body stringlengths 26 98.2k | body_hash int64 -9,222,864,604,528,158,000 9,221,803,474B | docstring stringlengths 1 16.8k | path stringlengths 5 230 | name stringlengths 1 96 | repository_name stringlengths 7 89 | lang stringclasses 1
value | body_without_docstring stringlengths 20 98.2k |
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def _der(self, x):
'\n Returns the first derivative of the function at each value in x. Only\n called internally by HARKinterpolator1D.derivative.\n '
(y, dydx) = self.eval_with_derivative(x)
return dydx | -4,543,842,455,542,227,500 | Returns the first derivative of the function at each value in x. Only
called internally by HARKinterpolator1D.derivative. | HARK/interpolation.py | _der | cohenimhuji/HARK | python | def _der(self, x):
'\n Returns the first derivative of the function at each value in x. Only\n called internally by HARKinterpolator1D.derivative.\n '
(y, dydx) = self.eval_with_derivative(x)
return dydx |
def _evalAndDer(self, x):
'\n Returns the level and first derivative of the function at each value in\n x. Only called internally by HARKinterpolator1D.eval_and_der.\n '
m = len(x)
fx = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
fx[:, j] = self.functions[... | 89,318,326,350,410,140 | Returns the level and first derivative of the function at each value in
x. Only called internally by HARKinterpolator1D.eval_and_der. | HARK/interpolation.py | _evalAndDer | cohenimhuji/HARK | python | def _evalAndDer(self, x):
'\n Returns the level and first derivative of the function at each value in\n x. Only called internally by HARKinterpolator1D.eval_and_der.\n '
m = len(x)
fx = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
fx[:, j] = self.functions[... |
def __init__(self, *functions):
'\n Constructor to make a new upper envelope iterpolation.\n\n Parameters\n ----------\n *functions : function\n Any number of real functions; often instances of HARKinterpolator1D\n\n Returns\n -------\n new instance of Upp... | -3,742,434,272,132,200,000 | Constructor to make a new upper envelope iterpolation.
Parameters
----------
*functions : function
Any number of real functions; often instances of HARKinterpolator1D
Returns
-------
new instance of UpperEnvelope | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, *functions):
'\n Constructor to make a new upper envelope iterpolation.\n\n Parameters\n ----------\n *functions : function\n Any number of real functions; often instances of HARKinterpolator1D\n\n Returns\n -------\n new instance of Upp... |
def _evaluate(self, x):
'\n Returns the level of the function at each value in x as the maximum among\n all of the functions. Only called internally by HARKinterpolator1D.__call__.\n '
if _isscalar(x):
y = np.nanmax([f(x) for f in self.functions])
else:
m = len(x)
... | 7,497,230,056,737,183,000 | Returns the level of the function at each value in x as the maximum among
all of the functions. Only called internally by HARKinterpolator1D.__call__. | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, x):
'\n Returns the level of the function at each value in x as the maximum among\n all of the functions. Only called internally by HARKinterpolator1D.__call__.\n '
if _isscalar(x):
y = np.nanmax([f(x) for f in self.functions])
else:
m = len(x)
... |
def _der(self, x):
'\n Returns the first derivative of the function at each value in x. Only\n called internally by HARKinterpolator1D.derivative.\n '
(y, dydx) = self.eval_with_derivative(x)
return dydx | -4,543,842,455,542,227,500 | Returns the first derivative of the function at each value in x. Only
called internally by HARKinterpolator1D.derivative. | HARK/interpolation.py | _der | cohenimhuji/HARK | python | def _der(self, x):
'\n Returns the first derivative of the function at each value in x. Only\n called internally by HARKinterpolator1D.derivative.\n '
(y, dydx) = self.eval_with_derivative(x)
return dydx |
def _evalAndDer(self, x):
'\n Returns the level and first derivative of the function at each value in\n x. Only called internally by HARKinterpolator1D.eval_and_der.\n '
m = len(x)
fx = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
fx[:, j] = self.functions[... | 5,161,202,635,096,723,000 | Returns the level and first derivative of the function at each value in
x. Only called internally by HARKinterpolator1D.eval_and_der. | HARK/interpolation.py | _evalAndDer | cohenimhuji/HARK | python | def _evalAndDer(self, x):
'\n Returns the level and first derivative of the function at each value in\n x. Only called internally by HARKinterpolator1D.eval_and_der.\n '
m = len(x)
fx = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
fx[:, j] = self.functions[... |
def __init__(self, *functions):
'\n Constructor to make a new lower envelope iterpolation.\n\n Parameters\n ----------\n *functions : function\n Any number of real functions; often instances of HARKinterpolator2D\n\n Returns\n -------\n new instance of Low... | 1,982,686,540,821,018,600 | Constructor to make a new lower envelope iterpolation.
Parameters
----------
*functions : function
Any number of real functions; often instances of HARKinterpolator2D
Returns
-------
new instance of LowerEnvelope2D | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, *functions):
'\n Constructor to make a new lower envelope iterpolation.\n\n Parameters\n ----------\n *functions : function\n Any number of real functions; often instances of HARKinterpolator2D\n\n Returns\n -------\n new instance of Low... |
def _evaluate(self, x, y):
'\n Returns the level of the function at each value in (x,y) as the minimum\n among all of the functions. Only called internally by\n HARKinterpolator2D.__call__.\n '
if _isscalar(x):
f = np.nanmin([f(x, y) for f in self.functions])
else:
... | 5,249,836,552,260,828,000 | Returns the level of the function at each value in (x,y) as the minimum
among all of the functions. Only called internally by
HARKinterpolator2D.__call__. | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, x, y):
'\n Returns the level of the function at each value in (x,y) as the minimum\n among all of the functions. Only called internally by\n HARKinterpolator2D.__call__.\n '
if _isscalar(x):
f = np.nanmin([f(x, y) for f in self.functions])
else:
... |
def _derX(self, x, y):
'\n Returns the first derivative of the function with respect to X at each\n value in (x,y). Only called internally by HARKinterpolator2D._derX.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self.func... | -5,991,292,268,584,979,000 | Returns the first derivative of the function with respect to X at each
value in (x,y). Only called internally by HARKinterpolator2D._derX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, x, y):
'\n Returns the first derivative of the function with respect to X at each\n value in (x,y). Only called internally by HARKinterpolator2D._derX.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self.func... |
def _derY(self, x, y):
'\n Returns the first derivative of the function with respect to Y at each\n value in (x,y). Only called internally by HARKinterpolator2D._derY.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self.func... | -6,446,132,566,151,625,000 | Returns the first derivative of the function with respect to Y at each
value in (x,y). Only called internally by HARKinterpolator2D._derY. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, x, y):
'\n Returns the first derivative of the function with respect to Y at each\n value in (x,y). Only called internally by HARKinterpolator2D._derY.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self.func... |
def __init__(self, *functions):
'\n Constructor to make a new lower envelope iterpolation.\n\n Parameters\n ----------\n *functions : function\n Any number of real functions; often instances of HARKinterpolator3D\n\n Returns\n -------\n None\n '
... | 4,380,085,783,528,576,000 | Constructor to make a new lower envelope iterpolation.
Parameters
----------
*functions : function
Any number of real functions; often instances of HARKinterpolator3D
Returns
-------
None | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, *functions):
'\n Constructor to make a new lower envelope iterpolation.\n\n Parameters\n ----------\n *functions : function\n Any number of real functions; often instances of HARKinterpolator3D\n\n Returns\n -------\n None\n '
... |
def _evaluate(self, x, y, z):
'\n Returns the level of the function at each value in (x,y,z) as the minimum\n among all of the functions. Only called internally by\n HARKinterpolator3D.__call__.\n '
if _isscalar(x):
f = np.nanmin([f(x, y, z) for f in self.functions])
els... | 6,856,665,904,065,716,000 | Returns the level of the function at each value in (x,y,z) as the minimum
among all of the functions. Only called internally by
HARKinterpolator3D.__call__. | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, x, y, z):
'\n Returns the level of the function at each value in (x,y,z) as the minimum\n among all of the functions. Only called internally by\n HARKinterpolator3D.__call__.\n '
if _isscalar(x):
f = np.nanmin([f(x, y, z) for f in self.functions])
els... |
def _derX(self, x, y, z):
'\n Returns the first derivative of the function with respect to X at each\n value in (x,y,z). Only called internally by HARKinterpolator3D._derX.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self... | -411,142,791,819,318,200 | Returns the first derivative of the function with respect to X at each
value in (x,y,z). Only called internally by HARKinterpolator3D._derX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, x, y, z):
'\n Returns the first derivative of the function with respect to X at each\n value in (x,y,z). Only called internally by HARKinterpolator3D._derX.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self... |
def _derY(self, x, y, z):
'\n Returns the first derivative of the function with respect to Y at each\n value in (x,y,z). Only called internally by HARKinterpolator3D._derY.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self... | -4,448,192,538,913,105,000 | Returns the first derivative of the function with respect to Y at each
value in (x,y,z). Only called internally by HARKinterpolator3D._derY. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, x, y, z):
'\n Returns the first derivative of the function with respect to Y at each\n value in (x,y,z). Only called internally by HARKinterpolator3D._derY.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self... |
def _derZ(self, x, y, z):
'\n Returns the first derivative of the function with respect to Z at each\n value in (x,y,z). Only called internally by HARKinterpolator3D._derZ.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self... | -8,711,043,215,877,459,000 | Returns the first derivative of the function with respect to Z at each
value in (x,y,z). Only called internally by HARKinterpolator3D._derZ. | HARK/interpolation.py | _derZ | cohenimhuji/HARK | python | def _derZ(self, x, y, z):
'\n Returns the first derivative of the function with respect to Z at each\n value in (x,y,z). Only called internally by HARKinterpolator3D._derZ.\n '
m = len(x)
temp = np.zeros((m, self.funcCount))
for j in range(self.funcCount):
temp[:, j] = self... |
def __init__(self, func, lowerBound):
'\n Make a new instance of VariableLowerBoundFunc2D.\n\n Parameters\n ----------\n func : function\n A function f: (R_+ x R) --> R representing the function of interest\n shifted by its lower bound in the first input.\n l... | -7,535,546,025,031,904,000 | Make a new instance of VariableLowerBoundFunc2D.
