[英]Dynamic dictionary recursion in Python3
我已經為此工作了很長時間,需要一些幫助。 我正在嘗試使用fakerr創建字典。 如果只是那么簡單。 最初,字典是平的。 鑰匙和物品。 如果鍵的第一個字母為'B'或'M',它將把該字符串轉換為包含5個鍵的字典,並繼續執行此操作,直到找不到以這兩個字母中的任何一個開頭的字母為止。 我知道,現在沒有遞歸發生。 這就是為什么我需要幫助。 我試圖找出如何正確遞歸而不是對深度進行硬編碼。
Starting Dictionary:
{
"Marcia": "https://www.skinner.biz/categories/tags/terms.htm",
"Nicholas": "https://scott-tran.com/",
"Christopher": "https://www.ellis.com/",
"Paul": "https://lopez.com/index/",
"Jennifer": "https://www.sosa.com/wp-content/main/login.php"
}
Marcia應該擴展到這個...
Example:
"Marcia": {
"Alexander": "http://hicks.net/home.html",
"Barry": {
"Jared": "https://www.parker-robinson.com/faq.html",
"Eddie": "https://www.smith-thomas.com/",
"Ryan": "https://www.phillips.org/homepage/",
"Mary": {
"Alex": "http://www.perry.com/tags/explore/post.htm",
"Joseph": "https://www.hansen.com/main/list/list/index/",
"Alicia": "https://www.tran.biz/wp-content/explore/posts/",
"Anna": "http://lee-mclaughlin.biz/search/login/",
"Kevin": "https://blake.net/main/index/"
}
"Evan": "http://carroll.com/homepage.html"
}
"Sharon": "https://www.watson.org/categories/app/login/",
"Hayley": "https://www.parks.com/",
"William": "https://www.wyatt-ware.com/"
}
我的代碼比動態代碼更具手動性,因為我必須明確地知道現在字典中有很多層次,而不是動態地找出它。
這是我可以在2級深度下工作的東西,但是我想找到任何以'B'或'M'開頭並對其進行操作的鍵。
import json
from build_a_dictionary import add_dic
from faker import Faker
dic = add_dic(10)
dic1 = {}
dic2 = {}
def build_dic(dic_len):
dic1 = {}
fake = Faker()
if len(dic1) == 0:
dic1 = add_dic(dic_len)
print(json.dumps(dic1, indent=4))
for k, v in dic1.items():
dic2[k] = add_dic(dic_len)
for key in dic2[k].keys():
for f in key:
if f == 'B' or f == 'M':
dic2[k][key] = add_dic(dic_len)
return dic2
這是我寫的add_dic()中的代碼:
import string, time
from faker import Faker #had to install with pip
fake = Faker()
dic = {}
dics = {}
key = ""
def add_dic(x):
dic={}
start = time.time()
if x > 690:
print("Please select a value under 690")
sys.exit()
for n in range(x):
while len(dic) < x:
key = fake.first_name()
if key in dic.keys():
break
val = fake.uri()
dic[key] = val
end = time.time()
runtime = end - start
return dic
您只是在做錯事情,如果您希望它是遞歸的,則將該函數編寫為遞歸函數。 本質上,它是字典的自定義(遞歸)映射函數。 至於您期望的字典,我不確定您是如何讓Faker
每次確定性地給您同樣的輸出的。 這是隨機的...
注意:對此沒有任何“動態”,它只是一個遞歸映射函數。
from faker import Faker
import pprint
pp = pprint.PrettyPrinter(indent=4)
fake = Faker()
def map_val(key, val):
if key[0] == 'M' or key[0] == 'B':
names = [(fake.first_name(), fake.uri()) for i in range(5)]
return {k : map_val(k, v) for k,v in names}
else:
return val
#uncomment below to generate 5 initial names
#names = [(fake.first_name(), fake.uri()) for i in range(5)]
#initial_dict = {k : v for k,v in names}
initial_dict = {
"Marcia": "https://www.skinner.biz/categories/tags/terms.htm",
"Nicholas": "https://scott-tran.com/",
"Christopher": "https://www.ellis.com/",
"Paul": "https://lopez.com/index/",
"Jennifer": "https://www.sosa.com/wp-content/main/login.php"
}
dict_2 = {k : map_val(k,v) for k,v in initial_dict.items()}
pp.pprint(dict_2)
輸出:
rpg711$ python nested_dicts.py
{ 'Christopher': 'https://www.ellis.com/',
'Jennifer': 'https://www.sosa.com/wp-content/main/login.php',
'Marcia': { 'Chelsea': 'http://francis.org/category.jsp',
'Heather': 'http://www.rodgers.com/privacy.jsp',
'Jaime': 'https://bates-molina.com/register/',
'John': 'http://www.doyle.com/author.htm',
'Kimberly': 'https://www.harris.org/homepage/'},
'Nicholas': 'https://scott-tran.com/',
'Paul': 'https://lopez.com/index/'
}
謝謝大家的幫助。 我設法弄清楚了。 現在,它可以根據需要構建動態字典或動態json。
import sys, json
from faker import Faker
fake = Faker()
def build_dic(dic_len, dic):
if isinstance(dic, (list, tuple)):
dic = dict(dic)
if isinstance(dic, dict):
for counter in range(len(dic)):
for k,v in dic.items():
if k[0] == 'B' or k[0] == "M":
update = [(fake.first_name(), fake.uri()) for i in range(5)]
update = dict(update)
dic.update({k: update})
return dic
def walk(dic):
for key, item in dic.items():
#print(type(item))
if isinstance(item, dict):
build_dic(5, item)
walk(item)
return dic
a = build_dic(10, ([(fake.first_name(), fake.uri()) for i in range(10)]))
walk(a)
print(json.dumps(a, indent=4))
遞歸是函數調用自身時; 設計遞歸函數時,牢記退出條件(即遞歸何時停止)很重要。
讓我們考慮一個人為設計的示例,它增加一個數字直到達到某個值:
def increment_until_equal_to_or_greater_than_value(item, target):
print 'item is', item,
if item < target:
print 'incrementing'
item += 1
increment_until_equal_to_or_greater_than_value(item, target)
else:
print 'returning'
return item
increment_until_equal_to_or_greater_than_value(1, 10)
和輸出
item is 1 incrementing
item is 2 incrementing
item is 3 incrementing
item is 4 incrementing
item is 5 incrementing
item is 6 incrementing
item is 7 incrementing
item is 8 incrementing
item is 9 incrementing
item is 10 returning
您可以看到我們已經在if
語句中定義了遞歸部分,並在else
定義了退出條件。
我整理了一個在嵌套數據結構上顯示遞歸函數的代碼段。
它不能完全解決您的問題,因此您可以通過剖析並使其適合您的用例來學習。
# our recursive method
def deep_do_something_if_string(source, something):
# if source is a dict, iterate through it's values
if isinstance(source, dict):
for v in source.itervalues():
# call this method on the value
deep_do_something_if_string(v, something)
# if source is a list, tuple or set, iterate through it's items
elif isinstance(source, (list, tuple, set)):
for v in source:
deep_do_something_if_string(v, something)
# otherwise do something with the value
else:
return something(source)
# a test something to do with the value
def print_it_out(value):
print value
# an example data structure
some_dict = {
'a': 'value a',
'b': [
{
'c': 'value c',
'd': 'value d',
},
],
'e': {
'f': 'value f',
'g': {
'h': {
'i': {
'j': 'value j'
}
}
}
}
}
deep_do_something_if_string(some_dict, print_it_out)
和輸出
value a
value c
value d
value j
value f
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