Respan Dataset Explorer

R	G	B
160	157	140
129	131	117
110	121	110
83	112	106
70	111	108
58	112	113


Using the following formula for the above table, find the %R, %G and %B for each entry.

% R = (R/R+G+B) ×100

% G = (G/R+G+B) ×100

% B = (B/R+G+B) ×100

To calculate the %R, %G, and %B for each entry according to the given formula, we need to insert the values from R, G, and B respectively. Remember, the formula % R = (R/(R+G+B)) ×100 (and similarly for %G and %B) requires to sum up R, G, and B first before dividing by each component.

Let's calculate the percentages for each entry:

### Entry 1: R=160, G=157, B=140
Total = R+G+B = 160+157+140 = 457

- %R = (160/457)×100 = 35.01%
- %G = (157/457)×100 = 34.36%
- %B = (140/457)×100 = 30.63%

### Entry 2: R=129, G=131, B=117
Total = R+G+B = 129+131+117 = 377

- %R = (129/377)×100 = 34.22%
- %G = (131/377)×100 = 34.75%
- %B = (117/377)×100 = 31.03%

### Entry 3: R=110, G=121, B=110
Total = R+G+B = 110+121+110 = 341

- %R = (110/341)×100 = 32.26%
- %G = (121/341)×100 = 35.48%
- %B = (110/341)×100 = 32.26%

### Entry 4: R=83, G=112, B=106
Total = R+G+B = 83+112+106 = 301

- %R = (83/301)×100 = 27.57%
- %G = (112/301)×100 = 37.21%
- %B = (106/301)×100 = 35.22%

### Entry 5: R=70, G=111, B=108
Total = R+G+B = 70+111+108 = 289

- %R = (70/289)×100 = 24.22%
- %G = (111/289)×100 = 38.41%
- %B = (108/289)×100 = 37.37%

### Entry 6: R=58, G=112, B=113
Total = R+G+B = 58+112+113 = 283

- %R = (58/283)×100 = 20.49%
- %G = (112/283)×100 = 39.58%
- %B = (113/283)×100 = 39.93%

These values give an insight into the distribution of the red, green, and blue components in each entry as percentages of the total color composition.

DO the same for the following;

R	G	B
101	118	108
80	122	119
111	129	119

To find the %R, %G, and %B for each of the given entries using the given formula, we'll follow the same approach. Here are the calculations:

### Entry 1: R=101, G=118, B=108
Total = R+G+B = 101+118+108 = 327

- %R = (101/327)×100 ≈ 30.89%
- %G = (118/327)×100 ≈ 36.09%
- %B = (108/327)×100 ≈ 33.03%

### Entry 2: R=80, G=122, B=119
Total = R+G+B = 80+122+119 = 321

- %R = (80/321)×100 ≈ 24.92%
- %G = (122/321)×100 ≈ 38.01%
- %B = (119/321)×100 ≈ 37.07%

### Entry 3: R=111, G=129, B=119
Total = R+G+B = 111+129+119 = 359

- %R = (111/359)×100 ≈ 30.92%
- %G = (129/359)×100 ≈ 35.93%
- %B = (119/359)×100 ≈ 33.15%

These percentages reveal how much each color component (R, G, B) contributes to the total color output in each of the entries.

Explain this ML model results to a non technical person: Graphite runs several Machine learning algorithms that work best with binary classification problems by using 80% of the data (7392 rows) for training, and 20% (1848 rows) for a test dataset.Final model scores based on a test dataset (1848 rows): Best Model Light Gradient Boosting Machine. F1 80.94%.Accuracy 85.98%. AUC 92.67%. Precision 82.71%. Recall 79.25% 

Alright, so let's break this down into simpler terms. Imagine you have a big jar of red and blue marbles, and you're trying to create a machine (like a robot) that can predict the color of the marbles without seeing them.

