|
|
The Common Lisp standard is huge.
Proponents of other Lisp dialects such as Scheme point out that their standards are
shorter than the index to the Common Lisp standard. The
reason it is so large is that it defines a very complete, well
integrated, library of utilities. This includes:
- data objects which contain run-time type information
- about 100 well defined mathematical functions operating on many
number types including:
- unlimited precision integers (which do not overflow)
- rational numbers (which do not suffer from round-off errors)
- complex numbers
- powerful arrays which can be:
- heterogeneous
(i.e. can store different types of data at once)
- dynamic (i.e. can grow or shrink as necessary)
- displaced (i.e. can reference other arrays of possibly different
rank)
- Do proper bounds checking.
- list data types which can be grown or shrunk more efficiently than
arrays, and are particularly useful for representing trees, queues, etc.
- hash tables for efficiently storing large data sets referenced using
any object as a key rather than only integer indices.
- polymorphic functions which operate, for example, on any kind of
sequence, including strings, lists, and various kinds of one
dimensional arrays (including heterogeneous lists and vectors)
- a powerful, customizable, and ANSI standardized reader, printer
and stream I/O system. The printer can print any program data in
a formatted program- or human-readable form, without requiring the
programmer to identify the format of the data to printed. This is
especially usefull for debugging and creating scripts.
- a powerful, customizable,
and ANSI standardized error signaling
system
- a well founded, consistent, ANSI standardized, platform
independent set of system tools including logical pathnames,
timing and date utilities, etc.
- powerful function definition facilities, including:
- Compiled functions which can be redefined at run time.
- Closures. These are nested function definitions which can refer to local
variables and labels of the function in which they were defined.
Unlike the lexical functions provided by some C extensions,
Lisp closures can be returned from
functions and still be called. (I.e. they have indefinite extent.)
- Named arguments (i.e. keyword arguments)
- Generic Functions (dynamic polymorphism)
- Functions which return multiple values.
- sophisticated control structure, including:
- lexical exits (i.e. returns) which are properly integrated with
closures.
- go labels which are are properly integrated with closures.
- dynamic exits (i.e. catch/throw).
- dynamic binding (and unwinding) of global variables.
- unwind-protection, in which clean up code from a pending caller
is guaranteed to be executed -- even if control is transferred
due to an error, a lexical or dynamic exit, or a "go"
While less powerful and ad-hoc versions of some of these utilities
have been added or are being added to C, C++, and Java, only Common
Lisp defines them all in an integrated, well reasoned, ANSI
standardized manner.
The standard requires that all these utilities be present in an interactive environment which allows code to be
developed and debugged. Applications may be run from within this
environment, sometimes using utilities from
other languages as well.
Many implementations also provide the
ability to create stand-alone applications which do not use the
entire library, but only those parts that are accessed by the
application. This task is sometimes made more complicated by the dynamic nature of Lisp, which can make it
difficult to determine what utilities will actually be used at
run-time.
|


Treebank Statistics: UD_Breton-KEB: Features: Number
This feature is universal.
It occurs with 2 different values: Plur
, Sing
.
3687 tokens (37%) have a non-empty value of Number
.
1664 types (68%) occur at least once with a non-empty value of Number
.
1150 lemmas (67%) occur at least once with a non-empty value of Number
.
The feature is used with 7 part-of-speech tags: NOUN (1960; 19% instances), VERB (956; 10% instances), PROPN (308; 3% instances), NUM (222; 2% instances), PRON (220; 2% instances), DET (20; 0% instances), ADJ (1; 0% instances).
NOUN
1960 NOUN tokens (98% of all NOUN
tokens) have a non-empty value of Number
.
The most frequent other feature values with which NOUN
and Number
co-occurred: Gender=Masc (1348; 69%).
NOUN
tokens may have the following values of Number
:
Plur
(504; 26% of non-emptyNumber
): dud, vugale, tud, traoù, preudeur, merc’hed, rannvroioù, skolioù, skeudennoù, wazedSing
(1456; 74% of non-emptyNumber
): levr, den, ti, brezhoneg, labour, yezh, vro, istor, rannvro, broEMPTY
(30): Ebrel, Even, sadorn, Meurzh, Sul, Genver, Gwengolo, Yaou, C’hwevrer, Gouhere
| Paradigm den | Sing | Plur |
|---|---|---|
| den, zen, nen | dud, tud, zud |
VERB
956 VERB tokens (52% of all VERB
tokens) have a non-empty value of Number
.
The most frequent other feature values with which VERB
and Number
co-occurred: VerbForm=Fin (878; 92%), Mood=Ind (789; 83%), Person=3 (785; 82%), Tense=Pres (538; 56%).
VERB
tokens may have the following values of Number
:
Plur
(140; 15% of non-emptyNumber
): o deus, tennit, lennont, o doa, gavint, hon eus, klaskit, meskit, Lakait, emaintSing
(816; 85% of non-emptyNumber
): eo, oa, vo, zo, ra, vez, en deus, voe, emañ, ranEMPTY
(877): bet, kinniget, graet, dont, ober, gouestlet, gwelet, bezañ, lennet, aozet
| Paradigm bezañ | Sing | Plur |
|---|---|---|
| Aspect=Hab|Person=2|Tense=Pres|VerbForm=Fin | vezit | |
| Aspect=Hab|Person=3|Tense=Past|VerbForm=Fin | veze | |
| Aspect=Hab|Person=3|Tense=Pres|VerbForm=Fin | vez | vezont |
| Mood=Cnd|Person=1 | vefen | |
| Mood=Cnd|Person=3 | vefe, ve | |
| Mood=Ind|Person=1|Tense=Fut|VerbForm=Fin | vin | |
| Mood=Ind|Person=1|Tense=Past|VerbForm=Fin | edon, oan | |
| Mood=Ind|Person=1|Tense=Pres|VerbForm=Fin | on, emaon | omp |
| Mood=Ind|Person=2|Tense=Fut|VerbForm=Fin | vioc'h, viot | |
| Mood=Ind|Person=2|Tense=Pres|VerbForm=Fin | out, Emaout | |
| Mood=Ind|Person=3|Tense=Fut|VerbForm=Fin | vo, vezo | vint |
| Mood=Ind|Person=3|Tense=Past|VerbForm=Fin | oa | oant |
| Mood=Ind|Person=3|Tense=Pres|VerbForm=Fin | eo, zo, emañ, ez eus, 'zo | emaint, int |
| Mood=Ind|Person=Auto|Tense=Pres|VerbForm=Fin | eur | |
| Person=3 | vije | |
| Person=3|Tense=Past|VerbForm=Fin | voe |
PROPN
308 PROPN tokens (100% of all PROPN
tokens) have a non-empty value of Number
.
The most frequent other feature values with which PROPN
and Number
co-occurred: Gender=EMPTY (201; 65%).
PROPN
tokens may have the following values of Number
:
Plur
(1; 0% of non-emptyNumber
): Stadoù-UnanetSing
(307; 100% of non-emptyNumber
): Breizh, Yann, Pariz, Frañs, Kembre, Yannig, Lenaig, Naoned, Brezhoneg, Europa
Number
seems to be lexical feature of PROPN
. 100% lemmas (112) occur only with one value of Number
.
NUM
222 NUM tokens (96% of all NUM
tokens) have a non-empty value of Number
.
The most frequent other feature values with which NUM
and Number
co-occurred: Gender=EMPTY (184; 83%).
NUM
tokens may have the following values of Number
:
Plur
(203; 91% of non-emptyNumber
): daou, 2007, 4, 000, 1950, 20, 3, 30, 10, 2Sing
(19; 9% of non-emptyNumber
): unan, 1, 1añ, 23e, 5e, IXvet, XVIIvet, 31añEMPTY
(10): eil, 13vet, X, c’hentañ, drede, kentañ, trede
Number
seems to be lexical feature of NUM
. 100% lemmas (117) occur only with one value of Number
.
PRON
220 PRON tokens (91% of all PRON
tokens) have a non-empty value of Number
.
The most frequent other feature values with which PRON
and Number
co-occurred: PronType=Prs (175; 80%), Gender=EMPTY (154; 70%), Case=Acc (132; 60%).
PRON
tokens may have the following values of Number
:
Plur
(70; 32% of non-emptyNumber
): h, _, holl, o, int, anezho, ar re all, c’hwi, Ni, anezheSing
(150; 68% of non-emptyNumber
): _, me, hini, i, añ, netra, a, hi, re, -meEMPTY
(21): piv, petra, ‘ni, hag-eñ
| Paradigm indirect | Sing | Plur |
|---|---|---|
| Gender=Masc|Person=3 | _, añ, nañ, nnañ | |
| Gender=Fem|Person=3 | i, _, nni, zi, ni | |
| Person=1 | _ | _ |
| Person=2 | _ | h |
| Person=3 | _, o, nno, no |
DET
20 DET tokens (2% of all DET
tokens) have a non-empty value of Number
.
The most frequent other feature values with which DET
and Number
co-occurred: Poss=EMPTY (20; 100%).
DET
tokens may have the following values of Number
:
Plur
(6; 30% of non-emptyNumber
): aSing
(14; 70% of non-emptyNumber
): bep, pep, kementEMPTY
(1185): ar, an, ur, al, un, r, e, ho, n, o
ADJ
1 ADJ tokens (0% of all ADJ
tokens) have a non-empty value of Number
.
ADJ
tokens may have the following values of Number
:
Sing
(1; 100% of non-emptyNumber
): kentEMPTY
(434): ret, nevez, bras, yaouank, mat, all, gentañ, bihan, kentañ, brav
Relations with Agreement in Number
The 10 most frequent relations where parent and child node agree in Number
:
NOUN –[nmod:gen]–> NOUN (177; 60%),
NOUN –[conj]–> NOUN (83; 75%),
NOUN –[nmod]–> NOUN (65; 58%),
NOUN –[cop]–> VERB (58; 73%),
NOUN –[nmod:gen]–> PROPN (55; 83%),
VERB –[nsubj]–> PRON (33; 59%),
NOUN –[nsubj]–> NOUN (29; 88%),
NOUN –[obl]–> NOUN (20; 95%),
NOUN –[appos]–> NOUN (15; 79%),
NOUN –[nsubj]–> PROPN (15; 100%).


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| Home | Trees | Index | Help |
|
|---|
| Package openid :: Package yadis :: Module accept |
|
| Function Summary | |
|---|---|
Generate an accept header value | |
Parse the accept header and return a list of available types in preferred order. | |
Given the result of parsing an Accept: header, and the available MIME types, return the acceptable types with their quality markdowns. | |
Parse an accept header, ignoring any accept-extensions |
| Function Details |
|---|
generateAcceptHeader(*elements)Generate an accept header value [str or (str, float)] -> str |
getAcceptable(accept_header, have_types)Parse the accept header and return a list of available types in preferred order. If a type is unacceptable, it will not be in the resulting list. This is a convenience wrapper around matchTypes and parseAcceptHeader. (str, [str]) -> [str] |
matchTypes(accept_types, have_types)Given the result of parsing an Accept: header, and the available MIME types, return the acceptable types with their quality markdowns. For example:>>> acceptable = parseAcceptHeader('text/html, text/plain; q=0.5') >>> matchTypes(acceptable, ['text/plain', 'text/html', 'image/jpeg']) [('text/html', 1.0), ('text/plain', 0.5)]Type signature: ([(str, str, float)], [str]) -> [(str, float)] |
parseAcceptHeader(value)Parse an accept header, ignoring any accept-extensions returns a list of tuples containing main MIME type, MIME subtype, and quality markdown. str -> [(str, str, float)] |
| Home | Trees | Index | Help |
|
|---|
| Generated by Epydoc 2.1 on Fri Dec 14 16:10:52 2007 | http://epydoc.sf.net |


You are using basic authentication but the CORS handshake will probably fail if the ActiveMQ address ({{amqInfo.brokerip}}:{{amqInfo.brokerport}}) and your current URL ({{amqInfo.host}}) don't have the same origin. Deploy the console application in the webapps folder of ActiveMQ in order to avoid this. You can also try remove the CORS handshake from your browser.


?6
7
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10
____
.
.
.
.
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New
York
copyright
reserved
botanical
Garden
ANTS
OF
HAITI
ÀA4*
\J
Vallee,
Tortue
Island
New
York
Botanical
Garden
lb05031
Vicinity
of
12a.
No
//'7*7
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EMERY
C.
LEONARD
{ã
n
1,01
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Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


WITNESS LIST S/C on Higher Education Committee May 19, 2005 - 1:30P HB 2041 ON: Hollis, Lois Asst. Comm. Student Services (Texas Higher Ed. Co. Board), Austin, TX Matthews, Charles R. Chancellor (Tx State University System), Austin, TX HB 2806 FOR: Reed, Bruce Career Education (American Commercial Colleges), San Angelo, TX Sheets, Brent President - American Commercial College (Career Colleges and Schools of Texas), Lubbock, TX Valdez, Jerry Lobbyist (Career Colleges and Schools of Texas), Austin, TX


 If we limit its use it might be more fun.
The following diagram has a block missing that will limit the use of kill Aura.
What block should you put there and what is the affect on the behavior of the KillAura stick?


Squid checks this value last, after checking
quick_abort_max, for a transfer aborted by the
user. If Squid has already received at least this percentage of the
response, it continues reading the data from the origin server so the
entire response is cached. |
Syntax
|
quick_abort_pct percentage
| |
Default
|
quick_abort_pct 95%
| |
Example
|
quick_abort_pct 75%
| |
Related
|
quick_abort_min,
quick_abort_max
|
|


GET https://apis.wso2.com/api/am/publisher/v1/alert-subscriptions
This operation is used to get the list of subscribed alert types by the user.
apim:pub_alert_manage
GET null HTTP 1/1
Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2
HTTP 1/1 200 OK
Content-Type: application/json
{
"alerts" : [ {
"id" : 1,
"name" : "AbnormalRequestTime",
"configuration" : [ {
"configurationId" : "UGl6emFTaGFja0FQSSMxLjAuMA",
"configuration" : {
"apiName" : "PizzaShackAPI",
"apiVersion" : "1.0.0",
"requestTime" : "12"
}
} ]
} ],
"emailList" : [<EMAIL_ADDRESS>]
}
curl -k -v -X GET 'null' -H 'Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2'
| Type | Name | Description | Schema | Default |
|---|
| HTTP Code | Description | Schema |
|---|---|---|
200 |
OK. The list of subscribed alert types are returned. |
AlertsInfo |
500 |
Internal Server Error An error occurred while retrieving subscribed alert types by user. |
Error |
PUT https://apis.wso2.com/api/am/publisher/v1/alert-subscriptions
This operation is used to get the list of subscribed alert types by the user.
apim:pub_alert_manage
PUT https://localhost:9443/api/am/publisher/v1/alert-subscriptions HTTP 1/1
Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2
Content-Type: application/json
{
"alerts" : [ {
"id" : 1,
"name" : "AbnormalRequestsTime",
"configuration" : [ {
"configurationId" : "UGl6emFTaGFja0FQSSMxLjAuMA",
"configuration" : {
"apiName" : "PizzaShackAPI",
"apiVersion" : "1.0.0",
"requestTime" : "12"
}
} ]
} ],
"emailList" : [<EMAIL_ADDRESS>]
}
HTTP 1/1 200 OK
Content-Type: application/json
{
"alerts" : [ {
"id" : 1,
"name" : "AbnormalRequestsPerMin",
"configuration" : [ {
"configurationId" : "UGl6emFTaGFja0FQSSMxLjAuMA",
"configuration" : {
"apiName" : "PizzaShackAPI",
"apiVersion" : "1.0.0",
"requestTime" : "12"
}
} ]
} ],
"emailList" : [ "string" ],
"failedConfigurations" : [ {
"configurationId" : "UGl6emFTaGFja0FQSSMxLjAuMA",
"configuration" : {
"apiName" : "PizzaShackAPI",
"apiVersion" : "1.0.0",
"applicationName" : "DefaultApplication",
"requestTime" : "12"
}
} ]
}
curl -k -v -X PUT 'https://localhost:9443/api/am/publisher/v1/alert-subscriptions' -H 'Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2' -H 'Content-Type: application/json' -d @payload.json
| Type | Name | Description | Schema | Default |
|---|---|---|---|---|
| Body |
body required |
The alerts list and the email list to subscribe. |
AlertsInfo (AlertsInfo) |
| HTTP Code | Description | Schema |
|---|---|---|
201 |
OK. Successful response with the newly subscribed alerts. |
AlertsInfoResponse |
400 |
Bad Request. Invalid Request or request validation failure. |
|
500 |
Internal Server Error An internal server error occurred while subscribing to alerts. |
Error |
DELETE https://apis.wso2.com/api/am/publisher/v1/alert-subscriptions
This operation is used to unsubscribe the respective user from all the alert types.
apim:pub_alert_manage
DELETE https://localhost:9443/api/am/publisher/v1/alert-subscriptions HTTP 1/1
Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2
Content-Type: application/json
HTTP 1/1 200 OK
Content-Type: application/json
curl -k -v -X DELETE 'https://localhost:9443/api/am/publisher/v1/alert-subscriptions' -H 'Authorization: Bearer eff01a97-4dc0-3542-a184-75aecf355ec2' -H 'Content-Type: application/json'
| Type | Name | Description | Schema | Default |
|---|
| HTTP Code | Description | Schema |
|---|---|---|
200 |
OK. The user is unsubscribed from the alerts successfully. |
|
500 |
Internal Server Error |
Error |