Parameters
----------
func : function
A function f: (R_+ x R) --> R representing the function of interest
shifted by its lower bound in the first input.
lowerBound : function
The lower bound in the first input of the function of interest, as
a function o... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, func, lowerBound):
'\n Make a new instance of VariableLowerBoundFunc2D.\n\n Parameters\n ----------\n func : function\n A function f: (R_+ x R) --> R representing the function of interest\n shifted by its lower bound in the first input.\n l... |
def __call__(self, x, y):
'\n Evaluate the function at given state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same shape as x.\n\n Returns\n -------\n ... | 2,563,630,424,569,989,000 | Evaluate the function at given state space points.
Parameters
----------
x : np.array
First input values.
y : np.array
Second input values; should be of same shape as x.
Returns
-------
f_out : np.array
Function evaluated at (x,y), of same shape as inputs. | HARK/interpolation.py | __call__ | cohenimhuji/HARK | python | def __call__(self, x, y):
'\n Evaluate the function at given state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same shape as x.\n\n Returns\n -------\n ... |
def derivativeX(self, x, y):
'\n Evaluate the first derivative with respect to x of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same s... | 7,029,267,794,205,042,000 | Evaluate the first derivative with respect to x of the function at given
state space points.
Parameters
----------
x : np.array
First input values.
y : np.array
Second input values; should be of same shape as x.
Returns
-------
dfdx_out : np.array
First derivative of function with respect to the first i... | HARK/interpolation.py | derivativeX | cohenimhuji/HARK | python | def derivativeX(self, x, y):
'\n Evaluate the first derivative with respect to x of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same s... |
def derivativeY(self, x, y):
'\n Evaluate the first derivative with respect to y of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same s... | 543,617,472,426,047,800 | Evaluate the first derivative with respect to y of the function at given
state space points.
Parameters
----------
x : np.array
First input values.
y : np.array
Second input values; should be of same shape as x.
Returns
-------
dfdy_out : np.array
First derivative of function with respect to the second ... | HARK/interpolation.py | derivativeY | cohenimhuji/HARK | python | def derivativeY(self, x, y):
'\n Evaluate the first derivative with respect to y of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same s... |
def __init__(self, func, lowerBound):
'\n Make a new instance of VariableLowerBoundFunc3D.\n\n Parameters\n ----------\n func : function\n A function f: (R_+ x R^2) --> R representing the function of interest\n shifted by its lower bound in the first input.\n ... | 7,236,612,615,693,391,000 | Make a new instance of VariableLowerBoundFunc3D.
Parameters
----------
func : function
A function f: (R_+ x R^2) --> R representing the function of interest
shifted by its lower bound in the first input.
lowerBound : function
The lower bound in the first input of the function of interest, as
a function... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, func, lowerBound):
'\n Make a new instance of VariableLowerBoundFunc3D.\n\n Parameters\n ----------\n func : function\n A function f: (R_+ x R^2) --> R representing the function of interest\n shifted by its lower bound in the first input.\n ... |
def __call__(self, x, y, z):
'\n Evaluate the function at given state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same shape as x.\n z : np.array\n Thir... | -2,633,069,501,070,394,000 | Evaluate the function at given state space points.
Parameters
----------
x : np.array
First input values.
y : np.array
Second input values; should be of same shape as x.
z : np.array
Third input values; should be of same shape as x.
Returns
-------
f_out : np.array
Function evaluated at (x,y,z), of... | HARK/interpolation.py | __call__ | cohenimhuji/HARK | python | def __call__(self, x, y, z):
'\n Evaluate the function at given state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of same shape as x.\n z : np.array\n Thir... |
def derivativeX(self, x, y, z):
'\n Evaluate the first derivative with respect to x of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of sam... | 2,479,280,836,390,275,600 | Evaluate the first derivative with respect to x of the function at given
state space points.
Parameters
----------
x : np.array
First input values.
y : np.array
Second input values; should be of same shape as x.
z : np.array
Third input values; should be of same shape as x.
Returns
-------
dfdx_out : n... | HARK/interpolation.py | derivativeX | cohenimhuji/HARK | python | def derivativeX(self, x, y, z):
'\n Evaluate the first derivative with respect to x of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of sam... |
def derivativeY(self, x, y, z):
'\n Evaluate the first derivative with respect to y of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of sam... | -1,435,814,437,818,480,400 | Evaluate the first derivative with respect to y of the function at given
state space points.
Parameters
----------
x : np.array
First input values.
y : np.array
Second input values; should be of same shape as x.
z : np.array
Third input values; should be of same shape as x.
Returns
-------
dfdy_out : n... | HARK/interpolation.py | derivativeY | cohenimhuji/HARK | python | def derivativeY(self, x, y, z):
'\n Evaluate the first derivative with respect to y of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of sam... |
def derivativeZ(self, x, y, z):
'\n Evaluate the first derivative with respect to z of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of sam... | -6,892,089,819,161,378,000 | Evaluate the first derivative with respect to z of the function at given
state space points.
Parameters
----------
x : np.array
First input values.
y : np.array
Second input values; should be of same shape as x.
z : np.array
Third input values; should be of same shape as x.
Returns
-------
dfdz_out : n... | HARK/interpolation.py | derivativeZ | cohenimhuji/HARK | python | def derivativeZ(self, x, y, z):
'\n Evaluate the first derivative with respect to z of the function at given\n state space points.\n\n Parameters\n ----------\n x : np.array\n First input values.\n y : np.array\n Second input values; should be of sam... |
def __init__(self, xInterpolators, y_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(x,y) using interpolations over f(x,y_0) for a fixed grid of\n y_0 values.\n\n Parameters\n ----------\n xInterpolators : [HARKinterpolator1... | 662,969,043,855,528,400 | Constructor for the class, generating an approximation to a function of
the form f(x,y) using interpolations over f(x,y_0) for a fixed grid of
y_0 values.
Parameters
----------
xInterpolators : [HARKinterpolator1D]
A list of 1D interpolations over the x variable. The nth element of
xInterpolators represents f... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, xInterpolators, y_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(x,y) using interpolations over f(x,y_0) for a fixed grid of\n y_0 values.\n\n Parameters\n ----------\n xInterpolators : [HARKinterpolator1... |
def _evaluate(self, x, y):
'\n Returns the level of the interpolated function at each value in x,y.\n Only called internally by HARKinterpolator2D.__call__ (etc).\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
alpha = ((y - self.y_l... | 5,593,763,169,825,352,000 | Returns the level of the interpolated function at each value in x,y.
Only called internally by HARKinterpolator2D.__call__ (etc). | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, x, y):
'\n Returns the level of the interpolated function at each value in x,y.\n Only called internally by HARKinterpolator2D.__call__ (etc).\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
alpha = ((y - self.y_l... |
def _derX(self, x, y):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
alpha ... | -6,343,394,968,401,222,000 | Returns the derivative with respect to x of the interpolated function
at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, x, y):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
alpha ... |
def _derY(self, x, y):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeY.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
dfdy =... | -475,866,422,364,120,100 | Returns the derivative with respect to y of the interpolated function
at each value in x,y. Only called internally by HARKinterpolator2D.derivativeY. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, x, y):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeY.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
dfdy =... |
def __init__(self, xInterpolators, y_values, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(x,y,z) using interpolations over f(x,y_0,z_0) for a fixed grid\n of y_0 and z_0 values.\n\n Parameters\n ----------\n xInterpolat... | -3,114,806,296,255,248,400 | Constructor for the class, generating an approximation to a function of
the form f(x,y,z) using interpolations over f(x,y_0,z_0) for a fixed grid
of y_0 and z_0 values.
