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doc_4200
Immediately stop playing or recording and return the device to a state where it can accept commands. The OSS documentation recommends closing and re-opening the device after calling reset().
doc_4201
Return the bytes of the file name in the archive. name is the name of the file in the archive, or a ZipInfo object. The archive must be open for read or append. pwd is the password used for encrypted files and, if specified, it will override the default password set with setpassword(). Calling read() on a ZipFile that ...
doc_4202
skimage.util.apply_parallel(function, array) Map a function in parallel across an array. skimage.util.compare_images(image1, image2) Return an image showing the differences between two images. skimage.util.crop(ar, crop_width[, copy, order]) Crop array ar by crop_width along each dimension. skimage.util.dtype_lim...
doc_4203
Return Modulo of series and other, element-wise (binary operator mod). Equivalent to series % other, but with support to substitute a fill_value for missing data in either one of the inputs. Parameters other:Series or scalar value fill_value:None or float value, default None (NaN) Fill existing missing (NaN) ...
doc_4204
Return unbiased kurtosis over requested axis. Kurtosis obtained using Fisher’s definition of kurtosis (kurtosis of normal == 0.0). Normalized by N-1. Parameters axis:{index (0)} Axis for the function to be applied on. skipna:bool, default True Exclude NA/null values when computing the result. level:int or...
doc_4205
Deletes the file referenced by name. If deletion is not supported on the target storage system this will raise NotImplementedError instead.
doc_4206
Draw samples from a Weibull distribution. Draw samples from a 1-parameter Weibull distribution with the given shape parameter a. \[X = (-ln(U))^{1/a}\] Here, U is drawn from the uniform distribution over (0,1]. The more common 2-parameter Weibull, including a scale parameter \(\lambda\) is just \(X = \lambda(-ln(U))...
doc_4207
Return the value of the boundary parameter of the Content-Type header of the message, or failobj if either the header is missing, or has no boundary parameter. The returned string will always be unquoted as per email.utils.unquote().
doc_4208
Appends modules from a Python iterable to the end of the list. Parameters modules (iterable) – iterable of modules to append
doc_4209
Perform DBSCAN clustering from features, or distance matrix. Parameters X{array-like, sparse matrix} of shape (n_samples, n_features), or (n_samples, n_samples) Training instances to cluster, or distances between instances if metric='precomputed'. If a sparse matrix is provided, it will be converted into a spar...
doc_4210
Separate the underlying raw stream from the buffer and return it. After the raw stream has been detached, the buffer is in an unusable state. Some buffers, like BytesIO, do not have the concept of a single raw stream to return from this method. They raise UnsupportedOperation. New in version 3.1.
doc_4211
re.ASCII Make \w, \W, \b, \B, \d, \D, \s and \S perform ASCII-only matching instead of full Unicode matching. This is only meaningful for Unicode patterns, and is ignored for byte patterns. Corresponds to the inline flag (?a). Note that for backward compatibility, the re.U flag still exists (as well as its synonym re...
doc_4212
Exception raised by the netrc class when syntactical errors are encountered in source text. Instances of this exception provide three interesting attributes: msg is a textual explanation of the error, filename is the name of the source file, and lineno gives the line number on which the error was found.
doc_4213
An undeclared prefix was found when namespace processing was enabled.
doc_4214
A kernel hyperparameter’s specification in form of a namedtuple. New in version 0.18. Attributes namestr The name of the hyperparameter. Note that a kernel using a hyperparameter with name “x” must have the attributes self.x and self.x_bounds value_typestr The type of the hyperparameter. Currently, only “...
doc_4215
Parameters axesmatplotlib.axes.Axes The Axes to which the created Axis belongs. pickradiusfloat The acceptance radius for containment tests. See also Axis.contains.
doc_4216
Return True if the object is an abstract base class.
doc_4217
Alias for set_edgecolor.
doc_4218
Check if an etag is weak.
