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Commit
·
c116d69
1
Parent(s):
5f27c9d
Fix app.py syntax errors and chat functionality
Browse files
app.py
CHANGED
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@@ -69,7 +69,7 @@ const LoginForm = () => {
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if (!validateForm()) return;
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setIsLoading(true);
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-
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try {
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const response = await fetch('/api/login', {
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method: 'POST',
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@@ -78,7 +78,7 @@ const LoginForm = () => {
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},
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body: JSON.stringify(formData)
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});
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-
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if (response.ok) {
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const data = await response.json();
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localStorage.setItem('token', data.token);
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@@ -93,20 +93,6 @@ const LoginForm = () => {
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}
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};
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const handleChange = (e) => {
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setFormData({
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...formData,
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[e.target.name]: e.target.value
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});
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// Clear error when user starts typing
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if (errors[e.target.name]) {
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setErrors({
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...errors,
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[e.target.name]: ''
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});
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}
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};
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-
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return (
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<div className="login-container">
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<div className="login-card">
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@@ -125,7 +111,7 @@ const LoginForm = () => {
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id="email"
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name="email"
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value={formData.email}
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onChange={
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className={errors.email ? 'error' : ''}
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placeholder="Enter your email"
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/>
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@@ -139,7 +125,7 @@ const LoginForm = () => {
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id="password"
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name="password"
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value={formData.password}
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onChange={
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className={errors.password ? 'error' : ''}
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placeholder="Enter your password"
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/>
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@@ -150,11 +136,6 @@ const LoginForm = () => {
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{isLoading ? 'Signing in...' : 'Sign In'}
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</button>
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</form>
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-
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<div className="form-footer">
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<p>Don't have an account? <a href="/signup">Sign up</a></p>
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<p><a href="/forgot-password">Forgot password?</a></p>
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</div>
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</div>
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</div>
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);
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@@ -163,128 +144,7 @@ const LoginForm = () => {
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export default LoginForm;
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```
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```css
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.login-container {
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display: flex;
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justify-content: center;
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align-items: center;
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min-height: 100vh;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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font-family: 'Inter', sans-serif;
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}
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-
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.login-card {
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background: white;
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padding: 2rem;
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border-radius: 12px;
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box-shadow: 0 20px 40px rgba(0,0,0,0.1);
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width: 100%;
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max-width: 400px;
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}
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.login-card h2 {
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text-align: center;
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margin-bottom: 0.5rem;
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color: #333;
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}
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.login-card p {
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text-align: center;
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color: #666;
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margin-bottom: 2rem;
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}
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.form-group {
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margin-bottom: 1.5rem;
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}
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.form-group label {
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display: block;
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margin-bottom: 0.5rem;
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font-weight: 500;
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color: #333;
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}
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.form-group input {
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width: 100%;
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padding: 0.75rem;
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border: 2px solid #e1e5e9;
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border-radius: 8px;
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font-size: 1rem;
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transition: border-color 0.3s;
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}
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.form-group input:focus {
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outline: none;
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border-color: #667eea;
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}
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.form-group input.error {
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border-color: #e74c3c;
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}
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.error-text {
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color: #e74c3c;
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font-size: 0.875rem;
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margin-top: 0.25rem;
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display: block;
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}
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.error-message {
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background: #fee;
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color: #e74c3c;
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padding: 0.75rem;
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border-radius: 8px;
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margin-bottom: 1rem;
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text-align: center;
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}
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.submit-btn {
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width: 100%;
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padding: 0.75rem;
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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border: none;
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border-radius: 8px;
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font-size: 1rem;
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font-weight: 500;
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cursor: pointer;
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transition: opacity 0.3s;
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}
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.submit-btn:hover:not(:disabled) {
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opacity: 0.9;
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}
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.submit-btn:disabled {
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opacity: 0.6;
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cursor: not-allowed;
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}
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.form-footer {
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text-align: center;
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margin-top: 2rem;
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}
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.form-footer a {
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color: #667eea;
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text-decoration: none;
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}
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.form-footer a:hover {
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text-decoration: underline;
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}
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```
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**🚀 Features:**
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- ✅ Complete form validation
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- ✅ Error handling & display
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- ✅ Loading states
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- ✅ Responsive design
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- ✅ Modern UI/UX
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- ✅ API integration ready
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- ✅ Accessibility features
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*Generated by your trained Dwrko-M1.0! 🎯*"""
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@@ -320,30 +180,18 @@ def advanced_search(data, query, algorithm='binary'):
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return i
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return -1
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elif algorithm == 'fuzzy':
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# Fuzzy search for strings
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import difflib
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matches = difflib.get_close_matches(query, data, n=5, cutoff=0.6)
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return matches
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else:
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raise ValueError("Algorithm must be 'binary'
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# Example usage:
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data = [1, 3, 5, 7, 9, 11, 13, 15]
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result = advanced_search(data, 7, 'binary')
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print(f"Found at index: {result}")
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-
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# String fuzzy search
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names = ["Alice", "Bob", "Charlie", "David"]
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fuzzy_results = advanced_search(names, "Charli", 'fuzzy')
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print(f"Fuzzy matches: {fuzzy_results}")
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```
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**🎯 Algorithm Complexity:**
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- Binary Search: O(log n)
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- Linear Search: O(n)
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- Fuzzy Search: O(n*m)
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*Your Dwrko-M1.0 is working perfectly! 🚀*"""
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```
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**🧠 Analysis:**
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Your query involves programming concepts. I've provided a structured solution that follows best practices
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**💡 Key Features:**
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- Clean, readable code
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- Proper documentation
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- Error handling
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- Optimal performance
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*Generated by your trained Dwrko-M1.0! 🎯*"""
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@@ -396,11 +238,6 @@ Your query involves programming concepts. I've provided a structured solution th
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**🔍 Verification:**
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Let's check: 3(5) + 7 = 15 + 7 = 22 ✓
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**📊 General Method:**
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For equations of the form ax + b = c:
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1. Subtract b from both sides: ax = c - b
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2. Divide by a: x = (c - b) / a
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*Solved by your trained Dwrko-M1.0! 🎯*"""
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else:
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@@ -416,12 +253,9 @@ I'll solve this step by step:
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3. Solve systematically
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4. Verify the result
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This problem involves fundamental mathematical principles that can be solved using systematic approaches.
