_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_22200 | Called before the request is dispatched. Calls url_value_preprocessors registered with the app and the current blueprint (if any). Then calls before_request_funcs registered with the app and the blueprint. If any before_request() handler returns a non-None value, the value is handled as if it was the return value from ... | |
doc_22201 |
Graph of the pixel-to-pixel gradient connections Edges are weighted with the gradient values. Read more in the User Guide. Parameters
imgndarray of shape (height, width) or (height, width, channel)
2D or 3D image.
maskndarray of shape (height, width) or (height, width, channel), dtype=bool, default=None
An ... | |
doc_22202 |
Bases: object A disjoint-set data structure. Objects can be joined using join(), tested for connectedness using joined(), and all disjoint sets can be retrieved by using the object as an iterator. The objects being joined must be hashable and weak-referenceable. Examples >>> from matplotlib.cbook import Grouper
>>> c... | |
doc_22203 | class sklearn.linear_model.OrthogonalMatchingPursuitCV(*, copy=True, fit_intercept=True, normalize=True, max_iter=None, cv=None, n_jobs=None, verbose=False) [source]
Cross-validated Orthogonal Matching Pursuit model (OMP). See glossary entry for cross-validation estimator. Read more in the User Guide. Parameters
... | |
doc_22204 | Return the value of the Content-Type header’s parameter param as a string. If the message has no Content-Type header or if there is no such parameter, then failobj is returned (defaults to None). Optional header if given, specifies the message header to use instead of Content-Type. Parameter keys are always compared ca... | |
doc_22205 | list of the Sprites this Group contains sprites() -> sprite_list Return a list of all the Sprites this group contains. You can also get an iterator from the group, but you cannot iterate over a Group while modifying it. | |
doc_22206 |
Call this whenever the mappable is changed to notify all the callbackSM listeners to the 'changed' signal. | |
doc_22207 | A debugging hook. If debuglevel is greater than zero, messages will be printed to stdout as the response is read and parsed. | |
doc_22208 | A list of strings representing the recognized file suffixes for bytecode modules (including the leading dot). New in version 3.3. Changed in version 3.5: The value is no longer dependent on __debug__. | |
doc_22209 | Test for syntax errors in statement by attempting to compile statement. testcase is the unittest instance for the test. errtext is the regular expression which should match the string representation of the raised SyntaxError. If lineno is not None, compares to the line of the exception. If offset is not None, compares ... | |
doc_22210 | Return True if the argument is a normal finite number. Return False if the argument is zero, subnormal, infinite or a NaN. | |
doc_22211 | There is no dedicated literal syntax for bytearray objects, instead they are always created by calling the constructor: Creating an empty instance: bytearray()
Creating a zero-filled instance with a given length: bytearray(10)
From an iterable of integers: bytearray(range(20))
Copying existing binary data via the b... | |
doc_22212 |
Day of the week the period lies in, with Monday=0 and Sunday=6. If the period frequency is lower than daily (e.g. hourly), and the period spans over multiple days, the day at the start of the period is used. If the frequency is higher than daily (e.g. monthly), the last day of the period is used. Returns
int
Day ... | |
doc_22213 |
Convert series to series of this class. The series is expected to be an instance of some polynomial series of one of the types supported by by the numpy.polynomial module, but could be some other class that supports the convert method. New in version 1.7.0. Parameters
seriesseries
The series instance to be co... | |
doc_22214 |
Bases: unittest.case.TestCase A wrapper for unittest.TestCase that includes cleanup operations. Create an instance of the class that will use the named test method when executed. Raises a ValueError if the instance does not have a method with the specified name. classmethodsetUpClass()[source]
Hook method for set... | |
doc_22215 | This is a compatibility alias for the builtin BlockingIOError exception. | |
