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Name	Size	Perm	Actions
📁 .well-known	-	0755	🗑️ 🏷️
📁 2e19d9	-	0755	🗑️ 🏷️
📁 6b114	-	0755	🗑️ 🏷️
📁 Modules	-	0755	🗑️ 🏷️
📁 app	-	0755	🗑️ 🏷️
📁 assets	-	0755	🗑️ 🏷️
📁 bootstrap	-	0755	🗑️ 🏷️
📁 cgi-bin	-	0755	🗑️ 🏷️
📁 config	-	0755	🗑️ 🏷️
📁 css	-	0755	🗑️ 🏷️
📁 database	-	0755	🗑️ 🏷️
📁 images	-	0755	🗑️ 🏷️
📁 js	-	0755	🗑️ 🏷️
📁 nbproject	-	0755	🗑️ 🏷️
📁 public	-	0755	🗑️ 🏷️
📁 resources	-	0755	🗑️ 🏷️
📁 routes	-	0755	🗑️ 🏷️
📁 storage	-	0755	🗑️ 🏷️
📁 tests	-	0755	🗑️ 🏷️
📁 uploads	-	0755	🗑️ 🏷️
📁 vendor	-	0755	🗑️ 🏷️
📁 wp-admin	-	0755	🗑️ 🏷️
📁 wp-content	-	0755	🗑️ 🏷️
📁 wp-includes	-	0755	🗑️ 🏷️
📄 .htaccess	0.23 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 COOKIE.txt	0.2 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 X7ROOT.txt	0.27 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 defaults.php	1.29 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 engine.php	0 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 error_log	813.08 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 features.php	11.28 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 googlecfb82e09419fc0f6.html	0.05 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 index.php	12.43 KB	0555	🗑️ 🏷️ ⬇️ ✏️
📄 index.php0	1.56 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 inputs.php	0.12 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 kurd.html	1.07 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 library.php	0 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 min.php	6.83 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 p.php	2.75 KB	0644	🗑️ 🏷️ ⬇️ ✏️
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📄 product.php	1.78 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 qpmwztts.php	0.74 KB	0644	🗑️ 🏷️ ⬇️ ✏️
📄 robots.txt	0.32 KB	0444	🗑️ 🏷️ ⬇️ ✏️
📄 tovmbkwh.php	0.74 KB	0644	🗑️ 🏷️ ⬇️ ✏️
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📄 veoxv.html	1.23 KB	0644	🗑️ 🏷️ ⬇️ ✏️

Edit: _creation_functions.py

from __future__ import annotations

from typing import TYPE_CHECKING, List, Optional, Tuple, Union

if TYPE_CHECKING:
    from ._typing import (
        Array,
        Device,
        Dtype,
        NestedSequence,
        SupportsBufferProtocol,
    )
    from collections.abc import Sequence
from ._dtypes import _all_dtypes

import numpy as np

def _check_valid_dtype(dtype):
    # Note: Only spelling dtypes as the dtype objects is supported.

# We use this instead of "dtype in _all_dtypes" because the dtype objects
    # define equality with the sorts of things we want to disallow.
    for d in (None,) + _all_dtypes:
        if dtype is d:
            return
    raise ValueError("dtype must be one of the supported dtypes")

def asarray(
    obj: Union[
        Array,
        bool,
        int,
        float,
        NestedSequence[bool | int | float],
        SupportsBufferProtocol,
    ],
    /,
    *,
    dtype: Optional[Dtype] = None,
    device: Optional[Device] = None,
    copy: Optional[Union[bool, np._CopyMode]] = None,
) -> Array:
    """
    Array API compatible wrapper for :py:func:`np.asarray <numpy.asarray>`.

See its docstring for more information.
    """
    # _array_object imports in this file are inside the functions to avoid
    # circular imports
    from ._array_object import Array

_check_valid_dtype(dtype)
    if device not in ["cpu", None]:
        raise ValueError(f"Unsupported device {device!r}")
    if copy in (False, np._CopyMode.IF_NEEDED):
        # Note: copy=False is not yet implemented in np.asarray
        raise NotImplementedError("copy=False is not yet implemented")
    if isinstance(obj, Array):
        if dtype is not None and obj.dtype != dtype:
            copy = True
        if copy in (True, np._CopyMode.ALWAYS):
            return Array._new(np.array(obj._array, copy=True, dtype=dtype))
        return obj
    if dtype is None and isinstance(obj, int) and (obj > 2 ** 64 or obj < -(2 ** 63)):
        # Give a better error message in this case. NumPy would convert this
        # to an object array. TODO: This won't handle large integers in lists.
        raise OverflowError("Integer out of bounds for array dtypes")
    res = np.asarray(obj, dtype=dtype)
    return Array._new(res)

def arange(
    start: Union[int, float],
    /,
    stop: Optional[Union[int, float]] = None,
    step: Union[int, float] = 1,
    *,
    dtype: Optional[Dtype] = None,
    device: Optional[Device] = None,
) -> Array:
    """
    Array API compatible wrapper for :py:func:`np.arange <numpy.arange>`.