def file_handler():
if request.method == 'GET':
pages = request.args.get('pages', default=10, type=int)
parse.parser(pages)
rooms = request.args.get('rooms', default=2, type=int)
data_clean.clean_data(rooms)
return readFileHandler('clean_data.csv', request)
else:
text = request.form['text']
return writeFileHandler('clean_data.csv', text, request)
def main(argv):
if len(argv) < 3:
return 1
css = argv[1]
html = argv[2]
doc = ht.document_fromstring( open(html).read() )
css_text = open(css).read()
rules = parser().parseString(css_text)
tr = cs.HTMLTranslator()
result_rules = []
rejected_rules = []
for r in rules:
if check_rule(r, doc):
result_rules.append( r )
print( r.text(), end='' )
else:
print('rejected:', r.text(exclude=False), file=sys.stderr)
rejected_rules.append( r )
print()
print ("rules before:\t", len(rules), file=sys.stderr)
print ("rules after:\t", len(result_rules), file=sys.stderr)
#print ("rejected rules:", file=sys.stderr)
#for r in rejected_rules:
# print(r.text(exclude=False), file=sys.stderr, end='')
sys.exit()
def main(argv):
if len(argv) < 3:
return 1
css = argv[1]
html = argv[2]
doc = ht.document_fromstring(open(html).read())
css_text = open(css).read()
rules = parser().parseString(css_text)
tr = cs.HTMLTranslator()
result_rules = []
rejected_rules = []
for r in rules:
if check_rule(r, doc):
result_rules.append(r)
print(r.text(), end='')
else:
print('rejected:', r.text(exclude=False), file=sys.stderr)
rejected_rules.append(r)
print()
print("rules before:\t", len(rules), file=sys.stderr)
print("rules after:\t", len(result_rules), file=sys.stderr)
#print ("rejected rules:", file=sys.stderr)
#for r in rejected_rules:
# print(r.text(exclude=False), file=sys.stderr, end='')
sys.exit()
def __init__(self, args):
Qt.QApplication.__init__(self, args)
#languages
self.iso = iso639
self.languages = []
for language in self.iso.data:
if self.iso.to_iso639_1(language['name']):
self.languages.append(language['name'])
#init
self.parser = parser()
#ask for xliff
#add layout
self.widget = Qt.QWidget()
self.gridLayout = Qt.QGridLayout()
self.widget.setLayout(self.gridLayout)
#init widgets
self.table = translationTable()
self.sourceLanguageBox = Qt.QComboBox()
self.targetLanguageBox = Qt.QComboBox()
self.toLabel = Qt.QLabel("to")
self.translateText = TextEdit()
self.enterButton = Qt.QPushButton("enter")
self.exportToiOS = Qt.QPushButton("export to iOS")
self.exportToAndroid = Qt.QPushButton("export to Android")
#modify widgets
self.sourceLanguageBox.addItems(self.languages)
self.targetLanguageBox.addItems(self.languages)
#place widgets
self.gridLayout.addWidget(self.table, 1, 0, 5, 5)
self.gridLayout.addWidget(self.sourceLanguageBox, 0, 0, 1, 2)
self.gridLayout.addWidget(self.targetLanguageBox, 0, 3, 1, 2)
self.gridLayout.addWidget(self.toLabel, 0, 2, 1, 1)
self.gridLayout.addWidget(self.translateText, 6, 0, 4, 2)
self.gridLayout.addWidget(self.enterButton, 6, 4, 1, 1)
self.gridLayout.addWidget(self.exportToiOS, 7, 4, 1, 1)
self.gridLayout.addWidget(self.exportToAndroid, 8, 4, 1, 1)
#show widgets
self.widget.show()
self.loadStrings()
self.setLanguageBoxes()
#Signals
self.targetLanguageBox.currentIndexChanged.connect(
self.table.wipeTranslations)
self.translateText.enterPressed.connect(self.nextTranslation)
self.exportToiOS.clicked.connect(self.createXLIFF)
self.exportToAndroid.clicked.connect(self.createXML)
self.targetLanguageBox.currentIndexChanged.connect(self.changeLanguage)
self.table.keyPressed.connect(self.giveFocusToTextEdit)
self.exec_()
def main():
args = parser()
if args is None:
exit()
if args.verbose:
print('Arguments parsed....')