doc_4219
Return a reverse iterator. seq must be an object which has a __reversed__() method or supports the sequence protocol (the __len__() method and the __getitem__() method with integer arguments starting at 0).
doc_4220
The username portion of the address, with all quoting removed.
doc_4221
'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_4222
play a .pgm video using overlays overlay.main(fname) -> None Play the .pgm video file given by a path fname. If run as a program overlay.py takes the file name as a command line argument.
doc_4223
tf.experimental.numpy.diag_indices( n, ndim=2 ) See the NumPy documentation for numpy.diag_indices.
doc_4224
rotates the vector by a given angle in degrees in place. rotate_ip(angle, Vector3) -> None Rotates the vector counterclockwise around the given axis by the given angle in degrees. The length of the vector is not changed.
doc_4225
Differentiate a Chebyshev series. Returns the Chebyshev series coefficients c differentiated m times along axis. At each iteration the result is multiplied by scl (the scaling factor is for use in a linear change of variable). The argument c is an array of coefficients from low to high degree along each axis, e.g., [...
doc_4226
Takes an instance sock of socket.socket, and returns an instance of ssl.SSLSocket, a subtype of socket.socket, which wraps the underlying socket in an SSL context. sock must be a SOCK_STREAM socket; other socket types are unsupported. Internally, function creates a SSLContext with protocol ssl_version and SSLContext.op...
doc_4227
Alias for get_fontfamily.
doc_4228
Clock that cannot be set and represents monotonic time since some unspecified starting point. Availability: Unix. New in version 3.3.
doc_4229
Return the message’s content type. The returned string is coerced to lower case of the form maintype/subtype. If there was no Content-Type header in the message the default type as given by get_default_type() will be returned. Since according to RFC 2045, messages always have a default type, get_content_type() will alw...
doc_4230
Return a normalized rgba array corresponding to x. In the normal case, x is a 1D or 2D sequence of scalars, and the corresponding ndarray of rgba values will be returned, based on the norm and colormap set for this ScalarMappable. There is one special case, for handling images that are already rgb or rgba, such as mi...
doc_4231
Determines if the module is a package based on path.
doc_4232
Get the edge color of the Figure rectangle.
doc_4233
tf.metrics.serialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.serialize tf.keras.metrics.serialize( metric ) Arguments metric A Keras Metric instance or a metric function. Returns Metric configuration dictionary.
doc_4234
Given the proposed upper and lower extent, adjust the range if it is too close to being singular (i.e. a range of ~0).
doc_4235
tf.compat.v1.nn.quantized_relu_x( features, max_value, min_features, max_features, out_type=tf.dtypes.quint8, name=None ) Args features A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. max_value A Tensor of type float32. min_features A Tensor of type fl...
doc_4236
Instantiates a SimpleTemplateResponse object with the given template, context, content type, HTTP status, and charset. template A backend-dependent template object (such as those returned by get_template()), the name of a template, or a list of template names. context A dict of values to add to the template contex...
doc_4237
Fit underlying estimators. Parameters X(sparse) array-like of shape (n_samples, n_features) Data. yarray-like of shape (n_samples,) Multi-class targets. Returns self
doc_4238
Shortcut for route() with methods=["PATCH"]. New in version 2.0. Parameters rule (str) – options (Any) – Return type Callable
doc_4239
See Migration guide for more details. tf.compat.v1.raw_ops.BatchCholeskyGrad tf.raw_ops.BatchCholeskyGrad( l, grad, name=None ) Args l A Tensor. Must be one of the following types: float32, float64. grad A Tensor. Must have the same type as l. name A name for the operation (optional). ...
doc_4240
Open an AIFF or AIFF-C file and return an object instance with methods that are described below. The argument file is either a string naming a file or a file object. mode must be 'r' or 'rb' when the file must be opened for reading, or 'w' or 'wb' when the file must be opened for writing. If omitted, file.mode is used ...
