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Definition of the DebugWindow class. Please minimize
dependencies this file has on other closure classes as any dependency it
takes won't be able to use the logging infrastructure.
Provides a debug DebugWindow that is bound to the goog.debug.Logger.
It handles log messages and writes them to the DebugWindow. This doesn't
provide a lot of functionality that the old Gmail logging infrastructure
provided like saving debug logs for exporting to the server. Now that we
have an event-based logging infrastructure, we can encapsulate that
functionality in a separate class.


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{% extends "base.html" %} {% block title %}Newsletter{% endblock %} {% block content %}
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Elaine Thompson Hale
Democrat
National Renewable Energy Laboratory, Senior Research Engineer
Ph.D., Chemical Engineering, University of Texas at Austin M.S., Chemical Engineering, University of Texas at Austin B.S., Chemical Engineering, Georgia Institute of Technology
80401
Chaired Glennon Heights Mennonite Church's pastor search committee Neighborhood book club organizer since 2011
Member of the League of Women Voters
Glennon Heights Mennonite Church, Lakewood, CO League of Women Voters Society of Industrial and Applied Mathematics (SIAM) INFORMS
I want democracy to work, and that can only happen if people feel that their vote matters, and they have real choices. It also can only happen if people, myself included, choose to engage the democratic process. I am grateful that Colorado is seeking to implement this less/non-partisan process to produce fair districts, and feel I am reasonably well suited to contribute as a citizen representative.
As a collaborative researcher, I have a lot of experience bringing people together to do complex work. Through that experience I have learned how essential it is to be actively inclusive of everyone in the room, while also providing information, direction, and leadership at the right times based on one's own expertise and role. Those lessons were further affirmed when I led my church's pastor search committee. I know the extent and the boundaries of my own knowledge, am happy to listen and learn from others' experiences and expertise, and am keenly interested in fairness and supporting every Coloradan's dignity and opportunity to thrive.
In my profession I propose, lead and contribute to complex computational engineering research projects. These projects result in peer reviewed scientific/analysis publications as well as open source software packages.
female


Gap Earnings: GPS Stock Up 4% on Strong Q3 Results
GPS beat EPS and revenue estimates for the quarter
Gap (NYSE:GPS) earnings for the apparel retailer’s fiscal fourth quarter of 2019 have GPS stock up in after-hours trading on Thursday. This comes after reporting adjusted earnings per share of 53 cents on revenue of $4.00 billion. For comparison, Wall Street was looking for adjusted EPS of 51 cents on revenue of $3.96 billion for the quarter.
Let’s see what else happened during the fiscal Q4 Gap earnings report.
- Adjusted per-share earnings are down 23.19% from 69 cents during the same time last year.
- Revenue is sitting about the same as it was in the third quarter of 2018.
- Operating income of $221 million is a 39.12% decrease YoY from $363 million.
- The Gap earnings report also has net income coming in at $140 million.
- This is a 47.36% drop compared to its net income of $266 million from the same period of the year prior.
Robert Fisher, interim President and CEO of Gap, says this about the GPS stock earnings.
“We are not pleased with the third quarter results and are focused on aggressively addressing the operational issues that are hindering the performance of our brands. We continue to make progress against our separation plans, which will provide improved focus and a further catalyst for transformation.”
The Gap earnings report also has the company reaffirming its outlook for 2019. That includes its adjusted EPS estimate of $1.70 to $1.75. Wall Street is looking for $1.74 for the year.
GPS stock is up 3.58% in after-hours trading on Thursday. The stock closed out the day down slightly. It’s also down 36.78% since the start of the year.
As of this writing, William White did not hold a position in any of the aforementioned securities.


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DatabaseMetaData.getTableTypes
) for a simple user table.
DatabaseMetaData.getTableTypes
) for a view table.
Expression.fromString(String)
or one of the more
specific factory methods.
encode
is used to recursively
print expressions.
TypesHandler.TypesHandler(URL)
typesConfigPath
parameter.
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SST/Macro
|
Classes | |
| struct | incoming_msg |
Public Member Functions | |
| message * | recv (packet *pkt) |
| message * | recv (uint64_t unique_id, int bytes, message *payload) |
| void | print () |
Protected Types | |
| typedef spkt_unordered_map< uint64_t, incoming_msg > | received_map |
Protected Attributes | |
| received_map | bytes_recved_ |
|
protected |
Keys are unique network ID for all messages. Value is the number of bytes receved.
Log packet and determine if parent message has fully arrived
| packet | The arriving packet |