# Model instance
vgg = VGG(args.model_path, args.pool_type, args.lalpha)
if args.verbose:
print('Model created....')
# Content and Style Images
content_image = load_image(os.path.join(args.content_path,
args.content_image),
max_size=args.max_size)
style_images = [
load_image(os.path.join(args.style_path, image),
shape=(content_image.shape[1], content_image.shape[0]))
for image in args.style_images
]
if args.verbose:
print('Content and style images loaded....')
if args.initial_type == 'content':
init_gen_image = content_image
elif args.initial_type == 'style':
init_gen_image = style_images[0]
elif args.initial_type == 'random':
init_gen_image = get_content_image(content_image, args.noise_ratio,
args.seed)
if args.verbose:
print('Generated image initialized....')
# Stylize instance
stylize = Stylize(vgg, content_image, style_images, init_gen_image, args)
if args.verbose:
print('Style-model created....')
print('Generating image....')
# Transfer style
gen_image = stylize.transfer_style()
if args.verbose:
print('Image generated....')
# Saving the image to destination path
save_image(args.out_filepath, gen_image)
if args.verbose:
print('Generated image saved....')
print('Completed!!!! :)')
def main():
os.system("clear")
print "Removing all the previous known hosts "
os.system("rm -f /root/.ssh/known_hosts")
print " Scanning The Network "
#scan.scan_now()
print " Parsing the Data from the nodes "
parse.parser()
# time.sleep(5)
l = raw_input("enter any key to continue ====> ")
while True:
os.system("clear")
print("""
\t\t\t##############################
\t\t\t# CONFIGURATION MODE #
\t\t\t##############################
\t\t\t1. Automatic Configuration
\t\t\t2. Manual Configuration
""")
choice = raw_input("\tEnter Choice ")
if int(choice) == 1:
auto_config()
break
elif int(choice) == 2:
man_config()
break
else:
# noinspection PyUnusedLocal
xx = raw_input("Enter a Valid Option! Press Any Key To Retry ")
continue
hdfs_config.hdfs_menu()
mapred_config.mr_menu()
def __init__(self,nomUtilisateur,nomFichier):
self.id = nomUtilisateur
self.horloge = 0.0
self.annuaire = annuaire.Annuaire()
self.scene = parse.parser(nomFichier, self.annuaire)
#print self.annuaire.chercher("guide")
#x = input("suite")
# self.agents = agents.Agents()
self.camera = camera.Camera(scene=self.scene)
look, angle, up = self.scene.getLookAt()
self.camera.setLookAt(look,angle,up)
# init de la connexion reseau
self.connexionPrincipale = reseau.Connexion()
self.connexionPrincipale.emettre("ID %s" % (self.id))
def setup():
global textures
global scene
global laCamera
glEnable(GL_DEPTH_TEST)
glEnable(GL_TEXTURE_2D)
glAlphaFunc(GL_GREATER,0.4)
glEnable(GL_ALPHA_TEST)
laCamera = camera.Camera()
scene = parse.parser('scene.xml')
def __init__(self,nomUtilisateur,nomFichier):
self.id = nomUtilisateur
self.horloge = 0.0
self.annuaire = annuaire.Annuaire()
self.scene = parse.parser(nomFichier, self.annuaire)
self.camera = camera.Camera(scene=self.scene)
look, angle, up = self.scene.getLookAt()
self.camera.setLookAt(look,angle,up)
self.avatars = avatar.Avatars()
unAvatar = avatar.Avatar(url="../data/obj/penguin.obj")
self.avatars.ajouter("pingouin",unAvatar)
# init de la connexion reseau
self.connexionPrincipale = reseau.Connexion(host='127.0.0.1',port=50000)
self.connexionPrincipale.emettre("ID %s" % (self.id))
def prepare(chosen_file, set_length):
dirname = os.getcwd()
dirname += '/data/'
data_parser = parser()
files = []
for file in os.listdir(dirname):
