Hello how can i reload the same component in ionic2 app.I have the following pages pushed to stack like this
Estimate List --> Main Estimate --> History --> Main Estimate
Here user can select an estimate from the estimate list.From there he can view the history all estimates given for a particular customer.From the estimate list if clicks on an estimate i should load Main Estimate Component.
If i simply push the Main Estimate Component the previous estimate remains in stack.What i need is remove the previous Estimate and History pages from stack and keep only the new estimate something like this
Estimate List --> Main Estimate
Can somebody please suggest me a way to achieve this.Thank you
Related
I have two questions
the first one is:
I have large data come from the server I saved it in a list , the customer can filter this data by 7 filters and two by text watcher this thing caused filtering operation to slow it takes 4 seconds in each time
I tried to put the filter keywords like(length or width ...) in one if and (&&) between them
but it didn't give me a result, also I tried to replace the textwatcher by spinner but it's not
useful.
I'm using one (for loop)
So the question: how can I use multi filter for list contain up to 2000 row with mini or zero slow?
the second is:
I saved from 2 to 8 pictures in the server in string form
the question is when I get these pictures from the server how can I show them in high quality?
when I show them I can see the pixels and this is not good for the customer
I don't want these pictures to take large space in the server and at the same time I want it in good quality when I restore them to display
I'm using Android/ Java
Thank you
The answer on my first quistion is if you want using filter (like when you are using online clothes shop and you want to filter it by less price ) you should use the hash map, not ordinary list it will be faster
The answer on my second question is: if you want to save store images in a database you should save it as a link, not a string or any other datatype
I have a list of football team names my_team_list = ['Bayern Munich', 'Chelsea FC', 'Manchester United', ...] and try to search for their official Facebook page to get their fan_count using the Python facebook-api. This is my code so far:
club_list = []
for team in my_team_list:
data = graph.request('/pages/search?q=' + team[0])
for i in data['data']:
likes = graph.get_object(id=i['id'], fields='id,name,fan_count,is_verified')
if likes['is_verified'] is True:
club_list.append([team[0],likes['name'],likes['fan_count'],likes['id']])
However, because my list contains over 3000 clubs, with this code I will get the following rate limit error:
GraphAPIError: (#4) Application request limit reached
How can I reduce the calls to get more than one club's page per call (e.g. batch calls?)
As the comment on the OP states, batching will not save you. You need to be actively watching the rate limiting:
"All responses to calls made to the Graph API include an X-App-Usage HTTP header. This header contains the current percentage of usage for your app. This percentage is equal to the usage shown to you in the rate limiting graphs. Use this number to dynamically balance your call load to avoid being throttled."
https://developers.facebook.com/docs/graph-api/advanced/rate-limiting#application-level-rate-limiting
On your first run through, you should save all of the valid page ids so in the future you can just query those ids instead of doing a search.
Weka Explorer provides Time Series Forecasting perspective and it is easy to use.
However, what should I do, if I want to use KnowledgeFlow for time series forecast?
what if I want to save original dataset with predictions?
Solutions (Thanks to the help from people from WekaList, especially, Mark Hall, Eibe Frank)
Open knowledgeFlow, load dataset with ArffLoader
go to setting, check time series forecasting perspective, right-click ArffLoader to send to all perspective
go to time series forecasting perspective to set up a model
run the model and copy the model to clipboard
ctrl + v, and click to paste model to Data mining process canvas
save prediction along with original data with ArffSaver
I have gone through many articles and all are suggested me to create custom fields/Keywords in testlink to estimate the time for sprint execution.
Articles like :-
http://www.softwaretestingconcepts.com/testlink-using-custom-fields-and-keywords-for-effective-testing
Is there any alternative approach or any scientific method to estimate your sprint execution accurately.
I have found one article proposing below method:-
Number of Test Cases = (Number of Function Points) × 1.2
Source :- http://www.tutorialspoint.com/estimation_techniques/estimation_techniques_testing.htm
What should be the approach to estimating your execution cycle? Currently, I am doing it as per my experience in my project. It is working fine but management wants a concrete mechanism for same. Please suggest and share your experience
I have added Time Estimate and Actual Time from below option:-
Below is the result of above setting
I am not able to get this field data in report. I need total estimate also and then comparison between actual and estimated time
Any help would be appreciated
TestLink provides inbuilt support to record Estimated Exec. time(define at TestCase creation) and Actual Execution time. (record at TestCase Execution time)
Based on this feature hopes you can buildup your requirement.
I want to answer this question:
Does the average time on page A (or more accurately page group A) affect the conversion rate of goal B?
So far in the GUI I have:
A) Created an advanced segment of Time on Page >= 120 ("per hit" option):
http://grab.by/tKOA
B) Modified the segment to also add a filter for Page = regex matching my group:
http://grab.by/tKOU
...But I don't know if this gives me the results I'm after; that is, if they are accurate
I have some other ideas, including assigning the page group as a funnel step and then segmenting by the Time on Page; still waiting on data to come in for that one
Wanting to know if there was a better solution or if I'm on the right track
Drewdavid,
Your approach is quite smart and correct, I would say, however keep in mind that in this context, you are mixing different scopes:
Time on Page is page-level metric
Page seen is visit-level dimension
What you would get in your report is the average time on page calculated from all the pages there were seen during visits which met the regex condition set in the filter (that's what segment does, it included all the pages, not just those that you want to filter). I know this can be confusing, but see this article that gives more examples and goes into greater detail.
To achieve what you are after, remove the segment filter and simply use the advanced filtering above the report table (and choose exactly the same regex you mentioned in your question).
Hope this helps!