I wrote Lists (Name, Item, etc.) for my Green Mountain Outpost Applikation.
I want the applikation to run automaticaly the testcase with 1 Persone and Item at the time. So that the app. runs 1 Person from list throug, than the second test with another.
Testcase
Function
List for Name, Item, etc.
[ ] int x = 1
[-] for each Name in customers
[ ] print(Name)
[ ] // Name = customers[x]
[ ] Artikel = items[x]
[ ] CardN = cardnumber[x]
[ ] Expi = expirationdate[x]
[ ] print(Artikel)
[ ] print(CardN)
[ ] print(Expi)
[ ] print("----------------------")
[ ] Bestellung (Name, Artikel, CardN, Expi)
[ ]
[ ] x++
You can mention the data in Excel and make the test case as data driven.
Each row will be having one data combination.
Related
I have the following record:
Source = [
Properties = [
steps = {
[
index = {
[
display = "Something",
data = "data2"
]
},
access = "Column1"
],
[
indices = {
[
display = "Something else",
data = "data2"
]
},
access = "Column2"
]
},
opt = [
key1 = "val1",
key2 = "val2",
key3 = "val3"
]
]
]
I am updating/adding a new field inside the nested record. However, after that I am unable to get the reference to the original record with the modified field.
Here is the M code for the change. I am adding a new field updatedKey3 which contained the capitalized key3 field and then I am removing the key3.
let Source = [
Properties = [
steps = {
[
index = {
[
display = "Something",
data = "data2"
]
},
access = "Column1"
],
[
indices = {
[
display = "Something else",
data = "data2"
]
},
access = "Column2"
]
},
opt = [
key1 = "val1",
key2 = "val2",
key3 = "val3"
]
]
],
step1 = Source[Properties][opt],
step2 = Record.AddField(step1, "updatedKey3", Text.Upper(step1[key3])),
step3 = Record.RemoveFields(step2, {"key3"})
in
step3
step3 returns the record:
[key1 = "val1", key2 = "val2", updatedKey3 = "VAL3"]
However I want this change within the Source record and view it completely. Any help would be appreciated.
I was able to do it by adding, removing and renaming fields. The following is the updated code for it. If anyone has a more optimized way to do so, please let me know.
let Source = [
Properties = [
steps = {
[
index = {
[
display = "Something",
data = "data2"
]
},
access = "Column1"
],
[
indices = {
[
display = "Something else",
data = "data2"
]
},
access = "Column2"
]
},
opt = [
key1 = "val1",
key2 = "val2",
key3 = "val3"
]
]
],
step1 = Source,
step2 = Record.RenameFields(Record.RemoveFields(Record.AddField(step1[Properties][opt], "tmpKey", Text.Upper(step1[Properties][opt][key3])), "key3"), {"tmpKey", "key3"}),
step3 = Record.RenameFields(Record.RemoveFields(Record.AddField(step1[Properties], "tmpOpt", step2), "opt"), {"tmpOpt", "opt"}),
step4 = Record.RenameFields(Record.RemoveFields(Record.AddField(step1, "tmpProperties", step3), "Properties"), {"tmpProperties", "Properties"})
in
step4
I deployed SSD VGG16 Atrous 300 model(COCO 2017, from Gluon CV) by AWS SageMaker JumpStart. Response from pretrained model contains normalized_boxes with values bigger than one(1), e.g.
"normalized_boxes": [
[
0.4935379866715316,
0.20722445845603943,
0.7275399344308036,
0.7329685688018799
],
[
1.9931350875686813,
0.15846982598304749,
2.275825517256181,
0.5962902307510376
],
...
"classes": [
0,
0,
...
"scores": [
0.344256728887558,
0.4128507971763611,
...
"labels": [
"person",
"bicycle",
...
"mxnet_model_output": [
[
[
[
0
],
[
0
],
...
[
[
[
0.9202409386634827
],
[
0.9055193662643433
],
...
[
[
[
1551.213134765625,
589.4755249023438,
1808.19921875,
878.4844360351562
],
[
1557.686767578125,
310.9128112792969,
1805.559814453125,
587.8072509765625
],
...
