How to use _parse_float method in localstack

Best Python code snippet using localstack_python

fetcher.py

Source:fetcher.py

...58        # Convert the US eastern time to UTC time59        trade_datetime_text = Fetcher.edt_to_utc(trade_datetime_text)60        f.trade_datetime = parse(trade_datetime_text)61        column_idx += 262        f.price = Fetcher._parse_float(data[column_idx])63        column_idx += 164        f.days_low = Fetcher._parse_float(data[column_idx])65        column_idx += 166        f.days_high = Fetcher._parse_float(data[column_idx])67        column_idx += 168        f.price_change = Fetcher._parse_float(data[column_idx])69        column_idx += 170        f.volume = Fetcher._parse_float(data[column_idx])71        column_idx += 172        f.market_cap_in_millions = Fetcher._parse_number_in_millions(data[column_idx])73        column_idx += 174        f.book_value = Fetcher._parse_float(data[column_idx])75        column_idx += 176        f.ebitda_in_millions = Fetcher._parse_number_in_millions(data[column_idx])77        column_idx += 178        f.dividend_share = Fetcher._parse_float(data[column_idx])79        column_idx += 180        f.dividend_pay_date = Fetcher._parse_date_str(data[column_idx], "%m/%d/%Y")81        column_idx += 182        f.ex_dividend_date = Fetcher._parse_date_str(data[column_idx], "%m/%d/%Y")83        column_idx += 184        f.dividend_yield = Fetcher._parse_float(data[column_idx])85        column_idx += 186        f.earning_share = Fetcher._parse_float(data[column_idx])87        column_idx += 188        f.price_book = Fetcher._parse_float(data[column_idx])89        column_idx += 190        f.price_sales = Fetcher._parse_float(data[column_idx])91        return True92    def fetch_historical(self, f, start_date, end_date, num_retries=3):93        """94        :param f: the financial object95        :type f: pyvalue.yahoofinance.financial.Financial96        :param start_date: the start date97        :type start_date: str98        :param end_date: the end data99        :type end_date: str100        :param num_retries: the number of retries101        :type num_retries: int102        :return:103        """104        stock = f.stock105        start_year, start_month, start_day = Fetcher._split_date_str(start_date)106        end_year, end_month, end_day = Fetcher._split_date_str(end_date)107        url = (r'http://ichart.finance.yahoo.com/table.csv?s={0}'108               r'&a={1}&b={2}&c={3}&d={4}&e={5}&f={6}&g=d&ignore=.csv'109               .format(stock, start_month-1, start_day, start_year, end_month-1, end_day, end_year))110        for try_idx in range(num_retries):111            try:112                response = urllib2.urlopen(url)113                csv = response.read()114                if len(csv.strip()) == 0:115                    raise YahooFinanceFetcherException("Empty response of the http request.")116                Fetcher._parse_historical_csv(csv, f)117                return True118            except Exception as err:119                traceback.print_exc()120                LogInfo.info(stock + " : " + err.message + " in the " + str((try_idx + 1)) + " time")121                if try_idx == num_retries - 1:122                    LogInfo.error('Failed to retrieve information for ' + stock)123                    return False124    @staticmethod125    def _parse_historical_csv(csv, f):126        """127        :param csv: the return csv data from Yahoo finance128        :type csv: str129        :param f: the financial object130        :type f: pyvalue.yahoofinance.financial.Financial131        :return:132        """133        lines = csv.split('\n')[1:] # skip the first line (header)134        daily_records = []135        for line in lines:136            line = line.strip()137            if len(line) == 0:138                continue139            elems = line.split(',')140            record = DailyRecord()141            column_idx = 0142            date_text = elems[column_idx]143            record.date = datetime.strptime(date_text, "%Y-%m-%d").date()144            column_idx += 1145            record.open = elems[column_idx]146            column_idx += 1147            record.high = elems[column_idx]148            column_idx += 1149            record.low = elems[column_idx]150            column_idx += 1151            record.close = elems[column_idx]152            column_idx += 1153            record.volume = elems[column_idx]154            column_idx += 1155            record.adj_close = elems[column_idx]156            daily_records.append(record)157            f.stock_historical = daily_records158        return len(f.stock_historical)159    @staticmethod160    def _parse_number_in_millions(val):161        if val is None or val == 'N/A' or val == 'n/a' or val == 'NA' or val == 'na':162            return None163        val = val.strip()164        if val.endswith("B"):165            return float(val[:-1])*1000166        elif val.endswith("M"):167            return float(val[:-1])168        elif val.endswith("K"):169            return float(val[:-1])/1000.0170        else:171            return float(val[:-1])/(1000.0*1000.0)172    @staticmethod173    def _split_date_str(date_str, format_template='%Y-%m-%d'):174        date_str = date_str.replace("'", "")175        date_str = date_str.replace("\"", "")176        if format_template == '%Y-%m-%d':177            tokens = date_str.split('-')178            year = int(tokens[0])179            month = int(tokens[1])180            day = int(tokens[2])181            return year, month, day182        elif format_template == '%m/%d/%Y':183            tokens = date_str.split('/')184            year = int(tokens[2])185            month = int(tokens[0])186            day = int(tokens[1])187            return year, month, day188        else:189            raise YahooFinanceFetcherException("Unknown format template for date parser : "+format_template)190    @staticmethod191    def _parse_date_str(date_str, format_template='%Y-%m-%d'):192        if date_str == 'N/A' or date_str == '':193            return None194        year, month, day = Fetcher._split_date_str(date_str, format_template)195        return datetime.strptime(str(year)+"-"+str(month)+"-"+str(day), "%Y-%m-%d").date()196    @staticmethod197    def _parse_float(val_str):198        if val_str == 'N/A' or val_str == 'n/a' or val_str == 'NA':199            return None200        else:201            return float(val_str)202    @staticmethod203    def edt_to_utc(date, mask='%m/%d/%Y %I:%M%p'):204        """205        Convert EDT (Eastern Daylight Time) to UTC206        :param date: EDT date string e.g. '5/26/2014 4:00pm'207        :param mask: format of input date e.g '%m/%d/%Y %I:%M%'208        :return: UTC date string e.g '2014-03-05 12:23:00'209        """210        utc = pytz.utc211        eastern = pytz.timezone('US/Eastern')...

