_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_7400 |
On close disconnect all artists and events from ImageViewer. Note that artists must be appended to self.artists. | |
doc_7401 | Repr.maxlist
Repr.maxtuple
Repr.maxset
Repr.maxfrozenset
Repr.maxdeque
Repr.maxarray
Limits on the number of entries represented for the named object type. The default is 4 for maxdict, 5 for maxarray, and 6 for the others. | |
doc_7402 | See Migration guide for more details. tf.compat.v1.raw_ops.Recv
tf.raw_ops.Recv(
tensor_type, tensor_name, send_device, send_device_incarnation, recv_device,
client_terminated=False, name=None
)
Args
tensor_type A tf.DType.
tensor_name A string. The name of the tensor to receive.
send_devi... | |
doc_7403 | The exception raised when Expat reports an error. See section ExpatError Exceptions for more information on interpreting Expat errors. | |
doc_7404 |
Return whether the artist uses clipping. | |
doc_7405 |
Set the label position (top or bottom) Parameters
position{'top', 'bottom'}
Examples using matplotlib.axis.Axis.set_label_position
Title positioning | |
doc_7406 |
3D fluorescence microscopy image of cells. The returned data is a 3D multichannel array with dimensions provided in (z, c, y, x) order. Each voxel has a size of (0.29 0.26 0.26) micrometer. Channel 0 contains cell membranes, channel 1 contains nuclei. Returns
cells3d: (60, 2, 256, 256) uint16 ndarray
The volumetr... | |
doc_7407 |
template_name: 'django/forms/widgets/file.html'
Renders as: <input type="file" ...> | |
doc_7408 |
The hours of the datetime. Examples
>>> datetime_series = pd.Series(
... pd.date_range("2000-01-01", periods=3, freq="h")
... )
>>> datetime_series
0 2000-01-01 00:00:00
1 2000-01-01 01:00:00
2 2000-01-01 02:00:00
dtype: datetime64[ns]
>>> datetime_series.dt.hour
0 0
1 1
2 2
dtype: int64 | |
doc_7409 |
Prepares a copy of the model for quantization calibration or quantization-aware training and converts it to quantized version. Quantization configuration should be assigned preemptively to individual submodules in .qconfig attribute. Parameters
model – input model to be modified in-place
mapping – dictionary tha... | |
doc_7410 |
Element wise squaring of array-likes and sparse matrices. Parameters
X{array-like, ndarray, sparse matrix}
copybool, default=True
Whether to create a copy of X and operate on it or to perform inplace computation (default behaviour). Returns
X ** 2element wise square | |
doc_7411 |
Create a new AxesLocator for the specified cell. Parameters
nx, nx1int
Integers specifying the column-position of the cell. When nx1 is None, a single nx-th column is specified. Otherwise location of columns spanning between nx to nx1 (but excluding nx1-th column) is specified. | |
doc_7412 |
Set the font stretch (horizontal condensation or expansion). Parameters
stretch{a numeric value in range 0-1000, 'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'}
See also font_manager.FontProperties.set_stretch | |
doc_7413 | An object that wraps OS processes created by the create_subprocess_exec() and create_subprocess_shell() functions. This class is designed to have a similar API to the subprocess.Popen class, but there are some notable differences: unlike Popen, Process instances do not have an equivalent to the poll() method; the comm... | |
doc_7414 | Return True if the file system for directory is case-insensitive. | |
doc_7415 | Recursively yield all descendant nodes in the tree starting at node (including node itself), in no specified order. This is useful if you only want to modify nodes in place and don’t care about the context. | |
doc_7416 |
Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay). The Laplace distribution is similar to the Gaussian/normal distribution, but is sharper at the peak and has fatter tails. It represents the difference between two independent, identically distributed ... | |
doc_7417 |
Remove “small” “trailing” coefficients from a polynomial. “Small” means “small in absolute value” and is controlled by the parameter tol; “trailing” means highest order coefficient(s), e.g., in [0, 1, 1, 0, 0] (which represents 0 + x + x**2 + 0*x**3 + 0*x**4) both the 3-rd and 4-th order coefficients would be “trimme... | |
doc_7418 |
Return a short string version of the tick value. Defaults to the position-independent long value. | |
doc_7419 |
Add a Gouraud triangle shading. Parameters
pointsnp.ndarray
Triangle vertices, shape (n, 3, 2) where n = number of triangles, 3 = vertices, 2 = x, y.
