Question: vector database

"import numpy as np\nimport sqlite3\n\nconn = sqlite3.connect('data.db')\nc = conn.cursor()\nc.execute('''CREATE TABLE IF NOT EXISTS vectors (id INTEGER PRIMARY KEY, array BLOB)''')\n\ndef add_array(vec):\n    vec_bytes = vec.tobytes()\n    c.execute('INSERT INTO vectors (array) VALUES (?)', (vec_bytes,))\n    conn.commit()\n\ndef get_array(id):\n    c.execute('SELECT array FROM vectors WHERE id=?', (id,))\n    data = c.fetchone()[0]\n    vec = np.frombuffer(data)\n    return vec\n\nnew_vec = np.array([1, 2, 3, 4, 5])\nadd_array(new_vec)\nretrieved_vec = get_array(1)\nprint('Stored Vector:', new_vec)\nprint('Retrieved Vector:', retrieved_vec)\nconn.close()"

"import numpy as np\nfrom scipy.special import sph_harm\nfrom scipy.integrate import quad\nimport healpy as hp\n\ndef lorentz_group_element(theta, phi, psi):\n    return np.array([[np.cos(psi), -np.sin(psi), 0], [np.sin(psi), np.cos(psi), 0], [0, 0, 1]]) @ np.array([[1, 0, 0], [0, np.cos(phi), -np.sin(phi)], [0, np.sin(phi), np.cos(phi)]]) @ np.array([[np.cos(theta), 0, np.sin(theta)], [0, 1, 0], [-np.sin(theta), 0, np.cos(theta)]])\n\ndef spherical_wavelet_transform(vector, lmax):\n    database = np.zeros(hp.nside2npix(2**lmax))\n    for l in range(lmax):\n        for m in range(-l, l+1):\n            Ylm = sph_harm(m, l, vector[0], vector[1])\n            for theta in np.linspace(0, np.pi, 100):\n                for phi in np.linspace(0, 2*np.pi, 100):\n                    R = lorentz_group_element(theta, phi, 0)\n                    rotated_vector = R @ vector\n                    database += np.real(Ylm * np.conj(sph_harm(m, l, rotated_vector[0], rotated_vector[1])))\n    return database\n\nvector = np.array([1.0, 0.5, 0.5])\nlmax = 3\nresult = spherical_wavelet_transform(vector, lmax)\nprint(result)"

"import random, time, math; endorphins = 0; while True: release = random.randint(1, 10); if release > 5: endorphins += release; time.sleep(1); if endorphins >= 100: break; database = [1, 2, 3, 4, 5]; vector = [6, 7, 8, 9, 10]; if len(database) > len(vector): diff = len(database) - len(vector); endorphins -= diff; else: diff = len(vector) - len(database); endorphins += diff; print('Endorphins level:', endorphins); print('Feeling good!')"

"class Executrix:\n    def __init__(self, name, role):\n        self.name = name\n        self.role = role\n\n    def execute_will(self):\n        if self.role == 'executor':\n            print(f'{self.name} is the executrix of the will')\n        else:\n            print('Invalid role for executrix')\n\n    def manage_estate(self):\n        database = ['assets', 'liabilities', 'beneficiaries']\n        for item in database:\n            print(f'{self.name} is managing {item}')\n\nexecutrix1 = Executrix('Alice', 'executor')\nexecutrix1.execute_will()\nexecutrix1.manage_estate()"

"import requests\nfrom bs4 import BeautifulSoup\nimport pandas as pd\n\ndef fetch_news_about_remand_centre():\n    url = 'https://news.example.com'\n    response = requests.get(url)\n    soup = BeautifulSoup(response.text, 'html.parser')\n    articles = soup.find_all('article')\n    news_data = []\n    for article in articles:\n        if 'Mat Johnston' in article.text and 'remand centre' in article.text:\n            title = article.find('h2').text\n            summary = article.find('p').text\n            news_data.append({'title': title, 'summary': summary})\n    return pd.DataFrame(news_data)\n\ndef analyze_sentiment(news_dataframe):\n    sentiments = []\n    for index, row in news_dataframe.iterrows():\n        if 'remand centre' in row['summary']:\n            sentiments.append('Negative')\n        else:\n            sentiments.append('Positive')\n    news_dataframe['Sentiment'] = sentiments\n    return news_dataframe\n\ndef main():\n    news_about_remand_centre = fetch_news_about_remand_centre()\n    if not news_about_remand_centre.empty:\n        analyzed_news = analyze_sentiment(news_about_remand_centre)\n        print(analyzed_news)\n    else:\n        print('No relevant news found.')\n\nif __name__ == '__main__':\n    main()"

