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How to use disable_region method in avocado

Best Python code snippet using avocado_python

app.py

Source:app.py

1# <-------------------------- TERRORISM ANALYSIS------------------------------>2# Importing required libraries3import pandas as pd4import dash 5import dash_html_components as html6import webbrowser7import dash_core_components as dcc8from dash.dependencies import Input,Output9import plotly.graph_objects as go10import plotly.express as px   11from dash.exceptions import PreventUpdate1213# Creating a global Dash type object 14app=dash.Dash()1516# Defining required variables17def load_data():18    dataset_name = "global_terror.csv"19    global df20    df=pd.read_csv(dataset_name)21    22    month={"January":1,"February":2,"March":3,"April":4,"May":5,"June":6,"July":7,"August":8,"September":9,"October":10,"November":11,"December":12}23    global month_list24    month_list=[{'label':key,'value':values} for key,values in month.items()]25    26    global region_list27    region_list=[{'label':str(i),'value':str(i)} for i in sorted(df['region_txt'].unique().tolist())]28    29    global country_data30    country_data=df.groupby("region_txt")["country_txt"].unique().apply(list).to_dict()31    32    global state_data33    state_data=df.groupby("country_txt")["provstate"].unique().apply(list).to_dict()34    35    global city_data36    city_data=df.groupby("provstate")["city"].unique().apply(list).to_dict()37    38    global attack_list39    attack_list=[{'label':str(i),'value':str(i)} for i in sorted(df['attacktype1_txt'].unique().tolist())]  40    41    global year_list42    year_list=sorted(df['iyear'].unique().tolist())43    global year_dict44    year_dict={str(year):str(year) for year in year_list}45    46    global chart_dropdown_data,chart_dropdown_values47    chart_dropdown_data={'Terrorist Organisation':'gname','Target Nationality':'natlty1_txt','Target Type':'targtype1_txt','Attack Type':'attacktype1_txt','Weapon Type':'weaptype1_txt','Region':'region_txt','Country Attacked':'country_txt'}48    chart_dropdown_values=[{'label':key,'value':val} for key,val in chart_dropdown_data.items()]4950# Creating a UI having 2 tabs ie Map Tool and Chart Tool51# Both the tabs have respective subtabs for world and india scenario52def create_app_ui():53    main_layout=html.Div(54    [55     html.H1(children="Terrorism Analysis with Insights",id='Main_heading',style={'textAlign':'center'}),      56     57     html.Hr(),58     html.Br(),  59     60     dcc.Tabs(id='Tabs', value='map', children=[61         dcc.Tab(label='Map Tool',id='MapT', value='map', children=[62         dcc.Tabs(id='Subtabs_map',value='worldmap',children=[63                 dcc.Tab(label='World Map',id='WorldM',value='worldmap'),64                 dcc.Tab(label='India Map',id='IndiaM',value='indiamap')65                 ]66                 )]),67         68         dcc.Tab(label='Chart Tool',id='ChartT',value='chart',children=[69         dcc.Tabs(id='Subtabs_chart',value='worldchart',children=[70                 dcc.Tab(label='World Chart',id='WorldC',value='worldchart'),71                 dcc.Tab(label='India Chart',id='IndiaC',value='indiachart')]),72                 ])        73     ]),74     html.Div(id='dropdowns') # Here the screen will fill with either map-specifications or the chart-specifications as returned by update_data callback75    ])76    return main_layout7778@app.callback(79Output('dropdowns','children'),80[Input('Tabs','value')]81)82def update_data(tab): # To show dropdowns based on id='Tabs' value83    data=None84    if tab=='map':  # When user selects Map Tool tab85        data=html.Div([86        dcc.Dropdown(87        id='dropdown-month',88        options=month_list,89        placeholder='Select Month',90        multi=True       91        ),92     93        dcc.Dropdown(94        id='dropdown-date',95        placeholder='Select Date',      96        multi=True97        ),98     99        dcc.Dropdown(100        id='dropdown-region',101        options=region_list,102        placeholder='Select Region',        103        multi=True104        ),105            106        dcc.Dropdown(id='dropdown-country',   107        options=[{'label':'All','value':'All'}],   108        placeholder='Select Country',109        multi=True110        ),111                  112        dcc.Dropdown(113        id='dropdown-state',114        options=[{'label':'All','value':'All'}],115        placeholder='Select State',        116        multi=True117        ),118             119        dcc.Dropdown(120        id='dropdown-city',121        options=[{'label':'All','value':'All'}],122        placeholder='Select City',        123        multi=True124        ),125             126        dcc.Dropdown(127        id='dropdown-attack',128        options=attack_list,129        placeholder='Select Attack Type',        130        multi=True131        ),132             133        html.Br(),134        html.H4("Select Year", id='year-title'),135     136        dcc.RangeSlider(137        id='year-slider',138        min=min(year_list),139        max=max(year_list),140        