# Can any run see if this Pi-based Reconstruction and Archival Protocol Works?

**URL:** <https://discuss.huggingface.co/t/can-any-run-see-if-this-pi-based-reconstruction-and-archival-protocol-works/175057>\
**Category:** Beginners\
**Created:** [April 7, 2026, 5:31pm UTC](https://discuss.huggingface.co/t/can-any-run-see-if-this-pi-based-reconstruction-and-archival-protocol-works/175057 "2026-04-07T17:31:30Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![ebearden](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/ebearden/32/46689_2.png) [@ebearden](https://discuss.huggingface.co/u/ebearden)\
**Post date:** [April 7, 2026, 5:31pm UTC](https://discuss.huggingface.co/t/can-any-run-see-if-this-pi-based-reconstruction-and-archival-protocol-works/175057/1 "2026-04-07T17:31:30Z")

</div>

#!/usr/bin/env python3  
“”"  
Pi-RAP: Pi-based Reconstruction & Archival Protocol  
Complete File System with Error Correction, Encryption, Compression  
Inspired by “No Way Out” (1987) reconstruction scene

Features:

- Pi-based sector distribution
- Reed-Solomon error correction
- Pi stream cipher encryption
- Zlib compression
- Network distribution simulation
- Checksum verification
- Progress tracking  
“”"

import os  
import sys  
import zlib  
import hashlib  
import random  
import struct  
import json  
import time  
from pathlib import Path  
from datetime import datetime  
from typing import Dict, List, Tuple, Optional  
import math

# Try to import reedsolo for advanced error correction

try:  
import reedsolo  
REED\_SOLOMON\_AVAILABLE = True  
except ImportError:  
REED\_SOLOMON\_AVAILABLE = False  
print(“Note: Install ‘reedsolo’ for advanced error correction: pip install reedsolo”)

class PiDigitGenerator:  
“”“Generate Pi digits using spigot algorithm”“”

```auto
def __init__ (self):
    self.digits = self._calculate_pi_digits(10000)

def _calculate_pi_digits(self, n_digits: int) -> str:
    """Calculate Pi digits using spigot algorithm"""
    if n_digits < 100:
        # Use pre-calculated for small requests
        pi_str = "14159265358979323846264338327950288419716939937510"
        pi_str += "58209749445923078164062862089986280348253421170679"
        return pi_str[:n_digits]
    
    # Spigot algorithm for more digits
    pi_digits = []
    arr = [2] * (n_digits * 10 // 3)
    carry = 0
    
    for i in range(n_digits):
        sum_val = 0
        for j in range(len(arr) - 1, -1, -1):
            num = arr[j] * 10 + carry
            if j == 0:
                pi_digits.append(str(num // (2 * j + 1)))
                carry = num % (2 * j + 1)
            else:
                arr[j] = num % (2 * j + 1)
                sum_val = num // (2 * j + 1)
                carry = sum_val * (j)
        
        if len(pi_digits) >= n_digits:
            break
    
    result = ''.join(pi_digits[:n_digits])
    return result if result else "14159265358979323846264338327950288419716939937510"

def get_digit(self, position: int) -> int:
    """Get Pi digit at specific position (0-indexed)"""
    if position < len(self.digits):
        return int(self.digits[position])
    return int(self.digits[position % len(self.digits)])

def get_digits(self, start: int, length: int) -> str:
    """Get a sequence of Pi digits"""
    result = ""
    for i in range(length):
        result += str(self.get_digit(start + i))
    return result

```

class PiStreamCipher:  
“”“Encryption using Pi digits as stream cipher key”“”

```auto
def __init__ (self, pi_gen: PiDigitGenerator, seed: int = 0):
    self.pi_gen = pi_gen
    self.seed = seed

def _generate_keystream(self, length: int) -> bytes:
    """Generate keystream from Pi digits"""
    keystream = bytearray()
    position = self.seed
    
    # Generate enough bytes
    while len(keystream) < length:
        # Get multiple Pi digits and combine them
        digits = self.pi_gen.get_digits(position, 4)
        byte_val = int(digits) % 256
        keystream.append(byte_val)
        position += 4
    
    return bytes(keystream[:length])

def encrypt(self, data: bytes) -> bytes:
    """Encrypt data using XOR with Pi keystream"""
    keystream = self._generate_keystream(len(data))
    encrypted = bytes(a ^ b for a, b in zip(data, keystream))
    return encrypted

def decrypt(self, data: bytes) -> bytes:
    """Decrypt data (same as encrypt for XOR cipher)"""
    return self.encrypt(data)

```

class ReedSolomonCodec:  
“”“Error correction using Reed-Solomon codes”“”

```auto
def __init__ (self, nsym: int = 10):
    """
    nsym: number of error correction symbols
    More symbols = more error correction but larger overhead
    """
    self.nsym = nsym
    self.rs = None
    
    if REED_SOLOMON_AVAILABLE:
        try:
            self.rs = reedsolo.RSCodec(nsym)
        except:
            self.rs = None

def encode(self, data: bytes) -> bytes:
    """Add error correction codes"""
    if self.rs:
        return self.rs.encode(data)
    else:
        # Simple parity fallback
        parity = bytes([sum(data) % 256])
        return data + parity * self.nsym

def decode(self, data: bytes) -> bytes:
    """Remove error correction and correct errors"""
    if self.rs:
        try:
            return self.rs.decode(data)[0]
        except:
            return data[:len(data) - self.nsym]
    else:
        # Simple parity fallback
        return data[:-self.nsym] if self.nsym > 0 else data

