ZooKeeper Administrator's Guide
A Guide to Deployment and Administration
- Deployment
- Administration
Deployment
This section contains information about deploying Zookeeper and covers these topics:
The first two sections assume you are interested in installing ZooKeeper in a production environment such as a datacenter. The final section covers situations in which you are setting up ZooKeeper on a limited basis - for evaluation, testing, or development - but not in a production environment.
System Requirements
Supported Platforms
ZooKeeper consists of multiple components. Some components are supported broadly, and other components are supported only on a smaller set of platforms.
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Client is the Java client library, used by applications to connect to a ZooKeeper ensemble.
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Server is the Java server that runs on the ZooKeeper ensemble nodes.
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Native Client is a client implemented in C, similar to the Java client, used by applications to connect to a ZooKeeper ensemble.
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Contrib refers to multiple optional add-on components.
The following matrix describes the level of support committed for running each component on different operating system platforms.
| Operating System | Client | Server | Native Client | Contrib |
|---|---|---|---|---|
| GNU/Linux | Development and Production | Development and Production | Development and Production | Development and Production |
| Solaris | Development and Production | Development and Production | Not Supported | Not Supported |
| FreeBSD | Development and Production | Development and Production | Not Supported | Not Supported |
| Windows | Development and Production | Development and Production | Not Supported | Not Supported |
| Mac OS X | Development Only | Development Only | Not Supported | Not Supported |
For any operating system not explicitly mentioned as supported in the matrix, components may or may not work. The ZooKeeper community will fix obvious bugs that are reported for other platforms, but there is no full support.
Required Software
ZooKeeper runs in Java, release 1.6 or greater (JDK 6 or greater). It runs as an ensemble of ZooKeeper servers. Three ZooKeeper servers is the minimum recommended size for an ensemble, and we also recommend that they run on separate machines. At Yahoo!, ZooKeeper is usually deployed on dedicated RHEL boxes, with dual-core processors, 2GB of RAM, and 80GB IDE hard drives.
Clustered (Multi-Server) Setup
For reliable ZooKeeper service, you should deploy ZooKeeper in a cluster known as an ensemble. As long as a majority of the ensemble are up, the service will be available. Because Zookeeper requires a majority, it is best to use an odd number of machines. For example, with four machines ZooKeeper can only handle the failure of a single machine; if two machines fail, the remaining two machines do not constitute a majority. However, with five machines ZooKeeper can handle the failure of two machines.
As mentioned in the ZooKeeper Getting Started Guide , a minimum of three servers are required for a fault tolerant clustered setup, and it is strongly recommended that you have an odd number of servers.
Usually three servers is more than enough for a production install, but for maximum reliability during maintenance, you may wish to install five servers. With three servers, if you perform maintenance on one of them, you are vulnerable to a failure on one of the other two servers during that maintenance. If you have five of them running, you can take one down for maintenance, and know that you're still OK if one of the other four suddenly fails.
Your redundancy considerations should include all aspects of your environment. If you have three ZooKeeper servers, but their network cables are all plugged into the same network switch, then the failure of that switch will take down your entire ensemble.
Here are the steps to setting a server that will be part of an ensemble. These steps should be performed on every host in the ensemble:
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Install the Java JDK. You can use the native packaging system for your system, or download the JDK from:
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Set the Java heap size. This is very important to avoid swapping, which will seriously degrade ZooKeeper performance. To determine the correct value, use load tests, and make sure you are well below the usage limit that would cause you to swap. Be conservative - use a maximum heap size of 3GB for a 4GB machine.
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Install the ZooKeeper Server Package. It can be downloaded from:
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Create a configuration file. This file can be called anything. Use the following settings as a starting point:
tickTime=2000 dataDir=/var/lib/zookeeper/ clientPort=2181 initLimit=5 syncLimit=2 server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
You can find the meanings of these and other configuration settings in the section Configuration Parameters. A word though about a few here:
Every machine that is part of the ZooKeeper ensemble should know about every other machine in the ensemble. You accomplish this with the series of lines of the form server.id=host:port:port. The parameters host and port are straightforward. You attribute the server id to each machine by creating a file named myid, one for each server, which resides in that server's data directory, as specified by the configuration file parameter dataDir.
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The myid file consists of a single line containing only the text of that machine's id. So myid of server 1 would contain the text "1" and nothing else. The id must be unique within the ensemble and should have a value between 1 and 255.
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If your configuration file is set up, you can start a ZooKeeper server:
$ java -cp zookeeper.jar:lib/slf4j-api-1.6.1.jar:lib/slf4j-log4j12-1.6.1.jar:lib/log4j-1.2.15.jar:conf \ org.apache.zookeeper.server.quorum.QuorumPeerMain zoo.cfg
QuorumPeerMain starts a ZooKeeper server, JMX management beans are also registered which allows management through a JMX management console. The ZooKeeper JMX document contains details on managing ZooKeeper with JMX.
See the script bin/zkServer.sh, which is included in the release, for an example of starting server instances.
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Test your deployment by connecting to the hosts:
In Java, you can run the following command to execute simple operations:
$ bin/zkCli.sh -server <IP_ADDRESS>:2181
Single Server and Developer Setup
If you want to setup ZooKeeper for development purposes, you will probably want to setup a single server instance of ZooKeeper, and then install either the Java or C client-side libraries and bindings on your development machine.
The steps to setting up a single server instance are the similar to the above, except the configuration file is simpler. You can find the complete instructions in the Installing and Running ZooKeeper in Single Server Mode section of the ZooKeeper Getting Started Guide.
For information on installing the client side libraries, refer to the Bindings section of the ZooKeeper Programmer's Guide.
Administration
This section contains information about running and maintaining ZooKeeper and covers these topics:
Designing a ZooKeeper Deployment
The reliablity of ZooKeeper rests on two basic assumptions.
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Only a minority of servers in a deployment will fail. Failure in this context means a machine crash, or some error in the network that partitions a server off from the majority.
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Deployed machines operate correctly. To operate correctly means to execute code correctly, to have clocks that work properly, and to have storage and network components that perform consistently.
The sections below contain considerations for ZooKeeper administrators to maximize the probability for these assumptions to hold true. Some of these are cross-machines considerations, and others are things you should consider for each and every machine in your deployment.
Cross Machine Requirements
For the ZooKeeper service to be active, there must be a majority of non-failing machines that can communicate with each other. To create a deployment that can tolerate the failure of F machines, you should count on deploying 2xF+1 machines. Thus, a deployment that consists of three machines can handle one failure, and a deployment of five machines can handle two failures. Note that a deployment of six machines can only handle two failures since three machines is not a majority. For this reason, ZooKeeper deployments are usually made up of an odd number of machines.
To achieve the highest probability of tolerating a failure you should try to make machine failures independent. For example, if most of the machines share the same switch, failure of that switch could cause a correlated failure and bring down the service. The same holds true of shared power circuits, cooling systems, etc.
Single Machine Requirements
If ZooKeeper has to contend with other applications for access to resourses like storage media, CPU, network, or memory, its performance will suffer markedly. ZooKeeper has strong durability guarantees, which means it uses storage media to log changes before the operation responsible for the change is allowed to complete. You should be aware of this dependency then, and take great care if you want to ensure that ZooKeeper operations aren’t held up by your media. Here are some things you can do to minimize that sort of degradation:
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ZooKeeper's transaction log must be on a dedicated device. (A dedicated partition is not enough.) ZooKeeper writes the log sequentially, without seeking Sharing your log device with other processes can cause seeks and contention, which in turn can cause multi-second delays.
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Do not put ZooKeeper in a situation that can cause a swap. In order for ZooKeeper to function with any sort of timeliness, it simply cannot be allowed to swap. Therefore, make certain that the maximum heap size given to ZooKeeper is not bigger than the amount of real memory available to ZooKeeper. For more on this, see Things to Avoid below.
Provisioning
Things to Consider: ZooKeeper Strengths and Limitations
Administering
Maintenance
Little long term maintenance is required for a ZooKeeper cluster however you must be aware of the following:
Ongoing Data Directory Cleanup
The ZooKeeper Data Directory contains files which are a persistent copy of the znodes stored by a particular serving ensemble. These are the snapshot and transactional log files. As changes are made to the znodes these changes are appended to a transaction log. Occasionally, when a log grows large, a snapshot of the current state of all znodes will be written to the filesystem and a new transaction log file is created for future transactions. During snapshotting, ZooKeeper may continue appending incoming transactions to the old log file. Therefore, some transactions which are newer than a snapshot may be found in the last transaction log preceding the snapshot.
A ZooKeeper server will not remove old snapshots and log files when using the default configuration (see autopurge below), this is the responsibility of the operator. Every serving environment is different and therefore the requirements of managing these files may differ from install to install (backup for example).
The PurgeTxnLog utility implements a simple retention policy that administrators can use. The API docs contains details on calling conventions (arguments, etc...).
In the following example the last count snapshots and their corresponding logs are retained and the others are deleted. The value of <count> should typically be greater than 3 (although not required, this provides 3 backups in the unlikely event a recent log has become corrupted). This can be run as a cron job on the ZooKeeper server machines to clean up the logs daily.
java -cp zookeeper.jar:lib/slf4j-api-1.6.1.jar:lib/slf4j-log4j12-1.6.1.jar:lib/log4j-1.2.15.jar:conf org.apache.zookeeper.server.PurgeTxnLog <dataDir> <snapDir> -n <count>
Automatic purging of the snapshots and corresponding transaction logs was introduced in version 3.4.0 and can be enabled via the following configuration parameters autopurge.snapRetainCount and autopurge.purgeInterval. For more on this, see Advanced Configuration below.
Debug Log Cleanup (log4j)
See the section on logging in this document. It is expected that you will setup a rolling file appender using the in-built log4j feature. The sample configuration file in the release tar's conf/log4j.properties provides an example of this.
Supervision
You will want to have a supervisory process that manages each of your ZooKeeper server processes (JVM). The ZK server is designed to be "fail fast" meaning that it will shutdown (process exit) if an error occurs that it cannot recover from. As a ZooKeeper serving cluster is highly reliable, this means that while the server may go down the cluster as a whole is still active and serving requests. Additionally, as the cluster is "self healing" the failed server once restarted will automatically rejoin the ensemble w/o any manual interaction.
Having a supervisory process such as daemontools or SMF (other options for supervisory process are also available, it's up to you which one you would like to use, these are just two examples) managing your ZooKeeper server ensures that if the process does exit abnormally it will automatically be restarted and will quickly rejoin the cluster.
Monitoring
The ZooKeeper service can be monitored in one of two primary ways; 1) the command port through the use of 4 letter words and 2) JMX. See the appropriate section for your environment/requirements.
Logging
ZooKeeper uses log4j version 1.2 as its logging infrastructure. The ZooKeeper default log4j.properties file resides in the conf directory. Log4j requires that log4j.properties either be in the working directory (the directory from which ZooKeeper is run) or be accessible from the classpath.
For more information, see Log4j Default Initialization Procedure of the log4j manual.
Troubleshooting
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Server not coming up because of file corruption -