MaxPooling1D
keras.layers.MaxPooling1D(pool_size=2, strides=None, padding='valid', data_format='channels_last')
Max pooling operation for temporal data.
Arguments
- pool_size: Integer, size of the max pooling windows.
- strides: Integer, or None. Factor by which to downscale.
E.g. 2 will halve the input.
If None, it will default to
pool_size
. - padding: One of
"valid"
or"same"
(case-insensitive). - data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, steps, features)
whilechannels_first
corresponds to inputs with shape(batch, features, steps)
.
Input shape
- If
data_format='channels_last'
: 3D tensor with shape:(batch_size, steps, features)
- If
data_format='channels_first'
: 3D tensor with shape:(batch_size, features, steps)
Output shape
- If
data_format='channels_last'
: 3D tensor with shape:(batch_size, downsampled_steps, features)
- If
data_format='channels_first'
: 3D tensor with shape:(batch_size, features, downsampled_steps)
MaxPooling2D
keras.layers.MaxPooling2D(pool_size=(2, 2), strides=None, padding='valid', data_format=None)
Max pooling operation for spatial data.
Arguments
- pool_size: integer or tuple of 2 integers, factors by which to downscale (vertical, horizontal). (2, 2) will halve the input in both spatial dimension. If only one integer is specified, the same window length will be used for both dimensions.
- strides: Integer, tuple of 2 integers, or None.
Strides values.
If None, it will default to
pool_size
. - padding: One of
"valid"
or"same"
(case-insensitive). - data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, height, width, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, height, width)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 4D tensor with shape:(batch_size, rows, cols, channels)
- If
data_format='channels_first'
: 4D tensor with shape:(batch_size, channels, rows, cols)
Output shape
- If
data_format='channels_last'
: 4D tensor with shape:(batch_size, pooled_rows, pooled_cols, channels)
- If
data_format='channels_first'
: 4D tensor with shape:(batch_size, channels, pooled_rows, pooled_cols)
MaxPooling3D
keras.layers.MaxPooling3D(pool_size=(2, 2, 2), strides=None, padding='valid', data_format=None)
Max pooling operation for 3D data (spatial or spatio-temporal).
Arguments
- pool_size: tuple of 3 integers, factors by which to downscale (dim1, dim2, dim3). (2, 2, 2) will halve the size of the 3D input in each dimension.
- strides: tuple of 3 integers, or None. Strides values.
- padding: One of
"valid"
or"same"
(case-insensitive). - data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, spatial_dim1, spatial_dim2, spatial_dim3, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, spatial_dim1, spatial_dim2, spatial_dim3)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 5D tensor with shape:(batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels)
- If
data_format='channels_first'
: 5D tensor with shape:(batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3)
Output shape
- If
data_format='channels_last'
: 5D tensor with shape:(batch_size, pooled_dim1, pooled_dim2, pooled_dim3, channels)
- If
data_format='channels_first'
: 5D tensor with shape:(batch_size, channels, pooled_dim1, pooled_dim2, pooled_dim3)
AveragePooling1D
keras.layers.AveragePooling1D(pool_size=2, strides=None, padding='valid', data_format='channels_last')
Average pooling for temporal data.
Arguments
- pool_size: Integer, size of the average pooling windows.
- strides: Integer, or None. Factor by which to downscale.
E.g. 2 will halve the input.
If None, it will default to
pool_size
. - padding: One of
"valid"
or"same"
(case-insensitive). - data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, steps, features)
whilechannels_first
corresponds to inputs with shape(batch, features, steps)
.
Input shape
- If
data_format='channels_last'
: 3D tensor with shape:(batch_size, steps, features)
- If
data_format='channels_first'
: 3D tensor with shape:(batch_size, features, steps)
Output shape
- If
data_format='channels_last'
: 3D tensor with shape:(batch_size, downsampled_steps, features)
- If
data_format='channels_first'
: 3D tensor with shape:(batch_size, features, downsampled_steps)
AveragePooling2D
keras.layers.AveragePooling2D(pool_size=(2, 2), strides=None, padding='valid', data_format=None)
Average pooling operation for spatial data.
Arguments
- pool_size: integer or tuple of 2 integers, factors by which to downscale (vertical, horizontal). (2, 2) will halve the input in both spatial dimension. If only one integer is specified, the same window length will be used for both dimensions.
- strides: Integer, tuple of 2 integers, or None.
Strides values.
If None, it will default to
pool_size
. - padding: One of
"valid"
or"same"
(case-insensitive). - data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, height, width, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, height, width)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 4D tensor with shape:(batch_size, rows, cols, channels)
- If
data_format='channels_first'
: 4D tensor with shape:(batch_size, channels, rows, cols)
Output shape
- If
data_format='channels_last'
: 4D tensor with shape:(batch_size, pooled_rows, pooled_cols, channels)
- If
data_format='channels_first'
: 4D tensor with shape:(batch_size, channels, pooled_rows, pooled_cols)
AveragePooling3D
keras.layers.AveragePooling3D(pool_size=(2, 2, 2), strides=None, padding='valid', data_format=None)
Average pooling operation for 3D data (spatial or spatio-temporal).
Arguments
- pool_size: tuple of 3 integers, factors by which to downscale (dim1, dim2, dim3). (2, 2, 2) will halve the size of the 3D input in each dimension.
- strides: tuple of 3 integers, or None. Strides values.
- padding: One of
"valid"
or"same"
(case-insensitive). - data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, spatial_dim1, spatial_dim2, spatial_dim3, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, spatial_dim1, spatial_dim2, spatial_dim3)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 5D tensor with shape:(batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels)
- If
data_format='channels_first'
: 5D tensor with shape:(batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3)
Output shape
- If
data_format='channels_last'
: 5D tensor with shape:(batch_size, pooled_dim1, pooled_dim2, pooled_dim3, channels)
- If
data_format='channels_first'
: 5D tensor with shape:(batch_size, channels, pooled_dim1, pooled_dim2, pooled_dim3)
GlobalMaxPooling1D
keras.layers.GlobalMaxPooling1D(data_format='channels_last')
Global max pooling operation for temporal data.
Arguments
- data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, steps, features)
whilechannels_first
corresponds to inputs with shape(batch, features, steps)
.
Input shape
- If
data_format='channels_last'
: 3D tensor with shape:(batch_size, steps, features)
- If
data_format='channels_first'
: 3D tensor with shape:(batch_size, features, steps)
Output shape
2D tensor with shape:
(batch_size, features)
GlobalAveragePooling1D
keras.layers.GlobalAveragePooling1D(data_format='channels_last')
Global average pooling operation for temporal data.
Arguments
- data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, steps, features)
whilechannels_first
corresponds to inputs with shape(batch, features, steps)
.
Input shape
- If
data_format='channels_last'
: 3D tensor with shape:(batch_size, steps, features)
- If
data_format='channels_first'
: 3D tensor with shape:(batch_size, features, steps)
Output shape
2D tensor with shape:
(batch_size, features)
GlobalMaxPooling2D
keras.layers.GlobalMaxPooling2D(data_format=None)
Global max pooling operation for spatial data.
Arguments
- data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, height, width, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, height, width)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 4D tensor with shape:(batch_size, rows, cols, channels)
- If
data_format='channels_first'
: 4D tensor with shape:(batch_size, channels, rows, cols)
Output shape
2D tensor with shape:
(batch_size, channels)
GlobalAveragePooling2D
keras.layers.GlobalAveragePooling2D(data_format=None)
Global average pooling operation for spatial data.
Arguments
- data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, height, width, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, height, width)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 4D tensor with shape:(batch_size, rows, cols, channels)
- If
data_format='channels_first'
: 4D tensor with shape:(batch_size, channels, rows, cols)
Output shape
2D tensor with shape:
(batch_size, channels)
GlobalMaxPooling3D
keras.layers.GlobalMaxPooling3D(data_format=None)
Global Max pooling operation for 3D data.
Arguments
- data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, spatial_dim1, spatial_dim2, spatial_dim3, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, spatial_dim1, spatial_dim2, spatial_dim3)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 5D tensor with shape:(batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels)
- If
data_format='channels_first'
: 5D tensor with shape:(batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3)
Output shape
2D tensor with shape:
(batch_size, channels)
GlobalAveragePooling3D
keras.layers.GlobalAveragePooling3D(data_format=None)
Global Average pooling operation for 3D data.
Arguments
- data_format: A string,
one of
channels_last
(default) orchannels_first
. The ordering of the dimensions in the inputs.channels_last
corresponds to inputs with shape(batch, spatial_dim1, spatial_dim2, spatial_dim3, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, spatial_dim1, spatial_dim2, spatial_dim3)
. It defaults to theimage_data_format
value found in your Keras config file at~/.keras/keras.json
. If you never set it, then it will be "channels_last".
Input shape
- If
data_format='channels_last'
: 5D tensor with shape:(batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels)
- If
data_format='channels_first'
: 5D tensor with shape:(batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3)
Output shape
2D tensor with shape:
(batch_size, channels)


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Ground Control To Major Dimitri
by Luke PlunkettLars Sowig is an artist at DICE who has previously worked on games like The Division 2 and Warface.
You can see more of Lars’ stuff at his ArtStation page.
Lars Sowig is an artist at DICE who has previously worked on games like The Division 2 and Warface.
You can see more of Lars’ stuff at his ArtStation page.


Wasmtime
A small and efficient runtime for WebAssembly & WASI
Start using the latest developments in WebAssembly and WASI with the Wasmtime runtime.
Wasmtime supports the WebAssembly Interface Types proposal:
Installing Wasmtime
It looks like you’re running macOS or Linux. To download and install Wasmtime, run the following in your terminal, then follow the on-screen instructions.
curl https://wasmtime.dev/install.sh -sSf | bash
It looks like you’re running Windows. To install Wasmtime, download and run the following, and then follow the onscreen instructions.
If you’re a Windows Subsystem for Linux user run the following in your terminal, then follow the on-screen instructions to install Wasmtime.
curl https://wasmtime.dev/install.sh -sSf | bash
If you’re running macOS or Linux, download and install Wasmtime by running the following in your terminal and following the on-screen instructions.
curl https://wasmtime.dev/install.sh -sSf | bash
If you are running Windows, download and run the Wasmtime Installer then follow the on-screen instructions.
Alternatively, you can also download releases for all supported platforms from the Wasmtime GitHub page.
Building Wasmtime
System requirements
Building Wasmtime requires a recent version of the Rust compiler and toolchain, and a C++ toolchain released after 2007.
Downloading and building the sources
With those requirements in place, you can download and build the Wasmtime source:
git clone --recurse-submodules \
https://github.com/bytecodealliance/wasmtime.git
cargo build --release
Targeting Wasmtime
We're maintaining WASI toolchains for Rust and C/C++. For an introduction to those, please see our WASI tutorial, which has sections on C and Rust.
See our demos repository for some examples of content to run in, and ways to use Wasmtime.
For more information on WASI, see the WASI homepage.


