phpBB team for its very nice GPL'ed forum toolkit.
Julian Seward for his memory debugger tool, Valgrind.
Without it, Torch3 wouldn't have been developped so fast!
Special
Léon Bottou and Yann Le Cun
for some ideas in gradient machines which are coming from their SN library (now available as the Lush library) and from Léon's Phd thesis.


{% include 'articles/includes/article-metadata.html' %} {% include 'articles/includes/story-content.html' %}


Charles Joseph Carlson
Democrat
Due to the pandemic, I am currently not employed. I have had successful careers in management in the beverage alcohol retail and software and IT services sectors.
Bachelors and Masters in Communications, Northwestern University, Evanston, IL
80550
My representation and advocacy over the last five years has primarily revolved around issues related to the independent liquor store industry in Colorado. As a board member of the Colorado Licensed Beverage Association (CLBA), I advocated for a legislative response to ballot initiatives proposed by grocers and convenience stores. I was one the the CLBA representatives in the negotiations that led to the drafting, passage and signing of the 2016 Liquor Compromise Bill. I was Vice Chairman of the Dept of Revenue Statutory Working Group to create a plan to implement sale of full strength beer in grocery and convenience stores. Through the Fort Collins Downtown Business Association, and in cooperation with the City and the Downtown Development Authority I also advocated for and supported the creation of the Fort Collins Street Outreach team to address issues of the homeless in downtown Fort Collins with an offer of help and services before involving law enforcement.
Donated to Amy Klobuchar's Presidential Campaign.
Fort Collins Downtown Business Association- member, board member and president elect Colorado Licensed Beverage Association- member, board member Colorado Department of Revenue Beer Sales Statutory Working Group- vice chairman Ravenna at La RIva HOA- board member Water Valley Sunset Bay Condominiums- board member, president
Gerrymandering of legislative districts as an intentional strategy to tilt power to any political party is antithetical to our democracy. Colorado's voters have chosen to create what I hope will be a fair and impartial method to draw state and federal legislative district maps free from legislative political interference. I want to be part of establishing this new and fairer method of legislative reapportionment.
As a champion debater in both high school and college I learned to understand, evaluate and effectively argue both sides of a proposition. This skill set will enable me to impartially evaluate competing opinions and proposals. As a trained and certified project manager, I understand how to manage multiple stakeholder groups with differing goals and needs to arrive at agreements that move projects toward completion. The Arbinger Institute "Developing and Implementing an Outward Mindset" training gives me communication and de-escalation skills that are sure to be needed as the legislative maps are drawn.
Throughout my business career, I have been a data driven, creative problem solver. Whether creating and implementing a plan for a new business or working to develop a pricing strategy to grow sales in a liquor store faced with new competition from the huge King Supers next door, I have been able to analyze problems, develop solutions and gain acceptance of my ideas.
Male


Regex Replace Configuration
Regex Replace is currently:
| Search | Replace | Flags | Actions |
|---|
Rule are implemented in the following fashion to each text node in the DOM (does not affect HTML elements):
regex = new RegExp(searchString, flags);
textNode = textNode.replace(regex, replaceString);
Find this on GitHub


Short summary of the app, what it does and how it works.
Text for Header 1
Text for Header 2
Text for Header 3
Text for Header 4
Text for Header 5


horizontal split window not working with command-t
-
Karl Baum
I am able to open a vertical split but when i enter <C-s> nothing happens and when i enter <C-CR> it just opens the file without split.
I am using command-t for macvim 7.3.107 on snow leopard 10.6.8 and most of the janus vim configuration.
https://github.com/carlhuda/janus
thx!
-karl
-
Greg Hurrell
I believe this is depends on what
TERM
you are using.If you are using a graphical client like MacVim then all the mappings will work out of the box, but if you are using Vim in the terminal, it is possible that some of the default mappings won't work because your key presses end up getting mapped to escape sequences and other weirdness may happen.
You can try twiddling your
TERM
settings, but generally the most straightforward workaround in this case is just to set up your own mapping which works in your terminal. Depending on how deeply you want to investigate, you can try to find out what key sequence is actually being sent to Vim by the terminal when you hitCTRL-<CR>
. Or you can just pick an alternative mapping that makes sense to you.You can set up your own mapping with the
g:CommandTAcceptSelectionSplitMap
setting. By default,CTRL-<CR>
andCTRL-S
are set to open the selection in a horizontal split. You may find thatCTRL-S
works already in your terminal. -
Karl Baum
Hi Wincent. I was able to get it working with this setting in my .vimrc.local
let g:CommandTAcceptSelectionSplitMap=['<CR>', '<C-g>']
I am honestly not sure how to figure out what is exactly being sent to vim. The interesting thing is that my friend also has janus installed and had the same issue with <C-s> for split windows.
Thanks for your help!
-karl
-
roovo
I've just hit the same issue (using iTerm2 on OSX Lion). The solution I've found (to getting the <C-s> combination working) is to put:
stty -ixon
in your .bashrc (or equivalent shell startup script). Understanding this is beyond my comprehension of things tty, but I got the info from the following thread where the same key combo wasn't getting through to readline.
http://groups.google.com/group/iterm2-discuss/browse_thread/thread/47700851d59386fb
-
anonymous
Solved: You dont need to modify anything in your .vimrc to use ctrl + s with command-t. The only thing you need to do is to add this to your ~/.bashrc :
stty -ixon
Thank you roovo
Reply
This topic is now closed.


