From e547bfbbaa357d171ca441aaeaf24294f57fa6c1 Mon Sep 17 00:00:00 2001 From: Haresh Karnan Date: Mon, 13 Apr 2026 15:58:54 -0700 Subject: [PATCH 1/2] feat: add interactive web UI and replace leetcode references This introduces a Next.js frontend and FastAPI backend for the TorchCode practice environment. Math formulas have been updated to use LaTeX, and Chinese characters have been translated to English. References to LeetCode have been removed for legal safety. --- README.md | 2 +- api/main.py | 61 + api/parser.py | 78 + api/requirements.txt | 3 + templates/07_batchnorm.ipynb | 2 +- torch_judge/__init__.py | 10 +- torch_judge/tasks/adam.py | 2 +- torch_judge/tasks/attention.py | 2 +- torch_judge/tasks/gelu.py | 2 +- torch_judge/tasks/layernorm.py | 2 +- torch_judge/tasks/linear_regression.py | 2 +- torch_judge/tasks/lora.py | 2 +- torch_judge/tasks/rmsnorm.py | 2 +- torch_judge/tasks/rope.py | 2 +- torch_judge/web_engine.py | 140 + web/.gitignore | 41 + web/AGENTS.md | 5 + web/CLAUDE.md | 1 + web/README.md | 36 + web/eslint.config.mjs | 18 + web/next.config.ts | 7 + web/package-lock.json | 8593 ++++++++++++++++++++++++ web/package.json | 34 + web/postcss.config.mjs | 7 + web/public/file.svg | 1 + web/public/globe.svg | 1 + web/public/next.svg | 1 + web/public/vercel.svg | 1 + web/public/window.svg | 1 + web/src/app/favicon.ico | Bin 0 -> 25931 bytes web/src/app/globals.css | 93 + web/src/app/layout.tsx | 33 + web/src/app/page.tsx | 455 ++ web/tsconfig.json | 34 + 34 files changed, 9659 insertions(+), 15 deletions(-) create mode 100644 api/main.py create mode 100644 api/parser.py create mode 100644 api/requirements.txt create mode 100644 torch_judge/web_engine.py create mode 100644 web/.gitignore create mode 100644 web/AGENTS.md create mode 100644 web/CLAUDE.md create mode 100644 web/README.md create mode 100644 web/eslint.config.mjs create mode 100644 web/next.config.ts create mode 100644 web/package-lock.json create mode 100644 web/package.json create mode 100644 web/postcss.config.mjs create mode 100644 web/public/file.svg create mode 100644 web/public/globe.svg create mode 100644 web/public/next.svg create mode 100644 web/public/vercel.svg create mode 100644 web/public/window.svg create mode 100644 web/src/app/favicon.ico create mode 100644 web/src/app/globals.css create mode 100644 web/src/app/layout.tsx create mode 100644 web/src/app/page.tsx create mode 100644 web/tsconfig.json diff --git a/README.md b/README.md index 3c29bad..6988376 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ pinned: false Practice implementing operators and architectures from scratch — the exact skills top ML teams test for. -*Like LeetCode, but for tensors. Self-hosted. Jupyter-based. Instant feedback.* +*An interactive coding platform, but for tensors. Self-hosted. Jupyter-based. Instant feedback.* [![PyTorch](https://img.shields.io/badge/PyTorch-ee4c2c?style=for-the-badge&logo=pytorch&logoColor=white)](https://pytorch.org) [![Jupyter](https://img.shields.io/badge/Jupyter-F37626?style=for-the-badge&logo=jupyter&logoColor=white)](https://jupyter.org) diff --git a/api/main.py b/api/main.py new file mode 100644 index 0000000..dfda7ea --- /dev/null +++ b/api/main.py @@ -0,0 +1,61 @@ +from fastapi import FastAPI, HTTPException +from fastapi.middleware.cors import CORSMiddleware +from pydantic import BaseModel +import sys +import os + +# Add the root directory to PYTHONPATH so we can import torch_judge +sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + +from torch_judge.tasks import TASKS, get_task +from torch_judge.web_engine import execute_code +from api.parser import get_all_templates + +app = FastAPI(title="TorchCode UI Backend") + +# Allow CORS for local frontend development +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# Load