_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_29500 | Exception raised when an error occurs while attempting to compile the file. | |
doc_29501 |
Compute an approximation of the bounding box obtained by applying transform_xy to the box delimited by (x1, y1, x2, y2). The intended use is to have (x1, y1, x2, y2) in axes coordinates, and have transform_xy be the transform from axes coordinates to data coordinates; this method then returns the range of data coordi... | |
doc_29502 | '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_29503 |
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_29504 |
Start the timer object. Parameters
intervalint, optional
Timer interval in milliseconds; overrides a previously set interval if provided. | |
doc_29505 |
Description of the Tool. str: Tooltip used if the Tool is included in a Toolbar. | |
doc_29506 |
Keymap to associate with this tool. list[str]: List of keys that will trigger this tool when a keypress event is emitted on self.figure.canvas. | |
doc_29507 |
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_29508 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorStridedSliceUpdate
tf.raw_ops.TensorStridedSliceUpdate(
input, begin, end, strides, value, begin_mask=0, end_mask=0, ellipsis_mask=0,
new_axis_mask=0, shrink_axis_mask=0, name=None
)
The values of value are assigned to the positions in the tens... | |
doc_29509 | Name of a model field which will be auto-populated with the width of the image each time the model instance is saved. | |
doc_29510 | col_offset
end_lineno
end_col_offset
Instances of ast.expr and ast.stmt subclasses have lineno, col_offset, lineno, and col_offset attributes. The lineno and end_lineno are the first and last line numbers of source text span (1-indexed so the first line is line 1) and the col_offset and end_col_offset are the cor... | |
doc_29511 |
Bases: matplotlib.ticker.Locator Used to locate theta ticks. This will work the same as the base locator except in the case that the view spans the entire circle. In such cases, the previously used default locations of every 45 degrees are returned. refresh()[source]
set_axis(axis)[source]
view_limits(vmin,... | |
doc_29512 |
Set the location of tick in data coords with scalar loc. | |
doc_29513 | class ast.NotEq
class ast.Lt
class ast.LtE
class ast.Gt
class ast.GtE
class ast.Is
class ast.IsNot
class ast.In
class ast.NotIn
Comparison operator tokens. | |
doc_29514 | Get mailbox status. The result is a tuple of 2 integers: (message count,
mailbox size). | |
doc_29515 |
Draw samples from a standard Normal distribution (mean=0, stdev=1). Note New code should use the standard_normal method of a default_rng() instance instead; please see the Quick Start. Parameters
sizeint or tuple of ints, optional
Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples ar... | |
doc_29516 |
Provide rolling window calculations. Parameters
window:int, offset, or BaseIndexer subclass
Size of the moving window. If an integer, the fixed number of observations used for each window. If an offset, the time period of each window. Each window will be a variable sized based on the observations included in th... | |
doc_29517 |
Alias for get_linestyle. | |
doc_29518 | The model which the inline is using. This is required. | |
doc_29519 | Return a bytestring representing the current working directory. Changed in version 3.8: The function now uses the UTF-8 encoding on Windows, rather than the ANSI code page: see PEP 529 for the rationale. The function is no longer deprecated on Windows. | |
doc_29520 | Convert the value to a valid JSON type and add the tag structure around it. Parameters
value (Any) – Return type
Any | |
doc_29521 | See torch.narrow() Example: >>> x = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
>>> x.narrow(0, 0, 2)
tensor([[ 1, 2, 3],
[ 4, 5, 6]])
>>> x.narrow(1, 1, 2)
tensor([[ 2, 3],
[ 5, 6],
[ 8, 9]]) | |
doc_29522 | A generic version of collections.deque. New in version 3.5.4. New in version 3.6.1. Deprecated since version 3.9: collections.deque now supports []. See PEP 585 and Generic Alias Type. | |
doc_29523 |
Return log of posterior probabilities of classification. Parameters
Xarray-like of shape (n_samples, n_features)
Array of samples/test vectors. Returns
Cndarray of shape (n_samples, n_classes)
Posterior log-probabilities of classification per class. | |
doc_29524 |
The number of non- fill_value points. Examples
>>> s = SparseArray([0, 0, 1, 1, 1], fill_value=0)
>>> s.npoints
3 | |
doc_29525 |
lookup_name = 'week' | |
doc_29526 |
Set the locations of the ticks. This method is called before computing the tick labels because some formatters need to know all tick locations to do so. | |
doc_29527 | See Migration guide for more details. tf.compat.v1.raw_ops.InfeedEnqueueTuple
tf.raw_ops.InfeedEnqueueTuple(
inputs, shapes, layouts=[], device_ordinal=-1, name=None
)
Args
inputs A list of Tensor objects. A list of tensors that will be provided using the infeed mechanism.