How to read those bounding boxes?
I didn't manage to find the answer on gluon(https://cv.gluon.ai/model_zoo/detection.html)
The model can be fine-tuned, the rules how to prepare annotations(available in model description):
"The annotations.json file should should have information for bounding_boxes and their class labels. It should have a dictionary with keys "images" and "annotations". Value for the "images" key should be a list of entries, one for each image of the form {"file_name": image_name, "height": height, "width": width, "id": image_id}. Value of the 'annotations' key should be a list of entries, one for each bounding box of the form {"image_id": image_id, "bbox": [xmin, ymin, xmax, ymax], "category_id": bbox_label}."
names of attributes are the same as in the COCO dataset - https://www.immersivelimit.com/tutorials/create-coco-annotations-from-scratch/#coco-dataset-format
only this part is not consistent with COCO: "[xmin, ymin, xmax, ymax]" as I found, COCO has "[x_min, y_min, width, height]"(https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/)
I tired also SSD VGG16 Atrous 512(pre-trained on VOC dataset) and faced the same problem, additionally, I received bbox value with a minus:
"normalized_boxes": [
[
0.9567698719737294,
-0.14875292778015137,
1.0963617010430975,
0.5834765434265137
],
...
How to deal with values smaller than 0?
I have a horizontal scrollview like below with V as an overlay and it acts like a pointer:
V
[ 0 ] , [ 1 ] , [ 2 ] , [ 3 ] , [ 4 ] , [ 5 ]
^
When I scroll, I would like to print the value or index that is in the current pointer.
Eg. scroll until [2] and it will print "2".
V
[ 2 ] , [ 3 ] , [ 4 ] , [ 5 ]
^
Could you guide me on how to achieve this?
I ended up using offset for this. Set a fixed width for a column, then we can calculate the offset for each column.
I don't want to see duplicate names exploring scenarios (especially confusing when there are a lot of tests).
Default: Wish:
[ RUN ] Help.I_need_somebody [ RUN OK ] Help.I_need_somebody (0 ms)
[ OK ] Help.I_need_somebody (0 ms) [ RUN OK ] Help.not_just_anybody (0 ms)
[ RUN ] Help.not_just_anybody [ RUN OK ] Help.you_know_I_need_someone (0 ms)
[ OK ] Help.not_just_anybody (0 ms) [ RUN OK ] Help.Help (0 ms)
[ RUN ] Help.you_know_I_need_someone
[ OK ] Help.you_know_I_need_someone (0 ms)
[ RUN ] Help.Help
[ OK ] Help.Help (0 ms)
Any tips?
basically I need to filter out Date - SEVERITY - JAVACLASSNAME - ERROR MESSAGE.
This is working for me..But its just half done.
(?[0-9]{4}-[0-9]{2}-[0-9]{2} [0-9]{2}:[0-9]{2}:[0-9]{2},[0-9]{3}) %{WORD:Severity}(?:%{GREEDYDATA:msg})
It doesnt show Javaclass..!
Here is the output I get
{
"Timestamp": [
[
"2015-03-03 03:12:16,978"
]
],
"Severity": [
[
"INFO"
]
],
"Error_Message": [
[
" [http-bio-16006-exec-71] [XYZ.ABC.JLM.app.task.ERT] [app:/saas reqid:23121221 jsid:* aid:* uid: org: vorg: un:] - Received to update queued for monitorId=54213213JBNJBSJBSJBS, worklow=8u298u2189u312, session=21684216814321"
]
]
}
LOGLINE
2015-03-03 03:12:16,978 INFO [http-bio-16006-exec-71] [XYZ.ABC.JLM.app.task.ERT] [app:/saas reqid:23121221 jsid:* aid:* uid: org: vorg: un:] - Received to update queued for monitorId=54213213JBNJBSJBSJBS, worklow=8u298u2189u312, session=21684216814321
This should work:
filter {
grok {
match => [
"message",
"%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:severity} \[(?<threadname>[^\]]+)\] \[(?<classname>[^\]]+)\] %{GREEDYDATA:message}"
]
overwrite => ["message"]
}
}