Parameters
----------
xInterpolators : [[HARKinterpolator1D]]
A list of lists of 1D interpolations over the x variable. The i,j-th
element of... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, xInterpolators, y_values, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(x,y,z) using interpolations over f(x,y_0,z_0) for a fixed grid\n of y_0 and z_0 values.\n\n Parameters\n ----------\n xInterpolat... |
def _evaluate(self, x, y, z):
'\n Returns the level of the interpolated function at each value in x,y,z.\n Only called internally by HARKinterpolator3D.__call__ (etc).\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z_pos = max(min(n... | 9,073,170,695,666,131,000 | Returns the level of the interpolated function at each value in x,y,z.
Only called internally by HARKinterpolator3D.__call__ (etc). | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, x, y, z):
'\n Returns the level of the interpolated function at each value in x,y,z.\n Only called internally by HARKinterpolator3D.__call__ (etc).\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z_pos = max(min(n... |
def _derX(self, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeX.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z... | -442,082,114,651,853,500 | Returns the derivative with respect to x of the interpolated function
at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeX.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z... |
def _derY(self, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeY.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z... | 6,050,288,234,357,051,000 | Returns the derivative with respect to y of the interpolated function
at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeY. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeY.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z... |
def _derZ(self, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeZ.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z... | 8,785,880,321,161,172,000 | Returns the derivative with respect to z of the interpolated function
at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeZ. | HARK/interpolation.py | _derZ | cohenimhuji/HARK | python | def _derZ(self, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeZ.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z... |
def __init__(self, wInterpolators, x_values, y_values, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(w,x,y,z) using interpolations over f(w,x_0,y_0,z_0) for a fixed\n grid of y_0 and z_0 values.\n\n Parameters\n ----------\n ... | -4,740,230,801,676,111,000 | Constructor for the class, generating an approximation to a function of
the form f(w,x,y,z) using interpolations over f(w,x_0,y_0,z_0) for a fixed
grid of y_0 and z_0 values.
Parameters
----------
wInterpolators : [[[HARKinterpolator1D]]]
A list of lists of lists of 1D interpolations over the x variable.
The i... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, wInterpolators, x_values, y_values, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(w,x,y,z) using interpolations over f(w,x_0,y_0,z_0) for a fixed\n grid of y_0 and z_0 values.\n\n Parameters\n ----------\n ... |
def _evaluate(self, w, x, y, z):
'\n Returns the level of the interpolated function at each value in w,x,y,z.\n Only called internally by HARKinterpolator4D.__call__ (etc).\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
y_pos = max(... | 7,536,716,941,229,016,000 | Returns the level of the interpolated function at each value in w,x,y,z.
Only called internally by HARKinterpolator4D.__call__ (etc). | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, w, x, y, z):
'\n Returns the level of the interpolated function at each value in w,x,y,z.\n Only called internally by HARKinterpolator4D.__call__ (etc).\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
y_pos = max(... |
def _derW(self, w, x, y, z):
'\n Returns the derivative with respect to w of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeW.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... | 5,101,724,768,978,712,000 | Returns the derivative with respect to w of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeW. | HARK/interpolation.py | _derW | cohenimhuji/HARK | python | def _derW(self, w, x, y, z):
'\n Returns the derivative with respect to w of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeW.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... |
def _derX(self, w, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeX.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... | -5,434,517,824,112,447,000 | Returns the derivative with respect to x of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, w, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeX.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... |
def _derY(self, w, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeY.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... | -7,388,617,949,752,141,000 | Returns the derivative with respect to y of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeY. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, w, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeY.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... |
def _derZ(self, w, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeZ.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... | -2,644,368,838,800,340,500 | Returns the derivative with respect to z of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeZ. | HARK/interpolation.py | _derZ | cohenimhuji/HARK | python | def _derZ(self, w, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeZ.\n '
if _isscalar(w):
x_pos = max(min(np.searchsorted(self.x_list, x), (self.x_n - 1)), 1)
... |
def __init__(self, xyInterpolators, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(x,y,z) using interpolations over f(x,y,z_0) for a fixed grid\n of z_0 values.\n\n Parameters\n ----------\n xyInterpolators : [HARKinterpo... | -4,900,033,517,917,075,000 | Constructor for the class, generating an approximation to a function of
the form f(x,y,z) using interpolations over f(x,y,z_0) for a fixed grid
of z_0 values.
Parameters
----------
xyInterpolators : [HARKinterpolator2D]
A list of 2D interpolations over the x and y variables. The nth
element of xyInterpolators... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, xyInterpolators, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(x,y,z) using interpolations over f(x,y,z_0) for a fixed grid\n of z_0 values.\n\n Parameters\n ----------\n xyInterpolators : [HARKinterpo... |
def _evaluate(self, x, y, z):
'\n Returns the level of the interpolated function at each value in x,y,z.\n Only called internally by HARKinterpolator3D.__call__ (etc).\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
alpha = ((z - sel... | -7,647,440,318,575,433,000 | Returns the level of the interpolated function at each value in x,y,z.
Only called internally by HARKinterpolator3D.__call__ (etc). | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, x, y, z):
'\n Returns the level of the interpolated function at each value in x,y,z.\n Only called internally by HARKinterpolator3D.__call__ (etc).\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
alpha = ((z - sel... |
def _derX(self, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeX.\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
a... | 1,322,114,914,739,417,900 | Returns the derivative with respect to x of the interpolated function
at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeX.\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
a... |
def _derY(self, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeY.\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
a... | -3,482,169,174,195,050,000 | Returns the derivative with respect to y of the interpolated function
at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeY. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeY.\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
a... |
def _derZ(self, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeZ.\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
d... | 7,974,405,844,827,120,000 | Returns the derivative with respect to z of the interpolated function
at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeZ. | HARK/interpolation.py | _derZ | cohenimhuji/HARK | python | def _derZ(self, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in x,y,z. Only called internally by HARKinterpolator3D.derivativeZ.\n '
if _isscalar(x):
z_pos = max(min(np.searchsorted(self.z_list, z), (self.z_n - 1)), 1)
d... |
def __init__(self, wxInterpolators, y_values, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(w,x,y,z) using interpolations over f(w,x,y_0,z_0) for a fixed\n grid of y_0 and z_0 values.\n\n Parameters\n ----------\n wxInte... | 2,062,076,805,536,904,000 | Constructor for the class, generating an approximation to a function of
the form f(w,x,y,z) using interpolations over f(w,x,y_0,z_0) for a fixed
grid of y_0 and z_0 values.
Parameters
----------
wxInterpolators : [[HARKinterpolator2D]]
A list of lists of 2D interpolations over the w and x variables.
The i,j-th... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, wxInterpolators, y_values, z_values):
'\n Constructor for the class, generating an approximation to a function of\n the form f(w,x,y,z) using interpolations over f(w,x,y_0,z_0) for a fixed\n grid of y_0 and z_0 values.\n\n Parameters\n ----------\n wxInte... |
def _evaluate(self, w, x, y, z):
'\n Returns the level of the interpolated function at each value in x,y,z.\n Only called internally by HARKinterpolator4D.__call__ (etc).\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z_pos = max(mi... | -7,212,439,489,972,631,000 | Returns the level of the interpolated function at each value in x,y,z.
