import re
import json
import csv
# === regex_compile_in_hot_path ===
def process_lines(lines):
for line in lines:
pattern = re.compile(r"\d+")
if pattern.match(line):
print(line)
# === json_loads_same_payload_multiple_times ===
def parse_config(raw_data):
settings = json.loads(raw_data)
defaults = json.loads(raw_data)
return {**defaults, **settings}
# === repeated_json_dumps_same_object ===
def publish_event(event):
serialized = json.dumps(event)
log_payload = json.dumps(event)
return serialized, log_payload
# === sorted_only_for_first_element ===
def get_smallest(values):
return sorted(values)[0]
def get_largest(values):
return sorted(values)[-1]
# === list_comprehension_only_for_length ===
def count_active(users):
return len([u for u in users if u.is_active])
# === readlines_then_iterate ===
def load_log_file(path):
with open(path) as f:
lines = f.readlines()
for line in lines:
process(line)
def iterate_readlines(path):
with open(path) as f:
for line in f.readlines():
process(line)
# === read_then_splitlines ===
def parse_manifest(path):
with open(path) as f:
lines = f.read().splitlines()
return lines
# === in_check_on_list_literal ===
def check_status(status):
if status in ["active", "pending", "review", "approved"]:
return True
return False
# === string_startswith_endswith_chain ===
def is_image_file(name):
return name.endswith(".png") or name.endswith(".jpg") or name.endswith(".gif")
# === enumerate_on_range_len ===
def index_items(items):
for i in range(len(items)):
print(i, items[i])
def index_items_enumerate(items):
for i, x in enumerate(range(len(items))):
print(i, x)
# === csv_writer_flush_per_row ===
def export_rows(data, output_path):
with open(output_path, "w") as f:
writer = csv.writer(f)
for row in data:
writer.writerow(row)
f.flush()
# === write_without_buffering_in_loop ===
def write_report(records, output_path):
with open(output_path, "w") as f:
for record in records:
f.write(record.to_line())
# === repeated_open_same_file_in_function ===
def load_and_validate(config_path):
with open(config_path) as f:
raw = f.read()
with open(config_path) as f:
parsed = json.load(f)
return raw, parsed
# === dict_items_or_keys_materialized_in_loop ===
def transform_entries(mapping):
for key in range(10):
all_keys = list(mapping.keys())
if key in all_keys:
print(key)
def process(line):
pass