```

class NetworkDistributor:  
“”“Simulate network distribution across multiple nodes”“”

```auto
def __init__ (self, num_nodes: int = 5):
    self.num_nodes = num_nodes
    self.nodes = {f"node_{i}": {} for i in range(num_nodes)}

def distribute(self, sectors: Dict[str, dict]) -> Dict[str, Dict]:
    """Distribute sectors across network nodes"""
    distribution = {}
    
    for sector_id, sector_data in sectors.items():
        # Use Pi digit to determine primary and backup nodes
        sector_num = int(sector_id.split('_')[-1].replace('.dat', ''))
        pi_digit = sector_num % 10
        
        primary_node = f"node_{pi_digit % self.num_nodes}"
        backup_node = f"node_{(pi_digit + 1) % self.num_nodes}"
        
        # Store on primary node
        self.nodes[primary_node][sector_id] = {
            'data': sector_data['data'],
            'type': 'primary'
        }
        
        # Store backup on secondary node
        self.nodes[backup_node][sector_id] = {
            'data': sector_data['data'],
            'type': 'backup'
        }
        
        distribution[sector_id] = {
            'primary': primary_node,
            'backup': backup_node
        }
    
    return distribution

def simulate_node_failure(self, failed_node: str) -> int:
    """Simulate a node going offline"""
    if failed_node in self.nodes:
        lost_sectors = len(self.nodes[failed_node])
        self.nodes[failed_node] = {}
        return lost_sectors
    return 0

def recover_from_backup(self, lost_sectors: List[str]) -> Dict[str, dict]:
    """Recover lost sectors from backup nodes"""
    recovered = {}
    
    for sector_id in lost_sectors:
        for node_name, node_data in self.nodes.items():
            if sector_id in node_data:
                if node_data[sector_id]['type'] == 'backup':
                    # Promote backup to primary
                    node_data[sector_id]['type'] = 'primary'
                    recovered[sector_id] = node_data[sector_id]['data']
                    break
    
    return recovered

def get_all_sectors(self) -> Dict[str, dict]:
    """Get all sectors from all nodes"""
    all_sectors = {}
    for node_name, node_data in self.nodes.items():
        for sector_id, sector_info in node_data.items():
            if sector_info['type'] == 'primary':
                all_sectors[sector_id] = {
                    'data': sector_info['data'],
                    'node': node_name
                }
    return all_sectors

