Merge pull request #17375 from houqp/master

pythonPackpages.tensorflow: 0.8.0 -> 0.9.0

pkgs/development/libraries/protobuf/3.0.0-beta-2.nix

···
+{ stdenv, fetchFromGitHub , autoreconfHook, zlib, gmock }:
+
+stdenv.mkDerivation rec {
+  name = "protobuf-${version}";
+
+  version = "3.0.0-beta-2";
+  # make sure you test also -A pythonPackages.protobuf
+  src = fetchFromGitHub {
+    owner = "google";
+    repo = "protobuf";
+    rev = "v${version}";
+    sha256 = "0cbr1glgma5vakabsjwcs41pcnn8yphhn037l0zd121zb9gdaqc1";
+  };
+
+  postPatch = ''
+    rm -rf gmock
+    cp -r ${gmock.source} gmock
+    chmod -R a+w gmock
+  '' + stdenv.lib.optionalString stdenv.isDarwin ''
+    substituteInPlace src/google/protobuf/testing/googletest.cc \
+      --replace 'tmpnam(b)' '"'$TMPDIR'/foo"'
+  '';
+
+  buildInputs = [ autoreconfHook zlib ];
+
+  enableParallelBuilding = true;
+
+  doCheck = true;
+
+  meta = {
+    description = "Google's data interchange format";
+    longDescription =
+      ''Protocol Buffers are a way of encoding structured data in an efficient
+        yet extensible format. Google uses Protocol Buffers for almost all of
+        its internal RPC protocols and file formats.
+      '';
+    license = stdenv.lib.licenses.bsd3;
+    platforms = stdenv.lib.platforms.unix;
+    homepage = https://developers.google.com/protocol-buffers/;
+  };
+
+  passthru.version = version;
+}

pkgs/development/libraries/protobuf/generic.nix

···
 
   meta = {
     description = "Protocol Buffers - Google's data interchange format";
-
     longDescription =
       '' Protocol Buffers are a way of encoding structured data in an
          efficient yet extensible format.  Google uses Protocol Buffers for
          almost all of its internal RPC protocols and file formats.
       '';
-
     license = "mBSD";
-
     homepage = https://developers.google.com/protocol-buffers/;
     platforms = stdenv.lib.platforms.unix;
   };

pkgs/top-level/all-packages.nix

···
 
   protobuf = protobuf2_6;
   protobuf3_0 = lowPrio (callPackage ../development/libraries/protobuf/3.0.nix { });
+  # 3.0.0-beta-2 is only introduced for tensorflow. remove this version when tensorflow is moved to 3.0.
+  protobuf3_0_0b2 = lowPrio (callPackage ../development/libraries/protobuf/3.0.0-beta-2.nix { });
   protobuf2_6 = callPackage ../development/libraries/protobuf/2.6.nix { };
   protobuf2_5 = callPackage ../development/libraries/protobuf/2.5.nix { };
 

pkgs/top-level/python-packages.nix

···
 
   protobuf = self.protobuf2_6;
   protobuf3_0 = (self.protobufBuild pkgs.protobuf3_0).override { doCheck = false; };
+  protobuf3_0_0b2 = (self.protobufBuild pkgs.protobuf3_0_0b2).override { doCheck = false; };
   protobuf2_6 = self.protobufBuild pkgs.protobuf2_6;
   protobuf2_5 = self.protobufBuild pkgs.protobuf2_5;
   protobufBuild = protobuf: buildPythonPackage rec {
···
 
   tensorflowNoGpuSupport = buildPythonPackage rec {
     name = "tensorflow";
-    version = "0.8.0";
+    version = "0.9.0";
     format = "wheel";
 
     src = pkgs.fetchurl {
       url = "https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-${version}-cp27-none-linux_x86_64.whl";
-      sha256 = "07lb6rknngq9bicd7z1q9caiqxlqn4fdx8q24s3rqvv9wi79szws";
+      sha256 = "15v7iyry8bmp5wcc1rr4bkp80f3887rl99zqf8pys5bad4gldbkh";
     };
 
-    propagatedBuildInputs = with self; [ numpy six protobuf3_0 pkgs.swig ];
+    propagatedBuildInputs = with self; [ numpy six protobuf3_0_0b2 pkgs.swig ];
 
     preFixup = ''
       RPATH="${stdenv.lib.makeLibraryPath [ pkgs.gcc.cc.lib pkgs.zlib ]}"
···
       description = "TensorFlow helps the tensors flow (no gpu support)";
       homepage = http://tensorflow.org;
       license = licenses.asl20;
+    };
+  };
+
+  tflearn = buildPythonPackage rec {
+    name = "tflearn-0.2.1";
+
+    meta = {
+      description = "Deep learning library featuring a higher-level API for TensorFlow";
+      homepage    = "https://github.com/tflearn/tflearn";
+      license     = licenses.mit;
+      maintainers = with maintainers; [ houqp ];
+    };
+
+    propagatedBuildInputs = with self; [ scipy h5py pillow tensorflow ];
+
+    src = pkgs.fetchurl {
+      url = "mirror://pypi/t/tflearn/${name}.tar.gz";
+      sha256 = "1n884c4j35409id2bncyj5fvmmfpdqj3pk6wrv0s1znnvs0lkii0";
     };
   };