Only called internally by HARKinterpolator4D.__call__ (etc). | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, w, x, y, z):
'\n Returns the level of the interpolated function at each value in x,y,z.\n Only called internally by HARKinterpolator4D.__call__ (etc).\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
z_pos = max(mi... |
def _derW(self, w, x, y, z):
'\n Returns the derivative with respect to w of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeW.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... | 3,454,840,866,681,943,600 | Returns the derivative with respect to w of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeW. | HARK/interpolation.py | _derW | cohenimhuji/HARK | python | def _derW(self, w, x, y, z):
'\n Returns the derivative with respect to w of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeW.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... |
def _derX(self, w, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeX.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... | 5,816,581,178,847,682,000 | Returns the derivative with respect to x of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, w, x, y, z):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeX.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... |
def _derY(self, w, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeY.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... | -2,196,527,685,885,881,000 | Returns the derivative with respect to y of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeY. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, w, x, y, z):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeY.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... |
def _derZ(self, w, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeZ.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... | -3,309,131,212,846,705,700 | Returns the derivative with respect to z of the interpolated function
at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeZ. | HARK/interpolation.py | _derZ | cohenimhuji/HARK | python | def _derZ(self, w, x, y, z):
'\n Returns the derivative with respect to z of the interpolated function\n at each value in w,x,y,z. Only called internally by HARKinterpolator4D.derivativeZ.\n '
if _isscalar(x):
y_pos = max(min(np.searchsorted(self.y_list, y), (self.y_n - 1)), 1)
... |
def __init__(self, f_values, x_values, y_values):
'\n Constructor for 2D curvilinear interpolation for a function f(x,y)\n\n Parameters\n ----------\n f_values: numpy.array\n A 2D array of function values such that f_values[i,j] =\n f(x_values[i,j],y_values[i,j]).\n... | 313,606,005,359,733,760 | Constructor for 2D curvilinear interpolation for a function f(x,y)
Parameters
----------
f_values: numpy.array
A 2D array of function values such that f_values[i,j] =
f(x_values[i,j],y_values[i,j]).
x_values: numpy.array
A 2D array of x values of the same size as f_values.
y_values: numpy.array
A 2D ar... | HARK/interpolation.py | __init__ | cohenimhuji/HARK | python | def __init__(self, f_values, x_values, y_values):
'\n Constructor for 2D curvilinear interpolation for a function f(x,y)\n\n Parameters\n ----------\n f_values: numpy.array\n A 2D array of function values such that f_values[i,j] =\n f(x_values[i,j],y_values[i,j]).\n... |
def updatePolarity(self):
'\n Fills in the polarity attribute of the interpolation, determining whether\n the "plus" (True) or "minus" (False) solution of the system of equations\n should be used for each sector. Needs to be called in __init__.\n\n Parameters\n ----------\n ... | 1,964,623,072,593,055,500 | Fills in the polarity attribute of the interpolation, determining whether
the "plus" (True) or "minus" (False) solution of the system of equations
should be used for each sector. Needs to be called in __init__.
Parameters
----------
none
Returns
-------
none | HARK/interpolation.py | updatePolarity | cohenimhuji/HARK | python | def updatePolarity(self):
'\n Fills in the polarity attribute of the interpolation, determining whether\n the "plus" (True) or "minus" (False) solution of the system of equations\n should be used for each sector. Needs to be called in __init__.\n\n Parameters\n ----------\n ... |
def findSector(self, x, y):
'\n Finds the quadrilateral "sector" for each (x,y) point in the input.\n Only called as a subroutine of _evaluate().\n\n Parameters\n ----------\n x : np.array\n Values whose sector should be found.\n y : np.array\n Values ... | -8,147,189,302,166,205,000 | Finds the quadrilateral "sector" for each (x,y) point in the input.
Only called as a subroutine of _evaluate().
Parameters
----------
x : np.array
Values whose sector should be found.
y : np.array
Values whose sector should be found. Should be same size as x.
Returns
-------
x_pos : np.array
Sector x-coo... | HARK/interpolation.py | findSector | cohenimhuji/HARK | python | def findSector(self, x, y):
'\n Finds the quadrilateral "sector" for each (x,y) point in the input.\n Only called as a subroutine of _evaluate().\n\n Parameters\n ----------\n x : np.array\n Values whose sector should be found.\n y : np.array\n Values ... |
def findCoords(self, x, y, x_pos, y_pos):
'\n Calculates the relative coordinates (alpha,beta) for each point (x,y),\n given the sectors (x_pos,y_pos) in which they reside. Only called as\n a subroutine of __call__().\n\n Parameters\n ----------\n x : np.array\n ... | 6,835,459,731,216,263,000 | Calculates the relative coordinates (alpha,beta) for each point (x,y),
given the sectors (x_pos,y_pos) in which they reside. Only called as
a subroutine of __call__().
Parameters
----------
x : np.array
Values whose sector should be found.
y : np.array
Values whose sector should be found. Should be same size... | HARK/interpolation.py | findCoords | cohenimhuji/HARK | python | def findCoords(self, x, y, x_pos, y_pos):
'\n Calculates the relative coordinates (alpha,beta) for each point (x,y),\n given the sectors (x_pos,y_pos) in which they reside. Only called as\n a subroutine of __call__().\n\n Parameters\n ----------\n x : np.array\n ... |
def _evaluate(self, x, y):
'\n Returns the level of the interpolated function at each value in x,y.\n Only called internally by HARKinterpolator2D.__call__ (etc).\n '
(x_pos, y_pos) = self.findSector(x, y)
(alpha, beta) = self.findCoords(x, y, x_pos, y_pos)
f = ((((((1 - alpha) * (1... | -7,214,506,177,621,786,000 | Returns the level of the interpolated function at each value in x,y.
Only called internally by HARKinterpolator2D.__call__ (etc). | HARK/interpolation.py | _evaluate | cohenimhuji/HARK | python | def _evaluate(self, x, y):
'\n Returns the level of the interpolated function at each value in x,y.\n Only called internally by HARKinterpolator2D.__call__ (etc).\n '
(x_pos, y_pos) = self.findSector(x, y)
(alpha, beta) = self.findCoords(x, y, x_pos, y_pos)
f = ((((((1 - alpha) * (1... |
def _derX(self, x, y):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX.\n '
(x_pos, y_pos) = self.findSector(x, y)
(alpha, beta) = self.findCoords(x, y, x_pos, y_pos)
xA = self... | 1,090,018,395,499,337,000 | Returns the derivative with respect to x of the interpolated function
at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX. | HARK/interpolation.py | _derX | cohenimhuji/HARK | python | def _derX(self, x, y):
'\n Returns the derivative with respect to x of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX.\n '
(x_pos, y_pos) = self.findSector(x, y)
(alpha, beta) = self.findCoords(x, y, x_pos, y_pos)
xA = self... |
def _derY(self, x, y):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX.\n '
(x_pos, y_pos) = self.findSector(x, y)
(alpha, beta) = self.findCoords(x, y, x_pos, y_pos)
xA = self... | 6,395,438,805,271,595,000 | Returns the derivative with respect to y of the interpolated function
at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX. | HARK/interpolation.py | _derY | cohenimhuji/HARK | python | def _derY(self, x, y):
'\n Returns the derivative with respect to y of the interpolated function\n at each value in x,y. Only called internally by HARKinterpolator2D.derivativeX.\n '
(x_pos, y_pos) = self.findSector(x, y)
(alpha, beta) = self.findCoords(x, y, x_pos, y_pos)
xA = self... |
def get_image(train):
'\n Randomly pick one image from training data\n ====================\n Args:\n train: train data\n ====================\n Return:\n image\n '
n = len(train)
ind = np.random.randint(0, n)
img_dir = train[ind]
image = Image.open(img_dir)
i... | -5,667,126,658,187,695,000 | Randomly pick one image from training data
====================
Args:
train: train data
====================
Return:
image | cats_dogs/base.py | get_image | GPUworkstation/tensorflow-project | python | def get_image(train):
'\n Randomly pick one image from training data\n ====================\n Args:\n train: train data\n ====================\n Return:\n image\n '
n = len(train)
ind = np.random.randint(0, n)
img_dir = train[ind]
image = Image.open(img_dir)
i... |
def evaluate():
'\n Test one image against the saved models and parameters\n '
train_dir = './data/train/'
(train, train_label) = train_test_split.get_files(train_dir)
image_array = get_image(train)
with tf.Graph().as_default():
batch_size = 1
n_classes = 2
image = ... | -4,895,543,533,726,775,000 | Test one image against the saved models and parameters | cats_dogs/base.py | evaluate | GPUworkstation/tensorflow-project | python | def evaluate():
'\n \n '
train_dir = './data/train/'
(train, train_label) = train_test_split.get_files(train_dir)
image_array = get_image(train)
with tf.Graph().as_default():
batch_size = 1
n_classes = 2
image = tf.cast(image_array, tf.float32)
image = tf.im... |
def evaluate_state_from_last_coordinate(self, c):
'\n cmax: 450\n cmin: 150\n \n c definately will be between 150 and 450.\n state0 - (150 - 179)\n state1 - (180 - 209)\n state2 - (210 - 239)\n state3 - (240 - 269)\n state4 - (270 - 299)\n state5... | -6,452,695,814,198,387,000 | cmax: 450
cmin: 150
c definately will be between 150 and 450.
state0 - (150 - 179)
state1 - (180 - 209)
state2 - (210 - 239)
state3 - (240 - 269)
state4 - (270 - 299)
state5 - (300 - 329)
state6 - (330 - 359)
state7 - (360 - 389)
state8 - (390 - 419)
state9 - (420 - 450) | pytennis/play.py | evaluate_state_from_last_coordinate | elishatofunmi/ReinEnv | python | def evaluate_state_from_last_coordinate(self, c):
'\n cmax: 450\n cmin: 150\n \n c definately will be between 150 and 450.\n state0 - (150 - 179)\n state1 - (180 - 209)\n state2 - (210 - 239)\n state3 - (240 - 269)\n state4 - (270 - 299)\n state5... |
def randomVal(self, action):
'\n cmax: 450\n cmin: 150\n \n c definately will be between 150 and 450.\n state0 - (150 - 179)\n state1 - (180 - 209)\n state2 - (210 - 239)\n state3 - (240 - 269)\n state4 - (270 - 299)\n state5 - (300 - 329)\n ... | 2,146,418,420,197,529,000 | cmax: 450
cmin: 150
c definately will be between 150 and 450.