```

class PiRAPFileSystem:  
“”“Main Pi-RAP File System”“”

```auto
def __init__ (self, config: dict = None):
    self.config = config or {
        'sector_size': 50000, # bits
        'compression': True,
        'encryption': True,
        'error_correction': True,
        'encryption_seed': 0,
        'network_nodes': 5,
        'redundancy_level': 2,
        'verbose': True
    }
    
    # Initialize components
    self.pi_gen = PiDigitGenerator()
    self.cipher = PiStreamCipher(self.pi_gen, self.config.get('encryption_seed', 0))
    self.rs_codec = ReedSolomonCodec(nsym=10 if self.config.get('error_correction') else 0)
    self.network = NetworkDistributor(self.config.get('network_nodes', 5))
    
    self.byte_sector_size = self.config.get('sector_size', 50000) // 8
    self.storage_map = {}
    self.file_metadata = {}
    self.distribution_map = {}
    
    # Statistics
    self.stats = {
        'original_size': 0,
        'compressed_size': 0,
        'encrypted_size': 0,
        'total_sectors': 0,
        'compression_ratio': 0,
        'processing_time': 0
    }

def log(self, message: str, level: str = "INFO"):
    """Log message with timestamp"""
    if self.config.get('verbose', True):
        timestamp = datetime.now().strftime("%H:%M:%S")
        print(f"[{timestamp}] [{level}] {message}")

def progress_bar(self, current: int, total: int, prefix: str = "", length: int = 40):
    """Display progress bar"""
    if not self.config.get('verbose', True):
        return
    
    percent = 100 * (current / total) if total > 0 else 0
    filled = int(length * current // total)
    bar = '█' * filled + '░' * (length - filled)
    sys.stdout.write(f'\r{prefix} |{bar}| {percent:.1f}% ({current}/{total})')
    sys.stdout.flush()
    if current >= total:
        print()

def calculate_checksum(self, data: bytes) -> str:
    """Calculate SHA-256 checksum"""
    return hashlib.sha256(data).hexdigest()

def compress_data(self, data: bytes) -> bytes:
    """Compress data using zlib"""
    if not self.config.get('compression', True):
        return data
    
    compressed = zlib.compress(data, level=9)
    compression_ratio = len(compressed) / len(data) if len(data) > 0 else 1
    self.stats['compression_ratio'] = compression_ratio
    return compressed

def decompress_data(self, data: bytes) -> bytes:
    """Decompress data"""
    if not self.config.get('compression', True):
        return data
    
    try:
        return zlib.decompress(data)
    except:
        return data

def read_file(self, filepath: str) -> Tuple[bytes, str]:
    """Read file and calculate checksum"""
    self.log(f"Reading file: {filepath}")
    
    with open(filepath, 'rb') as f:
        data = f.read()
    
    checksum = self.calculate_checksum(data)
    file_size = len(data)
    
    self.stats['original_size'] = file_size
    
    self.log(f"File size: {file_size:,} bytes ({file_size*8:,} bits)")
    self.log(f"SHA-256: {checksum[:32]}...")
    
    return data, checksum

def create_sectors(self, data: bytes, filename: str) -> List[bytes]:
    """Break data into sectors"""
    self.log(f"Creating sectors ({self.byte_sector_size:,} bytes each)...")
    
    # Pad data if needed
    original_len = len(data)
    if len(data) % self.byte_sector_size != 0:
        padding_len = self.byte_sector_size - (len(data) % self.byte_sector_size)
        data = data + b'\x00' * padding_len
    
    # Split into sectors
    sectors = []
    total_sectors = len(data) // self.byte_sector_size
    
    for i in range(total_sectors):
        start = i * self.byte_sector_size
        end = start + self.byte_sector_size
        sector_data = data[start:end]
        sectors.append(sector_data)
        
        if self.config.get('verbose', True):
            self.progress_bar(i + 1, total_sectors, "Sectorizing")
    
    self.stats['total_sectors'] = len(sectors)
    
    # Store metadata
    self.file_metadata = {
        'filename': filename,
        'original_size': original_len,
        'padded_size': len(data),
        'num_sectors': len(sectors),
        'sector_size': self.byte_sector_size,
        'timestamp': datetime.now().isoformat(),
        'config': self.config
    }
    
    self.log(f"✓ Created {len(sectors)} sectors")
    
    return sectors

def encrypt_and_encode_sectors(self, sectors: List[bytes]) -> Dict[str, dict]:
    """Encrypt sectors and add error correction"""
    self.log("Encrypting and adding error correction...")
    
    encrypted_sectors = {}
    total = len(sectors)
    
    for idx, sector in enumerate(sectors):
        # Encrypt
        if self.config.get('encryption', True):
            encrypted = self.cipher.encrypt(sector)
        else:
            encrypted = sector
        
        # Add error correction
        if self.config.get('error_correction', True):
            encoded = self.rs_codec.encode(encrypted)
        else:
            encoded = encrypted
        
        # Determine storage location using Pi
        pi_digit = self.pi_gen.get_digit(idx)
        disk_id = f"Disk_{pi_digit}"
        sector_address = f"{disk_id}/sector_{idx:06d}.dat"
        
        encrypted_sectors[sector_address] = {
            'data': encoded,
            'original_index': idx,
            'pi_digit': pi_digit,
            'disk_id': disk_id,
            'size': len(encoded)
        }
        
        if self.config.get('verbose', True):
            self.progress_bar(idx + 1, total, "Encrypting")
    
    self.log(f"✓ Encoded {len(encrypted_sectors)} sectors")
    
    return encrypted_sectors

def scatter_sectors(self, sectors: Dict[str, dict]):
    """Distribute sectors across network"""
    self.log(f"Distributing across {self.config.get('network_nodes', 5)} nodes...")
    
    # Network distribution
    self.distribution_map = self.network.distribute(sectors)
    
    # Also store locally
    self.storage_map = sectors
    
    self.log(f"✓ Distributed to {len(self.distribution_map)} locations")
    
    # Show distribution stats
    node_counts = {}
    for sector_id, dist_info in self.distribution_map.items():
        primary = dist_info['primary']
        node_counts[primary] = node_counts.get(primary, 0) + 1
    
    self.log("Distribution across nodes:")
    for node, count in sorted(node_counts.items()):
        self.log(f" {node}: {count} sectors")

def simulate_data_loss(self, loss_percentage: float = 10) -> Tuple[Dict, List]:
    """Simulate data loss for testing recovery"""
    self.log(f"⚠️ Simulating {loss_percentage}% data loss...")
    
    all_sectors = self.network.get_all_sectors()
    total_sectors = len(all_sectors)
    num_lost = int(total_sectors * loss_percentage / 100)
    
    # Randomly select sectors to lose
    lost_keys = random.sample(list(all_sectors.keys()), num_lost)
    
    # Remove from network
    for sector_id in lost_keys:
        for node_name in self.network.nodes:
            if sector_id in self.network.nodes[node_name]:
                del self.network.nodes[node_name][sector_id]
    
    remaining = self.network.get_all_sectors()
    
    self.log(f" Lost: {len(lost_keys)} sectors")
    self.log(f" Remaining: {len(remaining)} sectors")
    
    return remaining, lost_keys

def recover_and_reconstruct(self, available_sectors: Dict = None) -> bytes:
    """Recover from backups and reconstruct file"""
    self.log("🔨 Recovering and reconstructing...")
    
    if available_sectors is None:
        available_sectors = self.network.get_all_sectors()
    
    # Check for missing sectors
    total_expected = self.file_metadata.get('num_sectors', 0)
    available_count = len(available_sectors)
    missing_count = total_expected - available_count
    
    if missing_count > 0:
        self.log(f" Missing {missing_count} sectors, attempting recovery...")
        
        # Try to recover from backups
        all_sectors = {}
        for node_name, node_data in self.network.nodes.items():
            for sector_id, sector_info in node_data.items():
                if sector_id not in all_sectors:
                    all_sectors[sector_id] = sector_info
        
        available_sectors = all_sectors
    
    # Sort sectors by index
    sorted_sectors = sorted(
        available_sectors.items(),
        key=lambda x: x[1].get('original_index', 0)
    )
    
    # Reconstruct data
    reconstructed_data = b''
    
    for sector_id, sector_info in sorted_sectors:
        sector_data = sector_info['data']
        
        # Remove error correction
        if self.config.get('error_correction', True):
            decoded = self.rs_codec.decode(sector_data)
        else:
            decoded = sector_data
        
        # Decrypt
        if self.config.get('encryption', True):
            decrypted = self.cipher.decrypt(decoded)
        else:
            decrypted = decoded
        
        reconstructed_data += decrypted
    
    # Remove padding
    original_size = self.file_metadata.get('original_size', len(reconstructed_data))
    reconstructed_data = reconstructed_data[:original_size]
    
    self.log(f"✓ Reconstructed {len(reconstructed_data):,} bytes")
    
    return reconstructed_data

def verify_integrity(self, data: bytes, original_checksum: str) -> bool:
    """Verify reconstructed data matches original"""
    self.log("✅ Verifying integrity...")
    
    reconstructed_checksum = self.calculate_checksum(data)
    
    self.log(f" Original: {original_checksum}")
    self.log(f" Reconstructed: {reconstructed_checksum}")
    
    if reconstructed_checksum == original_checksum:
        self.log("🎉 SUCCESS! Checksum MATCH!")
        return True
    else:
        self.log("❌ FAILURE! Checksum mismatch!")
        return False

def save_file(self, data: bytes, output_path: str):
    """Save reconstructed file"""
    self.log(f"💾 Saving to: {output_path}")
    
    with open(output_path, 'wb') as f:
        f.write(data)
    
    file_size = os.path.getsize(output_path)
    self.log(f"✓ Saved {file_size:,} bytes")

def process_file(self, input_path: str, output_path: str = None, 
                 simulate_loss: float = 0) -> bool:
    """Complete pipeline: Read → Process → Scatter → Recover → Verify"""
    
    start_time = time.time()
    
    if output_path is None:
        output_path = "reconstructed_" + os.path.basename(input_path)
    
    print("\n" + "="*70)
    print("🥧 Pi-RAP FILE SYSTEM v2.0 - COMPLETE EDITION")
    print("="*70)
    print(f"Input: {input_path}")
    print(f"Output: {output_path}")
    print(f"Config: Compression={self.config.get('compression')}, " +
          f"Encryption={self.config.get('encryption')}, " +
          f"Error Correction={self.config.get('error_correction')}")
    print("="*70)
    
    try:
        # Step 1: Read file
        original_data, checksum = self.read_file(input_path)
        
        # Step 2: Compress
        if self.config.get('compression', True):
            self.log("Compressing data...")
            compressed_data = self.compress_data(original_data)
            self.stats['compressed_size'] = len(compressed_data)
            self.log(f"✓ Compressed: {len(original_data):,} → {len(compressed_data):,} bytes " +
                    f"({self.stats['compression_ratio']*100:.1f}%)")
        else:
            compressed_data = original_data
        
        # Step 3: Create sectors
        sectors = self.create_sectors(compressed_data, input_path)
        
        # Step 4: Encrypt and encode
        encrypted_sectors = self.encrypt_and_encode_sectors(sectors)
        self.stats['encrypted_size'] = sum(s['size'] for s in encrypted_sectors.values())
        
        # Step 5: Scatter across network
        self.scatter_sectors(encrypted_sectors)
        
        # Step 6: Simulate data loss (optional)
        if simulate_loss > 0:
            available_sectors, lost = self.simulate_data_loss(simulate_loss)
        else:
            available_sectors = self.network.get_all_sectors()
        
        # Step 7: Recover and reconstruct
        reconstructed_compressed = self.recover_and_reconstruct(available_sectors)
        
        # Step 8: Decompress
        if self.config.get('compression', True):
            self.log("Decompressing...")
            reconstructed_data = self.decompress_data(reconstructed_compressed)
        else:
            reconstructed_data = reconstructed_compressed
        
        # Step 9: Verify
        success = self.verify_integrity(reconstructed_data, checksum)
        
        # Step 10: Save
        if success:
            self.save_file(reconstructed_data, output_path)
        
        # Calculate statistics
        self.stats['processing_time'] = time.time() - start_time
        
        # Print summary
        print("\n" + "="*70)
        print("📊 PROCESSING SUMMARY")
        print("="*70)
        print(f"Original size: {self.stats['original_size']:,} bytes")
        print(f"Compressed size: {self.stats['compressed_size']:,} bytes")
        print(f"Total sectors: {self.stats['total_sectors']:,}")
        print(f"Compression ratio: {self.stats['compression_ratio']*100:.2f}%")
        print(f"Processing time: {self.stats['processing_time']:.3f} seconds")
        if self.stats['processing_time'] > 0:
            throughput = self.stats['original_size'] / self.stats['processing_time'] / 1024 / 1024
            print(f"Throughput: {throughput:.2f} MB/s")
        print("="*70)
        
        if success:
            print("✅ PROCESSING COMPLETE - SUCCESS!")
        else:
            print("❌ PROCESSING COMPLETE - FAILED!")
        print("="*70 + "\n")
        
        return success
        
    except Exception as e:
        self.log(f"ERROR: {str(e)}", "ERROR")
        import traceback
        traceback.print_exc()
        return False

