How to use _default_weight method in Molotov

Best Python code snippet using molotov_python

wnconfig.py

Source:wnconfig.py

1import logging, re, os, os.path, sys234class Config(object):56    def __init__(self):7        #self._names = names89        self.disable_fuzzy = False10        self.classify = False11        self.classify_bank = False12        self._hashtypes_missing = None # print only certain hashtypes1314        self.sort_always = False15        self._default_weight = 10016        self._sort_weights = []1718    def add_config(self, line):19        if line.startswith('#@nofuzzy'):20            self.disable_fuzzy = True2122        if line.startswith('#@classify'):23            self.classify = True24        if line.startswith('#@classify-bank'): #implicit: sets the above25            self.classify_bank = True2627        if line.startswith('#@hashtypes-missing'):28            line = line.replace('#@hashtypes-missing', '')29            self._hashtypes_missing = [item.lower().strip() for item in line.split()]3031        if line.startswith('#@sort-always'):32            self.sort_always = True33        if line.startswith('#@sort-weight') or line.startswith('#@sw'):34            self._add_sort_weight(line)3536    def add_lines(self, lines):37        if self.disable_fuzzy:38            lines.append('#@nofuzzy')39        if self.classify_bank:40            lines.append('#@classify-bank')41        elif self.classify:42            lines.append('#@classify')43        elif self._hashtypes_missing:44            lines.append('#@hashtypes-missing ' + ' '.join(self._hashtypes_missing))4546    def skip_hastype(self, hashtype):47        return self._hashtypes_missing and hashtype not in self._hashtypes_missing484950    # TODO maybe generate again when cleaning wwnames5152    # defined sorting weight, where higher = lower priority (0=top, 100=default, 999=lowest). examples:53    #  group=value 10           # exact match54    #  group*=value* 20         # partial match55    #  group=- 999              # by default "any" has highest56    #  value 20                 # same as *=value57    #58    def _add_sort_weight(self, line):59        line = line.strip()60        elems = line.split(" ")61        if len(elems) != 3:62            logging.info("names: ignored weight %s", line )63            return64        match = elems[1]65        weight = elems[2]66        if not weight.isnumeric():67            logging.info("names: ignored weight %s", line )68            return6970        if '*' == match:71            self._default_weight = weight72        else:73            if '=' in match:74                gv = match.split("=")75                g_wr = self._get_weight_regex(gv[0])76                v_wr = self._get_weight_regex(gv[1])77                item = (g_wr, v_wr, weight)78            else:79                v_wr = self._get_weight_regex(match)80                item = (None, v_wr, weight)81            self._sort_weights.append(item)8283    def _get_weight_regex(self, text_in):84        if '*' in text_in:85            replaces = { '(':'\(', ')':'\)', '[':'\[', ']':'\]', '.':'\.', '*':'.*?' }86            regex_in = text_in87            for key, val in replaces.items():88                regex_in = regex_in.replace(key, val)89            regex = re.compile(regex_in, re.IGNORECASE)90        else:91            regex = re.compile(re.escape(text_in), re.IGNORECASE)92        return regex9394    def get_weight(self, groupname, valuename):95        for g_wr, v_wr, weight in self._sort_weights:96            if not g_wr:97                if v_wr.match(valuename):98                    return weight99            else:100                if g_wr.match(groupname) and v_wr.match(valuename):101                    return weight102103        if valuename == '-': #any usually goes first, unless overwritten104            return 0
...

