Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write is_leap(year: int) -> bool to return whether year is a leap year in the Gregorian calendar.
def is_leap(year: int) -> bool:
return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write is_leap(year: int) -> bool to return whether year is a leap year in the Gregorian calendar.
def is_leap(year: int) -> bool:
return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write is_leap(year: int) -> bool to return whether year is a leap year in the Gregorian calendar.
def is_leap(year: int) -> bool:
return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write rle(s: str) -> str to perform run-length encoding on s. Replace each run of consecutive identical characters with that character followed by the run length. rle("aaabcc") returns "a3b1c2" and rle("") returns "".
from itertools import groupby
def rle(s: str) -> str:
return "".join(f"{char}{len(list(group))}" for char, group in groupby(s))
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write rle(s: str) -> str to perform run-length encoding on s. Replace each run of consecutive identical characters with that character followed by the run length. rle("aaabcc") returns "a3b1c2" and rle("") returns "".
from itertools import groupby
def rle(s: str) -> str:
return "".join(char + str(len(list(group))) for char, group in groupby(s))
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write rle(s: str) -> str to perform run-length encoding on s. Replace each run of consecutive identical characters with that character followed by the run length. rle("aaabcc") returns "a3b1c2" and rle("") returns "".
from itertools import groupby
def rle(s: str) -> str:
return "".join(ch + str(len(list(group))) for ch, group in groupby(s))
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write chunks(items, n: int) -> list[list]. items is an iterable, which may be a generator. Return consecutive lists of n elements, where the last list may be shorter. Raise ValueError when n is less than 1.
def chunks(items, n: int) -> list[list]:
if n < 1:
raise ValueError("n must be greater than or equal to 1")
result = []
current = []
for item in items:
current.append(item)
if len(current) == n:
result.append(current)
current = []
if current:
result.append(current)
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write chunks(items, n: int) -> list[list]. items is an iterable, which may be a generator. Return consecutive lists of n elements, where the last list may be shorter. Raise ValueError when n is less than 1.
from itertools import islice
def chunks(items, n: int) -> list[list]:
if n < 1:
raise ValueError("n must be at least 1")
iterator = iter(items)
return [list(islice(iterator, n)) for _ in iter(int, 1) if _]
Wait, that list comprehension with iter(int, 1) is weird and would never terminate properly. Let me write it correctly.
from itertools import islice
def chunks(items, n: int) -> list[list]:
if n < 1:
raise ValueError("n must be at least 1")
iterator = iter(items)
result = []
while True:
chunk = list(islice(iterator, n))
if not chunk:
break
result.append(chunk)
return result
</think>
from itertools import islice
def chunks(items, n: int) -> list[list]:
if n < 1:
raise ValueError("n must be at least 1")
iterator = iter(items)
result: list[list] = []
while True:
chunk = list(islice(iterator, n))
if not chunk:
break
result.append(chunk)
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write chunks(items, n: int) -> list[list]. items is an iterable, which may be a generator. Return consecutive lists of n elements, where the last list may be shorter. Raise ValueError when n is less than 1.
def chunks(items, n: int) -> list[list]:
if n < 1:
raise ValueError("n must be at least 1")
result = []
buffer = []
for item in items:
buffer.append(item)
if len(buffer) == n:
result.append(buffer)
buffer = []
if buffer:
result.append(buffer)
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write round_half_up(value: str, digits: int) -> str. The string value represents a decimal number. Round it to digits decimal places, rounding exact ties away from zero based on the exact value written in value. Return a string with exactly digits decimal places, and omit the decimal point when digits is 0. round_half_up("2.675", 2) returns "2.68".
from decimal import Decimal, ROUND_HALF_UP, localcontext
def round_half_up(value: str, digits: int) -> str:
with localcontext() as ctx:
ctx.prec = max(28, len(value) + abs(digits) + 10)
d = Decimal(value)
quant = Decimal(1).scaleb(-digits)
rounded = d.quantize(quant, rounding=ROUND_HALF_UP)
return f"{rounded:.{digits}f}"
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write round_half_up(value: str, digits: int) -> str. The string value represents a decimal number. Round it to digits decimal places, rounding exact ties away from zero based on the exact value written in value. Return a string with exactly digits decimal places, and omit the decimal point when digits is 0. round_half_up("2.675", 2) returns "2.68".
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write round_half_up(value: str, digits: int) -> str. The string value represents a decimal number. Round it to digits decimal places, rounding exact ties away from zero based on the exact value written in value. Return a string with exactly digits decimal places, and omit the decimal point when digits is 0. round_half_up("2.675", 2) returns "2.68".