shapes A list of shapes ... | |
doc_29528 |
Set multiple properties at once. Supported properties 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
bbox_to_anchor unknown
child unknown
clip_box Bbox
clip_on bool
clip_pa... | |
doc_29529 |
Return the handler map. | |
doc_29530 | The same as fold(), except that the returned value should be a bytes object rather than a string. value may contain surrogateescaped binary data. These could be converted back into binary data in the returned bytes object. | |
doc_29531 |
A function that needs to be called when figure dpi changes during the drawing (e.g., rasterizing). It recovers the bbox and re-adjust it with the new dpi. | |
doc_29532 | Returns x multiplied by y, plus z. | |
doc_29533 |
Return whether the artist is to be rasterized. | |
doc_29534 |
Return a list of the child Artists of this Artist. | |
doc_29535 |
Set the sketch parameters. Parameters
scalefloat, optional
The amplitude of the wiggle perpendicular to the source line, in pixels. If scale is None, or not provided, no sketch filter will be provided.
lengthfloat, optional
The length of the wiggle along the line, in pixels (default 128.0)
randomnessfloat... | |
doc_29536 | Return non-zero if the mode is from an event port. New in version 3.4. | |
doc_29537 | Return the fixed value specified when the timezone instance is constructed. The dt argument is ignored. The return value is a timedelta instance equal to the difference between the local time and UTC. Changed in version 3.7: The UTC offset is not restricted to a whole number of minutes. | |
doc_29538 | Encode a Unicode or bytes object as a file system path encode_file_path([obj [, etype]]) -> bytes or None obj: If Unicode, encode; if bytes, return unaltered; if anything else, return None; if not given, raise SyntaxError. etype (exception type): If given, the exception type to raise for an encoding error. The defaul... | |
doc_29539 |
See CosineEmbeddingLoss for details. | |
doc_29540 | C14N 2.0 transformation function. Canonicalization is a way to normalise XML output in a way that allows byte-by-byte comparisons and digital signatures. It reduced the freedom that XML serializers have and instead generates a more constrained XML representation. The main restrictions regard the placement of namespace ... | |
doc_29541 |
Returns a bool array, where True if input element is complex. What is tested is whether the input has a non-zero imaginary part, not if the input type is complex. Parameters
xarray_like
Input array. Returns
outndarray of bools
Output array. See also isreal
iscomplexobj
Return True if x is a compl... | |
doc_29542 | Translate an Internet protocol name (for example, 'icmp') to a constant suitable for passing as the (optional) third argument to the socket() function. This is usually only needed for sockets opened in “raw” mode (SOCK_RAW); for the normal socket modes, the correct protocol is chosen automatically if the protocol is om... | |
doc_29543 | Required. A list, tuple, QuerySet, or other sliceable object with a count() or __len__() method. For consistent pagination, QuerySets should be ordered, e.g. with an order_by() clause or with a default ordering on the model. Performance issues paginating large QuerySets If you’re using a QuerySet with a very large num... | |
doc_29544 |
Set slider value to val. Parameters
valtuple or array-like of float | |
doc_29545 | The name of the form field. | |
doc_29546 | Instantiates a QueryDict object based on query_string. >>> QueryDict('a=1&a=2&c=3')
<QueryDict: {'a': ['1', '2'], 'c': ['3']}>
If query_string is not passed in, the resulting QueryDict will be empty (it will have no keys or values). Most QueryDicts you encounter, and in particular those at request.POST and request.GET... | |
doc_29547 |
Return last n rows of each group. Similar to .apply(lambda x: x.tail(n)), but it returns a subset of rows from the original DataFrame with original index and order preserved (as_index flag is ignored). Parameters
n:int
If positive: number of entries to include from end of each group. If negative: number of entr... | |
doc_29548 |
alias of matplotlib.backends.backend_svg.FigureCanvasSVG | |
doc_29549 |
Cosine element-wise. Parameters
xarray_like
Input array in radians.
