Reorganised the code into a PyPI package format

This commit is contained in:
Remi Ehounou
2021-05-23 16:45:16 -04:00
parent 00e46546f4
commit 43de559f08
43 changed files with 181 additions and 159 deletions

View File

@ -0,0 +1,70 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "abstract-broad",
"metadata": {},
"source": [
"# Program to read through folders in a file-path and spit out description"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "similar-algeria",
"metadata": {},
"outputs": [],
"source": [
"def find_algorithm():\n",
" import os # To enable you walk through the OS directory\n",
" import re # To enable pattern recognition\n",
" \n",
" \n",
" # Take file-path and extract names of files in file-path as list data type\n",
" check_folder = input(\"Please enter the file-path of the folder: \\n\")\n",
" found_items = os.listdir(check_folder)\n",
" \n",
" \n",
" # Initialize what the pattern to be searched for should look like\n",
" pattern = \"\\W\\W\\W\"\n",
" \n",
" # Look into the individual txt files and extraxt the description \n",
" for items in range(0, len(found_items)):\n",
" print(f\"\\n({items + 1}): I found the file named: {found_items[items]}\")\n",
" inside_file = check_folder + '\\\\' + found_items[items]\n",
" \n",
" with open(inside_file, mode ='r', encoding = 'utf-8') as myfile:\n",
" print(\"Inside the file, I found this description: \\n \")\n",
" contents = myfile.readlines()\n",
" \n",
" for indexing in range(0, len(contents)):\n",
" if re.search(pattern, contents[indexing]):\n",
" print(contents[indexing+1])\n",
" break\n",
" \n",
" print(\"\\n\\n\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

View File

@ -0,0 +1,31 @@
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as np
fig = plt.figure()
ax = fig.gca(projection='3d')
# Make data.
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
print(Z[1])
# Plot the surface.
surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
linewidth=0, antialiased=False)
# Customize the z axis.
ax.set_zlim(-1.01, 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))
# Add a color bar which maps values to colors.
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()

View File

@ -0,0 +1,31 @@
library(reticulate)
library(flacco)
library(parallelMap)
library(parallel)
# Other packages to install
# plyr
# RANN
# numDeriv
# e1071
# mda - needs to install gcc-fortran on Operating system
genTestFeatures <- function(path,pypath, upper=10, lower=-10, n) {
use_python(pypath)
source_python(path)
X = createInitialSample(n.obs = 500, dim = n, control = list(init_sample.type = 'lhs', init_sample.lower = lower, init_sample.upper = upper))
y = apply(X, 1, main)
testfunc <- createFeatureObject(X = X, y = y, fun = main, lower = lower, upper = upper, blocks = 10)
n.cores = detectCores()
parallelStart(mode = "local", logging = FALSE, show.info = FALSE)
system.time((levelset.par = calculateFeatures(testfunc , control = list('cm_angle.show_warnings'=TRUE, 'cm_grad.show_warnings'=TRUE, 'ic.show_warnings'=TRUE))))
parallelStop()
}