"import ecommerce\n\nclass Watch:\n    def __init__(self, size, material, color):\n        self.size = size\n        self.material = material\n        self.color = color\n\n    def display_info(self):\n        return f'Men's {self.size} Iced Diamond Watch in {self.material} {self.color} finish'\n\nclass Chain:\n    def __init__(self, size, material, color):\n        self.size = size\n        self.material = material\n        self.color = color\n\n    def display_info(self):\n        return f'12mm Miami Cuban Chain Set in {self.material} {self.color} finish'\n\nwatch = Watch('43mm', '14k Gold', 'Two-Tone')\nchain = Chain('12mm', 'Silver', 'Silver')\n\nprint(watch.display_info())\nprint(chain.display_info())"

"news_headline = 'Carr rejects Keating's Indonesia criticism'\nif 'Indonesia' in news_headline and 'criticism' in news_headline:\n    print('Carr stands firm against Keating')\n    sentiment = 'negative'\n    if 'rejects' in news_headline:\n        sentiment = 'positive'\n    else:\n        sentiment = 'neutral'\n    print(f'Sentiment: {sentiment}')\nelse:\n    print('No relevant news found')"

"import numpy as np\nimport pandas as pd\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.linear_model import LogisticRegression\ndef load_database():\n    data = pd.read_csv('healthcare_data.csv')\n    return data\ndef prepare_data(data):\n    features = data[['age', 'cholesterol', 'blood_pressure', 'smoking_status']]\n    labels = data['revascularization_success']\n    scaler = StandardScaler()\n    features_scaled = scaler.fit_transform(features)\n    return features_scaled, labels\ndef train_model(features, labels):\n    X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.2, random_state=42)\n    model = LogisticRegression()\n    model.fit(X_train, y_train)\n    return model\ndef predict_success(model, patient_data):\n    prediction = model.predict(patient_data)\n    return prediction\ndef main():\n    database = load_database()\n    features, labels = prepare_data(database)\n    model = train_model(features, labels)\n    new_patient = np.array([[45, 240, 130, 1]])\n    new_patient_vector = StandardScaler().fit_transform(new_patient)\n    success = predict_success(model, new_patient_vector)\n    print('Revascularization Success Prediction:', success)\nif __name__ == '__main__':\n    main()"


Question: Natural language processing markdown document formatting

"# Understanding Sentiment Analysis\n\n**Sentiment analysis** is a powerful tool in the realm of natural language understanding. It involves analyzing text to determine the sentiment expressed within it. By utilizing machine learning algorithms, sentiment analysis can provide valuable insights into customer opinions, social media trends, and more. *Emotions* play a crucial role in how we communicate, and sentiment analysis helps in deciphering these emotions. ~~Accurate sentiment analysis~~ requires a deep understanding of linguistic nuances and context. \n\n## Benefits of Sentiment Analysis\n\n- Identifying customer satisfaction levels\n- Monitoring brand reputation\n\n> Sentiment analysis is a game-changer in the world of data analytics."

"# The Power of Resilience in Healthcare\n\n**Resilience** is the backbone of healthcare professionals, enabling them to navigate the challenges of the field. It's a quality that **boldly** stands against adversity, **italicized** by unwavering determination. In the face of setbacks, it's not merely a strikethrough of hope but a testament to the human spirit. \n\n## Building Resilience\n\n- Embracing setbacks\n- Learning from failures\n- Seeking support\n\n> "

"# Pop Up Dinosaur Pencil Case for Kids\n\n**Multifunction Stationery Organizer Box** with *Calculator*, ~~Sharpener~~ and Pencils\n\n- Cute School Supplies\n- Best T Rex Birthday Present for Boys and Teens\n\n> In a Gift Box, this adorable pencil case will delight any dinosaur lover. The multifunctional design ensures all essentials are in one place, making it a perfect addition to school supplies. The calculator adds a fun twist to learning while the sharpener keeps pencils ready for use."