templates on startup +TEMPLATES = get_all_templates() + +class SubmitRequest(BaseModel): + code: str + +@app.get("/api/tasks") +def list_tasks(): + tasks_list = [] + for task_id, task_data in TASKS.items(): + tasks_list.append({ + "id": task_id, + "title": task_data["title"], + "difficulty": task_data.get("difficulty", "Unknown") + }) + return tasks_list + +@app.get("/api/tasks/{task_id}") +def get_task_details(task_id: str): + task = get_task(task_id) + if not task: + raise HTTPException(status_code=404, detail="Task not found") + + template = TEMPLATES.get(task_id, {}) + return { + "id": task_id, + "title": task["title"], + "difficulty": task.get("difficulty", "Unknown"), + "hint": task.get("hint", ""), + "description": template.get("description", "Description not found."), + "initial_code": template.get("initial_code", "# Write your code here.") + } + +@app.post("/api/submit/{task_id}") +def submit_code(task_id: str, request: SubmitRequest): + result = execute_code(task_id, request.code) + return result diff --git a/api/parser.py b/api/parser.py new file mode 100644 index 0000000..ce0de6a --- /dev/null +++ b/api/parser.py @@ -0,0 +1,78 @@ +import json +import os +import glob +import re + +def parse_notebook_template(filepath: str) -> dict: + """ + Parses a Jupyter Notebook template to extract the problem description and initial code. + """ + try: + with open(filepath, 'r', encoding='utf-8') as f: + nb = json.load(f) + + description = "" + initial_code = "" + + for cell in nb.get("cells", []): + if cell["cell_type"] == "markdown": + # Only take the first markdown block (usually the problem statement) + if not description: + source = cell.get("source", []) + # Filter out Colab badge lines + filtered_source = [ + line for line in source + if "![Open In Colab]" not in line + ] + description = "".join(filtered_source).strip() + + elif cell["cell_type"] == "code": + source = cell.get("source", []) + source_str = "".join(source) + + # Check for the implementation placeholder + if "# ✏️ YOUR IMPLEMENTATION HERE" in source_str: + initial_code = "import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport math\n\n" + source_str + + return { + "description": description, + "initial_code": initial_code + } + except Exception as e: + print(f"Error parsing {filepath}: {e}") + return { + "description": "Error loading description.", + "initial_code": "# Error loading template code." + } + +def get_all_templates(templates_dir: str = "../templates") -> dict: + """ + Returns a dictionary mapping task_ids to their extracted template data. + task_id is inferred from the filename (e.g., '01_relu.ipynb' -> 'relu'). + """ + templates = {} + + # Resolve absolute path based on current directory + base_dir = os.path.dirname(os.path.abspath(__file__)) + templates_path = os.path.join(base_dir, templates_dir) + + for filepath in glob.glob(os.path.join(templates_path, "*.ipynb")): + filename = os.path.basename(filepath) + if filename == "00_welcome.ipynb": + continue + + # Extract task_id (e.g. 01_relu.ipynb -> relu) + match = re.match(r"^\d+_(.+)\.ipynb$", filename) + if match: + task_id = match.group(1) + templates[task_id] = parse_notebook_template(filepath) + + return templates + +if __name__ == "__main__": + # Test parser + res = get_all_templates() + if "relu" in res: + print("Successfully parsed relu:") + print("Description:", res["relu"]["description"][:100], "...") + print("Code:", res["relu"]["initial_code"][:50], "...") diff --git a/api/requirements.txt b/api/requirements.txt new file mode 100644 index 0000000..c9b6004 --- /dev/null +++ b/api/requirements.txt @@ -0,0 +1,3 @@ +fastapi +uvicorn +pydantic diff --git a/templates/07_batchnorm.ipynb b/templates/07_batchnorm.ipynb index 8b1c722..6199e93 100644 --- a/templates/07_batchnorm.ipynb +++ b/templates/07_batchnorm.ipynb @@ -40,7 +40,7 @@ "- Compute batch mean and variance over `dim=0` with `unbiased=False`\n", "- Update running stats like PyTorch: `running = (1 - momentum) * running + momentum * batch_stat`\n", "- Use `running_mean` / `running_var` for inference when `training=False`\n", - "- Must support autograd w.r.t. `x`, `gamma`, `beta`（running statistics 应视作 buffer，而不是需要梯度的参数）" + "- Must support autograd w.r.t. `x`, `gamma`, `beta` (running statistics should be treated as buffers, not parameters requiring gradients)" ] }, { diff --git a/torch_judge/__init__.py b/torch_judge/__init__.py index d3ec708..95a8c8a 100644 --- a/torch_judge/__init__.py +++ b/torch_judge/__init__.py @@ -1,12 +1,12 @@ -"""TorchCode — PyTorch 刷题判定引擎。在 Jupyter Notebook 中使用。 +"""TorchCode — PyTorch practice engine. Used in Jupyter Notebooks. -Usage: - from torch_judge import check, status +Example: + from torch_judge import status, check - # 查看所有题目进度 + # View progress for all tasks status() - # 实现完函数后，运行判定 + # After implementing the function, run the judge check("relu") """ diff --git a/torch_judge/tasks/adam.py b/torch_judge/tasks/adam.py index 42a837b..ab7a91e 100644 --- a/torch_judge/tasks/adam.py +++ b/torch_judge/tasks/adam.py @@ -4,7 +4,7 @@ "title": "Adam Optimizer", "difficulty": "Medium", "function_name": "MyAdam", - "hint": "Track m (1st moment) and v (2nd moment). m = beta1*m + (1-beta1)*grad, v = beta2*v + (1-beta2)*grad^2. Bias correct: m_hat = m/(1-beta1^t). Update: p -= lr * m_hat / (sqrt(v_hat) + eps).", + "hint": "Track $m$ (1st moment) and $v$ (2nd moment). $m = \\beta_1 m + (1-\\beta_1)\\nabla$, $v = \\beta_2 v + (1-\\beta_2)\\nabla^2$. Bias correct: $\\hat{m} = m/(1-\\beta_1^t)$, $\\hat{v} = v/(1-\\beta_2^t)$. Update: $p \\leftarrow p - \\text{lr} \\cdot \\hat{m} / (\\sqrt{\\hat{v}} + \\epsilon)$.", "tests": [ { "name": "Parameters change after step", diff --git a/torch_judge/tasks/attention.py b/torch_judge/tasks/attention.py index 0ef1dd5..2a794cb 100644 --- a/torch_judge/tasks/attention.py +++ b/torch_judge/tasks/attention.py @@ -4,7 +4,7 @@ "title": "Softmax Attention", "difficulty": "Hard", "function_name": "scaled_dot_product_attention", - "hint": "scores = Q @ K^T / sqrt(d_k), then softmax(scores, dim=-1) @ V. Use torch.bmm for batched matmul.", + "hint": "$\\text{scores} = (Q K^T) / \\sqrt{d_k}$, then $\\text{softmax}(\\text{scores}, \\text{dim}=-1) V$. Use `torch.bmm` for batched matmul.", "tests": [ { "name": "Output shape", diff --git a/torch_judge/tasks/gelu.py b/torch_judge/tasks/gelu.py index 49bdb64..0af85a0 100644 --- a/torch_judge/tasks/gelu.py +++ b/torch_judge/tasks/gelu.py @@ -4,7 +4,7 @@ "title": "GELU Activation", "difficulty": "Easy", "function_name": "my_gelu", - "hint": "Exact: x * 0.5 * (1 + erf(x / sqrt(2))). Or approximate: 0.5*x*(1+tanh(sqrt(2/pi)*(x+0.044715*x^3))).", + "hint": "Exact: $x \\cdot 0.5 \\cdot (1 + \\text{erf}(x / \\sqrt{2}))$. Or approximate: $0.5x(1+\\tanh(\\sqrt{2/\\pi}(x+0.044715x^3)))$.", "tests": [ { "name": "Matches F.gelu", diff --git a/torch_judge/tasks/layernorm.py b/torch_judge/tasks/layernorm.py index 8feae4a..9ede992 100644 --- a/torch_judge/tasks/layernorm.py +++ b/torch_judge/tasks/layernorm.py @@ -4,7 +4,7 @@ "title": "Implement LayerNorm", "difficulty": "Medium", "function_name": "my_layer_norm", - "hint": "Normalize over the last dim: (x - mean) / sqrt(var + eps), then scale by gamma and shift by beta.", + "hint": "Normalize over the last dim: $(x - \\mu) / \\sqrt{\\sigma^2 + \\epsilon}$, then scale by $\\gamma$ and shift by $\\beta$.", "tests": [ { "name": "Shape and basic behavior", diff --git a/torch_judge/tasks/linear_regression.py b/torch_judge/tasks/linear_regression.py index bf3e3bc..3d8a970 100644 --- a/torch_judge/tasks/linear_regression.py +++ b/torch_judge/tasks/linear_regression.py @@ -4,7 +4,7 @@ "title": "Linear Regression", "difficulty": "Medium", "function_name": "LinearRegression", - "hint": "Closed-form: augment X with ones column, solve w = (X^T X)^{-1} X^T y via torch.linalg.lstsq. Gradient descent: grad_w = (2/N) * X^T @ (pred - y), update w -= lr * grad_w. nn.Linear: create nn.Linear(D, 1), use MSELoss + optimizer.step() loop.", + "hint": "Closed-form: augment $X$ with ones column, solve $w = (X^T X)^{-1} X^T y$ via `torch.linalg.lstsq`. Gradient descent: $\\nabla w = \\frac{2}{N} X^T (\\hat{y} - y)$, update $w \\leftarrow w - \\text{lr} \\cdot \\nabla w$. `nn.Linear`: create `nn.Linear(D, 1)`, use `MSELoss` + `optimizer.step()` loop.", "tests": [ { "name": "Closed-form returns correct shapes", diff --git a/torch_judge/tasks/lora.py b/torch_judge/tasks/lora.py index 8220df9..fbdc8d0 100644 --- a/torch_judge/tasks/lora.py +++ b/torch_judge/tasks/lora.py @@ -4,7 +4,7 @@ "title": "LoRA (Low-Rank Adaptation)", "difficulty": "Medium", "function_name": "LoRALinear", - "hint": "Freeze base linear. Add lora_A (rank, in) and lora_B (out, rank) as Parameters. B init to zeros. output = linear(x) + (x @ A^T @ B^T) * (alpha/rank).", + "hint": "Freeze base linear. Add `lora_A` (rank, in) and `lora_B` (out, rank) as Parameters. B init to zeros. $\\text{output} = \\text{linear}(x) + (x A^T B^T) \\cdot (\\alpha/r)$.", "tests": [ { "name": "Base weights frozen", diff --git a/torch_judge/tasks/rmsnorm.py b/torch_judge/tasks/rmsnorm.py index 86873d0..7feb696 100644 --- a/torch_judge/tasks/rmsnorm.py +++ b/torch_judge/tasks/rmsnorm.py @@ -4,7 +4,7 @@ "title": "Implement RMSNorm", "difficulty": "Medium", "function_name": "rms_norm", - "hint": "RMS(x) = sqrt(mean(x^2) + eps). RMSNorm(x) = x / RMS(x) * weight. Simpler than LayerNorm — no mean subtraction.", + "hint": "$\\text{RMS}(x) = \\sqrt{\\text{mean}(x^2) + \\epsilon}$. $\\text{RMSNorm}(x) = \\frac{x}{\\text{RMS}(x)} \\cdot \\text{weight}$. Simpler than LayerNorm — no mean subtraction.", "tests": [ { "name": "Basic behavior", diff --git a/torch_judge/tasks/rope.py b/torch_judge/tasks/rope.py index 58c7677..c534067 100644 --- a/torch_judge/tasks/rope.py +++ b/torch_judge/tasks/rope.py @@ -4,7 +4,7 @@ "title": "Rotary Position Embedding (RoPE)", "difficulty": "Hard", "function_name": "apply_rope", - "hint": "Split into pairs (x_even, x_odd). Compute angles = pos * 1/(10000^(2i/d)). Rotate: [x_e*cos - x_o*sin, x_e*sin + x_o*cos]. Stack and flatten.", + "hint": "Split into pairs $(x_{\\text{even}}, x_{\\text{odd}})$. Compute $\\theta = \\text{pos} \\cdot 1/(10000^{2i/d})$. Rotate: $[x_e\\cos\\theta - x_o\\sin\\theta, x_e\\sin\\theta + x_o\\cos\\theta]$. Stack and flatten.", "tests": [ { "name": "Output shapes", diff --git a/torch_judge/web_engine.py b/torch_judge/web_engine.py new file mode 100644 index 0000000..c307cd3 --- /dev/null +++ b/torch_judge/web_engine.py @@ -0,0 +1,140 @@ +import io +import sys +import time +import traceback +from contextlib import redirect_stdout, redirect_stderr +from typing import Any, Dict, List, Optional + +from torch_judge.tasks import get_task, TASKS + +def execute_code(task_id: str, user_code: str) -> Dict[str, Any]: + """ + Executes user code in a clean namespace and runs the tests for a specific task. + Returns a structured dictionary with the results. + """ + task = get_task(task_id) + if task is None: + return { + "success": False, + "error": f"Unknown task '{task_id}'.", + "passed": 0, + "total": 0, + "tests": [] + } + + fn_name = task["function_name"] + tests = task["tests"] + total = len(tests) + passed = 0 + total_time = 0.0 + + namespace: Dict[str, Any] = {} + + # 1. Execute the user's code to populate the namespace + stdout_capture = io.StringIO() + stderr_capture = io.StringIO() + + with redirect_stdout(stdout_capture), redirect_stderr(stderr_capture): + try: + exec(compile(user_code, "", "exec"), namespace) + except Exception as e: + tb_lines = traceback.format_exception(type(e), e, e.