Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use str_ignore method in autotest

Best Python code snippet using autotest_python

regression.py

Source:regression.py

...278    param prefix1: output prefix in Avg/SD lines279    param prefix2: output prefix in Diff Avg/P-value lines280    param prefix3: output prefix in total Sign line281    """282    def str_ignore(str, split=False):283        str = str.split("|")284        for i in range(ignore_col):285            str[i] = " "286        if split:287            return "|".join(str[ignore_col:])288        return "|".join(str)289    def tee_line(content, file, n=None):290        fd = open(file, "a")291        print content292        str = ""293        str += "<TR ALIGN=CENTER>"294        content = content.split("|")295        for i in range(len(content)):296            if n and i >= 2 and i < ignore_col + 2:297                str += "<TD ROWSPAN=%d WIDTH=1%% >%s</TD>" % (n, content[i])298            else:299                str += "<TD WIDTH=1%% >%s</TD>" % content[i]300        str += "</TR>"301        fd.write(str + "\n")302        fd.close()303    for l in range(len(lists[0])):304        if not re.findall("[a-zA-Z]", lists[0][l]):305            break306    tee("<TABLE BORDER=1 CELLSPACING=1 CELLPADDING=1 width=10%><TBODY>",307        f)308    tee("<h3>== %s " % sum + "==</h3>", f)309    category = 0310    for i in range(len(lists[0])):311        for n in range(len(lists)):312            is_diff = False313            for j in range(len(lists)):314                if lists[0][i] != lists[j][i]:315                    is_diff = True316                if len(lists) == 1 and not re.findall("[a-zA-Z]", lists[j][i]):317                    is_diff = True318            pfix = prefix1[0]319            if len(prefix1) != 1:320                pfix = prefix1[n]321            if is_diff:322                if n == 0:323                    tee_line(pfix + lists[n][i], f, n=len(lists) + len(rates))324                else:325                    tee_line(pfix + str_ignore(lists[n][i], True), f)326            if not is_diff and n == 0:327                if '|' in lists[n][i]:328                    tee_line(prefix0 + lists[n][i], f)329                elif "Category:" in lists[n][i]:330                    if category != 0 and prefix3:331                        if len(allpvalues[category - 1]) > 0:332                            tee_line(prefix3 + str_ignore(333                                     allpvalues[category - 1][0]), f)334                        tee("</TBODY></TABLE>", f)335                        tee("<br>", f)336                        tee("<TABLE BORDER=1 CELLSPACING=1 CELLPADDING=1 "337                            "width=10%><TBODY>", f)338                    category += 1339                    tee("<TH colspan=3 >%s</TH>" % lists[n][i], f)340                else:341                    tee("<TH colspan=3 >%s</TH>" % lists[n][i], f)342        for n in range(len(rates)):343            if lists[0][i] != rates[n][i] and not re.findall("[a-zA-Z]",344                                                             rates[n][i]):345                tee_line(prefix2[n] + str_ignore(rates[n][i], True), f)346    if prefix3 and len(allpvalues[-1]) > 0:347        tee_line(prefix3 + str_ignore(allpvalues[category - 1][0]), f)348    tee("</TBODY></TABLE>", f)349def analyze(test, type, arg1, arg2, configfile):350    """ Compute averages/p-vales of two samples, print results nicely """351    config = ConfigParser.ConfigParser()352    config.read(configfile)353    ignore_col = int(config.get(test, "ignore_col"))354    avg_update = config.get(test, "avg_update")355    desc = config.get(test, "desc")356    def get_list(dir):357        result_file_pattern = config.get(test, "result_file_pattern")358        cmd = 'find %s|grep "%s.*/%s"' % (dir, test, result_file_pattern)359        print cmd360        return commands.getoutput(cmd)361    if type == 'file':...

