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Files and Folders in: //opt/cloudlinux/venv/lib64/python3.11/site-packages/coverage//

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__pycache__ Directory - -
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__init__.py File 1284 bytes April 17 2025 13:10:59.
__main__.py File 257 bytes April 17 2025 13:10:59.
annotate.py File 3758 bytes April 17 2025 13:10:59.
bytecode.py File 713 bytes April 17 2025 13:10:59.
cmdline.py File 34427 bytes April 17 2025 13:10:59.
collector.py File 20558 bytes April 17 2025 13:10:59.
config.py File 21989 bytes April 17 2025 13:10:59.
context.py File 2483 bytes April 17 2025 13:10:59.
control.py File 51705 bytes April 17 2025 13:10:59.
data.py File 7508 bytes April 17 2025 13:10:59.
debug.py File 17805 bytes April 17 2025 13:10:59.
disposition.py File 1916 bytes April 17 2025 13:10:59.
env.py File 6081 bytes April 17 2025 13:10:59.
exceptions.py File 1362 bytes April 17 2025 13:10:59.
execfile.py File 12133 bytes April 17 2025 13:10:59.
files.py File 19374 bytes April 17 2025 13:10:59.
html.py File 23165 bytes April 17 2025 13:10:59.
inorout.py File 23900 bytes April 17 2025 13:10:59.
jsonreport.py File 4754 bytes April 17 2025 13:10:59.
lcovreport.py File 4939 bytes April 17 2025 13:10:59.
misc.py File 12172 bytes April 17 2025 13:10:59.
multiproc.py File 3846 bytes April 17 2025 13:10:59.
numbits.py File 4669 bytes April 17 2025 13:10:59.
parser.py File 56720 bytes April 17 2025 13:10:59.
phystokens.py File 7805 bytes April 17 2025 13:10:59.
plugin.py File 19525 bytes April 17 2025 13:10:59.
plugin_support.py File 10351 bytes April 17 2025 13:10:59.
py.typed File 72 bytes April 17 2025 13:10:59.
python.py File 8066 bytes April 17 2025 13:10:59.
pytracer.py File 14420 bytes April 17 2025 13:10:59.
report.py File 10623 bytes April 17 2025 13:10:59.
report_core.py File 4068 bytes April 17 2025 13:10:59.
results.py File 13384 bytes April 17 2025 13:10:59.
sqldata.py File 51295 bytes April 17 2025 13:10:59.
templite.py File 10952 bytes April 17 2025 13:10:59.
tomlconfig.py File 7569 bytes April 17 2025 13:10:59.
tracer.cpython-311-x86_64-linux-gnu.so File 29464 bytes April 17 2025 13:11:30.
types.py File 5526 bytes April 17 2025 13:10:59.
version.py File 1431 bytes April 17 2025 13:10:59.
xmlreport.py File 9795 bytes April 17 2025 13:10:59.

Reading File: //opt/cloudlinux/venv/lib64/python3.11/site-packages/coverage///numbits.py

# 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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