_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_11200 | Destroys the test databases, restoring pre-test conditions. old_config is a data structure defining the changes in the database configuration that need to be reversed. It’s the return value of the setup_databases() method. | |
doc_11201 |
Return specified diagonals. In NumPy 1.9 the returned array is a read-only view instead of a copy as in previous NumPy versions. In a future version the read-only restriction will be removed. Refer to numpy.diagonal for full documentation. See also numpy.diagonal
equivalent function | |
doc_11202 | Controls whether or not a constraint should be created in the database for this foreign key. The default is True, and that’s almost certainly what you want; setting this to False can be very bad for data integrity. That said, here are some scenarios where you might want to do this: You have legacy data that is not val... | |
doc_11203 | cleaned_data is the cleaned data from the form which is used for string formatting | |
doc_11204 | Create a new directory on the server. | |
doc_11205 | Add the current instance (self.object) to the standard get_form_kwargs(). | |
doc_11206 | Close the sequence. | |
doc_11207 |
Return the normalized sinc function. The sinc function is \(\sin(\pi x)/(\pi x)\). Note Note the normalization factor of pi used in the definition. This is the most commonly used definition in signal processing. Use sinc(x / np.pi) to obtain the unnormalized sinc function \(\sin(x)/(x)\) that is more common in mathe... | |
doc_11208 | Computes input<other\text{input} < \text{other} element-wise. The second argument can be a number or a tensor whose shape is broadcastable with the first argument. Parameters
input (Tensor) – the tensor to compare
other (Tensor or float) – the tensor or value to compare Keyword Arguments
out (Tensor, optional)... | |
doc_11209 |
Bases: matplotlib.ticker.Formatter Format axis values using engineering prefixes to represent powers of 1000, plus a specified unit, e.g., 10 MHz instead of 1e7. Parameters
unitstr, default: ""
Unit symbol to use, suitable for use with single-letter representations of powers of 1000. For example, 'Hz' or 'm'. ... | |
doc_11210 | Windows file attributes: dwFileAttributes member of the BY_HANDLE_FILE_INFORMATION structure returned by GetFileInformationByHandle(). See the FILE_ATTRIBUTE_* constants in the stat module. | |
doc_11211 |
Alias for get_edgecolor. | |
doc_11212 |
Add a non-resampled image to the figure. The image is attached to the lower or upper left corner depending on origin. Parameters
X
The image data. This is an array of one of the following shapes: MxN: luminance (grayscale) values MxNx3: RGB values MxNx4: RGBA values
xo, yoint
The x/y image offset in pixels.... | |
doc_11213 |
Compute a confusion matrix for each class or sample. New in version 0.21. Compute class-wise (default) or sample-wise (samplewise=True) multilabel confusion matrix to evaluate the accuracy of a classification, and output confusion matrices for each class or sample. In multilabel confusion matrix \(MCM\), the count ... | |
doc_11214 |
Get the image as a memoryview to the renderer's buffer. draw must be called at least once before this function will work and to update the renderer for any subsequent changes to the Figure. | |
doc_11215 |
Function that computes the Hessian of a given scalar function. Parameters
func (function) – a Python function that takes Tensor inputs and returns a Tensor with a single element.
inputs (tuple of Tensors or Tensor) – inputs to the function func.
create_graph (bool, optional) – If True, the Hessian will be compu... | |
doc_11216 | A generic version of collections.defaultdict. New in version 3.5.2. Deprecated since version 3.9: collections.defaultdict now supports []. See PEP 585 and Generic Alias Type. | |
doc_11217 |
Switch to a temporary renderer for image filtering effects. Currently only supported by the agg renderer. | |
doc_11218 | 'blogs.blog': lambda o: "/blogs/%s/" % o.slug,
'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug),
}
The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti... | |
doc_11219 | self.char() is equivalent to self.to(torch.int8). See to(). Parameters
memory_format (torch.memory_format, optional) – the desired memory format of returned Tensor. Default: torch.preserve_format. | |
doc_11220 | See Migration guide for more details. tf.compat.v1.sparse.add
tf.compat.v1.sparse_add(
a, b, threshold=None, thresh=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (thresh). They will be removed in a future version. Instructions for updating: thresh is deprecated, use threshold instead If one SparseTensor and one... | |
doc_11221 | Return a list of names of all currently available turtle shapes. >>> screen.getshapes()
['arrow', 'blank', 'circle', ..., 'turtle'] | |
doc_11222 | from django.shortcuts import get_object_or_404
from myapps.serializers import UserSerializer
from rest_framework import viewsets
from rest_framework.response import Response
class UserViewSet(viewsets.ViewSet):
"""
A simple ViewSet for listing or retrieving users.
