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Retrait de la PEP8 (mais je remet une fois que tu aura push

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Fomys 2019-03-02 14:41:40 +01:00
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commit 3ac3e394b5
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modules/fractale.py
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# dummy module #dummy module
import os import asyncio
import random
from concurrent.futures import ThreadPoolExecutor
import discord
import fractale.source.main import fractale.source.main
import random
import discord
import os
from PIL import Image from PIL import Image
from concurrent.futures import ThreadPoolExecutor
class MainClass(): class MainClass():
def __init__(self, client, modules, owners, prefix): def __init__(self, client, modules, owners, prefix):
self.client = client self.client = client
self.modules = modules self.modules = modules
self.owners = owners self.owners = owners
self.prefix = prefix self.prefix = prefix
self.events = ['on_message'] # events list self.events=['on_message'] #events list
self.command = "%sfractale" % self.prefix # command prefix (can be empty to catch every single messages) self.command="%sfractale"%self.prefix #command prefix (can be empty to catch every single messages)
self.name = "Fractale" self.name="Fractale"
self.description = "Module de génération de fractales" self.description="Module de génération de fractales"
self.interactive = True self.interactive=True
self.color = 0x78ffc3 self.color=0x78ffc3
self.fractals = { self.fractals={
"von_koch_curve_flake": {"Type": "Figures", "Max": ((5000, 5000), 5000, 10), "Min": ((0, 0), 0, 1), "von_koch_curve_flake":{"Type":"Figures", "Max":((5000,5000), 5000, 10), "Min":((0,0),0,1), "Default":"(2500 2500) 2000 5 #ffffff 1", "Indication":"(départ) (arrivée) longueur iterations color bg stroke", "ParseData":"pfixi"},
"Default": "(2500 2500) 2000 5 #ffffff 1", "von_koch_curve":{"Type":"Figures", "Max":((5000,5000),(5000,5000),10), "Min":((0,0),(0,0),1), "Default":"(0 2500) (5000 2500) 5 #ffffff 1", "Indication":"(départ) (arrivée) iterations color bg stroke", "ParseData":"ppixi"},
"Indication": "(départ) (arrivée) longueur iterations color bg stroke", "blanc_manger":{"Type":"Figures", "Max":((5000,5000),(5000,5000),10), "Min":((0,0),(0,0),1), "Default":"(1000 1000) (4000 4000) 7 #ffffff 1", "Indication":"(départ) (arrivée) iterations color bg stroke", "ParseData":"ppixi"},
"ParseData": "pfixi"}, "dragon":{"Type":"Lsystem", "Max":((5000,5000), 2500,19), "Min":((0,0),1,1), "Default":"(2500 2500)", "Indication":"(origine) longueur iterations color bg stroke", "ParseData":"pfixi"},
"von_koch_curve": {"Type": "Figures", "Max": ((5000, 5000), (5000, 5000), 10), "Min": ((0, 0), (0, 0), 1), "sierpinski_triangle":{"Type":"Lsystem", "Max":((5000,5000),2500,11), "Min":((0,0),0,1), "Default":"(0 0)", "Indication":"(origine) longueur iterations color bg stroke", "ParseData":"pfixi"},
"Default": "(0 2500) (5000 2500) 5 #ffffff 1", "fractal_plant":{"Type":"Lsystem", "Max":((5000,5000),2500,8), "Min":((0,0),0,1), "Default":"(0 2500)", "Indication":"(origine) longueur iterations color bg stroke", "ParseData":"pfixi"},
"Indication": "(départ) (arrivée) iterations color bg stroke", "ParseData": "ppixi"}, "koch_curve_right_angle":{"Type":"Lsystem", "Max":((5000,5000),2500,9), "Min":((0,0),0,1), "Default":"(0 5000)", "Indication":"(origine) longueur iterations color bg stroke", "ParseData":"pfixi"},
