smac | Shape Matching Analysis Code | Machine Learning library

I am trying to read two CSV files with the data listed below, compare the MAC addresses from each file, if a MAC exists in both files, write the following information to a 3rd CSV file(final.csv)

• mac, interface, vlan, ip

The two input files are:

1. swfile - information from MAC table on switch(mac-address, interface, vlan)
2. rtrfile - information from ARP table on router(mac-address, IP address)

I can run through a single file and get all of the information, but when I add the code to include reading and comparing against the 2nd file, I only get the first mac from the first file, it compares against the MACs in the second file, then it ends. It does not go through the rest of the MACs in the first file.

This is sample swfile data:

I am currently pulling JSON log files from an S3 bucket which contain different types of logs defined as RawLog, along with another value which is MessageSourceType (there are more metadata fields which I don't care about). Each line on the file is a separate log in case that makes a difference.

I currently have these all going into 1 index as seen in my config below, however, I ideally want to split these out into separate indexes. For example, if the MessageSourceType = Syslog - Linux Host then I need logstash to extract the RawLog as syslog and place it into an index called logs-syslog, whereas if the MessageSourceType = MS Windows Event Logging XML I want it to extract the RawLog as XML and place it in an index called logs-MS_Event_logs.

I am trying to write a REGEX for anything which has parenthesis, hyphens and spaces.

The strings I have look like

I'm trying to make a subroutine that mimics Perl6/Raku's dir. dir can search directories very easily and quickly, with file tests in a directory.

I'm trying to add a recursive option to dir.

I have a script that can accomplish this, but I'm trying to add a recursive option using File::Find script that I already know works:

Using Linear Learner in Sagemaker with MXNet RecordIO, I get "The header of the MXNet RecordIO record at position 5,089,840 in the dataset does not start with a valid magic number" after fit() has been running 38 minutes.

The file was generated using this code. Note that I tried two ways to upload to S3. I also tried direct upload of the BytesIO as well as upload of a file, shown here.

The "frame check sequence" is a 32-bit CRC "checksum" over the entire Ethernet frame, starting with the DMAC and covering the SMAC, type, and payload. It's transmitted as the last four bytes of an Ethernet frame, just before the interpacket gap.

I expect Scapy's Ether() method to have an argument for a packet attribute for this field. It does not.

Note that Scapy methods like IP() and TCP()/UDP() contain a checksum argument ("chksum") for the additional checksums defined for those protocols.

For example...

I'm following Sagemaker's k_nearest_neighbors_covtype example and had some questions about the way they pass their training data to the model.

For those who have not seen it, they load data from the internet, run some preprocessing, then save it to an S3 bucket in some sort of binary format (protobuf/recordIO). Their code is as follows:

I am trying to do the mutual authentication on eUICC, using SCP03. When I send External Authenticate command to the card, I receive this response from it: AF8023026985 which I believe the SW = 6985.

Would anyone please tell me what I am missing?

This is how I produce the external authenticate command in Python 3:

I'm implementing gRPC client and server in python. Server receives data from client successfully, but client receives back "RST_STREAM with error code 2".

What does it actually mean, and how do I fix it?

Here's my proto file: