_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_21000 |
Evaluates the Einstein summation convention on the operands. Using the Einstein summation convention, many common multi-dimensional, linear algebraic array operations can be represented in a simple fashion. In implicit mode einsum computes these values. In explicit mode, einsum provides further flexibility to compute... | |
doc_21001 |
Boolean indicating whether the byte order of this dtype is native to the platform. | |
doc_21002 | Returns the filesystem encoding that should be used. Note that this is different from the Python understanding of the filesystem encoding which might be deeply flawed. Do not use this value against Python’s string APIs because it might be different. See The Filesystem for the exact behavior. The concept of a filesystem... | |
doc_21003 | Returns the array size. shape -> tuple of int's A tuple or length ndim giving the length of each dimension. Analogous to Surface.get_size(). New in pygame 1.9.2. | |
doc_21004 | Set the method which should be used to start child processes. method can be 'fork', 'spawn' or 'forkserver'. Note that this should be called at most once, and it should be protected inside the if __name__ == '__main__' clause of the main module. New in version 3.4. | |
doc_21005 | See torch.triu() | |
doc_21006 | The standard output device. Initially, this is the active console screen buffer, CONOUT$. | |
doc_21007 |
Parameters
filenamestr or path-like or file-like
Output target; if a string, a file will be opened for writing.
metadatadict[str, Any], optional
Metadata in the SVG file defined as key-value pairs of strings, datetimes, or lists of strings, e.g., {'Creator': 'My software',
'Contributor': ['Me', 'My Friend']... | |
doc_21008 |
Return the picking behavior of the artist. The possible values are described in set_picker. See also
set_picker, pickable, pick | |
doc_21009 |
Returns x1 * 2**x2, element-wise. The mantissas x1 and twos exponents x2 are used to construct floating point numbers x1 * 2**x2. Parameters
x1array_like
Array of multipliers.
x2array_like, int
Array of twos exponents. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the ... | |
doc_21010 | See torch.outer(). | |
doc_21011 | See Migration guide for more details. tf.compat.v1.strings.unicode_decode_with_offsets
tf.strings.unicode_decode_with_offsets(
input, input_encoding, errors='replace', replacement_char=65533,
replace_control_characters=False, name=None
)
This op is similar to tf.strings.decode(...), but it also returns the s... | |
doc_21012 | Return the re-combined version of the original URL as a string. This may differ from the original URL in that the scheme may be normalized to lower case and empty components may be dropped. Specifically, empty parameters, queries, and fragment identifiers will be removed. For urldefrag() results, only empty fragment id... | |
doc_21013 | Returns the exponent of the magnitude of the operand’s MSD. | |
doc_21014 | tf.compat.v1.train.maybe_shuffle_batch_join(
tensors_list, batch_size, capacity, min_after_dequeue, keep_input, seed=None,
enqueue_many=False, shapes=None, allow_smaller_final_batch=False,
shared_name=None, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructio... | |
doc_21015 |
Add a rotation (in radians) to this transform in place. Returns self, so this method can easily be chained with more calls to rotate(), rotate_deg(), translate() and scale(). | |
doc_21016 |
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_21017 |
Check whether an array-like or dtype is of the object dtype. Parameters
arr_or_dtype:array-like or dtype
The array-like or dtype to check. Returns
boolean
Whether or not the array-like or dtype is of the object dtype. Examples
>>> is_object_dtype(object)
True
>>> is_object_dtype(int)
False
>>> is_obj... | |
doc_21018 | Computes the logarithmic derivative of the gamma function on input. ψ(x)=ddxln(Γ(x))=Γ′(x)Γ(x)\psi(x) = \frac{d}{dx} \ln\left(\Gamma\left(x\right)\right) = \frac{\Gamma'(x)}{\Gamma(x)}
Parameters
input (Tensor) – the tensor to compute the digamma function on Keyword Arguments
out (Tensor, optional) – the output... | |
doc_21019 |
Return whether all elements are True, potentially over an axis. Returns True unless there at least one element within a series or along a Dataframe axis that is False or equivalent (e.g. zero or empty). Parameters
axis:{0 or ‘index’, 1 or ‘columns’, None}, default 0
Indicate which axis or axes should be reduced... | |
doc_21020 | Path to a custom template that will be used by the admin site password change view. | |
doc_21021 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceApplyFtrl
tf.raw_ops.ResourceApplyFtrl(
var, accum, linear, grad, lr, l1, l2, lr_power, use_locking=False,
multiply_linear_by_lr=False, name=None
)
accum_new = accum + grad * grad linear += grad - (accum_new^(-lr_power) - accum^(-lr_power)) /... | |
doc_21022 |
Return whether the given writable file-like object requires Unicode to be written to it. | |
doc_21023 | Get a character. Note that the integer returned does not have to be in ASCII range: function keys, keypad keys and so on are represented by numbers higher than 255. In no-delay mode, return -1 if there is no input, otherwise wait until a key is pressed. | |
doc_21024 | Return True if the path points to a Unix socket (or a symbolic link pointing to a Unix socket), 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_21025 |
Set the text fontsize. | |
doc_21026 |
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
backgroundcolor color
bbox dict with properties for patches.FancyBboxPatch
... | |
doc_21027 | The Example that failed. | |
doc_21028 |
Returns an iterator over module buffers. Parameters
recurse (bool) – if True, then yields buffers of this module and all submodules. Otherwise, yields only buffers that are direct members of this module. Yields
torch.Tensor – module buffer Example: >>> for buf in model.buffers():
>>> print(type(buf), buf.si... | |
doc_21029 | Converts an integer into a bytes representation using characters from the set [A .. P]. | |
doc_21030 |
DateOffset subclass representing possibly n custom business days. Parameters
n:int, default 1
The number of months represented.
