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doc_28500
Return the value of the numeric capability corresponding to the terminfo capability name capname as an integer. Return the value -2 if capname is not a numeric capability, or -1 if it is canceled or absent from the terminal description.
doc_28501
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_28502
Return an int with k random bits.
doc_28503
Unpacker is the complementary class which unpacks XDR data values from a string buffer. The input buffer is given as data.
doc_28504
Return the standard vertical stem width as float, or None if not specified in AFM file.
doc_28505
Pickles the record’s attribute dictionary and writes it to the socket in binary format. If there is an error with the socket, silently drops the packet. If the connection was previously lost, re-establishes the connection. To unpickle the record at the receiving end into a LogRecord, use the makeLogRecord() function.
doc_28506
See Migration guide for more details. tf.compat.v1.sparse.reorder, tf.compat.v1.sparse_reorder tf.sparse.reorder( sp_input, name=None ) Note that by convention, all sparse ops preserve the canonical ordering along increasing dimension number. The only time ordering can be violated is during manual manipulation o...
doc_28507
tf.compat.v1.summary.histogram( name, values, collections=None, family=None ) Adding a histogram summary makes it possible to visualize your data's distribution in TensorBoard. You can see a detailed explanation of the TensorBoard histogram dashboard here. The generated Summary has one summary value containing a h...
doc_28508
accessor for ‘no-transform’
doc_28509
Decodes object (taking the current state of the decoder into account) and returns the resulting decoded object. If this is the last call to decode() final must be true (the default is false). If final is true the decoder must decode the input completely and must flush all buffers. If this isn’t possible (e.g. because o...
doc_28510
Returns the date this session will expire. For sessions with no custom expiration (or those set to expire at browser close), this will equal the date SESSION_COOKIE_AGE seconds from now. This function accepts the same keyword arguments as get_expiry_age().
doc_28511
New in Django 4.0. Returns the URL to redirect to after login. The default implementation resolves and returns next_page if set, or LOGIN_REDIRECT_URL otherwise.
doc_28512
This function prints out a given traceback and exception to sys.stderr. When an exception is raised and uncaught, the interpreter calls sys.excepthook with three arguments, the exception class, exception instance, and a traceback object. In an interactive session this happens just before control is returned to the prom...
doc_28513
Return white top hat of an image. The white top hat of an image is defined as the image minus its morphological opening. This operation returns the bright spots of the image that are smaller than the structuring element. Parameters imagendarray Image array. selemndarray, optional The neighborhood expressed ...
doc_28514
Error raised when problems arise during merging due to problems with input data. Subclass of ValueError.
doc_28515
Reduce X to the selected features. Parameters Xarray of shape [n_samples, n_features] The input samples. Returns X_rarray of shape [n_samples, n_selected_features] The input samples with only the selected features.
doc_28516
Return a Path of the right half of a unit circle. See Path.circle for the reference on the approximation used.
doc_28517
Return the image mask and the histogram data. Returns maskarray of bool, same shape as image The selected pixels. datadict The data describing the histogram and the selected region. The dictionary contains: ‘bins’ : array of float The bin boundaries for both a and b channels. ‘hist’ : 2D array of float The...
doc_28518
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_28519
See Migration guide for more details. tf.compat.v1.keras.utils.OrderedEnqueuer tf.keras.utils.OrderedEnqueuer( sequence, use_multiprocessing=False, shuffle=False ) Used in fit_generator, evaluate_generator, predict_generator. Arguments sequence A tf.keras.utils.data_utils.Sequence object. use_multip...
doc_28520
A boolean value that determines whether to show the navigation sidebar on larger screens. By default, it is set to True.
doc_28521
Add other to self, and return a new masked array.
doc_28522
Returns a date object containing the first day of the year after the date provided. This function can also return None or raise an Http404 exception, depending on the values of allow_empty and allow_future.
doc_28523
Return a copy of the array. Parameters order{‘C’, ‘F’, ‘A’, ‘K’}, optional Controls the memory layout of the copy. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible. (Note that this function and numpy.copy are ve...
doc_28524
tf.reduce_mean tf.math.reduce_mean( input_tensor, axis=None, keepdims=False, name=None ) Reduces input_tensor along the dimensions given in axis by computing the mean of elements across the dimensions in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each of the entries in axis, which ...
doc_28525
Use this light source to adjust the colors of the rgb input array to give the impression of a shaded relief map with the given elevation. Parameters rgbarray-like An (M, N, 3) RGB array, assumed to be in the range of 0 to 1. elevationarray-like An (M, N) array of the height values used to generate a shaded ...
doc_28526
The base exception class. Error has a single public attribute msg containing the description of the error.
doc_28527
Null-terminated string containing references to environment variables (%PATH%).