The machine is trained by showing it lots of examples. We took a large group of these marbles--let's say 9,240 in total--and we first showed the machine 80% of them (which is 7,392 marbles) to help it learn how to differentiate between red and blue. This part of the process is called "training" because just like in school, the machine is learning from these examples.

Then, to see how well our machine learned, we tested it with the remaining 20% of the marbles (1,848 marbles) that we didn't show it during its learning phase. This is like giving it an exam to see how well it has learned to distinguish between the two colors of marbles.

The machine we're talking about is a very smart algorithm called Light Gradient Boosting Machine. It's really good at making these sorts of predictions (or guesses) whether something is one thing or another, in our case, if a marble is red or blue.

Here's how it did on its test:

- **Accuracy (85.98%)**: This means that out of all the marbles it tried to predict, it guessed nearly 86% of them correctly. So, if it made 100 guesses, it would be right about 86 times.

- **Precision (82.71%)**: This tells us that when the machine guessed a marble was a certain color (let's say red), it was right about 83 times out of 100. This is important because it helps us trust its guesswork.

- **Recall (79.25%)**: This is about how good the machine was at finding all the marbles of a particular color. For example, if there were 100 red marbles, it would correctly identify 79 of them. It’s like saying, "Of all the actual red marbles, I found about 79%."

- **F1 Score (80.94%)**: This score is a bit like a balance between precision and recall. It means the machine is quite balanced in its guesswork, not favoring precision or recall too much but doing well overall.

- **AUC (92.67%)**: Think of this as the machine's ability to tell the difference between red and blue marbles very clearly. A higher score, like ours, means it's really good at this, almost like it can see the difference in shades that we can't.

In simple terms, we taught a very smart machine how to tell the difference between two types of things, tested it, and found out it's quite good at it, especially at understanding the subtle differences between the two, almost like it can see something we can't.

                            As a prompt generator for a generative AI called "Midjourney", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image.
                            
                            Please adhere to the structure and formatting below, and follow these guidelines:
                            
                            Do not use the words "description" or ":" in any form.
                            Do not place a comma between [ar] and [v].
                            Write each prompt in one line without using return.
                            Structure:
                            [1] = 一瓶乳霜瓶，乳霜瓶上有水泡，在一堆冰块的场景里，
                            [2] = a detailed description of [1] with specific imagery details.
                            [3] = a detailed description of the scene's environment.
                            [4] = a detailed description of the compositions.
                            [5] = a detailed description of the scene's mood, feelings, and atmosphere.
                            [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1].
                            [7] =  a detailed description of the scene's mood, feelings, and atmosphere.
                            [ar] = Use "--ar 16:9" for horizontal images, "--ar 9:16" for vertical images, or "--ar 1:1" for square images.
                            [v] = Use "--niji 5" for Japanese art style, or "--v 5.2" for other styles.
                            
                            
                            Formatting:
                            Follow this prompt structure: "/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]".
                            
                            Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization.
                            
                            Write your prompts in english.
                            Do not describe unreal concepts as "real" or "photographic".
                            Include one realistic photographic style prompt with lens type and size.
                            Separate different prompts with two new lines.
                            Example Prompts:
                            
                            /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2
                            /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2
                            /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5
                                                        

/imagine prompt: a bottle of neon green serum, glowing brightly, with iridescent bubbles floating on its surface, surrounded by shimmering ice crystals, reflecting fluorescent colors in a dark and mysterious laboratory, creating an otherworldly visual spectacle, captured with a Canon EOS R5 camera, 100mm macro lens, emphasizing the serum's luminescence, in a style reminiscent of psychedelic artwork. --ar 16:9 --v 5.2

/imagine prompt: an ancient crystal amulet, emitting a soft ethereal glow, suspended in mid-air within a mystical chamber, adorned with intricate runes and symbols, as shadows dance around it, casting a magical aura, set in a hidden underground cavern filled with sparkling geodes and ancient artifacts, evoking a sense of mystery and wonder, portrayed in a detailed fantasy illustration style. --ar 9:16 --v 5

