Architecture
Architecture
Data Model
DistributedLog exposes the log stream as the unit of operations. A log stream is a totally ordered, immutable sequence of log records. A log record is a sequence of bytes. Log records are batched into entries and written into log segments. Figure 1 illustrates the logical elements of a log stream.
Log Segments
Although the application views the log stream as a continuous sequence of log records, it is physically stored as multiple log segments, where these segments are the unit of manageability. All the records in a log segment have the same replication configuration. The log segments are allocated, distributed and stored in a log segment store. As records are written to the log stream, DistributedLog switches to a new log segment based on a configured rolling policy. The rolling policy can be time-based i.e. based on a configured period of time (e.g. every 2 hours) or size-based i.e. based on a maximum log segment size (e.g. every 128MB). This allows the log segments to be distributed evenly across all the storage nodes. This helps evenly spread read traffic to avoid hot spots in the cluster.
A log segment is also the unit of data retention. Log segments are deleted either by explicitly truncation or expiration. Old data is garbage collected by the log segment store once the log segments are deleted.
Log Sequence Numbers
Log records are written sequentially into a log stream, and assigned a unique sequence number called DLSN (DistributedLog Sequence Number). A DLSN is comprised of 3 components: a Log Segment Sequence Number (LSSN), the sequence number of the log segment that the record belongs to, an Entry ID (EID) - the entry id in this log segment that the record is in, and a Slot ID (SID) - the slot within the entry. Records can be ordered by DLSN.
Besides DLSN, an application can assign a Transaction ID, a non-decreasing positive 64-bit integer, to each log record it writes. This facilitates application-specific sequencing of records and positioning of the reader. For example, a common use of the transaction ID is to store the timestamp of when the log record was added to the log stream. This transaction ID can then be used to rewind to a specific time in analytics applications.
Namespace
Log streams that belong to same application are usually categorized and managed under a namespace. A namespace is used by applications to locate where the log streams are. Applications can create and delete streams under a namespace, and truncate a stream to given ID.
Software Stack
The software stack is shown in Figure 2. The software stack is divided into three layers, with each layer is responsible for different features of DistributedLog. These layers are Persistent Storage, DistributedLog Core and Stateless Serving.
Persistent Storage
DistributedLog provides the core features - durability, availability and consistency through the storage layer. The main components in storage layer are Log Segment Store, Cold Storage and Metadata Store.
Log Segment Store
The Log segment store is responsible for storing the log segments as they are created and ensure they are durably replicated. We use Apache BookKeeper as the log segment store. BookKeeper helps us achieve low tail latencies for writes and reads as well as low delivery latency which is the end to end latency from when the record is generated until it is read by the reader - because bookkeeper's storage layout is optimized for I/O isolation for log workloads.
In addition to storage layout optimization, the log segment store (via BookKeeper) also provides a built-in fencing mechanism for achieving strong consistency among multiple writers. We will discuss more about consistency in section Design Details.
Cold Storage
The data in the log segment store is eventually moved to a cold storage. Cold storage allows cost efficient storage of large volumes of log segments for extended period of time. Applications many want to have access to old data for application error recovery or debugging. As log segments are completed, they are proactively copied over to the cold storage, thereby providing a backup for disaster recovery or an operation error. We use HDFS as our cold storage.
Metadata Store
The metadata in DistributedLog consists of the mapping from log streams to their constituent log segments as well as each log segment's metadata. The log segment metadata includes the log segment ID, start and end transaction IDs, completion time, and its status. The metadata store is required to provide metadata operations such as consistent read and write ordering to guarantee metadata consistency in the event of failures. Also the metadata store should provide a notification mechanism to support streaming reads. We use ZooKeeper as the metadata store, because it is a strongly consistent data store which provides versioned updates, strong ordering and notifications using watches.
DistributedLog Core
DistributedLog builds its core functionality on top of the log segment store and the metadata store. It provides the core data model of log streams and its naming system, and provides a single-writer-multiple-reader access model.
Writers write data into the logs of their choice. Writers sequence log records written to the log streams. Therefore there is only one active log segment for a given log stream at a time. Correctness and consistency are guaranteed using a fencing mechanism in the log segment store and versioned metadata updates to prevent two writers from writing to the same log stream after a network partition.
Reading from a log stream starts by positioning a reader on a log record by specifying either a DLSN or a Transaction Id. Once a reader has been positioned, it receives all the log records in increasing order of the sequence numbers and each record is delivered exactly once. It is up to individual applications to choose an appropriate mechanism to record readers positions and provide this position when a new reader session begins (e.g restart from a failure). Applications can choose the appropriate method for storing positions based on the desired processing semantics.
Stateless Serving
A stateless serving layer is built on top of the storage layer to support large number of writers and readers. The serving layer includes Write Proxy and Read Proxy. Write Proxy manages the ownerships of the log streams, forwards the write requests to storage via the core library and handles load balancing and failover. It allows sequencing writes from many clients (aka Fan-in). Read Proxy caches log records for multiple readers consuming the same log stream.
Ownership Tracker
Ownership Tracker tracks the liveness of the owners of the log streams and fails over the ownership to other healthy write proxies when the current owner becomes unavailable. Since we already use zookeeper for metadata storage, we also use zookeeper for tracking the liveness of write proxies using ephemeral znodes and failover the ownership when zookeeper session expires.
Routing Service
Since readers read committed data and are strict followers, the read proxies do not have to track ownership of log streams. We use consistent hashing as a routing mechanism to route the readers to corresponding read proxies.
Applications can either use a thin client that talks to the serving tier to access DistributedLog or embed the core library to talk to the storage directly when they require strict write ordering. Applications choose partitioning strategies and track their reader positions based on their specific requirements.
Lifecyle of records
Figure 3 illustrates the lifecycle of a log record in DistributedLog as it flows from writers to readers and we discuss how different layers interact with each other.
The application constructs the log records and initiates write requests (step 1). The write requests will be forwarded to the write proxy that is the master of the log stream. The master writer proxy will write the records in the log stream's transmit buffer. Based on the configured transmit policy, records in the transmit buffer will be transmitted as a batched entry to log segment store (step 2). Application can trade latency for throughput by transmitting immediately (lowest latency), periodically (grouping records that appear within the transmit period) or when transmit buffer has accumulated more than max-outstanding bytes.
The batched entry is transmitted to multiple bookies (storage nodes in bookkeeper cluster) in parallel (step 3). The log segment store will respond back to writer once the entry is persisted durably on disk. Once the write proxy receives confirmation of durability from a quorum of bookies, it will send an acknowledgement to the application (step 4).
Although the writer knows that the record is guaranteed to be persisted and replicated in bookkeeper. Individual bookies do not necessarily know that the consensus agreement has been reached for this record. The writer must therefore record a commit to make this record visible to all the readers. This commit can piggyback on the next batch of records from the application. If no new application records are received within the specified SLA for persistence, the writer will issue a special control log record notifying the log segment store that the record can now be made visible to readers (step 5).
The readers' request that is waiting for new data using long polling will now receive the recent committed log records (step 6). Speculative long poll reads will be sent to other replicas to archieve predictable low 99.9% percentile latency (step 7).
The log records will be cached in read proxies (step 8) for fanout readers. The read clients also use similar long poll read mechanism to read data from read proxies (step 9).


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1) The normalized rate per 100,000 of population has been encoded in the colour of the state.
2) The size of the city bubble indicates the amount of deaths.
3) The data can be filtered by gender or to just show the top 30 most violent cities normalized by population. In the normalized filter, the size of the bubble corresponds to the rate of deaths/100,000 people
4) Every state and city displays a tooltip on hower elaborating on details for that place.
5) Further more, clicking on a city adds it to the comparison box making it easier to make detailed comparison between cities
6) Each state can be zoomed on by clicking on it.
This project was built using several Open Source components. The source code of these open source components along with license information can be found below. I acknowledge and am grateful to these developers for their contributions to the open source community.
Made by Parikshit Solunke.


$ nix-build -A dist
/nix/store/h5hfsl2jvcpv92104cgwnvg1q3bdxz6f-dist
The dist derivation creates a directory containing the kernel, the initrd, and the rootfs.
It also contains a file with the kernel boot parameters.
In not-os, it contains the value for sysconfig (a path to toplevel), used in the stage-1 init script to resolve the stage-2 init script.
Here, it is baked into stage-1. Doing so means that normally its closure is increased (by the same dependencies of stage-2, i.e. the whole rootfs). But it is possible to artificially remove a dependency with unsafeDiscardStringContext
.


Summary of the Material and Device Performance Parameters of LEDs with CsPb(Br
1–
x
Cl
x
)
3 NCs of Various Halide Compositions
| sample, CsPb(Br
1–
x
Cl
x
)
3
|
DDAC/DDAB ratio in the synthesis |
PL peak
a (nm)
|
PLQY
a
|
best EQE |
EQE @100 Cd |
best luminance (Cd/m
2)
|
EL peak position (nm) |
|
x = 0.39
|
1:0 |
462 |
25% |
1.03% |
0.23% |
193 |
463 |
|
x = 0.24
|
6.5:3.5 |
476 |
32% |
2.25% |
1.07% |
678 |
476 |
|
x = 0.19
|
6.1:3.9 |
487 |
48% |
3.5% |
2.1% |
2 063 |
490 |
|
x = 0.11
|
3.7:6.3 |
499 |
62% |
4.96% |
3.94% |
7 600 |
502 |
|
x = 0
|
0:1 |
510 |
80% |
9.8% |
7.3% |
34 700 |
512 |
a
In solution.


Wish to keep you feelings and thoughts to youself but still wish to express them? Write them down here!


