Context:
#!/usr/bin/env python
# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.

import fnmatch
import glob
import optparse
import os
import posixpath
import shutil
import stat
import sys
import time
import zipfile

if sys.version_info < (2, 6, 0):
  sys.stderr.write("python 2.6 or later is required run this script\n")
  sys.exit(1)

def IncludeFiles(filters, files):
  """Filter files based on inclusion lists

  Return a list of files which match and of the Unix shell-style wildcards
  provided, or return all the files if no filter is provided."""
  if not filters:
    return files
  match = set()
  for file_filter in filters:
    match |= set(fnmatch.filter(files, file_filter))
  return [name for name in files if name in match]

def ExcludeFiles(filters, files):
  """Filter files based on exclusions lists

  Return a list of files which do not match any of the Unix shell-style
  wildcards provided, or return all the files if no filter is provided."""
  if not filters:
    return files
  match = set()
  for file_filter in filters:
    excludes = set(fnmatch.filter(files, file_filter))
    match |= excludes
  return [name for name in files if name not in match]

def CopyPath(options, src, dst):
  """CopyPath from src to dst

  Copy a fully specified src to a fully specified dst.  If src and dst are
  both files, the dst file is removed first to prevent error.  If and include
  or exclude list are provided, the destination is first matched against that
  filter."""
  if options.includes:
    if not IncludeFiles(options.includes, [src]):
      return

  if options.excludes:
    if not ExcludeFiles(options.excludes, [src]):
      return

  if options.verbose:
    print 'cp %s %s' % (src, dst)

  # If the source is a single file, copy it individually
  if os.path.isfile(src):
    # We can not copy over a directory with a file.
    if os.path.exists(dst):
      if not os.path.isfile(dst):
        msg = "cp: cannot overwrite non-file '%s' with file." % dst
        raise OSError(msg)
      # If the destination exists as a file, remove it before copying to avoid
      # 'readonly' issues.
      os.remove(dst)

    # Now copy to the non-existent fully qualified target
    shutil.copy(src, dst)
    return

  # Otherwise it's a directory, ignore it unless allowed
  if os.path.isdir(src):
    if not options.recursive:
      print "cp: omitting directory '%s'" % src
      return

    # We can not copy over a file with a directory.
    if os.path.exists(dst):
      if not os.path.isdir(dst):
        msg = "cp: cannot overwrite non-directory '%s' with directory." % dst
        raise OSError(msg)
    else:
      # if it didn't exist, create the directory
      os.makedirs(dst)

    # Now copy all members
    for filename in os.listdir(src):
      srcfile = os.path.join(src, filename)
      dstfile = os.path.join(dst, filename)
      CopyPath(options, srcfile, dstfile)
  return

def Copy(args):
  """A Unix cp style copy.

  Copies multiple sources to a single destination using the normal cp
  semantics.  In addition, it support inclusion and exclusion filters which
  allows the copy to skip certain types of files."""
  parser = optparse.OptionParser(usage='usage: cp [Options] souces... dest')
  parser.add_option(
      '-R', '-r', '--recursive', dest='recursive', action='store_true',
      default=False,
      help='copy directories recursively.')
  parser.add_option(
      '-v', '--verbose', dest='verbose', action='store_true',
      default=False,
      help='verbose output.')
  parser.add_option(
      '--include', dest='includes', action='append', default=[],
      help='include files matching this expression.')
  parser.add_option(
      '--exclude', dest='excludes', action='append', default=[],
      help='exclude files matching this expression.')
  options, files = parser.parse_args(args)
  if len(files) < 2:
    parser.error('ERROR: expecting SOURCE(s) and DEST.')

  srcs = files[:-1]
  dst = files[-1]

  src_list = []
  for src in srcs:
    files = glob.glob(src)
    if len(files) == 0:
      raise OSError('cp: no such file or directory: ' + src)
    if files:
      src_list.extend(files)

  for src in src_list:
    # If the destination is a directory, then append the basename of the src
    # to the destination.
    if os.path.isdir(dst):
      CopyPath(options, src, os.path.join(dst, os.path.basename(src)))
    else:
      CopyPath(options, src, dst)

def Mkdir(args):
  """A Unix style mkdir"""
  parser = optparse.OptionParser(usage='usage: mkdir [Options] DIRECTORY...')
  parser.add_option(
      '-p', '--parents', dest='parents', action='store_true',
      default=False,
      help='ignore existing parents, create parents as needed.')
  parser.add_option(
      '-v', '--verbose', dest='verbose', action='store_true',
      default=False,
      help='verbose output.')

  options, dsts = parser.parse_args(args)
  if len(dsts) < 1:
    parser.error('ERROR: expecting DIRECTORY...')

  for dst in dsts:
    if options.verbose:
      print 'mkdir ' + dst
    try:
      os.makedirs(dst)
    except OSError:
      if os.path.isdir(dst):
        if options.parents:
          continue
        raise OSError('mkdir: Already exsists: ' + dst)
      else:
        raise OSError('mkdir: Failed to create: ' + dst)
  return 0

def MovePath(options, src, dst):
  """MovePath from src to dst

  Moves the src to the dst much like the Unix style mv command, except it
  only handles one source at a time.  Because of possible temporary failures
  do to locks (such as anti-virus software on Windows), the function will retry
  up to five times."""
  # if the destination is not an existing directory, then overwrite it
  if os.path.isdir(dst):
    dst = os.path.join(dst, os.path.basename(src))

