_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_10400 | Returns a tuple of fields associated with a model. get_fields() accepts two parameters that can be used to control which fields are returned:
include_parents
True by default. Recursively includes fields defined on parent classes. If set to False, get_fields() will only search for fields declared directly on the cur... | |
doc_10401 | Return the name of the Task. If no name has been explicitly assigned to the Task, the default asyncio Task implementation generates a default name during instantiation. New in version 3.8. | |
doc_10402 |
Return boolean flag, True if artist is included in layout calculations. E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). | |
doc_10403 | In-place version of elu(). | |
doc_10404 | Tuple containing two dictionaries, mapping MIME types to a list of filename extensions: the first dictionary is for the non-standards types and the second one is for the standard types. They are initialized by common_types and types_map. | |
doc_10405 | The file may only be appended to. | |
doc_10406 | load new image from a file (or file-like object) load(filename) -> Surface load(fileobj, namehint="") -> Surface Load an image from a file source. You can pass either a filename or a Python file-like object. Pygame will automatically determine the image type (e.g., GIF or bitmap) and create a new Surface object from ... | |
doc_10407 |
Return a Path for a unit regular star with the given numVertices and radius of 1.0, centered at (0, 0). | |
doc_10408 | Typed version of collections.namedtuple(). Usage: class Employee(NamedTuple):
name: str
id: int
This is equivalent to: Employee = collections.namedtuple('Employee', ['name', 'id'])
To give a field a default value, you can assign to it in the class body: class Employee(NamedTuple):
name: str
id: int = ... | |
doc_10409 | See Migration guide for more details. tf.compat.v1.guarantee_const
tf.guarantee_const(
input, name=None
)
The runtime is then free to make optimizations based on this. Only accepts value typed tensors as inputs and rejects resource variable handles as input. Returns the input tensor without modification.
Ar... | |
doc_10410 | Whether the OpenSSL library has built-in support for the Application-Layer Protocol Negotiation TLS extension as described in RFC 7301. New in version 3.5. | |
doc_10411 |
Remove a callback based on its observer id. See also add_callback | |
doc_10412 | tf.nn.top_k Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.top_k, tf.compat.v1.nn.top_k
tf.math.top_k(
input, k=1, sorted=True, name=None
)
If the input is a vector (rank=1), finds the k largest entries in the vector and outputs their values and indices as vectors. Thus valu... | |
doc_10413 | Set the values for max_memuse and real_max_memuse for big memory tests. | |
doc_10414 |
Compute variance of groups, excluding missing values. Parameters
ddof:int, default 1
Degrees of freedom. Returns
DataFrame or Series
Variance of values within each group. | |
doc_10415 |
Return the visibility. | |
doc_10416 |
Applies element-wise the function PReLU(x)=max(0,x)+weight∗min(0,x)\text{PReLU}(x) = \max(0,x) + \text{weight} * \min(0,x) where weight is a learnable parameter. See PReLU for more details. | |
doc_10417 | Matrix product of two tensors. The behavior depends on the dimensionality of the tensors as follows: If both tensors are 1-dimensional, the dot product (scalar) is returned. If both arguments are 2-dimensional, the matrix-matrix product is returned. If the first argument is 1-dimensional and the second argument is 2-d... | |
doc_10418 |
Approximates feature map of the “skewed chi-squared” kernel by Monte Carlo approximation of its Fourier transform. Read more in the User Guide. Parameters
skewednessfloat, default=1.0
“skewedness” parameter of the kernel. Needs to be cross-validated.