{% extends "layout.html" %} {% block content %} Thank You for shopping with us Go to Home Page {% endblock%}


Browser Superpowers
Building the Distributed Web with Extensions
Decentralized Web Summit, Thursday August 2, 2018
Dietrich Ayala / @dietrich
Andre Garzia / @soapdog
Irakli Gozalishvili / @gozala
* most know us by firefox * but firefox is a tool we use to guide the direction of web tech
Pre-requisites
Extensions 101
Libdweb
Libdweb
node.js + npm
Firefox Nightly (or DE)
git clone https://github.com/mozilla/libdweb
cd libdweb
npm install
npm install
npm install --global web-ext
Extensions 101
manifest.json
{ "manifest_version": 2, "name": "Cat Gifs!", "version": "1.0", "browser_action": { "default_title": "Cat Gifs!" } }
alarms bookmarks browserAction browserSettings browsingData clipboard commands contentScripts contextualIdentities cookies devtools.inspectedWindow devtools.network devtools.panels dns downloads events extension extensionTypes find history i18n identity idle management menus notifications omnibox pageAction permissions pkcs11 privacy proxy runtime search sessions sidebarAction storage tabs theme topSites types webNavigation webRequest windows


Korporatiewe Bank FNBSA Limited / Beperk trading / handeldrywend as FNBSA Corporate Bank/FNBSA Corporatiewe Bank Director Audit / Accounts Units, Foreign Remittance Department ATTN: Madam/Sir, Good day! My name is Mr. Lawrence Khumalo the Director in charge of Audit /Accounts Unit, Foreign Remittance Department of FIRST NATIONAL BANK SOTH AFRICA in conjunction with two of my colleagues. Your contact is be courtesy of Johannesburg Chamber of Commerce and Industry. During auditing, verification/investigation in our bank at the end of last fiscal (financial) year, I discovered the sum of US$15,500,000.00(FIFTEEN MILLION, FIVE HUNDRED THOUSAND UNITED STATES DOLLARS) in a dormant account belonging to an Israeli International businessman who died along with his family in a plane crash on 5th November, 1997 in Abidjan, Cote D�Ivoire. My investigations revealed no survival for claims as I have long been expecting someone to forward applications for claims as it applies to our banking regulations and if I do not remit this money out urgently, it will be forfeited. However, I kept this information (SECRET) confidential within my jurisdiction to enable me submit claims and transfer this fund through trustworthy person whom I shall present as the bonafide next of kin to the deceased. With my position now in the office, I can transfer this fund to any reliable designated foreign account, with assurance that this fund will be intact pending my physical arrival in your country for sharing and for investment in your country. All documents to this transfer will be destroyed on confirmation of the money in your account thus leaving no trace to anything. Meanwhile, all domestic arrangements have been put in place awaiting your response to enable me conclude this transaction. At the conclusion of this transaction, you will be given 25% United States Dollars of the total amount, 70% United States Dollars will be for me and 5% will be set aside for expenses both parties might have incured. I need your strong assurance and confidentiality. Best regards. Mr. Lawrence Khumalo Alternative email<EMAIL_ADDRESS>NB:Please you will have to forward your telephone numbers and Fax numbers for easier communication. it is very confidential,thanks


|
I have measured the time taken by various operations for 3 pure-Python database modules (PyDbLite, buzhug and Gadfly) and compared them with SQLite
The tests are those described on the SQLite comparisons pages, which compares performance of SQLite to that of MySQL and PostGreSQL
The tests
Here are the tests :
- insert : create the base and insert n elements (n= 1000, 25,000 or 100,000) in it
The database has 3 fields : a (integer, from 1 to n),b (random integer between 1 and 100000),c (a string, value = 'fifty nine' if b=59)
For PyDbLite, gadfly and SQLite two options are possible : with an index on field a, or without index
The values of a,b,c are stored in a list recs
|
SQL statements
|
cursor.execute("CREATE TABLE t1(a INTEGER, b INTEGER, c VARCHAR(100))")
if make_index:
cursor.execute("CREATE INDEX i3 ON t1(a)")
for a,b,c in recs:
cursor.execute("INSERT INTO t1 VALUES(%s,%s,'%s')" %(a,b,c))
conn.commit()
|
| PyDbLite code |
db = PyDbLite.Base(name).create('a','b','c')
if index:
db.create_index('a')
for a,b,c in recs:
db.insert(a=a,b=b,c=c)
db.commit()
|
| buzhug code |
db=Base('t1').create(('a',int),('b',int),('c',str))
for rec in recs:
db.insert(*rec)
db.commit()
|
| gadfly code |
conn = gadfly.gadfly()
conn.startup(folder_name,folder_name)
cursor = conn.cursor()
cursor.execute("CREATE TABLE t1(a INTEGER, b INTEGER, c VARCHAR(100))")
if make_index:
cursor.execute("CREATE INDEX i3 ON t1(a)")
insertstat = "INSERT INTO t1 VALUES(?,?,?)"
for a,b,c in recs:
cursor.execute(insertstat,(a,b,c))
conn.commit()
|
- select1 : 100 selections to count the number of records and the average of field b for values of b between 10*n and 10*n + 1000 for n = 1 to 100
|
SQL statements
|
for i in range(100):
sql = 'SELECT count(*), avg(b) FROM t1 WHERE b>=%s AND b<%s' %(100*i,1000+100*i)
cursor.execute(sql)
nb,avg = cursor.fetchall()[0]
|
| buzhug code |
for i in range(100):
recs = db.select(['b'],b=[100*i,999+100*i])
nb = len(recs)
if nb:
avg = sum([r.b for r in recs])/nb
|
- select2 : 100 selections to count the number of records and the average of field b for values of c with the string 'one', 'two', ...,'ninety nine' inside. It uses the keyword LIKE for SQL database (I couldn't do the test for Gadfly which doesn't support LIKE) ; for Kirbybase and buzhug I use regular expressions
The strings for each number between 0 and 99 are stored in the list num_strings
|
SQL statements
|
for num_string in num_strings:
sql = "SELECT count(*), avg(b) FROM t1 WHERE c LIKE '%%%s%%'" %num_string
cursor.execute(sql)
nb,avg = cursor.fetchall()[0]
|
| buzhug code |
for num_string in num_strings:
pattern = re.compile(".*"+num_string+".*")
recs = db.select(['b'],'p.match(c)',p=pattern)
nb = len(recs)
if nb:
avg = sum([r.b for r in recs])/nb |
- delete1 : delete all the records where the field c contains the string 'fifty'. There again I couldn't do the test for gadfly
|
SQL statements
|
sql="DELETE FROM t1 WHERE c LIKE '%fifty%';"
cursor.execute(sql)
conn.commit()
|
| buzhug code |
db.delete(db.select(['__id__'],'p.match(c)',p=re.compile('.*fifty.*')))
|
- delete2 : delete all the records for which the field a is >10 and < 20000
|
SQL statements
|
sql="DELETE FROM t1 WHERE a>10 AND a<20000;"
cursor.execute(sql)
conn.commit()
|
| buzhug code |
db.delete(db.select(['__id__'],'x < a < y',x=10,y=20000))
|
- update1 : 1000 updates, multiply b by 2 for records where 10*n <= a < 10*(n+1) for n = 0 to 999
|
SQL statements
|
for i in range(100):
sql="UPDATE t1 SET b=b*2 WHERE a>=%s AND a<%s;\n" \
%(10*i,10*(i+1))
cursor.execute(sql)
conn.commit()
|
| buzhug code |
for i in range(100):
for r in db.select(a=[10*i,10*i+9]):
db.update(r,b = r.b*2)
|
- update2 : 1000 updates to set c to a random value where a = 1 to 1000
New values of field c are stored in a list new_c
|
SQL statements
|
for i in range(0,1000):
sql="UPDATE t1 SET c='%s' WHERE a=%s" %(new_c[i],i)
cursor.execute(sql)
conn.commit()
|
| buzhug code |
recs = db.select_for_update(['a','c'],a=[1,999])
for r in recs:
db.update(r,c = new_c[r.a])
|
The tests were made on a Windows XP machine, with Python 2.5 (except gadfly : using the compile kjbuckets.pyd requires Python 2.2)
Versions : PyDbLite 2.5, buzhug 1.6, gadfly 1.0.0, SQLite 3.0 embedded in Python 2.5
Results
Here are the results
1000 records
PyDbLite sqlite gadfly buzhug
no index index no index index no index index
size (kO) 79 91 57 69 60 154
create 0.04 0.03 1.02 0.77 0.71 2.15 0.29
select1 0.06 0.07 0.09 0.09 1.50 1.49 0.21
select2 0.04 0.04 0.16 0.16 - - 0.51
delete1 0.01 0.02 0.49 0.50 - - 0.04
delete2 0.08 0.01 0.56 0.26 0.04 0.05 0.17
update1 0.07 0.07 0.52 0.37 1.91 1.91 0.49
update2 0.20 0.03 0.99 0.45 7.72 0.54 0.72
25,000 records
PyDbLite sqlite gadfly buzhug
no index index no index index no index index
size 2021 2339 1385 1668 2948 2272
create 0.73 1.28 2.25 2.20 117.04 7.04
select1 2.31 2.72 2.69 2.67 153.05 3.68
select2 1.79 1.71 4.53 4.48 - 12.33
delete1 0.40 0.89 1.88 0.98 - (1) 0.84
delete2 0.22 0.35 0.82 0.69 1.78 2.88
update1 2.85 3.55 2.65 0.45 183.06 1.23
update2 18.90 0.96 10.93 0.47 218.30 0.81
100,000 records
PyDbLite sqlite buzhug
no index index no index index
size 8290 9694 5656 6938 8881
create 4.07 7.94 5.54 7.06 28.23
select1 9.27 13.73 9.86 9.99 14.72
select2 7.49 8.00 16.86 16.64 51.46
delete1 2.97 4.10 2.58 3.58 3.48
delete2 3.00 4.23 0.98 1.41 3.31
update1 13.72 15.80 9.22 0.99 1.87
update2 24.83 5.95 69.61 1.21 0.93
(1) not tested with index, creation time is +INF
Conclusions
PyDblite is as fast, and even faster than SQLite for small databases. It is faster than gadfly in all cases. buzhug is faster on most operations when size grows
|


Class: Aws::Backup::Types::ListRecoveryPointsByBackupVaultInput
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb |
Overview
Constant Summary
Instance Attribute Summary
-
#backup_vault_account_id ⇒ String
rw
This parameter will sort the list of recovery points by account ID.
-
#backup_vault_name ⇒ String
rw
The name of a logical container where backups are stored.
-
#by_backup_plan_id ⇒ String
rw
Returns only recovery points that match the specified backup plan ID.
-
#by_created_after ⇒ Time
rw
Returns only recovery points that were created after the specified timestamp.
-
#by_created_before ⇒ Time
rw
Returns only recovery points that were created before the specified timestamp.
-
#by_parent_recovery_point_arn ⇒ String
rw
This returns only recovery points that match the specified parent (composite) recovery point Amazon Resource Name (ARN).
-
#by_resource_arn ⇒ String
rw
Returns only recovery points that match the specified resource Amazon Resource Name (ARN).
-
#by_resource_type ⇒ String
rw
Returns only recovery points that match the specified resource type.
-
#max_results ⇒ Integer
rw
The maximum number of items to be returned.
-
#next_token ⇒ String
rw
The next item following a partial list of returned items.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Structure#to_h. |
Instance Attribute Details
#backup_vault_account_id ⇒ String
(rw)
This parameter will sort the list of recovery points by account ID.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#backup_vault_name ⇒ String
(rw)
The name of a logical container where backups are stored. ::Aws::Backup
vaults are identified by names that are unique to the account used
to create them and the Amazon Web Services Region where they are
created. They consist of lowercase letters, numbers, and hyphens.
::Aws::Backup
vault name might not be available when a supported service
creates the backup.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#by_backup_plan_id ⇒ String
(rw)
Returns only recovery points that match the specified backup plan ID.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#by_created_after ⇒ Time
(rw)
Returns only recovery points that were created after the specified timestamp.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#by_created_before ⇒ Time
(rw)
Returns only recovery points that were created before the specified timestamp.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#by_parent_recovery_point_arn ⇒ String
(rw)
This returns only recovery points that match the specified parent (composite) recovery point Amazon Resource Name (ARN).
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#by_resource_arn ⇒ String
(rw)
Returns only recovery points that match the specified resource Amazon Resource Name (ARN).
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#by_resource_type ⇒ String
(rw)
Returns only recovery points that match the specified resource type.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#max_results ⇒ Integer
(rw)
The maximum number of items to be returned.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end
#next_token ⇒ String
(rw)
The next item following a partial list of returned items. For
example, if a request is made to return maxResults
number of
items, NextToken
allows you to return more items in your list
starting at the location pointed to by the next token.
# File 'gems/aws-sdk-backup/lib/aws-sdk-backup/types.rb', line 4497
class ListRecoveryPointsByBackupVaultInput < Struct.new( :backup_vault_name, :backup_vault_account_id, :next_token, :max_results, :by_resource_arn, :by_resource_type, :by_backup_plan_id, :by_created_before, :by_created_after, :by_parent_recovery_point_arn) SENSITIVE = [] include Aws::Structure end


