zoo.pipeline.api.keras2.layers package¶
Submodules¶
zoo.pipeline.api.keras2.layers.advanced_activations module¶
zoo.pipeline.api.keras2.layers.convolutional module¶
-
class
zoo.pipeline.api.keras2.layers.convolutional.
Conv1D
(filters, kernel_size, strides=1, padding='valid', activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zero', kernel_regularizer=None, bias_regularizer=None, input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
1D convolution layer (e.g. temporal convolution).
This layer creates a convolution kernel that is convolved with the layer input over a single spatial (or temporal) dimension to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
When using this layer as the first layer in a model, provide an input_shape argument (tuple of integers or None, e.g. (10, 128) for sequences of 10 vectors of 128-dimensional vectors, or (None, 128) for variable-length sequences of 128-dimensional vectors.
# Arguments filters: Integer, the dimensionality of the output space (i.e. the number of output filters in the convolution). kernel_size: An integer or tuple/list of a single integer, specifying the length of the 1D convolution window. strides: An integer or tuple/list of a single integer, specifying the stride length of the convolution. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1. padding: One of “valid” or “same” (case-insensitive). “valid” means “no padding”. “same” results in padding the input such that the output has the same length as the original input. (see [activations](../activations.md)). If you don’t specify anything, no activation is applied (ie. “linear” activation: a(x) = x). use_bias: Boolean, whether the layer uses a bias vector. kernel_initializer: Initializer for the kernel weights matrix bias_initializer: Initializer for the bias vector kernel_regularizer: Regularizer function applied to the kernel weights matrix bias_regularizer: Regularizer function applied to the bias vector
# Input shape 3D tensor with shape: (batch_size, steps, input_dim)
# Output shape 3D tensor with shape: (batch_size, new_steps, filters) steps value might have changed due to padding or strides.
>>> conv1d = Conv1D(12, 4, input_shape=(3, 16)) creating: createZooKeras2Conv1D
-
class
zoo.pipeline.api.keras2.layers.convolutional.
Conv2D
(filters, kernel_size, strides=(1, 1), padding='valid', data_format='channels_first', activation=None, use_bias=True, kernel_initializer='glorot_uniform', bias_initializer='zero', kernel_regularizer=None, bias_regularizer=None, input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
2D convolution layer (e.g. spatial convolution over images).
This layer creates a convolution kernel that is convolved with the layer input to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs. Finally, if activation is not None, it is applied to the outputs as well.
When using this layer as the first layer in a model, provide the keyword argument input_shape (tuple of integers, does not include the sample axis), e.g. input_shape=(128, 128, 3) for 128x128 RGB pictures in data_format=”channels_last”.
# Arguments filters: Integer, the dimensionality of the output space (i.e. the number of output filters in the convolution). kernel_size: An integer or tuple/list of 2 integers, specifying the width and height of the 2D convolution window. Can be a single integer to specify the same value for all spatial dimensions. strides: An integer or tuple/list of 2 integers, specifying the strides of the convolution along the width and height. Can be a single integer to specify the same value for all spatial dimensions. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1. padding: one of “valid” or “same” (case-insensitive). Note that “same” is slightly inconsistent across backends with strides != 1. data_format: A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_last corresponds to inputs with shape (batch, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, height, width). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be “channels_last”. activation: Activation function to use. If you don’t specify anything, no activation is applied (ie. “linear” activation: a(x) = x). use_bias: Boolean, whether the layer uses a bias vector. kernel_initializer: Initializer for the kernel weights matrix bias_initializer: Initializer for the bias vector kernel_regularizer: Regularizer function applied to the kernel weights matrix bias_regularizer: Regularizer function applied to the bias vector
# Input shape 4D tensor with shape: (samples, channels, rows, cols) if data_format=’channels_first’ or 4D tensor with shape: (samples, rows, cols, channels) if data_format=’channels_last’.
# Output shape 4D tensor with shape: (samples, filters, new_rows, new_cols) if data_format=’channels_first’ or 4D tensor with shape: (samples, new_rows, new_cols, filters) if data_format=’channels_last’. rows and cols values might have changed due to padding.
>>> conv2d = Conv2D(12, kernel_size=(2, 5), input_shape=(3, 16, 16)) creating: createZooKeras2Conv2D
-
class
zoo.pipeline.api.keras2.layers.convolutional.
Cropping1D
(cropping=(1, 1), input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Cropping layer for 1D input (e.g. temporal sequence). The input of this layer should be 3D.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments cropping: Int tuple of length 2. How many units should be trimmed off at the beginning and end of the cropping dimension. Default is (1, 1). input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> cropping1d = Cropping1D(cropping=(1, 2), input_shape=(8, 8)) creating: createZooKeras2Cropping1D
zoo.pipeline.api.keras2.layers.convolutional_recurrent module¶
zoo.pipeline.api.keras2.layers.core module¶
-
class
zoo.pipeline.api.keras2.layers.core.
Activation
(activation, input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Simple activation function to be applied to the output. Available activations: ‘tanh’, ‘relu’, ‘sigmoid’, ‘softmax’, ‘softplus’, ‘softsign’, ‘hard_sigmoid’, ‘linear’, ‘relu6’, ‘tanh_shrink’, ‘softmin’, ‘log_sigmoid’ and ‘log_softmax’.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments activation: Name of the activation function as string. input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> activation = Activation("relu", input_shape=(3, 4)) creating: createZooKeras2Activation
-
class
zoo.pipeline.api.keras2.layers.core.
Dense
(units, kernel_initializer='glorot_uniform', bias_initializer='zero', activation=None, kernel_regularizer=None, bias_regularizer=None, use_bias=True, input_dim=None, input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
A densely-connected NN layer. The most common input is 2D.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments units: The size of output dimension. kernel_initializer: String representation of the initialization method for the weights of the layer. Default is ‘glorot_uniform’. activation: String representation of the activation function to use (such as ‘relu’ or ‘sigmoid’). Default is None. kernel_regularizer: An instance of [[Regularizer]], (eg. L1 or L2 regularization), applied to the input weights matrices. Default is None. b_regularizer: An instance of [[Regularizer]], applied to the bias. Default is None. bias_regularizer: Whether to include a bias (i.e. make the layer affine rather than linear). Default is True. input_dim: Dimensionality of the input for 2D input. For nD input, you can alternatively specify ‘input_shape’ when using this layer as the first layer. input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> dense = Dense(10, kernel_initializer="glorot_uniform", input_dim=8, name="dense1") creating: createZooKeras2Dense
-
class
zoo.pipeline.api.keras2.layers.core.
Dropout
(rate, input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Applies Dropout to the input by randomly setting a fraction ‘rate’ of input units to 0 at each update during training time in order to prevent overfitting.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments rate: Fraction of the input units to drop. Float between 0 and 1. input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> dropout = Dropout(0.25, input_shape=(2, 3)) creating: createZooKeras2Dropout
-
class
zoo.pipeline.api.keras2.layers.core.
Flatten
(input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Flattens the input without affecting the batch size.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> flatten = Flatten(input_shape=(3, 10, 2)) creating: createZooKeras2Flatten
zoo.pipeline.api.keras2.layers.embeddings module¶
zoo.pipeline.api.keras2.layers.local module¶
-
class
zoo.pipeline.api.keras2.layers.local.
LocallyConnected1D
(filters, kernel_size, strides=1, padding='valid', activation=None, kernel_regularizer=None, bias_regularizer=None, use_bias=True, input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Locally-connected layer for 1D inputs which works similarly to the TemporalConvolution layer, except that weights are unshared, that is, a different set of filters is applied at each different patch of the input.. Padding currently supported for this layer is ‘valid’. The input of this layer should be 3D.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments filters: Dimensionality of the output. kernel_size: The extension (spatial or temporal) of each filter. strides: Factor by which to subsample output. Int. Default is 1. padding: Only ‘valid’ is supported for now. activation: String representation of the activation function to use (such as ‘relu’ or ‘sigmoid’). Default is None. kernel_regularizer: An instance of [[Regularizer]], (eg. L1 or L2 regularization), applied to the input weights matrices. Default is None. bias_regularizer: An instance of [[Regularizer]], applied to the bias. Default is None. use_bias: Whether to include a bias (i.e. make the layer affine rather than linear). Default is True. input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> locallyconnected1d = LocallyConnected1D(6, 3, input_shape=(8, 12)) creating: createZooKeras2LocallyConnected1D
zoo.pipeline.api.keras2.layers.merge module¶
-
class
zoo.pipeline.api.keras2.layers.merge.
Average
(input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Layer that computes the average (element-wise) a list of inputs.
It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). >>> from zoo.pipeline.api.keras.layers import Input >>> ave = Average()([Input(shape=(4, 5)), Input(shape=(4, 5)), Input(shape=(4, 5))]) creating: createZooKeras2Average creating: createZooKerasInput creating: createZooKerasInput creating: createZooKerasInput
-
class
zoo.pipeline.api.keras2.layers.merge.
Maximum
(input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Layer that computes the maximum (element-wise) a list of inputs.
It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). >>> from zoo.pipeline.api.keras.layers import Input >>> max = Maximum()([Input(shape=(4, 5)), Input(shape=(4, 5))]) creating: createZooKeras2Maximum creating: createZooKerasInput creating: createZooKerasInput
-
class
zoo.pipeline.api.keras2.layers.merge.
Minimum
(input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Layer that computes the minimum (element-wise) a list of inputs.
It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). >>> from zoo.pipeline.api.keras.layers import Input >>> max = Minimum()([Input(shape=(4, 5)), Input(shape=(4, 5))]) creating: createZooKeras2Minimum creating: createZooKerasInput creating: createZooKerasInput
-
zoo.pipeline.api.keras2.layers.merge.
average
(inputs, **kwargs)[source]¶ Functional interface to the Average layer.
# Arguments inputs: A list of input tensors (at least 2). **kwargs: Standard layer keyword arguments.
# Returns A tensor, the element-wise minimum of the inputs. >>> from zoo.pipeline.api.keras.layers import Input >>> ave = average([Input(shape=(4, 5)), Input(shape=(4, 5)), Input(shape=(4, 5))]) creating: createZooKerasInput creating: createZooKerasInput creating: createZooKerasInput creating: createZooKeras2Average
-
zoo.pipeline.api.keras2.layers.merge.
maximum
(inputs, **kwargs)[source]¶ Functional interface to the Maximum layer.
# Arguments inputs: A list of input tensors (at least 2). **kwargs: Standard layer keyword arguments.
# Returns A tensor, the element-wise maximum of the inputs. >>> from zoo.pipeline.api.keras.layers import Input >>> max = maximum([Input(shape=(4, 5)), Input(shape=(4, 5))]) creating: createZooKerasInput creating: createZooKerasInput creating: createZooKeras2Maximum
-
zoo.pipeline.api.keras2.layers.merge.
minimum
(inputs, **kwargs)[source]¶ Functional interface to the Minimum layer.
# Arguments inputs: A list of input tensors (at least 2). **kwargs: Standard layer keyword arguments.
# Returns A tensor, the element-wise minimum of the inputs. >>> from zoo.pipeline.api.keras.layers import Input >>> min = minimum([Input(shape=(4, 5)), Input(shape=(4, 5))]) creating: createZooKerasInput creating: createZooKerasInput creating: createZooKeras2Minimum
zoo.pipeline.api.keras2.layers.noise module¶
zoo.pipeline.api.keras2.layers.normalization module¶
zoo.pipeline.api.keras2.layers.pooling module¶
-
class
zoo.pipeline.api.keras2.layers.pooling.
AveragePooling1D
(pool_size=2, strides=None, padding='valid', input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Average pooling operation for temporal data.
# Arguments pool_size: Integer, size of the average pooling windows. strides: Integer, or None. Factor by which to downscale. E.g. 2 will halve the input. If None, it will be set to -1, which will be default to pool_size. padding: One of “valid” or “same” (case-insensitive).
# Input shape 3D tensor with shape: (batch_size, steps, features).
# Output shape 3D tensor with shape: (batch_size, downsampled_steps, features).
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
>>> averagepooling1d = AveragePooling1D(input_shape=(3, 24)) creating: createZooKeras2AveragePooling1D
-
class
zoo.pipeline.api.keras2.layers.pooling.
GlobalAveragePooling1D
(input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Applies global average pooling operation for temporal data. The input of this layer should be 3D.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> globalaveragepooling1d = GlobalAveragePooling1D(input_shape=(12, 12)) creating: createZooKeras2GlobalAveragePooling1D
-
class
zoo.pipeline.api.keras2.layers.pooling.
GlobalAveragePooling2D
(data_format='channels_first', input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Applies global average pooling operation for spatial data. The input of this layer should be 4D.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
# Arguments data_format: Format of input data. Either channels_first or channels_last.
input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> globalaveragepooling2d = GlobalAveragePooling2D(input_shape=(4, 32, 32)) creating: createZooKeras2GlobalAveragePooling2D
-
class
zoo.pipeline.api.keras2.layers.pooling.
GlobalMaxPooling1D
(input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Applies global max pooling operation for temporal data. The input of this layer should be 3D.
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension) .
# Arguments input_shape: A shape tuple, not including batch. name: String to set the name of the layer. If not specified, its name will by default to be a generated string.
>>> globalmaxpooling1d = GlobalMaxPooling1D(input_shape=(4, 8)) creating: createZooKeras2GlobalMaxPooling1D
-
class
zoo.pipeline.api.keras2.layers.pooling.
MaxPooling1D
(pool_size=2, strides=None, padding='valid', input_shape=None, **kwargs)[source]¶ Bases:
zoo.pipeline.api.keras2.base.ZooKeras2Layer
Max pooling operation for temporal data.
# Arguments pool_size: Integer, size of the max pooling windows. strides: Integer, or None. Factor by which to downscale. E.g. 2 will halve the input. If None, it will be set to -1, which will be default to pool_size. padding: One of “valid” or “same” (case-insensitive).
# Input shape 3D tensor with shape: (batch_size, steps, features).
# Output shape 3D tensor with shape: (batch_size, downsampled_steps, features).
When you use this layer as the first layer of a model, you need to provide the argument input_shape (a shape tuple, does not include the batch dimension).
>>> maxpooling1d = MaxPooling1D(3, input_shape=(3, 24)) creating: createZooKeras2MaxPooling1D