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-allocated array is returned. A tuple (po... | |
doc_29550 | Modify attributes of the font. | |
doc_29551 | True if the epoll object is closed. | |
doc_29552 | Optional (blank=True). Email address. | |
doc_29553 |
Grass. Returns
grass(512, 512) uint8 image
Some grass. Notes The original image was downloaded from DeviantArt and licensed underthe Creative Commons CC0 License. The downloaded image was cropped to include a region of (512, 512) pixels around the top left corner, converted to grayscale, then to uint8 prior... | |
doc_29554 |
Inner product of two arrays. Ordinary inner product of vectors for 1-D arrays (without complex conjugation), in higher dimensions a sum product over the last axes. Parameters
a, barray_like
If a and b are nonscalar, their last dimensions must match. Returns
outndarray
If a and b are both scalars or both... | |
doc_29555 | Identical to the pack() function, using the compiled format. (len(result) will equal size.) | |
doc_29556 | See Migration guide for more details. tf.compat.v1.raw_ops.LoadTPUEmbeddingAdadeltaParameters
tf.raw_ops.LoadTPUEmbeddingAdadeltaParameters(
parameters, accumulators, updates, num_shards, shard_id, table_id=-1,
table_name='', config='', name=None
)
An op that loads optimization parameters into HBM for embedd... | |
doc_29557 |
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_29558 | Extract the device major number from a raw device number (usually the st_dev or st_rdev field from stat). | |
doc_29559 | class ast.Sub
class ast.Mult
class ast.Div
class ast.FloorDiv
class ast.Mod
class ast.Pow
class ast.LShift
class ast.RShift
class ast.BitOr
class ast.BitXor
class ast.BitAnd
class ast.MatMult
Binary operator tokens. | |
doc_29560 |
Return Modulo of series and other, element-wise (binary operator rmod). Equivalent to other % series, 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_29561 | 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. To unpickle the record at the receiving end into a LogRecord, use the makeLogRecord() function. | |
doc_29562 |
Keymap to associate with this tool. list[str]: List of keys that will trigger this tool when a keypress event is emitted on self.figure.canvas. | |
doc_29563 | Returns the bottom panel in the panel stack. | |
doc_29564 | All pending input is processed, and a bytes object containing the remaining compressed output is returned. mode can be selected from the constants Z_NO_FLUSH, Z_PARTIAL_FLUSH, Z_SYNC_FLUSH, Z_FULL_FLUSH, Z_BLOCK (zlib 1.2.3.4), or Z_FINISH, defaulting to Z_FINISH. Except Z_FINISH, all constants allow compressing furthe... | |
doc_29565 | Register the XML-RPC multicall function system.multicall. | |
doc_29566 |
Return the product of the values over the requested axis. 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 level name, default None
If the axis is a MultiIndex (hierarchical), count along a partic... | |
doc_29567 | tf.metrics.get Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.get
tf.keras.metrics.get(
identifier
)
The identifier may be the string name of a metric function or class.
metric = tf.keras.metrics.get("categorical_crossentropy")
type(metric)
<class 'function'>
metri... | |
doc_29568 |
Set the facecolor(s) of the collection. c can be a color (all patches have same color), or a sequence of colors; if it is a sequence the patches will cycle through the sequence. If c is 'none', the patch will not be filled. Parameters
ccolor or list of colors | |
doc_29569 |
Computes the squared Mahalanobis distances of given observations. Parameters
Xarray-like of shape (n_samples, n_features)
The observations, the Mahalanobis distances of the which we compute. Observations are assumed to be drawn from the same distribution than the data used in fit. Returns
distndarray of s... | |
doc_29570 |
Call all of the registered callbacks. This function is triggered internally when a property is changed. See also add_callback
remove_callback | |
doc_29571 | SSL sockets provide the following methods of Socket Objects: accept() bind() close() connect() detach() fileno()
getpeername(), getsockname()
getsockopt(), setsockopt()
gettimeout(), settimeout(), setblocking()
listen() makefile()
recv(), recv_into() (but passing a non-zero flags argument is not allowed)
send(... | |
doc_29572 | Return the total number of seconds contained in the duration. Equivalent to td / timedelta(seconds=1). For interval units other than seconds, use the division form directly (e.g. td / timedelta(microseconds=1)). Note that for very large time intervals (greater than 270 years on most platforms) this method will lose mic... | |
doc_29573 | tf.experimental.numpy.random.uniform(
low=0.0, high=1.0, size=None
)
See the NumPy documentation for numpy.random.uniform. | |
doc_29574 | See Migration guide for more details. tf.compat.v1.raw_ops.EncodePng
tf.raw_ops.EncodePng(
image, compression=-1, name=None
)
image is a 3-D uint8 or uint16 Tensor of shape [height, width, channels] where channels is: 1: for grayscale. 2: for grayscale + alpha. 3: for RGB. 4: for RGBA. The ZLIB compression lev... | |
doc_29575 |
Each process scatters list of input tensors to all processes in a group and return gathered list of tensors in output list. Parameters
output_tensor_list (list[Tensor]) – List of tensors to be gathered one per rank.
input_tensor_list (list[Tensor]) – List of tensors to scatter one per rank.