| serializeJSON {jsonlite} | R Documentation |
The serializeJSON
and unserializeJSON
functions convert between
R objects to JSON data. Instead of using a class based mapping like
toJSON
and fromJSON
, the serialize functions base the encoding
schema on the storage type, and capture all data and attributes from any object.
Thereby the object can be restored almost perfectly from its JSON representation, but
the resulting JSON output is very verbose. Apart from environments, all standard storage
types are supported.
serializeJSON(x, digits = 8, pretty = FALSE) unserializeJSON(txt)
x |
an R object to be serialized |
digits |
max number of digits (after the dot) to print for numeric values |
pretty |
add indentation/whitespace to JSON output. See |
txt |
a JSON string which was created using |
JSON is a text based format which leads to loss of precision when printing numbers.
jsoncars <- serializeJSON(mtcars) mtcars2 <- unserializeJSON(jsoncars) identical(mtcars, mtcars2) set.seed('123') myobject <- list( mynull = NULL, mycomplex = lapply(eigen(matrix(-rnorm(9),3)), round, 3), mymatrix = round(matrix(rnorm(9), 3),3), myint = as.integer(c(1,2,3)), mydf = cars, mylist = list(foo='bar', 123, NA, NULL, list('test')), mylogical = c(TRUE,FALSE,NA), mychar = c('foo', NA, 'bar'), somemissings = c(1,2,NA,NaN,5, Inf, 7 -Inf, 9, NA), myrawvec = charToRaw('This is a test') ); identical(unserializeJSON(serializeJSON(myobject)), myobject);


--- layout: page title: Contact subtitle: Contact Liping Zhang permalink: /contact/ ---
Contact Liping Zhang with following information.


Ingredients:
Organic cashew milk (filtered water, organic cashews), organic evaporated cane juice, organic rasperries, organic blackberries, kosher salt
Fresh from the mountains of Washington, our berries provide a cool refreshment from those hot northwest summer days. The next best thing would be to pick them yourself.
Ingredients:
Organic coconut milk (filtered water, organic coconut cream), organic evaporated cane juice, organic macadamia nuts, organic vanilla, kosher salt
A creamy blend of the American classic Vanilla Bean with a hint of Macadamia Nuts; made with 100% organic Coconut Milk. It's so good that you won't want to share (but we hope you do).
Ingredients:
Organic rice milk, organic evaporated cane juice, organic green tea, organic cucumber juice, organic lime juice, organic mint, kosher salt
Here's an ice cream you won't want to throw into the Harbor; a beautiful combination of cucumber, mint, and lime mix together for a refreshing flavor. Sound weird? Well, we happen to believe all the best things are.
Ingredients:
Organic almond milk (filtered water, organic almonds), organic evaporated cane juice, organic peaches, organic cardamom, organic turmeric, kosher salt
Fresh from the orchard our peaches will have you yelling '50s cliches from the first bite.
Ingredients:
Organic coconut milk (filtered water, organic coconut cream), organic evaporated cane juice, whey protein, organic powdered peanut butter, organic cocoa, kosher salt
An athlete's friend after a long & hard work out. This blend of protein and natural energy helps to prevent muscle soreness and fatigue the next day. A smooth blend of all natural peanut butter and chocolate seal the deal in a happy marriage - and unlike most healthy post-workout drinks or smoothies, this tastes so delicious you'll want to eat it before, after, and maybe even during those power cleans.


|
dg_blmc_robots
|
Public Member Functions | |
| DGMSingleMotor () | |
| DGMSingleMotor is the constructor. | |
| ~DGMSingleMotor () | |
| ~DGMSingleMotor is the destructor. | |
| void | initialize_hardware_communication_process () |
| initialize_hardware_communication_process is the function that initialize the hardware. | |
| void | get_sensors_to_map (dynamic_graph::VectorDGMap &map) |
| get_sensors_to_map acquires the sensors data and feed it to the input/output map More... | |
| void | set_motor_controls_from_map (const dynamic_graph::VectorDGMap &map) |
| set_motor_controls_from_map reads the input map that contains the controls and send these controls to the hardware. More... | |
Private Attributes | |
| blmc_robots::SingleMotor | single_motor_ |
| Entries for the real hardware. More... | |
| Vector1d | ctrl_joint_torques_ |
| ctrl_joint_torques_ the motor torque to be sent | |
| bool | was_in_safety_mode_ |
| was_in_safety_mode_ Toggle to keep in safety mode once it was entered. | |
| void dg_blmc_robots::DGMSingleMotor::get_sensors_to_map | ( | dynamic_graph::VectorDGMap & | map | ) |
get_sensors_to_map acquires the sensors data and feed it to the input/output map
| [in] |
| void dg_blmc_robots::DGMSingleMotor::set_motor_controls_from_map | ( | const dynamic_graph::VectorDGMap & | map | ) |
set_motor_controls_from_map reads the input map that contains the controls and send these controls to the hardware.
| map |
|
private |
Entries for the real hardware.
single_motor_ the real motor hardware drivers.


Amazon is selling fluffy white Christmas tree skirts that look like snow!
A white Christmas in your living room!
by Rebecca CarterAmazon is selling a fluffy white Christmas tree skirt so you can create a fake snow effect under your tree.
The Guwheat product is available to buy for £13. 96 and is described as a "luxurious fur coat" for your Christmas tree.
The Christmas skirt comes in two sizes - 35.4 inches and 48 inches in diameter, which costs £19.99, - and a range of patterns and colours.
One design is a white fluffy skirt featuring a gold or silver snowflake pattern.
The description reads: "Luxury Christmas Tree Skirts: 48 inch diameter size tree skirt in creamy-white with silver sequins snowflake.
"Luxury faux fur Christmas tree skirt is sure to give your tree that 'wow' factor and bring the Christmas spirit into your home. Perfect for white snow Christmas party theme ornament. Gorgeous and elegant.
"Soft warm and useful: High quality plush fabric material with soft and comfortable texture and impeccable crafts.
"The favorite spot for pets in winter and keep pine debris water and sap that may drip from your tree off floors or carpet."
The website states the Christmas tree skirt is "perfect home decor for Christmas" and is also a "great choice for commercial holiday decorations".
You can also buy the Christmas skirt in a grey and white design which has "It's the most wonderful time of the year" printed across it.
Another design is a rainbow-coloured fluffy rug and a third is red and white which has "Merry Christmas and Happy New Year" emblazoned on it.
Shoppers were thrilled by the product and shared their thoughts in the review section.
One person commented: "Brilliant item. Finished off my tree beautifully. Would highly recommend."
Read more: Viewers call Sainsbury's Christmas advert 'scary' and 'dreary'
Another wrote: "Lovely fluffy skirt to to hide the legs of your Christmas tree. Perfect accessory."
A third said: "Looks good underneath my Christmas tree.."
You can buy the Christmas tree skirt on Amazon here.
In other Christmas tree news, the hottest trend among festive goers this year is upside down trees.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


Return a string: This Works!
Write a function named "sum" that takes an array of numbers and returns their sum


Just as I locate my mislaid mojo, and return to tippy-tapping, I'm afraid I must announce a brief hooting hiatus (hootatus?). I will be away in foreign climes, dressed like Fitzcarraldo, for about a week and a half. You can spend that time exploring the archive, and I will resume regular posting upon my return.


Ping Monitor
Ping time determines the availability of the server in the network.
Server
Average Time (Ms)
Time Range
© 2021 by
Milad Rahimi
|
Github


New VIMMI Webpage Prototype
INESC-ID | VIMMI
Welcome!
This is the welcome page for the New VIMMI Webpage Prototype development stages.
Please choose one of the listed stages...
Foundation Prototype
WordPress Prototype
GitHub Page
GitHub Repository
Project Documentation


Portsmouth F.C
United Kingdom Sport Club
Administrator:
Walter Peterson
Country:
Scotland
News
Events
Shop
Forms
Players
Media
Links
Filter By
Mon
06
1st: Event sample 1
04:00 am - 06:00 am
Joint Event
+16
Joined
(20)
Thu
12
2nd: Soccer school co…
04:00 am - 06:00 am
Joint Event
+8
Joined
(12)
Sat
12
3rd: Event sample 1
04:00 am - 06:00 am
Joint Event
+8
Joined
(12)
Junior
Senior
Done


Ni anmäler er genom att köpa en biljett skapa ett lag och sedan anmäla er till turneringen. Klicka på knappen "anmäl ett lag" så kommer ni rätt.
Each team needs to consist of 5 eligible (read below) players and one of which to be a team leader. Predetermined teams shall be required by the each players confirmation and must provide .DLL account with the addition of the team name.
Non- predetermined team/players who doesn’t consist of a full team will be given the chance of eligibility by matching with other people in advanced of the event. Although more information will be given at a later point.
The tournament will include X of teams.
Single elimination format is used by the entirety of the event.
Players should always address the administrators and each other in a polite and respectfulway.
An administrator has the final say in all matters. When the administrator says the word is final, the word is final and cannot be overruled.
Under some circumstances administrators reserve the right to change the rules.
All games must be played on the Eu West. Player account must therefore be on Eu west.
Team captains should be contactable at all time during the tournament, in the case of previously unknown people put together in one team, we will determine the procedures at a later date for a easier way of one team connecting before the event.
The players should arrive in ingame chat (.dll) at least 15 minutes before their match starts.
By this time the players should be set up and ready to play.
For finals, the players should be ready to set up (at the latest) 30min before the match starts. Should a player be late (more than 20 minutes) for the start of a tournament match, the player will forfeit the first game of the match.
Should the player be more than 30 minutes late for the start of a tournament match, the player will forfeit the match.
The players are allowed a 5 minute break between the games in a tournamentmatch.(10min for finals).
Administrators reserve the right to change these timings if circumstances require it.
If one or more players disconnects from the game due to technical reasons and the game is heavily favoured to the extent that the game would definitely have been won by one team an administrator may rule the game in favors of said team. Should the game be too close to call, it will be replayed.
Administrators reserve the right to rule against previous rules. The restart of game will be in the determination of extended rules
If there a complaint occurring during the game contact the judges, that will look into the matter. With the right to stop the game if an infraction against the rules has occurred.
If a player wants to make a complaint about a game result, the player has to tell the administrator assigned to the match immediately following the game.
If a player wants to object a game result ruled by an administrator, this has to be brought forth by the team captain.
Should a player or team purposely attempt to sabotage the games, another player or an administrator in any way, the player will be disqualified.
Bad behaviour towards other players, administrators or the audience may result in a disqualification.
We the administrators will reserve the rule to change any and all rules pre-event, since the matter of a riot sponsored event is still being determined.
For any inquisitions and a more detailed list of rules we include the link;
Link


Ian Hawke works on numerical simulations of neutron stars at the University of Southampton. He teaches numerical methods, and is a co-Director of the CDT in Next Generation Computational Modelling.