Lock
Lock resources for exclusive access
Do not instantiate this class directly, use method Store.lock.
Constructor Summary
| Public Constructor | ||
| public |
constructor(store: Store, options: object) Get locking instance |
Member Summary
| Public Members | ||
| public get |
store: * Store instance for this collection |
| Private Members | ||
| private |
_locks: {} |
|
| private |
_options: {"timeout": *, "wait": *} |
|
| private |
_store: * |
Method Summary
| Public Methods | ||
| public |
list(): * List locks currently held by this instance |
|
| public |
async listGlobal(): Promise<string> List locks currently held by all actors (all processes, all instances) |
|
| public |
Attempt to take an exclusive lock |
|
| public |
Attempt to take a store-level lock (lock the entire store) |
|
| public |
Release a lock held by this instance |
|
| public |
Release all locks held by this instance |
|
| public |
async unlockStore(): * Release held store-level lock |
| Private Methods | ||
| private |
async _lockOperation(method: *, filepath: *): * |
Public Constructors
public constructor(store: Store, options: object) source
Get locking instance
Do not instantiate this class directly, use method Store.lock.
Public Members
Private Members
private _locks: {} source
private _options: {"timeout": *, "wait": *} source
private _store: * source
Public Methods
public async listGlobal(): Promise<string> source
List locks currently held by all actors (all processes, all instances)
public async lock(identifier: string, options: object): Promise<void> source
Attempt to take an exclusive lock
If the lock is free, it will be taken by this instance. If the lock is already held by this instance, calling {lock} again will resolve ok. If the lock is held by another instance or process, rejects with code "ELOCKED" and lockType "record". If the store is locked (by this or any other instance), rejects with code "ELOCKED" and lockType "store".
Params:
| Name | Type | Attribute | Description |
| identifier | string | record identifier, or special token "@store" for store-level lock |
|
| options | object | ||
| options.timeout | number | max retry time in milliseconds. Default is per options to constructor |
|
| options.wait | number | min time in ms to wait before first retry. Default is per options to constructor |
public async lockStore(): Promise<void> source
Attempt to take a store-level lock (lock the entire store)
public async unlock(identifier: string): Promise<void> source
Release a lock held by this instance
If lock is not held by this instance, rejects with code "ENOTACQUIRED". If lock has been compromised, rejects with code "ECOMPROMISED".
Params:
| Name | Type | Attribute | Description |
| identifier | string | record identifier, or special token "@store" for store-level lock |
Private Methods
private async _lockOperation(method: *, filepath: *): * source
Params:
| Name | Type | Attribute | Description |
| method | * | ||
| filepath | * |
Return:
| * |


All our medicines and health products are genuine and high quality. To authenticate, scratch to reveal the uniqu website
Maisha kenya gives you access anytime, anywhere, and saves you the hustle of traffic, movinuts.
Your personal information and medication history is safe with us.
I am a student at Moringa school currently pursuing Front-end web development.I cleared Highschool in 2018.I have no job experience.Which is why I am striving hard on this course to get employed.I have always wanted to pursue a career on Full-stack development of which I am excited about.I chose programming because I love it, I love how it challenges me to think and be innovative.I enjoy coding during my free time which perfectly aligns with my career or draw sometimes.
I am a very persuasive individual and a go-getter I have positive outlook on life. Also with great communication skills.I am very passionate about my interests. Here are some of my Projects:


This file contains functions that allow one to downsample from 4:4:4 to 4:2:0 or upsample from 4:2:0 or 4:2:2 to 4:4:4.
| Component Summary | |
int->int
|
ChannelUpsample_Vert_and_Horz
Upsamples from 4:2:0 to 4:4:4asdf |
int->int
|
ChannelUpsample_Vertical
Upsample from 4:2:2 to 4:4:4 (in the vertical direction)asdf |
int->int
|
ChannelUpsample_Horizontal
Upsample from 4:2:2 to 4:4:4 (in the horizontal direction)asdf |
int->int
|
ChannelUpsample_1D
Performs a one dimensional upsampling, doubling the pixel count Each pixel is computed from a weighted average of its two neighbors with the closer neighbor getting weight1 and the further neighbor getting weight2. |
int->int
|
DropSecond
This drops every second value from a data stream, essentially performing a very simple downsampling (used for the horizontal downsampling in color channel downsampling. |
int->int
|
ChannelDownsample_1D
This cuts a data stream in half by combining two pixels into one. |
int->int
|
ChannelDownsample
Downsample from 4:4:4 to 4:2:0asdf |
| Component Detail |
int->int ChannelUpsample_Vert_and_Horz(int sourcewidth, int sourceheight)
<int>
- A 4:2:0 downsampled image
<int>
- A 4:4:4 upsampled image sourcewidth
- The width of the downsampled image
sourceheight
- The height of the downsampled image
int->int ChannelUpsample_Vertical(int sourcewidth, int sourceheight)
<int>
- A 4:2:2 downsampled in the vertical direction
<int>
- A 4:4:4 upsampled image sourcewidth
- The width of the downsampled image
sourceheight
- The height of the downsampled image
int->int ChannelUpsample_Horizontal(int sourcewidth, int sourceheight)
<int>
- A 4:2:2 downsampled in the horizontal direction
<int>
- A 4:4:4 upsampled image sourcewidth
- The width of the downsampled image
sourceheight
- The height of the downsampled image
int->int ChannelUpsample_1D
<int>
- The downsampled data stream
<int>
- The reconstructed upsampled data stream sourcelen
- The length of the downsampled data stream
weight1
- The weight of the closer neighbor
weight2
- The weight of the further neighbor
int->int DropSecond
<int>
- A data stream
<int>
- A downsampled data stream
int->int ChannelDownsample_1D(float weight1, float weight2)
<int>
- A data stream
<int>
- A data stream weight1
- The weighting used for the antecedent pixel
weight2
- The weighting used for the subsequent pixel
int->int ChannelDownsample()
<int>
- A 4:4:4 upsampled image
<int>
- A 4:2:0 downsampled image


Contains configuration marshaling and un-marshaling and configuration data access wrapper/adapter classes.


Dutch government moves to ban laughing gas
AMSTERDAM (Reuters) - The Dutch government on Monday announced plans to include nitrous oxide — better known as laughing gas — on its “black list” of forbidden drugs, in response to a rapid increase in usage of the gas among the nation’s youth.
In a letter to parliament Deputy Health Minister Paul Blockhuis said “recreational use of laughing gas has become a drugs problem, and therefore the Opium Law is the right route to tackle this.”
Use of the gas will continue to be allowed by dentists as a pain killer, and by food makers as a propellant in whipped cream cans.
When inhaled, the drug creates a short-lasting euphoria popularly considered harmless. But Blockhouse said that in addition to danger of users losing consciousness and falling and bumping their heads, or of getting in traffic accidents, use of the drug could also cause “brain damage.”
“We can no longer accept the risks taken with the health of youth in particular,” he said.
Laughing gas had long been a fringe phenomenon at festivals, where stronger drugs are often used. But when laughing gas started cropping up on street corners in the past three years, authorities became concerned.
Often sold in small metal cannisters of compressed gas that are emptied into balloons before the gas is inhaled, litter from used cannisters and balloons has become a nuisance on streets and in parks.