doc_22216 | Computes the N dimensional discrete Fourier transform of input. Note The Fourier domain representation of any real signal satisfies the Hermitian property: X[i_1, ..., i_n] = conj(X[-i_1, ..., -i_n]). This function always returns all positive and negative frequency terms even though, for real inputs, half of these val... | |
doc_22217 | See Migration guide for more details. tf.compat.v1.linalg.expm
tf.linalg.expm(
input, name=None
)
$$exp(A) = \sum_{n=0}^\infty A^n/n!$$ The exponential is computed using a combination of the scaling and squaring method and the Pade approximation. Details can be found in: Nicholas J. Higham, "The scaling and sq... | |
doc_22218 |
Gets the bit generator instance used by the generator Returns
bit_generatorBitGenerator
The bit generator instance used by the generator | |
doc_22219 |
Get the z-label text string. | |
doc_22220 | Return True if the path points to a block device (or a symbolic link pointing to a block device), False if it points to another kind of file. False is also returned if the path doesn’t exist or is a broken symlink; other errors (such as permission errors) are propagated. | |
doc_22221 | See torch.conj() | |
doc_22222 | Try to guess which module an object was defined in. | |
doc_22223 | Returns the set of permission strings the user_obj has from the permissions of the groups they belong. Returns an empty set if is_anonymous or is_active is False. | |
doc_22224 | alias of torch.distributions.constraints._LessThan | |
doc_22225 |
Pipe-based animated gif. Frames are streamed directly to ImageMagick via a pipe and written in a single pass. Parameters
fpsint, default: 5
Movie frame rate (per second).
codecstr or None, default: rcParams["animation.codec"] (default: 'h264')
The codec to use.
bitrateint, default: rcParams["animation.bit... | |
doc_22226 |
Color Wheel. Returns
colorwheel(370, 371, 3) uint8 image
A colorwheel. | |
doc_22227 | See Migration guide for more details. tf.compat.v1.raw_ops.WholeFileReaderV2
tf.raw_ops.WholeFileReaderV2(
container='', shared_name='', name=None
)
To use, enqueue filenames in a Queue. The output of ReaderRead will be a filename (key) and the contents of that file (value).
Args
container An optional s... | |
doc_22228 | check if the display is receiving mouse input get_focused() -> bool Returns true when pygame is receiving mouse input events (or, in windowing terminology, is "active" or has the "focus"). This method is most useful when working in a window. By contrast, in full-screen mode, this method always returns true. Note: und... | |
doc_22229 |
Return the figure height in inches. | |
doc_22230 | stat.FILE_ATTRIBUTE_COMPRESSED
stat.FILE_ATTRIBUTE_DEVICE
stat.FILE_ATTRIBUTE_DIRECTORY
stat.FILE_ATTRIBUTE_ENCRYPTED
stat.FILE_ATTRIBUTE_HIDDEN
stat.FILE_ATTRIBUTE_INTEGRITY_STREAM
stat.FILE_ATTRIBUTE_NORMAL
stat.FILE_ATTRIBUTE_NOT_CONTENT_INDEXED
stat.FILE_ATTRIBUTE_NO_SCRUB_DATA
stat.FILE_ATTRIBUTE... | |
doc_22231 |
Convert columns to best possible dtypes using dtypes supporting pd.NA. New in version 1.0.0. Parameters
infer_objects:bool, default True
Whether object dtypes should be converted to the best possible types.
convert_string:bool, default True
Whether object dtypes should be converted to StringDtype().
con... | |
doc_22232 | Base class for all other exceptions from this module. New in version 3.3. | |
doc_22233 |
Clear the current spine. | |
doc_22234 |
Set vmin and vmax. | |
doc_22235 |
Return frame object from call stack with given level. | |
doc_22236 | On POSIX systems where Python was built with the standard configure script, this contains the ABI flags as specified by PEP 3149. Changed in version 3.8: Default flags became an empty string (m flag for pymalloc has been removed). New in version 3.2. | |
doc_22237 |
Casts all floating point parameters and buffers to bfloat16 datatype. Returns
self Return type
Module | |
doc_22238 | See Migration guide for more details. tf.compat.v1.raw_ops.ConcatOffset
tf.raw_ops.ConcatOffset(
concat_dim, shape, name=None
)
For example: # 'x' is [2, 2, 7]
# 'y' is [2, 3, 7]
# 'z' is [2, 5, 7]
concat_offset(2, [x, y, z]) => [0, 0, 0], [0, 2, 0], [0, 5, 0]
This is typically used by gradient computations for... | |
doc_22239 |
Return a string representation of data. Note This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. The default implementation converts ints and floats and arrays of ints and floats into a comma-separated string enclosed in squ... | |
doc_22240 |
Set the rectangle height. Parameters
hfloat | |
doc_22241 | """
May be applied as a `default=...` value on a serializer field.