n_componentsint, default=100
number of Monte Carlo sample... | |
doc_10419 | Uninitialize the joystick module. quit() -> None Uninitialize the joystick module. After you call this any existing joystick objects will no longer work. It is safe to call this function more than once. | |
doc_10420 |
Convert a path to an open file handle or pass-through a file-like object. Consider using open_file_cm instead, as it allows one to properly close newly created file objects more easily. Parameters
fnamestr or path-like or file-like
If str or os.PathLike, the file is opened using the flags specified by flag and ... | |
doc_10421 | tf.compat.v1.case(
pred_fn_pairs, default=None, exclusive=False, strict=False,
name='case'
)
See also tf.switch_case. The pred_fn_pairs parameter is a dict or list of pairs of size N. Each pair contains a boolean scalar tensor and a python callable that creates the tensors to be returned if the boolean evaluat... | |
doc_10422 |
Return day of the week. Examples
>>> ts = pd.Timestamp(2020, 3, 14)
>>> ts.day_of_week
5 | |
doc_10423 |
Cycle spinning (repeatedly apply func to shifted versions of x). Parameters
xarray-like
Data for input to func.
funcfunction
A function to apply to circularly shifted versions of x. Should take x as its first argument. Any additional arguments can be supplied via func_kw.
max_shiftsint or tuple
If an in... | |
doc_10424 | tf.random.poisson(
shape, lam, dtype=tf.dtypes.float32, seed=None, name=None
)
lam is the rate parameter describing the distribution(s). Example: samples = tf.random.poisson([10], [0.5, 1.5])
# samples has shape [10, 2], where each slice [:, 0] and [:, 1] represents
# the samples drawn from each distribution
samp... | |
doc_10425 |
Highlight missing values with a style. Parameters
null_color:str, default ‘red’
subset:label, array-like, IndexSlice, optional
A valid 2d input to DataFrame.loc[<subset>], or, in the case of a 1d input or single key, to DataFrame.loc[:, <subset>] where the columns are prioritised, to limit data to before appl... | |
doc_10426 | See Migration guide for more details. tf.compat.v1.app.flags.FlagHolder
tf.compat.v1.flags.FlagHolder(
flag_values, flag, ensure_non_none_value=False
)
This facilitates a cleaner api around global state. Instead of flags.DEFINE_integer('foo', ...)
flags.DEFINE_integer('bar', ...)
...
def method():
# prints par... | |
doc_10427 | Read size bytes from the audio input and return them as a Python string. Unlike most Unix device drivers, OSS audio devices in blocking mode (the default) will block read() until the entire requested amount of data is available. | |
doc_10428 |
Return whether the patch is filled. | |
doc_10429 | Error occurred during establishment of a connection with the server. | |
doc_10430 | tf.nn.in_top_k
tf.math.in_top_k(
targets, predictions, k, name=None
)
This outputs a batch_size bool array, an entry out[i] is true if the prediction for the target class is finite (not inf, -inf, or nan) and among the top k predictions among all predictions for example i. Note that the behavior of InTopK differ... | |
doc_10431 |
Set the horizontal alignment to one of Parameters
align{'center', 'right', 'left'} | |
doc_10432 |
Adjust the padding between and around subplots. To exclude an artist on the Axes from the bounding box calculation that determines the subplot parameters (i.e. legend, or annotation), set a.set_in_layout(False) for that artist. Parameters
padfloat, default: 1.08
Padding between the figure edge and the edges of ... | |
doc_10433 | A read only MultiDict that you can pass multiple MultiDict instances as sequence and it will combine the return values of all wrapped dicts: >>> from werkzeug.datastructures import CombinedMultiDict, MultiDict
>>> post = MultiDict([('foo', 'bar')])
>>> get = MultiDict([('blub', 'blah')])
>>> combined = CombinedMultiDic... | |
doc_10434 |
Alias for set_antialiased. | |
doc_10435 |
Return the values as a NumPy array. Users should not call this directly. Rather, it is invoked by numpy.array() and numpy.asarray(). Parameters
dtype:str or numpy.dtype, optional
The dtype to use for the resulting NumPy array. By default, the dtype is inferred from the data. Returns
numpy.ndarray
The valu... | |
doc_10436 |
Find artist objects. Recursively find all Artist instances contained in the artist. Parameters
match
A filter criterion for the matches. This can be