if file.endswith(".DAT"):
files.append(file)
chosen_test_set = chosen_file
file_data_train = []
file_data_test = []
for i in range(len(files)):
data_parser.parse_data(dirname + files[i])
temp = data_parser.get_all_com_fbk().values
if i == chosen_test_set:
file_data_test.append(temp)
else:
file_data_train.append(temp)
train_sets = []
test_sets = []
for file in file_data_train:
sets = list(chunk_list(file, set_length))
for set in sets:
temp = dataset(set)
if temp.num_steps < set_length:
temp.pad_size(set_length)
if temp.init_mean[0] <= 15 and temp.init_mean[1] <= 65:
train_sets.append(temp)
random.shuffle(train_sets)
for file in file_data_test:
sets = list(chunk_list(file, set_length))
for set in sets:
temp = dataset(set)
if temp.num_steps < set_length:
temp.pad_size(set_length)
if temp.init_mean[0] <= 15 and temp.init_mean[1] <= 65:
test_sets.append(temp)
return train_sets, test_sets
def crawl(self, base_url, paras, parser, writer=None):
dl = self.downloader
url = base_url % paras
try:
response = dl.session.get(url)
except:
print('cannot download url:[%s]' % url)
print("sys err info:", sys.exc_info()[0])
print("start to sleep for %s" % self.sleep_time)
time.sleep(self.sleep_time)
print("Woke up, crawl again...")
return self.crawl(base_url, paras, parser, writer)
else:
res = parser(response)
if 'reaction' in res and res['reaction'] == 'retry':
print("Ajax json is broken, I will sleep for 1' and retry...")
time.sleep(60)
res = self.crawl(base_url, paras, parser, writer)
if writer:
writer(res, url)
return res
def test_conflict_pair(self):
mock_parser = parser()
hc_classes = [111, 108, 359, 714, 1]
pref_dict = {1: [111, 108, 359, 714], 2: [1]}
correct_result = {
111: {
108: 1,
359: 1,
714: 1,
1: 0
},
108: {
111: 1,
359: 1,
714: 1,
1: 0
},
359: {
111: 1,
108: 1,
714: 1,
1: 0
},
714: {
111: 1,
108: 1,
359: 1,
1: 0
},
1: {
111: 0,
108: 0,
359: 0,
714: 0
}
}
result = mock_parser.conflict_pair(hc_classes, pref_dict)
maximum = 1
self.assertEqual(result[0], correct_result)
self.assertEqual(result[1], maximum)
def from_dict(cls, d: dict) -> 'CodePack':
root = None
stack = list()
codes = dict()
receive = dict()
for i, line in enumerate(d['structure'].split('\n')): # os.linesep
split_idx = line.index('Code')
hierarchy = len(line[1:split_idx - 1])
code_str = line[split_idx:]
p = parser(Code.blueprint(code_str))
attr = p.parse(code_str).named
if attr['id'] not in codes:
codes[attr['id']] = Code(id=attr['id'],
source=d['source'][attr['id']],
env=attr.get('env', None),
image=attr.get('image', None),
owner=attr.get('owner', None))
code = codes[attr['id']]
receive[code.id] = literal_eval(attr['receive'])
if i == 0:
root = code
while len(stack) and stack[-1][1] >= hierarchy:
n, h = stack.pop(-1)
if len(stack) > 0:
stack[-1][0] >> n
stack.append((code, hierarchy))
while len(stack):
n, h = stack.pop(-1)
if len(stack) > 0:
stack[-1][0] >> n
for id, code in codes.items():
for arg, sender in receive[id].items():
code.receive(arg) << codes[sender]
return cls(d['_id'],
code=root,
subscribe=d['subscribe'],
owner=d.get('owner', None))
def test_sorted_conflict_pair(self):
mock_parser = parser()
def __init__(self, args):
Qt.QApplication.__init__(self, args)
#languages
self.iso = iso639
self.languages = []
for language in self.iso.data:
if self.iso.to_iso639_1(language['name']):
self.languages.append(language['name'])
#init
self.parser = parser()
#ask for xliff
#add layout
self.widget = Qt.QWidget()
self.gridLayout = Qt.QGridLayout()
