idontgetoutmuch

{ pkgs ? import <nixpkgs> {}, doBenchmark ? false }:

let my-blas-ffi = pkgs.haskellPackages.callPackage ../blas-ffi/default.nix {};

f = { mkDerivation, base, blaze-html, boxes, ChasingBottoms
    , comfort-array, data-ref, deepseq, fixed-length
    , guarded-allocation, hyper, lapack-ffi, lazyio, liblapack, monoid-transformer
    , netlib-ffi, non-empty, QuickCheck, quickcheck-transformer, random
    , semigroups, stdenv, text, tfp, transformers, unique-logic-tf
    , utility-ht }:

idontgetoutmuch

let
  jupyterLibPath = ../../..;
  nixpkgsPath = jupyterLibPath + "/nix";

  pkgs = import nixpkgsPath {};

  monadBayesSrc = pkgs.fetchFromGitHub {
    owner = "adscib";
    repo = "monad-bayes";
    rev = "647ba7cb5a98ae028600f3d828828616891b40fb";

idontgetoutmuch

let

rOverlay = rself: rsuper: {
  myR = rsuper.rWrapper.override {
    packages = with rsuper.rPackages; [
      ggplot2
      dplyr
      xts
      purrr
    ];

idontgetoutmuch

let

rOverlay = rself: rsuper: {
  myR = rsuper.rWrapper.override {
    packages = with rsuper.rPackages; [
      ggplot2
      dplyr
      xts
      purrr
    ];

idontgetoutmuch

let

rOverlay = rself: rsuper: {
  myR = rsuper.rWrapper.override {
    packages = with rsuper.rPackages; [
      ggplot2
      dplyr
      xts
      purrr
    ];

idontgetoutmuch

let

  pkgs = {
    ihaskell = builtins.fetchTarball {
      url = "https://github.com/gibiansky/IHaskell/tarball/bb2500c448c35ca79bddaac30b799d42947e8774";
      sha256 = "1n4yqxaf2xcnjfq0r1v7mzjhrizx7z5b2n6gj1kdk2yi37z672py";
    };
    nixpkgs = builtins.fetchTarball {
      url = "https://github.com/NixOS/nixpkgs-channels/tarball/49dc8087a20e0d742d38be5f13333a03d171006a";
      sha256 = "1fdnqm4vyj50jb2ydcc0nldxwn6wm7qakxfhmpf72pz2y2ld55i6";

idontgetoutmuch

{ pkgs ? import <nixpkgs> {}, doBenchmark ? false }:

let

f = { mkDerivation, haskell, base, foldl, Frames, fuzzyset
    , inline-r, integration, lens, libintlOrEmpty
    , monad-loops
    , R, random, stdenv
    , template-haskell, temporary }:
mkDerivation {

idontgetoutmuch

{ nixpkgs ? import ./nix/nixpkgs.nix {} }:

let

  haskellDeps = ps: with ps; [
    inline-r
  ];

  ghc = nixpkgs.haskellPackages.ghcWithPackages haskellDeps;

idontgetoutmuch

{ system ? builtins.currentSystem }:
let
  nixpkgs = builtins.fetchTarball {
    url = "https://github.com/NixOS/nixpkgs-channels/archive/nixos-19.03.tar.gz";
    sha256 = "06cqc37yj23g3jbwvlf9704bl5dg8vrzqvs5y2q18ayg9sw61i6z";
  };
in
  import nixpkgs {
    inherit system;
    config = {}; # prevent nixpkgs from loading user configuration

idontgetoutmuch

name:                cmaes
version:             0.2.3
synopsis:            CMA-ES wrapper in Haskell
description:

  @cmaes@ is a wrapper for Covariance Matrix Adaptation Evolution
  Strategy(CMA-ES), an evolutionary algorithm for difficult non-linear
  non-convex optimization problems in continuous domain. To use this
  package you need python2 with numpy available on your system. The
  package includes @cma.py@ , Nikolaus Hansen's production-level CMA