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Runtime error
Runtime error
Commit ·
521a4bd
1
Parent(s): 3a034c6
Update app.py
Browse files
app.py
CHANGED
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@@ -1,201 +1,18 @@
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#
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Linux ke liye (lscpu, lspci, nvidia-smi use karta hai)
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"""
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try:
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result = subprocess.run(
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cmd, shell=True, capture_output=True, text=True, timeout=10
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)
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if result.returncode == 0:
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return result.stdout.strip()
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return None
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except Exception:
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return None
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def print_section(title):
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print("\n" + "=" * 60)
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print(f" {title}")
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print("=" * 60)
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def check_cpu():
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print_section("CPU Information (lscpu)")
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# 1. Basic lscpu info
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out = run_cmd("lscpu")
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if out:
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# Extract key lines
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keys = [
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"Architecture", "CPU(s)", "Thread(s) per core", "Core(s) per socket",
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"Socket(s)", "NUMA node(s)", "Model name", "CPU MHz",
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"CPU max MHz", "CPU min MHz", "L1d cache", "L2 cache", "L3 cache"
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]
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for line in out.split("\n"):
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for key in keys:
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if line.strip().startswith(key):
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print(line.strip())
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break
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else:
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print("lscpu nahi mila. /proc/cpuinfo se try kar rahe hain...")
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out = run_cmd("cat /proc/cpuinfo")
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if out:
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for line in out.split("\n"):
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if "model name" in line or "cpu cores" in line or "siblings" in line:
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print(line.strip())
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# 2. Physical vs Logical cores summary
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print("\n--- Summary ---")
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logical = os.cpu_count()
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print(f"Logical CPUs (os.cpu_count): {logical}")
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# Try to get physical cores from lscpu
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lscpu_out = run_cmd("lscpu")
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if lscpu_out:
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physical = None
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threads_per_core = None
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sockets = None
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for line in lscpu_out.split("\n"):
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if "Core(s) per socket" in line:
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try:
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physical = int(line.split(":")[-1].strip())
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except: pass
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if "Thread(s) per core" in line:
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try:
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threads_per_core = int(line.split(":")[-1].strip())
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except: pass
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if line.strip().startswith("Socket(s)"):
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try:
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sockets = int(line.split(":")[-1].strip())
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except: pass
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if physical and sockets:
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total_physical = physical * sockets
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print(f"Physical Cores (estimated): {total_physical}")
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if threads_per_core:
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print(f"Threads per Core: {threads_per_core}")
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print(f"Hyperthreading: {'ON' if threads_per_core and threads_per_core > 1 else 'OFF'}")
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print(f"\n💡 Recommendation: NUM_WORKERS = {total_physical} (physical cores)")
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print(f" Ya test karein: {total_physical // 2}, {total_physical}, {total_physical * 2}")
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def check_gpu():
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print_section("GPU Information")
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# 1. lspci se GPU detect karo
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print("--- PCI Devices (lspci) ---")
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out = run_cmd("lspci | grep -iE 'vga|3d|display'")
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if out:
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print(out)
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else:
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print("lspci se GPU detect nahi hua (ya lspci nahi hai).")
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# 2. NVIDIA GPU (nvidia-smi)
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print("\n--- NVIDIA GPU (nvidia-smi) ---")
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if shutil.which("nvidia-smi"):
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out = run_cmd(
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"nvidia-smi --query-gpu=index,name,driver_version,memory.total "
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"--format=csv,noheader"
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)
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if out:
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print("Index | Name | Driver | VRAM")
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print("-" * 50)
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for line in out.split("\n"):
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print(line)
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else:
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print("nvidia-smi present hai lekin output nahi aaya (driver issue?).")
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else:
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print("nvidia-smi nahi mila. NVIDIA GPU nahi hai ya driver install nahi hai.")
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# 3. AMD GPU
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print("\n--- AMD GPU (rocm-smi) ---")
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if shutil.which("rocm-smi"):
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out = run_cmd("rocm-smi --showproductname")
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if out:
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print(out)
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else:
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print("rocm-smi present lekin output nahi aaya.")
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else:
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print("rocm-smi nahi mila. AMD GPU nahi hai ya ROCm install nahi hai.")
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# 4. PyTorch CUDA check
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print("\n--- PyTorch CUDA Check ---")
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try:
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import torch
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if torch.cuda.is_available():
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print(f"✅ CUDA available: {torch.cuda.device_count()} GPU(s)")
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for i in range(torch.cuda.device_count()):
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print(f" GPU {i}: {torch.cuda.get_device_name(i)}")
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props = torch.cuda.get_device_properties(i)
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print(f" VRAM: {props.total_memory / 1024**3:.2f} GB")
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print(f" Compute Capability: {props.major}.{props.minor}")
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else:
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print("❌ CUDA available nahi hai (PyTorch installed hai lekin GPU nahi mila).")
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except ImportError:
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print("PyTorch install nahi hai (torch import fail).")
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def check_python_env():
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print_section("Python Environment")
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try:
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import mnemonic
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print(f"mnemonic: {mnemonic.__version__ if hasattr(mnemonic, '__version__') else 'installed'}")
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except ImportError:
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print("mnemonic: ❌ NOT installed")
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try:
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import bip39
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print(f"bip39 (Rust): ✅ installed")
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except ImportError:
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print("bip39 (Rust): ❌ NOT installed — 'pip install bip39' karein (5-7x fast)")
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try:
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import coincurve
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print(f"coincurve: ✅ installed")
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except ImportError:
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print("coincurve: ❌ NOT installed")
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try:
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import eth_account
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print(f"eth_account: ✅ installed")
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except ImportError:
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print("eth_account: ❌ NOT installed")
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import platform
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print(f"\nPython: {platform.python_version()}")
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print(f"OS: {platform.system()} {platform.release()}")
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def main():
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print("\n" + "█" * 60)
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print(" SYSTEM INFORMATION FOR WORKER DECISION")
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print("█" * 60)
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check_cpu()
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check_gpu()
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check_python_env()
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print("\n" + "=" * 60)
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print(" FINAL RECOMMENDATION")
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print("=" * 60)
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print("""
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1. CPU Workers: Physical cores ke barabar rakhein.
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- 96 workers pe test karein, phir 48 aur 192 se compare karein.
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- Hyperthreading ON hai to physical cores = logical / 2.
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2. GPU: Agar NVIDIA GPU hai (nvidia-smi se pata chala) to
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CPU se 50-100x fast ho sakta hai — Hashcat ya custom CUDA use karein.
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3. BIP39 Speed: 'pip install bip39' (Rust) zaroor karein —
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Python mnemonic se 5-7x fast hai.
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4. Aapka match ho chuka hai — ab sirf optimize karna hai to
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ye info kaafi hai.
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""")
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if __name__ == "__main__":
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# test_chunksize.py
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import time
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from multiprocessing import Pool
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def process(batch):
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# Simple CPU kaam — 5000 phrases simulate
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total = 0
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for i in range(5000):
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total += i * i
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return total
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if __name__ == "__main__":
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for cs in [1, 2, 4, 8, 16]:
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with Pool(48) as p:
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start = time.time()
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list(p.imap_unordered(process, range(2000), chunksize=cs))
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elapsed = time.time() - start
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print(f"chunksize={cs:2d}: {elapsed:.2f}s")
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