The astral module provides the means to calculate dawn, sunrise, solar noon, sunset, dusk and rahukaalam times, plus solar azimuth and elevation, for specific cities or at a specific latitude/longitude. It can also calculate the moon phase for a specific date.
The module provides 2 main classes Astral and City.
Has 2 main responsibilities
For example
>>> from astral import *
>>> a = Astral()
>>> city = a['London']
>>> print('Information for %s' % city.name)
Information for London
>>> timezone = city.timezone
>>> print('Timezone: %s' % timezone)
Timezone: Europe/London
>>> print('Latitude: %.02f; Longitude: %.02f' % (city.latitude, city.longitude))
Latitude: 51.60; Longitude: 0.05
>>> sun = city.sun(local=True)
>>> print('Dawn: %s' % str(sun['dawn']))
Dawn: 2009-04-22 05:12:56+01:00
Returns the City instance specified by key.
| Return type: | The database of cities. |
|---|
Calculate dawn time in the UTC timezone.
| Parameters: |
|
|---|---|
| Return type: | date/time in UTC timezone |
Calculate dusk time in the UTC timezone.
| Parameters: |
|
|---|---|
| Return type: | date/time in UTC timezone |
Calculates the phase of the moon on the specified date.
| Parameters: | date (datetime.date) – The date to calculate the phase for. |
|---|---|
| Return type: | Integer designating phase
|
Calculate ruhakaalam times in the UTC timezone.
| Parameters: |
|
|---|---|
| Return type: | Dictionary with keys start and end |
Calculate the azimuth of the sun in the UTC timezone.
| Parameters: |
|
|---|---|
| Return type: | Azimuth in degrees |
The number of degrees the sun must be below the horizon for the dawn/dusk calc.
Can either be set as a number of degrees below the horizon or as one of the following strings
| String | Degrees |
|---|---|
| civil | 6.0 |
| nautical | 12.0 |
| astronomical | 18.0 |
Calculate the elevation of the sun.
| Parameters: |
|
|---|---|
| Return type: | Elevation in degrees |
Calculate solar noon time in the UTC timezone.
| Parameters: |
|
|---|---|
| Return type: | date/time in UTC timezone |
Calculate all the info for the sun at once.
| Parameters: |
|
|---|---|
| Return type: | Dictionary with keys dawn, sunrise, noon, sunset and dusk |
Calculate sunrise time in the UTC timezone.
| Parameters: |
|
|---|---|
| Return type: | date/time in UTC timezone |
Calculate sunset time in the UTC timezone.
| Parameters: |
|
|---|---|
| Return type: | date/time in UTC timezone |
Provides access to information for single city.
Initializes the object with a tuple of information.
| Parameters: | info – A tuple of information to fill in the city info. The tuple should contain items in the following order
See timezone property for a method of obtaining time zone names |
|---|
Calculates the time in the morning when the sun is a certain number of degrees below the horizon. By default this is 6 degrees but can be changed by setting the Astral.solar_depression property.
| Parameters: |
|
|---|---|
| Return type: | datetime.datetime of dawn |
Calculates the dusk time (the time in the evening when the sun is a certain number of degrees below the horizon. By default this is 6 degrees but can be changed by setting the Astral.solar_depression property.)
| Parameters: |
|
|---|---|
| Return type: | datetime.datetime of dusk |
The city’s latitude
latitude can be set either as a string or as a number
For strings they must be of the form:
degrees°minutes'[N|S] e.g. 51°31'N
For numbers, negative numbers signify latitudes to the South.
The city’s longitude.
longitude can be set either as a string or as a number
For strings they must be of the form:
degrees°minutes'[E|W] e.g. 51°31'W
For numbers, negative numbers signify longitudes to the East. This is opposite to the normal convention of +ve being to the West but is required for the calculations.
Calculates the period of rahukaalam.
| Parameters: |
|
|---|---|
| Return type: | datetime.datetime of dusk |
Calculates the solar azimuth angle for a specific date/time.
| Parameters: | dateandtime (datetime.datetime) – The date and time for which to calculate the angle. |
|---|---|
| Return type: | The angle in degrees clockwise from North as a float. |
Calculates the solar elevation angle for a specific time.
| Parameters: | dateandtime (datetime.datetime) – The date and time for which to calculate the angle. |
|---|---|
| Return type: | The angle in degrees from the horizon as a float. |
Calculates the solar noon (the time when the sun is at its highest point.)
| Parameters: |
|
|---|---|
| Return type: | datetime.datetime of noon |
Returns dawn, sunrise, noon, sunset and dusk as a dictionary.
| Parameters: |
|
|---|---|
| Return type: | datetime.datetime of dusk |
Return sunrise time.
Calculates the time in the morning when the sun is a 0.833 degrees below the horizon. This is to account for refraction.
| Parameters: |
|
|---|---|
| Return type: | datetime.datetime of sunrise |
Calculates sunset time (the time in the evening when the sun is a 0.833 degrees below the horizon. This is to account for refraction.)
| Parameters: |
|
|---|---|
| Return type: | datetime.datetime of sunset |
The name of the time zone in which the city is located.
A list of time zone names can be obtained from pytz. For example.
>>> from pytz import all_timezones
>>> for tz in all_timezones:
... print tz
The timezone.


There is no difference between microservices guards and the regular guards. The only thing you should be aware of is that instead of throwing HttpException
, you should use the RpcException
.
Hint TheRpcException
class is exposed from@nestjs/microservices
package.
Here is an example that makes use of a method-scoped guard (class-scoped works either):
@UseGuards(AuthGuard)
@MessagePattern({ cmd: 'sum' })
sum(data: number[]): number {
return (data || []).reduce((a, b) => a + b);
}


Links are placed in the same order as slides goes
More on types
Type conversion
Loops
Controll flow
Arrays


First, we need to include Chart.js, SheetJS (xlsx) and chartjs-plugin-datasource.js in our page.
<script type="text/javascript" src="Chart.js"></script>
<script type="text/javascript" src="xlsx.full.min.js"></script>
<script type="text/javascript" src="chartjs-plugin-datasource.js"></script>
We need to have a canvas in our page.
<canvas id="myChart"></canvas>
We create an Excel spreadsheet file as a data source for our chart.
We have two datasets that contain temperature and precipitation for each month.
The first row and column will be used as index labels and dataset labels respectively.
| A | B | C | D | E | F | G | H | |
|---|---|---|---|---|---|---|---|---|
| 1 | January | February | March | April | May | June | July | |
| 2 | Temperature | 7 | 7 | 10 | 15 | 20 | 23 | 26 |
| 3 | Precipitation | 8.1 | 14.9 | 41.0 | 31.4 | 42.6 | 57.5 | 36.0 |
Now, we can create a chart. We add a script to our page specifying
spreadsheet's URL. Don't forget to specify ChartDataSource as a plugins option.
var ctx = document.getElementById('myChart').getContext('2d');
var chart = new Chart(ctx, {
type: 'bar',
plugins: [ChartDataSource],
options: {
daatasource: {
url: 'sample-dataset.xlsx'
}
}
});
In order to make the chart more attractive, let's mix
bars and line, use multiple Y axes and add colors.
...
data: {
datasets: [{
type: 'line',
yAxisID: 'temperature',
backgroundColor: 'transparent',
borderColor: 'rgb(255, 99, 132)',
pointBackgroundColor: 'rgb(255, 99, 132)',
tension: 0,
fill: false
}, {
yAxisID: 'precipitation',
backgroundColor: 'rgba(54, 162, 235, 0.5)',
borderColor: 'transparent'
}]
},
...
options: {
...
scales: {
yAxes: [{
id: 'temperature',
gridLines: {
drawOnChartArea: false
}
}, {
id: 'precipitation',
position: 'right',
gridLines: {
drawOnChartArea: false
}
}]
},
...
What if rows and columns in the spreadsheet are switched?
Below is an example of a spreadsheet and plugin options for
loading the data in which each row contains values for one index.
| A | B | C | |
|---|---|---|---|
| 1 | Temperature | Precipitation | |
| 2 | January | 7 | 8.1 |
| 3 | February | 7 | 14.9 |
| 4 | March | 10 | 41.0 |
| 5 | April | 15 | 31.4 |
| 6 | May | 20 | 42.6 |
| 7 | June | 23 | 57.5 |
| 8 | July | 26 | 36.0 |
...
options: {
daatasource: {
url: 'sample-index.xlsx',
rowMapping: 'index'
}
...
Data might be in form of Tidy Data. You can load this type of data
by setting the rowMapping option to 'datapoint'. The first row will be
used as datapoint labels, and you can use the datapointLabelMapping
option to map the labels to property names for Point objects.
| A | B | C | |
|---|---|---|---|
| 1 | dataset | month | value |
| 2 | Temperature | January | 7 |
| 3 | Temperature | February | 7 |
| 4 | Temperature | March | 10 |
| 5 | Temperature | April | 15 |
| 6 | Temperature | May | 20 |
| 7 | Temperature | June | 23 |
| 8 | Temperature | July | 26 |
| 9 | Precipitation | January | 8.1 |
| 10 | Precipitation | February | 14.9 |
| 11 | Precipitation | March | 41.0 |
| 12 | Precipitation | April | 31.4 |
| 13 | Precipitation | May | 42.6 |
| 14 | Precipitation | June | 57.5 |
| 15 | Precipitation | July | 36.0 |
...
options: {
daatasource: {
url: 'sample-datapoint.xlsx',
rowMapping: 'datapoint',
datapointLabelMapping: {
_dataset: 'dataset',
_index: 'month',
x: 'month',
y: 'value'
}
}
...
If you want to use only a part of cells in a spreadsheet,
you can select a range using A1 notation.
| A | B | C | D | E | F | G | H | |
|---|---|---|---|---|---|---|---|---|
| 1 | January | February | March | April | May | June | July | |
| 2 | Temperature | 7 | 7 | 10 | 15 | 20 | 23 | 26 |
| 3 | Precipitation | 8.1 | 14.9 | 41.0 | 31.4 | 42.6 | 57.5 | 36.0 |
...
options: {
daatasource: {
url: 'sample-dataset.xlsx',
datasetLabels: 'Sheet1!A2:A3',
indexLabels: 'Sheet1!D1:G1',
data: 'Sheet1!D2:G3'
}
...
See also GitHub repository and samples


Before Change
self.global_timestep = self.agent.timestep
self.global_episode = self.agent.episode
if terminal is not None:
// Callback plus experiment termination check
if (
callback_timestep_frequency is not None and
(self.episode_timestep[parallel] % callback_timestep_frequency) == 0 and
not callback(self, parallel)
):
return
if terminal is True:
// Update experiment statistics
self.episode_rewards.append(self.episode_reward[parallel])
self.episode_timesteps.append(self.episode_timestep[parallel])
After Change
no_environment_ready = False
states, terminal, reward = observation
if terminal is None:
// Retrieve actions from agent
actions = self.agent.act(
states=states, deterministic=deterministic, parallel=parallel
)
self.episode_timestep[parallel] += 1
// Execute actions in environment
environment.start_execute(actions=actions)
continue
// Terminate episode if too long
if max_episode_timesteps is not None and \
self.episode_timestep[parallel] >= max_episode_timesteps:
terminal = True


