hovedguy

hovedguy

import os
import re
import shutil
from tqdm import tqdm

mainDir = r"C:\SUVOPAM_local\Dolwin5\02_Aba\boatLanding\specialCases\gl1\_withHydroMassFact"
omittInp = None  # None if nothing to remove
newText = '396000.0, \n'
subDirDumpNewInps = '_modifiedInps'

hovedguy

import vlc
import pafy
import time
import pygetwindow as gw

urls = ["https://www.youtube.com/watch?v=w_Ma8oQLmSM", "https://www.youtube.com/watch?v=M_dZDwz9QLs"]


# create and play vlc media
def playVLC(url):

hovedguy

'''
04-09-2020, rev.01
Copy files of particular extension from a directory (nested directories as well) to new directory
'''

import glob
import shutil

main_dir = r'D:\Machine Learning\_Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp'
target_dir = r'C:\Users\suvop\Desktop\target_dir'

hovedguy

/*
  Physical Pixel

  An example of using the Arduino board to receive data from the computer. In
  this case, the Arduino boards turns on an LED when it receives the character
  'H', and turns off the LED when it receives the character 'L'.

  The data can be sent from the Arduino Serial Monitor, or another program like
  Processing (see code below), Flash (via a serial-net proxy), PD, or Max/MSP.

hovedguy

/*
  Physical Pixel

  An example of using the Arduino board to receive data from the computer. In
  this case, the Arduino boards turns on an LED when it receives the character
  'H', and turns off the LED when it receives the character 'L'.

  The data can be sent from the Arduino Serial Monitor, or another program like
  Processing (see code below), Flash (via a serial-net proxy), PD, or Max/MSP.

hovedguy

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

hovedguy

'''
remember to delete headers except last line
'''

import pandas as pd
import os

path = r"C:\Suvopam\ABA\19_Jorund_sbn\LCS1\trafo.rpt"

df = pd.read_csv(path, delim_whitespace=True)

hovedguy

import pandas as pd
import time
import os

start_time = time.time()

full_path = r"C:\Temp\Example_3\Job-1.inp"  # inp full file path
block_size = 5e-3
invokeErrBlSzThrsh = 5e6  # number of block threshold before invokes error

hovedguy

import pandas as pd
import time

start_time = time.time()

full_path = r"C:\Temp\Example_3\Job-1.inp" # inp full file path

with open(full_path, "r") as f:
    f_data = f.read()
    file_list_ = f_data.split("\n") # creates list of all lines