"# Tontine: A Legal Arrangement\n\n**Tontine** is a unique financial arrangement where participants contribute to a pool of money, and the last surviving member receives the entire sum. *This method* of asset distribution has been used for centuries in various legal contexts. It is a **controversial** practice due to its implications on inheritance and longevity. \n\n> In the realm of legal agreements, tontines have sparked debates on fairness and ethics. \n\n- Tontines involve complex legal language and intricate formatting.\n- Natural progression of a tontine involves careful processing of documents."

"# More Than 50 Vacant Shops in Rockhampton CBD Cause for Concern\n\n**Rockhampton, Australia** - The increasing number of vacant shops in the CBD is a _growing issue_ that needs immediate attention. The sight of boarded-up storefronts is a ~~stark reminder~~ of the economic challenges facing the area. Local businesses are **struggling** to survive, and the community is feeling the impact. According to a recent report, the situation is **deteriorating** rapidly, and urgent **action** is required.\n\n> "

"# **Banpresto Hatsune Miku Racing - P&T Racing Miku 2020 Team UKYO Figure, (198744)**\n\n*Embrace the thrill of the race with the **Banpresto Hatsune Miku Racing - P&T Racing Miku 2020 Team UKYO Figure**. A must-have for collectors and fans alike, this figure captures the essence of speed and music.*\n\n> **Features:**\n> - **Vibrant Detailing:** The figure showcases Miku in her iconic racing outfit, complete with sponsors and team colors.\n> - **Dynamic Pose:** Capturing Miku in mid-action, this figure reflects the energy of racing.\n\n- **Collectible Item:** A perfect addition to any collection.\n- **Limited Edition:** Unique item with a specific production number, (198744).\n\n~~This is not just another figure; it's a piece of the racing legend.~~\n\n*For fans of Hatsune Miku and racing, this figure is a blend of both worlds, bringing together the excitement of the track with the charm of Miku.*"

"# Models of Neutrino Masses and Mixing\n\n**Understanding Neutrino Oscillations**\n\n*Exploring Neutrino Flavor Transformation*\n\n~~Challenging Neutrino Mass Hierarchy~~\n\n- Unveiling Neutrino Mixing Patterns\n- Investigating Neutrino Phenomenology\n- Deciphering Neutrino Properties\n\n> In the realm of arxiv, the Models of Neutrino Masses and Mixing are a fascinating area of research, shedding light on the mysteries of the universe.\n\n*Language* plays a crucial role in processing and formatting scientific findings."

"# Major Provisions of the Equal Credit Opportunity Act\n\n**1. Equal Treatment**\n\n*Ensuring fair processing for all applicants*\n\n~~2. Non-Discrimination~~\n\n*Prohibits lenders from discriminating based on race, color, religion*\n\n**3. Transparency**\n\n*Requires clear disclosure of credit terms*\n\n> "


Question: Token embeddings applications examples

"<!DOCTYPE html><title>Exploring the Power of Word Representations</title>
Unlocking the Potential of Word Vectors

Discover the fascinating world of word vectors and their impact on natural language processing tasks. Dive into the realm of word representations and their diverse range of applications across various domains. Explore how word vectors revolutionize machine learning models and enhance the performance of text analysis algorithms. Uncover the secrets behind the effectiveness of token embeddings in capturing semantic relationships and improving language understanding. Delve into real-world examples showcasing the practical utility of word vectors in powering cutting-edge AI technologies.
"

"<!DOCTYPE html><title>Accredited Asset Management Specialist (AAMS)</title>
Welcome to the Accredited Asset Management Specialist (AAMS) website

Are you looking to enhance your expertise in finance? Become an Accredited Asset Management Specialist (AAMS) today! Our program offers comprehensive training in investment strategies, risk management, and financial planning.

