_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_18300 | spammish repetition': >>> import hashlib
>>> m = hashlib.sha256()
>>> m.update(b"Nobody inspects")
>>> m.update(b" the spammish repetition")
>>> m.digest()
b'\x03\x1e\xdd}Ae\x15\x93\xc5\xfe\\\x00o\xa5u+7\xfd\xdf\xf7\xbcN\x84:\xa6\xaf\x0c\x95\x0fK\x94\x06'
>>> m.digest_size
32
>>> m.block_size
64
More condensed: >>> ha... | |
doc_18301 |
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_18302 |
Implements Adadelta algorithm. It has been proposed in ADADELTA: An Adaptive Learning Rate Method. Parameters
params (iterable) – iterable of parameters to optimize or dicts defining parameter groups
rho (float, optional) – coefficient used for computing a running average of squared gradients (default: 0.9)
eps... | |
doc_18303 | See Migration guide for more details. tf.compat.v1.keras.utils.get_custom_objects
tf.keras.utils.get_custom_objects()
Updating and clearing custom objects using custom_object_scope is preferred, but get_custom_objects can be used to directly access the current collection of custom objects. Example: get_custom_object... | |
doc_18304 | see torch.ravel() | |
doc_18305 | Create a new response object from an application output. This works best if you pass it an application that returns a generator all the time. Sometimes applications may use the write() callable returned by the start_response function. This tries to resolve such edge cases automatically. But if you don’t get the expecte... | |
doc_18306 |
The number of input dimensions of this transform. Must be overridden (with integers) in the subclass. | |
doc_18307 | Return information about the filesystem containing the file associated with file descriptor fd, like statvfs(). As of Python 3.3, this is equivalent to os.statvfs(fd). Availability: Unix. | |
doc_18308 |
Make a box plot from DataFrame columns. Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles. The box extends from the Q1 to Q3 quartile values of the data, with a line at the med... | |
doc_18309 |
Alias for set_family. One-way alias only: the getter differs. Parameters
fontname{FONTNAME, 'serif', 'sans-serif', 'cursive', 'fantasy', 'monospace'}
See also font_manager.FontProperties.set_family | |
doc_18310 | Adds a blank line (indicating the end of the HTTP headers in the response) to the headers buffer and calls flush_headers(). Changed in version 3.2: The buffered headers are written to the output stream. | |
doc_18311 | tf.compat.v1.app.run(
main=None, argv=None
) | |
doc_18312 |
Draw a glyph described by info to the reference point (ox, oy). | |
doc_18313 | Skew coefficients used to georeference the raster, as a point object with x and y members. In case of north up images, these coefficients are both 0. >>> rst = GDALRaster({'width': 10, 'height': 20, 'srid': 4326})
>>> rst.skew
[0.0, 0.0]
>>> rst.skew.x = 3
>>> rst.skew
[3.0, 0.0] | |
doc_18314 |
Return Multiplication of series and other, element-wise (binary operator rmul). 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 missi... | |
doc_18315 | See Migration guide for more details. tf.compat.v1.raw_ops.StatefulTruncatedNormal
tf.raw_ops.StatefulTruncatedNormal(
resource, algorithm, shape, dtype=tf.dtypes.float32, name=None
)
The generated values follow a normal distribution with mean 0 and standard deviation 1, except that values whose magnitude is mor... | |
doc_18316 |
Return whether any element is True, potentially over an axis. Returns False unless there is at least one element within a series or along a Dataframe axis that is True or equivalent (e.g. non-zero or non-empty). Parameters
axis:{0 or ‘index’, 1 or ‘columns’, None}, default 0
Indicate which axis or axes should b... | |
doc_18317 | opens, initializes, and starts capturing start() -> None Opens the camera device, attempts to initialize it, and begins recording images to a buffer. The camera must be started before any of the below functions can be used. | |
doc_18318 |
Compute the roots of a Chebyshev series. Return the roots (a.k.a. “zeros”) of the polynomial \[p(x) = \sum_i c[i] * T_i(x).\] Parameters
c1-D array_like
1-D array of coefficients. Returns
outndarray
Array of the roots of the series. If all the roots are real, then out is also real, otherwise it is comp... | |
doc_18319 | def login():
user = get_user(request.form['username'])
if user.check_password(request.form['password']):
login_user(user)
app.logger.info('%s logged in successfully', user.username)
return redirect(url_for('index'))
else:
app.logger.info('%s failed to log in', user.username)... | |
doc_18320 | window.chgat(num, attr)
window.chgat(y, x, attr)
window.chgat(y, x, num, attr)
Set the attributes of num characters at the current cursor position, or at position (y, x) if supplied. If num is not given or is -1, the attribute will be set on all the characters to the end of the line. This function moves cursor to... | |
doc_18321 | One for clause in a comprehension. target is the reference to use for each element - typically a Name or Tuple node. iter is the object to iterate over. ifs is a list of test expressions: each for clause can have multiple ifs. is_async indicates a comprehension is asynchronous (using an async for instead of for). The v... | |
doc_18322 | tf.compat.v1.keras.estimator.model_to_estimator(
keras_model=None, keras_model_path=None, custom_objects=None, model_dir=None,
config=None, checkpoint_format='saver', metric_names_map=None,
export_outputs=None
)
If you use infrastructure or other tooling that relies on Estimators, you can still build a Ker... | |
doc_18323 |
Normalize value data in the [vmin, vmax] interval into the [0.0, 1.0] interval and return it. Parameters
value
Data to normalize.