Control Plane Support¶
Control plane functionalities are provides via SDN controllers or via standard IP routing protocols. SDN support is provided by using the NETCONF/YANG protocol for network management, control and telemetry.
Routing is supported via synchronization of the IP FIB and the IP RIB as implemented by one of the routng protocols in FRR. Without loss of generality we have reported below one example of IGP routing via OSPF for IPv6. The VPP IP FIB can be controlled and updated by one FRR routing protocol which is used for routing over locators and also over hICN name prefixes.
NETCONF/YANG¶
Getting started¶
NETCONF/YANG support is provided via several external components such as libyang, sysrepo, libnetconf and netopeer. The hicn project provides a sysrepo plugin and a YANG model for two devices: the VPP based hicn virtual switch and the portable forwarder. The YANG model for the VPP based hICN vSwitch is based the full hICN C API exported by the VPP plugin with the addition of some VPP APIs such as interface and FIB management which are required by the hICN plugin.
To install libyang, sysrepo, libnetconf and netopeer2 for Ubuntu18 amd64/arm64 or CentOS 7 and ad-hoc repository is available and maintained in bintray at https://dl.bintray.com/icn-team/apt-hicn-extras.
For instance in Ubuntu 18 LTS:
Install the sysrepo YANG data store and a NETCONF server.
echo "deb [trusted=yes] https://dl.bintray.com/icn-team/apt-hicn-extras bionic main" \
| tee -a /etc/apt/sources.list
apt-get update && apt-get install -y libyang sysrepo libnetconf2 netopeer2-server
Install the VPP based hICN virtual switch.
curl -s https://packagecloud.io/install/repositories/fdio/release/script.deb.sh | bash
apt-get update && apt-get install -y hicn-plugin vpp-plugin-dpdk hicn-sysrepo-plugin
The hICN YANG models are install under ‘/usr/lib/$(uname -m)-linux-gnu/modules_yang’. Configure the NETCONF/YANG components
bash /usr/bin/setup.sh sysrepoctl /usr/lib/$(uname -m)-linux-gnu/modules_yang root
bash /usr/bin/merge_hostkey.sh sysrepocfg openssl
bash /usr/bin/merge_config.sh sysrepocfg genkey
You can manually install the yang model using the following bash script:
EXIT_CODE=0
command -v sysrepoctl > /dev/null
if [ $? != 0 ]; then
echo "Could not find command \"sysrepoctl\"."
exit ${EXIT_CODE}
else
sysrepoctl --install --yang=path_to_hicn_yang_model
fi
YANG model¶
hicn.yang can be found in the yang-model. It consists of two container nodes:
|--+ hicn-conf: holds the configuration data;
| |--+ params: contains all configuration parameters;
|--+ hicn-state: provides the state data
| |--+ state,
| |--+ strategy,
| |--+ strategies,
| |--+ route,
| |--+ face-ip-params
and corresponding leaves.
A controller can configure these parameters through the edit-config RPC call. This node can be used to enable and to initialize the hicn-plugin in VPP instance. hicn-state container is used to provide the state data to the controller. It consists of state, strategy, strategies, route, and face-ip-params nodes with the corresponding leaves. In the hicn model a variety of RPCs are provided to allow controller to communicate with the hicn-plugin as well as update the state data in hicn-state.
Example¶
To setup the startup configuration you can use the following script:
EXIT_CODE=0
command -v sysrepocfg > /dev/null
if [ $? != 0 ]; then
echo "Could not find command \"sysrepocfg\"."
exit ${EXIT_CODE}
else
sysrepocfg -d startup -i path_to_startup_xml -f xml hicn
fi
startup.xml is placed in the yang-model. Here you can find the content:
<hicn-conf xmlns="urn:sysrepo:hicn">
<params>
<enable_disable>false</enable_disable>
<pit_max_size>-1</pit_max_size>
<cs_max_size>-1</cs_max_size>
<cs_reserved_app>-1</cs_reserved_app>
<pit_dflt_lifetime_sec>-1</pit_dflt_lifetime_sec>
<pit_max_lifetime_sec>-1</pit_max_lifetime_sec>
<pit_min_lifetime_sec>-1</pit_min_lifetime_sec>
</params>
</hicn-conf>
It contains the leaves of the params in hicn-conf node which is used as the startup configuration. This configuration can be changed through the controller by subscribing which changes the target to the running state. hicn yang model provides a list of RPCs which allows controller to communicate directly with the hicn-plugin. This RPCs may also cause the modification in state data.
In order to run different RPCs from controller you can use the examples in the controler_rpcs_instances.xml in the yang-model. Here you can find the content:
<node-params-get xmlns="urn:sysrepo:hicn"/>
<node-stat-get xmlns="urn:sysrepo:hicn"/>
<strategy-get xmlns="urn:sysrepo:hicn">
<strategy_id>0</strategy_id>
</strategy-get>
<strategies-get xmlns="urn:sysrepo:hicn"/>
<route-get xmlns="urn:sysrepo:hicn">
<prefix0>10</prefix0>
<prefix1>20</prefix1>
<len>30</len>
</route-get>
<route-del xmlns="urn:sysrepo:hicn">
<prefix0>10</prefix0>
<prefix1>20</prefix1>
<len>30</len>
</route-del>
<route-nhops-add xmlns="urn:sysrepo:hicn">
<prefix0>10</prefix0>
<prefix1>20</prefix1>
<len>30</len>
<face_ids0>40</face_ids0>
<face_ids1>50</face_ids1>
<face_ids2>60</face_ids2>
<face_ids3>70</face_ids3>
<face_ids4>80</face_ids4>
<face_ids5>90</face_ids5>
<face_ids6>100</face_ids6>
<n_faces>110</n_faces>
</route-nhops-add>
<route-nhops-del xmlns="urn:sysrepo:hicn">
<prefix0>10</prefix0>
<prefix1>20</prefix1>
<len>30</len>
<faceid>40</faceid>
</route-nhops-del>
<face-ip-params-get xmlns="urn:sysrepo:hicn">
<faceid>10</faceid>
</face-ip-params-get>
<face-ip-add xmlns="urn:sysrepo:hicn">
<nh_addr0>10</nh_addr0>
<nh_addr1>20</nh_addr1>
<swif>30</swif>
</face-ip-add>
<face-ip-del xmlns="urn:sysrepo:hicn">
<faceid>0</faceid>
</face-ip-del>
<punting-add xmlns="urn:sysrepo:hicn">
<prefix0>10</prefix0>
<prefix1>20</prefix1>
<len>30</len>
<swif>40</swif>
</punting-add>
<punting-del xmlns="urn:sysrepo:hicn">
<prefix0>10</prefix0>
<prefix1>20</prefix1>
<len>30</len>
<swif>40</swif>
</punting-del>
Run the plugin¶
Firstly, verify the plugin and binary libraries are located correctly, then run the vpp through (service vpp start). Next, run the sysrepo daemon (sysrepod), for debug mode: sysrepo -d -l 4 which runs with high verbosity. Then, run the sysrepo plugin (sysrepo-plugind), for debug mode: sysrep-plugind -d -l 4 which runs with high verbosity. Now, the hicn sysrepo plugin is loaded. Then, run the netopeer2-server which serves as NETCONF server.
Connect from netopeer2-cli¶
In order to connect through the netopeer client run the netopeer2-cli. Then, follow these steps:
connect –host XXX –login XXX
get (you can get the configuration and operational data)
get-config (you can get the configuration data)
edit-config –target running –config
You can modify the configuration but it needs an xml configuration input
<hicn-conf xmlns="urn:sysrepo:hicn">
<params>
<enable_disable>false</enable_disable>
<pit_max_size>-1</pit_max_size>
<cs_max_size>-1</cs_max_size>
<cs_reserved_app>-1</cs_reserved_app>
<pit_dflt_lifetime_sec>-1</pit_dflt_lifetime_sec>
<pit_max_lifetime_sec>-1</pit_max_lifetime_sec>
<pit_min_lifetime_sec>-1</pit_min_lifetime_sec>
</params>
</hicn-conf>
user-rpc (you can call one of the rpc proposed by hicn model but it needs an xml input)
Connect from OpenDaylight (ODL) controller¶
In order to connect through the OpenDaylight follow these procedure:
run karaf distribution (./opendayligh_installation_folder/bin/karaf)
install the required feature list in DOL (feature:install odl-netconf-server odl-netconf-connector odl-restconf-all odl-netconf-topology or odl-netconf-clustered-topology)
run a rest client program (e.g., postman or RESTClient)
mount the remote netopeer2-server to the OpenDaylight by the following REST API:
with the following body
<node xmlns="urn:TBD:params:xml:ns:yang:network-topology">
<node-id>hicn-node</node-id>
<host xmlns="urn:opendaylight:netconf-node-topology">Remote_NETCONF_SERVER_IP</host>
<port xmlns="urn:opendaylight:netconf-node-topology">830</port>
<username xmlns="urn:opendaylight:netconf-node-topology">username</username>
<password xmlns="urn:opendaylight:netconf-node-topology">password</password>
<tcp-only xmlns="urn:opendaylight:netconf-node-topology">false</tcp-only>
<keepalive-delay xmlns="urn:opendaylight:netconf-node-topology">1</keepalive-delay>
</node>
Note that the header files must be set to Content-Type: application/xml, Accept: application/xml.
send the operation through the following REST API:
The body can be used the same as edit-config in netopeer2-cli.
Connect from Cisco Network Services Orchestrator (NSO)¶
To connect NSO to the netopeer2-server, first, you need to write a NED package for your device. The procedure to create NED for hicn is explained in the following:
Place hicn.yang model in a folder called hicn-yang-model, and follow these steps:
ncs-make-package –netconf-ned ./hicn-yang-model ./hicn-nso
cd hicn-nso/src; make
ncs-setup –ned-package ./hicn-nso –dest ./hicn-nso-project
cd hicn-nso-project
ncs
ncs_cli -C -u admin
configure
devices authgroups group authhicn default-map remote-name user_name remote-password password
devices device hicn address IP_device port 830 authgroup authhicn device-type netconf
state admin-state unlocked
commit
ssh fetch-host-keys
At this point, we are able to connect to the remote device.
Release note¶
The current version is compatible with the 20.01 VPP stable and sysrepo devel.
Routing plugin for VPP and FRRouting for OSPF6¶
This document describes how to configure the VPP with hicn_router plugin and FRR to enable the OSPF protocol. The VPP and FRR are configured in a docker file.
DPDK configuration on host machine¶
- Install and configure DPDK
- make install T=x86_64-native-linux-gcc && cd x86_64-native-linux-gcc && sudo make install
- modprobe uio
- modprobe uio_pci_generic
- dpdk-devbind --status
- the PCIe number of the desired device can be observed ("xxx")
- sudo dpdk-devbind -b uio_pci_generic "xxx"
VPP configuration¶
- Run and configure the VPP (hICN router plugin is required to be installed in VPP)
- set int state TenGigabitEtherneta/0/0 up
- set int ip address TenGigabitEtherneta/0/0 a001::1/24
- create loopback interface
- set interface state loop0 up
- set interface ip address loop0 b001::1/128
- enable tap-inject # This creates the taps by router plugin
- show tap-inject # This shows the created taps
- ip mroute add ff02::/64 via local Forward # ff02:: is multicast ip address
- ip mroute add ff02::/64 via TenGigabitEtherneta/0/0 Accept
- ip mroute add ff02::/64 via loop0 Accept
- Setup the tap interface
- ip addr add a001::1/24 dev vpp0
- ip addr add b001::1/128 dev vpp1
- ip link set dev vpp0 up
- ip link set dev vpp1 up
FRR configuration¶
Install FRR in Ubuntu 18 LTS: http://docs.frrouting.org/projects/dev-guide/en/latest/building-frr-for-ubuntu1804.html
- Run and configure FRRouting (ospf)
- /usr/lib/frr/frrinit.sh start &
- vtysh
- configure terminal
- router ospf6
- area <IP_ADDRESS> range a001::1/24
- area <IP_ADDRESS> range b001::1/128
- interface vpp0 area <IP_ADDRESS>
- interface vpp1 area <IP_ADDRESS>
- end
- wr
- add "no ipv6 nd suppress-ra" to the first configurtion part of the /etc/frr/frr.conf
After the following configuration, the traffic over tap interface can be observered through “tcpdump- i vpp1”. The neighborhood and route can be seen by the “show ipv6 ospf6 neighbor/route”.