Extensions¶
Version <IP_ADDRESS> for version 1.10 of the CF conventions.
The cfdm package has been designed to be subclassed, so that the creation of a new implementation of the CF data model, based on cfdm, is straight forward. For example:
import cfdm
class my_Field(cfdm.Field):
def info(self):
return 'I am a {!r} instance'.format(
self.__class__.__name__)
The interpretation of CF-netCDF files that is encoded within the
cfdm.read
and cfdm.write
functions is also inheritable, so that an
extended data model implementation need not recreate the complicated
mapping of CF data model constructs to, and from, CF-netCDF
elements. This is made possible by the bridge design pattern, that decouples the
implementation of the CF data model from the CF-netCDF encoding so
that the two can vary independently.
>>> my_implementation = cfdm.implementation()
>>> my_implementation.set_class('Field', my_Field)
>>> import functools
>>> my_read = functools.partial(cfdm.read,
... _implementation=my_implementation)
>>> my_write = functools.partial(cfdm.write,
... _implementation=my_implementation)
>>> q, t = my_read('file.nc')
>>> print(type(q))
<class '__main__.my_Field'>
>>> print(q.info())
I am a 'my_Field' instance
>>> print(repr(q))
<my_Field: specific_humidity(latitude(5), longitude(8)) 1>
>>> print(q.data.array)
[[0.007 0.034 0.003 0.014 0.018 0.037 0.024 0.029]
[0.023 0.036 0.045 0.062 0.046 0.073 0.006 0.066]
[0.11 0.131 0.124 0.146 0.087 0.103 0.057 0.011]
[0.029 0.059 0.039 0.07 0.058 0.072 0.009 0.017]
[0.006 0.036 0.019 0.035 0.018 0.037 0.034 0.013]]
>>> my_write([q, t], 'new_file.nc')
Note that, so far, we have only replaced the field construct class in the new implementation, and not any of the metadata constructs or other component classes:
>>> print(type(q))
<class '__main__.my_Field'>
>>> print(type(q.construct('latitude')))
<class 'cfdm.dimensioncoordinate.DimensionCoordinate'>
If the API of the new implementation is changed such that a given cfdm
functionality has a different API in the new implementation, then the
new read-from-disk and write-to-disk functions defined above can still
be used provided that the new implementation is created from a
subclass of cfdm.CFDMImplementation
, with the new API being applied
in overridden methods.
class my_Field_2(cfdm.Field):
def my_coordinates(self):
"""Get coordinate constructs with a different API."""
c = self.coordinates
if not c:
return {}
return c
class my_CFDMImplementation(cfdm.CFDMImplementation):
def get_coordinates(self, field):
"""Get coordinate constructs from a my_Field_2 instance,
using its different API.
"""
return field.my_coordinates()
my_implementation_2 = my_CFDMImplementation(
cf_version=cfdm.CF(),
Field=my_Field_2,
AuxiliaryCoordinate=cfdm.AuxiliaryCoordinate,
CellMeasure=cfdm.CellMeasure,
CellMethod=cfdm.CellMethod,
CoordinateReference=cfdm.CoordinateReference,
DimensionCoordinate=cfdm.DimensionCoordinate,
DomainAncillary=cfdm.DomainAncillary,
DomainAxis=cfdm.DomainAxis,
FieldAncillary=cfdm.FieldAncillary,
Bounds=cfdm.Bounds,
InteriorRing=cfdm.InteriorRing,
CoordinateConversion=cfdm.CoordinateConversion,
Datum=cfdm.Datum,
List=cfdm.List,
Index=cfdm.Index,
Count=cfdm.Count,
NodeCountProperties=cfdm.NodeCountProperties,
PartNodeCountProperties=cfdm.PartNodeCountProperties,
Data=cfdm.Data,
GatheredArray=cfdm.GatheredArray,
NetCDFArray=cfdm.NetCDFArray,
RaggedContiguousArray=cfdm.RaggedContiguousArray,
RaggedIndexedArray=cfdm.RaggedIndexedArray,
RaggedIndexedContiguousArray=cfdm.RaggedIndexedContiguousArray,
)
As all classes are required for the initialisation of the new implementation class, this demonstrates explicitly that, in the absence of subclasses of the other classes, the cfdm classes may be used.
>>> my_read_2 = functools.partial(cfdm.read,
... _implementation=my_implementation2)
>>> q, t = my_read_2('file.nc')
>>> print(repr(q))
<my_Field_2: specific_humidity(latitude(5), longitude(8)) 1>
Finally, the mapping of CF data model constructs from CF-netCDF elements, and vice versa, may be modified where desired, leaving all other aspects it unchanged
class my_NetCDFRead(cfdm.read_write.netcdf.NetCDFRead):
def read(self, filename):
"""Read my fields from a netCDF file on disk or from
an OPeNDAP server location, using my modified mapping
from netCDF to the CF data model.
"""
print("Reading dataset using my modified mapping")
return super().read(filename)
my_netcdf = my_NetCDFRead(my_implementation_2)
def my_read_3(filename, ):
"""Read my field constructs from a dataset."""
return my_netcdf.read(filename)
>>> q, t = my_read_3('~/cfdm/docs/source/sample_files/file.nc')
Reading dataset using my modified mapping
>>> print(repr(q))
<my_Field_2: specific_humidity(latitude(5), longitude(8)) 1>
In the same manner, cfdm.read_write.netcdf.NetCDFWrite
may be
subclassed, and a new write-to-disk function defined, to override
aspects of the mapping from CF data model constructs to netCDF
elements in a dataset.
The _custom dictionary¶
All cfdm classes have a _custom
attribute that contains a dictionary
meant for use in external subclasses.
It is intended for the storage of extra objects that are required by
an external subclass, yet can be transferred to copied instances using
the inherited cfdm infrastructure. The _custom
dictionary is shallow
copied, rather than deep copied, when using the standard cfdm deep
copy method techniques (i.e. the copy
method, initialisation with
the source parameter, or applying the copy.deepcopy
function) so
that subclasses of cfdm are not committed to potentially expensive
deep copies of the dictionary values, of which cfdm has no
knowledge. Note that calling copy.deepcopy
on a cfdm (sub)class
only invokes its copy
method. The cfdm library itself does not
use the _custom
dictionary, other than to pass on a shallow copy of
it to copied instances.
The consequence of this shallow-copy behaviour is that if an external subclass stores a mutable object within its custom dictionary then, by default, a deep copy will contain the identical mutable object, to which in-place changes will affect both the original and copied instances.
To account for this, the external subclass can either commit to
never updating such mutables in-place (which can be acceptable for
private quantities which are tightly controlled); or else include
extra code that does deep copy such mutables when any deep copy (or
equivalent) operation is called. The latter approach should be
implemented in the subclass’s __init__
method, similarly to this:
import copy
class my_Field_3(cfdm.Field):
def __init__(self, properties=None, source=None, copy=True,
_use_data=True):
super().__init__(properties=properties, source=source,
copy=copy, _use_data=_use_data)
if source and copy:
# Deep copy the custom 'x' value
try:
self._custom['x'] = copy.deepcopy(source._custom['x'])
except (AttributeError, KeyError):
pass
Documentation¶
The cfdm package uses a “docstring rewriter” that allows commonly used parts of class and class method docstrings to be written once in a central location, and then inserted into each class at import time. In addition, parts of a docstring are modified to reflect the appropriate package and class names. This functionality extends to subclasses of cfdm classes. New docstring substitutions may also be defined for the subclasses.
See cfdm.core.meta.DocstringRewriteMeta
for details on how to add to
create new docstring substitutions for extensions, and how to modify
the substitutions defined in the cfdm package.
A complete example¶
See cf-python for a complete example of extending the cfdm package in the manner described above.
cf-python adds more flexible inspection, reading and writing; and provides metadata-aware analytical processing capabilities such as regridding and statistical calculations.
It also has a more sophisticated data class that subclasses
cfdm.Data
, but allows for larger-than-memory manipulations and
parallel processing.
cf-python strictly extends the cfdm API, so that a cfdm command will always work on its cf-python counterpart.


Cursor movement
- h - move cursor left
- j - move cursor down
- k - move cursor up
- l - move cursor right
- w - jump forwards to the start of a word
- W - jump forwards to the start of a word (words can contain punctuation)
- e - jump forwards to the end of a word
- E - jump forwards to the end of a word (words can contain punctuation)
- b - jump backwards to the start of a word
- B - jump backwards to the start of a word (words can contain punctuation)
- 0 - jump to the start of the line
- ^ - jump to the first non-blank character of the line
- $ - jump to the end of the line
- G - go to the last line of the document
- 5G - go to line 5
Tip Prefix a cursor movement command with a number to repeat it. For example, 4j moves down 4 lines.
Insert mode - inserting/appending text
- i - insert before the cursor
- I - insert at the beginning of the line
- a - insert (append) after the cursor
- A - insert (append) at the end of the line
- o - append (open) a new line below the current line
- O - append (open) a new line above the current line
- ea - insert (append) at the end of the word
- Esc - exit insert mode


This report describes my weeklong Adderall/studying binge during finals week and may contain some information useful for those who are may do something similar.
First some background:
I am an engineering student in a smallish university. I consider myself to be very math/science smart, just to give you an idea I entered college with 16 credits: Physics (Newtonian and Electromagnetism), Computer Science, Calculus, and some liberal arts credits; I also got an 800 in the math section of the SATs. Unfortunately my ability to quickly 'get' these kinds of subjects has caused me to develop some bad study habits. Usually I either donít study or I will cram before tests (for like an hour tops) with great success but then do marginal on finals, cramming for a final doesnít work so well. I am very experienced with drugs, I won't list off the drugs, I have tried virtually all popular drugs, but have not used anything other than weed, alcohol and painkillers more than 10 times.
So, anyways, I decided to take a new approach to finals this semester. I had recently come across a very good Adderall hookup. Lots of 30mg tablets. I bought probably 15-20 during the course of finals. I started with 30 mg dose to do a lengthy math assignment before finals, probably Thursday night. I was able to pound through the assignment in 3 hours with no breaks. This was the rare kind of assignment that would ruin me because of my irresponsibility, but my seemingly endless concentration allowed me to get it, plus it was fun, though I kinda enjoy math anyways.
Starting at a 30 mg dose was a very bad idea, it caused my tolerance to go up much faster than if I had started at 10 or 5 mgs, which is still an effective dose. Also the comedowns were pretty bad. After taking that much I could never sleep, even after 10+ hours after dosing. People suggest smoking MJ to help sleep, I found this to be totally ineffective, it definitely improves the come-down, but I just have racing thoughts. What is effective is alcohol.
Anyways I dosed the next day to study, and I would dose in the morning before finals. I would use half of a pill before tests so I wouldnít be tired. Pretty soon I was dosing in the middle of the day to keep the come down from happening, this was maybe Tuesday or Wednesday. Around this time I had to take 37.5mg to get the desired effects for studying, eventually I got up to 45 mg. By Wednesday or Thursday I was having trouble focusing my eyes on distant objects due to sleep deprivation. The rest of the week proceeded like this until the day I had to come down, after finals. The final comedown was pretty bad and I didnít sleep that night. I was only able to sleep for about an hour the next day around 2pm, but it was hard to get to sleep. By this time I felt very different and after I slept I felt weird for a day or two but later felt normal.
In total I only was able to even fall asleep two nights from Friday to Thursday. I think by the end that the sleep deprivation might have been affecting my test taking abilities, but not too much. I definitely was able to study a lot more and could study 6+ hours a day, where as usually I can't stand studying for more than a couple of hours. I did much better than usual on my finals by the way.
One final note: This experience caused me to feel a way that I really did not like, and I do not plan on repeating this again.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Remote | Europe | Zagreb, Croatia
<EMAIL_ADDRESS>| +385 91 4554-344
I have been reading and writing code, running servers and experimenting with new software since 2004. Most recently, the majority of code I have written has been in Java, JavaScript/TypeScript, and Solidity, but I have experience in many other programming languages and technologies. I am interested in designing and building scalable distributed systems, smart contracts and protocols on distributed networks like Ethereum, as well as native mobile and web clients.
RunningBeta a blockchain research company and private investment vehicle
Co-Founder and Technical Lead, Aug 2017 - Present
Tolar HashNET crypto-currency featuring scalable, fast, secure, and fair transactions
Smart Contract Engineer and Technical Advisor, Mar 2018 - Mar 2019
Bellabeat an Health-Tracking intelligence platform for women
Mobile Team Lead and System Architect, Sep 2015 – Mar 2017
ShoutEm mobile app builder
Android Developer, May 2013 - Sep 2015
FIVE Mobile Design and Development Agency
Android Developer, November 2012 – May 2013
Java EE Developer, CUEComm, April 2012 - November 2012
Java EE Developer, MEP Storefront, February 2011 - April 2012
MASTER OF SCIENCE IN COMPUTER SCIENCE June 2011
Faculty of electrical engineering and computing, University of Zagreb
Programming Coursework: Advanced Algorithms & Data Structures, Object-Oriented Design, Formal Methods in System Design, Advanced Operating Systems, Machine Learning, Computer Vision, Pattern Recognition, Expert Systems, Neural Networks, Internet Security
Graduation Thesis: Eigenphase Based Recognition System for Partially Occluded Faces
BACHELOR OF SCIENCE IN COMPUTING July 2009
Faculty of electrical engineering and computing, University of Zagreb
Programming Coursework: Algorithms & Data Structures, Operating Systems, Communication Networks, Information Theory, Programming Language Translation, Artificial Intelligence, Computer Graphics, System Design, Scripting Languages, Java Programming Language
EE Coursework: Embedded Systems, Computer Architecture, Circuits, Digital Logic Design, Signal Processing
BSc Thesis: Hand-written Alphanumerical Character Recognition