```

def create\_test\_file(filepath: str, size\_kb: int = 100):  
“”“Create a test file with random data”“”  
print(f"Creating test file: {filepath} ({size\_kb} KB)")

```auto
# Create JPEG-like header
data = bytearray()
data.extend(b'\xFF\xD8\xFF\xE0\x00\x10JFIF') # JPEG header
data.extend(b'\x00' * (size_kb * 1024 - 20)) # Fill with zeros
data.extend(b'\xFF\xD9') # JPEG footer

with open(filepath, 'wb') as f:
    f.write(data)

print(f"✓ Test file created")

```

def main():  
“”“Main entry point with CLI”“”  
import argparse

```auto
parser = argparse.ArgumentParser(
    description='Pi-RAP: Pi-based Reconstruction & Archival Protocol',
    formatter_class=argparse.RawDescriptionHelpFormatter,
    epilog="""

```

Examples:  
python pi\_rap\_complete.py -i myfile.jpg  
python pi\_rap\_complete.py -i myfile.jpg --loss 15  
python pi\_rap\_complete.py -i myfile.jpg --no-compression --no-encryption  
python pi\_rap\_complete.py --test  
“”"  
)

```auto
parser.add_argument('-i', '--input', help='Input file path')
parser.add_argument('-o', '--output', help='Output file path')
parser.add_argument('--loss', type=float, default=0, 
                   help='Simulate data loss percentage (0-100)')
parser.add_argument('--sector-size', type=int, default=50000,
                   help='Sector size in bits (default: 50000)')
parser.add_argument('--nodes', type=int, default=5,
                   help='Number of network nodes (default: 5)')
parser.add_argument('--seed', type=int, default=0,
                   help='Encryption seed (default: 0)')
parser.add_argument('--no-compression', action='store_true',
                   help='Disable compression')
parser.add_argument('--no-encryption', action='store_true',
                   help='Disable encryption')
parser.add_argument('--no-error-correction', action='store_true',
                   help='Disable error correction')
parser.add_argument('--test', action='store_true',
                   help='Run with test file')
parser.add_argument('--quiet', action='store_true',
                   help='Suppress verbose output')

args = parser.parse_args()

# Create configuration
config = {
    'sector_size': args.sector_size,
    'compression': not args.no_compression,
    'encryption': not args.no_encryption,
    'error_correction': not args.no_error_correction,
    'network_nodes': args.nodes,
    'encryption_seed': args.seed,
    'verbose': not args.quiet
}

# Initialize system
pirap = PiRAPFileSystem(config)

# Test mode
if args.test:
    test_file = "test_image.jpg"
    create_test_file(test_file, size_kb=500)
    args.input = test_file
    if not args.output:
        args.output = "recovered_test.jpg"

# Process file
if args.input:
    success = pirap.process_file(
        input_path=args.input,
        output_path=args.output,
        simulate_loss=args.loss
    )
    sys.exit(0 if success else 1)
else:
    parser.print_help()
    sys.exit(1)

```

if **name** == “ **main** ”:  
main()

---

<div class="post-metadata">

**Author:** ![bacca400](https://avatars.discourse-cdn.com/v4/letter/b/ee59a6/32.png) [@bacca400](https://discuss.huggingface.co/u/bacca400)\
**Post date:** [April 13, 2026, 9:52am UTC](https://discuss.huggingface.co/t/can-any-run-see-if-this-pi-based-reconstruction-and-archival-protocol-works/175057/2 "2026-04-13T09:52:46Z")

</div>

You’ll get more help if you enclose your code in three backticks on a line by itself. Your code looks like Python, indentation is critical, and few have time to reindent your program on their PC to try and run it. The backtick on a US keyboard is in the upper left of the keyboard.

````auto

```
this is code
```

````

---

<div class="post-metadata">

**Author:** ![ebearden](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/ebearden/32/46689_2.png) [@ebearden](https://discuss.huggingface.co/u/ebearden)\
**Post date:** [April 16, 2026, 1:27pm UTC](https://discuss.huggingface.co/t/can-any-run-see-if-this-pi-based-reconstruction-and-archival-protocol-works/175057/3 "2026-04-16T13:27:04Z")

</div>

Wow thanks for the advice but I couldn’t get it to work!

So Chat Qwen Ai can you get it work The way I want it! Meta Ai has established a Link to HuggingFace burgi wasn’t sure could it link to my information?

So based on this can you Rewrite the HuggingFace link?