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This service allows you to summarize documents stored in the Bisque system. It operates on textual tag and graphical gobject documents.


MPI requires a number of special ``constants'' that cannot be implemented as normal Fortran constants, e.g., MPI_BOTTOM. The complete list can be found in Section Named Constants . In C, these are implemented as constant pointers, usually as NULL and are used where the function prototype calls for a pointer to a variable, not the variable itself.
In Fortran, using special values for the constants (e.g., by defining them through parameter statements) is not possible because an implementation cannot distinguish these values from valid data. Typically these constants are implemented as predefined static variables (e.g., a variable in an MPI-declared COMMON block), relying on the fact that the target compiler passes data by address. Inside the subroutine, the address of the actual choice buffer argument can be compared with the address of such a predefined static variable.
These special constants also cause an exception with the usage of Fortran INTENT: with USE mpi_f08, the attributes INTENT(IN), INTENT(OUT), and INTENT(INOUT) are used in the Fortran interface. In most cases, INTENT(IN) is used if the C interface uses call-by-value. For all buffer arguments and for dummy arguments that may be modified and allow one of these special constants as input, an INTENT is not specified.


Please check that the Ethernet cable is plugged into the wall and that the Internet connection at Kuusi Palaa is up and healthy.
The kiosk will retry connecting every 5 seconds.


