def UpdateNetList(self,
state=None,
info=None,
force_check=False,
firstrun=False):
if self._Daemon == None:
return
if not state:
state, trash = self._Daemon.GetConnectionStatus()
print("state")
pp(state)
print("Trash: ")
pp(trash)
if force_check or self._PrevWicdState != state:
self.GenNetworkList() ## refresh the network list
if info != None:
if len(info) > 3:
_id = int(info[3])
if _id < len(self._WirelessList):
self._WirelessList[_id].UpdateStrenLabel(str(info[2]))
self._PrevWicdState = state
def print_dup(self):
"""
打印重复图片信息
:return:
"""
beeprint.pp(self.__dup_name_dict)
return self
def feature_outcome_statistics(how_many_documents=-1, db='log_feature'):
db = Mongo.getInstance()[db]
names = [
collection for collection in db.list_collection_names()
if not collection.startswith('system.')
]
stats_dict = {}
for collection_name in names:
c = db[collection_name]
start_date = None
end_date = None
count_true = 0
# for idx, d in enumerate(c.find().sort([("timestamp", pymongo.DESCENDING)])):
for idx, d in enumerate(c.find().sort([("_id", pymongo.DESCENDING)])):
if idx == 0:
start_date = d['timestamp']
count_true += 1 if d['outcome'] == True else 0
if idx == how_many_documents - 1:
break
stats_dict[collection_name] = {
'name': collection_name,
'number positive outcomes': count_true,
'perc positive outcomes': count_true / idx,
'start date': start_date.strftime("%Y-%m-%d %H:%M"),
'end date': d['timestamp'].strftime("%Y-%m-%d %H:%M"),
}
for key in stats_dict.keys():
pp(stats_dict[key])
def print_info(self):
"""
打印图片信息
:return:
"""
beeprint.pp(self.__info_dict)
return self
def create(self, request):
cp = request.data.copy()
cp['year'] = request.data['year'] + '-01-01'
volume = int(cp['volume'])
# generate questions
# questions = serializers.serialize("json", QuestionTr.objects.order_by('?')[:volume])
questions = QuestionTr.objects.order_by('?')[:volume].values()
question_ids = list(questions.values_list('id', flat=True))
cp['questions'] = str(question_ids)
beeprint.pp(cp)
serializer = self.get_serializer(data=cp)
serializer.is_valid(raise_exception=True)
self.perform_create(serializer)
exam_id = serializer.data["id"]
# Update ExamTr for questions field
# s = ExamTr.objects.filter(id=exam_id).first()
# s.questions = question_ids
# s.save()
# Serialize Response Data
response_data = {
"questions": list(questions),
"exam": serializer.data,
}
# beeprint.pp(response_data)
headers = self.get_success_headers(exam_id)
return Response(response_data,
status=status.HTTP_201_CREATED,
headers=headers,
content_type='application/json')
def test_complicate_data(output=True):
config = Config()
config.string_break_method = C._STRING_BREAK_BY_WIDTH
config.text_autoclip_enable = False
res = pp(values, output, config=config)
res += pp(long_text_in_dict, output, config=config)
res += pp(long_text_in_list, output, config=config)
return res
def send(ctx, phone_number, country_code='86', mode='async', send_mode='sms'):
pp(call(
'verification/send',
country_code=country_code,
phone_number=phone_number,
mode=mode,
send_mode=send_mode
))
def test_complicate_data(output=True):
config = Config()
config.string_break_method = C._STRING_BREAK_BY_WIDTH
config.text_autoclip_enable = False
res = pp(values, output, config=config)
res += pp(long_text_in_dict, output, config=config)
res += pp(long_text_in_list, output, config=config)
return res
def changeArrows():
pp(plot.layout)
arrowRenderers = [
renderer for renderer in plot.renderers if
(isinstance(renderer.name, str) and renderer.name.startswith("arrow"))
]
for arrowRenderer in arrowRenderers:
arrowRenderer.end.line_color = "green"
def file_rm(cls,url):
path = "intelligence/{0}".format(url)
if not os.path.isdir(path):
return
shell = "cd {} && rm -rf *.txt && rm -rf tee*.csv && rm -rf *.xml && rm -rf *.html".format(path)
subprocess.run(shell,shell=True)
pp('清除临时文件')
def pp(var):
"""Pretty print.