state0 - (150 - 179)
state1 - (180 - 209)
state2 - (210 - 239)
state3 - (240 - 269)
state4 - (270 - 299)
state5 - (300 - 329)
state6 - (330 - 359)
state7 - (360 - 389)
state8 - (390 - 419)
state9 - (420 - 450) | pytennis/play.py | randomVal | elishatofunmi/ReinEnv | python | def randomVal(self, action):
'\n cmax: 450\n cmin: 150\n \n c definately will be between 150 and 450.\n state0 - (150 - 179)\n state1 - (180 - 209)\n state2 - (210 - 239)\n state3 - (240 - 269)\n state4 - (270 - 299)\n state5 - (300 - 329)\n ... |
def print_metrics(round_number, client_ids, metrics, hierarchies, num_samples, path):
'Prints or appends the given metrics in a csv.\n\n The resulting dataframe is of the form:\n client_id, round_number, hierarchy, num_samples, metric1, metric2\n twebbstack, 0, , 18, 0.5, 0.89\n\n Args:\n ... | -7,489,702,820,993,001,000 | Prints or appends the given metrics in a csv.
The resulting dataframe is of the form:
client_id, round_number, hierarchy, num_samples, metric1, metric2
twebbstack, 0, , 18, 0.5, 0.89
Args:
round_number: Number of the round the metrics correspond to. If
0, then the file in path is overwritten. If n... | models/metrics/writer.py | print_metrics | slowbull/leaf | python | def print_metrics(round_number, client_ids, metrics, hierarchies, num_samples, path):
'Prints or appends the given metrics in a csv.\n\n The resulting dataframe is of the form:\n client_id, round_number, hierarchy, num_samples, metric1, metric2\n twebbstack, 0, , 18, 0.5, 0.89\n\n Args:\n ... |
def print_dataframe(df, path, mode='w'):
'Writes the given dataframe in path as a csv'
header = (mode == 'w')
df.to_csv(path, mode=mode, header=header, index=False) | 4,623,578,379,609,001,000 | Writes the given dataframe in path as a csv | models/metrics/writer.py | print_dataframe | slowbull/leaf | python | def print_dataframe(df, path, mode='w'):
header = (mode == 'w')
df.to_csv(path, mode=mode, header=header, index=False) |
def get_metrics_names(metrics):
'Gets the names of the metrics.\n\n Args:\n metrics: Dict keyed by client id. Each element is a dict of metrics\n for that client in the specified round. The dicts for all clients\n are expected to have the same set of keys.'
if (len(metrics) == 0)... | 97,297,999,199,947,840 | Gets the names of the metrics.
Args:
metrics: Dict keyed by client id. Each element is a dict of metrics
for that client in the specified round. The dicts for all clients
are expected to have the same set of keys. | models/metrics/writer.py | get_metrics_names | slowbull/leaf | python | def get_metrics_names(metrics):
'Gets the names of the metrics.\n\n Args:\n metrics: Dict keyed by client id. Each element is a dict of metrics\n for that client in the specified round. The dicts for all clients\n are expected to have the same set of keys.'
if (len(metrics) == 0)... |
def build_learner(agent, env_outputs, agent_outputs, env_id):
'Builds the learner loop.\n\n Args:\n agent: A snt.RNNCore module outputting `AgentOutput` named tuples, with an\n `unroll` call for computing the outputs for a whole trajectory.\n agent_state: The initial agent state for each sequence in the... | -8,594,914,943,402,240,000 | Builds the learner loop.
Args:
agent: A snt.RNNCore module outputting `AgentOutput` named tuples, with an
`unroll` call for computing the outputs for a whole trajectory.
agent_state: The initial agent state for each sequence in the batch.
env_outputs: A `StepOutput` namedtuple where each field is of shape
... | popart/build_learner.py | build_learner | steffenvan/IMPALA-PopArt | python | def build_learner(agent, env_outputs, agent_outputs, env_id):
'Builds the learner loop.\n\n Args:\n agent: A snt.RNNCore module outputting `AgentOutput` named tuples, with an\n `unroll` call for computing the outputs for a whole trajectory.\n agent_state: The initial agent state for each sequence in the... |
@mock_ec2
def test_request_spot_instances_default_arguments():
'\n Test that moto set the correct default arguments\n '
conn = boto.connect_ec2()
request = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
requests = conn.get_all_spot_instance_requests()
requests.should.have.leng... | -7,028,861,979,922,277,000 | Test that moto set the correct default arguments | tests/test_ec2/test_spot_instances.py | test_request_spot_instances_default_arguments | GoodRx/moto | python | @mock_ec2
def test_request_spot_instances_default_arguments():
'\n \n '
conn = boto.connect_ec2()
request = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
requests = conn.get_all_spot_instance_requests()
requests.should.have.length_of(1)
request = requests[0]
request.s... |
@mock_ec2
def test_request_spot_instances_fulfilled():
'\n Test that moto correctly fullfills a spot instance request\n '
conn = boto.ec2.connect_to_region('us-east-1')
request = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
requests = conn.get_all_spot_instance_requests()
re... | -9,222,702,379,383,652,000 | Test that moto correctly fullfills a spot instance request | tests/test_ec2/test_spot_instances.py | test_request_spot_instances_fulfilled | GoodRx/moto | python | @mock_ec2
def test_request_spot_instances_fulfilled():
'\n \n '
conn = boto.ec2.connect_to_region('us-east-1')
request = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
requests = conn.get_all_spot_instance_requests()
requests.should.have.length_of(1)
request = requests[0]
... |
@mock_ec2
def test_tag_spot_instance_request():
'\n Test that moto correctly tags a spot instance request\n '
conn = boto.connect_ec2()
request = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
request[0].add_tag('tag1', 'value1')
request[0].add_tag('tag2', 'value2')
reques... | 8,481,017,730,225,486,000 | Test that moto correctly tags a spot instance request | tests/test_ec2/test_spot_instances.py | test_tag_spot_instance_request | GoodRx/moto | python | @mock_ec2
def test_tag_spot_instance_request():
'\n \n '
conn = boto.connect_ec2()
request = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
request[0].add_tag('tag1', 'value1')
request[0].add_tag('tag2', 'value2')
requests = conn.get_all_spot_instance_requests()
reques... |
@mock_ec2
def test_get_all_spot_instance_requests_filtering():
'\n Test that moto correctly filters spot instance requests\n '
conn = boto.connect_ec2()
request1 = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
request2 = conn.request_spot_instances(price=0.5, image_id='ami-abcd12... | 1,229,120,870,811,941,400 | Test that moto correctly filters spot instance requests | tests/test_ec2/test_spot_instances.py | test_get_all_spot_instance_requests_filtering | GoodRx/moto | python | @mock_ec2
def test_get_all_spot_instance_requests_filtering():
'\n \n '
conn = boto.connect_ec2()
request1 = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
request2 = conn.request_spot_instances(price=0.5, image_id='ami-abcd1234')
conn.request_spot_instances(price=0.5, image_i... |
def __init__(self, *args, **kwargs):
'This is a fake class to support current implemetation of MultiApiClientMixin."\n Will be removed in final version of multiapi azure-core based client\n '
pass | -2,091,115,876,554,127,000 | This is a fake class to support current implemetation of MultiApiClientMixin."