"blanc_manger": {"Type": "Figures", "Max": ((5000, 5000), (5000, 5000), 10), "Min": ((0, 0), (0, 0), 1), "fractal_binary_tree":{"Type":"Lsystem", "Max":((5000,5000),2500,15), "Min":((0,0),0,1), "Default":"(0 0)", "Indication":"(origine) longueur iterations color bg stroke", "ParseData":"pfixi"}
"Default": "(1000 1000) (4000 4000) 7 #ffffff 1",
"Indication": "(départ) (arrivée) iterations color bg stroke", "ParseData": "ppixi"},
"dragon": {"Type": "Lsystem", "Max": ((5000, 5000), 2500, 19), "Min": ((0, 0), 1, 1),
"Default": "(2500 2500)", "Indication": "(origine) longueur iterations color bg stroke",
"ParseData": "pfixi"},
"sierpinski_triangle": {"Type": "Lsystem", "Max": ((5000, 5000), 2500, 11), "Min": ((0, 0), 0, 1),
"Default": "(0 0)", "Indication": "(origine) longueur iterations color bg stroke",
"ParseData": "pfixi"},
"fractal_plant": {"Type": "Lsystem", "Max": ((5000, 5000), 2500, 8), "Min": ((0, 0), 0, 1),
"Default": "(0 2500)", "Indication": "(origine) longueur iterations color bg stroke",
"ParseData": "pfixi"},
"koch_curve_right_angle": {"Type": "Lsystem", "Max": ((5000, 5000), 2500, 9), "Min": ((0, 0), 0, 1),
"Default": "(0 5000)",
"Indication": "(origine) longueur iterations color bg stroke",
"ParseData": "pfixi"},
"fractal_binary_tree": {"Type": "Lsystem", "Max": ((5000, 5000), 2500, 15), "Min": ((0, 0), 0, 1),
"Default": "(0 0)", "Indication": "(origine) longueur iterations color bg stroke",
"ParseData": "pfixi"}
} }
self.help = """\ self.help="""\
</prefix>fractale [fractale] [nombre d'itérations] </prefix>fractale [fractale] [nombre d'itérations]
=> Génère une image fractale. (Si on met le nombre d'itérations, on doit mettre le nom de la fractale.) => Génère une image fractale. (Si on met le nombre d'itérations, on doit mettre le nom de la fractale.)
-> Valeurs possible pour [fractale] -> Valeurs possible pour [fractale]
```..: Toutes les fractales: ```..: Toutes les fractales:
%s```""" % '\n'.join(['......: %s' % t for t in self.fractals.keys()]) %s```"""%'\n'.join(['......: %s'%t for t in self.fractals.keys()])
def parse(self, inp): def parse(self, inp):
retDic = {"Success": False, "Message": "", "Result": ()} retDic={"Success":False, "Message":"", "Result":()}
# Parsing the fractal name and storing the corresponding dic into a variable #Parsing the fractal name and storing the corresponding dic into a variable
try: try:
fractal = self.fractals[inp.split(' ')[0]] fractal=self.fractals[inp.split(' ')[0]]
except KeyError: except KeyError:
retDic.update({"Success": False, "Message": "La fractale %s n'existe pas." % inp.split(' ')[0]}) retDic.update({"Success":False, "Message":"La fractale %s n'existe pas."%inp.split(' ')[0]})
return (retDic) return(retDic)
arg = ' '.join(inp.split(' ')[1:]) # Stuff after the fractal name arg=' '.join(inp.split(' ')[1:]) #Stuff after the fractal name
# checking for incoherent parentheses usage #checking for incoherent parentheses usage
parentheses_count = 0 parentheses_count=0
for i, char in enumerate(arg): for i,char in enumerate(arg):
if char == '(': if char=='(':
parentheses_count += 1 parentheses_count+=1
elif char == ')': elif char==')':
parentheses_count -= 1 parentheses_count-=1
if not (-1 < parentheses_count < 2): if not(-1<parentheses_count<2):
retDic.update({"Success": False, retDic.update({"Success":False, "Message":"Usage invalide de parentheses au charactère numéro %s (à partir d'après le nom de la fractale)."%i})