normalize:bool, default False
Normalize start/end dates to midnight before generating date range.
weekmask:str, Default ‘Mon Tue Wed Thu Fri’
Weekmask of valid business days, p... | |
doc_21031 |
Return the list of minor Ticks.
Examples using matplotlib.axis.Axis.get_minor_ticks
Centering labels between ticks | |
doc_21032 | get the mapped color value at a single pixel get_at_mapped((x, y)) -> Color Return the integer value of the given pixel. If the pixel position is outside the area of the Surface an IndexError exception will be raised. This method is intended for pygame unit testing. It unlikely has any use in an application. This fun... | |
doc_21033 | tf.linalg.l2_normalize, tf.nn.l2_normalize
tf.math.l2_normalize(
x, axis=None, epsilon=1e-12, name=None
)
For a 1-D tensor with axis = 0, computes output = x / sqrt(max(sum(x**2), epsilon))
For x with more dimensions, independently normalizes each 1-D slice along dimension axis.
Args
x A Tensor.
ax... | |
doc_21034 | Finds all the modules below a package. This can be useful to automatically import all views / controllers so that their metaclasses / function decorators have a chance to register themselves on the application. Packages are not returned unless include_packages is True. This can also recursively list modules but in that... | |
doc_21035 | Returns the address of the first element of self tensor. | |
doc_21036 | operator.__pow__(a, b)
Return a ** b, for a and b numbers. | |
doc_21037 |
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_21038 |
Reverse the transformation operation Parameters
Xarray of shape [n_samples, n_selected_features]
The input samples. Returns
X_rarray of shape [n_samples, n_original_features]
X with columns of zeros inserted where features would have been removed by transform. | |
doc_21039 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalNonSerializableDataset
tf.raw_ops.ExperimentalNonSerializableDataset(
input_dataset, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
output_types A list of tf.DTypes that has length >= 1. ... | |
doc_21040 |
Bases: object Draw a colorbar in an existing axes. Typically, colorbars are created using Figure.colorbar or pyplot.colorbar and associated with ScalarMappables (such as an AxesImage generated via imshow). In order to draw a colorbar not associated with other elements in the figure, e.g. when showing a colormap by it... | |
doc_21041 | Run the test without collecting the result. This allows exceptions raised by the test to be propagated to the caller, and can be used to support running tests under a debugger. | |
doc_21042 |
Set the artist transform. Parameters
tTransform | |
doc_21043 | See Migration guide for more details. tf.compat.v1.raw_ops.DepthwiseConv2dNativeBackpropFilter
tf.raw_ops.DepthwiseConv2dNativeBackpropFilter(
input, filter_sizes, out_backprop, strides, padding, explicit_paddings=[],
data_format='NHWC', dilations=[1, 1, 1, 1], name=None
)
Args
input A Tensor. Must ... | |
doc_21044 | Return True if its parameter is a dataclass or an instance of one, otherwise return False. If you need to know if a class is an instance of a dataclass (and not a dataclass itself), then add a further check for not
isinstance(obj, type): def is_dataclass_instance(obj):
return is_dataclass(obj) and not isinstance(ob... | |
doc_21045 | The name of the field on the model that contains the slug. By default, slug_field is 'slug'. | |
doc_21046 |
A golden eagle. Suitable for examples on segmentation, Hough transforms, and corner detection. Returns
eagle(2019, 1826) uint8 ndarray
Eagle image. Notes No copyright restrictions. CC0 by the photographer (Dayane Machado). | |
doc_21047 |
Bases: object Control handles for canvas tools. Parameters
axmatplotlib.axes.Axes
Matplotlib axes where tool handles are displayed.
positions1D array
Positions of handles in data coordinates.
