From 7319462b975a7661bf831e95f4be45d58c8fa21b Mon Sep 17 00:00:00 2001 From: Sandrro Date: Thu, 19 Sep 2024 20:39:07 +0300 Subject: [PATCH 1/3] made fixes for docs --- docs/build/doctrees/404.doctree | Bin 3071 -> 3069 bytes .../build/doctrees/about/installation.doctree | Bin 2810 -> 2808 bytes .../build/doctrees/about/introduction.doctree | Bin 8174 -> 7733 bytes docs/build/doctrees/about/pipeline.doctree | Bin 9802 -> 9078 bytes docs/build/doctrees/environment.pickle | Bin 589580 -> 789864 bytes docs/build/doctrees/index.doctree | Bin 6521 -> 6522 bytes .../doctrees/modules/GeoDataGetter.doctree | Bin 3531 -> 29537 bytes .../doctrees/modules/Geocoder_special.doctree | Bin 64683 -> 63188 bytes .../doctrees/modules/OtherGeoObjects.doctree | Bin 20247 -> 57121 bytes .../doctrees/modules/StreetExtractor.doctree | Bin 24023 -> 23918 bytes docs/build/doctrees/modules/Streets.doctree | Bin 4376 -> 23015 bytes docs/build/doctrees/modules/VKParser.doctree | Bin 3174 -> 52364 bytes 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@@ -207,7 +194,7 @@
- sloyka 0.1.0 documentation + sloyka 0.2.1 documentation
- + \ No newline at end of file diff --git a/docs/build/html/_modules/index.html b/docs/build/html/_modules/index.html index 8026f93..2d5b4e7 100644 --- a/docs/build/html/_modules/index.html +++ b/docs/build/html/_modules/index.html @@ -4,11 +4,11 @@ - - Overview: module code - sloyka 0.1.0 documentation + + Overview: module code - sloyka 0.2.1 documentation - - + + @@ -88,19 +88,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -179,7 +166,7 @@
-
sloyka 0.1.0 documentation
 +
sloyka 0.2.1 documentation
@@ -206,7 +193,7 @@
- sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -294,6 +281,9 @@

All modules for which code is available

  • sloyka.src.risks.event_detector
  • sloyka.src.risks.text_classifier
  • sloyka.src.semantic_graph.semantic_graph_builder
    • +
  • sloyka.src.utils.data_getter.geo_data_getter
    • +
  • sloyka.src.utils.data_getter.street_getter
    • +
  • sloyka.src.utils.data_getter.vk_data_getter
  • sloyka.src.utils.data_processing.city_services_extract
  • sloyka.src.visual.graph_visualization
    • @@ -327,9 +317,9 @@

    All modules for which code is available

    - + - + \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/geocoder/city_objects_extractor.html b/docs/build/html/_modules/sloyka/src/geocoder/city_objects_extractor.html index a96e67f..0ea86f3 100644 --- a/docs/build/html/_modules/sloyka/src/geocoder/city_objects_extractor.html +++ b/docs/build/html/_modules/sloyka/src/geocoder/city_objects_extractor.html @@ -4,11 +4,11 @@ - - sloyka.src.geocoder.city_objects_extractor - sloyka 0.1.0 documentation + + sloyka.src.geocoder.city_objects_extractor - sloyka 0.2.1 documentation - - + + @@ -88,19 +88,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -179,7 +166,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -206,7 +193,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -290,7 +277,6 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    from typing import List import re import pandas as pd -import osmnx as ox from shapely.geometry import Point, Polygon, MultiPolygon from loguru import logger import pymorphy2 @@ -411,20 +397,23 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    @staticmethod def restoration_of_normal_form(other_geo_obj, osm_combined_df, threshold=0.7) -> List[str]: """ - This function compares the extracted location entity with an OSM array and returns a normalized form if the percentage of similarity is at least 70%. + This function compares the extracted location entity with an OSM array + and returns a normalized form if the percentage of similarity is at least 70%. """ osm_name_obj = osm_combined_df["name"].tolist() similarity_matrix = np.zeros((len(other_geo_obj), len(osm_name_obj))) def extract_numbers(s): return re.findall(r"\d+", s) + + percents = 100 for i, word1 in enumerate(other_geo_obj): numbers_from_extraction = extract_numbers(word1) for j, word2 in enumerate(osm_name_obj): numbers_from_OSM_name = extract_numbers(word2) if numbers_from_extraction == numbers_from_OSM_name: - similarity = fuzz.ratio(word1, word2) / 100.0 + similarity = fuzz.ratio(word1, word2) / percents else: similarity = 0 similarity_matrix[i, j] = similarity @@ -440,10 +429,13 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    return restoration_list
    +
    +[docs] @staticmethod - def find_num_city_obj(text, NUM_CITY_OBJ) -> List[str]: + def find_num_city_obj(text) -> List[str]: """ - This function searches for urban objects in the text, the names of which are represented as a number. For example, "school No. 6". + This function searches for urban objects in the text, + the names of which are represented as a number. For example, "school No. 6". """ text = str(text) text = text.lower() @@ -464,8 +456,11 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    else: num_obj_list_clear[key] = obj - return list(num_obj_list_clear.values()) + return list(num_obj_list_clear.values())
    + +
    +[docs] @staticmethod def combine_city_obj(df_obj) -> pd.DataFrame: """ @@ -473,8 +468,11 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    """ df_obj["other_geo_obj"] = df_obj["other_geo_obj"] + df_obj["other_geo_obj_num"] df_obj.drop(columns=["other_geo_obj_num"], inplace=True) - return df_obj + return df_obj
    + +
    +[docs] @staticmethod def expand_toponym(df_obj) -> pd.DataFrame: """ @@ -485,8 +483,11 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    lambda x: x if isinstance(x, list) and x else None ) expanded_df = expanded_df.explode("other_geo_obj").reset_index(drop=True) - return expanded_df + return expanded_df
    + +
    +[docs] @staticmethod def find_geometry(toponym, osm_combined_df) -> Point: """ @@ -498,8 +499,11 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    if not match.empty: return match.iloc[0, 1] else: - return None + return None
    + +
    +[docs] @staticmethod def find_geo_obj_tag(toponym, osm_combined_df) -> str: """ @@ -511,11 +515,15 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    if not match.empty: return match.iloc[0, -1] else: - return None + return None
    + +
    +[docs] @staticmethod def get_unique_part_types(df): - return df["other_geo_obj"].unique() + return df["other_geo_obj"].unique()
    +
    [docs] @@ -530,7 +538,7 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    df_obj["other_geo_obj"] = df_obj[text_column].apply(OtherGeoObjects.extract_geo_obj) df_obj["other_geo_obj_num"] = df_obj[text_column].apply( - lambda x: OtherGeoObjects.find_num_city_obj(x, NUM_CITY_OBJ) + lambda x: OtherGeoObjects.find_num_city_obj(x) ) df_obj = OtherGeoObjects.combine_city_obj(df_obj) @@ -583,9 +591,9 @@

    Source code for sloyka.src.geocoder.city_objects_extractor

    +
    - + \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/geocoder/geocoder.html b/docs/build/html/_modules/sloyka/src/geocoder/geocoder.html index 387b2ab..a39cebf 100644 --- a/docs/build/html/_modules/sloyka/src/geocoder/geocoder.html +++ b/docs/build/html/_modules/sloyka/src/geocoder/geocoder.html @@ -4,11 +4,11 @@ - - sloyka.src.geocoder.geocoder - sloyka 0.1.0 documentation + + sloyka.src.geocoder.geocoder - sloyka 0.2.1 documentation - - + + @@ -88,19 +88,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -179,7 +166,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -206,7 +193,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -214,15 +201,21 @@
    -

    About:

    +

    General:

    Receiving:

    @@ -287,26 +281,26 @@

    Source code for sloyka.src.geocoder.geocoder

    location in the text. 
 
 @class:Location:
-A class aimed to efficiently geocode addresses using Nominatim. Geocoded addresses are stored in the 'book' dictionary argument. 
+A class aimed to efficiently geocode addresses using Nominatim. 
+Geocoded addresses are stored in the 'book' dictionary argument. 
 Thus, if the address repeats, it would be taken from the book.
 
 @class:Streets: 
 A class encapsulating functionality for retrieving street data
-for a specified city from OSM and processing it to extract useful information for geocoding purposes.
+for a specified city from OSM and processing it to extract useful information
+for geocoding purposes.
 
 @class:Geocoder:
 A class providing functionality for simple geocoding and address extraction.
 """
-import numpy as np
+
 import re
-import warnings
-import os
 import flair
+from sloyka.src.utils.constants import GLOBAL_CRS
 import geopandas as gpd
 import pandas as pd
 import pymorphy2
 import torch
-import string
 import math
 from rapidfuzz import fuzz
 from nltk.stem.snowball import SnowballStemmer
@@ -321,49 +315,19 @@ 
    Source code for sloyka.src.geocoder.geocoder
    from flair.models import SequenceTagger
 from shapely.geometry import Point
 from tqdm import tqdm
-# from natasha import (
-#     Segmenter,
-#     MorphVocab,
-#     NewsEmbedding,
-#     NewsMorphTagger,
-#     NewsSyntaxParser,
-#     NewsNERTagger,
-#     Doc,
-# )
 
 from loguru import logger
 
 from pandarallel import pandarallel
-from sloyka.src.geocoder.city_objects_getter import OtherGeoObjects
+from sloyka.src.geocoder.city_objects_extractor import OtherGeoObjects
 from sloyka.src.utils.data_getter.street_getter import Streets
 from sloyka.src.utils.data_getter.location_getter import Location
 from sloyka.src.utils.data_getter.geo_data_getter import GeoDataGetter
+from sloyka.src.utils.data_preprocessing.preprocessor import PreprocessorInput
 from sloyka.src.geocoder.street_extractor import StreetExtractor
 from sloyka.src.geocoder.word_form_matcher import WordFormFinder
 
-import warnings
-
-warnings.simplefilter("ignore")
-warnings.filterwarnings("ignore", category=DeprecationWarning)
-
 pandarallel.initialize(progress_bar=True, nb_workers=-1)
-
-# segmenter = Segmenter()
-# morph_vocab = MorphVocab()
-morph = pymorphy2.MorphAnalyzer()
-
-# emb = NewsEmbedding()
-# morph_tagger = NewsMorphTagger(emb)
-# syntax_parser = NewsSyntaxParser(emb)
-# ner_tagger = NewsNERTagger(emb)
-warnings.simplefilter(action="ignore", category=FutureWarning)
-warnings.filterwarnings("ignore", category=DeprecationWarning)
-
-
-
-
-stemmer = SnowballStemmer("russian")
-
 tqdm.pandas()
 
 
@@ -374,17 +338,18 @@ 
    Source code for sloyka.src.geocoder.geocoder
        This class provides a functionality of simple geocoder
     """
 
-    dir_path = os.path.dirname(os.path.realpath(__file__))
-
-    global_crs: int = 4326
-
     def __init__(
         self,
+        df,
         model_path: str = "Geor111y/flair-ner-addresses-extractor",
         device: str = "cpu",
         osm_id: int = None,
-        city_tags: dict ={"place": ["state"]}
+        city_tags: dict ={"place": ["state"]},
+        stemmer_lang: str = "russian",
+        text_column_name:str = 'text'
     ):
+        self.text_column_name = text_column_name
+        self.df = PreprocessorInput().run(df, text_column_name)
         self.device = device
         flair.device = torch.device(device)
         self.classifier = SequenceTagger.load(model_path)
@@ -395,8 +360,12 @@ 
    Source code for sloyka.src.geocoder.geocoder
    .iloc[0]["name"]
         )
         self.street_names = Streets.run(self.osm_id)
+        self.stemmer = SnowballStemmer(stemmer_lang)
+        
 
 
+
    
+[docs]
     @staticmethod
     def get_stem(street_names_df: pd.DataFrame) -> pd.DataFrame:
         """
@@ -412,9 +381,12 @@ 
    Source code for sloyka.src.geocoder.geocoder
    street_names_df[case] = street_names_df["street_name"].apply(
                 lambda x: morph.parse(x)[0].inflect({case}).word if morph.parse(x)[0].inflect({case}) else None
             )
-        return street_names_df
+        return street_names_df
    
 
 
+
+
    
+[docs]
     @staticmethod
     def get_level(row: pd.Series) -> str:
         """
@@ -430,9 +402,12 @@ 
    Source code for sloyka.src.geocoder.geocoder
    elif (not pd.isna(row["Street"])) and (row["Numbers"] != ""):
             return "house"
         else:
-            return "global"
+            return "global"
    
+
 
  
+
    
+[docs]
     def create_gdf(self, df: pd.DataFrame) -> gpd.GeoDataFrame:
         """
         Function simply creates gdf from the recognised geocoded geometries.
@@ -444,10 +419,13 @@ 
    Source code for sloyka.src.geocoder.geocoder
    df["geometry"] = df['Location'].apply(lambda x: Point(x.longitude, x.latitude))
         df["Location"] = df['Location'].apply(lambda x: x.address)
         df["Numbers"].astype(str)
-        gdf = gpd.GeoDataFrame(df, geometry="geometry", crs=Geocoder.global_crs)
+        gdf = gpd.GeoDataFrame(df, geometry="geometry", crs=GLOBAL_CRS)
+
+        return gdf
    
 
-        return gdf
 
+
    
+[docs]
     def set_global_repr_point(self, gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
         """
         This function set the centroid (actually, representative point) of the
@@ -462,8 +440,11 @@ 
    Source code for sloyka.src.geocoder.geocoder
    except AttributeError:
             pass
 
-        return gdf
+        return gdf
    
+
 
+
    
+[docs]
     def merge_to_initial_df(self, gdf: gpd.GeoDataFrame, initial_df: pd.DataFrame) -> gpd.GeoDataFrame:
         """
         This function merges geocoded df to the initial df in order to keep
@@ -486,15 +467,23 @@ 
    Source code for sloyka.src.geocoder.geocoder
    ],
             how="outer",
         )
-        gdf = gpd.GeoDataFrame(gdf, geometry="geometry", crs=Geocoder.global_crs)
+        gdf = gpd.GeoDataFrame(gdf, geometry="geometry", crs=GLOBAL_CRS)
+
+        return
    
 
-        return
 
+
    
+[docs]
     def assign_street(variable):
+        '''Simple workaround'''
+
         if isinstance(variable, float) and math.isnan(variable):
             return "street"
-        return variable
+        return variable
    
+
 
+
    
+[docs]
     def get_df_areas(self, osm_id, tags):
         """
         Retrieves the GeoDataFrame of areas corresponding to the given OSM ID and tags.
@@ -517,8 +506,11 @@ 
    Source code for sloyka.src.geocoder.geocoder
    df_areas = geo_data_getter.get_features_from_id(osm_id=osm_id, tags=tags)
             df_areas = df_areas[df_areas["element_type"] != "way"]
             area_cache[osm_id] = df_areas
-        return area_cache[osm_id]
+        return area_cache[osm_id]
    
+
 
+
    
+[docs]
     def preprocess_group_name(self, group_name):
         """
         Preprocesses a group name by converting it to lowercase, removing special characters, and removing specified stopwords.
@@ -534,8 +526,11 @@ 
    Source code for sloyka.src.geocoder.geocoder
    words_to_remove = GROUP_STOPWORDS
         for word in words_to_remove:
             group_name = re.sub(word, "", group_name, flags=re.IGNORECASE)
-        return group_name
+        return group_name
    
 
+
+
    
+[docs]
     def preprocess_area_names(self, df_areas):
         """
         Preprocesses the area names in the given DataFrame by removing specified stopwords, converting the names to lowercase,
@@ -558,10 +553,13 @@ 
    Source code for sloyka.src.geocoder.geocoder
    REGEX_PATTERN, REPLACEMENT_STRING, regex=True
         )
         df_areas["area_stems"] = df_areas["area_name_processed"].apply(
-            lambda x: [stemmer.stem(word) for word in x.split()]
+            lambda x: [self.stemmer.stem(word) for word in x.split()]
         )
-        return df_areas
+        return df_areas
    
+
 
+
    
+[docs]
     def match_group_to_area(self, group_name, df_areas):
         """
         Matches a given group name to an area in a DataFrame of areas.
@@ -574,7 +572,7 @@ 
    Source code for sloyka.src.geocoder.geocoder
                tuple: A tuple containing the best match for the group name and the admin level of the match.
                    If no match is found, returns (None, None).
         """
-        group_name_stems = [stemmer.stem(word) for word in group_name.split()]
+        group_name_stems = [self.stemmer.stem(word) for word in group_name.split()]
         max_partial_ratio = 20
         max_token_sort_ratio = 20
         best_match = None
@@ -592,12 +590,14 @@ 
    Source code for sloyka.src.geocoder.geocoder
    best_match = row["area_name"]
                 admin_level = row["key"]
 
-        return best_match, admin_level
+        return best_match, admin_level
    
+
 
 
    
 [docs]
     def run(
-        self, df: pd.DataFrame, tags:dict|None=None, text_column: str = "text", group_column: str | None = "group_name", search_for_objects=False
+        self, df: pd.DataFrame = None, tags:dict|None=None, 
+        group_column: str | None = "group_name", search_for_objects=False
     ):
         """
         Runs the data processing pipeline on the input DataFrame.
@@ -617,8 +617,14 @@ 
    Source code for sloyka.src.geocoder.geocoder
            objects and street names, preprocesses the street names, finds the word form, creates a GeoDataFrame,
         merges it with the other geographic objects, assigns the street tag, and returns the final GeoDataFrame.
         """
+        df = self.df
+        initial_df = df.copy()
+        text_column = self.text_column_name
+
+        if search_for_objects:
+            df_obj = OtherGeoObjects.run(self.osm_id, df, text_column)
+            
 
-        # initial_df = df.copy()
         if tags:
             df_areas = self.get_df_areas(self.osm_id, tags)
             df_areas = self.preprocess_area_names(df_areas)
@@ -630,10 +636,8 @@ 
    Source code for sloyka.src.geocoder.geocoder
    df.at[i, "territory"] = best_match
                     df.at[i, "key"] = admin_level
             del df_areas
-        # df = AreaMatcher.run(self, df, osm_id, tags, date)
 
         df[text_column] = df[text_column].astype(str).str.replace('\n', ' ')
-        df_reconstruction = df.copy()
         df[text_column] = df[text_column].apply(str)
         
 
@@ -644,250 +648,19 @@ 
    Source code for sloyka.src.geocoder.geocoder
    del street_names
         gdf = self.create_gdf(df)
-        del df
 
         if search_for_objects:
-            df_obj = OtherGeoObjects.run(self.osm_id, df, text_column)
             gdf = pd.concat([gdf, df_obj], ignore_index=True)
             del df_obj
             gdf["geo_obj_tag"] = gdf["geo_obj_tag"].apply(Geocoder.assign_street)
 
-        gdf = pd.concat(
-            [gdf, df_reconstruction[~df_reconstruction[text_column].isin(gdf[text_column])]], ignore_index=True
-        )
-
-        # gdf2 = self.merge_to_initial_df(gdf, initial_df)
+        gdf = pd.merge(gdf, initial_df, on=text_column, how='right')
 
-        # # Add a new 'level' column using the get_level function
-        # gdf2["level"] = gdf2.progress_apply(self.get_level, axis=1)
-        # gdf2 = self.set_global_repr_point(gdf2)
-        gdf.set_crs(4326, inplace=True)
+        gdf.set_crs(GLOBAL_CRS, inplace=True)
         return gdf
    
 
    
 
     
-
-    # def extract_ner_street(self, text: str) -> pd.Series:
-    #     """
-    #     Function calls the pre-trained custom NER model to extract mentioned
-    #     addresses from the texts (usually comment) in social networks in
-    #     russian language.
-    #     The model scores 0.8 in F1 and other metrics.
-    #     """
-
-    #     try:
-    #         text = re.sub(r"\[.*?\]", "", text)
-    #     except Exception:
-    #         return pd.Series([None, None])
-
-    #     sentence = Sentence(text)
-    #     self.classifier.predict(sentence)
-    #     try:
-    #         res = sentence.get_labels("ner")[0].labeled_identifier.split("]: ")[1].split("/")[0].replace('"', "")
-    #         score = round(sentence.get_labels("ner")[0].score, 3)
-    #         if score > 0.7:
-    #             return pd.Series([res, score])
-    #         else:
-    #             return pd.Series([None, None])
-
-    #     except IndexError:
-    #         return pd.Series([None, None])
-
-    # @staticmethod
-    # def extract_building_num(text, street_name, number) -> string:
-    #     """
-    #     The function finds the already extracted street name in the text
-    #     and searches for numbers related to building numbers in a certain range of indexes
-    #     around the street name.
-    #     """
-    #     if pd.notna(number) and number != "":
-    #         return number
-    #     if isinstance(text, float) and math.isnan(text):
-    #         return ""
-
-    #     clear_text = str(text).translate(str.maketrans("", "", string.punctuation))
-    #     clear_text = clear_text.lower().split(" ")
-    #     positions = [index for index, item in enumerate(clear_text) if item == street_name]
-
-    #     if not positions:
-    #         return ""
-
-    #     position = positions[0]
-    #     search_start = max(0, position)
-    #     search_end = min(len(clear_text), position + END_INDEX_POSITION)
-
-    #     num_result = []
-
-    #     for f_index in range(max(0, search_start), min(len(clear_text), search_end)):
-    #         element = clear_text[f_index]
-    #         if any(character.isdigit() for character in str(element)) and len(str(element)) <= 3:
-    #             num_result.append(element)
-    #             break
-
-    #     if num_result:
-    #         return num_result[0]
-    #     else:
-    #         return ""
-
-    # @staticmethod
-    # def extract_toponym(text, street_name) -> string:
-    #     """
-    #     The function finds the already extracted street name in the text
-    #     and searches for words related to toponyms in a certain range of indexes
-    #     around the street name.
-    #     """
-    #     if isinstance(text, float) and math.isnan(text):
-    #         return None
-
-    #     clear_text = str(text).translate(str.maketrans("", "", string.punctuation))
-    #     clear_text = clear_text.lower().split(" ")
-    #     positions = [index for index, item in enumerate(clear_text) if item == street_name]
-
-    #     if not positions:
-    #         return None
-
-    #     position = positions[0]
-    #     search_start = max(0, position - int(START_INDEX_POSITION))
-    #     search_end = min(len(clear_text), position + int(END_INDEX_POSITION))
-
-    #     ad_result = []
-    #     for i in range(search_start, min(search_end + 1, len(clear_text))):
-    #         word = clear_text[i]
-    #         normal_form = morph.parse(word)[0].normal_form
-    #         if normal_form in TARGET_TOPONYMS:
-    #             ad_result.append(REPLACEMENT_DICT.get(normal_form, normal_form))
-
-    #     if ad_result:
-    #         return ad_result[0]
-    #     else:
-    #         return None
-
-       # def get_street(self, df: pd.DataFrame, text_column: str) -> gpd.GeoDataFrame:
-    #     """
-    #     Function calls NER model and post-process result in order to extract
-    #     the address mentioned in the text.
-    #     """
-    #     logger.info("get_street started")
-
-    #     df[text_column].dropna(inplace=True)
-    #     df[text_column] = df[text_column].astype(str)
-
-    #     logger.info("extract_ner_street started")
-
-    #     df[["Street", "Score"]] = df[text_column].progress_apply(lambda t: self.extract_ner_street(t))
-    #     df["Street"] = df[[text_column, "Street"]].progress_apply(
-    #         lambda row: Geocoder.get_ner_address_natasha(row, text_column),
-    #         axis=1,
-    #     )
-
-    #     df = df[df.Street.notna()]
-    #     df = df[df["Street"].str.contains("[а-яА-Я]")]
-
-    #     logger.info("pattern1.sub started")
-
-    #     pattern1 = re.compile(r"(\D)(\d)(\D)")
-    #     df["Street"] = df["Street"].progress_apply(lambda x: pattern1.sub(r"\1 \2\3", x))
-
-    #     logger.info("pattern2.findall started")
-
-    #     pattern2 = re.compile(r"\d+")
-    #     df["Numbers"] = df["Street"].progress_apply(lambda x: " ".join(pattern2.findall(x)))
-
-    #     logger.info("pattern2.sub started")
-
-    #     df["Street"] = df["Street"].progress_apply(lambda x: pattern2.sub("", x).strip())
-
-    #     df["initial_street"] = df["Street"].copy()
-
-    #     df["Street"] = df["Street"].str.lower()
-
-    #     logger.info("extract_building_num started")
-
-    #     df["Numbers"] = df.progress_apply(
-    #         lambda row: Geocoder.extract_building_num(row[text_column], row["Street"], row["Numbers"]),
-    #         axis=1,
-    #     )
-
-    #     logger.info("extract_toponym started")
-
-    #     df["Toponims"] = df.progress_apply(
-    #         lambda row: Geocoder.extract_toponym(row[text_column], row["Street"]),
-    #         axis=1,
-    #     )
-    #     return df
-
-    # df = pd.DataFrame(data={'text': 'На биржевой 14 что-то произошло'}, index=[0])
-    # print(Geocoder().run(df=df, text_column='text'))
-
-
-    # def find_word_form(self, df: pd.DataFrame, strts_df: pd.DataFrame) -> pd.DataFrame:
-    #     """
-    #     In Russian language any word has different forms.
-    #     Since addresses are extracted from the texts in social networks,
-    #     they might be in any possible form. This function is aimed to match that
-    #     free form to the one that is used in the OSM database.
-
-    #     Since the stem is found there would be several streets with that stem
-    #     in their name.
-    #     However, the searching street name has its specific ending (form) and
-    #     not each matched street name could have it.
-    #     """
-
-    #     df["full_street_name"] = None
-
-    #     for idx, row in df.iterrows():
-    #         search_val = row["Street"]
-    #         search_top = row["Toponims"]
-    #         val_num = row["Numbers"]
-
-    #         for col in strts_df.columns[2:]:
-    #             search_rows = strts_df.loc[strts_df[col] == search_val]
-    #             matching_rows = search_rows[search_rows["toponim_name"] == search_top]
-
-    #             if not matching_rows.empty:
-    #                 only_streets_full = matching_rows["street"].values
-    #                 streets_full = [
-    #                     street + f" {val_num}" + f" {self.osm_city_name}" + " Россия" for street in only_streets_full
-    #                 ]
-
-    #                 df.loc[idx, "full_street_name"] = ",".join(streets_full)
-    #                 df.loc[idx, "only_full_street_name"] = ",".join(only_streets_full)
-
-    #             else:
-    #                 if search_val in strts_df[col].values:
-    #                     only_streets_full = strts_df.loc[strts_df[col] == search_val, "street"].values
-    #                     streets_full = [
-    #                         street + f" {val_num}" + f" {self.osm_city_name}" + " Россия"
-    #                         for street in only_streets_full
-    #                     ]
-
-    #                     df.loc[idx, "full_street_name"] = ",".join(streets_full)
-    #                     df.loc[idx, "only_full_street_name"] = ",".join(only_streets_full)
-
-    #     df.dropna(subset=["full_street_name", "only_full_street_name"], inplace=True)
-    #     df["location_options"] = df["full_street_name"].str.split(",")
-    #     df["only_full_street_name"] = df["only_full_street_name"].str.split(",")
-
-    #     tmp_df_1 = df["location_options"].explode()
-    #     tmp_df_1.name = "addr_to_geocode"
-    #     tmp_df_2 = df["only_full_street_name"].explode()
-    #     tmp_df_2.name = "only_full_street_name"
-    #     new_df = tmp_df_1.to_frame().join(tmp_df_2.to_frame())
-
-    #     df.drop(columns=["only_full_street_name"], inplace=True)
-    #     df = df.merge(new_df, left_on=df.index, right_on=new_df.index)
-    #     df.drop(columns=["key_0"], inplace=True)
-
-    #     # new_df = df["only_full_street_name"].explode()
-    #     # new_df.name = "only_full_street_name"
-    #     # df.drop(columns=['key_0', 'only_full_street_name'], inplace=True)
-    #     # df = df.merge(new_df, left_on=df.index, right_on=new_df.index)
-
-    #     # print(df.head())
-    #     df["only_full_street_name"] = df["only_full_street_name"].astype(str)
-    #     df["location_options"] = df["location_options"].astype(str)
-
-    #     return df
 
    
         
       
    
@@ -919,9 +692,9 @@ 
    Source code for sloyka.src.geocoder.geocoder
       
    
-
    
+
    
     
     
-    
+    
     
 
\ No newline at end of file
diff --git a/docs/build/html/_modules/sloyka/src/geocoder/street_extractor.html b/docs/build/html/_modules/sloyka/src/geocoder/street_extractor.html
index ecea240..94c6819 100644
--- a/docs/build/html/_modules/sloyka/src/geocoder/street_extractor.html
+++ b/docs/build/html/_modules/sloyka/src/geocoder/street_extractor.html
@@ -4,11 +4,11 @@
     
     
 
-    
-        sloyka.src.geocoder.street_extractor - sloyka 0.1.0 documentation
+    
+        sloyka.src.geocoder.street_extractor - sloyka 0.2.1 documentation
       
-    
-    
+    
+    
     
     
     
@@ -88,19 +88,6 @@
       
     
   
-  
-    Auto light/dark mode
-    
-      
-      
-      
-      
-      
-      
-      
-    
-  
   
     Auto light/dark, in light mode
     
       
       
-      
     
   
   
@@ -179,7 +166,7 @@
       
     
    
     
    
-      
    sloyka 0.1.0 documentation
    
+      
    sloyka 0.2.1 documentation
    
     
    
     
    
       
    
@@ -206,7 +193,7 @@
     
   
    
   
-  sloyka 0.1.0 documentation
+  sloyka 0.2.1 documentation
   
 
 
    
-  
    About:
    
+  
    General:
    
 
 
    Receiving:
    
 
    
@@ -331,7 +325,7 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    texts = StreetExtractor._preprocess_text_column(local_df, text_column)
         extracted_streets = StreetExtractor._extract_streets(texts, classifier)
         refined_streets = StreetExtractor._refine_street_data(extracted_streets)
-        building_numbers = StreetExtractor._extract_building_numbers(texts, refined_streets)
+        building_numbers = StreetExtractor._get_number(texts, refined_streets)
         toponyms = StreetExtractor._extract_toponyms(texts, refined_streets)
 
         # Combine results into a DataFrame
@@ -417,6 +411,7 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    refined_streets.append(None)
             else:
                 refined_streets.append(None)
+                
         return refined_streets
 
     @staticmethod
@@ -432,14 +427,14 @@ 
    Source code for sloyka.src.geocoder.street_extractor
            """
         try:
             street = re.sub(r"(\D)(\d)(\D)", r"\1 \2\3", street)
-            street = re.sub(r"\d+", "", street).strip().lower()
+            street = re.sub(r"\d+|-| ", "", street).strip().lower()
             return street
         except Exception as e:
             logger.warning(f"Error in _refine_street_name with street '{street}': {e}")
             return ""
 
     @staticmethod
-    def _extract_building_numbers(texts: List[str], streets: List[Optional[str]]) -> List[Optional[str]]:
+    def _get_number(texts: List[str], streets: List[Optional[str]]) -> List[Optional[str]]:
         """
         Extract building numbers from the text data.
 
@@ -454,7 +449,7 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    for text, street in zip(texts, streets):
             if street:
                 try:
-                    building_numbers.append(StreetExtractor._extract_building_number(text, street))
+                    building_numbers.append(StreetExtractor._extract_building_number_from_text(text, street))
                 except Exception as e:
                     logger.warning(f"Error extracting building number from text '{text}' with street '{street}': {e}")
                     building_numbers.append(None)
@@ -463,7 +458,7 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    return building_numbers
 
     @staticmethod
-    def _extract_building_number(text: str, street: str) -> str:
+    def _extract_building_number_from_text(text: str, street: str) -> str:
         """
         Extract building number from the text.
 
@@ -476,9 +471,9 @@ 
    Source code for sloyka.src.geocoder.street_extractor
            """
         try:
             numbers = " ".join(re.findall(r"\d+", text))
-            return StreetExtractor.extract_building_num(text, street, numbers)
+            return StreetExtractor._check_if_extracted_number_legit(text, street, numbers)
         except Exception as e:
-            logger.warning(f"Error in _extract_building_number with text '{text}' and street '{street}': {e}")
+            logger.warning(f"Error in _extract_building_number_from_text with text '{text}' and street '{street}': {e}")
             return ""
 
     @staticmethod
@@ -546,32 +541,32 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    return None
    
 
 
-    @staticmethod
-    def _clean_text(text: str) -> str:
-        """
-        Clean the input text by removing punctuation and converting to lowercase.
+    # @staticmethod
+    # def _clean_text(text: str) -> str:
+    #     """
+    #     Clean the input text by removing punctuation and converting to lowercase.
 
-        Args:
-            text (str): The input text.
+    #     Args:
+    #         text (str): The input text.
 
-        Returns:
-            str: The cleaned text.
-        """
-        return text.translate(str.maketrans("", "", string.punctuation)).lower()
+    #     Returns:
+    #         str: The cleaned text.
+    #     """
+    #     return text.translate(str.maketrans("", "", string.punctuation)).lower()
 
-    @staticmethod
-    def _find_street_name_positions(words: List[str], street_name: str) -> List[int]:
-        """
-        Find positions of the street name in the list of words.
+    # @staticmethod
+    # def _find_street_name_positions(words: List[str], street_name: str) -> List[int]:
+    #     """
+    #     Find positions of the street name in the list of words.
 
-        Args:
-            words (List[str]): List of words from the cleaned text.
-            street_name (str): The name of the street to find.
+    #     Args:
+    #         words (List[str]): List of words from the cleaned text.
+    #         street_name (str): The name of the street to find.
 
-        Returns:
-            List[int]: List of positions where the street name occurs.
-        """
-        return [index for index, word in enumerate(words) if word == street_name]
+    #     Returns:
+    #         List[int]: List of positions where the street name occurs.
+    #     """
+    #     return [index for index, word in enumerate(words) if word == street_name]
 
     @staticmethod
     def _search_toponyms(words: List[str], position: int) -> Optional[str]:
@@ -589,22 +584,21 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    search_end = min(len(words), position + END_INDEX_POSITION)
 
         for i in range(search_start, search_end + 1):
-            word = words[i]
+            
             try:
+                word = words[i]
                 normal_form = morph.parse(word)[0].normal_form
+            
+                if normal_form in TARGET_TOPONYMS:
+                    return REPLACEMENT_DICT.get(normal_form, normal_form)
+            
             except Exception as e:
                 logger.warning(f"Error parsing word '{word}': {e}")
                 continue
-
-            if normal_form in TARGET_TOPONYMS:
-                return REPLACEMENT_DICT.get(normal_form, normal_form)
-
         return None
 
-
    
-[docs]
     @staticmethod
-    def extract_building_num(text: str, street_name: str, number: Optional[str]) -> str:
+    def _check_if_extracted_number_legit(text: str, street_name: str, number: Optional[str]) -> str:
         """
         Extract building numbers near the specified street name in the text.
 
@@ -620,9 +614,6 @@ 
    Source code for sloyka.src.geocoder.street_extractor
                str: The first building number found if present, otherwise an empty string.
         """
         try:
-            if pd.notna(number) and number != "":
-                return number
-
             if isinstance(text, float) and math.isnan(text):
                 return ""
 
@@ -638,8 +629,7 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    except Exception as e:
             logger.warning(f"Error in extract_building_num with text '{text}', street_name '{street_name}', number '{number}': {e}")
-            return ""
    
-
+            return ""
 
 
     @staticmethod
@@ -654,7 +644,7 @@ 
    Source code for sloyka.src.geocoder.street_extractor
            Returns:
             List[int]: List of positions where the street name occurs.
         """
-        return [index for index, word in enumerate(words) if word == street_name]
+        return [index for index, word in enumerate(words) if word.lower() == street_name]
 
     @staticmethod
     def _search_building_number(words: List[str], position: int) -> str:
@@ -821,9 +811,9 @@ 
    Source code for sloyka.src.geocoder.street_extractor
    
+
    
     
     
-    
+    
     
 
\ No newline at end of file
diff --git a/docs/build/html/_modules/sloyka/src/risks/emotion_classifier.html b/docs/build/html/_modules/sloyka/src/risks/emotion_classifier.html
index fa61e2b..cba2229 100644
--- a/docs/build/html/_modules/sloyka/src/risks/emotion_classifier.html
+++ b/docs/build/html/_modules/sloyka/src/risks/emotion_classifier.html
@@ -4,11 +4,11 @@
     
     
 
-    
-        sloyka.src.risks.emotion_classifier - sloyka 0.1.0 documentation
+    
+        sloyka.src.risks.emotion_classifier - sloyka 0.2.1 documentation
       
-    
-    
+    
+    
     
     
     
@@ -88,19 +88,6 @@
       
     
   
-  
-    Auto light/dark mode
-    
-      
-      
-      
-      
-      
-      
-      
-    
-  
   
     Auto light/dark, in light mode
     
       
       
-      
     
   
   
@@ -179,7 +166,7 @@
       
     
    
     
    
-      
    sloyka 0.1.0 documentation
    
+      
    sloyka 0.2.1 documentation
    
     
    
     
    
       
    
@@ -206,7 +193,7 @@
     
   
    
   
-  sloyka 0.1.0 documentation
+  sloyka 0.2.1 documentation
   
 
 
    
-  
    About:
    
+  
    General:
    
 
 
    Receiving:
    
 
    
@@ -318,8 +312,8 @@ 
    Source code for sloyka.src.risks.emotion_classifier
        - text_column: The name of the column containing the text to be analyzed.
     """
 
-    def __init__(self, model_name=HuggingFaceModel.Text.Bert_Large, device=None):
-        self.device = device if device is not None else ("cuda" if torch.cuda.is_available() else "cpu")
+    def __init__(self, model_name=HuggingFaceModel.Text.Bert_Tiny, device='cpu'):
+        self.device = device
         self.model_name = model_name
 
         # Define the default model names to avoid repeated initialization
@@ -330,14 +324,19 @@ 
    Source code for sloyka.src.risks.emotion_classifier
    HuggingFaceModel.Text.Bert_Tiny2,
         ]
 
+        self.recognizer = TextRecognizer(model=self.model_name, device=self.device)
+
+    #def init_base_recognizer(self):
+    #    self.recognizer = TextRecognizer(model=self.model_name, device=self.device)
+
+
 
    
 [docs]
     def recognize_emotion(self, text):
         """
         Return the emotion for a given text.
         """
-        recognizer = TextRecognizer(model=self.model_name, device=self.device)
-        emotion = recognizer.recognize(text, return_single_label=True)
+        emotion = self.recognizer.recognize(text, return_single_label=True)
         return emotion
    
 
 
@@ -431,9 +430,9 @@ 
    Source code for sloyka.src.risks.emotion_classifier
    
+
    
     
     
-    
+    
     
 
\ No newline at end of file
diff --git a/docs/build/html/_modules/sloyka/src/risks/event_detector.html b/docs/build/html/_modules/sloyka/src/risks/event_detector.html
index eadb556..47e2beb 100644
--- a/docs/build/html/_modules/sloyka/src/risks/event_detector.html
+++ b/docs/build/html/_modules/sloyka/src/risks/event_detector.html
@@ -4,11 +4,11 @@
     
     
 
-    
-        sloyka.src.risks.event_detector - sloyka 0.1.0 documentation
+    
+        sloyka.src.risks.event_detector - sloyka 0.2.1 documentation
       
-    
-    
+    
+    
     
     
     
@@ -88,19 +88,6 @@
       
     
   
-  
-    Auto light/dark mode
-    
-      
-      
-      
-      
-      
-      
-      
-    
-  
   
     Auto light/dark, in light mode
     
       
       
-      
     
   
   
@@ -179,7 +166,7 @@
       
     
    
     
    
-      
    sloyka 0.1.0 documentation
    
+      
    sloyka 0.2.1 documentation
    
     
    
     
    
       
    
@@ -206,7 +193,7 @@
     
   
    
   
-  sloyka 0.1.0 documentation
+  sloyka 0.2.1 documentation
   
 
 
    
-  
    About:
    
+  
    General:
    
 
 
    Receiving:
    
 
    
@@ -298,6 +292,7 @@ 
    Source code for sloyka.src.risks.event_detector
    <
 @method:_preprocess:
 Preprocess the data.
 """
+
 import re
 from itertools import chain, combinations
 
@@ -816,9 +811,9 @@ 
    Source code for sloyka.src.risks.event_detector
    <
       
     
   
    
-
    
+
    
     
     
-    
+    
     
 
\ No newline at end of file
diff --git a/docs/build/html/_modules/sloyka/src/risks/text_classifier.html b/docs/build/html/_modules/sloyka/src/risks/text_classifier.html
index 3d725fc..38ef820 100644
--- a/docs/build/html/_modules/sloyka/src/risks/text_classifier.html
+++ b/docs/build/html/_modules/sloyka/src/risks/text_classifier.html
@@ -4,11 +4,11 @@
     
     
 
-    
-        sloyka.src.risks.text_classifier - sloyka 0.1.0 documentation
+    
+        sloyka.src.risks.text_classifier - sloyka 0.2.1 documentation
       
-    
-    
+    
+    
     
     
     
@@ -88,19 +88,6 @@
       
     
   
-  
-    Auto light/dark mode
-    
-      
-      
-      
-      
-      
-      
-      
-    
-  
   
     Auto light/dark, in light mode
     
       
       
-      
     
   
   
@@ -179,7 +166,7 @@
       
     
    
     
    
-      
    sloyka 0.1.0 documentation
    
+      
    sloyka 0.2.1 documentation
    
     
    
     
    
       
    
@@ -206,7 +193,7 @@
     
   
    
   
-  sloyka 0.1.0 documentation
+  sloyka 0.2.1 documentation
   
 
 
    
-  
    About:
    
+  
    General:
    
 
 
    Receiving:
    
 
    
@@ -301,6 +295,7 @@ 
    Source code for sloyka.src.risks.text_classifier
    
 @method:run_text_classifier: 
  Takes a text as input and returns the predicted categories and probabilities.
 """
+
 import pandas as pd
 from transformers import pipeline
 from sloyka.src.utils.exceptions import InvalidInputError, ClassifierInitializationError, ClassificationError
@@ -392,9 +387,9 @@ 
    Source code for sloyka.src.risks.text_classifier
    
       
     
   
    
-
    
+
    
     
     
-    
+    
     
 
\ No newline at end of file
diff --git a/docs/build/html/_modules/sloyka/src/semantic_graph/semantic_graph_builder.html b/docs/build/html/_modules/sloyka/src/semantic_graph/semantic_graph_builder.html
index debfb18..92625b4 100644
--- a/docs/build/html/_modules/sloyka/src/semantic_graph/semantic_graph_builder.html
+++ b/docs/build/html/_modules/sloyka/src/semantic_graph/semantic_graph_builder.html
@@ -4,11 +4,11 @@
     
     
 
-    
-        sloyka.src.semantic_graph.semantic_graph_builder - sloyka 0.1.0 documentation
+    
+        sloyka.src.semantic_graph.semantic_graph_builder - sloyka 0.2.1 documentation
       
-    
-    
+    
+    
     
     
     
@@ -88,19 +88,6 @@
       
     
   
-  
-    Auto light/dark mode
-    
-      
-      
-      
-      
-      
-      
-      
-    
-  
   
     Auto light/dark, in light mode
     
       
       
-      
     
   
   
@@ -179,7 +166,7 @@
       
     
    
     
    
-      
    sloyka 0.1.0 documentation
    
+      
    sloyka 0.2.1 documentation
    
     
    
     
    
       
    
@@ -206,7 +193,7 @@
     
   
    
   
-  sloyka 0.1.0 documentation
+  sloyka 0.2.1 documentation
   
 
 
    
-  
    About:
    
+  
    General:
    
 
 
    Receiving:
    
 
    
@@ -320,7 +313,7 @@ 
    Source code for sloyka.src.semantic_graph.semantic_graph_builder
    clean_from_links,
 )
 
-nltk.download("stopwords")
+
 
 
 from sloyka.src.utils.constants import TAG_ROUTER
@@ -349,6 +342,7 @@ 
    Source code for sloyka.src.semantic_graph.semantic_graph_builder
    self.model_name = bert_name
         self.model = BertModel.from_pretrained(bert_name).to(device)
 
+
 
    
 [docs]
     @staticmethod
@@ -425,6 +419,7 @@ 
    Source code for sloyka.src.semantic_graph.semantic_graph_builder
    data = clean_from_links(data, text_column)
 
         extracted = extract_keywords(
+            self,
             data,
             text_column,
             text_type_column,
@@ -442,7 +437,7 @@ 
    Source code for sloyka.src.semantic_graph.semantic_graph_builder
    preprocessed_df = self.convert_df_to_edge_df(data=df, toponym_column=toponym_column)
 
-        words_df = get_semantic_closeness(preprocessed_df, "TO", semantic_score_filter)
+        words_df = get_semantic_closeness(self, preprocessed_df, "TO", semantic_score_filter)
 
         graph_df = pd.concat([preprocessed_df, words_df], ignore_index=True)
         if directed:
@@ -551,46 +546,6 @@ 
    Source code for sloyka.src.semantic_graph.semantic_graph_builder
    return joined_G
    
 
    
 
-
-
-# debugging
-# if __name__ == '__main__':
-#     file = open("C:\\Users\\thebe\\Downloads\\test.geojson", encoding='utf-8')
-#     test_gdf = gpd.read_file(file)
-#
-#     sm = Semgraph()
-#
-#     G = sm.build_graph(test_gdf[:3000],
-#                        id_column='id',
-#                        text_column='text',
-#                        text_type_column='type',
-#                        toponym_column='only_full_street_name_numbers',
-#                        toponym_name_column='initial_street',
-#                        toponym_type_column='Toponims',
-#                        post_id_column='post_id',
-#                        parents_stack_column='parents_stack',
-#                        location_column='Location',
-#                        geometry_column='geometry')
-#
-#     # print(len(G.nodes))
-#     #
-#     # G = sm.update_graph(G,
-#     #                     test_gdf[3000:],
-#     #                     id_column='id',
-#     #                     text_column='text',
-#     #                     text_type_column='type',
-#     #                     toponym_column='only_full_street_name',
-#     #                     toponym_name_column='initial_street',
-#     #                     toponym_type_column='Toponims',
-#     #                     post_id_column='post_id',
-#     #                     parents_stack_column='parents_stack',
-#     #                     counts_attribute='counts',
-#     #                     location_column='Location',
-#     #                     geometry_column='geometry')
-#     #
-#     # print(len(G.nodes))
-#     #
-#     # nx.write_graphml(G, 'name.graphml', encoding='utf-8')
 
    
         
       
    
@@ -622,9 +577,9 @@ 
    Source code for sloyka.src.semantic_graph.semantic_graph_builder
    
   
    
-
    
+
    - + \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_getter/geo_data_getter.html b/docs/build/html/_modules/sloyka/src/utils/data_getter/geo_data_getter.html new file mode 100644 index 0000000..512a5d7 --- /dev/null +++ b/docs/build/html/_modules/sloyka/src/utils/data_getter/geo_data_getter.html @@ -0,0 +1,485 @@ + + + + + + + + sloyka.src.utils.data_getter.geo_data_getter - sloyka 0.2.1 documentation + + + + + + + + + + + + + + + + + Contents + + + + + + Menu + + + + + + + + Expand + + + + + + Light mode + + + + + + + + + + + + + + Dark mode + + + + + + + Auto light/dark, in light mode + + + + + + + + + + + + + + + Auto light/dark, in dark mode + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
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    +
    sloyka 0.2.1 documentation
     +
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    +
    + + + + + Back to top + +
    +
    + +
    + +
    +
    +

    Source code for sloyka.src.utils.data_getter.geo_data_getter

    +import warnings
+warnings.filterwarnings("ignore")
+
+from contextlib import suppress
+import osmnx as ox
+import geopandas as gpd
+import pandas as pd
+from sloyka.src.utils.constants import (
+    GLOBAL_CRS,
+    GLOBAL_METRIC_CRS,
+)
+from tqdm import tqdm
+import requests
+import osm2geojson
+import networkx as nx
+from loguru import logger
+
+from sloyka.src.utils.exceptions import *
+
+
    
+[docs]
+class GeoDataGetter:
+    """
+    This class is used to retrieve geospatial data from OpenStreetMap (OSM) based on given OSM ID and tags.
+
+    Methods:
+    - get_features_from_id: Retrieves features from the given OSM ID using the provided tags and OSM type, and returns the results as a GeoDataFrame.
+    - _get_place_from_id: Retrieves the place from the given OSM ID and OSM type.
+    - _process_tags: Processes the provided tags and returns a list of GeoDataFrames.
+    - _get_features_from_place: Retrieves features from a specific place based on category and tag.
+    - _handle_error: Handles any errors that occur during the process and prints an error message.
+    """
+
    
+[docs]
+    @staticmethod
+    def get_osm_data(osm_id: int, tags: dict) -> pd.DataFrame:
+        """
+        Retrieves spatial data from OSM for given tags using OSM ID and returns a DataFrame.
+        """
+        try:
+            osm_id_rel = f"R{osm_id}"
+            city_boundary_gdf = ox.geocode_to_gdf(osm_id_rel, by_osmid=True)
+            polygon = city_boundary_gdf["geometry"].iloc[0]
+            data = ox.features_from_polygon(polygon, tags)
+            df = pd.DataFrame(data)
+            df = df.dropna(subset=["name"])
+            df = df.loc[:, ["name", "geometry"] + list(tags.keys())]
+            return df
+        except Exception as e:
+            raise ConectionError(f"Error retrieving OSM data for {osm_id_rel}: {e}")
    