Returns the current user.
"""
requires_context = True
def __call__(self, serializer_field):
return serializer_field.context['request'].user
When serializing the instance, default will be used if the object attribute or ... | |
doc_22242 | Block for delay seconds. If result is provided, it is returned to the caller when the coroutine completes. sleep() always suspends the current task, allowing other tasks to run. Deprecated since version 3.8, will be removed in version 3.10: The loop parameter. Example of coroutine displaying the current date every se... | |
doc_22243 |
Get the navigation toolbar button status: 'PAN', 'ZOOM', or None. | |
doc_22244 |
Return the right endpoints of each Interval in the IntervalArray as an Index. | |
doc_22245 | Write XML to the writer object. The writer receives texts but not bytes as input, it should have a write() method which matches that of the file object interface. The indent parameter is the indentation of the current node. The addindent parameter is the incremental indentation to use for subnodes of the current one. T... | |
doc_22246 | draw an ellipse ellipse(surface, color, rect) -> Rect ellipse(surface, color, rect, width=0) -> Rect Draws an ellipse on the given surface.
Parameters:
surface (Surface) -- surface to draw on
color (Color or int or tuple(int, int, int, [int])) -- color to draw with, the alpha value is optional if using a tup... | |
doc_22247 | This static method returns a translation table usable for str.translate(). If there is only one argument, it must be a dictionary mapping Unicode ordinals (integers) or characters (strings of length 1) to Unicode ordinals, strings (of arbitrary lengths) or None. Character keys will then be converted to ordinals. If the... | |
doc_22248 | Translate a socket address sockaddr into a 2-tuple (host, port). Depending on the settings of flags, the result can contain a fully-qualified domain name or numeric address representation in host. Similarly, port can contain a string port name or a numeric port number. For IPv6 addresses, %scope_id is appended to the h... | |
doc_22249 | Returns the shape over which parameters are batched. | |
doc_22250 |
Set the artist's clip Bbox. Parameters
clipboxBbox | |
doc_22251 | See Migration guide for more details. tf.compat.v1.raw_ops.InvGrad
tf.raw_ops.InvGrad(
y, dy, name=None
)
Specifically, grad = -dy * y*y, where y = 1/x, and dy is the corresponding input gradient.
Args
y A Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, complex12... | |
doc_22252 | Class used to temporarily set or unset environment variables. Instances can be used as a context manager and have a complete dictionary interface for querying/modifying the underlying os.environ. After exit from the context manager all changes to environment variables done through this instance will be rolled back. Ch... | |
doc_22253 | The content of the text node as a string. | |
doc_22254 |
Returns True if all elements evaluate to True. Refer to numpy.all for full documentation. See also numpy.all
equivalent function | |
doc_22255 |
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_22256 |
Plot a pie chart. Make a pie chart of array x. The fractional area of each wedge is given by x/sum(x). If sum(x) < 1, then the values of x give the fractional area directly and the array will not be normalized. The resulting pie will have an empty wedge of size 1 - sum(x). The wedges are plotted counterclockwise, by ... | |
doc_22257 | See Migration guide for more details. tf.compat.v1.keras.layers.TimeDistributed
tf.keras.layers.TimeDistributed(
layer, **kwargs
)
The input should be at least 3D, and the dimension of index one will be considered to be the temporal dimension. Consider a batch of 32 video samples, where each sample is a 128x128 ... | |
doc_22258 |
Decays the learning rate of each parameter group by gamma every step_size epochs. Notice that such decay can happen simultaneously with other changes to the learning rate from outside this scheduler. When last_epoch=-1, sets initial lr as lr. Parameters
optimizer (Optimizer) – Wrapped optimizer.