lambda_function.py

Source:lambda_function.py

...41    # type: (dict) -> dict42    file_content = obj['Body'].read()43    json_content = json.loads(file_content)44    return json_content45def _parse_float(s):46    try:47        return float(s)48    except ValueError:49        return s50def _parse_int(s):51    try:52        return int(s)53    except ValueError:54        return s55def get_fields_parser():56    # type: () -> dict57    return {58        "lineItem_UsageAmount": (_parse_float, float),59        "lineItem_BlendedRate": (_parse_float, float),...

vasp_parse.py

Source:vasp_parse.py

1#from pymatgen.io.vasp.inputs import PotcarSingle2import pymatgen.io.vasp.inputs as vin3import re4class parse_potcar(object):5    parse_functions = {6        "LULTRA": vin._parse_bool,7        "LUNSCR": vin._parse_bool,8        "LCOR": vin._parse_bool,9        "LPAW": vin._parse_bool,10        "EATOM": vin._parse_float,11        "RPACOR": vin._parse_float,12        "POMASS": vin._parse_float,13        "ZVAL": vin._parse_float,14        "RCORE": vin._parse_float,15        "RWIGS": vin._parse_float,16        "ENMAX": vin._parse_float,17        "ENMIN": vin._parse_float,18        "EMMIN": vin._parse_float,19        "EAUG": vin._parse_float,20        "DEXC": vin._parse_float,21        "RMAX": vin._parse_float,22        "RAUG": vin._parse_float,23        "RDEP": vin._parse_float,24        "RDEPT": vin._parse_float,25        "QCUT": vin._parse_float,26        "QGAM": vin._parse_float,27        "RCLOC": vin._parse_float,28        "IUNSCR": vin._parse_int,29        "ICORE": vin._parse_int,30        "NDATA": vin._parse_int,31        "VRHFIN": vin._parse_string,32        "LEXCH": vin._parse_string,33        "TITEL": vin._parse_string,34        "STEP": vin._parse_list,35        "RRKJ": vin._parse_list,36        "GGA": vin._parse_list37    }38    def __init__(self, data):39        search_lines = re.findall(r"(?s)(parameters from PSCTR are:"40                                  r".*?END of PSCTR-controll parameters)",41                                  data)  #.group(2)42        self.all_keywords = []43        for i in range(len(search_lines)):44            keywords = {}45            for key, val in re.findall(r"(\S+)\s*=\s*(.*?)(?=;|$)",46                                       search_lines[i],47                                       flags=re.MULTILINE):48                try:49                    keywords[key] = self.parse_functions[key](val)50                except KeyError:51                    warnings.warn("Ignoring unknown variable type %s" % key)52            self.all_keywords.append(keywords)53    def get_max_enmax(self):54        max_enmax = 055        for i in range(len(self.all_keywords)):56            enmax = self.all_keywords[i]['ENMAX']57            if max_enmax < enmax:58                max_enmax = enmax59        return max_enmax60# p=PotcarSingle(file.read())...

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.