Wrapper around beeprint
Args:
var: some variable
"""
beeprint.pp(var)
def alternative_pretty_print(self, myobject, prefix_line=None):
"""
Make object(s) and structure(s) clearer to debug
"""
if prefix_line is not None:
print("PRETTY PRINT [%s]" % prefix_line)
from prettyprinter import pprint as pp
pp(myobject)
return self
def pretty_print(myobject, prefix_line=None):
"""
Make object(s) and structure(s) clearer to debug
"""
if prefix_line is not None:
print("PRETTY PRINT [%s]" % prefix_line)
from beeprint import pp
pp(myobject)
return
def make(only_xls=False):
###################
q = query.get_table_query(RDB_TABLE1)
cursor = q.run()
# print("SOME", cursor)
# HTML STRIPPER
if es.indices.exists(index=EL_INDEX0):
es.indices.delete(index=EL_INDEX0)
es.indices.create(index=EL_INDEX0, body=HTML_ANALYZER)
# MULTI INDEX FILTERING
if es.indices.exists(index=EL_INDEX1):
es.indices.delete(index=EL_INDEX1)
es.indices.create(index=EL_INDEX1, body=INDEX_BODY1)
logger.info("Created index %s" % EL_INDEX1)
# SUGGESTIONS
if es.indices.exists(index=EL_INDEX2):
es.indices.delete(index=EL_INDEX2)
es.indices.create(index=EL_INDEX2, body=INDEX_BODY2)
logger.info("Created index %s" % EL_INDEX2)
# LEXIQUE
if es.indices.exists(index=EL_INDEX3):
es.indices.delete(index=EL_INDEX3)
es.indices.create(index=EL_INDEX3, body={})
logger.info("Created index %s" % EL_INDEX3)
# es.indices.put_mapping(
# index=EL_INDEX2, doc_type=EL_TYPE2, body=SUGGEST_MAPPINGS)
# print(es.indices.stats(index=EL_INDEX2))
# exit(1)
# print(es.indices.stats(index=EL_INDEX1))
# print(es.info())
##################
# READ FROM XLS FILE
# dictionary = read_xls(fix_suggest=(not only_xls))
read_xls(fix_suggest=(not only_xls))
###################
count = 0
for doc in cursor:
elobj = single_update(doc)
if elobj is not None:
count += 1
logger.info("[Count %s]\t%s" % (count, elobj['extrait']))
# print("TOTAL", es.search(index=EL_INDEX1))
print("Completed. No images:")
pp(noimages.keys())
def DbusDaemonStatusChangedSig(self, state=None, info=None):
print("in DbusDaemonStatusChangedSig")
"""
dbus.UInt32(2L)
['192.168.31.141', 'TP-LINK4G', '88', '0', '72.2 Mb/s']
"""
pp(info)
self.UpdateNetList(state, info)
if info != None:
self._Screen.Draw()
self._Screen.SwapAndShow()
def save_credentials(user_id, code):
code = code[0]
user_id = user_id[0]
print code
print user_id
oauth.fetch_access_token(code, get_redirect_url())
# current = yaml.load(open(CREDS_FILE))
user = oauth.token
user['id'] = user_id
pp(user)
save_token(user)
def pair_print(title, v):
print(title)
print("----")
print("**pprint:**\n```python")
pprint(v)
print("```\n")
print("**beeprint:**\n```python")
pp(v)
print("```\n")
print("**pprintpp:**\n```python")
ppp(v)
print("```\n")
def eval(y_true, y_hat):
cm = confusion_matrix(y_true, y_hat)
pp(cm)
ps = precision_score(y_true, y_hat, average='micro')
rs = recall_score(y_true, y_hat, average='micro')
f1 = f1_score(y_true, y_hat, average='micro')
print("Precision: {:.2f}, Recall: {:.2f} F1 Score: {:.2f}".format(
ps, rs, f1))
def main():
# args = parse_args()
parser = Parser(input_str)
nodes = parser.parse()
for n in nodes:
beeprint.pp(n, max_depth=10, indent=4)
checker = Checker(nodes)
checker.check()
gen = Generator(nodes, "./deep/nested/shit", True)
gen.generate()
def import_students(table, path):
