gprofiler | wide profiler , combining multiple sampling profilers | Monitoring library
kandi X-RAY | gprofiler Summary
kandi X-RAY | gprofiler Summary
gProfiler combines multiple sampling profilers to produce unified visualization of what your CPU is spending time on, displaying stack traces of your processes across native programs1 (includes Golang), Java and Python runtimes, and kernel routines. gProfiler can upload its results to the Granulate Performance Studio, which aggregates the results from different instances over different periods of time and can give you a holistic view of what is happening on your entire cluster. To upload results, you will have to register and generate a token on the website. gProfiler runs on Linux (on x86_64 and Aarch64; Aarch64 support is not complete yet and not all runtime profilers are supported, see architecture support). For installation methods, jump to run as...
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Top functions reviewed by kandi - BETA
- Profile a process
- Return an iterator that removes paths from the context
- Remove given path
- Run a command and return its output
- Start profiling
- Wait until condition is met
- Return the arguments for the offset command
- Parse command line arguments
- Adds profiler arguments to the argument parser
- Return a dict of processes to profile
- Snapshot the scheduler
- Log CPU usage
- Log the usage of the cgroup
- Get metadata for a given spawn time
- Prepare the logging message
- Continuous profiling
- Return a tuple of profiler instances
- Profile the given process
- Verify that the gprofiler is running
- Return libc version string
- Return the application id for the given process
- Merge global FP2 perf2 perfs
- Determine app id
- Returns True if perf_events is available in perf_events
- Return app id
- Snapshot process data
gprofiler Key Features
gprofiler Examples and Code Snippets
Community Discussions
Trending Discussions on gprofiler
QUESTION
I am working with microarray data within an ExpressionSet object downloaded from Gene Expression Omnibus. The rows of the expression data in this object are labeled with probe names, but for downstream analysis I really need the gene symbols.
Thankfully, the individuals that compiled this dataset included the corresponding gene symbols in the metadata that accompanies this kind of object.
I am trying to write a for loop within a function that looks at the list of variable labels (effectively row names for the metadata), determines whether a column called "GENE_SYMOBL" is present, then either writes those gene symbols to a vector, or moves on and converts the probe names to gene symbols using gprofileR.
I don't want my if else statement to run for each iteration of my for loop, I just want it to run after the if statement has determined if any of the row names are "GENE_SYMBOL".
So far I have written the for loop with the if statement but can't figure out how to put the condition if ANY of the column names match, then do A, if none match then do B.
...ANSWER
Answered 2019-Aug-07 at 18:52You can add a boolean variable to record if your condition is hit in the for loop and then break to avoid unnecessary calculation
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gprofiler
You can use gprofiler like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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