self.widget.setLayout(self.gridLayout)
#init widgets
self.table = translationTable()
self.sourceLanguageBox = Qt.QComboBox()
self.targetLanguageBox = Qt.QComboBox()
self.toLabel = Qt.QLabel("to")
self.translateText = TextEdit()
self.enterButton = Qt.QPushButton("enter")
self.exportToiOS = Qt.QPushButton("export to iOS")
self.exportToAndroid = Qt.QPushButton("export to Android")
#modify widgets
self.sourceLanguageBox.addItems(self.languages)
self.targetLanguageBox.addItems(self.languages)
#place widgets
self.gridLayout.addWidget(self.table, 1,0,5,5)
self.gridLayout.addWidget(self.sourceLanguageBox, 0,0, 1,2)
self.gridLayout.addWidget(self.targetLanguageBox,0,3,1,2)
self.gridLayout.addWidget(self.toLabel,0,2,1,1)
self.gridLayout.addWidget(self.translateText, 6,0,4,2)
self.gridLayout.addWidget(self.enterButton,6,4,1,1)
self.gridLayout.addWidget(self.exportToiOS,7,4,1,1)
self.gridLayout.addWidget(self.exportToAndroid,8,4,1,1)
#show widgets
self.widget.show()
self.loadStrings()
self.setLanguageBoxes()
#Signals
self.targetLanguageBox.currentIndexChanged.connect(self.table.wipeTranslations)
self.translateText.enterPressed.connect(self.nextTranslation)
self.exportToiOS.clicked.connect(self.createXLIFF)
self.exportToAndroid.clicked.connect(self.createXML)
self.targetLanguageBox.currentIndexChanged.connect(self.changeLanguage)
self.table.keyPressed.connect(self.giveFocusToTextEdit)
self.exec_()
ir += " " + node.data
return ir
if __name__ == "__main__":
with open("testfiles/testfile_1.txt", 'r') as test:
code = test.read()
scan = scanner(code)
scan.lexical()
tokens = scan.tokens
for token in tokens:
print(token)
print()
parsing = parser(tokens, "grammar2.txt")
print("LL Grammar")
for i in parsing.grammar:
for j in parsing.grammar[i]:
if j[0] == '':
print(i, '->', "''")
else:
print(i, '->', ' '.join(j))
parsing.get_FIRST()
parsing.get_FOLLOW()
print("\nFIRST")
for i in parsing.first:
print(i, parsing.first[i])
fn = ''#{{{
exp = ''
for i,arg in enumerate(sys.argv):
if arg == '-f':
fn = sys.argv[i+1]
elif arg == '-exp':
exp = sys.argv[i+1]
if fn == '':
print 'Please specify a data file'
sys.exit(1)
if exp == '':
print "You're very dull"
sys.exit(1)#}}}
file_dict=parser(fn)
'''
Format:
{file_id:{'modification_time': 1231285728.0, 'user_id': 0, 'file_id': 5030,
'block_size_in_bytes': 524288, 'path_to_file': ' /0/1/2/3/4/5/6/7/8/9',
'size_in_bytes': 1000, 'group_id': 0, 'creation_time': 1231285728.0,
'permissions': '-rwxrwxr--'}...}
'''
if exp == 'unique-fid':
get_unique_items(file_dict,'file_id')
elif exp == 'unique-uid':
get_unique_items(file_dict,'user_id')
elif exp == 'unique-gid':
def get_files(path):
file_dict = parser(path)
return file_dict
#Number of requests for which we obtain least MSE (only requests of lengths that are multiples of 2 are considered)
from parse import parser
import states
import chained
import numpy as np
from sklearn.metrics import mean_squared_error
order = 2
y_true = []
y_pred = []
mse = []
p = parser()
p.parse_file() #File name can be changed in parse.py
text = p.write_bytes
text = states.write_bytes_states(text)
pred = chained.markov_chain(text[:2], order)
print pred
y_true.append(np.float(text[3]))
y_pred.append(np.float(pred[0]))
mse.append(mean_squared_error(y_true, y_pred))
print 'len' + str(len(text))
for j in xrange(4, len(text) - 8, 8):
for i in xrange(j, (j * 2) + 1, 2):
pred = chained.markov_chain(text[:i], order)
y_true = list()
y_pred = list()