A server might not be able to read its database and fail to come up because of some file corruption in the transaction logs of the ZooKeeper server. You will see some IOException on loading ZooKeeper database. In such a case, make sure all the other servers in your ensemble are up and working. Use "stat" command on the command port to see if they are in good health. After you have verified that all the other servers of the ensemble are up, you can go ahead and clean the database of the corrupt server. Delete all the files in datadir/version-2 and datalogdir/version-2/. Restart the server.
Configuration Parameters
ZooKeeper's behavior is governed by the ZooKeeper configuration file. This file is designed so that the exact same file can be used by all the servers that make up a ZooKeeper server assuming the disk layouts are the same. If servers use different configuration files, care must be taken to ensure that the list of servers in all of the different configuration files match.
Minimum Configuration
Here are the minimum configuration keywords that must be defined in the configuration file:
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clientPort -
the port to listen for client connections; that is, the port that clients attempt to connect to.
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dataDir -
the location where ZooKeeper will store the in-memory database snapshots and, unless specified otherwise, the transaction log of updates to the database.
NoteBe careful where you put the transaction log. A dedicated transaction log device is key to consistent good performance. Putting the log on a busy device will adversely effect performance.
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tickTime -
the length of a single tick, which is the basic time unit used by ZooKeeper, as measured in milliseconds. It is used to regulate heartbeats, and timeouts. For example, the minimum session timeout will be two ticks.
Advanced Configuration
The configuration settings in the section are optional. You can use them to further fine tune the behaviour of your ZooKeeper servers. Some can also be set using Java system properties, generally of the form zookeeper.keyword. The exact system property, when available, is noted below.
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dataLogDir -
(No Java system property)
This option will direct the machine to write the transaction log to the dataLogDir rather than the dataDir. This allows a dedicated log device to be used, and helps avoid competition between logging and snaphots.
NoteHaving a dedicated log device has a large impact on throughput and stable latencies. It is highly recommened to dedicate a log device and set dataLogDir to point to a directory on that device, and then make sure to point dataDir to a directory not residing on that device.
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globalOutstandingLimit -
(Java system property: zookeeper.globalOutstandingLimit.)
Clients can submit requests faster than ZooKeeper can process them, especially if there are a lot of clients. To prevent ZooKeeper from running out of memory due to queued requests, ZooKeeper will throttle clients so that there is no more than globalOutstandingLimit outstanding requests in the system. The default limit is 1,000.
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preAllocSize -
(Java system property: zookeeper.preAllocSize)
To avoid seeks ZooKeeper allocates space in the transaction log file in blocks of preAllocSize kilobytes. The default block size is 64M. One reason for changing the size of the blocks is to reduce the block size if snapshots are taken more often. (Also, see snapCount).
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snapCount -
(Java system property: zookeeper.snapCount)
ZooKeeper records its transactions using snapshots and a transaction log (think write-ahead log).The number of transactions recorded in the transaction log before a snapshot can be taken (and the transaction log rolled) is determined by snapCount. In order to prevent all of the machines in the quorum from taking a snapshot at the same time, each ZooKeeper server will take a snapshot when the number of transactions in the transaction log reaches a runtime generated random value in the [snapCount/2+1, snapCount] range.The default snapCount is 100,000.
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maxClientCnxns -
(No Java system property)
Limits the number of concurrent connections (at the socket level) that a single client, identified by IP address, may make to a single member of the ZooKeeper ensemble. This is used to prevent certain classes of DoS attacks, including file descriptor exhaustion. The default is 60. Setting this to 0 entirely removes the limit on concurrent connections.
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clientPortAddress -
New in 3.3.0: the address (ipv4, ipv6 or hostname) to listen for client connections; that is, the address that clients attempt to connect to. This is optional, by default we bind in such a way that any connection to the clientPort for any address/interface/nic on the server will be accepted.
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minSessionTimeout -
(No Java system property)
New in 3.3.0: the minimum session timeout in milliseconds that the server will allow the client to negotiate. Defaults to 2 times the tickTime.
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maxSessionTimeout -
(No Java system property)
New in 3.3.0: the maximum session timeout in milliseconds that the server will allow the client to negotiate. Defaults to 20 times the tickTime.
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fsync.warningthresholdms -
(Java system property: zookeeper.fsync.warningthresholdms)
New in 3.3.4: A warning message will be output to the log whenever an fsync in the Transactional Log (WAL) takes longer than this value. The values is specified in milliseconds and defaults to 1000. This value can only be set as a system property.
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autopurge.snapRetainCount -
(No Java system property)
New in 3.4.0: When enabled, ZooKeeper auto purge feature retains the autopurge.snapRetainCount most recent snapshots and the corresponding transaction logs in the dataDir and dataLogDir respectively and deletes the rest. Defaults to 3. Minimum value is 3.
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autopurge.purgeInterval -
(No Java system property)
New in 3.4.0: The time interval in hours for which the purge task has to be triggered. Set to a positive integer (1 and above) to enable the auto purging. Defaults to 0.
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syncEnabled -
(Java system property: zookeeper.observer.syncEnabled)
New in 3.4.6, 3.5.0: The observers now log transaction and write snapshot to disk by default like the participants. This reduces the recovery time of the observers on restart. Set to "false" to disable this feature. Default is "true"
Cluster Options
The options in this section are designed for use with an ensemble of servers -- that is, when deploying clusters of servers.
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electionAlg -
(No Java system property)
Election implementation to use. A value of "0" corresponds to the original UDP-based version, "1" corresponds to the non-authenticated UDP-based version of fast leader election, "2" corresponds to the authenticated UDP-based version of fast leader election, and "3" corresponds to TCP-based version of fast leader election. Currently, algorithm 3 is the default
NoteThe implementations of leader election 0, 1, and 2 are now deprecated . We have the intention of removing them in the next release, at which point only the FastLeaderElection will be available.
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initLimit -
(No Java system property)
Amount of time, in ticks (see tickTime), to allow followers to connect and sync to a leader. Increased this value as needed, if the amount of data managed by ZooKeeper is large.
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leaderServes -
(Java system property: zookeeper.leaderServes)
Leader accepts client connections. Default value is "yes". The leader machine coordinates updates. For higher update throughput at thes slight expense of read throughput the leader can be configured to not accept clients and focus on coordination. The default to this option is yes, which means that a leader will accept client connections.
NoteTurning on leader selection is highly recommended when you have more than three ZooKeeper servers in an ensemble.
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server.x=[hostname]:nnnnn[:nnnnn], etc -
(No Java system property)
servers making up the ZooKeeper ensemble. When the server starts up, it determines which server it is by looking for the file myid in the data directory. That file contains the server number, in ASCII, and it should match x in server.x in the left hand side of this setting.
The list of servers that make up ZooKeeper servers that is used by the clients must match the list of ZooKeeper servers that each ZooKeeper server has.
There are two port numbers nnnnn. The first followers use to connect to the leader, and the second is for leader election. The leader election port is only necessary if electionAlg is 1, 2, or 3 (default). If electionAlg is 0, then the second port is not necessary. If you want to test multiple servers on a single machine, then different ports can be used for each server.
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syncLimit -
(No Java system property)
Amount of time, in ticks (see tickTime), to allow followers to sync with ZooKeeper. If followers fall too far behind a leader, they will be dropped.
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group.x=nnnnn[:nnnnn] -
(No Java system property)
Enables a hierarchical quorum construction."x" is a group identifier and the numbers following the "=" sign correspond to server identifiers. The left-hand side of the assignment is a colon-separated list of server identifiers. Note that groups must be disjoint and the union of all groups must be the ZooKeeper ensemble.
You will find an example here
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weight.x=nnnnn -
(No Java system property)
Used along with "group", it assigns a weight to a server when forming quorums. Such a value corresponds to the weight of a server when voting. There are a few parts of ZooKeeper that require voting such as leader election and the atomic broadcast protocol. By default the weight of server is 1. If the configuration defines groups, but not weights, then a value of 1 will be assigned to all servers.
You will find an example here
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cnxTimeout -
(Java system property: zookeeper.cnxTimeout)
Sets the timeout value for opening connections for leader election notifications. Only applicable if you are using electionAlg 3.
NoteDefault value is 5 seconds.
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4lw.commands.whitelist -
(Java system property: zookeeper.4lw.commands.whitelist)
New in 3.4.10: This property contains a list of comma separated Four Letter Words commands. It is introduced to provide fine grained control over the set of commands ZooKeeper can execute, so users can turn off certain commands if necessary. By default it contains all supported four letter word commands except "wchp" and "wchc", if the property is not specified. If the property is specified, then only commands listed in the whitelist are enabled.
Here's an example of the configuration that enables stat, ruok, conf, and isro command while disabling the rest of Four Letter Words command:
4lw.commands.whitelist=stat, ruok, conf, isro
Users can also use asterisk option so they don't have to include every command one by one in the list. As an example, this will enable all four letter word commands:
4lw.commands.whitelist=*
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ipReachableTimeout -
(Java system property: zookeeper.ipReachableTimeout)
New in 3.4.11: Set this timeout value for IP addresses reachable checking when hostname is resolved, as mesured in milliseconds. By default, ZooKeeper will use the first IP address of the hostname(without any reachable checking). When zookeeper.ipReachableTimeout is set(larger than 0), ZooKeeper will will try to pick up the first IP address which is reachable. This is done by calling Java API InetAddress.isReachable(long timeout) function, in which this timeout value is used. If none of such reachable IP address can be found, the first IP address of the hostname will be used anyway.
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tcpKeepAlive -
(Java system property: zookeeper.tcpKeepAlive)
New in 3.4.11: Setting this to true sets the TCP keepAlive flag on the sockets used by quorum members to perform elections. This will allow for connections between quorum members to remain up when there is network infrastructure that may otherwise break them. Some NATs and firewalls may terminate or lose state for long running or idle connections.
Enabling this option relies on OS level settings to work properly, check your operating system's options regarding TCP keepalive for more information. Defaults to false.
Authentication & Authorization Options
The options in this section allow control over authentication/authorization performed by the service.
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zookeeper.DigestAuthenticationProvider.superDigest -
(Java system property only: zookeeper.DigestAuthenticationProvider.superDigest)
By default this feature is disabled
New in 3.2: Enables a ZooKeeper ensemble administrator to access the znode hierarchy as a "super" user. In particular no ACL checking occurs for a user authenticated as super.
org.apache.zookeeper.server.auth.DigestAuthenticationProvider can be used to generate the superDigest, call it with one parameter of "super:<password>". Provide the generated "super:<data>" as the system property value when starting each server of the ensemble.
When authenticating to a ZooKeeper server (from a ZooKeeper client) pass a scheme of "digest" and authdata of "super:<password>". Note that digest auth passes the authdata in plaintext to the server, it would be prudent to use this authentication method only on localhost (not over the network) or over an encrypted connection.
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isro -
New in 3.4.0: Tests if server is running in read-only mode. The server will respond with "ro" if in read-only mode or "rw" if not in read-only mode.
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gtmk -
Gets the current trace mask as a 64-bit signed long value in decimal format. See stmk for an explanation of the possible values.
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stmk -