colorsnp.ndarray
Vertex colors, shape (n, 3, 1) or (n, 3, 4) as with points, but last dimension is either (gray,) or (r, g, b, alpha). Returns
Name, Refe... | |
doc_7420 | Many-to-many field to Permission: group.permissions.set([permission_list])
group.permissions.add(permission, permission, ...)
group.permissions.remove(permission, permission, ...)
group.permissions.clear() | |
doc_7421 | '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_7422 | See Migration guide for more details. tf.compat.v1.raw_ops.MatMul
tf.raw_ops.MatMul(
a, b, transpose_a=False, transpose_b=False, name=None
)
The inputs must be two-dimensional matrices and the inner dimension of "a" (after being transposed if transpose_a is true) must match the outer dimension of "b" (after bein... | |
doc_7423 | This bytearray class method returns bytearray object, decoding the given string object. The string must contain two hexadecimal digits per byte, with ASCII whitespace being ignored. >>> bytearray.fromhex('2Ef0 F1f2 ')
bytearray(b'.\xf0\xf1\xf2')
Changed in version 3.7: bytearray.fromhex() now skips all ASCII whitesp... | |
doc_7424 |
Return the keymap associated with the specified tool. Parameters
namestr
Name of the Tool. Returns
list of str
List of keys associated with the tool. | |
doc_7425 | See Migration guide for more details. tf.compat.v1.raw_ops.Placeholder
tf.raw_ops.Placeholder(
dtype, shape=None, name=None
)
N.B. This operation will fail with an error if it is executed. It is intended as a way to represent a value that will always be fed, and to provide attrs that enable the fed value to be c... | |
doc_7426 | A hook for customizing the deletion process of the delete_view() and the “delete selected” action. The objs argument is a homogeneous iterable of objects (a QuerySet or a list of model instances) to be deleted, and request is the HttpRequest. This method must return a 4-tuple of (deleted_objects, model_count, perms_nee... | |
doc_7427 |
Compute the qth quantile of the data along the specified axis, while ignoring nan values. Returns the qth quantile(s) of the array elements. New in version 1.15.0. Parameters
aarray_like
Input array or object that can be converted to an array, containing nan values to be ignored
qarray_like of float
Quant... | |
doc_7428 |
Alias for set_antialiased. | |
doc_7429 |
Return the Transform instance used by this artist. | |
doc_7430 | tf.metrics Classes class AUC: Computes the approximate AUC (Area under the curve) via a Riemann sum. class Accuracy: Calculates how often predictions equal labels. class BinaryAccuracy: Calculates how often predictions match binary labels. class BinaryCrossentropy: Computes the crossentropy metric between the labels a... | |
doc_7431 |
Alias for set_antialiased. | |
doc_7432 | See Migration guide for more details. tf.compat.v1.raw_ops.SoftplusGrad
tf.raw_ops.SoftplusGrad(
gradients, features, name=None
)
Args
gradients A Tensor. Must be one of the following types: half, bfloat16, float32, float64. The backpropagated gradients to the corresponding softplus operation.
featu... | |
doc_7433 |
Shift the bits of an integer to the left. Bits are shifted to the left by appending x2 0s at the right of x1. Since the internal representation of numbers is in binary format, this operation is equivalent to multiplying x1 by 2**x2. Parameters
x1array_like of integer type
Input values.
x2array_like of integer... | |
doc_7434 |
Return library info for the given package. Parameters
pkgnamestr
Name of the package (should match the name of the .ini file, without the extension, e.g. foo for the file foo.ini).
