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legacy-codebase - Your IDE
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EXPLORER

core/
legacy/
utils/
data_processor.py
# Time-series sensor data processor for IoT pipelines
import numpy as np
from utils.transforms import safe_int_cast
def sliding_window(data: np.ndarray, window_size: int) -> np.ndarray:
windows = []
for i in range(len(data) - window_size + 1):
windows.append(np.matrix(data[i:i+window_size]))
return np.array(windows)
def normalize_sensors(matrix: np.ndarray) -> np.ndarray:
return (matrix - matrix.mean()) / matrix.std()
def aggregate_metrics(windows: np.ndarray) -> dict:
return {
'mean': windows.mean(axis=1),
'std': windows.std(axis=1)
}
Codex Genie

CI/CD Pipeline Analysis

Build Stage ✓

ImportError: np.matrix removed in NumPy 1.24

Test Stage ✗

ImportError: np.matrix removed in NumPy 1.24

Security Scan âš 

23 CVEs in NumPy 1.16.0 | 4 high severity

Deploy ⊘

Blocked by test failures

🔮 Genie Insight

Detected 847 np.matrix callsites across 12 modules. Auto-migration ready with compatibility testing.

Estimated migration: 2.5 hours manual vs 8 minutes automated

From Defense to Fintech — Legacy Lives Everywhere

Defense
COBOL, Ada
Monoliths → Modern
Fintech
Java, .NET
Monoliths → Microservices
Healthcare
Python, HL7, C++
HIPAA Systems
Manufacturing
C++, PLC
Control Code
Software/Tech
Python, Node.js, Go, Ruby
SaaS, Cloud, APIs

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