+
+
+
    
+[docs]
+    @staticmethod
+    def get_city_bounds(osm_id: int) -> gpd.GeoDataFrame:
+        """
+        Method retrieves the boundary of a specified city from OSM
+        using Overpass API and returns a GeoDataFrame representing
+        the boundary as a polygon.
+        """
+        # Streets.logger.info(f"Retrieving city bounds for osm_id {osm_id}")
+        overpass_url = "http://overpass-api.de/api/interpreter"
+        overpass_query = f"""
+        [out:json];
+            (
+            relation({osm_id});
+            );
+            out geom;
+            """
+
+        try:
+            result = requests.get(overpass_url, params={"data": overpass_query},timeout=30).json()
+            resp = osm2geojson.json2geojson(result)
+            city_bounds = gpd.GeoDataFrame.from_features(resp["features"]).set_crs(GLOBAL_CRS)
+            # Streets.logger.debug(f"City bounds retrieved: {city_bounds}")
+            return city_bounds
+        except requests.exceptions.RequestException as exc:
+            with suppress(ConectionError):
+                raise ConectionError(f'unable to get city bounds') from exc
    
+
+
+
    
+[docs]
+    @staticmethod
+    def get_features_from_id(
+        osm_id: int,
+        tags: dict,
+        osm_type="R",
+        selected_columns=["tag", "element_type", "osmid", "name", "geometry", "centroid"],
+    ) -> gpd.GeoDataFrame:
+        """
+        Get features from the given OSM ID using the provided tags and OSM type, and return the results as a GeoDataFrame.
+
+        Args:
+            osm_id (int): The OpenStreetMap ID.
+            tags (dict): The tags to filter by.
+            osm_type (str, optional): The OpenStreetMap type. Defaults to "R".
+            selected_columns (list, optional): The selected columns to include in the result GeoDataFrame.
+            Defaults to ['tag', 'element_type', 'osmid', 'name', 'geometry', 'centroid'].
+
+        Returns:
+            gpd.GeoDataFrame: The GeoDataFrame containing the features.
+        """
+        place = GeoDataGetter._get_place_from_id(osm_id, osm_type)
+        gdf_list = GeoDataGetter._process_tags(tags, place)
+
+        if len(gdf_list) > 0:
+            merged_gdf = pd.concat(gdf_list).reset_index().loc[:, selected_columns]
+        else:
+            merged_gdf = pd.DataFrame(columns=selected_columns)
+
+        return merged_gdf
    
+
+
+    @staticmethod
+    def _get_place_from_id(osm_id, osm_type):
+        place = ox.project_gdf(ox.geocode_to_gdf(osm_type + str(osm_id), by_osmid=True))
+        return place
+
+    @staticmethod
+    def _process_tags(tags, place):
+        gdf_list = []
+        place_name = place.name.iloc[0]
+        for category, category_tags in tags.items():
+            for tag in tqdm(category_tags, desc=f"Processing category {category}"):
+                try:
+                    gdf = GeoDataGetter._get_features_from_place(place_name, category, tag)
+                    gdf_list.append(gdf)
+                except AttributeError:
+                    logger.warning(f'Error processing {tags, place}')
+                    pass
+        return gdf_list
+
+    @staticmethod
+    def _get_features_from_place(place_name, category, tag):
+        gdf = ox.features_from_place(place_name, tags={category: tag})
+        gdf.geometry.dropna(inplace=True)
+        gdf["tag"] = category
+        gdf["centroid"] = gdf["geometry"]
+
+        tmpgdf = ox.projection.project_gdf(gdf, to_crs=GLOBAL_METRIC_CRS, to_latlong=False)
+        tmpgdf["centroid"] = tmpgdf["geometry"].centroid
+        tmpgdf = tmpgdf.to_crs(GLOBAL_CRS)
+        gdf["centroid"] = tmpgdf["centroid"]
+        tmpgdf = None
+
+        return gdf
+    
+
    
+[docs]
+    @staticmethod
+    def get_drive_graph(city_bounds: gpd.GeoDataFrame) -> nx.MultiDiGraph:
+        """
+        Method uses the OSMnx library to retrieve the street network for a
+        specified city and returns it as a NetworkX MultiDiGraph object, where
+        each edge represents a street segment and each node represents
+        an intersection.
+        """
+
+        try:
+            G_drive = ox.graph_from_polygon(city_bounds.dissolve()["geometry"].squeeze(), network_type="drive")
+            logger.debug(f"Drive graph retrieved: {G_drive}")
+            if isinstance(G_drive, nx.Graph):
+                return G_drive
+            else:
+                raise AttributeError
+        except AttributeError as exc:
+            with suppress(ConectionError):
+                raise ConectionError(f"Error retrieving drive graph: {exc}") from exc
    
+
    
+
+
    +
    +
    +
    + +
    + + +
    +
    +
    +
    + Copyright © 2024, itmo_idu +
    + Made with + Furo + +
    +
    + +
    +
    + +
    +
    + +
    +
    + + + + + \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_getter/street_getter.html b/docs/build/html/_modules/sloyka/src/utils/data_getter/street_getter.html new file mode 100644 index 0000000..0c2d448 --- /dev/null +++ b/docs/build/html/_modules/sloyka/src/utils/data_getter/street_getter.html @@ -0,0 +1,441 @@ + + + + + + + + sloyka.src.utils.data_getter.street_getter - sloyka 0.2.1 documentation + + + + + + + + + + + + + + + + + Contents + + + + + + Menu + + + + + + + + Expand + + + + + + Light mode + + + + + + + + + + + + + + Dark mode + + + + + + + Auto light/dark, in light mode + + + + + + + + + + + + + + + Auto light/dark, in dark mode + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    +
    + +
    +
    +
    sloyka 0.2.1 documentation
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    +
    + +
    + +
    +
    +

    Source code for sloyka.src.utils.data_getter.street_getter

    +import re
+import geopandas as gpd
+import pandas as pd
+
+import warnings
+
+from sloyka.src.utils.data_getter.geo_data_getter import GeoDataGetter as dg
+from sloyka.src.utils.data_preprocessing import preprocessor as pp
+from sloyka.src.utils.constants import TOPONYM_PATTERN
+
+warnings.simplefilter("ignore")
+warnings.filterwarnings("ignore", category=DeprecationWarning)
+
+class StreetsError(Exception):
+    """Custom exception for streets-related errors"""
+
+    pass
+
+
+
    
+[docs]
+class Streets:
+    """
+    This class encapsulates functionality for retrieving street data
+    for a specified city from OSM and processing it to extract useful
+    information for geocoding purposes.
+    """
+
+
    
+[docs]
+    @staticmethod
+    def get_street_names(gdf: gpd.GeoDataFrame) -> pd.DataFrame:
+        """
+        Method extracts the unique street names from a
+        GeoDataFrame of street segments.
+        """
+        # Streets.logger.info("Extracting street names")
+        names = set(gdf["name"].explode().dropna())
+        df_streets = pd.DataFrame(names, columns=["street"])
+        # Streets.logger.debug(f"Street names extracted: {df_streets}")
+        return df_streets
    
+
+
+
    
+[docs]
+    @staticmethod
+    def find_toponim_words_from_name(x: str) -> str:
+        """
+        A method to find toponim words from the given name string.
+
+        Args:
+            x (str): The input name string.
+
+        Returns:
+            str: The found toponim word from the input name string, or None if not found.
+        """
+        # Streets.logger.debug(f"Finding toponim words in {x}")
+        pattern = re.compile(
+            TOPONYM_PATTERN,
+            re.IGNORECASE,
+        )
+
+        match = pattern.search(x)
+
+        if match:
+            return match.group().strip().lower()
+        else:
+            return None
    
+
+
+
    
+[docs]
+    @staticmethod
+    def drop_words_from_name(x: str) -> str:
+        """
+        This function drops parts of street names that are not the name
+        of the street (e.g. avenue).
+        """
+        # Streets.logger.debug(f"Dropping words from {x}")
+        try:
+            lst = re.split(
+                TOPONYM_PATTERN,
+                x,
+            )
+            lst.remove("")
+
+            return lst[0].strip().lower()
+
+        except ValueError:
+            return x
    
+
+
+
    
+[docs]
+    @staticmethod
+    def clear_names(streets_df: pd.DataFrame) -> pd.DataFrame:
+        """
+        This function pre-process the street names from the OSM.
+        This step is necessary to match recognised street addresses later.
+        We need to do this match because Nominatim is very sensitive geocoder
+        and requires almost exact match between addresses in the OSM database
+        and the geocoding address.
+        """
+        # Streets.logger.info("Clearing street names")
+        streets_df["toponim_name"] = streets_df["street"].map(Streets.find_toponim_words_from_name)
+        streets_df["street_name"] = streets_df["street"].map(Streets.drop_words_from_name)
+        # Streets.logger.debug(f"Street names cleared: {streets_df}")
+        return streets_df
    
+
+
+
    
+[docs]
+    @staticmethod
+    def run(osm_id: int) -> pd.DataFrame:
+        """
+        A static method to run the process of getting street data based on the given
+        OSM id, returning a pandas DataFrame.
+        """
+        # Streets.logger.info(f"Running street data retrieval for osm_id {osm_id}")
+        city_bounds = dg.get_city_bounds(osm_id)
+        streets_graph = dg.get_drive_graph(city_bounds)
+        streets_gdf = pp.graph_to_gdf(streets_graph)
+        streets_df = Streets.get_street_names(streets_gdf)
+        streets_df = Streets.clear_names(streets_df)
+        # Streets.logger.info(f"Street data retrieval complete: {streets_df}")
+        return streets_df
    
+
    
+
+
    +
    +
    +
    + +
    + + +
    +
    +
    +
    + Copyright © 2024, itmo_idu +
    + Made with + Furo + +
    +
    + +
    +
    + +
    +
    + +
    +
    + + + + + \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_getter/vk_data_getter.html b/docs/build/html/_modules/sloyka/src/utils/data_getter/vk_data_getter.html index 00061d5..485474f 100644 --- a/docs/build/html/_modules/sloyka/src/utils/data_getter/vk_data_getter.html +++ b/docs/build/html/_modules/sloyka/src/utils/data_getter/vk_data_getter.html @@ -4,11 +4,11 @@ - - sloyka.src.utils.data_getter.vk_data_getter - sloyka 0.1.0 documentation + + sloyka.src.utils.data_getter.vk_data_getter - sloyka 0.2.1 documentation - - + + @@ -88,19 +88,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -179,7 +166,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -206,7 +193,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation
    -

    About:

    +

    General:

    Receiving:

    @@ -293,29 +287,15 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    A class for working with street data. """ -import osmnx as ox -import geopandas as gpd import pandas as pd -from sloyka.src.utils.constants import ( - GLOBAL_CRS, - GLOBAL_METRIC_CRS, -) -from shapely.ops import transform from tqdm import tqdm import requests -import sys import datetime import time -import osm2geojson import random -from typing import List, Optional -from osmapi import OsmApi -import networkx as nx -from loguru import logger -
    -[docs] +[docs] class VKParser: API_VERISON = "5.131" COUNT_ITEMS = 100 @@ -323,7 +303,7 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    TIMEOUT_LIMIT = 15
    -[docs] +[docs] @staticmethod def get_group_name(domain, accsess_token): params = {"group_id": domain, "access_token": accsess_token, "v": VKParser.API_VERISON} @@ -338,7 +318,7 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    -[docs] +[docs] @staticmethod def get_owner_id_by_domain(domain, access_token): """ @@ -366,7 +346,7 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    -[docs] +[docs] @staticmethod def get_group_post_ids(domain, access_token, post_num_limit, step) -> list: """ @@ -400,9 +380,9 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    -[docs] +[docs] @staticmethod - def get_subcomments(owner_id, post_id, access_token, params): + def get_subcomments(params): """ Retrieves subcomments from the VK API. @@ -433,8 +413,8 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    -[docs] - def get_comments(owner_id, post_id, access_token): +[docs] + def get_comments(self, owner_id, post_id, access_token): """ Get comments for a post on VK using the specified owner ID, post ID, and access token. @@ -473,13 +453,13 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    comments.append(item) if item["thread"]["count"] > 0: params["comment_id"] = item["id"] - subcomments = VKParser.get_subcomments(owner_id, post_id, access_token, params) + subcomments = VKParser.get_subcomments(params) comments.extend(subcomments) return comments
    -[docs] +[docs] @staticmethod def comments_to_dataframe(comments): """ @@ -497,7 +477,7 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    -[docs] +[docs] @staticmethod def run_posts(domain, access_token, cutoff_date, number_of_messages=float("inf"), step=50): """ @@ -514,7 +494,6 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    pandas.DataFrame: A DataFrame containing the retrieved posts. """ - domain = domain offset = 0 all_posts = [] if step > number_of_messages: @@ -558,23 +537,27 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    -[docs] +[docs] @staticmethod def run_comments(domain, post_ids, access_token): owner_id = VKParser.get_owner_id_by_domain(domain, access_token) all_comments = [] for post_id in tqdm(post_ids): - comments = VKParser.get_comments(owner_id, post_id, access_token) + comments = VKParser().get_comments(owner_id, post_id, access_token) all_comments.extend(comments) - df = VKParser.comments_to_dataframe(all_comments) - df["type"] = "comment" - df = df.reset_index(drop=True) - print("comments downloaded") - return df
    + if len(all_comments) > 0: + df = VKParser.comments_to_dataframe(all_comments) + df["type"] = "comment" + df = df.reset_index(drop=True) + print("comments downloaded") + return df + else: + print("no comments") + return None
    -[docs] +[docs] @staticmethod def run_parser(domain, access_token, cutoff_date, number_of_messages=float("inf"), step=100): """ @@ -592,17 +575,20 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    post_ids = df_posts["id"].tolist() df_comments = VKParser.run_comments(domain=owner_id, post_ids=post_ids, access_token=access_token) - df_comments.loc[df_comments["parents_stack"].apply(lambda x: len(x) > 0), "type"] = "reply" - for i in range(len(df_comments)): - tmp = df_comments["parents_stack"].iloc[i] - if tmp is not None: - if len(tmp) > 0: - df_comments["parents_stack"].iloc[i] = tmp[0] - else: - df_comments["parents_stack"].iloc[i] = None - - df_combined = df_comments.join(df_posts, on="post_id", rsuffix="_post") - df_combined = pd.concat([df_posts, df_comments], ignore_index=True) + if df_comments is not None: + df_comments.loc[df_comments["parents_stack"].apply(lambda x: len(x) > 0), "type"] = "reply" + for i in range(len(df_comments)): + tmp = df_comments["parents_stack"].iloc[i] + if tmp is not None: + if len(tmp) > 0: + df_comments["parents_stack"].iloc[i] = tmp[0] + else: + df_comments["parents_stack"].iloc[i] = None + + df_combined = df_comments.join(df_posts, on="post_id", rsuffix="_post") + df_combined = pd.concat([df_posts, df_comments], ignore_index=True) + else: + df_combined = df_posts df_group_name = VKParser.get_group_name(domain, access_token) df_combined["group_name"] = df_group_name["group_name"][0] @@ -640,9 +626,9 @@

    Source code for sloyka.src.utils.data_getter.vk_data_getter

    +
    - + \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_processing/city_services_extract.html b/docs/build/html/_modules/sloyka/src/utils/data_processing/city_services_extract.html index 988ad40..b7d7d14 100644 --- a/docs/build/html/_modules/sloyka/src/utils/data_processing/city_services_extract.html +++ b/docs/build/html/_modules/sloyka/src/utils/data_processing/city_services_extract.html @@ -4,11 +4,11 @@ - - sloyka.src.utils.data_processing.city_services_extract - sloyka 0.1.0 documentation + + sloyka.src.utils.data_processing.city_services_extract - sloyka 0.2.1 documentation - - + + @@ -88,19 +88,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -179,7 +166,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -206,7 +193,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation
    -

    About:

    +

    General:

    Receiving:

    @@ -280,25 +274,25 @@

    Source code for sloyka.src.utils.data_processing.city_services_extract

    -import pandas as pd
-import numpy as np
+import numpy as np
 from flair.models import SequenceTagger
 from flair.data import Sentence
 from rapidfuzz import fuzz
-from typing import List
 from sloyka.src.utils.constants import CITY_SERVICES_NAMES
-
-tagger = SequenceTagger.load("Glebosol/city_services")
-
+from sloyka.src.utils.data_preprocessing.preprocessor import PreprocessorInput
 
 
    
 [docs]
 class City_services:
+
+    def __init__(self, model_name:str="Glebosol/city_services"):
+        self.tagger = SequenceTagger.load(model_name)
+
 
    
 [docs]
-    def extraction_services(text):
+    def extraction_services(self, text):
         sentence = Sentence(text)
-        tagger.predict(sentence)
+        self.tagger.predict(sentence)
         entities = sentence.get_spans("ner")
         entity_names = [entity.text for entity in entities]
         return entity_names
    
@@ -311,10 +305,6 @@ 
    Source code for sloyka.src.utils.data_processing.city_services_extract
    <
         return reduced_words
    
 
 
-    # def replace_with_most_similar(entity_names: List[str], CITY_SERVICES_NAMES: List[str]) -> List[str]:
-    #     true_city_services_names = [difflib.get_close_matches(word_entity_names, CITY_SERVICES_NAMES, n=1, cutoff=0.0)[0] for word_entity_names in entity_names]
-    #     return true_city_services_names
-
 
    
 [docs]
     def replace_with_most_similar(list_of_entities):
@@ -333,11 +323,11 @@ 
    Source code for sloyka.src.utils.data_processing.city_services_extract
    <
 
    
 [docs]
     def run(self, df, text_column):
-        df["City_services_extraced"] = df[text_column].apply(lambda text: City_services.extraction_services(text))
-        df["City_services_cuted"] = df["City_services_extraced"].apply(
-            lambda row: City_services.remove_last_letter(row)
-        )
-        df["City_services"] = df["City_services_cuted"].apply(lambda row: City_services.replace_with_most_similar(row))
+        df = PreprocessorInput.run(df, text_column)
+        city_services = City_services()
+        df["City_services_extraced"] = df[text_column].apply(city_services.extraction_services)
+        df["City_services_cuted"] = df["City_services_extraced"].apply(City_services.remove_last_letter)
+        df["City_services"] = df["City_services_cuted"].apply(City_services.replace_with_most_similar)
         df.drop("City_services_cuted", axis=1, inplace=True)
         return df
    
 
    
@@ -373,9 +363,9 @@ 
    Source code for sloyka.src.utils.data_processing.city_services_extract
    <
    -
    +
    - + \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/visual/graph_visualization.html b/docs/build/html/_modules/sloyka/src/visual/graph_visualization.html index 7e130a7..f2dd706 100644 --- a/docs/build/html/_modules/sloyka/src/visual/graph_visualization.html +++ b/docs/build/html/_modules/sloyka/src/visual/graph_visualization.html @@ -4,11 +4,11 @@ - - sloyka.src.visual.graph_visualization - sloyka 0.1.0 documentation + + sloyka.src.visual.graph_visualization - sloyka 0.2.1 documentation - - + + @@ -88,19 +88,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -179,7 +166,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -206,7 +193,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation
    -

    About:

    +

    General:

    Receiving:

    @@ -280,87 +274,70 @@

    Source code for sloyka.src.visual.graph_visualization

    -import networkx as nx
-import folium
+import folium
 import random
-from folium.plugins import MarkerCluster
 
 
-
    
-[docs]
-def draw_graph_folium(graph_path, output_file=None):
+
    
+[docs]
+def visualize_graph(G, zoom: int):
     """
     Visualizes a graph from the given graph_path using Folium and MarkerCluster.
-
+    
     Args:
-        graph_path (str): The path to the graphml file.
         output_file (str, optional): The file to save the visualization to. Defaults to None.
-
+        
     Returns:
         folium.Map: The folium map object representing the visualized graph.
     """
-    G = nx.read_graphml(graph_path)
-
-    color_mapping = {
-        -1: "gray",
-        0: "blue",
-        1: "green",
-        2: "purple",
-        3: "cyan",
-        4: "brown",
-        5: "orange",
-        6: "pink",
-        7: "darkred",
-        8: "yellow",
-        9: "beige",
-        10: "darkgreen",
-        11: "lightgreen",
-        12: "darkblue",
-        13: "lightblue",
-        14: "darkpurple",
-        15: "cadetblue",
-        16: "red",
-        17: "lightgreen",
-        18: "lightblue",
-    }
-
-    target_clusters = range(1, 19)
 
     m = folium.Map(
-        location=[59.9343, 30.3351],
-        zoom_start=10,
-        tiles="cartodbdark_matter",
+        zoom_start=zoom,
+        tiles="cartodb_positron",
         control_scale=True,
     )
 
-    for c in target_clusters:
-        mc = MarkerCluster(name=f"{c} | cluster")
+    nodes_group = folium.FeatureGroup(name='Nodes')
+    neighbors_group = folium.FeatureGroup(name='Neighbors')
+    lines_group = folium.FeatureGroup(name='Lines')
 
-        for node, data in G.nodes(data=True):
-            if "Lat" in data and "Lon" in data:
-                main_node_location = [data["Lat"], data["Lon"]]
-                for n in G.neighbors(node):
-                    if "Cluster" in G.nodes[n] and G.nodes[n]["Cluster"] == c:
-                        neighbor_data = G.nodes[n]
-                        neighbor_location = [
-                            main_node_location[1] + random.uniform(-0.0008, 0.0008),
-                            main_node_location[0] + random.uniform(-0.0008, 0.0008),
-                        ]
-                        folium.CircleMarker(
-                            location=neighbor_location,
-                            radius=10,
-                            color=color_mapping[G.nodes[n]["Cluster"]],
-                            fill=True,
-                            fill_color=color_mapping[G.nodes[n]["Cluster"]],
-                            popup=neighbor_data,
-                            name=f'cluster_{G.nodes[n]["Cluster"]}',
-                        ).add_to(mc)
-        mc.add_to(m)
+    for node, data in G.nodes(data=True):
+        if "Lat" in data and "Lon" in data:
+            main_node_location = [data["Lon"], data["Lat"]]
+            folium.Marker(
+                location=main_node_location,
+                popup=node,
+                icon=folium.DivIcon(
+                    icon_size=(60,20),
+                    icon_anchor=(0,0),
+                    html='<div style="font-size: 6pt; color: blue">%s</div>' % node,
+                )
+            ).add_to(nodes_group)
+            
+            for n in G.neighbors(node):
+                neighbor_location = [
+                    main_node_location[0] + random.uniform(-0.0008, 0.0008),
+                    main_node_location[1] + random.uniform(-0.0008, 0.0008),
+                ]
+                folium.Marker(
+                    location=neighbor_location,
+                    popup=n,
+                    icon=folium.DivIcon(
+                        icon_size=(150,50),
+                        icon_anchor=(0,0),
+                        html=f'<div style="font-size: 10pt;color: darkred">{n}</div>',
+                    )
+                ).add_to(neighbors_group)
+                
+                folium.PolyLine([main_node_location, neighbor_location], color="purple", weight=1, opacity=1).add_to(lines_group)
 
-    folium.LayerControl().add_to(m)
-    if not output_file is None:
-        m.save(output_file)
+   
+    m.add_child(nodes_group)
+    m.add_child(neighbors_group)
+    m.add_child(lines_group)
 
