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# Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
# For details: https://github.com/nedbat/coveragepy/blob/master/NOTICE.txt
"""
Functions to manipulate packed binary representations of number sets.
To save space, coverage stores sets of line numbers in SQLite using a packed
binary representation called a numbits. A numbits is a set of positive
integers.
A numbits is stored as a blob in the database. The exact meaning of the bytes
in the blobs should be considered an implementation detail that might change in
the future. Use these functions to work with those binary blobs of data.
"""
from __future__ import annotations
import json
import sqlite3
from itertools import zip_longest
from typing import Iterable, List
def nums_to_numbits(nums: Iterable[int]) -> bytes:
"""Convert `nums` into a numbits.
Arguments:
nums: a reusable iterable of integers, the line numbers to store.
Returns:
A binary blob.
"""
try:
nbytes = max(nums) // 8 + 1
except ValueError:
# nums was empty.
return b""
b = bytearray(nbytes)
for num in nums:
b[num//8] |= 1 << num % 8
return bytes(b)
def numbits_to_nums(numbits: bytes) -> List[int]:
"""Convert a numbits into a list of numbers.
Arguments:
numbits: a binary blob, the packed number set.
Returns:
A list of ints.
When registered as a SQLite function by :func:`register_sqlite_functions`,
this returns a string, a JSON-encoded list of ints.
"""
nums = []
for byte_i, byte in enumerate(numbits):
for bit_i in range(8):
if (byte & (1 << bit_i)):
nums.append(byte_i * 8 + bit_i)
return nums
def numbits_union(numbits1: bytes, numbits2: bytes) -> bytes:
"""Compute the union of two numbits.
Returns:
A new numbits, the union of `numbits1` and `numbits2`.
"""
byte_pairs = zip_longest(numbits1, numbits2, fillvalue=0)
return bytes(b1 | b2 for b1, b2 in byte_pairs)
def numbits_intersection(numbits1: bytes, numbits2: bytes) -> bytes:
"""Compute the intersection of two numbits.
Returns:
A new numbits, the intersection `numbits1` and `numbits2`.
"""
byte_pairs = zip_longest(numbits1, numbits2, fillvalue=0)
intersection_bytes = bytes(b1 & b2 for b1, b2 in byte_pairs)
return intersection_bytes.rstrip(b"\0")
def numbits_any_intersection(numbits1: bytes, numbits2: bytes) -> bool:
"""Is there any number that appears in both numbits?
Determine whether two number sets have a non-empty intersection. This is
faster than computing the intersection.
Returns:
A bool, True if there is any number in both `numbits1` and `numbits2`.
"""
byte_pairs = zip_longest(numbits1, numbits2, fillvalue=0)
return any(b1 & b2 for b1, b2 in byte_pairs)
def num_in_numbits(num: int, numbits: bytes) -> bool:
"""Does the integer `num` appear in `numbits`?
Returns:
A bool, True if `num` is a member of `numbits`.
"""
nbyte, nbit = divmod(num, 8)
if nbyte >= len(numbits):
return False
return bool(numbits[nbyte] & (1 << nbit))
def register_sqlite_functions(connection: sqlite3.Connection) -> None:
"""
Define numbits functions in a SQLite connection.
This defines these functions for use in SQLite statements:
* :func:`numbits_union`
* :func:`numbits_intersection`
* :func:`numbits_any_intersection`
* :func:`num_in_numbits`
* :func:`numbits_to_nums`
`connection` is a :class:`sqlite3.Connection <python:sqlite3.Connection>`
object. After creating the connection, pass it to this function to
register the numbits functions. Then you can use numbits functions in your
queries::
import sqlite3
from coverage.numbits import register_sqlite_functions
conn = sqlite3.connect("example.db")
register_sqlite_functions(conn)
c = conn.cursor()
# Kind of a nonsense query:
# Find all the files and contexts that executed line 47 in any file:
c.execute(
"select file_id, context_id from line_bits where num_in_numbits(?, numbits)",
(47,)
)
"""
connection.create_function("numbits_union", 2, numbits_union)
connection.create_function("numbits_intersection", 2, numbits_intersection)
connection.create_function("numbits_any_intersection", 2, numbits_any_intersection)
connection.create_function("num_in_numbits", 2, num_in_numbits)
connection.create_function("numbits_to_nums", 1, lambda b: json.dumps(numbits_to_nums(b)))
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