clipbool
If None, defaults to self.clip (which defaults to False). Notes If not already initialized, self.vmin and self.vmax are initialized using self.autoscale_None(value). | |
doc_18324 | class ast.Nonlocal(names)
global and nonlocal statements. names is a list of raw strings. >>> print(ast.dump(ast.parse('global x,y,z'), indent=4))
Module(
body=[
Global(
names=[
'x',
'y',
'z'])],
type_ignores=[])
>>> print(ast.dump(ast.parse... | |
doc_18325 | class sklearn.exceptions.FitFailedWarning [source]
Warning class used if there is an error while fitting the estimator. This Warning is used in meta estimators GridSearchCV and RandomizedSearchCV and the cross-validation helper function cross_val_score to warn when there is an error while fitting the estimator. Chan... | |
doc_18326 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseConditionalAccumulator
tf.raw_ops.SparseConditionalAccumulator(
dtype, shape, container='', shared_name='',
reduction_type='MEAN', name=None
)
The accumulator accepts gradients marked with local_step greater or equal to the most recent global_s... | |
doc_18327 | class collections.abc.MutableSequence
class collections.abc.ByteString
ABCs for read-only and mutable sequences. Implementation note: Some of the mixin methods, such as __iter__(), __reversed__() and index(), make repeated calls to the underlying __getitem__() method. Consequently, if __getitem__() is implemented w... | |
doc_18328 | Returns the 1-based index of the last object on the page, relative to all of the objects in the paginator’s list. For example, when paginating a list of 5 objects with 2 objects per page, the second page’s end_index() would return 4. | |
doc_18329 | alias of torch.distributions.constraints._IntegerInterval | |
doc_18330 |
Local entropy. The entropy is computed using base 2 logarithm i.e. the filter returns the minimum number of bits needed to encode the local gray level distribution. Parameters
image([P,] M, N) ndarray (uint8, uint16)
Input image.
selemndarray
The neighborhood expressed as an ndarray of 1’s and 0’s.
out([P... | |
doc_18331 | see how held keys are repeated get_repeat() -> (delay, interval) Get the delay and interval keyboard repeat values. Refer to pygame.key.set_repeat() for a description of these values. New in pygame 1.8. | |
doc_18332 | tf.compat.v1.data.experimental.SparseTensorStructure(
dtype, shape
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.SparseTensorSpec instead. | |
doc_18333 | Installs the citext extension. | |
doc_18334 | Releases savepoint sid. The changes performed since the savepoint was created become part of the transaction. | |
doc_18335 | This method does an unregister() followed by a register(). It is (a bit) more efficient that doing the same explicitly. | |
doc_18336 | Returns a dictionary representing the template context. The keyword arguments provided will make up the returned context. Example usage: def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
context['number'] = random.randrange(1, 100)
return context
The template context of all... | |
doc_18337 |
Convert timezone-aware Timestamp to another time zone. Parameters
tz:str, pytz.timezone, dateutil.tz.tzfile or None
Time zone for time which Timestamp will be converted to. None will remove timezone holding UTC time. Returns
converted:Timestamp
Raises
TypeError
If Timestamp is tz-naive. Examples... | |
doc_18338 |
Alias for set_fontvariant. | |
doc_18339 | “Preferred” blocksize for efficient file system I/O. Writing to a file in smaller chunks may cause an inefficient read-modify-rewrite. | |
doc_18340 |
Add an entire element. This is the same as calling start(), data(), and end() in sequence. The text argument can be omitted. | |
doc_18341 |
Transform X to ordinal codes. Parameters
Xarray-like, shape [n_samples, n_features]
The data to encode. Returns
X_outsparse matrix or a 2-d array
Transformed input. | |
doc_18342 | Get the minimum priority value for policy. policy is one of the scheduling policy constants above. | |
doc_18343 | Receive notification of a skipped entity. The Parser will invoke this method once for each entity skipped. Non-validating processors may skip entities if they have not seen the declarations (because, for example, the entity was declared in an external DTD subset). All processors may skip external entities, depending on... | |
doc_18344 | Number of features seen during fit. | |