value=[min(year_list),max(year_list)],141        marks=year_dict        142        ),143             144        html.Br(),145     146        html.Div(id='map-initials',children=["World map loading..."])147        ])148    else:  # When user selects Chart Tool tab149        data=html.Div([150        html.Br(),151        html.Br(),152        153        dcc.Dropdown(154        id='dropdown-chart',155        options=chart_dropdown_values,156        placeholder='Select Your Option',157        value='region_txt'158        ),159                160        html.Br(),161        html.Br(),162        163        dcc.Input(id='search-box',placeholder='Search Filter'),164        165        html.Br(),166        html.Br(),167        168        dcc.RangeSlider(169        id='chart-year-slider',170        min=min(year_list),171        max=max(year_list),172        value=[min(year_list),max(year_list)],173        marks=year_dict,174        step=None        175        ),176        177        html.Br(),178        179        html.Div(id='chart-initials',children=["World chart loading..."])180        ])181    return data182183# To update the map(world map or india map) according to user selected values184@app.callback(185        dash.dependencies.Output('map-initials','children'),186        [187        dash.dependencies.Input('dropdown-month','value'),188        dash.dependencies.Input('dropdown-date','value'),189        dash.dependencies.Input('dropdown-region','value'),190        dash.dependencies.Input('dropdown-country','value'),191        dash.dependencies.Input('dropdown-state','value'),192        dash.dependencies.Input('dropdown-city','value'),193        dash.dependencies.Input('dropdown-attack','value'),194        dash.dependencies.Input('year-slider','value'),195        dash.dependencies.Input('Tabs','value')196        ]197        )198def update_app_ui_map(month_value,date_value,region_value,country_value,state_value,city_value,attack_value,year_value,tab):199    # Printing is just for debugging purpose200    print(type(month_value))201    print(month_value)202    print(type(date_value))203    print(date_value)204    print(type(region_value))205    print(region_value)206    print(type(country_value))207    print(country_value)208    print(type(state_value))209    print(state_value)210    print(type(city_value))211    print(city_value)212    print(type(attack_value))213    print(attack_value)214    print(type(year_value))215    print(year_value)216   217    figure_map=go.Figure()  218        219    if tab=='map':  # When map is to be implemented220        year_range=range(year_value[0],year_value[1]+1)221        map_df=df[df['iyear'].isin(year_range)]222    223        if month_value==[] or month_value is None:224            pass225        else:226            if date_value==[] or date_value is None:227                map_df=map_df[map_df["imonth"].isin(month_value)]228            else:229                map_df=map_df[map_df['imonth'].isin(month_value) & map_df['iday'].isin(date_value)]  # here () not needed for expressions on either side of &230        231        if region_value==[] or region_value is None:232            pass233        else: 234            if country_value==[] or country_value is None: 235                map_df=map_df[map_df['region_txt'].isin(region_value)]236            else: 237                if state_value==[] or state_value is None:238                    map_df=map_df[map_df['region_txt'].isin(region_value) & map_df['country_txt'].isin(country_value)]239                else: 240                    if city_value==[] or city_value is None:241                        map_df=map_df[map_df['region_txt'].isin(region_value) & map_df['country_txt'].isin(country_value) & map_df['provstate'].isin(state_value)]242                    else:243                        map_df=map_df[map_df['region_txt'].isin(region_value) & map_df['country_txt'].isin(country_value) & map_df['provstate'].isin(state_value) & map_df['city'].isin(city_value)]244    245        if attack_value==[] or attack_value is None:246            pass247        else:248            map_df=map_df[map_df['attacktype1_txt'].isin(attack_value)]249    250        if map_df.shape[0]:251            pass252        else: 253            map_df = pd.DataFrame(columns = ['iyear', 'imonth', 'iday', 'country_txt', 'region_txt', 'provstate', 'city', 'latitude', 'longitude', 'attacktype1_txt', 'nkill'])254            map_df.loc[0] = [0, 0 ,0, None, None, None, None, None, None, None, None]255    256        figure_map=px.scatter_mapbox(257            map_df,258            lat='latitude',259            lon='longitude',260            color='attacktype1_txt',  261            hover_name="city",262            hover_data=['region_txt','country_txt','provstate','city','attacktype1_txt','nkill','iyear'],263            zoom=1  264            )265    266        figure_map.update_layout(267            mapbox_style='open-street-map',268            autosize=True,  269            margin=dict(l=0,r=0,t=25,b=20)                     270            )271    272        return dcc.Graph(figure=figure_map)273    else:274        