SQLAlchemy models for nova data.
-
class AgentBuild(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents an agent build.
-
architecture
-
created_at
-
deleted
-
deleted_at
-
hypervisor
-
id
-
md5hash
-
os
-
updated_at
-
url
-
version
-
class Aggregate(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a cluster of hosts that exists in this zone.
-
availability_zone
-
created_at
-
deleted
-
deleted_at
-
hosts
-
id
-
metadetails
-
name
-
updated_at
-
class AggregateHost(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a host that is member of an aggregate.
-
aggregate_id
-
created_at
-
deleted
-
deleted_at
-
host
-
id
-
updated_at
-
class AggregateMetadata(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a metadata key/value pair for an aggregate.
-
aggregate_id
-
created_at
-
deleted
-
deleted_at
-
id
-
key
-
updated_at
-
value
-
class BandwidthUsage(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Cache for instance bandwidth usage data pulled from the hypervisor
-
bw_in
-
bw_out
-
created_at
-
deleted
-
deleted_at
-
id
-
last_refreshed
-
mac
-
start_period
-
updated_at
-
uuid
-
class BlockDeviceMapping(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents block device mapping that is defined by EC2
-
connection_info
-
created_at
-
delete_on_termination
-
deleted
-
deleted_at
-
device_name
-
id
-
instance
-
instance_uuid
-
no_device
-
snapshot_id
-
updated_at
-
virtual_name
-
volume_id
-
volume_size
-
class Certificate(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a x509 certificate
-
created_at
-
deleted
-
deleted_at
-
file_name
-
id
-
project_id
-
updated_at
-
user_id
-
class ComputeNode(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a running compute service on a host.
-
cpu_info
-
created_at
-
current_workload
-
deleted
-
deleted_at
-
disk_available_least
-
free_disk_gb
-
free_ram_mb
-
hypervisor_hostname
-
hypervisor_type
-
hypervisor_version
-
id
-
local_gb
-
local_gb_used
-
memory_mb
-
memory_mb_used
-
running_vms
-
service
-
service_id
-
updated_at
-
vcpus
-
vcpus_used
-
class ComputeNodeStat(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Stats related to the current workload of a compute host that are
intended to aid in making scheduler decisions.
-
compute_node_id
-
created_at
-
deleted
-
deleted_at
-
id
-
key
-
primary_join = 'and_(ComputeNodeStat.compute_node_id == ComputeNode.id, ComputeNodeStat.deleted == False)'
-
stats
-
updated_at
-
value
-
class Console(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a console session for an instance.
-
created_at
-
deleted
-
deleted_at
-
id
-
instance_name
-
instance_uuid
-
password
-
pool
-
pool_id
-
port
-
updated_at
-
class ConsolePool(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents pool of consoles on the same physical node.
-
address
-
compute_host
-
console_type
-
created_at
-
deleted
-
deleted_at
-
host
-
id
-
password
-
public_hostname
-
updated_at
-
username
-
class DNSDomain(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a DNS domain with availability zone or project info.
-
availability_zone
-
created_at
-
deleted
-
deleted_at
-
domain
-
project_id
-
scope
-
updated_at
-
class FixedIp(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a fixed ip for an instance.
-
address
-
allocated
-
created_at
-
deleted
-
deleted_at
-
host
-
id
-
instance_uuid
-
leased
-
network_id
-
reserved
-
updated_at
-
virtual_interface_id
-
class FloatingIp(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a floating ip that dynamically forwards to a fixed ip.
-
address
-
auto_assigned
-
created_at
-
deleted
-
deleted_at
-
fixed_ip_id
-
host
-
id
-
interface
-
pool
-
project_id
-
updated_at
-
class Instance(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a guest VM.
-
access_ip_v4
-
access_ip_v6
-
architecture
-
auto_disk_config
-
availability_zone
-
config_drive
-
created_at
-
default_ephemeral_device
-
default_swap_device
-
deleted
-
deleted_at
-
disable_terminate
-
display_description
-
display_name
-
ephemeral_gb
-
host
-
hostname
-
id
-
image_ref
-
injected_files = []
-
instance_type_id
-
kernel_id
-
key_data
-
key_name
-
launch_index
-
launched_at
-
launched_on
-
locked
-
memory_mb
-
name
-
os_type
-
power_state
-
progress
-
project_id
-
ramdisk_id
-
reservation_id
-
root_device_name
-
root_gb
-
scheduled_at
-
server_name
-
shutdown_terminate
-
task_state
-
terminated_at
-
updated_at
-
user_data
-
user_id
-
uuid
-
vcpus
-
vm_mode
-
vm_state
-
class InstanceFault(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
-
code
-
created_at
-
deleted
-
deleted_at
-
details
-
id
-
instance_uuid
-
message
-
updated_at
-
class InstanceIdMapping(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Compatability layer for the EC2 instance service
-
created_at
-
deleted
-
deleted_at
-
id
-
updated_at
-
uuid
-
class InstanceInfoCache(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a cache of information about an instance
-
created_at
-
deleted
-
deleted_at
-
id
-
instance
-
instance_uuid
-
network_info
-
updated_at
-
class InstanceMetadata(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a user-provided metadata key/value pair for an instance
-
created_at
-
deleted
-
deleted_at
-
id
-
instance
-
instance_uuid
-
key
-
updated_at
-
value
-
class InstanceSystemMetadata(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a system-owned metadata key/value pair for an instance
-
created_at
-
deleted
-
deleted_at
-
id
-
instance
-
instance_uuid
-
key
-
primary_join = 'and_(InstanceSystemMetadata.instance_uuid == Instance.uuid, InstanceSystemMetadata.deleted == False)'
-
updated_at
-
value
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents additional specs as key/value pairs for an instance_type
-
class InstanceTypeProjects(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represent projects associated instance_types
-
created_at
-
deleted
-
deleted_at
-
id
-
instance_type
-
instance_type_id
-
project_id
-
updated_at
-
class InstanceTypes(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represent possible instance_types or flavor of VM offered
-
created_at
-
deleted
-
deleted_at
-
disabled
-
ephemeral_gb
-
flavorid
-
id
-
instances
-
is_public
-
memory_mb
-
name
-
root_gb
-
rxtx_factor
-
swap
-
updated_at
-
vcpu_weight
-
vcpus
-
class IscsiTarget(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents an iscsi target for a given host
-
created_at
-
deleted
-
deleted_at
-
host
-
id
-
target_num
-
updated_at
-
volume
-
volume_id
-
class KeyPair(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a public key pair for ssh.
-
created_at
-
deleted
-
deleted_at
-
fingerprint
-
id
-
name
-
public_key
-
updated_at
-
user_id
-
class Migration(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a running host-to-host migration.
-
created_at
-
deleted
-
deleted_at
-
dest_compute
-
dest_host
-
id
-
instance_uuid
-
new_instance_type_id
-
old_instance_type_id
-
source_compute
-
status
-
updated_at
-
class Network(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a network.
-
bridge
-
bridge_interface
-
broadcast
-
cidr
-
cidr_v6
-
created_at
-
deleted
-
deleted_at
-
dhcp_start
-
dns1
-
dns2
-
gateway
-
gateway_v6
-
host
-
id
-
injected
-
label
-
multi_host
-
netmask
-
netmask_v6
-
priority
-
project_id
-
rxtx_base
-
updated_at
-
uuid
-
vlan
-
vpn_private_address
-
vpn_public_address
-
vpn_public_port
-
class NovaBase
Bases: object
Base class for Nova Models.
-
created_at = Column(None, DateTime(), table=None, default=ColumnDefault(<function <lambda> at 0x53ed398>))
-
delete(session=None)
Delete this object.
-
deleted = Column(None, Boolean(), table=None, default=ColumnDefault(False))
-
deleted_at = Column(None, DateTime(), table=None)
-
get(key, default=None)
-
iteritems()
Make the model object behave like a dict.
Includes attributes from joins.
-
metadata = None
-
next()
-
save(session=None)
Save this object.
-
update(values)
Make the model object behave like a dict
-
updated_at = Column(None, DateTime(), table=None, onupdate=ColumnDefault(<function <lambda> at 0x53ed410>))
-
class ProviderFirewallRule(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a rule in a security group.
-
cidr
-
created_at
-
deleted
-
deleted_at
-
from_port
-
id
-
protocol
-
to_port
-
updated_at
-
class Quota(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a single quota override for a project.
If there is no row for a given project id and resource, then the
default for the quota class is used. If there is no row for a
given quota class and resource, then the default for the
deployment is used. If the row is present but the hard limit is
Null, then the resource is unlimited.
-
created_at
-
deleted
-
deleted_at
-
hard_limit
-
id
-
project_id
-
resource
-
updated_at
-
class QuotaClass(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a single quota override for a quota class.
If there is no row for a given quota class and resource, then the
default for the deployment is used. If the row is present but the
hard limit is Null, then the resource is unlimited.
-
class_name
-
created_at
-
deleted
-
deleted_at
-
hard_limit
-
id
-
resource
-
updated_at
-
class QuotaUsage(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents the current usage for a given resource.
-
created_at
-
deleted
-
deleted_at
-
id
-
in_use
-
project_id
-
reserved
-
resource
-
total
-
until_refresh
-
updated_at
-
class Reservation(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a resource reservation for quotas.
-
created_at
-
deleted
-
deleted_at
-
delta
-
expire
-
id
-
project_id
-
resource
-
updated_at
-
usage
-
usage_id
-
uuid
-
class S3Image(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Compatibility layer for the S3 image service talking to Glance
-
created_at
-
deleted
-
deleted_at
-
id
-
updated_at
-
uuid
-
class SMBackendConf(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents the connection to the backend for SM.
-
config_params
-
created_at
-
deleted
-
deleted_at
-
flavor_id
-
id
-
sr_type
-
sr_uuid
-
updated_at
-
class SMFlavors(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a flavor for SM volumes.
-
created_at
-
deleted
-
deleted_at
-
description
-
id
-
label
-
updated_at
-
class SMVolume(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
-
backend_id
-
created_at
-
deleted
-
deleted_at
-
id
-
updated_at
-
vdi_uuid
-
class SecurityGroup(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a security group.
-
created_at
-
deleted
-
deleted_at
-
description
-
id
-
instances
-
name
-
project_id
-
updated_at
-
user_id
-
class SecurityGroupIngressRule(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a rule in a security group.
-
cidr
-
created_at
-
deleted
-
deleted_at
-
from_port
-
grantee_group
-
group_id
-
id
-
parent_group
-
parent_group_id
-
protocol
-
to_port
-
updated_at
-
class SecurityGroupInstanceAssociation(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
-
created_at
-
deleted
-
deleted_at
-
id
-
instance_uuid
-
security_group_id
-
updated_at
-
class Service(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a running service on a host.
-
availability_zone
-
binary
-
created_at
-
deleted
-
deleted_at
-
disabled
-
host
-
id
-
report_count
-
topic
-
updated_at
-
class Snapshot(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a block storage device that can be attached to a VM.
-
created_at
-
deleted
-
deleted_at
-
display_description
-
display_name
-
id
-
name
-
progress
-
project_id
-
status
-
updated_at
-
user_id
-
volume_id
-
volume_name
-
volume_size
-
class SnapshotIdMapping(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Compatibility layer for the EC2 snapshot service
-
created_at
-
deleted
-
deleted_at
-
id
-
updated_at
-
uuid
-
class TaskLog(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Audit log for background periodic tasks
-
created_at
-
deleted
-
deleted_at
-
errors
-
host
-
id
-
message
-
period_beginning
-
period_ending
-
state
-
task_items
-
task_name
-
updated_at
-
class VirtualInterface(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a virtual interface on an instance.
-
address
-
created_at
-
deleted
-
deleted_at
-
id
-
instance_uuid
-
network_id
-
updated_at
-
uuid
-
class Volume(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a block storage device that can be attached to a VM.
-
attach_status
-
attach_time
-
availability_zone
-
created_at
-
deleted
-
deleted_at
-
display_description
-
display_name
-
ec2_id
-
host
-
id
-
instance_uuid
-
launched_at
-
mountpoint
-
name
-
project_id
-
provider_auth
-
provider_location
-
scheduled_at
-
size
-
snapshot_id
-
status
-
terminated_at
-
updated_at
-
user_id
-
volume_type_id
-
class VolumeIdMapping(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Compatibility layer for the EC2 volume service
-
created_at
-
deleted
-
deleted_at
-
id
-
updated_at
-
uuid
-
class VolumeMetadata(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents a metadata key/value pair for a volume
-
created_at
-
deleted
-
deleted_at
-
id
-
key
-
updated_at
-
value
-
volume
-
volume_id
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represents additional specs as key/value pairs for a volume_type
-
class VolumeTypes(**kwargs)
Bases: sqlalchemy.ext.declarative.Base, nova.db.sqlalchemy.models.NovaBase
Represent possible volume_types of volumes offered
-
created_at
-
deleted
-
deleted_at
-
id
-
name
-
updated_at
-
volumes


Many people know their birthdays but do not know the day of the week they were born.
this application enables one to know the day of the week they were born.when the user
gives the details of his/her birthday,the application gives the day they were born and
also outputs his/her correspondin Ghanian name.when the user fills the form below and
submits it,he/she receives the
akan name is


---
layout: page
title:
permalink: /withBlog
published: true
---
Welcome to my website and blog!
My name is Zhilei Zhao. I'm currently a graduate student in the
McBride Lab at
Princeton University.
I'm interested and trained in the fields of neurobiology and evolutionary biology.
My research focuses on the intersection of these two fields: neural circuits underlying animal behaviors and evolution of those circuits. For 5 years, I've been working with my amazing advisor
Prof. Carolyn (Lindy) McBride
on the evolution of olfactory circuits in the yellow fever mosquito Aedes aeygpti.
We want to find out why they became so attracted to human odor during evolution, which makes them devastatingly efficient for spreading diseases to humans.
You can find out more about my research on the
Research and Publication page,
and more about me through my CV.
I also do "research" on topics that I'm curious about, ranging from human evolution to
world histories, ancient Chinese philosophy... Some of which were summarized as 'mini-reviews'
in the Blog page, without any peer reviewing of course (or you could be my reviewer :')


At ScholaS, we are committed to protect your privacy as a visitor or user of this website. The company does not sell, disseminate, disclose, trade, transmit, transfer, share, lease or rent any personally identifiable information to any third party unless and until it is specifically authorized by you. We follow strict guidelines and policies with regard to maintaining privacy of data or information we collect as declared in this privacy policy.
We collect your e-mail address, phone numbers, home address, location of city or town and the pin code and other personal information to serve you better. Whenever you use your account we keep records of your internet protocol address, the date and time of logging in and out on our website. We use this information, which does not identify individual users, to analyze trends, to administer the site, to track users' movements around the site and to gather demographic information about our user base as a whole. We do not share this information with anyone. Registrant with whom we have an affiliate agreement may collect data for the purpose of gathering information, in order to assist you and to effect admissions more systematically & not for any commercial purposes.
We only use the e-mail address and the phone number of the registrants for the purpose of communication only. We never use or share the personally identifiable information provided to us online in an unauthorized manner. We also provide you an opportunity to opt out or withdraw your account in case the registrant does not wish to share his personal information with us.
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To prevent unauthorized access and pilferage we maintain strict data confidentiality, and ensure the correct use of information. We have put in place appropriate physical, electronic, and managerial procedures to safeguard and secure the information we collect online. We are not under any kind of obligation to share any information or data posted or shared with us by the user or the registrant with any third party whosoever.
This website contains links to third party websites that are not controlled by ScholaS. These third party links are made available to the user as a convenience and the user agrees to use these links at own risk. The company is not responsible for the any content or part of the content of the third party websites linked to the ifee.in or the company.
Without prejudice to the clauses mentioned above company is authorized to share any information demanded by any authority or person in compliance with any law, rule, regulation, circular or direction issued by the Government of India, or of the State, or Union Territory or any other authority under the territory of India.
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Raspberry Pi
For this rotation, we worked with raspberry pi. One thing we did was copy some of the basic arduino wiring we had done but using python amonst simpler programming on raspberry pi to do the same function. I learned some valuable skills that I will use with my final project.


