_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_14400 |
Return the path of this patch. | |
doc_14401 | String comment from the server explaining the function of this cookie, or None. | |
doc_14402 | Start a file with its associated application. When operation is not specified or 'open', this acts like double-clicking the file in Windows Explorer, or giving the file name as an argument to the start command from the interactive command shell: the file is opened with whatever application (if any) its extension is ass... | |
doc_14403 |
Set the artist transform. Parameters
tTransform | |
doc_14404 |
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters
funccallable
The callback function. It must have the signature: def func(artist: Artist) -> Any
where artist is the calling Artist. Return values may exist but are ignored. Returns
int
The observer id ... | |
doc_14405 | Create a compressor object, which can be used to compress data incrementally. For a more convenient way of compressing a single chunk of data, see compress(). The format argument specifies what container format should be used. Possible values are:
FORMAT_XZ: The .xz container format.
This is the default format. ... | |
doc_14406 |
Update the ModuleDict with the key-value pairs from a mapping or an iterable, overwriting existing keys. Note If modules is an OrderedDict, a ModuleDict, or an iterable of key-value pairs, the order of new elements in it is preserved. Parameters
modules (iterable) – a mapping (dictionary) from string to Module, o... | |
doc_14407 |
Evaluate a 3-D Legendre series at points (x, y, z). This function returns the values: \[p(x,y,z) = \sum_{i,j,k} c_{i,j,k} * L_i(x) * L_j(y) * L_k(z)\] The parameters x, y, and z are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars and they must have the same shape after... | |
doc_14408 |
Bases: matplotlib.scale.ScaleBase Provide an arbitrary scale with user-supplied function for the axis. Parameters
axisAxis
The axis for the scale.
functions(callable, callable)
two-tuple of the forward and inverse functions for the scale. The forward function must be monotonic. Both functions must have the ... | |
doc_14409 | New in Django 4.0. The name of the template used when calling as_table(). By default this is 'django/forms/formsets/table.html'. This template renders the formset’s management form and then each form in the formset as per the form’s as_table() method. | |
doc_14410 | ABC for classes that provide the __iter__() and __next__() methods. See also the definition of iterator. | |
doc_14411 | See Migration guide for more details. tf.compat.v1.raw_ops.GeneratorDataset
tf.raw_ops.GeneratorDataset(
init_func_other_args, next_func_other_args, finalize_func_other_args, init_func,
next_func, finalize_func, output_types, output_shapes, name=None
)
Args
init_func_other_args A list of Tensor obje... | |
doc_14412 |
Return the array of values, that are mapped to colors. The base class ScalarMappable does not make any assumptions on the dimensionality and shape of the array. | |
doc_14413 |
Add a Collection to the Axes; return the collection.
Examples using matplotlib.axes.Axes.add_collection
EventCollection Demo
Using span_where
Creating boxes from error bars using PatchCollection
Reference for Matplotlib artists
Line, Poly and RegularPoly Collection with autoscaling... | |
doc_14414 | The __suppress_context__ value from the original exception. | |
doc_14415 | tf.debugging.assert_positive(
x, message=None, summarize=None, name=None
)
This Op checks that x[i] > 0 holds for every element of x. If x is empty, this is trivially satisfied. If x is not positive everywhere, message, as well as the first summarize entries of x are printed, and InvalidArgumentError is raised.
