Mapytex/pymath/generic.py
2014-02-26 12:39:38 +01:00

256 lines
6.4 KiB
Python

#!/usr/bin/env python
# encoding: utf-8
class Stack(object):
"""Docstring for Stack """
def __init__(self):
"""@todo: to be defined1 """
self.items = []
def pushFromList(self, list):
"""Push the list in the stack
:param list: a list
"""
for i in list[::-1]:
self.push(i)
def isEmpty(self):
""" Says if the stack is empty
:returns: @todo
"""
return self.items == []
def push(self, item):
"""Push an item in the stack
:param item: @todo
:returns: @todo
"""
self.items.append(item)
def pop(self):
"""Getting the last item and remove it
:returns: last item
"""
return self.items.pop()
def peek(self, posi = 0):
"""Getting the last item
:param posi: which item to peek 0 (last) 1 (the onebefore the last)...
:returns: the item
"""
return self.items[-1 - posi]
def __len__(self):
return len(self.items)
def __str__(self):
return str(self.items) + " -> "
def __add__(self, addList):
return self.items + addList
def flatten_list(a, result=None):
"""Flattens a nested list.
>>> flatten_list([ [1, 2, [3, 4] ], [5, 6], 7])
[1, 2, 3, 4, 5, 6, 7]
"""
if result is None:
result = []
for x in a:
if isinstance(x, list):
flatten_list(x, result)
else:
result.append(x)
return result
def first_elem(ll):
"""Get the first element in imbricates lists
# TODO: Fonction pourrie mais j'ai pas le temps de faire mieux! |mar. janv. 28 22:32:22 CET 2014
:param list: list of lists of lists...
:returns: the first element
>>> first_elem(1)
1
>>> first_elem([1,2])
1
>>> first_elem([["abc"]])
'a'
>>> first_elem("abc")
'a'
>>> first_elem([[[1,2],[3,4]], [5,6]])
1
>>> first_elem([[["ab",2],[3,4]], [5,6]])
'a'
"""
if hasattr(ll, '__contains__'):
if len(ll) == 1 and type(ll) == str:
return ll[0]
else:
return first_elem(ll[0])
else:
return ll
def last_elem(ll):
"""Get the last element in imbricates lists
# TODO: Fonction pourrie mais j'ai pas le temps de faire mieux! |mar. janv. 28 22:32:22 CET 2014
:param list: list of lists of lists...
:returns: the last element
>>> last_elem(1)
1
>>> last_elem([1,2])
2
>>> last_elem([["abc"]])
'c'
>>> last_elem("abc")
'c'
>>> last_elem([[[1,2],[3,4]], [5,6]])
6
>>> last_elem([[["ab",2],[3,4]], [5,6]])
6
"""
if hasattr(ll, '__contains__'):
if len(ll) == 1 and type(ll) == str:
return ll[-1]
else:
return last_elem(ll[-1])
else:
return ll
def expand_list(list_list):
"""Expand list of list
>>> expand_list([1,2,[3,4],5,[6,7,8]])
[[1, 2, 3, 5, 6], [1, 2, 4, 5, 7], [1, 2, 4, 5, 8]]
>>> expand_list([1,2,4,5,6,7,8])
[[1, 2, 4, 5, 6, 7, 8]]
"""
list_in_list = [i for i in list_list if type(i) == list].copy()
try:
nbr_ans_list = max([len(i) for i in list_in_list])
ans = [list_list.copy() for i in range(nbr_ans_list)]
for (i,l) in enumerate(ans):
for (j,e) in enumerate(l):
if type(e) == list:
ans[i][j] = e[min(i,len(e)-1)]
# S'il n'y a pas de liste dans la liste (2e exemple)
except ValueError:
ans = [list_list]
return ans
def add_in_dict(dict1, dict2):
"""Merge dictionary keys and add the content from dict1 and dict2
:param dict1: first dictionary
:param dict2: second dictionary
:returns: merged and added dictionary
>>> add_in_dict({'a':1, 'b':2}, {'c':3, 'd': 4}) == {'d': 4, 'a': 1, 'c': 3, 'b': 2}
True
>>> add_in_dict({'a':1, 'b':2}, {'a':3, 'b': 4}) == {'a': 4, 'b': 6}
True
>>> add_in_dict({'a':1, 'b':2}, {'a':3, 'c': 4}) == {'a': 4, 'b': 2, 'c': 4}
True
"""
new_dict = {}
new_dict.update(dict1)
for (k,v) in dict2.items():
if k in new_dict.keys():
new_dict[k] += v
else:
new_dict[k] = v
return new_dict
def remove_in_dict(d, value = 0):
""" In a dictionary, remove keys which have certain value
:param d: the dictionary
:param value: value to remove
:returns: new dictionary whithout unwanted value
>>> remove_in_dict({'b': 1, 'a': 0}) == {'b': 1}
True
>>> remove_in_dict({'b': 1, 'a': 0}, 1) == {'a': 0}
True
"""
new_dict = {}
for (k,v) in d.items():
if v != value:
new_dict[k] = v
return new_dict
def convolution_dict(D1, D2, op = lambda x,y:x*y,\
op_key = lambda x,y: x + y, \
commutative = True, op_twice = lambda x,y: x + y):
"""Convolution of two dictionaries
:param D1: First dictionary
:param D2: Second dictionary
:param op: Operation of perform in value
:param commutative: keys are commutative?
:param op_twice: operation on value if the key appear twice
>>> convolution_dict({"a": 1, "b":3}, {"a":2, "":4}) == {"aa":2, "a": 4, "ba":6, "b":12}
True
>>> convolution_dict({"a": 1, "b":3}, {"a":2, "b":4}) == {"aa":2, "ab":10, "bb":12}
True
>>> convolution_dict({"a": 1, "b":3}, {"a":2, "b":4}, commutative = False) == {"aa":2, "ab":10, "bb":12}
False
>>> convolution_dict({"a": 1, "b":3}, {"a":2, "b":4}, commutative = False) == {"aa":2, "ab":4,"ba":6, "bb":12}
True
>>> convolution_dict({"a": 1, "b":3}, {"a":2, "b":4}, \
op_twice = lambda x,y:[x,y]) == {"aa":2, "ab":[4,6], "bb":12}
True
"""
new_dict = {}
for k1 in sorted(D1.keys()):
for k2 in sorted(D2.keys()):
if op_key(k1,k2) in new_dict.keys():
key = op_key(k1,k2)
new_dict[key] = op_twice(new_dict[key], op(D1[k1],D2[k2]))
elif op_key(k2,k1) in new_dict.keys() and commutative:
key = op_key(k2,k1)
new_dict[key] = op_twice(new_dict[key], op(D1[k1],D2[k2]))
else:
key = op_key(k1,k2)
new_dict[key] = op(D1[k1],D2[k2])
return new_dict
if __name__ == '__main__':
import doctest
doctest.testmod()
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