90% of this code is not by me

copilot_trials.py

# 90% of this code is not be me

import csv

def read_csv(filename):
	"""Reads a CSV file and returns a list of lists."""
	table = []
	with open(filename, 'r') as file:
		csv_reader = csv.reader(file)
		for row in csv_reader:
			table.append(row)
	return table

def read_csv_as_list_of_dicts(filename):
	"""Reads a CSV file and returns a list of dictionaries."""
	table = []
	with open(filename, 'r') as file:
		csv_reader = csv.DictReader(file)
		for row in csv_reader:
			table.append(row)
	return table

def get_str_upto_char(s, c):
	"""Returns the substring of s up to the first occurrence of c."""
	return s[:s.find(c)]

def read_csv_as_feeels_data(filename):
	"""Reads a CSV file and returns a list of dictionaries."""
	table = {}
	with open(filename, 'r') as file:
		csv_reader = csv.DictReader(file)
		for row in csv_reader:
			actual_id = get_str_upto_char(row['id'], ';')
			if actual_id not in table:
				table[actual_id] = {}
			table[actual_id][row['layer_name'][1:]] = row['figma_text']
	return table

def turn_list_of_dicts_to_csv(list_of_dicts, filename):
	"""Turns a list of dictionaries into a CSV file."""

	with open(filename, 'w') as file:
		fieldnames = list_of_dicts[0].keys()
		csv_writer = csv.DictWriter(file, fieldnames=fieldnames)
		csv_writer.writeheader()
		for row in list_of_dicts:
			csv_writer.writerow(row)

input = 'raw_figma_data.csv'
output = 'FEEELS.csv'

table = list(read_csv_as_feeels_data(input).values())
turn_list_of_dicts_to_csv(table, output)


# ===

import os
from PIL import Image
from argparse import ArgumentParser

def is_image_file(filename):
	return any(filename.endswith(extension) for extension in [".png", ".jpg", ".jpeg"])

def load_img(filepath):
	img = Image.open(filepath).convert('RGB')
	return img

def resize_img(img, size):
	return img.resize(size, Image.BILINEAR)

def resize_img_to_height(img, height):
	w, h = img.size
	ratio = height / h
	return img.resize((int(w * ratio), height), Image.BILINEAR)

def save_as_png(img, filepath):
	img.save(filepath, "PNG")

def process_img(filepath, size):
	img = load_img(filepath)
	img = resize_img(img, size)
	save_as_png(img, filepath)

def iterate_over_paths_in_current_dir():
	for filename in os.listdir(os.getcwd()):
		if is_image_file(filename):
			process_img(filename, (256, 256))

if __name__ == "__main__":
	args = ArgumentParser()
	args.add_argument("--height", type=int, default=200)
	args = args.parse_args()

	iterate_over_paths_in_current_dir()