doc_18345 | Define the widget layout for given style. If layoutspec is omitted, return the layout specification for given style. layoutspec, if specified, is expected to be a list or some other sequence type (excluding strings), where each item should be a tuple and the first item is the layout name and the second item should have... | |
doc_18346 |
Returns an element-wise indication of the sign of a number. The sign function returns -1 if x < 0, 0 if x==0, 1 if x > 0. nan is returned for nan inputs. For complex inputs, the sign function returns sign(x.real) + 0j if x.real != 0 else sign(x.imag) + 0j. complex(nan, 0) is returned for complex nan inputs. Paramete... | |
doc_18347 |
Export the styles applied to the current Styler. Can be applied to a second Styler with Styler.use. Returns
styles:dict
See also Styler.use
Set the styles on the current Styler. Styler.copy
Create a copy of the current Styler. Notes This method is designed to copy non-data dependent attributes of one ... | |
doc_18348 | Return the exception that was set on this Future. The exception (or None if no exception was set) is returned only if the Future is done. If the Future has been cancelled, this method raises a CancelledError exception. If the Future isn’t done yet, this method raises an InvalidStateError exception. | |
doc_18349 |
Calculate the illumination intensity for the normal vectors of a surface using the defined azimuth and elevation for the light source. Imagine an artificial sun placed at infinity in some azimuth and elevation position illuminating our surface. The parts of the surface that slope toward the sun should brighten while ... | |
doc_18350 | get the image of the mouse cursor get_cursor() -> (size, hotspot, xormasks, andmasks) Get the information about the mouse system cursor. The return value is the same data as the arguments passed into pygame.mouse.set_cursor(). Note This method is unavailable with pygame 2, as SDL2 does not provide the underlying cod... | |
doc_18351 |
Returns the indices that would sort an array. Perform an indirect sort along the given axis using the algorithm specified by the kind keyword. It returns an array of indices of the same shape as a that index data along the given axis in sorted order. Parameters
aarray_like
Array to sort.
axisint or None, opti... | |
doc_18352 |
Split an array into multiple sub-arrays. Please refer to the split documentation. The only difference between these functions is that array_split allows indices_or_sections to be an integer that does not equally divide the axis. For an array of length l that should be split into n sections, it returns l % n sub-array... | |
doc_18353 | Open the file path and set various flags according to flags and possibly its mode according to mode. When computing mode, the current umask value is first masked out. Return the file descriptor for the newly opened file. The new file descriptor is non-inheritable. For a description of the flag and mode values, see the ... | |
doc_18354 |
Evaluate a 3-D Chebyshev series at points (x, y, z). This function returns the values: \[p(x,y,z) = \sum_{i,j,k} c_{i,j,k} * T_i(x) * T_j(y) * T_k(z)\] The parameters x, y, and z are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars and they must have the same shape afte... | |
doc_18355 |
Truncate series to the given degree. Reduce the degree of the series to deg by discarding the high order terms. If deg is greater than the current degree a copy of the current series is returned. This can be useful in least squares where the coefficients of the high degree terms may be very small. New in version 1.5... | |
doc_18356 |
Cumulative product 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_18357 | Encode the contents of the binary input file and write the resulting base64 encoded data to the output file. input and output must be file objects. input will be read until input.read() returns an empty bytes object. encode() inserts a newline character (b'\n') after every 76 bytes of the output, as well as ensuring th... | |
doc_18358 | Return the file descriptor or handle used by the connection. | |
doc_18359 | Root module for the application, e.g. <module 'django.contrib.admin' from
'django/contrib/admin/__init__.py'>. | |
doc_18360 | class UpdateCacheMiddleware
class FetchFromCacheMiddleware
Enable the site-wide cache. If these are enabled, each Django-powered page will be cached for as long as the CACHE_MIDDLEWARE_SECONDS setting defines. See the cache documentation. “Common” middleware
class CommonMiddleware
Adds a few conveniences for ... | |
doc_18361 | exception resource.error
A deprecated alias of OSError. Changed in version 3.3: Following PEP 3151, this class was made an alias of OSError.