heatmap.py

Source:heatmap.py

1from collections import namedtuple2from gmplot.utility import _get, _format_LatLng3class _Heatmap(object):4    _DEFAULT_WEIGHT = 15    _Point = namedtuple('Point', ['location', 'weight'])6    def __init__(self, lats, lngs, precision, **kwargs):7        '''8        Args:9            lats ([float]): Latitudes.10            lngs ([float]): Longitudes.11            precision (int): Number of digits after the decimal to round to for lat/lng values.12        Optional:13        Args:14            radius (int): Radius of influence for each data point, in pixels.15            gradient ([(int, int, int, float)]): Color gradient of the heatmap, as a list of `RGBA`_ colors.16                The color order defines the gradient moving towards the center of a point.17            opacity (float): Opacity of the heatmap, ranging from 0 to 1.18            max_intensity (int): Maximum intensity of the heatmap.19            dissipating (bool): True to dissipate the heatmap on zooming, False to disable dissipation.20            weights ([float]): List of weights corresponding to each data point. Each point has a weight21                of 1 by default. Specifying a weight of N is equivalent to plotting the same point N times.22        23        .. _RGBA: https://www.w3.org/TR/css-color-3/#rgba-color24        '''25        weights = _get(kwargs, ['weights'], [self._DEFAULT_WEIGHT] * len(lats))26        self._points = [self._Point(_format_LatLng(lat, lng, precision), weight) for lat, lng, weight in zip(lats, lngs, weights)]27        self._radius = kwargs.get('radius')28        self._gradient = kwargs.get('gradient')29        self._opacity = kwargs.get('opacity')30        self._max_intensity = kwargs.get('max_intensity')31        self._dissipating = kwargs.get('dissipating')32    def write(self, w):33        '''34        Write the heatmap.35        Args:36            w (_Writer): Writer used to write the heatmap.37        '''38        w.write('new google.maps.visualization.HeatmapLayer({')39        w.indent()40        if self._radius is not None: w.write('radius: %d,' % self._radius)41        if self._max_intensity is not None: w.write('maxIntensity: %d,' % self._max_intensity)42        if self._opacity is not None: w.write('opacity: %f,' % self._opacity)43        if self._dissipating is False: w.write('dissipating: false,')44        if self._gradient:45            w.write('gradient: [')46            w.indent()47            for r, g, b, a in self._gradient:48                w.write('"rgba(%d, %d, %d, %f)",' % (r, g, b, a))49            w.dedent()50            w.write('],')51        w.write('map: map,')52        w.write('data: [')53        w.indent()54        for point in self._points:55            if point.weight == self._DEFAULT_WEIGHT:56                w.write('%s,' % point.location)57            else:58                w.write('{location: %s, weight: %f},' % (point.location, point.weight))59        w.dedent()60        w.write(']')61        w.dedent()62        w.write('});')...

nodescraper.py

Source:nodescraper.py

1_NAME_WEIGHT = 22_DEFAULT_WEIGHT = 13# generic parent class4class NodeScraper:5    def __init__(self, node):6        self.node = node7    def extract_content(self):8        # by default, just extract the name9        name = (self.node["name"], _NAME_WEIGHT)10        return [name]11class CourseNodeScraper(NodeScraper):12    def extract_content(self):13        # grab the default scraped info14        content = super().extract_content()15        # extract description and subjects16        description = (self.node["description"] or "", _DEFAULT_WEIGHT)17        subjects = map(lambda x: (x["name"], _DEFAULT_WEIGHT), self.node["subjects"])18        content.extend(subjects)19        content.append(description)20        return content21class SubjectNodeScraper(NodeScraper):22    def extract_content(self):23        # grab the default24        content = super().extract_content()25        # throw in abbreviation26        abbreviation = (self.node["abbreviation"], _DEFAULT_WEIGHT)27        content.append(abbreviation)28        return content29# supported scraper types30__node_scraper_map = {31    'CourseNode': CourseNodeScraper,32    'SubjectNode': SubjectNodeScraper,33    'InstructorNode': NodeScraper34}35def scrape_node_contents(node):36    node_type = node["nodeType"]37    # ignore if node type not supported38    if node_type not in __node_scraper_map.keys():39        return40    # instantiate a scraper41    scraper_type = __node_scraper_map[node_type]42    scraper = scraper_type(node)43    # grab content from scraper44    content = scraper.extract_content()...

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