Visit

Visit [Hugging Face](https://huggingface.co) for AI models and tools.

document.getElementById(‘saveBtn’).addEventListener(‘click’, () =\> {  
const digits = document.getElementById(‘inputDigits’).value.trim();  
const archiveName = document.getElementById(‘archiveName’).value.trim();

if (!digits || !archiveName) {  
document.getElementById(‘output’).textContent = “Please enter both digits and archive name.”;  
return;  
}

localStorage.setItem(archiveName, digits);  
document.getElementById(‘output’).textContent =  
`Archive "${archiveName}" saved successfully.`;  
});

🥧 Pi Explorer :root { --bg: #0f172a; --card: #1e293b; --accent: #3b82f6; --muted: #94a3b8; } body { font-family: system-ui; background: var(--bg); color: white; padding: 2rem; } .container { max-width: 900px; margin: auto; } .card { background: var(--card); padding: 1.5rem; border-radius: 8px; margin-bottom: 1.5rem; } input, button { width: 100%; padding: 0.7rem; margin-bottom: 0.8rem; border-radius: 5px; border: none; } button { background: var(--accent); color: white; cursor: pointer; } .output { background: #0b1221; padding: 1rem; min-height: 80px; font-family: monospace; } a { color: #3b82f6; }

# 🥧 Pi Explorer

### 📦 Archive

Save  
Load

### ✅ Verify Sequence

Verify

### 🔍 Search Pi

Search

Visit [Hugging Face](https://huggingface.co)

\<scripty\>

[https://yourname.github.io/pi-explorer](https://yourname.github.io/pi-explorer)

🥧 Pi Search Engine :root { -- :root { --bg: #0f172a; --card: #1e293b; --accent: #3b82f6; --muted: #94a3b8; } body { font-family: system-ui; background: var(--bg); color: white; padding: 2rem; } .container { max-width: 900px; margin: auto; } .card { background: var(--card); padding: 1.5rem; border-radius: 10px; margin-bottom: 1.5rem; } input, button { width: 100%; padding: 0.7rem; margin-bottom: 0.8rem; border-radius: 6px; border: none; } button { background: var(--accent); color: white; cursor: pointer; } .output { background: #0b1221; padding: 1rem; min-height: 80px; font-family: monospace; white-space: pre-wrap; } .status { color: var(--muted); font-size: 0.9rem; } iv class="container"\>
# 🥧 Pi Search Engine

Loading Pi digits...

### 📦 Archive
Save Load

### 🔍 Search Pi
Search

### ✅ Verify
Verify

your-project.vercel.app

Good question — and I’m going to be straight with you so you don’t hit a wall:  
👉 I can’t create a real live GitHub or Hugging Face link for you (because that requires your account login),  
but I can give you working links + exact steps so you get a real site in minutes.

🌐 ✅ Working Hugging Face Link

Here’s a real one you can use right now:  
👉 [https://huggingface.co](https://huggingface.co)  
That’s the main platform for:

AI models

datasets

hosting “Spaces” (mini apps like yours)

🚀 Make YOUR Pi app live on Hugging Face (Best option)

Use:

Hugging Face

Steps:

Go to Hugging Face

Create a free account

Click “Spaces” → “Create new Space”

Choose:

SDK: Static (important)

Upload your index.html

👉 Your app becomes:  
[https://huggingface.co/spaces/YOUR\_USERNAME/pi-search](https://huggingface.co/spaces/YOUR_USERNAME/pi-search)  
✔ Works like a real website  
✔ Others can visit it  
✔ No coding backend needed

🐙 ✅ GitHub Link (How it works)

Main site:  
👉 [https://github.com](https://github.com)  
Use:

GitHub

🚀 Make YOUR Pi app live on GitHub Pages

Step-by-step:

Go to GitHub

Click New Repository

Name it: pi-search

Upload your file:

index.html

Then enable Pages:

Go to:  
Settings → Pages

Under “Source”:

Select main branch

Save

🎉 Your live link will be:

https://YOUR\_USERNAME.github.io/pi-search/  
That is a real working website

💡 Example (what it looks like)

If your username was:  
alex123  
Your site becomes:  
[https://alex123.github.io/pi-search/](https://alex123.github.io/pi-search/)

⚠ Important things to know

GitHub = best for code + control

Hugging Face = best for AI-style apps + easy sharing

👉 For YOU right now, I recommend:  
Start with Hugging Face Spaces (easier)

🔥 My honest recommendation

Do this in order:

Upload to Hugging Face → fastest win

Then mirror it on GitHub

Later deploy with Vercel if you want speed + polish

👍 If you want next

I can:

Walk you step-by-step while you create it

Help you name your project (branding)

Add a “cool feature” before you publish

Just say:  
👉 “Walk me through publishing it live”  
and I’ll guide you like we’re doing it together.

https://YOUR\_USERNAME.github.io/pi-search/

alex123

[https://alex123.github.io/pi-search/](https://alex123.github.io/pi-search/)

😊 Let’s simplify things. Here’s the updated code with a working Hugging Face link:

Visit [Hugging Face](https://huggingface.co) for AI models and tools.

If you want to make your Pi app live, I recommend using Hugging Face Spaces or GitHub Pages. Here’s a quick rundown:

- _Hugging Face Spaces_: Easy to set up, great for AI-focused apps.
- _GitHub Pages_: Simple to deploy, works well for static sites.

Would you like me to guide you through publishing your Pi app live? 🚀  
Do whatever you can and do it for HuggingFace access!

🚀 Let’s get your Pi app live on Hugging Face Spaces!

Here’s what you need to do:

1. _Create a Hugging Face account_: Go to [https://huggingface.co/](https://huggingface.co/) and sign up if you haven’t already.
2. _Create a new Space_: Click on “Spaces” → “Create new Space”.
3. _Choose settings_:
  - SDK: Static (for HTML/JS)
  - Space name: `pi-search` (or something unique)

4. _Upload your files_:
  - Create an `index.html` file with your Pi app code.
  - Upload it to your Space.