Sets the current trace mask. The trace mask is 64 bits, where each bit enables or disables a specific category of trace logging on the server. Log4J must be configured to enable TRACE level first in order to see trace logging messages. The bits of the trace mask correspond to the following trace logging categories.
Trace Mask Bit Values Trace Mask Bit Values 0b0000000000 Unused, reserved for future use. 0b0000000010 Logs client requests, excluding ping requests. 0b0000000100 Unused, reserved for future use. 0b0000001000 Logs client ping requests. 0b0000010000 Logs packets received from the quorum peer that is the current leader, excluding ping requests. 0b0000100000 Logs addition, removal and validation of client sessions. 0b0001000000 Logs delivery of watch events to client sessions. 0b0010000000 Logs ping packets received from the quorum peer that is the current leader. 0b0100000000 Unused, reserved for future use. 0b1000000000 Unused, reserved for future use. All remaining bits in the 64-bit value are unused and reserved for future use. Multiple trace logging categories are specified by calculating the bitwise OR of the documented values. The default trace mask is 0b0100110010. Thus, by default, trace logging includes client requests, packets received from the leader and sessions.
To set a different trace mask, send a request containing the stmk four-letter word followed by the trace mask represented as a 64-bit signed long value. This example uses the Perl pack function to construct a trace mask that enables all trace logging categories described above and convert it to a 64-bit signed long value with big-endian byte order. The result is appended to stmk and sent to the server using netcat. The server responds with the new trace mask in decimal format.
$ perl -e "print 'stmk', pack('q>', 0b0011111010)" | nc localhost 2181 250
Experimental Options/Features
New features that are currently considered experimental.
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Read Only Mode Server -
(Java system property: readonlymode.enabled)
New in 3.4.0: Setting this value to true enables Read Only Mode server support (disabled by default). ROM allows clients sessions which requested ROM support to connect to the server even when the server might be partitioned from the quorum. In this mode ROM clients can still read values from the ZK service, but will be unable to write values and see changes from other clients. See ZOOKEEPER-784 for more details.
Unsafe Options
The following options can be useful, but be careful when you use them. The risk of each is explained along with the explanation of what the variable does.
-
forceSync -
(Java system property: zookeeper.forceSync)
Requires updates to be synced to media of the transaction log before finishing processing the update. If this option is set to no, ZooKeeper will not require updates to be synced to the media.
-
jute.maxbuffer: -
(Java system property: jute.maxbuffer)
This option can only be set as a Java system property. There is no zookeeper prefix on it. It specifies the maximum size of the data that can be stored in a znode. The default is 0xfffff, or just under 1M. If this option is changed, the system property must be set on all servers and clients otherwise problems will arise. This is really a sanity check. ZooKeeper is designed to store data on the order of kilobytes in size.
-
skipACL -
(Java system property: zookeeper.skipACL)
Skips ACL checks. This results in a boost in throughput, but opens up full access to the data tree to everyone.
-
quorumListenOnAllIPs -
When set to true the ZooKeeper server will listen for connections from its peers on all available IP addresses, and not only the address configured in the server list of the configuration file. It affects the connections handling the ZAB protocol and the Fast Leader Election protocol. Default value is false.
Communication using the Netty framework
New in 3.4: Netty is an NIO based client/server communication framework, it simplifies (over NIO being used directly) many of the complexities of network level communication for java applications. Additionally the Netty framework has built in support for encryption (SSL) and authentication (certificates). These are optional features and can be turned on or off individually.
Prior to version 3.4 ZooKeeper has always used NIO directly, however in versions 3.4 and later Netty is supported as an option to NIO (replaces). NIO continues to be the default, however Netty based communication can be used in place of NIO by setting the environment variable "zookeeper.serverCnxnFactory" to "org.apache.zookeeper.server.NettyServerCnxnFactory". You have the option of setting this on either the client(s) or server(s), typically you would want to set this on both, however that is at your discretion.
TBD - tuning options for netty - currently there are none that are netty specific but we should add some. Esp around max bound on the number of reader worker threads netty creates.
TBD - how to manage encryption
TBD - how to manage certificates
ZooKeeper Commands: The Four Letter Words
ZooKeeper responds to a small set of commands. Each command is composed of four letters. You issue the commands to ZooKeeper via telnet or nc, at the client port.
Three of the more interesting commands: "stat" gives some general information about the server and connected clients, while "srvr" and "cons" give extended details on server and connections respectively.
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conf -
New in 3.3.0: Print details about serving configuration.
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cons -
New in 3.3.0: List full connection/session details for all clients connected to this server. Includes information on numbers of packets received/sent, session id, operation latencies, last operation performed, etc...
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crst -
New in 3.3.0: Reset connection/session statistics for all connections.
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dump -
Lists the outstanding sessions and ephemeral nodes. This only works on the leader.
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envi -
Print details about serving environment
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ruok -
Tests if server is running in a non-error state. The server will respond with imok if it is running. Otherwise it will not respond at all.
A response of "imok" does not necessarily indicate that the server has joined the quorum, just that the server process is active and bound to the specified client port. Use "stat" for details on state wrt quorum and client connection information.
-
srst -
Reset server statistics.
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srvr -
New in 3.3.0: Lists full details for the server.
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stat -
Lists brief details for the server and connected clients.
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wchs -
New in 3.3.0: Lists brief information on watches for the server.
-
wchc -
New in 3.3.0: Lists detailed information on watches for the server, by session. This outputs a list of sessions(connections) with associated watches (paths). Note, depending on the number of watches this operation may be expensive (ie impact server performance), use it carefully.
-
wchp -
New in 3.3.0: Lists detailed information on watches for the server, by path. This outputs a list of paths (znodes) with associated sessions. Note, depending on the number of watches this operation may be expensive (ie impact server performance), use it carefully.
-
mntr -
New in 3.4.0: Outputs a list of variables that could be used for monitoring the health of the cluster.
$ echo mntr | nc localhost 2185 zk_version 3.4.0 zk_avg_latency 0 zk_max_latency 0 zk_min_latency 0 zk_packets_received 70 zk_packets_sent 69 zk_outstanding_requests 0 zk_server_state leader zk_znode_count 4 zk_watch_count 0 zk_ephemerals_count 0 zk_approximate_data_size 27 zk_followers 4 - only exposed by the Leader zk_synced_followers 4 - only exposed by the Leader zk_pending_syncs 0 - only exposed by the Leader zk_open_file_descriptor_count 23 - only available on Unix platforms zk_max_file_descriptor_count 1024 - only available on Unix platforms
The output is compatible with java properties format and the content may change over time (new keys added). Your scripts should expect changes.
ATTENTION: Some of the keys are platform specific and some of the keys are only exported by the Leader.
The output contains multiple lines with the following format:
key \t value
Here's an example of the ruok command:
$ echo ruok | nc <IP_ADDRESS> 5111 imok
Data File Management
ZooKeeper stores its data in a data directory and its transaction log in a transaction log directory. By default these two directories are the same. The server can (and should) be configured to store the transaction log files in a separate directory than the data files. Throughput increases and latency decreases when transaction logs reside on a dedicated log devices.
The Data Directory
This directory has two files in it:
-
myid - contains a single integer in human readable ASCII text that represents the server id.
-
snapshot.<zxid> - holds the fuzzy snapshot of a data tree.
Each ZooKeeper server has a unique id. This id is used in two places: the myid file and the configuration file. The myid file identifies the server that corresponds to the given data directory. The configuration file lists the contact information for each server identified by its server id. When a ZooKeeper server instance starts, it reads its id from the myid file and then, using that id, reads from the configuration file, looking up the port on which it should listen.
The snapshot files stored in the data directory are fuzzy snapshots in the sense that during the time the ZooKeeper server is taking the snapshot, updates are occurring to the data tree. The suffix of the snapshot file names is the zxid, the ZooKeeper transaction id, of the last committed transaction at the start of the snapshot. Thus, the snapshot includes a subset of the updates to the data tree that occurred while the snapshot was in process. The snapshot, then, may not correspond to any data tree that actually existed, and for this reason we refer to it as a fuzzy snapshot. Still, ZooKeeper can recover using this snapshot because it takes advantage of the idempotent nature of its updates. By replaying the transaction log against fuzzy snapshots ZooKeeper gets the state of the system at the end of the log.
The Log Directory
The Log Directory contains the ZooKeeper transaction logs. Before any update takes place, ZooKeeper ensures that the transaction that represents the update is written to non-volatile storage. A new log file is started when the number of transactions written to the current log file reaches a (variable) threshold. The threshold is computed using the same parameter which influences the frequency of snapshotting (see snapCount above). The log file's suffix is the first zxid written to that log.
File Management
The format of snapshot and log files does not change between standalone ZooKeeper servers and different configurations of replicated ZooKeeper servers. Therefore, you can pull these files from a running replicated ZooKeeper server to a development machine with a stand-alone ZooKeeper server for trouble shooting.
Using older log and snapshot files, you can look at the previous state of ZooKeeper servers and even restore that state. The LogFormatter class allows an administrator to look at the transactions in a log.
The ZooKeeper server creates snapshot and log files, but never deletes them. The retention policy of the data and log files is implemented outside of the ZooKeeper server. The server itself only needs the latest complete fuzzy snapshot, all log files following it, and the last log file preceding it. The latter requirement is necessary to include updates which happened after this snapshot was started but went into the existing log file at that time. This is possible because snapshotting and rolling over of logs proceed somewhat independently in ZooKeeper. See the maintenance section in this document for more details on setting a retention policy and maintenance of ZooKeeper storage.
The data stored in these files is not encrypted. In the case of storing sensitive data in ZooKeeper, necessary measures need to be taken to prevent unauthorized access. Such measures are external to ZooKeeper (e.g., control access to the files) and depend on the individual settings in which it is being deployed.
Things to Avoid
Here are some common problems you can avoid by configuring ZooKeeper correctly:
-
inconsistent lists of servers -
The list of ZooKeeper servers used by the clients must match the list of ZooKeeper servers that each ZooKeeper server has. Things work okay if the client list is a subset of the real list, but things will really act strange if clients have a list of ZooKeeper servers that are in different ZooKeeper clusters. Also, the server lists in each Zookeeper server configuration file should be consistent with one another.
-
incorrect placement of transaction log -
The most performance critical part of ZooKeeper is the transaction log. ZooKeeper syncs transactions to media before it returns a response. A dedicated transaction log device is key to consistent good performance. Putting the log on a busy device will adversely effect performance. If you only have one storage device, put trace files on NFS and increase the snapshotCount; it doesn't eliminate the problem, but it should mitigate it.
-
incorrect Java heap size -
You should take special care to set your Java max heap size correctly. In particular, you should not create a situation in which ZooKeeper swaps to disk. The disk is death to ZooKeeper. Everything is ordered, so if processing one request swaps the disk, all other queued requests will probably do the same. the disk. DON'T SWAP.
Be conservative in your estimates: if you have 4G of RAM, do not set the Java max heap size to 6G or even 4G. For example, it is more likely you would use a 3G heap for a 4G machine, as the operating system and the cache also need memory. The best and only recommend practice for estimating the heap size your system needs is to run load tests, and then make sure you are well below the usage limit that would cause the system to swap.
-
Publicly accessible deployment -
A ZooKeeper ensemble is expected to operate in a trusted computing environment. It is thus recommended to deploy ZooKeeper behind a firewall.
Best Practices
For best results, take note of the following list of good Zookeeper practices:
For multi-tennant installations see the section detailing ZooKeeper "chroot" support, this can be very useful when deploying many applications/services interfacing to a single ZooKeeper cluster.