... | |
doc_14416 | Returns a string representation of the internal graph for the forward method. See Interpreting Graphs for details. | |
doc_14417 |
Project the data by using matrix product with the random matrix Parameters
X{ndarray, sparse matrix} of shape (n_samples, n_features)
The input data to project into a smaller dimensional space. Returns
X_new{ndarray, sparse matrix} of shape (n_samples, n_components)
Projected array. | |
doc_14418 | A string containing the version number of the Python interpreter plus additional information on the build number and compiler used. This string is displayed when the interactive interpreter is started. Do not extract version information out of it, rather, use version_info and the functions provided by the platform modu... | |
doc_14419 | class sklearn.neighbors.RadiusNeighborsTransformer(*, mode='distance', radius=1.0, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, n_jobs=1) [source]
Transform X into a (weighted) graph of neighbors nearer than a radius The transformed data is a sparse graph as returned by radius_neighbor... | |
doc_14420 | Return a is b. Tests object identity. | |
doc_14421 |
Bases: matplotlib.patches.ConnectionStyle._Base A line with angle between A and B with armA and armB. One of the arms is extended so that they are connected in a right angle. The length of armA is determined by (armA + fraction x AB distance). Same for armB. Parameters
armAfloat
minimum length of armA
armBflo... | |
doc_14422 | The numeric constant for an uncompressed archive member. | |
doc_14423 | Token value for "//=". | |
doc_14424 | Change the encoding used to return translated messages. Deprecated since version 3.8, will be removed in version 3.10. | |
doc_14425 | Returns True if x is a signaling NaN; otherwise returns False. | |
doc_14426 | Returns an iterator over module buffers, yielding both the name of the buffer as well as the buffer itself. Parameters
prefix (str) – prefix to prepend to all buffer names.
recurse (bool) – if True, then yields buffers of this module and all submodules. Otherwise, yields only buffers that are direct members of thi... | |
doc_14427 | See Migration guide for more details. tf.compat.v1.linalg.qr, tf.compat.v1.qr
tf.linalg.qr(
input, full_matrices=False, name=None
)
Computes the QR decomposition of each inner matrix in tensor such that tensor[..., :, :] = q[..., :, :] * r[..., :,:]) Currently, the gradient for the QR decomposition is well-defin... | |
doc_14428 |
Set the artist transform. Parameters
tTransform | |
doc_14429 | Token value for ">=". | |
doc_14430 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_14431 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_14432 |
Adds a child pruning method to the container. Parameters
method (subclass of BasePruningMethod) – child pruning method to be added to the container. | |
doc_14433 | See Migration guide for more details. tf.compat.v1.math.special.dawsn
tf.math.special.dawsn(
x, name=None
)
Dawson's integral is defined as exp(-x**2) times the integral of exp(t**2) from 0 to x, with the domain of definition all real numbers. Dawson's function is odd. >>> tf.math.special.dawsn([-1., -0.5, 0.5, ... | |
doc_14434 |
Return a list of font names that comprise the font family. | |
doc_14435 | '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_14436 |
Coarse to fine optical flow estimator. The iterative Lucas-Kanade (iLK) solver is applied at each level of the image pyramid. iLK [1] is a fast and robust alternative to TVL1 algorithm although less accurate for rendering flat surfaces and object boundaries (see [2]). Parameters
reference_imagendarray, shape (M, ... | |
doc_14437 | The underlying raw stream (a RawIOBase instance) that BufferedIOBase deals with. This is not part of the BufferedIOBase API and may not exist on some implementations. | |
doc_14438 | Return the day of the week as an integer, where Monday is 0 and Sunday is 6. For example, date(2002, 12, 4).weekday() == 2, a Wednesday. See also isoweekday(). | |
doc_14439 | Recursive implementation used by repr(). This uses the type of obj to determine which formatting method to call, passing it obj and level. The type-specific methods should call repr1() to perform recursive formatting, with level - 1 for the value of level in the recursive call. | |
doc_14440 |
Add text to figure. Parameters
x, yfloat
The position to place the text. By default, this is in figure coordinates, floats in [0, 1]. The coordinate system can be changed using the transform keyword.
sstr
The text string.