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write parse_kv(line: str) -> dict[str, str]. The string line contains key=value pairs separated by one or more spaces. A value may be enclosed in double quotes; if so, it may contain spaces and =, and the quotes are not included in the parsed value. A value may be empty, as in c=. If a key repeats, use the last value. Return {} for an empty line.
def parse_kv(line: str) -> dict[str, str]:
result: dict[str, str] = {}
i = 0
n = len(line)
while i < n:
while i < n and line[i].isspace():
i += 1
if i >= n:
break
start = i
while i < n and line[i] != '=' and not line[i].isspace():
i += 1
if i >= n or line[i] != '=':
while i < n and not line[i].isspace():
i += 1
continue
key = line[start:i]
i += 1
if i < n and line[i] == '"':
i += 1
start = i
while i < n and line[i] != '"':
i += 1
value = line[start:i]
if i < n:
i += 1
else:
start = i
while i < n and not line[i].isspace():
i += 1
value = line[start:i]
result[key] = value
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write parse_kv(line: str) -> dict[str, str]. The string line contains key=value pairs separated by one or more spaces. A value may be enclosed in double quotes; if so, it may contain spaces and =, and the quotes are not included in the parsed value. A value may be empty, as in c=. If a key repeats, use the last value. Return {} for an empty line.
def parse_kv(line: str) -> dict[str, str]:
result: dict[str, str] = {}
i = 0
n = len(line)
while i < n:
while i < n and line[i].isspace():
i += 1
if i >= n:
break
key_start = i
while i < n and line[i] != '=':
i += 1
if i >= n:
break
key = line[key_start:i]
i += 1
if i < n and line[i] == '"':
i += 1
value_start = i
while i < n and line[i] != '"':
i += 1
value = line[value_start:i]
if i < n:
i += 1
else:
value_start = i
while i < n and not line[i].isspace():
i += 1
value = line[value_start:i]
result[key] = value
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write parse_kv(line: str) -> dict[str, str]. The string line contains key=value pairs separated by one or more spaces. A value may be enclosed in double quotes; if so, it may contain spaces and =, and the quotes are not included in the parsed value. A value may be empty, as in c=. If a key repeats, use the last value. Return {} for an empty line.
def parse_kv(line: str) -> dict[str, str]:
result: dict[str, str] = {}
i = 0
n = len(line)
while i < n:
while i < n and line[i].isspace():
i += 1
if i >= n:
break
start = i
while i < n and line[i] != '=' and not line[i].isspace():
i += 1
if i >= n or line[i] != '=':
break
key = line[start:i]
i += 1
if i < n and line[i] == '"':
i += 1
chars = []
while i < n:
if line[i] == '\\' and i + 1 < n and line[i + 1] == '"':
chars.append('"')
i += 2
elif line[i] == '"':
i += 1
break
else:
chars.append(line[i])
i += 1
value = ''.join(chars)
else:
start_val = i
while i < n and not line[i].isspace():
i += 1
value = line[start_val:i]
result[key] = value
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write merge_intervals(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]. The input intervals may be in any order. Merge intervals that overlap or touch, so (1, 2) and (2, 3) become (1, 3). Return the merged intervals as tuples sorted by start, and leave the input list unchanged.
def merge_intervals(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]:
if not intervals:
return []
ordered = sorted(intervals, key=lambda pair: pair[0])
merged = [list(ordered[0])]
for start, end in ordered[1:]:
if start <= merged[-1][1]:
if end > merged[-1][1]:
merged[-1][1] = end
else:
merged.append([start, end])
return [tuple(pair) for pair in merged]
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write merge_intervals(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]. The input intervals may be in any order. Merge intervals that overlap or touch, so (1, 2) and (2, 3) become (1, 3). Return the merged intervals as tuples sorted by start, and leave the input list unchanged.
def merge_intervals(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]:
if not intervals:
return []
ordered = sorted(intervals)
merged = [ordered[0]]
for start, end in ordered[1:]:
last_start, last_end = merged[-1]
if start <= last_end:
if end > last_end:
merged[-1] = (last_start, end)
else:
merged.append((start, end))
return merged
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write merge_intervals(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]. The input intervals may be in any order. Merge intervals that overlap or touch, so (1, 2) and (2, 3) become (1, 3). Return the merged intervals as tuples sorted by start, and leave the input list unchanged.
def merge_intervals(intervals: list[tuple[int, int]]) -> list[tuple[int, int]]:
if not intervals:
return []
ordered = sorted(intervals)
merged: list[tuple[int, int]] = [ordered[0]]
for start, end in ordered[1:]:
last_start, last_end = merged[-1]
if start <= last_end:
if end > last_end:
merged[-1] = (last_start, end)
else:
merged.append((start, end))
return merged
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write add_months(d: datetime.date, months: int) -> datetime.date to add months calendar months to d. months may be negative. If the day does not exist in the target month, use the last day of that month.
import calendar
import datetime
def add_months(d: datetime.date, months: int) -> datetime.date:
total = d.month - 1 + months
year = d.year + total // 12
month = total % 12 + 1
last_day = calendar.monthrange(year, month)[1]
return datetime.date(year, month, min(d.day, last_day))
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write add_months(d: datetime.date, months: int) -> datetime.date to add months calendar months to d. months may be negative. If the day does not exist in the target month, use the last day of that month.
import calendar
import datetime
def add_months(d: datetime.date, months: int) -> datetime.date:
total = d.year * 12 + (d.month - 1) + months
year, month_index = divmod(total, 12)
month = month_index + 1
last_day = calendar.monthrange(year, month)[1]
return datetime.date(year, month, min(d.day, last_day))
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write add_months(d: datetime.date, months: int) -> datetime.date to add months calendar months to d. months may be negative. If the day does not exist in the target month, use the last day of that month.
import calendar
import datetime
def add_months(d: datetime.date, months: int) -> datetime.date:
total = d.month - 1 + months
year = d.year + total // 12
month = total % 12 + 1
day = min(d.day, calendar.monthrange(year, month)[1])
return datetime.date(year, month, day)
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write top_k_words(text: str, k: int) -> list[tuple[str, int]]. A word is a maximal sequence of ASCII letters and apostrophes. Words compare case-insensitively and are returned in lowercase. Return the k most frequent words as (word, count) tuples, sorted by highest count first, breaking ties alphabetically by word.
import re
from collections import Counter
def top_k_words(text: str, k: int) -> list[tuple[str, int]]:
if k <= 0:
return []
words = [word.lower() for word in re.findall(r"[A-Za-z']+", text)]
counts = Counter(words)
return sorted(counts.items(), key=lambda item: (-item[1], item[0]))[:k]
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write top_k_words(text: str, k: int) -> list[tuple[str, int]]. A word is a maximal sequence of ASCII letters and apostrophes. Words compare case-insensitively and are returned in lowercase. Return the k most frequent words as (word, count) tuples, sorted by highest count first, breaking ties alphabetically by word.
import re
from collections import Counter
def top_k_words(text: str, k: int) -> list[tuple[str, int]]:
if k <= 0:
return []
words = re.findall(r"[A-Za-z']+", text.lower())
counts = Counter(words)
return sorted(counts.items(), key=lambda item: (-item[1], item[0]))[:k]
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write top_k_words(text: str, k: int) -> list[tuple[str, int]]. A word is a maximal sequence of ASCII letters and apostrophes. Words compare case-insensitively and are returned in lowercase. Return the k most frequent words as (word, count) tuples, sorted by highest count first, breaking ties alphabetically by word.
import re
from collections import Counter
def top_k_words(text: str, k: int) -> list[tuple[str, int]]:
if k <= 0:
return []
words = [word.lower() for word in re.findall(r"[A-Za-z']+", text)]
counts = Counter(words)
ordered = sorted(counts.items(), key=lambda item: (-item[1], item[0]))
return ordered[:k]
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write flatten(obj: dict, sep: str = ".") -> dict. Flatten nested dicts and lists into a single level, joining keys with sep and using list indices as keys. Keep an empty dict or empty list as the value at its key. flatten({"a": {"b": 1}, "c": [{"d": 2}, 3], "e": {}}) returns {"a.b": 1, "c.0.d": 2, "c.1": 3, "e": {}}.
def flatten(obj: dict, sep: str = ".") -> dict:
result: dict = {}
def rec(value, prefix: str) -> None:
if isinstance(value, dict):
if not value:
if prefix:
result[prefix] = {}
return
for k, v in value.items():
rec(v, f"{prefix}{sep}{k}" if prefix else str(k))
elif isinstance(value, list):
if not value:
if prefix:
result[prefix] = []
return
for i, v in enumerate(value):
rec(v, f"{prefix}{sep}{i}" if prefix else str(i))
else:
result[prefix] = value
for k, v in obj.items():
rec(v, str(k))
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write flatten(obj: dict, sep: str = ".") -> dict. Flatten nested dicts and lists into a single level, joining keys with sep and using list indices as keys. Keep an empty dict or empty list as the value at its key. flatten({"a": {"b": 1}, "c": [{"d": 2}, 3], "e": {}}) returns {"a.b": 1, "c.0.d": 2, "c.1": 3, "e": {}}.