[1]
Portable, Clear Announcements! Great clarity!; Perhaps could be a bit larger, just slightly
[2]
Accurate, bright screen, great volume; Could have brought more accesories


Kurogo™ Adminstration Console
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Site Configuration
Site Setup
Default Modules
Theme
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Module Configuration
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Specify how many days different types of cookies will be set to persist in each user's browser.
Module order:
days
User-customized order of modules to be displayed on the homescreen
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User-customized home screen style (list vs. springboard)


Defines the functions used to compute the bimodal index as defined by Wang et al. (2009) <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730180/>, <doi:10.4137/CIN.S2846>.
| Version: | 1.1.7 |
| Depends: | R (≥ 3.0) |
| Imports: | oompaBase (≥ 3.0.1), mclust |
| Suggests: | oompaData |
| Published: | 2018-10-17 |
| Author: | Kevin R. Coombes |
| Maintainer: | Kevin R. Coombes <krc at silicovore.com> |
| License: | Apache License (== 2.0) |
| URL: | http://oompa.r-forge.r-project.org/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | BimodalIndex results |
| Reference manual: | BimodalIndex.pdf |
| Vignettes: |
Bimodality Index |
| Package source: | BimodalIndex_1.1.7.tar.gz |
| Windows binaries: | r-devel: BimodalIndex_1.1.7.zip, r-release: BimodalIndex_1.1.7.zip, r-oldrel: BimodalIndex_1.1.7.zip |
| OS X binaries: | r-release: BimodalIndex_1.1.7.tgz, r-oldrel: BimodalIndex_1.1.7.tgz |
| Old sources: | BimodalIndex archive |
Please use the canonical form https://CRAN.R-project.org/package=BimodalIndex to link to this page.


- My favourite person to talk to anytime, and about anything 🥰
- The exact humsafar I've always imagined 🥳
- A shy yet romantic girl 🤩
- My Personality improver 🤝
- A cheerful and religious life partner 😇
- The cutest person I'd ever have imagined in my life 🥺
- Mera panda, gappu, mappu, chappu, ghappu, MomoGappa, my love, my heartbeat, my reason of life, my darling, my everything; MY WIFE 😘💋❣
- Last but not the least - 3 degree holder 🎓🎓🎓
I got exactly I wanted - hence I want to sing this for you:
Jo tum na ho, toh hum bhi hum nahi
Na chahiye kuch - tumse zyada - tumse kam nahi 😘😘
#HappyBirthdaySonia


Welcome to the Ely.by documentation!¶
In this documentation you will find information about the public services of the Ely.by project, using which you’ll be able to integrate your projects with the Ely.by services.
You are free to improve this documentation in the documentation’s repository.


Led by PI Nicholas Reich and based in the Department of Biostatistics and Epidemiology at the University of Massachusetts Amherst, the Reich Lab focuses on developing statistical methods and tools for data arising from infectious disease settings. In 2019, we were designated as a CDC-funded Influenza Forecasting Center of Excellence.
We use statistics, data science, and epidemiology to gain better understanding of the complexities of infectious disease dynamics. Our work has been featured in the New York Times, FiveThirtyEight, the Economist, and the Boston Globe, and on National Public Radio and PBS NewsHour.
With active funded projects from the NIH and CDC, the Lab is involved in independent and collaborative research efforts. Our collaborators include the Influenza Division at the US CDC, the Dengue Branch of the CDC in Puerto Rico, the Infectious Disease Dynamics Working Group and Center for Health Security at Johns Hopkins, the Thai Ministry of Public Health and National Electronics and Computer Technology Center (NECTEC), the New York City Department of Health and Mental Hygiene, the Children's Hospital Colorado, and the Veterans Health Administration branches in New York City and Iowa City.
Nick is a Professor of Biostatistics at UMass. He received his PhD in Biostatstics from Johns Hopkins, where he also did his post-doctoral training in infectious disease epidemiology. He also enjoys spending time outside with his family (hiking, camping, canoeing, gardening).
Evan is a Research Assistant Professor of Biostatistics at UMass-Amherst. He received his PhD in statistics from UMass-Amherst, developing methods to infer physical activity type and intensity from accelerometer data. A former post-doc in the Reich Lab, he also works on developing methods for predicting infectious disease outbreaks.
Nutcha is pursuing her PhD in Biostatistics. She is interested in infectious disease forecasting, causal inference, and ensemble methods.
Estee is a PhD student in epidemiology. She is interested in infectious disease transmission and malaria surveillance. She received her MPH in global health from Case Western Reserve University. In her free time she enjoys traveling.
Ariane is a PhD student in biostatistics. She received her undergraduate degree in Mathematics from the Georgia Institute of Technology. She is interested in infectious disease forecasting. In her free time she likes to play bridge (a card game).
Vrushti is an MS student in Computer Science. She received her undergraduate degree in Computer Engineering from NMIMS University. The ability to reach a wider audience, one health problem at a time is what inspired her to join the lab. She is bubbly, outgoing with a great sense of humor.
Vidhi is a Masters student in Computer Science.  She is innovative, energetic, creative and loves to travel in her free time.
Aaron is pursuing a degree in biostatistics after a previous career lecturing in the UMass-Amherst math department. He is especially interested in how the public health needs of populations with low social or political visibility should inform forecasting and risk assessment methodologies.
Álvaro is a PhD student in epidemiology. He is interested in science communication, economic inequality, gambling, and infectious diseases. He received his MD from Universidad Internacional del Ecuador, and a BSc in Biochemistry from McGill University.
Li is an Undergrad Mathematics major with a Statistics and Data Science concentration. Li is also a part of the Biostatistics 4+1 program and has an interest in model accuracy. In her free time, she enjoys dancing and writing.
Matt is the lab's research software engineer. His M.S. is in Computer Science from UMass/Amherst, and his B.S. is in E.E. Before grad school he worked for NASA's Kennedy Space Center in Space Shuttle operations. Since then he's worked for decades in various AI research labs, writing all types of software.
Martha has worked as a biostatistician and data manager in the School of Public Health and Health Sciences, Amherst since 1987. She likes doing anything outside and garland dancing.
Serena graduated Magna cum laude from Mount Holyoke College. She was a double major of Computer Science and Statistics. She is very intersted in infectious disease forecasting. In her free time, she enjoys traveling and reading about Art History.