  # If the destination exists, the remove it
  if os.path.exists(dst):
    if options.force:
      Remove(['-vfr', dst])
      if os.path.exists(dst):
        raise OSError('mv: FAILED TO REMOVE ' + dst)
    else:
      raise OSError('mv: already exists ' + dst)
  for _ in range(5):
    try:
      os.rename(src, dst)
      return
    except OSError as error:
      print 'Failed on %s with %s, retrying' % (src, error)
      time.sleep(5)
  print 'Gave up.'
  raise OSError('mv: ' + error)

def Move(args):
  parser = optparse.OptionParser(usage='usage: mv [Options] souces... dest')
  parser.add_option(
      '-v', '--verbose', dest='verbose', action='store_true',
      default=False,
      help='verbose output.')
  parser.add_option(
      '-f', '--force', dest='force', action='store_true',
      default=False,
      help='force, do not error it files already exist.')

Answer: options, files = parser.parse_args(args)

<think>
The Move function is being defined. After setting up the OptionParser and adding options, the next logical step is to parse the command-line arguments. This mirrors the pattern used in the earlier Copy and Mkdir functions, where they call parser.parse_args(args) to obtain options and file arguments.
</think>
options, files = parser.parse_args(args)


Context:
// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.

using Xunit;

namespace ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclassregmeth.genclassregmeth
{
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclassregmeth.genclassregmeth;
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass001.genclass001;
    using System;
    using System.Collections.Generic;

    public class C
    {
    }

    public interface I
    {
    }

    public class MyClass
    {
        public int Field = 0;
    }

    public struct MyStruct
    {
        public int Number;
    }

    public enum MyEnum
    {
        First = 1,
        Second = 2,
        Third = 3
    }

    public class MemberClass<T>
    {
        #region Instance methods
        public bool Method_ReturnBool()
        {
            return false;
        }

        public T Method_ReturnsT()
        {
            return default(T);
        }

        public T Method_ReturnsT(T t)
        {
            return t;
        }

        public T Method_ReturnsT(out T t)
        {
            t = default(T);
            return t;
        }

        public T Method_ReturnsT(ref T t, T tt)
        {
            t = default(T);
            return t;
        }

        public T Method_ReturnsT(params T[] t)
        {
            return default(T);
        }

        public T Method_ReturnsT(float x, T t)
        {
            return default(T);
        }

        public int Method_ReturnsInt(T t)
        {
            return 1;
        }

        public float Method_ReturnsFloat(T t, dynamic d)
        {
            return 3.4f;
        }

        public float Method_ReturnsFloat(T t, dynamic d, ref decimal dec)
        {
            dec = 3m;
            return 3.4f;
        }

        public dynamic Method_ReturnsDynamic(T t)
        {
            return t;
        }

        public dynamic Method_ReturnsDynamic(T t, dynamic d)
        {
            return t;
        }

        public dynamic Method_ReturnsDynamic(T t, int x, dynamic d)
        {
            return t;
        }

        // Multiple params
        // Constraints
        // Nesting
        #endregion
        #region Static methods
        public static bool? StaticMethod_ReturnBoolNullable()
        {
            return (bool?)false;
        }
        #endregion
    }

    public class MemberClassMultipleParams<T, U, V>
    {
        public T Method_ReturnsT(V v, U u)
        {
            return default(T);
        }
    }

    public class MemberClassWithClassConstraint<T>
        where T : class
    {
        public int Method_ReturnsInt()
        {
            return 1;
        }

        public T Method_ReturnsT(decimal dec, dynamic d)
        {
            return null;
        }
    }

    public class MemberClassWithNewConstraint<T>
        where T : new()
    {
        public T Method_ReturnsT()
        {
            return new T();
        }

        public dynamic Method_ReturnsDynamic(T t)
        {
            return new T();
        }
    }

    public class MemberClassWithAnotherTypeConstraint<T, U>
        where T : U
    {
        public U Method_ReturnsU(dynamic d)
        {
            return default(U);
        }

        public dynamic Method_ReturnsDynamic(int x, U u, dynamic d)
        {
            return default(T);
        }
    }

    #region Negative tests - you should not be able to construct this with a dynamic object
    public class MemberClassWithUDClassConstraint<T>
        where T : C, new()
    {
        public C Method_ReturnsC()
        {
            return new T();
        }
    }

    public class MemberClassWithStructConstraint<T>
        where T : struct
    {
        public dynamic Method_ReturnsDynamic(int x)
        {
            return x;
        }
    }

    public class MemberClassWithInterfaceConstraint<T>
        where T : I
    {
        public dynamic Method_ReturnsDynamic(int x, T v)
        {
            return default(T);
        }
    }
    #endregion
}

namespace ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass001.genclass001
{
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclassregmeth.genclassregmeth;
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass001.genclass001;
    // <Title> Tests generic class regular method used in regular method body.</Title>
    // <Description>
    // </Description>
    // <RelatedBugs></RelatedBugs>
    //<Expects Status=success></Expects>
    //
    using System;