fontdictdict, optional
A dictionary to override the default text properties. If no... | |
doc_14441 |
Online computation of mean and std on X for later scaling. All of X is processed as a single batch. This is intended for cases when fit is not feasible due to very large number of n_samples or because X is read from a continuous stream. The algorithm for incremental mean and std is given in Equation 1.5a,b in Chan, T... | |
doc_14442 |
Define the picking behavior of the artist. Parameters
pickerNone or bool or float or callable
This can be one of the following:
None: Picking is disabled for this artist (default). A boolean: If True then picking will be enabled and the artist will fire a pick event if the mouse event is over the artist. A fl... | |
doc_14443 | Is the specified record to be logged? Returns zero for no, nonzero for yes. If deemed appropriate, the record may be modified in-place by this method. | |
doc_14444 | Sends emails to admin users. To customize this behavior, you can subclass the AdminEmailHandler class and override this method. | |
doc_14445 |
Predict using the linear model. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape (n_samples,)
Returns predicted values. | |
doc_14446 | Finally, you can conditionally enable or disable actions on a per-request (and hence per-user basis) by overriding ModelAdmin.get_actions(). This returns a dictionary of actions allowed. The keys are action names, and the values are (function, name, short_description) tuples. For example, if you only want users whose n... | |
doc_14447 | Renders this template with a given context. If context is provided, it must be a dict. If it isn’t provided, the engine will render the template with an empty context. If request is provided, it must be an HttpRequest. Then the engine must make it, as well as the CSRF token, available in the template. How this is achie... | |
doc_14448 | Raise an error. | |
doc_14449 | credits
Objects that when printed or called, print the text of copyright or credits, respectively. | |
doc_14450 | Represents the C float datatype. The constructor accepts an optional float initializer. | |
doc_14451 |
Predict if a particular sample is an outlier or not. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, it will be converted to dtype=np.float32 and if a sparse matrix is provided to a sparse csr_matrix. Returns
is_inlierndarray of shape (n_samples,)
... | |
doc_14452 | The address of the server. (host, port), (path, None) for unix sockets, or None if not known. | |
doc_14453 | class html.parser.HTMLParser(*, convert_charrefs=True)
Create a parser instance able to parse invalid markup. If convert_charrefs is True (the default), all character references (except the ones in script/style elements) are automatically converted to the corresponding Unicode characters. An HTMLParser instance is fe... | |
doc_14454 |
is_superuser
Boolean. Designates that this user has all permissions without explicitly assigning them.
get_user_permissions(obj=None)
Returns a set of permission strings that the user has directly. If obj is passed in, only returns the user permissions for this specific object.
get_group_permissions(obj=N... | |
doc_14455 |
Inverse hyperbolic tangent element-wise. Parameters
xarray_like
Input array.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A ... | |
doc_14456 | See Migration guide for more details. tf.compat.v1.raw_ops.BatchMatrixSolveLs
tf.raw_ops.BatchMatrixSolveLs(
matrix, rhs, l2_regularizer, fast=True, name=None
)
Args
matrix A Tensor. Must be one of the following types: float64, float32.
rhs A Tensor. Must have the same type as matrix.
l2_regul... | |
doc_14457 |
Yield images of the laplacian pyramid formed by the input image. Each layer contains the difference between the downsampled and the downsampled, smoothed image: layer = resize(prev_layer) - smooth(resize(prev_layer))
Note that the first image of the pyramid will be the difference between the original, unscaled image... | |
doc_14458 |
Class implementing the .plot attribute for groupby objects. | |
doc_14459 | A reference was made to an entity which was not defined. | |
doc_14460 |
Return whether the artist is pickable. See also
set_picker, get_picker, pick | |
doc_14461 |
When autoscaling, whether to obey all Artist.sticky_edges. Default is True. Setting this to False ensures that the specified margins will be applied, even if the plot includes an image, for example, which would otherwise force a view limit to coincide with its data limit. The changing this property does not change th... | |
doc_14462 | See Migration guide for more details. tf.compat.v1.math.special.fresnel_sin
tf.math.special.fresnel_sin(
x, name=None
)
The Fresnel sine integral is defined as the integral of sin(t^2) from 0 to x, with the domain of definition all real numbers.
tf.math.special.fresnel_sin([-1., -0.1, 0.1, 1.]).numpy()
array([-... | |
doc_14463 | crypt.METHOD_SHA512
A Modular Crypt Format method with 16 character salt and 86 character hash based on the SHA-512 hash function. This is the strongest method.