Subsystem Monitoring¶
UNDERSEA features a subsystem monitoring system that users can register callbacks with to perform various activities against. This may include logging their current state or validating their health. This functionality is demonstrated in this tutorial.
Subsystems in UNDERSEA are an important part of how the consensus algorithm achieves a deterministic consensus. The consensus is a function of the UUV’s current battery level, speed and all the subsystem’s current state. Users may wish to alter the system’s representation of a subsystem based on signals not received through UNDERSEA itself. To achieve this, users can utilise monitor callbacks.
Subsystems are registered against a SubsystemMonitor
instance. For the purposes of local development, a SubsystemMonitorSpoofer
instance is used which decays a subsystem’s performance over time. Lets create a simple sensor and register it:
SubsystemMonitorSpoofer monitorSpoofer = new SubsystemMonitorSpoofer();
monitorSpoofer.monitorSubsystem(new Sensor("test", 50, 50, Sensor.SensorType.SIDESCAN_SONAR));
From here, we can register a monitor callback that will shutdown the system if the sensor’s health drops below 10%:
monitorSpoofer.setMonitorCallback((subsystem) -> {
if (subsystem.health() < 10) {
throw new UnderseaException(ErrorCode.SERVICE_FAILED, monitorSpoofer, subsystem.name() + " health is too low to continue");
}
});
Now we can spoof this sensor’s health degrading using the ServiceManager
’s task scheduling system:
serviceManager.scheduleTask(() -> {
for (Subsystem s : monitorSpoofer.getSubsystems()) {
Sensor sensor = (Sensor) s;
sensor.setHealth(0);
}
}, 5);
This creates a task that will start in five seconds time and drops the sensor’s health to zero. Subsystem monitoring occurs every 500 milliseconds and will call the callback that we registered against the monitorSpoofer
instance. This will cause our agent to fail and initiate shutdown procedure.
Complete code¶
package com.type2labs.undersea.tutorials.tutorialc;
import com.type2labs.undersea.common.agent.*;
import com.type2labs.undersea.common.consensus.ConsensusClusterConfig;
import com.type2labs.undersea.common.logger.LogServiceImpl;
import com.type2labs.undersea.common.monitor.impl.SubsystemMonitorSpoofer;
import com.type2labs.undersea.common.service.ServiceManager;
import com.type2labs.undersea.prospect.impl.ConsensusNodeImpl;
import com.type2labs.undersea.tutorials.tutoriala.MissionManagerSample;
import com.type2labs.undersea.utilities.exception.ErrorCode;
import com.type2labs.undersea.utilities.exception.UnderseaException;
import org.apache.logging.log4j.Level;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.core.LoggerContext;
import org.apache.logging.log4j.core.config.Configuration;
import org.apache.logging.log4j.core.config.LoggerConfig;
import java.util.List;
public class RunnerC {
static {
LoggerContext ctx = (LoggerContext) LogManager.getContext(false);
Configuration config = ctx.getConfiguration();
LoggerConfig loggerConfig = config.getLoggerConfig("io.netty");
loggerConfig.setLevel(Level.INFO);
ctx.updateLoggers();
}
public static void main(String[] args) {
AgentFactory agentFactory = new AgentFactory();
List<Agent> agents = agentFactory.createN(5);
for (Agent agent : agents) {
ServiceManager serviceManager = agent.serviceManager();
serviceManager.registerService(new ConsensusNodeImpl(new ConsensusClusterConfig()));
SubsystemMonitorSpoofer monitorSpoofer = new SubsystemMonitorSpoofer();
monitorSpoofer.monitorSubsystem(new Sensor("test", 50, 50, Sensor.SensorType.SIDESCAN_SONAR));
monitorSpoofer.setMonitorCallback((subsystem) -> {
if (subsystem.health() < 10) {
throw new UnderseaException(ErrorCode.SERVICE_FAILED, monitorSpoofer, subsystem.name() + " health is too low to continue");
}
});
serviceManager.registerService(monitorSpoofer);
serviceManager.registerService(new MissionManagerSample());
serviceManager.registerService(new LogServiceImpl());
serviceManager.scheduleTask(() -> {
for (Subsystem s : monitorSpoofer.getSubsystems()) {
Sensor sensor = (Sensor) s;
sensor.setHealth(0);
}
}, 5);
serviceManager.startServices();
agent.state().transitionTo(AgentState.State.ACTIVE);
}
for (Agent a : agents) {
for (Agent b : agents) {
if (a != b) {
ConsensusNodeImpl consensusNodeA = a.serviceManager().getService(ConsensusNodeImpl.class);
ConsensusNodeImpl consensusNodeB = b.serviceManager().getService(ConsensusNodeImpl.class);
consensusNodeA.state().discoverNode(consensusNodeB);
}
}
}
}
}


Copyright Information
Cyan Chat is copyrighted to Cyan Worlds, Inc., and is developed and maintained by Mark DeForest.
Magenta, on the other hand, in its C++/MFC form is copyright © 2002-2008 to me, Rick Coogle, a.k.a. Yohshee.
The Visual Basic 6.0 form is much older; still copyrighted to me; and that's all I'm saying about that.
See Help -> About for a repeat of this copyright notice.
Get in touch with me at my email address if you have any questions.
All Source Code, Help Files, and Executables fall under this copyright. Details for what you can do with the source code/help file sources are outlined in the readme-src.txt provided in the ZIP file.
All Rights Reserved.


Tweet
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The map, images, and rankings data are loading.
Thanks for your patience!


The SQL page (Host > Advanced Settings > SQL) enables SuperUsers to execute SQL queries against each of the databases defined in the web.config file. This automatically replaces {databaseowner} or {objectqulalifier} with the appropriate values. Details of executed SQL queries are logged in the Log Viewer module.
The SQL page


public static final class CanonMakernoteDirectory.FocalLength
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static int |
TAG_AEB_BRACKET_VALUE |
static int |
TAG_AF_POINT_USED |
static int |
TAG_AUTO_EXPOSURE_BRACKETING |
static int |
TAG_FLASH_BIAS
The value of this tag may be translated into a flash bias value, in EV.
|
static int |
TAG_SEQUENCE_NUMBER |
static int |
TAG_SUBJECT_DISTANCE |
static int |
TAG_WHITE_BALANCE
0 = Auto
1 = Sunny
2 = Cloudy
3 = Tungsten
4 = Florescent
5 = Flash
6 = Custom
|
| Constructor and Description |
|---|
CanonMakernoteDirectory.FocalLength() |
public static final int TAG_WHITE_BALANCE
public static final int TAG_SEQUENCE_NUMBER
public static final int TAG_AF_POINT_USED
public static final int TAG_FLASH_BIAS
public static final int TAG_AUTO_EXPOSURE_BRACKETING
public static final int TAG_AEB_BRACKET_VALUE
public static final int TAG_SUBJECT_DISTANCE
Copyright © 2003-2012 Drew Noakes. All Rights Reserved.


An Angular app where users may enter a GitHub username into a form, submit it, and see names and descriptions of that person's public repositories. A person can also look for repositories


Test for bug 13029: Permit NPAPI plug-ins to see HTTP response headers.
Expected result below is two HTTP response extracts, one for the initial stream specified in the "src" attribute, the other for an NPN_GetURLNotify request. Each block should contain the URL; the status line, which should say "HTTP 200 OK"; and the MIME-type, which should say "Content-Type: text/plain".
----------
Running test, result should appear here in a very short time...
----------
Running test, result should appear here in a very short time...


Dating with girls(2)
问题描述 :
If you have solved the problem Dating with girls(1).I think you can solve this problem too.This problem is also about dating with girls. Now you are in a maze and the girl you want to date with is also in the maze.If you can find the girl, then you can date with the girl.Else the girl will date with other boys. What a pity!
The Maze is very strange. There are many stones in the maze. The stone will disappear at time t if t is a multiple of k(2<= k <= 10), on the other time , stones will be still there.
There are only ‘.’ or ‘#’, ’Y’, ’G’ on the map of the maze. ’.’ indicates the blank which you can move on, ‘#’ indicates stones. ’Y’ indicates the your location. ‘G’ indicates the girl’s location . There is only one ‘Y’ and one ‘G’. Every seconds you can move left, right, up or down.
The Maze is very strange. There are many stones in the maze. The stone will disappear at time t if t is a multiple of k(2<= k <= 10), on the other time , stones will be still there.
There are only ‘.’ or ‘#’, ’Y’, ’G’ on the map of the maze. ’.’ indicates the blank which you can move on, ‘#’ indicates stones. ’Y’ indicates the your location. ‘G’ indicates the girl’s location . There is only one ‘Y’ and one ‘G’. Every seconds you can move left, right, up or down.
输入:
The first line contain an integer T. Then T cases followed. Each case begins with three integers r and c (1 <= r , c <= 100), and k(2 <=k <= 10).
The next r line is the map’s description.
The next r line is the map’s description.
输出:
The first line contain an integer T. Then T cases followed. Each case begins with three integers r and c (1 <= r , c <= 100), and k(2 <=k <= 10).
The next r line is the map’s description.
The next r line is the map’s description.
样例输入:
1 6 6 2 ...Y.. ...#.. .#.... ...#.. ...#.. ..#G#.
样例输出:
7
http://acm.hdu.edu.cn/showproblem.php?pid=2579
题目大意：给定 r * c 的迷宫，还有一个整数 k 。迷宫中“.”表示可以走，“#”表示墙，当时间为k的倍数时，这些墙会消失。求从起点“Y”到终点“G”的最短时间。（人不能呆在一点不动）。
#include<iostream> #include<stdio.h> #include<string.h> #include<stdlib.h> #include<math.h> #include<queue> #include<algorithm> #define N 105 using namespace std; char map[N][N]; int step[N][N][10];//多加一维，记录(time%k) int r,c,k,x_s,y_s,x_e,y_e; int dir[4][2]={0,1,0,-1,1,0,-1,0}; struct node { int x,y,mod; }; int BFS() { int i; queue<node>q; node now,next; now.x=x_s; now.y=y_s; now.mod=0; memset(step,-1,sizeof(step)); step[now.x][now.y][now.mod]=0; q.push(now); while(!q.empty()){ now=q.front(); q.pop(); if(now.x==x_e && now.y==y_e) return step[now.x][now.y][now.mod]; for(i=0;i<4;i++){ next.x=now.x+dir[i][0]; next.y=now.y+dir[i][1]; next.mod=(now.mod+1)%k; if(next.x<0 || next.x>=r || next.y<0 ||next.y>=c) continue; if(step[next.x][next.y][next.mod]!=-1) continue; if(map[next.x][next.y]=='#' && next.mod!=0) continue; step[next.x][next.y][next.mod]=step[now.x][now.y][now.mod]+1; q.push(next); } } return -1; } int main() { int T,i,j,ans; scanf("%d",&T); while(T--){ scanf("%d%d%d",&r,&c,&k); for(i=0;i<r;i++){ scanf("%s",map[i]); for(j=0;map[i][j];j++){ if(map[i][j]=='Y'){ x_s=i;y_s=j;map[i][j]='.'; } if(map[i][j]=='G'){ x_e=i;y_e=j;map[i][j]='.'; } } } ans=BFS(); if(ans==-1) printf("Please give me another chance!\n"); else printf("%d\n",ans); } return 0; }
解题转自：http://blog.csdn.net/crazy_xiaohe/article/details/8883608
(adsbygoogle = window.adsbygoogle || []).push({});
说的我眼泪流下来
说的我眼泪流下来
因为要修改链表头(指针)，所以要用指针的指针
DFS方法的原理还是不太清楚啊
感觉这里的评分标准没啥作用阿，反而显得显得赘余，还不如直接去掉好了。
Often We don’t set up on weblogs, but I would like to condition that this established up really forced me individually to do this! considerably outstanding publish
刚开始学习，为啥会报错了
很棒的网站，加油！⛽
都是一些基础题啊
DFS方法的原理还是不太清楚啊
这是什么鬼，怎么多头文件
已更正。
代码可真够长的！
输出规范写错了哦~
对于输出格式不用控制？？还是直接使用cout输出。？？


dataset read COLLECTION_NAME KEY
The writes the JSON document to standard out (unless you’ve specific an alternative location with the “-output” option) for the given KEY.
An example we’re assuming there is a JSON document with a KEY of “r1”. Our collection name is “data.ds”
dataset read data.ds r1
Normally dataset adds two values when it stores an object, ._Key
and possibly ._Attachments
. You can get the object without these
added attributes by using the -c
or -clean
option.
dataset read -clean data.ds r1


Weizmann Institute of Science20214022 Advanced Topics In Computer VisionAnd Deep Learning |
|||
Spring 2021 | |||
This course will cover important advances and recently published papers in Computer Vision and Deep Learning.
Classes are held on Sundays, 14:15 - 16:00
The template of this website is based on CSAIL MIT's Advanced Computer Vision course


Module: Cadenero::TestingSupport::AuthenticationHelpers
- Includes:
- Warden::Test::Helpers
- Defined in:
- lib/cadenero/testing_support/authentication_helpers.rb
Overview
RSpec Helper for subdomains
Instance Method Summary (collapse)
-
- (JSON) account_user_params_json(user)
A dummy user JSON parameters for sign in.
-
- (Object) check_error_for_not_signed_in_yet
Expect that the JSON response will be a default error message when the user has not signed in yet the errors_redirect_ro_sign_in is defined if was not previously defined is a Spec.
-
- (JSON) create_account_params_json
creates a dummy account for testing.
-
- (Object) create_user_params_json(suffix = nil)
creates a dummy user for testing.
-
- (Object) expect_auth_token(subject, auth_token)
Expect that the last_response JSON to have an auth_token and that should equal to the provided auth_token.
-
- (Object) expect_subject_ids_to_have(subject, ids_key, ids_values, http_code = 201)
Expect that the last_response JSON key subject for the ids_key to have the ids_values.
-
- (Object) expected_json_errors(msg)
Expect that the JSON response from the server corresponds to the provided msg.
-
- (Cadenero::V1::Account) find_account_by_email
find an account in the Database using the email of the owner.
-
- (Cadenero::V1::Account) find_account_by_name
find an account in the Database using the name of the owner.
-
- (JSON) json_last_response_body
Parse the last_response.body as JSON.
-
- (Cadenero::V1::Account) sign_in_user(url, user)
sing in a user sending a POST.
-
- (Cadenero::V1::Account) sign_up_account
Sign up a dummy account for testing.
-
- (Cadenero::V1::Account) sign_up_user(url, suffix = nil)
Sign up a dummy user for testing.
-
- (String) successful_sign_in_owner_with_session(account)
Expect that a owner sign in successfuly to one of his accounts creating a session.
-
- (String) successful_sign_in_user_with_session(account, user)
Expect that a user sign in successfuly to an account.
-
- (String) successful_sign_up_user_in_existing_account_with_session(account, suffix = nil)
Expect that a user sign in successfuly to an account.
Instance Method Details
- (JSON) account_user_params_json(user)
A dummy user JSON parameters for sign in
14 15 16 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 14 def account_user_params_json(user) @user = { email: user.email, password: "password" } end |
- (Object) check_error_for_not_signed_in_yet
Expect that the JSON response will be a default error message when the user has not signed in yet the errors_redirect_ro_sign_in is defined if was not previously defined is a Spec
48 49 50 51 52 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 48 def check_error_for_not_signed_in_yet errors_redirect_ro_sign_in ||= {errors: %Q{Please sign in. posting the user json credentials as: {"user": {"email"<EMAIL_ADDRESS>"password": "changeme"}} or {"user": {"auth_token": d8Ff8uvupXQfChangeMe}} to /v1/sessions}, links: "/v1/sessions"}.to_json get cadenero.v1_root_url(:subdomain => account.subdomain) expected_json_errors(errors_redirect_ro_sign_in) end |
- (JSON) create_account_params_json
creates a dummy account for testing
112 113 114 115 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 112 def create_account_params_json @visitor ||= { name: "Testy", subdomain: "test", owner_attributes: {email<EMAIL_ADDRESS>password: "changeme", password_confirmation: "changeme"} } end |
- (Object) create_user_params_json(suffix = nil)
creates a dummy user for testing
9 10 11 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 9 def create_user_params_json(suffix = nil) @user = { email<EMAIL_ADDRESS>password: "password", password_confirmation: "password" } end |
- (Object) expect_auth_token(subject, auth_token)
Expect that the last_response JSON to have an auth_token and that should equal to the provided auth_token
64 65 66 67 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 64 def expect_auth_token(subject, auth_token) expect(json_last_response_body).to have_content "auth_token" expect(json_last_response_body[subject]["auth_token"]).to eq auth_token end |
- (Object) expect_subject_ids_to_have(subject, ids_key, ids_values, http_code = 201)
Expect that the last_response JSON key subject for the ids_key to have the ids_values
74 75 76 77 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 74 def expect_subject_ids_to_have(subject, ids_key, ids_values, http_code=201) expect(last_response.status).to eq http_code expect(json_last_response_body[subject][ids_key].sort).to eq ids_values.sort end |
- (Object) expected_json_errors(msg)
Expect that the JSON response from the server corresponds to the provided msg
41 42 43 44 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 41 def expected_json_errors(msg) expect(last_response.body).to eql(msg) expect(last_response.status).to eq 422 end |
- (Cadenero::V1::Account) find_account_by_email
find an account in the Database using the email of the owner
20 21 22 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 20 def find_account_by_email @account = Cadenero::V1::Account.where(name: create_user_params_json[:email]).first end |
- (Cadenero::V1::Account) find_account_by_name
find an account in the Database using the name of the owner
26 27 28 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 26 def find_account_by_name @account = Cadenero::V1::Account.where(name: @visitor[:name]).first end |
- (JSON) json_last_response_body
Parse the last_response.body as JSON
126 127 128 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 126 def json_last_response_body JSON.parse(last_response.body) end |
- (Cadenero::V1::Account) sign_in_user(url, user)
sing in a user sending a POST
34 35 36 37 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 34 def sign_in_user(url, user) post "#{url}", format: :json, user: user find_account_by_email end |
- (Cadenero::V1::Account) sign_up_account
Sign up a dummy account for testing
119 120 121 122 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 119 def sign_up_account post "/v1/accounts", format: :json, account: create_account_params_json find_account_by_name end |
- (Cadenero::V1::Account) sign_up_user(url, suffix = nil)
Sign up a dummy user for testing
56 57 58 59 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 56 def sign_up_user(url, suffix=nil) post "#{url}/v1/users", format: :json, user: create_user_params_json(suffix) find_account_by_email end |
- (String) successful_sign_in_owner_with_session(account)
Expect that a owner sign in successfuly to one of his accounts creating a session
82 83 84 85 86 87 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 82 def successful_sign_in_owner_with_session(account) sign_in_user sessions_url, account_user_params_json(account.owner) expect_subject_ids_to_have("user", "account_ids", [account.id]) expect_auth_token("user", account.owner.auth_token) return json_last_response_body["user"]["email"] end |
- (String) successful_sign_in_user_with_session(account, user)
Expect that a user sign in successfuly to an account
92 93 94 95 96 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 92 def successful_sign_in_user_with_session(account, user) sign_in_user sessions_url, user expect_subject_ids_to_have("user", "membership_ids", [account.id]) return json_last_response_body["user"]["email"] end |
- (String) successful_sign_up_user_in_existing_account_with_session(account, suffix = nil)
Expect that a user sign in successfuly to an account
101 102 103 104 105 106 107 108 |
# File 'lib/cadenero/testing_support/authentication_helpers.rb', line 101 def successful_sign_up_user_in_existing_account_with_session(account, suffix=nil) url = "http://#{account.subdomain}.example.com/" sign_up_user url, suffix expect(last_request.url).to eq "#{url}v1/users" get "#{url}v1/users/#{json_last_response_body['user']['id']}" expect_subject_ids_to_have("user", "membership_ids", [account.id], 200) return json_last_response_body["user"]["email"] end |


Roy Keane talks up Man United striker Marcus Rashford
Roy Keane says Manchester United striker Marcus Rashford has rediscovered his confidence in recent weeks
by The Sport Review staffRoy Keane has claimed that Marcus Rashford has rediscovered his confidence after he helped to fire England to a 7-0 win over Montenegro on Thursday night.
The Manchester United striker got on the score-sheet at Wembley as he helped Gareth Southgate’s men to claim three points and secure their spot at Euro 2020.
Rashford and most of his Manchester United team-mates have struggled to find consistent form for most of the current campaign and the Red Devils are down in seventh place in the Premier League table.
However, Rashford impressed alongside his England team-mates on Thursday night and he has now scored six goals in his last seven appearances for club and country.
And former Manchester United captain Keane feels that Rashford has rediscovered his confidence in recent weeks.
Speaking to ITV Sport on Thursday night, Keane said: “He looks like he has got his confidence back, I think in the last month or so.
“And what players have to remember, when we’ve been criticising them before, there’s a compliment in there because we believe he’s a really good player.
“His confidence is up and running again and he looks back to his best.”
Rashford has scored nine goals in all competitions for Manchester United so far this season.
The young striker will be hoping to feature for the Red Devils when they return to Premier League action after the international break with a trip to Sheffield United next Sunday.
The Red Devils have so far only managed to win four of their opening 12 Premier League games under Ole Gunnar Solskjaer.


I am a Software Development Student at Moringa School.
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This is a project that i did previously,
It was about making construction services available online for registered personnels.
Click here to view it on github
#https://muthoni2000.github.io/E-Cost/


Which direction is PV heading?
Posted: Tue Jul 31, 2007 7:30 am
from what I read day in day out alot of people are quick to critisize but not state their reasons why or even what they think, and when they do it is very biased and un professional. This type of attitude will be the downfall to PV just as Xenimus, I know things will not satisfy everyone but please at least try things out with an open mind before you jump to conclusions.
Thats my thoughts
Can't Wait for the CLIENT!!!! Bring it on KARL!!
Thats my thoughts
Can't Wait for the CLIENT!!!! Bring it on KARL!!


In our field studies, we interviewed several types of people. One type was the client-type, a person who actually DJs, and the other was the listener-type, a person who enjoys DJ work and has watched DJs at work. For the clients, we had an extension to the normal set of questions that targeted their enhanced knowledge. The questions are as follows.
Here are links to the interview data we collected. The names of persons have been changed to protect their identity.
Client-Type and Listener-Type.
A video of a giant DJ touchscreen prototype. Definitely some cool ideas.


This is the left panel.
Close
Test Panel
Open My Panel!
Open Another Panel!
This is the right panel.
Close


Fleshlight Launch Control Demo
Needs Chrome 56+ on Mac/ChromeOS/Android M/Linux (If on linux, turn on Experimental Web Extensions)
Speed:
Position:
Buttons (index turns red when pressed):
Code available at http://github.com/metafetish/raunch-js (gh-pages branch)
Device info at http://metafetish.github.com/raunch-docs/


Please enter your private and public key pair
If you did not receive them via email, you can access them on the Cytomine web page.
Log into Cytomine ({{ main.cmHost + '/#account' }})
using your user name and password and retrieve the API KEYS from your account.
{{ error.message }}
Save keys and proceed


Watir 6.7.0 is now available on RubyGems! A bunch of new features.
To install:
or in your Gemfile:
HTML5.1 and SVG2 Support
There have been some bugs and inconsistencies with these features, but they have been addressed in this release.
Watir now parses the latest official W3C HTML & SVG standards to automatically generate Element classes with their officially supported attributes.
These can be used for both element location and obtaining attribute values in a properly encapsulated fashion:
Non-standard attributes for elements can still be located and returned with:
Table Features
Working with tables can be a challenge. Often it is easy enough to get the Table cell you need, but have to interact with elements in relation to it. Here are two useful ways to make this easier:
Iterating with Elements
Some elements can in some respects be considered Collections.
OList
andUList
each effectively have a collection ofLI
Table
effectively has a collection ofTableRow
TableRow
effectively has a collection ofTableCell
Now you can iterate over them as if they were a collection like:
Siblings
Element#siblings
returns an HTMLCollection
of all of the elements that are
direct children of the calling element’s parent. Note that the element
calling this method is included in the results. As with all adjacent methods,
this method accepts a hash that will filter the results by any valid Watir locator.
Original Window
We can have long debates about this, and you are free to disagree, but I am not a fan of using Ruby blocks when they are merely used to manage a simple order of code execution (as opposed to using it to reference variables not defined until the context of the calling method).
To switch to a window, take an action, and return to the original window you can currently:
With this update you can now use a second window procedurally without having to explicitly store a variable:
Stealing From the Page Object Gem
While going through Cheezy’s updated Page Object gem, I found a number of
features that deserve be included directly in Watir. If you already
use page-object.gem
, you likely won’t see anything new from this.
Checkbox
#set
,#set?
, and#clear
can now be handled with#check
,#checked?
and#uncheck
respectivelyElement#attribute_value
can now be accessed withElement#attribute
(also like Selenium)- Added support for
Element
#scroll_into_view
,#location
,#size
,#height
,#width
and#center
/#centre
Radio
#set
and#set
can now be handled with#select
and#selected?
respectively
See the Changelog for the complete history of updates.


A: We help you earn commission off of sales purchased online from your viewers through an affiliated link provided on your blog post.
Q: Does Brandreward add our Banners to your Blog ?
A: Brandreward does not participate in adding in any advertisement or Banners, we know how important it is on not destroying the content of your platform.
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Publisher FAQ
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A: Brandreward provide monetization solutions for publishers to earn real commission on the content of their post.
Q: What is an affiliate links ?
A: An affiliated link is a specific URL that has a tracking ID linked to it.Affiliate links are how Brandreward is notified and will assure
that you are given your earned commission off of the sale from partnered brands.
Q: Can I purchase items through my own affiliate links ?
A: Yes, our monetization solutions applies to you too.
Advertiser FAQ
Q: How many brands do Brandreward work with ?
A: Brandreward is partnered with over 30,000 Brands both global and local pertaining to each market.
Q: What is the commission rate received by publishers ?
A: The average commission rate accepted is 5-5.5%.


Hash ID is : {{greeting.hash}}
Time is : {{greeting.time}}
Block Index : {{greeting.block_index}}
height : {{greeting.height}}
Back to Overview


XML configuration.
Oddjob Designer provides a user interface onto an Oddjob configuration file, but it has its limitations. It's often easier and quick to work with the configuration as XML.
Each Oddjob file contains an Oddjob and may contain 0 or 1 jobs for Oddjob to run.
 The document element must always be <oddjob>.
<EMAIL_ADDRESS>examples/userguide/behindgui1.xml}A file with one job would be something like:
<EMAIL_ADDRESS>examples/userguide/behindgui2.xml}Here we are defining a property called 'job'. The element name 'echo' is used to create the type of job it is.
Note that the attribute text is used to set the 'text' property of the echo job.
Changing the root job to be sequential allows us to add more jobs.
<EMAIL_ADDRESS>examples/userguide/behindgui3.xml}We are already seeing that sometimes attributes are used to define properties of a job (like the text property of the echo job), and sometimes elements are (like job and jobs). By default, text and numbers are set using attributes and more complicated properties are set using elements. This can be changed on a job by job basis but should be documented in the reference guide when it is.
Here is a more complicated example - we see the <scheduling:timer> job (which we'll learn more about later) being configured with both elements that declare a job property and a schedule property. Note that schedules are in a different XML namespace.
<EMAIL_ADDRESS>examples/userguide/behindgui4.xml}All this XML is probably looking a bit ungainly but there is a pattern to it that makes understanding it a bit easier. Here's the pattern in the previous example:
<oddjob> <property> <type> <property> <type/> </property> <property> <type/> </property> </type> </property> </oddjob>
Elements are either property elements, which are the name of the property being set, or type elements which are the type of property - be it a job property (copy, delete) or other value property (file, schedule).
We saw in the last section that properties can be set from other job's properties when the job runs. However, we only saw how this worked in attribute properties using the ${id.property} construct. When the property is defined by an element use the 'value' element type to define a reference.
This file will have exactly the same effect as the previous example.
<EMAIL_ADDRESS>examples/userguide/behindgui5.xml}In addition to accessing the simple properties of a job using the notation ${job-id.property} Oddjob also supports setting and getting indexed properties mapped properties and nested properties.
An indexed property is when a job provides a property which is a list that contains a number of items and supports accessing those items individually using it position in the list which is the items index. Not many jobs support indexed access to properties because it is seldom required. The notable exception is the Oddjob job which itself which has the 'args' property which is a list of arguments that can be used in the configuration file.
The notation for an indexed property is ${job-id.property[index]}.
A mapped property is when a job provides a property which is a map of keys to values and a particular value can be extracted using the key. Where they are available their exact use is documented in the reference.
The notation for an indexed property is ${job-id.property(key)}.
A nested property is where the job provides a property that itself has properties. These are rare but the format should be noted.
The notation for a mapped property is ${job-id.property.sub-property}.
The jobs and properties of a nested Oddjob are available using the path like notation ${nested-oddjob-id/job-id.property}
Here is an Oddjob configuration that contains an Oddjob job. The nested Oddjob runs the configuration nested.xml
<EMAIL_ADDRESS>examples/userguide/behindgui6.xml}If nested.xml contains
<EMAIL_ADDRESS>examples/userguide/nested.xml}Running the outer Oddjob would result in the message being displayed twice.
One interesting point is that the nested Oddjob has two sides. On the outside it is is fred and on the inside it is jane. On the outside ${fred/jane.name} is exactly the same as ${fred.name} which is Fred. On the inside it is only accessible as jane, it has no knowledge of being fred, although ${jane.name} is still 'Fred'
There is theoretically no limit to the number of nested Oddjobs and the property access notation just expands in the style ${a/b/c.property} as might be expected.
The nested oddjob configuration was defined using ${this.dir}/nested.xml - Oddjob exposes the directory of it's configuration file using a read-only property called 'dir', and the parent Oddjob has been given the id 'this' so our configuration file expression expands to 'The file nested.xml in the same directory as the configuration file of our parent Oddjob'.


Utopia::Content::Links::Resolver
Represents a list of class Utopia::Content::Link
instances relating to the structure of the content. They are formed from the links.yaml
file and the actual directory structure on disk.
Definitions
def load_directory(name, metadata, &block)
Implementation
def load_directory(name, metadata, &block)
defaults = metadata.delete(name) || {}
links = @links.links(@top + name).indices
links.each do |link|
# We extract the metadata according to the localized link:
if info = metadata.delete("#{name}.#{link.locale}")
info = info.merge(link.info)
else
info = link.info
end
yield Link.new(:directory, name, link.locale, link.path, defaults.merge(info))
end
end
def load_default_index(name = INDEX, info = {})
The default index for a directory which has no contents.
Implementation
def load_default_index(name = INDEX, info = {})
path = @top + name
if info
info = DEFAULT_INDEX_INFO.merge(info)
else
info = DEFAULT_INDEX_INFO
end
# Specify a nil uri if no index could be found for the directory:
yield Link.new(:index, name, nil, @top.to_directory, info, path[-2])
end


public class Instrumentation
extends java.lang.Object
This class provides the following functionality
NetworkRequestEvent
ErrorEvent
CustomEvent
| Modifier and Type | Class and Description |
|---|---|
static class |
Instrumentation.Severity |
static class |
Instrumentation.State |
| Modifier and Type | Field and Description |
|---|---|
static org.slf4j.Logger |
LOGGER |
| Constructor and Description |
|---|
Instrumentation() |
| Modifier and Type | Method and Description |
|---|---|
static void |
addErrorEvent(java.lang.Throwable throwable,
Instrumentation.Severity level) |
static void |
addEvent(Event event) |
static HttpRequestTracker |
beginHttpRequest(java.net.URL url) |
static boolean |
isAppKeyEnabledOnCloud()
This call syncs the instrumentation runtime with the cloud for the appkey being used and returns true if
the AppKey is enabled and the backend is ready to accept event data.
|
static boolean |
isDisabled()
If the controller sends a responseCode of 402, 403 or 429 to the app when it calls
sendAllEvents() , the
instrumentation runtime is put in a disabled state and the following calls become no-ops. |
static void |
sendAllEvents()
This method sends all collected beacons to the AppDynamics Collector
It flushes the in memory buffer after that
If a CollectorChannel is set, the Beacons are sent over that
If not, the default transport bundled with the SDK is used.
|
static void |
start(AgentConfiguration configuration,
DeviceInfo deviceInfo,
VersionInfo versionInfo) |
public static void start(AgentConfiguration configuration, DeviceInfo deviceInfo, VersionInfo versionInfo)
configuration
- Configuration of the AgentdeviceInfo
- information about the deviceversionInfo
- version info about theAgentConfiguration
,
DeviceInfo
,
VersionInfo
public static boolean isDisabled()
sendAllEvents()
, the
instrumentation runtime is put in a disabled state and the following calls become no-ops.
addEvent(Event)
,
addErrorEvent(Throwable, Severity)
,
beginHttpRequest(URL)
,
sendAllEvents()
The current state of the APPKEY on the controller can be checked by calling
isAppKeyEnabledOnCloud()
public static HttpRequestTracker beginHttpRequest(java.net.URL url)
url
- The URL of the Http Network Request being trackedpublic static void addErrorEvent(java.lang.Throwable throwable, Instrumentation.Severity level)
throwable
- Report a throwable. If null, this method does nothing.level
- Level of the Error
Instrumentation.Severity.ALERT
An error that didn't cause any issuesInstrumentation.Severity.CRITICAL
An error that caused issuesInstrumentation.Severity.FATAL
An error that killed the apppublic static void addEvent(Event event)
event
- a user defined eventEvent
public static void sendAllEvents()
isAppKeyEnabledOnCloud()
CollectorChannelFactory
,
isDisabled()
public static boolean isAppKeyEnabledOnCloud()
Instrumentation.State
,
isDisabled()


First register the dynamic form module in the root AppModule. Here you provide a registry of components the form will render for each form element type. Optionally, you can provide custom error messages for each error type.
NOTE: For convenience, a Material Design component registry is provided in libs/common/dynamic-form-material-components. Go ahead and make your own (and let me know how it goes).
{{ moduleRegistry }}
Each instance of the dynamic form is unique application wide identified by the formName property.
Create a new form instance and define and set the structure to render the form.
{{ setStructureMarkup }}
In you markup include the dynamic form component and set the formName property.
{{ markup }}
The output of submitting the form is provided via an observable from the DynamicFormsFacade.
{{ submitSyntax }}
For a complete guide on how to make your own form components, provide custom error messages and styling, please see the dynamic form library


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we would inspire concerned parties for regulations, professionalism and would observe that client’s shipments are handled in safety and care.
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While there are importation and exportation of Live animals at Kigali international airport, Amka Chain logistics is here to assist clients according The IATA Live Animals Regulations (LAR), the global standard and the essential guide to transporting animals by air in a safe, humane and cost- effective manner.


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1 IN THE HIGH COURT OF JHARKHAND AT RANCHI W.P (PIL) No. 3039 OF 2014 WITH I.A No. 604/2015 ----
Khagen Mahto Son of Sri Raj Kishore Mahto, resident of Village Rugri, PO Chowka PS Chowka Dist- Saraikela-Kharsawan ... Petitioner Versus
1.The State of Jharkhand
2.Secretary, Department of Forest & Environment, Government of Jharkhand, Nepal House, PO Doranda, P.S Doranda, District Ranchi
3.Divisional Forest Officer, Saraikela-Kharsawan PO & PS Saraikela District - Saraikela-Kharsawan
4.Jharkhand State Pollution Control Board having its office at H.E.C Dhurw PO & PS Dhurwa District Ranchi through its Secretary
5.M/s. Narsingh Ispat Limited through its Managing Director, having its office at Village Khunti Kandra Road, PO Chandil PS Chowka District - Saraikela- Kharsawan .... Respondents
----
CORAM: HON'BLE MR.JUSTICE VIRENDER SINGH, CHIEF JUSTICE HON'BLE MR.JUSTICE P.P.BHATT
----
For the Appellant/Petitioner : Mr. Amit Kumar Das, Advocate For the Respondent-State : Mr. V. Kumar, JC to Mr.Ajit Kumar, AAG For the Respondent-JSPCB : Mr. A.K. Pandey, Advocate For the Respondent No.5 : Mr. Indrajit Sinha, Advocate
------
08/ Dated:5th May, 2015 Per Virender Singh, CJ The grievance projected herein is that the Jharkhand State Pollution Control Board (for short "Pollution Control Board") has issued "No Objection Certificate" to respondent no.5 to establish industry over the land adjoining forest land, contrary to their own guidelines, therefore, it requires to be quashed. Further direction sought for is for removing of the industry from the present site.
2. Counter affidavit filed by one Suresh Prasad, Range Officer, Saraikela, indicates that respondent No.5 has committed offence under section 2 30(a) & (c) and section 63 of the Indian Forest Act, 1927 (for short "Forest Act") as well as section 2 & 3 of the Forest (Conservation) Act, 1980 (for short "Conservation Act") as respondent No.5 has encroached certain protected forest land situated in Mouza Musri Bera Chandil Thana No.176 recorded as Jangal Jhari in the Government Khatiyan. Similarly, respondent No.5, which has also encroached upon some forest land of Kurli Protected Forest and erected 34 electric poles with electric wire by damaging forest crops. Three criminal cases have already been registered against respondent No.5 for violation of Forest Act and Conservation Act.
3. On the last date of hearing it was brought to our notice by learned counsel for the petitioner that after grant of "No Objection Certificate" in favour of respondent No.5, even "Consent To Operate" (for short "CTO") has also been granted to it by the Pollution Control Board.
4. Mr. Pandey, appearing for Pollution Control Board, states that CTO granted in favour of respondent No.5 has since been kept in abeyance by the Pollution Control Board after Forest Department has registered criminal cases against it and that a show cause notice has also been issued to respondent No.5 under section 21(4) of the Air (Prevention and Control of Pollution) Act, 1981. He states that if need be, even the "No Objection Certificate" already granted in favour of respondent No.5 will also be withdrawn in due course for which a complete procedure provided under the Act is required to be followed.
5. In the aforesaid factual backdrop, when operation of the Unit has already been stalled by keeping CTO in abeyance by Pollution Control Board and that three criminal cases also being registered against respondent No.5 by Forest Department, in our considered view, the grievance as projected in the instant petition by the petitioner stands redressed to. Therefore, continuing with the instant Public Interest Litigation would serve no purpose. It goes without 3 saying that necessary steps shall also be taken for and against respondent No.5 in accordance with law by Pollution Control Board and the Forest Department in due course but unreasonable delay, in any case, will not be appreciated.
Disposed of accordingly.
I.A No. 604/2015 also stands disposed of.
(Virender Singh, C.J.) (P.P.Bhatt, J.) dey/Birendra/LAK


Class ModelCheckpoint
Save the model after every epoch. filepath can contain named formatting options, which will be filled with the values of epoch and keys in logs(passed in on_epoch_end). For example: if filepath is weights.{epoch:02d}-{val_loss:.2f}.hdf5, then the model checkpoints will be saved with the epoch number and the validation loss in the filename.
Implements
Inherited Members
Namespace: Keras.Callbacks
Assembly: Keras.dll
Syntax
public class ModelCheckpoint : Callback, IDisposable
Constructors
| Improve this Doc View SourceModelCheckpoint(String, String, Int32, Boolean, Boolean, String, Int32)
Initializes a new instance of the ModelCheckpoint class.
Declaration
public ModelCheckpoint(string filepath, string monitor = "val_loss", int verbose = 0, bool save_best_only = true, bool save_weights_only = false, string mode = "auto", int period = 1)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | filepath | string, path to save the model file. |
| System.String | monitor | quantity to monitor. |
| System.Int32 | verbose | verbosity mode, 0 or 1. |
| System.Boolean | save_best_only | if save_best_only=True, the latest best model according to the quantity monitored will not be overwritten. |
| System.Boolean | save_weights_only | if True, then only the model's weights will be saved (model.save_weights(filepath)), else the full model is saved (model.save(filepath)). |
| System.String | mode | one of {auto, min, max}. If save_best_only=True, the decision to overwrite the current save file is made based on either the maximization or the minimization of the monitored quantity. For val_acc, this should be max, for val_loss this should be min, etc. In auto mode, the direction is automatically inferred from the name of the monitored quantity. |
| System.Int32 | period | Interval (number of epochs) between checkpoints. |


Two violent inmates escape federal psychiatric centre in Saskatoon: police
by The Canadian Press, StaffSASKATOON -- Police say two inmates considered to be violent have escaped from the federal Regional Psychiatric Centre in Saskatoon.
Investigators are warning people to call police if they see anything suspicious and to lock their homes and vehicles.
The men police are looking for include Kendal Campeau, who is 29, and 24-year-old Matthew Michel.
In 2010, Campeau pleaded guilty to charges for storming a guard station at the Saskatoon Correctional Centre with other inmates armed with homemade knives, taking three correctional workers hostage.
The guards were not hurt.
The Correctional Service of Canada says the Regional Psychiatric Centre is a mental hospital with the security provisions to also function as a federal correctional institution.


Notebooks
Story: |uma and Da: the names of their parents
|uma and Da: the names of their parents
Title
|uma and Da: the names of their parents
Collection
Summary
The names of |uma's and Da's parents. |uma's father's name is ||e-|kue and his mother's name is ||kabbe-!!ne-a (?). Da's father's name is |xoa-ku and his mother's is ||xauti.
Comments
1) This story is found in Book XI & XII-6
Contributors
Date
April 1880
Categories
Keywords
names (of |uma's and Da's parents) , |uma (the names of his parents) , |uma (his personal history) , Da (the names of his parents) , Da (his personal history) , personal history (of |uma and Da) , personal history (the names of |uma and Da's parents) , parents (names of |uma's and Da's)
Story Pages
9416


What is BituMind?
BitumEn is an app created to teach people meditation techniques, that may help them go through hard situations.
How to get app
You can download the app with an .apk or a .aia.Click on one of these buttons to download it:
BitumEn is an app created to teach people meditation techniques, that may help them go through hard situations.
You can download the app with an .apk or a .aia.Click on one of these buttons to download it:


Provides commonly used extensions.
Formats the command to by written.
public String FormatForLogging(command)
A textual representation of a command.
| Name | Type | Summary |
|---|---|---|
| command | IDbCommand | Command to be written. |
Gets the first IDataProperty within the collection that matches the automaticType property. If no property matches the automatic type or automaticType is Nonenull is returned.
public IDataProperty GetAutomaticDataProperty(properties, automaticType)
An IDataProperty of null if none matches.
| Name | Type | Summary |
|---|---|---|
| properties | ICollection<IDataProperty> | A collection of properties. |
| automaticType | AutomaticType | Automatic type to find. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when properties is null. |
Gets the first Field within the collection that matches the automaticType property. If no fields matches the automatic type or automaticType is Nonenull is returned.
public Field GetAutomaticField(fields, automaticType)
A Field of null if none matches.
| Name | Type | Summary |
|---|---|---|
| fields | ICollection<Field> | A collection of fields. |
| automaticType | AutomaticType | Automatic type to find. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when fields is null. |
Gets the first Field within the collection that matches the name. If no fields matches the specified namenull is returned.
public Field GetField(fields, name)
A Field of null if none matches.
| Name | Type | Summary |
|---|---|---|
| fields | ICollection<Field> | A collection of fields. |
| name | String | Name of the field to match (case sensitive). |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when fields is null. |
Gets the name of the partition key data property or null if model does not has a partition key property.
public String GetPartitionKeyPropertyName(model)
The name of the partition key property or null.
| Name | Type | Summary |
|---|---|---|
| model | IDataModel | An IDataModel. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when model is null. |
Finds if the fields collection has primary key fields.
public Boolean HasPrimaryKeys(fields)
true if the collection has primary key fields.
| Name | Type | Summary |
|---|---|---|
| fields | ICollection<Field> | A collection of fields. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when fields is null. |
Checks whether the property is an IDataProperty.
public Boolean IsDataProperty(property)
true if property is an IDataProperty, otherwise false.
| Name | Type | Summary |
|---|---|---|
| property | PropertyInfo | A PropertyInfo for the property to check. |
| Type | Summary |
|---|---|
| ArgumentNullException | Thrown when property is null. |


|
SphinxBase
5prealpha
|
Miscellaneous useful string functions. More...
Go to the source code of this file.
Enumerations | |
| enum | string_edge_e { STRING_START, STRING_END, STRING_BOTH } |
| Which end of a string to operate on for string_trim(). More... | |
Functions | |
| SPHINXBASE_EXPORT char * | string_join (const char *base,...) |
| Concatenate a NULL-terminated argument list of strings, returning a newly allocated string. | |
| SPHINXBASE_EXPORT char * | string_trim (char *string, enum string_edge_e which) |
| Remove whitespace from a string, modifying it in-place. More... | |
| SPHINXBASE_EXPORT double | atof_c (char const *str) |
| Locale independent version of atof(). More... | |
| SPHINXBASE_EXPORT int32 | str2words (char *line, char **wptr, int32 n_wptr) |
| Convert a line to an array of "words", based on whitespace separators. More... | |
| SPHINXBASE_EXPORT int32 | nextword (char *line, const char *delim, char **word, char *delimfound) |
| Yet another attempt at a clean "next-word-in-string" function. More... | |
Miscellaneous useful string functions.
Definition in file strfuncs.h.
| enum string_edge_e |
Which end of a string to operate on for string_trim().
| Enumerator | |
|---|---|
| STRING_START |
Beginning of string. |
| STRING_END |
End of string. |
| STRING_BOTH |
Both ends of string. |
Definition at line 70 of file strfuncs.h.
| SPHINXBASE_EXPORT double atof_c | ( | char const * | str | ) |
Locale independent version of atof().
This function behaves like atof() in the "C" locale. Switching locale in a threaded program is extremely uncool, therefore we need this since we pass floats as strings in 1000 different places.
Definition at line 55 of file strfuncs.c.
Referenced by logmath_read().
| SPHINXBASE_EXPORT int32 nextword | ( | char * | line, |
| const char * | delim, | ||
| char ** | word, | ||
| char * | delimfound | ||
| ) |
Yet another attempt at a clean "next-word-in-string" function.
See arguments below.
while ((n = nextword(line, delim, &word, &delimfound)) >= 0) { ... do something with word .. word[n] = delimfound; line = word + n; }
| line | Input: String being searched for next word. Will be modified by this function (NUL characters inserted) |
| delim | Input: A word, if found, must be delimited at either end by a character from this string (or at the end by the NULL char) |
| word | Output: *word = ptr within line to beginning of first word, if found. Delimiter at the end of word replaced with the NULL char. |
| delimfound | Output: *delimfound = original delimiter found at the end of the word. (This way, the caller can restore the delimiter, preserving the original string.) |
Definition at line 166 of file strfuncs.c.
| SPHINXBASE_EXPORT int32 str2words | ( | char * | line, |
| char ** | wptr, | ||
| int32 | n_wptr | ||
| ) |
Convert a line to an array of "words", based on whitespace separators.
A word is a string with no whitespace chars in it. Note that the string line is modified as a result: NULL chars are placed after every word in the line. Return value: No. of words found; -1 if no. of words in line exceeds n_wptr.
| line | In/Out: line to be parsed. This string will be modified! (NUL characters inserted at word boundaries) |
| wptr | In/Out: Array of pointers to words found in line. The array must be allocated by the caller. It may be NULL in which case the number of words will be counted. This allows you to allcate it to the proper size, e.g.: |
n = str2words(line, NULL, 0); wptr = ckd_calloc(n, sizeof(*wptr)); str2words(line, wptr, n);
| n_wptr | In: Size of wptr array, ignored if wptr == NULL |
Definition at line 123 of file strfuncs.c.
| SPHINXBASE_EXPORT char* string_trim | ( | char * | string, |
| enum string_edge_e | which | ||
| ) |
Remove whitespace from a string, modifying it in-place.
| string | string to trim, contents will be modified. |
| which | one of STRING_START, STRING_END, or STRING_BOTH. |
Definition at line 97 of file strfuncs.c.
References STRING_BOTH, STRING_END, and STRING_START.
Referenced by lineiter_next(), and lineiter_start_clean().


Triniti Acme Schemas
../
gallery-created/
gallery-deleted/
gallery-expired/
gallery-image-count-updated/
gallery-marked-as-draft/
gallery-marked-as-pending/
gallery-published/
gallery-renamed/
gallery-scheduled/
gallery-unpublished/
gallery-updated/
promotion-created/
promotion-deleted/
promotion-expired/
promotion-marked-as-draft/
promotion-marked-as-pending/
promotion-published/
promotion-scheduled/
promotion-unpublished/
promotion-updated/
teaser-created/
teaser-deleted/
teaser-expired/
teaser-marked-as-draft/
teaser-marked-as-pending/
teaser-published/
teaser-scheduled/
teaser-slotting-removed/
teaser-unpublished/
teaser-updated/
timeline-created/
timeline-deleted/
timeline-expired/
timeline-marked-as-draft/
timeline-marked-as-pending/
timeline-published/
timeline-renamed/
timeline-scheduled/
timeline-unpublished/
timeline-updated/
widget-created/
widget-deleted/
widget-updated/


Guide for GEOPM Documentation
These are the style guidelines for writing or modifying rst source files for GEOPM. See Creating Manuals section of the Guide for GEOPM Developers for information on how to add the new files to the build properly.
Some of these rules (section ordering and the
property list in low-level signals/controls) can be tested with the geopmlint
Sphinx builder. Run make
docs_geopmlint
to run those checks. Edit
service/docs/source/_ext/geopmlint.py
if you need to modify those checks.
Whitespace
Minimize the amount of whitespace (carriage returns, spaces, and indentation) present in the source file. Only use the necessary amount of whitespace to satisfy the rst compiler for what you are trying to do.
Sections
Follow the Sphinx Documentation for Sections, namely:
=
for page titles
-
for sections within a page
^
for subsections
"
for sub-subsections
Section Ordering
For chapter 7 man pages of IOGroups, follow the following ordering:
Description
Requirements
Signals
Controls
Aliases
Signal Aliases
Control Aliases
See Also
Signals/Controls (low level)
Use the following code as an example:
``PROFILE::TIME_HINT_UNKNOWN``
The total amount of time that a CPU was measured to be running with this
hint value on the Linux logical CPU specified.
* **Aggregation**: average
* **Domain**: cpu
* **Format**: double
* **Unit**: seconds
That block will render as follows:
PROFILE::TIME_HINT_UNKNOWN
The total amount of time that a CPU was measured to be running with this hint value on the Linux logical CPU specified.
Aggregation: average
Domain: cpu
Format: double
Unit: seconds
MSR Signals and controls
Document MSRs in their respective msr_data_*.json
files. Use the
geopm-msr-json
directive to insert the formatted documentation from a json
definition into a rst
file. For example:
.. geopm-msr-json:: ../../src/msr_data_arch.json
.. geopm-msr-json:: ../../src/msr_data_arch.json
:no-controls:
.. geopm-msr-json:: ../../src/msr_data_arch.json
:no-signals:
If you need to modify the output format of the geopm-msr-json
directive,
edit the GeopmMsrJson
class in the
service/docs/source/_ext/geopm_rst_extensions.py
Sphinx extension.
Aliases
The IOGroup specific chapter 7 pages should document how the high level alias relates to the signals or controls provided by said IOGroup. Use the following code as an example for 1-to-1 mappings:
``CPU_FREQUENCY_MAX_AVAIL``
Maps to ``MSR::TURBO_RATIO_LIMIT:MAX_RATIO_LIMIT_0``
That block will render as follows:
CPU_FREQUENCY_MAX_AVAIL
Maps to
MSR::TURBO_RATIO_LIMIT:MAX_RATIO_LIMIT_0
If the alias does not directly map, then a further explanation of how the alias is implemented is provided in the IOGroup specific page.
The geopm_pio(7) page should document the high level alias in detail with full sentences. Use the following code as an example:
``CPU_FREQUENCY_MAX_AVAIL``
Maximum processor frequency.
That block will render as follows:
CPU_FREQUENCY_MAX_AVAIL
Maximum processor frequency.
Examples
See the following pages for examples of the style to follow:


GIT
Your name
Your email
Your password
A test table with merged cells
Average
Red eyes
height
weight
Males
1.9
0.003
40%
Females
1.7
0.002
43%


Rerun
0
Ops/sec
Native (run without mouse active)
One
Two
Three
Four
Five
Six
Dom411 direct bound
One
Two
Three
Four
Five
Six
DOM411 Delegated
One
Two
Three
Four
Five
Six


Title: C Programming Language (2nd Edition)
Authors: Brian W. Kernighan & Dennis M. Ritchie
Publisher: Prentice Hall
ISBN:<PHONE_NUMBER>


|
AceSegment
0.13.0
A library for rendering seven segment LED displays using the TM1637, TM1638, MAX7219, HT16K33, or 74HC595 controller chips
|
An implementation of LedModule using the TM1637 chip. More...
#include <Tm1637Module.h>
Public Member Functions | |
| Tm1637Module (const T_TMII &tmiInterface, const uint8_t *remapArray=nullptr) | |
| Constructor. More... | |
| void | begin () |
| Initialize the module. More... | |
| void | end () |
| Signal end of usage. More... | |
| void | setDisplayOn (bool on=true) |
| Turn off the entire display. More... | |
| bool | isFlushRequired () const |
| Return true if flushing required. | |
| void | flush () |
| Send segment patterns of all digits plus the brightness to the display. More... | |
| void | flushIncremental () |
| Update only a single digit or the brightness. More... | |
| uint8_t | readButtons () const |
Read the 1 byte with key scan with the bits coming out in LSBFIRST order with the following bits: S0 S1 S2 K1 K2 X X X . More... | |
| Public Member Functions inherited from ace_segment::LedModule | |
| LedModule (uint8_t *patterns, uint8_t numDigits) | |
| Constructor. More... | |
| uint8_t | getNumDigits () const |
| Return the number of digits supported by this display instance. More... | |
| uint8_t | size () const |
| Return the number of digits supported by this display instance. | |
| void | setPatternAt (uint8_t pos, uint8_t pattern) |
| Set the led digit pattern at position pos. | |
| uint8_t | getPatternAt (uint8_t pos) const |
| Get the led digit pattern at position pos. | |
| void | setBrightness (uint8_t brightness) |
| Set global brightness of all digits. More... | |
| uint8_t | getBrightness () const |
| Get the current brightness. | |
| void | setDecimalPointAt (uint8_t pos, bool state=true) |
| Set decimal point. | |
Friends | |
| class | ::Tm1637ModuleTest_flushIncremental |
| class | ::Tm1637ModuleTest_flush |
Additional Inherited Members | |
| Protected Member Functions inherited from ace_segment::LedModule | |
| void | begin () |
| Subclasses should call this from its own begin(). | |
| void | end () |
| Subclasses should call this from its own end(). More... | |
| void | setDigitDirty (uint8_t pos) |
Set the dirty bit of digit pos . | |
| void | clearDigitDirty (uint8_t pos) |
Clear the dirty bit of digit pos . | |
| bool | isDigitDirty (uint8_t pos) const |
Check the dirty bit of digit pos . | |
| void | clearDigitsDirty () |
| Clear dirty bits of all digits. | |
| bool | isAnyDigitDirty () const |
| Return true if any digits are dirty. | |
| bool | isBrightnessDirty () const |
| Check if the brightness level is dirty. | |
| void | setBrightnessDirty () |
| Mark the brightness as dirty. | |
| void | clearBrightnessDirty () |
| Clear the dirty bit for brightness. | |
An implementation of LedModule using the TM1637 chip.
The chip communicates using a protocol that is electrically similar to I2C, but does not use an address byte at the beginning of the protocol.
| T_TMII | class that implements the two wire protocol interface for TM1637, usually one of the classes from the AceTMI library: SimpleTmi1637Interface or SimpleTmi1637FastInterface. |
| T_DIGITS | number of digits in the LED module (usually 4 or 6) |
Definition at line 75 of file Tm1637Module.h.
|
inlineexplicit |
Constructor.
| tmiInterface | instance of TM1637 interface class |
| remapArray | (optional, nullable) a mapping of the logical digit positions to their physical positions, useful for 6-digt LED modules whose digits are wired out of order |
Definition at line 85 of file Tm1637Module.h.
|
inline |
Initialize the module.
The SimpleTmi1637Interface or SimpleTmi1637FastInterface object must be initialized separately.
Definition at line 102 of file Tm1637Module.h.
|
inline |
|
inline |
Send segment patterns of all digits plus the brightness to the display.
Takes about 22 ms using a 100 microsecond delay.
The isFlushRequired() method can be used to optimize the number of calls to flush(), but often it is not necessary.
Definition at line 144 of file Tm1637Module.h.
|
inline |
Update only a single digit or the brightness.
This method must be called (T_DIGITS + 1) times to update the digits of entire module, including the brightness which is updated using a separate step. Uses the mFlushStage and the mIsDirty bit array to update only the part that needs updating.
This method should be used if the processor cannot be blocked for the entire duration of the flush() method (e.g. on the ESP8266, which will cause a WDT reset when it is blocked for more than 20-40 ms).
Using 100 micro delay, I see the following durations:
1) If brightness is updated on every iteration, I get 'min/avg/max:4/494/13780', so a maximum of 14 ms, which is still a little bit high.
2) If brightness is updated during its own mFlushStage (== T_DIGITS), then I see min/avg/max:4/492/10152
, saving about 3.5ms from the latency. The side effect is a slightly flicker when the display and brightness changes at the same time, because this incrementally updating function makes those changes in 2 steps.
The incremental flushing must use fixed addressing mode to write specific digits, which adds extra commands to the wire protocol to the LED module. If this algorithm is used to send all the digits in one-shot, then this method is about 50% slower (30 ms), compared to flush() (22 ms).
Technical note: The TM1637 datasheet seems to suggest that the brightness must always be sent after a set of digits are sent. However, experimentation shows that the brightness can be sent as an independent transimission, so this method splits out each digit and the brightness as separate iterations.
Definition at line 211 of file Tm1637Module.h.
|
inline |
Read the 1 byte with key scan with the bits coming out in LSBFIRST order with the following bits: S0 S1 S2 K1 K2 X X X
.
The S0,S1,S2 bits are the binary encoding of one of the SG1 to SG8 segment lines using a 0-index, so SG1 is 0 and SG8 is 7. The K1 and K2 bits are not encoded and correspond directly to the K1 and K2 control lines.
The Sn and Kn lines seem to be pulled up high, so when no buttons are pressed, the data value from the TM1637 controller is 0xFF. When a button is pressed, the corresponding Kn and Sn lines go to 0. For example, if the button on SG2 and K1 is pressed, the SG2 generates a bit pattern of 0b??101
and the K1 line corresponds to bit pattern 0b10???
, so when these are combined, the final button data is 0b11110101
or 0xF5.
Definition at line 265 of file Tm1637Module.h.
|
inline |
Turn off the entire display.
The brightness is not affected so when it is turned back on, the previous brightness will be used.
Definition at line 123 of file Tm1637Module.h.