Join our community of professionals dedicated to advancing their careers in asset management. Explore our resources, connect with industry experts, and take your skills to the next level.

Don't miss this opportunity to excel in the finance domain!
"

"<!DOCTYPE html><title>New York Puzzle Company - Vogue Winter Wonders - 1000 Piece Jigsaw Puzzle</title>
Welcome to the Vogue Winter Wonders Puzzle!

Immerse yourself in the beauty of winter with this 1000 piece jigsaw puzzle from New York Puzzle Company. Perfect for cozy nights in or as a gift for puzzle enthusiasts. Challenge your mind and relax with this exquisite puzzle featuring stunning winter scenes from Vogue. Get your Token of joy today and enjoy hours of entertainment. Explore our applications for more puzzle fun. Examples of completed puzzles available. Let the puzzle embeddings transport you to a winter wonderland.
"

"<!DOCTYPE html><title>Statute of Limitations in Finance</title>
Understanding Statute of Limitations in Finance

The statute of limitations in finance refers to the time limit within which legal actions can be taken for financial matters. It is crucial for financial applications to adhere to these regulations. Token examples of statutes include debt collection and securities fraud. Embeddings of these limitations can impact financial decisions and strategies. It is essential for individuals and businesses to be aware of the statute of limitations to avoid legal consequences.
"

"<!DOCTYPE html><title>Free Fragment in Healthcare</title>
Welcome to Free Fragment

Discover the benefits of free fragment in healthcare. Our platform offers innovative solutions for healthcare providers to access free fragment data for improved patient care. With our advanced embeddings technology, you can unlock valuable insights from fragmented data. Token your way to better healthcare outcomes with our user-friendly applications. Explore real-world examples of how free fragment is revolutionizing the healthcare industry. Join us in shaping the future of healthcare with free fragment!
"

"<!DOCTYPE html><title>FATPack 5x8 (Gen-2) Pouch (Black)</title>
Welcome to the FATPack 5x8 (Gen-2) Pouch (Black) Page

Discover the ultimate storage solution with our sleek black pouch. Perfect for all your ecommerce needs, this pouch is designed to keep your essentials secure and organized. Whether you're on the go or at home, this pouch is versatile for all applications. Get yours today and experience the convenience firsthand!

Don't miss out on the latest trends in ecommerce. Our FATPack 5x8 (Gen-2) Pouch (Black) is a must-have accessory for any fashion-forward individual. With its durable design and stylish look, this pouch is perfect for everyday use. Order now and elevate your style!
"

"<!DOCTYPE html>\n\n\n    <meta charset=\"UTF-8\">\n    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n    <title>Convoys Origin</title>\n\n\n
Who Invented Convoys?
\n
The concept of using convoys, a method pivotal in various applications, was first recorded in historical documents. This strategy, enhancing the safety of maritime journeys, showcases the innovative embeddings of ancient logistics. The idea, akin to a Token of ingenuity, was not attributed to a single inventor. Instead, it evolved through collective wisdom over centuries, finding applications in numerous military and commercial contexts.
\n
Examples of early convoy use are abundant, reflecting its significance. These examples, each a Token of historical strategy, underscore the convoy's role in safeguarding assets. The embeddings of this idea in naval tactics highlight its enduring relevance.
\n\n"

"<!DOCTYPE html><title>Parens Patriae</title>
Parens Patriae in Legal Context

Parens patriae is a legal doctrine that allows the state to act as a guardian for individuals who cannot care for themselves. This concept is often applied in cases involving minors or individuals with disabilities. The court may intervene to protect the best interests of the vulnerable party. Examples of parens patriae include child custody cases and mental health commitments. The principle of parens patriae ensures that vulnerable individuals are provided with necessary support and protection.

Token applications in legal proceedings often involve the use of parens patriae to safeguard the rights of those in need. Embeddings of this doctrine can be seen in various court decisions and legislative actions.
"