import re
import json
import csv


# Clean code: regex compiled once at module level
PATTERN = re.compile(r"\d+")


def process_lines(lines):
    for line in lines:
        if PATTERN.match(line):
            print(line)


# Clean code: json.loads called once, result reused
def parse_config(raw_data):
    settings = json.loads(raw_data)
    return {**settings}


# Clean code: json.dumps called once, result reused
def publish_event(event):
    serialized = json.dumps(event)
    return serialized, serialized


# Clean code: use min() / max() instead of sorted()[0]
def get_smallest(values):
    return min(values)


def get_largest(values):
    return max(values)


# Clean code: use sum() with generator expression
def count_active(users):
    return sum(1 for u in users if u.is_active)


# Clean code: iterate file directly
def load_log_file(path):
    with open(path) as f:
        for line in f:
            process(line)


# Clean code: iterate file directly for lines
def parse_manifest(path):
    with open(path) as f:
        return list(f)


# Clean code: use a set or tuple for membership checks
VALID_STATUSES = {"active", "pending", "review", "approved"}

def check_status(status):
    if status in VALID_STATUSES:
        return True
    return False


# Clean code: use tuple argument to startswith/endswith
def is_image_file(name):
    return name.endswith((".png", ".jpg", ".gif"))


# Clean code: use enumerate directly
def index_items(items):
    for i, item in enumerate(items):
        print(i, item)


# Clean code: no flush per row, let OS handle buffering
def export_rows(data, output_path):
    with open(output_path, "w") as f:
        writer = csv.writer(f)
        for row in data:
            writer.writerow(row)


# Clean code: use buffered writes (e.g. writelines or io.BufferedWriter)
def write_report(records, output_path):
    with open(output_path, "w") as f:
        f.writelines(record.to_line() + "\n" for record in records)


# Clean code: open file once
def load_and_validate(config_path):
    with open(config_path) as f:
        raw = f.read()
    parsed = json.loads(raw)
    return raw, parsed


# Clean code: access dict methods outside the loop
def transform_entries(mapping):
    key_set = set(mapping.keys())
    for key in range(10):
        if key in key_set:
            print(key)


def process(line):
    pass