if len(list(table.run())) > 0:
print "Table not empty"
return
with open(path) as fp:
csvfile = UTF8Recoder(fp, 'utf-8')
for r in csv.DictReader(csvfile):
# r['name'] = unicode(r['name'].decode('utf-8')
r['name'] = r['name'].strip()
r['address'] = r['address'].strip()
r['id'] = int(r['id'].strip())
pp(r)
table.insert(r).run()
def feature_importance(model, x_pipeline):
i = model.feature_importances_
extra_attrs = ["rooms_per_hhold", "pop_per_hhold", "bedrooms_per_room"]
# encoder = get_pipeline_object(x_pipeline, ["union", "cat_pipeline", "label_binarizer"])
encoder = x_pipeline.get_params()["union__cat_pipeline__label_binarizer"]
one_hot_classes = list(np.array(encoder.categories_).ravel())
attrs = num_attribs + extra_attrs + one_hot_classes
pp(sorted(zip(i, attrs), reverse=True))
def info(obj: pd.DataFrame):
print(type(obj))
if isinstance(obj, np.ndarray):
__np_info(obj)
df = pd.DataFrame(obj)
__df_info(df)
return
if isinstance(obj, pd.DataFrame):
df = pd.DataFrame(obj)
__df_info(df)
return
if isinstance(obj, BaseEstimator):
if hasattr(obj, "coef_"):
pp(obj.coef_)
if hasattr(obj, "feature_importances_"):
pp(obj.feature_importances_)
pp(obj.__dict__)
return
if isinstance(obj, dict):
pp(obj)
return
raise ValueError(type(obj))
def test_complicate_data(self):
config = Config()
config.string_break_method = C._STRING_BREAK_BY_WIDTH
config.text_autoclip_enable = False
ans = u""
data_path = os.path.join(CUR_SCRIPT_PATH, 'data/all_in_one.txt')
with codecs.open(data_path, encoding="utf8") as fp:
ans = fp.read()
res = pp(values, output=False, config=config)
res += pp(df.long_text_in_dict, output=False, config=config)
res += pp(df.long_text_in_list, output=False, config=config)
self.assertEqual(res, ans)
def test_complicate_data(self):
config = Config()
config.string_break_method = C._STRING_BREAK_BY_WIDTH
config.text_autoclip_enable = False
ans = u""
data_path = os.path.join(CUR_SCRIPT_PATH,
'data/all_in_one.txt')
with codecs.open(data_path, encoding="utf8") as fp:
ans = fp.read()
res = pp(values, output=False, config=config)
res += pp(df.long_text_in_dict, output=False, config=config)
res += pp(df.long_text_in_list, output=False, config=config)
self.assertEqual(res, ans)
def test_autoclip_no_room(output=True):
config = Config()
# config.debug_level = 9
config.max_depth = 2
config.string_break_width = 1
config.string_break_method = C._STRING_BREAK_BY_WIDTH
return pp(autoclip_no_room, output, config=config)
def test():
"""test all cases"""
for name, subcases in CASES.items():
for subname, f in subcases.items():
value = f(make_data())
try:
ok = (value['user'] == DATA['user']
and value['tags'] == DATA['tags']
and value['style'] == DATA['style'])
except:
ok = False
if ok:
print_item(name, subname, 'OK')
else:
print('{}:{}'.format(name, subname).center(60, '-'))
pp(value)
def the_data(cls,url=''):
#用于处理theharvester的生成文件
path = "intelligence/{0}/{0}.html".format(url)
try:
with open(path,'r',encoding='utf-8') as f:
soup = BeautifulSoup(f.read(),'lxml')
with open("intelligence/{0}/the_{0}.txt".format(url),"a+") as r:
for data in soup.find_all('li'):
r.writelines(data.get_text()+'\r\n')
subprocess.run('rm %s'%path,shell=True)
except:
pp('文件不存在：%s'%path)
def test_3lines_clip(output=True):
config = Config()
config.text_autoclip_enable = True