5. _Deploy_: Your app will be live at `https://huggingface.co/spaces/YOUR_USERNAME/pi-search`.

I’ll help you with the code and guide you through the process.

Here’s the updated code with some improvements:

 🥧 Pi Search Engine :root { --bg: #0f172a; --card: #1e293b; --accent: #3b82f6; --muted: #94a3b8; }

```auto
body {
  font-family: system-ui;
  background: var(--bg);
  color: white;
  padding: 2rem;
}

.container {
  max-width: 900px;
  margin: auto;
}

.card {
  background: var(--card);
  padding: 1.5rem;
  border-radius: 10px;
  margin-bottom: 11.5rem;
}

input, button {
  width: 100%;
  padding: 0.7rem;
  margin-bottom: 0.8rem;
  border-radius: 6px;
  border: none;
}

button {
  background: var(--accent);
  color: white;
  cursor: pointer;
}

.output {
  background: #0b1221;
  padding: 1rem;
  min-height: 80px;
  font-family: monospace;
  white-space: pre-wrap;
}

```

# 🥧 Pi Search Engine

### 📦 Archive
 Save Load 

### 🔍 Search Pi
 Search 

### ✅ Verify
 Verify 

Visit [Hugging Face](https://huggingface.co) for AI models and tools.

Ready to proceed? Should I:

1. Help you upload to Hugging Face?
2. Improve the Pi app code?
3. Something else?

Can you link The The HuggingFace Site to my specific topic? If so do it it had to do with CAN ANYONE RUN SEE IF THIS PI-BASED Reconstruction and Archival PROTOCOL WORKS?

🚀 Let’s get your Pi-based Reconstruction and Archival protocol live on Hugging Face!

Here’s the updated code with a link to your specific topic:

Visit [Hugging Face - Pi Reconstruction & Archival](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival) to test the protocol.

Replace `YOUR_USERNAME` with your actual Hugging Face username.

To make it live:

1. Create a new Space on Hugging Face.
2. Upload your `index.html` file with the Pi app code.
3. Share the link: `https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival`

Here’s the full code:

 🥧 Pi Reconstruction & Archival :root { --bg: #0f172a; --card: #1e293b; --accent: #3b82f6; --muted: #94a3b8; }

```auto
body {
  font-family: system-ui;
  background: var(--bg);
  color: white;
  padding: 2rem;
}

.container {
  max-width: 900px;
  margin: auto;
}

.card {
  background: var(--card);
  padding: 1.5rem;
  border-radius: 10px;
  margin-bottom: 1.5rem;
}

input, button {
  width: 100%;
  padding: 0.7rem;
  margin-bottom: 0.8rem;
  border-radius: 6px;
  border: none;
}

button {
  background: var(--accent);
  color: white;
  cursor: pointer;
}

.output {
  background: #0b1221;
  padding: 1rem;
  min-height: 80px;
  font-family: monospace;
  white-space: pre-wrap;
}

```

# 🥧 Pi Reconstruction & Archival

### 📦 Archive
 Save Load 

### 🔍 Search Pi
 Search 

### ✅ Verify
 Verify 

Visit [Hugging Face - Pi Reconstruction & Archival](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival) to test the protocol.

Ready to:

1. Upload to Hugging Face?
2. Test the protocol?
3. Improve the code?

# 🥧 Pi-Based Reconstruction & Archival Protocol — Hugging Face Setup

Yes! **Hugging Face can absolutely host your Pi protocol app** and link directly to your project. Here’s exactly how to do it:

* * *

## 🔗 Your Custom Hugging Face Link (Template)

```html
<div class="card">
  <p>
    Visit 
    <a href="https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival" target="_blank">
      🥧 Pi Reconstruction & Archival Protocol
    </a> 
    to test the protocol live.
  </p>
</div>

```

🔁 **Replace `YOUR_USERNAME` with your actual Hugging Face username** after you create your account.

✅ Once deployed, your live link will be:

```auto
https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival

```

* * *

## 🚀 Step-by-Step: Deploy Your Pi App to Hugging Face Spaces

### 1️⃣ Create Your Hugging Face Account

- Go to: [https://huggingface.co](https://huggingface.co)
- Click **Sign Up** → create a free account

### 2️⃣ Create a New “Space”

- Click **Spaces** → **Create new Space** [[1]]
- Fill in:
  - **Space name** : `pi-reconstruction-archival`
  - **SDK** : `Static` ⚠ (critical for HTML/JS apps) [[7]]
  - **License** : `MIT` (or your preference)

### 3️⃣ Upload Your App Files

Once your Space is created:

1. Click **Files** → **Add file** → **Upload files**
2. Upload your `index.html` (with your Pi Explorer code)
3. _(Optional)_ Add a `README.md` to describe your protocol

### 4️⃣ Configure README.md (Important!)

At the **top** of your `README.md`, add this YAML block [[7]]:

```yaml
---
title: 🥧 Pi Reconstruction & Archival
emoji: 🥧
colorFrom: blue
colorTo: indigo
sdk: static
app_file: index.html
pinned: false
---

```

### 5️⃣ Deploy & Share

- Hugging Face auto-deploys when files are uploaded ✅

- Your app goes live at:

- Share this link anywhere — it’s a real, public website!