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MRCB-Quill REIT’s third quarter net income falls to RM17.64m
KUALA LUMPUR, Nov 25 — MRCB-Quill REIT’s (MQREIT) net income for the third quarter ended Sept 30, 2019 (3Q2019), fell 14.3 per cent to RM17.64 million from RM20.59 million posted in the same quarter last year.
In a filing with Bursa Malaysia today, it said the lower realised net income was mainly attributable to lower revenue contribution from selected properties within the portfolio, net of lower property operating expenses and trust expenses.
Revenue also decreased by 9.5 per cent to RM39.46 million from RM43.59 million previously, mainly due to lower revenue generated from Platinum Sentral, Quill Building 5 — IBM (QB5) and Wisma Technip.
MQREIT’s manager, MRCB Quill Management Sdn Bhd (MQM) chairman Tan Sri Saw Choo Boon said the group hopes further liberalisation of the withholding tax incentives could be considered via the reduction of the withholding tax rates for individual unitholders to zero.
This he said, is to further promote the development and competitiveness of REITs in Malaysia.
“We anticipate the operating environment for office space in Klang Valley to remain challenging due to these oversupply pressures.
“We will continue to focus on cost management, tenant retention and optimisation of rental contribution,” he said.
MQM Chief executive officer Yong Su-Lin said MQREIT recorded a 93 per cent renewal rate for its leases due up to 3Q2019.
“Correspondingly, MQREIT’s average occupancy rate as at Sept 30, 2019, stood at 89 per cent, while there is a balance of 17 per cent of the leases due in 2019 pending renewal.
“Negotiations are progressing as scheduled for these leases. We will continue with our marketing efforts to lease out MQREIT’s existing vacant spaces with the aim of improving the portfolio occupancy,” she said. — Bernama


WITNESS LIST Constitutional Revision, Select Committee May 31, 2002-9:00A Interim Charge 1 For: Newman, Anne (Self and Tejas Justice Foundation) Patterson, Chris (Texas Public Policy Foundation) Strickland, Judy (Self) On: Bernal, Joe (Self) Ferris, Roger (State Auditor's Office) Gerstenschlager, Merry Lynn (Self and Texas Eagle Forum) Jackson, Pat (Self) McIlvain, Ashley (Texas Freedom Network) McLeroy, Don (State Board of Education) Powers, Deborah (Texas Public Policy Foundation) Shore, Grace (State Board of Education) Smith, Carol (State Auditor's Office) Thornton, Cynthia (State Board of Education) Venable, Peggy (Citizens for a Sound Economy)


Engineering Student specialized in Computer Graphics
Looking for an internship for February 2020
Hello and welcome. If you are here, you might be a recruiter, a teacher, a friend or even someone lost on the web...
Whoever you are, let me suggest turning the discovery of this website into a relaxing break. If you enjoy classical music, let's launch the video below and scroll!
You can also download my resume clicking the button below:
C++, Java, Swift, Python, Objective-C, Matlab, Prolog
OpenGL4
Git
Unreal Engine, Unity
Android Studio, XCode
HTML, CSS, JavaScript
High school in Engineering sciences
in Avignon, France
September 2011 to graduation in July 2014 with honors
Classes Préparatoires aux Grandes Écoles
in Aix-en-Provence, France
September 2014 - July 2016
Télécom ParisTech in Computer Graphics and Human-Computer Interaction
at Paris, France
September 2016 - Present
Jakub Mrowiński is a C++ senior programmer from Poland. He was the lead programmer for the project Battle For Middle Earth: Reforged until September 2019. I learnt a lot from him, both technically and personally.
Stéphane is a French web developper and was my iOS mentor when I worked at SpeakShake. He also taught me how to interface my mobile applications with a web API.
Fanny is a French manager and created the start-up SpeakShake where I interned as a mobile developper in 2017. I continued to work with her as a freelancer once my internship ended.
One of my passions is sports. I practised track and field for six years with a wonderful team and an amazing coach. Thanks to track and field, I learnt humility, how teammates are important and to always try to improve myself.
Here is an official summary of my results.
I started playing the piano at the age of six and have never stopped. As a full-of-energy little kid, I had some concentration troubles. Playing the piano helped me to focus. I also learnt to be rigorous and precise.
In my opinion, travelling is a really inspiring hobby as I enjoy my opinion being questioned by foreign cultures.
My almost three-month journey to Japan in 2018 impacted me a lot. Still fascinated by how open-minded and positive Japanese people are, I try to apply what I learnt from their management style in my working life.
I've always been fascinated by stories. I attached a photo of Robin Hobb because she wrote the Farseer Trilogy, which are my favorite books for now.
But literature is not the only media that shares stories, that's why I enjoy watching movies, series, animes and playing video games. Now, I have 3D programming skills that I want use to tell stories alongside artists.


driver.maximize_window()
browser_logs = driver.get_log("browser")
severe_errors = [l for l in browser_logs if l.get("level") == "SEVERE"]
if len(severe_errors) > 0:
logger.warn("There were severe browser errors that may have affected your export: {}".format(severe_errors))
driver.save_screenshot(filename)
if filename is None:
filename = _detect_filename("png")
with open(filename, "wb") as f:
f.write(png)
return os.path.abspath(filename)


Home value estimator
Try our new service, HOME VALUE ESTIMATOR!
This Home Value Estimator is a tool which you can use to get the tentative value that your property has in market. The current market trends are checked according to the area, location and the Legal Documents your property possesses. And finally you will come to know the amount you can claim for your property.
Read more
For selling your property, just register yourself first, if not already a member. Else just login and select the property you want to sell!
Find sales
A wonderful opportunity for the Sellers and Property owners
Send the details of the property to be sold. It must include picture of the property, carpet area,tentative price,rooms etc.


Installation
Getting Python
This web application uses python3 To install python on a debian based linux machine simply run:
sudo apt-get install python3
it’s always helpful to use a virtual environment [https://pypi.python.org/pypi/virtualenv] for your python installation.
Getting a solver for linear optimisation
The web app is known to work with the free software GLPK. The web application should also work using the Gurobi software (and whatever else Pyomo works with).
For Debian-based systems you can get GLPK with:
sudo apt-get install glpk-utils
There are similar packages for other GNU/Linux distributions. For Windows there is WinGLPK [http://winglpk.sourceforge.net/]. For Mac OS X brew [http://brew.sh/] is your friend.
Installing the backend of the web app
If you have the Python package installed ( pip3
) just run:
sudo pip3 install -r requirements.txt
Please make sure to install the dependencies for Python 3, since the web application is programmed in Python 3
Backend dependencies
The web application relies on the following packages which are not contained in a standard Python installation:
- pypsa
- numpy
- scipy
- pandas
- networkx
- pyomo
- moreitertools
- Django
Using above installation technique these packages are installed.
Getting Nodejs
NodeJs can be installed by going to `NodeJs<https://nodejs.org/en/download/ >`_ To install NodeJs run
sudo apt-get install node
Also webpack is needed wich may be installed using npm:
sudo npm install webpack -g
After installing Node.Js and webpack run
npm install
In the asset folder located in mysite/assets
Also make sure to run
webpack --config webpack.config.js --watch
In side the asset folder


Patients with Locked-In Syndrome are severely limited in the way they can interact with people or machines, by definition. Advances in eye-tracking technology provide a new input device that can be used by LIS patients to better their lives and to reconnect with the world at large. Eyelluminati is a modular platform that allows developers to create applications for LIS patients easily, abstracting away the need to deal with eye coordinates, calibration, etc. by leveraging existing technology stacks.
Eyelluminati consists of 3 core pieces: the WebSocket server which interfaces with the native EyeTribe TCP server, a Chrome Extension which connects to the WebSocket server and provides new JavaScript events that are unique to eye input and a web application with sample modules for an LIS patient to use in their day-to-day life.
We leverage the Chrome Extension to abstract eye input away from the developers of the web application, allowing them to focus on familiar technologies (JavaScript) and provide a means in which the eye tracking input can adapt to LIS patients of different restrictions.
We focus on prototyping and building six modules that enable a LIS patient to reconnect with love ones and their surroundings:
For eye-tracking, we rely on the Eye Tribe device connected to a Microsoft Surface Pro 3. The tablet acts as a gateway to the web applications through the Chrome Browser. The Web Application is built on top of a lightweight node.js/Express server. Contextual awareness is enabled via BT-LE beacon technology in conjunction with iOS devices.


{% load static %}
Lab Report | By Deepak Radhakrishnan
Log out
Covid 19 RT-PCR Lab Test Report Portal
Add new Report
Upload new Report
×
{% csrf_token %} {{ form }}
Name:
{{ form.id_Name.errors }}
Phone:
{{ form.id_Phone.errors }}
Lab Number:
{{ form.id_Lab_Number.errors }}
Upload Report
{{ form.id_report.errors }}
{{ form.errors }}
Save
Close
Lab Number
Name
Phone
Report
{% for report in reports %}
{{ report.Lab_Number }}
{{ report.Name }}
{{ report.Phone }}
View Report
{% endfor %}
Made with
♥
by
Deepak Radhakrishnan


Getting the best prices for you...
{{bug}}
About this movie:
{{detailsMovie.plot}}
Actors: {{detailsMovie.actors}} Director: {{detailsMovie.director}}


{% extends "email_base.html" %} {% load tz %} {% load i18n %} {% block body %}
{% url "orgs.org_join" invitation.secret as join_url %}
{% blocktrans with org_name=org.name host=host %}
You've been invited to join {{ org_name }}.
To accept the invitation, click here.
{% endblocktrans %}


From the newsletter ... |
|
Easter in IsraelThis year, a group of nineteen people, mainly from Cogges, together with some friends and relatives, spent Easter in the Holy Land. It was the holiday of a lifetime. We experienced the amazing beauty of the land - from the picturesque Sea of Galilee in the north to the rugged desert and Dead Sea further south. We learnt about the lifestyle of people in Bible times, for example sitting in a goat's hair tent. We sampled the local food; for example falafel (made from spicy chick-peas) and shawarma (a sort of doner kebab, but made with turkey). We met the people of the land today, both Jews and Palestinians, and sensed something of the tensions between them, as we passed back and forth through various checkpoints, but also enjoying their very real hospitality. But perhaps most important of all, we saw the place of Jesus' death and resurrection at the very time when the church was celebrating those saving events. It was a privilege to be in the Church of the Holy Sepulchre in Jerusalem on Easter Day, part of a huge crowd of people, many locals, but many others from all over the world, united by one great joy: Christ is risen! A visit to Israel is not a magic spell that will put you in touch with Jesus Christ. He is risen, and by his Holy Spirit, he is available to you as Saviour and Friend wherever you are. However, a visit to Israel can serve as a marvellous visual aid, bringing to life the people, the places and the story of the Bible. Those who shared in the Easter holiday this year will, I am sure, agree that reading the Bible will never be quite the same again. Cogges Parish | Other articles | Previous issue | Feedback © 2000; Published in Cogges Parish monthly newsletter, number 253, July/August 2000 |


Canvas elements named canvasInput and canvasOutput have been prepared. Choose an image and click Try it button to see the result. You can change the code in the textbox to investigate more.


