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quicksort=: (($:@(<#[), (=#[), $:@(>#[)) ({~ ?@#)) ^: (1<#) | |
List =: ?. 10 $100 | |
echo quicksort List |
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############### | |
spent = 171.376666667 | |
tax_rate = .10 | |
############### | |
cost = spent / (1 + tax_rate) | |
taxed = spent - cost |
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def calculate_taxed_ammount( spent:float, tax_rate:float): | |
cost = spent / (1 + tax_rate) | |
taxed = spent - cost | |
print("Spent: {}\nCost: {}\nTaxed: {}".format(spent, cost, taxed)) | |
calculate_taxed_ammount( spent = 171.376666667, tax_rate = .10) | |
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import numpy as np | |
def create_n_depth_matrix(n: int) -> np.array: | |
"""Function used to generate all binary permutations of length n. | |
Binary permutations of n=3 for example would include: | |
[0,0,0],[0,0,1],[0,1,0],[0,1,1],[1,0,0],[1,0,1],[1,1,0],[1,1,1] | |
Binary permuataions are arranged in a 3d matrix of shape (n, a, b) | |
such that a*b == (2^n) | |
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from functools import reduce | |
flatten = lambda lst: reduce(lambda l, i: l + flatten(i) if isinstance(i, (list, tuple)) else l + [i], lst, []) | |
test = [[[[1,0],1],0],1] | |
print(flatten(test)) | |
## Credit https://stackoverflow.com/questions/952914/making-a-flat-list-out-of-list-of-lists-in-python |
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import datacube | |
import xarray as xr | |
def export_xarray_to_netcdf(ds:xr.Dataset, path:str): | |
""" | |
Exports an xarray.Dataset as a single NetCDF file. | |
Parameters | |
---------- | |
ds: xarray.Dataset | |
The Dataset to export. |
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