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● Full-Cycle Recruitment
● Web-Based Sourcing/Recruitment
● New Hire Orientation
● Employee Relation Management
● Knowledge of Employment Laws
● Experienced with Applicant Tracking System (ATS) - Bullhorn
● Background & Reference Check
● Phone and In-Person Interviews
● Fluent in English, Mandarin, and Cantonese
● Proficient skills in Microsoft Suites.
● Typing speed: 80-85 WPM
● Administrative & Clerical Duties
Recruiting Coordinator | April 2018 - Present
● Post detailed job descriptions on websites such as Indeed, ZipRecruiter, and LinkedIn v
● Implement recruiting strategies to increase application rate by 850% and demonstrated
distinctive improvements in the qualities of candidates
● Coordinate individual phone screens and in-person interviews
● Promote job opportunities through cold-calling and LinkedIn In-Mails
● Prepare onboarding documents such as offer letter and benefits packages
● Conduct new hire orientations, ensure all required documents are completed, clarify company
policies, and explain company benefits
● Calculate weekly and monthly Key Performance Indicators (KPIs) to analyze staffing strength and
company retention rate
● Speak with school representatives and event organizers regarding company participation in
career fairs and job shadow programs
● Modify interview and orientation process to maintain efficiency and clear communication
● Communicate with department manager(s) on position requirements and expectations
● Answer candidate questions regarding company culture and position details
● Manage up to 20 open positions simultaneously and successfully filled multiple openings within
first 90 days of employment
● Follow-up with candidates after they begin their employment and seek improvement
opportunities in company culture and strategies
Recruiter | January 2018 - April 2018
● Published and promoted new opportunities on various job seeking websites including but not
limited to Indeed, Careerbuilder, and ZipRecruiter
● Received and sourced candidate resumes and applications, and send candidates appropriate skill
assessments when necessary
● Scheduled and conducted candidate phone pre-screens and in-person interviews v
● Utilized Applicant Tracking System (ATS) to build and maintain a detailed and organized
candidate database
● Ensured all onboarding documents (ex. I-9s) are correctly completed and received
● Provided administrative and clerical supports when needed
Human Resources Intern | April 2017- April 2018
● Prepared recruiting documents such as job descriptions
● Posted open positions on all digital job seeking platforms such as Monster, LinkedIn, and more
● Promoted potential opportunities to candidates through methods such as cold calling
● Screened and reviewed resumes, recorded and highlighted all applied and qualified candidates,
and constructed offer and/or decline letters
● Prepared pre-screen and interview questions
● Participated in candidate interviews, and recorded their responses for future discussions
● Created employee documents such as handbooks, training manuals, waivers, and background
check request forms by incorporating current employment laws
● Participated in employee relation discussions and contributed ideas for solutions
● Provided responses to employers’ concerns regarding employee laws and regulations
● Assisted in benchmarking employee wages and compensations
● Managed weekly blogs related to current employment laws
● Completed additional administrative tasks related to human resources and business
development
Director | 2016-2018
● Managed a collegiate dance team of 85+ members
● Successfully increased members count by 200% within two years
● Increased team name awareness through different marketing strategies such as social media,
flyers, and participation in community events
● Communicated with performance organizers, outside vendors, UCI staff members, and external
choreographers regarding performance opportunities, team apparel purchases, facility rentals,
training sessions, and collaboration dance workshops
● Planned yearly and quarterly practice and performance schedules
● Created simple flyers and social media contents using Adobe Photoshop
● Managed overall team finances such as expense control, reimbursements, and ensured all fees
are collected promptly
● Resolved conflicts within the team by contributing logical solutions
● Worked collaboratively with members of board to construct the vision and direction of the team
● Built and maintained interpersonal relationship with members and ensure a positive and
encouraging environment is provided for them to pursue their passion
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| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| Program | m_util | Utility | - | private | Utility object | By invoking this object allows the usage of getting the full name of the month using integer and other method in Utility class |
| Program | m_data | Data | - | private | Data object | This object input and compute the data in csv files, by creating a class and hide the details of data manipulation |
| Program | Program() | Constructor | - | Public | Default Constructor for Program Class | To create and initialize Program object if no specific value is given |
| Program | ~Program() | Destructor | - | Public | Default destructor for Program Class | Destroy the Program object |
| Program | displayMenu() | method | void | public | A method to display the menu for the program | This method output the instruction to the user by putting all the cout function into one function allow the developer to use it easily in a while loop |
| Program | printAverageWindSpeedAndAmbientAirTemperaturePerMonth(int month, int year) | method | void | public | A method to print out the month and the year follow by the average wind speed and ambient temperature for the month and year | To manipulate the data by calling the methods in the Data object and then encapsulate into a function allowing simpler method calling in the while loop |
| Program | printAverageWindSpeedAndAmbientAirTemperaturePerYear(int year) | method | void | public | A method to print out the data of wind speed and ambient air temperature for each month given the year | To manipulate the data by calling the methods in the Data object and then encapsulate into a function allowing simpler method calling in the while loop |
| Program | printTotalSolarRadiationPerYear(int year) | method | void | public | A method to display the menu for the program | To manipulate the data by calling the methods in the Data object and then encapsulate into a function allowing simpler method calling in the while loop |
| Program | execute() | method | void | public | A method which acts a main program | By placing this method in this class, allows easier time to execute the program simply by creating a program object in the main function and invoke the execute method(). The main purpose is to hide the details of executing the program into a method. |
| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| Data | m_infile | ifstream | - | private | input file stream | input file stream to accept file data since this class is created to handle all IO request |
| Data | m_ofile | ofstream | - | private | output file stream | An output file stream to output the data to a file, this member is needed for output data to files from m_windLogTypeVector vector storing WindLogType object |
| Data | m_windLogType | WindLogType | - | private | WindLogType object which contains date, time and solar radiation | This object holds the required data format to store data from csv file |
| Data | m_util | Utility | - | private | Utility class which contains the commonly used methods | This object contains the commonly used methods allowing more flexibility to use without rewriting the logic again |
| Data | m_windLogTypeVector | Vector<WindLogType> | - | private | Vector to contain WindLogType object after the object has been populated from the csv data | This vector is used to store WindLogType object which contains the data from csv file |
| Data | Data() | Constructor | - | public | Constructor for Data class | To create Data object |
| Data | ~Data() | Destructor | - | public | Destructor for Data class | To destroy Data object |
| Data | populateData(string fileName) | method | void | public | A method to populate the m_windLogType vector from csv data | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply enter file name of the csv file to start populating data into the program |
| Data | calculateTotalWindSpeedPerMonth(int month, int year) | method | float | public | A method to calculate the total wind speed given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateTotalAmbientAirTemperaturePerMonth(int month, int year) | method | float | public | A method to calculate the total ambient temperature given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateTotalSolarRadiationPerMonth(int month, int year) | method | float | public | A method to calculate the total solar radiation given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateSumOfWindSpeedRecordPerMonth(int month, int year) | method | int | public | A method to calculate the number of record for wind speed given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateSumOfAmbientAirTemperatureRecordPerMonth(int month, int year) | method | int | public | A method to calculate the number of record for ambient temperature given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateSumOfSolarRadiationRecordPerMonth(int month, int year) | method | int | public | A method to calculate the number of record for solar radiation given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateAverageWindSpeedPerMonth(int month, int year) | method | float | public | A method to calculate the average wind speed given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateAverageAmbientAirTemperaturePerMonth(int month, int year) | method | float | public | A method to calculate the average ambient air temperature given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateAverageSolarRadiationPerMonth(int month, int year) | method | float | public | A method to calculate the average solar radiation given the month and the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateAverageWindSpeedPerYear(int year) | method | float | public | A method to calculate the average wind speed given the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateAverageAmbientAirTemperaturePerYear(int year) | method | float | public | A method to calculate the average ambient air temperature given the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | calculateTotalSolarRadiationPerYear(int year) | method | float | public | A method to calculate the total solar radiation given the year | To simplify the process of using methods by encapsulate all complex details into a method, developer would simply retrieve the value from this method to compute more complex operation |
| Data | outputDataToFile(int year, string fileName) | method | void | public | A method that output the year, wind speed, ambient air temperature and solar radiation given the year using the given filename | To encapsulate complex details for output to a file into a method that can be invoke by specifying only the year and filename. This allows ease of usage in the Program class execute method. Outside of this scope, developers could reuse this method for other usage. |
| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| Date | m_day | int | - | private | integer variable to hold data for day in the date data | To hold the numeric data for day in the date |
| Date | m_month | int | - | private | integer variable to hold data for month in the date data | To hold the numeric data for month in the date |
| Date | m_year | int | - | private | integer variable to hold data for year in the date data | To hold the numeric data for year in the date |
| Date | Date() | Constructor | - | Public | Default Constructor for Data Class | To create Date object |
| Date | ~Date() | Destructor | - | Public | Default destructor for Date Class | Destroy the Program object |
| Date | GetDay() | method | int | public | A method to get the numeric digit for day of the date | This method was designed as a public method to access the internal variable for Date class |
| Date | GetMonth() | method | int | public | A method to get the numeric digit for month of the date | This method was designed as a public method to access the internal variable for Date class |
| Date | GetYear() | method | int | public | A method to get the numeric digit for year of the date | This method was designed as a public method to access the internal variable for Date class |
| Date | SetDay(int newDay) | method | void | public | A method to set the numeric digit for day of the date | This method was designed as a public method to change the value of the internal variable for Date class |
| Date | SetMonth(int newMonth) | method | void | public | A method to set the numeric digit for month of the date | This method was designed as a public method to change the value of the internal variable for Date class |
| Date | SetYear(int newYear) | method | void | public | A method to set the numeric digit for year of the date | This method was designed as a public method to change the value of the internal variable for Date class |
| Date | SetYear(int newYear) | method | void | public | A method to set the numeric digit for year of the date | This method was designed as a public method to change the value of the internal variable for Date class |
| Date | Operator >> | Overloaded Operator | istream | Overloaded operator >> for Date Class | Overloaded the >> operator to insert data into the date class |
| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| Time | m_hours | int | - | private | A member in Time class holding the numeric data of hour | This member is designed to hold the numeric data of hour from the time data in the csv |
| Time | m_minutes | int | - | private | A member in Time class holding the numeric data of minutes | This member is designed to hold the numeric data of minutes from the time data in the csv |
| Time | Time() | Constructor | - | Public | Default Constructor for Time Class | To create Time object |
| Time | Time(int hours, int minutes) | Constructor | - | Public | Destructor for Time Class | To allow members in the Time class to be initialize through this constructor |
| Time | ~Time() | method | - | public | Default destructor for Time class | Destroy Time object |
| Time | GetHours() | method | int | public | A method to access the internal member for m_hour in Time class | |
| Time | GetMinutes() | method | int | public | A method to access the internal member for m_minutes in Time class | |
| Time | SetMinutes(int minutes) | method | void | public | A method to change the value of the internal member for m_minutes in Time class | |
| Time | SetHours(int hours) | method | void | public | A method to change the value of the internal member for m_hours in Time class | |
| Time | Operator >> | Overloaded operator | istream | Overloaded operator in Time class | To cater alternative method to input data into Time class |
| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| Utility | Utility() | Constructor | - | public | Default constructor for Utility class | To create an Utility object |
| Utility | ~Utility() | Destructor | - | public | A destructor for Utility class | To destroy the Utility object |
| Utility | GetDataFromARow(string data, string delimiter, string::size_type position) | method | string | public | Given the data which contains the whole row of data from csv file, user of this function need to specify the delimiter and the position of the data delimited in the csv | To create a standard way to obtain data from csv |
| Utility | GetMonthInString(int month) | method | string | public | to get the string value of the month using the numeric of the month as an input | To create a method which can be reused and without creating redundant code |
| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| Vector | m_list | T* | - | private | A member in Vector class holding the array using pointer | This member is designed to hold the array using pointer which acts like a dynamic array |
| Vector | m_start | T* | - | private | A member in Vector class holding the starting position in the array using pointer | This member is designed to hold the starting position in the array using pointer |
| Vector | m_end | T* | - | private | A member in Vector class holding the ending position in the array using pointer | This member is designed to hold the ending position in the array using pointer |
| Vector | m_count | int | - | private | A member in Vector class holding total number of element in the array | This member is designed to hold total number of element in the array |
| Vector | m_capacity | int | - | private | A member in Vector class holding maximum number of element in the dynamic array | This member is designed to hold maximum number of element in the dynamic array |
| Vector | Vector() | Constructor | - | Public | Default Constructor for Vector Class | To create Vector object |
| Vector | ~Vector() | Destructor | - | Public | Destructor for Time Class | To destroy the Vector object |
| Vector | at(int position) | method | T& | public | A method which return the data at the specified position in the array | To have a method to return the reference of the m_list pointer at the specified position so that developer can retrieve the data within the Vector |
| Vector | push_back(const T& elem) | method | void | public | A method to insert a generic datatype data into the Vector | To have a method to insert a generic datatype data into the vector |
| Vector | getCount() | method | int | public | A method to get the number of element exist in Vector object | To have a method to find the number of existing element in the vector and this member can be used to check whether the vector needs to be resize |
| Vector | getCapacity() | method | int | public | A method to get the maximum number of element in Vector object | To have a method to obtain the maximum number of element in Vector object which can be used to determine whether this vector needs to be rezize |
| Vector | isFull() | method | bool | public | A method to check whether this Vector object is full | To create a way to verify whether this Vector object is full to prevent error when inserting data into Vector |
| Vector | resize(int newSize) | method | void | public | Resize the Vector according to the specified size | To cater for changes to limit of the Vector size allowing this Vector class to act like a dynamic array which can change its size according to its needs |
| Vector | create(int size) | method | void | public | Create the Vector using the specified size | To create a Vector based on the given size for constructor |
| Vector | clear() | method | void | public | Clear all pointer and initialize the counter for number of existing element and maximum number of element in the Vector to 0 | To use this method for destructor |
| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| Weather | m_wind_speed | float | - | private | A member in Weather class holding the value of wind speed | This member is designed to hold the value of wind speed in the Weather class |
| Weather | m_solar_radiation | float | - | private | A member in Weather class holding the value of solar radiation | This member is designed to hold the value of solar radiation |
| Weather | m_temperature | float | - | private | A member in Weather class holding the value of air ambient temperature | This member is designed to hold the value of air ambient temperature in the Weather class |
| Weather | Weather() | Constructor | - | public | Default constructor in Weather class | To create Weather object |
| Weather | ~Weather() | Destructor | - | public | Destructor for Weather class | To destroy the Weather object |
| Weather | SetWindSpeed(float newWindSpeed) | method | void | public | To set m_wind_speed in Weather class | |
| Weather | GetWindSpeed() | method | float | public | To get m_wind_speed in Weather class | |
| Weather | SetSolarRadiation(float newSolarRadiation) | method | void | public | To set m_solar_radiation in Weather class | |
| Weather | GetSolarRadiation() | method | float | public | To get m_solar_radiation in Weather class | |
| Weather | SetTemperature(float newTemperature) | method | void | public | To set m_temperature in Weather class | |
| Weather | GetTemperature() | method | float | public | To get m_temperature in Weather class | |
| Weather | Operator >> | Overloaded operator | istream | Overloaded operator to modify how ifstream can access this operator | Using this overloaded operator to insert data into this class |
| Class | Method Name | Type | Return Type | Protection | Description | Rationale |
|---|---|---|---|---|---|---|
| WindLogType | m_date | Date | - | private | A member in WindLogType class holding the object of Date class | To hold data related to Date from csv file |
| WindLogType | m_time | Time | - | private | A member in WindLogType class holding the object of Time class | To hold data related to Time from csv file |
| WindLogType | m_weather | Weather | - | private | A member in WindLogType class holding the object of Weather class | To hold data related to Weather from csv file |
| WindLogType | WindLogType() | Constructor | - | public | Default constructor in WindLogType class | To create WindLogType object |
| WindLogType | ~WindLogType() | Destructor | - | public | Destructor for WindLogType class | To destroy the WindLogType object |
| WindLogType | SetDate(Date newDate) | method | void | public | Mutator for m_date | |
| WindLogType | GetDate() | method | Date | public | Accessor for m_date | |
| WindLogType | SetTime(Time newTime) | method | void | public | Mutator for m_time | |
| WindLogType | GetTime() | method | Time | public | Accessor for m_time | |
| WindLogType | SetWeather(Weather newWeather) | method | void | public | Mutator for m_weather | |
| WindLogType | GetWeather() | method | Weather | public | Accessor for m_weather | |
| WindLogType | Operator >> | Overloaded operator | istream | Overloaded operator to insert the data into WindLogType | Since the Date, Time and Weather class have overloaded operator, this operator is used to transfer data through ifstream into WindLogType's member |


