benchmark-wrapper | Python Library to run benchmarks | Data Manipulation library

 by   cloud-bulldozer Python Version: v1.0.0 License: Apache-2.0

kandi X-RAY | benchmark-wrapper Summary

kandi X-RAY | benchmark-wrapper Summary

benchmark-wrapper is a Python library typically used in Utilities, Data Manipulation applications. benchmark-wrapper has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python Library to run benchmarks
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            kandi-support Support

              benchmark-wrapper has a low active ecosystem.
              It has 19 star(s) with 56 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 21 open issues and 46 have been closed. On average issues are closed in 247 days. There are 23 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of benchmark-wrapper is v1.0.0

            kandi-Quality Quality

              benchmark-wrapper has 0 bugs and 0 code smells.

            kandi-Security Security

              benchmark-wrapper has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              benchmark-wrapper code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              benchmark-wrapper is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              benchmark-wrapper releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed benchmark-wrapper and discovered the below as its top functions. This is intended to give you an instant insight into benchmark-wrapper implemented functionality, and help decide if they suit your requirements.
            • Emit the actions from the server
            • Return a dictionary of stat information for a given file
            • Format a record
            • Synchronously publish a given syncpoint
            • Processes a benchmark generator
            • Drop kernel cache
            • Wrapper for streaming
            • Execute all the fiods in fio_jobs
            • Build the fio job
            • Add fio result documents
            • Create a stream of bulk executors from an es
            • Calculate backoff sleep
            • Set configuration for TEX_cfg
            • Calculate cluster actions
            • Collect stats from systemd - analyze
            • Emit the upgrade of the cluster
            • Setup core
            • Upload a template
            • Get a dictionary of stat information for a file
            • Parse dockerfile list
            • Execute hammerdbcli
            • Run sysbench test results
            • Setup the tests
            • Calculate the sum of all operations
            • Run the log test
            • Collect results from Uperf
            • Runs fs - drift py
            • Execute ycs bcsb
            • Drops kernel cache
            Get all kandi verified functions for this library.

            benchmark-wrapper Key Features

            No Key Features are available at this moment for benchmark-wrapper.

            benchmark-wrapper Examples and Code Snippets

            No Code Snippets are available at this moment for benchmark-wrapper.

            Community Discussions

            QUESTION

            R: Is there a "Un-Character" Command in R?
            Asked 2022-Apr-10 at 17:37

            I am working with the R programming language.

            I have the following dataset:

            ...

            ANSWER

            Answered 2022-Apr-10 at 05:36

            Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

            Source https://stackoverflow.com/questions/71813866

            QUESTION

            Creating new columns based on data in row separated by specific character in R
            Asked 2022-Mar-15 at 08:48

            I've the following table

            Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

            The code is as follows:

            ...

            ANSWER

            Answered 2022-Mar-15 at 08:48

            One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

            Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

            Source https://stackoverflow.com/questions/71478316

            QUESTION

            Multiplying and Adding Values across Rows
            Asked 2022-Mar-10 at 08:24

            I have this data frame:

            ...

            ANSWER

            Answered 2022-Mar-10 at 04:12

            We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

            Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

            Source https://stackoverflow.com/questions/71418533

            QUESTION

            How to make a rank column in R
            Asked 2022-Mar-07 at 16:19

            I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

            ...

            ANSWER

            Answered 2022-Mar-07 at 14:15

            Using rank and relocate:

            Source https://stackoverflow.com/questions/71381995

            QUESTION

            How to return the column title wherein the row contains the greatest value in Pandas Dataframe
            Asked 2022-Feb-24 at 20:56

            I working on a Python project that has a DataFrame like this:

            ...

            ANSWER

            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

            Source https://stackoverflow.com/questions/71258033

            QUESTION

            Split large csv file into multiple files based on column(s)
            Asked 2022-Feb-07 at 12:49

            I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

            ...

            ANSWER

            Answered 2021-Dec-12 at 05:22

            With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

            Source https://stackoverflow.com/questions/70320648

            QUESTION

            Get the first non-null value from selected cells in a row
            Asked 2022-Feb-04 at 09:55

            Good afternoon, friends!

            I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

            My df is:

            ...

            ANSWER

            Answered 2022-Feb-03 at 11:16

            One option with dplyr could be:

            Source https://stackoverflow.com/questions/70970158

            QUESTION

            pivot_longer with column pairs
            Asked 2022-Feb-03 at 14:02

            I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

            ...

            ANSWER

            Answered 2022-Feb-03 at 10:59
            library(tidyverse)
            
            example %>% 
              pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
              pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
              filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
              mutate(pwr = parse_number(pwr)) %>% 
              arrange(pwr, es, type)
            

            Source https://stackoverflow.com/questions/70969176

            QUESTION

            Simulating Random Draws From a "Hat"
            Asked 2021-Dec-28 at 21:50

            Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

            ...

            ANSWER

            Answered 2021-Dec-26 at 10:11

            You may define a function FUN(n) that creates a data set as shown in OP.

            Source https://stackoverflow.com/questions/70483731

            QUESTION

            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

            Here is my data:

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install benchmark-wrapper

            If you are using a specific version of python and would like stable, reproducable builds, use the included install.txt files under the requirements directory. These are pip requirements files, generated using pip-compile, that specify version-locked dependencies for benchmark-wrapper that are tested and known to work for the given version of Python. For instance, to install on Python 3.6:.

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            https://github.com/cloud-bulldozer/benchmark-wrapper.git

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            gh repo clone cloud-bulldozer/benchmark-wrapper

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            git@github.com:cloud-bulldozer/benchmark-wrapper.git

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