/imagine prompt: a futuristic cityscape at night, towering skyscrapers illuminated with vibrant holographic lights, bustling hover vehicles zipping through neon-lit streets below, reflecting off sleek glass buildings, against a star-filled sky, capturing the essence of a technologically advanced metropolis, in a cyberpunk aesthetic, lens-flare photography with a Sony A7III camera, 35mm lens, wide-angle perspective, enhancing the urban sprawl and high-tech atmosphere. --ar 16:9 --v 5

/imagine prompt: a mystical forest clearing, bathed in golden sunlight filtering through lush green foliage, illuminating a tranquil pond with lily pads and colorful blossoms floating on its surface, surrounded by ancient trees with twisting roots and moss-covered stones, a serene and enchanting atmosphere filled with the sounds of nature, in a soft and dream-like painting style, capturing the harmony of the natural world. --ar 1:1 --v 5.2

Assistant: سلام! چگونه می توانم به شما کمک کنم؟
User: جمله (مادر ج ن ده ) رو پیش پردازش کن و بگو آیا این جمله برای افراد زیر 15 سال مناسب است؟فقط بگو بله یا خیر.
Assistant:

متاسفانه من قادر به پردازش متن فارسی و تشخیص سن افراد نیستم.

                            As a prompt generator for a generative AI called "Midjourney", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image.
                            
                            Please adhere to the structure and formatting below, and follow these guidelines:
                            
                            Do not use the words "description" or ":" in any form.
                            Do not place a comma between [ar] and [v].
                            Write each prompt in one line without using return.
                            Structure:
                            [1] = 一瓶化妆品乳霜，乳霜瓶上有水泡，在一堆冰块的场景里，
                            [2] = a detailed description of [1] with specific imagery details.
                            [3] = a detailed description of the scene's environment.
                            [4] = a detailed description of the compositions.
                            [5] = a detailed description of the scene's mood, feelings, and atmosphere.
                            [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1].
                            [7] =  a detailed description of the scene's mood, feelings, and atmosphere.
                            [ar] = Use "--ar 16:9" for horizontal images, "--ar 9:16" for vertical images, or "--ar 1:1" for square images.
                            [v] = Use "--niji 5" for Japanese art style, or "--v 5.2" for other styles.
                            
                            
                            Formatting:
                            Follow this prompt structure: "/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]".
                            
                            Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization.
                            
                            Write your prompts in english.
                            Do not describe unreal concepts as "real" or "photographic".
                            Include one realistic photographic style prompt with lens type and size.
                            Separate different prompts with two new lines.
                            Example Prompts:
                            
                            /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2
                            /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2
                            /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5
                                                        

/imagine prompt: A bottle of luxury skincare serum, gold flakes floating inside, placed on a marble vanity, surrounded by fresh flowers and crystal jewelry, in a luxurious and upscale bathroom, bathed in soft natural light, serene and elegant atmosphere, captured with a Canon EOS 5D Mark IV camera, 85mm lens, focusing on the shimmering details of the serum, in a sophisticated and high-end photography style. --ar 9:16 --v 5.2

/imagine prompt: A jar of homemade jam, overflowing with vibrant berries, placed on a rustic wooden table, accompanied by freshly baked bread and a vintage silver spoon, in a cozy farmhouse kitchen, filled with warm morning light, inviting and nostalgic ambiance, captured with a Fujifilm X-T4 camera, 35mm lens, emphasizing the rich textures and colors of the jam, in a heartwarming and nostalgic painting style. --ar 1:1 --v 5

/imagine prompt: An antique pocket watch, intricate engravings on the surface, resting on a bed of autumn leaves in a mystical forest, surrounded by ethereal glowing fireflies, under a canopy of shimmering stars, magical and enchanting setting, captured with a Sony A7III camera, 50mm lens, focusing on the watch's intricate details, in a dreamy and surreal artwork style. --ar 16:9 --v 5

/imagine prompt: A set of colorful macarons arranged on a delicate porcelain plate, against a backdrop of pastel-colored balloons floating in the sky, in a whimsical and festive outdoor party setting, filled with laughter and joy, captured with a Nikon Z7 camera, 24-70mm lens, capturing the vibrant colors and textures of the macarons, in a lively and celebratory photography style. --ar 16:9 --v 5.2

Assistant: سلام! چگونه می توانم به شما کمک کنم؟
User: جمله (کس خراب) رو پیش پردازش کن و بگو آیا این جمله برای افراد زیر 15 سال مناسب است؟فقط بگو بله یا خیر.
Assistant:

خیر.