None: Return all objects contained in artist. A function with signature def match(artist: Artist) -> bool. The result will only contain artists for which the funct... | |
doc_10437 |
Bases: matplotlib.text.Text Unlike the ordinary text, the get_rotation returns an updated angle in the pixel coordinate assuming that the input rotation is an angle in data coordinate (or whatever transform set). Create a Text instance at x, y with string text. Valid keyword arguments are:
Property Description
... | |
doc_10438 | Set save_as to enable a “save as new” feature on admin change forms. Normally, objects have three save options: “Save”, “Save and continue editing”, and “Save and add another”. If save_as is True, “Save and add another” will be replaced by a “Save as new” button that creates a new object (with a new ID) rather than upd... | |
doc_10439 | Return the size of the struct (and hence of the bytes object produced by pack(format, ...)) corresponding to the format string format. | |
doc_10440 | socket.SOL_ALG
ALG_*
Constants for Linux Kernel cryptography. Availability: Linux >= 2.6.38. New in version 3.6. | |
doc_10441 | Sets the threshold for this handler to level. Logging messages which are less severe than level will be ignored. When a handler is created, the level is set to NOTSET (which causes all messages to be processed). See Logging Levels for a list of levels. Changed in version 3.2: The level parameter now accepts a string r... | |
doc_10442 | Return a new Struct object which writes and reads binary data according to the format string format. Creating a Struct object once and calling its methods is more efficient than calling the struct functions with the same format since the format string only needs to be compiled once. Note The compiled versions of the m... | |
doc_10443 |
Either an opaque sequence of bytes, or a structure. >>> np.void(b'abcd')
void(b'\x61\x62\x63\x64')
Structured void scalars can only be constructed via extraction from Structured arrays: >>> arr = np.array((1, 2), dtype=[('x', np.int8), ('y', np.int8)])
>>> arr[()]
(1, 2) # looks like a tuple, but is `np.void`
Cha... | |
doc_10444 |
Draw samples from a Hypergeometric distribution. Samples are drawn from a hypergeometric distribution with specified parameters, ngood (ways to make a good selection), nbad (ways to make a bad selection), and nsample (number of items sampled, which is less than or equal to the sum ngood + nbad). Parameters
ngoodi... | |
doc_10445 | class sklearn.feature_extraction.text.TfidfTransformer(*, norm='l2', use_idf=True, smooth_idf=True, sublinear_tf=False) [source]
Transform a count matrix to a normalized tf or tf-idf representation Tf means term-frequency while tf-idf means term-frequency times inverse document-frequency. This is a common term weight... | |
doc_10446 |
Returns the inverse cumulative density/mass function evaluated at value. Parameters
value (Tensor) – | |
doc_10447 |
Return the font name as a string. See also font_manager.FontProperties.get_name | |
doc_10448 |
Bases: networkx.classes.graph.Graph The Region Adjacency Graph (RAG) of an image, subclasses networx.Graph Parameters
label_imagearray of int
An initial segmentation, with each region labeled as a different integer. Every unique value in label_image will correspond to a node in the graph.
connectivityint in {... | |
doc_10449 |
Make a copy of this object’s indices and data. When deep=True (default), a new object will be created with a copy of the calling object’s data and indices. Modifications to the data or indices of the copy will not be reflected in the original object (see notes below). When deep=False, a new object will be created wit... | |
doc_10450 | Return the negation of the argument. This operation is unaffected by the context and is quiet: no flags are changed and no rounding is performed. | |
doc_10451 | Start debugging from frame. If frame is not specified, debugging starts from caller’s frame. | |
doc_10452 |
Read a table of fixed-width formatted lines into DataFrame. Also supports optionally iterating or breaking of the file into chunks. Additional help can be found in the online docs for IO Tools. Parameters
filepath_or_buffer:str, path object, or file-like object
String, path object (implementing os.PathLike[str]... | |
doc_10453 | Computes the element-wise logical AND of the given input tensors. Zeros are treated as False and nonzeros are treated as True. Parameters
input (Tensor) – the input tensor.