dirssequence, optional
If given, should be a sequence of additional directories where to look for npy-pkg-config files. Those d... | |
doc_7435 | Return a list of 2-tuples containing all variables and their values in the context object. | |
doc_7436 | Checks for an ASCII alphanumeric character; it is equivalent to isalpha(c) or
isdigit(c). | |
doc_7437 |
Return the Axes bounding box in display space; args and kwargs are empty. This bounding box does not include the spines, ticks, ticklables, or other labels. For a bounding box including these elements use get_tightbbox. See also matplotlib.axes.Axes.get_tightbbox
matplotlib.axis.Axis.get_tightbbox
matplotlib.spines... | |
doc_7438 |
Compute the L1 distances between the vectors in X and Y. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples, n_features)
Yarray-like of shape (n_samples, n_features)
Returns
distancesndarray of shape (n_samples,) | |
doc_7439 |
Set a.flat[n] = values[n] for all n in indices. Refer to numpy.put for full documentation. See also numpy.put
equivalent function | |
doc_7440 | Record that the package named pkg_name can be found in the specified path. | |
doc_7441 |
Draw samples from a standard Student’s t distribution with df degrees of freedom. A special case of the hyperbolic distribution. As df gets large, the result resembles that of the standard normal distribution (standard_normal). Parameters
dffloat or array_like of floats
Degrees of freedom, must be > 0.
sizein... | |
doc_7442 |
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_7443 | Returns the quantization scheme of a given QTensor. | |
doc_7444 | '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_7445 | tf.experimental.numpy.asarray(
a, dtype=None
)
Unsupported arguments: order. See the NumPy documentation for numpy.asarray. | |
doc_7446 | class sklearn.metrics.ConfusionMatrixDisplay(confusion_matrix, *, display_labels=None) [source]
Confusion Matrix visualization. It is recommend to use plot_confusion_matrix to create a ConfusionMatrixDisplay. All parameters are stored as attributes. Read more in the User Guide. Parameters
confusion_matrixndarray ... | |
doc_7447 | Interface for associating a SAX event with a document location. A locator object will return valid results only during calls to DocumentHandler methods; at any other time, the results are unpredictable. If information is not available, methods may return None. | |
doc_7448 | Like gmtime() but converts to local time. If secs is not provided or None, the current time as returned by time() is used. The dst flag is set to 1 when DST applies to the given time. | |
doc_7449 | tf.compat.v1.logging.log_if(
level, msg, condition, *args
) | |
doc_7450 |
Alias for get_facecolor. | |
doc_7451 |
The column labels of the DataFrame. | |
doc_7452 | turtle.seth(to_angle)
Parameters
to_angle – a number (integer or float) Set the orientation of the turtle to to_angle. Here are some common directions in degrees:
standard mode logo mode
0 - east 0 - north
90 - north 90 - east
180 - west 180 - south
270 - south 270 - west >>> turtle.setheading(90)
>... | |
doc_7453 |
Called when this tool gets used. This method is called by ToolManager.trigger_tool. Parameters
eventEvent
The canvas event that caused this tool to be called.
senderobject
Object that requested the tool to be triggered.
dataobject
Extra data. | |
doc_7454 |
Fit to data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters
Xarray-like of shape (n_samples, n_features)
Input samples.
yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for uns... | |
doc_7455 | See Migration guide for more details. tf.compat.v1.raw_ops.CTCLossV2
tf.raw_ops.CTCLossV2(
inputs, labels_indices, labels_values, sequence_length,
preprocess_collapse_repeated=False, ctc_merge_repeated=True,
ignore_longer_outputs_than_inputs=False, name=None
)
the gradient. This class performs the softma... | |
doc_7456 | See Migration guide for more details. tf.compat.v1.app.flags.DEFINE_spaceseplist
tf.compat.v1.flags.DEFINE_spaceseplist(
name, default, help, comma_compat=False, flag_values=_flagvalues.FLAGS, **args
)
Any whitespace can be used as a separator.