__traceback__) + clean_tb = [] + for line in tb_lines: + if 'torch_judge/web_engine.py' in line or 'exec(compile(' in line: + continue + clean_tb.append(line) + + return { + "success": False, + "error": "Syntax or execution error in your code.", + "traceback": "".join(clean_tb).strip(), + "stdout": stdout_capture.getvalue(), + "stderr": stderr_capture.getvalue(), + "passed": 0, + "total": total, + "tests": [] + } + + if fn_name not in namespace: + return { + "success": False, + "error": f"Function or class '{fn_name}' not found. Did you define it?", + "stdout": stdout_capture.getvalue(), + "stderr": stderr_capture.getvalue(), + "passed": 0, + "total": total, + "tests": [] + } + + user_fn = namespace[fn_name] + test_results: List[Dict[str, Any]] = [] + + # 2. Run each test against the user's function + for i, test in enumerate(tests, 1): + test_code = test["code"].replace("{fn}", fn_name) + test_namespace: Dict[str, Any] = {fn_name: user_fn} + + test_stdout = io.StringIO() + test_stderr = io.StringIO() + + t0 = time.perf_counter() + test_passed = False + error_msg = None + error_traceback = None + + with redirect_stdout(test_stdout), redirect_stderr(test_stderr): + try: + exec(compile(test_code, f"", "exec"), test_namespace) + test_passed = True + passed += 1 + except AssertionError as e: + error_msg = str(e) or "Assertion failed" + except Exception as e: + error_msg = f"{type(e).__name__}: {e}" + + # Format traceback and filter out internal engine frames + tb_lines = traceback.format_exception(type(e), e, e.__traceback__) + clean_tb = [] + for line in tb_lines: + # Skip frames from our own engine files + if 'torch_judge/web_engine.py' in line or 'torch_judge/engine.py' in line: + continue + # Skip the generic 'exec(compile(...))' line + if 'exec(compile(' in line: + continue + # Simplify the "" framing + if 'in ' in line and ' +# This is NOT the Next.js you know + +This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices. + diff --git a/web/CLAUDE.md b/web/CLAUDE.md new file mode 100644 index 0000000..43c994c --- /dev/null +++ b/web/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md diff --git a/web/README.md b/web/README.md new file mode 100644 index 0000000..e215bc4 --- /dev/null +++ b/web/README.md @@ -0,0 +1,36 @@ +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). + +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/web/eslint.config.mjs b/web/eslint.config.mjs new file mode 100644 index 0000000..05e726d --- /dev/null +++ b/web/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/web/next.config.ts b/web/next.config.ts new file mode 100644 index 0000000..e9ffa30 --- /dev/null +++ b/web/next.config.ts @@ -0,0 +1,7 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + /* config options here */ +}; + +export 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LrJugUA?W`A8`#=m literal 0 HcmV?d00001 diff --git a/web/src/app/globals.css b/web/src/app/globals.css new file mode 100644 index 0000000..01f95ea --- /dev/null +++ b/web/src/app/globals.css @@ -0,0 +1,93 @@ +@import "tailwindcss"; + +@theme { + --color-background: var(--background); + --color-foreground: var(--foreground); +} + +:root { + --background: #1e1e1e; + --foreground: #d4d4d4; +} + +body { + color: var(--foreground); + background: var(--background); + font-family: Arial, Helvetica, sans-serif; + margin: 0; + padding: 0; +} + +/* Custom scrollbar for webkit */ +::-webkit-scrollbar { + width: 10px; + height: 10px; +} +::-webkit-scrollbar-track { + background: #1e1e1e; +} +::-webkit-scrollbar-thumb { + background: #424242; + border-radius: 5px; +} +::-webkit-scrollbar-thumb:hover { + background: #4f4f4f; +} + +/* Markdown Styles */ +.markdown-body { + font-size: 14px; + line-height: 1.6; + color: #eff1f6; + font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; +} +.markdown-body h1:first-child { + display: none; +} +.markdown-body h1, .markdown-body h2, .markdown-body h3, .markdown-body h4 { + margin-top: 1.5em; + margin-bottom: 0.5em; + color: #fff; + font-weight: 600; +} +.markdown-body p { + margin-bottom: 1em; +} +.markdown-body pre { + background-color: #3e3e42; + padding: 1em; + border-radius: 8px; + overflow-x: auto; + margin-bottom: 1em; + color: #eff1f6; +} +.markdown-body code { + font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; + background-color: rgba(255, 255, 255, 0.1); + padding: 0.2em 0.4em; + border-radius: 4px; + font-size: 0.9em; + color: #eff1f6; +} +.markdown-body pre code { + padding: 0; + background-color: transparent; + color: inherit; +} +.markdown-body ul, .markdown-body ol { + margin-bottom: 1em; + padding-left: 2em; +} +.markdown-body li { + margin-bottom: 0.5em; +} + +/* Allotment Sash Styling */ +.sash { + --sash-size: 8px !important; +} +.sash-hover, .sash:hover { + background-color: #f97316 !important; /* Tailwind orange-500 */ + opacity: 0.5; +} + diff --git a/web/src/app/layout.tsx b/web/src/app/layout.tsx new file mode 100644 index 0000000..976eb90 --- /dev/null +++ b/web/src/app/layout.tsx @@ -0,0 +1,33 @@ +import type { Metadata } from "next"; +import { Geist, Geist_Mono } from "next/font/google"; +import "./globals.css"; + +const geistSans = Geist({ + variable: "--font-geist-sans", + subsets: ["latin"], +}); + +const geistMono = Geist_Mono({ + variable: "--font-geist-mono", + subsets: ["latin"], +}); + +export const metadata: Metadata = { + title: "Create Next App", + description: "Generated by create next app", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + {children} + + ); +} diff --git a/web/src/app/page.tsx b/web/src/app/page.tsx new file mode 100644 index 0000000..dfdec0d --- /dev/null +++ b/web/src/app/page.tsx @@ -0,0 +1,455 @@ +"use client"; + +import React, { useState, useEffect } from 'react'; +import Editor from '@monaco-editor/react'; +import ReactMarkdown from 'react-markdown'; +import remarkGfm from 'remark-gfm'; +import remarkMath from 'remark-math'; +import rehypeKatex from 'rehype-katex'; +import 'katex/dist/katex.min.css'; +import { Play, RotateCcw, ChevronDown, Check, X, AlertCircle } from 'lucide-react'; +import { Allotment } from "allotment"; +import "allotment/dist/style.css"; + +const API_BASE = "http://localhost:8000/api"; + +type Task = { + id: string; + title: string; + difficulty: string; +}; + +type TaskDetails = Task & { + hint: string; + description: string; + initial_code: string; +}; + +type TestResult = { + name: string; + code: string; + passed: boolean; + time_ms: number; + error_msg: string | null; + error_traceback: string | null; + stdout: string; + stderr: string; +}; + +type SubmissionResponse = { + success: boolean; + error?: string; + traceback?: string; + passed: number; + total: number; + total_time_ms: number; + tests: TestResult[]; + stdout: string; + stderr: string; +}; + +export default function Home() { + const [tasks, setTasks] = useState([]); + const [selectedTaskId, setSelectedTaskId] = useState(null); + const [taskDetails, setTaskDetails] = useState(null); + const [code, setCode] = useState(""); + const [isSubmitting, setIsSubmitting] = useState(false); + const [results, setResults] = useState(null); + const [activeTab, setActiveTab] = useState<'problem' | 'results'>('problem'); + const [solvedTasks, setSolvedTasks] = useState>({}); + const [isDropdownOpen, setIsDropdownOpen] = useState(false); + + useEffect(() => { + // Load solved tasks from local storage + const savedSolved = localStorage.getItem('torchcode_solved_tasks'); + if (savedSolved) { + try { + setSolvedTasks(JSON.parse(savedSolved)); + } catch (e) { + console.error("Failed to parse solved tasks", e); + } + } + + fetch(`${API_BASE}/tasks`) + .then(res => res.json()) + .then((data: Task[]) => { + setTasks(data); + if (data.length > 0) { + // Select 'relu' initially if available, otherwise first task + const defaultTask = data.find(t => t.id === 'relu') || data[0]; + setSelectedTaskId(defaultTask.id); + } + }) + .catch(err => console.error("Failed to load tasks", err)); + }, []); + + useEffect(() => { + if (selectedTaskId) { + fetch(`${API_BASE}/tasks/${selectedTaskId}`) + .then(res => res.json()) + .then((data: TaskDetails) => { + setTaskDetails(data); + const savedCode = localStorage.getItem(`torchcode_code_${selectedTaskId}`); + setCode(savedCode !== null ? savedCode : data.initial_code); + setResults(null); + setActiveTab('problem'); + }) + .catch(err => console.error("Failed to load task details", err)); + } + }, [selectedTaskId]); + + const handleRunCode = async () => { + if (!selectedTaskId) return; + + setIsSubmitting(true); + setResults(null); + setActiveTab('results'); // Auto-switch to results tab + + try { + const res = await fetch(`${API_BASE}/submit/${selectedTaskId}`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ code }), + }); + const data: SubmissionResponse = await res.json(); + setResults(data); + + if (data.success) { + setSolvedTasks(prev => { + const updated = { ...prev, [selectedTaskId]: true }; + localStorage.setItem('torchcode_solved_tasks', JSON.stringify(updated)); + return updated; + }); + } + } catch (err) { + console.error("Submission failed", err); + setResults({ + success: false, + error: "Failed to connect to backend engine.", + passed: 0, + total: 0, + total_time_ms: 0, + tests: [], + stdout: "", + stderr: "" + }); + } finally { + setIsSubmitting(false); + } + }; + + const handleReset = () => { + if (taskDetails && selectedTaskId) { + localStorage.removeItem(`torchcode_code_${selectedTaskId}`); + setCode(taskDetails.initial_code); + setResults(null); + } + }; + + return ( +
+ {/* Top Navbar */} + + + {/* Main Split Content */} +
+ + {/* Left Pane: Problem Description / Results Tab */} +
+ {/* Tabs */} +
+ + +
+ +
+ {activeTab === 'problem' ? ( +
+ {taskDetails ? ( + <> +

{taskDetails.title}

+
+ + {taskDetails.difficulty} + + {selectedTaskId && solvedTasks[selectedTaskId] && ( +
+ + Solved +
+ )} +
+ + {taskDetails.description} + + {taskDetails.hint && ( +
+
+ + 💡 Hint + + +
+ + {taskDetails.hint} + +
+
+
+ )} + + ) : ( +
Loading problem...
+ )} +
+ ) : ( +
+ {isSubmitting ? ( +
+ Executing PyTorch code... +
+ ) : results ? ( +
+
+ {results.success ? "Accepted" : "Wrong Answer"} +
+ + {results.error && ( +
+
+ Error +
+ 
{results.error}
+ {results.traceback && ( + 
{results.traceback}
+ )} +
+ )} + + {results.tests && results.tests.length > 0 && ( +
+

Test Cases

+ {results.tests.map((test, idx) => ( +
+
+
+ {test.passed ? ( + + ) : ( + + )} + Case {idx + 1}: {test.name} +
+ {test.time_ms.toFixed(1)}ms +
+ + {/* Test Code Viewer */} + {test.code && ( +
+
+ + + Test Source Code + +
+ 
{test.code}
+
+
+
+ )} + + {/* Failed Assertions */} + {!test.passed && test.error_msg && ( +
+ + {test.error_msg} + + {test.error_traceback && ( + 
{test.error_traceback}
+ )} +
+ )} + + {/* Stdout / Stderr for specific test if any */} + {test.stdout && ( +
+
Standard Output
+ 
{test.stdout}
+
+ )} +
+ ))} +
+ )} + + {/* Global Stdout */} + {results.stdout && ( +
+

Global Output

+ 
+                          {results.stdout}
+
+
+ )} +
+ ) : ( +
+ +

Run your code to see results here.