y_true.append([float(s) for s in (text[i + 1:(2 * i - 1)])])
y_pred.append([float(s) for s in (pred[:i - 2])])
def inter_arrival():
p = parser()
p.parse_file()
text = p.timestamp
text = states.interarrival_states(text)
chained.markov_chain(text, order)
###################################################
help(reticle.alignMark)
issubclass(reticle.alignMark, reticle.overhead)
eQuadMainL0 = reticle.ebeamQuad()
isinstance(eQuadMainL0, reticle.ebeamQuad)
###################################################
# UT-1 Parse the primary Leica portion of
# a Photo Info file
###################################################
read = reader.reader()
read.setName("pa0756.photo")
#read.setName("pa0758.photo")
read.setPath("./testTargets/")
read.read()
leicaParse = parse.parser()
leicaParse.setLines(read.getLines())
leicaParse.setBegString("Leica Marks")
leicaParse.setEndString("Scan")
leicaParse.parse()
leicaParse.getbOccur()
write = writer.writer()
write.setName("leica.parse")
write.setPath("./")
write.setLines(leicaParse.getpLines())
write.write()
###############################
# Parse out primary lines
text = leicaParse.getpLines()
pLines = []
# Usage:
# python cluster_and_count.py <LANL_snapshot_file> DBSCAN_epsilon_value DBSCAN_n_value
#
if len(sys.argv) == 1:
path_to_snapshots = "/Users/ian/Desktop/datasets/lanl_fs/anon-all-fs/"
snapshot_file_path = path_to_snapshots + "anon-lnfs-fs4.txt"
eps = 10
n = 100
else:
snapshot_file_path = sys.argv[1]
eps = sys.argv[2]
n = sys.argv[3]
#parse the snapshot into a file dictionary
file_dict = parse.parser(snapshot_file_path)
#get overall counts
users, groups, files = get_counts(file_dict)
print "--Counts--"
print "Users:", users
print "Groups:", groups
print "Files:", files
#cluster
#pull out the mtimes from the file_dict
#NOTE WE ARE TRUNCATING AT 2000 files initially
keys = file_dict.iterkeys()
from __future__ import print_function
import sys, os
from pprint import pprint
sys.path.append(
os.path.join(
os.path.dirname(
os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
'src'))
from parse import initialize_optimade_parser, parser
ls = initialize_optimade_parser(spaces_hack=True)
demo_string = 'filter=NOT a > b OR c = 100 AND f = "C2 H6"'
filter_ast = parser(ls, demo_string)
pprint(filter_ast)
assert (filter_ast == ('Filter', ('Keyword', ('filter=', 'filter=')),
('Expression',
('Term',
('Atom', ('NOT', 'NOT'),
('Comparison', ('Value', ('Identifier',
'a')), ('Operator', '>'),
('Value', ('Identifier', 'b'))))), ('OR', 'OR'),
('Expression',
('Term',
('Atom',
('Comparison', ('Value', ('Identifier', 'c')),
('Operator', '='),
import parse as ps
import codecs
p = ps.parser()
result = 'hostname,tld,port,path,queue,segment\n'
with codecs.open('../data/url-data.csv', encoding='utf-8') as f:
data = f.read()
data_arr = data.split('\n')
del (data_arr[0])
for line in data_arr:
line_result = ''
line_arr = line.split(',')
if len(line_arr) > 1 and line_arr[1] == 'bad':
_, hostname, tld, port, path, queue, segment = p.parse(line_arr[0])
if not hostname:
continue
parts_arr = [hostname, tld, port, path, queue, segment]
for part in parts_arr:
if part:
line_result += part + ','
else:
line_result += ','
line_result = line_result[:-1] + '\n'
result += line_result
with codecs.open('../data/url-data2.csv', encoding='utf-8') as f:
data = f.read()
data_arr = data.split('\n')
del (data_arr[0])
import parse
import evalu
#for one loop, interpreter receives input string from user and it prints results.