"""
def list(self, request):
q... | |
doc_11223 | Returns a string describing the reason why a geometry is invalid. | |
doc_11224 |
Update this artist's properties from the dict props. Parameters
propsdict | |
doc_11225 |
Bases: matplotlib.ticker.Locator Set a tick on each integer multiple of a base within the view interval. set_params(base)[source]
Set parameters within this locator.
tick_values(vmin, vmax)[source]
Return the values of the located ticks given vmin and vmax. Note To get tick locations with the vmin and vmax... | |
doc_11226 | class sklearn.linear_model.RidgeClassifier(alpha=1.0, *, fit_intercept=True, normalize=False, copy_X=True, max_iter=None, tol=0.001, class_weight=None, solver='auto', random_state=None) [source]
Classifier using Ridge regression. This classifier first converts the target values into {-1, 1} and then treats the proble... | |
doc_11227 |
Apply a function to 1-D slices along the given axis. Execute func1d(a, *args, **kwargs) where func1d operates on 1-D arrays and a is a 1-D slice of arr along axis. This is equivalent to (but faster than) the following use of ndindex and s_, which sets each of ii, jj, and kk to a tuple of indices: Ni, Nk = a.shape[:ax... | |
doc_11228 | Generate a stereo fragment from a mono fragment. Each pair of samples in the stereo fragment are computed from the mono sample, whereby left channel samples are multiplied by lfactor and right channel samples by rfactor. | |
doc_11229 | Raised on dbm.ndbm-specific errors, such as I/O errors. KeyError is raised for general mapping errors like specifying an incorrect key. | |
doc_11230 | Identify the client using a plaintext password. The password will be quoted. | |
doc_11231 |
Sparse inverse covariance w/ cross-validated choice of the l1 penalty. See glossary entry for cross-validation estimator. Read more in the User Guide. Changed in version v0.20: GraphLassoCV has been renamed to GraphicalLassoCV Parameters
alphasint or array-like of shape (n_alphas,), dtype=float, default=4
If ... | |
doc_11232 | See Migration guide for more details. tf.compat.v1.io.write_graph, tf.compat.v1.train.write_graph
tf.io.write_graph(
graph_or_graph_def, logdir, name, as_text=True
)
The graph is written as a text proto unless as_text is False. v = tf.Variable(0, name='my_variable')
sess = tf.compat.v1.Session()
tf.io.write_grap... | |
doc_11233 |
Set the edgecolor(s) of the LineCollection. Parameters
ccolor or list of colors
Single color (all lines have same color), or a sequence of rgba tuples; if it is a sequence the lines will cycle through the sequence. | |
doc_11234 |
Create a 3D stem plot. A stem plot draws lines perpendicular to a baseline, and places markers at the heads. By default, the baseline is defined by x and y, and stems are drawn vertically from bottom to z. Parameters
x, y, zarray-like
The positions of the heads of the stems. The stems are drawn along the orient... | |
doc_11235 | See Migration guide for more details. tf.compat.v1.raw_ops.TridiagonalSolve
tf.raw_ops.TridiagonalSolve(
diagonals, rhs, partial_pivoting=True, name=None
)
Solves tridiagonal systems of equations. Supports batch dimensions and multiple right-hand sides per each left-hand side. On CPU, solution is computed via Ga... | |
doc_11236 | Return a string containing a help message, including the program usage and information about the arguments registered with the ArgumentParser. | |
doc_11237 |
Construct a RcParams instance from the default Matplotlib rc file. | |
doc_11238 | Instances of this class have __call__() methods identical in signature to compile_command(); the difference is that if the instance compiles program text containing a __future__ statement, the instance ‘remembers’ and compiles all subsequent program texts with the statement in force. | |
doc_11239 |
An array object represents a multidimensional, homogeneous array of fixed-size items. An associated data-type object describes the format of each element in the array (its byte-order, how many bytes it occupies in memory, whether it is an integer, a floating point number, or something else, etc.) Arrays should be con... | |
doc_11240 |
Apply a CSS-styling function to the index or column headers, level-wise. Updates the HTML representation with the result. New in version 1.4.0. Parameters
func:function
func should take a Series and return a string array of the same length.
