Ignite is Memcached compliant which enables users to store and retrieve distributed data from Ignite cache using any Memcached compatible client. For example you can use pylibmc (Python client for memcached) as described here: https://apacheignite.readme.io/v2.4/docs/memcached-support#python 2 solved Can pylibmc perform create, put and get cache operations in apache ignite? [closed]
This is the shortest: from scipy.ndimage import median_filter values = [1,1,1,0,1,1,1,1,1,1,1,2,1,1,1,10,1,1,1,1,1,1,1,1,1,1,0,1] print median_filter(values, 7, mode=”mirror”) and it works correctly in the edges (or you can choose how it works at the edges). And any general running X is done like this (running standard deviation as an example): import numpy from scipy.ndimage.filters import generic_filter values = … Read more
How about something like this? import re class context: grammar = r’and|or|#|\$|:|@|\w+’ subs = [ (r’\$(\w+)’, “context(‘\\1′)”), (r’!#(\w+)’, “intents(‘\\1′).isNot_()”), (r’#(\w+)’, “intents(‘\\1′).is_()”), (r’@(\w+):(\w+)’, “entities(‘\\1’).is_(‘\\2′)”), (r’@(\w+)’, “entities(‘\\1’).any()”) ] def __init__(self, val): self.val = val def parse(self): parsed = self.val for sub in self.subs: parsed = re.sub(*sub, parsed) return parsed >>> print(context(‘$foo\n#foo\n!#foo\n@foo\n@foo:bar’).parse()) context(‘foo’) intents(‘foo’).is_() intents(‘foo’).isNot_() entities(‘foo’).any() entities(‘foo’).is_(‘bar’) 1 … Read more
The following class is a quick and dirty implementation with no guarantees for efficiency but it provides the desired behavior. Should someone provide a better answer, I will gladly accept it! class SortedValuesDict: def __init__(self, args=None, **kwargs): “””Initialize the SortedValuesDict with an Iterable or Mapping.””” from collections import Mapping from sortedcontainers import SortedSet self.__sorted_values = … Read more
tl;dr; The method defined is recursive, you can call it enough times to force an Exception of type Recursion Error because it adds to the stack every time it calls itself. Doesn’t mean it’s the best approach though. By definition a recursive function is one that is meant to solve a problem by a finite … Read more
As @georg suggested, you should use *args to specify a function can take a variable number of unnamed arguments. args feeds the function as a tuple. As an iterable, this can be accepted directly by Python’s built-in sum. For example: def sum_it_up(*args): print(‘The total is {0}’.format(sum(args))) sum_it_up(1,4,7,10) # The total is 22 sum_it_up(1,2,0,0) # The … Read more
I think I see your problem: you’ve mistaken the meta-syntax of documentation for Python syntax. When a document describes a command with optional fields, brackets denote the option parts. This description style is at least 45 years old, dating back to the days when IBM drove all things computer in the western hemisphere. For help … Read more
Why not learn the numerical representations for each base? This is a common problem in Neural Machine Translation, where we seek to encode “words” with a meaning as (naively) numbers. The core idea is that different words should not be represented with simple numbers, but with a learned dense vector. The process of finding this … Read more
First and foremost, the example JSONs are not valid JSONs because keys in JSON has to be enclosed in “. However, if you do have two valid JSON strings, you could parse them into a dictionary, then compare the structure of the dictionary using this function: def equal_dict_structure(dict1, dict2): # If one of them, or … Read more
if you just want to print out text instead of list then use str.join # … print(”.join(b)) # or like this: text=””.join([(c + ” | ” + x + “\n”) for _ in range(5)]) print(text) # or python 3.6 style text=””.join(f”{c} | {x}\n” for _ in range(5)) 2 solved Why does my \n not work … Read more
Seems like you are using windows. Windows directory separator is \ not / try this way: df=pd.read_csv(‘C:\\Users\\user\\Desktop\\Work\\a.csv’) or import os file_path = os.path.sep.join([“C:”, “Users”, “user”, “Desktop”, “Work”, “a.csv”]) df = pd.read_csv(file_path) solved Python Cannot find file although the error says it exists
Try this? def numberToList(number): # base case if number == 0: return [] # recurse return numberToList(number / 10) + [ number % 10 ] Run it like this: >>> numberToList(1234) [4, 3, 2, 1] 1 solved append all Integers of an integer in a list in python using recursive function [closed]
Your code is not working because you are never changing the n variable. In your function you’re checking if n > 0 and it will always be Here is a fix: n = int(input(“?”)) def again_book(self): if self > 0: again_book(self – 1) print(self) again_book(n) Another way of doing it is using a while loop: … Read more
It is hard to debug without more information, but I think the issue is the spacing of your function handle. You defined command inside of the function handle but are trying to access it without returning the variable handle or calling it until the end. This makes me believe that you have a spacing issue … Read more
This also works: pairs = dict([tuple(namn[i:i+2]) for i in range(0, len(namn), 2)]) for name, age in sorted(pairs.items()): print(“%s: %d” % (name, age)) avg_age = sum(pairs.values())/ len(pairs) print(“Average Age: %f” % (avg_age)) Output: Anna: 27 Emelie: 32 Erik: 30 Johanna: 29 Jonas: 26 Josefine: 20 Kalle: 23 Lena: 22 Peter: 19 Average Age: 25.333333 You could … Read more