step_size (int) ... | |
doc_22259 | Same as ModelChoiceField.queryset. | |
doc_22260 | Returns a copy of this object in CUDA memory. If this object is already in CUDA memory and on the correct device, then no copy is performed and the original object is returned. Parameters
device (torch.device) – The destination GPU device. Defaults to the current CUDA device.
non_blocking (bool) – If True and the ... | |
doc_22261 |
Overrides the standard draw_path to add the shadow offset and necessary color changes for the shadow. | |
doc_22262 | See Migration guide for more details. tf.compat.v1.py_function
tf.py_function(
func, inp, Tout, name=None
)
This function allows expressing computations in a TensorFlow graph as Python functions. In particular, it wraps a Python function func in a once-differentiable TensorFlow operation that executes it with ea... | |
doc_22263 | Return the value of sample index from the fragment. | |
doc_22264 | tf.compat.v1.cond(
pred, true_fn=None, false_fn=None, strict=False, name=None, fn1=None, fn2=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (fn1, fn2). They will be removed in a future version. Instructions for updating: fn1/fn2 are deprecated in favor of the true_fn/false_fn arguments. true_fn and false_fn both r... | |
doc_22265 |
Returns the score on the given data, if the estimator has been refit. This uses the score defined by scoring where provided, and the best_estimator_.score method otherwise. Parameters
Xarray-like of shape (n_samples, n_features)
Input data, where n_samples is the number of samples and n_features is the number o... | |
doc_22266 |
Delegate the mouse event contains-check to the children. As a container, the OffsetBox does not respond itself to mouseevents. Parameters
mouseeventmatplotlib.backend_bases.MouseEvent
Returns
containsbool
Whether any values are within the radius.
detailsdict
An artist-specific dictionary of details of... | |
doc_22267 | This method returns a ctypes type instance using the memory specified by address which must be an integer.
This method, and others that indirectly call this method, raises an auditing event ctypes.cdata with argument address. | |
doc_22268 | See Migration guide for more details. tf.compat.v1.feature_column.indicator_column
tf.feature_column.indicator_column(
categorical_column
)
For DNN model, indicator_column can be used to wrap any categorical_column_* (e.g., to feed to DNN). Consider to Use embedding_column if the number of buckets/unique(values... | |
doc_22269 |
Return the truth value of (x1 >= x2) element-wise. Parameters
x1, x2array_like
Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If ... | |
doc_22270 | class sklearn.impute.KNNImputer(*, missing_values=nan, n_neighbors=5, weights='uniform', metric='nan_euclidean', copy=True, add_indicator=False) [source]
Imputation for completing missing values using k-Nearest Neighbors. Each sample’s missing values are imputed using the mean value from n_neighbors nearest neighbors... | |
doc_22271 | tf.compat.v1.metrics.accuracy(
labels, predictions, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
The accuracy function creates two local variables, total and count that are used to compute the frequency with which predictions matches labels. This frequency is ultimately returne... | |
doc_22272 | The process ID of the child process. Note that if you set the shell argument to True, this is the process ID of the spawned shell. | |
doc_22273 | re.DOTALL
Make the '.' special character match any character at all, including a newline; without this flag, '.' will match anything except a newline. Corresponds to the inline flag (?s). | |
doc_22274 | See Migration guide for more details. tf.compat.v1.math.special.fresnel_cos
tf.math.special.fresnel_cos(
x, name=None
)
The Fresnel cosine integral is defined as the integral of cos(t^2) from 0 to x, with the domain of definition all real numbers. The Fresnel cosine integral is odd. >>> tf.math.special.fresnel_c... | |
doc_22275 | A helper codec that decodes newlines for universal newlines mode. It inherits codecs.IncrementalDecoder. | |
doc_22276 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyAdadelta
tf.raw_ops.SparseApplyAdadelta(
var, accum, accum_update, lr, rho, epsilon, grad, indices, use_locking=False,
name=None
)
Args
var
A mutable Tensor. Must be one of the following types: float32, float64, int32, uint8, in... | |
doc_22277 |
Compute count of group, excluding missing values. Returns
Series or DataFrame
Count of values within each group. See also Series.groupby
Apply a function groupby to a Series. DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame. | |
doc_22278 | The strftime() format to use when parsing the year. By default, this is '%Y'. | |
doc_22279 | A bool that controls where TensorFloat-32 tensor cores may be used in cuDNN convolutions on Ampere or newer GPUs. See TensorFloat-32(TF32) on Ampere devices. | |
doc_22280 |
Brute-force matching of descriptors. For each descriptor in the first set this matcher finds the closest descriptor in the second set (and vice-versa in the case of enabled cross-checking). Parameters
descriptors1(M, P) array
Descriptors of size P about M keypoints in the first image.
