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How to use get_link_attribute method in SeleniumBase

Best Python code snippet using SeleniumBase

Process_VISSIM_Link_Segment_File_FREEWAY.py

Source: Process_VISSIM_Link_Segment_File_FREEWAY.py

...31                          }32                         )33dict_links = Links.set_index("Link").T.to_dict(orient='list')34# In[5]:35def get_link_attribute(Links, link, attr):36    '''37        Link attribute selector.38        Links: a pandas dataframe contains link attributes39        link: a link40        attr: a string for attr41        42        Sample Link file43        44        {45             1: ['5: Urban-Mixed', 2, 480.73590087890625, 0, 'Connector'],46             2: ['5: Urban-Mixed', 2, 491.6012878417969, 0, 'Connector'],47             3: ['5: Urban-Mixed', 2, 493.388427734375, 0, 'Connector'],48        }49    50    '''51    selector = {52                  "LinkType":0,53                  "NumLanes":1,54                  "Length":2,55                  "IsConn":3,56                  "FT":457                }58    59    return(Links[link][selector[attr]])60    61# In[6]:62def p2f(x):63    if x!="":64        return float(x.strip('%'))/10065    else:66        return(0.0)67# In[7]:68def read_one_run(FILE_NAME, skiprows=18, filetype="LINK_SEG"):69    if filetype=="LINK_SEG":70        link_seg = pd.read_csv(FILE_NAME, sep=";", skiprows=skiprows, 71                              converters={72                                     0:str(),73                                     3:float(),74                                     4:p2f,75                                     5:float(),76                                     6:float()77                              }78                             )79        80    # rename the column81    link_seg = link_seg.rename(columns={ 82        link_seg.columns[0]: "SIMRUN",83        link_seg.columns[3]: "DENSITY",84        link_seg.columns[4]: "DELAYREL",85        link_seg.columns[5]: "SPEED",86        link_seg.columns[6]: "VOLUME"87    })88    return link_seg89# In[8]:90# Read the link segment data91df_link_seg_data = [read_one_run(f) for f in LOADS]92# In[9]:93result_link_seg = pd.concat(df_link_seg_data, keys=np.arange(len(df_link_seg_data))+1, names=['Load']).reset_index().drop("level_1", axis=1)94# In[10]:95# Process ONLY the average data96result_link_seg = result_link_seg[result_link_seg.SIMRUN=="AVG"].reset_index().drop("index", axis=1)97# #### Data Cleaning98# In[13]:99# Set speed = 0 if density = 0 or volume = 0100result_link_seg.loc[(result_link_seg.DENSITY == 0) | (result_link_seg.VOLUME == 0), "SPEED"] = 0.0101# In[14]:102# Split the link evaluation segments103split_link_seg = lambda x: pd.Series([int(i) for i in x.split('-')])104result_link_seg[['LINK','SEGA', 'SEGB']] = result_link_seg['LINKEVALSEGMENT'].apply(split_link_seg)105# In[15]:106# Split the time stamps107split_time_int = lambda x: pd.Series([int(i) for i in x.split('-')])108result_link_seg[['TIMEA','TIMEB']] = result_link_seg['TIMEINT'].apply(split_time_int)109# In[16]:110# Get lane flow and lane density111get_lanes =lambda x: get_link_attribute(dict_links, link=x, attr="NumLanes")112result_link_seg['LANES'] = result_link_seg['LINK'].apply(get_lanes)113result_link_seg['LANEFLOW'] = result_link_seg.VOLUME / result_link_seg.LANES114result_link_seg['LANEDENSITY'] = result_link_seg.DENSITY / result_link_seg.LANES115# In[17]:116# Get facility type117get_ft =lambda x: get_link_attribute(dict_links, link=x, attr="FT")118result_link_seg['FT'] = result_link_seg['LINK'].apply(get_ft)119# save the data for later 120result_link_seg.to_csv("Link_Seg_Data_FREEWAY"+"_"+RUN_NAME+".csv", header=True, index=False)121# In[18]:122# Only freeway but not connectors or ramps123result_link_seg = result_link_seg[result_link_seg.LINK.isin([10, 11, 17])].reset_index(drop=True)124if MULTI_SAMPLE:125	for s in np.arange(10)+1:126		result_link_seg_sample = result_link_seg.sample(10000, random_state=s)127		with open(EST_FILE_NAME+"_"+str(s)+".dat", 'wb') as csvfile:128			csvfile.writelines("VISSIM CAV LINK SEGMENT DATA -- "+RUN_NAME+"\r\n")129			csvfile.writelines(str(result_link_seg_sample.shape[0])+"\t1.000\t1.600\t0.625"+"\r\n")130			writer = csv.writer(csvfile, delimiter='\t', dialect='excel', lineterminator="\r\n")131			for i in result_link_seg_sample.loc[:,["LANEFLOW", "SPEED", "LANEDENSITY"]].values:...

test_index.py

Source: test_index.py

...60    # 3.4 This page shows a logout link, pointing to /logout61    def test_R3_4(self, *_):62        self._login()63        # Verify that profile page shows a logout link pointing to /logout64        self.assert_true(self.get_link_attribute('logout','href'), base_url+'/logout')65    # 3.5 This page lists all available tickets. Information including the quantity of each ticket,66    #the owner's email, and the price, for tickets that are not expired.67    @patch('qa327.backend.get_all_tickets', return_value=[test_ticket])68    def test_R3_5(self, *_):69        self._login()70        # Verify that profile page shows all available tickets71        self.assert_element("#tickets div h4")72        self.assert_text(test_ticket.owner)73        self.assert_text(test_ticket.name)74        self.assert_text(test_ticket.quantity)75        self.assert_text(test_ticket.price)76        self.assert_text(test_ticket.date)77        78    # 3.6 This page contains a form that a user can submit new tickets for sell. Fields: name, quantity, price, expiration date....

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