle)
  :param ts: a pandas datetime object representing the time in a 24 hour clock
  """

onesamblack

"""
this is a really rough function that I use to organize applying multiple calculations to a df - it caches in a way,
in that it doesn't recalculate the measure if it exists. It also can be used in the case of dependencies.

I think there are better libraries that exist for this now - but it's handy just in case

"""

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