pass275    276# To update the chart(world chart/india chart) according to user selected values277@app.callback(278        dash.dependencies.Output('chart-initials','children'),279        [280        dash.dependencies.Input('dropdown-chart','value'),281        dash.dependencies.Input('search-box','value'),282        dash.dependencies.Input('chart-year-slider','value'),283        dash.dependencies.Input('Tabs','value'),284        dash.dependencies.Input('Subtabs_chart','value')285        ]286        )287def update_app_ui_chart(chart_value,search_value,chart_year_value,tab,subtab): 288    figure_chart=go.Figure() 289        290    if tab=='chart':   # When chart is to be implemented291        year_range=range(chart_year_value[0],chart_year_value[1]+1)292        chart_df=df[df['iyear'].isin(year_range)]293        294        # Following if-else block would filter the output according to world chart or india chart295        if subtab=='worldchart':  296            pass297        else:  298            chart_df=chart_df[(chart_df["region_txt"]=="South Asia") & (chart_df["country_txt"]=="India")]299        300        if chart_value is not None:301            if search_value is not None:302                chart_df=chart_df=chart_df.groupby('iyear')[chart_value].value_counts().reset_index(name='count')303                chart_df=chart_df[chart_df[chart_value].str.contains(search_value,case=False)]304            else:305                chart_df=chart_df.groupby('iyear')[chart_value].value_counts().reset_index(name='count')306        else:307            raise PreventUpdate308        309        if chart_df.shape[0]:310            pass311        else: 312            chart_df = pd.DataFrame(columns = ['count', 'iyear','chart_value'])313            chart_df.loc[0] = [0, 0, "No Data"]314        315        figure_chart=px.area(chart_df,x='iyear',y='count',color=chart_value)316        317        return dcc.Graph(figure=figure_chart)318    else:319        pass320321# Updating the date dropdown options according to the value selected from month dropdown322@app.callback(323Output('dropdown-date','options'),324[Input('dropdown-month','value')]        325)326def update_date_options_acc_to_month_selected(month_value):327    dates=[x for x in range(1,32)]328    options=[]329    if month_value:330        options=[{'label':m,'value':m} for m in dates]331    return options332    333# 'dropdown_update_acc_to_world_or_india_map' callback is for providing india map tool facility (here we need to fix the values for region and country dropdowns)334@app.callback(335[336Output('dropdown-region','value'),337Output('dropdown-region','disabled'),338Output('dropdown-country','value'),339Output('dropdown-country','disabled')340],341[Input('Subtabs_map','value')]        342)343def dropdown_update_acc_to_world_or_india_map(subtab):344    region=None345    disable_region=False346    country=None347    disable_country=False348    if subtab=='worldmap':349        pass350    else:351        region=['South Asia']352        disable_region=True353        country=['India']354        disable_country=True355    return region, disable_region, country, disable_country356357# Chained callbacks to filter country,state,city options based on region,country,state values respectively358@app.callback(359Output('dropdown-country','options'),360[Input('dropdown-region','value')]     361)362def update_country_options_acc_to_region_selected(region_value):363    options=[]364    if region_value is None:365        raise PreventUpdate366    else: 367        for reg in region_value:368            if reg in country_data.keys():369                options.extend(country_data[reg])370    return [{'label':country,'value':country} for country in options]371@app.callback(372Output('dropdown-state','options'),373[Input('dropdown-country','value')]        374)375def update_state_options_acc_to_region_country_selected(country_value):376    options=[]377    if country_value is None:378        raise PreventUpdate379    else:380        for country in country_value:381            if country in state_data.keys():382                options.extend(state_data[country])383    return [{'label':state,'value':state} for state in options]384@app.callback(385Output('dropdown-city','options'),386[Input('dropdown-state','value')]         387)388def update_city_options_acc_to_region_country_state_selected(state_value):389    options=[]390    if state_value is None:391        raise PreventUpdate392    else:393        for state in state_value:394            if state in city_data.keys():395                options.extend(city_data[state])396    return [{'label':city,'value':city} for city in options]397398# Automatically opening the web app on running the script399def open_browser():400    url='http://127.0.0.1:8050/'401    webbrowser.open_new(url)402403# Program flow404def main():405    load_data()406    open_browser() 407    global app,df 408    app.layout=create_app_ui()409    app.title="Terrorism Analysis"410    app.run_server()411    df=None412    app=None413    414if __name__=='__main__':415    print('Project starting ... ')416    main()
...