--- layout: post title: "Maximum likelihood estimation with tensorflow probability and pystan (and now rstan too)" permalink: /:title/ tags: [tensorflow, pystan, rstan] ---
I've made some edits to this post based on comments on the stan forums and from Bob Carpenter below (many thanks to all):
y ~ bernoulli_logit(alpha + x * beta);
-> y ~ bernoulli_logit_glm(x, alpha, beta);
in
the stan code (actually nvm this doesn't work with the currently released pystan or
rstan 2.18, I get this error)I'm quite excited about tensorflow 2 and have been using the alpha quite a lot recently. I'm also really enjoying a lot of the functionallity in tensorflow probability which I show a little of here. I installed both of these via:
pip install tensorflow-gpu==2.0.0-alpha tfp-nightly
In this example I use LBFGS to find maximum likelihood estimates in a fairly big logistic regression with 1 million observations and 250 predictors. It's really easy to do in tensorflow and in stan, the only difference here is the execution time, and the gap in this (contrived) example is pretty large. Perhaps when stan on the GPU becomes available it will close the gap. Less the GPU difference, a few other differences worth mentioning are:
The latter two points are limitations of stan, I think. I should note that stan does seem to support some multithreading (see pystan threading support), although it looks quite complicated to use. In tensorflow taking advantage of multiple CPUs or the GPUs requires little to no effort from the user.
Anyway, here's the data generation and the tensorflow version:
import tensorflow_probability as tfp import tensorflow as tf import time as tm tfd = tfp.distributions N = 1_000_000 P = 250 def loss(par, x, y): alpha = par[0] beta = tf.expand_dims(par[1:], 1) dist = tfd.Bernoulli(alpha + x @ beta) return -tf.reduce_sum(dist.log_prob(y)) @tf.function def loss_and_gradient(par, x, y): return tfp.math.value_and_gradient(lambda par: loss(par, x, y), par) def fit(x, y): init = tf.zeros(tf.shape(x)[1] + 1) opt = tfp.optimizer.lbfgs_minimize( lambda par: loss_and_gradient(par, x, y), init, max_iterations=1000 ) return opt tf.random.set_seed(123) alpha_true = tfd.Normal(0.666, 1.0).sample() beta_true = tfd.Normal(0.0, 3.14).sample([P, 1]) x = tfd.Normal(0.0, 1.0).sample([N, P]) y = tfd.Bernoulli(alpha_true + x @ beta_true).sample() start = tm.time() mle = fit(x, y) end = tm.time()
print(f"tensorflow took: {end - start:.4f} seconds") print(f"converged: {mle.converged}") print(f"iterations: {mle.num_iterations}")
tensorflow took: 7.3069 seconds converged: True iterations: 27
Here's the stan version:
data { int<lower = 0> N; int<lower = 0> P; matrix[N, P] x; int<lower = 0, upper = 1> y[N]; } parameters { real alpha; vector[P] beta; } model { y ~ bernoulli_logit(alpha + x * beta); }
import pystan stan_model = pystan.StanModel(stan_file, extra_compile_args=["-O3", "-march=native"]) stan_data = {"N": N, "P": P, "x": x.numpy(), "y": y[:, 0].numpy()} start = tm.time() stan_mle = stan_model.optimizing(stan_data, init="0") end = tm.time()
print(f"pystan took: {end - start:.4f} seconds")
pystan took: 97.4500 seconds
Let's also try rstan (unfortunately requires reading/writing to file so I can gather the results in python):
import numpy as np np.savetxt("misc/x.csv", stan_data["x"], delimiter=",") np.savetxt("misc/y.csv", stan_data["y"], delimiter=",")
library(rstan) library(data.table) library(tictoc) x <- as.matrix(fread("misc/x.csv", header = FALSE)) y <- fread("misc/y.csv", header = FALSE)[[1]] stan_data <- list(N = nrow(x), P = ncol(x), x = x, y = y) model <- stan_model(stan_file) tic("rstan") fit <- optimizing(model, data = stan_data, hessian = FALSE) toc() fwrite(data.table(fit$par), "misc/rstan.csv", col.names = FALSE)
rstan: 30.54 sec elapsed
So in this example rstan is quite different to pystan!
Finally, let's check the results:
import pandas as pd true_vector = np.concatenate( [np.expand_dims(alpha_true.numpy(), 0), np.squeeze(beta_true.numpy())], 0 ) pystan_vector = np.concatenate( [np.expand_dims(stan_mle["alpha"], 0), stan_mle["beta"]], 0 ) rstan_vector = np.genfromtxt("misc/rstan.csv", delimiter=",") results = pd.DataFrame( { "true": true_vector, "tf2": mle.position, "pystan": pystan_vector, "rstan": rstan_vector, }, index=["alpha", *[f"beta[{i}]" for i in range(P)]], ) results.head(10).round(4)
| true | tf2 | pystan | rstan | |
|---|---|---|---|---|
| alpha | -0.232084 | -0.227752 | -0.22775 | -0.227754 |
| beta[0] | 1.06369 | 1.06159 | 1.06159 | 1.0616 |
| beta[1] | 1.08326 | 1.09081 | 1.09081 | 1.09082 |
| beta[2] | -2.07422 | -2.06481 | -2.06481 | -2.06483 |
| beta[3] | -0.896468 | -0.908332 | -0.908334 | -0.908344 |
| beta[4] | 1.37697 | 1.35268 | 1.35268 | 1.3527 |
| beta[5] | 2.60261 | 2.62698 | 2.62698 | 2.62701 |
| beta[6] | -1.68278 | -1.66754 | -1.66755 | -1.66756 |
| beta[7] | -1.68099 | -1.68325 | -1.68325 | -1.68327 |
| beta[8] | -3.24181 | -3.2511 | -3.2511 | -3.25115 |
So all looks good! I did get quite a few odd tensorflow warnings doing this, so will
investigate further… I'm also not sure about where to place @tf.function
, putting it
on the fit
function actually makes exectution time nearly double!
My CPU details:
Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 12 On-line CPU(s) list: 0-11 Thread(s) per core: 2 Core(s) per socket: 6 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 158 Model name: Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz Stepping: 10 CPU MHz: 3791.861 CPU max MHz: 4100.0000 CPU min MHz: 800.0000 BogoMIPS: 4416.00 Virtualisation: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 9216K NUMA node0 CPU(s): 0-11
and GPU details:
./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 1060" CUDA Driver Version / Runtime Version 10.0 / 10.0 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 6078 MBytes<PHONE_NUMBER> bytes) (10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores GPU Max Clock rate: 1671 MHz (1.67 GHz) Memory Clock rate: 4004 Mhz Memory Bus Width: 192-bit L2 Cache Size: 1572864 bytes Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384) Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z):<PHONE_NUMBER>, 65535, 65535) Maximum memory pitch:<PHONE_NUMBER> bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 2 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Device supports Compute Preemption: Yes Supports Cooperative Kernel Launch: Yes Supports MultiDevice Co-op Kernel Launch: Yes Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 10.0, NumDevs = 1, Device0 = GeForce GTX 1060 Result = PASS


Personal Website of Paul Ahern
Here you will find a Blog, some Application Guides, a catalog for my Library and a Gallery of photographs.
See Rooska for maps and photographs of my mountain.
External
Favourite: Dictionary Isabelle StartPage
Apps: Calibre Geany Inkscape LastPass
Books: ABE Amazon (read) Baen O'Reilly PG
Cartoons: Dilbert Doonesbury Garfield xkcd
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Social: Contacts Facebook LinkedIn Twitter