Shape Experiment
Identify the shape as quickly as possible.
Play as often as you like. Thanks for your help!
Cookies are used to tally. Press "Begin" if that is OK.
Your personal details will not be shared.
The overall results may be shared.


--- layout: example.html title: WFS - GetFeature shortdesc: Example of making a WFS GetFeature request with a filter. docs: > This example generates a `GetFeature` request which uses a `PropertyIsEqualTo` and a `PropertyIsLike` filter, and then posts the request to load the features that match the query. tags: "vector, WFS, GetFeature, filter" cloak: AkGbxXx6tDWf1swIhPJyoAVp06H0s0gDTYslNWWHZ6RoPqMpB9ld5FY1WutX8UoF: Your Bing Maps Key from http://www.bingmapsportal.com/ here ---


What Apple could do (and doesn’t) to have the upper hand at Microsoft
Howdy everyone,
I was thinking the other day (yes, this does happen every now and then) and something hit me: what is the big issue with developing any kind of software these days? Optimization, right? This is truer on a special case and I am refering to the operating systems. Windows, Mac OS, Linux-based… you know the drill.
Optimization is by nature, a very herculean task, especially when you are developing a piece of software to run on a wide variety of platforms and environments. Sure, some of the most recent computers come with dual-core CPUs, but pretty much all operating systems must still be able to operate on single-core processors, just as they have to be able to handle 4 or 8 cores effectively. This is not only true in the case of processors but also on RAM. If an operating system is running on 256Mb of RAM, it must certainly behave differently resource-wise than it will behave on a system with 4Gb of available RAM. More to the point, what is the use of having 4Gb of RAM, if 3Gb stay unused at all times? One could argue that having available memory is good because it allows the applications to use more as they need it, without resorting to swap files, but for the most part it is wasted memory, a precious resource in our computers.
With this said, for companies like Microsoft, it certainly is hard to develop an operating system that will efficiently handle old and new, resource-limited and resource-boasted platforms, simply because they create Windows for a variety of hardware. Windows will run on AMD, Intel and VIA and although they all are x86-based, there are certain instructions, that could be used to optimize but are not, because if my Core 2 Duo has SSE4, my friend’s Athlon XP 3000+ hasn’t got this set of instructions and therefore an application optimized for my CPU won’t actually run on his.
This is, to some extent, the story of Windows Vista. Windows Vista brought quite a few innovations when compared to XP but it had a problem: if your resources are on the lower end, your computer will feel like a sloth on a lazy day and XP feels like cool breeze when compared to Vista. However, if you have ever had the chance to try out Vista on a powerful system, you’ll be in awe simply because it will feel as fast as XP and you have all the goodies. Windows 7 by the way, is set to change this, but let us keep that to a different post as that is off-subject.
So, what is the main characteristic of a Macintosh computer? Until very recently, they used hardware unlike that of PCs but not anymore, their hardware is now similar and compatible with PC hardware. Actually, its parts are normal PC parts, with Intel CPUs and Intel/Nvidia/ATI graphics cards so what is really different? It’s simple: they come assembled and are not meant to be disassembled at the risk of getting your warranty voided.
My point is that if Apple keeps such a high-standard on their computers and keeps them so expensive, why not turn the competition knob a notch? Pack their computers with like 8Gb of RAM at least and with 1Tb hard drives. In a way, Apple has started optimizing since Mac OS 10.5 will only run on at least the Core 2 Duo platform and this is a good thing, but I still think that RAM is a major factor in computers that is being systematically (and wrongly) left behind. However, if you have 8Gb of RAM, you could almost reserve 4Gb just for pre-fetching most used applications before the user needs them, and still have plenty of RAM for the average user to mess with. Maybe we need to go big and supersize and make a break with the past of computing.
What is the real problem? Not knowing in advance when and how much RAM the user will need. So if an operating system starts using all the available (free) memory to pre-fetch applications, if at some point the user needs an application that requires, say, 512Mb of RAM and that program wasn’t pre-fetched, the OS will have to quickly ditch 512Mb of that pre-fetch RAM and quickly load that program into memory. The problem? This can’t happen quickly because the program will be loaded from the hard drive and the hard drive is inherently slow.
Effectively, the memory allocation algorithm has to have something like a behaviour analysis module. Something that records the user behaviour and finds patterns, and even then it has to give room for the unexpected. A good memory allocation algorithm isn’t the key to all of the problems though, if for instance there isn’t enough RAM available, then an algorithm can’t make miracles no matter how good it is.
To finish my post: Apple can control both their software and hardware, as the Portuguese saying goes “they have the knife and the cheese” so I sincerely feel that they can do way much more for their users in terms of performance. I do reckon that Mac OS users do not typically complain about performance, but what is also true on a computer is that it can always be faster.
Comments


This guide describes how to deploy Sock Shop to a Mesos cluster that has CNI and Weave Net installed. Deployment is done using the mesos-execute
commands.
For testing only Because CNI support is so new, it is not supported in Marathon and some features are missing from Weave. The containers are not orchestrated, so if they crash, they will not be restarted.
Please read this blog post about the new mesos unified containerizer for more information.
mesos-cni.sh [OPTION]... [COMMAND]
Starts the weavedemo project on Apache Mesos using CNI. It expects that you have populated the Masters and Agents in this script. See https://github.com/philwinder/mesos-terraform for help with installing Mesos on AWS.
Caveats: This is using a RC version of Mesos, and may not work in the future. This was developed on AWS, so may not work on other services.
Commands:
install Install all required services on the Mesos hosts. Must install before starting.
uninstall Removes all installed services
start Starts the demo application services. Must already be installed.
stop Stops the demo application services
Options:
--force Skip all user interaction. Implied 'Yes' to all actions.
-c, --cpu Individual task CPUs
-m, --mem Individual task Mem
-t, --tag Sets the tag of the docker images
-q, --quiet Quiet (no output)
-l, --log Print log to file
-s, --strict Exit script with null variables. i.e 'set -o nounset'
-v, --verbose Output more information. (Items echoed to 'verbose')
-d, --debug Runs script in BASH debug mode (set -x)
-h, --help Display this help and exit
--version Output version information and exit
Provisioning a Mesos cluster requires the following prerequisites
git
curl
jq
- https://stedolan.github.io/jq/terraform
Mesos Terraform on AWS
- https://github.com/philwinder/mesos-terraformcurl -sSL https://get.docker.com/ | sh
apt-get update && apt-get install -yq jq python-pip curl unzip build-essential python-dev
pip install awscli
curl -o /tmp/terraform.zip https://releases.hashicorp.com/terraform/0.7.11/terraform_0.7.11_linux_amd64.zip
unzip /tmp/terraform.zip -d /usr/bin
Create a key pair on AWS and run Mesos Terraform to create the Mesos cluster.
git clone https://github.com/philwinder/mesos-terraform /tmp/mesos-terraform
cd /tmp/mesos-terraform
aws ec2 create-key-pair --key-name ci-mesos-cni --query 'KeyMaterial' --output text > ~/.ssh/ci-mesos-cni-key.pem
chmod 600 ~/.ssh/ci-mesos-cni-key.pem
export TF_VAR_aws_region='eu-central-1'
export TF_VAR_aws_availability_zone='eu-central-1a'
export TF_VAR_access_key=$AWS_ACCESS_KEY_ID
export TF_VAR_secret_key=$AWS_SECRET_ACCESS_KEY
export TF_VAR_private_key_file=$HOME/.ssh/ci-mesos-cni-key.pem
export TF_VAR_aws_key_name=ci-mesos-cni
terraform apply
Now deploy Sock Shop
eval $(terraform output -state=/tmp/mesos-terraform/terraform.tfstate -json | jq -r '.[].value')
cd deploy/mesos-cni
./mesos-cni.sh install
./mesos-cni.sh start
There is a separate load-test available to simulate user traffic to the application. For more information see Load Test. This will send some traffic to the application, which will form the connection graph that you can view in Scope or Weave Cloud.
eval $(terraform output -state=/tmp/mesos-terraform/terraform.tfstate -json | jq -r '.[].value')
docker run --rm weaveworksdemos/load-test -d 300 -h $SLAVE0 -c 2 -r 100
Destroy the Mesos cluster and Sock Shop
export TF_VAR_aws_region='eu-central-1'
export TF_VAR_aws_availability_zone='eu-central-1a'
export TF_VAR_access_key=$AWS_ACCESS_KEY_ID
export TF_VAR_secret_key=$AWS_SECRET_ACCESS_KEY
export TF_VAR_private_key_file=$HOME/.ssh/ci-mesos-cni-key.pem
export TF_VAR_aws_key_name=ci-mesos-cni
cd /tmp/mesos-terraform
terraform destroy -force
aws ec2 delete-key-pair --key-name ci-mesos-cni


| GUI Layout Toolbox 1.14 |
1: Panels |
|
| 1.1 uiextras.Panel | Arrange a single element inside a standard panel |
| 1.2 uiextras.CardPanel | Show one element (card) from a list |
| 1.3 uiextras.BoxPanel | Arrange a single element in a panel with boxed title |
| 1.4 uiextras.TabPanel | Arrange elements in a panel with tabs for selecting which is visible |
2: Boxes |
|
| 2.1 uiextras.HBox | Arrange elements horizontally in a single row |
| 2.2 uiextras.VBox | Arrange elements vertically in a single column |
| 2.3 uiextras.HBoxFlex | Arrange elements horizontally with draggable dividers |
| 2.4 uiextras.VBoxFlex | Arrange elements vertically with draggable dividers |
| 2.5 uiextras.HButtonBox | Arrange buttons horizontally in a single row |
| 2.6 uiextras.VButtonBox | Arrange buttons vertically in a single column |
3: Grids |
|
| 3.1 uiextras.Grid | Arrange elements in a two dimensional grid |
| 3.2 uiextras.GridFlex | Arrange elements in a two dimensional grid with draggable dividers |
4: Other functions |
|
| 4.1 uiextras.Empty | Create an empty space |
| 4.2 layoutVersion | Get the toolbox version number and date |
| 4.3 layoutRoot | Return the folder containing the GUI layout toolbox |
| 4.4 uiextras.set | Store a default property value in a parent object |
| 4.5 uiextras.get | Retrieve a default property value from a parent object |
| Front page | [Top] | uiextras.Panel |


Computes the joint probability mass function, the joint cumulative distribution, the correlation coefficient and generate random deviates from the Basu-Dhar bivariate geometric distribution. The package also computes the joint survival function in presence of cure fraction using the mixture model approach (For more details, see Achcar et. al (2016) <doi:10.1080/02664763.2015.1117589> and de Oliveira et. al (2018) <doi:10.1080/02664763.2018.1495701>).
| Version: | 1.0.1 |
| Depends: | R (≥ 3.0.2) |
| Imports: | stats |
| Published: | 2018-08-02 |
| Author: | Ricardo Puziol de Oliveira and Jorge Alberto Achcar |
| Maintainer: | Ricardo Puziol de Oliveira <rpuziol.oliveira at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | BivGeo results |
| Reference manual: | BivGeo.pdf |
| Package source: | BivGeo_1.0.1.tar.gz |
| Windows binaries: | r-devel: BivGeo_1.0.1.zip, r-release: BivGeo_1.0.1.zip, r-oldrel: BivGeo_1.0.1.zip |
| OS X binaries: | r-release: BivGeo_1.0.1.tgz, r-oldrel: BivGeo_1.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=BivGeo to link to this page.