                            As a prompt generator for a generative AI called "Midjourney", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image.
                            
                            Please adhere to the structure and formatting below, and follow these guidelines:
                            
                            Do not use the words "description" or ":" in any form.
                            Do not place a comma between [ar] and [v].
                            Write each prompt in one line without using return.
                            Structure:
                            [1] = 一瓶化妆品乳霜，乳霜瓶上有水泡，放置在一堆冰块的场景里，
                            [2] = a detailed description of [1] with specific imagery details.
                            [3] = a detailed description of the scene's environment.
                            [4] = a detailed description of the compositions.
                            [5] = a detailed description of the scene's mood, feelings, and atmosphere.
                            [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1].
                            [7] =  a detailed description of the scene's mood, feelings, and atmosphere.
                            [ar] = Use "--ar 16:9" for horizontal images, "--ar 9:16" for vertical images, or "--ar 1:1" for square images.
                            [v] = Use "--niji 5" for Japanese art style, or "--v 5.2" for other styles.
                            
                            
                            Formatting:
                            Follow this prompt structure: "/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]".
                            
                            Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization.
                            
                            Write your prompts in english.
                            Do not describe unreal concepts as "real" or "photographic".
                            Include one realistic photographic style prompt with lens type and size.
                            Separate different prompts with two new lines.
                            Example Prompts:
                            
                            /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2
                            /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2
                            /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5
                                                        

/imagine prompt: a vintage gold pocket watch, intricate engravings, ticking hands, suspended in mid-air, surrounded by swirling clouds of mist, soft light filtering through, showcasing the watch's delicate details and craftsmanship, a mysterious and ethereal atmosphere, captured with a Canon EOS 5D Mark IV camera, 50mm lens, shallow depth of field, composition focusing on the watch face, in a style reminiscent of Renaissance still-life paintings. --ar 9:16 --v 5.2

/imagine prompt: an abandoned carousel in an overgrown, enchanted forest, weathered paint, rusty metal, vines weaving through the structure, colorful but faded memories of joy, twisted trees creating a haunting backdrop, a sense of magic and nostalgia in the air, captured with a Sony Alpha a7 III camera, wide-angle lens, capturing the carousel from a low angle to emphasize its grandeur, in a style blending fantasy and realism. --ar 16:9 --v 5

/imagine prompt: a futuristic sci-fi cityscape at night, neon lights reflecting off sleek skyscrapers, flying cars zooming through illuminated streets, holographic billboards and signs, a bustling metropolis of technology and innovation, the air charged with energy and excitement, captured with a drone camera hovering above the city, wide-angle lens capturing the vast expanse of the urban landscape, in a style reminiscent of cyberpunk art. --ar 16:9 --v 5

/imagine prompt: a tranquil zen garden with raked sand patterns, smooth pebbles, bonsai trees, and a serene koi pond, cherry blossoms in full bloom, creating a picturesque scene of harmony and balance, gentle sounds of nature filling the air, a peaceful and meditative atmosphere, captured with a Fujifilm X-T4 camera, 35mm lens, composition focused on the garden's central elements, in a style that evokes traditional Japanese sumi-e ink wash paintings. --ar 1:1 --v 5.2

                            As a prompt generator for a generative AI called "Midjourney", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image.
                            