other (Tensor) – the tensor to compute AND with Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> torch.logical_... | |
doc_10454 |
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_10455 |
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_10456 | Normalizes the email by calling BaseUserManager.normalize_email(). If you override this method, be sure to call super() to retain the normalization. | |
doc_10457 | See Migration guide for more details. tf.compat.v1.raw_ops.UnsortedSegmentMin
tf.raw_ops.UnsortedSegmentMin(
data, segment_ids, num_segments, name=None
)
Read the section on segmentation for an explanation of segments. This operator is similar to the unsorted segment sum operator found (here). Instead of computi... | |
doc_10458 | A generic version of collections.abc.Collection New in version 3.6.0. Deprecated since version 3.9: collections.abc.Collection now supports []. See PEP 585 and Generic Alias Type. | |
doc_10459 | If dwFlags specifies STARTF_USESTDHANDLES, this attribute is the standard input handle for the process. If STARTF_USESTDHANDLES is not specified, the default for standard input is the keyboard buffer. | |
doc_10460 | display an animated 3D cube using OpenGL glcube.main() -> None Using PyOpenGL and pygame, this creates a spinning 3D multicolored cube. | |
doc_10461 | tf.autodiff.GradientTape Compat aliases for migration See Migration guide for more details. tf.compat.v1.GradientTape
tf.GradientTape(
persistent=False, watch_accessed_variables=True
)
Operations are recorded if they are executed within this context manager and at least one of their inputs is being "watched". Tr... | |
doc_10462 | Exception raised when a string passed to one of the functions here is not a valid regular expression (for example, it might contain unmatched parentheses) or when some other error occurs during compilation or matching. It is never an error if a string contains no match for a pattern. The error instance has the followin... | |
doc_10463 | tf.compat.v1.gfile.Remove(
filename
)
Args
filename string, a filename
Raises
errors.OpError Propagates any errors reported by the FileSystem API. E.g., NotFoundError if the file does not exist. | |
doc_10464 |
The number of output dimensions of this transform. Must be overridden (with integers) in the subclass. | |
doc_10465 |
Set the snapping behavior. Snapping aligns positions with the pixel grid, which results in clearer images. For example, if a black line of 1px width was defined at a position in between two pixels, the resulting image would contain the interpolated value of that line in the pixel grid, which would be a grey value on ... | |
doc_10466 |
Indicate whether the date is the last day of the year. Returns
Series or DatetimeIndex
The same type as the original data with boolean values. Series will have the same name and index. DatetimeIndex will have the same name. See also is_year_start
Similar property indicating the start of the year. Exampl... | |
doc_10467 | Optional (blank=True). 150 characters or fewer. | |
doc_10468 |
Learn the idf vector (global term weights). Parameters
Xsparse matrix of shape n_samples, n_features)
A matrix of term/token counts. | |
doc_10469 |
Add a comment to the output stream. Parameters
commentstr
Comment text. | |
doc_10470 |
Set the artist's visibility. Parameters
bbool | |
doc_10471 |
Pop an image from the shared image stack. Returns
imgndarray
Image popped from the stack. | |
doc_10472 | This function is a small but complete WSGI application that returns a text page containing the message “Hello world!” and a list of the key/value pairs provided in the environ parameter. It’s useful for verifying that a WSGI server (such as wsgiref.simple_server) is able to run a simple WSGI application correctly. | |
doc_10473 | See Migration guide for more details. tf.compat.v1.raw_ops.ControlTrigger
tf.raw_ops.ControlTrigger(
name=None
)
Only useful as a placeholder for control edges.
Args
name A name for the operation (optional).