VERIFY
Section: Maintenance Commands (8)Index Return to Main Contents
NAME
verify - Postfix address verification serverSYNOPSIS
verify [generic Postfix daemon options]
DESCRIPTION
The verify(8) address verification server maintains a record of what recipient addresses are known to be deliverable or undeliverable.Addresses are verified by injecting probe messages into the Postfix queue. Probe messages are run through all the routing and rewriting machinery except for final delivery, and are discarded rather than being deferred or bounced.
Address verification relies on the answer from the nearest MTA for the specified address, and will therefore not detect all undeliverable addresses.
The verify(8) server is designed to run under control by the Postfix master server. It maintains an optional persistent database. To avoid being interrupted by "postfix stop" in the middle of a database update, the process runs in a separate process group.
The verify(8) server implements the following requests:
- update address status text
- Update the status and text of the specified address.
- query address
- Look up the status and text for the specified address. If the status is unknown, a probe is sent and an "in progress" status is returned.
SECURITY
The address verification server is not security-sensitive. It does not talk to the network, and it does not talk to local users. The verify server can run chrooted at fixed low privilege.
The address verification server can be coerced to store unlimited amounts of garbage. Limiting the cache size trades one problem (disk space exhaustion) for another one (poor response time to client requests).
With Postfix version 2.5 and later, the verify(8) server no longer uses root privileges when opening the address_verify_map cache file. The file should now be stored under the Postfix-owned data_directory. As a migration aid, an attempt to open a cache file under a non-Postfix directory is redirected to the Postfix-owned data_directory, and a warning is logged.
DIAGNOSTICS
Problems and transactions are logged to syslogd(8).BUGS
The address verification service is suitable only for sites that handle a low mail volume. Verification probes add additional traffic to the mail queue and perform poorly under high load. Servers may blacklist sites that probe excessively, or that probe excessively for non-existent recipient addresses.If the persistent database ever gets corrupted then the world comes to an end and human intervention is needed. This violates a basic Postfix principle.
CONFIGURATION PARAMETERS
Changes to main.cf are not picked up automatically, as verify(8) processes are persistent. Use the command "postfix reload" after a configuration change.
The text below provides only a parameter summary. See postconf(5) for more details including examples.
CACHE CONTROLS
- address_verify_map (empty)
- Optional lookup table for persistent address verification status storage.
- address_verify_sender ($double_bounce_sender)
- The sender address to use in address verification probes; prior to Postfix 2.5 the default was "postmaster".
- address_verify_positive_expire_time (31d)
- The time after which a successful probe expires from the address verification cache.
- address_verify_positive_refresh_time (7d)
- The time after which a successful address verification probe needs to be refreshed.
- address_verify_negative_cache (yes)
- Enable caching of failed address verification probe results.
- address_verify_negative_expire_time (3d)
- The time after which a failed probe expires from the address verification cache.
- address_verify_negative_refresh_time (3h)
- The time after which a failed address verification probe needs to be refreshed.
PROBE MESSAGE ROUTING CONTROLS
By default, probe messages are delivered via the same route as regular messages. The following parameters can be used to override specific message routing mechanisms.
- address_verify_relayhost ($relayhost)
- Overrides the relayhost parameter setting for address verification probes.
- address_verify_transport_maps ($transport_maps)
- Overrides the transport_maps parameter setting for address verification probes.
- address_verify_local_transport ($local_transport)
- Overrides the local_transport parameter setting for address verification probes.
- address_verify_virtual_transport ($virtual_transport)
- Overrides the virtual_transport parameter setting for address verification probes.
- address_verify_relay_transport ($relay_transport)
- Overrides the relay_transport parameter setting for address verification probes.
- address_verify_default_transport ($default_transport)
- Overrides the default_transport parameter setting for address verification probes.
MISCELLANEOUS CONTROLS
- config_directory (see 'postconf -d' output)
- The default location of the Postfix main.cf and master.cf configuration files.
- daemon_timeout (18000s)
- How much time a Postfix daemon process may take to handle a request before it is terminated by a built-in watchdog timer.
- ipc_timeout (3600s)
- The time limit for sending or receiving information over an internal communication channel.
- process_id (read-only)
- The process ID of a Postfix command or daemon process.
- process_name (read-only)
- The process name of a Postfix command or daemon process.
- queue_directory (see 'postconf -d' output)
- The location of the Postfix top-level queue directory.
- syslog_facility (mail)
- The syslog facility of Postfix logging.
- syslog_name (see 'postconf -d' output)
- The mail system name that is prepended to the process name in syslog records, so that "smtpd" becomes, for example, "postfix/smtpd".
SEE ALSO
smtpd(8), Postfix SMTP server cleanup(8), enqueue Postfix message postconf(5), configuration parameters syslogd(5), system logging
README FILES
Use "postconf readme_directory" or "postconf html_directory" to locate this information.
ADDRESS_VERIFICATION_README, address verification howto
LICENSE
The Secure Mailer license must be distributed with this software.
HISTORY
This service was introduced with Postfix version 2.1.
AUTHOR(S)
Wietse Venema IBM T.J. Watson Research P.O. Box 704 Yorktown Heights, NY 10598, USA
Index
- NAME
- SYNOPSIS
- DESCRIPTION
- SECURITY
- DIAGNOSTICS
- BUGS
- CONFIGURATION PARAMETERS
- CACHE CONTROLS
- PROBE MESSAGE ROUTING CONTROLS
- MISCELLANEOUS CONTROLS
- SEE ALSO
- README FILES
- LICENSE
- HISTORY
- AUTHOR(S)
This document was created by man2html, using the manual pages.
Time: 05:34:31 GMT, December 24, 2015


--- layout: page title: Quiz ---
Live scores for the CompSoc Pub Quiz Remember: the drinks you're able to get with your tokens are: a bottle of sol, a can of budweiser, a small wine, spirit & mixer, a fosters, and a VK


Class Slot
A model which may represent either a defined macro slot or content which should fill a macro slot.
Inheritance
Implements
Inherited Members
Namespace: ZptSharp.Metal
Assembly: ZptSharp.Abstractions.dll
Syntax
public sealed class Slot : IEquatable<Slot>
Constructors
| Improve this Doc View SourceSlot(String, INode)
Initializes a new instance of the Slot class.
Declaration
public Slot(string name, INode node)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | name | Slot name. |
| INode | node | Node. |
Properties
| Improve this Doc View SourceName
Gets the name of the slot.
Declaration
public string Name { get; }
Property Value
| Type | Description |
|---|---|
| System.String | The name. |
Node
Gets the DOM node associated with the slot. This is either the node which is replaced when the slot is filled, or the node which fills the slot.
Declaration
public INode Node { get; }
Property Value
| Type | Description |
|---|---|
| INode | The node. |
Methods
| Improve this Doc View SourceEquals(Object)
Determines whether the specified System.Object is equal to the current Slot.
Declaration
public override bool Equals(object obj)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Object | obj | The System.Object to compare with the current Slot. |
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
Overrides
Equals(Slot)
Declaration
public bool Equals(Slot other)
Parameters
| Type | Name | Description |
|---|---|---|
| Slot | other |
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
GetHashCode()
Serves as a hash function for a Slot object.
Declaration
public override int GetHashCode()
Returns
| Type | Description |
|---|---|
| System.Int32 | A hash code for this instance that is suitable for use in hashing algorithms and data structures such as a hash table. |