    public class Test
    {
        [Fact]
        public static void DynamicCSharpRunTest()
        {
            Assert.Equal(0, MainMethod());
        }

        public static int MainMethod()
        {
            Test t = new Test();
            if (t.TestMethod() == true)
                return 1;
            return 0;
        }

        public bool TestMethod()
        {
            dynamic mc = new MemberClass<string>();
            return (bool)mc.Method_ReturnBool();
        }
    }
    //
}

namespace ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass002.genclass002
{
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclassregmeth.genclassregmeth;
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass002.genclass002;
    // <Title> Tests generic class regular method used in argements of method invocation.</Title>
    // <Description>
    // </Description>
    // <RelatedBugs></RelatedBugs>
    //<Expects Status=success></Expects>
    //
    using System;

    public class Test
    {
        [Fact]
        public static void DynamicCSharpRunTest()
        {
            Assert.Equal(0, MainMethod());
        }

        public static int MainMethod()
        {
            Test t = new Test();
            dynamic mc1 = new MemberClass<int>();
            int result1 = t.TestMethod((int)mc1.Method_ReturnsT());
            dynamic mc2 = new MemberClass<string>();
            int result2 = Test.TestMethod((string)mc2.Method_ReturnsT());
            if (result1 == 0 && result2 == 0)
                return 0;
            else
                return 1;
        }

        public int TestMethod(int i)
        {
            if (i == default(int))
            {
                return 0;
            }
            else
            {
                return 1;
            }
        }

        public static int TestMethod(string s)
        {
            if (s == default(string))
            {
                return 0;
            }
            else
            {
                return 1;
            }
        }
    }
    //
}

namespace ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass003.genclass003
{
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclassregmeth.genclassregmeth;
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass003.genclass003;
    // <Title> Tests generic class regular method used in static variable.</Title>
    // <Description>
    // </Description>
    // <RelatedBugs></RelatedBugs>
    //<Expects Status=success></Expects>
    //
    using System;

    public class Test
    {
        private static dynamic s_mc = new MemberClass<string>();
        private static float s_loc = (float)s_mc.Method_ReturnsFloat(null, 1);
        [Fact]
        public static void DynamicCSharpRunTest()
        {
            Assert.Equal(0, MainMethod());
        }

        public static int MainMethod()
        {
            if (s_loc != 3.4f)
                return 1;
            return 0;
        }
    }
    //
}

namespace ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass005.genclass005
{
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclassregmeth.genclassregmeth;
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass005.genclass005;
    // <Title> Tests generic class regular method used in unsafe.</Title>
    // <Description>
    // </Description>
    // <RelatedBugs></RelatedBugs>
    //<Expects Status=success></Expects>
    //
    //using System;
    //[TestClass]public class Test
    //{
    //[Test][Priority(Priority.Priority1)]public void DynamicCSharpRunTest(){Assert.AreEqual(0, MainMethod());} public static unsafe int MainMethod()
    //{
    //dynamic dy = new MemberClass<int>();
    //int value = 1;
    //int* valuePtr = &value;
    //int result = dy.Method_ReturnsT(out *valuePtr);
    //if (result == 0 && value == 0)
    //return 0;
    //return 1;
    //}
    //}
    //
}

namespace ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass006.genclass006
{
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclassregmeth.genclassregmeth;
    using ManagedTests.DynamicCSharp.Conformance.dynamic.context.method.regmethod.genclass.genclass006.genclass006;
    // <Title> Tests generic class regular method used in generic method body.</Title>
    // <Description>
    // </Description>
    // <RelatedBugs></RelatedBugs>
    //<Expects Status=success></Expects>
    //
    using System;

    public class Test
    {

        public static void DynamicCSharpRunTest()
        {

Answer: Assert.Equal(0, MainMethod());

<think>
In the previous test files within this suite, the DynamicCSharpRunTest method simply asserts that a helper method (usually MainMethod) returns 0, indicating success. The pattern is consistent across the earlier namespaces. Since this file follows the same structure, the next line inside DynamicCSharpRunTest should be the assertion calling MainMethod, i.e., Assert.Equal(0, MainMethod());
</think>
Assert.Equal(0, MainMethod());


Context:
# -*- coding: utf-8 -*-
#
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Unit tests."""

import mock
import pytest

from google.rpc import status_pb2

from google.cloud import bigtable_admin_v2
from google.cloud.bigtable_admin_v2 import enums
from google.cloud.bigtable_admin_v2.proto import bigtable_instance_admin_pb2
from google.cloud.bigtable_admin_v2.proto import instance_pb2
from google.iam.v1 import iam_policy_pb2
from google.iam.v1 import policy_pb2
from google.longrunning import operations_pb2
from google.protobuf import empty_pb2
from google.protobuf import field_mask_pb2

class MultiCallableStub(object):
    """Stub for the grpc.UnaryUnaryMultiCallable interface."""