{% extends "skeleton.html" %} {% load static %} {% block content %}
Share it with your colleagues and collaborators:
Please also consider adding a mention or link to the pledge on your website.
There are similar pledges that you might also want to support:
{% endblock %}


Meteora.Searchlist
Search for your country name. Modify the form and see the results being updated everythime you change something, click on the results to execute a callback.
Search for world countries
Country name:
Display:
name
code
name and code
Case sensitive.
Order
ascendent
descendent
Search results


FPLManager
Effortlessly harness the power of Linear Programming to optimise your fantasy football squad
{% extends 'base.html' %}
{% load static %}
{% block styles %}
{% endblock styles %}
{% block content %}
Effortlessly harness the power of Linear Programming to
optimise your fantasy football squad
FPLManager


Authors: Yung-Hsiang Chou and Jean-Fu Kiang
Source: FERMAT, Volume 1, Article 9, Jan.-Feb., 2014
Abstract: A proper set of models are carefully selected from the literatures to form a wholistic perspective in simulating the wave propagation in evaporation ducts, under a close-to-realistic environment. The split-step Fourier (SSF) propagation algorithm is applied to analyze the propagation properties in evaporation ducts above a rough sea surface, with turbulence in the ducts. The scattering effect of the rough sea surface is modeled with an effective reflection coefficient, including the Miller-Brown correction factor for surface roughness. The turbulence effect is simulated with a two-dimensional Kolmogorov power spectrum of refractive index fluctuation, which is derived from the threedimensional Kolmogorov power spectrum using the WienerKhinchin theorem, including the anisotropic effect of the outer scales. The average M-profile, the outer scales of turbulence, and the structure constant of the refractive index are categorized under different atmospheric conditions. Simulation results are presented and discussed over all possible atmospheric conditions to better understand the effect of turbulence on the evaporation ducts.
Index Terms: Propagation, split-step Fourier (SSF) algorithm, evaporation duct, rough surface, turbulence, Kolmogorov power spectrum, refractive index fluctuation.
View PDF
Effect of Turbulence on Wave Propagation in Evaporation Ducts above a Rough Sea Surface


Trent Pancy
Do It To It - Freestyle Rap & Improvisation
Freestyle Rap & Improvisation – Do It To It is a quick and dirty
introduction to everything you need to know when it comes to rap and
improvisation. This workshop focuses on the basics of rhyming, rhythm,
beatboxing, and everything else you need to step up and own the stage.
We’ll also jump into scenes to discover how much fun it can be to
incorporate rap (or any rhyme skills) into your short form AND long form
improvisation.
Trent has been studying, performing and teaching improv for over 12
years. Armed with a BA in Theatre Arts from Kalamazoo College,Trent
moved to Chicago, where he completed the improv programs at The Second
City Conservatory, The Second City Music Program, the iO Theatre
Training Center, and also trained at ComedySportz Chicago.Trent
currently lives and works in Tampere, Finland, where he teaches,
produces and performs improv and stand up comedy.
Since moving to Finland, Trent has made his living producing, performing,
and teaching improv to established improvisers, beginners, and as a
consulting tool through Applied Improvisation. Trent teaches improv
classes weekly through his own training center The improvAcademy, as
well as public and private workshops for teams all throughout Finland
and Europe, including Austria, Belgium, Estonia, Germany,The
Netherlands, Spain, and more.
Notable international festival teaching experiences include:
The Finland International Improv Festival (2012-2015) The BIG IF
(2014)
ImproAmsterdam (2015)
Workshop takes place at Rahvaülikooli teatrikeskus.
Workshop fee: 18€. Booking: tilt@improfestival.ee


Types of Web Services
On the conceptual level, a service is a software component provided through a network-accessible endpoint. The service consumer and provider use messages to exchange invocation request and response information in the form of self-containing documents that make very few assumptions about the technological capabilities of the receiver.
On a technical level, web services can be implemented in various ways. The two types of web services discussed in this section can be distinguished as “big” web services and “RESTful” web services.
“Big” Web Services
In Java EE 6, JAX-WS provides the functionality for “big” web services, which are described in Chapter 19, Building Web Services with JAX-WS. Big web services use XML messages that follow the Simple Object Access Protocol (SOAP) standard, an XML language defining a message architecture and message formats. Such systems often contain a machine-readable description of the operations offered by the service, written in the Web Services Description Language (WSDL), an XML language for defining interfaces syntactically.
The SOAP message format and the WSDL interface definition language have gained widespread adoption. Many development tools, such as NetBeans IDE, can reduce the complexity of developing web service applications.
A SOAP-based design must include the following elements.
A formal contract must be established to describe the interface that the web service offers. WSDL can be used to describe the details of the contract, which may include messages, operations, bindings, and the location of the web service. You may also process SOAP messages in a JAX-WS service without publishing a WSDL.
The architecture must address complex nonfunctional requirements. Many web service specifications address such requirements and establish a common vocabulary for them. Examples include transactions, security, addressing, trust, coordination, and so on.
The architecture needs to handle asynchronous processing and invocation. In such cases, the infrastructure provided by standards, such as Web Services Reliable Messaging (WSRM), and APIs, such as JAX-WS, with their client-side asynchronous invocation support, can be leveraged out of the box.
RESTful Web Services
In Java EE 6, JAX-RS provides the functionality for Representational State Transfer (RESTful) web services. REST is well suited for basic, ad hoc integration scenarios. RESTful web services, often better integrated with HTTP than SOAP-based services are, do not require XML messages or WSDL service–API definitions.
Project Jersey is the production-ready reference implementation for the JAX-RS specification. Jersey implements support for the annotations defined in the JAX-RS specification, making it easy for developers to build RESTful web services with Java and the Java Virtual Machine (JVM).
Because RESTful web services use existing well-known W3C and Internet Engineering Task Force (IETF) standards (HTTP, XML, URI, MIME) and have a lightweight infrastructure that allows services to be built with minimal tooling, developing RESTful web services is inexpensive and thus has a very low barrier for adoption. You can use a development tool such as NetBeans IDE to further reduce the complexity of developing RESTful web services.
A RESTful design may be appropriate when the following conditions are met.
The web services are completely stateless. A good test is to consider whether the interaction can survive a restart of the server.
A caching infrastructure can be leveraged for performance. If the data that the web service returns is not dynamically generated and can be cached, the caching infrastructure that web servers and other intermediaries inherently provide can be leveraged to improve performance. However, the developer must take care because such caches are limited to the HTTP GET method for most servers.
The service producer and service consumer have a mutual understanding of the context and content being passed along. Because there is no formal way to describe the web services interface, both parties must agree out of band on the schemas that describe the data being exchanged and on ways to process it meaningfully. In the real world, most commercial applications that expose services as RESTful implementations also distribute so-called value-added toolkits that describe the interfaces to developers in popular programming languages.
Bandwidth is particularly important and needs to be limited. REST is particularly useful for limited-profile devices, such as PDAs and mobile phones, for which the overhead of headers and additional layers of SOAP elements on the XML payload must be restricted.
Web service delivery or aggregation into existing web sites can be enabled easily with a RESTful style. Developers can use such technologies as JAX-RS and Asynchronous JavaScript with XML (AJAX) and such toolkits as Direct Web Remoting (DWR) to consume the services in their web applications. Rather than starting from scratch, services can be exposed with XML and consumed by HTML pages without significantly refactoring the existing web site architecture. Existing developers will be more productive because they are adding to something they are already familiar with rather than having to start from scratch with new technology.
RESTful web services are discussed in Chapter 20, Building RESTful Web Services with JAX-RS. This chapter contains information about generating the skeleton of a RESTful web service using both NetBeans IDE and the Maven project management tool.


Hey, my name is Isabel! Thank you for visiting my site and I hope you enjoy getting to know me! I love family, friends, movie nights, and good food Isabel O.


|
Sensor Fusion Library
0.4.0
Orientation sensing for Espressif (ESP32, ESP8266) processors
|
Application-specific status subsystem. More...
Go to the source code of this file.
Classes | |
| struct | StatusSubsystem |
| StatusSubsystem() provides an object-like interface for communicating status to the user. More... | |
Typedefs | |
| typedef struct StatusSubsystem | StatusSubsystem |
| StatusSubsystem() provides an object-like interface for communicating status to the user. | |
Functions | |
| void | initializeStatusSubsystem (StatusSubsystem *pStatus) |
Application-specific status subsystem.
Applications may change how they choose to display status information. The default implementation here uses LEDs. You may swap out implementations as long as the "Required" methods and states are retained.
| void initializeStatusSubsystem | ( | StatusSubsystem * | pStatus | ) |
initializeStatusSubsystem() should be called once at startup to initialize the data structure and to put hardware into the proper state for communicating status.