doc_28528
Tuple of bytes to step in each dimension when traversing an array. The byte offset of element (i[0], i[1], ..., i[n]) in an array a is: offset = sum(np.array(i) * a.strides) A more detailed explanation of strides can be found in the “ndarray.rst” file in the NumPy reference guide. See also numpy.lib.stride_tricks....
doc_28529
Return the list of major Ticks.
doc_28530
Points to the model the field relates to. For example, Author in ForeignKey(Author, on_delete=models.CASCADE). The related_model for a GenericForeignKey is always None.
doc_28531
Time Series cross-validator Provides train/test indices to split time series data samples that are observed at fixed time intervals, in train/test sets. In each split, test indices must be higher than before, and thus shuffling in cross validator is inappropriate. This cross-validation object is a variation of KFold....
doc_28532
Primary key. The field itself may contain up to 40 characters. The current implementation generates a 32-character string (a random sequence of digits and lowercase ASCII letters).
doc_28533
Equivalent to put(item), provided for compatibility with Queue.put_nowait().
doc_28534
'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_28535
Return alias for index. Returns Index Index of the Series.
doc_28536
Return the number of days in the month. Examples >>> ts = pd.Timestamp(2020, 3, 14) >>> ts.days_in_month 31
doc_28537
Return True if path is an existing regular file. This follows symbolic links, so both islink() and isfile() can be true for the same path. Changed in version 3.6: Accepts a path-like object.
doc_28538
Write out format foo. This method is normally called via Figure.savefig and FigureCanvasBase.print_figure, which take care of setting the figure facecolor, edgecolor, and dpi to the desired output values, and will restore them to the original values. Therefore, print_foo does not need to handle these settings.
doc_28539
Returns an iterator over all modules in the network. Yields Module – a module in the network Note Duplicate modules are returned only once. In the following example, l will be returned only once. Example: >>> l = nn.Linear(2, 2) >>> net = nn.Sequential(l, l) >>> for idx, m in enumerate(net.modules()): pri...
doc_28540
class dict(mapping, **kwarg) class dict(iterable, **kwarg) Return a new dictionary initialized from an optional positional argument and a possibly empty set of keyword arguments. Dictionaries can be created by several means: Use a comma-separated list of key: value pairs within braces: {'jack': 4098, 'sjoerd': 412...
doc_28541
Integrate. Return a series instance that is the definite integral of the current series. Parameters mnon-negative int The number of integrations to perform. karray_like Integration constants. The first constant is applied to the first integration, the second to the second, and so on. The list of values must...
doc_28542
See Migration guide for more details. tf.compat.v1.debugging.assert_equal tf.compat.v1.assert_equal( x, y, data=None, summarize=None, message=None, name=None ) This condition holds if for every pair of (possibly broadcast) elements x[i], y[i], we have x[i] == y[i]. If both x and y are empty, this is trivially sa...
doc_28543
See Migration guide for more details. tf.compat.v1.raw_ops.RngSkip tf.raw_ops.RngSkip( resource, algorithm, delta, name=None ) The state of the RNG after rng_skip(n) will be the same as that after stateful_uniform([n]) (or any other distribution). The actual increment added to the counter is an unspecified imple...
doc_28544
Return an array representing the indices of a grid. Compute an array where the subarrays contain index values 0, 1, … varying only along the corresponding axis. Parameters dimensionssequence of ints The shape of the grid. dtypedtype, optional Data type of the result. sparseboolean, optional Return a spa...
doc_28545
Returns the name of the tab element at position x, y, or the empty string if none.
doc_28546
Customize compiler using distutils command. Parameters cmdclass instance An instance inheriting from distutils.cmd.Command. ignoresequence of str, optional List of CCompiler commands (without 'set_') that should not be altered. Strings that are checked for are: ('include_dirs', 'define', 'undef', 'libraries...
doc_28547
This method is called unconditionally after tearDown(), or after setUp() if setUp() raises an exception. It is responsible for calling all the cleanup functions added by addCleanup(). If you need cleanup functions to be called prior to tearDown() then you can call doCleanups() yourself. doCleanups() pops methods off th...
doc_28548
Packer is the class for packing data into XDR representation. The Packer class is instantiated with no arguments.
doc_28549
See Migration guide for more details. tf.compat.v1.raw_ops.EncodeJpeg tf.raw_ops.EncodeJpeg( image, format='', quality=95, progressive=False, optimize_size=False, chroma_downsampling=True, density_unit='in', x_density=300, y_density=300, xmp_metadata='', name=None ) image is a 3-D uint8 Tensor of shape [...