+    folium.LayerControl().add_to(m)
+    
     return m
    @@ -394,9 +371,9 @@

    Source code for sloyka.src.visual.graph_visualization

    +
    - + \ No newline at end of file diff --git a/docs/build/html/_sources/about/introduction.rst.txt b/docs/build/html/_sources/about/introduction.rst.txt index a31cce5..95c22a9 100644 --- a/docs/build/html/_sources/about/introduction.rst.txt +++ b/docs/build/html/_sources/about/introduction.rst.txt @@ -14,7 +14,7 @@ or to visualize already existing nodes and links and their further interpretatio SLOYKA also provides methods for modeling social risks regarding the emotional evaluation of mentioned places. Main features --------- +-------------- * Social media parsing: getting posts, comments and replys * City services and places extraction * Emotion and text classifiers categorizing diff --git a/docs/build/html/_sources/about/pipeline.rst.txt b/docs/build/html/_sources/about/pipeline.rst.txt index 0b6ee8a..c19fc24 100644 --- a/docs/build/html/_sources/about/pipeline.rst.txt +++ b/docs/build/html/_sources/about/pipeline.rst.txt @@ -1,5 +1,5 @@ Main pipeline -============ +=================== By selecting a limited urbanized area and a list of online communities in a social network, it is possible to run this dataset across all major library functions. However, in some cases, @@ -17,8 +17,7 @@ text data mentioning urban sites, otherwise the steps are very important - :ref: * Data tagging: Characterization of messages and urban objects, which can be carried out in any order: :ref:`emotion_classifier` :ref:`text_classifier` :ref:`city_services` :ref:`topic_modeler` -* Data modelling: Section consists of further synthesis of the obtained data, risk assessment and forecasting. -Each of the methods in this group requires certain labeling columns: :ref:`sem_graph` :ref:`regional_activity` +* Data modelling: Section consists of further synthesis of the obtained data, risk assessment and forecasting. Each of the methods in this group requires certain labeling columns: :ref:`sem_graph` :ref:`regional_activity` * Data visualization: The last step is applied to the already generated semantic graph - :ref:`graph_visualization` diff --git a/docs/build/html/_sources/modules/GeoDataGetter.rst.txt b/docs/build/html/_sources/modules/GeoDataGetter.rst.txt index 359b53a..e007103 100644 --- a/docs/build/html/_sources/modules/GeoDataGetter.rst.txt +++ b/docs/build/html/_sources/modules/GeoDataGetter.rst.txt @@ -4,6 +4,6 @@ GeoDataGetter ========================== This class is used to retrieve geospatial data from OpenStreetMap (OSM) based on given OSM ID and tags. -.. autoclass:: sloyka.src.utils.data_getter.GeoDataGetter +.. autoclass:: sloyka.src.utils.data_getter.geo_data_getter.GeoDataGetter :members: :undoc-members: \ No newline at end of file diff --git a/docs/build/html/_sources/modules/Geocoder_special.rst.txt b/docs/build/html/_sources/modules/Geocoder_special.rst.txt index e2390e1..f8254b7 100644 --- a/docs/build/html/_sources/modules/Geocoder_special.rst.txt +++ b/docs/build/html/_sources/modules/Geocoder_special.rst.txt @@ -1,4 +1,5 @@ .. _Geocoder_special: + Geocoder ================== .. autoclass:: sloyka.src.geocoder.geocoder.Geocoder @@ -6,4 +7,4 @@ Geocoder :undoc-members: :no-members: run -Back to all :ref:`geocoder` \ No newline at end of file +Back to all :ref:`geocoder` diff --git a/docs/build/html/_sources/modules/OtherGeoObjects.rst.txt b/docs/build/html/_sources/modules/OtherGeoObjects.rst.txt index 332483c..061ae50 100644 --- a/docs/build/html/_sources/modules/OtherGeoObjects.rst.txt +++ b/docs/build/html/_sources/modules/OtherGeoObjects.rst.txt @@ -4,7 +4,7 @@ OtherGeoObjects ================== .. currentmodule:: sloyka.src.geocoder -.. autoclass:: city_objects_extractor.OtherGeoObjects +.. autoclass:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects :members: :undoc-members: diff --git a/docs/build/html/_sources/modules/Streets.rst.txt b/docs/build/html/_sources/modules/Streets.rst.txt index 24453b1..f04cb31 100644 --- a/docs/build/html/_sources/modules/Streets.rst.txt +++ b/docs/build/html/_sources/modules/Streets.rst.txt @@ -3,6 +3,7 @@ Streets ========================== A class for working with street data. -.. autoclass:: sloyka.src.utils.data_getter.Streets + +.. autoclass:: sloyka.src.utils.data_getter.street_getter.Streets :members: - :undoc-members: \ No newline at end of file + :undoc-members: diff --git a/docs/build/html/_sources/modules/VKParser.rst.txt b/docs/build/html/_sources/modules/VKParser.rst.txt index 2e20215..4020c27 100644 --- a/docs/build/html/_sources/modules/VKParser.rst.txt +++ b/docs/build/html/_sources/modules/VKParser.rst.txt @@ -2,6 +2,6 @@ VKparser ========================== -.. autoclass:: sloyka.src.utils.data_getter.VKParser +.. autoclass:: sloyka.src.utils.data_getter.vk_data_getter.VKParser :members: :undoc-members: \ No newline at end of file diff --git a/docs/build/html/_sources/modules/city_services_extract.rst.txt b/docs/build/html/_sources/modules/city_services_extract.rst.txt index 6e1be51..38388fd 100644 --- a/docs/build/html/_sources/modules/city_services_extract.rst.txt +++ b/docs/build/html/_sources/modules/city_services_extract.rst.txt @@ -3,9 +3,10 @@ Services extraction ========================== The City_services class is designed to extract city service names from text using a string comparison algorithm, taking into account - the changing service endings in the text. Using the flair library, the City_services.run() method in messages extracts named entities - from the Sentence object as a list, as well as the most probable service type, and stores them in new columns of the original DataFrame(). +the changing service endings in the text. Using the flair library, the City_services.run() method in messages extracts named entities +from the Sentence object as a list, as well as the most probable service type, and stores them in new columns of the original DataFrame(). + .. automodule:: sloyka.src.utils.data_processing.city_services_extract - :members: - :undoc-members: + :members: + :undoc-members: \ No newline at end of file diff --git a/docs/build/html/_sources/modules/geocoder.rst.txt b/docs/build/html/_sources/modules/geocoder.rst.txt index b5a6f00..4ef23d8 100644 --- a/docs/build/html/_sources/modules/geocoder.rst.txt +++ b/docs/build/html/_sources/modules/geocoder.rst.txt @@ -1,14 +1,14 @@ .. _geocoder: ================== + Geocoding ================== -To perform classification with generalized linear models, see -:ref:`Geocoder_special`. +To perform classification with generalized linear models, see :ref:`Geocoder_special`. Geocoder ------------------- .. autoclass:: sloyka.src.geocoder.geocoder.Geocoder - :members: run + :members: run OtherGeoObjects --------------------- diff --git a/docs/build/html/_sources/modules/visualize_graph.rst.txt b/docs/build/html/_sources/modules/visualize_graph.rst.txt index 4db45d1..f5e1255 100644 --- a/docs/build/html/_sources/modules/visualize_graph.rst.txt +++ b/docs/build/html/_sources/modules/visualize_graph.rst.txt @@ -6,4 +6,4 @@ The function results in an interactive map, which will display graph nodes group Each cluster will have its own color and name. Node markers will have a random offset to avoid overlapping. .. automodule:: sloyka.src.visual.graph_visualization - :members: draw_graph_folium \ No newline at end of file + :members: visualize_graph \ No newline at end of file diff --git a/docs/build/html/_static/documentation_options.js b/docs/build/html/_static/documentation_options.js index 13d90ff..add8e0c 100644 --- a/docs/build/html/_static/documentation_options.js +++ b/docs/build/html/_static/documentation_options.js @@ -1,5 +1,5 @@ const DOCUMENTATION_OPTIONS = { - VERSION: '0.1.0', + VERSION: '0.2.1', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/docs/build/html/_static/scripts/furo.js b/docs/build/html/_static/scripts/furo.js index 0267c7e..0abb2af 100644 --- a/docs/build/html/_static/scripts/furo.js +++ b/docs/build/html/_static/scripts/furo.js @@ -1,3 +1,3 @@ /*! 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false,\n nestedClass: \"active\",\n\n // Offset & reflow\n offset: 0,\n reflow: false,\n\n // Event support\n events: true,\n };\n\n //\n // Methods\n //\n\n /**\n * Merge two or more objects together.\n * @param {Object} objects The objects to merge together\n * @returns {Object} Merged values of defaults and options\n */\n var extend = function () {\n var merged = {};\n Array.prototype.forEach.call(arguments, function (obj) {\n for (var key in obj) {\n if (!obj.hasOwnProperty(key)) return;\n merged[key] = obj[key];\n }\n });\n return merged;\n };\n\n /**\n * Emit a custom event\n * @param {String} type The event type\n * @param {Node} elem The element to attach the event to\n * @param {Object} detail Any details to pass along with the event\n */\n var emitEvent = function (type, elem, detail) {\n // Make sure events are enabled\n if (!detail.settings.events) return;\n\n // Create a new event\n var event = new CustomEvent(type, {\n bubbles: true,\n cancelable: true,\n detail: detail,\n });\n\n // Dispatch the event\n elem.dispatchEvent(event);\n };\n\n /**\n * Get an element's distance from the top of the Document.\n * @param {Node} elem The element\n * @return {Number} Distance from the top in pixels\n */\n var getOffsetTop = function (elem) {\n var location = 0;\n if (elem.offsetParent) {\n while (elem) {\n location += elem.offsetTop;\n elem = elem.offsetParent;\n }\n }\n return location >= 0 ? location : 0;\n };\n\n /**\n * Sort content from first to last in the DOM\n * @param {Array} contents The content areas\n */\n var sortContents = function (contents) {\n if (contents) {\n contents.sort(function (item1, item2) {\n var offset1 = getOffsetTop(item1.content);\n var offset2 = getOffsetTop(item2.content);\n if (offset1 < offset2) return -1;\n return 1;\n });\n }\n };\n\n /**\n * Get the offset to use for calculating position\n * @param {Object} settings The settings for this instantiation\n * @return {Float} The number of pixels to offset the 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detail,\n });\n\n // Dispatch the event\n elem.dispatchEvent(event);\n };\n\n /**\n * Get an element's distance from the top of the Document.\n * @param {Node} elem The element\n * @return {Number} Distance from the top in pixels\n */\n var getOffsetTop = function (elem) {\n var location = 0;\n if (elem.offsetParent) {\n while (elem) {\n location += elem.offsetTop;\n elem = elem.offsetParent;\n }\n }\n return location >= 0 ? location : 0;\n };\n\n /**\n * Sort content from first to last in the DOM\n * @param {Array} contents The content areas\n */\n var sortContents = function (contents) {\n if (contents) {\n contents.sort(function (item1, item2) {\n var offset1 = getOffsetTop(item1.content);\n var offset2 = getOffsetTop(item2.content);\n if (offset1 < offset2) return -1;\n return 1;\n });\n }\n };\n\n /**\n * Get the offset to use for calculating position\n * @param {Object} settings The settings for this instantiation\n * @return {Float} The number of pixels to offset the calculations\n */\n var getOffset = function (settings) {\n // if the offset is a function run it\n if (typeof settings.offset === \"function\") {\n return parseFloat(settings.offset());\n }\n\n // Otherwise, return it as-is\n return parseFloat(settings.offset);\n };\n\n /**\n * Get the document element's height\n * @private\n * @returns {Number}\n */\n var getDocumentHeight = function () {\n return Math.max(\n document.body.scrollHeight,\n document.documentElement.scrollHeight,\n document.body.offsetHeight,\n document.documentElement.offsetHeight,\n document.body.clientHeight,\n document.documentElement.clientHeight,\n );\n };\n\n /**\n * Determine if an element is in view\n * @param {Node} elem The element\n * @param {Object} settings The settings for this instantiation\n * @param {Boolean} bottom If true, check if element is above bottom of viewport instead\n * @return {Boolean} Returns true if element is in the viewport\n */\n var isInView = function (elem, settings, bottom) {\n 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function (nav, settings) {\n // If nesting isn't activated, bail\n if (!settings.nested) return;\n\n // Get the parent navigation\n var li = nav.parentNode.closest(\"li\");\n if (!li) return;\n\n // Add the active class\n li.classList.add(settings.nestedClass);\n\n // Apply recursively to any parent navigation elements\n activateNested(li, settings);\n };\n\n /**\n * Activate a nav and content area\n * @param {Object} items The nav item and content to activate\n * @param {Object} settings The settings for this instantiation\n */\n var activate = function (items, settings) {\n // Make sure there are items to activate\n if (!items) return;\n\n // Get the parent list item\n var li = items.nav.closest(\"li\");\n if (!li) return;\n\n // Add the active class to the nav and content\n li.classList.add(settings.navClass);\n items.content.classList.add(settings.contentClass);\n\n // Activate any parent navs in a nested navigation\n activateNested(li, settings);\n\n // Emit a custom event\n emitEvent(\"gumshoeActivate\", li, {\n link: items.nav,\n content: items.content,\n settings: settings,\n });\n };\n\n /**\n * Create the Constructor object\n * @param {String} selector The selector to use for navigation items\n * @param {Object} options User options and settings\n */\n var Constructor = function (selector, options) {\n //\n // Variables\n //\n\n var publicAPIs = {};\n var navItems, contents, current, timeout, settings;\n\n //\n // Methods\n //\n\n /**\n * Set variables from DOM elements\n */\n publicAPIs.setup = function () {\n // Get all nav items\n navItems = document.querySelectorAll(selector);\n\n // Create contents array\n contents = [];\n\n // Loop through each item, get it's matching content, and push to the array\n Array.prototype.forEach.call(navItems, function (item) {\n // Get the content for the nav item\n var content = document.getElementById(\n decodeURIComponent(item.hash.substr(1)),\n );\n if (!content) return;\n\n // Push to the contents array\n 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window.cancelAnimationFrame(timeout);\n }\n\n // Setup debounce callback\n timeout = window.requestAnimationFrame(publicAPIs.detect);\n };\n\n /**\n * Update content sorting on resize\n * Debounced for performance\n */\n var resizeHandler = function (event) {\n // If there's a timer, cancel it\n if (timeout) {\n window.cancelAnimationFrame(timeout);\n }\n\n // Setup debounce callback\n timeout = window.requestAnimationFrame(function () {\n sortContents(contents);\n publicAPIs.detect();\n });\n };\n\n /**\n * Destroy the current instantiation\n */\n publicAPIs.destroy = function () {\n // Undo DOM changes\n if (current) {\n deactivate(current, settings);\n }\n\n // Remove event listeners\n window.removeEventListener(\"scroll\", scrollHandler, false);\n if (settings.reflow) {\n window.removeEventListener(\"resize\", resizeHandler, false);\n }\n\n // Reset variables\n contents = null;\n navItems = null;\n current = null;\n timeout = null;\n settings = null;\n };\n\n /**\n * Initialize the current instantiation\n */\n var init = function () {\n // Merge user options into defaults\n settings = extend(defaults, options || {});\n\n // Setup variables based on the current DOM\n publicAPIs.setup();\n\n // Find the currently active content\n publicAPIs.detect();\n\n // Setup event listeners\n window.addEventListener(\"scroll\", scrollHandler, false);\n if (settings.reflow) {\n window.addEventListener(\"resize\", resizeHandler, false);\n }\n };\n\n //\n // Initialize and return the public APIs\n //\n\n init();\n return publicAPIs;\n };\n\n //\n // Return the Constructor\n //\n\n return Constructor;\n },\n);\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tvar cachedModule = __webpack_module_cache__[moduleId];\n\tif (cachedModule !== undefined) {\n\t\treturn cachedModule.exports;\n\t}\n\t// Create a new module (and put it into the cache)\n\tvar module = 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Resetting to auto.`);\n mode = \"auto\";\n }\n\n document.body.dataset.theme = mode;\n localStorage.setItem(\"theme\", mode);\n console.log(`Changed to ${mode} mode.`);\n}\n\nfunction cycleThemeOnce() {\n const currentTheme = localStorage.getItem(\"theme\") || \"auto\";\n const prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\").matches;\n\n if (prefersDark) {\n // Auto (dark) -> Light -> Dark\n if (currentTheme === \"auto\") {\n setTheme(\"light\");\n } else if (currentTheme == \"light\") {\n setTheme(\"dark\");\n } else {\n setTheme(\"auto\");\n }\n } else {\n // Auto (light) -> Dark -> Light\n if (currentTheme === \"auto\") {\n setTheme(\"dark\");\n } else if (currentTheme == \"dark\") {\n setTheme(\"light\");\n } else {\n setTheme(\"auto\");\n }\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n// Setup\n////////////////////////////////////////////////////////////////////////////////\nfunction setupScrollHandler() {\n // Taken 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Remove the inheritance of text transform in Firefox.\n */\n\nbutton,\nselect { /* 1 */\n text-transform: none;\n}\n\n/**\n * Correct the inability to style clickable types in iOS and Safari.\n */\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n -webkit-appearance: button;\n}\n\n/**\n * Remove the inner border and padding in Firefox.\n */\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n border-style: none;\n padding: 0;\n}\n\n/**\n * Restore the focus styles unset by the previous rule.\n */\n\nbutton:-moz-focusring,\n[type=\"button\"]:-moz-focusring,\n[type=\"reset\"]:-moz-focusring,\n[type=\"submit\"]:-moz-focusring {\n outline: 1px dotted ButtonText;\n}\n\n/**\n * Correct the padding in Firefox.\n */\n\nfieldset {\n padding: 0.35em 0.75em 0.625em;\n}\n\n/**\n * 1. Correct the text wrapping in Edge and IE.\n * 2. Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n * `fieldset` elements in all browsers.\n */\n\nlegend {\n box-sizing: border-box; /* 1 */\n color: inherit; /* 2 */\n display: table; /* 1 */\n max-width: 100%; /* 1 */\n padding: 0; /* 3 */\n white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n box-sizing: border-box; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n -webkit-appearance: textfield; /* 1 */\n outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n -webkit-appearance: button; /* 1 */\n font: inherit; /* 2 */\n}\n\n/* Interactive\n ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n display: list-item;\n}\n\n/* Misc\n ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n display: none;\n}\n","// This file contains styles for managing print media.\n\n////////////////////////////////////////////////////////////////////////////////\n// Hide elements not relevant to print media.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n // Hide icon container.\n .content-icon-container\n display: none !important\n\n // Hide showing header links if hovering over when printing.\n .headerlink\n display: none !important\n\n // Hide mobile header.\n .mobile-header\n display: none !important\n\n // Hide navigation links.\n .related-pages\n display: none !important\n\n////////////////////////////////////////////////////////////////////////////////\n// Tweaks related to decolorization.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n // Apply a border around code which no longer have a color background.\n .highlight\n border: 0.1pt solid var(--color-foreground-border)\n\n////////////////////////////////////////////////////////////////////////////////\n// Avoid page break in some relevant cases.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n ul, ol, dl, a, table, pre, blockquote\n page-break-inside: avoid\n\n h1, h2, h3, h4, h5, h6, img, figure, caption\n page-break-inside: avoid\n page-break-after: avoid\n\n ul, ol, dl\n page-break-before: avoid\n",".visually-hidden\n position: absolute !important\n width: 1px !important\n height: 1px !important\n padding: 0 !important\n margin: -1px !important\n overflow: hidden !important\n clip: rect(0,0,0,0) !important\n white-space: nowrap !important\n border: 0 !important\n color: var(--color-foreground-primary)\n background: var(--color-background-primary)\n\n:-moz-focusring\n outline: auto\n","// This file serves as the \"skeleton\" of the theming logic.\n//\n// This contains the bulk of the logic for handling dark mode, color scheme\n// toggling and the handling of color-scheme-specific hiding of elements.\n\nbody\n @include fonts\n @include spacing\n @include icons\n @include admonitions\n @include default-admonition(#651fff, \"abstract\")\n @include default-topic(#14B8A6, \"pencil\")\n\n @include colors\n\n.only-light\n display: block !important\nhtml body .only-dark\n display: none !important\n\n// Ignore dark-mode hints if print media.\n@media not print\n // Enable dark-mode, if requested.\n body[data-theme=\"dark\"]\n @include colors-dark\n\n html & .only-light\n display: none !important\n .only-dark\n display: block !important\n\n // Enable dark mode, unless explicitly told to avoid.\n @media (prefers-color-scheme: dark)\n body:not([data-theme=\"light\"])\n @include colors-dark\n\n html & .only-light\n display: none !important\n .only-dark\n display: block !important\n\n//\n// Theme toggle presentation\n//\nbody[data-theme=\"auto\"]\n .theme-toggle svg.theme-icon-when-auto-light\n display: block\n\n @media (prefers-color-scheme: dark)\n .theme-toggle svg.theme-icon-when-auto-dark\n display: block\n .theme-toggle svg.theme-icon-when-auto-light\n display: none\n\nbody[data-theme=\"dark\"]\n .theme-toggle svg.theme-icon-when-dark\n display: block\n\nbody[data-theme=\"light\"]\n .theme-toggle svg.theme-icon-when-light\n display: block\n","// Fonts used by this theme.\n//\n// There are basically two things here -- using the system font stack and\n// defining sizes for various elements in %ages. We could have also used `em`\n// but %age is easier to reason about for me.\n\n@mixin fonts {\n // These are adapted from https://systemfontstack.com/\n --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n sans-serif, Apple Color Emoji, Segoe UI Emoji;\n --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n Liberation Mono, Lucida Console, monospace;\n --font-stack--headings: var(--font-stack);\n\n --font-size--normal: 100%;\n --font-size--small: 87.5%;\n --font-size--small--2: 81.25%;\n --font-size--small--3: 75%;\n --font-size--small--4: 62.5%;\n\n // Sidebar\n --sidebar-caption-font-size: var(--font-size--small--2);\n --sidebar-item-font-size: var(--font-size--small);\n --sidebar-search-input-font-size: var(--font-size--small);\n\n // Table of Contents\n --toc-font-size: var(--font-size--small--3);\n --toc-font-size--mobile: var(--font-size--normal);\n --toc-title-font-size: var(--font-size--small--4);\n\n // Admonitions\n //\n // These aren't defined in terms of %ages, since nesting these is permitted.\n --admonition-font-size: 0.8125rem;\n --admonition-title-font-size: 0.8125rem;\n\n // Code\n --code-font-size: var(--font-size--small--2);\n\n // API\n --api-font-size: var(--font-size--small);\n}\n","// Spacing for various elements on the page\n//\n// If the user wants to tweak things in a certain way, they are permitted to.\n// They also have to deal with the consequences though!\n\n@mixin spacing {\n // Header!\n --header-height: calc(\n var(--sidebar-item-line-height) + 4 * #{var(--sidebar-item-spacing-vertical)}\n );\n --header-padding: 0.5rem;\n\n // Sidebar\n --sidebar-tree-space-above: 1.5rem;\n --sidebar-caption-space-above: 1rem;\n\n --sidebar-item-line-height: 1rem;\n --sidebar-item-spacing-vertical: 0.5rem;\n --sidebar-item-spacing-horizontal: 1rem;\n --sidebar-item-height: calc(\n var(--sidebar-item-line-height) + 2 *#{var(--sidebar-item-spacing-vertical)}\n );\n\n --sidebar-expander-width: var(--sidebar-item-height); // be square\n\n --sidebar-search-space-above: 0.5rem;\n --sidebar-search-input-spacing-vertical: 0.5rem;\n --sidebar-search-input-spacing-horizontal: 0.5rem;\n --sidebar-search-input-height: 1rem;\n --sidebar-search-icon-size: var(--sidebar-search-input-height);\n\n // Table of Contents\n --toc-title-padding: 0.25rem 0;\n --toc-spacing-vertical: 1.5rem;\n --toc-spacing-horizontal: 1.5rem;\n --toc-item-spacing-vertical: 0.4rem;\n --toc-item-spacing-horizontal: 1rem;\n}\n","// Expose theme icons as CSS variables.\n\n$icons: (\n // Adapted from tabler-icons\n // url: https://tablericons.com/\n \"search\":\n url('data:image/svg+xml;charset=utf-8,'),\n // Factored out from mkdocs-material on 24-Aug-2020.\n // url: https://squidfunk.github.io/mkdocs-material/reference/admonitions/\n \"pencil\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"abstract\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"info\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"flame\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"question\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"warning\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"failure\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"spark\":\n url('data:image/svg+xml;charset=utf-8,')\n);\n\n@mixin icons {\n @each $name, $glyph in $icons {\n --icon-#{$name}: #{$glyph};\n }\n}\n","// Admonitions\n\n// Structure of these is:\n// admonition-class: color \"icon-name\";\n//\n// The colors are translated into CSS variables below. The icons are\n// used directly in the main declarations to set the `mask-image` in\n// the title.\n\n// prettier-ignore\n$admonitions: (\n // Each of these has an reST directives for it.\n \"caution\": #ff9100 \"spark\",\n \"warning\": #ff9100 \"warning\",\n \"danger\": #ff5252 \"spark\",\n \"attention\": #ff5252 \"warning\",\n \"error\": #ff5252 \"failure\",\n \"hint\": #00c852 \"question\",\n \"tip\": #00c852 \"info\",\n \"important\": #00bfa5 \"flame\",\n \"note\": #00b0ff \"pencil\",\n \"seealso\": #448aff \"info\",\n \"admonition-todo\": #808080 \"pencil\"\n);\n\n@mixin default-admonition($color, $icon-name) {\n --color-admonition-title: #{$color};\n --color-admonition-title-background: #{rgba($color, 0.2)};\n\n --icon-admonition-default: var(--icon-#{$icon-name});\n}\n\n@mixin default-topic($color, $icon-name) {\n --color-topic-title: #{$color};\n --color-topic-title-background: #{rgba($color, 0.2)};\n\n --icon-topic-default: var(--icon-#{$icon-name});\n}\n\n@mixin admonitions {\n @each $name, $values in $admonitions {\n --color-admonition-title--#{$name}: #{nth($values, 1)};\n --color-admonition-title-background--#{$name}: #{rgba(\n nth($values, 1),\n 0.2\n )};\n }\n}\n","// Colors used throughout this theme.\n//\n// The aim is to give the user more control. Thus, instead of hard-coding colors\n// in various parts of the stylesheet, the approach taken is to define all\n// colors as CSS variables and reusing them in all the places.\n//\n// `colors-dark` depends on `colors` being included at a lower specificity.\n\n@mixin colors {\n --color-problematic: #b30000;\n\n // Base Colors\n --color-foreground-primary: black; // for main text and headings\n --color-foreground-secondary: #5a5c63; // for secondary text\n --color-foreground-muted: #6b6f76; // for muted text\n --color-foreground-border: #878787; // for content borders\n\n --color-background-primary: white; // for content\n --color-background-secondary: #f8f9fb; // for navigation + ToC\n --color-background-hover: #efeff4ff; // for navigation-item hover\n --color-background-hover--transparent: #efeff400;\n --color-background-border: #eeebee; // for UI borders\n --color-background-item: #ccc; // for \"background\" items (eg: copybutton)\n\n // Announcements\n --color-announcement-background: #000000dd;\n --color-announcement-text: #eeebee;\n\n // Brand colors\n --color-brand-primary: #0a4bff;\n --color-brand-content: #2757dd;\n --color-brand-visited: #872ee0;\n\n // API documentation\n --color-api-background: var(--color-background-hover--transparent);\n --color-api-background-hover: var(--color-background-hover);\n --color-api-overall: var(--color-foreground-secondary);\n --color-api-name: var(--color-problematic);\n --color-api-pre-name: var(--color-problematic);\n --color-api-paren: var(--color-foreground-secondary);\n --color-api-keyword: var(--color-foreground-primary);\n\n --color-api-added: #21632c;\n --color-api-added-border: #38a84d;\n --color-api-changed: #046172;\n --color-api-changed-border: #06a1bc;\n --color-api-deprecated: #605706;\n --color-api-deprecated-border: #f0d90f;\n --color-api-removed: #b30000;\n --color-api-removed-border: #ff5c5c;\n\n --color-highlight-on-target: #ffffcc;\n\n // Inline code background\n --color-inline-code-background: var(--color-background-secondary);\n\n // Highlighted text (search)\n --color-highlighted-background: #ddeeff;\n --color-highlighted-text: var(--color-foreground-primary);\n\n // GUI Labels\n --color-guilabel-background: #ddeeff80;\n --color-guilabel-border: #bedaf580;\n --color-guilabel-text: var(--color-foreground-primary);\n\n // Admonitions!\n --color-admonition-background: transparent;\n\n //////////////////////////////////////////////////////////////////////////////\n // Everything below this should be one of:\n // - var(...)\n // - *-gradient(...)\n // - special literal values (eg: transparent, none)\n //////////////////////////////////////////////////////////////////////////////\n\n // Tables\n --color-table-header-background: var(--color-background-secondary);\n --color-table-border: var(--color-background-border);\n\n // Cards\n --color-card-border: var(--color-background-secondary);\n --color-card-background: transparent;\n --color-card-marginals-background: var(--color-background-secondary);\n\n // Header\n --color-header-background: var(--color-background-primary);\n --color-header-border: var(--color-background-border);\n --color-header-text: var(--color-foreground-primary);\n\n // Sidebar (left)\n --color-sidebar-background: var(--color-background-secondary);\n --color-sidebar-background-border: var(--color-background-border);\n\n --color-sidebar-brand-text: var(--color-foreground-primary);\n --color-sidebar-caption-text: var(--color-foreground-muted);\n --color-sidebar-link-text: var(--color-foreground-secondary);\n --color-sidebar-link-text--top-level: var(--color-brand-primary);\n\n --color-sidebar-item-background: var(--color-sidebar-background);\n --color-sidebar-item-background--current: var(\n --color-sidebar-item-background\n );\n --color-sidebar-item-background--hover: linear-gradient(\n 90deg,\n var(--color-background-hover--transparent) 0%,\n var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n var(--color-background-hover) 100%\n );\n\n --color-sidebar-item-expander-background: transparent;\n --color-sidebar-item-expander-background--hover: var(\n --color-background-hover\n );\n\n --color-sidebar-search-text: var(--color-foreground-primary);\n --color-sidebar-search-background: var(--color-background-secondary);\n --color-sidebar-search-background--focus: var(--color-background-primary);\n --color-sidebar-search-border: var(--color-background-border);\n --color-sidebar-search-icon: var(--color-foreground-muted);\n\n // Table of Contents (right)\n --color-toc-background: var(--color-background-primary);\n --color-toc-title-text: var(--color-foreground-muted);\n --color-toc-item-text: var(--color-foreground-secondary);\n --color-toc-item-text--hover: var(--color-foreground-primary);\n --color-toc-item-text--active: var(--color-brand-primary);\n\n // Actual page contents\n --color-content-foreground: var(--color-foreground-primary);\n --color-content-background: transparent;\n\n // Links\n --color-link: var(--color-brand-content);\n --color-link-underline: var(--color-background-border);\n --color-link--hover: var(--color-brand-content);\n --color-link-underline--hover: var(--color-foreground-border);\n\n --color-link--visited: var(--color-brand-visited);\n --color-link-underline--visited: var(--color-background-border);\n --color-link--visited--hover: var(--color-brand-visited);\n --color-link-underline--visited--hover: var(--color-foreground-border);\n}\n\n@mixin colors-dark {\n --color-problematic: #ee5151;\n\n // Base Colors\n --color-foreground-primary: #cfd0d0; // for main text and headings\n --color-foreground-secondary: #9ca0a5; // for secondary text\n --color-foreground-muted: #81868d; // for muted text\n --color-foreground-border: #666666; // for content borders\n\n --color-background-primary: #131416; // for content\n --color-background-secondary: #1a1c1e; // for navigation + ToC\n --color-background-hover: #1e2124ff; // for navigation-item hover\n --color-background-hover--transparent: #1e212400;\n --color-background-border: #303335; // for UI borders\n --color-background-item: #444; // for \"background\" items (eg: copybutton)\n\n // Announcements\n --color-announcement-background: #000000dd;\n --color-announcement-text: #eeebee;\n\n // Brand colors\n --color-brand-primary: #3d94ff;\n --color-brand-content: #5ca5ff;\n --color-brand-visited: #b27aeb;\n\n // Highlighted text (search)\n --color-highlighted-background: #083563;\n\n // GUI Labels\n --color-guilabel-background: #08356380;\n --color-guilabel-border: #13395f80;\n\n // API documentation\n --color-api-keyword: var(--color-foreground-secondary);\n --color-highlight-on-target: #333300;\n\n --color-api-added: #3db854;\n --color-api-added-border: #267334;\n --color-api-changed: #09b0ce;\n --color-api-changed-border: #056d80;\n --color-api-deprecated: #b1a10b;\n --color-api-deprecated-border: #6e6407;\n --color-api-removed: #ff7575;\n --color-api-removed-border: #b03b3b;\n\n // Admonitions\n --color-admonition-background: #18181a;\n\n // Cards\n --color-card-border: var(--color-background-secondary);\n --color-card-background: #18181a;\n --color-card-marginals-background: var(--color-background-hover);\n}\n","// This file contains the styling for making the content throughout the page,\n// including fonts, paragraphs, headings and spacing among these elements.\n\nbody\n font-family: var(--font-stack)\npre,\ncode,\nkbd,\nsamp\n font-family: var(--font-stack--monospace)\n\n// Make fonts look slightly nicer.\nbody\n -webkit-font-smoothing: antialiased\n -moz-osx-font-smoothing: grayscale\n\n// Line height from Bootstrap 4.1\narticle\n line-height: 1.5\n\n//\n// Headings\n//\nh1,\nh2,\nh3,\nh4,\nh5,\nh6\n line-height: 1.25\n font-family: var(--font-stack--headings)\n font-weight: bold\n\n border-radius: 0.5rem\n margin-top: 0.5rem\n margin-bottom: 0.5rem\n margin-left: -0.5rem\n margin-right: -0.5rem\n padding-left: 0.5rem\n padding-right: 0.5rem\n\n + p\n margin-top: 0\n\nh1\n font-size: 2.5em\n margin-top: 1.75rem\n margin-bottom: 1rem\nh2\n font-size: 2em\n margin-top: 1.75rem\nh3\n font-size: 1.5em\nh4\n font-size: 1.25em\nh5\n font-size: 1.125em\nh6\n font-size: 1em\n\nsmall\n opacity: 75%\n font-size: 80%\n\n// Paragraph\np\n margin-top: 0.5rem\n margin-bottom: 0.75rem\n\n// Horizontal rules\nhr.docutils\n height: 1px\n padding: 0\n margin: 2rem 0\n background-color: var(--color-background-border)\n border: 0\n\n.centered\n text-align: center\n\n// Links\na\n text-decoration: underline\n\n color: var(--color-link)\n text-decoration-color: var(--color-link-underline)\n\n &:visited\n color: var(--color-link--visited)\n text-decoration-color: var(--color-link-underline--visited)\n &:hover\n color: var(--color-link--visited--hover)\n text-decoration-color: var(--color-link-underline--visited--hover)\n\n &:hover\n color: var(--color-link--hover)\n text-decoration-color: var(--color-link-underline--hover)\n &.muted-link\n color: inherit\n &:hover\n color: var(--color-link--hover)\n text-decoration-color: var(--color-link-underline--hover)\n &:visited\n color: var(--color-link--visited--hover)\n text-decoration-color: var(--color-link-underline--visited--hover)\n","// This file contains the styles for the overall layouting of the documentation\n// skeleton, including the responsive changes as well as sidebar toggles.\n//\n// This is implemented as a mobile-last design, which isn't ideal, but it is\n// reasonably good-enough and I got pretty tired by the time I'd finished this\n// to move the rules around to fix this. Shouldn't take more than 3-4 hours,\n// if you know what you're doing tho.\n\n// HACK: Not all browsers account for the scrollbar width in media queries.\n// This results in horizontal scrollbars in the breakpoint where we go\n// from displaying everything to hiding the ToC. We accomodate for this by\n// adding a bit of padding to the TOC drawer, disabling the horizontal\n// scrollbar and allowing the scrollbars to cover the padding.\n// https://www.456bereastreet.com/archive/201301/media_query_width_and_vertical_scrollbars/\n\n// HACK: Always having the scrollbar visible, prevents certain browsers from\n// causing the content to stutter horizontally between taller-than-viewport and\n// not-taller-than-viewport pages.\n\n$icon-size: 1.25rem\n\nhtml\n overflow-x: hidden\n overflow-y: scroll\n scroll-behavior: smooth\n\n.sidebar-scroll, .toc-scroll, article[role=main] *\n // Override Firefox scrollbar style\n scrollbar-width: thin\n scrollbar-color: var(--color-foreground-border) transparent\n\n // Override Chrome scrollbar styles\n &::-webkit-scrollbar\n width: 0.25rem\n height: 0.25rem\n &::-webkit-scrollbar-thumb\n background-color: var(--color-foreground-border)\n border-radius: 0.125rem\n\n//\n// Overalls\n//\nhtml,\nbody\n height: 100%\n color: var(--color-foreground-primary)\n background: var(--color-background-primary)\n\n.skip-to-content\n position: fixed\n padding: 1rem\n border-radius: 1rem\n left: 0.25rem\n top: 0.25rem\n z-index: 40\n background: var(--color-background-primary)\n color: var(--color-foreground-primary)\n\n transform: translateY(-200%)\n transition: transform 300ms ease-in-out\n\n &:focus-within\n transform: translateY(0%)\n\narticle\n color: var(--color-content-foreground)\n background: var(--color-content-background)\n overflow-wrap: break-word\n\n.page\n display: flex\n // fill the viewport for pages with little content.\n min-height: 100%\n\n.mobile-header\n width: 100%\n height: var(--header-height)\n background-color: var(--color-header-background)\n color: var(--color-header-text)\n border-bottom: 1px solid var(--color-header-border)\n\n // Looks like sub-script/super-script have this, and we need this to\n // be \"on top\" of those.\n z-index: 10\n\n // We don't show the header on large screens.\n display: none\n\n // Add shadow when scrolled\n &.scrolled\n border-bottom: none\n box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2)\n\n .header-center\n a\n color: var(--color-header-text)\n text-decoration: none\n\n.main\n display: flex\n flex: 1\n\n// Sidebar (left) also covers the entire left portion of screen.\n.sidebar-drawer\n box-sizing: border-box\n\n border-right: 1px solid var(--color-sidebar-background-border)\n background: var(--color-sidebar-background)\n\n display: flex\n justify-content: flex-end\n // These next two lines took me two days to figure out.\n width: calc((100% - #{$full-width}) / 2 + #{$sidebar-width})\n min-width: $sidebar-width\n\n// Scroll-along sidebars\n.sidebar-container,\n.toc-drawer\n box-sizing: border-box\n width: $sidebar-width\n\n.toc-drawer\n background: var(--color-toc-background)\n // See HACK described on top of this document\n padding-right: 1rem\n\n.sidebar-sticky,\n.toc-sticky\n position: sticky\n top: 0\n height: min(100%, 100vh)\n height: 100vh\n\n display: flex\n flex-direction: column\n\n.sidebar-scroll,\n.toc-scroll\n flex-grow: 1\n flex-shrink: 1\n\n overflow: auto\n scroll-behavior: smooth\n\n// Central items.\n.content\n padding: 0 $content-padding\n width: $content-width\n\n display: flex\n flex-direction: column\n justify-content: space-between\n\n.icon\n display: inline-block\n height: 1rem\n width: 1rem\n svg\n width: 100%\n height: 100%\n\n//\n// Accommodate announcement banner\n//\n.announcement\n background-color: var(--color-announcement-background)\n color: var(--color-announcement-text)\n\n height: var(--header-height)\n display: flex\n align-items: center\n overflow-x: auto\n & + .page\n min-height: calc(100% - var(--header-height))\n\n.announcement-content\n box-sizing: border-box\n padding: 0.5rem\n min-width: 100%\n white-space: nowrap\n text-align: center\n\n a\n color: var(--color-announcement-text)\n text-decoration-color: var(--color-announcement-text)\n\n &:hover\n color: var(--color-announcement-text)\n text-decoration-color: var(--color-link--hover)\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for theme\n////////////////////////////////////////////////////////////////////////////////\n.no-js .theme-toggle-container // don't show theme toggle if there's no JS\n display: none\n\n.theme-toggle-container\n vertical-align: middle\n\n.theme-toggle\n cursor: pointer\n border: none\n padding: 0\n background: transparent\n\n.theme-toggle svg\n vertical-align: middle\n height: $icon-size\n width: $icon-size\n color: var(--color-foreground-primary)\n display: none\n\n.theme-toggle-header\n float: left\n padding: 1rem 0.5rem\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for elements\n////////////////////////////////////////////////////////////////////////////////\n.toc-overlay-icon, .nav-overlay-icon\n display: none\n cursor: pointer\n\n .icon\n color: var(--color-foreground-secondary)\n height: $icon-size\n width: $icon-size\n\n.toc-header-icon, .nav-overlay-icon\n // for when we set display: flex\n justify-content: center\n align-items: center\n\n.toc-content-icon\n height: 1.5rem\n width: 1.5rem\n\n.content-icon-container\n float: right\n display: flex\n margin-top: 1.5rem\n margin-left: 1rem\n margin-bottom: 1rem\n gap: 0.5rem\n\n .edit-this-page, .view-this-page\n svg\n color: inherit\n height: $icon-size\n width: $icon-size\n\n.sidebar-toggle\n position: absolute\n display: none\n// \n.sidebar-toggle[name=\"__toc\"]\n left: 20px\n.sidebar-toggle:checked\n left: 40px\n// \n\n.overlay\n position: fixed\n top: 0\n width: 0\n height: 0\n\n transition: width 0ms, height 0ms, opacity 250ms ease-out\n\n opacity: 0\n background-color: rgba(0, 0, 0, 0.54)\n.sidebar-overlay\n z-index: 20\n.toc-overlay\n z-index: 40\n\n// Keep things on top and smooth.\n.sidebar-drawer\n z-index: 30\n transition: left 250ms ease-in-out\n.toc-drawer\n z-index: 50\n transition: right 250ms ease-in-out\n\n// Show the Sidebar\n#__navigation:checked\n & ~ .sidebar-overlay\n width: 100%\n height: 100%\n opacity: 1\n & ~ .page\n .sidebar-drawer\n top: 0\n left: 0\n // Show the toc sidebar\n#__toc:checked\n & ~ .toc-overlay\n width: 100%\n height: 100%\n opacity: 1\n & ~ .page\n .toc-drawer\n top: 0\n right: 0\n\n////////////////////////////////////////////////////////////////////////////////\n// Back to top\n////////////////////////////////////////////////////////////////////////////////\n.back-to-top\n text-decoration: none\n\n display: none\n position: fixed\n left: 0\n top: 1rem\n padding: 0.5rem\n padding-right: 0.75rem\n border-radius: 1rem\n font-size: 0.8125rem\n\n background: var(--color-background-primary)\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), #6b728080 0px 0px 1px 0px\n\n z-index: 10\n\n margin-left: 50%\n transform: translateX(-50%)\n svg\n height: 1rem\n width: 1rem\n fill: currentColor\n display: inline-block\n\n span\n margin-left: 0.25rem\n\n .show-back-to-top &\n display: flex\n align-items: center\n\n////////////////////////////////////////////////////////////////////////////////\n// Responsive layouting\n////////////////////////////////////////////////////////////////////////////////\n// Make things a bit bigger on bigger screens.\n@media (min-width: $full-width + $sidebar-width)\n html\n font-size: 110%\n\n@media (max-width: $full-width)\n // Collapse \"toc\" into the icon.\n .toc-content-icon\n display: flex\n .toc-drawer\n position: fixed\n height: 100vh\n top: 0\n right: -$sidebar-width\n border-left: 1px solid var(--color-background-muted)\n .toc-tree\n border-left: none\n font-size: var(--toc-font-size--mobile)\n\n // Accomodate for a changed content width.\n .sidebar-drawer\n width: calc((100% - #{$full-width - $sidebar-width}) / 2 + #{$sidebar-width})\n\n@media (max-width: $full-width - $sidebar-width)\n // Collapse \"navigation\".\n .nav-overlay-icon\n display: flex\n .sidebar-drawer\n position: fixed\n height: 100vh\n width: $sidebar-width\n\n top: 0\n left: -$sidebar-width\n\n // Swap which icon is visible.\n .toc-header-icon\n display: flex\n .toc-content-icon, .theme-toggle-content\n display: none\n .theme-toggle-header\n display: block\n\n // Show the header.\n .mobile-header\n position: sticky\n top: 0\n display: flex\n justify-content: space-between\n align-items: center\n\n .header-left,\n .header-right\n display: flex\n height: var(--header-height)\n padding: 0 var(--header-padding)\n label\n height: 100%\n width: 100%\n user-select: none\n\n .nav-overlay-icon .icon,\n .theme-toggle svg\n height: $icon-size\n width: $icon-size\n\n // Add a scroll margin for the content\n :target\n scroll-margin-top: calc(var(--header-height) + 2.5rem)\n\n // Show back-to-top below the header\n .back-to-top\n top: calc(var(--header-height) + 0.5rem)\n\n // Center the page, and accommodate for the header.\n .page\n flex-direction: column\n justify-content: center\n .content\n margin-left: auto\n margin-right: auto\n\n@media (max-width: $content-width + 2* $content-padding)\n // Content should respect window limits.\n .content\n width: 100%\n overflow-x: auto\n\n@media (max-width: $content-width)\n .content\n padding: 0 $content-padding--small\n // Don't float sidebars to the right.\n article aside.sidebar\n float: none\n width: 100%\n margin: 1rem 0\n","// Overall Layout Variables\n//\n// Because CSS variables can't be used in media queries. The fact that this\n// makes the layout non-user-configurable is a good thing.\n$content-padding: 3em;\n$content-padding--small: 1em;\n$content-width: 46em;\n$sidebar-width: 15em;\n$full-width: $content-width + 2 * ($content-padding + $sidebar-width);\n","//\n// The design here is strongly inspired by mkdocs-material.\n.admonition, .topic\n margin: 1rem auto\n padding: 0 0.5rem 0.5rem 0.5rem\n\n background: var(--color-admonition-background)\n\n border-radius: 0.2rem\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n font-size: var(--admonition-font-size)\n\n overflow: hidden\n page-break-inside: avoid\n\n // First element should have no margin, since the title has it.\n > :nth-child(2)\n margin-top: 0\n\n // Last item should have no margin, since we'll control that w/ padding\n > :last-child\n margin-bottom: 0\n\n.admonition p.admonition-title,\np.topic-title\n position: relative\n margin: 0 -0.5rem 0.5rem\n padding-left: 2rem\n padding-right: .5rem\n padding-top: .4rem\n padding-bottom: .4rem\n\n font-weight: 500\n font-size: var(--admonition-title-font-size)\n line-height: 1.3\n\n // Our fancy icon\n &::before\n content: \"\"\n position: absolute\n left: 0.5rem\n width: 1rem\n height: 1rem\n\n// Default styles\np.admonition-title\n background-color: var(--color-admonition-title-background)\n &::before\n background-color: var(--color-admonition-title)\n mask-image: var(--icon-admonition-default)\n mask-repeat: no-repeat\n\np.topic-title\n background-color: var(--color-topic-title-background)\n &::before\n background-color: var(--color-topic-title)\n mask-image: var(--icon-topic-default)\n mask-repeat: no-repeat\n\n//\n// Variants\n//\n.admonition\n border-left: 0.2rem solid var(--color-admonition-title)\n\n @each $type, $value in $admonitions\n &.#{$type}\n border-left-color: var(--color-admonition-title--#{$type})\n > .admonition-title\n background-color: var(--color-admonition-title-background--#{$type})\n &::before\n background-color: var(--color-admonition-title--#{$type})\n mask-image: var(--icon-#{nth($value, 2)})\n\n.admonition-todo > .admonition-title\n text-transform: uppercase\n","// This file stylizes the API documentation (stuff generated by autodoc). It's\n// deeply nested due to how autodoc structures the HTML without enough classes\n// to select the relevant items.\n\n// API docs!\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple)\n // Tweak the spacing of all the things!\n dd\n margin-left: 2rem\n > :first-child\n margin-top: 0.125rem\n > :last-child\n margin-bottom: 0.75rem\n\n // This is used for the arguments\n .field-list\n margin-bottom: 0.75rem\n\n // \"Headings\" (like \"Parameters\" and \"Return\")\n > dt\n text-transform: uppercase\n font-size: var(--font-size--small)\n\n dd:empty\n margin-bottom: 0.5rem\n dd > ul\n margin-left: -1.2rem\n > li\n > p:nth-child(2)\n margin-top: 0\n // When the last-empty-paragraph follows a paragraph, it doesn't need\n // to augument the existing spacing.\n > p + p:last-child:empty\n margin-top: 0\n margin-bottom: 0\n\n // Colorize the elements\n > dt\n color: var(--color-api-overall)\n\n.sig:not(.sig-inline)\n font-weight: bold\n\n font-size: var(--api-font-size)\n font-family: var(--font-stack--monospace)\n\n margin-left: -0.25rem\n margin-right: -0.25rem\n padding-top: 0.25rem\n padding-bottom: 0.25rem\n padding-right: 0.5rem\n\n // These are intentionally em, to properly match the font size.\n padding-left: 3em\n text-indent: -2.5em\n\n border-radius: 0.25rem\n\n background: var(--color-api-background)\n transition: background 100ms ease-out\n\n &:hover\n background: var(--color-api-background-hover)\n\n // adjust the size of the [source] link on the right.\n a.reference\n .viewcode-link\n font-weight: normal\n width: 4.25rem\n\nem.property\n font-style: normal\n &:first-child\n color: var(--color-api-keyword)\n.sig-name\n color: var(--color-api-name)\n.sig-prename\n font-weight: normal\n color: var(--color-api-pre-name)\n.sig-paren\n color: var(--color-api-paren)\n.sig-param\n font-style: normal\n\ndiv.versionadded,\ndiv.versionchanged,\ndiv.deprecated,\ndiv.versionremoved\n border-left: 0.1875rem solid\n border-radius: 0.125rem\n\n padding-left: 0.75rem\n\n p\n margin-top: 0.125rem\n margin-bottom: 0.125rem\n\ndiv.versionadded\n border-color: var(--color-api-added-border)\n .versionmodified\n color: var(--color-api-added)\n\ndiv.versionchanged\n border-color: var(--color-api-changed-border)\n .versionmodified\n color: var(--color-api-changed)\n\ndiv.deprecated\n border-color: var(--color-api-deprecated-border)\n .versionmodified\n color: var(--color-api-deprecated)\n\ndiv.versionremoved\n border-color: var(--color-api-removed-border)\n .versionmodified\n color: var(--color-api-removed)\n\n// Align the [docs] and [source] to the right.\n.viewcode-link, .viewcode-back\n float: right\n text-align: right\n",".line-block\n margin-top: 0.5rem\n margin-bottom: 0.75rem\n .line-block\n margin-top: 0rem\n margin-bottom: 0rem\n padding-left: 1rem\n","// Captions\narticle p.caption,\ntable > caption,\n.code-block-caption\n font-size: var(--font-size--small)\n text-align: center\n\n// Caption above a TOCTree\n.toctree-wrapper.compound\n .caption, :not(.caption) > .caption-text\n font-size: var(--font-size--small)\n text-transform: uppercase\n\n text-align: initial\n margin-bottom: 0\n\n > ul\n margin-top: 0\n margin-bottom: 0\n","// Inline code\ncode.literal, .sig-inline\n background: var(--color-inline-code-background)\n border-radius: 0.2em\n // Make the font smaller, and use padding to recover.\n font-size: var(--font-size--small--2)\n padding: 0.1em 0.2em\n\n pre.literal-block &\n font-size: inherit\n padding: 0\n\n p &\n border: 1px solid var(--color-background-border)\n\n.sig-inline\n font-family: var(--font-stack--monospace)\n\n// Code and Literal Blocks\n$code-spacing-vertical: 0.625rem\n$code-spacing-horizontal: 0.875rem\n\n// Wraps every literal block + line numbers.\ndiv[class*=\" highlight-\"],\ndiv[class^=\"highlight-\"]\n margin: 1em 0\n display: flex\n\n .table-wrapper\n margin: 0\n padding: 0\n\npre\n margin: 0\n padding: 0\n overflow: auto\n\n // Needed to have more specificity than pygments' \"pre\" selector. :(\n article[role=\"main\"] .highlight &\n line-height: 1.5\n\n &.literal-block,\n .highlight &\n font-size: var(--code-font-size)\n padding: $code-spacing-vertical $code-spacing-horizontal\n\n // Make it look like all the other blocks.\n &.literal-block\n margin-top: 1rem\n margin-bottom: 1rem\n\n border-radius: 0.2rem\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n\n// All code is always contained in this.\n.highlight\n width: 100%\n border-radius: 0.2rem\n\n // Make line numbers and prompts un-selectable.\n .gp, span.linenos\n user-select: none\n pointer-events: none\n\n // Expand the line-highlighting.\n .hll\n display: block\n margin-left: -$code-spacing-horizontal\n margin-right: -$code-spacing-horizontal\n padding-left: $code-spacing-horizontal\n padding-right: $code-spacing-horizontal\n\n/* Make code block captions be nicely integrated */\n.code-block-caption\n display: flex\n padding: $code-spacing-vertical $code-spacing-horizontal\n\n border-radius: 0.25rem\n border-bottom-left-radius: 0\n border-bottom-right-radius: 0\n font-weight: 300\n border-bottom: 1px solid\n\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n border-color: var(--color-background-border)\n\n + div[class]\n margin-top: 0\n pre\n border-top-left-radius: 0\n border-top-right-radius: 0\n\n// When `html_codeblock_linenos_style` is table.\n.highlighttable\n width: 100%\n display: block\n tbody\n display: block\n\n tr\n display: flex\n\n // Line numbers\n td.linenos\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n padding: $code-spacing-vertical $code-spacing-horizontal\n padding-right: 0\n border-top-left-radius: 0.2rem\n border-bottom-left-radius: 0.2rem\n\n .linenodiv\n padding-right: $code-spacing-horizontal\n font-size: var(--code-font-size)\n box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n\n // Actual code\n td.code\n padding: 0\n display: block\n flex: 1\n overflow: hidden\n\n .highlight\n border-top-left-radius: 0\n border-bottom-left-radius: 0\n\n// When `html_codeblock_linenos_style` is inline.\n.highlight\n span.linenos\n display: inline-block\n padding-left: 0\n padding-right: $code-spacing-horizontal\n margin-right: $code-spacing-horizontal\n box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n","// Inline Footnote Reference\n.footnote-reference\n font-size: var(--font-size--small--4)\n vertical-align: super\n\n// Definition list, listing the content of each note.\n// docutils <= 0.17\ndl.footnote.brackets\n font-size: var(--font-size--small)\n color: var(--color-foreground-secondary)\n\n display: grid\n grid-template-columns: max-content auto\n dt\n margin: 0\n > .fn-backref\n margin-left: 0.25rem\n\n &:after\n content: \":\"\n\n .brackets\n &:before\n content: \"[\"\n &:after\n content: \"]\"\n\n dd\n margin: 0\n padding: 0 1rem\n\n// docutils >= 0.18\naside.footnote\n font-size: var(--font-size--small)\n color: var(--color-foreground-secondary)\n\naside.footnote > span,\ndiv.citation > span\n float: left\n font-weight: 500\n padding-right: 0.25rem\n\naside.footnote > *:not(span),\ndiv.citation > p\n margin-left: 2rem\n","//\n// Figures\n//\nimg\n box-sizing: border-box\n max-width: 100%\n height: auto\n\narticle\n figure, .figure\n border-radius: 0.2rem\n\n margin: 0\n :last-child\n margin-bottom: 0\n\n .align-left\n float: left\n clear: left\n margin: 0 1rem 1rem\n\n .align-right\n float: right\n clear: right\n margin: 0 1rem 1rem\n\n .align-default,\n .align-center\n display: block\n text-align: center\n margin-left: auto\n margin-right: auto\n\n // WELL, table needs to be stylised like a table.\n table.align-default\n display: table\n text-align: initial\n",".genindex-jumpbox, .domainindex-jumpbox\n border-top: 1px solid var(--color-background-border)\n border-bottom: 1px solid var(--color-background-border)\n padding: 0.25rem\n\n.genindex-section, .domainindex-section\n h2\n margin-top: 0.75rem\n margin-bottom: 0.5rem\n ul\n margin-top: 0\n margin-bottom: 0\n","ul,\nol\n padding-left: 1.2rem\n\n // Space lists out like paragraphs\n margin-top: 1rem\n margin-bottom: 1rem\n // reduce margins within li.\n li\n > p:first-child\n margin-top: 0.25rem\n margin-bottom: 0.25rem\n\n > p:last-child\n margin-top: 0.25rem\n\n > ul,\n > ol\n margin-top: 0.5rem\n margin-bottom: 0.5rem\n\nol\n &.arabic\n list-style: decimal\n &.loweralpha\n list-style: lower-alpha\n &.upperalpha\n list-style: upper-alpha\n &.lowerroman\n list-style: lower-roman\n &.upperroman\n list-style: upper-roman\n\n// Don't space lists out when they're \"simple\" or in a `.. toctree::`\n.simple,\n.toctree-wrapper\n li\n > ul,\n > ol\n margin-top: 0\n margin-bottom: 0\n\n// Definition Lists\n.field-list,\n.option-list,\ndl:not([class]),\ndl.simple,\ndl.footnote,\ndl.glossary\n dt\n font-weight: 500\n margin-top: 0.25rem\n + dt\n margin-top: 0\n\n .classifier::before\n content: \":\"\n margin-left: 0.2rem\n margin-right: 0.2rem\n\n dd\n > p:first-child,\n ul\n margin-top: 0.125rem\n\n ul\n margin-bottom: 0.125rem\n",".math-wrapper\n width: 100%\n overflow-x: auto\n\ndiv.math\n position: relative\n text-align: center\n\n .headerlink,\n &:focus .headerlink\n display: none\n\n &:hover .headerlink\n display: inline-block\n\n span.eqno\n position: absolute\n right: 0.5rem\n top: 50%\n transform: translate(0, -50%)\n z-index: 1\n","// Abbreviations\nabbr[title]\n cursor: help\n\n// \"Problematic\" content, as identified by Sphinx\n.problematic\n color: var(--color-problematic)\n\n// Keyboard / Mouse \"instructions\"\nkbd:not(.compound)\n margin: 0 0.2rem\n padding: 0 0.2rem\n border-radius: 0.2rem\n border: 1px solid var(--color-foreground-border)\n color: var(--color-foreground-primary)\n vertical-align: text-bottom\n\n font-size: var(--font-size--small--3)\n display: inline-block\n\n box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary)\n\n background-color: var(--color-background-secondary)\n\n// Blockquote\nblockquote\n border-left: 4px solid var(--color-background-border)\n background: var(--color-background-secondary)\n\n margin-left: 0\n margin-right: 0\n padding: 0.5rem 1rem\n\n .attribution\n font-weight: 600\n text-align: right\n\n &.pull-quote,\n &.highlights\n font-size: 1.25em\n\n &.epigraph,\n &.pull-quote\n border-left-width: 0\n border-radius: 0.5rem\n\n &.highlights\n border-left-width: 0\n background: transparent\n\n// Center align embedded-in-text images\np .reference img\n vertical-align: middle\n","p.rubric\n line-height: 1.25\n font-weight: bold\n font-size: 1.125em\n\n // For Numpy-style documentation that's got rubrics within it.\n // https://github.com/pradyunsg/furo/discussions/505\n dd &\n line-height: inherit\n font-weight: inherit\n\n font-size: var(--font-size--small)\n text-transform: uppercase\n","article .sidebar\n float: right\n clear: right\n width: 30%\n\n margin-left: 1rem\n margin-right: 0\n\n border-radius: 0.2rem\n background-color: var(--color-background-secondary)\n border: var(--color-background-border) 1px solid\n\n > *\n padding-left: 1rem\n padding-right: 1rem\n\n > ul, > ol // lists need additional padding, because bullets.\n padding-left: 2.2rem\n\n .sidebar-title\n margin: 0\n padding: 0.5rem 1rem\n border-bottom: var(--color-background-border) 1px solid\n\n font-weight: 500\n\n// TODO: subtitle\n// TODO: dedicated variables?\n",".table-wrapper\n width: 100%\n overflow-x: auto\n margin-top: 1rem\n margin-bottom: 0.5rem\n padding: 0.2rem 0.2rem 0.75rem\n\ntable.docutils\n border-radius: 0.2rem\n border-spacing: 0\n border-collapse: collapse\n\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n th\n background: var(--color-table-header-background)\n\n td,\n th\n // Space things out properly\n padding: 0 0.25rem\n\n // Get the borders looking just-right.\n border-left: 1px solid var(--color-table-border)\n border-right: 1px solid var(--color-table-border)\n border-bottom: 1px solid var(--color-table-border)\n\n p\n margin: 0.25rem\n\n &:first-child\n border-left: none\n &:last-child\n border-right: none\n\n // MyST-parser tables set these classes for control of column alignment\n &.text-left\n text-align: left\n &.text-right\n text-align: right\n &.text-center\n text-align: center\n",":target\n scroll-margin-top: 2.5rem\n\n@media (max-width: $full-width - $sidebar-width)\n :target\n scroll-margin-top: calc(2.5rem + var(--header-height))\n\n // When a heading is selected\n section > span:target\n scroll-margin-top: calc(2.8rem + var(--header-height))\n\n// Permalinks\n.headerlink\n font-weight: 100\n user-select: none\n\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\ndl dt,\np.caption,\nfigcaption p,\ntable > caption,\n.code-block-caption\n > .headerlink\n margin-left: 0.5rem\n visibility: hidden\n &:hover > .headerlink\n visibility: visible\n\n // Don't change to link-like, if someone adds the contents directive.\n > .toc-backref\n color: inherit\n text-decoration-line: none\n\n// Figure and table captions are special.\nfigure:hover > figcaption > p > .headerlink,\ntable:hover > caption > .headerlink\n visibility: visible\n\n:target >, // Regular section[id] style anchors\nspan:target ~ // Non-regular span[id] style \"extra\" anchors\n h1,\n h2,\n h3,\n h4,\n h5,\n h6\n &:nth-of-type(1)\n background-color: var(--color-highlight-on-target)\n // .headerlink\n // visibility: visible\n code.literal\n background-color: transparent\n\ntable:target > caption,\nfigure:target\n background-color: var(--color-highlight-on-target)\n\n// Inline page contents\n.this-will-duplicate-information-and-it-is-still-useful-here li :target\n background-color: var(--color-highlight-on-target)\n\n// Code block permalinks\n.literal-block-wrapper:target .code-block-caption\n background-color: var(--color-highlight-on-target)\n\n// When a definition list item is selected\n//\n// There isn't really an alternative to !important here, due to the\n// high-specificity of API documentation's selector.\ndt:target\n background-color: var(--color-highlight-on-target) !important\n\n// When a footnote reference is selected\n.footnote > dt:target + dd,\n.footnote-reference:target\n background-color: var(--color-highlight-on-target)\n",".guilabel\n background-color: var(--color-guilabel-background)\n border: 1px solid var(--color-guilabel-border)\n color: var(--color-guilabel-text)\n\n padding: 0 0.3em\n border-radius: 0.5em\n font-size: 0.9em\n","// This file contains the styles used for stylizing the footer that's shown\n// below the content.\n\nfooter\n font-size: var(--font-size--small)\n display: flex\n flex-direction: column\n\n margin-top: 2rem\n\n// Bottom of page information\n.bottom-of-page\n display: flex\n align-items: center\n justify-content: space-between\n\n margin-top: 1rem\n padding-top: 1rem\n padding-bottom: 1rem\n\n color: var(--color-foreground-secondary)\n border-top: 1px solid var(--color-background-border)\n\n line-height: 1.5\n\n @media (max-width: $content-width)\n text-align: center\n flex-direction: column-reverse\n gap: 0.25rem\n\n .left-details\n font-size: var(--font-size--small)\n\n .right-details\n display: flex\n flex-direction: column\n gap: 0.25rem\n text-align: right\n\n .icons\n display: flex\n justify-content: flex-end\n gap: 0.25rem\n font-size: 1rem\n\n a\n text-decoration: none\n\n svg,\n img\n font-size: 1.125rem\n height: 1em\n width: 1em\n\n// Next/Prev page information\n.related-pages\n a\n display: flex\n align-items: center\n\n text-decoration: none\n &:hover .page-info .title\n text-decoration: underline\n color: var(--color-link)\n text-decoration-color: var(--color-link-underline)\n\n svg.furo-related-icon,\n svg.furo-related-icon > use\n flex-shrink: 0\n\n color: var(--color-foreground-border)\n\n width: 0.75rem\n height: 0.75rem\n margin: 0 0.5rem\n\n &.next-page\n max-width: 50%\n\n float: right\n clear: right\n text-align: right\n\n &.prev-page\n max-width: 50%\n\n float: left\n clear: left\n\n svg\n transform: rotate(180deg)\n\n.page-info\n display: flex\n flex-direction: column\n overflow-wrap: anywhere\n\n .next-page &\n align-items: flex-end\n\n .context\n display: flex\n align-items: center\n\n padding-bottom: 0.1rem\n\n color: var(--color-foreground-muted)\n font-size: var(--font-size--small)\n text-decoration: none\n","// This file contains the styles for the contents of the left sidebar, which\n// contains the navigation tree, logo, search etc.\n\n////////////////////////////////////////////////////////////////////////////////\n// Brand on top of the scrollable tree.\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-brand\n display: flex\n flex-direction: column\n flex-shrink: 0\n\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n text-decoration: none\n\n.sidebar-brand-text\n color: var(--color-sidebar-brand-text)\n overflow-wrap: break-word\n margin: var(--sidebar-item-spacing-vertical) 0\n font-size: 1.5rem\n\n.sidebar-logo-container\n margin: var(--sidebar-item-spacing-vertical) 0\n\n.sidebar-logo\n margin: 0 auto\n display: block\n max-width: 100%\n\n////////////////////////////////////////////////////////////////////////////////\n// Search\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-search-container\n display: flex\n align-items: center\n margin-top: var(--sidebar-search-space-above)\n\n position: relative\n\n background: var(--color-sidebar-search-background)\n &:hover,\n &:focus-within\n background: var(--color-sidebar-search-background--focus)\n\n &::before\n content: \"\"\n position: absolute\n left: var(--sidebar-item-spacing-horizontal)\n width: var(--sidebar-search-icon-size)\n height: var(--sidebar-search-icon-size)\n\n background-color: var(--color-sidebar-search-icon)\n mask-image: var(--icon-search)\n\n.sidebar-search\n box-sizing: border-box\n\n border: none\n border-top: 1px solid var(--color-sidebar-search-border)\n border-bottom: 1px solid var(--color-sidebar-search-border)\n\n padding-top: var(--sidebar-search-input-spacing-vertical)\n padding-bottom: var(--sidebar-search-input-spacing-vertical)\n padding-right: var(--sidebar-search-input-spacing-horizontal)\n padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size))\n\n width: 100%\n\n color: var(--color-sidebar-search-foreground)\n background: transparent\n z-index: 10\n\n &:focus\n outline: none\n\n &::placeholder\n font-size: var(--sidebar-search-input-font-size)\n\n//\n// Hide Search Matches link\n//\n#searchbox .highlight-link\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal) 0\n margin: 0\n text-align: center\n\n a\n color: var(--color-sidebar-search-icon)\n font-size: var(--font-size--small--2)\n\n////////////////////////////////////////////////////////////////////////////////\n// Structure/Skeleton of the navigation tree (left)\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-tree\n font-size: var(--sidebar-item-font-size)\n margin-top: var(--sidebar-tree-space-above)\n margin-bottom: var(--sidebar-item-spacing-vertical)\n\n ul\n padding: 0\n margin-top: 0\n margin-bottom: 0\n\n display: flex\n flex-direction: column\n\n list-style: none\n\n li\n position: relative\n margin: 0\n\n > ul\n margin-left: var(--sidebar-item-spacing-horizontal)\n\n .icon\n color: var(--color-sidebar-link-text)\n\n .reference\n box-sizing: border-box\n color: var(--color-sidebar-link-text)\n\n // Fill the parent.\n display: inline-block\n line-height: var(--sidebar-item-line-height)\n text-decoration: none\n\n // Don't allow long words to cause wrapping.\n overflow-wrap: anywhere\n\n height: 100%\n width: 100%\n\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n &:hover\n color: var(--color-sidebar-link-text)\n background: var(--color-sidebar-item-background--hover)\n\n // Add a nice little \"external-link\" arrow here.\n &.external::after\n content: url('data:image/svg+xml,')\n margin: 0 0.25rem\n vertical-align: middle\n color: var(--color-sidebar-link-text)\n\n // Make the current page reference bold.\n .current-page > .reference\n font-weight: bold\n\n label\n position: absolute\n top: 0\n right: 0\n height: var(--sidebar-item-height)\n width: var(--sidebar-expander-width)\n\n cursor: pointer\n user-select: none\n\n display: flex\n justify-content: center\n align-items: center\n\n .caption, :not(.caption) > .caption-text\n font-size: var(--sidebar-caption-font-size)\n color: var(--color-sidebar-caption-text)\n\n font-weight: bold\n text-transform: uppercase\n\n margin: var(--sidebar-caption-space-above) 0 0 0\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n // If it has children, add a bit more padding to wrap the content to avoid\n // overlapping with the
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation
    - + \ No newline at end of file diff --git a/docs/build/html/about/introduction.html b/docs/build/html/about/introduction.html index 9d8127a..065b5b4 100644 --- a/docs/build/html/about/introduction.html +++ b/docs/build/html/about/introduction.html @@ -5,11 +5,11 @@ - - Introduction - sloyka 0.1.0 documentation + + Introduction - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -386,9 +373,9 @@

    Main features +

    - + \ No newline at end of file diff --git a/docs/build/html/about/pipeline.html b/docs/build/html/about/pipeline.html index a710660..f81a562 100644 --- a/docs/build/html/about/pipeline.html +++ b/docs/build/html/about/pipeline.html @@ -5,11 +5,11 @@ - - Main pipeline - sloyka 0.1.0 documentation + + Main pipeline - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -306,13 +293,10 @@

    Main pipelineData getter and Geocoding )

    +text data mentioning urban sites, otherwise the steps are very important - Data getter and geocoder )

    -

    Each of the methods in this group requires certain labeling columns: Semantic graph Regional activity

    -
      +

    • Data modelling: Section consists of further synthesis of the obtained data, risk assessment and forecasting. Each of the methods in this group requires certain labeling columns: Semantic graph Regional activity

    • Data visualization: The last step is applied to the already generated semantic graph - Graph visualization

    You can get more info about each step in!

    @@ -366,9 +350,9 @@

    Main pipeline +

    - + \ No newline at end of file diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index e956563..d94e106 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -4,10 +4,10 @@ - Index - sloyka 0.1.0 documentation + Index - sloyka 0.2.1 documentation - - + + @@ -87,19 +87,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -178,7 +165,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -205,7 +192,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -288,11 +275,15 @@

    Index

    -
    A | B | C | D | E | G | I | M | O | P | R | S | T | U
    +
    A | B | C | D | E | F | G | I | M | O | P | R | S | T | U | V

    A

    +
  • StreetExtractor (class in sloyka.src.geocoder.street_extractor), [1] +
    • +
  • Streets (class in sloyka.src.utils.data_getter.street_getter)
    • @@ -554,6 +601,10 @@

    T

    +
    @@ -569,6 +620,20 @@

    U

    +
    +

    V

    + + + +
    +
    +
    @@ -600,9 +665,9 @@

    U

    -
    +
    - + \ No newline at end of file diff --git a/docs/build/html/index.html b/docs/build/html/index.html index bdad101..2a692b6 100644 --- a/docs/build/html/index.html +++ b/docs/build/html/index.html @@ -5,11 +5,11 @@ - - sloyka 0.1.0 documentation + + sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -366,9 +353,9 @@

    Indices and tables +

    - + \ No newline at end of file diff --git a/docs/build/html/modules/GeoDataGetter.html b/docs/build/html/modules/GeoDataGetter.html index baee5c5..2e427d3 100644 --- a/docs/build/html/modules/GeoDataGetter.html +++ b/docs/build/html/modules/GeoDataGetter.html @@ -5,11 +5,11 @@ - - GeoDataGetter - sloyka 0.1.0 documentation + + GeoDataGetter - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -192,7 +179,7 @@
    -
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -287,7 +274,7 @@
    -
    -
    -
    +
    - + \ No newline at end of file diff --git a/docs/build/html/modules/Geocoder_special.html b/docs/build/html/modules/Geocoder_special.html index 9f359fd..2bee8c5 100644 --- a/docs/build/html/modules/Geocoder_special.html +++ b/docs/build/html/modules/Geocoder_special.html @@ -5,11 +5,11 @@ - - Geocoder - sloyka 0.1.0 documentation + + Geocoder - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -297,12 +284,13 @@

    Geocoder

    -class sloyka.src.geocoder.geocoder.Geocoder(df, model_path: str = 'Geor111y/flair-ner-addresses-extractor', device: str = 'cpu', osm_id: int = None, city_tags: dict = {'place': ['state']})[source]
    +class sloyka.src.geocoder.geocoder.Geocoder(df, model_path: str = 'Geor111y/flair-ner-addresses-extractor', device: str = 'cpu', osm_id: int | None = None, city_tags: dict = {'place': ['state']}, stemmer_lang: str = 'russian', text_column_name: str = 'text')[source]

    This class provides a functionality of simple geocoder

    assign_street()[source]
    -
    +

    Simple workaround

    +
    @@ -310,11 +298,6 @@

    Function simply creates gdf from the recognised geocoded geometries.

    -
    -
    -dir_path = '/Users/test/Documents/code/sloyka/sloyka/src/geocoder'
    -
    -
    get_df_areas(osm_id, tags)[source]
    @@ -356,11 +339,6 @@ names dictionary (df).

    -
    -
    -global_crs: int = 4326
    -
    -
    match_group_to_area(group_name, df_areas)[source]
    @@ -434,7 +412,7 @@
    -run(df: DataFrame = None, tags: dict | None = None, text_column: str = 'text', group_column: str | None = 'group_name', search_for_objects=False)[source]
    +run(df: DataFrame | None = None, tags: dict | None = None, group_column: str | None = 'group_name', search_for_objects=False)[source]

    Runs the data processing pipeline on the input DataFrame.