def flatten(obj: dict, sep: str = ".") -> dict:
result = {}
def walk(parts, value):
if isinstance(value, dict):
for key, item in value.items():
path = parts + [str(key)]
if isinstance(item, dict):
if item:
walk(path, item)
else:
result[sep.join(path)] = {}
elif isinstance(item, list):
if item:
walk(path, item)
else:
result[sep.join(path)] = []
else:
result[sep.join(path)] = item
elif isinstance(value, list):
for index, item in enumerate(value):
path = parts + [str(index)]
if isinstance(item, dict):
if item:
walk(path, item)
else:
result[sep.join(path)] = {}
elif isinstance(item, list):
if item:
walk(path, item)
else:
result[sep.join(path)] = []
else:
result[sep.join(path)] = item
walk([], obj)
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write flatten(obj: dict, sep: str = ".") -> dict. Flatten nested dicts and lists into a single level, joining keys with sep and using list indices as keys. Keep an empty dict or empty list as the value at its key. flatten({"a": {"b": 1}, "c": [{"d": 2}, 3], "e": {}}) returns {"a.b": 1, "c.0.d": 2, "c.1": 3, "e": {}}.
def flatten(obj: dict, sep: str = ".") -> dict:
result = {}
def walk(value, path):
if isinstance(value, dict):
if not value:
result[path] = value
else:
for key, nested in value.items():
new_path = f"{path}{sep}{key}" if path else str(key)
walk(nested, new_path)
elif isinstance(value, list):
if not value:
result[path] = value
else:
for index, nested in enumerate(value):
new_path = f"{path}{sep}{index}" if path else str(index)
walk(nested, new_path)
else:
result[path] = value
for key, value in obj.items():
walk(value, str(key))
return result
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write lru(maxsize: int), a decorator factory that caches a function's results by its positional arguments without using functools.lru_cache or functools.cache. It stores at most maxsize results. When the cache is full, evict the least recently used result. A cache hit counts as a use. The decorated function must preserve its original __name__.
from collections import OrderedDict
def lru(maxsize: int):
def decorator(func):
if maxsize <= 0:
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
wrapper.__name__ = func.__name__
return wrapper
cache = OrderedDict()
def wrapper(*args, **kwargs):
key = (args, tuple(sorted(kwargs.items())))
if key in cache:
value = cache.pop(key)
cache[key] = value
return value
value = func(*args, **kwargs)
cache[key] = value
if len(cache) > maxsize:
cache.popitem(last=False)
return value
wrapper.__name__ = func.__name__
return wrapper
return decorator
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write lru(maxsize: int), a decorator factory that caches a function's results by its positional arguments without using functools.lru_cache or functools.cache. It stores at most maxsize results. When the cache is full, evict the least recently used result. A cache hit counts as a use. The decorated function must preserve its original __name__.
from collections import OrderedDict
def lru(maxsize: int):
def decorator(func):
cache = OrderedDict()
def wrapper(*args, **kwargs):
key = (args, frozenset(kwargs.items()))
if key in cache:
cache.move_to_end(key)
return cache[key]
result = func(*args, **kwargs)
if maxsize > 0:
cache[key] = result
if len(cache) > maxsize:
cache.popitem(last=False)
return result
wrapper.__name__ = func.__name__
wrapper.__doc__ = func.__doc__
wrapper.__module__ = func.__module__
wrapper.__qualname__ = func.__qualname__
wrapper.__dict__.update(func.__dict__)
return wrapper
return decorator
Write Python 3.13 code. Answer with one ```python code block that defines the function described below. Use only the standard library. Do not include explanations, examples, tests, input() calls, or print() calls.
Write lru(maxsize: int), a decorator factory that caches a function's results by its positional arguments without using functools.lru_cache or functools.cache. It stores at most maxsize results. When the cache is full, evict the least recently used result. A cache hit counts as a use. The decorated function must preserve its original __name__.
from collections import OrderedDict
from functools import wraps
def lru(maxsize: int):
def decorator(func):
cache = OrderedDict()
@wraps(func)
def wrapper(*args, **kwargs):
if maxsize <= 0:
return func(*args, **kwargs)
if kwargs:
key = (args, tuple(sorted(kwargs.items())))
else:
key = args
if key in cache:
cache.move_to_end(key)
return cache[key]
result = func(*args, **kwargs)
cache[key] = result
if len(cache) > maxsize:
cache.popitem(last=False)
return result
return wrapper
return decorator