Float Label Pattern Forms
This new pattern transforms Bootstrap's form fields into modern, fun and user-friendly experiences!
Learn more about this pattern at http://bradfrostweb.com/blog/post/float-label-pattern/
Missing SELECT Support
This feature does not currently support SELECT tags - I'm still working out a way to make them work with Bootstrap's native examples.
Features
- Very customizable
- Works with Bootstrap's native form examples
- Uses CSS transitions for fallback browser support
- Placeholder override for labels when fields are empty
- Included authored jQuery plugin
- Optional bottom label positioning with the
.label-bottom
utility
- Works great with Chrome's AutoComplete


This example shows how to use the ngeo-recenter directive to jump between some predefined areas.
ngeo-recenter


Rebalance
Graceful Failover
failed. It will be automatically retried in {{adminCtl.retryRebalance.retry_after_secs}}
CANCEL RETRY
Warning: Rebalance is not available until data loading is completed.
XYour Couchbase bucket {{adminCtl.moxiBucket.name}} has an active dedicated port, also known as a Moxi port. Moxi is deprecated and will be removed in a future release.
You can run the CLI command couchbase-cli bucket-edit command with the --remove-bucket-port option to remove the Moxi port.
This cluster contains multiple server versions and is running in {{::poolDefault.thisNode.clusterCompatibility | decodeCompatVersion}} compatibility mode.
XWarning: {{warning | formatFailoverWarnings}}
XA server was automatically failed over. Failover quota used/max: {{adminCtl.autoFailoverSettings.count}}/{{adminCtl.autoFailoverSettings.maxCount}}
X
The maximum number of nodes have been automatically failed over.
Auto-failover is disabled until you reset it.
Reset Auto-Failover
Difficulties communicating with the cluster. Displaying cached information.
{{alert.msg}}
X


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LOCALHOST = <test_ospl.TestNode instance at 0x7fcdf88c>
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Check the TestScenario requirements can be satisfied by the TestRun it is within. If it can't it will throw an error and the scenario should be recorded as skipped. |
Gets a new node definition from the scenario. Will be a new node iff the scenario has enough for it to be so. |
Returns a unique port. Used to make soure Process instances' IPC can be initialised in a non conflicting manner. |
Get the default working directory for this scenario on the given Node. Assumes this scenario directory is under the usual test root and is named as per convention. |
Checks the requirements of the whole TestScenario are met by the TestRun it is within. Will actually have build and load the test processes in some embedded circumstances if there's no other alternative. Scenario should exit if this does not return True. No changes should be made to the scenario after this. |
Specify that this test scenario requires a *minimum* number of nodes to do its thing. The default is 1 i.e. single node. If your test cannot operate at all on one node specify an appropriate higher value. Do *not* specify a higher value just because the test is less meaningful on less. Keep this value as low as possible. |
| Home | Trees | Indices | Help |
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| Generated by Epydoc 3.0.1 on Thu Sep 30 13:48:07 2010 | http://epydoc.sourceforge.net |


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Workplace Gender Equality
How the pandemic has affected women workers and professionals
- Pandemic has made pre-existing gender disparities worse
- Women make up 46% of the labor force before pandemic, but account for 54% of job losses
- Women quit their jobs or cut down on their hours in order to provide childcare
- McKinsey report indicates that women who have children <10 AND are part of families where both parents work, these women 2x more likely than their male counterparts to spend five additional hours each day on household responsibilities than pre-pandemic
- Women of color, particularly Black, Latina, and Native American, are disproportionately affected due to their work in industries that do not allow for the flexibility of work from home—like caretaker work
- More of these women tend to be single moms so they have to quit their jobs to help take care of family
Even for women who do telework, challenges remain:
- Research shows that women are managing most of the home schooling efforts -- Difficult to juggle with work demands
- In ABA report from last year, 54% of women surveyed indicated that arranging childcare was their full responsibility, whereas 1% of men surveyed reported same
- Yet law firms’ billable hour requirements have stayed the same
- McKinsey report shows that less than 1/3 of companies have changed their performance review criteria.
- While performance requirements haven’t changed, it’s become harder to meet them
- Women get less face time with their team manager or head partners, and with clients, which in turn means more layoffs and less women in positions of power to help promote and sponsor other women
- Research shows that women are managing most of the home schooling efforts -- Difficult to juggle with work demands
While pandemic is unprecedented event, the negative economic impact on women is not new. We know that recessions in the legal industry tend to harm women more than men
- According to a 2019 research paper by the American Bar Association, women make up 45% of entering law firm classes at top 200 law firms, yet women represent 25% of all AmLaw 200 equity partners
- In 2017, only 28% of lateral partners hired were women (ABA)
- Women make up less than 25% of management committee members, practice group leaders, and office heads
- Same article indicates that there will be no gender parity in equity partnership until 2181
- And women attorneys—whether a partner or associate—tend to be staffed on lower billing cases, not be chosen as trial first chairs and not be lead attorney on corporate deals.
- How do we keep the pandemic from reversing the progress made toward gender equality?
- Asking husbands, partners to help out with childcare and other home-related efforts
- Asking your firm for flexible work schedule
- Seek out cases that have high hourly billing rates—like antitrust matters, MDL, corporate MA, and private equity type cases


Select the checkbox to use the Jenkins server workspace path and IP address as the description for all new applications you create.
For example: Jenkins-URL: http://localhost:8080/ Host-Name: user-1234 Workspace-Path: C:\jenkins\jobs\<job-name>\ (Auto-generated by Veracode Jenkins Plugin)


These stores will be closed on Thanksgiving
by Jenn SavedgeSeveral years ago, big-box giant Walmart surprised the country by announcing its Black Friday sales would start on Thanksgiving night. Die-hard Black Friday shoppers cheered the decision, while die-hard turkey day enthusiasts claimed the move destroyed the meaning of the Thanksgiving holiday and forced both employees and customers to abandon their families.
The two sides have battled ever since, as more and more stores have jumped on the early-sales game. But the tide might finally be turning. In recent years, a number of stores have announced they will be closed on Thanksgiving Day. And at least one is taking things even further, remaining closed for Black Friday, too.
According to Bestblackfriday.com and TheBlackFriday.com, these stores will keep their doors closed on Thanksgiving Day 2019:
- Army and Air Force Exchange Service
- Abt Electronics
- Academy Sports + Outdoors
- Ace Hardware
- Acme Tools
- Allen Edmonds
- American Girl
- Ann Taylor
- At Home
- AT&T (only some locations)
- Barnes & Noble
- Bealls Florida
- Big 5 Sporting Goods
- BJ’s Wholesale Club
- Blain’s Farm & Fleet
- Bloomingdale's
- Bob’s Discount Furniture
- Burlington Coat Factory
- Campmor
- Christmas Tree Shops
- Christopher & Banks
- Cost Plus World Market
- Costco
- Craft Warehouse
- Crate and Barrel
- Dillard’s
- DSW
- Fred Meyer
- Guitar Center
- H&M
- Half Price Books
- Harbor Freight Tools
- Hobby Lobby
- The Home Depot
- HomeGoods
- IKEA
- Jo-Ann Stores
- Jos. A Bank
- La-z-boy
- Lamps Plus
- Lowe’s
- Marshalls
- Mattress Firm
- Menards
- Micro Center
- Mills Fleet Farm
- Music & Arts
- Neiman Marcus
- Nordstrom
- Nordstrom Rack
- Office Depot & OfficeMax
- P.C. Richard & Son
- Patagonia
- Petco
- PetSmart
- Pet Supplies Plus
- Pier 1 Imports
- Publix
- Raymour & Flanigan Furniture and Mattresses
- REI
- Sam’s Club
- Sears Outlet
- Sierra Trading Post
- Sportsman’s Warehouse
- Staples
- Stein Mart
- Sur La Table
- The Container Store
- The Paper Store
- TJ Maxx
- Tractor Supply Co.
- True Value
- West Marine
Family time (and online shopping) rule
Many companies have offered similar explanations for keeping stores closed on Thanksgiving Day. Store managers want their employees and customers to have time to spend with their families, time that's not interrupted because an employee has to go to work or because a shopper doesn't want to miss out on holiday sales. That's a message many shoppers will likely reward when stores do open on Black Friday.
In 2015, outdoor retailer REI bucked the holiday shopping trend even further by announcing all of its stores would be closed on Thanksgiving and also on Black Friday. Instead, REI encouraged its employees and customers to #OptOutside, for a weekend connected with family and nature. That move resulted in 1 million new memberships for the store.
According to a poll conducted by BestBlackFriday.com, almost 72% of shoppers think stores should be closed on Thanksgiving Day. This coincides with a report released several years ago that found shopping at brick-and-mortar stores had decreased on both Black Friday and Thanksgiving Day.
With Americans reluctant to give up their post-turkey family time in search of the best deals, and with many stores now offering "doorbuster" sales online, it's no wonder cybershopping has become the name of the game for the holiday season. While foot traffic decreased at many stores on Black Friday in past years, Adobe reported that online Black Friday sales brought in $6.2 billion in online sales in 2018, a growth of 23.6% from 2017.
The trend to lure shoppers in early by kicking off Black Friday sales on Thanksgiving Day may finally be turning, as more shoppers are skipping the crowds and doing their shopping — no matter the day — from home.
Editor's note: This article has been updated with new information since it was originally published in November 2017.


UX Engineer, hybrid profile between Front-end development and UX design focused on all steps from research to interaction. Moving on for more than 15 years in the Digital industry. Looking for new opportunities and challenges.
Can work with wireframes, user flows, prototyping, testing, usability and overall experience of the application works for the end-user. I have experience in facilititation and also in teaching, I was Teacher Assistant at UX/UI Design Part Time Bootcamp in Madrid. Experience working with Sketch, Figma or AdobeXD.
I studied philosophy so my first approach always comes from this area. I like very much anthropology and sociology, as a result before starting any project, I make a lot of research in these areas to understand product, customer and user better. I do a lot of sketching before jumping to UX methodologies, CUALITATIVAS Y CUANTITATIVAS / EJEMPLOS
I come from the background of Display Advertising where I worked in Digital Agencies first, and then on Adserving as Ad Specialist. For more than 8 years my work was giving support to creative and media agencies. This involved production, design, coding, support, trainings and workshops, documentation, creation of new Ad Formats and campaign coordination, giving support for the most known Advertisers and more than 200 agencies in Spain, Europe and Latam markets. I can animate for UX using tools as Principle or After Effects. I am an expert on Adobe AnimateCC, Google Web Designer and can animate also by code using libraries such as Gsap, Velocity, Anime or Pixi. I am using also last trends on svg animation.
I have worked for events such as "El Ser Creativo" or "Mobile World Congress". Also can shoot for modeling, but my main approach is for landscape photography where I have won several awards. Also I am a Stock Photo Contributor


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Web3JS enables communication between the NodeJS server and the Ethereum Blockchain/RPC client.
This API is used for getting the conversion rate for ETH-GBP in real time.
TestRPC is a tool that creates a simulated version of the Ethereum Blockchain. TestRPC is a public tool and library, but we are making use of a customised version of this RPC client. We have increased the gas limit from 4 million gas to around 10 million gas and the number of available accounts (wallets) from 10 to 201 (one controller account and 200 that can be used by the users). We have also changed the default ETH balance from 100 ETH (approximately 350 GBP) to approximately 10 000 000 000 ETH (approximately 35 billion GBP) to allow for comprehensive testing and debugging.
In the actual project, TestRPC would be replaced by the real Ethereum Blockchain and the use of ETH would be replaced by GBP. ETH would only be used for processing and completing transactions which will take from 5 up to 20 minutes, meaning changes in conversion rate should have almost no effect on the user (we expect no steep changes in a 5-20 minutes time period). Both the user and the company would have GBP balances.
We used nodemon for running the server application. This enables easy restarting of the server in case of crashing due to an error.
Digital Ocean’s virtual machine (droplet) hosting services were used to host our application.
The DNS routing, browser caching (4 hours caches), server caching, encryption, the SSL certificate, HTTPS enforcing, firewall, traffic management, access rules, static pages and DDoS protection is provided by Cloudflare.
Angular is a JavaScript framework that allows for $scope variables and, therefore, a direct interaction with the DOM. We chose this framework because of its fast and simple connection with the Firebase database through the AngularFire library.
We based our smart contracts on the Zeppelin Solidity library to ensure that they were safe. Zeppelin Solidity is a library for writing secure Smart Contracts on Ethereum. The library allows you to build distributed applications, protocols and organizations using common contract security patterns (See Onward with Ethereum Smart Contract Security) in the Solidity language.
We used bootstrap on the front end to facilitate some design processes. This library provides css classes for different elements (eg. buttons, forms etc.).
Angular Fire is a powerful Angular JS library that make querying the Firebase database easier. With simple methods such as $firebaseObject() and $firebaseArray(), we could easily store database information in $scope variables, ready to use in the AngularJS logic and in the HTML front-end.
ExpressJS was used for routing and HTTP requests handling. ExpressJS is essential for communicating with the AngularJS web app.
SolC was used for compiling the contract after parsing them
Eth-new-contract is used for deploying contracts to the Blockchain/RPC client via the Web3JS API.
Locks are Asynchronous locks used for locking reading and writing of files.
Body-parser is a parsing middleware used for JSON parsing of the date in the HTTP requests.
We chose to use the Ethereum blockchain as it specifically focused around smart contracts, and that was exactly what we needed to use for this project. Furthermore, it allowed us to create a local blockchain and there were many libraries that supported Ethereum in general.
We used Solidity to write the smart contracts since it was the language that ethereum required. Furthermore, since it is similar to JavaScript which we knew before it was easier for us to understand how to read and write code.
The Web3JS API is the mainstream option for Ethereum development. After discussing with our client, discussing with our internal supervisor and with Mr. Hirch, as well as after doing our own research, we decided to go aong with Web3JS.
We chose to use TestRPC as it seemed the most reliable client to run our local blockchain and tools on, and once again it worked together with Ethereum.
We chose the Angular JS framework because it makes a strong and reliable couple with the Firebase services, thanks to Angular Fire. This is a framework developed by Google that allows powerful communication between the two.
We chose to use Firebase because it provides all the services we need into one unique console. The great advantage is that is brings everything together. We have compared this with using separate systems such as the AWS or Microsoft products but nothing came near to Firebase's simplicity and organisation. An example of this is that Firebase allows us to perform operations on users from the front end of the console. We can easily delete, add or reset's a user's password with a couple clicks. Furthermore, the basic Firebase package is free of cost.
We used Truffle as it provided us with the ability to build a decentralized app and connect a front-end to the smart contracts. Even though we were not able to use this feature due to the nature of how web frameworks like AngularJS work, it was useful in the testing phase for checking if the smart-contracts alone worked, if they are secure and also to write automated tests for the system.
A NodeJS webserver was at no point in the first term meant to be used in our project. The plan was to use Truffle which is the mainstream development enviroment for Solidity.
After the beggining of term 2, we encountered massive issues with integrading Truffle in our project (even though we succesfully used Truffle for the writting and testing of contracts). Looking for alternatives, the only reasonable option was the use of a NodeJS server that communicates with the front-end via HTTP requests managed by ExpresJS.


Formatting Argument Values
FakeItEasy tries to provide helpful error messages when an Assertion isn't met. For example, when an expected call to a fake method isn't made, or when an unexpected call is made. Often these messages are adequate, but sometimes there's a need to improve upon them, which can be done by writing custom argument value formatters.
FakeItEasy's default formatter behavior
Unless custom formatters are provided, FakeItEasy formats argument values like so:
- the
null
value is formatted asNULL
, - the empty
string
is formatted asstring.Empty
, - other
string
values are formatted as"the string value"
, including the quotation marks, and - any other value is formatted as its
ToString()
result
There is no way to change FakeItEasy's behavior when formatting
null
, but the other behavior can be overridden by user-defined
formatters.
Writing a custom argument value formatter
Just define a class that extends FakeItEasy.ArgumentValueFormatter<T>
. Here's a sample that formats argument values of type Book
:
class BookArgumentValueFormatter : ArgumentValueFormatter<Book>
{
protected override string GetStringValue(Book argumentValue)
{
return string.Format("'{0}' published on {1:yyyy-MM-dd}",
argumentValue.Title, argumentValue.PublishedOn);
}
}
This would help FakeItEasy display this error message:
Assertion failed for the following call: SampleTests.ILibrary.Checkout() Expected to find it never but found it once among the calls: 1: SampleTests.ILibrary.Checkout(book: 'The Ocean at the End of the Lane', published on 2013-06-18)
which could make tracking down any failures a little easier.
Compare to the original behavior:
Assertion failed for the following call: SampleTests.ILibrary.Checkout() Expected to find it never but found it once among the calls: 1: SampleTests.ILibrary.Checkout(book: SampleTests.Book)
In the original form of the message, the Book argument is just
formatted using Book.ToString()
because FakeItEasy doesn't know any
better.
How it works
FakeItEasy uses classes that implement the following interface to format argument values:
public interface IArgumentValueFormatter
{
string GetArgumentValueAsString(object argumentValue);
Type ForType { get; }
Priority Priority { get; }
}
GetArgumentValueAsString
does the work, transforming an argument into its formatted representation.
ForType
indicates what type of argument a formatter can format.
Priority
is discussed below.
Above, we wrote a formatter in the preferred way, by extending
abstract class ArgumentValueFormatter<T>:
IArgumentValueFormatter
. ArgumentValueFormatter<T>
defines a
GetArgumentValueAsString
method that defers to GetStringValue
, and
its ForType
method simply returns T
. The default implementation of
Priority
returns Priority.Default
(equivalent to value 0
), but
this can be overridden. It's possible to write a formatter from
scratch, but there's no advantage to doing so over extending
ArgumentValueFormatter<T>
.
It's possible to create formatters for any type, including concrete types, abstract types, and interfaces. Formatters defined for base types and interfaces will be used when formatting values whose types extend or implement the formatter's type.
Resolving formatter collisions
It's possible for a solution to contain multiple formatters that would
apply to the same types of arguments. In fact, it's guaranteed to
happen, since FakeItEasy itself defines a formatter that applies to
object
s and one that applies to string
s. Any user-defined
formatter will conflict with at least the built-in object formatter,
and maybe others. When there is more than one candidate for formatting
an argument, FakeItEasy picks the best one based on two factors:
- the distance between the argument's type (hereafter ArgType) and the type each formatter knows about (hereafter ForType), and
- the value of each formatter's
Priority
property
Lowest distance
When an argument value needs to be formatted, FakeItEasy examines all known formatters whose ForType is in ArgType's inheritance tree, or whose ForType is an interface that ArgType implements. The distance between ForType and ArgType is calculated as follows:
- 0 if ForType and ArgType are the same
- 1 if ForType is an interface that ArgType implements
- 2 if
ForType == ArgType.BaseType
, - 3 if
ForType == ArgType.BaseType.BaseType
, and so on, adding one for every step in the inheritance chain
The formatter whose ForType has the smallest distance to ArgType is used to format the argument.
Highest priority
Sometimes more than one formatter is found the same distance from
ArgType. Maybe two formatters actually specify the same ForType
property value, or there's a formatter defined for ArgType as well as
for an interface that ArgType implements.
When multiple formatters have the same distance from the argument,
FakeItEasy will select the one with the highest Priority
property
value. If multiple formatters have the same distance and the same
priority, the behavior is undefined.
All classes that extend ArgumentValueFormatter<T>
have a Priority
property that returns Priority.Default
, unless they explicitly
override it. However, the formatters that FakeItEasy includes have a
Priority
lower than Priority.Default
, so unless two user-supplied
formatters apply to the same types, and yield the same distance when
applied to a type, there's no need to override the Priority
property.
How does FakeItEasy find Argument Value Formatters?
On initialization, FakeItEasy looks for Discoverable Extension Points, including Argument Value Formatters.