crypt.METHOD_SHA256
Another Modular Crypt Format method with 16 character salt and 43 character hash based on the SHA-256 hash function.
crypt.METH... | |
doc_14464 | GNU tar format. | |
doc_14465 |
Return a list of the child Artists of this Artist. | |
doc_14466 | If True, lines starting with “From “ in the body are escaped by putting a > in front of them. This parameter is used when the message is being serialized by a generator. Default: False. New in version 3.5: The mangle_from_ parameter. | |
doc_14467 |
Learn a NMF model for the data X and returns the transformed data. This is more efficient than calling fit followed by transform. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Data matrix to be decomposed
yIgnored
Warray-like of shape (n_samples, n_components)
If init=’custom’, ... | |
doc_14468 |
Convert y using the unit type of the yaxis. If the artist is not in contained in an Axes or if the yaxis does not have units, y itself is returned. | |
doc_14469 |
add(geom)
Adds a geometry to this geometry collection. Not applicable to other geometry types. | |
doc_14470 | tf.compat.v1.distribute.StrategyExtended(
container_strategy
)
Note: For most usage of tf.distribute.Strategy, there should be no need to call these methods, since TensorFlow libraries (such as optimizers) already call these methods when needed on your behalf.
Some common use cases of functions on this page: Lo... | |
doc_14471 |
Compose self with the inverse of other, cancelling identical terms if any: # In general:
A - B == A + B.inverted()
# (but see note regarding frozen transforms below).
# If A "ends with" B (i.e. A == A' + B for some A') we can cancel
# out B:
(A' + B) - B == A'
# Likewise, if B "starts with" A (B = A + B'), we can c... | |
doc_14472 | Sets the weekday (0 is Monday, 6 is Sunday) to start each week. The values MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY, and SUNDAY are provided for convenience. For example, to set the first weekday to Sunday: import calendar
calendar.setfirstweekday(calendar.SUNDAY) | |
doc_14473 | turtle.pd()
turtle.down()
Pull the pen down – drawing when moving. | |
doc_14474 |
Bases: matplotlib.backend_bases.FigureCanvasBase draw()[source]
Render the Figure. It is important that this method actually walk the artist tree even if not output is produced because this will trigger deferred work (like computing limits auto-limits and tick values) that users may want access to before saving t... | |
doc_14475 | An enumeration of SafeUUID which indicates whether the platform generated the UUID in a multiprocessing-safe way. New in version 3.7. | |
doc_14476 | See Migration guide for more details. tf.compat.v1.raw_ops.PriorityQueue
tf.raw_ops.PriorityQueue(
shapes, component_types=[], capacity=-1, container='',
shared_name='', name=None
)
Note that the PriorityQueue requires the first component of any element to be a scalar int64, in addition to the other elements... | |
doc_14477 |
Assign desired index to given axis. Indexes for column or row labels can be changed by assigning a list-like or Index. Parameters
labels:list-like, Index
The values for the new index.