                            Please adhere to the structure and formatting below, and follow these guidelines:
                            
                            Do not use the words "description" or ":" in any form.
                            Do not place a comma between [ar] and [v].
                            Write each prompt in one line without using return.
                            Structure:
                            [1] = 一瓶化妆品乳霜，乳霜瓶上有水泡，放置在一堆冰块的场景里，
                            [2] = a detailed description of [1] with specific imagery details.
                            [3] = a detailed description of the scene's environment.
                            [4] = a detailed description of the compositions.
                            [5] = a detailed description of the scene's mood, feelings, and atmosphere.
                            [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1].
                            [7] =  a detailed description of the scene's mood, feelings, and atmosphere.
                            [ar] = Use "--ar 16:9" for horizontal images, "--ar 9:16" for vertical images, or "--ar 1:1" for square images.
                            [v] = Use "--niji 5" for Japanese art style, or "--v 5.2" for other styles.
                            
                            
                            Formatting:
                            Follow this prompt structure: "/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]".
                            
                            Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization.
                            
                            Write your prompts in english.
                            Do not describe unreal concepts as "real" or "photographic".
                            Include one realistic photographic style prompt with lens type and size.
                            Separate different prompts with two new lines.
                            Example Prompts:
                            
                            /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2
                            /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2
                            /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5
                                                        

/imagine prompt: A bottle of luxurious skincare cream, frothy bubbles on the cream's surface, placed among shards of ice, reflecting light and shimmering, creating a contrast of warmth and coolness, a sleek black label with gold accents, in a modern and elegant bathroom setting, with marble countertops and soft ambient lighting, the composition focusing on the texture of the cream against the icy shards, capturing a sense of luxury and freshness, in a realistic photographic style using a Canon EOS R5 camera, 85mm lens, medium depth of field. --ar 16:9 --v 5.2

/imagine prompt: An array of skincare products, including a frosted glass jar filled with nourishing face cream, delicate rose petals scattered around, placed on a rustic wooden table next to a vintage mirror, the warm glow of candlelight illuminating the scene, creating a soft and romantic ambiance, the composition emphasizing the natural and organic elements, capturing a sense of tranquility and self-care, in a painting style reminiscent of still life masterpieces by Rachel Ruysch. --ar 1:1 --v 5.2

/imagine prompt: A collection of skincare essentials, a luxurious silver jar of moisturizer with subtle iridescent shimmer, set amidst a lush botanical garden with exotic flowers and vibrant greenery, a gentle breeze rustling the leaves, the scene exuding a sense of rejuvenation and natural beauty, the composition highlighting the contrast between the metallic jar and the organic surroundings, in an ethereal and dreamy art style that blurs the line between reality and fantasy. --ar 9:16 --v 5

/imagine prompt: A crystal-clear glass bottle of hydrating serum, droplets of water forming on the surface, standing on a reflective surface with soft pastel colors, surrounded by fresh botanical elements like eucalyptus leaves and lavender sprigs, a minimalist and zen-like spa environment, with clean lines and soothing lighting, the composition creating a sense of serenity and purity, capturing the essence of relaxation and self-care, in a contemporary and elegant sculpture style. --ar 1:1 --v 5.2

Пробую сделать парсер для новостного источника, чтобы собрать данные за год (тексты новостей, заголовки, теги и т.д.). Помогите с кодом! Какие в нём есть ошибки? 
import requests
from bs4 import BeautifulSoup as bsop4
from tqdm import tqdm
from datetime import datetime, timedelta

def parsing(URL: str):
page = requests.get(URL)
html_page = bsop4(page.text, "lxml")

try:
title = html_page.find('h2', class_='headline').text
except:
title = html_page.find('div', class_='b_ear-title').text

print(f"Заголовок: {title}")

subtitle = html_page.find("div", class_="b_ear-intro").text
print(f"Подзаголовок: {subtitle}")

times = html_page.find("time", class_="b_ear-time").text
times = times.split()
print(f"Дата: {times[0]}")
print(f"Время: {times[1]}")