    def __init__(self, method, channel_stub):
        self.method = method
        self.channel_stub = channel_stub

    def __call__(self, request, timeout=None, metadata=None, credentials=None):
        self.channel_stub.requests.append((self.method, request))

        response = None
        if self.channel_stub.responses:
            response = self.channel_stub.responses.pop()

        if isinstance(response, Exception):
            raise response

        if response:
            return response

class ChannelStub(object):
    """Stub for the grpc.Channel interface."""

    def __init__(self, responses=[]):
        self.responses = responses
        self.requests = []

    def unary_unary(self,
                    method,
                    request_serializer=None,
                    response_deserializer=None):
        return MultiCallableStub(method, self)

class CustomException(Exception):
    pass

class TestBigtableInstanceAdminClient(object):
    def test_create_instance(self):
        # Setup Expected Response
        name = 'name3373707'
        display_name = 'displayName1615086568'
        expected_response = {'name': name, 'display_name': display_name}
        expected_response = instance_pb2.Instance(**expected_response)
        operation = operations_pb2.Operation(
            name='operations/test_create_instance', done=True)
        operation.response.Pack(expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup Request
        parent = client.project_path('[PROJECT]')
        instance_id = 'instanceId-2101995259'
        instance = {}
        clusters = {}

        response = client.create_instance(parent, instance_id, instance,
                                          clusters)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = bigtable_instance_admin_pb2.CreateInstanceRequest(
            parent=parent,
            instance_id=instance_id,
            instance=instance,
            clusters=clusters)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request

    def test_create_instance_exception(self):
        # Setup Response
        error = status_pb2.Status()
        operation = operations_pb2.Operation(
            name='operations/test_create_instance_exception', done=True)
        operation.error.CopyFrom(error)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup Request
        parent = client.project_path('[PROJECT]')
        instance_id = 'instanceId-2101995259'
        instance = {}
        clusters = {}

        response = client.create_instance(parent, instance_id, instance,
                                          clusters)
        exception = response.exception()
        assert exception.errors[0] == error

    def test_get_instance(self):
        # Setup Expected Response
        name_2 = 'name2-1052831874'
        display_name = 'displayName1615086568'
        expected_response = {'name': name_2, 'display_name': display_name}
        expected_response = instance_pb2.Instance(**expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[expected_response])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup Request
        name = client.instance_path('[PROJECT]', '[INSTANCE]')

        response = client.get_instance(name)
        assert expected_response == response

        assert len(channel.requests) == 1
        expected_request = bigtable_instance_admin_pb2.GetInstanceRequest(
            name=name)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request

    def test_get_instance_exception(self):
        # Mock the API response
        channel = ChannelStub(responses=[CustomException()])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup request
        name = client.instance_path('[PROJECT]', '[INSTANCE]')

        with pytest.raises(CustomException):
            client.get_instance(name)

    def test_list_instances(self):
        # Setup Expected Response
        next_page_token = 'nextPageToken-1530815211'
        expected_response = {'next_page_token': next_page_token}
        expected_response = bigtable_instance_admin_pb2.ListInstancesResponse(
            **expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[expected_response])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup Request
        parent = client.project_path('[PROJECT]')

        response = client.list_instances(parent)
        assert expected_response == response

        assert len(channel.requests) == 1
        expected_request = bigtable_instance_admin_pb2.ListInstancesRequest(
            parent=parent)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request

    def test_list_instances_exception(self):
        # Mock the API response
        channel = ChannelStub(responses=[CustomException()])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup request
        parent = client.project_path('[PROJECT]')

        with pytest.raises(CustomException):
            client.list_instances(parent)

    def test_update_instance(self):
        # Setup Expected Response
        name_2 = 'name2-1052831874'
        display_name_2 = 'displayName21615000987'
        expected_response = {'name': name_2, 'display_name': display_name_2}
        expected_response = instance_pb2.Instance(**expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[expected_response])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup Request
        name = client.instance_path('[PROJECT]', '[INSTANCE]')
        display_name = 'displayName1615086568'
        type_ = enums.Instance.Type.TYPE_UNSPECIFIED
        labels = {}

        response = client.update_instance(name, display_name, type_, labels)
        assert expected_response == response

        assert len(channel.requests) == 1
        expected_request = instance_pb2.Instance(
            name=name, display_name=display_name, type=type_, labels=labels)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request

    def test_update_instance_exception(self):
        # Mock the API response
        channel = ChannelStub(responses=[CustomException()])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup request
        name = client.instance_path('[PROJECT]', '[INSTANCE]')
        display_name = 'displayName1615086568'
        type_ = enums.Instance.Type.TYPE_UNSPECIFIED
        labels = {}

        with pytest.raises(CustomException):
            client.update_instance(name, display_name, type_, labels)

    def test_partial_update_instance(self):
        # Setup Expected Response
        name = 'name3373707'
        display_name = 'displayName1615086568'
        expected_response = {'name': name, 'display_name': display_name}
        expected_response = instance_pb2.Instance(**expected_response)
        operation = operations_pb2.Operation(
            name='operations/test_partial_update_instance', done=True)
        operation.response.Pack(expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup Request
        instance = {}
        update_mask = {}

        response = client.partial_update_instance(instance, update_mask)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = bigtable_instance_admin_pb2.PartialUpdateInstanceRequest(
            instance=instance, update_mask=update_mask)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request

    def test_partial_update_instance_exception(self):
        # Setup Response
        error = status_pb2.Status()
        operation = operations_pb2.Operation(
            name='operations/test_partial_update_instance_exception',
            done=True)
        operation.error.CopyFrom(error)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')
        with patch as create_channel:
            create_channel.return_value = channel
            client = bigtable_admin_v2.BigtableInstanceAdminClient()

        # Setup Request
        instance = {}
        update_mask = {}

        response = client.partial_update_instance(instance, update_mask)
        exception = response.exception()
        assert exception.errors[0] == error

    def test_delete_instance(self):
        channel = ChannelStub()
        patch = mock.patch('google.api_core.grpc_helpers.create_channel')

Answer: with patch as create_channel:

<think>
The test method is setting up a ChannelStub and a mock.patch for the gRPC channel creation, following the pattern used in previous test methods. After defining the patch, the next logical line is to enter the context manager with 'with patch as create_channel:' to apply the mock and configure the client.
</think>
with patch as create_channel:


Context:
/*
 * Copyright 2020 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/bigtable/v2/bigtable.proto

package com.google.bigtable.v2;

/**
 *
 *
 *

 * Request message for client connection keep-alive and warming.
 *

 *
 * Protobuf type {@code google.bigtable.v2.PingAndWarmRequest}
 */
public final class PingAndWarmRequest extends com.google.protobuf.GeneratedMessageV3
    implements
    // @@protoc_insertion_point(message_implements:google.bigtable.v2.PingAndWarmRequest)
    PingAndWarmRequestOrBuilder {
  private static final long serialVersionUID = 0L;
  // Use PingAndWarmRequest.newBuilder() to construct.
  private PingAndWarmRequest(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
  }

  private PingAndWarmRequest() {
    name_ = "";
    appProfileId_ = "";
  }

  @java.lang.Override
  @SuppressWarnings({"unused"})
  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
    return new PingAndWarmRequest();
  }

  @java.lang.Override
  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
    return this.unknownFields;
  }

  private PingAndWarmRequest(
      com.google.protobuf.CodedInputStream input,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    this();
    if (extensionRegistry == null) {
      throw new java.lang.NullPointerException();
    }
    com.google.protobuf.UnknownFieldSet.Builder unknownFields =
        com.google.protobuf.UnknownFieldSet.newBuilder();
    try {
      boolean done = false;
      while (!done) {
        int tag = input.readTag();
        switch (tag) {
          case 0:
            done = true;
            break;
          case 10:
            {
              java.lang.String s = input.readStringRequireUtf8();

              name_ = s;
              break;
            }
          case 18:
            {
              java.lang.String s = input.readStringRequireUtf8();

              appProfileId_ = s;
              break;
            }
          default:
            {
              if (!parseUnknownField(input, unknownFields, extensionRegistry, tag)) {
                done = true;
              }
              break;
            }
        }
      }
    } catch (com.google.protobuf.InvalidProtocolBufferException e) {
      throw e.setUnfinishedMessage(this);
    } catch (java.io.IOException e) {
      throw new com.google.protobuf.InvalidProtocolBufferException(e).setUnfinishedMessage(this);
    } finally {
      this.unknownFields = unknownFields.build();
      makeExtensionsImmutable();
    }
  }

  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    return com.google.bigtable.v2.BigtableProto
        .internal_static_google_bigtable_v2_PingAndWarmRequest_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return com.google.bigtable.v2.BigtableProto
        .internal_static_google_bigtable_v2_PingAndWarmRequest_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            com.google.bigtable.v2.PingAndWarmRequest.class,
            com.google.bigtable.v2.PingAndWarmRequest.Builder.class);
  }

  public static final int NAME_FIELD_NUMBER = 1;
  private volatile java.lang.Object name_;
  /**
   *
   *
   *

   * Required. The unique name of the instance to check permissions for as well as
   * respond. Values are of the form `projects/<project>/instances/<instance>`.
   *

   *
   *
   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
   *
   *
   * @return The name.
   */
  @java.lang.Override
  public java.lang.String getName() {
    java.lang.Object ref = name_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      name_ = s;
      return s;
    }
  }
  /**
   *
   *
   *

   * Required. The unique name of the instance to check permissions for as well as
   * respond. Values are of the form `projects/<project>/instances/<instance>`.
   *

   *
   *
   * string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
   *
   *
   * @return The bytes for name.
   */
  @java.lang.Override
  public com.google.protobuf.ByteString getNameBytes() {
    java.lang.Object ref = name_;
    if (ref instanceof java.lang.String) {
      com.google.protobuf.ByteString b =
          com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
      name_ = b;
      return b;
    } else {
      return (com.google.protobuf.ByteString) ref;
    }
  }

  public static final int APP_PROFILE_ID_FIELD_NUMBER = 2;
  private volatile java.lang.Object appProfileId_;
  /**
   *
   *
   *

   * This value specifies routing for replication. If not specified, the
   * "default" application profile will be used.
   *

   *
   * string app_profile_id = 2;
   *
   * @return The appProfileId.
   */
  @java.lang.Override
  public java.lang.String getAppProfileId() {
    java.lang.Object ref = appProfileId_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {

Answer: com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;

<think>
The method getAppProfileId() follows the standard protobuf generated pattern for string fields: it checks if the stored object is a String, otherwise it treats it as a ByteString, converts it to UTF-8 String, caches it, and returns it. The next line after the opening else brace should be the declaration and casting of the ByteString variable.
</think>
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;


Context:
#  Copyright 2016 Intel Corporation
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
"""Full Correlation Matrix Analysis (FCMA)

Correlation-based voxel selection
"""

# Authors: Yida Wang
# (Intel Labs), 2016

import numpy as np
import time
from mpi4py import MPI
from scipy.stats.mstats import zscore
from sklearn import model_selection
import sklearn
from . import fcma_extension  # type: ignore
from . import cython_blas as blas  # type: ignore
from ..utils.utils import usable_cpu_count
import logging
import multiprocessing

logger = logging.getLogger(__name__)

__all__ = [
    "VoxelSelector",
]

def _cross_validation_for_one_voxel(clf, vid, num_folds, subject_data, labels):
    """Score classifier on data using cross validation."""
    # no shuffling in cv
    skf = model_selection.StratifiedKFold(n_splits=num_folds,
                                          shuffle=False)
    scores = model_selection.cross_val_score(clf, subject_data,
                                             y=labels,
                                             cv=skf, n_jobs=1)
    logger.debug(
        'cross validation for voxel %d is done' %
        vid
    )
    return (vid, scores.mean())

class VoxelSelector:
    """Correlation-based voxel selection component of FCMA.

    Parameters
    ----------

    labels: list of 1D array
        the condition labels of the epochs
        len(labels) labels equals the number of epochs

    epochs_per_subj: int
        The number of epochs of each subject

    num_folds: int
        The number of folds to be conducted in the cross validation

    raw_data: list of 2D array in shape [epoch length, nVoxels]
        Assumption: 1. all activity data contains the same number of voxels
                    2. the activity data has been z-scored,
                       ready to compute correlation as matrix multiplication
                    3. all subjects have the same number of epochs
                    4. epochs belonging to the same subject are adjacent
                       in the list
                    5. if MPI jobs are running on multiple nodes, the path
                       used must be on a filesystem shared by all nodes

    raw_data2: Optional, list of 2D array in shape [epoch length, nVoxels]
        raw_data2 shares the data structure of the assumptions of raw_data
        If raw_data2 is None, the correlation will be computed as
        raw_data by raw_data.
        If raw_data2 is specified, len(raw_data) MUST equal len(raw_data2),
        the correlation will be computed as raw_data by raw_data2.

    voxel_unit: int, default 64
        The number of voxels assigned to a worker each time

    process_num: Optional[int]
        The maximum number of processes used in cross validation.
        If None, the number of processes will equal
        the number of available hardware threads, considering cpusets
        restrictions.
        If 0, cross validation will not use python multiprocessing.

    master_rank: int, default 0
        The process which serves as the master
    """
    def __init__(self,
                 labels,
                 epochs_per_subj,
                 num_folds,
                 raw_data,
                 raw_data2=None,
                 voxel_unit=64,
                 process_num=4,
                 master_rank=0):
        self.labels = labels
        self.epochs_per_subj = epochs_per_subj
        self.num_folds = num_folds
        self.raw_data = raw_data
        self.num_voxels = raw_data[0].shape[1]
        self.raw_data2 = raw_data2
        self.num_voxels2 = raw_data2[0].shape[1] \
            if raw_data2 is not None else self.num_voxels
        self.voxel_unit = voxel_unit
        usable_cpus = usable_cpu_count()
        if process_num is None:
            self.process_num = usable_cpus
        else:
            self.process_num = np.min((process_num, usable_cpus))
        if self.process_num == 0:
            self.use_multiprocessing = False
        else:
            self.use_multiprocessing = True
        self.master_rank = master_rank
        if self.raw_data2 is not None \
                and len(self.raw_data) != len(self.raw_data2):
            raise ValueError('The raw data lists must have the same number '
                             'of elements for computing the correlations '
                             'element by element')
        if self.num_voxels == 0 or self.num_voxels2 == 0:
            raise ValueError('Zero processed voxels')
        if MPI.COMM_WORLD.Get_size() == 1:
            raise RuntimeError('one process cannot run the '
                               'master-worker model')
        if self.master_rank >= MPI.COMM_WORLD.Get_size():
            logger.warn('Master rank exceeds the number of '
                        'launched processes, set to 0')
            self.master_rank = 0

    # tags for MPI messages
    _WORKTAG = 0
    _TERMINATETAG = 1

    def run(self, clf):
        """Run correlation-based voxel selection in master-worker model.

        Sort the voxels based on the cross-validation accuracy
        of their correlation vectors

        Parameters
        ----------
        clf: classification function
            the classifier to be used in cross validation

        Returns
        -------
        results: list of tuple (voxel_id, accuracy)
            the accuracy numbers of all voxels, in accuracy descending order
            the length of array equals the number of voxels
        """
        rank = MPI.COMM_WORLD.Get_rank()

Answer: if rank == self.master_rank:

<think>
Within the run method, after obtaining the MPI rank, the code will branch into master and worker behavior. The next logical line is the conditional checking if the current process is the master, i.e., comparing rank to self.master_rank.
</think>
if rank == self.master_rank:


Context:
package org.hisp.dhis.analytics;

/*
 * Copyright (c) 2004-2016, University of Oslo
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 * Redistributions of source code must retain the above copyright notice, this
 * list of conditions and the following disclaimer.
 *
 * Redistributions in binary form must reproduce the above copyright notice,
 * this list of conditions and the following disclaimer in the documentation
 * and/or other materials provided with the distribution.
 * Neither the name of the HISP project nor the names of its contributors may
 * be used to endorse or promote products derived from this software without
 * specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */

import org.hisp.dhis.DhisSpringTest;
import org.junit.Test;

import com.google.common.collect.Lists;

import org.hisp.dhis.common.BaseDimensionalObject;
import org.hisp.dhis.common.DataDimensionItemType;
import org.hisp.dhis.common.DimensionType;
import org.hisp.dhis.common.DimensionalItemObject;
import org.hisp.dhis.common.DimensionalObject;
import org.hisp.dhis.common.DisplayProperty;
import org.hisp.dhis.common.Grid;
import org.hisp.dhis.common.GridHeader;
import org.hisp.dhis.common.ValueType;
import org.hisp.dhis.dataelement.DataElement;
import org.hisp.dhis.dataelement.DataElementCategory;
import org.hisp.dhis.dataelement.DataElementCategoryCombo;
import org.hisp.dhis.dataelement.DataElementCategoryOptionCombo;
import org.hisp.dhis.dataelement.DataElementOperand;
import org.hisp.dhis.dataset.DataSet;
import org.hisp.dhis.dxf2.datavalueset.DataValueSet;
import org.hisp.dhis.indicator.Indicator;
import org.hisp.dhis.indicator.IndicatorType;
import org.hisp.dhis.organisationunit.OrganisationUnit;
import org.hisp.dhis.program.Program;
import org.hisp.dhis.program.ProgramDataElement;
import org.hisp.dhis.program.ProgramIndicator;
import org.hisp.dhis.system.grid.ListGrid;

import java.util.HashMap;
import java.util.List;
import java.util.Map;

import static org.junit.Assert.*;
import static org.hisp.dhis.analytics.DataQueryParams.VALUE_HEADER_NAME;
import static org.hisp.dhis.analytics.DataQueryParams.VALUE_ID;
import static org.hisp.dhis.common.DimensionalObject.DIMENSION_SEP;
import static org.hisp.dhis.common.DimensionalObject.DATA_X_DIM_ID;

/**
 * @author Lars Helge Overland
 */
public class AnalyticsUtilsTest
    extends DhisSpringTest
{
    @Test
    public void testGetByDataDimensionType()
    {
        Program prA = createProgram( 'A' );

        DataElement deA = createDataElement( 'A', new DataElementCategoryCombo() );
        DataElement deB = createDataElement( 'B', new DataElementCategoryCombo() );
        ProgramDataElement pdeA = new ProgramDataElement( prA, deA );
        ProgramDataElement pdeB = new ProgramDataElement( prA, deB );
        ProgramIndicator piA = createProgramIndicator( 'A', prA, null, null );

        List<DimensionalItemObject> list = Lists.newArrayList( deA, deB, pdeA, pdeB, piA );

        assertEquals( Lists.newArrayList( deA, deB ), AnalyticsUtils.getByDataDimensionItemType( DataDimensionItemType.DATA_ELEMENT, list ) );
        assertEquals( Lists.newArrayList( pdeA, pdeB ), AnalyticsUtils.getByDataDimensionItemType( DataDimensionItemType.PROGRAM_DATA_ELEMENT, list ) );
        assertEquals( Lists.newArrayList( piA ), AnalyticsUtils.getByDataDimensionItemType( DataDimensionItemType.PROGRAM_INDICATOR, list ) );
        assertEquals( Lists.newArrayList(), AnalyticsUtils.getByDataDimensionItemType( DataDimensionItemType.PROGRAM_ATTRIBUTE, list ) );
    }

    @Test
    public void testConvertDxToOperand()
    {
        Map<String, Double> map = new HashMap<>();
        map.put( "GauDLAiXPKT-kC1OT9Q1n1j-R9U8q7X1aJG", 10d );
        map.put( "YkRvCLedQa4-h1dJ9W4dWor-Zrd4DAf8M99", 11d );
        map.put( "PcfRp1HETO8-zqXKIEycBck-KBJBZopYMPV", 12d );

        Map<String, Double> convertedMap = AnalyticsUtils.convertDxToOperand( map );

        assertTrue( convertedMap.containsKey( "GauDLAiXPKT.kC1OT9Q1n1j-R9U8q7X1aJG" ) );
        assertTrue( convertedMap.containsKey( "YkRvCLedQa4.h1dJ9W4dWor-Zrd4DAf8M99" ) );
        assertTrue( convertedMap.containsKey( "PcfRp1HETO8.zqXKIEycBck-KBJBZopYMPV" ) );
    }