For avoiding the problems with randoms and friends. If you want play in a server with the clan you must play with the members or Lc only. If you want play with your old friends choose another server.
sakis1616 (EA leader)
If you don't feel Lc in your heart, don't loose your time in Lc. Lc belongs to people who believed in Lc and our heroes.
jimboy3100 (Lc leader)


Services
Creative agency that is based in Bandung, Indonesia. We have awesome designers and developers that have been working on various mobile and web application UI.


Scones cover a lot of territory. The recipe is for what might be considered British style scones, biscuit like, flavored, quick breads. I usually go for sweet, but one can certainly adjust the flavoring and mix-ins for a savory effect.
This recipe is derived from one that claims a yield of 8 scones, but I find my self using it for 4 large scones, each of which can be a meal in itself.
I looked through several scones recipes and tried a couple before finding one that I liked, allrecipes' Simple Scones, which served as the main inspiration for this one.
No exotic tools are needed for this recipe.
I've tried a several flours. So far, I've gotten the best results with King Arthur All Purpose. This flour is said to be rather high in protein, so a good bread flour night work as well. I'd advise against pastry flour; I found that adding it to the recipe results in cake-like scones.
Or the dry sweetener of you choice.
The source recipe calls for a mix of Baking Powder, Baking Soda and Salt. I'm a skeptic of this traditional approach to quick breads. So I omit the salt and soda, adding a bit more Baking Powder than called for in the original recipe.
Here you can exercise some creativity, choosing a spice appropriate to the sort of scone you're making. For sweet scones, I often use a touch of Penzeys Chinese Five Spice Powder, which provides a nice depth of flavor. If you're making a savory scone, consider adding pepper or a curry powder. This flavoring should be in the background rather than the foreground, so add your spices with a light touch.
I like to use a good quality butter, which can add nicely to the flavor of the scones. By tweaking the amount of butter, one can adjust the richness of the scones, from dry to dripping with butter.
The mix-in ingredients will define the flavor of your scones, and here is where you can be most creative. Consider: fresh fruit, dried fruit, chopped nuts, chocolate chips, candies, sun dried tomatoes, or roasted garlic. I often use a couple of mix-ins. Don't overload the scone with the mix-ins; 1 to 1–½ Cups generally works well. If in doubt, use less rather than more.
This is an optional ingredient. Vanilla is conventional. Instead, I often add a liqueur, such as Drambuie or Cointreau. As with the dry spice, use sparingly for background flavoring.
The night before the cook
At the outset of the cook:
Thoroughly mix the dry ingredients in the mixing bowl.
Cut the cold shortening into the dry ingredients. Blend until it is incorporated as small pebbles.
Stir in the mix-ins.
Prepare the liquid ingredients. Measure out the milk, add the egg and beat moderately with a fork. Add the liquid flavor.
Pour the Liquid ingredients into the mixing bowl and fold in. Avoid over mixing; stop once the liquid is incorporated. The result should be a wet, sticky, dough.
Generously dust the pastry mat and your hands with flour. Dump the dough onto the pasty mat and form it into a flat loaf. Cut this loaf into serving sized scones, flouring the edges to keep stickiness under control.
Place the scones on the baking sheet and put them into the pre-heated oven. Baking time may vary. Start checking at about 15 minutes. Once the scones have a golden brown crust, they should be ready.
Remove the scones from the oven and place them on the cooling rack. Allow them to cool for several minutes and then enjoy.


The Amazon Fire TV Blaster adds unified voice control to your TV setup
You need a Fire TV Stick and an Echo speaker to take advantage of its new functionality
by Henry BurrellAmazon has announced the Fire TV Blaster, an infra-red device that adds more voice control functionality to your existing smart home set up. In order to work, you need to pair the Blaster to a set up that uses any Echo speaker and a Fire TV Stick, Fire TV Stick 4K or Fire TV (3rd Gen).
The Blaster will go on sale on 11 December for £34.99 / $34.99. In the UK, a pre-order bundle of an Echo Dot, Fire TV Stick 4K and Fire TV Blaster is £86.98, a saving of 36%. The bundle is a good deal that will boost the functionality of a living room TV for under £100.
With an Echo and a Fire TV you can ask Alexa to play certain shows but that’s about it. If you add the Fire TV Blaster, Amazon says it’ll link to your TV and soundbar to give you voice control over all your devices together, not just the Fire TV Stick.
Amazon’s example is being able to say things like:
- “Alexa, turn off the TV”
- “Alexa, turn up the soundbar volume”
- “Alexa, switch to HDMI 2”
These three commands are not possible without the Blaster. The new product bridges the gap between your commands, your Echo speaker and Fire TV, and your TV and soundbar.
It’s quite a confusing thing to explain but basically, if you have an Echo and a Fire TV already it’s an affordable way to add voice control to your TV and audio set up. It’s not necessary, but if you watch a lot of Amazon Prime video then being able to say, “Alexa, play American Gods on Fire TV” and have it turn on your TV, audio, and play the series from where you last stopped it is pretty handy.


B.C. Teachers’ Federation protests outside BC NDP Convention - Barriere Star Journal
by Devon Bidal‘Our working conditions are the kids’ learning conditions and you can’t separate that,’ teacher says
Honks from vehicles rang out through the cool morning air as they passed members of the B.C. Teachers’ Federation (BCTF) union that had gathered outside the BC NDP Convention at the Victoria Conference Centre on Saturday morning just before 9 a.m. and then again in the afternoon.
The teachers, all dressed in red, lined Douglas Street to hand out leaflets, wave their signs and talk with residents and convention attendees.
The union members were joined by BCTF President Teri Mooring who was in town for a meeting with the representative assembly – made up of some 300 teachers – at the Empress Hotel. Mooring also addressed convention delegates with a speech at 1 p.m.
Coquitlam teacher Deither Malakoff had come over to the Island for the demonstration and to spread the word about the issues B.C. teachers are facing when it comes to the negotiations with the province and with the new funding model being proposed.
READ ALSO: John Horgan touts accomplishments at B.C. NDP convention
The prevalence model, which is used in other provinces, would provide funding for students who need extra assistance based on statistics, not on head counts the way it is now, Malakoff explained. This could mean the students with extra needs could go unnoticed and fall through the cracks due to a lack of resources.
Teachers already pay for so much out of pocket including school supplies and other resources for students, said Chris Rolls, president of the Lake Cowichan Teachers’ Association and a teacher of 34 years. The new funding formula is unclear and will likely leave kids and parents fighting for support, she explained.
Rolls also noted that if class size and composition are not addressed in the new teacher contract, teachers will be unable to address the individual needs of all their students due to a lack of time and resources.
The working conditions for teachers in B.C. are resulting in a teacher shortage, Rolls said. New teachers can move to Alberta and make $20,000 more per year, she explained, emphasizing the salary gap between B.C. and most other provinces. She explained that new teachers in B.C. are basically at the poverty line.
Rolls pointed out that the negotiations and the protest on Saturday aren’t just about asking for a cost of living increase, but about making things better for students.
READ ALSO: Saanich mom on a bike turned away in Tim Hortons drive-thru
“Our working conditions are the kids’ learning conditions and you can’t separate that.”
The BCTF thought that the BC NDP recognized the importance of teachers in a way that the former BC Liberal government didn’t, Rolls said, but teachers are becoming disheartened.
Premier John Horgan acknowledged the protestors’ presence outside after making his keynote speech at the convention. He emphasized that class size and composition issues are “critically important to teachers [and] critically important to outcomes for kids” and that the province supports that.
“We believe in free and fair collective bargaining,” Horgan said. “We’re hopeful we can get a good agreement.”
There were several other protest groups outside the convention hall including the South Island Community Overdose Response Network and members of various environmental advocacy groups.
With files from Tom Fletcher.