doc_28550
See Migration guide for more details. tf.compat.v1.raw_ops.TensorScatterMax tf.raw_ops.TensorScatterMax( tensor, indices, updates, name=None ) Args tensor A Tensor. Tensor to update. indices A Tensor. Must be one of the following types: int32, int64. Index tensor. updates A Tensor. Must have...
doc_28551
Return a matrix of random values with given shape. Create a matrix of the given shape and propagate it with random samples from a uniform distribution over [0, 1). Parameters *argsArguments Shape of the output. If given as N integers, each integer specifies the size of one dimension. If given as a tuple, this t...
doc_28552
Return the Transform instance mapping patch coordinates to data coordinates. For example, one may define a patch of a circle which represents a radius of 5 by providing coordinates for a unit circle, and a transform which scales the coordinates (the patch coordinate) by 5.
doc_28553
Return the reconstituted object hierarchy of the pickled representation data of an object. data must be a bytes-like object. The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled representation of the object are ignored. Arguments file, fix_imports, enco...
doc_28554
Whether the categories have an ordered relationship.
doc_28555
Blueprint local JSON encoder class to use. Set to None to use the app’s json_encoder.
doc_28556
See Migration guide for more details. tf.compat.v1.raw_ops.RetrieveTPUEmbeddingProximalAdagradParameters tf.raw_ops.RetrieveTPUEmbeddingProximalAdagradParameters( num_shards, shard_id, table_id=-1, table_name='', config='', name=None ) An op that retrieves optimization parameters from embedding to host memor...
doc_28557
Randomly zero out entire channels (a channel is a 2D feature map, e.g., the jj -th channel of the ii -th sample in the batched input is a 2D tensor input[i,j]\text{input}[i, j] ) of the input tensor). Each channel will be zeroed out independently on every forward call with probability p using samples from a Bernoulli...
doc_28558
TransformerDecoderLayer is made up of self-attn, multi-head-attn and feedforward network. This standard decoder layer is based on the paper “Attention Is All You Need”. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all y...
doc_28559
Return number of unique elements in the group. Returns Series Number of unique values within each group.
doc_28560
Make this feature the current feature of msilib. New components are automatically added to the default feature, unless a feature is explicitly specified.
doc_28561
A binary stream using an in-memory bytes buffer. It inherits BufferedIOBase. The buffer is discarded when the close() method is called. The optional argument initial_bytes is a bytes-like object that contains initial data. BytesIO provides or overrides these methods in addition to those from BufferedIOBase and IOBase: ...
doc_28562
See Migration guide for more details. tf.compat.v1.signal.hamming_window tf.signal.hamming_window( window_length, periodic=True, dtype=tf.dtypes.float32, name=None ) Args window_length A scalar Tensor indicating the window length to generate. periodic A bool Tensor indicating whether to generate a...
doc_28563
New in version 3.9. Status code returned by server.
doc_28564
Return Integer division and modulo of series and other, element-wise (binary operator divmod). Equivalent to divmod(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)...
doc_28565
Returns True if the user has each of the specified permissions, where each perm is in the format "<app label>.<permission codename>". If the user is inactive, this method will always return False. For an active superuser, this method will always return True. If obj is passed in, this method won’t check for permissions ...
doc_28566
Return date object with same year, month and day.
doc_28567
Restrict the process with PID pid (or the current process if zero) to a set of CPUs. mask is an iterable of integers representing the set of CPUs to which the process should be restricted.
doc_28568
Return the highest index in the string where substring sub is found, such that sub is contained within s[start:end]. Optional arguments start and end are interpreted as in slice notation. Return -1 on failure.
doc_28569
In-place version of greater_equal().
doc_28570
Bases: object An Axes positioning class. The divider is initialized with lists of horizontal and vertical sizes (mpl_toolkits.axes_grid1.axes_size) based on which a given rectangular area will be divided. The new_locator method then creates a callable object that can be used as the axes_locator of the axes. Paramete...
doc_28571
Bases: matplotlib.container.Container Container for the artists of bar plots (e.g. created by Axes.bar). The container can be treated as a tuple of the patches themselves. Additionally, you can access these and further parameters by the attributes. Attributes patcheslist of Rectangle The artists of the bars. ...
doc_28572
Register an archiver for the format name. function is the callable that will be used to unpack archives. The callable will receive the base_name of the file to create, followed by the base_dir (which defaults to os.curdir) to start archiving from. Further arguments are passed as keyword arguments: owner, group, dry_run...
doc_28573
The number of threads required to pass the barrier.
doc_28574
Computes the complementary error function of each element of input. The complementary error function is defined as follows: erfc(x)=1−2π∫0xe−t2dt\mathrm{erfc}(x) = 1 - \frac{2}{\sqrt{\pi}} \int_{0}^{x} e^{-t^2} dt Parameters input (Tensor) – the input tensor. Keyword Arguments out (Tensor, optional) – the output...