extract_info.py

Source:extract_info.py

1from gensim.models.phrases import Phraser2from gensim.models import Word2Vec3from scipy.spatial.distance import cosine4from nltk import pos_tag5from collections import defaultdict6from ..nlp_utils.common import *7from ..nlp_utils.pos_tag import *8from ..nlp_utils.time import *9from ..nlp_utils.synonym import *10import numpy as np11init_tagger = Tagger(locations)12time_tagger = TimeTagger()13e_tag = ElementTagger()14bigram_phraser = Phraser.load(f"{COMMON_PATH}/bigram_phraser.pkl")15def process_for_ocr(text):16    final_text = defaultdict(lambda : defaultdict(float))17    for word in text:18        final_text[word][word] = 119        for i in range(0, len(word)-1):20            if len(word[:i+1]) > 1:21                final_text[word][word[:i+1]] += (i+1) / len(word)22            if len(word[i+1:]) > 1:23                final_text[word][word[i+1:]] += 1 - (i+1)/len(word)24    return final_text25def search(wordset, text):26    results = []27    text = " " + text + " "28    for keyword in wordset:29        if keyword:30            if " " + keyword + " " in text:31                results.append(keyword)32            # if re.search(r'\b' + re.escape(keyword) + r'\b', text, re.IGNORECASE):33                # results.append(keyword)34    return results35# Partial match only36def search_possible_location(text):37    results = []38    for location in locations:39        for i, extra in enumerate(locations[location]):40            if re.search(r'\b' + re.escape(extra) + r'\b', text, re.IGNORECASE):41                if extra not in results:42                    results.append(location)43    return results44# gps_location_sets = {location: set([pl for pl in location.lower().replace(',', ' ').split() if pl not in stop_words]) for location, gps in map_visualisation}45gps_not_lower = {}46for loc in locations:47    for origin_doc, (lat, lon) in map_visualisation:48        if loc == origin_doc.lower():49            gps_not_lower[loc] = origin_doc50def rreplace(s, old, new, occurrence):51    li = s.rsplit(old, occurrence)52    return new.join(li)53class Query:54    def __init__(self, text, shared_filters=None):55        self.negative = ""56        self.disable_region = False57        if "âdisable_region" in text:58            print("Disabling region")59            self.disable_region = True60            text = text.replace("âdisable_region", "")61        self.disable_location = False62        if "âdisable_location" in text:63            print("Disabling location")64            self.disable_location = True65            text = text.replace("âdisable_location", "")66        if "NOT" in text:67            text, self.negative = text.split("NOT")68            self.negative = self.negative.strip(". \n").lower()69            self.negative = [word for word in self.negative.split() if word in all_keywords]70        text = text.strip(". \n").lower()71        self.time_filters = None72        self.date_filters = None73        self.ocr_queries = []74        self.location_queries = []75        self.query_visualisation = defaultdict(list)76        self.location_filters = []77        self.country_to_visualise = []78        self.extract_info(text, shared_filters)79    def extract_info(self, text, shared_filters=None):80        def search_words(wordset):81            return search(wordset, text)82        self.original_text = text83        quoted_text = " ".join(re.findall(r'\"(.+?)\"', text))84        text = text.replace(f'"{quoted_text}"', "") #TODO!85        self.ocr = process_for_ocr(quoted_text.split())86        if not self.disable_location:87            self.locations = search_words(locations)88            self.place_to_visualise = [gps_not_lower[location] for location in self.locations]89            if self.locations:90                self.query_visualisation["LOCATION"].extend(self.locations)91            else:92                possible_locations = search_possible_location(text)93                if possible_locations:94                    self.query_visualisation["POSSIBLE LOCATION(S)"].extend(possible_locations)95        else:96            self.locations = []97            self.place_to_visualise = []98        print("Locations:", self.locations)99        for loc in self.locations:100            text = rreplace(text, loc, "", 1) #TODO!101        if not self.disable_region:102            self.regions = search_words(regions)103        else:104            self.regions = []105        for reg in self.regions:106            self.query_visualisation["REGION"].append(reg)107            for country in countries:108                if reg == country.lower():109                    self.country_to_visualise.append({"country": country, "geojson": countries[country]})110        for region in self.regions:111            text = rreplace(text, region, "", 1) #TODO!112        # processed = set([w.strip(",.") for word in self.regions +113                        #  self.locations for w in word.split()])114        # if not full_match:115        #     # self.locations.extend(search_words(116        #         # [w for w in ["hotel", "restaurant", "airport", "station", "cafe", "bar", "church"] if w not in self.locations]))117        #     for loc in self.locations[len(self.gps_results):]:118        #         for place, _ in map_visualisation:119        #             if loc in place.lower().split():120        #                 