Coding quality
I value software quality. Higher quality software has fewer defects, better security, and better performance, which leads to happier users who can work more effectively. Code reviews are an effective method for improving software quality. McConnell (2004) suggests that unit testing finds approximately 25% of defects, function testing 35%, integration testing 45%, and code review 55-60%. While this means that none of these methods are good enough on their own and that they should be combined, clearly code review is an essential tool here.
This library is therefore developed with several techniques, such as coding styling, low complexity, docstrings, reviews, and unit tests. Such conventions are helpfull to improve the quality, make the code cleaner and more understandable but alos to trace future bugs, and spot syntax errors.
library
The file structure of the generated package looks like:
path/to/findpeaks/
├── .gitignore
├── CHANGELOG.rst
├── docs
│ ├── conf.py
│ ├── index.rst
│ └── ...
├── LICENSE
├── MANIFEST.in
├── NOTICE
├── findpeaks
│ ├── __init__.py
│ ├── __version__.py
│ └── findpeaks.py
├── README.md
├── requirements.txt
├── setup.cfg
├── setup.py
└── tests
├── __init__.py
└── test_findpeaks.py
Style
This library is compliant with the PEP-8 standards. PEP stands for Python Enhancement Proposal and sets a baseline for the readability of Python code. Each public function contains a docstring that is based on numpy standards.
Complexity
This library has been developed by using measures that help decreasing technical debt.
Version 2.1.0 of the findpeaks
library scored, according the code analyzer: 4.36, for which values > 0 are good and 10 is a maximum score.
Developing software with low(er) technical dept may take extra development time, but has many advantages:
Higher quality code
easier maintanable
Less prone to bugs and errors
Higher security
Unit tests
The use of unit tests is essential to garantee a consistent output of developed functions.
The following tests are secured using tests.test_findpeaks()
:
The input are checked.
The output values are checked and whether they are encoded properly.
The check of whether parameters are handled correctly.
pytest tests\test_findpeaks.py


|
|
This listing is far from complete. It is intended to provide
recognition to currently active research projects. The fruits of
successfully completed activities might be listed as available tools or commercial
systems.
If you would like to be listed, or
to update your listing, please mail us.
- Academy of Scienes, Bucharest, Rumania
- The Center for Research in Machine Learning and Natural Language Processing.
- Brandeis University
- Interaction Lab
- Brigham Young University
- Brown University
- Carnegie Mellon Institute
- Advanced Computer Tutoring Project: studies how people acquire and organize knowledge and produce intelligent behavior.
- Colby College
- CPU Sim: courseware package for computer CPU simulation.
- Composers Toolbox: precomposition environment for musical exploration of MIDI and sampled sounds.
- Conservatoire National Superieur De Musique De Lyon, France
- Cornell University
- MacHermes: framework for creating and executing continuous simulations.
- Ecolee des Mines de Saint Etienne, France
- AIDE: expert systems shell.
- Fraunhofer-Institute for Material Flow and Logistics, Germany
- Extra, Wareplan: system for the selection of transportation media and storage systems.
- Assist: expert system for Layout Planning.
- Fuzzy-Bplan: scheduling component using fuzzy logic rules.
- GETA (Study Group for Machine Translation), IMAG (Informatique & Mathematiques Appliquées de Grenoble), UJF (Université Joseph Fourier), France
- SAMBRE: Software Engineering for Natural Language Processing.
- Gonzaga University (Spokane, WA)
- Leonard Hermens is working on self-customizing applications which become more useful as they adapt to the user.
- Hampshire College
- Distributed Lisp
- Harvard Graduate School of Design
- EMAPS: extendable, object-oriented environment for manipulating and displaying geographic information (GIS).
- CLOOGE: simple graphics environment, as introduction to programming in environmental design, and emulator of AutoCAD's AutoLISP.
- Hirosaki University, Japan
- So-Ketsu: system for representing Kanji-characters.
-
Idaho National Energy Laboratories
- Robotics
- Istituto Dalle Molle di Studi sull'Intelligenza Artifciale
(IDSIA), Switzerland
- Pail: Portable Artificial Intelligence Lab, a tool for studying and expanding on AI.
- IS Robotics, Inc.
- Manufacture of autonomous mobile robots, robotic systems, and
software for control of embedded systems, including those for space explaration.
- Istituto Tecnologie Didattiche, Italy
- ESM-BASE: multimedia database of learning material.
- DIScourse: integrated courseware development system.
- H-GRAPH: self-configurable graph editor.
- Johannes Kepler University, Austria
- Johns Hopkins University, Applied Physics Laboratory
- Rule-Based Supervisory Control Experiments: Experimental platform
for investigating human interaction with rule-based supervisory
control systems; provides real-time air-defense-like scenarios,
supports user control actions, records scenario events and user
responses, provides tools for data analysis
- The
Kawagoe Lab, Japan.
- Investigates informational and computational theory of human-behaviors and emergent properties of social behaviors using Game Thoery, Artificial Intelligence, Artificial Life, Genetic Algorithm and Genetic Programming.
- Kent State
- Symbolic and Algebraic Compuation
- Massachusetts Institute of Technology
- MIT Artificial Intelligence Laboratory
- AI Lab mobile robots
- Cog project:
a prototype humanoid robot.
- CL-HTTP: A World Wide Web server written in Common Lisp.
- START: Natural Language System
- MIT Media Laboratory
- Henry
Lieberman and Programming by Example
- StarLogo:
massively-parallel version of Logo, designed to help students
experiment with decentralized systems and self-organizing phenomena.
- Cima: machine-learning system for programming by example.
- ECM: extensible linear context model.
- Parquet: hierarchical decomposition model inducer.
- MIT Lab for Advanced Technology in the Humanities
- ALLP NLP
system: complete Natural Language Processing system (text recognition
to language independent structure, construction of language
independently represented response and generation to text, with error
detection, recovery, and response), intended for foreign language
instruction.
- MIT Lab for Computer Science
-
MCC
- A Lisp dialect called
Rosette
for distributed agents using a prototype-based object system.
- Montreal Neurological Intstitute
- JANUS: knowledge-engineering tool to allow non-computer-literate experts to develop hierarchic expert system rules.
- PAL (Psycholinguistic Assessment Of Language) Analysis System: hybrid expert system/application for scoring and analyzing results from psycholinguistic tests.
- National Center for Supercomputer Applications
- National Central University, Taiwan
- Ohio State University, Mershon International Studies Review
- Oregon State University
- Oxford University
- Politecnico di Milano
-
Aritificial Intelligence and Robotics Project
- Princeton University
- Stanford University
- Knowledge Systems
Laboratory (KSL)
- CAREL: a distributed Lisp.
- PACT: Palo Alto Collaboration Testbed- concurrent engineering project. Designworld: semi-automated design system from conceptual design to robotic assembly, diagnosis, and repair.
- Section on Medical Informatics
- Medical Computer aided learning: knowledge based simulation and decision analysis software.
- Netview: Bayesian belief network knowledge engineering and
visualization tool.
- Tokyo Engineering University, Japan
- MEG: visualization system for Electoencepahrograph and Magnetoencepharograph.
- GTool: simulation game construction tool.
- TCL: object-oriented langauge.
- Trinity University
- Universitaet Wuerzburg, Institut fuer Informatik VI, Germany
- Universite Joseph Fourier, France
- NOOS: Neural Network Object Oriented System (biological).
- University of California, Berkeley
- Boxer: fully integrated work and materials development
environment (for students, teachers and developers) comprising:
always-available text and hypertext editing, dynamic and interactive
graphical resources, complex data management capability, and full
programmability.
- University of California, Los Angeles
- Commotion Lab
- University of California, Santa Cruz
- Animated Plot: application to create a custom animation of data from spacecraft attitude sensing system.
- Revenge of Tetris: game.
- Stock project: financial analysis.
- University of Cincinnati
- University of Colorado
- Agentsheets: Agentsheets is an authoring environment that features a versatile construction paradigm to build dynamic, visual environments for a wide range of problem domains such as art, artificial life, distributed artificial intelligence, education, environmental design, object-oriented programming, simulation and visual programming.
- A graphic evaluator of Design Criteria: Agents represented as
meters and guages score how well plans of urban areas meet design
criteria. Electronic Cocktail Napkin: sketch based index to visual
databases, and sketch environment for designers.
- University of Fribourg, Switzerland
- University of Hamburg, Germany
- University of Kiel, Germany
- Apply:
Lisp to C translation.
- University of Massachusetts, The Experimental Knowledge Systems Laboratory
- CLASP (Common Lisp
Analytical Statistics Package): tool for visualizing and statistically analyzing data.
- University of Maryland
-
Autonomous Mobile Robotics Lab
- University of Miami
- LOGOS:
Declarative Logic Programming offers the possibility of simply telling
the computer what to do, instead of how to do it.
- University of Michigan
- MovePlan: project management package to help create facility layouts or layouts of construction sites where facility presence varies based on a CPM schedule.
AUTOSIM: commercial code-generator for simulation of mechanical systems.
- University of Minnesota
- University of Nijmegen, Netherlands
- University of Nottingham, England
- University of Pennsylvania
- TraumAID: decision-support tool to assist physicians with the diagnosis and treatment of victims of penetrating trauma.
- University of Puget Sound
- University of Rochester
- TCP text-to-speech server.
- University of Souther California
- LOOM: A Knowledge Representation System
- University of Texas at MB, Dept. of Anesthesiology
- AXON: knowledge-based radiologic image retrieval using "axes" of clinical relevance.
- University of Toronto, Dynamic Graphics Project, Canada
- Print utility: general purpose document printing utility.
- Picture-array: views displaying arrays of pictures.
- Shape grammar system: system for perfoming shape computations.
- University of Trier, Germany
- Episodic Learner Model:
The Adaptive Remote Tour (ELM-ART) -- An introductory Lisp Course based on
the text materials and some intelligent features (e.g. diagnosis of
problem solutions) using a learning environment called ELM-PE.
- University of Tsukuba, Japan
- University of Wales, Cardiff, United Kingdom
- University of Waterloo, Canada
- Quail: An object-oriented quantitative statistical programming environment.
- Vassar
- Untangle: An interface to WWW
navigational knowledge based on description logics
- Yale Medical School
- Xerox PARC
- XPOST: processes a sentence to return a sentence with each word tagged with the most likely part-of-speech tag.
|


The most likely way for the world to be destroyed, most experts agree, is by accident. That's where we come in; we're computer professionals. We cause accidents. --Nathaniel S. Borenstein [ source]


VO frontend status
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Group Graphs
]
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Break free from legacy WMS processes with fade-into-background modules that replaces dozens of manual functions and scales for operations growth.
Leverage on the power of A.I. to adapt and orchestrate to your fulfilment future. One software suite that unifies human-robot operations specific to your operations.
De-couple effectively from any particular hardware and software brands while enabling orchestration, optimization and visibility across all warehouse operation software tools.
Increase human/robot efficiency and ROI by 40-60%
Seamlessly enable human-robot interaction in any hybrid arrangement to suit operations
Save 95% with simulation vs traditional planning methods for optimal number of robots, chargers and racks for operations based on demand patterns and warehouse layout during transition planning
Deploy robots based on function and need, rather than based on brand, in one single operation. Seamlessly execute operations across different robot platforms
Save over 50% on excess robots by determination with simulation based on current and future operation variables
Lower cost base of picks allows for greater business acquisition potential. Maximization of current warehouse during robot operations transition without increasing physical footprint


{% set links = mkt_admin_site_links() %} {% macro ul(links, section) %}
{{ ADMIN_MESSAGE|safe }}
{% endif %} {% if settings.READ_ONLY %}{{ _("Some features are temporarily disabled while we perform website maintenance. We'll be back to full capacity shortly.") }}
{% endif %}


---
title: Integrating VRaptor with Tagria
---
# Integrating VRaptor with Tagria
## by Jonatan Lemes
Tagria is an open source component suit framework that help build beautiful view in minutes.
Tagria integrates perfectly with any action based MVC framework for java including VRaptor.
You can found more information visiting Tagria project.
The first step is include the Tagria dependency in your Maven project as described below.
~~~
#!xml
com.jslsolucoes
tagria-lib
1.0.2
~~~
And for the last step, you need to declare the `Servlet` that will respond Tagria requests.
In the example below, any request to the URL `/tagria/*` will be forwarded to Tagria components.
~~~
#!xml
tagria
com.jslsolucoes.tagria.lib.servlet.Tagria
tagria
/tagria/*
~~~
And now we have Tagria listening requests to build components.
By default, VRaptor does forwards to JSPs pages. Now just create an jsp and include tagria directives in your view.
~~~
#!xml
<%@ taglib uri="http://java.sun.com/jsp/jstl/core" prefix="c" %>
<%@ taglib uri="http://java.sun.com/jsp/jstl/functions" prefix="fn" %>
<%@ taglib uri="http://java.sun.com/jsp/jstl/fmt" prefix="fmt" %>
<%@ taglib uri="http://tagrialib.jslsolucoes.com/tags/html" prefix="html"%>
<%@ taglib uri="http://tagrialib.jslsolucoes.com/tags/ajax" prefix="ajax"%>
<%@ taglib uri="http://tagrialib.jslsolucoes.com/tags/x" prefix="x"%>
My firts view
~~~
You can found much more documentation about all components and examples visiting documentation.
Enjoy.


Spark Overview
Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for incremental computation and stream processing.
Downloading
Get Spark from the downloads page of the project website. This documentation is for Spark version 3.2.2. Spark uses Hadoop’s client libraries for HDFS and YARN. Downloads are pre-packaged for a handful of popular Hadoop versions. Users can also download a “Hadoop free” binary and run Spark with any Hadoop version by augmenting Spark’s classpath. Scala and Java users can include Spark in their projects using its Maven coordinates and Python users can install Spark from PyPI.
If you’d like to build Spark from source, visit Building Spark.
Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS), and it should run on any platform that runs a supported version of Java. This should include JVMs on x86_64 and ARM64. It’s easy to run locally on one machine — all you need is to have java
installed on your system PATH
, or the JAVA_HOME
environment variable pointing to a Java installation.
Spark runs on Java 8/11, Scala 2.12/2.13, Python 3.6+ and R 3.5+. Python 3.6 support is deprecated as of Spark 3.2.0. Java 8 prior to version 8u201 support is deprecated as of Spark 3.2.0. For the Scala API, Spark 3.2.2 uses Scala 2.12. You will need to use a compatible Scala version (2.12.x).
For Python 3.9, Arrow optimization and pandas UDFs might not work due to the supported Python versions in Apache Arrow. Please refer to the latest Python Compatibility page.
For Java 11, -Dio.netty.tryReflectionSetAccessible=true
is required additionally for Apache Arrow library. This prevents java.lang.UnsupportedOperationException: sun.misc.Unsafe or java.nio.DirectByteBuffer.(long, int) not available
when Apache Arrow uses Netty internally.
Running the Examples and Shell
Spark comes with several sample programs. Scala, Java, Python and R examples are in the
examples/src/main
directory. To run one of the Java or Scala sample programs, use
bin/run-example <class> [params]
in the top-level Spark directory. (Behind the scenes, this
invokes the more general
spark-submit
script for
launching applications). For example,
./bin/run-example SparkPi 10
You can also run Spark interactively through a modified version of the Scala shell. This is a great way to learn the framework.
./bin/spark-shell --master local[2]
The --master
option specifies the
master URL for a distributed cluster, or local
to run
locally with one thread, or local[N]
to run locally with N threads. You should start by using
local
for testing. For a full list of options, run Spark shell with the --help
option.
Spark also provides a Python API. To run Spark interactively in a Python interpreter, use
bin/pyspark
:
./bin/pyspark --master local[2]
Example applications are also provided in Python. For example,
./bin/spark-submit examples/src/main/python/pi.py 10
Spark also provides an R API since 1.4 (only DataFrames APIs included).
To run Spark interactively in an R interpreter, use bin/sparkR
:
./bin/sparkR --master local[2]
Example applications are also provided in R. For example,
./bin/spark-submit examples/src/main/r/dataframe.R
Launching on a Cluster
The Spark cluster mode overview explains the key concepts in running on a cluster. Spark can run both by itself, or over several existing cluster managers. It currently provides several options for deployment:
- Standalone Deploy Mode: simplest way to deploy Spark on a private cluster
- Apache Mesos (deprecated)
- Hadoop YARN
- Kubernetes
Where to Go from Here
Programming Guides:
- Quick Start: a quick introduction to the Spark API; start here!
- RDD Programming Guide: overview of Spark basics - RDDs (core but old API), accumulators, and broadcast variables
- Spark SQL, Datasets, and DataFrames: processing structured data with relational queries (newer API than RDDs)
- Structured Streaming: processing structured data streams with relation queries (using Datasets and DataFrames, newer API than DStreams)
- Spark Streaming: processing data streams using DStreams (old API)
- MLlib: applying machine learning algorithms
- GraphX: processing graphs
- SparkR: processing data with Spark in R
- PySpark: processing data with Spark in Python
API Docs:
- Spark Scala API (Scaladoc)
- Spark Java API (Javadoc)
- Spark Python API (Sphinx)
- Spark R API (Roxygen2)
- Spark SQL, Built-in Functions (MkDocs)
Deployment Guides:
- Cluster Overview: overview of concepts and components when running on a cluster
- Submitting Applications: packaging and deploying applications
- Deployment modes:
- Amazon EC2: scripts that let you launch a cluster on EC2 in about 5 minutes
- Standalone Deploy Mode: launch a standalone cluster quickly without a third-party cluster manager
- Mesos: deploy a private cluster using Apache Mesos
- YARN: deploy Spark on top of Hadoop NextGen (YARN)
- Kubernetes: deploy Spark on top of Kubernetes
Other Documents:
- Configuration: customize Spark via its configuration system
- Monitoring: track the behavior of your applications
- Tuning Guide: best practices to optimize performance and memory use
- Job Scheduling: scheduling resources across and within Spark applications
- Security: Spark security support
- Hardware Provisioning: recommendations for cluster hardware
- Integration with other storage systems:
- Migration Guide: Migration guides for Spark components
- Building Spark: build Spark using the Maven system
- Contributing to Spark
- Third Party Projects: related third party Spark projects
External Resources:
- Spark Homepage
- Spark Community resources, including local meetups
- StackOverflow tag
apache-spark
- Mailing Lists: ask questions about Spark here
- AMP Camps: a series of training camps at UC Berkeley that featured talks and exercises about Spark, Spark Streaming, Mesos, and more. Videos, slides and exercises are available online for free.
- Code Examples: more are also available in the
examples
subfolder of Spark (Scala, Java, Python, R)


Zend\Http\Client automatically handles HTTP redirections, and by default will follow up to 5 redirections. This can be changed by setting the maxredirects configuration parameter.
According to the HTTP/1.1 RFC, HTTP 301 and 302 responses should be treated by the client by resending the same request to the specified location - using the same request method. However, most clients to not implement this and always use a GET request when redirecting. By default, Zend\Http\Client does the same - when redirecting on a 301 or 302 response, all GET and POST parameters are reset, and a GET request is sent to the new location. This behavior can be changed by setting the strictredirects configuration parameter to boolean TRUE:
Forcing RFC 2616 Strict Redirections on 301 and 302 Responses
1 2 3 4 5 | // Strict Redirections
$client->setOptions(array('strictredirects' => true));
// Non-strict Redirections
$client->setOptions(array('strictredirects' => false));
|
You can always get the number of redirections done after sending a request using the getRedirectionsCount() method.
Zend\Http\Client provides an easy interface for adding cookies to your request, so that no direct header modification is required. Cookies can be added using either the addCookie() or setCookies method. The addCookie method has a number of operating modes:
Setting Cookies Using addCookie()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | // Easy and simple: by providing a cookie name and cookie value
$client->addCookie('flavor', 'chocolate chips');
// By directly providing a raw cookie string (name=value)
// Note that the value must be already URL encoded
$client->addCookie('flavor=chocolate%20chips');
// By providing a Zend\Http\Header\SetCookie object
$cookie = Zend\Http\Header\SetCookie::fromString('flavor=chocolate%20chips');
$client->addCookie($cookie);
// Multiple cookies can be set at once by providing an
// array of Zend\Http\Header\SetCookie objects
$cookies = array(
Zend\Http\Header\SetCookie::fromString('flavorOne=chocolate%20chips'),
Zend\Http\Header\SetCookie::fromString('flavorTwo=vanilla'),
);
$client->addCookie($cookies);
|
The setCookies() method works in a similar manner, except that it requires an array of cookie values as its only argument and also clears the cookie container before adding the new cookies:
Setting Cookies Using setCookies()
1 2 3 4 5 6 7 8 9 10 11 12 | // setCookies accepts an array of cookie values, which
// can be in either of the following formats:
$client->setCookies(array(
// A raw cookie string (name=value)
// Note that the value must be already URL encoded
'flavor=chocolate%20chips',
// A Zend\Http\Header\SetCookie object
Zend\Http\Header\SetCookie::fromString('flavor=chocolate%20chips'),
));
|
For more information about Zend\Http\Header\SetCookie objects, see this section.
Zend\Http\Client also provides a means for simplifying cookie stickiness - that is having the client internally store all sent and received cookies, and resend them on subsequent requests: Zend\Http\Client\Cookies. This is useful, for example when you need to log in to a remote site first and receive and authentication or session ID cookie before sending further requests.
Enabling Cookie Stickiness
1 2 3 4 5 6 7 8 9 10 11 12 | $cookies = new Zend\Http\Cookies();
// First request: log in and start a session
$client->setUri('http://example.com/login.php');
$client->setParameterPost(array('user' => 'h4x0r', 'password' => 'l33t'));
$response = $client->request('POST');
$cookies->addCookiesFromResponse($response, $client->getUri());
// Now we can send our next request
$client->setUri('http://example.com/read_member_news.php');
$client->addCookies($cookies->getMatchingCookies($client->getUri());
$client->request('GET');
|
For more information about the Zend\Http\Client\Cookies class, see this section.
Setting custom headers is performed by first fetching the header container from the client’s Zend\Http\Request object. This method is quite diverse and can be used in several ways, as the following example shows:
Setting A Single Custom Request Header
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | // Fetch the container
$headers = $client->getRequest()->getHeaders();
// Setting a single header. Will not overwrite any
// previously-added headers of the same name.
$headers->addHeaderLine('Host', 'www.example.com');
// Another way of doing the exact same thing
$headers->addHeaderLine('Host: www.example.com');
// Another way of doing the exact same thing using
// the provided Zend\Http\Header class
$headers->addHeader(Zend\Http\Header\Host::fromString('Host: www.example.com'));
// You can also add multiple headers at once by passing an
// array to addHeaders using any of the formats below:
$headers->addHeaders(array(
// Zend\Http\Header\* object
Zend\Http\Header\Host::fromString('Host: www.example.com'),
// Header name as array key, header value as array key value
'Cookie' => 'PHPSESSID=1234567890abcdef1234567890abcdef',
// Raw header string
'Cookie: language=he',
));
|
Zend\Http\Client also provides a convenience method for setting request headers, setHeaders. This method will create a new header container, add the specified headers and then store the new header container in it’s Zend\Http\Request object. As a consequence, any pre-existing headers will be erased.
Setting Multiple Custom Request Headers
1 2 3 4 5 6 7 | // Setting multiple headers. Will remove all existing
// headers and add new ones to the Request header container
$client->setHeaders(array(
Zend\Http\Header\Host::fromString('Host: www.example.com'),
'Accept-encoding' => 'gzip,deflate',
'X-Powered-By: Zend Framework'
));
|
You can upload files through HTTP using the setFileUpload method. This method takes a file name as the first parameter, a form name as the second parameter, and data as a third optional parameter. If the third data parameter is NULL, the first file name parameter is considered to be a real file on disk, and Zend\Http\Client will try to read this file and upload it. If the data parameter is not NULL, the first file name parameter will be sent as the file name, but no actual file needs to exist on the disk. The second form name parameter is always required, and is equivalent to the “name” attribute of an <input> tag, if the file was to be uploaded through an HTML form. A fourth optional parameter provides the file’s content-type. If not specified, and Zend\Http\Client reads the file from the disk, the mime_content_type function will be used to guess the file’s content type, if it is available. In any case, the default MIME type will be application/octet-stream.
Using setFileUpload to Upload Files
1 2 3 4 5 6 7 8 9 10 | // Uploading arbitrary data as a file
$text = 'this is some plain text';
$client->setFileUpload('some_text.txt', 'upload', $text, 'text/plain');
// Uploading an existing file
$client->setFileUpload('/tmp/Backup.tar.gz', 'bufile');
// Send the files
$client->setMethod('POST');
$client->send();
|
In the first example, the $text variable is uploaded and will be available as $_FILES['upload'] on the server side. In the second example, the existing file /tmp/Backup.tar.gz is uploaded to the server and will be available as $_FILES['bufile']. The content type will be guessed automatically if possible - and if not, the content type will be set to ‘application/octet-stream’.
Note
Uploading files
When uploading files, the HTTP request content-type is automatically set to multipart/form-data. Keep in mind that you must send a POST or PUT request in order to upload files. Most servers will ignore the request body on other request methods.
You can use a Zend\Http\Client to send raw POST data using the setRawBody() method. This method takes one parameter: the data to send in the request body. When sending raw POST data, it is advisable to also set the encoding type using setEncType().
Sending Raw POST Data
1 2 3 4 5 6 7 8 9 | $xml = '<book>' .
' <title>Islands in the Stream</title>' .
' <author>Ernest Hemingway</author>' .
' <year>1970</year>' .
'</book>';
$client->setMethod('POST');
$client->setRawBody($xml);
$client->setEncType('text/xml');
$client->send();
|
The data should be available on the server side through PHP‘s $HTTP_RAW_POST_DATA variable or through the php://input stream.
Note
Using raw POST data
Setting raw POST data for a request will override any POST parameters or file uploads. You should not try to use both on the same request. Keep in mind that most servers will ignore the request body unless you send a POST request.
Currently, Zend\Http\Client only supports basic HTTP authentication. This feature is utilized using the setAuth() method, or by specifying a username and a password in the URI. The setAuth() method takes 3 parameters: The user name, the password and an optional authentication type parameter. As mentioned, currently only basic authentication is supported (digest authentication support is planned).
Setting HTTP Authentication User and Password
1 2 3 4 5 6 7 8 | // Using basic authentication
$client->setAuth('shahar', 'myPassword!', Zend\Http\Client::AUTH_BASIC);
// Since basic auth is default, you can just do this:
$client->setAuth('shahar', 'myPassword!');
// You can also specify username and password in the URI
$client->setUri('http://christer:secret@example.com');
|
Zend\Http\Client was also designed specifically to handle several consecutive requests with the same object. This is useful in cases where a script requires data to be fetched from several places, or when accessing a specific HTTP resource requires logging in and obtaining a session cookie, for example.
When performing several requests to the same host, it is highly recommended to enable the ‘keepalive’ configuration flag. This way, if the server supports keep-alive connections, the connection to the server will only be closed once all requests are done and the Client object is destroyed. This prevents the overhead of opening and closing TCP connections to the server.
When you perform several requests with the same client, but want to make sure all the request-specific parameters are cleared, you should use the resetParameters() method. This ensures that GET and POST parameters, request body and headers are reset and are not reused in the next request.
Note
Resetting parameters
Note that cookies are not reset by default when the resetParameters() method is used. To clean all cookies as well, use resetParameters(true), or call clearCookies() after calling resetParameters().
Another feature designed specifically for consecutive requests is the Zend\Http\Client\Cookies object. This “Cookie Jar” allow you to save cookies set by the server in a request, and send them back on consecutive requests transparently. This allows, for example, going through an authentication request before sending the actual data-fetching request.
If your application requires one authentication request per user, and consecutive requests might be performed in more than one script in your application, it might be a good idea to store the Cookies object in the user’s session. This way, you will only need to authenticate the user once every session.
Performing consecutive requests with one client
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | // First, instantiate the client
$client = new Zend\Http\Client('http://www.example.com/fetchdata.php', array(
'keepalive' => true
));
// Do we have the cookies stored in our session?
if (isset($_SESSION['cookiejar']) &&
$_SESSION['cookiejar'] instanceof Zend\Http\Client\Cookies) {
$cookieJar = $_SESSION['cookiejar'];
} else {
// If we don't, authenticate and store cookies
$client->setUri('http://www.example.com/login.php');
$client->setParameterPost(array(
'user' => 'shahar',
'pass' => 'somesecret'
));
$response = $client->setMethod('POST')->send();
$cookieJar = Zend\Http\Client\Cookies::fromResponse($response);
// Now, clear parameters and set the URI to the original one
// (note that the cookies that were set by the server are now
// stored in the jar)
$client->resetParameters();
$client->setUri('http://www.example.com/fetchdata.php');
}
// Add the cookies to the new request
$client->setCookies($cookieJar->getMatchingCookies($client->getUri()));
$response = $client->setMethod('GET')->send();
// Store cookies in session, for next page
$_SESSION['cookiejar'] = $cookieJar;
|
By default, Zend\Http\Client accepts and returns data as PHP strings. However, in many cases there are big files to be received, thus keeping them in memory might be unnecessary or too expensive. For these cases, Zend\Http\Client supports writing data to files (streams).
In order to receive data from the server as stream, use setStream(). Optional argument specifies the filename where the data will be stored. If the argument is just TRUE (default), temporary file will be used and will be deleted once response object is destroyed. Setting argument to FALSE disables the streaming functionality.
When using streaming, send() method will return object of class Zend\Http\Response\Stream, which has two useful methods: getStreamName() will return the name of the file where the response is stored, and getStream() will return stream from which the response could be read.
You can either write the response to pre-defined file, or use temporary file for storing it and send it out or write it to another file using regular stream functions.
Receiving file from HTTP server with streaming
1 2 3 4 5 6 7 8 9 $client->setStream(); // will use temp file $response = $client->send(); // copy file copy($response->getStreamName(), "my/downloads/file"); // use stream $fp = fopen("my/downloads/file2", "w"); stream_copy_to_stream($response->getStream(), $fp); // Also can write to known file $client->setStream("my/downloads/myfile")->send();
The source code of this file is hosted on GitHub. Everyone can update and fix errors in this document with few clicks - no downloads needed.


Control the BeagleBone Bot via WebSockets
BeagleBone address:
Speed:
Server response:
Enter address of BeagleBot above and click
Server responses will be displayed here.


Data-Design
User Persona:
- Name: Beaker
- Age: 25
- Gender: Male
- Ethnicity: Muppet
- Occupation: Assistant scientist & test subject
- Technology: Multiple technology platforms used
- Needs, Goals, and Features :
- Needs the ability to find parts for a wide array of technical genres
- Electronic data sheets that are easy accessed.
- The ability to find mating/compatible parts by there part number.
User Story
Beaker would really like to find a one stop website for all his electronic parts needs.
User Case
Title: Parts to be ordered
Description: A BOM has been generated, and now parts need to be ordered.