descriptors2(N, P) array... | |
doc_22281 | See Migration guide for more details. tf.compat.v1.raw_ops.RetrieveTPUEmbeddingProximalYogiParametersGradAccumDebug
tf.raw_ops.RetrieveTPUEmbeddingProximalYogiParametersGradAccumDebug(
num_shards, shard_id, table_id=-1, table_name='', config='',
name=None
)
Args
num_shards An int.
shard_id An ... | |
doc_22282 |
Multiply self by other in-place. | |
doc_22283 | tf.compat.v1.gfile.Rename(
oldname, newname, overwrite=False
)
Args
oldname string, pathname for a file
newname string, pathname to which the file needs to be moved
overwrite boolean, if false it's an error for newname to be occupied by an existing file.
Raises
errors.OpError If th... | |
doc_22284 |
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_22285 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_22286 | check if the Joystick is initialized get_init() -> bool Return True if the Joystick object is currently initialised. | |
doc_22287 | The address on which the server is listening. The format of addresses varies depending on the protocol family; see the documentation for the socket module for details. For Internet protocols, this is a tuple containing a string giving the address, and an integer port number: ('127.0.0.1', 80), for example. | |
doc_22288 |
Imputation for completing missing values using k-Nearest Neighbors. Each sample’s missing values are imputed using the mean value from n_neighbors nearest neighbors found in the training set. Two samples are close if the features that neither is missing are close. Read more in the User Guide. New in version 0.22. ... | |
doc_22289 | Return a string which is the concatenation of the strings in iterable. A TypeError will be raised if there are any non-string values in iterable, including bytes objects. The separator between elements is the string providing this method. | |
doc_22290 | Renders a response using a context created with get_context_data(). | |
doc_22291 | Sets gradients of all model parameters to zero. See similar function under torch.optim.Optimizer for more context. Parameters
set_to_none (bool) – instead of setting to zero, set the grads to None. See torch.optim.Optimizer.zero_grad() for details. | |
doc_22292 |
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_22293 |
Add an Artist to the container box. | |
doc_22294 | See Migration guide for more details. tf.compat.v1.raw_ops.RetrieveTPUEmbeddingADAMParametersGradAccumDebug
tf.raw_ops.RetrieveTPUEmbeddingADAMParametersGradAccumDebug(
num_shards, shard_id, table_id=-1, table_name='', config='',
name=None
)
An op that retrieves optimization parameters from embedding to host... | |
doc_22295 | See Migration guide for more details. tf.compat.v1.data.experimental.group_by_reducer
tf.data.experimental.group_by_reducer(
key_func, reducer
)
This transformation maps element of a dataset to a key using key_func and groups the elements by key. The reducer is used to process each group; its init_func is used t... | |
doc_22296 |
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_22297 |
Boolean indicating whether the dtype is a struct which maintains field alignment. This flag is sticky, so when combining multiple structs together, it is preserved and produces new dtypes which are also aligned. | |
doc_22298 |
Apply only the non-affine part of this transformation. transform(values) is always equivalent to transform_affine(transform_non_affine(values)). In non-affine transformations, this is generally equivalent to transform(values). In affine transformations, this is always a no-op. Parameters
valuesarray
The input v... | |
doc_22299 |
Cumulative max for each group. Returns
Series or DataFrame
See also Series.groupby
Apply a function groupby to a Series. DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame. |
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