# Path: tlfp/tools/common.py
# def log_print(file=None, only_log=False):
#         def __init__(self, file):
#         def write(self, message):
#         def __getattr__(self, attr):
# def open_csv(dirpath, filename, delimiter=";"):
# def open_json(dirpath, filename=None):
# def download_daily(url_or_collecter, filename, output_directory):
# def print_json(dico, filename=None):
# def debug_file(data, filename):
# def format_date(d):
# def format_display_date(d):
# def real_lower(text):
# def clean_accents(text):
# def clean_text_for_diff(text):
# def compute_approx_similarity(text1, text2):
# def compute_similarity(text1, text2):
# def compute_similarity_by_articles(text1, text2):
# def identify_room(url_or_institution, legislature):
# def national_assembly_text_legislature(url_text):
# def personalize_link(link, obj, urlapi):
# def slug_groupe(g):
#     def __init__(self, sourcedir, load_parls=False):
#     def get_procedure(self):
#     def get_parlementaires(self):
#     def get_parlementaire(self, urlapi, slug):
#     def get_groupes(self):
#     def get_historique_groupes_senat(self):
#     def get_senateur_groupe(self, slug, object_date, urlapi):
#     def add_groupe(self, groupes, gpe, urlapi):
# def get_text_id(texte_url):
#     class Logger:
# class Context(object):
# 
# Path: tlfp/tools/sort_articles.py
# def split_article(a):
# def quantify_bis(b):
# def type_detail(d):
# def compare_details(a, b):
# def compare_articles(a, b):
# def article_is_lower(a, b):


import copy
import re
import sys
from bs4 import BeautifulSoup
from lawfactory_utils.urls import download
from .common import get_text_id, upcase_accents, real_lower
from .sort_articles import bister
                    article = {}
                pr_js(section)
                read = READ_TEXT

        # detect dots, used as hints for later completion
        if read != READ_DISABLED:
            if re_mat_dots.match(line):
                if article is not None:
                    pr_js(article)
                    article = {}
                pr_js({"type": "dots"})
                read = READ_TEXT # ignore alineas after the dots
                continue

        # Read articles with alineas
        if read == READ_ALINEAS and not m:
            line = re_clean_coord.sub('', line)
            # if the line was only "Pour coordination", ignore it
            if not line:
                continue
            # Find extra status information
            if ali_num == 0 and re_mat_st.match(line):
                article["statut"] = re_cl_html.sub("", re_cl_par.sub("", real_lower(line)).strip()).strip()
                continue
            if "<table>" in line:
                cl_line = cl_html_except_tables(line)
            line = re_clean_art_spaces2.sub('. - ', re_clean_art_spaces.sub(r'\1', re_clean_idx_spaces.sub(r'\1. ', re_mat_new.sub(" ", cl_line).strip())))
            # Clean low/upcase issues with BIS TER etc.
            line = line.replace("oeUVRE", "OEUVRE")
            line = clean_full_upcase(line)

# Path: tlfp/tools/common.py
# def log_print(file=None, only_log=False):
#         def __init__(self, file):
#         def write(self, message):
#         def __getattr__(self, attr):
# def open_csv(dirpath, filename, delimiter=";"):
# def open_json(dirpath, filename=None):
# def download_daily(url_or_collecter, filename, output_directory):
# def print_json(dico, filename=None):
# def debug_file(data, filename):
# def format_date(d):
# def format_display_date(d):
# def real_lower(text):
# def clean_accents(text):
# def clean_text_for_diff(text):
# def compute_approx_similarity(text1, text2):
# def compute_similarity(text1, text2):
# def compute_similarity_by_articles(text1, text2):
# def identify_room(url_or_institution, legislature):
# def national_assembly_text_legislature(url_text):
# def personalize_link(link, obj, urlapi):
# def slug_groupe(g):
#     def __init__(self, sourcedir, load_parls=False):
#     def get_procedure(self):
#     def get_parlementaires(self):
#     def get_parlementaire(self, urlapi, slug):
#     def get_groupes(self):
#     def get_historique_groupes_senat(self):
#     def get_senateur_groupe(self, slug, object_date, urlapi):
#     def add_groupe(self, groupes, gpe, urlapi):
# def get_text_id(texte_url):
#     class Logger:
# class Context(object):
# 
# Path: tlfp/tools/sort_articles.py
# def split_article(a):
# def quantify_bis(b):
# def type_detail(d):
# def compare_details(a, b):
# def compare_articles(a, b):
# def article_is_lower(a, b):


# Path: tlfp/tools/parse_texte.py
import copy
import re
import sys
from bs4 import BeautifulSoup
from lawfactory_utils.urls import download
from .common import get_text_id, upcase_accents, real_lower
from .sort_articles import bister

                    article = {}
                pr_js(section)
                read = READ_TEXT

        # detect dots, used as hints for later completion
        if read != READ_DISABLED:
            if re_mat_dots.match(line):
                if article is not None:
                    pr_js(article)
                    article = {}
                pr_js({"type": "dots"})
                read = READ_TEXT # ignore alineas after the dots
                continue

        # Read articles with alineas
        if read == READ_ALINEAS and not m:
            line = re_clean_coord.sub('', line)
            # if the line was only "Pour coordination", ignore it
            if not line:
                continue
            # Find extra status information
            if ali_num == 0 and re_mat_st.match(line):
                article["statut"] = re_cl_html.sub("", re_cl_par.sub("", real_lower(line)).strip()).strip()
                continue
            if "<table>" in line:
                cl_line = cl_html_except_tables(line)
            line = re_clean_art_spaces2.sub('. - ', re_clean_art_spaces.sub(r'\1', re_clean_idx_spaces.sub(r'\1. ', re_mat_new.sub(" ", cl_line).strip())))
            # Clean low/upcase issues with BIS TER etc.
            line = line.replace("oeUVRE", "OEUVRE")
            line = clean_full_upcase(line)

            line = re_clean_premier.sub(lambda m: (real_lower(m.group(0)) if m.group(1) else "")+m.group(3)+"er", line)