config.text_autoclip_method = C._TEXT_AUTOCLIP_BY_LINE
config.string_break_enable = True
config.string_break_method = C._STRING_BREAK_BY_WIDTH
return pp(clip_by_3_lines, output, config=config)
def test_autoclip_no_room(output=True):
config = Config()
# config.debug_level = 9
config.max_depth = 2
config.string_break_width = 1
config.string_break_method = C._STRING_BREAK_BY_WIDTH
return pp(autoclip_no_room, output, config=config)
def test_3lines_clip(output=True):
config = Config()
config.text_autoclip_enable = True
config.text_autoclip_method = C._TEXT_AUTOCLIP_BY_LINE
config.string_break_enable = True
config.string_break_method = C._STRING_BREAK_BY_WIDTH
return pp(clip_by_3_lines, output, config=config)
def test_comma_ending(self):
rel_path = 'data/dict/comma.txt'
data_path = os.path.join(CUR_SCRIPT_PATH, rel_path)
with codecs.open(data_path, encoding='utf8') as fp:
ans = fp.read()
res = pp({'key': 'aaa,,,'}, output=False)
self.assertEqual(ans, res)
def GenList(self):
if self._AList == None:
return
self._MyList = []
self._PsIndex = 0
start_x = 0
start_y = 0
for i, v in enumerate(self._AList):
#print(i,v) # (0, dbus.String(u'AddressType'))
li = InfoPageListItem()
li._Parent = self
li._PosX = start_x
li._PosY = start_y + i * InfoPageListItem._Height
li._Width = Width
li._Fonts["normal"] = self._ListFontObj
if v == "UUIDs":
li._Fonts["small"] = self._ListSm2FontObj
else:
li._Fonts["small"] = self._ListSmFontObj
li.Init(str(v))
li._Flag = v
if v == "UUIDs":
if len(self._AList[v]) > 1:
pp(self._AList[v][0])
sm_text = str(self._AList[v][0])
else:
sm_text = "<empty>"
else:
sm_text = str(self._AList[v])
if sm_text == "0":
sm_text = "No"
elif sm_text == "1":
sm_text = "Yes"
sm_text = sm_text[:20]
li.SetSmallText(sm_text)
li._PosX = 2
self._MyList.append(li)
def fast_get_all(self, keyword, size=5, index=EL_INDEX3, type=EL_TYPE1):
args = {'index': index, 'doc_type': type}
# args['sort'] = ["sort_string:asc", "sort_number:asc"]
# args['from_'] = current - 1
args['from_'] = 0
args['size'] = size
args['body'] = {
'query': {"match": {"_all": {"query": keyword}}}
}
try:
out = self._api.search(**args)
except Exception as e:
logger.error("Failed to execute fast get query\n%s" % e)
return None, False
pp(out)
return out['hits']['hits'], out['hits']['total']
def main():
# config for training
config = Config()
# config for validation
valid_config = Config()
valid_config.keep_prob = 1.0
valid_config.dec_keep_prob = 1.0
valid_config.batch_size = 60
# configuration for testing
test_config = Config()
test_config.keep_prob = 1.0
test_config.dec_keep_prob = 1.0
test_config.batch_size = 1
pp(config)
# get data set
def grid_search(model, train_X, train_y):
from sklearn.model_selection import GridSearchCV
param_grid = [
{'n_estimators': [3, 10, 30, 50, 80], 'max_features': [2, 4, 6, 8, 10]},
{'bootstrap': [False], 'n_estimators': [3, 10, 30, 50, 80], 'max_features': [2, 4, 6, 8, 10]},
]
grid_search = GridSearchCV(model, param_grid, cv=5, n_jobs=os.cpu_count(), scoring="neg_mean_squared_error")
grid_search.fit(train_X, train_y)
pp(grid_search.best_params_)
pp(grid_search.best_estimator_)
cvres = grid_search.cv_results_
for mean_score, params in zip(cvres["mean_test_score"], cvres["params"]):
print(np.sqrt(-mean_score), params)
def inspect(df):
print("\n\nHEAD")
pp(df.head())
print("\n\nINFO")
