def main():
user_home = os.environ.get('HOME', '')
echo_path = f"{user_home}/.echo"
ensure_path_exists(echo_path)
while True:
try:
user_input = prompt(
'echo==> ',
history=FileHistory(f'{echo_path}/echo-history'),
auto_suggest=AutoSuggestFromHistory())
process_input(user_input)
except KeyboardInterrupt:
exit(0)
MODEL = get_model_config(NETWORK_KEY, glove=USE_GLOVE)
PREPROCESSING_ALGORITHM = get_preprocessing_algorithm(
PREPROCESSING_ALGORITHM_ID)
if USE_GLOVE:
MODEL['GLOVE'] = {'SIZE': 200}
GLOVE = f'glove.twitter.27B.{MODEL["GLOVE"]["SIZE"]}d.txt'
GLOVE_FILE_PATH = f'./data/glove/{GLOVE}'
GLOVE_EMBEDDINGS = get_glove_embeddings(GLOVE_FILE_PATH)
MODEL['UUID'] = str(uuid.uuid4())
MODEL['PREPROCESSING_ALGORITHM'] = PREPROCESSING_ALGORITHM
MODEL['PREPROCESSING_ALGORITHM_UUID'] = PREPROCESSING_ALGORITHM_ID
MODEL['DIR'] = f'./data-saved-models/glove-false/{NETWORK_KEY}/'
ensure_path_exists(MODEL['DIR'])
MODEL['PREFIX'] = f'{NETWORK_KEY}-{PREPROCESSING_ALGORITHM_ID}-SEED-{SEED}'
train_data['preprocessed'] = tweets_preprocessor.preprocess(
train_data.text,
PREPROCESSING_ALGORITHM,
keywords=train_data.keyword,
locations=train_data.location)
test_data['preprocessed'] = tweets_preprocessor.preprocess(
test_data.text,
PREPROCESSING_ALGORITHM,
keywords=test_data.keyword,
locations=test_data.location)
train_inputs, val_inputs, train_targets, val_targets = train_test_split(
def store_ip(temp_path, ip):
utils.ensure_path_exists(temp_path)
with open(os.path.join(temp_path, 'myip.prev_ip'), 'w') as f:
f.write(ip)
#! /usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
from damping_analyzer import Wave, Waves
from math import pi
from scipy import signal
import matplotlib.gridspec as gridspec
from utils import ensure_path_exists
from os.path import join
if __name__ == '__main__':
sampling_rate = 200
t1 = 5
IMG_DIR = 'imgs/'
ensure_path_exists(IMG_DIR)
freqs = [0.5, 1, 1.5, 2, 2.5, 3, 3.3, 4, 5, 8]
x_fmt_gen_eq = r'$x(t) = A e^{-\omega_0 \zeta t} \cos( \omega_d t )$'
#############
# UNDERdamped x'(t)
#fmt_gen_eq = r'$\dot{x}(t) = -\omega_0 \zeta A e^{-\omega_0 \zeta t} \cos( \omega_0 \sqrt{1-\zeta^2} t ) - \omega_0 \sqrt{1-\zeta^2} A e^{-\omega_0 \zeta t} \sin( \omega_0 \sqrt{1-\zeta^2} t )$'
#fmt_gen_eq = r'$\dot{x}(t) = -\omega_0 A e^{-\omega_0 \zeta t} (\zeta \cos( \omega_0 \sqrt{1-\zeta^2} t ) + \omega_0 \sqrt{1-\zeta^2} \sin( \omega_0 \sqrt{1-\zeta^2} t ))$'
#fmt_gen_eq = r'$\dot{x}(t) = -\omega_0 A e^{-\omega_0 \zeta t} (\zeta \cos( \omega_d t ) + \omega_d \sin( \omega_d t ))$'
xdot_fmt_gen_eq = r'$\dot{x}(t) = -\omega_0 A e^{-\omega_0 \zeta t} (\zeta \cos( \omega_d t ) + \omega_d \sin( \omega_d t ))$'
#############
# UNDERdamped x(t)