Valérien brayevalerien

Title	Category	Original Chinese	English Translation
Soccer Scoring	Sports	一名足球运动员在球场上带球奔跑，快速传球，然后射门得分。镜头聚焦于运动员的脚下动作和射门瞬间。	A soccer player runs with the ball on the field, quickly passes, and then shoots to score. The camera focuses on the player’s footwork and the moment of the shot.
Basketball Shot	Sports	篮球运动员运球过人，跳起投篮，篮球飞入篮筐，运动员庆祝进球。画面只专注于这一个投篮动作。	A basketball player dribbles past opponents, jumps for a shot, the ball flies into the hoop, and the player celebrates the score. The scene focuses solely on this one shooting action.
Tennis Serve	Sports	网球选手准备发球，力量十足地将球击出。画面聚焦在发球的瞬间，球飞越球网，落向对手场地。	A tennis player prepares to serve, hitting the ball with full force. The shot focuses on the serving moment as the ball flies over the net and lands in the opponent’s court.
Runner Sprint	Sports	一位跑步者在跑道上快速奔跑，镜头跟随他的步伐，展示腿部肌肉的紧张和跑步的速度感。	A runner sprints on a track, with the camera following his steps, showcasing

Monokai theme color codes

This document lists the colors used in the Monokai Pro theme with the Classic filter. Please check the Monokai Pro website for more informations.

Monokai Pro with Classic filter colors:

	Preview	Hexadecimal	RGB
Activity Bar Background		`#272822`	(39, 40, 34)
Activity Bar Foreground		`#f8f8f2`	(248, 248, 242)

	import argparse
	import os

	from PIL import Image
	from PIL.Image import Resampling


	def get_args():
	parser = argparse.ArgumentParser(
	"Bucketize",

	import os
	import argparse
	import numpy as np
	from PIL import Image
	from tqdm import tqdm


	def add_gaussian_noise(image: Image, factor: float):
	"""
	Add a given amount of white guassian noise to an image.

	transformer.transformer_blocks.0.norm1.linear
	transformer.transformer_blocks.0.norm1_context.linear
	transformer.transformer_blocks.0.attn.to_q
	transformer.transformer_blocks.0.attn.to_k
	transformer.transformer_blocks.0.attn.to_v
	transformer.transformer_blocks.0.attn.add_k_proj
	transformer.transformer_blocks.0.attn.add_v_proj
	transformer.transformer_blocks.0.attn.add_q_proj
	transformer.transformer_blocks.0.attn.to_out.0
	transformer.transformer_blocks.0.attn.to_add_out

	plot_settings = {'ytick.labelsize': 16,
	'xtick.labelsize': 16,
	'font.size': 22,
	'figure.figsize': (10, 5),
	'axes.titlesize': 22,
	'axes.labelsize': 18,
	'lines.linewidth': 2,
	'lines.markersize': 3,
	'legend.fontsize': 11,
	'mathtext.fontset': 'stix',

	import random
	import numpy as np

	class MarkovChainGenerator:
	def __init__(self, order=1, length=10):
	self.order = order
	self.length = length
	self.transitions = {}

	def fit(self, X):

	import random

	def print_list(list_to_print: list, title: str = None, bullet_point: str = "•", max_items: int = None, randomize: bool = False, indent_level: int = 0) -> None:
	"""
	Prints a list nicely. Handles sublists. Tupples will be displayed as items: ('e1', 'e2', ...).

	Author: Valérien BRAYE (@brayevalerien on github)

	Args:
	list_to_print (list): the list to be printed