group (ProcessGroup,... | |
doc_29576 | sklearn.utils.register_parallel_backend(name, factory, make_default=False) [source]
Register a new Parallel backend factory. The new backend can then be selected by passing its name as the backend argument to the Parallel class. Moreover, the default backend can be overwritten globally by setting make_default=True. T... | |
doc_29577 |
Alias for is_monotonic. | |
doc_29578 |
Predict x- and y-coordinates using the estimated model. Parameters
tarray
Angles in circle in radians. Angles start to count from positive x-axis to positive y-axis in a right-handed system.
params(5, ) array, optional
Optional custom parameter set. Returns
xy(…, 2) array
Predicted x- and y-coordina... | |
doc_29579 | See Migration guide for more details. tf.compat.v1.keras.layers.AlphaDropout
tf.keras.layers.AlphaDropout(
rate, noise_shape=None, seed=None, **kwargs
)
Alpha Dropout is a Dropout that keeps mean and variance of inputs to their original values, in order to ensure the self-normalizing property even after this dro... | |
doc_29580 |
Fetch the concrete values of args and kwargs of node n from the current execution environment. Parameters
n (Node) – The node for which args and kwargs should be fetched. Returns
args and kwargs with concrete values for n. Return type
Tuple[Tuple, Dict] | |
doc_29581 | See torch.cosh() | |
doc_29582 | Return the cosine of x. | |
doc_29583 | Suspend execution of the calling thread until the delivery of one of the signals specified in the signal set sigset. The function accepts the signal and removes it from the pending list of signals. If one of the signals in sigset is already pending for the calling thread, the function will return immediately with infor... | |
doc_29584 | returns a tuple with radial distance, inclination and azimuthal angle. as_spherical() -> (r, theta, phi) Returns a tuple (r, theta, phi) where r is the radial distance, theta is the inclination angle and phi is the azimuthal angle. | |
doc_29585 |
Apply transforms, and predict_proba of the final estimator Parameters
Xiterable
Data to predict on. Must fulfill input requirements of first step of the pipeline. Returns
y_probaarray-like of shape (n_samples, n_classes) | |
doc_29586 | Push ch so the next get_wch() will return it. Note Only one ch can be pushed before get_wch() is called. New in version 3.3. | |
doc_29587 |
Whether each element in the DataFrame is contained in values. Parameters
values:iterable, Series, DataFrame or dict
The result will only be true at a location if all the labels match. If values is a Series, that’s the index. If values is a dict, the keys must be the column names, which must match. If values is ... | |
doc_29588 | See torch.qr() | |
doc_29589 | tf.compat.v1.tpu.rewrite(
computation, inputs=None, infeed_queue=None, device_assignment=None, name=None,
xla_options=None
)
Args
computation A Python function that builds a computation to apply to the input. If the function takes n inputs, 'inputs' should be a list of n tensors. computation may retur... | |
doc_29590 |
Computes the squared Mahalanobis distances of given observations. Parameters
Xarray-like of shape (n_samples, n_features)
The observations, the Mahalanobis distances of the which we compute. Observations are assumed to be drawn from the same distribution than the data used in fit. Returns
distndarray of s... | |
doc_29591 |
Return a tuple of three or four floats from 0-1. | |
doc_29592 | Context manager to swap out an attribute with a new object. Usage: with swap_attr(obj, "attr", 5):
...
This will set obj.attr to 5 for the duration of the with block, restoring the old value at the end of the block. If attr doesn’t exist on obj, it will be created and then deleted at the end of the block. The old ... | |
doc_29593 |
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_29594 | Gets the array system types currently supported. get_arraytypes () -> tuple DEPRECATED: Checks, which array systems are available and returns them as a tuple of strings. The values of the tuple can be used directly in the pygame.sndarray.use_arraytype() () method. If no supported array system could be found, None wil... | |
doc_29595 | tf.experimental.numpy.zeros(
shape, dtype=float
)
See the NumPy documentation for numpy.zeros. | |
doc_29596 |
Return specified diagonals. In NumPy 1.9 the returned array is a read-only view instead of a copy as in previous NumPy versions. In a future version the read-only restriction will be removed. Refer to numpy.diagonal for full documentation. See also numpy.diagonal
equivalent function | |
doc_29597 | operator.__add__(a, b)
Return a + b, for a and b numbers. | |
doc_29598 | Returns the dimension of the geometry:
0 for Points and MultiPoints
1 for LineStrings and MultiLineStrings
2 for Polygons and MultiPolygons
-1 for empty GeometryCollections the maximum dimension of its elements for non-empty GeometryCollections | |
doc_29599 | select.poll()-based selector. |
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