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.gitignore
vendored
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121
.gitignore
vendored
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# Created by https://www.gitignore.io/api/vim,python
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### Python ###
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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### Vim ###
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# swap
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[._]*.s[a-v][a-z]
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[._]*.sw[a-p]
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[._]s[a-v][a-z]
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[._]sw[a-p]
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# session
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Session.vim
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# temporary
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.netrwhist
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*~
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# auto-generated tag files
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tags
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# End of https://www.gitignore.io/api/vim,python
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1
README.md
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1
README.md
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#TD de SDA : découverte de Python
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lsystem.py
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lsystem.py
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import matplotlib.pyplot as plt
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import numpy as np
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import random as rd
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## Question 1
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def genere(regles, L0, n):
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L = L0
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for i in range(n):
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new_res = ""
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for j in L:
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new_res += regles.get(j, j)
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L = new_res
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return L
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## Question 2
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class Tortue:
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def __init__(self, angle, i=1):
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""" Initialise la tortue en (0,0) avec un angle de `angle`."""
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plt.figure(i)
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plt.axis('equal')
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self.angle = angle
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self.pos = (0,0)
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self.stack = []
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def avance(self, r):
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""" Avance la torue de `r` unités. """
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x,y = self.pos
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self.pos = (
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x + r*np.cos(self.angle),
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y + r*np.sin(self.angle)
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)
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plt.plot([x, self.pos[0]], [y, self.pos[1]], 'r')
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def tourne(self, a):
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""" Tourne la tortue d'un angle a. """
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self.angle += a
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def push(self):
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""" Mémorise l'état courrant. """
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self.stack.append((self.pos, self.angle))
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def pop(self):
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""" Retourne au précédent état mémorisé. """
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self.pos, self.angle = self.stack.pop(-1)
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def trace(self, s, alpha):
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""" Trace la chaîne de caractères s. """
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plt.autoscale()
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for c in s:
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if c == '+':
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self.tourne(alpha)
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elif c == '-':
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self.tourne(-alpha)
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elif c == '[':
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self.push()
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elif c == ']':
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self.pop()
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else:
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self.avance(1)
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## Question 5
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def genere2(regles, L0, n):
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L = L0
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for i in range(n):
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new_res = ""
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for j in L:
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regle = regles.get(j, [j])
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new_res += regle[rd.randint(0,len(regle)-1)]
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L = new_res
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return L
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## Question 5
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def genere3(regles, L0, n):
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L = L0
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for i in range(n):
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new_res = ""
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for j in L:
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regle = regles.get(j, [(1,j)])
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poids_total = sum(map(lambda x:x[0], regle))
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tirage = rd.uniform(0,poids_total-1)
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k = 0
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while tirage > 0:
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tirage -= regle[k][0]
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k += 1
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new_res += regle[k-1][1]
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L = new_res
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return L
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55
test.py
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55
test.py
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import numpy as np
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import matplotlib.pyplot as plt
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import lsystem as ls
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L1 = ls.genere({"A": "A−B+A+B−A", "B": "BB"}, "A−B−B", 1)
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print("L1 = " + L1)
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assert(L1 == "A−B+A+B−A−BB−BB")
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L2 = ls.genere({"A": "A−B+A+B−A", "B": "BB"}, "A−B−B", 2)
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assert(L2 == "A−B+A+B−A−BB+A−B+A+B−A+BB−A−B+A+B−A−BBBB−BBBB")
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plt.close('all')
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t = ls.Tortue(0)
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for i in range(4):
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t.avance(20)
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t.tourne(np.pi/2)
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plt.show()
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plt.close('all')
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t = ls.Tortue(0)
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s = ls.genere({"A":"A-B+A+B-A", "B":"BB"},"A−B−B", 5)
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t.trace(s,2*np.pi/3)
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plt.show()
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plt.close('all')
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t = ls.Tortue(0)
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s = ls.genere({"A":"A-A++A-A", "B":"BB"},"A++A++A", 4)
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t.trace(s,np.pi/3)
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plt.show()
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plt.close('all')
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t = ls.Tortue(0)
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s = ls.genere({"A":"A[+A]A[-A]A"},"A", 3)
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t.trace(s,22*np.pi/180)
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plt.show()
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plt.close('all')
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t = ls.Tortue(0)
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s = ls.genere({"A":"B[+A][-A]BA", "B":"BB"},"A", 4)
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t.trace(s,25*np.pi/180)
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plt.show()
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plt.close('all')
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t = ls.Tortue(0)
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s = ls.genere({"A":"A+b-AA+A+AA+Ab+AA-B+AA-A-AA-Ab-AAA", "b":"bbb"},"A", 2)
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t.trace(s,np.pi/2)
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plt.show()
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plt.close('all')
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for i in range(5):
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t = ls.Tortue(0, i)
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s = ls.genere3({"A":[(2,"A[+A]A[-A]A"), (1,"A[+A]A"), (1,"A[-A]A")]},"A", 5)
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t.trace(s,np.pi/6)
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plt.show()
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