Will be removed in final version of multiapi azure-core based client | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | __init__ | AFengKK/azure-sdk-for-python | python | def __init__(self, *args, **kwargs):
'This is a fake class to support current implemetation of MultiApiClientMixin."\n Will be removed in final version of multiapi azure-core based client\n '
pass |
@classmethod
def models(cls, api_version=DEFAULT_API_VERSION):
'Module depends on the API version:\n\n * 2017-03-01: :mod:`v2017_03_01.models<azure.mgmt.containerregistry.v2017_03_01.models>`\n * 2017-10-01: :mod:`v2017_10_01.models<azure.mgmt.containerregistry.v2017_10_01.models>`\n *... | -7,498,642,931,209,086,000 | Module depends on the API version:
* 2017-03-01: :mod:`v2017_03_01.models<azure.mgmt.containerregistry.v2017_03_01.models>`
* 2017-10-01: :mod:`v2017_10_01.models<azure.mgmt.containerregistry.v2017_10_01.models>`
* 2018-02-01-preview: :mod:`v2018_02_01_preview.models<azure.mgmt.containerregistry.v2018_02_01_preview.mo... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | models | AFengKK/azure-sdk-for-python | python | @classmethod
def models(cls, api_version=DEFAULT_API_VERSION):
'Module depends on the API version:\n\n * 2017-03-01: :mod:`v2017_03_01.models<azure.mgmt.containerregistry.v2017_03_01.models>`\n * 2017-10-01: :mod:`v2017_10_01.models<azure.mgmt.containerregistry.v2017_10_01.models>`\n *... |
@property
def agent_pools(self):
'Instance depends on the API version:\n\n * 2019-06-01-preview: :class:`AgentPoolsOperations<azure.mgmt.containerregistry.v2019_06_01_preview.aio.operations.AgentPoolsOperations>`\n '
api_version = self._get_api_version('agent_pools')
if (api_version == '201... | -5,085,916,263,640,466,000 | Instance depends on the API version:
* 2019-06-01-preview: :class:`AgentPoolsOperations<azure.mgmt.containerregistry.v2019_06_01_preview.aio.operations.AgentPoolsOperations>` | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | agent_pools | AFengKK/azure-sdk-for-python | python | @property
def agent_pools(self):
'Instance depends on the API version:\n\n * 2019-06-01-preview: :class:`AgentPoolsOperations<azure.mgmt.containerregistry.v2019_06_01_preview.aio.operations.AgentPoolsOperations>`\n '
api_version = self._get_api_version('agent_pools')
if (api_version == '201... |
@property
def build_steps(self):
'Instance depends on the API version:\n\n * 2018-02-01-preview: :class:`BuildStepsOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildStepsOperations>`\n '
api_version = self._get_api_version('build_steps')
if (api_version == '201... | -1,496,829,672,706,553,600 | Instance depends on the API version:
* 2018-02-01-preview: :class:`BuildStepsOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildStepsOperations>` | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | build_steps | AFengKK/azure-sdk-for-python | python | @property
def build_steps(self):
'Instance depends on the API version:\n\n * 2018-02-01-preview: :class:`BuildStepsOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildStepsOperations>`\n '
api_version = self._get_api_version('build_steps')
if (api_version == '201... |
@property
def build_tasks(self):
'Instance depends on the API version:\n\n * 2018-02-01-preview: :class:`BuildTasksOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildTasksOperations>`\n '
api_version = self._get_api_version('build_tasks')
if (api_version == '201... | -5,406,831,408,611,816,000 | Instance depends on the API version:
* 2018-02-01-preview: :class:`BuildTasksOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildTasksOperations>` | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | build_tasks | AFengKK/azure-sdk-for-python | python | @property
def build_tasks(self):
'Instance depends on the API version:\n\n * 2018-02-01-preview: :class:`BuildTasksOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildTasksOperations>`\n '
api_version = self._get_api_version('build_tasks')
if (api_version == '201... |
@property
def builds(self):
'Instance depends on the API version:\n\n * 2018-02-01-preview: :class:`BuildsOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildsOperations>`\n '
api_version = self._get_api_version('builds')
if (api_version == '2018-02-01-preview'):... | -6,728,441,991,317,288,000 | Instance depends on the API version:
* 2018-02-01-preview: :class:`BuildsOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildsOperations>` | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | builds | AFengKK/azure-sdk-for-python | python | @property
def builds(self):
'Instance depends on the API version:\n\n * 2018-02-01-preview: :class:`BuildsOperations<azure.mgmt.containerregistry.v2018_02_01_preview.aio.operations.BuildsOperations>`\n '
api_version = self._get_api_version('builds')
if (api_version == '2018-02-01-preview'):... |
@property
def connected_registries(self):
'Instance depends on the API version:\n\n * 2020-11-01-preview: :class:`ConnectedRegistriesOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.ConnectedRegistriesOperations>`\n * 2021-06-01-preview: :class:`ConnectedRegistriesOpera... | 6,753,454,761,955,240,000 | Instance depends on the API version:
* 2020-11-01-preview: :class:`ConnectedRegistriesOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.ConnectedRegistriesOperations>`
* 2021-06-01-preview: :class:`ConnectedRegistriesOperations<azure.mgmt.containerregistry.v2021_06_01_preview.aio.operations.Co... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | connected_registries | AFengKK/azure-sdk-for-python | python | @property
def connected_registries(self):
'Instance depends on the API version:\n\n * 2020-11-01-preview: :class:`ConnectedRegistriesOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.ConnectedRegistriesOperations>`\n * 2021-06-01-preview: :class:`ConnectedRegistriesOpera... |
@property
def export_pipelines(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`ExportPipelinesOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.ExportPipelinesOperations>`\n * 2020-11-01-preview: :class:`ExportPipelinesOperations<azure.mgmt... | 81,635,952,181,019,620 | Instance depends on the API version:
* 2019-12-01-preview: :class:`ExportPipelinesOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.ExportPipelinesOperations>`
* 2020-11-01-preview: :class:`ExportPipelinesOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.ExportPipeline... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | export_pipelines | AFengKK/azure-sdk-for-python | python | @property
def export_pipelines(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`ExportPipelinesOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.ExportPipelinesOperations>`\n * 2020-11-01-preview: :class:`ExportPipelinesOperations<azure.mgmt... |
@property
def import_pipelines(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`ImportPipelinesOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.ImportPipelinesOperations>`\n * 2020-11-01-preview: :class:`ImportPipelinesOperations<azure.mgmt... | 2,839,135,378,482,908,000 | Instance depends on the API version:
* 2019-12-01-preview: :class:`ImportPipelinesOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.ImportPipelinesOperations>`
* 2020-11-01-preview: :class:`ImportPipelinesOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.ImportPipeline... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | import_pipelines | AFengKK/azure-sdk-for-python | python | @property
def import_pipelines(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`ImportPipelinesOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.ImportPipelinesOperations>`\n * 2020-11-01-preview: :class:`ImportPipelinesOperations<azure.mgmt... |
@property
def operations(self):
'Instance depends on the API version:\n\n * 2017-03-01: :class:`Operations<azure.mgmt.containerregistry.v2017_03_01.aio.operations.Operations>`\n * 2017-10-01: :class:`Operations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.Operations>`\n * 20... | 2,949,915,227,870,088,000 | Instance depends on the API version:
* 2017-03-01: :class:`Operations<azure.mgmt.containerregistry.v2017_03_01.aio.operations.Operations>`
* 2017-10-01: :class:`Operations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.Operations>`
* 2019-05-01: :class:`Operations<azure.mgmt.containerregistry.v2019_05_01.aio.... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | operations | AFengKK/azure-sdk-for-python | python | @property
def operations(self):
'Instance depends on the API version:\n\n * 2017-03-01: :class:`Operations<azure.mgmt.containerregistry.v2017_03_01.aio.operations.Operations>`\n * 2017-10-01: :class:`Operations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.Operations>`\n * 20... |
@property
def pipeline_runs(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`PipelineRunsOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.PipelineRunsOperations>`\n * 2020-11-01-preview: :class:`PipelineRunsOperations<azure.mgmt.containerre... | 4,067,161,058,127,691,000 | Instance depends on the API version:
* 2019-12-01-preview: :class:`PipelineRunsOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.PipelineRunsOperations>`
* 2020-11-01-preview: :class:`PipelineRunsOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.PipelineRunsOperations>... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | pipeline_runs | AFengKK/azure-sdk-for-python | python | @property
def pipeline_runs(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`PipelineRunsOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.PipelineRunsOperations>`\n * 2020-11-01-preview: :class:`PipelineRunsOperations<azure.mgmt.containerre... |