doc_4241
Bases: object A d-dimensional Bezier segment. Parameters control_points(N, d) array Location of the N control points. axis_aligned_extrema()[source] Return the dimension and location of the curve's interior extrema. The extrema are the points along the curve where one of its partial derivatives is zero....
doc_4242
A storage object, or a callable which returns a storage object. This handles the storage and retrieval of your files. See Managing files for details on how to provide this object.
doc_4243
A ConvReLU2d module is a fused module of Conv2d and ReLU We adopt the same interface as torch.nn.quantized.Conv2d. Variables as torch.nn.quantized.Conv2d (Same) –
doc_4244
Returns a GEOSGeometry representing the points making up this geometry that do not make up other.
doc_4245
See Migration guide for more details. tf.compat.v1.raw_ops.WriteGraphSummary tf.raw_ops.WriteGraphSummary( writer, step, tensor, name=None ) Writes TensorFlow graph tensor at step using summary writer. Args writer A Tensor of type resource. step A Tensor of type int64. tensor A Tensor of typ...
doc_4246
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_4247
Set the available ciphers for sockets created with this context. It should be a string in the OpenSSL cipher list format. If no cipher can be selected (because compile-time options or other configuration forbids use of all the specified ciphers), an SSLError will be raised. Note when connected, the SSLSocket.cipher() ...
doc_4248
Update the dictionary with the key/value pairs from other, overwriting existing keys. Return None. update() accepts either another dictionary object or an iterable of key/value pairs (as tuples or other iterables of length two). If keyword arguments are specified, the dictionary is then updated with those key/value pai...
doc_4249
Returns the input values concatenated into a string, separated by the delimiter string, or default if there are no values. delimiter Required argument. Needs to be a string. distinct An optional boolean argument that determines if concatenated values will be distinct. Defaults to False. ordering An opti...
doc_4250
Hides the window. Another window will be activated.
doc_4251
Sparse representation of the fitted coef_.
doc_4252
See Migration guide for more details. tf.compat.v1.raw_ops.BatchMatrixInverse tf.raw_ops.BatchMatrixInverse( input, adjoint=False, name=None ) Args input A Tensor. Must be one of the following types: float64, float32. adjoint An optional bool. Defaults to False. name A name for the operation...
doc_4253
operands[Slice] The array(s) to be iterated over. Valid only before the iterator is closed.
doc_4254
Create new mailbox named mailbox.
doc_4255
Return a normalized rgba array corresponding to x. In the normal case, x is a 1D or 2D sequence of scalars, and the corresponding ndarray of rgba values will be returned, based on the norm and colormap set for this ScalarMappable. There is one special case, for handling images that are already rgb or rgba, such as mi...
doc_4256
Return random floats in the half-open interval [0.0, 1.0). Results are from the “continuous uniform” distribution over the stated interval. To sample \(Unif[a, b), b > a\) multiply the output of random_sample by (b-a) and add a: (b - a) * random_sample() + a Note New code should use the random method of a default_r...
doc_4257
Detect CENSURE keypoints along with the corresponding scale. Parameters image2D ndarray Input image.
doc_4258
Return self>>=value.
doc_4259
Compute prod of group values. Parameters numeric_only:bool, default True Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. min_count:int, default 0 The required number of valid values to perform the operation. If fewer than min_count non-NA values...
doc_4260
tf.nn.crelu( features, axis=-1, name=None ) Concatenates a ReLU which selects only the positive part of the activation with a ReLU which selects only the negative part of the activation. Note that as a result this non-linearity doubles the depth of the activations. Source: Understanding and Improving Convolutional...
doc_4261
State collector class for float operations. The instance of this class can be used instead of the torch. prefix for some operations. See example usage below. Note This class does not provide a forward hook. Instead, you must use one of the underlying functions (e.g. add). Examples: >>> f_add = FloatFunctional() >>>...
doc_4262
Get the converter interface instance for x, or None.
