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author="The Agda Team, see https://agda.readthedocs.io/en/latest/team.html";
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homepage="https://wiki.portal.chalmers.se/agda/";
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url="";
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synopsis="A dependently typed functional programming language and proof assistant";
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description="Agda is a dependently typed functional programming language: It has\ninductive families, which are similar to Haskell's GADTs, but they\ncan be indexed by values and not just types. It also has\nparameterised modules, mixfix operators, Unicode characters, and an\ninteractive Emacs interface (the type checker can assist in the\ndevelopment of your code).\n\nAgda is also a proof assistant: It is an interactive system for\nwriting and checking proofs. Agda is based on intuitionistic type\ntheory, a foundational system for constructive mathematics developed\nby the Swedish logician Per Martin-Löf. It has many\nsimilarities with other proof assistants based on dependent types,\nsuch as Coq, Idris, Lean and NuPRL.\n\nThis package includes both a command-line program (agda) and an\nEmacs mode. If you want to use the Emacs mode you can set it up by\nrunning @agda-mode setup@ (see the README).\n\nNote that the Agda package does not follow the package versioning\npolicy, because it is not intended to be used by third-party\npackages.";
synopsis="Show, plot and compare benchmark results";
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description="Generate text reports and graphical charts from the benchmark results generated\nby @gauge@ or @criterion@ and stored in a CSV file. This tool is especially\nuseful when you have many benchmarks or if you want to compare benchmarks\nacross multiple packages. You can generate many interesting reports\nincluding:\n\n* Show individual reports for all the fields measured e.g. @time taken@, @peak\nmemory usage@, @allocations@, among many other fields measured by @gauge@\n* Sort benchmark results on a specified criterion e.g. you may want to see the\nbiggest cpu hoggers or biggest memory hoggers on top\n* Across two benchmark runs (e.g. before and after a change), show all the\noperations that resulted in a regression of more than x% in descending\norder, so that we can quickly identify and fix performance problems in our\napplication.\n* Across two (or more) packages providing similar functionality, show all the\noperations where the performance differs by more than 10%, so that we can\ncritically analyze the packages and choose the right one.\n\nQuick Start: Use @gauge@ or @criterion@ to generate a @results.csv@ file, and\nthen use either the @bench-show@ executable or the library APIs to generate\ntextual or graphical reports.\n\n@\n$ bench-show report results.csv\n$ bench-show graph results.csv output\n@\n\n@\nreport \"results.csv\" Nothing defaultConfig\ngraph \"results.csv\"\"output\" defaultConfig\n@\n\nThere are many ways to present the reports, for example, you can show can\nshow % regression from a baseline in descending order textually as follows:\n\n@\n(time)(Median)(Diff using min estimator)\nBenchmark streamly(0)(μs)(base) streamly(1)(%)(-base)\n\\--------- --------------------- ---------------------\nzip 644.33 +23.28\nmap 653.36 +7.65\nfold 639.96 -15.63\n@\n\nTo show the same graphically:\n\n<<src/docs/regression-percent-descending-median-time.svg>>\n\nSee the README and the \"BenchShow.Tutorial\" module for comprehensive\ndocumentation.";
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