MQTT settings can be used to change the MQTT broker used by the rule engine and interface.
(Note the rule-engine requires a restart before mqtt changes are implemented.)
Logging setting change amount logged to the rule engines terminal and to file
The system will log the chosen severity and above.
Changes can take up to a minute to take effect.
Turning on history will give you the ability to look back when field states are changing or rules are firing.
Note storing history will reduce performance slightly however in most cases this is unnoticeable.


Hi, I'm Slavik Migovich! This is my web programming portfolio website where I will share my favorite projects.
Back in 90's I was born somewhere in Ukraine and in mid 2000's when i was 11 years old, my family moved to Portland, OR. In Portland I finished school, went to college and started working as a sales representative for a tech company. Currently I am a logistics manager at a trucking company and a web development student at Epicodus. When I'm now working or studying I like to spend time with my friends and family, go hiking, play tennis, and do a lot more cool stuff.


File: intera_core_msgs/IODeviceStatus.msg
Raw Message Definition
## IO Device status
time time # time the message was created
IOComponentStatus device # device status data
IODataStatus[] ports # Ports status
IODataStatus[] signals # Signals status
time[] commands # recent command timestamps, for syncing
string[] responses # recent command responses
Compact Message Definition


| Legend | |||
|---|---|---|---|
| IF1: Count | IF7: Discounted Potential | IF13: Rejection Potential Count | |
| IF2: Spread | IF8: Discounted Range | IF14: Rejection Potential Rate | |
| IF3 :Weight | IF9: Maximum Potential | IF15: Rejection Count | |
| IF4: Discounted Weight | IF10: Maximum Range | IF16: Rejection Rate | |
| IF5: Potential | IF11: Variation | IF17: Reject Count | |
| IF6: Range | IF12: Maximum Variation | IF18: Reject Rate |


api/publish.js
import 'colors';
import debug from 'debug';
import fs from 'fs-extra';
import path from 'path';
import asyncOra from '../util/ora-handler';
import deprecate from '../util/deprecate';
import getForgeConfig from '../util/forge-config';
import readPackageJSON from '../util/read-package-json';
import requireSearch from '../util/require-search';
import resolveDir from '../util/resolve-dir';
import PublishState from '../util/publish-state';
import make from './make';
const d = debug('electron-forge:publish');
/**
* @typedef {Object} PublishOptions
* @property {string} [dir=process.cwd()] The path to the app to be published
* @property {boolean} [interactive=false] Whether to use sensible defaults or prompt the user visually
* @property {string} [authToken] An authentication token to use when publishing
* @property {string} [tag=packageJSON.version] The string to tag this release with
* @property {string} [target=github] The publish target
* @property {MakeOptions} [makeOptions] Options object to passed through to make()
* @property {string} [outDir=`${dir}/out`] The path to the directory containing generated distributables
* @property {boolean} [dryRun=false] Whether or not to generate dry run meta data and not actually publish
* @property {boolean} [dryRunResume=false] Whether or not to attempt to resume a previously saved dryRun and publish
* @property {Object} [makeResults=null] Provide results from make so that the publish step doesn't run make itself
*/
/**
* Publish an Electron application into the given target service.
*
* @param {PublishOptions} providedOptions - Options for the Publish method
* @return {Promise} Will resolve when the publish process is complete
*/
const publish = async (providedOptions = {}) => {
// eslint-disable-next-line prefer-const, no-unused-vars
let { dir, interactive, authToken, tag, target, makeOptions, dryRun, dryRunResume, makeResults } = Object.assign({
dir: process.cwd(),
interactive: false,
tag: null,
makeOptions: {},
target: null,
dryRun: false,
dryRunResume: false,
makeResults: null,
}, providedOptions);
asyncOra.interactive = interactive;
// FIXME(MarshallOfSound): Change the method param to publishTargets in the next major bump
let publishTargets = target;
const outDir = providedOptions.outDir || path.resolve(dir, 'out');
const dryRunDir = path.resolve(outDir, 'publish-dry-run');
if (dryRun && dryRunResume) {
throw 'Can\'t dry run and resume a dry run at the same time';
}
if (dryRunResume && makeResults) {
throw 'Can\'t resume a dry run and use the provided makeResults at the same time';
}
let packageJSON = await readPackageJSON(dir);
const forgeConfig = await getForgeConfig(dir);
if (dryRunResume) {
d('attempting to resume from dry run');
const publishes = await PublishState.loadFromDirectory(dryRunDir);
for (const publishStates of publishes) {
d('publishing for given state set');
await publish({
dir,
interactive,
authToken,
tag,
target,
makeOptions,
dryRun: false,
dryRunResume: false,
makeResults: publishStates.map(({ state }) => state),
});
}
return;
} else if (!makeResults) {
d('triggering make');
makeResults = await make(Object.assign({
dir,
interactive,
}, makeOptions));
} else {
// Restore values from dry run
d('restoring publish settings from dry run');
for (const makeResult of makeResults) {
packageJSON = makeResult.packageJSON;
makeOptions.platform = makeResult.platform;
makeOptions.arch = makeResult.arch;
for (const makePath of makeResult.artifacts) {
if (!await fs.exists(makePath)) {
throw `Attempted to resume a dry run but an artifact (${makePath}) could not be found`;
}
}
}
}
if (dryRun) {
d('saving results of make in dry run state', makeResults);
await fs.remove(dryRunDir);
await PublishState.saveToDirectory(dryRunDir, makeResults);
return;
}
dir = await resolveDir(dir);
if (!dir) {
throw 'Failed to locate publishable Electron application';
}
const artifacts = makeResults.reduce((accum, makeResult) => {
accum.push(...makeResult.artifacts);
return accum;
}, []);
if (publishTargets === null) {
publishTargets = forgeConfig.publish_targets[makeOptions.platform || process.platform];
} else if (typeof publishTargets === 'string') {
// FIXME(MarshallOfSound): Remove this fallback string typeof check in the next major bump
deprecate('publish target as a string').replaceWith('an array of publish targets');
publishTargets = [publishTargets];
}
for (const publishTarget of publishTargets) {
let publisher;
await asyncOra(`Resolving publish target: ${`${publishTarget}`.cyan}`, async () => { // eslint-disable-line no-loop-func
publisher = requireSearch(__dirname, [
`../publishers/${publishTarget}.js`,
`electron-forge-publisher-${publishTarget}`,
publishTarget,
path.resolve(dir, publishTarget),
path.resolve(dir, 'node_modules', publishTarget),
]);
if (!publisher) {
throw `Could not find a publish target with the name: ${publishTarget}`;
}
});
await publisher(artifacts, packageJSON, forgeConfig, authToken, tag, makeOptions.platform || process.platform, makeOptions.arch || process.arch);
}
};
export default publish;