doc_4263
See Migration guide for more details. tf.compat.v1.keras.layers.experimental.preprocessing.RandomCrop tf.keras.layers.experimental.preprocessing.RandomCrop( height, width, seed=None, name=None, **kwargs ) This layer will crop all the images in the same batch to the same cropping location. By default, random crop...
doc_4264
Similar to CLOCK_MONOTONIC, but provides access to a raw hardware-based time that is not subject to NTP adjustments. Availability: Linux 2.6.28 and newer, macOS 10.12 and newer. New in version 3.3.
doc_4265
Alias for set_linestyle.
doc_4266
A list of application names among installed applications. Those apps should contain a locale directory. All those catalogs plus all catalogs found in LOCALE_PATHS (which are always included) are merged into one catalog. Defaults to None, which means that all available translations from all INSTALLED_APPS are provided i...
doc_4267
Return a Series containing counts of unique values. The resulting object will be in descending order so that the first element is the most frequently-occurring element. Excludes NA values by default. Parameters normalize:bool, default False If True then the object returned will contain the relative frequencies ...
doc_4268
Return the weighted average of array over the given axis. Parameters aarray_like Data to be averaged. Masked entries are not taken into account in the computation. axisint, optional Axis along which to average a. If None, averaging is done over the flattened array. weightsarray_like, optional The import...
doc_4269
class abc.ABC A helper class that has ABCMeta as its metaclass. With this class, an abstract base class can be created by simply deriving from ABC avoiding sometimes confusing metaclass usage, for example: from abc import ABC class MyABC(ABC): pass Note that the type of ABC is still ABCMeta, therefore inheritin...
doc_4270
Appends parameters from a Python iterable to the end of the list. Parameters parameters (iterable) – iterable of parameters to append
doc_4271
contains_aggregate Tells Django that this expression contains an aggregate and that a GROUP BY clause needs to be added to the query. contains_over_clause Tells Django that this expression contains a Window expression. It’s used, for example, to disallow window function expressions in queries that modify data...
doc_4272
Method representing the thread’s activity. You may override this method in a subclass. The standard run() method invokes the callable object passed to the object’s constructor as the target argument, if any, with positional and keyword arguments taken from the args and kwargs arguments, respectively.
doc_4273
Print exception information and stack trace entries from traceback object tb to file. This differs from print_tb() in the following ways: if tb is not None, it prints a header Traceback (most recent call last): it prints the exception etype and value after the stack trace if type(value) is SyntaxError and value has...
doc_4274
bytearray.lstrip([chars]) Return a copy of the sequence with specified leading bytes removed. The chars argument is a binary sequence specifying the set of byte values to be removed - the name refers to the fact this method is usually used with ASCII characters. If omitted or None, the chars argument defaults to remo...
doc_4275
Set the colormap to 'pink'. This changes the default colormap as well as the colormap of the current image if there is one. See help(colormaps) for more information.
doc_4276
sklearn.feature_extraction.image.grid_to_graph(n_x, n_y, n_z=1, *, mask=None, return_as=<class 'scipy.sparse.coo.coo_matrix'>, dtype=<class 'int'>) [source] Graph of the pixel-to-pixel connections Edges exist if 2 voxels are connected. Parameters n_xint Dimension in x axis n_yint Dimension in y axis n_zin...
doc_4277
Bases: matplotlib.transforms.TransformNode The base class of all TransformNode instances that actually perform a transformation. All non-affine transformations should be subclasses of this class. New affine transformations should be subclasses of Affine2D. Subclasses of this class should override the following member...
doc_4278
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_4279
Similar to escape(), except that it doesn’t operate on pre-escaped strings, so it will not double escape.
doc_4280
Renames dimension names of self. There are two main usages: self.rename(**rename_map) returns a view on tensor that has dims renamed as specified in the mapping rename_map. self.rename(*names) returns a view on tensor, renaming all dimensions positionally using names. Use self.rename(None) to drop names on a tensor. ...
