Western Union and Bank transfers are now available to the following countries Worldwide!!!

Western Union and Bank transfers are now available to the following countries Worldwide!!!

All my Transfers are processed Immediately payment has been Confirmed. You Can Pick Up Funds From Any Western union Store in Your Location. All my Transfers are done using my own offshore servers and Accounts so you have Nothing to worry about. I give you the MTCN , sender info and all cash out info in 1-2 hours.
The transaction is done by using either high limit full info cards or bank logins…

Western Union and Bank transfers are now available to the following countries Worldwide!!!

Western Union and Bank transfers are now available to the following countries Worldwide!!!

Western Union and Bank transfers are now available to the following countries Worldwide!!!
All my Transfers are processed Immediately payment has been Confirmed. You Can Pick Up Funds From Any Western union Store in Your Location. All my Transfers are done using my own offshore servers and Accounts so you have Nothing to worry about. I give you the MTCN , sender info and all cash out info in 1-2 hours.
The transaction is done by using either high limit full info cards or bank logins…

Western Union and Bank transfers are now available to the following countries Worldwide!!!

Would a HTTPS protected URL be secure in the following circumstances?

I am looking at enabling a hosted phonebook provided by a hosted VOIP provider.

The phonebook is hosted on a server. The phonebook is accessed via a username / password protected web GUI for inputting contact details, and produces a XML feed where VOIP phones can connect to it so the contacts can be called from the phonebook.

All connections to the server are HTTPS.

The problem is that the VOIP phones cant handle authentication so the XML feed is kept on a long unique 100+ character URL, which is essentially security by obfuscation. If someone gets hold of the URL they have access to the full phonebooks contents.

The VOIP provider has assured me this is secure, as the URL is essentially a password. But I am not sure about this…

Obviously someone could find the URL, which would be hard for them to randomly stumble across, but if they did the contents are unprotected.

But if someone was sniffing traffic on the LAN, the VOIP phones are connected to, would they be able to see the VOIP phones contacting the XML feed, or would the URL they are using be encrypted by virtue of it being SSL ?

UnsatisfiableError: The following specifications were found to be incompatible with each other

How to Install opencv using conda with python3.7 on ubuntu 18.04?

I am following this link and others, but getting the following error:

UnsatisfiableError: The following specifications were found to be incompatible with each other   

I have seen a comment somewhere that it is because the latest version of conda has python3.7 while the latest version of opencv is not compatible with it.

I am new to conda and not sure if that is the reason.

Any help?

Can stories always be independent (following the INVEST principle)?

I was trying to follow the INVEST approach for our stories but frankly, the “Independent on each other” does not really makes sense. Quite often stories are building functionality upon what has been already done. For example, we have a story “As a user, I want to configure my access code” and another one “As a user, I want to activate my account”. The thing is, without configuring the access code, users cannot activate their account. Both features are independent from business perspective, you can have only your access code configured so merging them does not makes sense. However, then there is the dependency…

how to implement the following logic using java spark

consider a dataframe

dataframe

============================================================  number|date|label|opendate|closedate|updateddate  1|1/1/2019|a|||  2|1/1/2019|a|||  3|1/1/2019|a|||  1|1/1/2019|b|||  ============================================================ 

i need to check the following condition and update the columns of the open close and updated date

condition1—————-> =>For all rows the open and updated date is default set as date

condition2—————-> =>when number is same we have to check the label if label differs then we have to set the close date and updated date of the first occuring number and set updated date alone for the second occuring number

expected output dataframe:

==============================================================  number|date|label|opendate|closedate|updateddate  1|1/1/2019|a|1/1/2019|2/1/2019|2/1/2019  ---->first occuring number  2|1/1/2019|a|1/1/2019||1/1/2019  3|1/1/2019|a|1/1/2019||1/1/2019  1|2/1/2019|b|2/1/2019||2/1/2019  ----> second occuring number   =============================================================== 

condition3——–> =>when number is same we have to check the label if the label is same then set the first occuring updated date as date of the second occuring and delete the second row. example dataframe that matched above condition:

dataframe

========================================================  number|date|label|opendate|closedate|updateddate  1|1/1/2019|a ||| ---->first occuring number  2|1/1/2019|b|||  3|1/1/2019|c|||  1|2/1/2019|a ||| ----> second occuring number with same label   ========================================================== 

expected output dataframe:

=================================================================================================

number|date|label|opendate|closedate|updateddate  1|1/1/2019|a|1/1/2019||2/1/2019  ----> first occuring number updated date is setted as second occuring numbers date  2|1/1/2019|a|1/1/2019||1/1/2019  3|1/1/2019|a|1/1/2019||1/1/2019                                                                   ----> second occuring number row  deleted  ============================================================================================= 

i have done the same logic using plain java using arraylist and pojo classes and i need to know how to implement above logic using spark kindly help me with it

i tried updating it using spark udf functions but it works for only one column

an example code will be usefull

thanks in advance ………

Populating values in a SharePoint List following a users input in InfoPath

I am trying to use infopath for a service support type portal, as part of this I have:

A “Requests” SharePointList An infopath form asking for a users requirements using the above

In this form I want the requirement field from the user to populate another column in the Requests list from a lookup. The result of which will then be the assigned to and will send an email to the relevant individual.

For example:

User Requirement = Google Issue

Look up List states Google issue = Ron@email.com

In my requests List i have an Assigned to field that I want to be filled with the above e.g. Ron@email.com

An email then goes out informing the Assigned to.

My research:

I have looked into setting up rules as an action to set the field value for my Assigned to field setting up a data connection to my look up table and then trying to add a filter to achieve the goal but am so far falling short, and am not sure even if this is the best method going forward?

Thanks

How can I decide which element is not following Poisson distribution in r?

i have a dataset which records the items and how many times the particular item is touched. Since each item is independent and the pick is randomly, shall be okay to see it follow the poisson distribution.

DT <- data.frame(X = c(paste0("A", 1:78)),                   Y = c(rep(6, 13), rep(7, 17 ), rep(8, 9), rep(9, 8),                         rep(10, 8), rep(12,2), rep(14,2), rep(17, 18), 23))   

by hist, it seems obviously not always following the poisson shape as expected.

hist(DT$  Y) hist(dpois(DT$  Y, lambda = mean(DT$  Y))) 

distribution of item picked

My question is, there must be some items, say the far right two items, are “unPoissonly” touched. How can I decide each of the item is “unusual”?