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_dict_species.json
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_dict_species.json
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_dict_species_by_rarety.json
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_dict_species_by_rarety.json
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main.py
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main.py
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#!/usr/bin/python3.10
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# -*- coding: utf-8 -*-
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"""************************
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AnkIdentification - A project to improve your plant identifcation skills through Anki.
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Aurélien VALENTIN - from 06/11/2022 to 29/12/2022
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************************"""
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# Default parameters, feel free to change them as you want.
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NB_SPECIES = 100 # Number of species wanted by the user. Can't exceed 100 with the GBIF method.
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LANGUAGE = "fr" # Please choose "fr" or "en" to get respectively French or English vernacular names.
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SPECIE_LIST_PATH_IF_GBIF_METHOD = "" # A csv file from https://identify.plantnet.org/prediction. Only if you've chosen the GBIF method.
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MY_OWN_LIST_PATH = "" # A txt file with one specie by line. Be careful to write the scientific name used in Pl@ntNet and change NB_SPECIES if needed.
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# Importation and other initialisations
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import json, sys
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import genanki #https://github.com/kerrickstaley/genanki.git
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from random import shuffle
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dict_common_plants = {}
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with open("_dict_species.json", "r") as fpi : dict_common_names = json.load(fpi) # From the 3-1 and 3-2 supplementary codes
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# Definition of the progressbar function, from https://gist.github.com/ChesterChowWOV/2b35c551b339adbf459363322aac5b4b
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def progressbar(it, prefix = "", size = 60, file = sys.stdout):
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count = len(it)
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def show(j):
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x = int(size*j/count)
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file.write("{}[{}{}] {}/{} {}%\r".format(prefix, "█"*x, "."*(size-x), j, count, round(j / count * 100, 2)))
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file.flush()
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show(0)
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for i, item in enumerate(it):
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yield item
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show(i + 1)
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file.write("\n")
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file.flush()
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"""************************
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Step 1 : Listing the most common species (if without a manual list or a GBIF file).
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************************"""
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if SPECIE_LIST_PATH_IF_GBIF_METHOD == MY_OWN_LIST_PATH:
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print("Listing the most common species")
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# Loading of the whole list
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with open("_dict_species_by_rarety.json") as fpi : dict_plants_sorted = json.load(fpi) # From the first supplementary code
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# Writing of the user's list
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with open("Selected_species.txt", "w") as fpo:
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for species in list(dict_plants_sorted.keys())[:NB_SPECIES]:
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fpo.write(species + "\n")
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"""************************
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Step 2 : Parsing data for each species.
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************************"""
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# Initialisation of the dictionary (and addition of the family) from a file from the step 1...
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if SPECIE_LIST_PATH_IF_GBIF_METHOD == "":
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with open("_dict_classification.json", "r") as fpi : dict_classification = json.load(fpi) # From the second supplementary code
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try: fpi = open(MY_OWN_LIST_PATH)
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except : fpi = open("Selected_species.txt")
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for line in progressbar(fpi.readlines(), "Adding families", 40):
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specie = line.split(" ")[0] + " " + line.split(" ")[1].lower().strip()
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dict_common_plants[specie] = {"Occurrence": {"leaf": 0, "flower": 0, "fruit": 0, "bark": 0}}
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try: dict_common_plants[specie]["Family"] = dict_classification[specie]
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except: dict_common_plants[specie]["Family"] = "Family not found"
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dict_common_plants[specie]["Links"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
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dict_common_plants[specie]["Authors"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
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# ...or from a GBIF file from here : https://identify.plantnet.org/prediction
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else:
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with open(SPECIE_LIST_PATH_IF_GBIF_METHOD) as fpi:
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fpi.readline()
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for line in progressbar(fpi.readlines(), "Adding families", 40):
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specie = line.split(",")[1].split(" ")[0] + " " + line.split(",")[1].split(" ")[1]
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dict_common_plants[specie] = {"Occurrence": {"leaf": 0, "flower": 0, "fruit": 0, "bark": 0}}
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dict_common_plants[specie]["Family"] = line.split(",")[2]
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dict_common_plants[specie]["Links"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
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dict_common_plants[specie]["Authors"] = {"leaf": "", "flower": "", "fruit": "", "bark": ""}
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# Addition of vernacular name(s)
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for specie in progressbar(dict_common_plants.keys(), "Adding common names", 40):
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try:
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dict_common_plants[specie]["Common names"] = dict_common_names[specie][LANGUAGE]
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except: dict_common_plants[specie]["Common names"] = "No common name found."