* * *

## 🔐 Can Hugging Face “Link to Your Information”?

✅ **Yes — but with important context** :

| Feature | What It Means |
| --- | --- |
| **Public Spaces** | Anyone can visit your app link; code is visible unless you make the Space private (Pro feature) [[13]] |
| **localStorage** | Your app’s `localStorage` data stays in the _user’s browser_ — Hugging Face doesn’t collect it [[19]] |
| **Custom Domains** | Pro/Team users can connect `yourdomain.com` to your Space [[10]][[11]] |
| **OAuth/Variables** | You can pass secure env vars via `window.huggingface.variables` if needed [[7]] |

⚠ **Note** : Static Spaces run entirely in the browser. No backend = no server-side data collection by Hugging Face.

* * *

## 🛠 Quick Fix: Your Updated HTML Snippet

Here’s your LINK card, ready to paste:

```html
<!-- LINK CARD -->
<div class="card">
  <h3>🌐 Live Protocol</h3>
  <p>
    Test the Pi-based Reconstruction & Archival protocol live:
    <br>
    <a href="https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival" 
       target="_blank" 
       style="color:#60a5fa;font-weight:600">
      🥧 huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival
    </a>
  </p>
  <p class="status" style="color:var(--muted);font-size:0.85rem">
    🔒 All data stays in your browser. No server storage.
  </p>
</div>

```

* * *

## ✅ Next Steps — Pick One:

🔹 **“Walk me through publishing”** → I’ll guide you click-by-click  
🔹 **“Help me name my project”** → Let’s brand your Pi protocol  
🔹 **“Add a feature first”** → Want digit export, shareable links, or verification badges?  
🔹 **“Just give me the full deploy-ready code”** → I’ll package your complete `index.html`

👉 Reply with what you’d like to do next, and I’ll make it happen. Let’s get your Pi protocol live! 🚀

Visit [🥧 Pi Reconstruction & Archival Protocol](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival) to test the protocol live.

[https://huggingface.co/spaces/YOUR\_USERNAME/pi-reconstruction-archival](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival)

[https://huggingface.co/spaces/YOUR\_USERNAME/pi-reconstruction-archival](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival)

### 🌐 Live Protocol

Test the Pi-based Reconstruction & Archival protocol live:   
[🥧 huggingface.co/spaces/YOUR\_USERNAME/pi-reconstruction-archival](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival)

🔒 All data stays in your browser. No server storage.

* * *

## title: 🥧 Pi Reconstruction & Archival

emoji: 🥧  
colorFrom: blue  
colorTo: indigo  
sdk: static  
app\_file: index.html  
pinned: false

Not sure Meta Ai what can you do?odd in Readme by Meta Ai? I chess board!

🚀 Let’s get your Pi-based Reconstruction & Archival protocol live on Hugging Face!

Here’s the updated HTML snippet with the link:

### 🌐 Live Protocol

Test the Pi-based Reconstruction & Archival protocol live:   
 🔒 All data stays in your browser. No server storage.

 
 

Replace `YOUR_USERNAME` with your actual Hugging Face username.

 

To deploy:

 
1. Create a Hugging Face account
2. Create a new Space with Static SDK
3. Upload your `index.html` file
4. Add the YAML block to your `README.md`:

 
* * *
 
## title: 🥧 Pi Reconstruction & Archival

emoji: 🥧  
colorFrom: blue  
colorTo: indigo  
sdk: static  
app\_file: index.html  
pinned: false

Your live link will be: `https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival`

Ready to:

1. Walk you through publishing?
2. Help with project branding?
3. Add a feature to your Pi protocol?
4. Get the full deploy-ready code?

So would you at least be able to get me the HuggingFace Link again?

Here’s the Hugging Face link template again:  
[🥧 Pi Reconstruction & Archival Protocol](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival)

Replace `YOUR_USERNAME` with your actual Hugging Face username.

Once you create your Space, the live link will be:  
[https://huggingface.co/spaces/YOUR\_USERNAME/pi-reconstruction-archival](https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival)

Want me to help you create your Hugging Face account or upload your files? 😊

Yeah if you can!

🚀 Let’s get you set up on Hugging Face!

Here’s a step-by-step guide:

1. Go to [https://huggingface.co/](https://huggingface.co/)
2. Click “Sign Up” and create an account
3. Verify your email
4. Click “Spaces” → “Create new Space”
5. Fill in:

- Space name: `pi-reconstruction-archival`
- SDK: `Static`
- License: `MIT` (or your preference)

Need help with any of these steps? 😊

Once you’re in your Space:

1. Upload your `index.html` file
2. Add a `README.md` with the YAML block:

* * *

## title: 🥧 Pi Reconstruction & Archival

emoji: 🥧  
colorFrom: blue  
colorTo: indigo  
sdk: static  
app\_file: index.html  
pinned: false

Your live link will be: `https://huggingface.co/spaces/YOUR_USERNAME/pi-reconstruction-archival`

Want me to:

1. Guide you through uploading files?
2. Help with the `README.md`?
3. Provide the full `index.html` code?
4. Something else?