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# Another way to populate a dict when using enumerate | |
my_dict = {} | |
my_string = 'Something' | |
for i, my_dict[i] in enumerate(my_string): | |
pass | |
# Output: | |
# {0: 'S', 1: 'o', 2: 'm', 3: 'e', 4: 't', 5: 'h', 6: 'i', 7: 'n', 8: 'g'} |
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from itertools import groupby | |
test_list = ['geek_1', 'coder_2', 'geek_4', 'coder_3', 'pro_3'] | |
test_list.sort() | |
res = [list(i) for j, i in groupby(test_list, | |
lambda a: a.split('_')[0])] | |
#The original list is : [‘coder_2’, ‘coder_3’, ‘geek_1’, ‘geek_4’, ‘pro_3’] |
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test_list = [{'gfg' : [1, 5, 6, 7], 'good' : [9, 6, 2, 10], 'CS' : [4, 5, 6]}, | |
{'gfg' : [5, 6, 7, 8], 'CS' : [5, 7, 10]}, | |
{'gfg' : [7, 5], 'best' : [5, 7]}] | |
# Concatenate Similar Key values | |
# Using loop | |
res = dict() | |
for dict in test_list: | |
for list in dict: | |
if list in res: |
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# Given a list [[1,2,3], [4,5,6], [7,8,9]] | |
{words[0]:words[1:] for words in lst} | |
#result | |
#{1: [2, 3], 4: [5, 6], 7: [8, 9]} |
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#Given a list of lists t | |
flat_list = [item for sublist in t for item in sublist] | |
flat_list = [] | |
for sublist in t: | |
for item in sublist: | |
flat_list.append(item) | |
# OR | |
flatten = lambda t: [item for sublist in t for item in sublist] |
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import websocket | |
try: | |
import thread | |
except ImportError: | |
import _thread as thread | |
import time | |
import argparse | |
import socks | |
parser = argparse.ArgumentParser() |
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def intersection(horizontal, vertical): | |
# https://en.wikipedia.org/wiki/Line%E2%80%93line_intersection | |
# Horizontal x y x y | |
# Vertical x y x y | |
# x1, y1, x2, y2, x3, y3, x4, y4 | |
# 0 1 2 3 0 1 2 3 | |
result = [] | |
x1, x2, x3, x4, y1, y2, y3, y4 = int(horizontal[0]), int(horizontal[2]), int(vertical[0]), int(vertical[2]), int(horizontal[1]), int(horizontal[3]), int(vertical[1]), int(vertical[3]) |
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def clean_blocks(): | |
for block in bpy.data.meshes: | |
if block.users == 0: | |
bpy.data.meshes.remove(block) | |
for block in bpy.data.materials: | |
if block.users == 0: | |
bpy.data.materials.remove(block) | |
for block in bpy.data.textures: |
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def load_images_from_folder(folder): | |
images = [] | |
for filename in os.listdir(folder): | |
img = cv2.imread(os.path.join(folder,filename)) | |
if img is not None: | |
images.append(img) | |
return images |
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def merge_list(a_list): | |
"""Merge together items from list of lists sequentially | |
""" | |
return [list(i) for i in list(zip(*a_list))] | |
""" | |
i. e. | |
[[1,2,3], [4,5,6]] | |
result: | |
[[1,4], [2,5], [3,6]] |
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