Args
name str, the flag name.
default list|str|None, ... | |
doc_7457 | tf.keras.layers.experimental.preprocessing.Normalization(
axis=-1, dtype=None, mean=None, variance=None, **kwargs
)
This layer will coerce its inputs into a distribution centered around 0 with standard deviation 1. It accomplishes this by precomputing the mean and variance of the data, and calling (input-mean)/sqr... | |
doc_7458 | A tuple giving access to the path’s various components: >>> p = PurePath('/usr/bin/python3')
>>> p.parts
('/', 'usr', 'bin', 'python3')
>>> p = PureWindowsPath('c:/Program Files/PSF')
>>> p.parts
('c:\\', 'Program Files', 'PSF')
(note how the drive and local root are regrouped in a single part) | |
doc_7459 |
Creates a criterion that measures the loss given input tensors x1x_1 , x2x_2 and a Tensor label yy with values 1 or -1. This is used for measuring whether two inputs are similar or dissimilar, using the cosine distance, and is typically used for learning nonlinear embeddings or semi-supervised learning. The loss fu... | |
doc_7460 | Total size of memory blocks in bytes (int). | |
doc_7461 |
Alias for set_facecolor. | |
doc_7462 | Break internal references within the DOM so that it will be garbage collected on versions of Python without cyclic GC. Even when cyclic GC is available, using this can make large amounts of memory available sooner, so calling this on DOM objects as soon as they are no longer needed is good practice. This only needs to ... | |
doc_7463 | Return a string representing the path to which the symbolic link points. The result may be either an absolute or relative pathname; if it is relative, it may be converted to an absolute pathname using os.path.join(os.path.dirname(path), result). If the path is a string object (directly or indirectly through a PathLike ... | |
doc_7464 | Django view for the model instance editing page. See note below. | |
doc_7465 |
Return self&=value. | |
doc_7466 |
Construct Python bytes containing the raw data bytes in the array. Constructs Python bytes showing a copy of the raw contents of data memory. The bytes object is produced in C-order by default. This behavior is controlled by the order parameter. New in version 1.9.0. Parameters
order{‘C’, ‘F’, ‘A’}, optional
... | |
doc_7467 | Raised when a mapping (dictionary) key is not found in the set of existing keys. | |
doc_7468 | Wake up all threads waiting on this condition. This method acts like notify(), but wakes up all waiting threads instead of one. If the calling thread has not acquired the lock when this method is called, a RuntimeError is raised. | |
doc_7469 |
Alias for field number 4 | |
doc_7470 |
Draw the Artist (and its children) using the given renderer. This has no effect if the artist is not visible (Artist.get_visible returns False). Parameters
rendererRendererBase subclass.
Notes This method is overridden in the Artist subclasses. | |
doc_7471 | See Migration guide for more details. tf.compat.v1.random.poisson
tf.compat.v1.random_poisson(
lam, shape, dtype=tf.dtypes.float32, seed=None, name=None
)
lam is the rate parameter describing the distribution(s). Example: samples = tf.random.poisson([0.5, 1.5], [10])
# samples has shape [10, 2], where each slice... | |
doc_7472 | See Migration guide for more details. tf.compat.v1.app.flags.BooleanFlag
tf.compat.v1.flags.BooleanFlag(
name, default, help, short_name=None, **args
)
Boolean flags do not take any arguments, and their value is either True (1) or False (0). The false value is specified on the command line by prepending the word... | |
doc_7473 | The width of the source in pixels (X-axis). >>> GDALRaster({'width': 10, 'height': 20, 'srid': 4326}).width
10 | |
doc_7474 |
Reset the Styler, removing any previously applied styles. Returns None. | |
doc_7475 |
Alias for get_linewidth. | |
doc_7476 | The serialization function used when json is passed. | |
doc_7477 | Sets the module in evaluation mode. This has any effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation mode, if they are affected, e.g. Dropout, BatchNorm, etc. This is equivalent with self.train(False). Returns
self Return type
Module | |
doc_7478 | If buffer_text is enabled, the number of bytes stored in the buffer. These bytes represent UTF-8 encoded text. This attribute has no meaningful interpretation when buffer_text is false. | |
doc_7479 | Set the instance’s debugging level. This controls the amount of debugging output printed. The default, 0, produces no debugging output. A value of 1 produces a moderate amount of debugging output, generally a single line per request or response. A value of 2 or higher produces the maximum amount of debugging output, lo... | |
doc_7480 | Return the least common multiple of the specified integer arguments. If all arguments are nonzero, then the returned value is the smallest positive integer that is a multiple of all arguments. If any of the arguments is zero, then the returned value is 0. lcm() without arguments returns 1. New in version 3.9. | |
doc_7481 | Standard error stream (StreamReader) or None if the process was created with stderr=None. | |
doc_7482 |
Scalar method identical to the corresponding array attribute. Please see ndarray.round. | |
doc_7483 |
Empty masked array with all elements masked. Return an empty masked array of the given shape and dtype, where all the data are masked. Parameters
shapetuple
Shape of the required MaskedArray.