#var_dict is dictionary for user's variable.
print("LISP Interpreter")
var_dict = {}
while (1):
buffer = input('>')
while (1):
stack = []
for i in buffer:
if (i == "("):
stack.append(i)
elif (i == ")"):
stack.pop()
if (len(stack) != 0): # 괄호검사후 짝이 안맞으면 다시 입력값을 받는다
print("Not match pair of '()'")
break
else:
try: # 괄호검사후 짝이 맞으면 코드를 처리해준다.
lex_result = lex.lexer(buffer)
parse_result = parse.parser(var_dict, lex_result)
evalu.sementic_analysis(var_dict, parse_result)
except NotImplementedError:
pass
break
def should_normalize_whitespace(self):
text = "Capacity limits of information processing\n in the brain"
parsed = parse.parser(text)
assert parsed.words() == "Capacity limits of information processing in the brain"
def casm_parse(tokens):
ast = parser()(tokens, 0)
return ast.value
def ost_chain():
p = parser()
p.parse_file()
text = p.stripe_count
text = states.ost_stripe_states(text)
chained.markov_chain(text, order)
def func():
"""
Input Parameters
------------------------------------------------------------
"""
thresh_init = 5000000
file_path = "anon-lnfs-fs4.txt"
n_clusters_lo = 10
n_clusters_hi = 11
bin = 6
exclude_uid = True
"""
------------------------------------------------------------
"""
# parse contents
snapshot_path = file_path
file_dict = parse.parser(snapshot_path)
n_samples = len(file_dict)
# obtain different permutations for further observation
input = [
"file_id", "user_id", "group_id", "size_in_bytes", "creation_time",
"modification_time", "block_size_in_bytes"
]
#input_list = itertools.permutations(input, 3)
input_list = [["creation_time", "modification_time", "user_id"]]
# plotting
for single_input in input_list:
x_axis, y_axis, z_data = single_input
# label the units
x_label = x_axis + ' (unit: s)' if 'time' in x_axis else x_axis
y_label = y_axis + ' (unit: s)' if 'time' in y_axis else y_axis
cbar_label = z_data + ' (unit: s)' if 'time' in z_data else z_data
# binary search for appropiate threshold point
thresh = thresh_init
thresh_lo = 0
thresh_hi = 3 * thresh_init
# initialize data lists
x = []
y = []
z = []
for file_id, file_data in file_dict.items():
# add normalization
x.append(file_data[x_axis])
y.append(file_data[y_axis])
z.append(file_data[z_data])
data = numpy.concatenate(([x], [y]))
data = data.T
x_ex = []
y_ex = []
z_ex = []
if exclude_uid:
for index in xrange(len(z)):
if z[index] != 0:
x_ex.append(x[index])
y_ex.append(y[index])
z_ex.append(z[index])
x = x_ex
y = y_ex
z = z_ex
data = numpy.concatenate(([x], [y]))
data = data.T
# clustering with expected clusters
while True:
clusters = hcluster.fclusterdata(data,
thresh,
criterion="distance")
count_clusters = len(set(clusters))
if thresh_lo >= thresh_hi:
break
if count_clusters > n_clusters_hi:
thresh_lo = thresh
thresh = (thresh + thresh_hi) / 2
continue
if count_clusters < n_clusters_lo:
thresh_hi = thresh
thresh = (thresh_lo + thresh) / 2
continue
break
n_clusters = []
for i in clusters:
if i not in n_clusters:
n_clusters.append(i)
# uid
aux = []
for i in xrange(bin):
aux.append(i)
counter = collections.Counter(z)
most_common = []
most_common = counter.most_common(bin)
zz2 = []
for i in xrange(len(z)):
zz2.append(bin / 2)
for i, (num, frequency) in enumerate(most_common):
color = bin / 2
if i % 2 == 0:
color = aux.pop(0)
else:
color = aux.pop(len(aux) - 1)
for j in xrange(len(z)):
if num == z[j]:
zz2[j] = color
shapes = ['o', 'h', 'D', 'v', '^', 's', '<', '*', '>', 'H', '.']