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# Addition of photo links and author names
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with open("multimedia.txt", encoding="utf-8") as fpi:
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fpi.readline()
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for line in progressbar(fpi.readlines(), "Adding links and common names", 40):
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line_split = line.split("\t")
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specie = line_split[5].split(" ")[0] + " " + line_split[5].split(" ")[1]
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link = line_split[3].strip(" ").split("o/")[1]
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type = line_split[5].split(":")[1].strip(" ")
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author = line_split[len(line_split) - 1].strip()
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if specie in dict_common_plants.keys() and type in ["leaf", "flower", "fruit", "bark"]:
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if dict_common_plants[specie]["Occurrence"][type] == 0:
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dict_common_plants[specie]["Links"][type] += link
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dict_common_plants[specie]["Authors"][type] += author
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dict_common_plants[specie]["Occurrence"][type] += 1
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elif dict_common_plants[specie]["Occurrence"][type] < 101:
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dict_common_plants[specie]["Links"][type] += "," + link
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dict_common_plants[specie]["Authors"][type] += "," + author
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dict_common_plants[specie]["Occurrence"][type] += 1
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"""************************
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Step 3 : Generation of the Anki deck.
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************************"""
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print("Preparing the Anki deck")
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# Definition of the Anki card model
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my_model = genanki.Model(
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1091735104,
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'Model for AnkIdentification',
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fields=[
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{'name': 'Name'},
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{'name': 'Common names'},
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{'name': 'Family'},
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{'name': 'Leaf'},
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{'name': 'Flower'},
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{'name': 'Fruit'},
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{'name': 'Bark'},
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{'name': 'Leaf authors'},
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{'name': 'Flower authors'},
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{'name': 'Fruit authors'},
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{'name': 'Bark authors'}
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],
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templates=[
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{
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'name': 'Card 1',
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'qfmt': """<style>
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.card {
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font-family: arial;
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font-size: 20px;
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text-align: center;
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color: black;
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background-color: white;
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}
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body{
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margin:0;
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}
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input{
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position:absolute;top:0;left:0;
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}
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#fullscreen{
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position:fixed;
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top:0;bottom:0;
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left:0;right:0;
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background-color:rgba(0,0,0,0.7);
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display:none;
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}
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#fImg{
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position:absolute;
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top:0;
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bottom:0;left:0;right:0;
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margin:auto;
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max-width:100%;
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max-height:100%;
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}
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#container{
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display: flex;
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width: 100vw;
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height: 98vh;
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padding: 1vh 0 1vh 0vh;
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flex-wrap: wrap;
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background-color:black;
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}
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td{
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border: 1px solid;
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}
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#container>img {
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width: 49%;
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height:49%;
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padding:1px;
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object-fit: contain;
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}
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.half{
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display: block;
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height: 35vh;
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}
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</style>
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<input type="button" id="qButton" value="" onclick="qSwitch()">
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<div id="fullscreen"><img id="fImg"/></div>
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<div id=container></div>
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<script>
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//once
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if(typeof o=='undefined'){
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var o={};
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var quality=3;
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var prevName='';
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var isRecto=true;
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var qTab=["s","m","o","a"];
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var qTab2=["150x150","600x600","Original","Automatic"];
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var lastRelease=0;
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var lastPress=0;
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//Quality switcher
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function qSwitch(){
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quality=(quality+1)%4;
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for (const k in o) {
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chgImg(o[k],0);
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qButton.value=qTab2[quality];
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}
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}
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//fullscreen
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function fullscreenImg(img){
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fImg.src='https://bs.plantnet.org/image/o/'+img.t[img.i];
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fImg.title="Author :\\n"+img.a[img.i];
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fullscreen.style.display='block';
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}
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function deFullscreenImg(){
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fImg.src="";
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fullscreen.style.display='none';
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}