    Parameters:
    @@ -469,7 +447,7 @@
    -

    Back to all Geocoding

    +

    Back to all geocoder

    @@ -530,11 +508,9 @@
  • Geocoder
    • -
    +
    - + \ No newline at end of file diff --git a/docs/build/html/modules/OtherGeoObjects.html b/docs/build/html/modules/OtherGeoObjects.html index 30d6e7a..6d03f1e 100644 --- a/docs/build/html/modules/OtherGeoObjects.html +++ b/docs/build/html/modules/OtherGeoObjects.html @@ -5,11 +5,11 @@ - - OtherGeoObjects - sloyka 0.1.0 documentation + + OtherGeoObjects - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -295,34 +282,113 @@

    OtherGeoObjects

    +
    +
    +class sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects[source]
    +
    +
    +static calculate_centroid(geometry) → Point[source]
    +

    Calculates the centroid for polygons.

    +
    + +
    +
    +static combine_city_obj(df_obj) → DataFrame[source]
    +

    Combines the found named urban objects and urban objects whose names are in the form of numbers.

    +
    + +
    +
    +static expand_toponym(df_obj) → DataFrame[source]
    +

    Splits the list of found entities into different rows for further analysis.

    +
    + +
    +
    +static extract_geo_obj(text) → List[str][source]
    +

    The function extracts location entities from the text, using the Natasha library.

    +
    + +
    +
    +static find_geo_obj_tag(toponym, osm_combined_df) → str[source]
    +

    Finds the geo_obj_tag in the OSM array by the name of the city object.

    +
    + +
    +
    +static find_geometry(toponym, osm_combined_df) → Point[source]
    +

    Finds the coordinate in the OSM array by the name of the city object.

    +
    + +
    +
    +static find_num_city_obj(text) → List[str][source]
    +

    This function searches for urban objects in the text, +the names of which are represented as a number. For example, “school No. 6”.

    +
    +
    -static OtherGeoObjects.get_and_process_osm_data(osm_id: int, tags: dict) → DataFrame[source]
    +static get_and_process_osm_data(osm_id: int, tags: dict) → DataFrame[source]

    Retrieves and processes OSM data for different urban objects.

    +
    +
    +static get_unique_part_types(df)[source]
    +
    + +
    +
    +static restoration_of_normal_form(other_geo_obj, osm_combined_df, threshold=0.7) → List[str][source]
    +

    This function compares the extracted location entity with an OSM array +and returns a normalized form if the percentage of similarity is at least 70%.

    +
    + +
    +
    +static run(osm_id: int, df: DataFrame, text_column: str) → DataFrame[source]
    +

    Launches the module for extracting urban objects from texts that do not relate to streets.

    +
    +
    -static OtherGeoObjects.run_osm_dfs(osm_id: int) → DataFrame[source]
    +static run_osm_dfs(osm_id: int) → DataFrame[source]

    Collects dataframes with OSM spatial data, finds centroids and combines them into one.

    +
    +
    -
    -static OtherGeoObjects.calculate_centroid(geometry) → Point[source]
    +
    +static OtherGeoObjects.get_and_process_osm_data(osm_id: int, tags: dict) → DataFrame[source]
    +

    Retrieves and processes OSM data for different urban objects.

    +
    + +
    +
    +static OtherGeoObjects.run_osm_dfs(osm_id: int) → DataFrame[source]
    +

    Collects dataframes with OSM spatial data, finds centroids and combines them into one.

    +
    + +
    +
    +static OtherGeoObjects.calculate_centroid(geometry) → Point[source]

    Calculates the centroid for polygons.

    -
    -static OtherGeoObjects.extract_geo_obj(text) → List[str][source]
    +
    +static OtherGeoObjects.extract_geo_obj(text) → List[str][source]

    The function extracts location entities from the text, using the Natasha library.

    -
    -static OtherGeoObjects.restoration_of_normal_form(other_geo_obj, osm_combined_df, threshold=0.7) → List[str][source]
    -

    This function compares the extracted location entity with an OSM array and returns a normalized form if the percentage of similarity is at least 70%.

    +
    +static OtherGeoObjects.restoration_of_normal_form(other_geo_obj, osm_combined_df, threshold=0.7) → List[str][source]
    +

    This function compares the extracted location entity with an OSM array +and returns a normalized form if the percentage of similarity is at least 70%.

    @@ -382,11 +448,26 @@
    @@ -398,9 +479,9 @@
    -
    +
    - + \ No newline at end of file diff --git a/docs/build/html/modules/StreetExtractor.html b/docs/build/html/modules/StreetExtractor.html index 2b2c22a..af7c170 100644 --- a/docs/build/html/modules/StreetExtractor.html +++ b/docs/build/html/modules/StreetExtractor.html @@ -5,11 +5,11 @@ - - StreetExtractor - sloyka 0.1.0 documentation + + StreetExtractor - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -430,9 +417,9 @@
    -
    +
    - + \ No newline at end of file diff --git a/docs/build/html/modules/Streets.html b/docs/build/html/modules/Streets.html index 9b7e525..4bde4ae 100644 --- a/docs/build/html/modules/Streets.html +++ b/docs/build/html/modules/Streets.html @@ -5,11 +5,11 @@ - - Streets - sloyka 0.1.0 documentation + + Streets - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -192,7 +179,7 @@
    -
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -287,7 +274,7 @@ -     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -303,7 +290,7 @@ category using multiple models.

    -class sloyka.src.risks.emotion_classifier.EmotionRecognizer(model_name=Text.Bert_Large, device=None)[source]
    +class sloyka.src.risks.emotion_classifier.EmotionRecognizer(model_name=Text.Bert_Tiny, device='cpu')[source]

    This class is designed to categorise input texts into emotion categories.

    Attributes:

    @@ -417,9 +404,9 @@

    Example

    -
    + - + \ No newline at end of file diff --git a/docs/build/html/modules/event_dynamic_prediction.html b/docs/build/html/modules/event_dynamic_prediction.html index 95b1c25..1387f5a 100644 --- a/docs/build/html/modules/event_dynamic_prediction.html +++ b/docs/build/html/modules/event_dynamic_prediction.html @@ -5,11 +5,11 @@ - - Event detector - sloyka 0.1.0 documentation + + Event detector - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -393,9 +380,9 @@
    - + - + \ No newline at end of file diff --git a/docs/build/html/modules/geocoder.html b/docs/build/html/modules/geocoder.html index f27980b..6c7c2f1 100644 --- a/docs/build/html/modules/geocoder.html +++ b/docs/build/html/modules/geocoder.html @@ -5,11 +5,11 @@ - - Geocoding - sloyka 0.1.0 documentation + + Geocoding - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -293,19 +280,19 @@
    -
    -

    Geocoding

    -

    To perform classification with generalized linear models, see -Geocoder.

    +
    +
    +

    Geocoding

    +

    To perform classification with generalized linear models, see Geocoder.

    Geocoder

    -class sloyka.src.geocoder.geocoder.Geocoder(df, model_path: str = 'Geor111y/flair-ner-addresses-extractor', device: str = 'cpu', osm_id: int = None, city_tags: dict = {'place': ['state']})[source]
    +class sloyka.src.geocoder.geocoder.Geocoder(df, model_path: str = 'Geor111y/flair-ner-addresses-extractor', device: str = 'cpu', osm_id: int | None = None, city_tags: dict = {'place': ['state']}, stemmer_lang: str = 'russian', text_column_name: str = 'text')[source]

    This class provides a functionality of simple geocoder

    -run(df: DataFrame = None, tags: dict | None = None, text_column: str = 'text', group_column: str | None = 'group_name', search_for_objects=False)[source]
    +run(df: DataFrame | None = None, tags: dict | None = None, group_column: str | None = 'group_name', search_for_objects=False)[source]

    Runs the data processing pipeline on the input DataFrame.

    Parameters:
    @@ -453,9 +440,9 @@

    more:< - + - + \ No newline at end of file diff --git a/docs/build/html/modules/regional_activity.html b/docs/build/html/modules/regional_activity.html index 25a80b0..a2a1e1c 100644 --- a/docs/build/html/modules/regional_activity.html +++ b/docs/build/html/modules/regional_activity.html @@ -5,11 +5,11 @@ - - Regional activity - sloyka 0.1.0 documentation + + Regional activity - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@ - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -350,9 +337,9 @@
    - + - + \ No newline at end of file diff --git a/docs/build/html/modules/semantic_graph.html b/docs/build/html/modules/semantic_graph.html index d8382c5..cef9a05 100644 --- a/docs/build/html/modules/semantic_graph.html +++ b/docs/build/html/modules/semantic_graph.html @@ -5,11 +5,11 @@ - - Semantic graph - sloyka 0.1.0 documentation + + Semantic graph - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -472,9 +459,9 @@
    - + - + \ No newline at end of file diff --git a/docs/build/html/modules/text_classifier.html b/docs/build/html/modules/text_classifier.html index 1b80282..b1e9e08 100644 --- a/docs/build/html/modules/text_classifier.html +++ b/docs/build/html/modules/text_classifier.html @@ -5,11 +5,11 @@ - - Text Classifier - sloyka 0.1.0 documentation + + Text Classifier - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -416,9 +403,9 @@
    - + - + \ No newline at end of file diff --git a/docs/build/html/modules/topic_modeler.html b/docs/build/html/modules/topic_modeler.html index acad63c..9164883 100644 --- a/docs/build/html/modules/topic_modeler.html +++ b/docs/build/html/modules/topic_modeler.html @@ -5,11 +5,11 @@ - - Topic Modelling - sloyka 0.1.0 documentation + + Topic Modelling - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -356,9 +343,9 @@
    - + - + \ No newline at end of file diff --git a/docs/build/html/modules/visualize_graph.html b/docs/build/html/modules/visualize_graph.html index 649e3ef..4103e68 100644 --- a/docs/build/html/modules/visualize_graph.html +++ b/docs/build/html/modules/visualize_graph.html @@ -5,11 +5,11 @@ - - Graph visualization - sloyka 0.1.0 documentation + + Graph visualization - sloyka 0.2.1 documentation - - + + @@ -89,19 +89,6 @@     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -298,15 +285,12 @@

    The function results in an interactive map, which will display graph nodes grouped by clusters. Each cluster will have its own color and name. Node markers will have a random offset to avoid overlapping.

    -
    -sloyka.src.visual.graph_visualization.draw_graph_folium(graph_path, output_file=None)[source]
    +
    +sloyka.src.visual.graph_visualization.visualize_graph(G, zoom: int)[source]

    Visualizes a graph from the given graph_path using Folium and MarkerCluster.

    Parameters:
    -
      -

    • graph_path (str) – The path to the graphml file.

      • -

    • output_file (str, optional) – The file to save the visualization to. Defaults to None.

      • -
    +

    output_file (str, optional) – The file to save the visualization to. Defaults to None.

    Returns:

    The folium map object representing the visualized graph.

    @@ -374,7 +358,7 @@
    @@ -386,9 +370,9 @@
    -
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    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -205,7 +192,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -372,9 +359,9 @@

    Python Module Index

    - + - + \ No newline at end of file diff --git a/docs/build/html/search.html b/docs/build/html/search.html index 48982df..69c81d3 100644 --- a/docs/build/html/search.html +++ b/docs/build/html/search.html @@ -5,11 +5,11 @@ - + -Search - sloyka 0.1.0 documentation - - +Search - sloyka 0.2.1 documentation + + @@ -89,19 +89,6 @@     - - Auto light/dark mode - - - - - - - - - - Auto light/dark, in light mode - @@ -180,7 +167,7 @@
    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation
    @@ -207,7 +194,7 @@
    - sloyka 0.1.0 documentation + sloyka 0.2.1 documentation @@ -329,10 +316,10 @@
    - + - + diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js index d8b071a..0ea7dd5 100644 --- a/docs/build/html/searchindex.js +++ b/docs/build/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"Advanced geocoding": [[12, null], [15, null]], "Data getter": [[12, "data-getter"]], "Emotion classifier": [[13, "module-sloyka.src.risks.emotion_classifier"]], "Event detector": [[14, "module-sloyka.src.risks.event_detector"]], "Example": [[13, "example"]], "General:": [[4, null]], "GeoDataGetter": [[5, "geodatagetter"]], "Geocoder": [[6, "geocoder"], [15, "id1"]], "Geocoding": [[15, "geocoding"]], "Graph visualization": [[20, "graph-visualization"]], "Indices and tables": [[4, "indices-and-tables"]], "Installation": [[1, "installation"]], "Introduction": [[2, "introduction"]], "Main features": [[2, "main-features"]], "Main pipeline": [[3, "main-pipeline"]], "OtherGeoObjects": [[7, "othergeoobjects"], [15, "othergeoobjects"]], "Page Not Found": [[0, 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"OtherGeoObjects", "StreetExtractor", "Streets", "VKparser", "Services extraction", "Data getter", "Emotion classifier", "Event detector", "Geocoding", "Regional activity", "Semantic graph", "Text Classifier", "Topic Modelling", "Graph visualization"], "titleterms": {"": 4, "Not": 0, "activ": 16, "advanc": [12, 15], "classifi": [13, 18], "data": 12, "detector": 14, "document": 4, "emot": 13, "event": 14, "exampl": 13, "extract": 11, "featur": 2, "found": 0, "gener": 4, "geocod": [6, 12, 15], "geodatagett": 5, "getter": 12, "graph": [17, 20], "indic": 4, "instal": 1, "introduct": 2, "main": [2, 3], "model": 19, "more": [12, 15], "othergeoobject": [7, 15], "page": 0, "pipelin": 3, "region": 16, "semant": 17, "servic": 11, "sloyka": 4, "street": 9, "streetextractor": [8, 15], "tabl": 4, "text": 18, "topic": 19, "visual": 20, "vkparser": 10, "welcom": 4}}) \ No newline at end of file diff --git a/docs/source/about/introduction.rst b/docs/source/about/introduction.rst index a31cce5..95c22a9 100644 --- a/docs/source/about/introduction.rst +++ b/docs/source/about/introduction.rst @@ -14,7 +14,7 @@ or to visualize already existing nodes and links and their further interpretatio SLOYKA also provides methods for modeling social risks regarding the emotional evaluation of mentioned places. Main features --------- +-------------- * Social media parsing: getting posts, comments and replys * City services and places extraction * Emotion and text classifiers categorizing diff --git a/docs/source/about/pipeline.rst b/docs/source/about/pipeline.rst index 0b6ee8a..c19fc24 100644 --- a/docs/source/about/pipeline.rst +++ b/docs/source/about/pipeline.rst @@ -1,5 +1,5 @@ Main pipeline -============ +=================== By selecting a limited urbanized area and a list of online communities in a social network, it is possible to run this dataset across all major library functions. However, in some cases, @@ -17,8 +17,7 @@ text data mentioning urban sites, otherwise the steps are very important - :ref: * Data tagging: Characterization of messages and urban objects, which can be carried out in any order: :ref:`emotion_classifier` :ref:`text_classifier` :ref:`city_services` :ref:`topic_modeler` -* Data modelling: Section consists of further synthesis of the obtained data, risk assessment and forecasting. -Each of the methods in this group requires certain labeling columns: :ref:`sem_graph` :ref:`regional_activity` +* Data modelling: Section consists of further synthesis of the obtained data, risk assessment and forecasting. Each of the methods in this group requires certain labeling columns: :ref:`sem_graph` :ref:`regional_activity` * Data visualization: The last step is applied to the already generated semantic graph - :ref:`graph_visualization` diff --git a/docs/source/conf.py b/docs/source/conf.py index ffb95b8..7fba588 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -7,7 +7,10 @@ # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information import os import sys -sys.path.insert(0, os.path.abspath('./sloyka')) + +folder = os.getcwd().split("\\docs")[0] +sys.path.append(folder) + project = 'sloyka' copyright = '2024, itmo_idu' diff --git a/docs/source/modules/GeoDataGetter.rst b/docs/source/modules/GeoDataGetter.rst index 359b53a..e007103 100644 --- a/docs/source/modules/GeoDataGetter.rst +++ b/docs/source/modules/GeoDataGetter.rst @@ -4,6 +4,6 @@ GeoDataGetter ========================== This class is used to retrieve geospatial data from OpenStreetMap (OSM) based on given OSM ID and tags. -.. autoclass:: sloyka.src.utils.data_getter.GeoDataGetter +.. autoclass:: sloyka.src.utils.data_getter.geo_data_getter.GeoDataGetter :members: :undoc-members: \ No newline at end of file diff --git a/docs/source/modules/Geocoder_special.rst b/docs/source/modules/Geocoder_special.rst index e2390e1..f8254b7 100644 --- a/docs/source/modules/Geocoder_special.rst +++ b/docs/source/modules/Geocoder_special.rst @@ -1,4 +1,5 @@ .. _Geocoder_special: + Geocoder ================== .. autoclass:: sloyka.src.geocoder.geocoder.Geocoder @@ -6,4 +7,4 @@ Geocoder :undoc-members: :no-members: run -Back to all :ref:`geocoder` \ No newline at end of file +Back to all :ref:`geocoder` diff --git a/docs/source/modules/OtherGeoObjects.rst b/docs/source/modules/OtherGeoObjects.rst index 332483c..061ae50 100644 --- a/docs/source/modules/OtherGeoObjects.rst +++ b/docs/source/modules/OtherGeoObjects.rst @@ -4,7 +4,7 @@ OtherGeoObjects ================== .. currentmodule:: sloyka.src.geocoder -.. autoclass:: city_objects_extractor.OtherGeoObjects +.. autoclass:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects :members: :undoc-members: diff --git a/docs/source/modules/Streets.rst b/docs/source/modules/Streets.rst index 24453b1..f04cb31 100644 --- a/docs/source/modules/Streets.rst +++ b/docs/source/modules/Streets.rst @@ -3,6 +3,7 @@ Streets ========================== A class for working with street data. -.. autoclass:: sloyka.src.utils.data_getter.Streets + +.. autoclass:: sloyka.src.utils.data_getter.street_getter.Streets :members: - :undoc-members: \ No newline at end of file + :undoc-members: diff --git a/docs/source/modules/VKParser.rst b/docs/source/modules/VKParser.rst index 2e20215..4020c27 100644 --- a/docs/source/modules/VKParser.rst +++ b/docs/source/modules/VKParser.rst @@ -2,6 +2,6 @@ VKparser ========================== -.. autoclass:: sloyka.src.utils.data_getter.VKParser +.. autoclass:: sloyka.src.utils.data_getter.vk_data_getter.VKParser :members: :undoc-members: \ No newline at end of file diff --git a/docs/source/modules/city_services_extract.rst b/docs/source/modules/city_services_extract.rst index 6e1be51..38388fd 100644 --- a/docs/source/modules/city_services_extract.rst +++ b/docs/source/modules/city_services_extract.rst @@ -3,9 +3,10 @@ Services extraction ========================== The City_services class is designed to extract city service names from text using a string comparison algorithm, taking into account - the changing service endings in the text. Using the flair library, the City_services.run() method in messages extracts named entities - from the Sentence object as a list, as well as the most probable service type, and stores them in new columns of the original DataFrame(). +the changing service endings in the text. Using the flair library, the City_services.run() method in messages extracts named entities +from the Sentence object as a list, as well as the most probable service type, and stores them in new columns of the original DataFrame(). + .. automodule:: sloyka.src.utils.data_processing.city_services_extract - :members: - :undoc-members: + :members: + :undoc-members: \ No newline at end of file diff --git a/docs/source/modules/geocoder.rst b/docs/source/modules/geocoder.rst index b5a6f00..4ef23d8 100644 --- a/docs/source/modules/geocoder.rst +++ b/docs/source/modules/geocoder.rst @@ -1,14 +1,14 @@ .. _geocoder: ================== + Geocoding ================== -To perform classification with generalized linear models, see -:ref:`Geocoder_special`. +To perform classification with generalized linear models, see :ref:`Geocoder_special`. Geocoder ------------------- .. autoclass:: sloyka.src.geocoder.geocoder.Geocoder - :members: run + :members: run OtherGeoObjects --------------------- diff --git a/docs/source/modules/visualize_graph.rst b/docs/source/modules/visualize_graph.rst index 4db45d1..f5e1255 100644 --- a/docs/source/modules/visualize_graph.rst +++ b/docs/source/modules/visualize_graph.rst @@ -6,4 +6,4 @@ The function results in an interactive map, which will display graph nodes group Each cluster will have its own color and name. 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    Source code for sloyka.src.geocoder.city_objects_extractor

    -from typing import List
-import re
-import pandas as pd
-from shapely.geometry import Point, Polygon, MultiPolygon
-from loguru import logger
-import pymorphy2
-from sloyka.src.utils.constants import NUM_CITY_OBJ
-from sloyka.src.geocoder.objects_address_extractor_by_rules import AddressExtractorExtra
-from sloyka.src.utils.data_getter.geo_data_getter import GeoDataGetter
-from rapidfuzz import fuzz
-import numpy as np
-
-
-
    
-[docs]
-class OtherGeoObjects:
-
    
-[docs]
-    @staticmethod
-    def get_and_process_osm_data(osm_id: int, tags: dict) -> pd.DataFrame:
-        """
-        Retrieves and processes OSM data for different urban objects.
-        """
-        df = GeoDataGetter.get_osm_data(osm_id, tags)
-        df["geometry"] = df["geometry"].apply(OtherGeoObjects.calculate_centroid)
-        df.rename(columns={df.columns[-1]: "geo_obj_tag"}, inplace=True)
-        return df
    
-
-
-
    
-[docs]
-    @staticmethod
-    def run_osm_dfs(osm_id: int) -> pd.DataFrame:
-        """
-        Collects dataframes with OSM spatial data, finds centroids and combines them into one.
-        """
-        tags_list = [
-            {"leisure": ["park", "garden", "recreation_ground"]},
-            {"amenity": ["hospital", "clinic", "school", "kindergarten"]},
-            {"landuse": ["cemetery"]},
-            {"natural": ["beach", "water"]},
-            {"railway": ["station", "subway"]},
-            {"tourism": ["attraction", "museum"]},
-            {"historic": ["monument", "memorial"]},
-            {"place": ["square"]},
-        ]
-        
-        osm_dfs = list()
-        for tags in tags_list:
-            logger.debug(f'getting {osm_id, tags}')
-            try:
-                tmp_df = OtherGeoObjects.get_and_process_osm_data(osm_id, tags)
-                osm_dfs.append(tmp_df)
-            except RuntimeError:
-                logger.warning(f'Runtime error during fetching {osm_id, tags}')
-                continue
-        if osm_dfs:
-            osm_combined_df = pd.concat(osm_dfs, axis=0)
-            logger.debug(f'got {osm_id, tags}')
-            logger.debug(f'{osm_combined_df.shape}')
-            return osm_combined_df
-        else:
-            logger.warning(f'No data were gathered about city objects in {osm_id}')
-            return pd.DataFrame()
    
-
-
-
    
-[docs]
-    @staticmethod
-    def calculate_centroid(geometry) -> Point:
-        """
-        Calculates the centroid for polygons.
-        """
-        if isinstance(geometry, (Polygon, MultiPolygon)):
-            return geometry.centroid
-        elif isinstance(geometry, Point):
-            return geometry
-        else:
-            return None
    
-
-
-
    
-[docs]
-    @staticmethod
-    def extract_geo_obj(text) -> List[str]:
-        """
-        The function extracts location entities from the text, using the Natasha library.
-        """
-        if text is None:
-            return None
-        morph = pymorphy2.MorphAnalyzer()
-        extractor = AddressExtractorExtra(morph)
-
-        other_geo_obj = []
-
-        matches = extractor(text)
-        if not matches:
-            return other_geo_obj
-        try:
-            for match in matches:
-                if not match:
-                    continue
-                part = match.fact
-                if part.value and part.type:
-                    combined_phrase = f"{part.value} {part.type}"
-                    other_geo_obj.append(combined_phrase)
-                elif part.value:
-                    other_geo_obj.append(part.value)
-                elif part.type:
-                    other_geo_obj.append(part.type)
-                if not other_geo_obj:
-                    return other_geo_obj
-        except Exception as e:
-            # logger.warning(f"Error extracting geo objects: {e}")
-            return other_geo_obj
-        return other_geo_obj
    
-
-
-
    
-[docs]
-    @staticmethod
-    def restoration_of_normal_form(other_geo_obj, osm_combined_df, threshold=0.7) -> List[str]:
-        """
-        This function compares the extracted location entity with an OSM array
-        and returns a normalized form if the percentage of similarity is at least 70%.
-        """
-        osm_name_obj = osm_combined_df["name"].tolist()
-        similarity_matrix = np.zeros((len(other_geo_obj), len(osm_name_obj)))
-
-        def extract_numbers(s):
-            return re.findall(r"\d+", s)
-        
-        percents = 100
-
-        for i, word1 in enumerate(other_geo_obj):
-            numbers_from_extraction = extract_numbers(word1)
-            for j, word2 in enumerate(osm_name_obj):
-                numbers_from_OSM_name = extract_numbers(word2)
-                if numbers_from_extraction == numbers_from_OSM_name:
-                    similarity = fuzz.ratio(word1, word2) / percents
-                else:
-                    similarity = 0
-                similarity_matrix[i, j] = similarity
-
-        restoration_list = other_geo_obj.copy()
-        for i in range(len(other_geo_obj)):
-            max_index = np.argmax(similarity_matrix[i])
-            if similarity_matrix[i, max_index] > threshold:
-                restoration_list[i] = osm_name_obj[max_index]
-            else:
-                restoration_list[i] = ""
-
-        return restoration_list
    
-
-
-
    
-[docs]
-    @staticmethod
-    def find_num_city_obj(text) -> List[str]:
-        """
-        This function searches for urban objects in the text,
-        the names of which are represented as a number. For example, "school No. 6".
-        """
-        text = str(text)
-        text = text.lower()
-        num_obj_list = []
-        for key, forms in NUM_CITY_OBJ.items():
-            for form in forms:
-                pattern = rf"\b{re.escape(form)}\b\s+№?\s*(\d+)"
-                matches = re.findall(pattern, text)
-                for match in matches:
-                    num_obj_list.append(f"{key} № {match}")
-        num_obj_list = list(set(num_obj_list))
-        num_obj_list_clear = {}
-        for obj in num_obj_list:
-            key = obj.split(" № ")[1]
-            if key in num_obj_list_clear:
-                if len(obj.split(" № ")[0]) > len(num_obj_list_clear[key].split(" № ")[0]):
-                    num_obj_list_clear[key] = obj
-            else:
-                num_obj_list_clear[key] = obj
-
-        return list(num_obj_list_clear.values())
    
-
-
-
    
-[docs]
-    @staticmethod
-    def combine_city_obj(df_obj) -> pd.DataFrame:
-        """
-        Combines the found named urban objects and urban objects whose names are in the form of numbers.
-        """
-        df_obj["other_geo_obj"] = df_obj["other_geo_obj"] + df_obj["other_geo_obj_num"]
-        df_obj.drop(columns=["other_geo_obj_num"], inplace=True)
-        return df_obj
    
-
-
-
    
-[docs]
-    @staticmethod
-    def expand_toponym(df_obj) -> pd.DataFrame:
-        """
-        Splits the list of found entities into different rows for further analysis.
-        """
-        expanded_df = df_obj.copy()
-        expanded_df["other_geo_obj"] = expanded_df["other_geo_obj"].apply(
-            lambda x: x if isinstance(x, list) and x else None
-        )
-        expanded_df = expanded_df.explode("other_geo_obj").reset_index(drop=True)
-        return expanded_df
    
-
-
-
    
-[docs]
-    @staticmethod
-    def find_geometry(toponym, osm_combined_df) -> Point:
-        """
-        Finds the coordinate in the OSM array by the name of the city object.
-        """
-        if toponym is None:
-            return None
-        match = osm_combined_df[osm_combined_df["name"] == toponym]
-        if not match.empty:
-            return match.iloc[0, 1]
-        else:
-            return None
    
-
-
-
    
-[docs]
-    @staticmethod
-    def find_geo_obj_tag(toponym, osm_combined_df) -> str:
-        """
-        Finds the geo_obj_tag in the OSM array by the name of the city object.
-        """
-        if toponym is None:
-            return None
-        match = osm_combined_df[osm_combined_df["name"] == toponym]
-        if not match.empty:
-            return match.iloc[0, -1]
-        else:
-            return None
    
-
-
-
    
-[docs]
-    @staticmethod
-    def get_unique_part_types(df):
-        return df["other_geo_obj"].unique()
    
-
-
-
    
-[docs]
-    @staticmethod
-    def run(osm_id: int, df: pd.DataFrame, text_column: str) -> pd.DataFrame:
-        """
-        Launches the module for extracting urban objects from texts that do not relate to streets.
-        """
-        df_obj = df.copy()
-        df_obj["Numbers"] = pd.NA
-        # osm_combined_df = OtherGeoObjects.run_osm_dfs(osm_id)
-
-        df_obj["other_geo_obj"] = df_obj[text_column].apply(OtherGeoObjects.extract_geo_obj)
-        df_obj["other_geo_obj_num"] = df_obj[text_column].apply(
-            lambda x: OtherGeoObjects.find_num_city_obj(x)
-        )
-        
-        df_obj = OtherGeoObjects.combine_city_obj(df_obj)
-
-        osm_combined_df = OtherGeoObjects.run_osm_dfs(osm_id)
-
-        if not osm_combined_df.empty:
-            df_obj["other_geo_obj"] = df_obj["other_geo_obj"].apply(
-                lambda x: OtherGeoObjects.restoration_of_normal_form(x, osm_combined_df)
-            )
-            df_obj = OtherGeoObjects.expand_toponym(df_obj)
-
-            df_obj["geometry"] = df_obj["other_geo_obj"].apply(lambda x: OtherGeoObjects.find_geometry(x, osm_combined_df))
-            df_obj["geo_obj_tag"] = df_obj["other_geo_obj"].apply(
-                lambda x: OtherGeoObjects.find_geo_obj_tag(x, osm_combined_df)
-            )
-            df_obj = df_obj[df_obj["geometry"].notna()]
-
-        return df_obj
    
-
    
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    Source code for sloyka.src.geocoder.geocoder

    -"""
-TODO: add spellchecker since there might be misspelled words.
-
-This module is aimed to provide necessary tools to find mentioned
-location in the text. 
-
-@class:Location:
-A class aimed to efficiently geocode addresses using Nominatim. 
-Geocoded addresses are stored in the 'book' dictionary argument. 
-Thus, if the address repeats, it would be taken from the book.
-
-@class:Streets: 
-A class encapsulating functionality for retrieving street data
-for a specified city from OSM and processing it to extract useful information
-for geocoding purposes.
-
-@class:Geocoder:
-A class providing functionality for simple geocoding and address extraction.
-"""
-
-import re
-import flair
-from sloyka.src.utils.constants import GLOBAL_CRS
-import geopandas as gpd
-import pandas as pd
-import pymorphy2
-import torch
-import math
-from rapidfuzz import fuzz
-from nltk.stem.snowball import SnowballStemmer
-from sloyka.src.utils.data_getter.historical_geo_data_getter import HistGeoDataGetter
-from sloyka.src.utils.constants import (
-    AREA_STOPWORDS,
-    GROUP_STOPWORDS,
-    REGEX_PATTERN,
-    REPLACEMENT_STRING,
-)
-
-from flair.models import SequenceTagger
-from shapely.geometry import Point
-from tqdm import tqdm
-
-from loguru import logger
-
-from pandarallel import pandarallel
-from sloyka.src.geocoder.city_objects_extractor import OtherGeoObjects
-from sloyka.src.utils.data_getter.street_getter import Streets
-from sloyka.src.utils.data_getter.location_getter import Location
-from sloyka.src.utils.data_getter.geo_data_getter import GeoDataGetter
-from sloyka.src.utils.data_preprocessing.preprocessor import PreprocessorInput
-from sloyka.src.geocoder.street_extractor import StreetExtractor
-from sloyka.src.geocoder.word_form_matcher import WordFormFinder
-
-pandarallel.initialize(progress_bar=True, nb_workers=-1)
-tqdm.pandas()
-
-
-
    
-[docs]
-class Geocoder:
-    """
-    This class provides a functionality of simple geocoder
-    """
-
-    def __init__(
-        self,
-        df,
-        model_path: str = "Geor111y/flair-ner-addresses-extractor",
-        device: str = "cpu",
-        osm_id: int = None,
-        city_tags: dict ={"place": ["state"]},
-        stemmer_lang: str = "russian",
-        text_column_name:str = 'text'
-    ):
-        self.text_column_name = text_column_name
-        self.df = PreprocessorInput().run(df, text_column_name)
-        self.device = device
-        flair.device = torch.device(device)
-        self.classifier = SequenceTagger.load(model_path)
-        self.osm_id = osm_id
-        self.osm_city_name = (
-            GeoDataGetter()
-            .get_features_from_id(osm_id=self.osm_id,tags=city_tags, selected_columns=["name", "geometry"])
-            .iloc[0]["name"]
-        )
-        self.street_names = Streets.run(self.osm_id)
-        self.stemmer = SnowballStemmer(stemmer_lang)
-        
-
-
-
    
-[docs]
-    @staticmethod
-    def get_stem(street_names_df: pd.DataFrame) -> pd.DataFrame:
-        """
-        Function finds the stem of the word to find this stem in the street
-        names dictionary (df).
-        """
-        logger.info("get_stem started")
-
-        morph = pymorphy2.MorphAnalyzer()
-        cases = ["nomn", "gent", "datv", "accs", "ablt", "loct"]
-
-        for case in cases:
-            street_names_df[case] = street_names_df["street_name"].apply(
-                lambda x: morph.parse(x)[0].inflect({case}).word if morph.parse(x)[0].inflect({case}) else None
-            )
-        return street_names_df
    
-
-
-
-
    
-[docs]
-    @staticmethod
-    def get_level(row: pd.Series) -> str:
-        """
-        Addresses in the messages are recognized on different scales:
-        1. Where we know the street name and house number -- house level;
-        2. Where we know only street name -- street level (with the centroid
-        geometry of the street);
-        3. Where we don't know any info but the city -- global level.
-        """
-
-        if (not pd.isna(row["Street"])) and (row["Numbers"] == ""):
-            return "street"
-        elif (not pd.isna(row["Street"])) and (row["Numbers"] != ""):
-            return "house"
-        else:
-            return "global"
    
-
-
- 
-
    
-[docs]
-    def create_gdf(self, df: pd.DataFrame) -> gpd.GeoDataFrame:
-        """
-        Function simply creates gdf from the recognised geocoded geometries.
-        """
-        logger.info("create_gdf started")
-
-        df["Location"] = df["addr_to_geocode"].progress_apply(Location().query)
-        df = df.dropna(subset=["Location"])
-        df["geometry"] = df['Location'].apply(lambda x: Point(x.longitude, x.latitude))
-        df["Location"] = df['Location'].apply(lambda x: x.address)
-        df["Numbers"].astype(str)
-        gdf = gpd.GeoDataFrame(df, geometry="geometry", crs=GLOBAL_CRS)
-
-        return gdf
    
-
-
-
    
-[docs]
-    def set_global_repr_point(self, gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
-        """
-        This function set the centroid (actually, representative point) of the
-        geocoded addresses to those texts that weren't geocoded (or didn't
-        contain any addresses according to the trained NER model).
-        """
-
-        try:
-            gdf.loc[gdf["level"] == "global", "geometry"] = gdf.loc[
-                gdf["level"] != "global", "geometry"
-            ].unary_union.representative_point()
-        except AttributeError:
-            pass
-
-        return gdf
    
-
-
-
    
-[docs]
-    def merge_to_initial_df(self, gdf: gpd.GeoDataFrame, initial_df: pd.DataFrame) -> gpd.GeoDataFrame:
-        """
-        This function merges geocoded df to the initial df in order to keep
-        all original attributes.
-        """
-
-        # initial_df.drop(columns=['key_0'], inplace=True)
-        gdf = initial_df.join(
-            gdf[
-                [
-                    "Street",
-                    "initial_street",
-                    "only_full_street_name",
-                    "Numbers",
-                    "Score",
-                    "location_options",
-                    "Location",
-                    "geometry",
-                ]
-            ],
-            how="outer",
-        )
-        gdf = gpd.GeoDataFrame(gdf, geometry="geometry", crs=GLOBAL_CRS)
-
-        return
    
-
-
-
    
-[docs]
-    def assign_street(variable):
-        '''Simple workaround'''
-
-        if isinstance(variable, float) and math.isnan(variable):
-            return "street"
-        return variable
    
-
-
-
    
-[docs]
-    def get_df_areas(self, osm_id, tags):
-        """
-        Retrieves the GeoDataFrame of areas corresponding to the given OSM ID and tags.
-
-        Args:
-            osm_id (int): The OpenStreetMap ID.
-            tags (dict): The tags to filter by.
-            date (str): The date of the data to retrieve.
-
-        Returns:
-            gpd.GeoDataFrame: The GeoDataFrame containing the areas.
-
-        This function first checks if the GeoDataFrame corresponding to the given OSM ID is already in the cache.
-        If it is, it returns the cached GeoDataFrame. Otherwise, it retrieves the GeoDataFrame from the HistGeoDataGetter,
-        filters out the 'way' elements, and adds it to the cache. Finally, it returns the GeoDataFrame from the cache.
-        """
-        area_cache = {}
-        if osm_id not in area_cache:
-            geo_data_getter = HistGeoDataGetter()
-            df_areas = geo_data_getter.get_features_from_id(osm_id=osm_id, tags=tags)
-            df_areas = df_areas[df_areas["element_type"] != "way"]
-            area_cache[osm_id] = df_areas
-        return area_cache[osm_id]
    
-
-
-
    
-[docs]
-    def preprocess_group_name(self, group_name):
-        """
-        Preprocesses a group name by converting it to lowercase, removing special characters, and removing specified stopwords.
-
-        Args:
-            group_name (str): The group name to preprocess.
-
-        Returns:
-            str: The preprocessed group name.
-        """
-        group_name = group_name.lower()
-        group_name = re.sub(REGEX_PATTERN, REPLACEMENT_STRING, group_name)
-        words_to_remove = GROUP_STOPWORDS
-        for word in words_to_remove:
-            group_name = re.sub(word, "", group_name, flags=re.IGNORECASE)
-        return group_name
    
-
-
-
    
-[docs]
-    def preprocess_area_names(self, df_areas):
-        """
-        Preprocesses the area names in the given DataFrame by removing specified stopwords, converting the names to lowercase,
-        and stemming them.
-
-        Parameters:
-            df_areas (DataFrame): The DataFrame containing the area names.
-
-        Returns:
-            DataFrame: The DataFrame with preprocessed area names, where the 'area_name' column contains the original names
-                      with stopwords removed, the 'area_name_processed' column contains the lowercase names with special characters
-                      removed, and the 'area_stems' column contains the stemmed names.
-        """
-        words_to_remove = AREA_STOPWORDS
-        for word in words_to_remove:
-            df_areas["area_name"] = df_areas["name"].str.replace(word, "", regex=True)
-
-        df_areas["area_name_processed"] = df_areas["area_name"].str.lower()
-        df_areas["area_name_processed"] = df_areas["area_name_processed"].str.replace(
-            REGEX_PATTERN, REPLACEMENT_STRING, regex=True
-        )
-        df_areas["area_stems"] = df_areas["area_name_processed"].apply(
-            lambda x: [self.stemmer.stem(word) for word in x.split()]
-        )
-        return df_areas
    
-
-
-
    
-[docs]
-    def match_group_to_area(self, group_name, df_areas):
-        """
-        Matches a given group name to an area in a DataFrame of areas.
-
-        Args:
-            group_name (str): The name of the group to match.
-            df_areas (DataFrame): The DataFrame containing the areas to match against.
-
-        Returns:
-            tuple: A tuple containing the best match for the group name and the admin level of the match.
-                   If no match is found, returns (None, None).
-        """
-        group_name_stems = [self.stemmer.stem(word) for word in group_name.split()]
-        max_partial_ratio = 20
-        max_token_sort_ratio = 20
-        best_match = None
-        admin_level = None
-
-        for _, row in df_areas.iterrows():
-            area_stems = row["area_stems"]
-
-            partial_ratio = fuzz.partial_ratio(group_name, row["area_name_processed"])
-            token_sort_ratio = fuzz.token_sort_ratio(group_name_stems, area_stems)
-
-            if partial_ratio > max_partial_ratio and token_sort_ratio > max_token_sort_ratio:
-                max_partial_ratio = partial_ratio
-                max_token_sort_ratio = token_sort_ratio
-                best_match = row["area_name"]
-                admin_level = row["key"]
-
-        return best_match, admin_level
    
-
-
-
    
-[docs]
-    def run(
-        self, df: pd.DataFrame = None, tags:dict|None=None, 
-        group_column: str | None = "group_name", search_for_objects=False
-    ):
-        """
-        Runs the data processing pipeline on the input DataFrame.
-
-        Args:
-            tags (dict): The tags to filter by.
-            date (str): The date of the data to retrieve.
-            df (pd.DataFrame): The input DataFrame.
-            text_column (str, optional): The name of the text column in the DataFrame. Defaults to "text".
-
-        Returns:
-            gpd.GeoDataFrame: The processed DataFrame after running the data processing pipeline.
-
-        This function retrieves the GeoDataFrame of areas corresponding to the given OSM ID and tags.
-        It then preprocesses the area names and matches each group name to an area. The best match
-        and admin level are assigned to the DataFrame. The function also retrieves other geographic
-        objects and street names, preprocesses the street names, finds the word form, creates a GeoDataFrame,
-        merges it with the other geographic objects, assigns the street tag, and returns the final GeoDataFrame.
-        """
-        df = self.df
-        initial_df = df.copy()
-        text_column = self.text_column_name
-
-        if search_for_objects:
-            df_obj = OtherGeoObjects.run(self.osm_id, df, text_column)
-            
-
-        if tags:
-            df_areas = self.get_df_areas(self.osm_id, tags)
-            df_areas = self.preprocess_area_names(df_areas)
-
-            if group_column and group_column in df.columns:
-                for i, group_name in enumerate(df[group_column]):
-                    processed_group_name = self.preprocess_group_name(group_name)
-                    best_match, admin_level = self.match_group_to_area(processed_group_name, df_areas)
-                    df.at[i, "territory"] = best_match
-                    df.at[i, "key"] = admin_level
-            del df_areas
-
-        df[text_column] = df[text_column].astype(str).str.replace('\n', ' ')
-        df[text_column] = df[text_column].apply(str)
-        
-
-        df = StreetExtractor.process_pipeline(df, text_column, self.classifier)
-        street_names = self.get_stem(self.street_names)
-
-        df = WordFormFinder(self.osm_city_name).find_word_form(df, street_names)
-
-        del street_names
-        gdf = self.create_gdf(df)
-
-        if search_for_objects:
-            gdf = pd.concat([gdf, df_obj], ignore_index=True)
-            del df_obj
-            gdf["geo_obj_tag"] = gdf["geo_obj_tag"].apply(Geocoder.assign_street)
-
-        gdf = pd.merge(gdf, initial_df, on=text_column, how='right')
-
-        gdf.set_crs(GLOBAL_CRS, inplace=True)
-        return gdf
    
-
    
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    Source code for sloyka.src.geocoder.street_extractor

    -import pandas as pd
-import re
-from tqdm import tqdm
-from loguru import logger
-from typing import Tuple, List, Optional
-
-import string
-import math
-from typing import Optional
-from loguru import logger
-from flair.data import Sentence
-
-# Initialize morphological analyzer (use the correct library for your context)
-import pymorphy2
-morph = pymorphy2.MorphAnalyzer()
-
-from sloyka.src.geocoder.text_address_extractor_by_rules import NatashaExtractor
-from sloyka.src.utils.constants import (
-    START_INDEX_POSITION,
-    REPLACEMENT_DICT,
-    TARGET_TOPONYMS,
-    END_INDEX_POSITION,
-    SCORE_THRESHOLD
-)
-
-
-
    
-[docs]
-class StreetExtractor:
-    
-    extractor = NatashaExtractor()
-
-
    
-[docs]
-    @staticmethod
-    def process_pipeline(df: pd.DataFrame, text_column: str, classifier) -> pd.DataFrame:
-
-        local_df = df.copy()
-        """
-        Execute the address extraction pipeline on the DataFrame.
-
-        Args:
-            df (pd.DataFrame): DataFrame containing the text data.
-            text_column (str): Column name in the DataFrame with text data for address extraction.
-
-        Returns:
-            pd.DataFrame: DataFrame with extracted street addresses and additional processing columns.
-        """
-        texts = StreetExtractor._preprocess_text_column(local_df, text_column)
-        extracted_streets = StreetExtractor._extract_streets(texts, classifier)
-        refined_streets = StreetExtractor._refine_street_data(extracted_streets)
-        building_numbers = StreetExtractor._get_number(texts, refined_streets)
-        toponyms = StreetExtractor._extract_toponyms(texts, refined_streets)
-
-        # Combine results into a DataFrame
-        processed_df = pd.DataFrame({
-            text_column: texts,
-            'Street': refined_streets,
-            'Numbers': building_numbers,
-            'Toponyms': toponyms
-        })
-
-        StreetExtractor._check_df_len_didnt_change(local_df, processed_df)
-        
-        return processed_df
    
-
-    
-    @staticmethod
-    def _check_df_len_didnt_change(df1, df2):
-        try:
-            assert len(df1) == len(df2)
-        except Exception as e:
-            logger.critical('dfs lengths differ')
-            raise e
-
-
-    @staticmethod
-    def _preprocess_text_column(df: pd.DataFrame, text_column: str) -> List[str]:
-        """
-        Preprocess the text column by ensuring non-null values and converting to string type.
-
-        Args:
-            df (pd.DataFrame): DataFrame containing the text data.
-            text_column (str): Column name in the DataFrame with text data.
-
-        Returns:
-            List[str]: List of preprocessed text entries.
-        """
-        try:
-            text_series = df[text_column].dropna().astype(str)
-            return text_series.tolist()
-        except Exception as e:
-            logger.warning(f"Error in _preprocess_text_column: {e}")
-            return []
-
-    @staticmethod
-    def _extract_streets(texts: List[str], classifier) -> List[Tuple[Optional[str], Optional[float]]]:
-        """
-        Extract street names from the text column using NER model.
-
-        Args:
-            texts (List[str]): List of text entries.
-
-        Returns:
-            List[Tuple[Optional[str], Optional[float]]]: List of tuples with extracted street names and confidence scores.
-        """
-        tqdm.pandas()
-        extracted_streets = []
-        for text in tqdm(texts):
-            try:
-                extracted_streets.append(StreetExtractor.extract_ner_street(text, classifier))
-            except Exception as e:
-                logger.warning(f"Error extracting NER street from text '{text}': {e}")
-                extracted_streets.append((None, None))
-        return extracted_streets
-
-    @staticmethod
-    def _refine_street_data(street_data: List[Tuple[Optional[str], Optional[float]]]) -> List[Optional[str]]:
-        """
-        Refine street data by normalizing and cleaning up street names.
-
-        Args:
-            street_data (List[Tuple[Optional[str], Optional[float]]]): List of tuples with extracted street names and confidence scores.
-
-        Returns:
-            List[Optional[str]]: List of refined street names.
-        """
-        refined_streets = []
-        for street, _ in street_data:
-            if street:
-                try:
-                    refined_streets.append(StreetExtractor._refine_street_name(street))
-                except Exception as e:
-                    logger.warning(f"Error refining street '{street}': {e}")
-                    refined_streets.append(None)
-            else:
-                refined_streets.append(None)
-                
-        return refined_streets
-
-    @staticmethod
-    def _refine_street_name(street: str) -> str:
-        """
-        Refine street name by normalizing and cleaning up the street string.
-
-        Args:
-            street (str): Raw street name.
-
-        Returns:
-            str: Refined street name.
-        """
-        try:
-            street = re.sub(r"(\D)(\d)(\D)", r"\1 \2\3", street)
-            street = re.sub(r"\d+|-| ", "", street).strip().lower()
-            return street
-        except Exception as e:
-            logger.warning(f"Error in _refine_street_name with street '{street}': {e}")
-            return ""
-
-    @staticmethod
-    def _get_number(texts: List[str], streets: List[Optional[str]]) -> List[Optional[str]]:
-        """
-        Extract building numbers from the text data.
-
-        Args:
-            texts (List[str]): List of text entries.
-            streets (List[Optional[str]]): List of refined street names.
-
-        Returns:
-            List[Optional[str]]: List of extracted building numbers.
-        """
-        building_numbers = []
-        for text, street in zip(texts, streets):
-            if street:
-                try:
-                    building_numbers.append(StreetExtractor._extract_building_number_from_text(text, street))
-                except Exception as e:
-                    logger.warning(f"Error extracting building number from text '{text}' with street '{street}': {e}")
-                    building_numbers.append(None)
-            else:
-                building_numbers.append(None)
-        return building_numbers
-
-    @staticmethod
-    def _extract_building_number_from_text(text: str, street: str) -> str:
-        """
-        Extract building number from the text.
-
-        Args:
-            text (str): Input text for address extraction.
-            street (str): Extracted and refined street name.
-
-        Returns:
-            str: Extracted building number.
-        """
-        try:
-            numbers = " ".join(re.findall(r"\d+", text))
-            return StreetExtractor._check_if_extracted_number_legit(text, street, numbers)
-        except Exception as e:
-            logger.warning(f"Error in _extract_building_number_from_text with text '{text}' and street '{street}': {e}")
-            return ""
-
-    @staticmethod
-    def _extract_toponyms(texts: List[str], streets: List[Optional[str]]) -> List[Optional[str]]:
-        """
-        Extract toponyms from the text data.
-
-        Args:
-            texts (List[str]): List of text entries.
-            streets (List[Optional[str]]): List of refined street names.
-
-        Returns:
-            List[Optional[str]]: List of extracted toponyms.
-        """
-        toponyms = []
-        for text, street in zip(texts, streets):
-            if street:
-                try:
-                    toponyms.append(StreetExtractor.extract_toponym(text, street))
-                except Exception as e:
-                    logger.warning(f"Error extracting toponym from text '{text}' with street '{street}': {e}")
-                    toponyms.append(None)
-            else:
-                toponyms.append(None)
-        return toponyms
-
-
-
    