Usage Preconditions: Should have a digikey account and log in.
Usage Prostconditions: Able to track orders when they ship and track orders in transit
Interaction Flow:
- Beaker logs into Digi-key.
- With the BOM he start entering part numbers to find parts.
- When a part has been found it's add to cart.
- Down load the datasheet for documentation.
- Review order
- Go to check out and place order
- Receive email with confirmation number and shipping dates
- Receive email with information on what shipped and tracking number.
Frequency of Use: Will be used Weekly
Back to Home Page
Conceptual Model


Search filter with ngRepeat
{{item.title}}
Search the list to find an item and drag it to the above list
{{item.title}}


John Smith
SAVED QUERIES
Showing 1 of 1 items| Search Name | RSS Feed | Schedule Time | Display View | Owner | App | Alert | Shairing | Status | Actions |
|---|---|---|---|---|---|---|---|---|---|
| Error on 19 oct | - | 12:00 am 24 June 2020 | Flash Time View | Admin | Search | 2 |
Private
|
Enable
|


Brulin SolVantage Vapor Solv gains Boeing 5408 approval 20 Nov 2019, 11:03 by Mike Richardson Share This Article Tweet ShareShareShare Subscribe to our FREE Newsletter Tags


Just put your image size after our URL and you'll get a placeholder.
For example:
tkirplaceholder.org/360x120/18bc9c
tkirplaceholder.org/image?size=360x120&background=18bc9c
Set text color the third argument
tkirplaceholder.org/360x120/8a2be2/deb887
tkirplaceholder.org/image?size=360x120&background=8a2be2&color=deb887


Install Vorlon.JS and add a single line of JavaScript to your web app. Run your server and start the Vorlon.JS dashboard.
Get StartedRemotely connect up to 50 devices simultaneously. Run your code on each or all of them with a single click.
View DemoDebug JavaScript on nearly any platform with a web environment. Plugins allow you to add new features and resources.
View PluginsPrerequisites: please note that Vorlon.js doesn't work for now with Node v18, please use v16 until we fix it.
Learn everything you need to about Vorlon.js 0.1.0 in this video
Install and run the Vorlon.JS server from npm:
$ npm i -g vorlon
$ vorlon
If you are on a mac
$ sudo npm i -g vorlon
$ sudo vorlon
You may receive an error from npm during installation about Python, node-gyp and socket.io. You can ignore this error as it is related to an optional module. Socket.io team is already aware of this issue.
Once Vorlon.JS is done installing, you can now run the server:
$ vorlon
The Vorlon server is running
With the server is running, open http://localhost:1337
in your browser to see the Vorlon.JS dashboard.
The last step is to enable Vorlon.JS by adding this script tag to your app:
<script src="http://localhost:1337/vorlon.js"></script>
Now when you open your app you should see your client appear on the dashboard.
(See this as another way to install the Vorlon.js server)
You could also download the desktop version of Vorlon. It is a standalone executable working on Windows and MacOS (Linux version is coming soon).
Vorlon desktop is built using the awesome Github Electron.


I am a Full Stack Web Developer with 10+ years of management and marketing experience. My favorite thing about the tech industry is that there is this constant drive to re-think and re-invent. It's always in motion and unfinished. I find that to be extremely exhilarating.
Besides coding, I love strong coffee, partaking in fitness challenges, traveling the globe and cooking things up in the kitchen.


#Genuary2021
January 10th
Prompt
// TREE
Interpretation
I was working on this prompt during the end of the "tree season" which also is the "end of trees season". So I used some "tree" images in plingo.
// TREE
I was working on this prompt during the end of the "tree season" which also is the "end of trees season". So I used some "tree" images in plingo.


From 1984-2000, Katz’s volume of supply on the secondary market was at around 10 paintings/year where the sell-through rate was at 88%. In the following ten years, his supply of paintings on the secondary market grew to 18 paintings/year with a reduced rate of unsold paintings at 80%, since half of his paintings did not sell in 2008. In the past 5 years, his average paintings supplied on the auction houses was at 27 paintings with a sell-through rate of 88%.
Overall, from 1984-2018, his total sales are at $42,971,759 which is $867,316 above the total low estimate price at $42,104,443, and around $16,801,750 short of his total high estimate price, at $59,773,509. Around 86％ of the Katz's 660 paintings produced were sold on the secondary market. Therefore, responding to Katz’s dominant auction sale performance and sell-through rate throughout his career and strong sales activity in 2018, investor interest in Katz’s artwork on the secondary market significantly increased.


--- layout: post title: PR companies engaging with bloggers date: 2006-11-16 00:00:00 categories: digital-media personal social ---
In the last month, I've noticed that I'm getting loads of emails from PR companies, contacting me with "interesting news" or offers to review or meet tech companies.
In one sense this is great: I'm genuinely interested in what goes on in the mobile industry, and anything which means I get to hear about more stuff is good by me. On the other hand I'm kind of nervous being a knowing part of someones communication strategy - I like the idea that what you read here (when it comes to the mobile industry) is independent, and biased only by my own neuroses, rather than those of a marketing department somewhere.


Appearance
Gastly has the shape of a black ball. There is a version that Gastly's body is 95% gas and 5% souls of dead people. He has large eyes and a mouth, from which two fangs protrude.
Due to the presence of a body made of gas, Gastly is able to slide to any place he wants. However, Gastly's body will shrink when exposed to strong winds. He can also make himself nearly invisible and get close to enemies unnoticed, and can sweep specified enemies, regardless of their size.


Plugin Information |
|---|
No information for the plugin 'drools' is available. It may have been removed from distribution. |
This plugin is deprecated. While a version 0.1 of this plugin was released, the code in subversion has been significantly reworked.. the content below on this page describes this work, but it was not completed or released.
Summary
This plugin integrates Drools with Hudson. It lets you define your own build, test and release workflows in a graphical designer, and execute them inside Hudson. The graphical representation allows non-developers to reason about and help design processes. It also gives a much better view of the state of a process at runtime. At a glance anyone can get an idea of wat is happening with a build.
Workflows can create tasks for human users too, e.g. manual testing or signing off on releases. This is also a way to input data during the workflow.
Getting Started
This assumes some familiarity with Hudson, Eclipse and Maven.
First, install the following
- The Drools Plugin for Hudson using the plugin manager (version 0.2)
- Eclipse 3.5
- The Drools Workbench (update site: http://downloads.jboss.com/drools/updatesite3.4/ )
- The Hudson extension to the Drools Workbench (update site: https://svn.dev.java.net/svn/hudson/trunk/hudson/plugins/drools/hudson.drools.updatesite, user:guest, no password)
Next, we'll create a Maven/Eclipse project to develop the workflows in.
- Put this pom.xml into a new directory.
- Use 'mvn eclipse:eclipse' to create an Eclipse project, and then import it. (Or use m2eclipse -- I didn't test this).
And then our first workflow...
- Create a new 'RuleFlow File' in the project and call it MyFirstWorkflow.rf. You should see three Workitems on the bottom left called 'Script', 'Build' and 'E-Mail'
- Open the properties view and select the workflow. Set Package to MyFirstWorkflow and Id to MyFirstWorkflow
- Add a 'Build' node. Select it and set properties Project to 'Project1' and Name to 'Project1'
- Add an End node
- Add connections from Start to Project1 and from Project1 to End
- Click the green checkmark to validate your workflow
To deploy it:
- Right-click the file, Hudson > Create Project
- Hudson URL should be filled in, enter username and password if necessary, enter project name: "MyFirstWorkflow"
- Go to Hudson, create a freestyle project called 'Project1' (no extra settings needed)
Then try it:
- Browse to Hudson
- Click on the MyFirstWorkflow project. You should see a the workflow graph.
- Start a MyFirstWorkflow build. On the build page you should see a graph for the workflow process instance.
- A Project1 build should be started.
Manual
The Drools plugin defines some custom work items you can use in your workflows.
Build
This is a custom work item for Hudson that starts a build and waits for completion.
Node properties:
- Project: name of project to build
- Complete when failed: complete the work item (advancing the workflow) if the build failed
- Complete when unstable: complete the work item (advancing the workflow) if the build is unstable
When the work item is not completed after the build, the user will have the choice (in the UI) to either accept the result or retry the build.
* All work item parameters of type string, boolean or RunWrapper are passed as parameters to the Hudson build.
* When build and work item are completed, the build will be available to the workflow as result parameter 'Build', wrapped in a RunWrapper.
Script
This work item represents a script, witten in Groovy that runs inside the Hudsn JVM and has access to all Hudson internals.
Scripts have access to the following parameters:
- session (the Drools StatefulKnowledgeSession)
- hudson (Hudson.getInstance())
- args (a map with the parameters passed by the workflow)
- out (a PrintWriter that logs to the build log)
In the script properties, only a 'Name' is specied. The actual scripts can be configured in the global Drools Management page, or on the project page (TODO).
If the script returns a Map, that is passed as a result to the workflow. Any other object will be wrapped in a Map with key 'result'.
When scripts fail (throw an exception), the workflow does not advance, and the user can manually restart them.If you don't want this, then don't throw an exception.
Human Task
A human task is a way to get user input during the workflow. Using a Groovy DSL you can define some parameters the user should enter.
The DSL code goes into the 'Content' property of the work item.
Syntax:
task(title:"Question?", private:false) { id_of_parameter_1 ( type: "string", description: "What is your reply ?", defaultValue: "default reply" ) id_of_parameter_2 type:"boolean", description: "bla", defaultValue: true id_of_parameter_3 type:"choice", description: "choice parameter", choices: [ "foo", "bar" ] }
- the single line and multiline parameters are equivalent
- valid types are string, boolean and choice
- defaultValue is optional (defaults to null or false)
- When completed, a result parameter will be created for every question, with the same id.
- If ActorId is present, only a Hudson user with the same id can complete the task
- If private is true, only the actor can see the task (not tested yet)
Events
On every build completion in Hudson, an event is created, called 'BuildComplete:projectName', which you can subscribe to in a workflow. However you should realize that this event may be triggered multiple times, and every event will be received by every running process instance. Consider starting this build from the workflow itself.
Additional information
- When a Run object (the record of a build) needs to be passed as a parameter or a result, it is always wrapped into a hudson.drools.RunWrapper object.
- The renderer of workflows supports WorkItem, HumanTask, Build, Script, Split, Event, Start, End and ForEach nodes.Other nodes work are rendered as a black&white box showing only the node name. Connections are always rendered as straight lines from center to center.