pp(df.info())
print("\n\nINCOME_CAT_DIST")
pp(df["income_cat"].value_counts() / len(df))
print("\n\nCORR median_house_value")
corr_matrix = df.corr()
pp(corr_matrix["median_house_value"].sort_values(ascending=False))
def main_processing(args):
bp = BuildProcess()
bp.create_process()
print("====================================")
git_rev = bp.get_git_commit()
print "Git Commit is %r" % git_rev
print("====================================")
build_components(git_rev)
pp(DeviceComponent.comp_dict)
if args.clean:
for key, value in DeviceComponent.comp_dict.items():
print "Cleaning Device %s" % key
value.clean(bp)
else:
for key, value in DeviceComponent.comp_dict.items():
print "Building Device %s" % key
value.build(bp)
bp.terminate_process()
def test_sort_of_string(output=True):
config = Config()
config.debug_delay = False
config.str_display_not_prefix_u = False
config.str_display_not_prefix_b = False
for sstr in sort_of_string:
ints = ''
for e in sstr:
try:
ints += '%d ' % ord(e)
except:
ints += '%d ' % e
print('%40s %s %s' % (ints, repr(sstr), len(sstr)))
return pp(sort_of_string, output, config=config)
def test_out_of_range_in_dict(self):
config = Config()
config.max_depth = 1
ans = ""
rel_path = 'data/out_of_range_in_dict.txt'
data_path = os.path.join(CUR_SCRIPT_PATH, rel_path)
with codecs.open(data_path, encoding='utf8') as fp:
ans = fp.read()
# delete object id, such as
# <definition.NormalClassOldStyle object at 0x7f2d9a61bac8>
ans, _ = re.subn("at 0x[\d\w]+", "", ans)
res = pp(df.out_of_range_in_dict, output=False, config=config)
# delete object id, such as
# <definition.NormalClassOldStyle object at 0x7f2d9a61bac8>
res, _ = re.subn("at 0x[\d\w]+", "", res)
self.assertEqual(res, ans)
def test_recursion(output=True):
d = {}
d['d'] = d
d2 = {'1':1}
d2['r'] = {'d2':d2}
l = []
l.append(l)
recursive_values = [
l,
l, # this one should not be treat as recursion
d,
d2,
inst_of_recur_normal,
RecurTestRecurClass,
]
config = Config()
# config.debug_level = 9
return pp(recursive_values, output, config=config)
def test_boundary_break(output=True):
config = Config()
config.string_break_method = C._STRING_BREAK_BY_WIDTH
return pp(v_line_break_boundary, output, config=config)
def test_out_of_range_in_dict(output=True):
config = Config()
config.max_depth = 1
return pp(out_of_range_in_dict, output, config=config)
def test_dict_ordered_keys(output=True):
config = Config()
config.dict_ordered_key_enable = True
return pp(dict_multi_keys, output, config=config)
def test_inline_repr_out_of_range(output=True):
config = Config()
config.max_depth = 1
config.string_break_method = C._STRING_BREAK_BY_WIDTH
config.string_break_width = 40
return pp(inline_repr, output, config=config)
timeit("json.loads(text)", number=100000,
globals={"json": json, "text": text}))
print("validr: %.3f" %
timeit("f(value)", number=100000,
globals={"f": f_validr, "value": value}))
print("validr_simple: %.3f" %
timeit("f(value)", number=100000,
globals={"f": f_validr_simple, "value": value}))
print("schema: %.3f" %
timeit("f(value)", number=100000,
globals={"f": f_schema, "value": value}))
def profile():
run("for i in range(10000):\tf(value)")
if __name__ == "__main__":
cmd = sys.argv[1] if len(sys.argv) > 1 else None
if cmd == "-p":
profile()
elif cmd == "-t":
try:
from beeprint import pp