Race World Offshore Key West Championships begin Wednesday
KEY WEST, Fla. (AP) - Offshore powerboat racers Billy Mauff and Jay Muller have piloted WHM Motorsports to lead the Super Cat-class after the first of three competition days at the Race World Offshore Key West Championships in the Florida Keys.
Mauff, of East Setauket, New York, and Muller, of Lake Hopatcong, New Jersey, easily placed first, leading at Wednesday’s start and never looking back.
CR Racing, with Robert Unnerstall of Wentzville, Missouri, and Casey Boaz of Osage Beach, Missouri, leads the Super Stock class.
A dramatic two-boat accident occurred on the fifth lap of the Super Stock race. LPC and Team Allen Lawn Care landed upside-down between Turns 2 and 3.
Officials say several crew members were transported to a local hospital with non-life-threatening injuries.
Racing is to continue Friday with finals on Sunday.
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Click a cell for details.
Original JavaScript version by Marek Gibney.
Shaun Gilchrist and Nova Spivack have discovered an interesting way to look at prime numbers here.
I was inspired to use circles vs squares, and have them stack nicely. Also, have the variables more isolated to test. Also, it counts how many primes are within a pack, and assigns the color proportionately. This is still a work in progress.


plexus
Businessmodel of Plexus
Customer Segments
Plexus provides design and production services and solutions to more than 140 customers worldwide, ranging from large multinationals to smaller technology companies. It divides its customers by sector into the following categories:
- Networking and Communications, which accounted for around 32% of the Company’s business in 2015;
- Healthcare and Life Sciences, which accounted for around 28% of the Company’s business in 2015;
- Industrial and Commercial, which accounted for around 26% of the Company’s business in 2015;
- Defense, Security and Aerospace, which accounted for around 14% of the Company’s business in 2015; Among the Company’s largest customers are Arris Group, General Electric and Juniper Networks, all of which have accounted for upwards of 10% of the Company’s annual revenue in at least one of the past three years.
The Americas is the Company’s largest market, followed closely by Asia Pacific. A smaller portion of the Company’s revenue is generated from customers across Europe, Middle East and Africa.
Value Propositions
Plexus provides value to its customers in the following ways:
- The quality and reliability of its products, which attract repeat business from a range of high-profile companies;
- Its industry expertise, including specialist design and manufacturing personnel;
- Its broad geographic reach, with operations across the Americas, Asia Pacific, and Europe, Middle East and Africa; and
- Its established brand name, the Company being one of the largest and oldest companies operating in its sector. ### Channels
Plexus operates a website at www.plexus.com, which provides details on the Company’s various products, services and solutions. It does not, however, operate an online sales channel.
The majority of Plexus’s sales are made directly through the Company’s in-house sales team. Its regional sales and marketing teams – including sales offices across the Americas, Europe, Asia, the Middle East and Africa – focus on targeting new customers and expanding business with existing customers.
Customer Relationships
Plexus operates a website that details all of its various products and services; the Company, however, does not make any of its products and services available to customers on a self-service basis.
Instead, sales are made by members of the Company’s regionally-segregated sales teams, with sales personnel consulting with customers over a period of time to ensure that all of their individual needs are met. The Company aims to establish long-term relationships with its customers, with the Company providing services under multi-year contracts as well as on a single project basis.
Plexus details all of its upcoming events on its website, affording customers the opportunity to interact with the Company’s representatives in person. It also hosts a news portal on its website, including press releases, articles and newsletters that keep customers updated with the Plexus’s latest developments. Customers are also able to interact with the Company through its social media accounts with Facebook and LinkedIn.
Key Activities
Plexus and its subsidiaries provide services and solutions related to the electronic manufacturing services industry, delivering end-to-end solutions for customers across the Americas, Europe, Middle East and Africa, and Asia-Pacific regions.
These regions double as the Company’s three reportable business segments. Plexus’s core activities relate to the provision of electronics design, manufacturing and aftermarket services to companies with mid-to-low volume, higher complexity products, with its solutions including conceptualization, design, commercialisation, manufacture, and fulfilment services.
The Company provides services to more than 140 branded product companies operating across the networking and communications, healthcare and life sciences, industrial and commercial, and defense, security and aerospace sectors. Plexus additionally provides a range of aftermarket services, including repair, refurbishment and technical support for the products it manufactures.
Key Partners
Plexus collaborates with a range of partners throughout the development and provision of its solutions and services. This includes partnerships with:
- Supplier Partners, with the Company depending on a range of suppliers to obtain the requisite resources for its manufacturing processes;
- Manufacturing Partners, which assist the Company in its production processes; and
- Joint Venture Partners, comprising a range of companies and institutions that collaborate with the Company on various one-off projects. Plexus has recently launched partnerships with Idaho Power with a view to reducing energy consumption, with University of Wisconsin Oshkosh to provide on-board human resources training to students, and with Microsaic Systems to manufacture a range of chip-based scientific instruments.
Key Resources
Plexus’s key resources are its technology and solutions, its IT infrastructure, its sales and marketing networks. Its manufacturing and logistics facilities, its partnerships, and its personnel.
The Company owns various service marks, which are registered in the trademark offices of the US and other countries, and owns a small number of patents; the Company, however, does not consider these patents to material to its ongoing business success.
Cost Structure
Plexus incurs costs in relation to the development of its solutions and technology, the maintenance of its IT infrastructure, the management and implementation of its sales and operating networks, the operation of its manufacturing and production facilities, the management of its partnerships and the retention of its personnel.
Plexus recorded selling and general administrative costs in 2015 of $122.4 million, including the payment of salaries and benefits to its workforce of more than 14,000 full time employees and the payment of rent and utility fees across its network of offices and facilities.
Revenue Streams
Plexus generates revenue through the sale of electronic design and manufacturing services. Its revenue is generated through the following service lines:
- Conceptualise, comprising revenue generated by the Company’s concept and early architecture development services;
- Design, comprising revenue generated from the Company’s specialist design services
- Commercialise, comprising revenue generated by the Company’s downstream product realisation services, which are designed to bring products to market;
- Manufacture, comprising revenue generated by the Company’s optimised production services;
- Fulfill, comprising revenue generated through the Company’s scalable global fulfilment operations, including the integration of logistics, supply chain and IT services; and
- Sustain, comprising revenue generated by the Company’s aftermarket services that are designed to sustain its client’s product throughout their lifecycles. In 2015 Plexus generated $2.65 billion in annual revenue, up slightly on the $2.38 billion the Company recorded in 2014. The Americas and Asia Pacific accounted for $1.39 billion and $1.29 billion respectively, with sales across Europe, Middle East and Africa accounting for $140.3 million.