-[docs]
-    @staticmethod
-    def extract_toponym(text: str, street_name: str) -> Optional[str]:
-        """
-        Extract toponyms near the specified street name in the text.
-
-        This function identifies the position of a street name in the text and searches for related toponyms
-        within a specified range around the street name.
-
-        Args:
-            text (str): The text containing the address.
-            street_name (str): The name of the street to search around.
-
-        Returns:
-            Optional[str]: The first toponym found if present, otherwise None.
-        """
-        try:
-            # Handle the case where text is NaN
-            if isinstance(text, float) and math.isnan(text):
-                return None
-
-            # Clean and split the text into words
-            cleaned_text = StreetExtractor._clean_text(text)
-            words = cleaned_text.split()
-
-            # Find positions of the street name
-            positions = StreetExtractor._find_street_name_positions(words, street_name)
-            if not positions:
-                return None
-
-            # Search for toponyms in the range around the street name
-            toponym = StreetExtractor._search_toponyms(words, positions[0])
-            return toponym
-
-        except Exception as e:
-            logger.warning(f"Error in extract_toponym with text '{text}' and street_name '{street_name}': {e}")
-            return None
    
-
-
-    # @staticmethod
-    # def _clean_text(text: str) -> str:
-    #     """
-    #     Clean the input text by removing punctuation and converting to lowercase.
-
-    #     Args:
-    #         text (str): The input text.
-
-    #     Returns:
-    #         str: The cleaned text.
-    #     """
-    #     return text.translate(str.maketrans("", "", string.punctuation)).lower()
-
-    # @staticmethod
-    # def _find_street_name_positions(words: List[str], street_name: str) -> List[int]:
-    #     """
-    #     Find positions of the street name in the list of words.
-
-    #     Args:
-    #         words (List[str]): List of words from the cleaned text.
-    #         street_name (str): The name of the street to find.
-
-    #     Returns:
-    #         List[int]: List of positions where the street name occurs.
-    #     """
-    #     return [index for index, word in enumerate(words) if word == street_name]
-
-    @staticmethod
-    def _search_toponyms(words: List[str], position: int) -> Optional[str]:
-        """
-        Search for toponyms within a specified range around the given position.
-
-        Args:
-            words (List[str]): List of words from the cleaned text.
-            position (int): The position around which to search for toponyms.
-
-        Returns:
-            Optional[str]: The first toponym found if present, otherwise None.
-        """
-        search_start = max(0, position - START_INDEX_POSITION)
-        search_end = min(len(words), position + END_INDEX_POSITION)
-
-        for i in range(search_start, search_end + 1):
-            
-            try:
-                word = words[i]
-                normal_form = morph.parse(word)[0].normal_form
-            
-                if normal_form in TARGET_TOPONYMS:
-                    return REPLACEMENT_DICT.get(normal_form, normal_form)
-            
-            except Exception as e:
-                logger.warning(f"Error parsing word '{word}': {e}")
-                continue
-        return None
-
-    @staticmethod
-    def _check_if_extracted_number_legit(text: str, street_name: str, number: Optional[str]) -> str:
-        """
-        Extract building numbers near the specified street name in the text.
-
-        This function identifies the position of a street name in the text and searches for related building numbers
-        within a specified range of indexes around the street name.
-
-        Args:
-            text (str): The text containing the address.
-            street_name (str): The name of the street to search around.
-            number (Optional[str]): Previously extracted building number.
-
-        Returns:
-            str: The first building number found if present, otherwise an empty string.
-        """
-        try:
-            if isinstance(text, float) and math.isnan(text):
-                return ""
-
-            cleaned_text = StreetExtractor._clean_text(text)
-            words = cleaned_text.split()
-
-            positions = StreetExtractor._find_street_name_positions(words, street_name)
-            if not positions:
-                return ""
-
-            building_number = StreetExtractor._search_building_number(words, positions[0])
-            return building_number
-
-        except Exception as e:
-            logger.warning(f"Error in extract_building_num with text '{text}', street_name '{street_name}', number '{number}': {e}")
-            return ""
-
-
-    @staticmethod
-    def _find_street_name_positions(words: List[str], street_name: str) -> List[int]:
-        """
-        Find positions of the street name in the list of words.
-
-        Args:
-            words (List[str]): List of words from the cleaned text.
-            street_name (str): The name of the street to find.
-
-        Returns:
-            List[int]: List of positions where the street name occurs.
-        """
-        return [index for index, word in enumerate(words) if word.lower() == street_name]
-
-    @staticmethod
-    def _search_building_number(words: List[str], position: int) -> str:
-        """
-        Search for building numbers within a specified range around the given position.
-
-        Args:
-            words (List[str]): List of words from the cleaned text.
-            position (int): The position around which to search for building numbers.
-
-        Returns:
-            str: The first building number found if present, otherwise an empty string.
-        """
-        search_start = max(0, position)
-        search_end = min(len(words), position + END_INDEX_POSITION)
-
-        for index in range(search_start, search_end):
-            word = words[index]
-            if StreetExtractor._is_building_number(word):
-                return word
-
-        return ""
-
-    @staticmethod
-    def _is_building_number(word: str) -> bool:
-        """
-        Check if a word is a valid building number.
-
-        Args:
-            word (str): The word to check.
-
-        Returns:
-            bool: True if the word is a valid building number, otherwise False.
-        """
-        return any(character.isdigit() for character in word) and len(word) <= 3
-
-#---------
-
    
-[docs]
-    @staticmethod
-    def extract_ner_street(text: str, classifier) -> pd.Series:
-        """
-        Extract street addresses from text using a pre-trained custom NER model.
-
-        This function processes text by removing unnecessary content, applies a custom NER model 
-        to extract mentioned addresses, and returns the address with a confidence score.
-
-        Args:
-            text (str): The input text to process and extract addresses from.
-
-        Returns:
-            pd.Series: A Series containing the extracted address and confidence score, 
-                    or [None, None] if extraction fails or the score is below the threshold.
-        """
-        try:
-            cleaned_text = StreetExtractor._clean_text(text)
-            sentence = Sentence(cleaned_text)
-            
-            # Predict entities using the classifier
-            classifier.predict(sentence)
-
-            address, score = StreetExtractor._extract_address_and_score(sentence)
-
-            if not address or score < SCORE_THRESHOLD:
-                address = StreetExtractor.extractor.get_ner_address_natasha(text)
-                if address:
-                    score = 1
-            
-            # Return the result if the score is above the threshold
-            return pd.Series([address, score] if score is not None and score > SCORE_THRESHOLD else [None, None])
-
-        except Exception as e:
-            logger.warning(f"Error in extract_ner_street with text '{text}': {e}")
-            return pd.Series([None, None])
    
-
-
-    @staticmethod
-    def _clean_text(text: str) -> str:
-        """
-        Clean the input text by removing unwanted patterns.
-
-        Args:
-            text (str): The input text.
-
-        Returns:
-            str: The cleaned text.
-        """
-        try:
-            return re.sub(r"\[.*?\]", "", text)
-        except Exception as e:
-            logger.warning(f"Error in _clean_text with text '{text}': {e}")
-            return text
-
-    @staticmethod
-    def _extract_address_and_score(sentence: Sentence) -> Tuple[Optional[str], Optional[float]]:
-        """
-        Extract address and score from the NER model's predictions.
-
-        Args:
-            sentence (Sentence): The Sentence object containing NER predictions.
-
-        Returns:
-            Tuple[Optional[str], Optional[float]]: Extracted address and its confidence score.
-        """
-        try:
-            labels = sentence.get_labels("ner")
-            if labels:
-                label = labels[0]
-                address = StreetExtractor._parse_address(label.labeled_identifier)
-                score = round(label.score, 3)
-                return address, score
-            return None, None
-        except IndexError as e:
-            logger.warning(f"Error in _extract_address_and_score: {e}")
-            return None, None
-
-    @staticmethod
-    def _parse_address(label_value: str) -> str:
-        """
-        Parse the address from the label value string.
-
-        Args:
-            label_value (str): The labeled identifier from the NER model.
-
-        Returns:
-            str: Parsed address.
-        """
-        try:
-            return label_value.split("]: ")[1].split("/")[0].replace('"', "")
-        except IndexError as e:
-            logger.warning(f"Error in _parse_address with label value '{label_value}': {e}")
-            return ""
    
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    - Made with - Furo - -
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    Source code for sloyka.src.risks.emotion_classifier

    -"""
-This module contains the EmotionClassifiers class, which is designed to categorise input texts into emotion categories.
-It uses a Huggingface transformer model trained on Bert_Large by default.
-The EmotionClassifiers class has the following method:
-@method:recognize_emotion: Adding an emotion category.
-@method:recognize_average_emotion_from_multiple_models: Adding an average emotion category or the most likely emotion 
-category using multiple models.
-"""
-
-from aniemore.recognizers.text import TextRecognizer
-from aniemore.models import HuggingFaceModel
-import torch
-import pandas as pd
-from tqdm import tqdm
-import gc
-
-
-
    
-[docs]
-class EmotionRecognizer:
-    """
-    This class is designed to categorise input texts into emotion categories.
-
-        Attributes:
-
-    - model: This attribute holds the model used for emotion recognition. It defaults to HuggingFaceModel.Text.Bert_Large,
-    but can be set to any other compatible model during the instantiation of the class.
-
-    - device: the device to use for inference. It automatically selects 'cuda' (GPU) if a compatible GPU
-    is available and CUDA is enabled, otherwise, it falls back to 'cpu'.
-
-    - text: The text to be analyzed.
-
-    - df: The DataFrame containing the text to be analyzed.
-
-    - text_column: The name of the column containing the text to be analyzed.
-    """
-
-    def __init__(self, model_name=HuggingFaceModel.Text.Bert_Tiny, device='cpu'):
-        self.device = device
-        self.model_name = model_name
-
-        # Define the default model names to avoid repeated initialization
-        self.default_model_names = [
-            HuggingFaceModel.Text.Bert_Tiny,
-            HuggingFaceModel.Text.Bert_Base,
-            HuggingFaceModel.Text.Bert_Large,
-            HuggingFaceModel.Text.Bert_Tiny2,
-        ]
-
-        self.recognizer = TextRecognizer(model=self.model_name, device=self.device)
-
-    #def init_base_recognizer(self):
-    #    self.recognizer = TextRecognizer(model=self.model_name, device=self.device)
-
-
-
    
-[docs]
-    def recognize_emotion(self, text):
-        """
-        Return the emotion for a given text.
-        """
-        emotion = self.recognizer.recognize(text, return_single_label=True)
-        return emotion
    
-
-
-
    
-[docs]
-    def recognize_average_emotion_from_multiple_models(self, df, text_column, models=None, average=True):
-        """
-        Calculate the prevailing emotion using multiple models for a DataFrame column.
-        """
-        if models is None:
-            models = self.default_model_names
-        else:
-            # Validate that the provided models are in the default models list
-            for model in models:
-                if model not in self.default_model_names:
-                    raise ValueError(
-                        f"Model {model} is not a valid model. Valid models are: {self.default_model_names}"
-                    )
-
-        # Initialize scores DataFrame
-        scores = pd.DataFrame(
-            0, index=df.index, columns=["happiness", "sadness", "anger", "fear", "disgust", "enthusiasm", "neutral"]
-        )
-
-        # Process each model one by one with progress bar
-        for model_name in tqdm(models, desc="Processing models"):
-            try:
-                print(f"Clearing cache and collecting garbage before loading model: {model_name}")
-                torch.cuda.empty_cache()
-                gc.collect()
-
-                print(f"Loading model: {model_name}")
-                recognizer = TextRecognizer(model=model_name, device=self.device)
-                model_results = [recognizer.recognize(text, return_single_label=False) for text in df[text_column]]
-
-                for idx, result in enumerate(model_results):
-                    for emotion, score in result.items():
-                        if average:
-                            scores.at[df.index[idx], emotion] += score
-                        else:
-                            scores.at[df.index[idx], emotion] = max(scores.at[df.index[idx], emotion], score)
-
-                # Удаление модели из памяти
-                del recognizer
-                torch.cuda.empty_cache()  # Очистка кеша CUDA (если используется GPU)
-                gc.collect()  # Сборка мусора
-                print(f"Model {model_name} processed and unloaded.")
-            except Exception as e:
-                print(f"Error processing model {model_name}: {e}")
-                torch.cuda.empty_cache()
-                gc.collect()
-
-        if average:
-            # Average the scores by the number of models
-            scores = scores.div(len(models))
-
-        # Determine the prevailing emotion with the highest score
-        prevailing_emotions = scores.idxmax(axis=1)
-
-        return prevailing_emotions
    
-
    
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    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
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    Source code for sloyka.src.risks.event_detector

    -"""
-This module contains the EventDetection class, which is aimed to generate events and their connections based
-on the application of semantic clustering method (BERTopic) on the texts in the context of an urban spatial model.
-
-The EventDetection class has the following methods:
-
-@method:_get_roads:
-Get the road network of a city as road links and roads.
-
-@method:_get_buildings:
-Get the buildings of a city as a GeoDataFrame.
-
-@method:_collect_population:
-Collect population data for each object (building, street, link).
-
-@method:_preprocess:
-Preprocess the data.
-"""
-
-import re
-from itertools import chain, combinations
-
-import geopandas as gpd
-import osmnx as ox
-import pandas as pd
-import numpy as np
-from bertopic import BERTopic
-from hdbscan import HDBSCAN
-from shapely.geometry import LineString
-from transformers.pipelines import pipeline
-from umap import UMAP
-
-
-
    
-[docs]
-class EventDetection:
-    """
-    This class is aimed to generate events and their connections.
-    It is based on the application of semantic clustering method (BERTopic)
-    on the texts in the context of urban spatial model
-    """
-
-    def __init__(self):
-        np.random.seed(42)
-        self.population_filepath = None
-        self.levels = ["building", "link", "road", "global"]
-        self.levels_scale = dict(zip(self.levels, list(range(2, 10, 2))))
-        self.functions_weights = {
-            "Безопасность": 0.12,
-            "Благоустройство": 0.21,
-            "Дороги": 0.18,
-            "ЖКХ": 0.2,
-            "Здравоохранение": 0.2,
-            "Другое": 0.16,
-            "Образование": 0.16,
-            "Социальная защита": 0.13,
-            "Строительство": 0.19,
-            "Обращение с отходами": 0.19,
-            "Транспорт": 0.17,
-            "Экология": 0.22,
-            "Энергетика": 0.19,
-        }
-        self.messages = None
-        self.links = None
-        self.buildings = None
-        self.population = None
-        self.topic_model = None
-        self.events = None
-        self.connections = None
-
-    def _get_roads(self, city_name, city_crs) -> gpd.GeoDataFrame:
-        """
-        Get the road network of a city as road links and roads.
-        Args:
-            city_name (string): The name of the city.
-            city_crs (int): The spatial reference code (CRS) of the city.
-        Returns:
-            links (GeoDataFrame): GeoDataFrame with the city's road links and roads.
-        """
-        links = ox.graph_from_place(city_name, network_type="drive")
-        links = ox.utils_graph.graph_to_gdfs(links, nodes=False).to_crs(city_crs)
-        links = links.reset_index(drop=True)
-        links["link_id"] = links.index
-        links["geometry"] = links["geometry"].buffer(7)
-        links = links.to_crs(4326)
-        links = links[["link_id", "name", "geometry"]]
-        links.loc[links["name"].map(type) == list, "name"] = links[links["name"].map(type) == list]["name"].map(
-            lambda x: ", ".join(x)
-        )
-        road_id_name = dict(enumerate(links.name.dropna().unique().tolist()))
-        road_name_id = {v: k for k, v in road_id_name.items()}
-        links["road_id"] = links["name"].replace(road_name_id)
-        return links
-
-    def _get_buildings(self) -> gpd.GeoDataFrame:
-        """
-        Get the buildings of a city as a GeoDataFrame
-        Args:
-            links(GeoDataFrame): GeoDataFrame with the city's road links and roads.
-            filepath (string): The path to the GeoJSON file with building data. The default is set to 'population.geojson'.
-        Returns:
-            buildings (GeoDataFrame): GeoDataFrame with the city's buildings.
-        """
-        buildings = gpd.read_file(self.population_filepath)
-        buildings = buildings[["address", "building_id", "population_balanced", "geometry"]]
-        buildings = buildings.to_crs(4326)
-        buildings["building_id"] = buildings.index
-        buildings = (
-            gpd.sjoin_nearest(
-                buildings,
-                self.links[["link_id", "road_id", "geometry"]],
-                how="left",
-                max_distance=500,
-            )
-            .drop(columns=["index_right"])
-            .drop_duplicates(subset="building_id")
-        )
-        self.buildings = buildings
-        return buildings
-
-    def _collect_population(self) -> dict:
-        """
-        Collect population data for each object (building, street, link).
-        """
-        buildings = self.buildings.copy()
-        pops_global = {0: buildings.population_balanced.sum()}
-        pops_buildings = buildings["population_balanced"].to_dict()
-        pops_links = (
-            buildings[["population_balanced", "link_id"]].groupby("link_id").sum()["population_balanced"].to_dict()
-        )
-        pops_roads = (
-            buildings[["population_balanced", "road_id"]].groupby("road_id").sum()["population_balanced"].to_dict()
-        )
-        pops = {
-            "global": pops_global,
-            "road": pops_roads,
-            "link": pops_links,
-            "building": pops_buildings,
-        }
-        self.population = pops
-        return pops
-
-    def _preprocess(self) -> gpd.GeoDataFrame:
-        """
-        Preprocess the data
-        """
-        messages = self.messages[
-            [
-                "Текст комментария",
-                "geometry",
-                "Дата и время",
-                "message_id",
-                "cats",
-            ]
-        ]
-        messages = messages.sjoin(self.buildings, how="left")[
-            [
-                "Текст комментария",
-                "address",
-                "geometry",
-                "building_id",
-                "message_id",
-                "Дата и время",
-                "cats",
-            ]
-        ]
-        messages.rename(
-            columns={"Текст комментария": "text", "Дата и время": "date_time"},
-            inplace=True,
-        )
-        messages = messages.sjoin(self.links, how="left")[
-            [
-                "text",
-                "geometry",
-                "building_id",
-                "index_right",
-                "name",
-                "message_id",
-                "date_time",
-                "cats",
-                "road_id",
-            ]
-        ]
-        messages.rename(
-            columns={"index_right": "link_id", "name": "road_name"},
-            inplace=True,
-        )
-        messages = messages.join(
-            self.buildings[["link_id", "road_id"]],
-            on="building_id",
-            rsuffix="_from_building",
-        )
-        messages.loc[messages.link_id.isna(), "link_id"] = messages.loc[messages.link_id.isna()][
-            "link_id_from_building"
-        ]
-        messages.loc[messages.road_id.isna(), "road_id"] = messages.loc[messages.road_id.isna()][
-            "road_id_from_building"
-        ]
-        messages = messages[
-            [
-                "message_id",
-                "text",
-                "geometry",
-                "building_id",
-                "link_id",
-                "road_id",
-                "date_time",
-                "cats",
-            ]
-        ].dropna(subset="text")
-        messages["cats"] = messages.cats.astype(str).str.split("; ").map(lambda x: x[0])
-        messages["importance"] = messages["cats"].map(self.functions_weights)
-        messages["importance"].fillna(0.16, inplace=True)
-        messages["global_id"] = 0
-        return messages
-
-    def _create_model(self, min_event_size):
-        """
-        Create a topic model with a UMAP, HDBSCAN, and a BERTopic model.
-        """
-        umap_model = UMAP(
-            n_neighbors=15,
-            n_components=5,
-            min_dist=0.0,
-            metric="cosine",
-            random_state=42,
-        )
-        hdbscan_model = HDBSCAN(
-            min_cluster_size=min_event_size,
-            min_samples=1,
-            metric="euclidean",
-            cluster_selection_method="eom",
-            prediction_data=True,
-        )
-        embedding_model = pipeline("feature-extraction", model="cointegrated/rubert-tiny2")
-        topic_model = BERTopic(
-            embedding_model=embedding_model,
-            hdbscan_model=hdbscan_model,
-            umap_model=umap_model,
-            calculate_probabilities=True,
-            verbose=True,
-            n_gram_range=(1, 3),
-        )
-        return topic_model
-
-    def _event_from_object(
-        self,
-        messages,
-        topic_model,
-        target_column: str,
-        population: dict,
-        object_id: float,
-        event_level: str,
-    ):
-        """
-        Create a list of events for a given object
-        (building, street, link, total).
-        """
-        local_messages = messages[messages[target_column] == object_id]
-        message_ids = local_messages.message_id.tolist()
-        docs = local_messages.text.tolist()
-        if len(docs) >= 5:
-            try:
-                topics, probs = topic_model.fit_transform(docs)
-            except TypeError:
-                print("Can't reduce dimensionality or some other problem")
-                return
-            try:
-                topics = topic_model.reduce_outliers(docs, topics)
-                topic_model.update_topics(docs, topics=topics)
-            except ValueError:
-                print("Can't distribute all messages in topics")
-            event_model = topic_model.get_topic_info()
-            event_model["level"] = event_level
-            event_model["object_id"] = str(object_id)
-            event_model["id"] = event_model.apply(
-                lambda x: f"{str(x.Topic)}_{str(x.level)}_{str(x.object_id)}",
-                axis=1,
-            )
-            try:
-                event_model["potential_population"] = population[event_level][object_id]
-            except Exception:  # need to select type of error
-                event_model["potential_population"] = population["global"][0]
-
-            clustered_messages = pd.DataFrame(data={"id": message_ids, "text": docs, "topic_id": topics})
-            event_model["message_ids"] = [
-                clustered_messages[clustered_messages["topic_id"] == topic]["id"].tolist()
-                for topic in event_model.Topic
-            ]
-            event_model["duration"] = event_model.message_ids.map(
-                lambda x: (
-                    pd.to_datetime(messages[messages["message_id"].isin(x)].date_time).max()
-                    - pd.to_datetime(messages[messages["message_id"].isin(x)].date_time).min()
-                ).days
-            )
-            event_model["category"] = event_model.message_ids.map(
-                lambda x: ", ".join(messages[messages["message_id"].isin(x)].cats.mode().tolist())
-            )
-            event_model["importance"] = event_model.message_ids.map(
-                lambda x: messages[messages["message_id"].isin(x)].importance.mean()
-            )
-            return event_model
-        else:
-            return
-
-    def _get_events(self, min_event_size) -> gpd.GeoDataFrame:
-        """
-        Create a list of events for all levels.
-        """
-        messages = self.messages.copy()
-        messages_list = messages.text.tolist()
-        index_list = messages.message_id.tolist()
-        pops = self._collect_population()
-        topic_model = self._create_model(min_event_size)
-        events = [
-            [
-                self._event_from_object(messages, topic_model, f"{level}_id", pops, oid, level)
-                for oid in messages[f"{level}_id"].unique().tolist()
-            ]
-            for level in reversed(self.levels)
-        ]
-        events = [item for sublist in events for item in sublist if item is not None]
-        events = pd.concat(list(chain(events)))
-        events["geometry"] = events.message_ids.map(
-            lambda x: messages[messages.message_id.isin(x)].geometry.unary_union.representative_point()
-        )
-        events = gpd.GeoDataFrame(events, geometry="geometry").set_crs(4326)
-        events.rename(
-            columns={
-                "Name": "name",
-                "Representative_Docs": "docs",
-                "Count": "intensity",
-                "potential_population": "population",
-            },
-            inplace=True,
-        )
-        events["docs"] = events["docs"].map(
-            lambda x: ", ".join([str(index_list[messages_list.index(text)]) for text in x])
-        )
-        events.message_ids = events.message_ids.map(lambda x: ", ".join([str(id) for id in x]))
-        events["intensity"] = (events["intensity"] - events["intensity"].min()) / (
-            events["intensity"].max() - events["intensity"].min()
-        )
-        events["duration"] = (events["duration"] - events["duration"].min()) / (
-            events["duration"].max() - events["duration"].min()
-        )
-        events.loc[events.intensity == 0, "intensity"] = 0.1  # fix later
-        events.loc[events.duration.isna(), "duration"] = 1  # fix later
-        events["risk"] = events.intensity * events.duration * events.importance * events.population
-        events["message_ids"] = events.message_ids.map(lambda x: ", ".join(list(set(x.split(", ")))))
-        events["docs"] = events.docs.map(lambda x: ", ".join(list(set(x.split(", ")))))
-        return events
-
-    def _get_event_connections(self) -> gpd.GeoDataFrame:
-        """
-        Create a list of connections between events.
-        """
-        events = self.events.copy()
-        events.index = events.id
-        events.geometry = events.centroid
-        weights = [len((set(c[0]) & set(c[1]))) for c in combinations(self.events.message_ids, 2)]
-        nodes = [c for c in combinations(events.id, 2)]
-        connections = pd.DataFrame(nodes, weights).reset_index()
-        connections.columns = ["weight", "a", "b"]
-        connections = connections[connections["weight"] > 0]
-        connections = connections.join(events.geometry, on="a", rsuffix="_")
-        connections = connections.join(events.geometry, on="b", rsuffix="_")
-        events.reset_index(drop=True, inplace=True)
-        connections["geometry"] = connections.apply(lambda x: LineString([x["geometry"], x["geometry_"]]), axis=1)
-        connections.drop(columns=["geometry_"], inplace=True)
-        connections = gpd.GeoDataFrame(connections, geometry="geometry").set_crs(32636)
-        return connections
-
-    def _rebalance(self, connections, events, levels, event_population: int, event_id: str):
-        """
-        Rebalance the population of an event.
-        """
-        connections_of_event = connections[connections.a == event_id].b
-        if len(connections_of_event) > 0:
-            accounted_pops = events[events.id.isin(connections_of_event) & events.level.isin(levels)].population.sum()
-            if event_population >= accounted_pops:
-                rebalanced_pops = event_population - accounted_pops
-            else:
-                connections_of_event = connections[connections.b == event_id].a
-                accounted_pops = events[
-                    events.id.isin(connections_of_event) & events.level.isin(levels)
-                ].population.sum()
-                rebalanced_pops = event_population - accounted_pops
-            return rebalanced_pops
-        else:
-            return event_population
-
-    def _rebalance_events(self) -> gpd.GeoDataFrame:
-        """
-        Rebalance the population of events.
-        """
-        levels = self.levels.copy()
-        events = self.events.copy()
-        connections = self.connections.copy()
-        events_rebalanced = []
-        for level in levels[1:]:
-            levels_to_account = levels[: levels.index(level)]
-            events_for_level = events[events.level == level]
-            events_for_level["rebalanced_population"] = events_for_level.apply(
-                lambda x: self._rebalance(
-                    connections,
-                    events,
-                    levels_to_account,
-                    x.population,
-                    x.id,
-                ),
-                axis=1,
-            )
-            events_rebalanced.append(events_for_level)
-        events_rebalanced = pd.concat(events_rebalanced)
-        events_rebalanced.loc[
-            events_rebalanced.rebalanced_population.isna(),
-            "rebalanced_population",
-        ] = 0
-        events_rebalanced["population"] = events_rebalanced.rebalanced_population
-        events_rebalanced.drop(columns=["rebalanced_population"], inplace=True)
-        events_rebalanced.population = events_rebalanced.population.astype(int)
-        events_rebalanced["population"] = (events_rebalanced["population"] - events_rebalanced["population"].min()) / (
-            events_rebalanced["population"].max() - events_rebalanced["population"].min()
-        )
-        events_rebalanced.loc[events_rebalanced.population == 0, "population"] = 0.01  # fix later
-        events_rebalanced.loc[
-            events_rebalanced.population.isna() & events_rebalanced.level.isin(["building", "link"]),
-            "population",
-        ] = 0.01  # fix later
-        events_rebalanced.loc[
-            events_rebalanced.population.isna() & events_rebalanced.level.isin(["road", "global"]),
-            "population",
-        ] = 1  # fix later
-        events_rebalanced["risk"] = (
-            events_rebalanced.intensity * (events_rebalanced.duration + 1) * events_rebalanced.importance
-        )
-        events_rebalanced = events_rebalanced[["name", "docs", "level", "id", "risk", "message_ids", "geometry"]]
-        return events_rebalanced
-
-    def _filter_outliers(self):
-        """
-        Filter outliers.
-        """
-        pattern = r"^-1.*"
-        events = self.events
-        connections = self.connections
-        print(
-            len(events[events.name.map(lambda x: True if re.match(pattern, x) else False)]),
-            "outlier clusters of",
-            len(events),
-            "total clusters. Filtering...",
-        )
-        events = events[events.name.map(lambda x: False if re.match(pattern, x) else True)]
-        connections = connections[connections.a.map(lambda x: False if re.match(pattern, x) else True)]
-        connections = connections[connections.b.map(lambda x: False if re.match(pattern, x) else True)]
-        return events, connections
-
-    def _prepare_messages(self):
-        """
-        Prepare messages for export.
-        """
-        messages = self.messages.copy()
-        messages = messages.reset_index(drop=True)
-        messages.rename(columns={"cats": "block"}, inplace=True)
-        messages = messages[["message_id", "text", "geometry", "date_time", "block"]]
-        messages = messages.to_crs(4326)
-        return messages
-
-
    
-[docs]
-    def run(
-        self,
-        target_texts: gpd.GeoDataFrame,
-        filepath_to_population: str,
-        city_name: str,
-        city_crs: int,
-        min_event_size: int,
-    ):
-        """
-        Returns a GeoDataFrame of events, a GeoDataFrame of
-        connections between events, and a GeoDataFrame of messages.
-        """
-        self.population_filepath = filepath_to_population
-        self.messages = target_texts.copy()
-        print("messages loaded")
-        self.links = self._get_roads(city_name, city_crs)
-        print("road links loaded")
-        self.buildings = self._get_buildings()
-        print("buildings loaded")
-        self.messages = self._preprocess()
-        print("messages preprocessed")
-        self.events = self._get_events(min_event_size)
-        print("events detected")
-        self.connections = self._get_event_connections()
-        print("connections generated")
-        self.events = self._rebalance_events()
-        print("population and risk rebalanced")
-        self.events, self.connections = self._filter_outliers()
-        print("outliers filtered")
-        self.messages = self._prepare_messages()
-        print("done!")
-
-        return self.messages, self.events, self.connections
    
-
    
-
-
    -
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    -
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    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
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    - - - - - \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/risks/text_classifier.html b/docs/build/html/_modules/sloyka/src/risks/text_classifier.html deleted file mode 100644 index 38ef820..0000000 --- a/docs/build/html/_modules/sloyka/src/risks/text_classifier.html +++ /dev/null @@ -1,395 +0,0 @@ - - - - - - - - sloyka.src.risks.text_classifier - sloyka 0.2.1 documentation - - - - - - - - - - - - - - - - - Contents - - - - - - Menu - - - - - - - - Expand - - - - - - Light mode - - - - - - - - - - - - - - Dark mode - - - - - - - Auto light/dark, in light mode - - - - - - - - - - - - - - - Auto light/dark, in dark mode - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Source code for sloyka.src.risks.text_classifier

    -"""
-This module contains the TextClassifiers class, which is aimed to classify input texts into themes or structured types of events.
-It uses a Huggingface transformer model trained on rubert-tiny.
-In many cases, the count of messages per theme was too low to efficiently train, so synthetic themes based
-on the categories as the upper level were used (for example, 'unknown_ЖКХ').
-
-Attributes:
-- repository_id (str): The repository ID.
-- number_of_categories (int): The number of categories.
-- device_type (str): The type of device.
-
-The TextClassifiers class has the following methods:
-
-@method:initialize_classifier: Initializes the text classification pipeline with the specified model, tokenizer, and device type.
-
-@method:run_text_classifier_topics:
- Takes a text as input and returns the predicted themes and probabilities.
-
-@method:run_text_classifier: 
- Takes a text as input and returns the predicted categories and probabilities.
-"""
-
-import pandas as pd
-from transformers import pipeline
-from sloyka.src.utils.exceptions import InvalidInputError, ClassifierInitializationError, ClassificationError
-
-
-
    
-[docs]
-class TextClassifiers:
-    def __init__(self, repository_id, number_of_categories=1, device_type=None):
-        self.repository_id = repository_id
-        self.number_of_categories = number_of_categories
-        self.device_type = device_type or -1  # -1 will automatically choose the device based on availability
-        self.classifier = None
-
-
    
-[docs]
-    def initialize_classifier(self):
-        if not self.classifier:
-            try:
-                self.classifier = pipeline(
-                    "text-classification",
-                    model=self.repository_id,
-                    tokenizer="cointegrated/rubert-tiny2",
-                    device=self.device_type,
-                )
-            except Exception as e:
-                raise ClassifierInitializationError(f"Failed to initialize the classifier: {e}")
    
-
-
-
    
-[docs]
-    def classify_text(self, text, is_topic=False):
-        if not isinstance(text, str):
-            raise InvalidInputError("Input must be a string.")
-
-        self.initialize_classifier()
-
-        try:
-            predictions = self.classifier(text, top_k=self.number_of_categories)
-            preds_df = pd.DataFrame(predictions)
-            categories = "; ".join(preds_df["label"].tolist())
-            probabilities = "; ".join(preds_df["score"].round(3).astype(str).tolist())
-        except Exception as e:
-            raise ClassificationError(f"Error during text classification: {e}")
-
-        return categories, probabilities
    
-
-
-
    
-[docs]
-    def run_text_classifier_topics(self, text):
-        return self.classify_text(text, is_topic=True)
    
-
-
-
    
-[docs]
-    def run_text_classifier(self, text):
-        return self.classify_text(text)
    
-
    
-
-
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    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
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    - - - - - \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/semantic_graph/semantic_graph_builder.html b/docs/build/html/_modules/sloyka/src/semantic_graph/semantic_graph_builder.html deleted file mode 100644 index 92625b4..0000000 --- a/docs/build/html/_modules/sloyka/src/semantic_graph/semantic_graph_builder.html +++ /dev/null @@ -1,585 +0,0 @@ - - - - - - - - sloyka.src.semantic_graph.semantic_graph_builder - sloyka 0.2.1 documentation - - - - - - - - - - - - - - - - - Contents - - - - - - Menu - - - - - - - - Expand - - - - - - Light mode - - - - - - - - - - - - - - Dark mode - - - - - - - Auto light/dark, in light mode - - - - - - - - - - - - - - - Auto light/dark, in dark mode - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    -

    Source code for sloyka.src.semantic_graph.semantic_graph_builder

    -"""
-@class:Semgraph:
-The main class of the semantic graph module. It is aimed to build a semantic graph based on the provided data
-and parameters.
-More convenient to use after extracting data from geocoder.
-
-The Semgraph class has the following methods:
-
-@method:clean_from_dublicates:
-A function to clean a DataFrame from duplicates based on specified columns.
-
-@method:clean_from_digits:
-Removes digits from the text in the specified column of the input DataFrame.
-
-@method:clean_from_toponyms:
-Clean the text in the specified text column by removing any words that match the toponyms in the name and
-toponym columns.
-
-@method:aggregate_data:
-Creates a new DataFrame by aggregating the data based on the provided text and toponyms columns.
-"""
-
-import nltk
-import pandas as pd
-import geopandas as gpd
-import networkx as nx
-from transformers import BertTokenizer, BertModel  # type: ignore
-
-from .g_attrs_adder import add_attributes
-from .keyword_extracter import extract_keywords
-from .semantic_closeness_annotator import get_semantic_closeness
-from .g_text_data_getter import get_tag, get_coordinates, get_text_ids
-from ..utils.data_preprocessing.preprocessor import (
-    clean_from_dublicates,
-    clean_from_digits,
-    clean_from_toponyms,
-    clean_from_links,
-)
-
-
-
-
-from sloyka.src.utils.constants import TAG_ROUTER
-
-
-
    
-[docs]
-class Semgraph:
-    """
-    This is the main class of semantic graph module.
-    It is aimed to build a semantic graph based on the provided data and parameters.
-    More convinient to use after extracting data from geocoder.
-
-    Param:
-    bert_name: the name of the BERT model to use (default is 'DeepPavlov/rubert-base-cased')
-    language: the language of the BERT model (default is 'russian')
-    device: the device to use for inference (default is 'cpu')
-    """
-
-    def __init__(
-        self, bert_name: str = "DeepPavlov/rubert-base-cased", language: str = "russian", device: str = "cpu"
-    ) -> None:
-        self.language = language
-        self.device = device
-        self.tokenizer = BertTokenizer.from_pretrained(bert_name)
-        self.model_name = bert_name
-        self.model = BertModel.from_pretrained(bert_name).to(device)
-
-
-
    
-[docs]
-    @staticmethod
-    def convert_df_to_edge_df(
-        data: pd.DataFrame | gpd.GeoDataFrame, toponym_column: str, word_info_column: str = "words_score"
-    ) -> pd.DataFrame | gpd.GeoDataFrame:
-        edge_list = []
-
-        for i in data[toponym_column]:
-            current_df = data.loc[data[toponym_column] == i]
-            for j in range(len(current_df)):
-                toponym = current_df[toponym_column].iloc[j]
-                word_nodes = current_df[word_info_column].iloc[j]
-
-                for k in word_nodes:
-                    if k[2] in TAG_ROUTER.keys():
-                        edge_list.append([toponym, k[0], k[1], TAG_ROUTER[k[2]]])
-
-        edge_df = pd.DataFrame(edge_list, columns=["FROM", "TO", "distance", "type"])
-
-        return edge_df
    
-
-
-
    
-[docs]
-    def build_graph(
-        self,
-        data: pd.DataFrame | gpd.GeoDataFrame,
-        id_column: str,
-        text_column: str,
-        text_type_column: str,
-        toponym_column: str,
-        toponym_name_column: str,
-        toponym_type_column: str,
-        post_id_column: str,
-        parents_stack_column: str,
-        directed: bool = True,
-        location_column: str | None = None,
-        geometry_column: str | None = None,
-        key_score_filter: float = 0.6,
-        semantic_score_filter: float = 0.75,
-        top_n: int = 1,
-    ) -> nx.classes.graph.Graph:
-        """
-        Build a graph based on the provided data.
-
-        Args:
-            data (pd.DataFrame or gpd.GeoDataFrame): The input data to build the graph from.
-            id_column (str): The column containing unique identifiers.
-            text_column (str): The column containing text information.
-            text_type_column (str): The column indicating the type of text.
-            toponym_column (str): The column containing toponym information.
-            toponym_name_column (str): The column containing toponym names.
-            toponym_type_column (str): The column containing toponym types.
-            post_id_column (str): The column containing post identifiers.
-            parents_stack_column (str): The column containing parent-child relationships.
-            directed (bool): Flag indicating if the graph is directed. Defaults to True.
-            location_column (str or None): The column containing location information. Defaults to None.
-            geometry_column (str or None): The column containing geometry information. Defaults to None.
-            key_score_filter (float): The threshold for key score filtering. Defaults to 0.6.
-            semantic_score_filter (float): The threshold for semantic score filtering. Defaults to 0.75.
-            top_n (int): The number of top keywords to extract. Defaults to 1.
-
-        Returns:
-            nx.classes.graph.Graph: The constructed graph.
-        """
-
-        data = clean_from_dublicates(data, id_column)
-
-        data = clean_from_digits(data, text_column)
-
-        data = clean_from_toponyms(data, text_column, toponym_name_column, toponym_type_column)
-
-        data = clean_from_links(data, text_column)
-
-        extracted = extract_keywords(
-            self,
-            data,
-            text_column,
-            text_type_column,
-            toponym_column,
-            id_column,
-            post_id_column,
-            parents_stack_column,
-            key_score_filter,
-            top_n,
-        )
-
-        df = extracted[0]
-        toponyms_attributes = extracted[1]
-        words_attributes = extracted[2]
-
-        preprocessed_df = self.convert_df_to_edge_df(data=df, toponym_column=toponym_column)
-
-        words_df = get_semantic_closeness(self, preprocessed_df, "TO", semantic_score_filter)
-
-        graph_df = pd.concat([preprocessed_df, words_df], ignore_index=True)
-        if directed:
-            G = nx.from_pandas_edgelist(
-                graph_df, source="FROM", target="TO", edge_attr=["distance", "type"], create_using=nx.DiGraph()
-            )
-
-        else:
-            G = nx.from_pandas_edgelist(graph_df, source="FROM", target="TO", edge_attr=["distance", "type"])
-
-        nodes = list(G.nodes())
-        attributes = get_tag(nodes, list(set(data[toponym_column])))
-
-        nx.set_node_attributes(G, attributes, "tag")
-        G = add_attributes(G=G, new_attributes=toponyms_attributes, attribute_tag="counts", toponym_attributes=True)
-
-        G = add_attributes(G=G, new_attributes=words_attributes, attribute_tag="counts", toponym_attributes=False)
-
-        if isinstance(data, gpd.GeoDataFrame):
-            G = get_coordinates(
-                G=G,
-                geocoded_data=data,
-                toponym_column=toponym_column,
-                location_column=location_column,
-                geometry_column=geometry_column,
-            )
-
-        G = get_text_ids(G=G, filtered_data=df, toponym_column=toponym_column, text_id_column=id_column)
-
-        return G
    
-
-
-
    
-[docs]
-    def update_graph(
-        self,
-        G: nx.classes.graph.Graph,
-        data: pd.DataFrame | gpd.GeoDataFrame,
-        id_column: str,
-        text_column: str,
-        text_type_column: str,
-        toponym_column: str,
-        toponym_name_column: str,
-        toponym_type_column: str,
-        post_id_column: str,
-        parents_stack_column: str,
-        directed: bool = True,
-        counts_attribute: str | None = None,
-        location_column: str | None = None,
-        geometry_column: str | None = None,
-        key_score_filter: float = 0.6,
-        semantic_score_filter: float = 0.75,
-        top_n: int = 1,
-    ) -> nx.classes.graph.Graph:
-        """
-        Update the input graph based on the provided data, returning the updated graph.
-
-        Args:
-            G (nx.classes.graph.Graph): The input graph to be updated.
-            data (pd.DataFrame or gpd.GeoDataFrame): The input data to update the graph.
-            id_column (str): The column containing unique identifiers.
-            text_column (str): The column containing text information.
-            text_type_column (str): The column indicating the type of text.
-            toponym_column (str): The column containing toponym information.
-            toponym_name_column (str): The column containing toponym names.
-            toponym_type_column (str): The column containing toponym types.
-            post_id_column (str): The column containing post identifiers.
-            parents_stack_column (str): The column containing parent-child relationships.
-            directed (bool): Flag indicating if the graph is directed. Defaults to True.
-            counts_attribute (str or None): The attribute to be used for counting. Defaults to None.
-            location_column (str or None): The column containing location information. Defaults to None.
-            geometry_column (str or None): The column containing geometry information. Defaults to None.
-            key_score_filter (float): The threshold for key score filtering. Defaults to 0.6.
-            semantic_score_filter (float): The threshold for semantic score filtering. Defaults to 0.75.
-            top_n (int): The number of top keywords to extract. Defaults to 1.
-
-        Returns:
-            nx.classes.graph.Graph: The updated graph.
-        """
-
-        new_G = self.build_graph(
-            data,
-            id_column,
-            text_column,
-            text_type_column,
-            toponym_column,
-            toponym_name_column,
-            toponym_type_column,
-            post_id_column,
-            parents_stack_column,
-            directed,
-            location_column,
-            geometry_column,
-            key_score_filter,
-            semantic_score_filter,
-            top_n,
-        )
-
-        joined_G = nx.compose(G, new_G)
-
-        if counts_attribute is not None:
-            nodes = list(set(G.nodes) & set(new_G.nodes))
-            for i in nodes:
-                joined_G.nodes[i]["total_counts"] = G.nodes[i][counts_attribute] + new_G.nodes[i]["counts"]
-
-        return joined_G
    
-
    
-
-
    -
    -
    -
    - -
    - - -
    -
    -
    -
    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
    -
    - -
    -
    - -
    -
    - -
    -
    - - - - - \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_getter/geo_data_getter.html b/docs/build/html/_modules/sloyka/src/utils/data_getter/geo_data_getter.html deleted file mode 100644 index 512a5d7..0000000 --- a/docs/build/html/_modules/sloyka/src/utils/data_getter/geo_data_getter.html +++ /dev/null @@ -1,485 +0,0 @@ - - - - - - - - sloyka.src.utils.data_getter.geo_data_getter - sloyka 0.2.1 documentation - - - - - - - - - - - - - - - - - Contents - - - - - - Menu - - - - - - - - Expand - - - - - - Light mode - - - - - - - - - - - - - - Dark mode - - - - - - - Auto light/dark, in light mode - - - - - - - - - - - - - - - Auto light/dark, in dark mode - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Source code for sloyka.src.utils.data_getter.geo_data_getter

    -import warnings
-warnings.filterwarnings("ignore")
-
-from contextlib import suppress
-import osmnx as ox
-import geopandas as gpd
-import pandas as pd
-from sloyka.src.utils.constants import (
-    GLOBAL_CRS,
-    GLOBAL_METRIC_CRS,
-)
-from tqdm import tqdm
-import requests
-import osm2geojson
-import networkx as nx
-from loguru import logger
-
-from sloyka.src.utils.exceptions import *
-
-
    
-[docs]
-class GeoDataGetter:
-    """
-    This class is used to retrieve geospatial data from OpenStreetMap (OSM) based on given OSM ID and tags.
-
-    Methods:
-    - get_features_from_id: Retrieves features from the given OSM ID using the provided tags and OSM type, and returns the results as a GeoDataFrame.
-    - _get_place_from_id: Retrieves the place from the given OSM ID and OSM type.
-    - _process_tags: Processes the provided tags and returns a list of GeoDataFrames.
-    - _get_features_from_place: Retrieves features from a specific place based on category and tag.
-    - _handle_error: Handles any errors that occur during the process and prints an error message.
-    """
-
    
-[docs]
-    @staticmethod
-    def get_osm_data(osm_id: int, tags: dict) -> pd.DataFrame:
-        """
-        Retrieves spatial data from OSM for given tags using OSM ID and returns a DataFrame.
-        """
-        try:
-            osm_id_rel = f"R{osm_id}"
-            city_boundary_gdf = ox.geocode_to_gdf(osm_id_rel, by_osmid=True)
-            polygon = city_boundary_gdf["geometry"].iloc[0]
-            data = ox.features_from_polygon(polygon, tags)
-            df = pd.DataFrame(data)
-            df = df.dropna(subset=["name"])
-            df = df.loc[:, ["name", "geometry"] + list(tags.keys())]
-            return df
-        except Exception as e:
-            raise ConectionError(f"Error retrieving OSM data for {osm_id_rel}: {e}")
    
-
-
-
    
-[docs]
-    @staticmethod
-    def get_city_bounds(osm_id: int) -> gpd.GeoDataFrame:
-        """
-        Method retrieves the boundary of a specified city from OSM
-        using Overpass API and returns a GeoDataFrame representing
-        the boundary as a polygon.
-        """
-        # Streets.logger.info(f"Retrieving city bounds for osm_id {osm_id}")
-        overpass_url = "http://overpass-api.de/api/interpreter"
-        overpass_query = f"""
-        [out:json];
-            (
-            relation({osm_id});
-            );
-            out geom;
-            """
-
-        try:
-            result = requests.get(overpass_url, params={"data": overpass_query},timeout=30).json()
-            resp = osm2geojson.json2geojson(result)
-            city_bounds = gpd.GeoDataFrame.from_features(resp["features"]).set_crs(GLOBAL_CRS)
-            # Streets.logger.debug(f"City bounds retrieved: {city_bounds}")
-            return city_bounds
-        except requests.exceptions.RequestException as exc:
-            with suppress(ConectionError):
-                raise ConectionError(f'unable to get city bounds') from exc
    
-
-
-
    
-[docs]
-    @staticmethod
-    def get_features_from_id(
-        osm_id: int,
-        tags: dict,
-        osm_type="R",
-        selected_columns=["tag", "element_type", "osmid", "name", "geometry", "centroid"],
-    ) -> gpd.GeoDataFrame:
-        """
-        Get features from the given OSM ID using the provided tags and OSM type, and return the results as a GeoDataFrame.
-
-        Args:
-            osm_id (int): The OpenStreetMap ID.
-            tags (dict): The tags to filter by.
-            osm_type (str, optional): The OpenStreetMap type. Defaults to "R".
-            selected_columns (list, optional): The selected columns to include in the result GeoDataFrame.
-            Defaults to ['tag', 'element_type', 'osmid', 'name', 'geometry', 'centroid'].
-
-        Returns:
-            gpd.GeoDataFrame: The GeoDataFrame containing the features.
-        """
-        place = GeoDataGetter._get_place_from_id(osm_id, osm_type)
-        gdf_list = GeoDataGetter._process_tags(tags, place)
-
-        if len(gdf_list) > 0:
-            merged_gdf = pd.concat(gdf_list).reset_index().loc[:, selected_columns]
-        else:
-            merged_gdf = pd.DataFrame(columns=selected_columns)
-
-        return merged_gdf
    