self.place_to_visualise.append(place)121        # if full_match:122        #     for loc in self.locations:123        #         self.query_visualisation["LOCATION"].append(loc)124        # else:125        #     for loc in self.locations:126        #         self.query_visualisation["POSSIBLE LOCATION"].append(loc)127        self.weekdays = []128        self.dates = None129        self.start = (0, 0)130        self.end = (24, 0)131        tags = time_tagger.tag(text)132        processed = set()133        for i, (word, tag) in enumerate(tags):134            if word in processed:135                continue136            if tag in ["WEEKDAY", "TIMERANGE", "TIMEPREP", "DATE", "TIME"]:137                processed.add(word)138                # self.query_visualisation["TIME" if "TIME" in tag else tag].append(word)139            if tag == "WEEKDAY":140                self.weekdays.append(word)141            elif tag == "TIMERANGE":142                s, e = word.split("-")143                self.start = adjust_start_end(144                    "start", self.start, *am_pm_to_num(s))145                self.end = adjust_start_end("end", self.end, *am_pm_to_num(e))146            elif tag == "TIME":147                if word in ["2019", "2020"]:148                    self.dates = get_day_month(word)149                else:150                    timeprep = ""151                    if i > 1 and tags[i-1][1] == 'TIMEPREP':152                        timeprep = tags[i-1][0]153                    if timeprep in ["before", "earlier than", "sooner than"]:154                        self.end = adjust_start_end(155                            "end", self.end, *am_pm_to_num(word))156                    elif timeprep in ["after", "later than"]:157                        self.start = adjust_start_end(158                            "start", self.start, *am_pm_to_num(word))159                    else:160                        h, m = am_pm_to_num(word)161                        self.start = adjust_start_end(162                            "start", self.start, h - 1, m)163                        self.end = adjust_start_end("end", self.end, h + 1, m)164            elif tag == "DATE":165                self.dates = get_day_month(word)166            elif tag == "TIMEOFDAY":167                if word not in ["lunch", "breakfast", "dinner", "sunrise", "sunset"]:168                    processed.add(word)169                # self.query_visualisation["TIME" if "TIME" in tag else tag].append(word)170                timeprep = ""171                if i > 1 and tags[i-1][1] == 'TIMEPREP':172                    timeprep = tags[i-1][0]173                if "early" in timeprep:174                    if "early; " + word in timeofday:175                        word = "early; " + word176                elif "late" in timeprep:177                    if "late; " + word in timeofday:178                        word = "late; " + word179                if word in timeofday:180                    s, e = timeofday[word].split("-")181                    self.start = adjust_start_end(182                        "start", self.start, *am_pm_to_num(s))183                    self.end = adjust_start_end(184                        "end", self.end, *am_pm_to_num(e))185                else:186                    print(187                        word, f"is not a registered time of day ({timeofday})")188        print(processed)189        print(tags)190        if shared_filters:191            if not self.weekdays:192                self.weekdays.extend(shared_filters.weekdays)193            if self.dates is None:194                self.dates = shared_filters.dates195        unprocessed = [(word, tag) for (word, tag) in tags if word not in processed]196        last_non_prep = 0197        self.clip_text = ""198        for i in range(1, len(unprocessed)  + 1):199            if unprocessed[-i][1] not in ["DT", "IN"] and unprocessed[-i][0] not in stop_words:200                last_non_prep = i201                break202        if last_non_prep > 1:203            self.clip_text = " ".join([word for word, tag in unprocessed[:-(last_non_prep - 1)]])204        else:205            self.clip_text = " ".join(206                [word for word, tag in unprocessed])207        self.clip_text = self.clip_text.strip(", ")208        print("CLIP:", self.clip_text)209        # self.query_visualisation[self.clip_text] = "CLIP"210    def get_info(self):211        return {"query_visualisation": [(hint, ", ".join(value)) for hint, value in self.query_visualisation.items()],212                "country_to_visualise": self.country_to_visualise,213                "place_to_visualise": self.place_to_visualise}214    def time_to_filters(self):215        if not self.time_filters:216            # Time217            self.time_filters = {218                                    "range":219                                    {220                                        "hour":221                                        {222                                            "gte": self.start[0],223                                            "lte": self.end[0]224                                        }225                                    }226                                }227            # Date228            self.date_filters = []229            if self.dates:230                y, m, d = self.dates231                if