In March 2019, Missing Maps member CartONG carried out a 2-week mission in Burkina Faso in support of the Yaam Solidarité association. Here is a look back at the mobile data collection and mapping support we provided and the collaborative and sustainable approach we implemented.
Many cities in the developing world are experiencing rapid and uncontrolled urban growth, characterized by the development of “spontaneous settlements” (also called “non lotis” in Francophone Africa) in which populations live in very precarious situations. Built out of the formal and legal process of urbanization, these informal settlements often do not appear on official maps and databases. As a result, they do not benefit from basic services and adequate urban improvements, making their inhabitants all the more vulnerable to climatic hazards, natural disaster risks and health crises.
Collaborative mapping, open data and new “low tech” geographic information technologies represent a real potential to meet these challenges and make these new districts visible on the map. In particular, these solutions can play a key role in the implementation of projects to improve the living conditions in informal settlements and neighborhoods, and to ensure the involvement of local communities. This approach is at the heart of the technical support that CartONG’s Missing Maps team provided to the local association Yaam Solidarité, in the informal urban district of Boassa, located on the outskirts of Ouagadougou.
Since 2010, Yaam Solidarité has been running a project in Boassa to improve housing and living conditions, which is supported by the French association Craterre and funded by the Abbé Pierre Foundation. To provide adequate technical support and carry out this project, CartONG mobilized its volunteer community and worked closely with the OSM community in Burkina Faso.
In the first phase of the project, CartONG organized 8 mapathons in Lyon, Grenoble, Saint-Etienne, Paris and Chambéry, which brought together more than 140 e-volunteers. Together, we mapped more than 46,500 structures and 418 kilometers of roads on OpenStreetMap. As with all of our projects, the data produced during the mapathons was then validated by a team of experienced volunteers to ensure the its quality.
At the end of this first stage, the Boassa district was finally visible on a map, which was then enriched during the second phase of the project that took place on site in Ouagadougou.
The second phase of the project consisted of completing the Boassa map with the support of Yaam Solidarity members and the local community and setting up a first database of the area - which implied training all of them in data collection in the field.
To this end, we opted for free and open source tools that can work offline and applications that are easy to use in order to include and train as many participants as possible, especially local residents, and also in order to encourage their concrete involvement in this phase of the project. Within 2 weeks, more than 20 people participated in the workshops conducted on site.
Participants were trained in using OsmAnd and OSM Tracker for geographic data collection, as well as Kobo Toolbox for conducting household surveys. Several field trips also made it possible to collect more than 150 points of interest (roads, water points, community facilities, etc.) which were then added to the OSM database.
These data collection workshops proved to be a real opportunity to promote collaboration between the local association, members of the neighborhood committee, residents, young students and OSM members, and to promote everyone’s knowledge and experience, while allowing them to take better ownership of the project and greater control over their territory and its related challenges.
All the data produced during the 8 mapathons in France and the data collected in the field were added to the free and contributory platform called OpenStreetMap. On OSM, the data is stored permanently and is accessible to everyone; and it can be extracted to produce, among other things, thematic or analytical maps.
As part of the workshops held on site, Yaam Solidarity members were trained in data manipulation on OSM so that they would be able to continue mapping their neighborhood and enrich the database independently of the presence of another actor such as CartONG, and over the long term. This wonderful source of information now makes the inhabitants of the informal district of Boassa visible on the map, as well as the economic activities and initiatives that exist locally. It also highlights other more problematic aspects such as the lack of access to basic services, the risks in terms of accessibility of emergency services, or the evolution and changes in public spaces.
At the same time, the Yaam Solidarity association, which works on the spot, can now use this map to call out public authorities or potential donors to address the existing issues in the area. The map will also be used to raise awareness among residents to better plan the urbanization of the district, protect themselves from high-risk areas or preserve road spaces in an effort to ensure a certain quality of life in the district.
The project launched with Yaam Solidarité in 2019 should continue as part of a longer-term program from next year on. In addition, this type of initiatives is likely to be replicated. CartONG is already in contact with other NGOs that would also like to improve their capacities in the production and management of information as part of projects to make living conditions in informal neighborhoods better. Feel free to contact us if you would like to collaborate with us on this subject!


I have not written for almost two weeks now. Half of the reason is because of writer’s block, another half because school is crazy, and a third half because of some family issues that came up unexpectedly. I opened up my blog a few times with intention to write, but I could not get anything to form. But that’s okay. It gave me time to reflect on other’s posts and thoughts while trying to get all of mine to fit in my head.
There has been a lot happening with the Flipped Classroom recently…almost too much to list. For example:
Plus, dozens of articles on the flipped classroom.
As I have been reading and following articles and discussions, one thing stood out: the prevailing description of the flipped classroom is “videos at home, ‘homework’ in school.” And this bothers me.
The biggest complaint I hear from flipped class skeptics is that it still relies on homework and technology use. Any ideology that relies on any one tool is doomed. If your class relies on textbooks and kids do not bring their book, what will you do with no redundancy built in?
What is missed in so many articles on the flipped classroom is the fact that it does not rely on homework or video. That is simply one iteration of a larger process.
I have a flipped classroom, but I do not assign homework nor do I require students to watch lecture videos. What I do expect students to do is drive their own learning rather than relying on someone else (me) to crack the whip behind them. That is what the flipped classroom is about…reversing the learning roles. Not the video. Not the technology.
If you are a flipper, I want to encourage you to change the discussion focus from video to how we can better support student learning in a flipped classroom. What works well for you? What did not work well for you? How has your teaching changed since flipping? I do realize that video is a great tool in flipping, but it really is the smallest part of the puzzle and does not accurately represent the whole picture. If we want to move forward, we need to start having more deeper, connective conversations with other educators, just like we try to with our students.
Written on April 30th, 2012 by Brian Bennett Categorized in: All Flipclass
Leave a comment


| Non-pharmaceutical interventions |
Announcing the potential of human-to-human transmission |
| Lockdown of Wuhan and other adjacent cities in Hubei province |
| Imposing restrictions on all social activities |
| Enforcing national and international travel restrictions |
|
|
| Clinical characterization and epidemiologic advances |
Comprehensive characterization of the viral ultrastructure |
| Revealing the route for SARS-CoV-2 transmission (including fomite transmission) |
| Defining the clinical and epidemiological characteristics of COVID-19 |
| Demonstration of the immune regulation network of COVID-19 |
| AI prediction of the epidemics trend of COVID-19 under public health interventions |
|
|
| Therapeutic interventions |
Validation of the efficacy and safety of repurposed drugs, especially traditional Chinese medicines (Lianhuaqingwen capsule, Xuebijing injection, and Liu Shen capsule), for accelerating symptom recovery |
| Validation of the efficacy and safety of H
2–O
2 inhalation and endorsement by the National Health Commission of the People’s Republic of China for COVID-19 patients with dyspnea or those in facilities without sufficient oxygen supplies
|
| Validation of the efficacy and safety of granulocyte colony stimulating factor for patients with marked lymphopenia |
|
|
| Diagnosis |
Development of PCR- and serology-based rapid detection method |
| Development of the portable, laboratory-instrument-independent CRISPR/Cas method for detection |
|
|
| Prognostic prediction |
Identification of hematologic and immunologic biomarkers that correlate with the disease severity |
| Establishment of AI model to predict the likelihood of developing into critical illness |


QualCoder 1.7
2020 January 1
Depends on python 3.x, pyqt5 lxml Pillow ebooklib ply chardet pikepdf pdfminer.six
VLC should also be installed.
Tested on: Linux Mint 18.04, Ubuntu 19.04, Lubuntu 18.04, partly tested on Windows 10 and Mac OS
Ronggui Huang and Zhang Gehao for creating RQDA, which inspired this software.
Mike MacCana for the source code for the docx module.
User: bit4 on stackoverflow who presented the source code to convert html to text.
Pdfminer3k: Copyright (c) 2004-2010 Yusuke Shinyama <yusuke at cs dot nyu dot edu>
ebooklib: Aleksandar Erkalović (https://github.com/aerkalov)
The VideoLAN team for the bindings to VLC
To various members on github for supporting this project.
The qda data folder contains folders for imported documents, images, audio and video. It also contains the sqlite database, named data.qda, to store coding data.
QualCoder creates a .qualcoder folder inside your home directory. This contains QualCoder.log, config.ini (for settings) and recent_project.txt (for automatic loading of the most recent project). The config file contains the name of the current coder, a default working directory and choice of font.
QualCoder is written in python 3 using Qt5 for the graphical interface.
MIT License
Copyright (c) 2020 Colin Curtain
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


4 Options for handling line breaks within each selected highlight by the user (a few words, or a few paragraphs... whatever user selects as a single highlight)
Set to 1 (Default) if you want line breaks (e.g., each paragraph) to create new bullets at same hierarchy/level
Set to 2 if you want line breaks (e.g., each paragraph) to create new bullets, but nested underneath the first "paragraph" in the highlight
Set to 3 if you want line breaks (e.g., each paragraph) to be in same bullet with Ctrl + Shift "soft line breaks" like Ctrl+Shift+V does in browser pasting
Set to 4 if you want line breaks (e.g., each paragraph) to be replaced with a "space" and simply concatenated into a single bullet and without any line breaks


Residential Openers
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Kim Junsu greets viewers for the first time in 10 years on Korean terrestrial broadcasting in preview for 'House of Sharing’'
by soumSinger/musical actor Kim Junsu is slated to return to Korean terrestrial broadcasting for the first time in ten years. The former TVXQ member is slated to appear on the pilot episode of MBC's reality show 'House of Sharing'.
Junsu mentions in the preview of 'House of Sharing', how it feels to be on TV after so many years and how it's like to live alone in a big house. Also that he doesn’t really care too much how he looks to other people and that he is a lot more easy-going than people think and more.
'House of Sharing' is scheduled to broadcast at the beginning of December.
Translation credits: @xianonymoose


Thank you for participating in our experiment!
TO DO - Insert experiment description here...
Press [Space] to start the practice trials.


The Gift * * * (out of * * * * )
Directed by Sam Raimi. Cast: Cate Blanchett, Greg Kinnear, Giovanni Ribisi, Katie Holmes, Hilary Swank, Keanu Reeves, Kim Dickens, Gary Cole, Michael Jeter, J.K. Simmons, Rosemary Harris, Chelcie Ross, John Beasley, Danny Elfman. 2000 - 111 minutes Rated R (for violence, profanity, sexual situations, and nudity). Reviewed by Dustin Putman, January 20, 2001.
Gothic murder-mystery yarns are not a new conceit. In fact, they've been around in books and on film for many, many years. Without the proper handling, they come off as old-fashioned, bland, and outdated. "The Gift," directed by Sam Raimi, is a tried-and-true effort that surprises very little, and includes everything from a wide array of suspects and red herrings, to mansions in the deep south with moss trees out front, to the eventual discovery of a waterlogged corpse found in a nearby pond. It's fairly obvious who the killer is; in fact, I predicted who it would be before the movie began and was correct in my preliminary suspicions. The film ultimately shouldn't work, but it does, thanks to a sparkling cast that fills each character with so many memorable nuances, the most fun to be had is in simply watching the people interact with each other.
Annie Wilson (Cate Blanchett) is a recently widowed mother of three sons who makes her living giving psychic readings to the residents of her backwater southern hometown.  For Annie, she does not give the readings merely for money, but uses it as a way of seeking solace in finding the good in everyone's future. Her late grandmother (Rosemary Harris) told her as a child that it was a gift she was given, and she should always remember that.
When Annie's eldest son is involved in a fight at school, she meets the nice-guy school principal, Wayne Collins (Greg Kinnear), whom she finds herself attracted to. But Wayne is engaged to the wealthy Jessica King (Katie Holmes), whom Annie immediately gets a negative vibe about. At a party with her best friend Linda (Kim Dickens), Annie stumbles upon Jessica in a compromising position with lawyer David Duncan (Gary Cole). Soon after, Jessica has disappeared, leaving everyone in a frenzy over what could have possibly happened to her, and Annie starts to have nightmares and apparitions linking Jessica with the vicious redneck Donnie Barksdale, and the pond behind his home.
"The Gift" may be cliched on a sheer storytelling level, but the performances and tight direction from Raimi (who has redeemed himself for his embarrassing last film, 1999's "For Love of the Game") lift the picture up several notches. Slowly enveloping the viewer into the many intriguing characters and their individual plights, the disappearance of Jessica at the 30-minute mark divulges the movie's true intentions and transforms the proceedings into a taut, at times frightening, horror-mystery.
At the center of the film is the exceptional Cate Blanchett (1999's "The Talented Mr. Ripley"), who turns Annie Wilson from what could have been little more than a run-of-the-mill protagonist into a very exact, down-to-earth, realistic person with valid troubles and a caring attitude towards those around her. Blanchett takes the unextraordinary material and runs with it, giving the entire film a truly classy aura that it otherwise might not have had. We follow her at every turn because she is so mesmerizing, both as a character and an actress.
Blanchett isn't the only bright performer, as she is ably supported by one of the best casts of the year. In her first role following her Oscar win for 1999's "Boys Don't Cry," Hilary Swank is excellent as the confused Valerie, who seeks guidance from Annie, but is too scared to take her biggest advice of all: to leave the grossly abusive Donnie. As Donnie, Keanu Reeves (2000's "The Watcher") makes an utterly convincing backwoods meanie, so much so that it is difficult to believe he is an actor at all. For the often-criticized Reeves, whose acting abilities have never been the best, this is the biggest compliment he could possibly get, and it is also one of the better performances he has given. Giovanni Ribisi (2000's "The Boiler Room") is heartbreaking as a mentally slow young man who sees Annie as his only friend, and wants her to do nothing but help him understand why he is being plagued by bad dreams about his dad. In the small, but pivotal role of the sleazy Jessica King, Katie Holmes (2000's "Wonder Boys") has turned in yet another stunning supporting turn. Her promiscuous role of Jessica is one she has never played before, and she is radiant in her few scenes. Finally, Kim Dickens (2000's "Hollow Man") makes her usual strong impression as Annie's spicy best friend, Linda.
The other notable aspect of "The Gift" is its moody atmosphere that lays such a thickly foreboding air over every scene it's almost suffocating. Thanks to cleverly construed editing by Arthur Coburn and Bob Murawski, and the successful use of different eerie sounds effects and a very good music score by Christopher Young, the movie not only achieves a scary undercurrent, but one that is filled with dread. Helped along by a strong screenplay by Billy Bob Thornton and Tom Epperson, which makes the most of its setting and delightful cast, "The Gift" is that rarest of thrillers that actually thrills, and offers up a fair share of chills, too. It may not be groundbreakingly original, but it sure is an entertaining ride for the duration of its running time.
- Copyright 2001 by Dustin Putman http://us.imdb.com/ReviewsBy?Dustin+Putman http://www.atnzone.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


RT @RussellSkaggs: I believe the correct pronunciation of GIF, is "Oops I meant to export as PNG". #GIF #PNG
5/23/2013, 6:50:16 PM
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link--- layout: tweet ---
RT @RussellSkaggs: I believe the correct pronunciation of GIF, is "Oops I meant to export as PNG". #GIF #PNG
5/23/2013, 6:50:16 PM
Favs: 0
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link


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Paul Adenot, @padenot &&<EMAIL_ADDRESS>$ hg log -r : -l 1 content/media/webaudio changeset: 104061:ee9b17600025 user: Ehsan Akhgari<EMAIL_ADDRESS>date: Fri Aug 31 16:59:37 2012 -0400 summary: Bug 775302 - Stub out the implementation of mozAudioContext; r=bzbarsky,khuey
816 commits so far, feature complete implementation, landed in Firefox 25 (2013-10-29).
Commit time repartition:
What does the spec tell us?
[...] A high-level JavaScript API for processing and synthesizing audio in web applications. The primary paradigm is of an audio routing graph, where a number of AudioNode objects are connected together to define the overall audio rendering.http://webaudio.github.io/web-audio-api/index.html#abstact
var ac = new AudioContext();
ac.decodeAudioData(ogg_arraybuffer, function(audiobuffer) {
var source = ac.createBufferSource();
source.buffer = audiobuffer;
var d = ac.createDelay()
var osc = ac.createOscillator();
osc.type = "square";
osc.frequency.value = 100; // Hz
var g = ac.createGain();
source.connect(d);
source.connect(ac.destination);
d.connect(ac.destination);
g.connect(d);
d.connect(g);
osc.connect(g);
});
ArrayBuffers
MediaStreamAudioSourceNode
, from WebRTC, getUserMedia
, etc.AudioBufferSourceNode
to play a raw PCM audio bufferOscillatorNode
to play predetermined waveforms ScriptProcessorNode
(with no input) to generate arbitrary waveforms using JavaScriptMediaElementAudioSourceNode
to pipe the audio from <audio>
or <video>
in Web AudioGainNode
: Change the volumeDelayNode
: Delays the input, in timeScriptProcessorNode
(with both input and output connected): arbitrary processingPannerNode
: Position a source and a listener in 3D and get the sound panned accordinglyChannel{Splitter,Merger}Node
: Merge or Split multi-channel audioConvolverNode
: Perform one-dimensional convolution (e.g. church-like reverb)WaveShaperNode
: Non-linear wave shaping (e.g. guitar distortion) BiquadFilter
: low-pass, high-pass, etc. (e.g. graphical equalizer)DynamicsCompressorNode
: harmonizes audio levelsMediaStreamAudioDestinationNode
: Outputs to a
MediaStream
(send to a PeerConnection
, a
MediaRecorder
)AudioDestinationNode
: Outputs to speakersScriptProcessorNode
: arbitrary processing on input audioAnalyserNode
: Get time-domain or frequency-domain
audio data, in ArrayBuffer
sAudioContext
in workers, so ScriptProcessorNode
can actually work properly.


{% extends "base.html" %} {% block feeds %} {% endblock %} {% block title %}{{ flatpage.title }}{% endblock %} {% block content %}
What is the purpose of nuSPIC?
the connection and its inputs
the output of recorded neurons.
network with your assumption.
your idea with other users.
{{ flatpage.content }}
{% for news in news_list %}


The Output Console displays the command line calls and raw output from the tools which Slips7ream uses. You can access the Output Console by clicking the down-pointing chevron in the circle in the bottom left corner of the interface.
The console has its own miniature title bar which can be dragged away from the rest of the Slips7ream interface to pull it out into its own window. This window can be resized and docked on any side of the Slips7ream interface for easier reading in cases of technical issues. Closing this window or clicking the now up-pointing chevron in the circle will hide the Output Console once again, but will not clear the contents.
If you want to clear the Output Console, just right-click its contents and hit the "Clear" menu item. You can also select and copy the contents (or just the commands without the output) of the console through the context menu. This can be especially helpful if you wish to make a quick batch script or reproduce steps later.
See Also: Hide Driver Console Output


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/import.20foo-bar.html ---
Is it possible to import a file with a dash in the file name?
This should work:
import «file-with-a-dash»
cool thanks, works like a charm.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


| check_details | Query R CMD check results and parameters |
| compare_checks | Compare a set of check results to another check result |
| compare_to_cran | Compare a check result to CRAN check results |
| cran_check_flavours | Download and show all CRAN check flavour platforms |
| cran_check_results | Download and parse R CMD check results from CRAN |
| parse_check | Parse 'R CMD check' results from a file or string |
| parse_check_url | Shorthand to parse R CMD check results from a URL |
| print.rcmdcheck | Print R CMD check results |
| print.rcmdcheck_comparison | Print R CMD check result comparisons |
| rcmdcheck | Run R CMD check from R and Capture Results |
| rcmdcheck-config | rcmdcheck configuration |
| rcmdcheck_process | Run an R CMD check process in the background |
| xopen.rcmdcheck | Open the check directory in a file browser window |