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//click handling
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function mDown(e){
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setTimeout(function(){
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if(Date.now()-lastRelease>=500){
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chgImg(e.target,-1);
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}
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},500);
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lastPress=Date.now();
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}
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function mUp(e){
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if(e.button==0){
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if(Date.now()-lastPress<500){
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chgImg(e.target,1);
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}
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}else if(e.button==2){
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if(Date.now()-lastPress<500){
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fullscreenImg(e.target);
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}
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}
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lastRelease=Date.now();
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}
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function chgImg(img,n){
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img.i=(img.i+n)%img.t.length;
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if(img.i<0){img.i=img.t.length-1;}
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img.title="Author :\\n"+img.a[img.i];
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if(qTab[quality]!='a'){
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img.srcset='';
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img.src='https://bs.plantnet.org/image/'+qTab[quality]+'/'+img.t[img.i];
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}else{
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img.srcset='https://bs.plantnet.org/image/s/'+img.t[img.i]+' 600w,'+'https://bs.plantnet.org/image/m/'+img.t[img.i]+' 2400w,'+'https://bs.plantnet.org/image/o/'+img.t[img.i]+' 4000w';
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}
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if(img.complete==true){
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img.style.opacity=1;
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}else{
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img.style.opacity=0.5;
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}
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}
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function imgLoad(e){
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e.target.style.opacity=1;
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}
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//main show
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function prepImg(list,author,id){
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if(isRecto){
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img=document.createElement('img');
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img.t=list.replace(/<[^>]*>?/gm,'').split(',');
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img.a=author.replace(/<[^>]*>?/gm,'').split(',');
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img.i=Math.floor(Math.random()*img.t.length);
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chgImg(img,0);
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img.addEventListener('mousedown',mDown);
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img.addEventListener('mouseup',mUp);
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img.addEventListener('contextmenu',function(e){e.preventDefault();});
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img.addEventListener('load',imgLoad);
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o[id]=img;
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}
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container.appendChild(o[id]);
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}
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}
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//init objects (mist be re-done because recto/verso reload)
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var fImg=document.getElementById('fImg');
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var fullscreen=document.getElementById('fullscreen');
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var qButton=document.getElementById('qButton');
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var container=document.getElementById('container');
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fullscreen.addEventListener('click',deFullscreenImg);
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//recto or verso ?
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if(prevName=='{{Name}}'){
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isRecto=!isRecto;
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}else{
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isRecto=true;
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}
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prevName="{{Name}}";
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if(isRecto){
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qButton.value=qTab2[quality];
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}else{
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container.style.height="55vh";
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qButton.style.display='none';
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}
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prepImg("{{Leaf}}","{{Leaf authors}}",'Leaf');
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prepImg("{{Flower}}","{{Flower authors}}",'Flower');
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prepImg("{{Fruit}}","{{Fruit authors}}",'Fruit');
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prepImg("{{Bark}}","{{Bark authors}}",'Bark');
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</script>""",
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'afmt': """<div class="half">
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<h1><i>{{Name}}</i></h1>
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<br>
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<b><i>{{Family}}</i></b>
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<br>
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{{Common names}}
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</div>
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{{FrontSide}}""",
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'bfont': 'Arial'
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#'Styles': ".card {\n font-family: arial;\n font-size: 20px;\n text-align: center;\n color: black;\n background-color: white;\n}"
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},
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],
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css='.card {\n font-family: arial;\n font-size: 20px;\n text-align: center;\n color: black;\n background-color: white;\n}\n',
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)
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# Creation of the deck
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my_deck = genanki.Deck(
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2059400110,
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'AnkIdentifaction')
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# Randomization of the species order
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species_shuffled = list(dict_common_plants.keys())
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shuffle(species_shuffled)
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# Generation of all notes
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for specie in progressbar(species_shuffled, "Creating notes", 40):
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dict_specie = dict_common_plants[specie]
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my_note = genanki.Note(
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model = my_model,
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fields = [specie, dict_specie["Common names"], dict_specie["Family"], dict_specie["Links"]["leaf"], dict_specie["Links"]["flower"], dict_specie["Links"]["fruit"], dict_specie["Links"]["bark"], dict_specie["Authors"]["leaf"], dict_specie["Authors"]["flower"], dict_specie["Authors"]["fruit"], dict_specie["Authors"]["bark"]],
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tags = ["AnkIdentification::" + dict_specie["Family"]])
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my_deck.add_note(my_note)
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# Creation of the final file
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print("Almost done!")
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genanki.Package(my_deck).write_to_file('AnkIdentification.apkg')
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print("Enjoy ^^")
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