We have a large amount of data collection supported and verified by higher education institutions.
This app is implemented with a high level privacy and security system built with user friendly environments.
We keep our data up to date and implementing the latest technology with great user experiences.
Our mobile app is now available to download.
(Available for Android)
We want to hear about what you create


B C D E G H I L M N P R S T U V W
All Classes All Packages
All Classes All Packages
All Classes All Packages
B
- bin() - Method in class integersets.BitsKey
-
Returns a binary representation of the long
val
in a string containing leading zeroes. - bin(int) - Static method in class integersets.Util
-
Returns a String representation of
x
in binary prefixed by0b
, including leading zeros and suffixed byl
. - bin(int, int) - Static method in class integersets.Util
-
Returns a String representation of
x
in binary prefixed by0b
, including leading zeros, spaced by_
everyf
bits counting from the least significant bit. - bin(long) - Static method in class integersets.Util
-
Returns a String representation of
x
in binary prefixed by0b
, including leading zeros and suffixed byl
. - bin(long, int) - Static method in class integersets.Util
-
Returns a String representation of
x
in binary prefixed by0b
, including leading zeros, spaced by_
everyf
bits counting from the least significant bit and suffixed byl
. - BinarySearchTrie - Class in integersets
-
Implementation of the
BinarySearchTrie
data structure, as described in Section A.2.1 of the report. - BinarySearchTrie() - Constructor for class integersets.BinarySearchTrie
-
Constructs an empty
BinarySearchTrie
. - bit(int) - Method in class integersets.BitsKey
-
Helper function.
- bit(int, int) - Static method in class integersets.Util
-
Given a
32
-bit word,A
, returns the value (0
or1
) of thed
-th bit. - bit(int, long) - Static method in class integersets.Util
-
Given a
64
-bit word,A
, returns the value (0
or1
) of thed
-th bit. - BitsKey - Class in integersets
-
Implementation of the helper
BitsKey
data structure, as described in Section A.1 of the report. - BitsKey(long) - Constructor for class integersets.BitsKey
-
Constructs a new
BitsKey
, holding the providedval
.
C
- compareTo(BitsKey) - Method in class integersets.BitsKey
-
Returns an integer value resulting from the comparison of two
BitsKey
instances. - compareToNaive(BitsKey) - Method in class integersets.BitsKey
-
Naive way of calculating compareTo.
- count() - Method in class integersets.BinarySearchTrie
- countLeafNodes() - Method in class integersets.BinarySearchTrie
-
Counts and returns the total number of leaf nodes in the tree.
D
- delete(long) - Method in class integersets.BinarySearchTrie
- delete(long) - Method in class integersets.DynamicFusionNodeBinaryRank
- delete(long) - Method in class integersets.DynamicFusionNodeDontCaresInsert
- delete(long) - Method in class integersets.DynamicFusionNodeDontCaresRank
- delete(long) - Method in class integersets.NaiveDynamicFusionNode
- delete(long) - Method in class integersets.NonRecursivePatriciaTrie
- delete(long) - Method in class integersets.PatriciaTrie
- delete(long) - Method in interface integersets.RankSelectPredecessorUpdate
-
If
x
is member of the set, it is removed. - deleteBit(int, int) - Static method in class integersets.Util
-
Sets bit at position
d
to0
and returns the key,A
. - deleteBit(int, long) - Static method in class integersets.Util
-
Sets bit at position
d
to0
and returns the key,A
. - distinctBoundedSortedLongs(int, long) - Static method in class integersets.Util
-
Returns an array containing
n
distinctlong
s produced with seed42
and unsignedly sorted and between0
andbound
. - distinctBoundedSortedLongs(int, long, long) - Static method in class integersets.Util
-
Returns an array containing
n
distinctlong
s produced with seedseed
and unsignedly sorted and between0
andbound
. - distinctSortedLongs(int) - Static method in class integersets.Util
-
Returns an array containing
n
distinctlong
s produced with seed42
and unsignedly sorted. - distinctSortedLongs(int, long) - Static method in class integersets.Util
-
Returns an array containing
n
distinctlong
s produced with seedseed
and unsignedly sorted. - DynamicFusionNodeBinaryRank - Class in integersets
-
Implementation of the
DynamicFusionNodeBinaryRank
data structure, as described in Section 3.3 of the report. - DynamicFusionNodeBinaryRank() - Constructor for class integersets.DynamicFusionNodeBinaryRank
-
Constructs an empty
DynamicFusionNodeBinaryRank
with capacity for 16 elements. - DynamicFusionNodeDontCaresInsert - Class in integersets
-
Implementation of the
DynamicFusionNodeDontCaresInsert
data structure, as described in Section 3.6 of the report. - DynamicFusionNodeDontCaresInsert() - Constructor for class integersets.DynamicFusionNodeDontCaresInsert
-
Constructs an empty
DynamicFusionNodeDontCaresInsert
with capacity for 8 elements. - DynamicFusionNodeDontCaresRank - Class in integersets
-
Implementation of the
NaiveDynamicFusionNode
data structure, as described in Section 3.4 of the report. - DynamicFusionNodeDontCaresRank() - Constructor for class integersets.DynamicFusionNodeDontCaresRank
-
Constructs an empty
DynamicFusionNodeDontCaresRank
with capacity for 8 elements.
E
- equals(BitsKey) - Method in class integersets.BitsKey
-
Returns
true
iffthis
key andthat
key hold the sameval
.
G
- getField(int, int, int) - Static method in class integersets.Util
-
Field retrieval function.
- getField(int, int, long) - Static method in class integersets.Util
-
Field retrieval function.
- getField2d(int, int, int, int, int) - Static method in class integersets.Util
-
Two-dimensional field retrieval.
- getField2d(int, int, int, int, long) - Static method in class integersets.Util
-
Two-dimensional field retrieval.
- getFields(int, int, int) - Static method in class integersets.Util
-
Field retrieval function.
- getFields(int, int, int, int) - Static method in class integersets.Util
-
Field retrieval function.
- getFields(int, int, int, long) - Static method in class integersets.Util
-
Field retrieval function.
- getFields(int, int, long) - Static method in class integersets.Util
-
Field retrieval function.
H
- height() - Method in class integersets.BinarySearchTrie
I
- insert(long) - Method in class integersets.BinarySearchTrie
- insert(long) - Method in class integersets.DynamicFusionNodeBinaryRank
- insert(long) - Method in class integersets.DynamicFusionNodeDontCaresInsert
- insert(long) - Method in class integersets.DynamicFusionNodeDontCaresRank
- insert(long) - Method in class integersets.NaiveDynamicFusionNode
- insert(long) - Method in class integersets.NonRecursivePatriciaTrie
- insert(long) - Method in class integersets.PatriciaTrie
- insert(long) - Method in interface integersets.RankSelectPredecessorUpdate
-
Inserts
x
in the set if it is not a member (and there is room for it). - insertVerbose(long) - Method in class integersets.DynamicFusionNodeDontCaresInsert
-
Verbose version of the
insert
method. - integersets - package integersets
- isEmpty() - Method in interface integersets.RankSelectPredecessorUpdate
-
Returns
true
if the set is empty. - iterator() - Method in class integersets.NonRecursivePatriciaTrie
-
Returns all of the keys in the set, as an iterator.
L
- lsb(int) - Static method in class integersets.Util
-
Least significant set bit of
x
. - lsb(long) - Static method in class integersets.Util
-
Least significant set bit of
x
.
M
- M(int, int) - Static method in class integersets.Util
-
The helper method below produces a word comprised of
w/b
fields ofb
bits in length, having each field its least significant bit set to1
. - matrixToCSVString(int, int, long) - Static method in class integersets.Util
-
Returns a String representation of the interpretation of the matrix stored in the word
A
, with #rows
rows and #columns
columns. - matrixToString(int, int, long) - Static method in class integersets.Util
-
Returns a String representation of the interpretation of the matrix stored in the word
A
, with #rows
rows and #columns
columns. - member(long) - Method in class integersets.BinarySearchTrie
- member(long) - Method in class integersets.NonRecursivePatriciaTrie
- member(long) - Method in class integersets.PatriciaTrie
- member(long) - Method in interface integersets.RankSelectPredecessorUpdate
-
Returns
true
iff thex
is in the set. - mergeInts(int[]) - Static method in class integersets.Util
-
Given
2
32
-bit integers in an array, returns1
64
-bit integer (long) using the bits from those integers. - msb(int) - Static method in class integersets.Util
-
Returns the index of the most significant bit of the target
x
. - msb(long) - Static method in class integersets.Util
-
Returns the index of the most significant bit of the target
x
. - msbConstant(int) - Static method in class integersets.Util
-
Most significant bit in constant time.
- msbConstant(long) - Static method in class integersets.Util
-
Most significant bit in constant time.
- msbConstantVerbose(long) - Static method in class integersets.Util
-
Verbose version of the most significant bit in constant time.
- msbLibrary(int) - Static method in class integersets.Util
-
Uses the standard library function to calculate
msb(x)
. - msbLibrary(long) - Static method in class integersets.Util
-
Uses the standard library function to calculate
msb(x)
. - msbLookupDistributedInput(int) - Static method in class integersets.Util
-
Uses the lookup table to return the most significant bit in
x
as described in https://graphics.stanford.edu/~seander/bithacks. - msbLookupDistributedInput(long) - Static method in class integersets.Util
-
Splits the long
x
and then usesmsbLookupDistributedInput
to return the most significant bit. - msbLookupDistributedOutput(int) - Static method in class integersets.Util
-
Uses the lookup table to return the most significant bit in
x
as described in https://graphics.stanford.edu/~seander/bithacks.html. - msbLookupDistributedOutput(long) - Static method in class integersets.Util
-
Splits the long
x
and then uses themsbLookupDistributedOutput
function to return the most significant set bit of the query. - msbObvious(int) - Static method in class integersets.Util
-
Naive way to calculate
msb(x)
as described in https://graphics.stanford.edu/~seander/bithacks. - msbObvious(long) - Static method in class integersets.Util
-
Naive way to calculate
msb(x)
as described in https://graphics.stanford.edu/~seander/bithacks.
N
- NaiveDynamicFusionNode - Class in integersets
-
Implementation of the
NaiveDynamicFusionNode
data structure, as described in Section 3.3 of the report. - NaiveDynamicFusionNode(int) - Constructor for class integersets.NaiveDynamicFusionNode
-
Constructs an empty
NaiveDynamicFusionNode
with capacity fork
elements. - NonRecursivePatriciaTrie - Class in integersets
-
Implementation of the
NonRecursivePatriciaTrie
data structure, as described in Section A.2.3 of the report. - NonRecursivePatriciaTrie() - Constructor for class integersets.NonRecursivePatriciaTrie
-
Constructs an empty
NonRecursivePatriciaTrie
.
P
- PatriciaTrie - Class in integersets
-
Implementation of the
PatriciaTrie
data structure, as described in Section A.2.2 of the report. - PatriciaTrie() - Constructor for class integersets.PatriciaTrie
-
Constructs an empty
NonRecursivePatriciaTrie
. - predecessor(long) - Method in interface integersets.RankSelectPredecessorUpdate
-
Returns the largest key in the subset of keys that are strictly smaller than
x
. - print(Object) - Static method in class integersets.Util
-
Shortcut function to print to the terminal.
- println(Object) - Static method in class integersets.Util
-
Shortcut function to print to the terminal.
R
- rank(long) - Method in class integersets.BinarySearchTrie
- rank(long) - Method in class integersets.DynamicFusionNodeBinaryRank
- rank(long) - Method in class integersets.DynamicFusionNodeDontCaresInsert
- rank(long) - Method in class integersets.DynamicFusionNodeDontCaresRank
- rank(long) - Method in class integersets.NaiveDynamicFusionNode
- rank(long) - Method in class integersets.NonRecursivePatriciaTrie
- rank(long) - Method in class integersets.PatriciaTrie
- rank(long) - Method in interface integersets.RankSelectPredecessorUpdate
-
Returns the number of keys in the set that are strictly smaller than
x
. - rankLemma1(long, long, int, int) - Static method in class integersets.Util
-
Implementation of Rank Lemma 1.
- rankLemma1Verbose(long, long, int, int) - Static method in class integersets.Util
-
Implementation of Rank Lemma 1, verbose version.
- RankSelectPredecessorUpdate - Interface in integersets
-
Implementation of the
RankSelectPredecessorUpdate
interface, as described in Section 3.1 of the report. - reset() - Method in class integersets.BinarySearchTrie
- reset() - Method in class integersets.DynamicFusionNodeBinaryRank
- reset() - Method in class integersets.DynamicFusionNodeDontCaresInsert
- reset() - Method in class integersets.DynamicFusionNodeDontCaresRank
- reset() - Method in class integersets.NaiveDynamicFusionNode
- reset() - Method in class integersets.NonRecursivePatriciaTrie
- reset() - Method in class integersets.PatriciaTrie
- reset() - Method in interface integersets.RankSelectPredecessorUpdate
-
Resets the data structure, removing all elements.
S
- select(long) - Method in class integersets.BinarySearchTrie
- select(long) - Method in class integersets.DynamicFusionNodeBinaryRank
- select(long) - Method in class integersets.DynamicFusionNodeDontCaresInsert
- select(long) - Method in class integersets.DynamicFusionNodeDontCaresRank
- select(long) - Method in class integersets.NaiveDynamicFusionNode
- select(long) - Method in class integersets.NonRecursivePatriciaTrie
- select(long) - Method in class integersets.PatriciaTrie
- select(long) - Method in interface integersets.RankSelectPredecessorUpdate
-
Assuming the natural ordering of keys, returns the key with rank
rank
. - setBit(int, int) - Static method in class integersets.Util
-
Sets bit at position
d
to1
and returns the key,A
. - setBit(int, long) - Static method in class integersets.Util
-
Sets bit at position
d
to1
and returns the key,A
. - setField(int, int, int, int) - Static method in class integersets.Util
-
Field assignment function.
- setField(int, long, int, long) - Static method in class integersets.Util
-
Field assignment function.
- setField2d(int, int, int, int, int, int) - Static method in class integersets.Util
-
Two-dimensional field assignment.
- setField2d(int, int, long, int, int, long) - Static method in class integersets.Util
-
Two-dimensional field assignment.
- show() - Method in class integersets.BinarySearchTrie
- size() - Method in class integersets.BinarySearchTrie
- size() - Method in class integersets.DynamicFusionNodeBinaryRank
- size() - Method in class integersets.DynamicFusionNodeDontCaresInsert
- size() - Method in class integersets.DynamicFusionNodeDontCaresRank
- size() - Method in class integersets.NaiveDynamicFusionNode
- size() - Method in class integersets.NonRecursivePatriciaTrie
- size() - Method in class integersets.PatriciaTrie
- size() - Method in interface integersets.RankSelectPredecessorUpdate
-
Returns the current cardinality of the set.
- splitLong(long) - Static method in class integersets.Util
-
Given one 64-bit integer x, returns
2
32
-bit integers in a 2-entry array. - successor(long) - Method in interface integersets.RankSelectPredecessorUpdate
-
Returns the smallest key in the subset of keys that are larger or equal to
x
.
T
- toString() - Method in class integersets.BitsKey
-
Returns a string representation of the instance.
- toString() - Method in class integersets.NonRecursivePatriciaTrie
-
Returns a string representation of this set.
U
- Util - Class in integersets
-
Utility class, containing the helper functions described in Section 3.1 of the report.
- Util() - Constructor for class integersets.Util
-
This abstract class cannot be instantiated.
V
W
B C D E G H I L M N P R S T U V WAll Classes All Packages