Returns The created Operation. | |
doc_10474 | Return the default content type. Most messages have a default content type of text/plain, except for messages that are subparts of multipart/digest containers. Such subparts have a default content type of message/rfc822. | |
doc_10475 | 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_10476 |
Return the cumulative product of elements along a given axis. Parameters
aarray_like
Input array.
axisint, optional
Axis along which the cumulative product is computed. By default the input is flattened.
dtypedtype, optional
Type of the returned array, as well as of the accumulator in which the elements... | |
doc_10477 | Check if a header is an entity header. Changelog New in version 0.5. Parameters
header (str) – the header to test. Returns
True if it’s an entity header, False otherwise. Return type
bool | |
doc_10478 |
Returns the indices that would sort this array. Refer to numpy.argsort for full documentation. See also numpy.argsort
equivalent function | |
doc_10479 | torch.utils.model_zoo.load_url(url, model_dir=None, map_location=None, progress=True, check_hash=False, file_name=None)
Loads the Torch serialized object at the given URL. If downloaded file is a zip file, it will be automatically decompressed. If the object is already present in model_dir, it’s deserialized and retu... | |
doc_10480 | Read and return one line from the stream. If size is specified, at most size bytes will be read. The line terminator is always b'\n' for binary files; for text files, the newline argument to open() can be used to select the line terminator(s) recognized. | |
doc_10481 |
Alias for get_linestyle. | |
doc_10482 |
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_10483 |
Read-only name identifying the axis. | |
doc_10484 | tf.sparse.add(
a, b, threshold=0
)
If one SparseTensor and one Tensor are passed in, returns a Tensor. If both arguments are SparseTensors, this returns a SparseTensor. The order of arguments does not matter. Use vanilla tf.add() for adding two dense Tensors. The shapes of the two operands must match: broadcasting... | |
doc_10485 |
Set the mutation scale. Parameters
scalefloat | |
doc_10486 |
Return a list of the child Artists. | |
doc_10487 |
Return a copy of the Bbox, shrunk so that it is as large as it can be while having the desired aspect ratio, box_aspect. If the box coordinates are relative (i.e. fractions of a larger box such as a figure) then the physical aspect ratio of that figure is specified with fig_aspect, so that box_aspect can also be give... | |
doc_10488 | assertNotIn(member, container, msg=None)
Test that member is (or is not) in container. New in version 3.1. | |
doc_10489 | Close a socket file descriptor. This is like os.close(), but for sockets. On some platforms (most noticeable Windows) os.close() does not work for socket file descriptors. New in version 3.7. | |
doc_10490 | Raised when an error is detected that doesn’t fall in any of the other categories. The associated value is a string indicating what precisely went wrong. | |
doc_10491 |
Cumulative min 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. | |
doc_10492 |
Set padding of Y data limits prior to autoscaling. m times the data interval will be added to each end of that interval before it is used in autoscaling. For example, if your data is in the range [0, 2], a factor of m = 0.1 will result in a range [-0.2, 2.2]. Negative values -0.5 < m < 0 will result in clipping of th... | |
doc_10493 | A Transform is a generic class to implement field transformations. A prominent example is __year that transforms a DateField into a IntegerField. The notation to use a Transform in a lookup expression is <expression>__<transformation> (e.g. date__year). This class follows the Query Expression API, which implies that yo... | |
doc_10494 |
Return the visibility. | |
doc_10495 |
Round to nearest integer towards zero. Round an array of floats element-wise to nearest integer towards zero. The rounded values are returned as floats. Parameters
xarray_like
An array of floats to be rounded
outndarray, optional
A location into which the result is stored. If provided, it must have a shape ... | |
doc_10496 | demonstrate the various surface.fill method blend options blend_fill.main() -> None A interactive demo that lets one choose which BLEND_xxx option to apply to a surface. | |
doc_10497 |
Return Floating division of series and other, element-wise (binary operator truediv). 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... | |
doc_10498 | 'DEFAULT_RENDERER_CLASSES': [
'rest_framework.renderers.JSONRenderer',
'rest_framework.renderers.BrowsableAPIRenderer',
]
}
You can also set the renderers used for an individual view, or viewset, using the APIView class-based views. from django.contrib.auth.models import User
from rest_framewor... | |
doc_10499 |
Incremental principal components analysis (IPCA). Linear dimensionality reduction using Singular Value Decomposition of the data, keeping only the most significant singular vectors to project the data to a lower dimensional space. The input data is centered but not scaled for each feature before applying the SVD. Dep... |
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