new package: corenlp (#18467)

* new package: corenlp

* import os, not os.path

var/spack/repos/builtin/packages/corenlp/corenlp.sh

@@ -0,0 +1,3 @@
+#!/bin/sh
+# convenience wrapper for corenlp
+java edu.stanford.nlp.pipeline.StanfordCoreNLP "$@"

var/spack/repos/builtin/packages/corenlp/package.py

@@ -0,0 +1,67 @@
+# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+import os
+
+
+class Corenlp(Package):
+    """Stanford CoreNLP provides a set of human language technology
+    tools. It can give the base forms of words, their parts of speech,
+    whether they are names of companies, people, etc., normalize
+    dates, times, and numeric quantities, mark up the structure of
+    sentences in terms of phrases and syntactic dependencies, indicate
+    which noun phrases refer to the same entities, indicate sentiment,
+    extract particular or open-class relations between entity
+    mentions, get the quotes people said, etc."""
+
+    homepage = "https://stanfordnlp.github.io/CoreNLP/index.html"
+    url      = "https://github.com/stanfordnlp/CoreNLP/archive/v4.0.0.tar.gz"
+
+    version('4.0.0', sha256='07195eed46dd39bdc364d3988da8ec6a5fc9fed8c17613cfe5a8b84d649c8f0f')
+
+    resources = [
+        ('4.0.0', 'f45bde062fb368d72f7d3c7ac1ddc6cfb61d3badc1152572bde17f1a5ed9ec94'),
+    ]
+    for ver, checksum in resources:
+        jarfile = 'stanford-corenlp-{0}-models.jar'.format(ver)
+        resource(when='@{0}'.format(ver),
+                 name=jarfile,
+                 url='https://repo1.maven.org/maven2/edu/stanford/nlp/stanford-corenlp/{0}/{1}'.format(ver, jarfile),
+                 expand=False,
+                 destination='',
+                 placement=jarfile,
+                 sha256=checksum)
+
+    depends_on('ant', type='build')
+
+    def install(self, spec, prefix):
+        ant = self.spec['ant'].command
+        ant()
+
+        with working_dir('classes'):
+            jar = Executable('jar')
+            jar('-cf', '../stanford-corenlp.jar', 'edu')
+
+        install_tree('.', prefix.lib)
+
+        # Set up a helper script to call java on the jar file,
+        # explicitly codes the path for java and the jar file.
+        mkdirp(prefix.bin)
+        script_sh = join_path(os.path.dirname(__file__), "corenlp.sh")
+        script = prefix.bin.corenlp
+        install(script_sh, script)
+        set_executable(script)
+
+        # Munge the helper script to explicitly point to java and the
+        # jar file.
+        java = self.spec['java'].prefix.bin.java
+        kwargs = {'ignore_absent': False, 'backup': False, 'string': False}
+        filter_file('^java', java, script, **kwargs)
+
+    def setup_run_environment(self, run_env):
+        class_paths = []
+        class_paths.extend(find(prefix.lib, '*.jar'))
+        classpath = os.pathsep.join(class_paths)
+        run_env.prepend_path('CLASSPATH', classpath)