Resource Limits Resources usage can be limited using the setrlimit() function described below. Each resource is controlled by a pair of limits: a soft limit and a hard limit... | |
doc_18362 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseMatrixSparseCholesky
tf.raw_ops.SparseMatrixSparseCholesky(
input, permutation, type, name=None
)
Computes the Sparse Cholesky decomposition of a sparse matrix, with the given fill-in reducing permutation. The input sparse matrix and the fill-in re... | |
doc_18363 | In Babyl mailboxes, the headers of a message are not stored contiguously with the body of the message. To generate a file-like representation, the headers and body are copied together into an io.BytesIO instance, which has an API identical to that of a file. As a result, the file-like object is truly independent of the... | |
doc_18364 |
Self-training classifier. This class allows a given supervised classifier to function as a semi-supervised classifier, allowing it to learn from unlabeled data. It does this by iteratively predicting pseudo-labels for the unlabeled data and adding them to the training set. The classifier will continue iterating until... | |
doc_18365 | Exhaust the stream. This consumes all the data left until the limit is reached. Parameters
chunk_size (int) – the size for a chunk. It will read the chunk until the stream is exhausted and throw away the results. Return type
None | |
doc_18366 | Returns the next segment on the PATH_INFO or None if there is none. Works like pop_path_info() without modifying the environment: >>> env = {'SCRIPT_NAME': '/foo', 'PATH_INFO': '/a/b'}
>>> peek_path_info(env)
'a'
>>> peek_path_info(env)
'a'
If the charset is set to None bytes are returned. Changelog Changed in versio... | |
doc_18367 | Maximum size of a deque or None if unbounded. New in version 3.1. | |
doc_18368 |
Shape tuple of the sub-array if this data type describes a sub-array, and () otherwise. Examples >>> dt = np.dtype(('i4', 4))
>>> dt.shape
(4,)
>>> dt = np.dtype(('i4', (2, 3)))
>>> dt.shape
(2, 3) | |
doc_18369 | See Migration guide for more details. tf.compat.v1.raw_ops.CacheDataset
tf.raw_ops.CacheDataset(
input_dataset, filename, output_types, output_shapes, name=None
)
A CacheDataset will iterate over the input_dataset, and store tensors. If the cache already exists, the cache will be used. If the cache is inappropri... | |
doc_18370 | See Migration guide for more details. tf.compat.v1.raw_ops.LookupTableFindV2
tf.raw_ops.LookupTableFindV2(
table_handle, keys, default_value, name=None
)
The tensor keys must of the same type as the keys of the table. The output values is of the type of the table values. The scalar default_value is the value out... | |
doc_18371 | See Migration guide for more details. tf.compat.v1.erf, tf.compat.v1.math.erf
tf.math.erf(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as x. If x is a S... | |
doc_18372 | Returns e ** x. | |
doc_18373 | See Migration guide for more details. tf.compat.v1.debugging.is_numeric_tensor, tf.compat.v1.is_numeric_tensor
tf.debugging.is_numeric_tensor(
tensor
)
Specifically, returns True if the dtype of tensor is one of the following: tf.float32 tf.float64 tf.int8 tf.int16 tf.int32 tf.int64 tf.uint8 tf.qint8 tf.qint32 ... | |
doc_18374 | The name of a field or a list of field names in the model, typically DateField, DateTimeField, or IntegerField. This specifies the default field(s) to use in your model Manager’s latest() and earliest() methods. Example: # Latest by ascending order_date.
get_latest_by = "order_date"
# Latest by priority descending, or... | |
doc_18375 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceApplyCenteredRMSProp
tf.raw_ops.ResourceApplyCenteredRMSProp(
var, mg, ms, mom, lr, rho, momentum, epsilon, grad, use_locking=False, name=None
)
The centered RMSProp algorithm uses an estimate of the centered second moment (i.e., the variance) fo... | |
doc_18376 |
Constructs a new unfitted estimator with the same parameters. Clone does a deep copy of the model in an estimator without actually copying attached data. It yields a new estimator with the same parameters that has not been fitted on any data. If the estimator’s random_state parameter is an integer (or if the estimato... | |
doc_18377 | See Migration guide for more details. tf.compat.v1.raw_ops.IsInf
tf.raw_ops.IsInf(
x, name=None
)
Example: x = tf.constant([5.0, np.inf, 6.8, np.inf])
tf.math.is_inf(x) ==> [False, True, False, True]
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A nam... | |
doc_18378 | tf.compat.v1.enable_eager_execution(
config=None, device_policy=None, execution_mode=None
)
Eager execution provides an imperative interface to TensorFlow. With eager execution enabled, TensorFlow functions execute operations immediately (as opposed to adding to a graph to be executed later in a tf.compat.v1.Sessi... | |
doc_18379 | Event handler for double-click event on directory. | |
doc_18380 | Return True if the transport is closing or is closed. | |
doc_18381 | Return a new Document object (the root of the DOM), with a child Element object having the given namespaceUri and qualifiedName. The doctype must be a DocumentType object created by createDocumentType(), or None. In the Python DOM API, the first two arguments can also be None in order to indicate that no Element child ... | |
doc_18382 | See Migration guide for more details. tf.compat.v1.raw_ops.DatasetCardinality
tf.raw_ops.DatasetCardinality(
input_dataset, name=None
)
Returns the cardinality of input_dataset.