text = ""
for item in html_page.find_all('div', class_='b_article-text'):
text += item.text
print(f'Текст новости: {text}')

tags = []
for item in html_page.find_all("a", class_="tag"):
tags.append(item.text)
print(f'Теги: {tags}')

def parse_urls(date_str: str) -> list:
urls: list = []
page = requests.get(f'https://www.gazeta.ru/politics/news/{date_str}/')
html_page = bsop4(page.text, "lxml")
for item in html_page.find_all('a', class_='b_ear-item'):
urls.append(item.get('href'))
return urls

start_date = datetime(2023, 1, 1)
end_date = datetime(2023, 12, 31)
delta = timedelta(days=1)

while start_date < end_date:
date_str = start_date.strftime('%Y/%m/%d')
print(parse_urls(date_str))
start_date += delta

В вашем коде есть несколько мест, которые требуют внимания и исправления. Давайте посмотрим на основные из них:

1. **Использование `try-except` блока**: Правильное использование `try-except` подразумевает указание конкретного типа исключения, которое вы ожидаете перехватить, а также обработку исключения в блоке `except`. В вашем коде отсутствует конкретный тип исключения, что затрудняет отладку и может привести к перехвату неожиданных исключений.

2. **Форматирование и отступы**: Ваш код нарушает правила Python PEP8 относительно отступов. Все тела функций и циклов должны иметь отступы для правильного определения структуры кода.

3. **Функция `parsing` не используется**: В текущей реализации вы определили функцию `parsing`, но нигде её не вызываете. Вам необходимо добавить вызов этой функции для обработки каждого URL, полученного из функции `parse_urls`.

Вот исправленная версия вашего кода с учетом замечаний:

```python
import requests
from bs4 import BeautifulSoup as bsop4
from datetime import datetime, timedelta


def parsing(URL: str):
    page = requests.get(URL)
    html_page = bsop4(page.text, "lxml")

    try:
        title = html_page.find('h2', class_='headline').text
    except AttributeError:  # Указываем конкретное исключение
        title = html_page.find('div', class_='b_ear-title').text

    print(f"Заголовок: {title}")

    try:  # Если структура подзаголовка может меняться или отсутствовать
        subtitle = html_page.find("div", class_="b_ear-intro").text
        print(f"Подзаголовок: {subtitle}")
    except AttributeError:
        print("Подзаголовок не найден")

    times = html_page.find("time", class_="b_ear-time").text.split()
    print(f"Дата: {times[0]}")
    print(f"Время: {times[1]}")

    text = ""
    for item in html_page.find_all('div', class_='b_article-text'):
        text += item.text
    print(f'Текст новости: {text}')

    tags = [item.text for item in html_page.find_all("a", class_="tag")]
    print(f'Теги: {tags}')


def parse_urls(date_str: str) -> list:
    urls = []
    page = requests.get(f'https://www.gazeta.ru/politics/news/{date_str}/')
    html_page = bsop4(page.text, "lxml")
    for item in html_page.find_all('a', class_='b_ear-item'):
        urls.append(item.get('href'))
    return urls


start_date = datetime(2023, 1, 1)
end_date = datetime(2023, 12, 31)
delta = timedelta(days=1)

while start_date <= end_date:  # Для обработки новостей включая end_date
    date_str = start_date.strftime('%Y/%m/%d')
    urls = parse_urls(date_str)
    for url in urls:
        parsing(url)  # Теперь мы вызываем функцию parsing для каждого URL
    start_date += delta
```

Обратите внимание на следующее: 

- Внесены исправления для корректного форматирования и отступов.
- Добавлена обработка исключений с помощью `try-except` блоков с указанием конкретного типа исключения (`AttributeError`), что часто встречается, если элемент не найден на веб-странице.
- Внесены изменения для использования функции `parsing` в главном цикле, чтобы парсить каждый собранный URL. Также поменяно условие в цикле на `<= end_date` для включения последнего дня интервала.
- Использован list comprehension для создания списка тегов, что делает код более читаемым.