direction{"horizontal", "vertical"}
Direction of handles, either 'vertical' or 'horizontal'
line_propsdict, op... | |
doc_21048 | tf.initializers.LecunNormal, tf.initializers.lecun_normal, tf.keras.initializers.lecun_normal
tf.keras.initializers.LecunNormal(
seed=None
)
Also available via the shortcut function tf.keras.initializers.lecun_normal. Initializers allow you to pre-specify an initialization strategy, encoded in the Initializer ob... | |
doc_21049 |
Creates a quantized module from a float module or qparams_dict. Parameters
mod (Module) – a float module, either produced by torch.quantization utilities or provided by the user | |
doc_21050 | Get a regular expression that can be used with the regex(3) function to recognize a negative response to a yes/no question. | |
doc_21051 |
Make plots of Series or DataFrame. Uses the backend specified by the option plotting.backend. By default, matplotlib is used. Parameters
data:Series or DataFrame
The object for which the method is called.
x:label or position, default None
Only used if data is a DataFrame.
y:label, position or list of labe... | |
doc_21052 | Return True or False, depending on whether the programmer can change the colors displayed by the terminal. | |
doc_21053 | Parse a URL into six components, returning a 6-item named tuple. This corresponds to the general structure of a URL: scheme://netloc/path;parameters?query#fragment. Each tuple item is a string, possibly empty. The components are not broken up into smaller parts (for example, the network location is a single string), an... | |
doc_21054 | Returns sum(y^2) - sum(y)^2/N (“sum of squares” of the dependent variable) as a float, or default if there aren’t any matching rows. | |
doc_21055 |
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_21056 | Create zip file at zip_dir and zip_basename with extension zip which contains the files in script_name. name_in_zip is the archive name. Return a tuple containing (full path, full path of archive name). | |
doc_21057 |
Check if types match. New in version 1.7.0. Parameters
otherobject
Class instance. Returns
boolboolean
True if other is same class as self | |
doc_21058 |
Return the data of a masked array as an ndarray. Return the data of a (if any) as an ndarray if a is a MaskedArray, else return a as a ndarray or subclass (depending on subok) if not. Parameters
aarray_like
Input MaskedArray, alternatively a ndarray or a subclass thereof.
subokbool
Whether to force the outp... | |
doc_21059 |
Return an array with the elements of self converted to uppercase. See also char.upper | |
doc_21060 | Exception raised when an unexpected reply is received from the server. | |
doc_21061 |
Bases: matplotlib.projections.geo._GeoTransform Create a new geographical transform. Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space. has_inverse=True
True if this transform has a corresponding inverse transform.
inverted()[source]
Ret... | |
doc_21062 | Shuffle the sequence x in place. The optional argument random is a 0-argument function returning a random float in [0.0, 1.0); by default, this is the function random(). To shuffle an immutable sequence and return a new shuffled list, use sample(x, k=len(x)) instead. Note that even for small len(x), the total number of... | |
doc_21063 |
Mean squared logarithmic error regression loss. Read more in the User Guide. Parameters
y_truearray-like of shape (n_samples,) or (n_samples, n_outputs)
Ground truth (correct) target values.
y_predarray-like of shape (n_samples,) or (n_samples, n_outputs)
Estimated target values.
sample_weightarray-like o... | |
doc_21064 | Packs a list of homogeneous items. This method is useful for lists with an indeterminate size; i.e. the size is not available until the entire list has been walked. For each item in the list, an unsigned integer 1 is packed first, followed by the data value from the list. pack_item is the function that is called to pac... | |
doc_21065 |
Return self>=value. | |
doc_21066 | '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_21067 |
Plot matched features. Parameters
axmatplotlib.axes.Axes
Matches and image are drawn in this ax.
image1(N, M [, 3]) array
First grayscale or color image.
image2(N, M [, 3]) array
Second grayscale or color image.
keypoints1(K1, 2) array
First keypoint coordinates as (row, col).
keypoints2(K2, 2) ar... | |
doc_21068 |
Memory usage of the values. Parameters
deep:bool, default False
Introspect the data deeply, interrogate object dtypes for system-level memory consumption. Returns
bytes used
See also numpy.ndarray.nbytes
Total bytes consumed by the elements of the array. Notes Memory usage does not include memory ... | |
doc_21069 | Return the original stdout set by record_original_stdout() or sys.stdout if it’s not set. | |
doc_21070 | An assignment. targets is a list of nodes, and value is a single node. Multiple nodes in targets represents assigning the same value to each. Unpacking is represented by putting a Tuple or List within targets.
type_comment
type_comment is an optional string with the type annotation as a comment.