"Message": "Usage invalide de parentheses au charactère numéro %s (à partir d'après le nom de la fractale)." % i}) return(retDic)
return (retDic)
# Here, we have a coherent parentheses usage #Here, we have a coherent parentheses usage
if ',' in arg: if ',' in arg:
retDic.update({"Success": False, retDic.update({"Success":False, "Message":"Les virgules n'ont pas leur place dans les paramètres de génération. Il ne doit y avoir que des espaces uniques."})
"Message": "Les virgules n'ont pas leur place dans les paramètres de génération. Il ne doit y avoir que des espaces uniques."}) return(retDic)
return (retDic)
# parsing the fractal #parsing the fractal
args = arg.replace(')', '').replace('(', '').split(' ') args=arg.replace(')','').replace('(','').split(' ')
parsed_args = [] parsed_args=[]
i = 0 i=0
for parse in fractal['ParseData']: for parse in fractal['ParseData'] :
if parse == 'p': if parse=='p':
if args[i] != '*': if args[i]!='*':
try: try:
int(args[i]) int(args[i])
int(args[i + 1]) int(args[i+1])
except: except:
retDic.update({"Success": False, retDic.update({"Success":False, "Message":"Les valeurs ne sont pas du bon type. (nombre entiers attendus pour les coordonnées d'un point)"})
"Message": "Les valeurs ne sont pas du bon type. (nombre entiers attendus pour les coordonnées d'un point)"}) return(retDic)
return (retDic) parsed_args.append((int(args[i]),int(args[i+1])))
parsed_args.append((int(args[i]), int(args[i + 1]))) i+=2
i += 2
else: else:
parsed_args.append( parsed_args.append(self.parse(inp.split(' ')[0]+' '+fractal['Default'])['Result'][len(parsed_args)])
self.parse(inp.split(' ')[0] + ' ' + fractal['Default'])['Result'][len(parsed_args)]) i+=1
i += 1
elif parse == 'f': elif parse=='f':
if args[i] != '*': if args[i]!='*':
try: try:
float(args[i]) float(args[i])
except: except:
retDic.update({"Success": False, retDic.update({"Success":False, "Message":"Les valeurs ne sont pas du bon type. (Nombre à virgule flottante attendu (mettre un point pour la virgule))"})
"Message": "Les valeurs ne sont pas du bon type. (Nombre à virgule flottante attendu (mettre un point pour la virgule))"}) return(retDic)
return (retDic)
parsed_args.append(float(args[i])) parsed_args.append(float(args[i]))
i += 1 i+=1
else: else:
parsed_args.append( parsed_args.append(self.parse(inp.split(' ')[0]+' '+fractal['Default'])['Result'][len(parsed_args)])
self.parse(inp.split(' ')[0] + ' ' + fractal['Default'])['Result'][len(parsed_args)]) i+=1
i += 1
elif parse == 'i': elif parse=='i':
if args[i] != '*': if args[i]!='*':
try: try:
int(args[i]) int(args[i])
except: except:
print(args[i]) print(args[i])
print(i) print(i)
retDic.update({"Success": False, retDic.update({"Success":False, "Message":"Les valeurs ne sont pas du bon type. (Nombre entier attendu)"})
"Message": "Les valeurs ne sont pas du bon type. (Nombre entier attendu)"}) return(retDic)
return (retDic)
parsed_args.append(int(args[i])) parsed_args.append(int(args[i]))
i += 1 i+=1
else: else:
parsed_args.append( parsed_args.append(self.parse(inp.split(' ')[0]+' '+fractal['Default'])['Result'][len(parsed_args)])
self.parse(inp.split(' ')[0] + ' ' + fractal['Default'])['Result'][len(parsed_args)]) i+=1
i += 1
elif parse == 'x': elif parse=='x':
if args[i] != '*': if args[i]!='*':
try: try:
if '#' in args[i]: if '#' in args[i]:
int(args[i].replace('#', '0x'), 16) int(args[i].replace('#','0x'),16)
else: else:
raise raise
except: except:
retDic.update({"Success": False, retDic.update({"Success":False, "Message":"Les valeurs ne sont pas du bon type. (Valeur hexadécimale attendue)"})
"Message": "Les valeurs ne sont pas du bon type. (Valeur hexadécimale attendue)"}) return(retDic)
return (retDic) parsed_args.append(int(args[i].replace('#','0x'),16))
parsed_args.append(int(args[i].replace('#', '0x'), 16)) i+=1
i += 1
else: else:
parsed_args.append( parsed_args.append(self.parse(inp.split(' ')[0]+' '+fractal['Default'])['Result'][len(parsed_args)])
self.parse(inp.split(' ')[0] + ' ' + fractal['Default'])['Result'][len(parsed_args)]) i+=1
i += 1 retDic.update({"Success":True, "Result":parsed_args})
retDic.update({"Success": True, "Result": parsed_args}) return(retDic)
return (retDic)
async def on_message(self, message): async def on_message(self, message):
# await message.channel.send(str(self.parse(message.content[len("%sfractale "%self.prefix):]))) #await message.channel.send(str(self.parse(message.content[len("%sfractale "%self.prefix):])))
# ħere #ħere
args = message.content.split(" ") args=message.content.split(" ")
tmpstr = "/tmp/%s.png" % random.randint(1, 10000000) tmpstr="/tmp/%s.png"%random.randint(1,10000000)
im = Image.new('RGB', (5000, 5000), (0, 0, 0)) # here im=Image.new('RGB', (5000, 5000), (0, 0, 0))#here
fig = fractale.source.main.Figures(im=im) # here fig = fractale.source.main.Figures(im=im)#here
if len(args) == 1: if len(args)==1 :
await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.von_koch_curve_flake, await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.von_koch_curve_flake,*((2500, 2500), 2000, 5))
*((2500, 2500), 2000, 5)) elif args[1].lower()=="blanc_manger" :
elif args[1].lower() == "blanc_manger": iterations=7
iterations = 7 if len(args)>2 and int(args[2])<=20:
if len(args) > 2 and int(args[2]) <= 20: iterations=int(args[2])
iterations = int(args[2]) await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.blanc_manger,*((1000, 1000), (4000, 4000), iterations))
await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.blanc_manger, elif args[1].lower()=="von_koch_curve_flake" :
*((1000, 1000), (4000, 4000), iterations)) iterations=5
elif args[1].lower() == "von_koch_curve_flake": if len(args)>2 and int(args[2])<=7:
iterations = 5 iterations=int(args[2])
if len(args) > 2 and int(args[2]) <= 7: await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.von_koch_curve_flake,*((2500, 2500), 2000, iterations))
iterations = int(args[2]) elif args[1].lower()=="von_koch_curve" :
await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.von_koch_curve_flake, iterations=5
*((2500, 2500), 2000, iterations)) if len(args)>2 and int(args[2])<=7:
elif args[1].lower() == "von_koch_curve": iterations=int(args[2])
iterations = 5 await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.von_koch_curve,*((0, 2500), (5000,2500), iterations))
if len(args) > 2 and int(args[2]) <= 7:
iterations = int(args[2])
await self.client.loop.run_in_executor(ThreadPoolExecutor(), fig.von_koch_curve,
*((0, 2500), (5000, 2500), iterations))
else: else:
await self.modules['help'][1].send_help(message.channel, self) await self.modules['help'][1].send_help(message.channel, self)
return # here return#here
im.save(tmpstr) # here im.save(tmpstr)#here
await message.channel.send(file=discord.File(tmpstr)) await message.channel.send(file=discord.File(tmpstr))
os.remove(tmpstr) # here os.remove(tmpstr)#here