Tag Selection
Create New Tag Selection
Search Selections
Browse Selections
| Selection Name | Tags | |||||
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| < prev | next 10 > view 5 10 25 50 100 per page | ||||||
|
delete |
Manage Certificates
Create New Certificate Request
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Browse Certificate Requests
| Subject (host uuid) | Selection | Status | |
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| < prev | next 10 > view 5 10 25 50 100 per page | |||
| delete |
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| Subject (Host ID) | Issuer | Not Before | Not After | Status | Fingerprint (SHA-1) | Fingerprint (SHA256) | Certificate |
|---|---|---|---|---|---|---|---|
| < prev | next 10 > view 5 10 25 50 100 per page | |||||||
|
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Tag Policy Management
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Scrolling Test
Preliminary Information Form
Your Name
Andrew ID
Participant Type
Select...
Yourself
Someone Like You
Someone Unlike You
Extra
Input Method
Select...
Mouse
Laptop Trackpad
Keyboard
Touch-Enabled Device
Other
Scroll Method
Select...
Scrollbar - Arrow Buttons
Scrollbar - Drag Thumb
Mouse Wheel - With Notches
Mouse Wheel - No Notches
Touchpad - Two Fingers
Keyboard - Arrow Keys
Keyboard - Page Up/Down Keys
Touch - Drag Scrolling
Touch - Flick Scrolling
Other
Scroll Method
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Warning
bokeh.charts interface is still new, and is very likely to change in upcoming releases. Although we always try to be consistent, we cannot guarantee backwards compatibility for now. Please take this into consideration when using it.
bokeh.charts provides a very high level API to create rich charts commonly used without having to access lower level components.
The current bokeh.charts interface implementation supports the following chart types:
To use them, you only have to import the chart factory of interest from bokeh.charts:
from bokeh.charts import Histogram
initialize your plot with the chart specific arguments to customize the chart:
mu, sigma = 0, 0.5
normal = np.random.normal(mu, sigma, 1000)
normal_dist = OrderedDict(normal=normal)
hist = Histogram(normal_dist, bins=50, mu=mu, sigma=sigma,
title="kwargs, dict_input", ylabel="frequency", legend="top_left",
width=400, height=350, notebook=True)
and finally call the show() method:
hist.show()
or use the plotting interface functions:
from bokeh.plotting import output_file, show
output_file('histogram.html')
show(hist)
Charts support a long list of arguments that you can pass when instantiating a class, as we have shown before. Available optional arguments are:
bokeh.charts support any of the following:
In general inputs are supposed to be iterables representing each single data series values (i.e: list of lists, dict/ordered dict of lists, etc.. containing iterable of scalar values). The idea behind this canonical format is to easily represent groups of data and easily plot them through the interface.
Note
Scatter chart also supports pandas groupby objects as input. As we have mentioned bokeh.charts is still very experimental so the number of supported inputs is very likely to grow.
Here are a few examples showing charts using different kind of inputs:
Using a pandas groupby object (only supported by Scatter):
from bokeh.sampledata.iris import flowers
from bokeh.charts import Scatter
df = flowers[["petal_length", "petal_width", "species"]]
g = df.groupby("species")
scatter = Scatter(g, filename="iris_scatter.html", title="iris dataset GroupBy")
scatter.show()
Using OrderedDict (or dict-like objects):
from collections import OrderedDict
xyvalues = OrderedDict()
for i in ['setosa', 'versicolor', 'virginica']:
x = getattr(g.get_group(i), 'petal_length')
y = getattr(g.get_group(i), 'petal_width')
xyvalues[i] = list(zip(x, y))
scatter = Scatter(xyvalues, filename="iris_scatter.html", title="iris dataset, OrderedDic")
scatter.show()
Using a hierarchical pandas dataframe:
import pandas as pd
dfvalues = pd.DataFrame(xyvalues)
scatter = Scatter(dfvalues, filename="iris_scatter.html", title="iris dataset, DataFrame")
scatter.show()
Using a list:
lxyvalues = xyvalues.values()
scatter = Scatter(lxyvalues, filename="iris_scatter.html", title="iris dataset, List")
scatter.show()
Using a numpy array:
import numpy as np
nxyvalues = np.array(xyvalues.values())
scatter = Scatter(nxyvalues, filename="iris_scatter.html", title="iris dataset, Array")
scatter.show()
All the previous examples render the chart in Scatter with the difference that numpy array and list inputs will render different legends from mappings like dict, OrderedDict, pandas DataFrame or GroupBy objects (if legend is True).
For some chart types we support specific arguments which only make sense in that specific chart context. For instance, if you use a Timeseries chart, the x-value (index) for each group has to be datetime values. Or, if you want to use the Categorical HeatMap, columns names and the specified index have to be string type values.
Going ahead with a few more examples: as you have seen before, in the Histogram chart you need to setup the bins and, additionally, you can pass a mu and sigma to get the pdf and the cdf line plots of theoretical normal distributions for these parameters.
In the Bar charts case, if you pass several groups, they will be shown grouped by default:
But if you specify the argument stacked as True, it will be shown as stacked bars as follows:
So, besides the shared arguments specified in Generic arguments and the general Interface inputs we have listed in the previous paragraph, each class support the following custom arguments:
Example:
from collections import OrderedDict
from bokeh.charts import Area, show, output_file
# create some example data
xyvalues = OrderedDict(
python=[2, 3, 7, 5, 26, 221, 44, 233, 254, 265, 266, 267, 120, 111],
pypy=[12, 33, 47, 15, 126, 121, 144, 233, 254, 225, 226, 267, 110, 130],
jython=[22, 43, 10, 25, 26, 101, 114, 203, 194, 215, 201, 227, 139, 160],
)
output_file(filename="area.html")
area = Area(
xyvalues, title="Area Chart",
xlabel='time', ylabel='memory',
stacked=True, legend="top_left"
).legend("top_left")
show(area)
In the case where no continuous_range object is passed, it is calculated based on the data provided in values, according to the following rules:
Example:
from collections import OrderedDict
import pandas as pd
from bokeh.charts import Bar, output_file, show
from bokeh.sampledata.olympics2014 import data
df = pd.io.json.json_normalize(data['data'])
# filter by countries with at least one medal and sort
df = df[df['medals.total'] > 0]
df = df.sort("medals.total", ascending=False)
# get the countries and we group the data by medal type
countries = df.abbr.values.tolist()
gold = df['medals.gold'].astype(float).values
silver = df['medals.silver'].astype(float).values
bronze = df['medals.bronze'].astype(float).values
# build a dict containing the grouped data
medals = OrderedDict(bronze=bronze, silver=silver, gold=gold)
# any of the following commented are also alid Bar inputs
#medals = pd.DataFrame(medals)
#medals = list(medals.values())
output_file("stacked_bar.html")
bar = Bar(medals, countries, title="Stacked bars", stacked=True)
show(bar)
Example:
from collections import OrderedDict
import pandas as pd
from bokeh.charts import BoxPlot, output_file, show
from bokeh.sampledata.olympics2014 import data
# create a DataFrame with the sample data
df = pd.io.json.json_normalize(data['data'])
# filter by countries with at least one medal and sort
df = df[df['medals.total'] > 0]
df = df.sort("medals.total", ascending=False)
# get the countries and group the data by medal type
countries = df.abbr.values.tolist()
gold = df['medals.gold'].astype(float).values
silver = df['medals.silver'].astype(float).values
bronze = df['medals.bronze'].astype(float).values
# build a dict containing the grouped data
medals = OrderedDict(bronze=bronze, silver=silver, gold=gold)
# any of the following commented are valid BoxPlot inputs
#medals = pd.DataFrame(medals)
#medals = list(medals.values())
#medals = tuple(medals.values())
#medals = np.array(list(medals.values()))
output_file("boxplot.html")
boxplot = BoxPlot(
medals, marker='circle', outliers=True, title="boxplot test",
xlabel="medal type", ylabel="medal count", width=800, height=600)
show(boxplot)
Example:
from collections import OrderedDict
import pandas as pd
from bokeh.charts import Donut, show, output_file
from bokeh.sampledata.olympics2014 import data
# throw the data into a pandas data frame
df = pd.io.json.json_normalize(data['data'])
# filter by countries with at least one medal and sort
df = df[df['medals.total'] > 8]
df = df.sort("medals.total", ascending=False)
# get the countries and we group the data by medal type
countries = df.abbr.values.tolist()
gold = df['medals.gold'].astype(float).values
silver = df['medals.silver'].astype(float).values
bronze = df['medals.bronze'].astype(float).values
# build a dict containing the grouped data
medals = OrderedDict()
medals['bronze'] = bronze
medals['silver'] = silver
medals['gold'] = gold
# any of the following commented are also valid Donut inputs
#medals = list(medals.values())
#medals = np.array(list(medals.values()))
#medals = pd.DataFrame(medals)
output_file("donut.html")
donut = Donut(medals, countries)
show(donut)
Example:
from collections import OrderedDict
from bokeh.charts import Dot, show, output_file
# create some example data
xyvalues = OrderedDict(
python=[2, 3, 7, 5, 26],
pypy=[12, 33, 47, 15, 126],
jython=[22, 43, 10, 25, 26],
)
# any of the following commented are also valid Dot inputs
#xyvalues = pd.DataFrame(xyvalues)
#xyvalues = list(xyvalues.values())
#xyvalues = np.array(list(xyvalues.values()))
output_file("dots.html")
dots = Dot(
xyvalues, cat=['lists','loops','dicts', 'gen exp', 'exceptions'],
title="Dots Example", ylabel='Performance', legend=True
)
show(dots)
Example:
from bokeh.charts import HeatMap, output_file, show
from bokeh.sampledata.unemployment1948 import data
# pandas magic
df = data[data.columns[:-2]]
df2 = df.set_index(df[df.columns[0]].astype(str))
df2.drop(df.columns[0], axis=1, inplace=True)
df3 = df2.transpose()
output_file("cat_heatmap.html")
hm = HeatMap(df3, title="categorical heatmap", width=800)
show(hm)
Example:
from collections import OrderedDict
import numpy as np
import pandas as pd
from bokeh.charts import Histogram, show, output_file
# build some distributions and load them into a dict
mu, sigma = 0, 0.5
normal = np.random.normal(mu, sigma, 1000)
lognormal = np.random.lognormal(mu, sigma, 1000)
distributions = OrderedDict(normal=normal, lognormal=lognormal)
# create a pandas data frame from the dict
df = pd.DataFrame(distributions)
distributions = df.to_dict()
for k, v in distributions.items():
distributions[k] = v.values()
# any of the following commented are valid Histogram inputs
#df = list(distributions.values())
#df = tuple(distributions.values())
#df = tuple([tuple(x) for x in distributions.values()])
#df = np.array(list(distributions.values()))
#df = list(distributions.values())[0]
output_file("histograms.html")
hist = Histogram(df, bins=50, legend=True)
show(hist)
Example:
from collections import OrderedDict
import pandas as pd
from bokeh.charts import Horizon, output_file, show
# read in some stock data from the Yahoo Finance API
AAPL = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date'])
MSFT = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=MSFT&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date'])
IBM = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=IBM&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date'])
xyvalues = OrderedDict(
AAPL=AAPL['Adj Close'],
Date=AAPL['Date'],
MSFT=MSFT['Adj Close'],
IBM=IBM['Adj Close'],
)
output_file("horizon.html")
hp = Horizon(
xyvalues, index='Date',
title="horizon plot using stock inputs",
width=800, height=300
)
show(hp)
Example:
from collections import OrderedDict
from bokeh.charts import Line, show, output_file
xyvalues = OrderedDict(
python=[2, 3, 7, 5, 26, 221, 44, 233, 254, 265, 266, 267, 120, 111],
pypy=[12, 33, 47, 15, 126, 121, 144, 233, 254, 225, 226, 267, 110, 130],
jython=[22, 43, 10, 25, 26, 101, 114, 203, 194, 215, 201, 227, 139, 160],
)
# any of the following commented are also valid Line inputs
#xyvalues = pd.DataFrame(xyvalues)
#xyvalues = xyvalues.values()
#xyvalues = np.array(xyvalues.values())
output_file("lines.html", title="line.py example")
chart = Line(xyvalues, title="Lines", ylabel='measures', legend=True)
show(chart)
Example:
from collections import OrderedDict
from bokeh.charts import Scatter, output_file, show
from bokeh.sampledata.iris import flowers
# fill a data frame with the data of interest and create a groupby object
df = flowers[["petal_length", "petal_width", "species"]]
xyvalues = g = df.groupby("species")
# drop that groupby object into a dict
pdict = OrderedDict()
for i in g.groups.keys():
labels = g.get_group(i).columns
xname = labels[0]
yname = labels[1]
x = getattr(g.get_group(i), xname)
y = getattr(g.get_group(i), yname)
pdict[i] = zip(x, y)
# any of the following commented are also valid Scatter inputs
#xyvalues = pdict
#xyvalues = pd.DataFrame(xyvalues)
#xyvalues = xyvalues.values()
#xyvalues = np.array(xyvalues.values())
output_file("iris_scatter.html")
TOOLS="resize,crosshair,pan,wheel_zoom,box_zoom,reset,previewsave"
scatter = Scatter(xyvalues, tools=TOOLS, ylabel='petal_width')
show(scatter)
Example:
from collections import OrderedDict
from bokeh.charts import Step, show, output_file
xyvalues = OrderedDict(
python=[2, 3, 7, 5, 26, 81, 44, 93, 94, 105, 66, 67, 90, 83],
pypy=[12, 20, 47, 15, 126, 121, 144, 333, 354, 225, 276, 287, 270, 230],
jython=[22, 43, 70, 75, 76, 101, 114, 123, 194, 215, 201, 227, 139, 160],
)
# any of the following commented are also valid Step inputs
#xyvalues = pd.DataFrame(xyvalues)
#xyvalues = list(xyvalues.values())
#xyvalues = np.array(list(xyvalues.values()))
output_file("steps.html", title="line.py example")
chart = Step(xyvalues, title="Steps", ylabel='measures', legend='top_left')
show(chart)
Example:
from collections import OrderedDict
import pandas as pd
from bokeh.charts import TimeSeries, show, output_file
# read in some stock data from the Yahoo Finance API
AAPL = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date'])
MSFT = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=MSFT&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date'])
IBM = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=IBM&a=0&b=1&c=2000&d=0&e=1&f=2010",
parse_dates=['Date'])
xyvalues = OrderedDict(
AAPL=AAPL['Adj Close'],
Date=AAPL['Date'],
MSFT=MSFT['Adj Close'],
IBM=IBM['Adj Close'],
)
# any of the following commented are valid Bar inputs
#xyvalues = pd.DataFrame(xyvalues)
#lindex = xyvalues.pop('Date')
#lxyvalues = list(xyvalues.values())
#lxyvalues = np.array(xyvalues.values())
TOOLS="resize,pan,wheel_zoom,box_zoom,reset,previewsave"
output_file("stocks_timeseries.html")
ts = TimeSeries(
xyvalues, index='Date', legend=True,
title="timeseries, pd_input", tools=TOOLS, ylabel='Stock Prices')
# usage with iterable index
#ts = TimeSeries(
# lxyvalues, index=lindex,
# title="timeseries, pd_input", ylabel='Stock Prices')
show(ts)
Here you can find a summary table that makes it easier to group and visualize those differences:
| Argument | Area | Bar | BoxPlot | HeatMap | Donut | Dot | Histogram | Horizon | Line | Scatter | Step | TimeSeries |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| values | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| index | Yes | No | No | No | No | No | No | Yes | Yes | No | Yes | Yes |
| cat | No | Yes | No | Yes | No | Yes | No | No | No | No | No | No |
| stacked | Yes | Yes | No | No | No | No | No | No | No | No | No | No |
| pallette | No | No | No | Yes | No | No | No | No | No | No | No | No |
| bins | No | No | No | No | No | No | Yes | No | No | No | No | No |
| mu | No | No | No | No | No | No | Yes | No | No | No | No | |
| sigma | No | No | No | No | No | No | Yes | No | No | No | No | No |
| num_folds | No | No | No | No | No | No | No | Yes | No | No | No | No |
| pos_color | No | No | No | No | No | No | No | Yes | No | No | No | No |
| ned_color | No | No | No | No | No | No | No | Yes | No | No | No | No |
Note
Scatter values are supposed to be iterables of coupled values. I.e.: [[(1, 20), ..., (200, 21)], ..., [(1, 12),... (200, 19)]]
As with the low and middle level Bokeh plotting APIs, in bokeh.charts, we also support the chart output to:
a file:
hist = Histogram(distributions, bins=50, filename="hist.html")
hist.show()
# or use
from bokeh.plotting import output_file, show
output_file('hist.html')
show(hist)
to bokeh-server:
hist = Histogram(distributions, bins=50, server=True)
hist.show()
# or use
from bokeh.plotting import output_server, show
output_server('hist')
show(hist)
to IPython notebook:
hist = Histogram(distributions, bins=50, notebook=True)
hist.show()
# or use
from bokeh.plotting import output_notebook, show
output_notebook()
show(hist)
Note
You can output to any or all of these 3 possibilities because, right now, they are not mutually exclusive.
Since 0.8 release Charts creation is streamlined by specific objects called Builders. Builders are convenience classes that create all computation, validation and low-level geometries needed to render a High Level Chart. This provides clear pattern to easily extend the Charts interface with new charts. For more info about this refer to Builders reference.