-
-
-    @staticmethod
-    def _get_place_from_id(osm_id, osm_type):
-        place = ox.project_gdf(ox.geocode_to_gdf(osm_type + str(osm_id), by_osmid=True))
-        return place
-
-    @staticmethod
-    def _process_tags(tags, place):
-        gdf_list = []
-        place_name = place.name.iloc[0]
-        for category, category_tags in tags.items():
-            for tag in tqdm(category_tags, desc=f"Processing category {category}"):
-                try:
-                    gdf = GeoDataGetter._get_features_from_place(place_name, category, tag)
-                    gdf_list.append(gdf)
-                except AttributeError:
-                    logger.warning(f'Error processing {tags, place}')
-                    pass
-        return gdf_list
-
-    @staticmethod
-    def _get_features_from_place(place_name, category, tag):
-        gdf = ox.features_from_place(place_name, tags={category: tag})
-        gdf.geometry.dropna(inplace=True)
-        gdf["tag"] = category
-        gdf["centroid"] = gdf["geometry"]
-
-        tmpgdf = ox.projection.project_gdf(gdf, to_crs=GLOBAL_METRIC_CRS, to_latlong=False)
-        tmpgdf["centroid"] = tmpgdf["geometry"].centroid
-        tmpgdf = tmpgdf.to_crs(GLOBAL_CRS)
-        gdf["centroid"] = tmpgdf["centroid"]
-        tmpgdf = None
-
-        return gdf
-    
-
    
-[docs]
-    @staticmethod
-    def get_drive_graph(city_bounds: gpd.GeoDataFrame) -> nx.MultiDiGraph:
-        """
-        Method uses the OSMnx library to retrieve the street network for a
-        specified city and returns it as a NetworkX MultiDiGraph object, where
-        each edge represents a street segment and each node represents
-        an intersection.
-        """
-
-        try:
-            G_drive = ox.graph_from_polygon(city_bounds.dissolve()["geometry"].squeeze(), network_type="drive")
-            logger.debug(f"Drive graph retrieved: {G_drive}")
-            if isinstance(G_drive, nx.Graph):
-                return G_drive
-            else:
-                raise AttributeError
-        except AttributeError as exc:
-            with suppress(ConectionError):
-                raise ConectionError(f"Error retrieving drive graph: {exc}") from exc
    
-
    
-
-
    -
    -
    -
    - -
    - - -
    -
    -
    -
    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
    -
    - -
    -
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    -
    - -
    -
    - - - - - \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_getter/street_getter.html b/docs/build/html/_modules/sloyka/src/utils/data_getter/street_getter.html deleted file mode 100644 index 0c2d448..0000000 --- a/docs/build/html/_modules/sloyka/src/utils/data_getter/street_getter.html +++ /dev/null @@ -1,441 +0,0 @@ - - - - - - - - sloyka.src.utils.data_getter.street_getter - sloyka 0.2.1 documentation - - - - - - - - - - - - - - - - - Contents - - - - - - Menu - - - - - - - - Expand - - - - - - Light mode - - - - - - - - - - - - - - Dark mode - - - - - - - Auto light/dark, in light mode - - - - - - - - - - - - - - - Auto light/dark, in dark mode - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    -

    Source code for sloyka.src.utils.data_getter.street_getter

    -import re
-import geopandas as gpd
-import pandas as pd
-
-import warnings
-
-from sloyka.src.utils.data_getter.geo_data_getter import GeoDataGetter as dg
-from sloyka.src.utils.data_preprocessing import preprocessor as pp
-from sloyka.src.utils.constants import TOPONYM_PATTERN
-
-warnings.simplefilter("ignore")
-warnings.filterwarnings("ignore", category=DeprecationWarning)
-
-class StreetsError(Exception):
-    """Custom exception for streets-related errors"""
-
-    pass
-
-
-
    
-[docs]
-class Streets:
-    """
-    This class encapsulates functionality for retrieving street data
-    for a specified city from OSM and processing it to extract useful
-    information for geocoding purposes.
-    """
-
-
    
-[docs]
-    @staticmethod
-    def get_street_names(gdf: gpd.GeoDataFrame) -> pd.DataFrame:
-        """
-        Method extracts the unique street names from a
-        GeoDataFrame of street segments.
-        """
-        # Streets.logger.info("Extracting street names")
-        names = set(gdf["name"].explode().dropna())
-        df_streets = pd.DataFrame(names, columns=["street"])
-        # Streets.logger.debug(f"Street names extracted: {df_streets}")
-        return df_streets
    
-
-
-
    
-[docs]
-    @staticmethod
-    def find_toponim_words_from_name(x: str) -> str:
-        """
-        A method to find toponim words from the given name string.
-
-        Args:
-            x (str): The input name string.
-
-        Returns:
-            str: The found toponim word from the input name string, or None if not found.
-        """
-        # Streets.logger.debug(f"Finding toponim words in {x}")
-        pattern = re.compile(
-            TOPONYM_PATTERN,
-            re.IGNORECASE,
-        )
-
-        match = pattern.search(x)
-
-        if match:
-            return match.group().strip().lower()
-        else:
-            return None
    
-
-
-
    
-[docs]
-    @staticmethod
-    def drop_words_from_name(x: str) -> str:
-        """
-        This function drops parts of street names that are not the name
-        of the street (e.g. avenue).
-        """
-        # Streets.logger.debug(f"Dropping words from {x}")
-        try:
-            lst = re.split(
-                TOPONYM_PATTERN,
-                x,
-            )
-            lst.remove("")
-
-            return lst[0].strip().lower()
-
-        except ValueError:
-            return x
    
-
-
-
    
-[docs]
-    @staticmethod
-    def clear_names(streets_df: pd.DataFrame) -> pd.DataFrame:
-        """
-        This function pre-process the street names from the OSM.
-        This step is necessary to match recognised street addresses later.
-        We need to do this match because Nominatim is very sensitive geocoder
-        and requires almost exact match between addresses in the OSM database
-        and the geocoding address.
-        """
-        # Streets.logger.info("Clearing street names")
-        streets_df["toponim_name"] = streets_df["street"].map(Streets.find_toponim_words_from_name)
-        streets_df["street_name"] = streets_df["street"].map(Streets.drop_words_from_name)
-        # Streets.logger.debug(f"Street names cleared: {streets_df}")
-        return streets_df
    
-
-
-
    
-[docs]
-    @staticmethod
-    def run(osm_id: int) -> pd.DataFrame:
-        """
-        A static method to run the process of getting street data based on the given
-        OSM id, returning a pandas DataFrame.
-        """
-        # Streets.logger.info(f"Running street data retrieval for osm_id {osm_id}")
-        city_bounds = dg.get_city_bounds(osm_id)
-        streets_graph = dg.get_drive_graph(city_bounds)
-        streets_gdf = pp.graph_to_gdf(streets_graph)
-        streets_df = Streets.get_street_names(streets_gdf)
-        streets_df = Streets.clear_names(streets_df)
-        # Streets.logger.info(f"Street data retrieval complete: {streets_df}")
-        return streets_df
    
-
    
-
-
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    - - -
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    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
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    - - - - - \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_getter/vk_data_getter.html b/docs/build/html/_modules/sloyka/src/utils/data_getter/vk_data_getter.html deleted file mode 100644 index 485474f..0000000 --- a/docs/build/html/_modules/sloyka/src/utils/data_getter/vk_data_getter.html +++ /dev/null @@ -1,634 +0,0 @@ - - - - - - - - sloyka.src.utils.data_getter.vk_data_getter - sloyka 0.2.1 documentation - - - - - - - - - - - - - - - - - Contents - - - - - - Menu - - - - - - - - Expand - - - - - - Light mode - - - - - - - - - - - - - - Dark mode - - - - - - - Auto light/dark, in light mode - - - - - - - - - - - - - - - Auto light/dark, in dark mode - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Source code for sloyka.src.utils.data_getter.vk_data_getter

    -"""
-This module contains classes for retrieving and working with various types of data.
-
-@class:GeoDataGetter:
-This class is used to retrieve geospatial data from OpenStreetMap (OSM) based on given OSM ID and tags.
-
-@class:VKParser:
-A class for parsing and working with VK comments and posts. Combines posts and comments into one dataframe.
-
-@class:Streets:
-A class for working with street data.
-
-"""
-import pandas as pd
-from tqdm import tqdm
-import requests
-import datetime
-import time
-import random
-
-
    
-[docs]
-class VKParser:
-    API_VERISON = "5.131"
-    COUNT_ITEMS = 100
-    # SLEEP_TIME = 0.5
-    TIMEOUT_LIMIT = 15
-
-
    
-[docs]
-    @staticmethod
-    def get_group_name(domain, accsess_token):
-        params = {"group_id": domain, "access_token": accsess_token, "v": VKParser.API_VERISON}
-        response = requests.get("https://api.vk.com/method/groups.getById", params=params)  # передвинуть повыше
-        data = response.json()
-        if "response" in data and data["response"]:
-            group_name = data["response"][0]["name"]
-            return pd.DataFrame({"group_name": [group_name]})
-        else:
-            print("Error while fetching group name:", data)
-            return pd.DataFrame({"group_name": [None]})
    
-
-
-
    
-[docs]
-    @staticmethod
-    def get_owner_id_by_domain(domain, access_token):
-        """
-        Get the owner ID of a VK group by its domain.
-
-        Args:
-            domain (str): The domain of the VK group.
-            access_token (str): The access token for the VK API.
-
-        Returns:
-            int: The owner ID of the VK group, or None if the request was not successful.
-        """
-        url = "https://api.vk.com/method/wall.get"
-        params = {
-            "domain": domain,
-            "access_token": access_token,
-            "v": VKParser.API_VERISON,
-        }
-        response = requests.get(url, params=params)
-        if response.ok:
-            owner_id = response.json()["response"]["items"][0]["owner_id"]
-        else:
-            owner_id = None
-        return owner_id
    
-
-
-
    
-[docs]
-    @staticmethod
-    def get_group_post_ids(domain, access_token, post_num_limit, step) -> list:
-        """
-        A static method to retrieve a list of post IDs for a given group, based on the owner ID,
-        access token, post number limit, and step size. Returns a list of post IDs.
-        """
-        offset = 0
-        post_ids = []
-
-        while offset < post_num_limit:
-            print(offset, " | ", post_num_limit, end="\r")
-            res = requests.get(
-                "https://api.vk.com/method/wall.get",
-                params={
-                    "access_token": access_token,
-                    "v": VKParser.API_VERISON,
-                    "domain": domain,
-                    "count": step,
-                    "offset": offset,
-                },
-                timeout=10,
-            ).json()["response"]
-            # print(res.json().keys())
-            time.sleep(random.random())
-
-            post_ids_new = [k["id"] for k in res["items"]]
-            post_ids += post_ids_new
-            offset += step
-
-        return post_ids
    
-
-
-
    
-[docs]
-    @staticmethod
-    def get_subcomments(params):
-        """
-        Retrieves subcomments from the VK API.
-
-        Args:
-            owner_id (int): The ID of the owner of the comments.
-            post_id (int): The ID of the post.
-            access_token (str): The access token for authentication.
-            params (dict): Additional parameters for the API request.
-
-        Returns:
-            list: A list of subcomments retrieved from the API.
-        """
-        subcomments = []
-
-        response = requests.get("https://api.vk.com/method/wall.getComments", params=params)
-        # print(response.json().keys())
-        time.sleep(random.random())
-        data = response.json()
-
-        if "response" in data:
-            for item in data["response"]["items"]:
-                item["date"] = datetime.datetime.utcfromtimestamp(item["date"]).strftime("%Y-%m-%d %H:%M:%S")
-                if "likes" in item:
-                    item["likes.count"] = item["likes"]["count"]
-                subcomments.append(item)
-
-        return subcomments
    
-
-
-
    
-[docs]
-    def get_comments(self, owner_id, post_id, access_token):
-        """
-        Get comments for a post on VK using the specified owner ID, post ID, and access token.
-
-        Parameters:
-            owner_id (int): The ID of the post owner.
-            post_id (int): The ID of the post.
-            access_token (str): The access token for authentication.
-
-        Returns:
-            list: A list of dictionaries containing comment information.
-        """
-        params = {
-            "owner_id": owner_id,
-            "post_id": post_id,
-            "access_token": access_token,
-            "v": VKParser.API_VERISON,
-            "extended": 1,
-            "count": 100,
-            "need_likes": 1,
-        }
-
-        comments = []
-
-        response = requests.get("https://api.vk.com/method/wall.getComments", params=params)
-        # print(response.json().keys())
-        time.sleep(random.random())
-        data = response.json()
-
-        if "response" in data:
-            for item in data["response"]["items"]:
-                if item["text"] == "":
-                    continue
-                item["date"] = datetime.datetime.utcfromtimestamp(item["date"]).strftime("%Y-%m-%d %H:%M:%S")
-                if "likes" in item:
-                    item["likes.count"] = item["likes"]["count"]
-                comments.append(item)
-                if item["thread"]["count"] > 0:
-                    params["comment_id"] = item["id"]
-                    subcomments = VKParser.get_subcomments(params)
-                    comments.extend(subcomments)
-        return comments
    
-
-
-
    
-[docs]
-    @staticmethod
-    def comments_to_dataframe(comments):
-        """
-        Convert comments to a DataFrame.
-
-        Args:
-            comments: List of comments to be converted.
-
-        Returns:
-            DataFrame: A DataFrame containing specific columns from the input comments.
-        """
-        df = pd.DataFrame(comments)
-        df = df[["id", "from_id", "date", "text", "post_id", "parents_stack", "likes.count"]]
-        return df
    
-
-
-
    
-[docs]
-    @staticmethod
-    def run_posts(domain, access_token, cutoff_date, number_of_messages=float("inf"), step=50):
-        """
-        A function to retrieve posts from a social media API based on specified parameters.
-
-        Parameters:
-            owner_id (int): The ID of the owner whose posts are being retrieved.
-            access_token (str): The authentication token for accessing the API.
-            step (int): The number of posts to retrieve in each API call.
-            cutoff_date (str): The date to stop retrieving posts (format: '%Y-%m-%d').
-            number_of_messages (float): The maximum number of messages to retrieve (default is infinity).
-
-        Returns:
-            pandas.DataFrame: A DataFrame containing the retrieved posts.
-        """
-    
-        offset = 0
-        all_posts = []
-        if step > number_of_messages:
-            step = number_of_messages
-        while offset < number_of_messages:
-            print(offset, " | ", number_of_messages, end="\r")
-
-            response = requests.get(
-                "https://api.vk.com/method/wall.get",
-                params={
-                    "access_token": access_token,
-                    "v": VKParser.API_VERISON,
-                    "domain": domain,
-                    "count": step,
-                    "offset": offset,
-                }, timeout=600
-            )
-            if response.ok:
-                # print(response.json().keys())
-                data = response.json()["response"]["items"]
-                offset += step
-                current_posts = pd.json_normalize(data)
-                current_posts = current_posts[["date", "id", "text", "views.count", "likes.count", "reposts.count"]]
-                current_posts["date"] = [
-                    datetime.datetime.fromtimestamp(current_posts["date"][i]) for i in range(len(current_posts["date"]))
-                ]
-                current_posts["type"] = "post"
-                all_posts.append(current_posts)
-                print(current_posts.date.min())
-                if any(current_posts["date"] < datetime.datetime.strptime(cutoff_date, "%Y-%m-%d")):
-                    print("posts downloaded")
-                    break
-            else:
-                continue
-            time.sleep(random.random())
-        df_posts = pd.concat(all_posts).reset_index(drop=True)
-        df_posts = df_posts[df_posts.text.map(lambda x: len(x)) > 0]
-        df_posts["text"] = df_posts["text"].str.replace(r"\n", "", regex=True)
-        df_posts["link"] = df_posts["text"].str.extract(r"(https://\S+)")
-        return df_posts
    
-
-    
-
    
-[docs]
-    @staticmethod
-    def run_comments(domain, post_ids, access_token):
-        owner_id = VKParser.get_owner_id_by_domain(domain, access_token)
-        all_comments = []
-        for post_id in tqdm(post_ids):
-            comments = VKParser().get_comments(owner_id, post_id, access_token)
-            all_comments.extend(comments)
-        if len(all_comments) > 0:
-            df = VKParser.comments_to_dataframe(all_comments)
-            df["type"] = "comment"
-            df = df.reset_index(drop=True)
-            print("comments downloaded")
-            return df
-        else:
-            print("no comments")
-            return None
    
-
-
-
    
-[docs]
-    @staticmethod
-    def run_parser(domain, access_token, cutoff_date, number_of_messages=float("inf"), step=100):
-        """
-        Runs the parser with the given parameters and returns a combined DataFrame of posts and comments.
-
-        :param owner_id: The owner ID for the parser.
-        :param access_token: The user token for authentication.
-        :param step: The step size for fetching data.
-        :param cutoff_date: The cutoff date for fetching data.
-        :param number_of_messages: The maximum number of messages to fetch. Defaults to positive infinity.
-        :return: A combined DataFrame of posts and comments.
-        """
-        owner_id = VKParser.get_owner_id_by_domain(domain, access_token)
-        df_posts = VKParser.run_posts(domain=owner_id, access_token=access_token, step=step, cutoff_date=cutoff_date, number_of_messages=number_of_messages)
-        post_ids = df_posts["id"].tolist()
-
-        df_comments = VKParser.run_comments(domain=owner_id, post_ids=post_ids, access_token=access_token)
-        if df_comments is not None:
-            df_comments.loc[df_comments["parents_stack"].apply(lambda x: len(x) > 0), "type"] = "reply"
-            for i in range(len(df_comments)):
-                tmp = df_comments["parents_stack"].iloc[i]
-                if tmp is not None:
-                    if len(tmp) > 0:
-                        df_comments["parents_stack"].iloc[i] = tmp[0]
-                    else:
-                        df_comments["parents_stack"].iloc[i] = None
-
-            df_combined = df_comments.join(df_posts, on="post_id", rsuffix="_post")
-            df_combined = pd.concat([df_posts, df_comments], ignore_index=True)
-        else:
-            df_combined = df_posts
-        df_group_name = VKParser.get_group_name(domain, access_token)
-        df_combined["group_name"] = df_group_name["group_name"][0]
-
-        return df_combined
    
-
    
-
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    - - - - - \ No newline at end of file diff --git a/docs/build/html/_modules/sloyka/src/utils/data_processing/city_services_extract.html b/docs/build/html/_modules/sloyka/src/utils/data_processing/city_services_extract.html deleted file mode 100644 index b7d7d14..0000000 --- a/docs/build/html/_modules/sloyka/src/utils/data_processing/city_services_extract.html +++ /dev/null @@ -1,371 +0,0 @@ - - - - - - - - sloyka.src.utils.data_processing.city_services_extract - sloyka 0.2.1 documentation - - - - - - - - - - - - - - - - - Contents - - - - - - Menu - - - - - - - - Expand - - - - - - Light mode - - - - - - - - - - - - - - Dark mode - - - - - - - Auto light/dark, in light mode - - - - - - - - - - - - - - - Auto light/dark, in dark mode - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    -

    Source code for sloyka.src.utils.data_processing.city_services_extract

    -import numpy as np
-from flair.models import SequenceTagger
-from flair.data import Sentence
-from rapidfuzz import fuzz
-from sloyka.src.utils.constants import CITY_SERVICES_NAMES
-from sloyka.src.utils.data_preprocessing.preprocessor import PreprocessorInput
-
-
    
-[docs]
-class City_services:
-
-    def __init__(self, model_name:str="Glebosol/city_services"):
-        self.tagger = SequenceTagger.load(model_name)
-
-
    
-[docs]
-    def extraction_services(self, text):
-        sentence = Sentence(text)
-        self.tagger.predict(sentence)
-        entities = sentence.get_spans("ner")
-        entity_names = [entity.text for entity in entities]
-        return entity_names
    
-
-
-
    
-[docs]
-    def remove_last_letter(words):
-        reduced_words = [word[:-1] for word in words]
-        return reduced_words
    
-
-
-
    
-[docs]
-    def replace_with_most_similar(list_of_entities):
-        similarity_matrix = np.zeros((len(list_of_entities), len(CITY_SERVICES_NAMES)))
-        for i, word1 in enumerate(list_of_entities):
-            for j, word2 in enumerate(CITY_SERVICES_NAMES):
-                similarity = fuzz.ratio(word1, word2) / 100.0
-                similarity_matrix[i, j] = similarity
-        new_list_of_entities = list_of_entities.copy()
-        for i in range(len(list_of_entities)):
-            max_index = np.argmax(similarity_matrix[i])
-            new_list_of_entities[i] = CITY_SERVICES_NAMES[max_index]
-        return new_list_of_entities
    
-
-
-
    
-[docs]
-    def run(self, df, text_column):
-        df = PreprocessorInput.run(df, text_column)
-        city_services = City_services()
-        df["City_services_extraced"] = df[text_column].apply(city_services.extraction_services)
-        df["City_services_cuted"] = df["City_services_extraced"].apply(City_services.remove_last_letter)
-        df["City_services"] = df["City_services_cuted"].apply(City_services.replace_with_most_similar)
-        df.drop("City_services_cuted", axis=1, inplace=True)
-        return df
    
-
    
-
-
    -
    -
    -
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    - - -
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    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
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    Source code for sloyka.src.visual.graph_visualization

    -import folium
-import random
-
-
-
    
-[docs]
-def visualize_graph(G, zoom: int):
-    """
-    Visualizes a graph from the given graph_path using Folium and MarkerCluster.
-    
-    Args:
-        output_file (str, optional): The file to save the visualization to. Defaults to None.
-        
-    Returns:
-        folium.Map: The folium map object representing the visualized graph.
-    """
-
-    m = folium.Map(
-        zoom_start=zoom,
-        tiles="cartodb_positron",
-        control_scale=True,
-    )
-
-    nodes_group = folium.FeatureGroup(name='Nodes')
-    neighbors_group = folium.FeatureGroup(name='Neighbors')
-    lines_group = folium.FeatureGroup(name='Lines')
-
-    for node, data in G.nodes(data=True):
-        if "Lat" in data and "Lon" in data:
-            main_node_location = [data["Lon"], data["Lat"]]
-            folium.Marker(
-                location=main_node_location,
-                popup=node,
-                icon=folium.DivIcon(
-                    icon_size=(60,20),
-                    icon_anchor=(0,0),
-                    html='<div style="font-size: 6pt; color: blue">%s</div>' % node,
-                )
-            ).add_to(nodes_group)
-            
-            for n in G.neighbors(node):
-                neighbor_location = [
-                    main_node_location[0] + random.uniform(-0.0008, 0.0008),
-                    main_node_location[1] + random.uniform(-0.0008, 0.0008),
-                ]
-                folium.Marker(
-                    location=neighbor_location,
-                    popup=n,
-                    icon=folium.DivIcon(
-                        icon_size=(150,50),
-                        icon_anchor=(0,0),
-                        html=f'<div style="font-size: 10pt;color: darkred">{n}</div>',
-                    )
-                ).add_to(neighbors_group)
-                
-                folium.PolyLine([main_node_location, neighbor_location], color="purple", weight=1, opacity=1).add_to(lines_group)
-
-   
-    m.add_child(nodes_group)
-    m.add_child(neighbors_group)
-    m.add_child(lines_group)
-
-    folium.LayerControl().add_to(m)
-    
-    return m
    
-
-
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    - Copyright © 2024, itmo_idu -
    - Made with - Furo - -
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    - - - - - \ No newline at end of file diff --git a/docs/build/html/_sources/404.rst.txt b/docs/build/html/_sources/404.rst.txt deleted file mode 100644 index 245be92..0000000 --- a/docs/build/html/_sources/404.rst.txt +++ /dev/null @@ -1,12 +0,0 @@ -Page Not Found --------------- - -.. raw:: html - - - -Sorry, we couldn't find that page. - -Try using the search box or go to the homepage. diff --git a/docs/build/html/_sources/about/includes/pipeline.rst.txt b/docs/build/html/_sources/about/includes/pipeline.rst.txt deleted file mode 100644 index 2cef1e3..0000000 --- a/docs/build/html/_sources/about/includes/pipeline.rst.txt +++ /dev/null @@ -1,5 +0,0 @@ -Main pipeline -============ - - -You can get more info about each step in: diff --git a/docs/build/html/_sources/about/installation.rst.txt b/docs/build/html/_sources/about/installation.rst.txt deleted file mode 100644 index a40358b..0000000 --- a/docs/build/html/_sources/about/installation.rst.txt +++ /dev/null @@ -1,8 +0,0 @@ -Installation -============ - -To install Sloyka, run: - -.. code-block:: bash - - pip install sloyka diff --git a/docs/build/html/_sources/about/introduction.rst.txt b/docs/build/html/_sources/about/introduction.rst.txt deleted file mode 100644 index 95c22a9..0000000 --- a/docs/build/html/_sources/about/introduction.rst.txt +++ /dev/null @@ -1,26 +0,0 @@ -Introduction -============ -Sloyka documentation -Date: June, 2024 Version: 0.6 -SLOYKA is a library aimed at enriching digital city models with data obtained from textual data of citizens' digital footprints, as well as at modeling vernacular assessment of urban environment quality. - -Its main element is a constructible spatial semantic hypergraph, augmented by machine recognition of urban entities and locations. - -The SLOYKA's final result is a spatial semantic hypergraph, which generates after two main stages: data receiving -(messages from the social network, mentioning particular city objects in them) and additional processes of data tagging of the collected data to obtain new columns in the resulting GeoDataFrame. -The resulting hypergraph can be used to predict events within existing urban objects (module :ref:`regional_activity`), -or to visualize already existing nodes and links and their further interpretation (module :ref:`graph_visualization`) - -SLOYKA also provides methods for modeling social risks regarding the emotional evaluation of mentioned places. - -Main features --------------- -* Social media parsing: getting posts, comments and replys -* City services and places extraction -* Emotion and text classifiers categorizing -* City's topic modelling -* Spatial-semantic graph building -* Regional activity evaluation - -SLOYKA's Community chat: -https://t.me/sloyka_community \ No newline at end of file diff --git a/docs/build/html/_sources/about/pipeline.rst.txt b/docs/build/html/_sources/about/pipeline.rst.txt deleted file mode 100644 index c19fc24..0000000 --- a/docs/build/html/_sources/about/pipeline.rst.txt +++ /dev/null @@ -1,24 +0,0 @@ -Main pipeline -=================== - -By selecting a limited urbanized area and a list of online communities in a social network, -it is possible to run this dataset across all major library functions. However, in some cases, -the order in which they are run is important. - -.. figure:: /image/etap.png - :align: center - :alt: photo - - SLOYKA's sections - -The main sections were divided into: -* Data receiving (a step possible to skip only if there is already geolocated -text data mentioning urban sites, otherwise the steps are very important - :ref:`data_getter` and :ref:`geocoder` ) - -* Data tagging: Characterization of messages and urban objects, which can be carried out in any order: :ref:`emotion_classifier` :ref:`text_classifier` :ref:`city_services` :ref:`topic_modeler` - -* Data modelling: Section consists of further synthesis of the obtained data, risk assessment and forecasting. Each of the methods in this group requires certain labeling columns: :ref:`sem_graph` :ref:`regional_activity` - -* Data visualization: The last step is applied to the already generated semantic graph - :ref:`graph_visualization` - -You can get more info about each step in! diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt deleted file mode 100644 index fbd55da..0000000 --- a/docs/build/html/_sources/index.rst.txt +++ /dev/null @@ -1,61 +0,0 @@ -Welcome to Sloyka's documentation! -================================== - -Sloyka is a library for analyzing city identity using social media data. - -.. toctree:: - :maxdepth: 1 - :caption: General: - - about/introduction - about/installation - about/pipeline - -.. figure:: /image/sloyka_map.png - :align: center - :alt: photo - - SLOYKA'S ROADMAP - -.. toctree:: - :maxdepth: 1 - :caption: Receiving: - :hidden: - - modules/data_getter - modules/geocoder - -.. toctree:: - :maxdepth: 1 - :caption: Tagging: - :hidden: - - modules/city_services_extract - modules/emotion_classifier - modules/text_classifier - modules/topic_modeler - -.. toctree:: - :maxdepth: 1 - :caption: Modelling: - :hidden: - - modules/semantic_graph - modules/regional_activity - modules/event_dynamic_prediction - -.. toctree:: - :maxdepth: 1 - :caption: Visualization: - :hidden: - - modules/visualize_graph - 404 - - -Indices and tables -================== - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` diff --git a/docs/build/html/_sources/modules/GeoDataGetter.rst.txt b/docs/build/html/_sources/modules/GeoDataGetter.rst.txt deleted file mode 100644 index e007103..0000000 --- a/docs/build/html/_sources/modules/GeoDataGetter.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _GeoDataGetter: - -GeoDataGetter -========================== -This class is used to retrieve geospatial data from OpenStreetMap (OSM) based on given OSM ID and tags. - -.. autoclass:: sloyka.src.utils.data_getter.geo_data_getter.GeoDataGetter - :members: - :undoc-members: \ No newline at end of file diff --git a/docs/build/html/_sources/modules/Geocoder_special.rst.txt b/docs/build/html/_sources/modules/Geocoder_special.rst.txt deleted file mode 100644 index f8254b7..0000000 --- a/docs/build/html/_sources/modules/Geocoder_special.rst.txt +++ /dev/null @@ -1,10 +0,0 @@ -.. _Geocoder_special: - -Geocoder -================== -.. autoclass:: sloyka.src.geocoder.geocoder.Geocoder - :members: - :undoc-members: - :no-members: run - -Back to all :ref:`geocoder` diff --git a/docs/build/html/_sources/modules/OtherGeoObjects.rst.txt b/docs/build/html/_sources/modules/OtherGeoObjects.rst.txt deleted file mode 100644 index 061ae50..0000000 --- a/docs/build/html/_sources/modules/OtherGeoObjects.rst.txt +++ /dev/null @@ -1,15 +0,0 @@ -.. _geo_objects: - -OtherGeoObjects -================== -.. currentmodule:: sloyka.src.geocoder - -.. autoclass:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects - :members: - :undoc-members: - -.. automethod:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects.get_and_process_osm_data -.. automethod:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects.run_osm_dfs -.. automethod:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects.calculate_centroid -.. automethod:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects.extract_geo_obj -.. automethod:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects.restoration_of_normal_form \ No newline at end of file diff --git a/docs/build/html/_sources/modules/StreetExtractor.rst.txt b/docs/build/html/_sources/modules/StreetExtractor.rst.txt deleted file mode 100644 index c7ee4a2..0000000 --- a/docs/build/html/_sources/modules/StreetExtractor.rst.txt +++ /dev/null @@ -1,8 +0,0 @@ -.. _street_extractor: - -StreetExtractor -================== - -.. autoclass:: sloyka.src.geocoder.street_extractor.StreetExtractor - :members: - :undoc-members: process_pipeline \ No newline at end of file diff --git a/docs/build/html/_sources/modules/Streets.rst.txt b/docs/build/html/_sources/modules/Streets.rst.txt deleted file mode 100644 index f04cb31..0000000 --- a/docs/build/html/_sources/modules/Streets.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _Streets: - -Streets -========================== -A class for working with street data. - -.. autoclass:: sloyka.src.utils.data_getter.street_getter.Streets - :members: - :undoc-members: diff --git a/docs/build/html/_sources/modules/VKParser.rst.txt b/docs/build/html/_sources/modules/VKParser.rst.txt deleted file mode 100644 index 4020c27..0000000 --- a/docs/build/html/_sources/modules/VKParser.rst.txt +++ /dev/null @@ -1,7 +0,0 @@ -.. _vkparser: - -VKparser -========================== -.. autoclass:: sloyka.src.utils.data_getter.vk_data_getter.VKParser - :members: - :undoc-members: \ No newline at end of file diff --git a/docs/build/html/_sources/modules/city_services_extract.rst.txt b/docs/build/html/_sources/modules/city_services_extract.rst.txt deleted file mode 100644 index 38388fd..0000000 --- a/docs/build/html/_sources/modules/city_services_extract.rst.txt +++ /dev/null @@ -1,12 +0,0 @@ -.. _city_services: - -Services extraction -========================== -The City_services class is designed to extract city service names from text using a string comparison algorithm, taking into account -the changing service endings in the text. Using the flair library, the City_services.run() method in messages extracts named entities -from the Sentence object as a list, as well as the most probable service type, and stores them in new columns of the original DataFrame(). - -.. automodule:: sloyka.src.utils.data_processing.city_services_extract - :members: - :undoc-members: - \ No newline at end of file diff --git a/docs/build/html/_sources/modules/data_getter.rst.txt b/docs/build/html/_sources/modules/data_getter.rst.txt deleted file mode 100644 index 6366a49..0000000 --- a/docs/build/html/_sources/modules/data_getter.rst.txt +++ /dev/null @@ -1,27 +0,0 @@ -.. _data_getter: - -Data getter -========================== - -This module contains classes for retrieving and working with various types of data. -Sloyka uses class :ref:`vkparser` data from the social network VK (Vkontakte) , as well as data from the OSM retrieved using -:ref:`GeoDataGetter` - -@class:: This class is used to retrieve geospatial data from OpenStreetMap (OSM) based on given OSM ID and tags. - -.. _GeoDataGetter: - A class for parsing and working with VK comments and posts. Combines posts and comments into one dataframe. - - -@class:Streets: A class for working with street data. - - -more: -------------------------------------- -.. toctree:: - :maxdepth: 1 - :caption: Advanced geocoding - - VKParser - Streets - GeoDataGetter \ No newline at end of file diff --git a/docs/build/html/_sources/modules/emotion_classifier.rst.txt b/docs/build/html/_sources/modules/emotion_classifier.rst.txt deleted file mode 100644 index b36b787..0000000 --- a/docs/build/html/_sources/modules/emotion_classifier.rst.txt +++ /dev/null @@ -1,17 +0,0 @@ -.. _emotion_classifier: - -Emotion classifier -================== - -.. automodule:: sloyka.src.risks.emotion_classifier - :members: - :undoc-members: - - -Example -------- -.. code-block:: bash - - df = pd.read_csv('data.csv') - recognizer = EmotionRecognizer() - df['emotion'] = df['text'].apply(recognizer.recognize_emotion) diff --git a/docs/build/html/_sources/modules/event_dynamic_prediction.rst.txt b/docs/build/html/_sources/modules/event_dynamic_prediction.rst.txt deleted file mode 100644 index a1f5709..0000000 --- a/docs/build/html/_sources/modules/event_dynamic_prediction.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _modules: - -Event detector -================== - -.. automodule:: sloyka.src.risks.event_detector - :members: - :undoc-members: - \ No newline at end of file diff --git a/docs/build/html/_sources/modules/geocoder.rst.txt b/docs/build/html/_sources/modules/geocoder.rst.txt deleted file mode 100644 index 4ef23d8..0000000 --- a/docs/build/html/_sources/modules/geocoder.rst.txt +++ /dev/null @@ -1,31 +0,0 @@ -.. _geocoder: -================== - -Geocoding -================== -To perform classification with generalized linear models, see :ref:`Geocoder_special`. - -Geocoder -------------------- -.. autoclass:: sloyka.src.geocoder.geocoder.Geocoder - :members: run - -OtherGeoObjects ---------------------- -.. autoclass:: sloyka.src.geocoder.city_objects_extractor.OtherGeoObjects - :members: run - -StreetExtractor ---------------------- -.. autoclass:: sloyka.src.geocoder.street_extractor.StreetExtractor - :members: process_pipeline - -more: -------------------------------------- -.. toctree:: - :maxdepth: 1 - :caption: Advanced geocoding - - Geocoder_special - OtherGeoObjects - StreetExtractor \ No newline at end of file diff --git a/docs/build/html/_sources/modules/regional_activity.rst.txt b/docs/build/html/_sources/modules/regional_activity.rst.txt deleted file mode 100644 index 2077771..0000000 --- a/docs/build/html/_sources/modules/regional_activity.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _regional_activity: - -Regional activity -================== -The regional_activity module is designed to aggregate data by region and provide information about user activity. -The RegionalActivity class creates a GeoDataFrame with basic information about user activity, using other modules such as geocoder, -text classifier, city_services_extract and emotion_classifier to process the data. The processed data is stored in the class attribute -processed_geodata and can be called after the class is initialized with RegionalActivity.processed_geodata. The class includes the get_risks() -function, which returns a DataFrame with social risk information based on the provided texts. \ No newline at end of file diff --git a/docs/build/html/_sources/modules/semantic_graph.rst.txt b/docs/build/html/_sources/modules/semantic_graph.rst.txt deleted file mode 100644 index b9e1fa5..0000000 --- a/docs/build/html/_sources/modules/semantic_graph.rst.txt +++ /dev/null @@ -1,13 +0,0 @@ -.. _sem_graph: - -Semantic graph -------------------------------------------------- - -.. automodule:: sloyka.src.semantic_graph.semantic_graph_builder - :members: - :undoc-members: - -As a result of the main method Semgraph.build_graph(), the input set of messages is cleaned from duplicates, digits, identified place names -and references. For each message, a given number of keywords is extracted using the KeyBERT library model; thanks to the application of pytorch, -the semantic proximity between keywords is determined as the cosine distance in the resulting embeddings. The final result of the module is a graph, -the nodes of which are toponyms (obtained by the geolocation module) and keywords. \ No newline at end of file diff --git a/docs/build/html/_sources/modules/text_classifier.rst.txt b/docs/build/html/_sources/modules/text_classifier.rst.txt deleted file mode 100644 index e1cf13c..0000000 --- a/docs/build/html/_sources/modules/text_classifier.rst.txt +++ /dev/null @@ -1,14 +0,0 @@ -.. _text_classifier: - -Text Classifier -========================== -The text_classifiers module is designed to classify texts by city functions, such as housing and utilities, public amenities, transportation, -health care, and others, using a pre-trained BERT family model in Russian. The module processes the input text and classifies it into specific urban functions using a -pre-trained rubert-tiny2 model trained on 90,000 marked accesses. The main method, run_text_classifier(), calls the model, takes text as input, and returns up to three predicted -city functions with their probability of being correctly identified. - - -.. automodule:: sloyka.src.risks.text_classifier - :members: - :undoc-members: - :show-inheritance: \ No newline at end of file diff --git a/docs/build/html/_sources/modules/topic_modeler.rst.txt b/docs/build/html/_sources/modules/topic_modeler.rst.txt deleted file mode 100644 index 38631d1..0000000 --- a/docs/build/html/_sources/modules/topic_modeler.rst.txt +++ /dev/null @@ -1,21 +0,0 @@ -.. _topic_modeler: - -Topic Modelling -========================== - -The TopicModeler class is designed to dynamically model topics of city texts. It has a process_topics method that processes -topics for each day in the specified date range and merges topics to create a global topic model. -The clustering of posts into topics is done using the embedding models in BERTopic. -The TopicModeler.process_topics() method results in the addition of the incoming GeoDataFrame with data about -the identified topics stored. Some of the messages may not belong to any of the topic clusters, will belong to cluster -1. - -@class:TopicModeler: -The main class of the topic extraction module. It is aimed to dynamically model city-wide topics from texts. - -The TopicModeler class has the following methods: - -@method:process_topics: -The main function, which is used to process the topics for each day in the specified date range, and merge topics to create a global topic model. - - -Topics = TopicModeler(gdf, start_date, end_date, min_texts=15, embedding_model_name="cointegrated/rubert-tiny2") \ No newline at end of file diff --git a/docs/build/html/_sources/modules/visualize_graph.rst.txt b/docs/build/html/_sources/modules/visualize_graph.rst.txt deleted file mode 100644 index f5e1255..0000000 --- a/docs/build/html/_sources/modules/visualize_graph.rst.txt +++ /dev/null @@ -1,9 +0,0 @@ -.. _graph_visualization: - -Graph visualization -========================== -The function results in an interactive map, which will display graph nodes grouped by clusters. -Each cluster will have its own color and name. Node markers will have a random offset to avoid overlapping. - -.. automodule:: sloyka.src.visual.graph_visualization - :members: visualize_graph \ No newline at end of file diff --git a/docs/build/html/_static/basic.css b/docs/build/html/_static/basic.css deleted file mode 100644 index f316efc..0000000 --- a/docs/build/html/_static/basic.css +++ /dev/null @@ -1,925 +0,0 @@ -/* - * basic.css - * ~~~~~~~~~ - * - * Sphinx stylesheet -- basic theme. - * - * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ - -/* -- main layout ----------------------------------------------------------- */ - -div.clearer { - clear: both; -} - -div.section::after { - display: block; - content: ''; - clear: left; -} - -/* -- relbar ---------------------------------------------------------------- */ - -div.related { - width: 100%; - font-size: 90%; -} - -div.related h3 { - display: none; -} - -div.related ul { - margin: 0; - padding: 0 0 0 10px; 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- content: ''; - clear: both; -} - -/* -- tables ---------------------------------------------------------------- */ - -table.docutils { - margin-top: 10px; - margin-bottom: 10px; - border: 0; - border-collapse: collapse; -} - -table.align-center { - margin-left: auto; - margin-right: auto; -} - -table.align-default { - margin-left: auto; - margin-right: auto; -} - -table caption span.caption-number { - font-style: italic; -} - -table caption span.caption-text { -} - -table.docutils td, table.docutils th { - padding: 1px 8px 1px 5px; - border-top: 0; - border-left: 0; - border-right: 0; - border-bottom: 1px solid #aaa; -} - -th { - text-align: left; - padding-right: 5px; -} - -table.citation { - border-left: solid 1px gray; - margin-left: 1px; -} - -table.citation td { - border-bottom: none; -} - -th > :first-child, -td > :first-child { - margin-top: 0px; -} - -th > :last-child, -td > :last-child { - margin-bottom: 0px; -} - -/* -- figures --------------------------------------------------------------- */ - -div.figure, figure { - margin: 0.5em; - padding: 0.5em; -} - -div.figure p.caption, figcaption { - padding: 0.3em; -} - -div.figure p.caption span.caption-number, -figcaption span.caption-number { - font-style: italic; -} - -div.figure p.caption span.caption-text, -figcaption span.caption-text { -} - -/* -- field list styles ----------------------------------------------------- */ - -table.field-list td, table.field-list th { - border: 0 !important; -} - -.field-list ul { - margin: 0; - padding-left: 1em; -} - -.field-list p { - margin: 0; -} - -.field-name { - -moz-hyphens: manual; - -ms-hyphens: manual; - -webkit-hyphens: manual; - hyphens: manual; -} - -/* -- hlist styles ---------------------------------------------------------- */ - -table.hlist { - margin: 1em 0; -} - -table.hlist td { - vertical-align: top; -} - -/* -- object description styles --------------------------------------------- */ - -.sig { - font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; -} - -.sig-name, code.descname { - background-color: transparent; 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- } -} \ No newline at end of file diff --git a/docs/build/html/_static/custom.css b/docs/build/html/_static/custom.css deleted file mode 100644 index 01eee54..0000000 --- a/docs/build/html/_static/custom.css +++ /dev/null @@ -1,426 +0,0 @@ -/****************************************************************************/ -/* Furo Theme: -/* https://pradyunsg.me/furo/kitchen-sink/ -/* -/* Furo variables can be found here: -/* https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/variables/_index.scss -/* -/* Inline tabs variables: -/* https://github.com/pradyunsg/sphinx-inline-tabs/blob/main/src/sphinx_inline_tabs/static/tabs.css -/****************************************************************************/ - -h1, h2, h3 -{ - margin-top: 1.75rem !important; -} - -h4 -{ - margin-top: 1.5rem !important; -} - -h1 + section > h2, h2 + section > h3, h3 + section > h4 -{ - margin-top: 1.25rem !important; -} - -.tab-content -{ - padding-top: 1rem; - padding-bottom: 1rem; - border-bottom: solid 2px var(--tabs--border); - /* Make tabbed content stand out a little. */ - background: var(--color-background-secondary); - border-left: solid 2px var(--tabs--border--active); -} - -.figure -{ - padding-left: 0 !important; - padding-right: 0 !important; -} - -/* Disable extension styling. */ -.hoverxref -{ - border-bottom: none !important; -} - -#frequent-setup-issues section h3, -#frequently-asked-questions section h2 -{ - font-size: 110%; - font-weight: bold; - margin-bottom: 0.75rem; -} - - -/* Hide sections as these can get long. */ -.toctree-wrapper *[href~="user/faq.html"] + ul, -.toctree-wrapper *[href~="about/history.html"] + ul -{ - display: none; -} - -/* Compatibility admonition is right at the top so it needs more margin. */ -article[role="main"] > .admonition:first-child -{ - margin-top: 2rem; -} - -#assets .sphinx-bs.container.pb-4.docutils -{ - /* Assets have too much padding. */ - padding-bottom: 0 !important; -} - - -/****************************************************************************/ -/* Sidebar Logo -/****************************************************************************/ - -.sidebar-logo -{ - /* Make the square part of the logo centered for symmetry. */ - padding-right: 0.5rem; -} - -.sidebar-brand-text -{ - font-weight: 700; - font-size: 3rem; - margin-top: 0; -} - -/****************************************************************************/ -/* 16:9 Aspect Ration YouTube Embeds */ -/****************************************************************************/ - -.video-container -{ - position: relative; - padding-bottom: 56.25%; /* 16:9 */ - height: 0; - margin-bottom: 2rem; -} - -.figure .video-container -{ - margin-bottom: 0; -} - -.video-container iframe -{ - position: absolute; - top: 0; - left: 0; - width: 100%; - height: 100%; -} - -/****************************************************************************/ -/* Dark Theme Integration for HoverXRef -/****************************************************************************/ - -.tooltipster-box -{ - background-color: var(--color-background-primary) !important; -} - -.tooltipster-content -{ - color: var(--color-foreground-primary) !important; -} - -.tooltipster-arrow-border -{ - border-right-color: var(--color-background-primary) !important; -} - -/****************************************************************************/ -/* Dark Theme Integration for Search -/****************************************************************************/ - -.search__outer::before -{ - content: ""; - position: absolute; - left: 0.5rem; - top: 0.75rem; - width: 1.25rem; - height: 1.25rem; - background-color: var(--color-sidebar-search-icon); - -webkit-mask-image: var(--icon-search); - mask-image: var(--icon-search); -} - -.search__outer, -.rtd__search__credits -{ - background-color: var(--color-background-primary) !important; -} - -.search__result__subheading -{ - color: var(--color-foreground-primary) !important; -} - -.rtd__search__credits, -.rtd__search__credits a, -.search__result__content -{ - color: var(--color-foreground-primary) !important; -} - -.search__outer__input -{ - background-color: transparent !important; - color: var(--color-foreground-primary) !important; - background-image: var(--icon-search) !important; - padding-top: 0.4rem !important; 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- margin-left: -3rem; -} - -.tab-set > label:first-of-type -{ - margin-left: 3rem; -} - -.tab-content -{ - padding-left: 3rem !important; - padding-right: 3rem !important; -} - -@media (max-width: 46em) -{ - .tab-set - { - width: calc(100% + 2rem); - margin-left: -1rem; - } - - .tab-set > label:first-of-type - { - margin-left: 1rem; - } - - .tab-content - { - padding-left: 1rem !important; - padding-right: 1rem !important; - } -} - - -/****************************************************************************/ -/* Fix Medium Zoom */ -/****************************************************************************/ - -.medium-zoom-overlay, -.medium-zoom-image--opened -{ - z-index: 999; -} - - -/****************************************************************************/ -/* Custom Admonitions */ -/****************************************************************************/ - -/* https://squidfunk.github.io/mkdocs-material/reference/admonitions/ */ -/* https://squidfunk.github.io/mkdocs-material/reference/icons-emojis/ */ - -.admonition.admonition-bug -{ - border-left-color: #f50057; 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Should be okay. - return url.href - }) -} - -function updateLocationWithRenderPipeline(renderPipeline) { - const url = new URL(window.location) - url.searchParams.set("rp", renderPipeline) - // Changes the URL without reloading. - window.history.pushState({}, "", url) -} - -// Add support for RP URL parameter. -$(document).ready(_ => { - const renderPipeline = new URLSearchParams(window.location.search).get('rp') - if (renderPipeline != null) { - $(`.tab-label:icontains("${renderPipeline}")`).click() - updateLinksWithRenderPipeline(renderPipeline) - } - $(".tab-label").click(x => { - const tabName = $(x.target).text().toLowerCase() - // Check that the tab is actually a render pipeline tab. - if (RENDER_PIPELINES.includes(tabName)) { - updateLinksWithRenderPipeline(tabName) - updateLocationWithRenderPipeline(tabName) - } - }) - - // Add "(unreleased)" to the latest version when not viewing a stable release. - if (isLatest && window.location.pathname.endsWith("history.html")) { - const headingNode = $("#version h2").textNodes().first() - headingNode.replaceWith(headingNode.text() + " (unreleased)") - } - - if (isLatest) { - // Adapted from: - // https://github.com/godotengine/godot-docs/blob/21979b61badb5dd9d46c9859824fd0f0c0205bbd/_static/js/custom.js#L212-L228 - // Add a compatibility notice using JavaScript so it doesn't end up in the automatically generated - // `meta description` tag. - const stableUrl = location.href.replace('/latest/', '/stable/') - $("article[role='main']").prepend(` -
    -