>>> print(ast.dum... | |
doc_21071 |
The last colorbar associated with this ScalarMappable. May be None. | |
doc_21072 |
Adjust the Axes for a specified data aspect ratio. Depending on get_adjustable this will modify either the Axes box (position) or the view limits. In the former case, get_anchor will affect the position. See also matplotlib.axes.Axes.set_aspect
For a description of aspect ratio handling. matplotlib.axes.Axes.set_... | |
doc_21073 |
Set global scikit-learn configuration New in version 0.19. Parameters
assume_finitebool, default=None
If True, validation for finiteness will be skipped, saving time, but leading to potential crashes. If False, validation for finiteness will be performed, avoiding error. Global default: False. New in version... | |
doc_21074 | Returns a copy of x with the sign inverted. | |
doc_21075 |
Compute the kernel between arrays X and optional array Y. This method takes either a vector array or a kernel matrix, and returns a kernel matrix. If the input is a vector array, the kernels are computed. If the input is a kernel matrix, it is returned instead. This method provides a safe way to take a kernel matrix ... | |
doc_21076 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixSoftmaxGrad
tf.raw_ops.SparseMatrixSoftmaxGrad(
softmax, grad_softmax, type, name=None
)
Args
softmax A Tensor of type variant. A CSRSparseMatrix.
grad_softmax A Tensor of type variant. The gradient of softmax.
type A tf.... | |
doc_21077 |
Set clip rectangle. Calls pop() and push(). | |
doc_21078 | Returns a string suitable for an RFC 2822-compliant Message-ID header. Optional idstring if given, is a string used to strengthen the uniqueness of the message id. Optional domain if given provides the portion of the msgid after the ‘@’. The default is the local hostname. It is not normally necessary to override this d... | |
doc_21079 |
Set the theta gridlines in a polar plot. Parameters
anglestuple with floats, degrees
The angles of the theta gridlines.
labelstuple with strings or None
The labels to use at each theta gridline. The projections.polar.ThetaFormatter will be used if None.
fmtstr or None
Format string used in matplotlib.ti... | |
doc_21080 | A hardware resource list. | |
doc_21081 | Decompress data, returning a bytes object containing the uncompressed data corresponding to at least part of the data in string. This data should be concatenated to the output produced by any preceding calls to the decompress() method. Some of the input data may be preserved in internal buffers for later processing. If... | |
doc_21082 |
Alias for self._offset. | |
doc_21083 | returns a Color where the r,g,b components have been multiplied by the alpha. premul_alpha() -> Color Returns a new Color where each of the red, green and blue colour channels have been multiplied by the alpha channel of the original color. The alpha channel remains unchanged. This is useful when working with the BLE... | |
doc_21084 | Computes the Cholesky decomposition of a Hermitian (or symmetric for real-valued matrices) positive-definite matrix or the Cholesky decompositions for a batch of such matrices. Each decomposition has the form: input=LLH\text{input} = LL^H
where LL is a lower-triangular matrix and LHL^H is the conjugate transpose of... | |
doc_21085 | This class implements parsing of form data for Werkzeug. By itself it can parse multipart and url encoded form data. It can be subclassed and extended but for most mimetypes it is a better idea to use the untouched stream and expose it as separate attributes on a request object. Changelog New in version 0.8. Paramet... | |
doc_21086 | In-place version of clamp() | |
doc_21087 | as blueprints can be registered multiple times with the application and not everything wants to be registered multiple times on it, this attribute can be used to figure out if the blueprint was registered in the past already. | |
doc_21088 |
Calculate the rolling sum. Parameters
*args
For NumPy compatibility and will not have an effect on the result.
engine:str, default None
'cython' : Runs the operation through C-extensions from cython. 'numba' : Runs the operation through JIT compiled code from numba.
None : Defaults to 'cython' or globally s... | |
doc_21089 | False if the decompress() method can provide more decompressed data before requiring new uncompressed input. New in version 3.5. | |
doc_21090 |
Set the edgecolor(s) of the collection. Parameters
ccolor or list of colors or 'face'
The collection edgecolor(s). If a sequence, the patches cycle through it. If 'face', match the facecolor. | |
doc_21091 | Specify the sampling frequency in frames per second. | |
doc_21092 |
Remove a callback based on its observer id. See also add_callback | |
doc_21093 | Return the directory name of pathname path. This is the first element of the pair returned by passing path to the function split(). Changed in version 3.6: Accepts a path-like object. | |
doc_21094 |
Initialize self. See help(type(self)) for accurate signature. | |
doc_21095 | See Migration guide for more details. tf.compat.v1.linalg.eigvalsh, tf.compat.v1.self_adjoint_eigvals
tf.linalg.eigvalsh(
tensor, name=None
)
Note: If your program backpropagates through this function, you should replace it with a call to tf.linalg.eigh (possibly ignoring the second output) to avoid computing t... | |
doc_21096 |
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_21097 |
tick_loc, tick_angle, tick_label | |
doc_21098 | Stop collecting profiling data. Only in cProfile. | |
doc_21099 |
Return str(self). |
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