@harelpls/use-pusher
Easy as React hooks that integrate with the
pusher-js
library.
useChannel
usePresenceChannel
useEvent
useTrigger
usePusher
useClientTrigger
yarn add @harelpls/use-pusher
You must wrap your app with a PusherProvider
and pass it config props for pusher-js
initialisation.
import React from "react";
import { PusherProvider } from "@harelpls/use-pusher";
const config = {
// required config props
clientKey: "client-key",
cluster: "ap4",
// optional if you'd like to trigger events. BYO endpoint.
// see "Trigger Server" below for more info
triggerEndpoint: "/pusher/trigger",
// required for private/presence channels
// also sends auth headers to trigger endpoint
authEndpoint: "/pusher/auth",
auth: {
headers: { Authorization: "Bearer token" },
},
};
// Wrap app in provider
const App = () => {
<PusherProvider {...config}>
<Example />
</PusherProvider>;
};
useChannel
Use this hook to subscribe to a channel.
// returns channel instance.
const channel = useChannel("channel-name");
usePresenceChannel
Augments a regular channel with member functionality.
const Example = () => {
const { members, myID } = usePresenceChannel('presence-awesome');
return (

{Object.entries(members)
// filter self from members
.filter([id] => id !== myID)
// map them to a list
.map([id, info] => (

{info.name}

))
}

)
}
useEvent
Bind to events on a channel with a callback.
const Example = () => {
const [message, setMessages] = useState();
const channel = useChannel("channel-name");
useEvent(channel, "message", ({ data }) =>
setMessages((messages) => [...messages, data])
);
};
Note: This will bind and unbind to the event on each render. You may want to memoise your callback with useCallback
before passing it in if you notice performance issues.
useTrigger
A helper function to create a server triggered event. BYO server (See Trigger Server below). Pass in triggerEndpoint
prop to <PusherProvider />
. Any auth headers from config.auth.headers
automatically get passed to the fetch
call.
import { useTrigger } from '@harelpls/use-pusher';
const Example = () => {.
const trigger = useTrigger();
const handleClick = () =>
trigger("channel-name", "event-name", "hello");
return (
<button onClick={handleClick}>Say Hello</button>
)
}
usePusher
Get access to the Pusher instance to do other things.
import { usePusher } from "@harelpls/use-pusher";
const Example = () => {
const { client } = usePusher();
client.log("Look ma, logs!");
return null;
};
In order to trigger an event, you'll have to create a simple lambda (or an express server if that's your thing). Below is a short lambda that can handle triggered events from useTrigger
.
import Pusher from "pusher";
const pusher = new Pusher({
appId: "app-id",
key: "client-key",
secret: "mad-secret",
cluster: "ap4",
});
export async function handler(event) {
const { channelName, eventName, data } = JSON.parse(event.body);
pusher.trigger(channelName, eventName, data);
return { statusCode: 200 };
}
useClientTrigger
I don't want a server though
I hear ya. If you're feeling audacious, you can use client events to push directly from the client:
import { useChannel, useClientTrigger } from "@harelpls/use-pusher";
const Example = () => {
const channel = useChannel("presence-ca");
const trigger = useClientTrigger(channel);
const handleClientEvent = () => {
trigger("Pew pew");
};
return <button onClick={handleClientEvent}>Fire</button>;
};
This project was built using typescript, so types are built-in. Yeeeew!
I've teamed up with @nikolalsvk on pusher-js-mock
to bring y'all a great pusher mock.
Testing emitted events with jest can be achieved using jest.mock
and @testing-library/react
(or enzyme
, though your tests should reflect what the user should see NOT how the component handles events internally):
// Example.tsx
import React from "react";
import { useChannel, useEvent } from "@harelpls/use-pusher";
const Example = () => {
const [title, setTitle] = useState();
const channel = useChannel("my-channel");
useEvent(channel, "title", ({ data }) => setTitle(data));
return {title};
};
// Example.test.tsx
import { render, act } from "@testing-library/react";
import { PusherMock, PusherChannelMock } from "pusher-js-mock";
// mock out the result of the useChannel hook
const mockChannel = new PusherChannelMock();
jest.mock("@harelpls/use-pusher", () => ({
...require.requireActual("@harelpls/use-pusher"),
useChannel: () => mockChannel,
}));
test("should show a title when it receives a title event", async () => {
// mock the client
const client = new PusherMock("client-key", { cluster: "ap4" });
// render component and provider with a mocked context value
const { findByText } = render(
<PusherProvider clientKey="client-key" cluster="ap4" value={{ client }}>
<Example />
</PusherProvider>
);
// emit an event on the mocked channel
act(() => mockChannel.emit("title", { data: "Hello world" }));
// assert expectations
expect(await findByText("Hello world")).toBeInTheDocument();
});
Check out the example tests for testing presence channels.
This package comes with React Native support. Import your PusherProvider
from @harelpls/use-pusher/react-native
instead of the default @harelpls/use-pusher
. All exports are re-exported from there.
Ensure you add the netinfo package to your project too: @react-native-community/netinfo
.
import { PusherProvider, useChannel } from "@harelpls/use-pusher/react-native";
yarn && yarn test:watch
Please write tests (100% jest coverage) and types.
MIT © @mayteio
This hook is created using create-react-hook.
Generated using TypeDoc


In this chapter we provide routines for preconditioners and iterative methods. The interfaces for Krylov subspace methods are available in the module psb_krylov_mod.
psb_krylov_mod