dtypedtype, optional
Data type of the output. Returns
aMaskedArray
A masked array with all data masked. ... | |
doc_7484 | Sets the coordinates of the vector. update() -> None update(int) -> None update(float) -> None update(Vector3) -> None update(x, y, z) -> None update((x, y, z)) -> None Sets coordinates x, y, and z in place. New in pygame 1.9.5. | |
doc_7485 |
Return a view of the array with axis1 and axis2 interchanged. Refer to numpy.swapaxes for full documentation. See also numpy.swapaxes
equivalent function | |
doc_7486 | sklearn.metrics.homogeneity_completeness_v_measure(labels_true, labels_pred, *, beta=1.0) [source]
Compute the homogeneity and completeness and V-Measure scores at once. Those metrics are based on normalized conditional entropy measures of the clustering labeling to evaluate given the knowledge of a Ground Truth clas... | |
doc_7487 | See Migration guide for more details. tf.compat.v1.raw_ops.RandomUniformInt
tf.raw_ops.RandomUniformInt(
shape, minval, maxval, seed=0, seed2=0, name=None
)
The generated values are uniform integers in the range [minval, maxval). The lower bound minval is included in the range, while the upper bound maxval is ex... | |
doc_7488 |
Create a 3D filled contour plot. Parameters
X, Y, Zarray-like
Input data. See contourf for acceptable data shapes.
zdir{'x', 'y', 'z'}, default: 'z'
The direction to use.
offsetfloat, optional
If specified, plot a projection of the contour lines at this position in a plane normal to zdir.
dataindexabl... | |
doc_7489 |
Transforms the image samples in X into a matrix of patch data. Parameters
Xndarray of shape (n_samples, image_height, image_width) or (n_samples, image_height, image_width, n_channels)
Array of images from which to extract patches. For color images, the last dimension specifies the channel: a RGB image would ha... | |
doc_7490 |
Set the CapStyle for the collection (for all its elements). Parameters
csCapStyle or {'butt', 'projecting', 'round'} | |
doc_7491 | Parse an IMAP4 INTERNALDATE string and return corresponding local time. The return value is a time.struct_time tuple or None if the string has wrong format. | |
doc_7492 |
Alias for get_linewidth. | |
doc_7493 | Return a reader object which will iterate over lines in the given csvfile. csvfile can be any object which supports the iterator protocol and returns a string each time its __next__() method is called — file objects and list objects are both suitable. If csvfile is a file object, it should be opened with newline=''. 1 ... | |
doc_7494 |
Applies the Softmin function to an n-dimensional input Tensor rescaling them so that the elements of the n-dimensional output Tensor lie in the range [0, 1] and sum to 1. Softmin is defined as: Softmin(xi)=exp(−xi)∑jexp(−xj)\text{Softmin}(x_{i}) = \frac{\exp(-x_i)}{\sum_j \exp(-x_j)}
Shape:
Input: (∗)(*) whe... | |
doc_7495 | The state of the font's oblique style flag oblique -> bool Gets or sets whether the font will be rendered as oblique. This default style value will be used for all text rendering and size calculations unless overridden specifically in a render or get_rect() call, via the style parameter. The oblique style is only sup... | |
doc_7496 |
True if the eventcollection is horizontal, False if vertical. | |
doc_7497 | URL name: password_reset_complete Presents a view which informs the user that the password has been successfully changed. Attributes:
template_name
The full name of a template to display the view. Defaults to registration/password_reset_complete.html.
extra_context
A dictionary of context data that will be ad... | |
doc_7498 |
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_7499 | Token value for "@=". |
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