cm = plt.cm.get_cmap('RdYlBu')
legend_name_list = []
for i in xrange(len(n_clusters)):
points = []
z2 = []
for pos, j in enumerate(clusters):
if j == n_clusters[i]:
points.append(data[pos])
z2.append(zz2[pos])
legend_name_list.append(str(i))
plt.scatter(*numpy.transpose(points),
c=z2,
s=100,
alpha=1,
marker=shapes[i],
linewidths=0,
label=i,
cmap=cm)
# set label
plt.xlabel(x_label)
plt.ylabel(y_label)
# set title
exp = 0
thresh_decinal = float(thresh)
while thresh_decinal > 2:
thresh_decinal /= 10
exp += 1
thresh_standard_form = '%.2f * 10^%d' % (thresh_decinal, exp)
title = "threshold: %s, number of clusters: %d" % (
thresh_standard_form, len(set(clusters)))
plot_title = plt.title(title)
plot_title.set_position([.5, 1.05])
# handle legends
plt.legend(loc='lower right', markerscale=0.6, title='clusters')
ax, _ = mpl.colorbar.make_axes(plt.gca(), shrink=1)
#cbar = mpl.colorbar.ColorbarBase(ax, cmap=cm,
# norm=mpl.colors.Normalize(vmin=min(z), vmax=bin))
bounds = numpy.linspace(0, bin, bin + 1)
norm = mpl.colors.BoundaryNorm(bounds, cm.N)
cbar = mpl.colorbar.ColorbarBase(ax,
cmap=cm,
norm=norm,
spacing='proportional',
ticks=bounds,
boundaries=bounds,
format='%1i')
cbar.set_clim(0, bin)
cbar.set_label(cbar_label)
# save images
file_name = x_axis + ' ' + y_axis + ' ' + z_data
#plt.savefig(file_name)
plt.show()
plt.clf()
def wb_chain():
p = parser()
p.parse_file() #File name can be changed in parse.py
text = p.write_bytes
text = states.write_bytes_states(text)
chained.markov_chain(text, order)
def get_context_data(self, **kwargs):
context = super(IndexView, self).get_context_data(**kwargs)
context['result'] = parse.parser(settings.BASE_DIR + "/vasprun.xml")
return context
def rb_chain():
p = parser()
p.parse_file()
text = p.read_bytes
text = states.write_bytes_states(text)
chained.markov_chain(text, order)
difference = max_steps - self.num_steps
filler = np.zeros(difference)
self.ycom = np.concatenate((self.ycom, filler))
self.yfbk = np.concatenate((self.yfbk, filler))
self.errors = np.concatenate((self.errors, filler))
self.num_steps = len(self.ycom)
actions = [
1, .9, .8, .7, .6, .5, .4, .3, .2, .1, 0, -.1, -.2, -.3, -.4, -.5, -.6,
-.7, -.8, -.9, -1
]
action_size = len(actions)
dirname = os.getcwd()
dirname += '/data/'
data_parser = parser()
files = []
for file in os.listdir(dirname):
if file.endswith(".DAT"):
files.append(file)
file_data = []
for file in files:
data_parser.parse_data(dirname + file)
temp = data_parser.get_y().values
file_data.append(temp)
set_length = 500
datasets = []
for file in file_data:
sets = list(chunk_list(file, set_length))
not_nones = [
arg for arg in ['verify', 'output']
if getattr(args, arg) not in {None, False}
]
if len(not_nones) != 1:
raise ValueError(
'One and only one argument in (v/verify, o/output) must be specified'
)
mode = not_nones[0]
logging.info(f'Selected mode is "{mode}"')
with open(args.config, 'r') as file:
config = json.load(file)
logger.info(f'Configuration is {config}')
for file_path in files:
with open(file_path, 'r') as file:
contents = file.read()
parsed = parser(contents, file_path)
formatted = formatter(*parsed, file_path, config)
if mode == 'output':
output_file_path = file_path if args.output_prefix is None else os.path.join(
args.output_prefix, file_path)
output_file_folder = os.sep.join(
output_file_path.split(os.sep)[:-1])
os.makedirs(output_file_folder, exist_ok=True)
with open(output_file_path, 'w') as file:
file.write(formatted)
def __init__(self, res):
self.__parser = parser(res)
self.__good = False
import knowledge, parse, commands
print "Beginning processing..."
know = knowledge.knowledge()
pars = parse.parser( know )
comm = commands.commands( know, pars )
while True:
data = raw_input(">>>")
res = comm( data )
if res:
if res < 0:
break
continue
#else process as usual
pars( data )
