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Python Code Samples

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28 matches
System design patterns easy

How to Aggregate Mock API Routes by Method in Python

Groups mock API routes by path and method, collecting response bodies and counts into a nested dictionary structure.

defaultdict api-gateway aggregation
Python
from collections import defaultdict


def aggregate_mock_routes(routes):
    """Aggregate mock API routes by method and aggregate their response bodies."""
    aggregated = defaultdict(lambda: defaultdict(list))

    for route in routes:
        method = route["method"]
        path = route["path"]
        response = …
13 0 Open
API design & gRPC easy

How to Implement a PATCH Partial Update Merge Dict in Python

Implements a recursive merge function that applies HTTP PATCH-like partial updates to a nested dictionary while preserving untouched fields.

http rest dict-merge
Python
import json

def patch_merge(target: dict, patch: dict) -> dict:
    """Simulate HTTP PATCH semantic: shallow-merge patch into a copy of target."""
    merged = target.copy()
    for key, value in patch.items():
        if isinstance(value, dict) and isinstance(merged.get(key), dict):
            merged[key] = patch_m…
13 0 Open
Observability & SRE easy

How to Link Parent and Child Span Elements in Python

This code defines a lightweight mock element class and a function that links child elements to a parent when their ranges are nested within the parent's range.

spans nesting mock
Python
class MockElement:
    def __init__(self, name, start, end, children=None):
        self.name = name
        self.start = start
        self.end = end
        self.children = children or []

    def __repr__(self):
        return f"MockElement({self.name}, {self.start}-{self.end})"


def link_parent_child(parent, chil…
14 0 Open
ML engineering pipelines easy

How to Compute a Confusion Matrix in Python

Compute a multi-class confusion matrix from true and predicted labels using pure Python dictionaries and nested lists, then format it for readable output.

confusion-matrix classification ml-metrics
Python
from collections import defaultdict

def compute_confusion_matrix(y_true, y_pred, labels):
    """Compute confusion matrix using Python dicts and nested lists."""
    label_index = {label: i for i, label in enumerate(labels)}
    matrix = [[0] * len(labels) for _ in range(len(labels))]
    
    for true, pred in zip(y…
14 0 Open

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