axis:{0, 1, “index”, “columns”}
The headers over which to apply t... | |
doc_11241 | Read all the data from the text-mode file-like object fp, parse the resulting text, and return the root message object. fp must support both the readline() and the read() methods on file-like objects. Other than the text mode requirement, this method operates like BytesParser.parse(). | |
doc_11242 |
Set this transformation from the frozen copy of another Affine2DBase object. | |
doc_11243 | Parameters
master – some Tkinter widget to contain the ScrolledCanvas, i.e. a Tkinter-canvas with scrollbars added Used by class Screen, which thus automatically provides a ScrolledCanvas as playground for the turtles. | |
doc_11244 |
Embed the TTF font from the named file into the document. | |
doc_11245 |
Estimate a covariance matrix, given data and weights. Covariance indicates the level to which two variables vary together. If we examine N-dimensional samples, \(X = [x_1, x_2, ... x_N]^T\), then the covariance matrix element \(C_{ij}\) is the covariance of \(x_i\) and \(x_j\). The element \(C_{ii}\) is the variance ... | |
doc_11246 | Return the output speed of the terminal in bits per second. On software terminal emulators it will have a fixed high value. Included for historical reasons; in former times, it was used to write output loops for time delays and occasionally to change interfaces depending on the line speed. | |
doc_11247 |
Exception raised when attempting to use an invalid index key. New in version 1.1.0. | |
doc_11248 | Read and return up to size bytes. If the argument is omitted, None, or negative, data is read and returned until EOF is reached. An empty bytes object is returned if the stream is already at EOF. If the argument is positive, and the underlying raw stream is not interactive, multiple raw reads may be issued to satisfy t... | |
doc_11249 | See Migration guide for more details. tf.compat.v1.raw_ops.AssignSubVariableOp
tf.raw_ops.AssignSubVariableOp(
resource, value, name=None
)
Any ReadVariableOp with a control dependency on this op is guaranteed to see the decremented value or a subsequent newer one.
Args
resource A Tensor of type resourc... | |
doc_11250 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_11251 | Executes a function after this request. This is useful to modify response objects. The function is passed the response object and has to return the same or a new one. Example: @app.route('/')
def index():
@after_this_request
def add_header(response):
response.headers['X-Foo'] = 'Parachute'
retur... | |
doc_11252 | See Migration guide for more details. tf.compat.v1.raw_ops.GuaranteeConst
tf.raw_ops.GuaranteeConst(
input, name=None
)
The runtime is then free to make optimizations based on this. Only accepts value typed tensors as inputs and rejects resource variable handles as input. Returns the input tensor without modific... | |
doc_11253 | skimage.viewer.viewers.CollectionViewer(…) Viewer for displaying image collections.
skimage.viewer.viewers.ImageViewer(image[, …]) Viewer for displaying images.
skimage.viewer.viewers.core ImageViewer class for viewing and interacting with images. CollectionViewer
class skimage.viewer.viewers.CollectionViewer(i... | |
doc_11254 | Applies a 3D transposed convolution operator over an input image composed of several input planes, sometimes also called “deconvolution” This operator supports TensorFloat32. See ConvTranspose3d for details and output shape. Note In some circumstances when given tensors on a CUDA device and using CuDNN, this operator ... | |
doc_11255 |
Return whether tight_layout is called when drawing. | |
doc_11256 | tf.nn.avg_pool2d(
input, ksize, strides, padding, data_format='NHWC', name=None
)
Each entry in output is the mean of the corresponding size ksize window in value.