doc_28575
Add a centered suptitle to the figure. Parameters tstr The suptitle text. xfloat, default: 0.5 The x location of the text in figure coordinates. yfloat, default: 0.98 The y location of the text in figure coordinates. horizontalalignment, ha{'center', 'left', 'right'}, default: center The horizontal ...
doc_28576
Return the Transform instance used by this artist offset.
doc_28577
Schedule callback to be called after the given delay number of seconds (can be either an int or a float). An instance of asyncio.TimerHandle is returned which can be used to cancel the callback. callback will be called exactly once. If two callbacks are scheduled for exactly the same time, the order in which they are c...
doc_28578
See Migration guide for more details. tf.compat.v1.estimator.MultiHead tf.estimator.MultiHead( heads, head_weights=None ) This class merges the output of multiple Head objects. Specifically: For training, sums losses of each head, calls train_op_fn with this final loss. For eval, merges metrics by adding head.n...
doc_28579
Applies element-wise the function GELU(x)=x∗Φ(x)\text{GELU}(x) = x * \Phi(x) where Φ(x)\Phi(x) is the Cumulative Distribution Function for Gaussian Distribution. See Gaussian Error Linear Units (GELUs).
doc_28580
Return a value equal to the first operand after rounding and having the exponent of the second operand. >>> Decimal('1.41421356').quantize(Decimal('1.000')) Decimal('1.414') Unlike other operations, if the length of the coefficient after the quantize operation would be greater than precision, then an InvalidOperation ...
doc_28581
class sklearn.tree.ExtraTreeClassifier(*, criterion='gini', splitter='random', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, class_weight=None, ccp_alpha=0.0) [source...
doc_28582
Remove minor ticks from the Axes.
doc_28583
Get the value for an OpenGL flag for the current display gl_get_attribute(flag) -> value After calling pygame.display.set_mode() with the pygame.OPENGL flag, it is a good idea to check the value of any requested OpenGL attributes. See pygame.display.gl_set_attribute() for a list of valid flags.
doc_28584
Return the singular value decomposition (U, S, V) of a matrix, batches of matrices, or a sparse matrix AA such that A≈Udiag(S)VTA \approx U diag(S) V^T . In case MM is given, then SVD is computed for the matrix A−MA - M . Note The implementation is based on the Algorithm 5.1 from Halko et al, 2009. Note To obtai...
doc_28585
Return True if the stream supports random access. If False, seek(), tell() and truncate() will raise OSError.
doc_28586
Initialize self. See help(type(self)) for accurate signature.
doc_28587
Return a Path for the current hatch.
doc_28588
Unquotes a header value. (Reversal of quote_header_value()). This does not use the real unquoting but what browsers are actually using for quoting. Changelog New in version 0.5. Parameters value (str) – the header value to unquote. is_filename (bool) – The value represents a filename or path. Return type str
doc_28589
See Migration guide for more details. tf.compat.v1.random.experimental.stateless_split tf.random.experimental.stateless_split( seed, num=2 ) Example: seed = [1, 2] new_seeds = tf.random.experimental.stateless_split(seed, num=3) print(new_seeds) tf.Tensor( [[1105988140 1738052849] [-335576002 370444179] [ 10...
doc_28590
Sequence of bytecodes that access a constant.
doc_28591
sklearn.linear_model.lasso_path(X, y, *, eps=0.001, n_alphas=100, alphas=None, precompute='auto', Xy=None, copy_X=True, coef_init=None, verbose=False, return_n_iter=False, positive=False, **params) [source] Compute Lasso path with coordinate descent The Lasso optimization function varies for mono and multi-outputs. F...
doc_28592
Validates that the upper bound of the range is not greater than limit_value.
doc_28593
Call open() with method set to PATCH. Parameters args (Any) – kw (Any) – Return type werkzeug.test.TestResponse
doc_28594
See Migration guide for more details. tf.compat.v1.raw_ops.TensorListReserve tf.raw_ops.TensorListReserve( element_shape, num_elements, element_dtype, name=None ) element_shape: the shape of the future elements of the list num_elements: the number of elements to reserve handle: the output list element_dtype: the...
doc_28595
See Migration guide for more details. tf.compat.v1.app.flags.UnparsedFlagAccessError
doc_28596
Disable the fault handler: uninstall the signal handlers installed by enable().
doc_28597
Update the text properties. Valid keyword arguments are: Property Description agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha scalar or None animated bool backgroundcolor color bbox dict with properties for patches.FancyBboxPatch c...
doc_28598
Return divmod(value, self).
doc_28599
Return True if the underlying transport supports the write_eof() method, False otherwise.