Args
input_dataset A Tensor of type variant. A variant tensor representing the dataset to return cardinality for.
name A... | |
doc_18383 | Acts like dict.items() for HTTP headers on the response. | |
doc_18384 | class sklearn.semi_supervised.SelfTrainingClassifier(base_estimator, threshold=0.75, criterion='threshold', k_best=10, max_iter=10, verbose=False) [source]
Self-training classifier. This class allows a given supervised classifier to function as a semi-supervised classifier, allowing it to learn from unlabeled data. I... | |
doc_18385 | An immutable sequence providing access to the logical ancestors of the path: >>> p = PureWindowsPath('c:/foo/bar/setup.py')
>>> p.parents[0]
PureWindowsPath('c:/foo/bar')
>>> p.parents[1]
PureWindowsPath('c:/foo')
>>> p.parents[2]
PureWindowsPath('c:/') | |
doc_18386 | Run a local development server. This server is for development purposes only. It does not provide the stability, security, or performance of production WSGI servers. The reloader and debugger are enabled by default if FLASK_ENV=development or FLASK_DEBUG=1. Parameters
args (Any) –
kwargs (Any) – Return type
A... | |
doc_18387 |
Return the clip path. | |
doc_18388 |
Matrix of ones. Return a matrix of given shape and type, filled with ones. Parameters
shape{sequence of ints, int}
Shape of the matrix
dtypedata-type, optional
The desired data-type for the matrix, default is np.float64.
order{‘C’, ‘F’}, optional
Whether to store matrix in C- or Fortran-contiguous order... | |
doc_18389 | Overloaded function. wait(self: torch._C._distributed_c10d.Store, arg0: List[str]) -> None Waits for each key in keys to be added to the store. If not all keys are set before the timeout (set during store initialization), then wait will throw an exception. Parameters
keys (list) – List of keys on which to wait unti... | |
doc_18390 | Signals the start of an element in non-namespace mode. The name parameter contains the raw XML 1.0 name of the element type as a string and the attrs parameter holds an object of the Attributes interface (see The Attributes Interface) containing the attributes of the element. The object passed as attrs may be re-used b... | |
doc_18391 | Open for text reading the resource within package. By default, the resource is opened for reading as UTF-8. package is either a name or a module object which conforms to the Package requirements. resource is the name of the resource to open within package; it may not contain path separators and it may not have sub-reso... | |
doc_18392 |
Define default roll function to be called in apply method. | |
doc_18393 | A weekly archive page showing all objects in a given week. Objects with a date in the future are not displayed unless you set allow_future to True. Ancestors (MRO) django.views.generic.list.MultipleObjectTemplateResponseMixin django.views.generic.base.TemplateResponseMixin django.views.generic.dates.BaseWeekArchiveVie... | |
doc_18394 | Options that are passed to the Jinja environment in create_jinja_environment(). Changing these options after the environment is created (accessing jinja_env) will have no effect. Changelog Changed in version 1.1.0: This is a dict instead of an ImmutableDict to allow easier configuration. | |
doc_18395 | tf.compat.v1.assign_sub(
ref, value, use_locking=None, name=None
)
This operation outputs ref after the update is done. This makes it easier to chain operations that need to use the reset value. Unlike tf.math.subtract, this op does not broadcast. ref and value must have the same shape.
Args
ref A mutable... | |
doc_18396 | Thread-specific CPU-time clock. Availability: Unix. New in version 3.3. | |
doc_18397 |
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_18398 | A 32-bit number in little-endian format. Equivalent to REG_DWORD. | |
doc_18399 | Called if get_json() parsing fails and isn’t silenced. If this method returns a value, it is used as the return value for get_json(). The default implementation raises BadRequest. Parameters
e (Exception) – Return type
NoReturn |
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