Args
input A 4-D Tensor of shape [batch, height, width, channels] and type float32, float64, qint8, quint8, or qint32.
ksize An int or l... | |
doc_11257 | Requests post-handshake authentication (PHA) from a TLS 1.3 client. PHA can only be initiated for a TLS 1.3 connection from a server-side socket, after the initial TLS handshake and with PHA enabled on both sides, see SSLContext.post_handshake_auth. The method does not perform a cert exchange immediately. The server-si... | |
doc_11258 |
Return the path of the arrow in the data coordinates. | |
doc_11259 |
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shap... | |
doc_11260 | Determines the reflection state for the specified key. key is an already open key, or one of the predefined HKEY_* constants. Returns True if reflection is disabled. Will generally raise NotImplementedError if executed on a 32-bit operating system. Raises an auditing event winreg.QueryReflectionKey with argument key. | |
doc_11261 |
List of the names of the available styles. This is meant to be read-only. Use reload_library to update. | |
doc_11262 | Construct a PrettyPrinter instance. This constructor understands several keyword parameters. An output stream may be set using the stream keyword; the only method used on the stream object is the file protocol’s write() method. If not specified, the PrettyPrinter adopts sys.stdout. The amount of indentation added for e... | |
doc_11263 | Holds the socket object connecting to the client. | |
doc_11264 |
Given the location and size of the box, return the path of the box around it. Parameters
x0, y0, width, heightfloat
Location and size of the box.
mutation_sizefloat
A reference scale for the mutation. Returns
Path | |
doc_11265 | Return a random int in the range [0, n). | |
doc_11266 | tf.tan Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.tan, tf.compat.v1.tan
tf.math.tan(
x, name=None
)
Given an input tensor, this function computes tangent of every element in the tensor. Input range is (-inf, inf) and output range is (-inf, inf). If input lies outside the... | |
doc_11267 |
Set the hatching pattern hatch can be one of: / - diagonal hatching
\ - back diagonal
| - vertical
- - horizontal
+ - crossed
x - crossed diagonal
o - small circle
O - large circle
. - dots
* - stars
Letters can be combined, in which case all the specified hatchings are done. If same letter repea... | |
doc_11268 | Allows enabling or disabling coroutine origin tracking. When enabled, the cr_origin attribute on coroutine objects will contain a tuple of (filename, line number, function name) tuples describing the traceback where the coroutine object was created, with the most recent call first. When disabled, cr_origin will be None... | |
doc_11269 | See torch.sqrt() | |
doc_11270 | Inserts a pane at the specified position. pos is either the string “end”, an integer index, or the name of a managed child. If child is already managed by the notebook, moves it to the specified position. See Tab Options for the list of available options. | |
doc_11271 |
Returns the current GPU memory occupied by tensors in bytes for a given device. Parameters
device (torch.device or int, optional) – selected device. Returns statistic for the current device, given by current_device(), if device is None (default). Note This is likely less than the amount shown in nvidia-smi since... | |
doc_11272 |
Returns a copy of the calling offset object with n=1 and all other attributes equal. | |
doc_11273 |
Test whether the mouse event occurred in the collection. Returns bool, dict(ind=itemlist), where every item in itemlist contains the event. | |
doc_11274 |
Returns the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of sha... | |
doc_11275 |
Bases: mpl_toolkits.axes_grid1.axes_size._Base Scaled size whose relative part corresponds to the data width of the axes multiplied by the aspect. get_size(renderer)[source]
Examples using mpl_toolkits.axes_grid1.axes_size.AxesX
HBoxDivider demo
Simple Axes Divider 3 | |
doc_11276 | Example: >>> from django.contrib.gis.geos import WKTReader
>>> wkt_r = WKTReader()
>>> wkt_r.read('POINT(1 1)')
<Point object at 0x103a88b50> | |
doc_11277 |
The nanoseconds of the datetime. Examples
>>> datetime_series = pd.Series(
... pd.date_range("2000-01-01", periods=3, freq="ns")
... )
>>> datetime_series
0 2000-01-01 00:00:00.000000000
1 2000-01-01 00:00:00.000000001
2 2000-01-01 00:00:00.000000002
dtype: datetime64[ns]
>>> datetime_series.dt.nanosecond
... | |
doc_11278 | See Migration guide for more details. tf.compat.v1.data.experimental.cardinality
tf.data.experimental.cardinality(
dataset
)
The operation returns the cardinality of dataset. The operation may return tf.data.experimental.INFINITE_CARDINALITY if dataset contains an infinite number of elements or tf.data.experimen... | |
doc_11279 | This class represents a subpart of a MIME message. It is identical to EmailMessage, except that no MIME-Version headers are added when set_content() is called, since sub-parts do not need their own MIME-Version headers. | |
doc_11280 |
Bind function func to event s. Parameters
sstr
One of the following events ids: 'button_press_event' 'button_release_event' 'draw_event' 'key_press_event' 'key_release_event' 'motion_notify_event' 'pick_event' 'resize_event' 'scroll_event' 'figure_enter_event', 'figure_leave_event', 'axes_enter_event', 'axes_l... | |
doc_11281 |
Fit linear model. Parameters
Xndarray of shape (n_samples, n_features)
Training data.
yndarray of shape (n_samples,)
Target values. Returns
selfreturns an instance of self. | |
doc_11282 | rotates a vector around the x-axis by the angle in degrees. rotate_x(angle) -> Vector3 Returns a vector which has the same length as self but is rotated counterclockwise around the x-axis by the given angle in degrees. | |
doc_11283 | The psycopg2 range type to use. | |
doc_11284 |
Test whether the artist contains the mouse event. Parameters
mouseeventmatplotlib.backend_bases.MouseEvent
Returns
containsbool
Whether any values are within the radius.
detailsdict
An artist-specific dictionary of details of the event context, such as which points are contained in the pick radius. Se... | |
doc_11285 |
Get parameters for this estimator. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_11286 |
Draw contour lines on an unstructured triangular grid. The triangulation can be specified in one of two ways; either tricontour(triangulation, ...)
where triangulation is a Triangulation object, or tricontour(x, y, ...)
tricontour(x, y, triangles, ...)
tricontour(x, y, triangles=triangles, ...)
tricontour(x, y, mask... | |
doc_11287 | The comment associated with the ZIP file as a bytes object. If assigning a comment to a ZipFile instance created with mode 'w', 'x' or 'a', it should be no longer than 65535 bytes. Comments longer than this will be truncated. | |
doc_11288 | Get a response object. If one was passed to the exception it’s returned directly. Parameters
environ (Optional[WSGIEnvironment]) – the optional environ for the request. This can be used to modify the response depending on how the request looked like.
scope (Optional[dict]) – Returns
a Response object or a subc... | |
doc_11289 |
Plot the phase spectrum. Compute the phase spectrum (unwrapped angle spectrum) of x. Data is padded to a length of pad_to and the windowing function window is applied to the signal. Parameters
x1-D array or sequence
Array or sequence containing the data
Fsfloat, default: 2
The sampling frequency (samples pe... | |
doc_11290 | Time of last access. | |
doc_11291 |
Bases: matplotlib.ticker.MaxNLocator Parameters
nbinsint or 'auto', default: 10
Maximum number of intervals; one less than max number of ticks. If the string 'auto', the number of bins will be automatically determined based on the length of the axis.
stepsarray-like, optional
Sequence of nice numbers starti... | |
doc_11292 | Get tree status. Returns
tree_stats: tuple of int
(number of trims, number of leaves, number of splits) | |
doc_11293 |
Construct an IntervalArray from an array-like of tuples. Parameters
data:array-like (1-dimensional)
Array of tuples.
closed:{‘left’, ‘right’, ‘both’, ‘neither’}, default ‘right’
Whether the intervals are closed on the left-side, right-side, both or neither.
copy:bool, default False
By-default copy the d... | |
doc_11294 |
True if this transform has a corresponding inverse transform. | |
doc_11295 | boolean that is True if the application will be executed only once in a process lifetime. This is the case for CGI for example, but it’s not guaranteed that the execution only happens one time. | |
doc_11296 | Returns the current maximum field size allowed by the parser. If new_limit is given, this becomes the new limit. | |
doc_11297 |
Retrieve current values for configuration set by set_config Returns
configdict
Keys are parameter names that can be passed to set_config. See also
config_context
Context manager for global scikit-learn configuration.
set_config
Set global scikit-learn configuration. | |
doc_11298 |
Return the Transform applied to the children. | |
doc_11299 | See Migration guide for more details. tf.compat.v1.distribute.experimental_set_strategy
tf.distribute.experimental_set_strategy(
strategy
)
tf.distribute.experimental_set_strategy(strategy1)
f()
tf.distribute.experimental_set_strategy(strategy2)
g()
tf.distribute.experimental_set_strategy(None)
h()
is equivalen... |
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