SaleQuery
class SaleQuery extends ModelCriteria
Base class that represents a query for the 'sale' table.
Methods
Initializes internal state of \Thelia\Model\Base\SaleQuery object.
Returns a new ChildSaleQuery object.
Find objects by primary key
$objs = $c->findPks(array(12, 56, 832), $con);
Filter the query by primary key
Filter the query by a list of primary keys
Filter the query on the id column
Filter the query on the active column
Filter the query on the displayinitialprice column
Filter the query on the start_date column
Filter the query on the end_date column
Filter the query on the priceoffsettype column
Filter the query on the created_at column
Filter the query on the updated_at column
Filter the query by a related \Thelia\Model\SaleOffsetCurrency object
Adds a JOIN clause to the query using the SaleOffsetCurrency relation
Use the SaleOffsetCurrency relation SaleOffsetCurrency object
Filter the query by a related \Thelia\Model\SaleProduct object
Adds a JOIN clause to the query using the SaleProduct relation
Use the SaleProduct relation SaleProduct object
Filter the query by a related \Thelia\Model\SaleI18n object
Adds a JOIN clause to the query using the SaleI18n relation
Use the SaleI18n relation SaleI18n object
Deletes all rows from the sale table.
Performs a DELETE on the database, given a ChildSale or Criteria object OR a primary key value.
Adds a JOIN clause to the query using the i18n relation
Adds a JOIN clause to the query and hydrates the related I18n object.
Use the I18n relation query object
Filter by the latest updated
Filter by the latest created
Order by update date desc
Order by update date asc
Order by create date desc
Order by create date asc
Order by the id column
Order by the active column
Order by the displayinitialprice column
Order by the start_date column
Order by the end_date column
Order by the priceoffsettype column
Order by the created_at column
Order by the updated_at column
Group by the id column
Group by the active column
Group by the displayinitialprice column
Group by the start_date column
Group by the end_date column
Group by the priceoffsettype column
Group by the created_at column
Group by the updated_at column
Adds a LEFT JOIN clause to the query
Adds a RIGHT JOIN clause to the query
Adds a INNER JOIN clause to the query
Adds a LEFT JOIN clause to the query using the SaleOffsetCurrency relation
Adds a RIGHT JOIN clause to the query using the SaleOffsetCurrency relation
Adds a INNER JOIN clause to the query using the SaleOffsetCurrency relation
Adds a LEFT JOIN clause to the query using the SaleProduct relation
Adds a RIGHT JOIN clause to the query using the SaleProduct relation
Adds a INNER JOIN clause to the query using the SaleProduct relation
Adds a LEFT JOIN clause to the query using the SaleI18n relation
Adds a RIGHT JOIN clause to the query using the SaleI18n relation
Adds a INNER JOIN clause to the query using the SaleI18n relation
Return the first ChildSale matching the query
Return the first ChildSale matching the query, or a new ChildSale object populated from the query conditions when no match is found
Return the first ChildSale filtered by the id column
Return the first ChildSale filtered by the active column
Return the first ChildSale filtered by the displayinitialprice column
Return the first ChildSale filtered by the start_date column
Return the first ChildSale filtered by the end_date column
Return the first ChildSale filtered by the priceoffsettype column
Return the first ChildSale filtered by the created_at column
Return the first ChildSale filtered by the updated_at column
Return ChildSale objects filtered by the id column
Return ChildSale objects filtered by the active column
Return ChildSale objects filtered by the displayinitialprice column
Return ChildSale objects filtered by the start_date column
Return ChildSale objects filtered by the end_date column
Return ChildSale objects filtered by the priceoffsettype column
Return ChildSale objects filtered by the created_at column
Return ChildSale objects filtered by the updated_at column
Details
at line 91
__construct(
string $dbName = 'thelia',
string $modelName = '\\Thelia\\Model\\Sale',
string $modelAlias = null)
Initializes internal state of \Thelia\Model\Base\SaleQuery object.
at line 104
static
SaleQuery
create(
string $modelAlias = null,
Criteria $criteria = null)
Returns a new ChildSaleQuery object.
at line 134
Sale|array|mixed
findPk(
mixed $key,
ConnectionInterface $con = null)
Find object by primary key.
Propel uses the instance pool to skip the database if the object exists. Go fast if the query is untouched.
$obj = $c->findPk(12, $con);
at line 216
ObjectCollection|array|mixed
findPks(
array $keys,
ConnectionInterface $con = null)
Find objects by primary key
$objs = $c->findPks(array(12, 56, 832), $con);
at line 237
SaleQuery
filterByPrimaryKey(
mixed $key)
Filter the query by primary key
at line 250
SaleQuery
filterByPrimaryKeys(
array $keys)
Filter the query by a list of primary keys
at line 274
SaleQuery
filterById(
mixed $id = null,
string $comparison = null)
Filter the query on the id column
Example usage:
$query->filterById(1234); // WHERE id = 1234
$query->filterById(array(12, 34)); // WHERE id IN (12, 34)
$query->filterById(array('min' => 12)); // WHERE id > 12
at line 315
SaleQuery
filterByActive(
boolean|string $active = null,
string $comparison = null)
Filter the query on the active column
Example usage:
$query->filterByActive(true); // WHERE active = true
$query->filterByActive('yes'); // WHERE active = true
at line 342
SaleQuery
filterByDisplayInitialPrice(
boolean|string $displayInitialPrice = null,
string $comparison = null)
Filter the query on the displayinitialprice column
Example usage:
$query->filterByDisplayInitialPrice(true); // WHERE displayinitialprice = true
$query->filterByDisplayInitialPrice('yes'); // WHERE displayinitialprice = true
at line 371
SaleQuery
filterByStartDate(
mixed $startDate = null,
string $comparison = null)
Filter the query on the start_date column
Example usage:
$query->filterByStartDate('2011-03-14'); // WHERE startdate = '2011-03-14'
$query->filterByStartDate('now'); // WHERE startdate = '2011-03-14'
$query->filterByStartDate(array('max' => 'yesterday')); // WHERE start_date > '2011-03-13'
at line 414
SaleQuery
filterByEndDate(
mixed $endDate = null,
string $comparison = null)
Filter the query on the end_date column
Example usage:
$query->filterByEndDate('2011-03-14'); // WHERE enddate = '2011-03-14'
$query->filterByEndDate('now'); // WHERE enddate = '2011-03-14'
$query->filterByEndDate(array('max' => 'yesterday')); // WHERE end_date > '2011-03-13'
at line 455
SaleQuery
filterByPriceOffsetType(
mixed $priceOffsetType = null,
string $comparison = null)
Filter the query on the priceoffsettype column
Example usage:
$query->filterByPriceOffsetType(1234); // WHERE priceoffsettype = 1234
$query->filterByPriceOffsetType(array(12, 34)); // WHERE priceoffsettype IN (12, 34)
$query->filterByPriceOffsetType(array('min' => 12)); // WHERE priceoffsettype > 12
at line 498
SaleQuery
filterByCreatedAt(
mixed $createdAt = null,
string $comparison = null)
Filter the query on the created_at column
Example usage:
$query->filterByCreatedAt('2011-03-14'); // WHERE createdat = '2011-03-14'
$query->filterByCreatedAt('now'); // WHERE createdat = '2011-03-14'
$query->filterByCreatedAt(array('max' => 'yesterday')); // WHERE created_at > '2011-03-13'
at line 541
SaleQuery
filterByUpdatedAt(
mixed $updatedAt = null,
string $comparison = null)
Filter the query on the updated_at column
Example usage:
$query->filterByUpdatedAt('2011-03-14'); // WHERE updatedat = '2011-03-14'
$query->filterByUpdatedAt('now'); // WHERE updatedat = '2011-03-14'
$query->filterByUpdatedAt(array('max' => 'yesterday')); // WHERE updated_at > '2011-03-13'
at line 572
SaleQuery
filterBySaleOffsetCurrency(
SaleOffsetCurrency|ObjectCollection $saleOffsetCurrency,
string $comparison = null)
Filter the query by a related \Thelia\Model\SaleOffsetCurrency object
at line 595
SaleQuery
joinSaleOffsetCurrency(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the SaleOffsetCurrency relation
at line 630
SaleOffsetCurrencyQuery
useSaleOffsetCurrencyQuery(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Use the SaleOffsetCurrency relation SaleOffsetCurrency object
at line 645
SaleQuery
filterBySaleProduct(
SaleProduct|ObjectCollection $saleProduct,
string $comparison = null)
Filter the query by a related \Thelia\Model\SaleProduct object
at line 668
SaleQuery
joinSaleProduct(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Adds a JOIN clause to the query using the SaleProduct relation
at line 703
SaleProductQuery
useSaleProductQuery(
string $relationAlias = null,
string $joinType = Criteria::INNER_JOIN)
Use the SaleProduct relation SaleProduct object
at line 718
SaleQuery
filterBySaleI18n(
SaleI18n|ObjectCollection $saleI18n,
string $comparison = null)
Filter the query by a related \Thelia\Model\SaleI18n object
at line 741
SaleQuery
joinSaleI18n(
string $relationAlias = null,
string $joinType = 'LEFT JOIN')
Adds a JOIN clause to the query using the SaleI18n relation
at line 776
SaleI18nQuery
useSaleI18nQuery(
string $relationAlias = null,
string $joinType = 'LEFT JOIN')
Use the SaleI18n relation SaleI18n object
at line 805
int
doDeleteAll(
ConnectionInterface $con = null)
Deletes all rows from the sale table.
at line 842
int
delete(
ConnectionInterface $con = null)
Performs a DELETE on the database, given a ChildSale or Criteria object OR a primary key value.
at line 885
SaleQuery
joinI18n(
string $locale = 'en_US',
string $relationAlias = null,
string $joinType = Criteria::LEFT_JOIN)
Adds a JOIN clause to the query using the i18n relation
at line 903
SaleQuery
joinWithI18n(
string $locale = 'en_US',
string $joinType = Criteria::LEFT_JOIN)
Adds a JOIN clause to the query and hydrates the related I18n object.
Shortcut for $c->joinI18n($locale)->with()
at line 924
SaleI18nQuery
useI18nQuery(
string $locale = 'en_US',
string $relationAlias = null,
string $joinType = Criteria::LEFT_JOIN)
Use the I18n relation query object
at line 940
SaleQuery
recentlyUpdated(
int $nbDays = 7)
Filter by the latest updated
at line 952
SaleQuery
recentlyCreated(
int $nbDays = 7)
Filter by the latest created
at line 962
SaleQuery
lastUpdatedFirst()
Order by update date desc
at line 972
SaleQuery
firstUpdatedFirst()
Order by update date asc
at line 982
SaleQuery
lastCreatedFirst()
Order by create date desc
at line 992
SaleQuery
firstCreatedFirst()
Order by create date asc
at line 81
ChildSaleQuery
orderById($order = Criteria::ASC)
Order by the id column
at line 81
ChildSaleQuery
orderByActive($order = Criteria::ASC)
Order by the active column
at line 81
ChildSaleQuery
orderByDisplayInitialPrice($order = Criteria::ASC)
Order by the displayinitialprice column
at line 81
ChildSaleQuery
orderByStartDate($order = Criteria::ASC)
Order by the start_date column
at line 81
ChildSaleQuery
orderByEndDate($order = Criteria::ASC)
Order by the end_date column
at line 81
ChildSaleQuery
orderByPriceOffsetType($order = Criteria::ASC)
Order by the priceoffsettype column
at line 81
ChildSaleQuery
orderByCreatedAt($order = Criteria::ASC)
Order by the created_at column
at line 81
ChildSaleQuery
orderByUpdatedAt($order = Criteria::ASC)
Order by the updated_at column
at line 81
ChildSaleQuery
groupById()
Group by the id column
at line 81
ChildSaleQuery
groupByActive()
Group by the active column
at line 81
ChildSaleQuery
groupByDisplayInitialPrice()
Group by the displayinitialprice column
at line 81
ChildSaleQuery
groupByStartDate()
Group by the start_date column
at line 81
ChildSaleQuery
groupByEndDate()
Group by the end_date column
at line 81
ChildSaleQuery
groupByPriceOffsetType()
Group by the priceoffsettype column
at line 81
ChildSaleQuery
groupByCreatedAt()
Group by the created_at column
at line 81
ChildSaleQuery
groupByUpdatedAt()
Group by the updated_at column
at line 81
ChildSaleQuery
leftJoin($relation)
Adds a LEFT JOIN clause to the query
at line 81
ChildSaleQuery
rightJoin($relation)
Adds a RIGHT JOIN clause to the query
at line 81
ChildSaleQuery
innerJoin($relation)
Adds a INNER JOIN clause to the query
at line 81
ChildSaleQuery
leftJoinSaleOffsetCurrency($relationAlias = null)
Adds a LEFT JOIN clause to the query using the SaleOffsetCurrency relation
at line 81
ChildSaleQuery
rightJoinSaleOffsetCurrency($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the SaleOffsetCurrency relation
at line 81
ChildSaleQuery
innerJoinSaleOffsetCurrency($relationAlias = null)
Adds a INNER JOIN clause to the query using the SaleOffsetCurrency relation
at line 81
ChildSaleQuery
leftJoinSaleProduct($relationAlias = null)
Adds a LEFT JOIN clause to the query using the SaleProduct relation
at line 81
ChildSaleQuery
rightJoinSaleProduct($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the SaleProduct relation
at line 81
ChildSaleQuery
innerJoinSaleProduct($relationAlias = null)
Adds a INNER JOIN clause to the query using the SaleProduct relation
at line 81
ChildSaleQuery
leftJoinSaleI18n($relationAlias = null)
Adds a LEFT JOIN clause to the query using the SaleI18n relation
at line 81
ChildSaleQuery
rightJoinSaleI18n($relationAlias = null)
Adds a RIGHT JOIN clause to the query using the SaleI18n relation
at line 81
ChildSaleQuery
innerJoinSaleI18n($relationAlias = null)
Adds a INNER JOIN clause to the query using the SaleI18n relation
at line 81
ChildSale
findOne(
ConnectionInterface $con = null)
Return the first ChildSale matching the query
at line 81
ChildSale
findOneOrCreate(
ConnectionInterface $con = null)
Return the first ChildSale matching the query, or a new ChildSale object populated from the query conditions when no match is found
at line 81
ChildSale
findOneById(
int $id)
Return the first ChildSale filtered by the id column
at line 81
ChildSale
findOneByActive(
boolean $active)
Return the first ChildSale filtered by the active column
at line 81
ChildSale
findOneByDisplayInitialPrice(
boolean $display_initial_price)
Return the first ChildSale filtered by the displayinitialprice column
at line 81
ChildSale
findOneByStartDate(
string $start_date)
Return the first ChildSale filtered by the start_date column
at line 81
ChildSale
findOneByEndDate(
string $end_date)
Return the first ChildSale filtered by the end_date column
at line 81
ChildSale
findOneByPriceOffsetType(
int $price_offset_type)
Return the first ChildSale filtered by the priceoffsettype column
at line 81
ChildSale
findOneByCreatedAt(
string $created_at)
Return the first ChildSale filtered by the created_at column
at line 81
ChildSale
findOneByUpdatedAt(
string $updated_at)
Return the first ChildSale filtered by the updated_at column
at line 81
array
findById(
int $id)
Return ChildSale objects filtered by the id column
at line 81
array
findByActive(
boolean $active)
Return ChildSale objects filtered by the active column
at line 81
array
findByDisplayInitialPrice(
boolean $display_initial_price)
Return ChildSale objects filtered by the displayinitialprice column
at line 81
array
findByStartDate(
string $start_date)
Return ChildSale objects filtered by the start_date column
at line 81
array
findByEndDate(
string $end_date)
Return ChildSale objects filtered by the end_date column
at line 81
array
findByPriceOffsetType(
int $price_offset_type)
Return ChildSale objects filtered by the priceoffsettype column
at line 81
array
findByCreatedAt(
string $created_at)
Return ChildSale objects filtered by the created_at column
at line 81
array
findByUpdatedAt(
string $updated_at)
Return ChildSale objects filtered by the updated_at column