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Filters Module ReferenceEfficient routines for filtering images with common filters. More... #include <filters.h> Routines
Detailed DescriptionMany common filters such as applying a Gaussian or min/max filter can be performed very efficiently when one considers applying the filter to an entire array, as opposed to individual pixel locations (see the Convolver class). This module contains efficient routines for computing common preprocessing filters on an entire array. Please note carefully that the routines work directly on the array in question performing their operations in-place, and perforce saving intermediate results in the type and precision of the array. This implies that for integer type arrays that involve intermediate steps, say performing separable convolution along each dimension, that rounding occurs at each stage and this can accumulate leading to somewhat perturbed over those values that might normally be expected. For example, an average operation on an n-dimensional, integer array could be off by as much as n in the worst case. If this behavior is undesirable then you should either convert the image to a floating-point type before operating upon it, or if space is at a premium, then you can use a less efficient Convolver to perform the operations. Average_Array replaces each pixel with the average of the pixels in a window of a specified radius about the pixel in total time O(vn) where v is the size of the array and n is its dimensionality. Sum_Array replaces each pixel with the sum of the pixels in a window of a specified radius about the pixel in total time O(vn) where v is the size of the array and n is its dimensionality. Variance_Array replaces each pixel with the variance of the pixels in a window of a specified radius about the pixel in total time O(vn) and requires a single copy of the array temporarily during its operation. Min_Array and Max_Array replace each pixel with the min/max of the pixels in a window of a specified radius about the pixel in total time O(vn). One should note that the operators are equivalent to the dilate and erode morphological operators on grey-scale images. LOG_Array and ALOG_Array apply a Laplacian of Gaussian (LOG) filter to pixels where a single standard deviation and support are applied in every dimension by LOG_Array and inidividual standard deviations and supports are supplied to ALOG_Array. The filtration takes place in O(vn2r) time where r is the radius or support of the filter, and requires 2 extra copies of the array during its operation. (See also LOG_Filter and ALOG_Filter). DOG_Array and ADOG_Array apply a difference of Gaussian (DOG) filter to pixels where a single standard deviation and support are applied in every dimension by DOG_Array and inidividual standard deviations and supports are supplied to ADOG_Array. The filtration takes place in O(vnr) time where r is the radius or support of the filter, and requies an extra copy of the array during its operation. (See also DOG_Filter and ADOG_Filter). DOB_Array and ADOB_Array apply a difference of boxes (DOB) filter to pixels where a single pair of radii are applied in every dimension by DOB_Array and inidividual radii pairs are supplied to ADOB_Array. The filtration takes place in O(vn) time. (See also DOB_Filter and ADOB_Filter). Median_Array replaces each pixel with the median value of the pixels in a window of a specified radius about the pixel in total time O(vr n). More generally, one can request the kth largest element with Order_Array. For separable filters, such as a Gaussian, the routine Filter_Array applies a given 1-dimensional filter to each dimension in turn, and Filter_Array_List applies a distinct 1-dimensional filter to each dimension in turn. Even greater granularity is possible with Filter_Dimension that applies a given 1-dimensional filter along a particular dimension of an array. For example: Array *AGaussian_Array(Array *image, double *sigma, int *radii) { int i; for (i = 0; i < n; i++) Filter_Array_Dimension(image,Gaussian_Filter(sigma[i],radii[i]),i); return (image); } One can also apply an average filter, a square filter, or a min/max filter in just a given dimension with the routines Average_Dimension, Sum_Dimension, Square_Dimension, Min_Dimension, and Max_Dimension. Routine Documentation
Applies the 1-dimensional filter filter to every pixel in array image along dimension dim. The filtration occurs in-place, i.e. every pixel is replace with the convolution of the filter with the array, where the filter's mid pixel is centered on the pixel in question. The complexity is O(vr) where v is the size of image and r is the size of filter.
Applies a 1-dimensional average filter of radius radius to every pixel of the array image along the dimension dim. The complexity is O(v) where v is the size of image.
Applies a 1-dimensional sum filter of radius radius to every pixel of the array image along the dimension dim. The complexity is O(v) where v is the size of image.
Applies a 1-dimensional square filter of radius radius to every pixel of the array image along the dimension dim. A square filter produces the average of the sum of the squares of the values within the window of the filter, that is, S = Σi xi2 / n where n = 2*radius+1. This operation is useful for computing a variance filter as the variance over the same window is Σi (xi - σ)2 / n = S - σ2 where σ is the mean obtained with an average filter. The complexity is O(v) where v is the size of image.
Applies a 1-dimensional min filter of radius radius to every pixel of the array image along the dimension dim. The complexity is O(v) where v is the size of image.
Applies a 1-dimensional max filter of radius radius to every pixel of the array image along the dimension dim. The complexity is O(v) where v is the size of image.
Applies the 1-dimensional filter filter to every pixel of the array image along every dimension. That is the result is the same as applying the n-dimensional filter Filter_Power(filter,image->ndims) to every pixel. The complexity is O(vrn) where v is the size of image, r is the size of filter, and n is the dimensionality of image.
For dimensions i from 0 to image->ndims-1 in that order, apply the 1-dimensional filter filter[i] to image along dimension i. The complexity is O(vrn) where v is the size of image, r is the average size of the filters, and n is the dimensionality of image.
Apply an average filter of radius radius to image image. The complexity is O(vn) where v is the size of image and n is the dimensionality of image.
Apply a sum filter of radius radius to image image. The complexity is O(vn) where v is the size of image and n is the dimensionality of image.
Apply a variance filter of radius radius to image image. The complexity is O(vn) where v is the size of image and n is the dimensionality of image. One spare working copy of the image is required during the operation.
Apply a min filter of radius radius to image image. This is also a generalization of the morphological erosion operator for grey-scale images. The complexity is O(vn) where v is the size of image and n is the dimensionality of image.
Apply a max filter of radius radius to image image. This is also a generalization of the morphological dilation operator for grey-scale images. The complexity is O(vn) where v is the size of image and n is the dimensionality of image.
Apply a Laplacian of Gaussian (LOG) filter to image image where the filter has standard deviation sigma and support radius radius in every dimension. See LOG_Filter for a formal definition of the filter. The complexity is O(vn2r) where v is the size of image, n is the dimensionality of image, and r is the radius of the support. Two spare working copies of the image are required during the operaion.
Apply a difference of Gaussians (DOG) filter to image image where a Gaussian with standard deviation sigma2 is subtracted from a Gaussian with standard deviation sigma1 over a support of radius radius in every dimension. See DOG_Filter for more on how this filter is an efficient approximation of the LOG filter. The complexity is O(vnr) where v is the size of image, n is the dimensionality of image, and r is the radius of the support. One spare working copy of the image is required during the operation.
Apply a difference of boxes (DOB) filter to image image where a box filter with radius deviation radius2 is subtracted from a box filter with radius radius1 in every dimension. The support of the filter in each dimension is the greater of radius1 and radius2. The complexity is O(vn) where v is the size of image, and n is the dimensionality of image.
Apply a Laplacian of Gaussian filter to image image where the filter has standard deviation sigma[i] and support radius radius[i] in dimension i. See ALOG_Filter for a formal definition of the filter. The complexity is O(vn2r) where v is the size of image, n is the dimensionality of image, and r is the average radius of the supports.
Apply a difference of Gaussians (DOG) filter to image image where a Gaussian with standard deviation sigma2[i] is subtracted from a Gaussian with standard deviation sigma1[i] over a support of radius radius[i] in dimension i. See ADOG_Filter for more on how this filter is an efficient approximation of the LOG filter. The complexity is O(vnr) where v is the size of image, n is the dimensionality of image, and r is the radius of the support. One spare working copy of the image is required during the operation.
Apply a difference of boxes (DOB) filter to image image where a box filter with radius deviation radius2[i] is subtracted from a box filter with radius radius1[i] in every dimension. The support of the filter in each dimension is the greater of radius1[i] and radius2[i]. The complexity is O(vn) where v is the size of image, and n is the dimensionality of image.
Apply a median filter to image image over a window of radius radius in every dimension. The time complexity is O(vr n) where v is the size of image, n is the dimensionality of image, and r is the radius of the support.
Replace each pixel of image with the rankth largest element in a window of radius in every dimension. The complexity is O(vr n) where v is the size of image, n is the dimensionality of image, and r is the radius of the support. |


{{ template "templates/header.html" . }}
| Type | URL |
|---|---|
| reCAPTCHA version 2 | /v2 |
| Invisible reCAPTCHA | /inivisible |
The test only show the recaptha json response no mater what username or password is used.
The logic of validating the proper user should take place only after the recaptha.success == true
{ "success": true|false, "challenge_ts": timestamp, // timestamp of the challenge load (ISO format yyyy-MM-dd'T'HH:mm:ssZZ) "hostname": string, // the hostname of the site where the reCAPTCHA was solved "error-codes": [...] // optional }More information about how reCaptha works can be found here: https://developers.google.com/recaptcha/docs/verify {{ template "templates/footer.html" . }}


Watermelon is a delicious and refreshing fruit that's also good for you. It is high in vitamin C, vitamin A and many healthy plant compounds, but contains only 60 calories per smoothie. And because watermelon has a high water content, this smoothie is hydrating and helps you feel full.
Apples are an awesome source of fibre and vitamin C. They also contain polyphenols, which can have numerous health benefits. Apples have been linked to a lower risk of heart disease because they contain soluble fibre that can help lower blood cholesterol. Studies have also shown that eating apples reduces the risk of type 2 diabetes.
One of our top sellers. Blueberries are so tasty that many people consider them their favourite fruit. In fact, because they are low in calories and incredibly good for you. Blueberries are often labeled a superfood. Blueberries have the highest antioxidant capacity of all the popular fruits and vegetables.
Add zest to your day with our delicious Lemon Luxury smoothie. As a citrus fruit, lemons are high in vitamin C, which is a primary antioxidant that helps reduce your risk of cardiovascular disease and lowers blood pressure. Refreshing and energising - that's our Lemony Luxury smoothie!