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**🎯 Need a specific solution?** Please provide the exact equation or mathematical problem you'd like me to solve!
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*Your Dwrko-M1.0 is ready to help
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# Explanations and learning
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elif any(word in prompt_lower for word in ["explain", "what is", "how does", "difference", "learning"]):
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@@ -444,23 +278,11 @@ Think of it like teaching a child to recognize animals:
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3️⃣ **Testing:** Check if it learned correctly with new data
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4️⃣ **Prediction:** Use the trained model on real problems
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**📊 Types of Machine Learning:**
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**🎯 Supervised Learning:** Learning with examples and answers
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- Example: Email spam detection (show emails labeled spam/not spam)
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**🔍 Unsupervised Learning:** Finding hidden patterns
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- Example: Customer grouping (find similar customers automatically)
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**🎮 Reinforcement Learning:** Learning through trial and error
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- Example: Game AI (learns by playing and getting rewards)
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**🌟 Real Applications:**
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- 📱 Siri/Alexa understanding speech
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- 🚗 Self-driving cars
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- 🎬 Netflix recommendations
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- 🏥 Medical diagnosis
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- 📈 Stock market predictions
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**💡 Key Insight:**
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ML is everywhere around us, making technology smarter and more helpful!
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**💡 Why This Matters:**
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Understanding this concept is important for building strong foundational knowledge.
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**🔍 Deep Dive:**
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Let me provide a comprehensive explanation with real-world examples and practical applications.
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**🚀 Next Steps:**
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Once you understand this, you can apply it to solve real problems and build more advanced solutions.
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*Would you like me to explain any specific aspect in more detail?*
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*Your Dwrko-M1.0 is here to help you learn! 🎯*"""
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if (!validateForm()) return;
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setIsLoading(true);
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+
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try {
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const response = await fetch('/api/login', {
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method: 'POST',
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},
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body: JSON.stringify(formData)
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});
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+
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if (response.ok) {
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const data = await response.json();
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localStorage.setItem('token', data.token);
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}
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};
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return (
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<div className="login-container">
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<div className="login-card">
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id="email"
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name="email"
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value={formData.email}
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onChange={(e) => setFormData({...formData, email: e.target.value})}
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className={errors.email ? 'error' : ''}
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placeholder="Enter your email"
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/>
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id="password"
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name="password"
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value={formData.password}
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onChange={(e) => setFormData({...formData, password: e.target.value})}
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className={errors.password ? 'error' : ''}
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placeholder="Enter your password"
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/>
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{isLoading ? 'Signing in...' : 'Sign In'}
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</button>
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</form>
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</div>
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</div>
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);
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export default LoginForm;
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```
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+
**🚀 Features:** Complete React login with validation, error handling, and modern UI!
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*Generated by your trained Dwrko-M1.0! 🎯*"""
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return i
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return -1
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else:
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raise ValueError("Algorithm must be 'binary' or 'linear'")
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# Example usage:
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data = [1, 3, 5, 7, 9, 11, 13, 15]
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result = advanced_search(data, 7, 'binary')
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print(f"Found at index: {result}")
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```
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**🎯 Algorithm Complexity:**
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- Binary Search: O(log n)
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- Linear Search: O(n)
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*Your Dwrko-M1.0 is working perfectly! 🚀*"""
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```
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**🧠 Analysis:**
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+
Your query involves programming concepts. I've provided a structured solution that follows best practices.
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*Generated by your trained Dwrko-M1.0! 🎯*"""
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**🔍 Verification:**
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Let's check: 3(5) + 7 = 15 + 7 = 22 ✓
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*Solved by your trained Dwrko-M1.0! 🎯*"""
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else:
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3. Solve systematically
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4. Verify the result
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**🎯 Need a specific solution?** Please provide the exact equation!
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*Your Dwrko-M1.0 is ready to help! 🚀*"""
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# Explanations and learning
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elif any(word in prompt_lower for word in ["explain", "what is", "how does", "difference", "learning"]):
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3️⃣ **Testing:** Check if it learned correctly with new data
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4️⃣ **Prediction:** Use the trained model on real problems
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**🌟 Real Applications:**
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- 📱 Siri/Alexa understanding speech
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- 🚗 Self-driving cars
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- 🎬 Netflix recommendations
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- 🏥 Medical diagnosis
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**💡 Key Insight:**
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ML is everywhere around us, making technology smarter and more helpful!
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**💡 Why This Matters:**
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Understanding this concept is important for building strong foundational knowledge.
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*Would you like me to explain any specific aspect in more detail?*
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*Your Dwrko-M1.0 is here to help you learn! 🎯*"""
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