WITNESS LIST Corrections Committee (SUBCOMMITTEE ON Healthcare and Special Populations) April 26, 2006-10:00A Charge 3 On: Brockman, Cynthia (Self) DeWitt, R.Ph., Lauren (Citizens Commission on Human Rights (CCHR) Texas) Hightower, Allen (Correctional Managed Health Care Committee) Lewis, Sherre (Self) O'Donnell, James (Self) Porter, Nicole (Prison and Jail Accountability Project) Sapp, Allen (Correctional Managed Health Care Committee) Savory, Terry (Self) Charge 4 On: Sapp, Allen (Correctional Managed Health Care Committee) Scott, Ronald (Self) Wilson, Dee (Texas Department of Criminal Justice- TCOOMMI)


WARNING!

If you continue all data will be lost for this User!


SETLEDS
Section: User Commands (1)Updated: 24 Sep 1994
Index Return to Main Contents
NAME
setleds - set the keyboard ledsSYNOPSIS
setleds [-v] [-L] [-D] [-F] [{+|-}num] [{+|-}caps] [{+|-}scroll]DESCRIPTION
Setleds reports and changes the led flag settings of a VT (namely NumLock, CapsLock and ScrollLock). Without arguments, setleds prints the current settings. With arguments, it sets or clears the indicated flags (and leaves the others unchanged). The settings before and after the change are reported if the -v flag is given.
The led flag settings are specific for each VT (and the VT corresponding to stdin is used).
By default (or with option -F), setleds will only change the VT flags (and their setting may be reflected by the keyboard leds).
With option -D, setleds will change both the VT flags and their default settings (so that a subsequent reset will not undo the change). This might be useful for people who always want to have numlock set.
With option -L, setleds will not touch the VT flags, but only change the leds. From this moment on, the leds will no longer reflect the VT flags (but display whatever is put into them). The command setleds -L (without further arguments) will restore the situation in which the leds reflect the VT flags.
One might use
setleds
in /etc/rc to define the initial and default state of NumLock,
e.g. by
INITTY=/dev/tty[1-8]
for tty in $INITTY; do
setleds -D +num < $tty
done
OPTIONS
- -num +num
- Clear or set NumLock. (At present, the NumLock setting influences the interpretation of keypad keys. Pressing the NumLock key complements the NumLock setting.)
- -caps +caps
- Clear or set CapsLock. (At present, the CapsLock setting complements the Shift key when applied to letters. Pressing the CapsLock key complements the CapsLock setting.)
- -scroll +scroll
- Clear or set ScrollLock. (At present, pressing the ScrollLock key (or ^S/^Q) stops/starts console output.)
BUGS
In keyboard application mode the NumLock key does not influence the NumLock flag setting.SEE ALSO
loadkeys(1)
Index
This document was created by man2html, using the manual pages.
Time: 05:29:10 GMT, December 24, 2015


--- layout: post title: Buttermilk Pancakes date: 2010-10-23 11:56:22.000000000 -04:00 categories: - Gastronomic Explosions - aka Yummy Food/Recipes tags: - Buttermilk - Buttermilk pancakes - Pancakes status: publish type: post published: true meta: _edit_last: '1' _wp_old_slug: '' aktt_notify_twitter: 'no' dsq_thread_id: '1188581430' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
Pancakes are part of our weekend ritual and help to make our weekend get off to a great start. I have, over the years, created a recipe that produces nice fluffy pancakes. The trick is to beat the egg whites. Top them off with fresh berries, pure maple syrup and cream - yum!
I use a mix of flours. It depends what's in the pantry. I usually use one cup of wholemeal or spelt flour and one cup of white/unbleached flour. Of course you can use just one type of flour. I make my own buttermilk, which only takes a couple of minutes.
Ingredients - (makes approx 10 large pancakes)
2 cups plain flour
2 tsp cream of tartar
1 tsp Bi-carb soda
2 to 3 eggs, separated
500ml cows milk
1 lemon
1 cup cottage cheese
Zest of 1 orange, finely grated
pinch of salt
Butter or cooking spray for pan
Method -
To make buttermilk, squeeze the lemon and add the juice to the milk. Whisk lightly. Set aside. Into a bowl, sift flour, bi-carb and cream of tartar. Add egg yolks, cottage cheese, buttermilk and orange zest and stir until combined.
In a separate bowl, beat egg whites with a pinch of salt until soft peaks form. Gently stir egg whites into the batter until just combined.
In a pre heated pan, add butter or cooking spray and pour in desired amount of batter. Cook until bubbles appear. Flip pancake and cook until golden brown. Repeat until desired amount of pancakes are cooked. Serve with your favourite toppings.
Variation:
Omit cottage cheese and replace with 1/2 cup sour cream. Follow recipe as above. Makes for very light and smooth textured pancakes.
Enjoy!!


Go to the source code of this file.
Data Structures | |
| struct | direct |
| struct | DIR |
Defines | |
| #define | opendir rb_w32_opendir |
| #define | readdir rb_w32_readdir |
| #define | telldir rb_w32_telldir |
| #define | seekdir rb_w32_seekdir |
| #define | rewinddir rb_w32_rewinddir |
| #define | closedir rb_w32_closedir |
Functions | |
| DIR * | rb_w32_opendir (const char *) |
| DIR * | rb_w32_uopendir (const char *) |
| struct direct * | rb_w32_readdir (DIR *) |
| struct direct * | rb_w32_readdir_with_enc (DIR *, rb_encoding *) |
| long | rb_w32_telldir (DIR *) |
| void | rb_w32_seekdir (DIR *, long) |
| void | rb_w32_rewinddir (DIR *) |
| void | rb_w32_closedir (DIR *) |
| #define closedir rb_w32_closedir |
Definition at line 44 of file dir.h.
Referenced by dir_close(), dir_free(), dir_initialize(), and glob_helper().
| #define opendir rb_w32_opendir |
Definition at line 39 of file dir.h.
Referenced by dir_initialize(), and do_opendir().
| #define rewinddir rb_w32_rewinddir |
Definition at line 43 of file dir.h.
Referenced by dir_each(), and dir_rewind().
| void rb_w32_closedir | ( | DIR * | ) |
Definition at line 1994 of file win32.c.
References DIR::bits, direct::d_name, DIR::dirstr, free, and DIR::start.
Referenced by opendir_internal().
| DIR* rb_w32_opendir | ( | const char * | ) |
Definition at line 1809 of file win32.c.
References filecp_to_wstr, free, NULL, and opendir_internal().
Definition at line 1940 of file win32.c.
References NULL, readdir_internal(), and win32_direct_conv().
| struct direct* rb_w32_readdir_with_enc | ( | DIR * | , | |
| rb_encoding * | ||||
| ) | [read] |
Definition at line 1946 of file win32.c.
References NULL, rb_ascii8bit_encoding(), readdir_internal(), ruby_direct_conv(), and win32_direct_conv().
| void rb_w32_rewinddir | ( | DIR * | ) |
Definition at line 1983 of file win32.c.
References DIR::curr, DIR::loc, and DIR::start.
Referenced by rb_w32_seekdir().
| void rb_w32_seekdir | ( | DIR * | , | |
| long | ||||
| ) |
Definition at line 1969 of file win32.c.
References DIR::curr, DIR::loc, move_to_next_entry(), and rb_w32_rewinddir().
| DIR* rb_w32_uopendir | ( | const char * | ) |
Definition at line 1821 of file win32.c.
References free, NULL, opendir_internal(), and utf8_to_wstr.


--- layout: post title: Core Async Ep1 excerpt: This is a summory after watching Timothy's screencast categories: - Clojure tags: - [Clojure, Async, CSP] ---
Note: This is not my idea but just a summory after watching this timothy's screencast
(ns tbaldridge-clojure-lecture.clojure-async (:require [clojure.core.async :as a :refer [>!! <!! >! <!]]))
>!!
and <!!
(ch (a/chan)) ; ch' size is 1 (>!! ch 43) ; here thread will be blocked (<!! ch) ; This will not be executed
put!
and take!
which is not blocking but parkingwith parking, go block will handle timing of execution of processes so no need to worry about blocking.
(let [ch (a/chan 2)] ;at first time created ch with (a/chan),which buffer size is 1 and blocked :() (>!! ch 43) (<!! (pipeline< [4 inc ; run inc with 4 processes 1 dec 2 dec 3 str] ch))) (defn to-proc< [in] (let [out (a/chan 1)] (a/pipe in out) ; pipe creates new processes -> go block out)) (defn pipeline< "docstring" [desc c] (let [p (partition 2 desc)] ; check *partition* fun (reduce (fn [prev-c [n f]] (-> (for [_ (range n)] (-> (a/map< f prev-c) ;like *map* but second args are chan to-proc<)) (a/merge))) ; pan-in c p)))