The Apache Flink community answers many user questions every day. You can search for answers and advice in the archives or reach out to the community for help and guidance.
Many Flink users, contributors, and committers are subscribed to Flink’s user mailing list. The user mailing list is a very good place to ask for help.
Before posting to the mailing list, you can search the mailing list archives for email threads that discuss issues related to yours on the following websites.
If you’d like to post to the mailing list, you need to
<EMAIL_ADDRESS><EMAIL_ADDRESS>.Please note that you won’t receive a respose to your mail if you are not subscribed.
Many members of the Flink community are active on Stack Overflow. You can search for questions and answers or post your questions using the [apache-flink] tag.
If you observe an unexpected behavior that might be caused by a bug, you can search for reported bugs or file a bug report in Flink’s JIRA.
If you are unsure whether the unexpected behavior happend due to a bug or not, please post a question to the user mailing list.
Identifying the cause for an error message can be challenging. In the following, we list the most common error messages and explain how to handle them.
Flink uses Java serialization to distribute copies of the application logic (the functions and operations you implement, as well as the program configuration, etc.) to the parallel worker processes. Because of that, all functions that you pass to the API must be serializable, as defined by java.io.Serializable.
If your function is an anonymous inner class, consider the following:
Is your function is already a static class, check the fields that you assign when you create an instance of the class. One of the fields most likely holds a non-serializable type.
RichFunction
and initialize the problematic fields in the open()
method.RichFunction
in Scala.This error means that the implicit value for the type information could not be provided.
Make sure that you have an import org.apache.flink.streaming.api.scala._
(DataStream API) or an
import org.apache.flink.api.scala._
(DataSet API) statement in your code.
If you are using Flink operations inside functions or classes that take generic parameters, then a TypeInformation must be available for that parameter. This can be achieved by using a context bound:
def myFunction[T: TypeInformation](input: DataSet[T]): DataSet[Seq[T]] = {
input.reduceGroup( i => i.toSeq )
}
See Type Extraction and Serialization for an in-depth discussion of how Flink handles types.
When you see an exception in the style com.foo.X
cannot be cast to com.foo.X
(or cannot be assigned to com.foo.X
), it means that
multiple versions of the class com.foo.X
have been loaded by different class loaders, and types of that class are attempted to be assigned to each other.
The reason for that can be:
Class duplication through child-first
classloading. That is an intended mechanism to allow users to use different versions of the same
dependencies that Flink uses. However, if different copies of these classes move between Flink’s core and the user application code, such an exception
can occur. To verify that this is the reason, try setting classloader.resolve-order: parent-first
in the configuration.
If that makes the error disappear, please write to the mailing list to check if that may be a bug.
Caching of classes from different execution attempts, for example by utilities like Guava’s Interners, or Avro’s Schema cache. Try to not use interners, or reduce the scope of the interner/cache to make sure a new cache is created whenever a new task execution is started.
Such errors typically indicate a mix-up in some dependency version. That means a different version of a dependency (a library) is loaded during the execution compared to the version that code was compiled against.
From Flink 1.4.0 on, dependencies in your application JAR file may have different versions compared to dependencies used
by Flink’s core, or other dependencies in the classpath (for example from Hadoop). That requires child-first
classloading
to be activated, which is the default.
If you see these problems in Flink 1.4+, one of the following may be true:
child-first
classloading. Currently these are the
Scala standard library classes, as well as Flink’s own classes, logging APIs, and any Hadoop core classes.If your DataStream application uses Event Time, check that your watermarks get updated. If no watermarks are produced, event time windows might never trigger, and the application would produce no results.
You can check in Flink’s web UI (watermarks section) whether watermarks are making progress.
If you run Flink with a very high parallelism, you may need to increase the number of network buffers.
By default, Flink takes 10% of the JVM heap size for network buffers, with a minimum of 64MB and a maximum of 1GB.
You can adjust all these values via taskmanager.network.memory.fraction
, taskmanager.network.memory.min
, and
taskmanager.network.memory.max
.
Please refer to the Configuration Reference for details.
The most common cause for that is that the Hadoop version in Flink’s classpath is different than the Hadoop version of the cluster you want to connect to (HDFS / YARN).
The easiest way to fix that is to pick a Hadoop-free Flink version and simply export the Hadoop path and classpath from the cluster.


Professor of GIS
Cayuga Community College
197 Franklin Street, Auburn, NY 13210
Live:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Office: M274 Main Building
There is no single textbook for this class. Required reading materials will be given in the class or be placed on reserve at the library
This course is an introduction to spatial modeling using raster GIS. Basic theories and concepts of spatial modeling will be discussed and students will learn how to use various modeling techniques available in a raster GIS for solving complex environmental and management problems.
At the conclusion of this course, students will:
Each lab assignment will be considered as an exercise and is due following week. Late submission will not be accepted! Please see me if you have an emergency. Laboratory exercises will contribute substantially to your course grade. Students may be asked to repeat work that is not satisfactory.
| Component | Weight |
|---|---|
| Exams | 50% |
| Lab exercises | 50% |
*** The above grading is subject to change at the instructor's discretion ***
| Week | Topic |
|---|---|
| Week 1 | Introduction to spatial modeling and raster GIS
Lab: Introduction to IDRISI |
| Week 2 | Data structure and automation
Lab: Creating digital data layers |
| Week 3 | Raster Data and File Types, Sources of GIS Data
Lab: Input and Viewing Cartographic Data |
| Week 4 | Data Types, Encoding techniques, and Entry Methods
Lab: Analysis and manipulation of spatial data |
| Week 5 | Logical Operations and Map Overlay
Lab: Reclass and Overlay |
| Week 6 | DEM and Surface Analysis
Lab: Generating Slope, Aspect, and new data layers from existing digital data |
| Week 7 | Midterm:
Written Part (closed book) and Computer Part(open book) |
| Week 8 | Modeling with overlay
Lab: Selecting suitable sites |
| Week 9 | Spatial query
Lab: Reclassification and grouping |
| Week 10 | Viewshed and Watershed Analysis
Lab: Multicriteria decision making in a GIS |
| Week 11 | Siting problems and Proximity analysis
Lab: Selecting suitable sites for Landfill |
| Week 12 | SPRING BREAK |
| Week 13 | Satellite Image and GIS Data
Lab: Feature detection |
| Week 14 | Change Detection
Lab: Detection and monitoring urban growth and development |
| Week 15 | Map making process and presentation
Lab: Map composition |
| Week 16 | Review and mock exam |
| Week 17 | FINAL EXAM |


Environmental Harm
obsolete imported cars with high CO2 emissions
Urban Transport
longer commuting, inconvenience
Bureaucracy
number of required documents, mandatory pledge and office visits
Maintenance
time consuming and money spending on ad hoc staff
Solution
Free-floating car sharing: a short-term car rental. Where a user registers through Mobile App or Website by providing scans of Passport, Driving License and Credit Card.
environmentally friendly cars
alternative for an active lifestyle pursuer
easy to rent, no need to visit the office
24/7 availability
zero maintenance cost
How it works?
Market
Market opportunity
100K Taxi orders daily, which is in absolute values comparable with St. Petersburg, while the population of Yerevan is 5 times lower.
at least 10% of population becomes permanent user
up to 40% of population will try a service
one car-sharing vehicle replaces 15-20 private cars


Angular Trustpass By Trustroots.org
This is a simple password strength meter & validator inspired by MailChimp's signup form.
Read more from GitHub.
Simple example
Model: {{ passwordSimple }}
More complex example
| Model | {{ password }} |
|---|---|
| Invalid | {{ demoForm.password.$invalid }} |
| Input errors | {{ demoForm.password.$error | json }} |
| Change to |
|


Substance - 2CI
Setting - at home in my apartment alone
Experience level - 3rd trip
I got home from work and messed around on the computer for about 2 hours, and at around 8:30, took about 50 mg of 2CI. This, I thought, was pretty much the same dose as I had taken on my last trip, which was quite incredible, and lasted for about 6 hours, and I was able to sleep easily after the comedown. This trip was quite different. Apparently, minimal increases of dosage can result in catastrophic consequences. I'll relate the entire thing here.
In all, the trip was very confusing. At the onset, I felt slightly nauseous, and was expecting this because my last trip started out that way. I remember lying on my bed thinking 'hey, old lady nausea, you be not welcome here' and laughing crazily. The nausea passed and I tried to get up out of my bed, but it was very dark in my room with the computer and lights turned off. I got lost in the corner of my room, which was very dark, and just kind of wandered there bumping into the wall for about 5 minutes.
I finally had the presence of mind to turn on the light, and found my doorknob. By this time, I was hallucinating so strongly that it was very hard to see. I wandered into the kitchen and noticed that it was 10:00. I stood there in the kitchen and just got lost in the confusion. I really couldn't see anything, the visuals were tearing up the room so much. At this point, I started slipping out of reality for minutes at a time, and when I would come back, I would be just a LITTLE scared. I was glad I was at home and not somewhere else where I couldn't have complete control.
At one point I found myself in the kitchen saying 'GET A GRIP ON REALITY ASH' as I noticed my mangled hands blending in with the kitchen counter. I looked at the clock again and it was 10:10. It had felt like an eternity had passed since I started tripping, and I started trying to remember things from earlier in the evening, and found that my mind just wouldn't work. Everything was a confusing, chaotic mess. the trip continuted in this manner until about 2:00 in the morning, when things started to get a little less confusing.
I found a book I had been reading earlier before I started tripping, and picked it up. It was a fictional analysis by Noam Chomsky of The Lord of the Rings. The entire thing was absurd, and it took me about 2 hours to read 7 or 8 pages (it was VERY hard to see the text because of the way my mind was destroying everything visually but I finally slogged through the entire thing because it was HILARIOUS. I must have lost several ounces of water just from the tears from my laughter. At this point, it was almost 4:00, and the trip didn't seem to be tapering down at all visually.
I went outside on my balcony (we are lakeside) and noticed the town across the lake on the horizon, brightly lit. My mind created a great, organic, very high tech city on the horizon. Tall, curving skyscrapers grew from the lights of the real city, and the whole thing was lit in a very tron-esque way, with lots of edges and curves lined with glowing green, blue, and red lights. Radiating from this city was a network of roadways, flying through the air towards me and in all directions including away from me. Vehicles of light flowed along these roadways like blood coursing through a high tech, artificial, glowing vein. It was incredible. I stared at this for a LONG time.
Finally, at about 5:30 am, I was getting very tired but the trip wasn't coming down fast enough for my liking, so I took 2 neurontin (which have been enormously helpful to me in the past for sleeping) and by 6:00 I was asleep. I slept for the next 26 hours and woke up mildly tired but feeling completely normal.
All in all, this drug is fun in certain ways, but mostly just produces mass chaotic confusion for me except in low doses (12 mg) where its only like a mild acid trip and rather boring. I didn't experience any 'revelations' or anything spiritual, and I probably won't do this again. I've had my fun with it. It wasn't a bad trip at all, just... pure chaos basically.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.