    Attention

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    - You are reading the latest - (unstable) version of this documentation, which may document features not available - or compatible with the latest Crest packages released on the Unity Asset Store. -

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    - View the stable version of this page. -

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    - `) - } -}) - -// Redirect to latest documentation when visitor lands on an unpublished version. -if (typeof isPage404 !== 'undefined' && isPage404 && isVersion) { - $.ajax({ - type: "HEAD", - url: `/en/${version}/`, - error: _ => { - var newUrl = new URL(window.location) - if (!newUrl.pathname.endsWith("/") && !newUrl.pathname.endsWith(".html")) newUrl.pathname += "/" - newUrl.href = newUrl.href.replace(`/${version}/`, "/latest/") - $("#404-page-script").before(` -
    -

    Attention

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    - Looks like you are on a version without a published tag. - We will redirect you to the latest documentation automatically. - If it does not redirect automatically in a few seconds, please click the follow: - ${newUrl.href} -

    -
    - `) - - window.location.replace(newUrl) - } - }) -} - -// Light/Dark mode support for UAS store widgets. -if (window.matchMedia) { - function applyLightOrDarkMode(isDarkMode) { - const iframes = $("iframe.asset-store") - if (iframes.length == 0) return - // NOTE: Not robust. Will break if we remove the question mark. - const dark = "/widget-wide?" - const light = "/widget-wide-light?" - const oldWidget = isDarkMode ? light : dark - const newWidget = isDarkMode ? dark : light - - if (iframes.attr("src").includes(oldWidget)) { - iframes.attr("src", iframes.attr("src").replace(oldWidget, newWidget)) - } - } - - $(document).ready(_ => applyLightOrDarkMode(window.matchMedia('(prefers-color-scheme: dark)').matches)) - window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', event => applyLightOrDarkMode(event.matches)) -} diff --git a/docs/build/html/_static/debug.css b/docs/build/html/_static/debug.css deleted file mode 100644 index 74d4aec..0000000 --- a/docs/build/html/_static/debug.css +++ /dev/null @@ -1,69 +0,0 @@ -/* - This CSS file should be overridden by the theme authors. It's - meant for debugging and developing the skeleton that this theme provides. -*/ -body { - font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, - "Apple Color Emoji", "Segoe UI Emoji"; - background: lavender; -} -.sb-announcement { - background: rgb(131, 131, 131); -} -.sb-announcement__inner { - background: black; - color: white; -} -.sb-header { - background: lightskyblue; -} -.sb-header__inner { - background: royalblue; - color: white; -} -.sb-header-secondary { - background: lightcyan; -} -.sb-header-secondary__inner { - background: cornflowerblue; - color: white; -} -.sb-sidebar-primary { - background: lightgreen; -} -.sb-main { - background: blanchedalmond; -} -.sb-main__inner { - background: antiquewhite; -} -.sb-header-article { - background: lightsteelblue; -} -.sb-article-container { - background: snow; -} -.sb-article-main { - background: white; -} -.sb-footer-article { - background: lightpink; -} -.sb-sidebar-secondary { - background: lightgoldenrodyellow; -} -.sb-footer-content { - background: plum; -} -.sb-footer-content__inner { - background: palevioletred; -} -.sb-footer { - background: pink; -} -.sb-footer__inner { - background: salmon; -} -.sb-article { - background: white; -} diff --git a/docs/build/html/_static/doctools.js b/docs/build/html/_static/doctools.js deleted file mode 100644 index 4d67807..0000000 --- a/docs/build/html/_static/doctools.js +++ /dev/null @@ -1,156 +0,0 @@ -/* - * doctools.js - * ~~~~~~~~~~~ - * - * Base JavaScript utilities for all Sphinx HTML documentation. - * - * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ -"use strict"; - -const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([ - "TEXTAREA", - "INPUT", - "SELECT", - "BUTTON", -]); - -const _ready = (callback) => { - if (document.readyState !== "loading") { - callback(); - } else { - document.addEventListener("DOMContentLoaded", callback); - } -}; - -/** - * Small JavaScript module for the documentation. - */ -const Documentation = { - init: () => { - Documentation.initDomainIndexTable(); - Documentation.initOnKeyListeners(); - }, - - /** - * i18n support - */ - TRANSLATIONS: {}, - PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), - LOCALE: "unknown", - - // gettext and ngettext don't access this so that the functions - // can safely bound to a different name (_ = Documentation.gettext) - gettext: (string) => { - const translated = Documentation.TRANSLATIONS[string]; - switch (typeof translated) { - case "undefined": - return string; // no translation - case "string": - return translated; // translation exists - default: - return translated[0]; // (singular, plural) translation tuple exists - } - }, - - ngettext: (singular, plural, n) => { - const translated = Documentation.TRANSLATIONS[singular]; - if (typeof translated !== "undefined") - return translated[Documentation.PLURAL_EXPR(n)]; - return n === 1 ? singular : plural; - }, - - addTranslations: (catalog) => { - Object.assign(Documentation.TRANSLATIONS, catalog.messages); - Documentation.PLURAL_EXPR = new Function( - "n", - `return (${catalog.plural_expr})` - ); - Documentation.LOCALE = catalog.locale; - }, - - /** - * helper function to focus on search bar - */ - focusSearchBar: () => { - document.querySelectorAll("input[name=q]")[0]?.focus(); - }, - - /** - * Initialise the domain index toggle buttons - */ - initDomainIndexTable: () => { - const toggler = (el) => { - const idNumber = el.id.substr(7); - const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); - if (el.src.substr(-9) === "minus.png") { - el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; - toggledRows.forEach((el) => (el.style.display = "none")); - } else { - el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`; - toggledRows.forEach((el) => (el.style.display = "")); - } - }; - - const togglerElements = document.querySelectorAll("img.toggler"); - togglerElements.forEach((el) => - el.addEventListener("click", (event) => toggler(event.currentTarget)) - ); - togglerElements.forEach((el) => (el.style.display = "")); - if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler); - }, - - initOnKeyListeners: () => { - // only install a listener if it is really needed - if ( - !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && - !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS - ) - return; - - document.addEventListener("keydown", (event) => { - // bail for input elements - if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; - // bail with special keys - if (event.altKey || event.ctrlKey || event.metaKey) return; - - if (!event.shiftKey) { - switch (event.key) { - case "ArrowLeft": - if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; - - const prevLink = document.querySelector('link[rel="prev"]'); - if (prevLink && prevLink.href) { - window.location.href = prevLink.href; - event.preventDefault(); - } - break; - case "ArrowRight": - if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; - - const nextLink = document.querySelector('link[rel="next"]'); - if (nextLink && nextLink.href) { - window.location.href = nextLink.href; - event.preventDefault(); - } - break; - } - } - - // some keyboard layouts may need Shift to get / - switch (event.key) { - case "/": - if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break; - Documentation.focusSearchBar(); - event.preventDefault(); - } - }); - }, -}; - -// quick alias for translations -const _ = Documentation.gettext; - -_ready(Documentation.init); diff --git a/docs/build/html/_static/documentation_options.js b/docs/build/html/_static/documentation_options.js deleted file mode 100644 index add8e0c..0000000 --- a/docs/build/html/_static/documentation_options.js +++ /dev/null @@ -1,13 +0,0 @@ -const DOCUMENTATION_OPTIONS = { - VERSION: '0.2.1', - LANGUAGE: 'en', - COLLAPSE_INDEX: false, - BUILDER: 'html', - FILE_SUFFIX: '.html', - LINK_SUFFIX: '.html', - HAS_SOURCE: true, - SOURCELINK_SUFFIX: '.txt', - NAVIGATION_WITH_KEYS: false, - SHOW_SEARCH_SUMMARY: true, - ENABLE_SEARCH_SHORTCUTS: true, -}; \ No newline at end of file diff --git a/docs/build/html/_static/file.png b/docs/build/html/_static/file.png deleted file mode 100644 index a858a410e4faa62ce324d814e4b816fff83a6fb3..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 286 zcmV+(0pb3MP)s`hMrGg#P~ix$^RISR_I47Y|r1 z_CyJOe}D1){SET-^Amu_i71Lt6eYfZjRyw@I6OQAIXXHDfiX^GbOlHe=Ae4>0m)d(f|Me07*qoM6N<$f}vM^LjV8( diff --git a/docs/build/html/_static/language_data.js b/docs/build/html/_static/language_data.js deleted file mode 100644 index 367b8ed..0000000 --- a/docs/build/html/_static/language_data.js +++ /dev/null @@ -1,199 +0,0 @@ -/* - * language_data.js - * ~~~~~~~~~~~~~~~~ - * - * This script contains the language-specific data used by searchtools.js, - * namely the list of stopwords, stemmer, scorer and splitter. - * - * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ - -var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"]; - - -/* Non-minified version is copied as a separate JS file, if available */ - -/** - * Porter Stemmer - */ -var Stemmer = function() { - - var step2list = { - ational: 'ate', - tional: 'tion', - enci: 'ence', - anci: 'ance', - izer: 'ize', - bli: 'ble', - alli: 'al', - entli: 'ent', - eli: 'e', - ousli: 'ous', - ization: 'ize', - ation: 'ate', - ator: 'ate', - alism: 'al', - iveness: 'ive', - fulness: 'ful', - ousness: 'ous', - aliti: 'al', - iviti: 'ive', - biliti: 'ble', - logi: 'log' - }; - - var step3list = { - icate: 'ic', - ative: '', - alize: 'al', - iciti: 'ic', - ical: 'ic', - ful: '', - ness: '' - }; - - var c = "[^aeiou]"; // consonant - var v = "[aeiouy]"; // vowel - var C = c + "[^aeiouy]*"; // consonant sequence - var V = v + "[aeiou]*"; // vowel sequence - - var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 - var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 - var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 - var s_v = "^(" + C + ")?" + v; // vowel in stem - - this.stemWord = function (w) { - var stem; - var suffix; - var firstch; - var origword = w; - - if (w.length < 3) - return w; - - var re; - var re2; - var re3; - var re4; - - firstch = w.substr(0,1); - if (firstch == "y") - w = firstch.toUpperCase() + w.substr(1); - - // Step 1a - re = /^(.+?)(ss|i)es$/; - re2 = /^(.+?)([^s])s$/; - - if (re.test(w)) - w = w.replace(re,"$1$2"); - else if (re2.test(w)) - w = w.replace(re2,"$1$2"); - - // Step 1b - re = /^(.+?)eed$/; - re2 = /^(.+?)(ed|ing)$/; - if (re.test(w)) { - var fp = re.exec(w); - re = new RegExp(mgr0); - if (re.test(fp[1])) { - re = /.$/; - w = w.replace(re,""); - } - } - else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1]; - re2 = new RegExp(s_v); - if (re2.test(stem)) { - w = stem; - re2 = /(at|bl|iz)$/; - re3 = new RegExp("([^aeiouylsz])\\1$"); - re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - if (re2.test(w)) - w = w + "e"; - else if (re3.test(w)) { - re = /.$/; - w = w.replace(re,""); - } - else if (re4.test(w)) - w = w + "e"; - } - } - - // Step 1c - re = /^(.+?)y$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(s_v); - if (re.test(stem)) - w = stem + "i"; - } - - // Step 2 - re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = new RegExp(mgr0); - if (re.test(stem)) - w = stem + step2list[suffix]; - } - - // Step 3 - re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - suffix = fp[2]; - re = new RegExp(mgr0); - if (re.test(stem)) - w = stem + step3list[suffix]; - } - - // Step 4 - re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; - re2 = /^(.+?)(s|t)(ion)$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(mgr1); - if (re.test(stem)) - w = stem; - } - else if (re2.test(w)) { - var fp = re2.exec(w); - stem = fp[1] + fp[2]; - re2 = new RegExp(mgr1); - if (re2.test(stem)) - w = stem; - } - - // Step 5 - re = /^(.+?)e$/; - if (re.test(w)) { - var fp = re.exec(w); - stem = fp[1]; - re = new RegExp(mgr1); - re2 = new RegExp(meq1); - re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); - if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) - w = stem; - } - re = /ll$/; - re2 = new RegExp(mgr1); - if (re.test(w) && re2.test(w)) { - re = /.$/; - w = w.replace(re,""); - } - - // and turn initial Y back to y - if (firstch == "y") - w = firstch.toLowerCase() + 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false,\n nestedClass: \"active\",\n\n // Offset & reflow\n offset: 0,\n reflow: false,\n\n // Event support\n events: true,\n };\n\n //\n // Methods\n //\n\n /**\n * Merge two or more objects together.\n * @param {Object} objects The objects to merge together\n * @returns {Object} Merged values of defaults and options\n */\n var extend = function () {\n var merged = {};\n Array.prototype.forEach.call(arguments, function (obj) {\n for (var key in obj) {\n if (!obj.hasOwnProperty(key)) return;\n merged[key] = obj[key];\n }\n });\n return merged;\n };\n\n /**\n * Emit a custom event\n * @param {String} type The event type\n * @param {Node} elem The element to attach the event to\n * @param {Object} detail Any details to pass along with the event\n */\n var emitEvent = function (type, elem, detail) {\n // Make sure events are enabled\n if (!detail.settings.events) return;\n\n // Create a new event\n var event = new CustomEvent(type, {\n bubbles: true,\n cancelable: true,\n detail: detail,\n });\n\n // Dispatch the event\n elem.dispatchEvent(event);\n };\n\n /**\n * Get an element's distance from the top of the Document.\n * @param {Node} elem The element\n * @return {Number} Distance from the top in pixels\n */\n var getOffsetTop = function (elem) {\n var location = 0;\n if (elem.offsetParent) {\n while (elem) {\n location += elem.offsetTop;\n elem = elem.offsetParent;\n }\n }\n return location >= 0 ? location : 0;\n };\n\n /**\n * Sort content from first to last in the DOM\n * @param {Array} contents The content areas\n */\n var sortContents = function (contents) {\n if (contents) {\n contents.sort(function (item1, item2) {\n var offset1 = getOffsetTop(item1.content);\n var offset2 = getOffsetTop(item2.content);\n if (offset1 < offset2) return -1;\n return 1;\n });\n }\n };\n\n /**\n * Get the offset to use for calculating position\n * @param {Object} settings The settings for this instantiation\n * @return {Float} The number of pixels to offset the 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content areas\n * @param {Object} settings The settings for this instantiation\n * @return {Object} The content area and matching navigation link\n */\n var getActive = function (contents, settings) {\n var last = contents[contents.length - 1];\n if (useLastItem(last, settings)) return last;\n for (var i = contents.length - 1; i >= 0; i--) {\n if (isInView(contents[i].content, settings)) return contents[i];\n }\n };\n\n /**\n * Deactivate parent navs in a nested navigation\n * @param {Node} nav The starting navigation element\n * @param {Object} settings The settings for this instantiation\n */\n var deactivateNested = function (nav, settings) {\n // If nesting isn't activated, bail\n if (!settings.nested || !nav.parentNode) return;\n\n // Get the parent navigation\n var li = nav.parentNode.closest(\"li\");\n if (!li) return;\n\n // Remove the active class\n li.classList.remove(settings.nestedClass);\n\n // Apply recursively to any parent navigation elements\n deactivateNested(li, settings);\n };\n\n /**\n * Deactivate a nav and content area\n * @param {Object} items The nav item and content to deactivate\n * @param {Object} settings The settings for this instantiation\n */\n var deactivate = function (items, settings) {\n // Make sure there are items to deactivate\n if (!items) return;\n\n // Get the parent list item\n var li = items.nav.closest(\"li\");\n if (!li) return;\n\n // Remove the active class from the nav and content\n li.classList.remove(settings.navClass);\n items.content.classList.remove(settings.contentClass);\n\n // Deactivate any parent navs in a nested navigation\n deactivateNested(li, settings);\n\n // Emit a custom event\n emitEvent(\"gumshoeDeactivate\", li, {\n link: items.nav,\n content: items.content,\n settings: settings,\n });\n };\n\n /**\n * Activate parent navs in a nested navigation\n * @param {Node} nav The starting navigation element\n * @param {Object} settings The settings for this instantiation\n */\n var activateNested = function (nav, settings) {\n // If nesting isn't activated, bail\n if (!settings.nested) return;\n\n // Get the parent navigation\n var li = nav.parentNode.closest(\"li\");\n if (!li) return;\n\n // Add the active class\n li.classList.add(settings.nestedClass);\n\n // Apply recursively to any parent navigation elements\n activateNested(li, settings);\n };\n\n /**\n * Activate a nav and content area\n * @param {Object} items The nav item and content to activate\n * @param {Object} settings The settings for this instantiation\n */\n var activate = function (items, settings) {\n // Make sure there are items to activate\n if (!items) return;\n\n // Get the parent list item\n var li = items.nav.closest(\"li\");\n if (!li) return;\n\n // Add the active class to the nav and content\n li.classList.add(settings.navClass);\n items.content.classList.add(settings.contentClass);\n\n // Activate any parent navs in a nested navigation\n activateNested(li, settings);\n\n // Emit a custom event\n emitEvent(\"gumshoeActivate\", li, {\n link: items.nav,\n content: items.content,\n settings: settings,\n });\n };\n\n /**\n * Create the Constructor object\n * @param {String} selector The selector to use for navigation items\n * @param {Object} options User options and settings\n */\n var Constructor = function (selector, options) {\n //\n // Variables\n //\n\n var publicAPIs = {};\n var navItems, contents, current, timeout, settings;\n\n //\n // Methods\n //\n\n /**\n * Set variables from DOM elements\n */\n publicAPIs.setup = function () {\n // Get all nav items\n navItems = document.querySelectorAll(selector);\n\n // Create contents array\n contents = [];\n\n // Loop through each item, get it's matching content, and push to the array\n Array.prototype.forEach.call(navItems, function (item) {\n // Get the content for the nav item\n var content = document.getElementById(\n decodeURIComponent(item.hash.substr(1)),\n );\n if (!content) return;\n\n // Push to the contents array\n 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* searchtools.js - * ~~~~~~~~~~~~~~~~ - * - * Sphinx JavaScript utilities for the full-text search. - * - * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS. - * :license: BSD, see LICENSE for details. - * - */ -"use strict"; - -/** - * Simple result scoring code. - */ -if (typeof Scorer === "undefined") { - var Scorer = { - // Implement the following function to further tweak the score for each result - // The function takes a result array [docname, title, anchor, descr, score, filename] - // and returns the new score. - /* - score: result => { - const [docname, title, anchor, descr, score, filename] = result - return score - }, - */ - - // query matches the full name of an object - objNameMatch: 11, - // or matches in the last dotted part of the object name - objPartialMatch: 6, - // Additive scores depending on the priority of the object - objPrio: { - 0: 15, // used to be importantResults - 1: 5, // used to be objectResults - 2: -5, // used to be unimportantResults - }, - // Used when the priority is not in the mapping. - objPrioDefault: 0, - - // query found in title - title: 15, - partialTitle: 7, - // query found in terms - term: 5, - partialTerm: 2, - }; -} - -const _removeChildren = (element) => { - while (element && element.lastChild) element.removeChild(element.lastChild); -}; - -/** - * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping - */ -const _escapeRegExp = (string) => - string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string - -const _displayItem = (item, searchTerms, highlightTerms) => { - const docBuilder = DOCUMENTATION_OPTIONS.BUILDER; - const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX; - const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX; - const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY; - const contentRoot = document.documentElement.dataset.content_root; - - const [docName, title, anchor, descr, score, _filename] = item; - - let listItem = document.createElement("li"); - let requestUrl; - let linkUrl; - if (docBuilder === "dirhtml") { - // dirhtml builder - let dirname = docName + "/"; - if (dirname.match(/\/index\/$/)) - dirname = dirname.substring(0, dirname.length - 6); - else if (dirname === "index/") dirname = ""; - requestUrl = contentRoot + dirname; - linkUrl = requestUrl; - } else { - // normal html builders - requestUrl = contentRoot + docName + docFileSuffix; - linkUrl = docName + docLinkSuffix; - } - let linkEl = listItem.appendChild(document.createElement("a")); - linkEl.href = linkUrl + anchor; - linkEl.dataset.score = score; - linkEl.innerHTML = title; - if (descr) { - listItem.appendChild(document.createElement("span")).innerHTML = - " (" + descr + ")"; - // highlight search terms in the description - if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js - highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); - } - else if (showSearchSummary) - fetch(requestUrl) - .then((responseData) => responseData.text()) - .then((data) => { - if (data) - listItem.appendChild( - Search.makeSearchSummary(data, searchTerms, anchor) - ); - // highlight search terms in the summary - if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js - highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted")); - }); - Search.output.appendChild(listItem); -}; -const _finishSearch = (resultCount) => { - Search.stopPulse(); - Search.title.innerText = _("Search Results"); - if (!resultCount) - Search.status.innerText = Documentation.gettext( - "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories." - ); - else - Search.status.innerText = _( - "Search finished, found ${resultCount} page(s) matching the search query." - ).replace('${resultCount}', resultCount); -}; -const _displayNextItem = ( - results, - resultCount, - searchTerms, - highlightTerms, -) => { - // results left, load the summary and display it - // this is intended to be dynamic (don't sub resultsCount) - if (results.length) { - _displayItem(results.pop(), searchTerms, highlightTerms); - setTimeout( - () => _displayNextItem(results, resultCount, searchTerms, highlightTerms), - 5 - ); - } - // search finished, update title and status message - else _finishSearch(resultCount); -}; -// Helper function used by query() to order search results. -// Each input is an array of [docname, title, anchor, descr, score, filename]. -// Order the results by score (in opposite order of appearance, since the -// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically. -const _orderResultsByScoreThenName = (a, b) => { - const leftScore = a[4]; - const rightScore = b[4]; - if (leftScore === rightScore) { - // same score: sort alphabetically - const leftTitle = a[1].toLowerCase(); - const rightTitle = b[1].toLowerCase(); - if (leftTitle === rightTitle) return 0; - return leftTitle > rightTitle ? -1 : 1; // inverted is intentional - } - return leftScore > rightScore ? 1 : -1; -}; - -/** - * Default splitQuery function. Can be overridden in ``sphinx.search`` with a - * custom function per language. - * - * The regular expression works by splitting the string on consecutive characters - * that are not Unicode letters, numbers, underscores, or emoji characters. - * This is the same as ``\W+`` in Python, preserving the surrogate pair area. - */ -if (typeof splitQuery === "undefined") { - var splitQuery = (query) => query - .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu) - .filter(term => term) // remove remaining empty strings -} - -/** - * Search Module - */ -const Search = { - _index: null, - _queued_query: null, - _pulse_status: -1, - - htmlToText: (htmlString, anchor) => { - const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html'); - for (const removalQuery of [".headerlinks", "script", "style"]) { - htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() }); - } - if (anchor) { - const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`); - if (anchorContent) return anchorContent.textContent; - - console.warn( - `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.` - ); - } - - // if anchor not specified or not found, fall back to main content - const docContent = htmlElement.querySelector('[role="main"]'); - if (docContent) return docContent.textContent; - - console.warn( - "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template." - ); - return ""; - }, - - init: () => { - const query = new URLSearchParams(window.location.search).get("q"); - document - .querySelectorAll('input[name="q"]') - .forEach((el) => (el.value = query)); - if (query) Search.performSearch(query); - }, - - loadIndex: (url) => - (document.body.appendChild(document.createElement("script")).src = url), - - setIndex: (index) => { - Search._index = index; - if (Search._queued_query !== null) { - const query = Search._queued_query; - Search._queued_query = null; - Search.query(query); - } - }, - - hasIndex: () => Search._index !== null, - - deferQuery: (query) => (Search._queued_query = query), - - stopPulse: () => (Search._pulse_status = -1), - - startPulse: () => { - if (Search._pulse_status >= 0) return; - - const pulse = () => { - Search._pulse_status = (Search._pulse_status + 1) % 4; - Search.dots.innerText = ".".repeat(Search._pulse_status); - if (Search._pulse_status >= 0) window.setTimeout(pulse, 500); - }; - pulse(); - }, - - /** - * perform a search for something (or wait until index is loaded) - */ - performSearch: (query) => { - // create the required interface elements - const searchText = document.createElement("h2"); - searchText.textContent = _("Searching"); - const searchSummary = document.createElement("p"); - searchSummary.classList.add("search-summary"); - searchSummary.innerText = ""; - const searchList = document.createElement("ul"); - searchList.classList.add("search"); - - const out = document.getElementById("search-results"); - Search.title = out.appendChild(searchText); - Search.dots = Search.title.appendChild(document.createElement("span")); - Search.status = out.appendChild(searchSummary); - Search.output = out.appendChild(searchList); - - const searchProgress = document.getElementById("search-progress"); - // Some themes don't use the search progress node - if (searchProgress) { - searchProgress.innerText = _("Preparing search..."); - } - Search.startPulse(); - - // index already loaded, the browser was quick! - if (Search.hasIndex()) Search.query(query); - else Search.deferQuery(query); - }, - - _parseQuery: (query) => { - // stem the search terms and add them to the correct list - const stemmer = new Stemmer(); - const searchTerms = new Set(); - const excludedTerms = new Set(); - const highlightTerms = new Set(); - const objectTerms = new Set(splitQuery(query.toLowerCase().trim())); - splitQuery(query.trim()).forEach((queryTerm) => { - const queryTermLower = queryTerm.toLowerCase(); - - // maybe skip this "word" - // stopwords array is from language_data.js - if ( - stopwords.indexOf(queryTermLower) !== -1 || - queryTerm.match(/^\d+$/) - ) - return; - - // stem the word - let word = stemmer.stemWord(queryTermLower); - // select the correct list - if (word[0] === "-") excludedTerms.add(word.substr(1)); - else { - searchTerms.add(word); - highlightTerms.add(queryTermLower); - } - }); - - if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js - localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" ")) - } - - // console.debug("SEARCH: searching for:"); - // console.info("required: ", [...searchTerms]); - // console.info("excluded: ", [...excludedTerms]); - - return [query, searchTerms, excludedTerms, highlightTerms, objectTerms]; - }, - - /** - * execute search (requires search index to be loaded) - */ - _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => { - const filenames = Search._index.filenames; - const docNames = Search._index.docnames; - const titles = Search._index.titles; - const allTitles = Search._index.alltitles; - const indexEntries = Search._index.indexentries; - - // Collect multiple result groups to be sorted separately and then ordered. - // Each is an array of [docname, title, anchor, descr, score, filename]. - const normalResults = []; - const nonMainIndexResults = []; - - _removeChildren(document.getElementById("search-progress")); - - const queryLower = query.toLowerCase().trim(); - for (const [title, foundTitles] of Object.entries(allTitles)) { - if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) { - for (const [file, id] of foundTitles) { - let score = Math.round(100 * queryLower.length / title.length) - normalResults.push([ - docNames[file], - titles[file] !== title ? `${titles[file]} > ${title}` : title, - id !== null ? "#" + id : "", - null, - score, - filenames[file], - ]); - } - } - } - - // search for explicit entries in index directives - for (const [entry, foundEntries] of Object.entries(indexEntries)) { - if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) { - for (const [file, id, isMain] of foundEntries) { - const score = Math.round(100 * queryLower.length / entry.length); - const result = [ - docNames[file], - titles[file], - id ? "#" + id : "", - null, - score, - filenames[file], - ]; - if (isMain) { - normalResults.push(result); - } else { - nonMainIndexResults.push(result); - } - } - } - } - - // lookup as object - objectTerms.forEach((term) => - normalResults.push(...Search.performObjectSearch(term, objectTerms)) - ); - - // lookup as search terms in fulltext - normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms)); - - // let the scorer override scores with a custom scoring function - if (Scorer.score) { - normalResults.forEach((item) => (item[4] = Scorer.score(item))); - nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item))); - } - - // Sort each group of results by score and then alphabetically by name. - normalResults.sort(_orderResultsByScoreThenName); - nonMainIndexResults.sort(_orderResultsByScoreThenName); - - // Combine the result groups in (reverse) order. - // Non-main index entries are typically arbitrary cross-references, - // so display them after other results. - let results = [...nonMainIndexResults, ...normalResults]; - - // remove duplicate search results - // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept - let seen = new Set(); - results = results.reverse().reduce((acc, result) => { - let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(','); - if (!seen.has(resultStr)) { - acc.push(result); - seen.add(resultStr); - } - return acc; - }, []); - - return results.reverse(); - }, - - query: (query) => { - const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query); - const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms); - - // for debugging - //Search.lastresults = results.slice(); // a copy - // console.info("search results:", Search.lastresults); - - // print the results - _displayNextItem(results, results.length, searchTerms, highlightTerms); - }, - - /** - * search for object names - */ - performObjectSearch: (object, objectTerms) => { - const filenames = Search._index.filenames; - const docNames = Search._index.docnames; - const objects = Search._index.objects; - const objNames = Search._index.objnames; - const titles = Search._index.titles; - - const results = []; - - const objectSearchCallback = (prefix, match) => { - const name = match[4] - const fullname = (prefix ? prefix + "." : "") + name; - const fullnameLower = fullname.toLowerCase(); - if (fullnameLower.indexOf(object) < 0) return; - - let score = 0; - const parts = fullnameLower.split("."); - - // check for different match types: exact matches of full name or - // "last name" (i.e. last dotted part) - if (fullnameLower === object || parts.slice(-1)[0] === object) - score += Scorer.objNameMatch; - else if (parts.slice(-1)[0].indexOf(object) > -1) - score += Scorer.objPartialMatch; // matches in last name - - const objName = objNames[match[1]][2]; - const title = titles[match[0]]; - - // If more than one term searched for, we require other words to be - // found in the name/title/description - const otherTerms = new Set(objectTerms); - otherTerms.delete(object); - if (otherTerms.size > 0) { - const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase(); - if ( - [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0) - ) - return; - } - - let anchor = match[3]; - if (anchor === "") anchor = fullname; - else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname; - - const descr = objName + _(", in ") + title; - - // add custom score for some objects according to scorer - if (Scorer.objPrio.hasOwnProperty(match[2])) - score += Scorer.objPrio[match[2]]; - else score += Scorer.objPrioDefault; - - results.push([ - docNames[match[0]], - fullname, - "#" + anchor, - descr, - score, - filenames[match[0]], - ]); - }; - Object.keys(objects).forEach((prefix) => - objects[prefix].forEach((array) => - objectSearchCallback(prefix, array) - ) - ); - return results; - }, - - /** - * search for full-text terms in the index - */ - performTermsSearch: (searchTerms, excludedTerms) => { - // prepare search - const terms = Search._index.terms; - const titleTerms = Search._index.titleterms; - const filenames = Search._index.filenames; - const docNames = Search._index.docnames; - const titles = Search._index.titles; - - const scoreMap = new Map(); - const fileMap = new Map(); - - // perform the search on the required terms - searchTerms.forEach((word) => { - const files = []; - const arr = [ - { files: terms[word], score: Scorer.term }, - { files: titleTerms[word], score: Scorer.title }, - ]; - // add support for partial matches - if (word.length > 2) { - const escapedWord = _escapeRegExp(word); - if (!terms.hasOwnProperty(word)) { - Object.keys(terms).forEach((term) => { - if (term.match(escapedWord)) - arr.push({ files: terms[term], score: Scorer.partialTerm }); - }); - } - if (!titleTerms.hasOwnProperty(word)) { - Object.keys(titleTerms).forEach((term) => { - if (term.match(escapedWord)) - arr.push({ files: titleTerms[term], score: Scorer.partialTitle }); - }); - } - } - - // no match but word was a required one - if (arr.every((record) => record.files === undefined)) return; - - // found search word in contents - arr.forEach((record) => { - if (record.files === undefined) return; - - let recordFiles = record.files; - if (recordFiles.length === undefined) recordFiles = [recordFiles]; - files.push(...recordFiles); - - // set score for the word in each file - recordFiles.forEach((file) => { - if (!scoreMap.has(file)) scoreMap.set(file, {}); - scoreMap.get(file)[word] = record.score; - }); - }); - - // create the mapping - files.forEach((file) => { - if (!fileMap.has(file)) fileMap.set(file, [word]); - else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word); - }); - }); - - // now check if the files don't contain excluded terms - const results = []; - for (const [file, wordList] of fileMap) { - // check if all requirements are matched - - // as search terms with length < 3 are discarded - const filteredTermCount = [...searchTerms].filter( - (term) => term.length > 2 - ).length; - if ( - wordList.length !== searchTerms.size && - wordList.length !== filteredTermCount - ) - continue; - - // ensure that none of the excluded terms is in the search result - if ( - [...excludedTerms].some( - (term) => - terms[term] === file || - titleTerms[term] === file || - (terms[term] || []).includes(file) || - (titleTerms[term] || []).includes(file) - ) - ) - break; - - // select one (max) score for the file. - const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w])); - // add result to the result list - results.push([ - docNames[file], - titles[file], - "", - null, - score, - filenames[file], - ]); - } - return results; - }, - - /** - * helper function to return a node containing the - * search summary for a given text. keywords is a list - * of stemmed words. - */ - makeSearchSummary: (htmlText, keywords, anchor) => { - const text = Search.htmlToText(htmlText, anchor); - if (text === "") return null; - - const textLower = text.toLowerCase(); - const actualStartPosition = [...keywords] - .map((k) => textLower.indexOf(k.toLowerCase())) - .filter((i) => i > -1) - .slice(-1)[0]; - const startWithContext = Math.max(actualStartPosition - 120, 0); - - const top = startWithContext === 0 ? "" : "..."; - const tail = startWithContext + 240 < text.length ? "..." : ""; - - let summary = document.createElement("p"); - summary.classList.add("context"); - summary.textContent = top + text.substr(startWithContext, 240).trim() + tail; - - return summary; - }, -}; - -_ready(Search.init); diff --git a/docs/build/html/_static/skeleton.css b/docs/build/html/_static/skeleton.css deleted file mode 100644 index 467c878..0000000 --- a/docs/build/html/_static/skeleton.css +++ /dev/null @@ -1,296 +0,0 @@ -/* Some sane resets. */ -html { - height: 100%; -} - -body { - margin: 0; - min-height: 100%; -} - -/* All the flexbox magic! */ -body, -.sb-announcement, -.sb-content, -.sb-main, -.sb-container, -.sb-container__inner, -.sb-article-container, -.sb-footer-content, -.sb-header, -.sb-header-secondary, -.sb-footer { - display: flex; -} - -/* These order things vertically */ -body, -.sb-main, -.sb-article-container { - flex-direction: column; -} - -/* Put elements in the center */ -.sb-header, -.sb-header-secondary, -.sb-container, -.sb-content, -.sb-footer, -.sb-footer-content { - justify-content: center; -} -/* Put elements at the ends */ -.sb-article-container { - justify-content: space-between; -} - -/* These elements grow. */ -.sb-main, -.sb-content, -.sb-container, -article { - flex-grow: 1; -} - -/* Because padding making this wider is not fun */ -article { - box-sizing: border-box; -} - -/* The announcements element should never be wider than the page. */ -.sb-announcement { - max-width: 100%; -} - -.sb-sidebar-primary, -.sb-sidebar-secondary { - flex-shrink: 0; - width: 17rem; -} - -.sb-announcement__inner { - justify-content: center; - - box-sizing: border-box; - height: 3rem; - - overflow-x: auto; - white-space: nowrap; -} - -/* Sidebars, with checkbox-based toggle */ -.sb-sidebar-primary, -.sb-sidebar-secondary { - position: fixed; - height: 100%; - top: 0; -} - -.sb-sidebar-primary { - left: -17rem; - transition: left 250ms ease-in-out; -} -.sb-sidebar-secondary { - right: -17rem; - transition: right 250ms ease-in-out; -} - -.sb-sidebar-toggle { - display: none; -} -.sb-sidebar-overlay { - position: fixed; - top: 0; - width: 0; - height: 0; - - transition: width 0ms ease 250ms, height 0ms ease 250ms, opacity 250ms ease; - - opacity: 0; - background-color: rgba(0, 0, 0, 0.54); -} - -#sb-sidebar-toggle--primary:checked - ~ .sb-sidebar-overlay[for="sb-sidebar-toggle--primary"], -#sb-sidebar-toggle--secondary:checked - ~ .sb-sidebar-overlay[for="sb-sidebar-toggle--secondary"] { - width: 100%; - height: 100%; - opacity: 1; - transition: width 0ms ease, height 0ms ease, opacity 250ms ease; -} - -#sb-sidebar-toggle--primary:checked ~ .sb-container .sb-sidebar-primary { - left: 0; -} -#sb-sidebar-toggle--secondary:checked ~ .sb-container .sb-sidebar-secondary { - right: 0; -} - -/* Full-width mode */ -.drop-secondary-sidebar-for-full-width-content - .hide-when-secondary-sidebar-shown { - display: none !important; -} -.drop-secondary-sidebar-for-full-width-content .sb-sidebar-secondary { - display: none !important; -} - -/* Mobile views */ -.sb-page-width { - width: 100%; -} - -.sb-article-container, -.sb-footer-content__inner, -.drop-secondary-sidebar-for-full-width-content .sb-article, -.drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 100vw; -} - -.sb-article, -.match-content-width { - padding: 0 1rem; - box-sizing: border-box; -} - -@media (min-width: 32rem) { - .sb-article, - .match-content-width { - padding: 0 2rem; - } -} - -/* Tablet views */ -@media (min-width: 42rem) { - .sb-article-container { - width: auto; - } - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 42rem; - } - .sb-article, - .match-content-width { - width: 42rem; - } -} -@media (min-width: 46rem) { - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 46rem; - } - .sb-article, - .match-content-width { - width: 46rem; - } -} -@media (min-width: 50rem) { - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 50rem; - } - .sb-article, - .match-content-width { - width: 50rem; - } -} - -/* Tablet views */ -@media (min-width: 59rem) { - .sb-sidebar-secondary { - position: static; - } - .hide-when-secondary-sidebar-shown { - display: none !important; - } - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 59rem; - } - .sb-article, - .match-content-width { - width: 42rem; - } -} -@media (min-width: 63rem) { - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 63rem; - } - .sb-article, - .match-content-width { - width: 46rem; - } -} -@media (min-width: 67rem) { - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 67rem; - } - .sb-article, - .match-content-width { - width: 50rem; - } -} - -/* Desktop views */ -@media (min-width: 76rem) { - .sb-sidebar-primary { - position: static; - } - .hide-when-primary-sidebar-shown { - display: none !important; - } - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 59rem; - } - .sb-article, - .match-content-width { - width: 42rem; - } -} - -/* Full desktop views */ -@media (min-width: 80rem) { - .sb-article, - .match-content-width { - width: 46rem; - } - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 63rem; - } -} - -@media (min-width: 84rem) { - .sb-article, - .match-content-width { - width: 50rem; - } - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 67rem; - } -} - -@media (min-width: 88rem) { - .sb-footer-content__inner, - .drop-secondary-sidebar-for-full-width-content .sb-article, - .drop-secondary-sidebar-for-full-width-content .match-content-width { - width: 67rem; - } - .sb-page-width { - width: 88rem; - } -} diff --git a/docs/build/html/_static/sphinx_highlight.js b/docs/build/html/_static/sphinx_highlight.js deleted file mode 100644 index 8a96c69..0000000 --- a/docs/build/html/_static/sphinx_highlight.js +++ /dev/null @@ -1,154 +0,0 @@ -/* Highlighting utilities for Sphinx HTML documentation. */ -"use strict"; - -const SPHINX_HIGHLIGHT_ENABLED = true - -/** - * highlight a given string on a node by wrapping it in - * span elements with the given class name. - */ -const _highlight = (node, addItems, text, className) => { - if (node.nodeType === Node.TEXT_NODE) { - const val = node.nodeValue; - const parent = node.parentNode; - const pos = val.toLowerCase().indexOf(text); - if ( - pos >= 0 && - !parent.classList.contains(className) && - !parent.classList.contains("nohighlight") - ) { - let span; - - const closestNode = parent.closest("body, svg, foreignObject"); - const isInSVG = closestNode && closestNode.matches("svg"); - if (isInSVG) { - span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); - } else { - span = document.createElement("span"); - span.classList.add(className); - } - - span.appendChild(document.createTextNode(val.substr(pos, text.length))); - const rest = document.createTextNode(val.substr(pos + text.length)); - parent.insertBefore( - span, - parent.insertBefore( - rest, - node.nextSibling - ) - ); - node.nodeValue = val.substr(0, pos); - /* There may be more occurrences of search term in this node. So call this - * function recursively on the remaining fragment. - */ - _highlight(rest, addItems, text, className); - - if (isInSVG) { - const rect = document.createElementNS( - "http://www.w3.org/2000/svg", - "rect" - ); - const bbox = parent.getBBox(); - rect.x.baseVal.value = bbox.x; - rect.y.baseVal.value = bbox.y; - rect.width.baseVal.value = bbox.width; - rect.height.baseVal.value = bbox.height; - rect.setAttribute("class", className); - addItems.push({ parent: parent, target: rect }); - } - } - } else if (node.matches && !node.matches("button, select, textarea")) { - node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); - } -}; -const _highlightText = (thisNode, text, className) => { - let addItems = []; - _highlight(thisNode, addItems, text, className); - addItems.forEach((obj) => - obj.parent.insertAdjacentElement("beforebegin", obj.target) - ); -}; - -/** - * Small JavaScript module for the documentation. - */ -const SphinxHighlight = { - - /** - * highlight the search words provided in localstorage in the text - */ - highlightSearchWords: () => { - if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight - - // get and clear terms from localstorage - const url = new URL(window.location); - const highlight = - localStorage.getItem("sphinx_highlight_terms") - || url.searchParams.get("highlight") - || ""; - localStorage.removeItem("sphinx_highlight_terms") - url.searchParams.delete("highlight"); - window.history.replaceState({}, "", url); - - // get individual terms from highlight string - const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); - if (terms.length === 0) return; // nothing to do - - // There should never be more than one element matching "div.body" - const divBody = document.querySelectorAll("div.body"); - const body = divBody.length ? divBody[0] : document.querySelector("body"); - window.setTimeout(() => { - terms.forEach((term) => _highlightText(body, term, "highlighted")); - }, 10); - - const searchBox = document.getElementById("searchbox"); - if (searchBox === null) return; - searchBox.appendChild( - document - .createRange() - .createContextualFragment( - '