except:
from pprint import pprint as pp
pp(f_validr(value))
pp(f_validr_simple(value))
pp(f_schema(value))
else:
benchmark()
def test_negative(self):
self.assertEqual(pp(-1, output=False), '-1\n')
self.assertEqual(pp(-1.1, output=False), '-1.1\n')
def test_string(self):
# string literal
config = Config()
config.str_display_not_prefix_u = False
config.str_display_not_prefix_b = False
self.assertEqual(pp("plain string", output=False, config=config), "'plain string'\n")
# unicode string
s = u'unicode string'
if pyv == 2:
self.assertEqual(pp(s, output=False, config=config), u"u'unicode string'\n")
else:
self.assertEqual(pp(s, output=False, config=config), u"'unicode string'\n")
# utf8 string
s = u'utf8 string'.encode('utf-8')
if pyv == 2:
self.assertEqual(pp(s, output=False, config=config), u"'utf8 string'\n")
else:
self.assertEqual(pp(s, output=False, config=config), u"b'utf8 string'\n")
# gb2312 string
s = u'gb2312 string'.encode('gb2312')
if pyv == 2:
self.assertEqual(pp(s, output=False, config=config), u"'gb2312 string'\n")
else:
self.assertEqual(pp(s, output=False, config=config), u"b'gb2312 string'\n")
# unicode special characters string
s = u'\\'
if pyv == 2:
self.assertEqual(pp(s, output=False, config=config), u"u'\\\\'\n")
else:
self.assertEqual(pp(s, output=False, config=config), u"'\\\\'\n")
# utf8 special characters string
s = u'\\'.encode("utf8")
if pyv == 2:
self.assertEqual(pp(s, output=False, config=config), u"'\\\\'\n")
else:
self.assertEqual(pp(s, output=False, config=config), u"b'\\\\'\n")
def test_class_last_el(output=True):
config = Config()
config.instance_repr_enable = False
rm = ReprMethodClassNewStyle()
nc = NormalClassNewStyle()
return pp([rm, nc, rm], output, config=config)
def test_class_inst_repr_enable(output=True):
config = Config()
inst_repr = []
for c in class_repr:
inst_repr.append(c())
return pp(class_repr + inst_repr, output, config=config)
def test_inner_class(output=True):
config = Config()
return pp(OuterClass, output, config=config)
def test_class(output=True):
config = Config()
return pp(EmptyClassNewStyle, output, config=config)
def test_tuple_nested(output=True):
config = Config()
return pp(tuple_nested, output, config=config)
def test_positive(self):
self.assertEqual(pp(1, output=False), '1\n')
self.assertEqual(pp(1.1, output=False), '1.1\n')
def test_tuple(output=True):
config = Config()
return pp(tuple_testing, output, config=config)
def test_class_all_repr_disable(output=True):
config = Config()
config.instance_repr_enable = False
return pp(class_repr, output, config=config)
# variables
host = 'rdb'
db = 'mydb'
table = 'mytable'
# connect and create
r.connect(host=host).repl()
if db not in r.db_list().run():
r.db_create(db).run()
if table not in r.db(db).table_list().run():
r.db(db).table_create(table).run()
# implement actions
query = r.db(db).table(table)
if len(sys.argv) > 1:
command = sys.argv[1]
if command == 'changefeed':
try:
for change in query.changes().run():
print("Subscription update!")
pp(change)
except Exception as e:
print("Table removed or connection aborted")
elif command == 'insert':
query.insert({'key1': 'value1', 'key2': 'value2'}).run()
elif command == 'update':
query.filter({'key1': 'value1'}).update({'key1': 'UPDATED!'}).run()
elif command == 'clear':
r.db_drop(db).run()