y:232                    self.date_filters.append({"term": {"year": str(y)}})233                if m:234                    self.date_filters.append(235                        {"term": {"month": str(m).rjust(2, "0")}})236                if d:237                    self.date_filters.append(238                        {"term": {"date": str(d).rjust(2, "0")}})239            if self.start[0] != 0 and self.end[0] != 24:240                self.query_visualisation["TIME"] = [f"{self.start[0]}:00 - {self.end[0]}:00"]241            if str(self.dates) != "None":242                self.query_visualisation["DATE"] = [str(self.dates)]243        return self.time_filters, self.date_filters244    def make_ocr_query(self):245        if not self.ocr_queries:246            self.ocr_queries = []247            for ocr_word in self.ocr:248                dis_max = []249                for ocr_word, score in self.ocr[ocr_word].items():250                    dis_max.append(251                        {"rank_feature": {"field": f"ocr_score.{ocr_word}", "boost": 200 * score, "linear": {}}})252                self.ocr_queries.append({"dis_max": {253                    "queries": dis_max,254                    "tie_breaker": 0.0}})255        return self.ocr_queries256        #TODO: multiple word in OCR257    def make_location_query(self):258        if not self.location_filters:259            for loc in self.locations:260                place = gps_not_lower[loc]261                place = gps_not_lower[loc]262                dist = "0.5km"263                pivot = "5m"264                if "airport" in loc or "home" in loc:265                    dist = "2km"266                    pivot = "200m"267                elif "dcu" in loc:268                    dist = "1km"269                    pivot = "100m"270                for place_iter, (lat, lon) in map_visualisation:271                    if place == place_iter:272                        # self.location_queries.append({273                        #         "distance_feature": {274                        #             "field": "gps",275                        #             "pivot": pivot,276                        #             "origin": [lon, lat],277                        #             "boost": score * 50278                        #         }279                        #     })280                        self.location_filters.append({281                            "geo_distance": {282                                "distance": dist,283                                "gps": [lon, lat]284                            }285                        })286                        break287            # # General:288            # if len(self.gps_results) < len(self.locations):289            #     for loc in self.locations[len(self.gps_results):]:290            #         loc_set = set(loc.split())291            #         for place, (lat, lon) in map_visualisation:292            #             set_place = gps_location_sets[place]293            #             if loc_set.issubset(set_place):294            #                 pivot = "5m"295            #                 if "airport" in set_place:296            #                     pivot = "200m"297            #                     self.location_filters.append({298            #                         "geo_distance": {299            #                             "distance": "2km",300            #                             "gps": [lon, lat]301            #                         }302            #                     })303            #                 elif "dcu" in set_place:304            #                     pivot = "100m"305            #                 self.location_queries.append({306            #                     "distance_feature": {307            #                         "field": "gps",308            #                         "pivot": pivot,309            #                         "origin": [lon, lat],310            #                         "boost": len(loc_set) / len(set_place) * 50311            #                     }312            #                 })313        # if self.location_queries:314            # return {"dis_max": {"queries": self.location_queries, "tie_breaker": 0.0}}...

test_cell.py

Source:test_cell.py

...110        assert widget._center_btn is not None111        assert widget._center_btn.icon == "map-marker"112        assert widget._centered == False113        assert widget._can_select == True114    def test_disable_region(self, widget):115        """Tests `disable_region`."""116        widget.disable_region(True)117        assert widget._region_checkbox.disabled == True118        assert widget._center_btn.disabled == True119        widget.disable_region(False)120        assert widget._region_checkbox.disabled == False121        assert widget._center_btn.disabled == False122    def test_center_region(self, widget):123        """Tests `center_region`."""124        widget.center_region(True)125        assert widget._centered == True126        assert widget._center_btn.icon == "map-pin"127        widget.center_region(False)128        assert widget._centered == False129        assert widget._center_btn.icon == "map-marker"130    def test_remove_center(self, widget):131        """Tests `remove_center`."""132        widget.remove_center()133        assert widget._centered == False...

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