    " - ) - ); - }, - - /** - * helper function to hide the search marks again - */ - hideSearchWords: () => { - document - .querySelectorAll("#searchbox .highlight-link") - .forEach((el) => el.remove()); - document - .querySelectorAll("span.highlighted") - .forEach((el) => el.classList.remove("highlighted")); - localStorage.removeItem("sphinx_highlight_terms") - }, - - initEscapeListener: () => { - // only install a listener if it is really needed - if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return; - - document.addEventListener("keydown", (event) => { - // bail for input elements - if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return; - // bail with special keys - if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return; - if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) { - SphinxHighlight.hideSearchWords(); - event.preventDefault(); - } - }); - }, -}; - -_ready(() => { - /* Do not call highlightSearchWords() when we are on the search page. - * It will highlight words from the *previous* search query. - */ - if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords(); - SphinxHighlight.initEscapeListener(); -}); diff --git a/docs/build/html/_static/styles/furo-extensions.css b/docs/build/html/_static/styles/furo-extensions.css deleted file mode 100644 index 8229587..0000000 --- a/docs/build/html/_static/styles/furo-extensions.css +++ /dev/null @@ -1,2 +0,0 @@ -#furo-sidebar-ad-placement{padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}#furo-sidebar-ad-placement .ethical-sidebar{background:var(--color-background-secondary);border:none;box-shadow:none}#furo-sidebar-ad-placement .ethical-sidebar:hover{background:var(--color-background-hover)}#furo-sidebar-ad-placement .ethical-sidebar a{color:var(--color-foreground-primary)}#furo-sidebar-ad-placement .ethical-callout 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svg{padding:0}body{--sd-color-primary:var(--color-brand-primary);--sd-color-primary-highlight:var(--color-brand-content);--sd-color-primary-text:var(--color-background-primary);--sd-color-shadow:rgba(0,0,0,.05);--sd-color-card-border:var(--color-card-border);--sd-color-card-border-hover:var(--color-brand-content);--sd-color-card-background:var(--color-card-background);--sd-color-card-text:var(--color-foreground-primary);--sd-color-card-header:var(--color-card-marginals-background);--sd-color-card-footer:var(--color-card-marginals-background);--sd-color-tabs-label-active:var(--color-brand-content);--sd-color-tabs-label-hover:var(--color-foreground-muted);--sd-color-tabs-label-inactive:var(--color-foreground-muted);--sd-color-tabs-underline-active:var(--color-brand-content);--sd-color-tabs-underline-hover:var(--color-foreground-border);--sd-color-tabs-underline-inactive:var(--color-background-border);--sd-color-tabs-overline:var(--color-background-border);--sd-color-tabs-underline:var(--color-background-border)}.sd-tab-content{box-shadow:0 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Remove the inheritance of text transform in Firefox.\n */\n\nbutton,\nselect { /* 1 */\n text-transform: none;\n}\n\n/**\n * Correct the inability to style clickable types in iOS and Safari.\n */\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n -webkit-appearance: button;\n}\n\n/**\n * Remove the inner border and padding in Firefox.\n */\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n border-style: none;\n padding: 0;\n}\n\n/**\n * Restore the focus styles unset by the previous rule.\n */\n\nbutton:-moz-focusring,\n[type=\"button\"]:-moz-focusring,\n[type=\"reset\"]:-moz-focusring,\n[type=\"submit\"]:-moz-focusring {\n outline: 1px dotted ButtonText;\n}\n\n/**\n * Correct the padding in Firefox.\n */\n\nfieldset {\n padding: 0.35em 0.75em 0.625em;\n}\n\n/**\n * 1. Correct the text wrapping in Edge and IE.\n * 2. Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n * `fieldset` elements in all browsers.\n */\n\nlegend {\n box-sizing: border-box; /* 1 */\n color: inherit; /* 2 */\n display: table; /* 1 */\n max-width: 100%; /* 1 */\n padding: 0; /* 3 */\n white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n box-sizing: border-box; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n -webkit-appearance: textfield; /* 1 */\n outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n -webkit-appearance: button; /* 1 */\n font: inherit; /* 2 */\n}\n\n/* Interactive\n ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n display: list-item;\n}\n\n/* Misc\n ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n display: none;\n}\n","// This file contains styles for managing print media.\n\n////////////////////////////////////////////////////////////////////////////////\n// Hide elements not relevant to print media.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n // Hide icon container.\n .content-icon-container\n display: none !important\n\n // Hide showing header links if hovering over when printing.\n .headerlink\n display: none !important\n\n // Hide mobile header.\n .mobile-header\n display: none !important\n\n // Hide navigation links.\n .related-pages\n display: none !important\n\n////////////////////////////////////////////////////////////////////////////////\n// Tweaks related to decolorization.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n // Apply a border around code which no longer have a color background.\n .highlight\n border: 0.1pt solid var(--color-foreground-border)\n\n////////////////////////////////////////////////////////////////////////////////\n// Avoid page break in some relevant cases.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n ul, ol, dl, a, table, pre, blockquote, p\n page-break-inside: avoid\n\n h1, h2, h3, h4, h5, h6, img, figure, caption\n page-break-inside: avoid\n page-break-after: avoid\n\n ul, ol, dl\n page-break-before: avoid\n",".visually-hidden\n position: absolute !important\n width: 1px !important\n height: 1px !important\n padding: 0 !important\n margin: -1px !important\n overflow: hidden !important\n clip: rect(0,0,0,0) !important\n white-space: nowrap !important\n border: 0 !important\n color: var(--color-foreground-primary)\n background: var(--color-background-primary)\n\n:-moz-focusring\n outline: auto\n","// This file serves as the \"skeleton\" of the theming logic.\n//\n// This contains the bulk of the logic for handling dark mode, color scheme\n// toggling and the handling of color-scheme-specific hiding of elements.\n\nbody\n @include fonts\n @include spacing\n @include icons\n @include admonitions\n @include default-admonition(#651fff, \"abstract\")\n @include default-topic(#14B8A6, \"pencil\")\n\n @include colors\n\n.only-light\n display: block !important\nhtml body .only-dark\n display: none !important\n\n// Ignore dark-mode hints if print media.\n@media not print\n // Enable dark-mode, if requested.\n body[data-theme=\"dark\"]\n @include colors-dark\n\n html & .only-light\n display: none !important\n .only-dark\n display: block !important\n\n // Enable dark mode, unless explicitly told to avoid.\n @media (prefers-color-scheme: dark)\n body:not([data-theme=\"light\"])\n @include colors-dark\n\n html & .only-light\n display: none !important\n .only-dark\n display: block !important\n\n//\n// Theme toggle presentation\n//\nbody[data-theme=\"auto\"]\n .theme-toggle svg.theme-icon-when-auto-light\n display: block\n\n @media (prefers-color-scheme: dark)\n .theme-toggle svg.theme-icon-when-auto-dark\n display: block\n .theme-toggle svg.theme-icon-when-auto-light\n display: none\n\nbody[data-theme=\"dark\"]\n .theme-toggle svg.theme-icon-when-dark\n display: block\n\nbody[data-theme=\"light\"]\n .theme-toggle svg.theme-icon-when-light\n display: block\n","// Fonts used by this theme.\n//\n// There are basically two things here -- using the system font stack and\n// defining sizes for various elements in %ages. We could have also used `em`\n// but %age is easier to reason about for me.\n\n@mixin fonts {\n // These are adapted from https://systemfontstack.com/\n --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n sans-serif, Apple Color Emoji, Segoe UI Emoji;\n --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n Liberation Mono, Lucida Console, monospace;\n --font-stack--headings: var(--font-stack);\n\n --font-size--normal: 100%;\n --font-size--small: 87.5%;\n --font-size--small--2: 81.25%;\n --font-size--small--3: 75%;\n --font-size--small--4: 62.5%;\n\n // Sidebar\n --sidebar-caption-font-size: var(--font-size--small--2);\n --sidebar-item-font-size: var(--font-size--small);\n --sidebar-search-input-font-size: var(--font-size--small);\n\n // Table of Contents\n --toc-font-size: var(--font-size--small--3);\n --toc-font-size--mobile: var(--font-size--normal);\n --toc-title-font-size: var(--font-size--small--4);\n\n // Admonitions\n //\n // These aren't defined in terms of %ages, since nesting these is permitted.\n --admonition-font-size: 0.8125rem;\n --admonition-title-font-size: 0.8125rem;\n\n // Code\n --code-font-size: var(--font-size--small--2);\n\n // API\n --api-font-size: var(--font-size--small);\n}\n","// Spacing for various elements on the page\n//\n// If the user wants to tweak things in a certain way, they are permitted to.\n// They also have to deal with the consequences though!\n\n@mixin spacing {\n // Header!\n --header-height: calc(\n var(--sidebar-item-line-height) + 4 * #{var(--sidebar-item-spacing-vertical)}\n );\n --header-padding: 0.5rem;\n\n // Sidebar\n --sidebar-tree-space-above: 1.5rem;\n --sidebar-caption-space-above: 1rem;\n\n --sidebar-item-line-height: 1rem;\n --sidebar-item-spacing-vertical: 0.5rem;\n --sidebar-item-spacing-horizontal: 1rem;\n --sidebar-item-height: calc(\n var(--sidebar-item-line-height) + 2 *#{var(--sidebar-item-spacing-vertical)}\n );\n\n --sidebar-expander-width: var(--sidebar-item-height); // be square\n\n --sidebar-search-space-above: 0.5rem;\n --sidebar-search-input-spacing-vertical: 0.5rem;\n --sidebar-search-input-spacing-horizontal: 0.5rem;\n --sidebar-search-input-height: 1rem;\n --sidebar-search-icon-size: var(--sidebar-search-input-height);\n\n // Table of Contents\n --toc-title-padding: 0.25rem 0;\n --toc-spacing-vertical: 1.5rem;\n --toc-spacing-horizontal: 1.5rem;\n --toc-item-spacing-vertical: 0.4rem;\n --toc-item-spacing-horizontal: 1rem;\n}\n","// Expose theme icons as CSS variables.\n\n$icons: (\n // Adapted from tabler-icons\n // url: https://tablericons.com/\n \"search\":\n url('data:image/svg+xml;charset=utf-8,'),\n // Factored out from mkdocs-material on 24-Aug-2020.\n // url: https://squidfunk.github.io/mkdocs-material/reference/admonitions/\n \"pencil\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"abstract\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"info\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"flame\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"question\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"warning\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"failure\":\n url('data:image/svg+xml;charset=utf-8,'),\n \"spark\":\n url('data:image/svg+xml;charset=utf-8,')\n);\n\n@mixin icons {\n @each $name, $glyph in $icons {\n --icon-#{$name}: #{$glyph};\n }\n}\n","// Admonitions\n\n// Structure of these is:\n// admonition-class: color \"icon-name\";\n//\n// The colors are translated into CSS variables below. The icons are\n// used directly in the main declarations to set the `mask-image` in\n// the title.\n\n// prettier-ignore\n$admonitions: (\n // Each of these has an reST directives for it.\n \"caution\": #ff9100 \"spark\",\n \"warning\": #ff9100 \"warning\",\n \"danger\": #ff5252 \"spark\",\n \"attention\": #ff5252 \"warning\",\n \"error\": #ff5252 \"failure\",\n \"hint\": #00c852 \"question\",\n \"tip\": #00c852 \"info\",\n \"important\": #00bfa5 \"flame\",\n \"note\": #00b0ff \"pencil\",\n \"seealso\": #448aff \"info\",\n \"admonition-todo\": #808080 \"pencil\"\n);\n\n@mixin default-admonition($color, $icon-name) {\n --color-admonition-title: #{$color};\n --color-admonition-title-background: #{rgba($color, 0.2)};\n\n --icon-admonition-default: var(--icon-#{$icon-name});\n}\n\n@mixin default-topic($color, $icon-name) {\n --color-topic-title: #{$color};\n --color-topic-title-background: #{rgba($color, 0.2)};\n\n --icon-topic-default: var(--icon-#{$icon-name});\n}\n\n@mixin admonitions {\n @each $name, $values in $admonitions {\n --color-admonition-title--#{$name}: #{nth($values, 1)};\n --color-admonition-title-background--#{$name}: #{rgba(\n nth($values, 1),\n 0.2\n )};\n }\n}\n","// Colors used throughout this theme.\n//\n// The aim is to give the user more control. Thus, instead of hard-coding colors\n// in various parts of the stylesheet, the approach taken is to define all\n// colors as CSS variables and reusing them in all the places.\n//\n// `colors-dark` depends on `colors` being included at a lower specificity.\n\n@mixin colors {\n --color-problematic: #b30000;\n\n // Base Colors\n --color-foreground-primary: black; // for main text and headings\n --color-foreground-secondary: #5a5c63; // for secondary text\n --color-foreground-muted: #6b6f76; // for muted text\n --color-foreground-border: #878787; // for content borders\n\n --color-background-primary: white; // for content\n --color-background-secondary: #f8f9fb; // for navigation + ToC\n --color-background-hover: #efeff4ff; // for navigation-item hover\n --color-background-hover--transparent: #efeff400;\n --color-background-border: #eeebee; // for UI borders\n --color-background-item: #ccc; // for \"background\" items (eg: copybutton)\n\n // Announcements\n --color-announcement-background: #000000dd;\n --color-announcement-text: #eeebee;\n\n // Brand colors\n --color-brand-primary: #0a4bff;\n --color-brand-content: #2757dd;\n --color-brand-visited: #872ee0;\n\n // API documentation\n --color-api-background: var(--color-background-hover--transparent);\n --color-api-background-hover: var(--color-background-hover);\n --color-api-overall: var(--color-foreground-secondary);\n --color-api-name: var(--color-problematic);\n --color-api-pre-name: var(--color-problematic);\n --color-api-paren: var(--color-foreground-secondary);\n --color-api-keyword: var(--color-foreground-primary);\n\n --color-api-added: #21632c;\n --color-api-added-border: #38a84d;\n --color-api-changed: #046172;\n --color-api-changed-border: #06a1bc;\n --color-api-deprecated: #605706;\n --color-api-deprecated-border: #f0d90f;\n --color-api-removed: #b30000;\n --color-api-removed-border: #ff5c5c;\n\n --color-highlight-on-target: #ffffcc;\n\n // Inline code background\n --color-inline-code-background: var(--color-background-secondary);\n\n // Highlighted text (search)\n --color-highlighted-background: #ddeeff;\n --color-highlighted-text: var(--color-foreground-primary);\n\n // GUI Labels\n --color-guilabel-background: #ddeeff80;\n --color-guilabel-border: #bedaf580;\n --color-guilabel-text: var(--color-foreground-primary);\n\n // Admonitions!\n --color-admonition-background: transparent;\n\n //////////////////////////////////////////////////////////////////////////////\n // Everything below this should be one of:\n // - var(...)\n // - *-gradient(...)\n // - special literal values (eg: transparent, none)\n //////////////////////////////////////////////////////////////////////////////\n\n // Tables\n --color-table-header-background: var(--color-background-secondary);\n --color-table-border: var(--color-background-border);\n\n // Cards\n --color-card-border: var(--color-background-secondary);\n --color-card-background: transparent;\n --color-card-marginals-background: var(--color-background-secondary);\n\n // Header\n --color-header-background: var(--color-background-primary);\n --color-header-border: var(--color-background-border);\n --color-header-text: var(--color-foreground-primary);\n\n // Sidebar (left)\n --color-sidebar-background: var(--color-background-secondary);\n --color-sidebar-background-border: var(--color-background-border);\n\n --color-sidebar-brand-text: var(--color-foreground-primary);\n --color-sidebar-caption-text: var(--color-foreground-muted);\n --color-sidebar-link-text: var(--color-foreground-secondary);\n --color-sidebar-link-text--top-level: var(--color-brand-primary);\n\n --color-sidebar-item-background: var(--color-sidebar-background);\n --color-sidebar-item-background--current: var(\n --color-sidebar-item-background\n );\n --color-sidebar-item-background--hover: linear-gradient(\n 90deg,\n var(--color-background-hover--transparent) 0%,\n var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n var(--color-background-hover) 100%\n );\n\n --color-sidebar-item-expander-background: transparent;\n --color-sidebar-item-expander-background--hover: var(\n --color-background-hover\n );\n\n --color-sidebar-search-text: var(--color-foreground-primary);\n --color-sidebar-search-background: var(--color-background-secondary);\n --color-sidebar-search-background--focus: var(--color-background-primary);\n --color-sidebar-search-border: var(--color-background-border);\n --color-sidebar-search-icon: var(--color-foreground-muted);\n\n // Table of Contents (right)\n --color-toc-background: var(--color-background-primary);\n --color-toc-title-text: var(--color-foreground-muted);\n --color-toc-item-text: var(--color-foreground-secondary);\n --color-toc-item-text--hover: var(--color-foreground-primary);\n --color-toc-item-text--active: var(--color-brand-primary);\n\n // Actual page contents\n --color-content-foreground: var(--color-foreground-primary);\n --color-content-background: transparent;\n\n // Links\n --color-link: var(--color-brand-content);\n --color-link-underline: var(--color-background-border);\n --color-link--hover: var(--color-brand-content);\n --color-link-underline--hover: var(--color-foreground-border);\n\n --color-link--visited: var(--color-brand-visited);\n --color-link-underline--visited: var(--color-background-border);\n --color-link--visited--hover: var(--color-brand-visited);\n --color-link-underline--visited--hover: var(--color-foreground-border);\n}\n\n@mixin colors-dark {\n --color-problematic: #ee5151;\n\n // Base Colors\n --color-foreground-primary: #cfd0d0; // for main text and headings\n --color-foreground-secondary: #9ca0a5; // for secondary text\n --color-foreground-muted: #81868d; // for muted text\n --color-foreground-border: #666666; // for content borders\n\n --color-background-primary: #131416; // for content\n --color-background-secondary: #1a1c1e; // for navigation + ToC\n --color-background-hover: #1e2124ff; // for navigation-item hover\n --color-background-hover--transparent: #1e212400;\n --color-background-border: #303335; // for UI borders\n --color-background-item: #444; // for \"background\" items (eg: copybutton)\n\n // Announcements\n --color-announcement-background: #000000dd;\n --color-announcement-text: #eeebee;\n\n // Brand colors\n --color-brand-primary: #3d94ff;\n --color-brand-content: #5ca5ff;\n --color-brand-visited: #b27aeb;\n\n // Highlighted text (search)\n --color-highlighted-background: #083563;\n\n // GUI Labels\n --color-guilabel-background: #08356380;\n --color-guilabel-border: #13395f80;\n\n // API documentation\n --color-api-keyword: var(--color-foreground-secondary);\n --color-highlight-on-target: #333300;\n\n --color-api-added: #3db854;\n --color-api-added-border: #267334;\n --color-api-changed: #09b0ce;\n --color-api-changed-border: #056d80;\n --color-api-deprecated: #b1a10b;\n --color-api-deprecated-border: #6e6407;\n --color-api-removed: #ff7575;\n --color-api-removed-border: #b03b3b;\n\n // Admonitions\n --color-admonition-background: #18181a;\n\n // Cards\n --color-card-border: var(--color-background-secondary);\n --color-card-background: #18181a;\n --color-card-marginals-background: var(--color-background-hover);\n}\n","// This file contains the styling for making the content throughout the page,\n// including fonts, paragraphs, headings and spacing among these elements.\n\nbody\n font-family: var(--font-stack)\npre,\ncode,\nkbd,\nsamp\n font-family: var(--font-stack--monospace)\n\n// Make fonts look slightly nicer.\nbody\n -webkit-font-smoothing: antialiased\n -moz-osx-font-smoothing: grayscale\n\n// Line height from Bootstrap 4.1\narticle\n line-height: 1.5\n\n//\n// Headings\n//\nh1,\nh2,\nh3,\nh4,\nh5,\nh6\n line-height: 1.25\n font-family: var(--font-stack--headings)\n font-weight: bold\n\n border-radius: 0.5rem\n margin-top: 0.5rem\n margin-bottom: 0.5rem\n margin-left: -0.5rem\n margin-right: -0.5rem\n padding-left: 0.5rem\n padding-right: 0.5rem\n\n + p\n margin-top: 0\n\nh1\n font-size: 2.5em\n margin-top: 1.75rem\n margin-bottom: 1rem\nh2\n font-size: 2em\n margin-top: 1.75rem\nh3\n font-size: 1.5em\nh4\n font-size: 1.25em\nh5\n font-size: 1.125em\nh6\n font-size: 1em\n\nsmall\n opacity: 75%\n font-size: 80%\n\n// Paragraph\np\n margin-top: 0.5rem\n margin-bottom: 0.75rem\n\n// Horizontal rules\nhr.docutils\n height: 1px\n padding: 0\n margin: 2rem 0\n background-color: var(--color-background-border)\n border: 0\n\n.centered\n text-align: center\n\n// Links\na\n text-decoration: underline\n\n color: var(--color-link)\n text-decoration-color: var(--color-link-underline)\n\n &:visited\n color: var(--color-link--visited)\n text-decoration-color: var(--color-link-underline--visited)\n &:hover\n color: var(--color-link--visited--hover)\n text-decoration-color: var(--color-link-underline--visited--hover)\n\n &:hover\n color: var(--color-link--hover)\n text-decoration-color: var(--color-link-underline--hover)\n &.muted-link\n color: inherit\n &:hover\n color: var(--color-link--hover)\n text-decoration-color: var(--color-link-underline--hover)\n &:visited\n color: var(--color-link--visited--hover)\n text-decoration-color: var(--color-link-underline--visited--hover)\n","// This file contains the styles for the overall layouting of the documentation\n// skeleton, including the responsive changes as well as sidebar toggles.\n//\n// This is implemented as a mobile-last design, which isn't ideal, but it is\n// reasonably good-enough and I got pretty tired by the time I'd finished this\n// to move the rules around to fix this. Shouldn't take more than 3-4 hours,\n// if you know what you're doing tho.\n\n// HACK: Not all browsers account for the scrollbar width in media queries.\n// This results in horizontal scrollbars in the breakpoint where we go\n// from displaying everything to hiding the ToC. We accomodate for this by\n// adding a bit of padding to the TOC drawer, disabling the horizontal\n// scrollbar and allowing the scrollbars to cover the padding.\n// https://www.456bereastreet.com/archive/201301/media_query_width_and_vertical_scrollbars/\n\n// HACK: Always having the scrollbar visible, prevents certain browsers from\n// causing the content to stutter horizontally between taller-than-viewport and\n// not-taller-than-viewport pages.\n\nhtml\n overflow-x: hidden\n overflow-y: scroll\n scroll-behavior: smooth\n\n.sidebar-scroll, .toc-scroll, article[role=main] *\n // Override Firefox scrollbar style\n scrollbar-width: thin\n scrollbar-color: var(--color-foreground-border) transparent\n\n // Override Chrome scrollbar styles\n &::-webkit-scrollbar\n width: 0.25rem\n height: 0.25rem\n &::-webkit-scrollbar-thumb\n background-color: var(--color-foreground-border)\n border-radius: 0.125rem\n\n//\n// Overalls\n//\nhtml,\nbody\n height: 100%\n color: var(--color-foreground-primary)\n background: var(--color-background-primary)\n\n.skip-to-content\n position: fixed\n padding: 1rem\n border-radius: 1rem\n left: 0.25rem\n top: 0.25rem\n z-index: 40\n background: var(--color-background-primary)\n color: var(--color-foreground-primary)\n\n transform: translateY(-200%)\n transition: transform 300ms ease-in-out\n\n &:focus-within\n transform: translateY(0%)\n\narticle\n color: var(--color-content-foreground)\n background: var(--color-content-background)\n overflow-wrap: break-word\n\n.page\n display: flex\n // fill the viewport for pages with little content.\n min-height: 100%\n\n.mobile-header\n width: 100%\n height: var(--header-height)\n background-color: var(--color-header-background)\n color: var(--color-header-text)\n border-bottom: 1px solid var(--color-header-border)\n\n // Looks like sub-script/super-script have this, and we need this to\n // be \"on top\" of those.\n z-index: 10\n\n // We don't show the header on large screens.\n display: none\n\n // Add shadow when scrolled\n &.scrolled\n border-bottom: none\n box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2)\n\n .header-center\n a\n color: var(--color-header-text)\n text-decoration: none\n\n.main\n display: flex\n flex: 1\n\n// Sidebar (left) also covers the entire left portion of screen.\n.sidebar-drawer\n box-sizing: border-box\n\n border-right: 1px solid var(--color-sidebar-background-border)\n background: var(--color-sidebar-background)\n\n display: flex\n justify-content: flex-end\n // These next two lines took me two days to figure out.\n width: calc((100% - #{$full-width}) / 2 + #{$sidebar-width})\n min-width: $sidebar-width\n\n// Scroll-along sidebars\n.sidebar-container,\n.toc-drawer\n box-sizing: border-box\n width: $sidebar-width\n\n.toc-drawer\n background: var(--color-toc-background)\n // See HACK described on top of this document\n padding-right: 1rem\n\n.sidebar-sticky,\n.toc-sticky\n position: sticky\n top: 0\n height: min(100%, 100vh)\n height: 100vh\n\n display: flex\n flex-direction: column\n\n.sidebar-scroll,\n.toc-scroll\n flex-grow: 1\n flex-shrink: 1\n\n overflow: auto\n scroll-behavior: smooth\n\n// Central items.\n.content\n padding: 0 $content-padding\n width: $content-width\n\n display: flex\n flex-direction: column\n justify-content: space-between\n\n.icon\n display: inline-block\n height: 1rem\n width: 1rem\n svg\n width: 100%\n height: 100%\n\n//\n// Accommodate announcement banner\n//\n.announcement\n background-color: var(--color-announcement-background)\n color: var(--color-announcement-text)\n\n height: var(--header-height)\n display: flex\n align-items: center\n overflow-x: auto\n & + .page\n min-height: calc(100% - var(--header-height))\n\n.announcement-content\n box-sizing: border-box\n padding: 0.5rem\n min-width: 100%\n white-space: nowrap\n text-align: center\n\n a\n color: var(--color-announcement-text)\n text-decoration-color: var(--color-announcement-text)\n\n &:hover\n color: var(--color-announcement-text)\n text-decoration-color: var(--color-link--hover)\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for theme\n////////////////////////////////////////////////////////////////////////////////\n.no-js .theme-toggle-container // don't show theme toggle if there's no JS\n display: none\n\n.theme-toggle-container\n display: flex\n\n.theme-toggle\n display: flex\n cursor: pointer\n border: none\n padding: 0\n background: transparent\n\n.theme-toggle svg\n height: 1.25rem\n width: 1.25rem\n color: var(--color-foreground-primary)\n display: none\n\n.theme-toggle-header\n display: flex\n align-items: center\n justify-content: center\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for elements\n////////////////////////////////////////////////////////////////////////////////\n.toc-overlay-icon, .nav-overlay-icon\n display: none\n cursor: pointer\n\n .icon\n color: var(--color-foreground-secondary)\n height: 1.5rem\n width: 1.5rem\n\n.toc-header-icon, .nav-overlay-icon\n // for when we set display: flex\n justify-content: center\n align-items: center\n\n.toc-content-icon\n height: 1.5rem\n width: 1.5rem\n\n.content-icon-container\n float: right\n display: flex\n margin-top: 1.5rem\n margin-left: 1rem\n margin-bottom: 1rem\n gap: 0.5rem\n\n .edit-this-page, .view-this-page\n svg\n color: inherit\n height: 1.25rem\n width: 1.25rem\n\n.sidebar-toggle\n position: absolute\n display: none\n// \n.sidebar-toggle[name=\"__toc\"]\n left: 20px\n.sidebar-toggle:checked\n left: 40px\n// \n\n.overlay\n position: fixed\n top: 0\n width: 0\n height: 0\n\n transition: width 0ms, height 0ms, opacity 250ms ease-out\n\n opacity: 0\n background-color: rgba(0, 0, 0, 0.54)\n.sidebar-overlay\n z-index: 20\n.toc-overlay\n z-index: 40\n\n// Keep things on top and smooth.\n.sidebar-drawer\n z-index: 30\n transition: left 250ms ease-in-out\n.toc-drawer\n z-index: 50\n transition: right 250ms ease-in-out\n\n// Show the Sidebar\n#__navigation:checked\n & ~ .sidebar-overlay\n width: 100%\n height: 100%\n opacity: 1\n & ~ .page\n .sidebar-drawer\n top: 0\n left: 0\n // Show the toc sidebar\n#__toc:checked\n & ~ .toc-overlay\n width: 100%\n height: 100%\n opacity: 1\n & ~ .page\n .toc-drawer\n top: 0\n right: 0\n\n////////////////////////////////////////////////////////////////////////////////\n// Back to top\n////////////////////////////////////////////////////////////////////////////////\n.back-to-top\n text-decoration: none\n\n display: none\n position: fixed\n left: 0\n top: 1rem\n padding: 0.5rem\n padding-right: 0.75rem\n border-radius: 1rem\n font-size: 0.8125rem\n\n background: var(--color-background-primary)\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), #6b728080 0px 0px 1px 0px\n\n z-index: 10\n\n margin-left: 50%\n transform: translateX(-50%)\n svg\n height: 1rem\n width: 1rem\n fill: currentColor\n display: inline-block\n\n span\n margin-left: 0.25rem\n\n .show-back-to-top &\n display: flex\n align-items: center\n\n////////////////////////////////////////////////////////////////////////////////\n// Responsive layouting\n////////////////////////////////////////////////////////////////////////////////\n// Make things a bit bigger on bigger screens.\n@media (min-width: $full-width + $sidebar-width)\n html\n font-size: 110%\n\n@media (max-width: $full-width)\n // Collapse \"toc\" into the icon.\n .toc-content-icon\n display: flex\n .toc-drawer\n position: fixed\n height: 100vh\n top: 0\n right: -$sidebar-width\n border-left: 1px solid var(--color-background-muted)\n .toc-tree\n border-left: none\n font-size: var(--toc-font-size--mobile)\n\n // Accomodate for a changed content width.\n .sidebar-drawer\n width: calc((100% - #{$full-width - $sidebar-width}) / 2 + #{$sidebar-width})\n\n@media (max-width: $content-padded-width + $sidebar-width)\n // Center the page\n .content\n margin-left: auto\n margin-right: auto\n padding: 0 $content-padding--small\n\n@media (max-width: $content-padded-width--small + $sidebar-width)\n // Collapse \"navigation\".\n .nav-overlay-icon\n display: flex\n .sidebar-drawer\n position: fixed\n height: 100vh\n width: $sidebar-width\n\n top: 0\n left: -$sidebar-width\n\n // Swap which icon is visible.\n .toc-header-icon, .theme-toggle-header\n display: flex\n .toc-content-icon, .theme-toggle-content\n display: none\n\n // Show the header.\n .mobile-header\n position: sticky\n top: 0\n display: flex\n justify-content: space-between\n align-items: center\n\n .header-left,\n .header-right\n display: flex\n height: var(--header-height)\n padding: 0 var(--header-padding)\n label\n height: 100%\n width: 100%\n user-select: none\n\n .nav-overlay-icon .icon,\n .theme-toggle svg\n height: 1.5rem\n width: 1.5rem\n\n // Add a scroll margin for the content\n :target\n scroll-margin-top: calc(var(--header-height) + 2.5rem)\n\n // Show back-to-top below the header\n .back-to-top\n top: calc(var(--header-height) + 0.5rem)\n\n // Accommodate for the header.\n .page\n flex-direction: column\n justify-content: center\n\n@media (max-width: $content-width + 2* $content-padding--small)\n // Content should respect window limits.\n .content\n width: 100%\n overflow-x: auto\n\n@media (max-width: $content-width)\n article[role=main] aside.sidebar\n float: none\n width: 100%\n margin: 1rem 0\n","// Overall Layout Variables\n//\n// Because CSS variables can't be used in media queries. The fact that this\n// makes the layout non-user-configurable is a good thing.\n$content-padding: 3em;\n$content-padding--small: 1em;\n$content-width: 46em;\n$sidebar-width: 15em;\n$content-padded-width: $content-width + 2 * $content-padding;\n$content-padded-width--small: $content-width + 2 * $content-padding--small;\n$full-width: $content-padded-width + 2 * $sidebar-width;\n","//\n// The design here is strongly inspired by mkdocs-material.\n.admonition, .topic\n margin: 1rem auto\n padding: 0 0.5rem 0.5rem 0.5rem\n\n background: var(--color-admonition-background)\n\n border-radius: 0.2rem\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n font-size: var(--admonition-font-size)\n\n overflow: hidden\n page-break-inside: avoid\n\n // First element should have no margin, since the title has it.\n > :nth-child(2)\n margin-top: 0\n\n // Last item should have no margin, since we'll control that w/ padding\n > :last-child\n margin-bottom: 0\n\n.admonition p.admonition-title,\np.topic-title\n position: relative\n margin: 0 -0.5rem 0.5rem\n padding-left: 2rem\n padding-right: .5rem\n padding-top: .4rem\n padding-bottom: .4rem\n\n font-weight: 500\n font-size: var(--admonition-title-font-size)\n line-height: 1.3\n\n // Our fancy icon\n &::before\n content: \"\"\n position: absolute\n left: 0.5rem\n width: 1rem\n height: 1rem\n\n// Default styles\np.admonition-title\n background-color: var(--color-admonition-title-background)\n &::before\n background-color: var(--color-admonition-title)\n mask-image: var(--icon-admonition-default)\n mask-repeat: no-repeat\n\np.topic-title\n background-color: var(--color-topic-title-background)\n &::before\n background-color: var(--color-topic-title)\n mask-image: var(--icon-topic-default)\n mask-repeat: no-repeat\n\n//\n// Variants\n//\n.admonition\n border-left: 0.2rem solid var(--color-admonition-title)\n\n @each $type, $value in $admonitions\n &.#{$type}\n border-left-color: var(--color-admonition-title--#{$type})\n > .admonition-title\n background-color: var(--color-admonition-title-background--#{$type})\n &::before\n background-color: var(--color-admonition-title--#{$type})\n mask-image: var(--icon-#{nth($value, 2)})\n\n.admonition-todo > .admonition-title\n text-transform: uppercase\n","// This file stylizes the API documentation (stuff generated by autodoc). It's\n// deeply nested due to how autodoc structures the HTML without enough classes\n// to select the relevant items.\n\n// API docs!\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple)\n // Tweak the spacing of all the things!\n dd\n margin-left: 2rem\n > :first-child\n margin-top: 0.125rem\n > :last-child\n margin-bottom: 0.75rem\n\n // This is used for the arguments\n .field-list\n margin-bottom: 0.75rem\n\n // \"Headings\" (like \"Parameters\" and \"Return\")\n > dt\n text-transform: uppercase\n font-size: var(--font-size--small)\n\n dd:empty\n margin-bottom: 0.5rem\n dd > ul\n margin-left: -1.2rem\n > li\n > p:nth-child(2)\n margin-top: 0\n // When the last-empty-paragraph follows a paragraph, it doesn't need\n // to augument the existing spacing.\n > p + p:last-child:empty\n margin-top: 0\n margin-bottom: 0\n\n // Colorize the elements\n > dt\n color: var(--color-api-overall)\n\n.sig:not(.sig-inline)\n font-weight: bold\n\n font-size: var(--api-font-size)\n font-family: var(--font-stack--monospace)\n\n margin-left: -0.25rem\n margin-right: -0.25rem\n padding-top: 0.25rem\n padding-bottom: 0.25rem\n padding-right: 0.5rem\n\n // These are intentionally em, to properly match the font size.\n padding-left: 3em\n text-indent: -2.5em\n\n border-radius: 0.25rem\n\n background: var(--color-api-background)\n transition: background 100ms ease-out\n\n &:hover\n background: var(--color-api-background-hover)\n\n // adjust the size of the [source] link on the right.\n a.reference\n .viewcode-link\n font-weight: normal\n width: 4.25rem\n\nem.property\n font-style: normal\n &:first-child\n color: var(--color-api-keyword)\n.sig-name\n color: var(--color-api-name)\n.sig-prename\n font-weight: normal\n color: var(--color-api-pre-name)\n.sig-paren\n color: var(--color-api-paren)\n.sig-param\n font-style: normal\n\ndiv.versionadded,\ndiv.versionchanged,\ndiv.deprecated,\ndiv.versionremoved\n border-left: 0.1875rem solid\n border-radius: 0.125rem\n\n padding-left: 0.75rem\n\n p\n margin-top: 0.125rem\n margin-bottom: 0.125rem\n\ndiv.versionadded\n border-color: var(--color-api-added-border)\n .versionmodified\n color: var(--color-api-added)\n\ndiv.versionchanged\n border-color: var(--color-api-changed-border)\n .versionmodified\n color: var(--color-api-changed)\n\ndiv.deprecated\n border-color: var(--color-api-deprecated-border)\n .versionmodified\n color: var(--color-api-deprecated)\n\ndiv.versionremoved\n border-color: var(--color-api-removed-border)\n .versionmodified\n color: var(--color-api-removed)\n\n// Align the [docs] and [source] to the right.\n.viewcode-link, .viewcode-back\n float: right\n text-align: right\n",".line-block\n margin-top: 0.5rem\n margin-bottom: 0.75rem\n .line-block\n margin-top: 0rem\n margin-bottom: 0rem\n padding-left: 1rem\n","// Captions\narticle p.caption,\ntable > caption,\n.code-block-caption\n font-size: var(--font-size--small)\n text-align: center\n\n// Caption above a TOCTree\n.toctree-wrapper.compound\n .caption, :not(.caption) > .caption-text\n font-size: var(--font-size--small)\n text-transform: uppercase\n\n text-align: initial\n margin-bottom: 0\n\n > ul\n margin-top: 0\n margin-bottom: 0\n","// Inline code\ncode.literal, .sig-inline\n background: var(--color-inline-code-background)\n border-radius: 0.2em\n // Make the font smaller, and use padding to recover.\n font-size: var(--font-size--small--2)\n padding: 0.1em 0.2em\n\n pre.literal-block &\n font-size: inherit\n padding: 0\n\n p &\n border: 1px solid var(--color-background-border)\n\n.sig-inline\n font-family: var(--font-stack--monospace)\n\n// Code and Literal Blocks\n$code-spacing-vertical: 0.625rem\n$code-spacing-horizontal: 0.875rem\n\n// Wraps every literal block + line numbers.\ndiv[class*=\" highlight-\"],\ndiv[class^=\"highlight-\"]\n margin: 1em 0\n display: flex\n\n .table-wrapper\n margin: 0\n padding: 0\n\npre\n margin: 0\n padding: 0\n overflow: auto\n\n // Needed to have more specificity than pygments' \"pre\" selector. :(\n article[role=\"main\"] .highlight &\n line-height: 1.5\n\n &.literal-block,\n .highlight &\n font-size: var(--code-font-size)\n padding: $code-spacing-vertical $code-spacing-horizontal\n\n // Make it look like all the other blocks.\n &.literal-block\n margin-top: 1rem\n margin-bottom: 1rem\n\n border-radius: 0.2rem\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n\n// All code is always contained in this.\n.highlight\n width: 100%\n border-radius: 0.2rem\n\n // Make line numbers and prompts un-selectable.\n .gp, span.linenos\n user-select: none\n pointer-events: none\n\n // Expand the line-highlighting.\n .hll\n display: block\n margin-left: -$code-spacing-horizontal\n margin-right: -$code-spacing-horizontal\n padding-left: $code-spacing-horizontal\n padding-right: $code-spacing-horizontal\n\n/* Make code block captions be nicely integrated */\n.code-block-caption\n display: flex\n padding: $code-spacing-vertical $code-spacing-horizontal\n\n border-radius: 0.25rem\n border-bottom-left-radius: 0\n border-bottom-right-radius: 0\n font-weight: 300\n border-bottom: 1px solid\n\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n border-color: var(--color-background-border)\n\n + div[class]\n margin-top: 0\n pre\n border-top-left-radius: 0\n border-top-right-radius: 0\n\n// When `html_codeblock_linenos_style` is table.\n.highlighttable\n width: 100%\n display: block\n tbody\n display: block\n\n tr\n display: flex\n\n // Line numbers\n td.linenos\n background-color: var(--color-code-background)\n color: var(--color-code-foreground)\n padding: $code-spacing-vertical $code-spacing-horizontal\n padding-right: 0\n border-top-left-radius: 0.2rem\n border-bottom-left-radius: 0.2rem\n\n .linenodiv\n padding-right: $code-spacing-horizontal\n font-size: var(--code-font-size)\n box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n\n // Actual code\n td.code\n padding: 0\n display: block\n flex: 1\n overflow: hidden\n\n .highlight\n border-top-left-radius: 0\n border-bottom-left-radius: 0\n\n// When `html_codeblock_linenos_style` is inline.\n.highlight\n span.linenos\n display: inline-block\n padding-left: 0\n padding-right: $code-spacing-horizontal\n margin-right: $code-spacing-horizontal\n box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n","// Inline Footnote Reference\n.footnote-reference\n font-size: var(--font-size--small--4)\n vertical-align: super\n\n// Definition list, listing the content of each note.\n// docutils <= 0.17\ndl.footnote.brackets\n font-size: var(--font-size--small)\n color: var(--color-foreground-secondary)\n\n display: grid\n grid-template-columns: max-content auto\n dt\n margin: 0\n > .fn-backref\n margin-left: 0.25rem\n\n &:after\n content: \":\"\n\n .brackets\n &:before\n content: \"[\"\n &:after\n content: \"]\"\n\n dd\n margin: 0\n padding: 0 1rem\n\n// docutils >= 0.18\naside.footnote\n font-size: var(--font-size--small)\n color: var(--color-foreground-secondary)\n\naside.footnote > span,\ndiv.citation > span\n float: left\n font-weight: 500\n padding-right: 0.25rem\n\naside.footnote > *:not(span),\ndiv.citation > p\n margin-left: 2rem\n","//\n// Figures\n//\nimg\n box-sizing: border-box\n max-width: 100%\n height: auto\n\narticle\n figure, .figure\n border-radius: 0.2rem\n\n margin: 0\n :last-child\n margin-bottom: 0\n\n .align-left\n float: left\n clear: left\n margin: 0 1rem 1rem\n\n .align-right\n float: right\n clear: right\n margin: 0 1rem 1rem\n\n .align-default,\n .align-center\n display: block\n text-align: center\n margin-left: auto\n margin-right: auto\n\n // WELL, table needs to be stylised like a table.\n table.align-default\n display: table\n text-align: initial\n",".genindex-jumpbox, .domainindex-jumpbox\n border-top: 1px solid var(--color-background-border)\n border-bottom: 1px solid var(--color-background-border)\n padding: 0.25rem\n\n.genindex-section, .domainindex-section\n h2\n margin-top: 0.75rem\n margin-bottom: 0.5rem\n ul\n margin-top: 0\n margin-bottom: 0\n","ul,\nol\n padding-left: 1.2rem\n\n // Space lists out like paragraphs\n margin-top: 1rem\n margin-bottom: 1rem\n // reduce margins within li.\n li\n > p:first-child\n margin-top: 0.25rem\n margin-bottom: 0.25rem\n\n > p:last-child\n margin-top: 0.25rem\n\n > ul,\n > ol\n margin-top: 0.5rem\n margin-bottom: 0.5rem\n\nol\n &.arabic\n list-style: decimal\n &.loweralpha\n list-style: lower-alpha\n &.upperalpha\n list-style: upper-alpha\n &.lowerroman\n list-style: lower-roman\n &.upperroman\n list-style: upper-roman\n\n// Don't space lists out when they're \"simple\" or in a `.. toctree::`\n.simple,\n.toctree-wrapper\n li\n > ul,\n > ol\n margin-top: 0\n margin-bottom: 0\n\n// Definition Lists\n.field-list,\n.option-list,\ndl:not([class]),\ndl.simple,\ndl.footnote,\ndl.glossary\n dt\n font-weight: 500\n margin-top: 0.25rem\n + dt\n margin-top: 0\n\n .classifier::before\n content: \":\"\n margin-left: 0.2rem\n margin-right: 0.2rem\n\n dd\n > p:first-child,\n ul\n margin-top: 0.125rem\n\n ul\n margin-bottom: 0.125rem\n",".math-wrapper\n width: 100%\n overflow-x: auto\n\ndiv.math\n position: relative\n text-align: center\n\n .headerlink,\n &:focus .headerlink\n display: none\n\n &:hover .headerlink\n display: inline-block\n\n span.eqno\n position: absolute\n right: 0.5rem\n top: 50%\n transform: translate(0, -50%)\n z-index: 1\n","// Abbreviations\nabbr[title]\n cursor: help\n\n// \"Problematic\" content, as identified by Sphinx\n.problematic\n color: var(--color-problematic)\n\n// Keyboard / Mouse \"instructions\"\nkbd:not(.compound)\n margin: 0 0.2rem\n padding: 0 0.2rem\n border-radius: 0.2rem\n border: 1px solid var(--color-foreground-border)\n color: var(--color-foreground-primary)\n vertical-align: text-bottom\n\n font-size: var(--font-size--small--3)\n display: inline-block\n\n box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary)\n\n background-color: var(--color-background-secondary)\n\n// Blockquote\nblockquote\n border-left: 4px solid var(--color-background-border)\n background: var(--color-background-secondary)\n\n margin-left: 0\n margin-right: 0\n padding: 0.5rem 1rem\n\n .attribution\n font-weight: 600\n text-align: right\n\n &.pull-quote,\n &.highlights\n font-size: 1.25em\n\n &.epigraph,\n &.pull-quote\n border-left-width: 0\n border-radius: 0.5rem\n\n &.highlights\n border-left-width: 0\n background: transparent\n\n// Center align embedded-in-text images\np .reference img\n vertical-align: middle\n","p.rubric\n line-height: 1.25\n font-weight: bold\n font-size: 1.125em\n\n // For Numpy-style documentation that's got rubrics within it.\n // https://github.com/pradyunsg/furo/discussions/505\n dd &\n line-height: inherit\n font-weight: inherit\n\n font-size: var(--font-size--small)\n text-transform: uppercase\n","article .sidebar\n float: right\n clear: right\n width: 30%\n\n margin-left: 1rem\n margin-right: 0\n\n border-radius: 0.2rem\n background-color: var(--color-background-secondary)\n border: var(--color-background-border) 1px solid\n\n > *\n padding-left: 1rem\n padding-right: 1rem\n\n > ul, > ol // lists need additional padding, because bullets.\n padding-left: 2.2rem\n\n .sidebar-title\n margin: 0\n padding: 0.5rem 1rem\n border-bottom: var(--color-background-border) 1px solid\n\n font-weight: 500\n\n// TODO: subtitle\n// TODO: dedicated variables?\n","[role=main] .table-wrapper.container\n width: 100%\n overflow-x: auto\n margin-top: 1rem\n margin-bottom: 0.5rem\n padding: 0.2rem 0.2rem 0.75rem\n\ntable.docutils\n border-radius: 0.2rem\n border-spacing: 0\n border-collapse: collapse\n\n box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n th\n background: var(--color-table-header-background)\n\n td,\n th\n // Space things out properly\n padding: 0 0.25rem\n\n // Get the borders looking just-right.\n border-left: 1px solid var(--color-table-border)\n border-right: 1px solid var(--color-table-border)\n border-bottom: 1px solid var(--color-table-border)\n\n p\n margin: 0.25rem\n\n &:first-child\n border-left: none\n &:last-child\n border-right: none\n\n // MyST-parser tables set these classes for control of column alignment\n &.text-left\n text-align: left\n &.text-right\n text-align: right\n &.text-center\n text-align: center\n",":target\n scroll-margin-top: 2.5rem\n\n@media (max-width: $full-width - $sidebar-width)\n :target\n scroll-margin-top: calc(2.5rem + var(--header-height))\n\n // When a heading is selected\n section > span:target\n scroll-margin-top: calc(2.8rem + var(--header-height))\n\n// Permalinks\n.headerlink\n font-weight: 100\n user-select: none\n\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\ndl dt,\np.caption,\nfigcaption p,\ntable > caption,\n.code-block-caption\n > .headerlink\n margin-left: 0.5rem\n visibility: hidden\n &:hover > .headerlink\n visibility: visible\n\n // Don't change to link-like, if someone adds the contents directive.\n > .toc-backref\n color: inherit\n text-decoration-line: none\n\n// Figure and table captions are special.\nfigure:hover > figcaption > p > .headerlink,\ntable:hover > caption > .headerlink\n visibility: visible\n\n:target >, // Regular section[id] style anchors\nspan:target ~ // Non-regular span[id] style \"extra\" anchors\n h1,\n h2,\n h3,\n h4,\n h5,\n h6\n &:nth-of-type(1)\n background-color: var(--color-highlight-on-target)\n // .headerlink\n // visibility: visible\n code.literal\n background-color: transparent\n\ntable:target > caption,\nfigure:target\n background-color: var(--color-highlight-on-target)\n\n// Inline page contents\n.this-will-duplicate-information-and-it-is-still-useful-here li :target\n background-color: var(--color-highlight-on-target)\n\n// Code block permalinks\n.literal-block-wrapper:target .code-block-caption\n background-color: var(--color-highlight-on-target)\n\n// When a definition list item is selected\n//\n// There isn't really an alternative to !important here, due to the\n// high-specificity of API documentation's selector.\ndt:target\n background-color: var(--color-highlight-on-target) !important\n\n// When a footnote reference is selected\n.footnote > dt:target + dd,\n.footnote-reference:target\n background-color: var(--color-highlight-on-target)\n",".guilabel\n background-color: var(--color-guilabel-background)\n border: 1px solid var(--color-guilabel-border)\n color: var(--color-guilabel-text)\n\n padding: 0 0.3em\n border-radius: 0.5em\n font-size: 0.9em\n","// This file contains the styles used for stylizing the footer that's shown\n// below the content.\n\nfooter\n font-size: var(--font-size--small)\n display: flex\n flex-direction: column\n\n margin-top: 2rem\n\n// Bottom of page information\n.bottom-of-page\n display: flex\n align-items: center\n justify-content: space-between\n\n margin-top: 1rem\n padding-top: 1rem\n padding-bottom: 1rem\n\n color: var(--color-foreground-secondary)\n border-top: 1px solid var(--color-background-border)\n\n line-height: 1.5\n\n @media (max-width: $content-width)\n text-align: center\n flex-direction: column-reverse\n gap: 0.25rem\n\n .left-details\n font-size: var(--font-size--small)\n\n .right-details\n display: flex\n flex-direction: column\n gap: 0.25rem\n text-align: right\n\n .icons\n display: flex\n justify-content: flex-end\n gap: 0.25rem\n font-size: 1rem\n\n a\n text-decoration: none\n\n svg,\n img\n font-size: 1.125rem\n height: 1em\n width: 1em\n\n// Next/Prev page information\n.related-pages\n a\n display: flex\n align-items: center\n\n text-decoration: none\n &:hover .page-info .title\n text-decoration: underline\n color: var(--color-link)\n text-decoration-color: var(--color-link-underline)\n\n svg.furo-related-icon,\n svg.furo-related-icon > use\n flex-shrink: 0\n\n color: var(--color-foreground-border)\n\n width: 0.75rem\n height: 0.75rem\n margin: 0 0.5rem\n\n &.next-page\n max-width: 50%\n\n float: right\n clear: right\n text-align: right\n\n &.prev-page\n max-width: 50%\n\n float: left\n clear: left\n\n svg\n transform: rotate(180deg)\n\n.page-info\n display: flex\n flex-direction: column\n overflow-wrap: anywhere\n\n .next-page &\n align-items: flex-end\n\n .context\n display: flex\n align-items: center\n\n padding-bottom: 0.1rem\n\n color: var(--color-foreground-muted)\n font-size: var(--font-size--small)\n text-decoration: none\n","// This file contains the styles for the contents of the left sidebar, which\n// contains the navigation tree, logo, search etc.\n\n////////////////////////////////////////////////////////////////////////////////\n// Brand on top of the scrollable tree.\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-brand\n display: flex\n flex-direction: column\n flex-shrink: 0\n\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n text-decoration: none\n\n.sidebar-brand-text\n color: var(--color-sidebar-brand-text)\n overflow-wrap: break-word\n margin: var(--sidebar-item-spacing-vertical) 0\n font-size: 1.5rem\n\n.sidebar-logo-container\n margin: var(--sidebar-item-spacing-vertical) 0\n\n.sidebar-logo\n margin: 0 auto\n display: block\n max-width: 100%\n\n////////////////////////////////////////////////////////////////////////////////\n// Search\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-search-container\n display: flex\n align-items: center\n margin-top: var(--sidebar-search-space-above)\n\n position: relative\n\n background: var(--color-sidebar-search-background)\n &:hover,\n &:focus-within\n background: var(--color-sidebar-search-background--focus)\n\n &::before\n content: \"\"\n position: absolute\n left: var(--sidebar-item-spacing-horizontal)\n width: var(--sidebar-search-icon-size)\n height: var(--sidebar-search-icon-size)\n\n background-color: var(--color-sidebar-search-icon)\n mask-image: var(--icon-search)\n\n.sidebar-search\n box-sizing: border-box\n\n border: none\n border-top: 1px solid var(--color-sidebar-search-border)\n border-bottom: 1px solid var(--color-sidebar-search-border)\n\n padding-top: var(--sidebar-search-input-spacing-vertical)\n padding-bottom: var(--sidebar-search-input-spacing-vertical)\n padding-right: var(--sidebar-search-input-spacing-horizontal)\n padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size))\n\n width: 100%\n\n color: var(--color-sidebar-search-foreground)\n background: transparent\n z-index: 10\n\n &:focus\n outline: none\n\n &::placeholder\n font-size: var(--sidebar-search-input-font-size)\n\n//\n// Hide Search Matches link\n//\n#searchbox .highlight-link\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal) 0\n margin: 0\n text-align: center\n\n a\n color: var(--color-sidebar-search-icon)\n font-size: var(--font-size--small--2)\n\n////////////////////////////////////////////////////////////////////////////////\n// Structure/Skeleton of the navigation tree (left)\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-tree\n font-size: var(--sidebar-item-font-size)\n margin-top: var(--sidebar-tree-space-above)\n margin-bottom: var(--sidebar-item-spacing-vertical)\n\n ul\n padding: 0\n margin-top: 0\n margin-bottom: 0\n\n display: flex\n flex-direction: column\n\n list-style: none\n\n li\n position: relative\n margin: 0\n\n > ul\n margin-left: var(--sidebar-item-spacing-horizontal)\n\n .icon\n color: var(--color-sidebar-link-text)\n\n .reference\n box-sizing: border-box\n color: var(--color-sidebar-link-text)\n\n // Fill the parent.\n display: inline-block\n line-height: var(--sidebar-item-line-height)\n text-decoration: none\n\n // Don't allow long words to cause wrapping.\n overflow-wrap: anywhere\n\n height: 100%\n width: 100%\n\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n &:hover\n color: var(--color-sidebar-link-text)\n background: var(--color-sidebar-item-background--hover)\n\n // Add a nice little \"external-link\" arrow here.\n &.external::after\n content: url('data:image/svg+xml,')\n margin: 0 0.25rem\n vertical-align: middle\n color: var(--color-sidebar-link-text)\n\n // Make the current page reference bold.\n .current-page > .reference\n font-weight: bold\n\n label\n position: absolute\n top: 0\n right: 0\n height: var(--sidebar-item-height)\n width: var(--sidebar-expander-width)\n\n cursor: pointer\n user-select: none\n\n display: flex\n justify-content: center\n align-items: center\n\n .caption, :not(.caption) > .caption-text\n font-size: var(--sidebar-caption-font-size)\n color: var(--color-sidebar-caption-text)\n\n font-weight: bold\n text-transform: uppercase\n\n margin: var(--sidebar-caption-space-above) 0 0 0\n padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n // If it has children, add a bit more padding to wrap the content to avoid\n // overlapping with the

    ' + - '' + - _("Hide Search Matches") + - "

    -
    sloyka 0.1.0 documentation
     +
    sloyka 0.2.1 documentation