@property
def private_endpoint_connections(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`PrivateEndpointConnectionsOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.PrivateEndpointConnectionsOperations>`\n * 2020-11-01-preview: :class:`Pr... | -1,083,633,000,285,955,200 | Instance depends on the API version:
* 2019-12-01-preview: :class:`PrivateEndpointConnectionsOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.PrivateEndpointConnectionsOperations>`
* 2020-11-01-preview: :class:`PrivateEndpointConnectionsOperations<azure.mgmt.containerregistry.v2020_11_01_prev... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | private_endpoint_connections | AFengKK/azure-sdk-for-python | python | @property
def private_endpoint_connections(self):
'Instance depends on the API version:\n\n * 2019-12-01-preview: :class:`PrivateEndpointConnectionsOperations<azure.mgmt.containerregistry.v2019_12_01_preview.aio.operations.PrivateEndpointConnectionsOperations>`\n * 2020-11-01-preview: :class:`Pr... |
@property
def registries(self):
'Instance depends on the API version:\n\n * 2017-03-01: :class:`RegistriesOperations<azure.mgmt.containerregistry.v2017_03_01.aio.operations.RegistriesOperations>`\n * 2017-10-01: :class:`RegistriesOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations... | 6,331,585,228,933,197,000 | Instance depends on the API version:
* 2017-03-01: :class:`RegistriesOperations<azure.mgmt.containerregistry.v2017_03_01.aio.operations.RegistriesOperations>`
* 2017-10-01: :class:`RegistriesOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.RegistriesOperations>`
* 2018-02-01-preview: :class:`Registri... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | registries | AFengKK/azure-sdk-for-python | python | @property
def registries(self):
'Instance depends on the API version:\n\n * 2017-03-01: :class:`RegistriesOperations<azure.mgmt.containerregistry.v2017_03_01.aio.operations.RegistriesOperations>`\n * 2017-10-01: :class:`RegistriesOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations... |
@property
def replications(self):
'Instance depends on the API version:\n\n * 2017-10-01: :class:`ReplicationsOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.ReplicationsOperations>`\n * 2019-05-01: :class:`ReplicationsOperations<azure.mgmt.containerregistry.v2019_05_01.aio.op... | 1,605,084,691,358,823,000 | Instance depends on the API version:
* 2017-10-01: :class:`ReplicationsOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.ReplicationsOperations>`
* 2019-05-01: :class:`ReplicationsOperations<azure.mgmt.containerregistry.v2019_05_01.aio.operations.ReplicationsOperations>`
* 2019-12-01-preview: :class:`... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | replications | AFengKK/azure-sdk-for-python | python | @property
def replications(self):
'Instance depends on the API version:\n\n * 2017-10-01: :class:`ReplicationsOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.ReplicationsOperations>`\n * 2019-05-01: :class:`ReplicationsOperations<azure.mgmt.containerregistry.v2019_05_01.aio.op... |
@property
def runs(self):
'Instance depends on the API version:\n\n * 2018-09-01: :class:`RunsOperations<azure.mgmt.containerregistry.v2018_09_01.aio.operations.RunsOperations>`\n * 2019-04-01: :class:`RunsOperations<azure.mgmt.containerregistry.v2019_04_01.aio.operations.RunsOperations>`\n ... | -318,249,756,799,848,060 | Instance depends on the API version:
* 2018-09-01: :class:`RunsOperations<azure.mgmt.containerregistry.v2018_09_01.aio.operations.RunsOperations>`
* 2019-04-01: :class:`RunsOperations<azure.mgmt.containerregistry.v2019_04_01.aio.operations.RunsOperations>`
* 2019-06-01-preview: :class:`RunsOperations<azure.mgmt.contai... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | runs | AFengKK/azure-sdk-for-python | python | @property
def runs(self):
'Instance depends on the API version:\n\n * 2018-09-01: :class:`RunsOperations<azure.mgmt.containerregistry.v2018_09_01.aio.operations.RunsOperations>`\n * 2019-04-01: :class:`RunsOperations<azure.mgmt.containerregistry.v2019_04_01.aio.operations.RunsOperations>`\n ... |
@property
def scope_maps(self):
'Instance depends on the API version:\n\n * 2019-05-01-preview: :class:`ScopeMapsOperations<azure.mgmt.containerregistry.v2019_05_01_preview.aio.operations.ScopeMapsOperations>`\n * 2020-11-01-preview: :class:`ScopeMapsOperations<azure.mgmt.containerregistry.v2020... | -7,855,342,236,790,188,000 | Instance depends on the API version:
* 2019-05-01-preview: :class:`ScopeMapsOperations<azure.mgmt.containerregistry.v2019_05_01_preview.aio.operations.ScopeMapsOperations>`
* 2020-11-01-preview: :class:`ScopeMapsOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.ScopeMapsOperations>`
* 2021-06-... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | scope_maps | AFengKK/azure-sdk-for-python | python | @property
def scope_maps(self):
'Instance depends on the API version:\n\n * 2019-05-01-preview: :class:`ScopeMapsOperations<azure.mgmt.containerregistry.v2019_05_01_preview.aio.operations.ScopeMapsOperations>`\n * 2020-11-01-preview: :class:`ScopeMapsOperations<azure.mgmt.containerregistry.v2020... |
@property
def task_runs(self):
'Instance depends on the API version:\n\n * 2019-06-01-preview: :class:`TaskRunsOperations<azure.mgmt.containerregistry.v2019_06_01_preview.aio.operations.TaskRunsOperations>`\n '
api_version = self._get_api_version('task_runs')
if (api_version == '2019-06-01-... | 8,284,909,358,070,862,000 | Instance depends on the API version:
* 2019-06-01-preview: :class:`TaskRunsOperations<azure.mgmt.containerregistry.v2019_06_01_preview.aio.operations.TaskRunsOperations>` | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | task_runs | AFengKK/azure-sdk-for-python | python | @property
def task_runs(self):
'Instance depends on the API version:\n\n * 2019-06-01-preview: :class:`TaskRunsOperations<azure.mgmt.containerregistry.v2019_06_01_preview.aio.operations.TaskRunsOperations>`\n '
api_version = self._get_api_version('task_runs')
if (api_version == '2019-06-01-... |
@property
def tasks(self):
'Instance depends on the API version:\n\n * 2018-09-01: :class:`TasksOperations<azure.mgmt.containerregistry.v2018_09_01.aio.operations.TasksOperations>`\n * 2019-04-01: :class:`TasksOperations<azure.mgmt.containerregistry.v2019_04_01.aio.operations.TasksOperations>`\n... | -8,231,908,233,438,440,000 | Instance depends on the API version:
* 2018-09-01: :class:`TasksOperations<azure.mgmt.containerregistry.v2018_09_01.aio.operations.TasksOperations>`
* 2019-04-01: :class:`TasksOperations<azure.mgmt.containerregistry.v2019_04_01.aio.operations.TasksOperations>`
* 2019-06-01-preview: :class:`TasksOperations<azure.mgmt.c... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | tasks | AFengKK/azure-sdk-for-python | python | @property
def tasks(self):
'Instance depends on the API version:\n\n * 2018-09-01: :class:`TasksOperations<azure.mgmt.containerregistry.v2018_09_01.aio.operations.TasksOperations>`\n * 2019-04-01: :class:`TasksOperations<azure.mgmt.containerregistry.v2019_04_01.aio.operations.TasksOperations>`\n... |
@property
def tokens(self):
'Instance depends on the API version:\n\n * 2019-05-01-preview: :class:`TokensOperations<azure.mgmt.containerregistry.v2019_05_01_preview.aio.operations.TokensOperations>`\n * 2020-11-01-preview: :class:`TokensOperations<azure.mgmt.containerregistry.v2020_11_01_previe... | -6,086,204,719,500,567,000 | Instance depends on the API version:
* 2019-05-01-preview: :class:`TokensOperations<azure.mgmt.containerregistry.v2019_05_01_preview.aio.operations.TokensOperations>`
* 2020-11-01-preview: :class:`TokensOperations<azure.mgmt.containerregistry.v2020_11_01_preview.aio.operations.TokensOperations>`
* 2021-06-01-preview: ... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | tokens | AFengKK/azure-sdk-for-python | python | @property
def tokens(self):
'Instance depends on the API version:\n\n * 2019-05-01-preview: :class:`TokensOperations<azure.mgmt.containerregistry.v2019_05_01_preview.aio.operations.TokensOperations>`\n * 2020-11-01-preview: :class:`TokensOperations<azure.mgmt.containerregistry.v2020_11_01_previe... |
@property
def webhooks(self):
'Instance depends on the API version:\n\n * 2017-10-01: :class:`WebhooksOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.WebhooksOperations>`\n * 2019-05-01: :class:`WebhooksOperations<azure.mgmt.containerregistry.v2019_05_01.aio.operations.Webhook... | -5,219,705,358,391,033,000 | Instance depends on the API version:
* 2017-10-01: :class:`WebhooksOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.WebhooksOperations>`
* 2019-05-01: :class:`WebhooksOperations<azure.mgmt.containerregistry.v2019_05_01.aio.operations.WebhooksOperations>`
* 2019-12-01-preview: :class:`WebhooksOperatio... | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/aio/_container_registry_management_client.py | webhooks | AFengKK/azure-sdk-for-python | python | @property
def webhooks(self):
'Instance depends on the API version:\n\n * 2017-10-01: :class:`WebhooksOperations<azure.mgmt.containerregistry.v2017_10_01.aio.operations.WebhooksOperations>`\n * 2019-05-01: :class:`WebhooksOperations<azure.mgmt.containerregistry.v2019_05_01.aio.operations.Webhook... |
def set_axes_equal(ax: plt.Axes, limits=None):
"Set 3D plot axes to equal scale.\n\n Make axes of 3D plot have equal scale so that spheres appear as\n spheres and cubes as cubes. Required since `ax.axis('equal')`\n and `ax.set_aspect('equal')` don't work on 3D.\n "
if (limits is Non... | -8,363,108,060,664,645,000 | Set 3D plot axes to equal scale.