Good sans-serif fonts
What makes a sans-serif font good?
- Context-free recognition of “I” (capital “eye”) and “l” (lowercase “ell”) and “1” (digit one)
- Context-free recognition of “O” (capital “oh”) and “0” (digit zero) and “o” (lowercase “oh”)
- Availability of at least normal, bold, italic, and bold italic for formatting flexibility
- Permissive licensing (libre; free as in speech) to prevent legal issues during use
Background
Many fonts render “I” (capital “eye”) practically identical to “l” (lowercase “ell”), or “l” (lowercase “ell”) practically identical to “1” (digit one). Even those fonts that have three distinct glyphs, tend to let either “I” (capital “eye”) or “l” (lowercase “ell”) be a non-descript tall rectangle, meaning that the reader needs to know the font well, to determine which character the glyph represents. The problem is even worse if a text contains any “|” (vertical pipe) Similarly, many fonts have a “0” (digit zero) which is either identical to, or a narrower variant of “O” (capital “oh”), or have “0” (digit zero) virtually identical to “o” (lowercase “oh”). Again, without familiarity, or comparing “O” (capital “oh”) and “0” (digit zero) side-by-side, it can be hard to tell which is which. These problems exist with almost all sans-serif fonts today. A historical overview is given by Charles Bigelow in Oh, oh, zero!.
A solution
To enable instant recognition of each character, “I” (capital “eye”) must be fitted with slab-serifs (horizontal bars), while “l” (lowercase “ell”) gets a finial, “1” (digit one) maintains a prominent slanted top serif, and “0” (digit zero) has an inner slash or dot. Incidentally, this also avoids any confusion with “|” (vertical bar). While this may be obvious, very few fonts in fact do this. The only ones I’ve found living up to all the above requirements are (with links to repositories):
- Atkinson Hyperlegible (grotesque)
- Go (humanist)
- IBM Plex Sans1 (grotesque)
- Recursive Sans Casual1 (cursive)
- Recursive Sans Linear1 (slab-serif)
- Source Sans 32 (grotesque/humanist)
Notes:
- Requires font-feature-settings: 'zero' for slashed “0” (digit zero).
- Requires font-feature-settings: 'ss01', 'zero' for barred “I” (capital “eye”) and slashed “0” (digit zero).
Some editors do not allow choosing font features, which makes even these fonts inadequate.
Font samples
Click on a sample to make generic text on this page use that font:


Solution
The execution of other binaries might be prevented by adding the NOEXEC tag in the sudoer’s file. This works only if “sudo” has been compiled with noexec support and if the underlaying OS supports this as well.
hacker10 ALL= (root) NOEXEC: /bin/less /var/log/*
The following two screenshots shows the results of the previously described methods to run an arbitrary command or default editor.
Or just remove these binaries from Sudo
In the case of 'less'
When the environment variable LESSSECURE is set to 1, less
runs in a "secure" mode. This means these features are disabled:
! the shell command
| the pipe command
:e the examine command.
v the editing command
s -o log files
-k use of lesskey files
-t use of tags files
metacharacters in filenames, such as *
filename completion (TAB, ^L)
Less can also be compiled to be permanently in "secure" mode.
The trick is to make the environment variable readonly with the following command:
readonly LESSSECURE


--- layout: default title: Basic usage title_tag: true permalink: /getting-started/basic-usage/ --- {% assign field_name = "basic-usage" %} {% capture example_html %} {% endcapture %} {% capture example_js %} $( '#{{ field_name }}' ).select2( { theme: "bootstrap-5", width: $( this ).data( 'width' ) ? $( this ).data( 'width' ) : $( this ).hasClass( 'w-100' ) ? '100%' : 'style', placeholder: $( this ).data( 'placeholder' ), } ); {% endcapture %} {% include example.html %}
There are 2 versions of Select2 which changed some options. The Select2 Bootstrap 5 theme supports both 4.0.x and 4.1.x-rc.x. Which version of Select2 you use will change some of the usage for the Select2 Bootstrap 5 theme.
There are 2 ways to set the sizing of the Select2 element; using Select2 options, or using Bootstrap 5 classes and Select2 options. Between 4.0.x and 4.1.x-rc.x, Select2 changed the option name for adding classes to the main element (the one you see before opening the dropdown) from containerCssClass
to selectionCssClass
. See below for an example


Click and drag these songs to rank them from best to worst all time:
The Beatles: Twist and Shout
The Rolling Stones: Brown Sugar
Sex Pistols: I am an anarchist
Nirvana: Smells like teen spirit
The Eagles: Hotel California
Elvis Presley: Heartbreak Hotel
Aerosmith: Walk this way
Supertramp: Breakfast in America
The Ramones: Blitzkrieg Bop
The Clash: I fought the law
sleater kinney: modern girl
Jefferson Airplane: White Rabbit
Jimi Hendrix: All along the watchtower
Guns N' Roses: Welcome To The Jungle
AC/DC: Back in black
Led Zeppelin: Whole lotta love
Black Sabbath: Paranoid
The Who: Won't get fooled again
Van Halen: Runnin' with the Devil
The Rolling Stones: Paint it black
Mamas and the Papas: California Dreamin'
The Animals: House of the Rising Sun
Steppenwolf: Born to be wild
Pink Floyd: Another brick in the wall, part 2
Lynyrd Skynyrd: Free Bird
The Beatles: Come together
Janis Joplin: Me and Bobby McGee
Bruce Springsteen: I came for you
Robert Johnson: Me and the Devil Blues
Elvis Presley: That's allright, Mama (1954)
Procol Harum: Whiter Shade of Pale (1967)
the kinks: you really got me (1964)
The Rolling Stones: Gimme shelter (1969)


title = "Welcome to Rover"
url = "/"
layout = "login"
hidden = "0"
[Modal WhatsThisModal]
linkTitle = "Learn More"
linkClasses = "help small pop"
title = "Meet Rover"
partial = "whatisthis"
[UserLogin]
redirect = "home"
==
==
{% component 'UserLogin' %}
Rover is a museum visitor’s best friend. Rover will fetch recommendations of things for you to see and do at the museum. Sign up to get access to a complete list of activities, programs and exhibitions. {% component 'WhatsThisModal' %}


{{{head}}}
It’s easy and only takes 4 seconds
By creating an account, I accept Openwhyd's privacy policy.


A professional event space provided by Corinthian Events of San Jose, California. Featuring 12,000 sq. feet of beautifully appointed interior space and an outdoor patio area of more than 1000 sq. ft. The GlassHouse will be a venue for all professional business to meet and connect.


public abstract class TopFieldCollector extends TopDocsCollector < FieldValueHitQueue.Entry >
Collector
that sorts by
SortField
using
FieldComparator
s.
See the
create(org.apache.lucene.search.Sort, int, boolean, boolean, boolean, boolean)
method
for instantiating a TopFieldCollector.
EMPTY_TOPDOCS
,
pq
,
totalHits
| Modifier and Type | Method and Description |
|---|---|
boolean
|
acceptsDocsOutOfOrder
()
Return
true
if this collector does not
require the matching docIDs to be delivered in int sort
order (smallest to largest) to
Collector.collect(int)
.
|
static
TopFieldCollector
|
create
(
Sort
sort,
int numHits,
boolean fillFields,
boolean trackDocScores,
boolean trackMaxScore,
boolean docsScoredInOrder)
Creates a new
TopFieldCollector
from the given
arguments.
|
protected
TopDocs
|
newTopDocs
(
ScoreDoc
[] results,
int start)
Returns a
TopDocs
instance containing the given results.
|
protected void
|
populateResults
(
ScoreDoc
[] results,
int howMany)
Populates the results array with the ScoreDoc instances.
|
getTotalHits
,
topDocs
,
topDocs
,
topDocs
,
topDocsSize
collect
,
setNextReader
,
setScorer
public static TopFieldCollector create( Sort sort, int numHits, boolean fillFields, boolean trackDocScores, boolean trackMaxScore, boolean docsScoredInOrder) throws IOException
TopFieldCollector
from the given
arguments.
NOTE
: The instances returned by this method
pre-allocate a full array of length
numHits
.
sort
- the sort criteria (SortFields).
numHits
- the number of results to collect.
fillFields
- specifies whether the actual field values should be returned on
the results (FieldDoc).
trackDocScores
- specifies whether document scores should be tracked and set on the
results. Note that if set to false, then the results' scores will
be set to Float.NaN. Setting this to true affects performance, as
it incurs the score computation on each competitive result.
Therefore if document scores are not required by the application,
it is recommended to set it to false.
trackMaxScore
- specifies whether the query's maxScore should be tracked and set
on the resulting
TopDocs
. Note that if set to false,
TopDocs.getMaxScore()
returns Float.NaN. Setting this to
true affects performance as it incurs the score computation on
each result. Also, setting this true automatically sets
trackDocScores
to true as well.
docsScoredInOrder
- specifies whether documents are scored in doc Id order or not by
the given
Scorer
in
Collector.setScorer(Scorer)
.
TopFieldCollector
instance which will sort the results by
the sort criteria.
IOException
protected void populateResults( ScoreDoc [] results, int howMany)
TopDocsCollector
populateResults
in class
TopDocsCollector
<
FieldValueHitQueue.Entry
>
protected TopDocs newTopDocs( ScoreDoc [] results, int start)
TopDocsCollector
TopDocs
instance containing the given results. If
results
is null it means there are no results to return,
either because there were 0 calls to collect() or because the arguments to
topDocs were invalid.
newTopDocs
in class
TopDocsCollector
<
FieldValueHitQueue.Entry
>
public boolean acceptsDocsOutOfOrder()
Collector
true
if this collector does not
require the matching docIDs to be delivered in int sort
order (smallest to largest) to
Collector.collect(int)
.
Most Lucene Query implementations will visit
matching docIDs in order. However, some queries
(currently limited to certain cases of
BooleanQuery
) can achieve faster searching if the
Collector
allows them to deliver the
docIDs out of order.
Many collectors don't mind getting docIDs out of
order, so it's important to return
true
here.
acceptsDocsOutOfOrder
in class
Collector


Well, guess what ! THIS DOES EXACTLY THE THING !
this program solves the intricacies of the problem of a simple pattern and then displays the findings to efficiently lead a rookie programmer
This program targets at solving the common programming questions based on deciphering patterns and coding so as to print specific patterns. This ambitious project is purely experimental and is a very presonal one.
This is still under development but hopefully this could be instrumental in helping us deciphering the problems of patterns and also provide a tool for easier programming It would be really appreciated if you help develop a better version
This, however, does not work with manmade classifications such as odd-even numbers or prime or fibonacci, etc. yet
Instead of the objects, it is as good to enter only vertices but the input figure must be a closed one with a simple design
The sides must be straight lines and not other figures.
Please try to provide figures with a certain degree of symmetry THIS SHOWS THE RESULT IN THE PROGRAMMING LANGUAGE C We do plan on resolving these constraints in future updates but as of now, these rules need to be followed


Mindfulness conversation
I did a 'mindfulness conversation' with a friend. She went first and had 3 minutes to talk. I noticed how much I wanted to interrupt or say my two cents, and what an effort it was for me to just nod and agree or acknowledge without contributing, it made me realise how much I butt in on people talking! When it came my turn, I found the 3 minutes went by really quickly, especially as we were discussing meditation at the time and I am quite into the subject. The whole process has definitely made me think more about how I listen to others, and really absorb what they are saying.
Techniques to sustain mindfulness
Of the three suggested practices in 'Search Inside Yourself', the one that appeals to me the most is the 'one breath a day', as I think starting small and setting acheivable goals is a great way to get a pratice like this going without getting bored or feeling 'obligated'. I also like the concept of 'doing less that you can', as it is a surefire way to feel like you are succeeding!
Other musings
I like the way this book is written, with real world examples, and in a way that makes mindful meditation less daunting and something that anyone can do and get good at. Comparing it to physical exercise makes so much sense as it is something that with practise, just like exercise, you will get better and better at.