I Alone Level-up: Chapter 25
-11 . Arrangement-
It had been 3 days since Jinwoo had returned from the C-rank Gate . Having come home early on a Saturday, Jinah smelled something delicious and quickly threw off her shoes .
“What’s this? Oppa, did you order chicken?”
“Yeah, you got here right on time . ”
“Yay!”
Jinwoo gestured to a seat next to him at the table, and Jinah shuffled towards him with a surprised look .
“But what’s the occasion? Did something good happen to my cheapskate oppa?”
“Hey, hey, now . Go put your bags away, you’re being too impatient . ”
“Ha! I’m good, the bag’s not that heavy . ”
This was the same girl who complained about the extra weight of an umbrella in her bag . Even as he clicked his tongue, Jinwoo struggled to hide the smile on his face .
‘Did something good happen?’
Of course!
The numbers in his bankbook had increased from just 800 thousand to a whopping 180 million and 300 thousand . The 180 million was the income from selling the magic cores, and 500 thousand won was sent to the landlord as rent .
A hundred and eighty million won!
This was the incredible amount he had obtained from a single Raid . He had diligently worked as a Hunter in the past, but this was the first time he truly felt like one . After all, great wealth was associated with being a Hunter, but his past income was not that great . The face of the magic core exchange staff still remained fresh in his mind .
“You, you gathered all of this on your own?”
“Yeah, I managed it somehow . ”
“How in the… amazing . ”
49 C-rank magic cores . Initial estimates were little over 300 million, but the taxes on the sale took a bulk amount .
“40%?”
“Yes sir . A personal sale has a tax rate of 40% . On the other hand, a Guild sale has a tax rate of 10% . ”
“Is there a reason why Guilds get a much better rate?”
“Well unlike a private party, a Guild cannot ignore a mobilization order . ”
Now that he thought about it, he recalled that even the great Baekho Guild was pulled into assistance by the Association during the Double Dungeon incident . Because of the many benefits and leniencies they were allowed, Guilds would comply with the orders from the government and the Association . This made Jinwoo stop and think for a second .
‘Should I just enter a Guild and wait on selling these magic cores?’
But he quickly waved away the thought . If he became active in a Guild, the Gates he would be entering would be B-rank or A-rank . The income from those Gates would be much larger than the amount obtained from the C-rank Gate . There was no need to miserly count every penny on these C-rank magic cores .
‘I can’t just thoughtlessly enter a random Guild to save on taxes for just this amount’
“I understand . I’ll make the transaction . ”
And like that, 180 million won came into his account . As his sister had guessed, the chicken and beer were to celebrate the large windfall .
“Thank you for the food~”
Jinwoo flicked the forehead of Jinah who was coyly reaching for a can of beer .
thwack!
“Ow!”
“This is for you . ”
He placed a can of cola in front of her .
“Hiiing… I was just kidding…”
As Jinah rubbed the red spot on her forehead, Jinwoo took a swig of cold refreshing beer . An unexpected sound appeared in his head .
ring~
Jinwoo grimaced at the electronic tone .
‘A System message?’
| A harmful substance has been detected . . |
| The effects of the ‘Detoxification’[1] buff will be activated . . |
| 3, 2, 1… Detoxification complete . . |
‘A harmful substance was detected? Is it talking about the alcohol?’
Jinwoo finished the beer and opened another can .
gulp gulp gulp
| A harmful substance has been detected . . |
| The effects of the ‘Detoxification’ buff will be activated . . |
| 3, 2, 1… Detoxification complete . . |
As expected, the same message appeared . Even after chugging two cans of beer back-to-back, Jinwoo did not feel a hint of a buzz . The effect of the buff was clear .
‘But when and where did I get a buff?’
Jinwoo tilted his head . He had never met a Hunter would could place buffs on others . Hunters with such special abilities mostly worked for large Guilds . There was no chance of meeting someone like that under the Association .
‘Even if someone buffed me without knowing, I should’ve gotten a System notification . ’
That left two possibilities . Either he was buffed while unconscious or he had received the buff before the appearance of the System . Jinwoo’s thoughts leaned towards the latter .
“Oppa, what’s wrong? Indigestion? Should’ve ate slower . ”
Watching his face deep in thought, Jinah asked with concern .
“No, something just came to mind . You keep eating . ”
He went to his room . He ran through his memories, trying to remember if he had missed anything in the past .
‘Ah . ’
A realization flashed across his mind .
‘All the quests have had a reward so far, even the penalty quest . But there was one quest that I haven’t verified the reward for . ’
He quickly opened his message box . At the time, he did not know anything about the System or its rewards, so he had put the message aside, but that message definitely had mentioned a reward as well .
His heartbeat quickened .
Jinwoo scrolled to the last message on the list .
| Welcome to becoming a [Player] . (Read). |
He spoke with a shaky voice,
“Open . ”
ring~
| This System will help with the growth of the “Player” . . Non-compliance with this System’s instructions may result in a penalty . . Your reward has been received . |
As he thought . It had mentioned a reward . He thought back on the first time he heard the voice in his head, back in the underground temple .
[You have fulfilled all conditions of the ‘Secret Quest: The Weak One’s Courage’ . ]
A secret quest was a quest like any other, but Jinwoo had never checked its reward . All that was on his mind at the time was his impending death . Jinwoo scrolled down on the message,
| . Non-compliance with this System’s instructions may result in a penalty . . Your reward has been received . |
| Would you like to verify? (Y/N). |
‘Yes . ’
ring~
| ‘Secret Quest: The Weak One’s Courage’, Received Reward. |
| The Great Sorcerer Kandiaru’s Blessing [2]. |
| One-time effect, ‘Will to be Reborn’ applied on blessing . . Continuous effect, ‘Longevity’ applied on blessing . ‘Will to be Reborn’: All damaged parts of the body are restored . ‘Longevity’: Become immune to all diseases, poisons and ailments . Sleeping will explosively increase your regeneration ability . . Awed by your great courage, the Great Sorcerer Kandiaru has blessed you with a special gift . Blessed by the Great Kandiaru, you will live a long and healthy life “A bright future awaits the challenger . ” |
[3].
Everything fell into place .
‘So that’s why my leg was healed…’
The severed leg that was reattached was due to this quest’s reward . Same with the fact that he could not get drunk off the beer just now .
‘Wait, immunity to all poisons?’
Jinwoo suddenly became alert . Perhaps even that would be…?
Jinwoo took out an item from his inventory .
| Casaka’s Venom Gland. |
| Rarity: A. Type: Elixir. Buff ‘Casaka’s Armored Scales’ applied on consumption . Debuff ‘Weakened Muscles’ applied on consumption . ‘Casaka’s Armored Scales’: Physical Damage Reduction +20% ‘Weakened Muscles’: Strength -35. A pouch containing the refined venom of Casaka . Drinking will give you a permanently toughened skin, but the venom will also permanently damage your muscles . |
‘If the muscle debuff was due to the venom, maybe the detoxification buff will block it . ’
Only one way to find out . Jinwoo closed his eyes and drank the substance from the pouch .
gulp gulp
The thick liquid went down his throat . He ignored the bitter taste and finished the whole pouch .
‘Bleh, and they say medicine is bitter…’
As the pouch became empty, a message appeared .
| A harmful substance has been detected . . |
| The effects of the ‘Detoxification’ buff will be activated . . |
| 3, 2, 1… Detoxification complete . . |
| The debuff, ‘Weakened Muscles’, has been removed . . |
“It worked!”
Jinwoo raised his fist in the air in triumph and checked his status screen .
‘Stat . ’
. .
| Stats. Strength: 53 Constitution: 30 Agility: 53 Intelligence: 30 Sense: 36. (Available stat points: 0). Physical Damage Reduction: 20% |
As expected, there was no reduction in strength . It remained at 53 points, but a new attribute of physical damage reduction had appeared . An amazing power to reduce all physical damage taken by 20% .
“Good!”
As he celebrated his new stat, Jinah called to him from the living room .
“Oppa, do you know someone named Yoo Jinwoo? An Yoo Jinwoo is looking for you . ”
“I don’t think his name is Yoo Jinwoo…”
He went over to the living room and took the receiver from his sister .
“Hello . ”
-“Hyungnim, it’s me, Yoo Jinho . ”
Of course .
“…How did you get this number?”
-“I know someone in the Association . You weren’t answering your cell phone, so I decided to reach you through your home phone . ”
“Make it short . ”
-“Ah! I apologize, hyungnim . But there’s something I really want to discuss with you . It’s hard to explain over the phone, can we meet up somewhere?”
Jinwoo tilted his head .
‘After all that, you still want to meet with me?’
-“It’s really important, hyungnim . ”
He was a really strange fellow .
Jinwoo allowed Yoo Jinho exactly 1 hour of his time . They met at a French café near Jinwoo’s house . Even on a weekday afternoon, the café was packed with people .
“Hyungnim, over here!”
Yoo Jinho greeted him happily . Jinwoo had expanded his senses when he entered but did not notice any other Hunters . At the very least, this was not going to be an ambush for some retaliation . Well, Jinwoo didn’t exactly recall anything to be retaliated for .
He sat down opposite from Yoo Jinho . In front of him was half-eaten ice cream in a bowl .
“I didn’t think I’d see you again . ”
Yoo Jinho stood up and asked,
“Did you order anything? Shall I go grab some coffee?”
“No, it’s okay . ”
With a disappointed face, Yoo Jinho sat back down .
Jinwoo opened his mouth to speak,
“So what’s this all about-“
But he was interrupted by a group of students a table over .
“I’m telling you it’s true! You should’ve seen it, it was crazy!”
There were three strong looking boys wearing athletic-club uniforms talking with three girls . Jinwoo tried to focus on the conversation on hand,
“So what’s this all-“
“What are you talking about!   I got the proof right here!”
The male students’ voices were loud, but just as annoying was the giggling female students .
“…”
Unable to talk through the loud conversation next to them, Jinwoo got up and quietly walked over to the other table . The three boys’ faces turned to Jinwoo in unison .
“Could you please quiet down a little? There are other people here .
“Yes sir, yes sir . We’ll be quiet . Sowwy~”
The girls laughed at his apology .
“…”
Jinwoo just stared at them, then turned around .  A rolled-up napkin fell on to the floor .
“Hahahahaha!”
“Hehehehehehe!”
“Stop it! Haha, stop it!”
The male students laughed out loud, while the female students pretended to stop them and laugh . Yoo Jinho’s face that was watching the scene started to freeze .
“H-hyungnim…”
Jinwoo grabbed a spoon from Yoo Jinho’s ice cream bowl and went over to the counter .
“Look at that him, he’s going to tell on us . ”
“Waah- mommy, there’s some people being loud, waah . Hahaha”
Even as he walked, the students continued their mocking . Jinwoo asked the nervous looking shop employee,
“This spoon . How much is it?”
“I’m sorry customer, we don’t really sell those spoons . ”
“It’s less than ten thousand, right?”
“Sir? Ah, well… probably…”
Jinwoo placed a ten thousand won bill on the counter and turned around .
“Customer? S-sir?”
Jinwoo ignored the woman’s voice and walked towards the students’ table . Seeing him approach with a serious expression, the male students rose up from their seats .
“What, you wanna go?”
Every eye in the shop was focused on the scene that was unfolding .
Jinwoo held out the spoon that he was holding to the boys .
“…?”
“…?”
As they looked at him with confusion, Jinwoo slowly closed his fist around the spoon . The metallic spoon crumpled into an unrecognizable mess in his hand .
The boys’ faces began to turn white .
toss
roll roll roll
The thing that rolled across the table could no longer be called a spoon . It was a piece of metal crushed into a ball shape .
“!”
Each of the boys gulped .
‘That’s not an ordinary human’s strength . ’
‘H-he’s a Hunter . ’
As they cast glances at each other, the boy who had thrown the paper napkin was the first to lower his head .
“I’m… I’m sorry . ”
The other two quickly followed .
“Sorry…”
“We made a mistake . Sorry…”
After repeatedly bowing their heads, the boys quickly ran out of the café with the girls in tow .
Whoa-
The other customers, also bothered by the students’ loud rambling, sent a silent gratitude toward Jinwoo . He returned to his seat . Yoo Jinho exclaimed with sparkles in his eyes,
“As expected of hyungnim!”
“Enough . ”
Jinwoo steered the conversation back to the start,
“So . What . Is . This . About?”
“Well… hyungnim . I gave it a lot of thought . Like, I really really thought about it hard . And there’s something I want to ask you . ”
Jinwoo tilted his head,
“And?”
“Hyungnim, the truth is…”
Yoo Jinho’s face turned red with embarrassment . He gathered the courage to finish his sentence .
“…I’m trying to create a private raiding party-“
It didn’t even take Jinwoo one second to think about it .
“I refuse . ”
.
Translator’s Notes:
[1]: “Detoxification” (해독): Literal translation of the word . Could also mean “neutralize/cure poison”
[2]: “Great Sorcerer Kandiaru” (대주술사 칸디아루): “great” 대 + “sorcerer” 주술사 . 칸디아루 = khan - dee - ah - ru .
[3]: “Will to be Reborn” (재활의 의지): “rehabilitation” 재활 + “will” 의지 . The word for “rehabilitation” can also be read as “rebirth” . “Longevity” (무병장수): Lit . translation of the word . “No” 무 + “sickness” 병 + “life” 장수