Make axes of 3D plot have equal scale so that spheres appear as
spheres and cubes as cubes. Required since `ax.axis('equal')`
and `ax.set_aspect('equal')` don't work on 3D. | env_pyrep/utils.py | set_axes_equal | Kexin-Wei/spinnup | python | def set_axes_equal(ax: plt.Axes, limits=None):
"Set 3D plot axes to equal scale.\n\n Make axes of 3D plot have equal scale so that spheres appear as\n spheres and cubes as cubes. Required since `ax.axis('equal')`\n and `ax.set_aspect('equal')` don't work on 3D.\n "
if (limits is Non... |
def __init__(self, account_moid=None, ancestors=None, create_time=None, mod_time=None, moid=None, object_type=None, owners=None, parent=None, tags=None, version_context=None, device_mo_id=None, dn=None, rn=None, model=None, revision=None, serial=None, vendor=None, blades=None, fanmodules=None, ioms=None, oper_state=Non... | 8,111,156,070,151,296,000 | EquipmentChassis - a model defined in Swagger | intersight/models/equipment_chassis.py | __init__ | fdemello/intersight-python | python | def __init__(self, account_moid=None, ancestors=None, create_time=None, mod_time=None, moid=None, object_type=None, owners=None, parent=None, tags=None, version_context=None, device_mo_id=None, dn=None, rn=None, model=None, revision=None, serial=None, vendor=None, blades=None, fanmodules=None, ioms=None, oper_state=Non... |
@property
def account_moid(self):
'\n Gets the account_moid of this EquipmentChassis.\n The Account ID for this managed object. \n\n :return: The account_moid of this EquipmentChassis.\n :rtype: str\n '
return self._account_moid | 2,961,041,142,107,580,000 | Gets the account_moid of this EquipmentChassis.
The Account ID for this managed object.
:return: The account_moid of this EquipmentChassis.
:rtype: str | intersight/models/equipment_chassis.py | account_moid | fdemello/intersight-python | python | @property
def account_moid(self):
'\n Gets the account_moid of this EquipmentChassis.\n The Account ID for this managed object. \n\n :return: The account_moid of this EquipmentChassis.\n :rtype: str\n '
return self._account_moid |
@account_moid.setter
def account_moid(self, account_moid):
'\n Sets the account_moid of this EquipmentChassis.\n The Account ID for this managed object. \n\n :param account_moid: The account_moid of this EquipmentChassis.\n :type: str\n '
self._account_moid = account_moid | 4,616,591,780,404,822,000 | Sets the account_moid of this EquipmentChassis.
The Account ID for this managed object.
:param account_moid: The account_moid of this EquipmentChassis.
:type: str | intersight/models/equipment_chassis.py | account_moid | fdemello/intersight-python | python | @account_moid.setter
def account_moid(self, account_moid):
'\n Sets the account_moid of this EquipmentChassis.\n The Account ID for this managed object. \n\n :param account_moid: The account_moid of this EquipmentChassis.\n :type: str\n '
self._account_moid = account_moid |
@property
def ancestors(self):
'\n Gets the ancestors of this EquipmentChassis.\n Ancestors is an array containing the MO references of the ancestors in the object containment hierarchy. \n\n :return: The ancestors of this EquipmentChassis.\n :rtype: list[MoBaseMoRef]\n '
retu... | 2,814,781,568,520,714,000 | Gets the ancestors of this EquipmentChassis.
Ancestors is an array containing the MO references of the ancestors in the object containment hierarchy.
:return: The ancestors of this EquipmentChassis.
:rtype: list[MoBaseMoRef] | intersight/models/equipment_chassis.py | ancestors | fdemello/intersight-python | python | @property
def ancestors(self):
'\n Gets the ancestors of this EquipmentChassis.\n Ancestors is an array containing the MO references of the ancestors in the object containment hierarchy. \n\n :return: The ancestors of this EquipmentChassis.\n :rtype: list[MoBaseMoRef]\n '
retu... |
@ancestors.setter
def ancestors(self, ancestors):
'\n Sets the ancestors of this EquipmentChassis.\n Ancestors is an array containing the MO references of the ancestors in the object containment hierarchy. \n\n :param ancestors: The ancestors of this EquipmentChassis.\n :type: list[MoBas... | -3,336,301,955,569,473,500 | Sets the ancestors of this EquipmentChassis.
Ancestors is an array containing the MO references of the ancestors in the object containment hierarchy.
:param ancestors: The ancestors of this EquipmentChassis.
:type: list[MoBaseMoRef] | intersight/models/equipment_chassis.py | ancestors | fdemello/intersight-python | python | @ancestors.setter
def ancestors(self, ancestors):
'\n Sets the ancestors of this EquipmentChassis.\n Ancestors is an array containing the MO references of the ancestors in the object containment hierarchy. \n\n :param ancestors: The ancestors of this EquipmentChassis.\n :type: list[MoBas... |
@property
def create_time(self):
'\n Gets the create_time of this EquipmentChassis.\n The time when this managed object was created. \n\n :return: The create_time of this EquipmentChassis.\n :rtype: datetime\n '
return self._create_time | -6,835,582,992,143,373,000 | Gets the create_time of this EquipmentChassis.
The time when this managed object was created.
:return: The create_time of this EquipmentChassis.
:rtype: datetime | intersight/models/equipment_chassis.py | create_time | fdemello/intersight-python | python | @property
def create_time(self):
'\n Gets the create_time of this EquipmentChassis.\n The time when this managed object was created. \n\n :return: The create_time of this EquipmentChassis.\n :rtype: datetime\n '
return self._create_time |
@create_time.setter
def create_time(self, create_time):
'\n Sets the create_time of this EquipmentChassis.\n The time when this managed object was created. \n\n :param create_time: The create_time of this EquipmentChassis.\n :type: datetime\n '
self._create_time = create_time | 8,204,742,738,341,537,000 | Sets the create_time of this EquipmentChassis.
The time when this managed object was created.
:param create_time: The create_time of this EquipmentChassis.
:type: datetime | intersight/models/equipment_chassis.py | create_time | fdemello/intersight-python | python | @create_time.setter
def create_time(self, create_time):
'\n Sets the create_time of this EquipmentChassis.\n The time when this managed object was created. \n\n :param create_time: The create_time of this EquipmentChassis.\n :type: datetime\n '
self._create_time = create_time |
@property
def mod_time(self):
'\n Gets the mod_time of this EquipmentChassis.\n The time when this managed object was last modified. \n\n :return: The mod_time of this EquipmentChassis.\n :rtype: datetime\n '
return self._mod_time | -792,131,247,139,084,400 | Gets the mod_time of this EquipmentChassis.
The time when this managed object was last modified.
:return: The mod_time of this EquipmentChassis.
:rtype: datetime | intersight/models/equipment_chassis.py | mod_time | fdemello/intersight-python | python | @property
def mod_time(self):
'\n Gets the mod_time of this EquipmentChassis.\n The time when this managed object was last modified. \n\n :return: The mod_time of this EquipmentChassis.\n :rtype: datetime\n '
return self._mod_time |
@mod_time.setter
def mod_time(self, mod_time):
'\n Sets the mod_time of this EquipmentChassis.\n The time when this managed object was last modified. \n\n :param mod_time: The mod_time of this EquipmentChassis.\n :type: datetime\n '
self._mod_time = mod_time | -2,044,530,991,584,952,800 | Sets the mod_time of this EquipmentChassis.
The time when this managed object was last modified.
:param mod_time: The mod_time of this EquipmentChassis.
:type: datetime | intersight/models/equipment_chassis.py | mod_time | fdemello/intersight-python | python | @mod_time.setter
def mod_time(self, mod_time):
'\n Sets the mod_time of this EquipmentChassis.\n The time when this managed object was last modified. \n\n :param mod_time: The mod_time of this EquipmentChassis.\n :type: datetime\n '
self._mod_time = mod_time |
@property
def moid(self):
'\n Gets the moid of this EquipmentChassis.\n A unique identifier of this Managed Object instance. \n\n :return: The moid of this EquipmentChassis.\n :rtype: str\n '
return self._moid | 7,679,648,597,472,186,000 | Gets the moid of this EquipmentChassis.
A unique identifier of this Managed Object instance.
:return: The moid of this EquipmentChassis.
:rtype: str | intersight/models/equipment_chassis.py | moid | fdemello/intersight-python | python | @property
def moid(self):
'\n Gets the moid of this EquipmentChassis.\n A unique identifier of this Managed Object instance. \n\n :return: The moid of this EquipmentChassis.\n :rtype: str\n '
return self._moid |
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