Linux boca.hozzt.com 4.18.0-553.8.1.lve.el8.x86_64 #1 SMP Thu Jul 4 16:24:39 UTC 2024 x86_64
LiteSpeed
: 159.253.39.62 | : 18.118.184.91
Cant Read [ /etc/named.conf ]
7.4.33
renovkoron
Terminal
AUTO ROOT
Adminer
Backdoor Destroyer
Linux Exploit
Lock Shell
Lock File
Create User
CREATE RDP
PHP Mailer
BACKCONNECT
UNLOCK SHELL
HASH IDENTIFIER
README
+ Create Folder
+ Create File
/
opt /
cloudlinux /
venv /
lib /
python3.11 /
site-packages /
astroid /
brain /
[ HOME SHELL ]
Name
Size
Permission
Action
__pycache__
[ DIR ]
drwxr-xr-x
__init__.py
0
B
-rw-r--r--
brain_argparse.py
1.52
KB
-rw-r--r--
brain_attrs.py
2.97
KB
-rw-r--r--
brain_boto3.py
1012
B
-rw-r--r--
brain_builtin_inference.py
33.45
KB
-rw-r--r--
brain_collections.py
4.31
KB
-rw-r--r--
brain_crypt.py
863
B
-rw-r--r--
brain_ctypes.py
2.6
KB
-rw-r--r--
brain_curses.py
3.4
KB
-rw-r--r--
brain_dataclasses.py
21.57
KB
-rw-r--r--
brain_dateutil.py
767
B
-rw-r--r--
brain_fstrings.py
2.41
KB
-rw-r--r--
brain_functools.py
5.85
KB
-rw-r--r--
brain_gi.py
7.37
KB
-rw-r--r--
brain_hashlib.py
2.75
KB
-rw-r--r--
brain_http.py
10.39
KB
-rw-r--r--
brain_hypothesis.py
1.69
KB
-rw-r--r--
brain_io.py
1.49
KB
-rw-r--r--
brain_mechanize.py
2.58
KB
-rw-r--r--
brain_multiprocessing.py
3.14
KB
-rw-r--r--
brain_namedtuple_enum.py
22.19
KB
-rw-r--r--
brain_nose.py
2.27
KB
-rw-r--r--
brain_numpy_core_einsumfunc.py
825
B
-rw-r--r--
brain_numpy_core_fromnumeric.p...
732
B
-rw-r--r--
brain_numpy_core_function_base...
1.27
KB
-rw-r--r--
brain_numpy_core_multiarray.py
4.14
KB
-rw-r--r--
brain_numpy_core_numeric.py
1.59
KB
-rw-r--r--
brain_numpy_core_numerictypes....
8.35
KB
-rw-r--r--
brain_numpy_core_umath.py
4.78
KB
-rw-r--r--
brain_numpy_ma.py
896
B
-rw-r--r--
brain_numpy_ndarray.py
8.79
KB
-rw-r--r--
brain_numpy_random_mtrand.py
3.36
KB
-rw-r--r--
brain_numpy_utils.py
2.58
KB
-rw-r--r--
brain_pathlib.py
1.51
KB
-rw-r--r--
brain_pkg_resources.py
2.15
KB
-rw-r--r--
brain_pytest.py
2.17
KB
-rw-r--r--
brain_qt.py
2.74
KB
-rw-r--r--
brain_random.py
2.82
KB
-rw-r--r--
brain_re.py
2.8
KB
-rw-r--r--
brain_regex.py
3.28
KB
-rw-r--r--
brain_responses.py
1.82
KB
-rw-r--r--
brain_scipy_signal.py
2.22
KB
-rw-r--r--
brain_signal.py
3.79
KB
-rw-r--r--
brain_six.py
7.42
KB
-rw-r--r--
brain_sqlalchemy.py
1009
B
-rw-r--r--
brain_ssl.py
6.4
KB
-rw-r--r--
brain_subprocess.py
2.93
KB
-rw-r--r--
brain_threading.py
870
B
-rw-r--r--
brain_type.py
2.42
KB
-rw-r--r--
brain_typing.py
13.98
KB
-rw-r--r--
brain_unittest.py
1.12
KB
-rw-r--r--
brain_uuid.py
667
B
-rw-r--r--
helpers.py
908
B
-rw-r--r--
Delete
Unzip
Zip
${this.title}
Close
Code Editor : brain_numpy_utils.py
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html # For details: https://github.com/PyCQA/astroid/blob/main/LICENSE # Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt """Different utilities for the numpy brains.""" from __future__ import annotations from astroid.builder import extract_node from astroid.context import InferenceContext from astroid.nodes.node_classes import Attribute, Import, Name, NodeNG # Class subscript is available in numpy starting with version 1.20.0 NUMPY_VERSION_TYPE_HINTS_SUPPORT = ("1", "20", "0") def numpy_supports_type_hints() -> bool: """Returns True if numpy supports type hints.""" np_ver = _get_numpy_version() return np_ver and np_ver > NUMPY_VERSION_TYPE_HINTS_SUPPORT def _get_numpy_version() -> tuple[str, str, str]: """ Return the numpy version number if numpy can be imported. Otherwise returns ('0', '0', '0') """ try: import numpy # pylint: disable=import-outside-toplevel return tuple(numpy.version.version.split(".")) except (ImportError, AttributeError): return ("0", "0", "0") def infer_numpy_member(src, node, context: InferenceContext | None = None): node = extract_node(src) return node.infer(context=context) def _is_a_numpy_module(node: Name) -> bool: """ Returns True if the node is a representation of a numpy module. For example in : import numpy as np x = np.linspace(1, 2) The node <Name.np> is a representation of the numpy module. :param node: node to test :return: True if the node is a representation of the numpy module. """ module_nickname = node.name potential_import_target = [ x for x in node.lookup(module_nickname)[1] if isinstance(x, Import) ] return any( ("numpy", module_nickname) in target.names or ("numpy", None) in target.names for target in potential_import_target ) def looks_like_numpy_member(member_name: str, node: NodeNG) -> bool: """ Returns True if the node is a member of numpy whose name is member_name. :param member_name: name of the member :param node: node to test :return: True if the node is a member of numpy """ if ( isinstance(node, Attribute) and node.attrname == member_name and isinstance(node.expr, Name) and _is_a_numpy_module(node.expr) ): return True if ( isinstance(node, Name) and node.name == member_name and node.root().name.startswith("numpy") ): return True return False
Close