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
The axis to update. The value 0 identifies the rows, and 1 identifies the col... | |
doc_14478 |
Return a flattened array. Refer to numpy.ravel for full documentation. See also numpy.ravel
equivalent function ndarray.flat
a flat iterator on the array. | |
doc_14479 |
Transform the given indicator matrix into label sets. Parameters
yt{ndarray, sparse matrix} of shape (n_samples, n_classes)
A matrix containing only 1s ands 0s. Returns
ylist of tuples
The set of labels for each sample such that y[i] consists of classes_[j] for each yt[i, j] == 1. | |
doc_14480 |
Resolve and ‘.’ from path. | |
doc_14481 |
Returns True if the function passed in is a handler for a method or property belonging to torch.Tensor, as passed into __torch_function__. Note For properties, their __get__ method must be passed in. This may be needed, in particular, for the following reasons: Methods/properties sometimes don’t contain a __module... | |
doc_14482 | Start the process’s activity. This must be called at most once per process object. It arranges for the object’s run() method to be invoked in a separate process. | |
doc_14483 | tf.compat.v1.layers.Conv3DTranspose(
filters, kernel_size, strides=(1, 1, 1), padding='valid',
data_format='channels_last', activation=None, use_bias=True,
kernel_initializer=None, bias_initializer=tf.zeros_initializer(),
kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None,
ker... | |
doc_14484 | Copy infile to outfile through the pipe. | |
doc_14485 | sklearn.utils.check_random_state(seed) [source]
Turn seed into a np.random.RandomState instance Parameters
seedNone, int or instance of RandomState
If seed is None, return the RandomState singleton used by np.random. If seed is an int, return a new RandomState instance seeded with seed. If seed is already a Ran... | |
doc_14486 | Base class for all store implementations, such as the 3 provided by PyTorch distributed: (TCPStore, FileStore, and HashStore). | |
doc_14487 | The year, month and day arguments are required. tzinfo may be None, or an instance of a tzinfo subclass. The remaining arguments must be integers in the following ranges:
MINYEAR <= year <= MAXYEAR,
1 <= month <= 12,
1 <= day <= number of days in the given month and year,
0 <= hour < 24,
0 <= minute < 60,
0 <= s... | |
doc_14488 | Add a callback to be run when the Task is done. This method should only be used in low-level callback-based code. See the documentation of Future.add_done_callback() for more details. | |
doc_14489 |
Wrap strings in Series/Index at specified line width. This method has the same keyword parameters and defaults as textwrap.TextWrapper. Parameters
width:int
Maximum line width.
expand_tabs:bool, optional
If True, tab characters will be expanded to spaces (default: True).
replace_whitespace:bool, optional
... | |
doc_14490 |
Keymap to associate with this tool. list[str]: List of keys that will trigger this tool when a keypress event is emitted on self.figure.canvas. | |
doc_14491 | Replaces the root element for this tree. This discards the current contents of the tree, and replaces it with the given element. Use with care. element is an element instance. | |
doc_14492 |
Get the Torch Hub cache directory used for storing downloaded models & weights. If set_dir() is not called, default path is $TORCH_HOME/hub where environment variable $TORCH_HOME defaults to $XDG_CACHE_HOME/torch. $XDG_CACHE_HOME follows the X Design Group specification of the Linux filesystem layout, with a default ... | |
doc_14493 | See Migration guide for more details. tf.compat.v1.raw_ops.ScatterNdMin
tf.raw_ops.ScatterNdMin(
ref, indices, updates, use_locking=False, name=None
)
Args
ref A mutable Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bflo... | |
doc_14494 | mmap.MADV_RANDOM
mmap.MADV_SEQUENTIAL
mmap.MADV_WILLNEED
mmap.MADV_DONTNEED
mmap.MADV_REMOVE
mmap.MADV_DONTFORK
mmap.MADV_DOFORK
mmap.MADV_HWPOISON
mmap.MADV_MERGEABLE
mmap.MADV_UNMERGEABLE
mmap.MADV_SOFT_OFFLINE
mmap.MADV_HUGEPAGE
mmap.MADV_NOHUGEPAGE
mmap.MADV_DONTDUMP
mmap.MADV_DODUMP
m... | |
doc_14495 | acquires a buffer object for the pixels of the Surface. get_buffer() -> BufferProxy Return a buffer object for the pixels of the Surface. The buffer can be used for direct pixel access and manipulation. Surface pixel data is represented as an unstructured block of memory, with a start address and length in bytes. The... | |
doc_14496 | This visitor calls visit() on all children of the node. Note that child nodes of nodes that have a custom visitor method won’t be visited unless the visitor calls generic_visit() or visits them itself. | |
doc_14497 | See Migration guide for more details. tf.compat.v1.raw_ops.OnesLike
tf.raw_ops.OnesLike(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int8, uint8, int16, uint16, int32, int64, complex64, complex128, bool. a tensor of type T.
name A name for ... | |
doc_14498 | See torch.sin() | |
doc_14499 | Reset the decoder to the initial state. |
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