doc_4281
Set “info” to info, which should be a string.
doc_4282
Alias for set_linestyle.
doc_4283
tf.keras.applications.resnet_v2.ResNet50V2 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.ResNet50V2, tf.compat.v1.keras.applications.resnet_v2.ResNet50V2 tf.keras.applications.ResNet50V2( include_top=True, weights='imagenet', input_tensor=None, input_shape=...
doc_4284
A tuple of HeaderDefect instances reporting any RFC compliance problems found during parsing. The email package tries to be complete about detecting compliance issues. See the errors module for a discussion of the types of defects that may be reported.
doc_4285
Play the SystemDefault sound.
doc_4286
Set the “background” set of attributes to attr. This set is initially 0 (no attributes).
doc_4287
Moves the storage to shared memory. This is a no-op for storages already in shared memory and for CUDA storages, which do not need to be moved for sharing across processes. Storages in shared memory cannot be resized. Returns: self
doc_4288
Parameters eventMouseEvent, optional Not used
doc_4289
Returns True if x is finite; otherwise returns False.
doc_4290
A string used for identification purposes only. It has no semantics. Multiple threads may be given the same name. The initial name is set by the constructor.
doc_4291
Return a new array of bytes. The bytearray class is a mutable sequence of integers in the range 0 <= x < 256. It has most of the usual methods of mutable sequences, described in Mutable Sequence Types, as well as most methods that the bytes type has, see Bytes and Bytearray Operations. The optional source parameter can...
doc_4292
pygame module for image transfer The image module contains functions for loading and saving pictures, as well as transferring Surfaces to formats usable by other packages. Note that there is no Image class; an image is loaded as a Surface object. The Surface class allows manipulation (drawing lines, setting pixels...
doc_4293
sklearn.datasets.make_friedman2(n_samples=100, *, noise=0.0, random_state=None) [source] Generate the “Friedman #2” regression problem. This dataset is described in Friedman [1] and Breiman [2]. Inputs X are 4 independent features uniformly distributed on the intervals: 0 <= X[:, 0] <= 100, 40 * pi <= X[:, 1] <= 560 ...
doc_4294
Sets the learning rate of each parameter group according to the 1cycle learning rate policy. The 1cycle policy anneals the learning rate from an initial learning rate to some maximum learning rate and then from that maximum learning rate to some minimum learning rate much lower than the initial learning rate. This po...
doc_4295
Returns element-wise True where signbit is set (less than zero). Parameters xarray_like The input value(s). 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-...
doc_4296
Read an array header from a filelike object using the 2.0 file format version. This will leave the file object located just after the header. New in version 1.9.0. Parameters fpfilelike object A file object or something with a read() method like a file. Returns shapetuple of int The shape of the array...
doc_4297
Return a list of the most frequently occurring values in the order they were first encountered in the data. Will return more than one result if there are multiple modes or an empty list if the data is empty: >>> multimode('aabbbbccddddeeffffgg') ['b', 'd', 'f'] >>> multimode('') [] New in version 3.8.
doc_4298
os.MFD_ALLOW_SEALING os.MFD_HUGETLB os.MFD_HUGE_SHIFT os.MFD_HUGE_MASK os.MFD_HUGE_64KB os.MFD_HUGE_512KB os.MFD_HUGE_1MB os.MFD_HUGE_2MB os.MFD_HUGE_8MB os.MFD_HUGE_16MB os.MFD_HUGE_32MB os.MFD_HUGE_256MB os.MFD_HUGE_512MB os.MFD_HUGE_1GB os.MFD_HUGE_2GB os.MFD_HUGE_16GB These flags can...
doc_4299
Takes LongTensor with index values of shape (*) and returns a tensor of shape (*, num_classes) that have zeros everywhere except where the index of last dimension matches the corresponding value of the input tensor, in which case it will be 1. See also One-hot on Wikipedia . Parameters tensor (LongTensor) – class v...