palavras.py

Source:palavras.py

1import csv2def gerarSet(string):3    temp_set = set()4    for x in string:5        temp_set.add(x)6    return temp_set7def retirarIgnores(frase, set_ignore):8    for letra in frase:9        if letra in set_ignore:10            frase = frase.replace(letra, '')11    return frase12def palavrasNoDicionario(dicionario, palavrasFrase):13    temp_list_erratas = []14    for palavra in palavrasFrase:15        if palavra not in dicionario:16            temp_list_erratas.append(palavra)17    return temp_list_erratas18def notasIntencoes(dicionarioIntencoes, frase):19    temp_dict_notas = {}20    contador = 121    for palavra in frase:22        for intencao in dicionarioIntencoes.keys():23            if palavra in dicionarioIntencoes[intencao]:24                if intencao not in temp_dict_notas:25                    temp_dict_notas[intencao] = 026                temp_dict_notas[intencao] += 1 * contador27        contador += 128    return temp_dict_notas29def analiseIntecoes(dicionario_notas_intencoes):30    if len(dicionario_notas_intencoes.keys()) == 0:31        return ""32    lista_keys = []33    for i in dicionario_notas_intencoes.keys():34        lista_keys.append(i)35    intencao_atual = lista_keys[0]36    intencao_atual_nota = dicionario_notas_intencoes[lista_keys[0]]37    for intencao in dicionario_notas_intencoes.keys():38        if dicionario_notas_intencoes[intencao] > intencao_atual_nota:39            intencao_atual_nota = dicionario_notas_intencoes[intencao]40            intencao_atual = intencao41    return intencao_atual42str_letras = "abcdefghijklmnopqrstuvwxyz"43str_ignore = "1234567890()*&%$#@!',./?"44set_letras = gerarSet(str_letras)45set_ignore = gerarSet(str_ignore)46with open('pt_br.txt', 'r', encoding='ISO-8859-1') as f:47    palavras = f.read().split('\n')48with open('intencoes.csv', 'r', encoding='utf8') as csv_f:49    csv_reader = csv.reader(csv_f, delimiter=';')50    dict_intencoes = {}51    linha_counter = 052    for linha in csv_reader:53        if linha_counter == 0:54            linha_counter += 155            continue56        if linha[0] not in dict_intencoes:57            dict_intencoes[linha[0]] = []58        dict_intencoes[linha[0]].append(linha[1])59sair = False60context = []61def conversa(input):62    input = retirarIgnores(input.lower(), set_ignore)63    dict_retorno = {}64    frase_separada = input.split()65    erratas = palavrasNoDicionario(palavras, frase_separada)66    notas_intencoes = notasIntencoes(dict_intencoes, frase_separada)67    intencao = analiseIntecoes(notas_intencoes)68    if len(erratas) > 0:69        dict_retorno['speelCheck'] = 'error'70        dict_retorno['erratas'] = erratas71    else:72        context.append(intencao)73        dict_retorno['spellChack'] = 'ok'74        dict_retorno['response'] = {}75        dict_retorno['response']['intencao'] = intencao76        dict_retorno['response']['notas'] = notas_intencoes77    return dict_retorno78while sair != True:79    frase = retirarIgnores(input("Input: "), set_ignore).lower()80    response = conversa(frase)81    if 'response' in response:82        if response['response']['intencao'] == 'sair':83            break84        elif response['response']['intencao'] == 'reset':85            context.clear()...

bowling.py

Source:bowling.py

1import re2import numpy as np3import pandas as pd4from .scrapers import get_innings_by_innings_stats5default_renames = {"mdns": "maidens",6                   "wkts": "wickets",7                   "econ": "economy",8                   "pos": "position",9                   "inns": "innings"}10default_deletes = ['nan', 'DNB', 'TDNB']11def total_balls(overs_str, str_ignore=['DNB', 'TDNB'], ignore_value=0):12    """13    Calculate total balls bowled from overs formatting14    Parameters15    ----------16    overs_str: string17        Overs bowled in traditional format overs.balls18    str_ignore: list19        Strings to ignore and return 0 - indicators that the player didn't bowl20    ignore_value: int21        Value to input for strings matched into str_ignore22    Returns23    -------24    int:25        The number of balls bowled as an int26    """27    if overs_str in str_ignore:28        return ignore_value29    grouping_re = re.compile(r'^([0-9]*)\.([0-5]*)$').search(overs_str)30    if grouping_re is None:31        return int(overs_str) * 632    else:33        overs = int(grouping_re.group(1)) * 634        balls = int(grouping_re.group(2))35        return overs + balls36def test_innings_by_innings(player_id, column_rename=default_renames, score_deletes=default_deletes, home_or_away=-1):37    """38    Return the test innings by innings for a given player39    Parameters40    ----------41    player_id: int42        Player ID for cricketer from ESPNcricinfo43    column_rename: dict44        Rename columns old: new45    score_deletes: list46        Values to represent null47    home_or_away: int48        Value to limit to either home or away matches49    Returns50    -------51    pandas.DataFrame52        Test innings DataFrame scraped from site53    """54    raw_table = get_innings_by_innings_stats(player_id, 'Bowling', 'Test', home_or_away)55    if raw_table is None:56        return None57    raw_table.replace('-', np.nan, inplace=True)58    raw_table.columns = raw_table.columns.str.lower().str.replace(' ', '_')59    #  Rename columns60    raw_table.rename(column_rename, axis=1, inplace=True)61    raw_table.runs = raw_table.runs.apply(62        lambda x: np.nan if x in score_deletes else x)63    raw_table['total_balls'] = raw_table.overs.astype(str).apply(total_balls)64    #  Remove blank columns65    raw_table.drop('', axis=1, inplace=True)66    return raw_table67def test_home_or_away(player_id):68    """69    Get the test bowling innings for a given player with column indicating home/away/neutral70    Parameters71    ----------72    player_id: int73        Player ID for cricketer from ESPNcricinfo74    Returns75    -------76    pandas.DataFrame77        Test innings DataFrame scraped from site with additional home/away/neutral column78    """79    home = test_innings_by_innings(player_id, home_or_away=1)80    away = test_innings_by_innings(player_id, home_or_away=2)81    neutral = test_innings_by_innings(player_id, home_or_away=3)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.