--- permalink: /googlec6d0b5d8b46d5214.html --- google-site-verification: googlec6d0b5d8b46d5214.html


| 028:035 Khan | : |
Allah said: "We will strengthen your arm through your brother, and give you both power, so they shall not be able to harm you, with Our Ayat (proofs, evidences, verses, lessons, signs, revelations, etc.), you two as well as those who follow you will be the victors." |
| 028:035 Maulana | : |
He said: We will strengthen thine arm with thy brother, and We will give you both an authority, so that they shall not reach you. With Our signs, you two and those who follow you, will triumph. |
| 028:035 Pickthal | : |
He said: We will strengthen thine arm with thy brother, and We will give unto you both power so that they cannot reach you for Our portents. Ye twain, and those who follow you, will be the winners. |
| 028:035 Rashad | : |
He said, "We will strengthen you with your brother, and we will provide you both with manifest authority. Thus, they will not be able to touch either one of you. With our miracles, the two of you, together with those who follow you, will be the victors." |
| 028:035 Sarwar | : |
The Lord said, "We will support you by your brother and will grant you such prestige that no one will dare to approach anyone of you. By the help of Our miracles both you and your follower will certainly triumph." |
| 028:035 Shakir | : |
He said: We will strengthen your arm with your brother, and We will give you both an authority, so that they shall not reach you; (go) with Our signs; you two and those who follow you shall be uppermost. |
| 028:035 Sherali | : |
God said, 'We will strengthen thine arm with thy brother, and WE will give power to you both so that they shall not reach you. So go with Our Signs. You two and those who follow you will prevail.' |
| 028:035 Yusufali | : |
He said: "We will certainly strengthen thy arm through thy brother, and invest you both with authority, so they shall not be able to touch you: with Our Sign shall ye triumph,- you two as well as those who follow you." |
Concepts/Themes Covered:
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Welcome
This is our Auto Insurance Quoting app
You can get your quote by completing the required fields.
Start!
Make:
Model:
Year:
Mileage:
License Plate:
First Name:
Last Name:
Driver ID:
Age:
Get Quote
Price: $


Random Quote Machine
Start your day with some insipiring quotes
New Quote
New Quote
Hello from the other side.


programming language tracks
Select a preferred company size:
Big Tech Company
Start-up or smaller company
Which end: do you prefer front-end or back-end development
Front-End
Back-End
What do you want to make?
Stand-alone computer program
Web app
When selecting a Legos piece, which is more important?
Shape of the piece. I don't care what the color is as long as it works with what I'm building.
Color, I'll use several smaller pieces to fit if the color is right.
How do you feel about MicroSoft?
I like MicroSoft
I don't care for MicroSoft
Show me!
C#/.NET
Ruby/Rails
CSS/React


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Creates a new cluster. To create the cluster in virtual private cloud (VPC), you must provide cluster subnet group name. If you don't provide a cluster subnet group name or the cluster security group parameter, Amazon Redshift creates a non-VPC cluster, it associates the default cluster security group with the cluster. For more information about managing clusters, go to Amazon Redshift Clusters in the Amazon Redshift Management Guide .
create-cluster
[--db-name <value>]
--cluster-identifier <value>
[--cluster-type <value>]
--node-type <value>
--master-username <value>
--master-user-password <value>
[--cluster-security-groups <value>]
[--vpc-security-group-ids <value>]
[--cluster-subnet-group-name <value>]
[--availability-zone <value>]
[--preferred-maintenance-window <value>]
[--cluster-parameter-group-name <value>]
[--automated-snapshot-retention-period <value>]
[--port <value>]
[--cluster-version <value>]
[--allow-version-upgrade | --no-allow-version-upgrade]
[--number-of-nodes <value>]
[--publicly-accessible | --no-publicly-accessible]
[--encrypted | --no-encrypted]
The name of the first database to be created when the cluster is created.
To create additional databases after the cluster is created, connect to the cluster with a SQL client and use SQL commands to create a database. For more information, go to Create a Database in the Amazon Redshift Developer Guide.
Default: dev
Constraints:
- Must contain 1 to 64 alphanumeric characters.
- Must contain only lowercase letters.
- Cannot be a word that is reserved by the service. A list of reserved words can be found in Reserved Words in the Amazon Redshift Developer Guide.
A unique identifier for the cluster. You use this identifier to refer to the cluster for any subsequent cluster operations such as deleting or modifying. The identifier also appears in the Amazon Redshift console.
Constraints:
- Must contain from 1 to 63 alphanumeric characters or hyphens.
- Alphabetic characters must be lowercase.
- First character must be a letter.
- Cannot end with a hyphen or contain two consecutive hyphens.
- Must be unique for all clusters within an AWS account.
Example: myexamplecluster
The type of the cluster. When cluster type is specified as
- single-node , the --number-of-nodes parameter is not required.
- multi-node , the --number-of-nodes parameter is required.
Valid Values: multi-node | single-node
Default: multi-node
The node type to be provisioned for the cluster. For information about node types, go to Working with Clusters in the Amazon Redshift Management Guide .
Valid Values: dw.hs1.xlarge | dw.hs1.8xlarge .
The user name associated with the master user account for the cluster that is being created.
Constraints:
- Must be 1 - 128 alphanumeric characters.
- First character must be a letter.
- Cannot be a reserved word. A list of reserved words can be found in Reserved Words in the Amazon Redshift Developer Guide.
--master-user-password (string)
The password associated with the master user account for the cluster that is being created.
Constraints:
- Must be between 8 and 64 characters in length.
- Must contain at least one uppercase letter.
- Must contain at least one lowercase letter.
- Must contain one number.
- Can be any printable ASCII character (ASCII code 33 to 126) except ' (single quote), " (double quote), , /, @, or space.
--cluster-security-groups (list)
A list of security groups to be associated with this cluster.
Default: The default cluster security group for Amazon Redshift.
Syntax:
"string" "string" ...
--vpc-security-group-ids (list)
A list of Virtual Private Cloud (VPC) security groups to be associated with the cluster.
Default: The default VPC security group is associated with the cluster.
Syntax:
"string" "string" ...
--cluster-subnet-group-name (string)
The name of a cluster subnet group to be associated with this cluster.
If this parameter is not provided the resulting cluster will be deployed outside virtual private cloud (VPC).
The EC2 Availability Zone (AZ) in which you want Amazon Redshift to provision the cluster. For example, if you have several EC2 instances running in a specific Availability Zone, then you might want the cluster to be provisioned in the same zone in order to decrease network latency.
Default: A random, system-chosen Availability Zone in the region that is specified by the endpoint.
Example: us-east-1d
Constraint: The specified Availability Zone must be in the same region as the current endpoint.
--preferred-maintenance-window (string)
The weekly time range (in UTC) during which automated cluster maintenance can occur.
Format: ddd:hh24:mi-ddd:hh24:mi
Default: A 30-minute window selected at random from an 8-hour block of time per region, occurring on a random day of the week. The following list shows the time blocks for each region from which the default maintenance windows are assigned.
- US-East (Northern Virginia) Region: 03:00-11:00 UTC
- US-West (Oregon) Region 06:00-14:00 UTC
Valid Days: Mon | Tue | Wed | Thu | Fri | Sat | Sun
Constraints: Minimum 30-minute window.
--cluster-parameter-group-name (string)
The name of the parameter group to be associated with this cluster.
Default: The default Amazon Redshift cluster parameter group. For information about the default parameter group, go to Working with Amazon Redshift Parameter Groups
Constraints:
- Must be 1 to 255 alphanumeric characters or hyphens.
- First character must be a letter.
- Cannot end with a hyphen or contain two consecutive hyphens.
--automated-snapshot-retention-period (integer)
The number of days that automated snapshots are retained. If the value is 0, automated snapshots are disabled. Even if automated snapshots are disabled, you can still create manual snapshots when you want with create-cluster-snapshot .
Default: 1
Constraints: Must be a value from 0 to 35.
The port number on which the cluster accepts incoming connections.
The cluster is accessible only via the JDBC and ODBC connection strings. Part of the connection string requires the port on which the cluster will listen for incoming connections.
Default: 5439
Valid Values: 1150-65535
The version of the Amazon Redshift engine software that you want to deploy on the cluster.
The version selected runs on all the nodes in the cluster.
Constraints: Only version 1.0 is currently available.
Example: 1.0
--allow-version-upgrade | --no-allow-version-upgrade (boolean)
If true , upgrades can be applied during the maintenance window to the Amazon Redshift engine that is running on the cluster.
When a new version of the Amazon Redshift engine is released, you can request that the service automatically apply upgrades during the maintenance window to the Amazon Redshift engine that is running on your cluster.
Default: true
The number of compute nodes in the cluster. This parameter is required when the --cluster-type parameter is specified as multi-node .
For information about determining how many nodes you need, go to Working with Clusters in the Amazon Redshift Management Guide .
If you don't specify this parameter, you get a single-node cluster. When requesting a multi-node cluster, you must specify the number of nodes that you want in the cluster.
Default: 1
Constraints: Value must be at least 1 and no more than 100.
--publicly-accessible | --no-publicly-accessible (boolean)
If true , the cluster can be accessed from a public network.
--encrypted | --no-encrypted (boolean)
If true , the data in cluster is encrypted at rest.
Default: false
This example creates a cluster with the minimal set of parameters. By default, the output is in JSON format.
Command:
aws redshift create-cluster --node-type dw.hs1.xlarge --number-of-nodes 2 --master-username adminuser --master-user-password TopSecret1 --cluster-identifier mycluster
Result:
{
"Cluster": {
"NodeType": "dw.hs1.xlarge",
"ClusterVersion": "1.0",
"PubliclyAccessible": "true",
"MasterUsername": "adminuser",
"ClusterParameterGroups": [
{
"ParameterApplyStatus": "in-sync",
"ParameterGroupName": "default.redshift-1.0"
} ],
"ClusterSecurityGroups": [
{
"Status": "active",
"ClusterSecurityGroupName": "default"
} ],
"AllowVersionUpgrade": true,
"VpcSecurityGroups": \[],
"PreferredMaintenanceWindow": "sat:03:30-sat:04:00",
"AutomatedSnapshotRetentionPeriod": 1,
"ClusterStatus": "creating",
"ClusterIdentifier": "mycluster",
"DBName": "dev",
"NumberOfNodes": 2,
"PendingModifiedValues": {
"MasterUserPassword": "\****"
}
},
"ResponseMetadata": {
"RequestId": "7cf4bcfc-64dd-11e2-bea9-49e0ce183f07"
}
}


Old
First
Second
a New row
was added
Third
Fourth
Sample cell
1
2
Sample Cell
2
1
Part of a row
Another
part of a row
This will row
will be removed
Still
Last row
in the table


Net neutrality is the principle that Internet providers like Comcast & Verizon should not control what we see and do online. In 2015, startups, Internet freedom groups, and 3.7 million commenters won strong net neutrality rules from the US Federal Communication Commission (FCC). The rules prohibit Internet providers from blocking, throttling, and paid prioritization—"fast lanes" for sites that pay, and slow lanes for everyone else.
Nearly everyone who understands and depends on the Internet supports net neutrality, whether they're startup founders, activists, gamers, politicians, investors, comedians, YouTube stars, or typical Internet users who just want their Internet to work as advertised—regardless of their political party. But don't take our word for it. Ask around, or watch some of these videos.
Cable companies are famous for high prices and poor service. Several rank as the most hated companies in America. Now, they're lobbying the FCC and Congress to end net neutrality. Why? It's simple: if they win the power to slow sites down, they can bully any site into paying millions to escape the "slow lane." This would amount to a tax on every sector of the American economy. Every site would cost more, since they'd all have to pay big cable. Worse, it would extinguish the startups and independent voices who can't afford to pay. If we lose net neutrality, the Internet will never be the same.
Congress is split into two sides as well. On the one side, there's Team Cable: the members of Congress who will side with the cable companies and oppose net neutrality no matter what their constituents think. On the other, there's Team Internet: the ones who understand the Internet and have spoken out against the FCC's plan to gut net neutrality rules. Then there are some unkowns who just haven't taken a stand yet. We need to hold Team Cable accountable, and pressure the unknowns to join Team Internet. Use the tool below to contact them.
Lawmakers are in-district for August recess.  Click here to find an event near you.
Here are some excellent articles for additional depth. They cover the issue, its political history, the struggles we've overcome, and the fight ahead in Congress and at the FCC.