+
+ )} +
+ )} +
+
+ + {/* Right Pane: Code Editor */} +
+
+ + Python (PyTorch) + +
+
+ { + const newCode = value || ""; + setCode(newCode); + if (selectedTaskId) { + localStorage.setItem(`torchcode_code_${selectedTaskId}`, newCode); + } + }} + options={{ + minimap: { enabled: false }, + fontSize: 14, + fontFamily: "'JetBrains Mono', 'Menlo', 'Monaco', 'Courier New', monospace", + lineHeight: 24, + padding: { top: 16 }, + scrollBeyondLastLine: false, + smoothScrolling: true, + cursorBlinking: "smooth", + cursorSmoothCaretAnimation: "on", + formatOnPaste: true, + }} + /> +
+
+ +
+
+ ); +} diff --git a/web/tsconfig.json b/web/tsconfig.json new file mode 100644 index 0000000..cf9c65d --- /dev/null +++ b/web/tsconfig.json @@ -0,0 +1,34 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts", + "**/*.mts" + ], + "exclude": ["node_modules"] +} From 7fd231f4cacfc0f1d723491c599cef37b82d0c68 Mon Sep 17 00:00:00 2001 From: Haresh Karnan Date: Mon, 13 Apr 2026 16:01:40 -0700 Subject: [PATCH 2/2] docs: add Option 3 (Standalone Web UI) to README --- README.md | 19 +++++++++++++++++++ assets/ui_preview.png | Bin 0 -> 326742 bytes 2 files changed, 19 insertions(+) create mode 100644 assets/ui_preview.png diff --git a/README.md b/README.md index 6988376..d3e2756 100644 --- a/README.md +++ b/README.md @@ -100,6 +100,25 @@ make run Open **** — that's it. Works with both Docker and Podman (auto-detected). +### Option 3 — Standalone Web UI (Next.js + FastAPI) + +For a modern, standalone coding experience with an integrated IDE and dual-pane layout: + +1. **Start Backend (FastAPI):** + ```bash + pip install -r api/requirements.txt + python -m uvicorn api.main:app --port 8000 --reload + ``` +2. **Start Frontend (Next.js):** + ```bash + cd web + npm install + npm run dev + ``` +3. Open **** in your browser. + +![TorchCode UI Preview](assets/ui_preview.png) + --- ## 📋 Problem Set diff --git a/assets/ui_preview.png b/assets/ui_preview.png new file mode 100644 index 0000000000000000000000000000000000000000..4f68bac6081cdfe55e4bef571b0fa5264ad27af0 GIT binary patch literal 326742 zcmbrkbzD?i+dfVyB`qM`DUH%4Al==KGz`tqNJ&Ub4k@K{cb7EM9TGz$44uEhbKd9i zyyyEn?;mGAdzi)Ed)2+J`?_PTFeL>^G!#M<7#J8dX(@3P7#P$M7?`KlNKc`6s!bO~ zVPKxgTZxG&NsEb*D>*s5v$8dZfsqRPq=~4d+K-o^t3rW*BrYPeEsq(CEh2-&?0-u6 zK}HHL2-{Rtsp4}4N~ykhc}@{|I0K z^2}$VmLT99T3FxjH8OrD4j+-h&gg!O!;zE~-9+$1k@!jbtZy1lWj{MSWLYZ7 zk@xPFv$c2>G4G!Ht($;kUbK}(xX0afvgw<5dX(L2AK*`Vkg+grM2IOyqtN#1q#3?# zNIaYU_MCk{i-|ljjJo5V(Wm&8KHl>Qhc-@4AxwTZO4Xr=?LN&Dj&)JBhE7t{OP~8L zt#bR=AROT=s<>!WvJY?RQIOPnqT=7iU25S*?@2>$P1Q^t`K=Vx+5`_-2aq*R-eLCj zLrf8Sx4<1eU&i|)a)HW@jKaq!Oum*017zN;NQiovFj^w8HiXH~D*fwgids>Zzj(ff zA^Rrs6caYo_nncriD5K?f$1CAOB_n97>p>$(H?Gq_cuS1PDb8i@`6S_|I>S+JQ*$z zI7b#Fc;24|-wUV-PRU^fLLx88NRN$i+g~^tsh>Z1`TF0D0LXEcN9muwGy9In6c*48 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