Intro to Programming:
Lesson 01 Concepts
1) Thinking like a Programmer
If you want to "think like a programmer", practice the following ways of thinking; procedural
thinking, abstract thinking, systematic debugging, systematic thinking, and technological empathy.
2) Tags
Tags are used to write HTML. They can be used to bold or
italicize text.
3) Attributes
Attributes can be used to add links or images.
4) New Terms
HTML - HyperText Markup Language
HTTP - HyperText Transfer Protocol. The main protocol of the web.
Servers - computers that host the files that make up the web.
Internet - the world's largest computer network.
Browser - a program that runs on your computer to display files found on the web.


Pence Is Implicated
by David LeonhardtThis article is part of David Leonhardt’s newsletter. You can sign up here to receive it each weekday.
The president led a conspiracy to use American foreign policy for his personal benefit. We’ve known that much for weeks. Yesterday, we heard a credible accusation that the vice president, among other top officials, was aware of the conspiracy and evidently did nothing to stop it.
Imagine for a moment that congressional Republicans were willing to make good on the oath they have all taken to defend the Constitution. In that scenario (fanciful, I realize), both President Trump and Vice President Pence would be at risk of being impeached and removed. This combination would then create a new and separate political crisis.
Why? Because the second person in the presidential line of succession, after the vice president, is the speaker of the House, who is of course currently a Democrat — Nancy Pelosi. If both Trump and Pence were removed from office, Pelosi would become president, flipping partisan control of the White House and the executive branch.
That should never happen. A scandal should be able to lead to the removal of individual officials, but it should not reverse which party won an election. “If the electorate says that such-and-such a party should have the White House for four years, it ought to have the White House for four years,” Dwight Eisenhower wisely said.
The potential for a partisan reversal raises all kinds of problems. It creates incentives for one party to exaggerate a scandal (which, to be clear, is not happening in this case). It can also lead to more voters distrusting an impeachment process. “The whole point of having a line of succession is to ensure a smooth transition and a continuity of administration in a time of crisis,” my colleague Jesse Wegman has written. “Having a leader of the opposing party take over the White House, especially in an era of intense political polarization, would not achieve that, to put it mildly.”
Or as Jonathan Bernstein of Bloomberg Opinion writes: “It’s contrary to the entire structure of the constitutional system, which separates legislative from executive institutions and forces them to share powers.”
The line of succession stems from a 1947 law, and it can be changed with a new law anytime. Pelosi and House Democrats should pass such a law as soon as possible, so that every potential successor comes from the executive branch. It would be a victory for good government — and would also send a message about the severity of Trump’s and Pence’s high crimes and misdemeanors.
The Democratic debate
I was pleased to see that last night’s moderators didn’t ask about Medicare — an obsessive focus of the early debates — in any of their first nine questions. Pete Buttigieg brought up the subject, and the moderators asked a few follow-up questions. But they didn’t allow Medicare to dominate the debate. They found time for climate change, voting rights, China, the wealth tax and more. Nicely done, moderators — Rachel Maddow, Andrea Mitchell, Ashley Parker and Kristen Welker.
For more on the debate, I recommend the latest installment of The Times’s “Winners and Losers” feature.
If you are not a subscriber to this newsletter, you can subscribe here . You can also join me on Twitter (@DLeonhardt) and Facebook .
Follow The New York Times Opinion section on Facebook , Twitter (@NYTopinion) and Instagram .


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Model by Tomás Laulhé. Before using thismodel on a project, consider supporting the creator’s Patreon. CC0 1.0.
Modifications by Don McCurdy:


--- layout: post title: Basic Suturing Workshop 2017 categories: [review] thumb-img: /bsw1617/thumb.png feature-img: /bsw1617/feature.jpg excerpt: The 2017 Basic Suturing Workshop was successfully held on 4th (Sat) and 5th (Sun) of February ... ---
The 2017 Basic Suturing Workshop was successfully held on 4th (Sat) and 5th (Sun) of February at the Prince of Wales Hospital (PWH) and the Medical Campus of the University of Hong Kong (HKU) respectively. We hope that all participants would have had a wonderful learning experience into various knot-tying and suturing skills! Thank you all for coming.
We would also like to hereby express our greatest gratitude to the following surgeons for being our respected teachers of the workshop (name list according to alphabetical order of surname):
Dr. Ricky Chan
Dr. Cheung Moon Tong
Dr. Edmund Ip
Dr. David Lam
Dr. Anderson Tsang
Dr. Raymond Tsang
Thank you very much!
Click here to view the photos from this workshop!


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so, act now:
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Untitled:
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wheel poem:
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