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deleted all filed from the old code

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Cristian Lenta
2021-05-03 06:36:23 +00:00
parent 9ce36c2d0e
commit 9bd65713fe
111 changed files with 2 additions and 8338 deletions
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code/line_plots.py
-118
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@@ -1,118 +0,0 @@
import os
from experiment import Experiment
# noinspection PyUnresolvedReferences
from soup import Soup
from argparse import ArgumentParser
import numpy as np
import plotly as pl
import plotly.graph_objs as go
import colorlover as cl
import dill
from sklearn.manifold.t_sne import TSNE, PCA
def build_args():
arg_parser = ArgumentParser()
arg_parser.add_argument('-i', '--in_file', nargs=1, type=str)
arg_parser.add_argument('-o', '--out_file', nargs='?', default='out', type=str)
return arg_parser.parse_args()
def line_plot(names_exp_tuple, filename='lineplot'):
names, line_dict_list = names_exp_tuple
names = ['Weightwise', 'Aggregating', 'Recurrent']
if False:
data = []
base_scale = cl.scales['10']['div']['RdYlGn']
scale = cl.interp(base_scale, len(line_dict_list) + 1) # Map color scale to N bins
for ld_id, line_dict in enumerate(line_dict_list):
for data_point in ['ys', 'zs']:
trace = go.Scatter(
x=line_dict['xs'],
y=line_dict[data_point],
name='{} {}zero-fixpoints'.format(names[ld_id], 'non-' if data_point == 'zs' else ''),
line=dict(
# color=scale[ld_id],
width=5,
# dash='dash' if data_point == 'ys' else ''
),
)
data.append(trace)
if True:
data = []
base_scale = cl.scales['10']['div']['RdYlGn']
scale = cl.interp(base_scale, len(line_dict_list) + 1) # Map color scale to N bins
for ld_id, line_dict in enumerate(line_dict_list):
trace = go.Scatter(
x=line_dict['xs'],
y=line_dict['ys'],
name=names[ld_id],
line=dict( # color=scale[ld_id],
width=5
),
)
data.append(trace)
layout = dict(xaxis=dict(title='Trains per self-application', titlefont=dict(size=20)),
yaxis=dict(title='Average amount of fixpoints found',
titlefont=dict(size=20),
# type='log',
# range=[0, 2]
),
legend=dict(orientation='h', x=0.3, y=-0.3),
# height=800, width=800,
margin=dict(b=0)
)
fig = go.Figure(data=data, layout=layout)
pl.offline.plot(fig, auto_open=True, filename=filename)
pass
def search_and_apply(absolut_file_or_folder, plotting_function, files_to_look_for=[]):
if os.path.isdir(absolut_file_or_folder):
for sub_file_or_folder in os.scandir(absolut_file_or_folder):
search_and_apply(sub_file_or_folder.path, plotting_function, files_to_look_for=files_to_look_for)
elif absolut_file_or_folder.endswith('.dill'):
file_or_folder = os.path.split(absolut_file_or_folder)[-1]
if file_or_folder in files_to_look_for and not os.path.exists('{}.html'.format(absolut_file_or_folder[:-5])):
print('Apply Plotting function "{func}" on file "{file}"'.format(func=plotting_function.__name__,
file=absolut_file_or_folder)
)
with open(absolut_file_or_folder, 'rb') as in_f:
exp = dill.load(in_f)
names_dill_location = os.path.join(*os.path.split(absolut_file_or_folder)[:-1], 'all_names.dill')
with open(names_dill_location, 'rb') as in_f:
names = dill.load(in_f)
try:
plotting_function((names, exp), filename='{}.html'.format(absolut_file_or_folder[:-5]))
except ValueError:
pass
except AttributeError:
pass
else:
# This was either another FilyType or Plot.html alerady exists.
pass
if __name__ == '__main__':
args = build_args()
in_file = args.in_file[0]
out_file = args.out_file
search_and_apply(in_file, line_plot, ["all_data.dill"])