BigTIFF Design
This is the HTML equivalent of a former Wiki working place for preparing a 64-bit (larger than 4GB) TIFF
format specification. The design is based on a proposal by Steve Carlsen of Adobe, with input from various
other parties.
Briefly
- Version = 43
- 8-byte offset to first IFD
- Value/Offset fields are 8 bytes
- 8-byte offset to the next IFD
- add TIFFType of LONG8, an 8 byte (unsigned) int
- StripOffsets and TileOffsets and ByteCounts can be LONG8
More Detail
- The Version ID, in header bytes 2-3, formerly decimal 42, now changes to 43
- Header bytes 4-5 contain the decimal number 8.
- If there is some other number here, a reader should give up.
- This is to provide a nice way to move to 16-byte pointers some day.
- Header bytes 6-7 are reserved and must be zero.
- If they're not, a reader should give up.
- Header bytes 8-15 contain the 8-byte offset to the first IFD.
- Value/Offset fields are 8 bytes long, and take up bytes 8-15 in an IFD entry.
- If the value is <= 8 bytes, it must be stored in the field.
- All values must begin at an 8-byte-aligned address.
- 8-byte offset to the Next_IFD, at the end of an IFD.
- To keep IFD entries 8-byte-aligned, we begin with an 8-byte (instead of 2-byte) count of the number of directory entries.
- Add TIFFTypes of LONG8 (= 16), an 8 byte (unsigned) int, and SLONG8 (= 17).
- Add TIFFType IFD8 (=18) an 8byte IFD offset.
- StripOffsets and TileOffsets and ByteCounts may be LONG8 or the traditionally allowed LONG or SHORT.
- The proposed extension is ".tf8", and call it "8-Byte TIFF".
Otherwise, it's just like "original TIFF." ("TIFF Classic?")
Open Issues
- What to call the new format
- ChrisCox -- I don't think end users will understand what "8-byte TIFF" means
- AndreyKiselev - 23 Sep 2004 -- What about TIFF64? "64" is a widely used buzzword and should be directly associated with the 64-bit offsets and 64-bit architectures.
- What 3 character file extension to use (gotta be DOS compatible)
- What 4 character file type to use (for Macintosh)
- What MIME type to use
Samples
Example files from Joris Van Damme
Changes
- TIFFType 13 is ttIFD, 14 is assigned to ttUnicode, and 15 is assigned to ttComplex. So, I changed the types for ttLong8 and ttSLong8 to 16 and 17, respectively.
- AndreyKiselev - 23 Sep 2004 -- Where are these fields defined? Is there any new Technical Note or something? And what is encoding behind the word "Unicode"?
- ChrisCox - 27 Sep 2004 -- They are in the Adobe TIFF definitions. I am still working on releasing updated TIFF documentation.
- Added list of open issues.
- settle on version 43
- cleanup
- TIFFType 18 (8 byte IFD) added.
- Clarified that fields which may be LONG8 can also be one of the old supported types.
See also
AWare Systems' informal overview of the BigTIFF proposal


values].
While continuous objects will probably center themselves on the origin,
Discrete 2D objects typically will draw themselves to fill the box (the
box effectively defines the [0,0] to [1,1] range). You may assume that
the coordinates will never be fipped or zeroed (that is, the width and
height will not be negative or 0).
Why is this rectangle being provided instead of just using an affine transform
on the grahics object to scale and translate the space? Two reasons. First,
affine transforms are expensive in Java2D. Second, if you need to draw auxillary
information (like readable text), the text would also get transformed (scaled), which
is not what we want. Line thickness is also likewise transformed, which might or
might not be desirable.
The clip rectangle describes a box defining a region that must be drawn.
This region will always intersect at least partially with the draw rectangle.
Why provide this clip rectangle? Because to my knowledge there's no standard way to
tell objects that only part of them needs to be updated in Java2D and Swing -- a failure
of the system design.
The precise flag hints to the underlying portrayals that the drawing should be
done precisely rather than rapidly: this is primarily for generating PDF images. It may
be ignored.
The selected flag indicates to the underlying portrayals that the object in question
is in selected mode. This flag is only set by FieldPortrayals.
The location object may store the location of the item in the outer Field.
Fields are free to not store anything here if they see fit. Further, this
object may not be the actual kind of object used to store the location (for example,
it might be a MutableDouble2D, even though the object is associated with a Double2D).


[1]one one one one one one one one one one one one one one one one one one one one one one one one one one one one one one one one
[2]positionné zindex -1
[3]non positionné non positionné non positionné non positionné non positionné non positionné non positionné in html order
[5]i am inlinei am inlinei am inlinei am inlinei am inlinei am inlinei am inlinei am inlinei am inlinei am inlinei am inline
inline bl
[6a] block non positionné stack 0
[6b]block positionné stack 0
[6c]fixed position is relative to initial containing block (viewport) but its zindex is relative to its parent sc
[6d]block opacity
[6e]block transform(relative to edge)
[7]two two two two v two two two two two two two two v two two two two two two two two v two two two two (zindex>0)
three three three three three three three three three three three three three three three three three three three three three three three three


Judge Restrains Feds From Blocking Asylum Seekers’ Access to Attorneys
by BIANCA BRUNOSAN DIEGO (CN) – A federal judge Tuesday restrained the federal government from blocking asylum seekers’ access to attorneys when interviewed about their fear of being returned to Mexico under the Migrant Protection Protocols – also known as the “Remain in Mexico” – policy.
In an 11-page order, U.S. District Judge Dana Sabraw ruled that a Guatemalan father’s right to the assistance of retained counsel during a non-refoulement interview under the MPP program was violated by immigration agents, who did not allow the father to be advised by his attorney when he claimed a fear of being returned to Tijuana while the family’s immigration case is adjudicated in the U.S.
The parents of five children filed a class action in the Southern District of California last week claiming their due process rights were violated by the government’s practice of denying access to attorneys during the non-refoulement interview process where, by international treaty and U.S. statute, the U.S. is bound not to return individuals “to a country where their life or freedom would be threatened on specified grounds.”
The family claims that while they traveled through Mexico to seek asylum in the U.S. they were attacked by men in government uniforms who beat them and made them strip naked. Their 17-year-old daughter, who survived being raped in Guatemala, was choked by one of the assailants in Mexico, according to the family’s complaint.
Justice Department attorney Samuel Bettwy argued last week that, because the father never asked to see an attorney, he could not have been denied access to counsel.
Bettwy said the interview process for asylum seekers to express a fear of being returned to Mexico is not consistently applied along the U.S.-Mexico border.
“It depends what part of the country you’re in,” he said said.
In his order Tuesday, Sabraw, a George W. Bush appointee, found the parents were likely to succeed under the merits of their case because the Administrative Procedure Act’s “default provision” provides the right to access of counsel during their non-refoulement interview.
Sabraw’s finding negates the Justice Department’s argument that the Immigration and Nationality Act supersedes the Administrative Procedure Act and does not permit access to counsel.
“In other words, if the INA does not provide the procedure, the APA default provisions necessarily still apply,” Sabraw wrote.
The judge also found the parents showed a likelihood of irreparable harm if they were returned to Mexico where they had already been subjected to violence.
The family claims since they have been in Tijuana awaiting their immigration court hearings in San Diego they survived a shoot-out outside their temporary shelter.
Sabraw agreed the non-refoulement interview is “high stakes,” noting the decision is not appealable and the parents’ argument they could not meaningfully participate in the interview without their attorney.
“Petitioners face potential persecution and harm should they be returned to Mexico. The balance of factors tips decidedly in favor of petitioners,” Sabraw wrote.
Sabraw scheduled a hearing on class certification and preliminary injunction for Dec. 13.
Copyright © 2019 courthousenews.com


#include <helpiface.hpp>
Public Member Functions | |
| virtual void | print () const =0 |
| Print help. | |
| virtual void | setProgramDescription (const QString &desc)=0 |
| Set program description that will be used as first line in the help. | |
| virtual void | setExecutableName (const QString &exec)=0 |
| Set executable name that defined in argv[0] or something else. | |
| virtual void | setUsageString (const QString &usage)=0 |
| Set "USAGE" string. | |
| virtual void | setHelpString (const QString &help)=0 |
| Set "HELP" string. | |
| virtual void | setDelimiterChar (const QChar &delim)=0 |
| Set delimiter character. | |
Static Public Attributes | |
| static const QString | beforeFlags |
| Space before flags. | |
| static const QString | afterFlags |
| Space after flags and ','. | |
| static const QString | namesSeparator |
| String between names. | |
| static const QString | beforeNames |
| Space before names. | |
| static const QString | beforeDescription |
| Space before description. | |
| static const QString | flagMarker |
| Is a character used to specify flag. | |
| static const QString | nameMarker |
| Is a doubled flagMarker. | |
| static const QString | newLine |
| New line in help string. | |
| static const QString | argValue |
| String with value of the argument. |
const QString QtArgHelpPrinterIface::beforeFlags [static] |
Initial value:
QLatin1String( "%beforeFlags%" )
Usually it's a constant, somewhere 1 blank space.
const QString QtArgHelpPrinterIface::afterFlags [static] |
Initial value:
QLatin1String( "%afterFlags%" )
This is a variable length blank space with comma. It may looks like this: ", ". The length of blank space depends on max length of the flags string and argValue length if it presents. argValue will present after flags string if there is no argument's names for this argument.
const QString QtArgHelpPrinterIface::namesSeparator [static] |
Initial value:
QLatin1String( "%namesSeparator%" )
It can be like this one: ", ".
const QString QtArgHelpPrinterIface::beforeNames [static] |
Initial value:
QLatin1String( "%beforeNames%" )
Equals to beforeFlags + longest flags string. This constant should be used if argument doesn't have any flags and only names. This guarantee that names will shown in necessary column.
const QString QtArgHelpPrinterIface::beforeDescription [static] |
Initial value:
QLatin1String( "%beforeDescription%" )
Usually used after names or flags.
const QString QtArgHelpPrinterIface::argValue [static] |
Initial value:
QLatin1String( "%value%" )
Usually it's a "<arg>".


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