greatest | C testing library in 1 file
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kandi X-RAY | greatest Summary
A testing system for C, contained in 1 header file.
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from functools import reduce
from math import gcd as _gcd
def gcd(numbers):
return reduce(_gcd, numbers)
gcd([8, 36, 28]) # 4
const gcd = (...arr) => {
const _gcd = (x, y) => (!y ? x : gcd(y, x % y));
return [...arr].reduce((a, b) => _gcd(a, b));
};
gcd(8, 36); // 4
gcd(...[12, 8, 32]); // 4
def gcd(number1, number2):
"""
Greatest common divisor
input: two positive integer 'number1' and 'number2'
returns the greatest common divisor of 'number1' and 'number2'
"""
# precondition
assert (
isinstance(numb
def _tf_gcd(x1, x2): # pylint: disable=missing-function-docstring
def _gcd_cond_fn(_, x2):
return math_ops.reduce_any(x2 != 0)
def _gcd_body_fn(x1, x2):
# math_ops.mod will raise an error when any element of x2 is 0. To avoid
# tha
def extended_gcd(a: int, b: int) -> tuple[int, int, int]:
"""
Extended Euclid's Algorithm : If d divides a and b and d = a*x + b*y for integers x
and y, then d = gcd(a,b)
>>> extended_gcd(10, 6)
(2, -1, 2)
>>
Community Discussions
Trending Discussions on greatest
QUESTION
Here the part of my dataset
...ANSWER
Answered 2022-Apr-03 at 15:18Based on the description, perhaps this helps
QUESTION
I am trying to solve this problem: https://projecteuler.net/problem=11 However, this part confuses me:
What is the greatest product of four adjacent numbers in the same direction (up, down, left, right, or diagonally) in the 20×20 grid?
what does in the same direction
and up, down, left, right or diagonally
mean?
Is it just me or is the language vague here?
this is what I have tried so far:
...ANSWER
Answered 2022-Mar-28 at 18:56You need to check each row, column, and diagonal of 4. This means you need to check:
QUESTION
I have the following dataframe:
...ANSWER
Answered 2022-Mar-15 at 18:12Don't specify the size in aes. Use the scale function
For another suggestion regarding line design see below.
QUESTION
Is there a way to obtain the greatest value representable by the floating-point type float
which is smaller than 1
.
ANSWER
Answered 2022-Mar-08 at 23:51You can use the std::nextafter
function, which, despite its name, can retrieve the next representable value that is arithmetically before a given starting point, by using an appropriate to
argument. (Often -Infinity
, 0
, or +Infinity
).
This works portably by definition of nextafter
, regardless of what floating-point format your C++ implementation uses. (Binary vs. decimal, or width of mantissa aka significand, or anything else.)
Example: Retrieving the closest value less than 1 for the double
type (on Windows, using the clang-cl compiler in Visual Studio 2019), the answer is different from the result of the 1 - ε
calculation (which as discussed in comments, is incorrect for IEEE754 numbers; below any power of 2, representable numbers are twice as close together as above it):
QUESTION
In my application we have few test cases which are configured with GitHub workflow,Even I do have only space related changes on file but still getting below error. Not sure why my specs are still failing it was working fine before.
...ANSWER
Answered 2022-Jan-17 at 07:25You are using PostGreSQL 14, aren't you ?
Because with postgres 13 and before, this should work, see the test result in dbfiddle.
And I confirm that this doesn't work with postgres 14, see the test result in dbfiddle.
The reason is explained in the PostGres 14 manual :
User-defined objects that reference certain built-in array functions along with their argument types must be recreated (Tom Lane)
Specifically, array_append(), array_prepend(), array_cat(), array_position(), array_positions(), array_remove(), array_replace(), and width_bucket() used to take anyarray arguments but now take anycompatiblearray. Therefore, user-defined objects like aggregates and operators that reference those array function signatures must be dropped before upgrading, and recreated once the upgrade completes.
To make it working, you can do instead :
QUESTION
Dears, I have dataframe with 4 columns: -club name, formacja- player position, overall- skills points, player_url- name of player
...ANSWER
Answered 2022-Feb-02 at 13:42To get the two largest numbers you can do:
sorted([3,4,5,2])[-2:]
It will output [4,5]
You can use it also in the pivot function:
QUESTION
I have a function like this:
...ANSWER
Answered 2022-Jan-31 at 20:57Equivalent immutable one-liner is:
QUESTION
Let's say I have the following list, corresponding to stock prices in time:
...ANSWER
Answered 2022-Jan-28 at 10:46Don't do complicated things.
To compute the cumulated positive differences, you just want to sum
the diff
ignoring the negative values (with clip
).
Let's just do that:
QUESTION
I am using a table called covid_vaccinations.
To briefly explain about the table, it tracks down all the countries' vaccination completion by every single day from Feb xx, 2020 to Jan XX, 2022.
- The name of the countries are called 'location' in this table.
- The countries (location) are also categorized in the column of 'continent'
To find the people who are fully vaccinated in Asia, I used the query below:
...ANSWER
Answered 2022-Jan-20 at 09:00You might be able to get away with just using a LIMIT
query. A slight modification of your first query:
QUESTION
My first DataFrame consists of the following:
...ANSWER
Answered 2022-Jan-11 at 14:49You want to extract the value (probability) from df2
using df1.time
as index and df2.category
as columns. Then, you can sort the values and drop duplicates.
The first step is basically a case of the deprecated lookup
function. You can use numpy indexing instead:
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