BSF conducts slew of events in Meghalaya to mark 55th Raising Day
Staff Reporter
GUWAHATI: In continuation of the 55th Raising Day celebration of the BSF, an interaction programme was organized by 55 Bn BSF at the community hall in Gasuapara, South Garo Hills in Meghalaya. Teachers and students from nearby schools attended the programme. The historical importance of Killapara during the 1971 Bangladesh war was explained to the gathering. The participants came to know about the sacrifice of 9 BSF soldiers while maintaining the sanctity of the border.
In addition to this, 75 Bn BSF also organized a documentary show at UP School in Dalu, West Garo Hills. Documentaries on Kargil, the Wagah Retreat ceremony, BSF Raising Day parade and a Garo short movie Great Father were screened to the students.
In another event, a civic action programme was organized by the 26 Bn BSF at LP school Beldova, West Garo Hills district, Meghalaya. Under the programme, 5 sewing machines were distributed to 22 women from village Beldova.
One medical camp was also organised at BOP Gopinathkilla, 26 Bn BSF under the supervision of veteran doctors of BSF. During the camp, health and malaria check-ups were carried out and medicines were distributed to 260 villagers from Gopinathkilla and neighbouring villages.
Also Read: BSF Raising Day celebrations with patriotic band show on 1st December
Also Watch: AGP leadership has not been vocal against the CAB: Prafulla Kumar Mahanta


Coordinating File List Updates Between Co-moderators
Whenever you want to make a change to the file list in, say, my.conf/files, you post a new message in the CC topic (let's call it cc.conf/flists) with title "Updating my.conf/files" and with the body of the message describing what you want to do - add fnord.zip, remove wibble.txt or whatever. You also update your copies of the mod's flist and fdir in the same blink.
If, after blinking, there are no un-commented messages (other than your own) in cc.conf/flists for my.conf/files, all is well and you go ahead with your changes and post a comment to your message saying "done" or whatever after you have updated the file list.
However, if someone else has posted an update message, you can either abandon your changes (if the other mod has announced that se is making the same changes as you plan) by commenting "abandoned" to your message, or you can wait until the other mod has posted their "done" comment, redownload the mod's flist and fdir and then make your changes and post your "done" comment. It's important always to post a comment, whether it be "done" or "abandoned", as otherwise the file list will remain "locked" for all other moderators.
It sounds complicated, but in practice it works very well; this is the method used for coordinating updates to all the Ameol forum file lists.


A version of the graphs example, but using custom easing functions (not included in tween.js by default).


Dabangg 3 Makers To Release Chulbul Pandey GIFs on WhatsApp, Instagram, TikTok & Other Social Platforms
Dabangayyi takes over the web and audience hooked to Dabangg 3 GIFs and stickers.
by Koimoi.com TeamWith one month to go for the release of the film, Chulbul Pandey has a unique gift for the fans!
Now the fans can express themselves the Chulbul way with Dabangg 3 GIFs.
GIFs to be launched on WhatsApp on 20th of November, they will be available on the GIPHY homepage from 21st and Stickers will be live on Instagram, Snapchat and TikTok from 22nd November!
Dabangayyi takes over the web and audience hooked to Dabangg 3 GIFs and stickers.
Chulbul Pandey has been receiving public love for the longest time and having your favourite character on your tips will double the fun and enrich the social media experience in Dabangg style.
The much-awaited Dabangg 3 is directed by Prabhudeva and produced by Salma Khan, Arbaaz Khan and Nikhil Dwivedi under the banner of Salman Khan Films and is slated to release on 20th December, this year.


Module: HTTY::CLI::BodyOpenCommand::ClassMethods
- Defined in:
- lib/htty/cli/body_open_command.rb
Instance Method Summary (collapse)
-
- (Object) command_line_arguments
Returns the arguments for the command-line usage of the command.
-
- (Object) help_extended
Returns the extended help text for the command.
Instance Method Details
- (Object) command_line_arguments
Returns the arguments for the command-line usage of the command.
22 23 24 |
# File 'lib/htty/cli/body_open_command.rb', line 22 def command_line_arguments '[OPTIONS]' end |
- (Object) help_extended
Returns the extended help text for the command.
27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
# File 'lib/htty/cli/body_open_command.rb', line 27 def help_extended "#{help_extended_preamble}\n" + "\n" + 'The shell command used to launch the program is platform-specific. On ' + "Windows, the 'start' command is used. On other platforms, the 'open' " + "command is used. (The 'open' command may not be available on your " + "system.)\n" + "\n" + 'You may specify options to be passed to the program. For example, on ' + 'Mac OS X, your default program for HTML files may be Google Chrome, ' + 'but you can launch Firefox instead by typing ' + "#{strong command_line + ' -a firefox'}. Likewise, on Windows your " + 'default program for HTML files may be Internet Explorer, but you can ' + "launch Opera instead by typing #{strong command_line + ' opera'}." end |


CoroutineScheduler
public protocol CoroutineScheduler
A protocol that defines how to execute a task.
This protocol has extension methods that allow to launch coroutines on a current scheduler.
Inside the coroutine you can use such methods as Coroutine.await(_:)
, CoFuture.await()
,
and CoroutineScheduler.await(_:)
to suspend the coroutine without blocking a thread
and resume it when the result is ready.
To launch a coroutine, use CoroutineScheduler.startCoroutine(_:)
.
//execute coroutine on the main thread
DispatchQueue.main.startCoroutine {
//extension that returns CoFuture<(data: Data, response: URLResponse)>
let dataFuture = URLSession.shared.dataTaskFuture(for: url)
//await result that suspends coroutine and doesn't block the thread
let data = try dataFuture.await().data
}
The framework includes the implementation of this protocol for DispatchQueue
and you can easily make the same for other schedulers as well.
extension OperationQueue: CoroutineScheduler {
public func scheduleTask(_ task: @escaping () -> Void) {
addOperation(task)
}
}
-
Performs the task at the next possible opportunity.
Declaration
Swift
func scheduleTask(_ task: @escaping () -> Void)
-
startCoroutine(in:
Extension methodtask: ) Start a new coroutine on the current scheduler.
As an example, with
Coroutine.await(_:)
you can wrap asynchronous functions with callbacks to synchronously receive its result without blocking the thread.//start new coroutine on the main thread DispatchQueue.main.startCoroutine { //execute someAsyncFunc() and await result from its callback let result = try Coroutine.await { someAsyncFunc(callback: $0) } }
Declaration
Swift
public func startCoroutine(in scope: CoScope? = nil, task: @escaping () throws -> Void)
Parameters
scope
CoScope
to add coroutine to.task
The closure that will be executed inside coroutine. If the task throws an error, then the coroutine will be terminated.
-
await(_:
Extension method) Start a coroutine and await its result. Must be called inside other coroutine.
This method allows to execute given task on other scheduler and await its result without blocking the thread.
//start coroutine on the main thread DispatchQueue.main.startCoroutine { //execute someSyncFunc() on global queue and await its result let result = try DispatchQueue.global().await { someSyncFunc() } }
Throws
Rethrows an error from the task or throwsCoroutineError
.Declaration
Swift
@inlinable public func await<T>(_ task: () throws -> T) throws -> T
Parameters
task
The closure that will be executed inside coroutine.
Return Value
Returns the result of the task.
-
coroutineFuture(_:
Extension method) Starts a new coroutine and returns its future result.
This method allows to execute a given task asynchronously inside a coroutine and returns
CoFuture
with its future result immediately.Note
If you cancel thisCoFuture
, it will also cancel the coroutine that was started inside of it.//execute someSyncFunc() on global queue and return its future result let future = DispatchQueue.global().coroutineFuture { someSyncFunc() } //start coroutine on main thread DispatchQueue.main.startCoroutine { //await result of future let result = try future.await() }
Declaration
Swift
@inlinable public func coroutineFuture<T>(_ task: @escaping () throws -> T) -> CoFuture<T>
Parameters
task
The closure that will be executed inside the coroutine.
Return Value
Returns
CoFuture
with the future result of the task. -
actor(of:
Extension methodbufferType: body: ) Starts new coroutine that is receiving messages from its mailbox channel and returns its mailbox channel as a
Sender
.An actor coroutine builder conveniently combines a coroutine, the state that is confined and encapsulated into this coroutine, and a channel to communicate with other coroutines.
Note
If you cancel thisCoChannel
, it will also cancel the coroutine that was started inside of it.//Message types for actor enum CounterMessages { case increment, getCounter(CoPromise<Int>) } let actor = DispatchQueue.global().actor(of: CounterMessages.self) { receiver in var counter = 0 for message in receiver { switch message { case .increment: counter += 1 case .getCounter(let promise): promise.success(counter) } } } DispatchQueue.concurrentPerform(iterations: 100_000) { _ in actor.offer(.increment) } let promise = CoPromise<Int>() promise.whenSuccess { print($0) } actor.offer(.getCounter(promise)) actor.close()
Declaration
Parameters
type
CoChannel
generic type.bufferType
The type of channel buffer.
body
The closure that will be executed inside coroutine.
Return Value
CoChannel.Sender
for sending messages to an actor.


{% extends "base.html" %} {% block content %}
This is a neural network that has been trained on a list of the 18,084 English place names on Wikipedia.
You can read more on my blog.
If this has given you a fleeting moment of joy, consider donating. {% endblock %}


Microsoft Flight Simulator is a game-as-service platform – but that service is mods
by Dustin BaileyMicrosoft Flight Simulator is coming down the pipe, and while the actual release is still some distance away, the insider program and playable tests are soon getting underway in earnest. We got a gorgeous new trailer among the X019 news, but there are still a lot of questions about the features of the latest in plane games – including mods. While we still don’t know specifics, it seems that community creations are pretty core to the team’s plans.
 “Our responsibility is to the community who wants to make content.” Neumann says he stays in contact with some of the community’s most dedicated modders – including one who books vacations at airports for research. “He takes 20,000 pictures, and then he builds airports for a year. That’s his hobby.”
Neumann says “I want those people to have all the tools. I tell them, ‘tell me what you always wanted and you never had, so we can build it for you.’”
Many of the most prolific modders sell their creations, and Neumann says that’s affected plans for what will be included in the base game – “those people need to make some money,” so he doesn’t want to “put those fans out of a job.”
It’s about “giving them the right tools and the right platform to allow them to do what they want to do.”
Going back to Flight Simulator X, the series is “a game-as-a-service. Maybe it was the first game as a service, because that’s what they did on their own.” Looks like that won’t change with the next iteration of Microsoft Flight Simulator.