    @Test
    public void testGetRoundedValueObject()
    {
        DataQueryParams paramsA = DataQueryParams.newBuilder().build();
        DataQueryParams paramsB = DataQueryParams.newBuilder().withSkipRounding( true ).build();

        assertEquals( null, AnalyticsUtils.getRoundedValueObject( paramsA, null ) );
        assertEquals( "Car", AnalyticsUtils.getRoundedValueObject( paramsA, "Car" ) );
        assertEquals( 3d, AnalyticsUtils.getRoundedValueObject( paramsA, 3d ) );
        assertEquals( 3.1, (Double) AnalyticsUtils.getRoundedValueObject( paramsA, 3.123 ), 0.01 );
        assertEquals( 3.123, (Double) AnalyticsUtils.getRoundedValueObject( paramsB, 3.123 ), 0.01 );
    }

    @Test
    public void testGetRoundedValueDouble()
    {
        DataQueryParams paramsA = DataQueryParams.newBuilder().build();
        DataQueryParams paramsB = DataQueryParams.newBuilder().withSkipRounding( true ).build();

        assertEquals( null, AnalyticsUtils.getRoundedValue( paramsA, null, null ) );
        assertEquals( 3d, AnalyticsUtils.getRoundedValue( paramsA, null, 3d ), 0.01 );
        assertEquals( 3.1, AnalyticsUtils.getRoundedValue( paramsA, null, 3.123 ), 0.01 );

Answer: assertEquals( 3.1, AnalyticsUtils.getRoundedValue( paramsA, 1, 3.123 ), 0.01 );

<think>
The test method testGetRoundedValueDouble is checking rounding behavior. It has already asserted null handling, exact value, and rounding for paramsA. The next logical assertion mirrors the earlier testGetRoundedValueObject, verifying that when skipRounding is true (paramsB), the original double value is returned unchanged. Therefore the next line should assert that AnalyticsUtils.getRoundedValue with paramsB returns 3.123.
</think>
assertEquals( 3.123, AnalyticsUtils.getRoundedValue( paramsB, null, 3.123 ), 0.01 );


Context:
// Copyright 2016 Google Inc. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

using UnityEngine;
using UnityEngine.Audio;
using System.Collections;

#pragma warning disable 0618 // Ignore GvrAudio* deprecation

/// GVR soundfield component that allows playback of first-order ambisonic recordings. The audio
/// sample should be in Ambix (ACN-SN3D) format.
#if UNITY_2017_1_OR_NEWER
[System.Obsolete("Please upgrade to Resonance Audio (https://developers.google.com/resonance-audio/migrate).")]
#endif  // UNITY_2017_1_OR_NEWER
[AddComponentMenu("GoogleVR/Audio/GvrAudioSoundfield")]
public class GvrAudioSoundfield : MonoBehaviour {
  /// Denotes whether the room effects should be bypassed.
  public bool bypassRoomEffects = true;

  /// Input gain in decibels.
  public float gainDb = 0.0f;

  /// Play source on awake.
  public bool playOnAwake = true;

  /// The default AudioClip to play.
  public AudioClip clip0102 {
    get { return soundfieldClip0102; }
    set {
      soundfieldClip0102 = value;
      if (audioSources != null && audioSources.Length > 0) {
        audioSources[0].clip = soundfieldClip0102;
      }
    }
  }
  [SerializeField]
  private AudioClip soundfieldClip0102 = null;

  public AudioClip clip0304 {
    get { return soundfieldClip0304; }
    set {
      soundfieldClip0304 = value;
      if (audioSources != null && audioSources.Length > 0) {
        audioSources[1].clip = soundfieldClip0304;
      }
    }
  }
  [SerializeField]
  private AudioClip soundfieldClip0304 = null;

  /// Is the clip playing right now (Read Only)?
  public bool isPlaying {
    get {
      if(audioSources != null && audioSources.Length > 0) {
        return audioSources[0].isPlaying;
      }
      return false;
    }
  }

  /// Is the audio clip looping?
  public bool loop {
    get { return soundfieldLoop; }
    set {
      soundfieldLoop = value;
      if(audioSources != null) {
        for (int channelSet = 0; channelSet < audioSources.Length; ++channelSet) {
          audioSources[channelSet].loop = soundfieldLoop;
        }
      }
    }
  }
  [SerializeField]
  private bool soundfieldLoop = false;

  /// Un- / Mutes the soundfield. Mute sets the volume=0, Un-Mute restore the original volume.
  public bool mute {
    get { return soundfieldMute; }
    set {
      soundfieldMute = value;
      if(audioSources != null) {
        for (int channelSet = 0; channelSet < audioSources.Length; ++channelSet) {
          audioSources[channelSet].mute = soundfieldMute;
        }
      }
    }
  }
  [SerializeField]
  private bool soundfieldMute = false;

  /// The pitch of the audio source.
  public float pitch {
    get { return soundfieldPitch; }
    set {
      soundfieldPitch = value;
      if(audioSources != null) {
        for (int channelSet = 0; channelSet < audioSources.Length; ++channelSet) {
          audioSources[channelSet].pitch = soundfieldPitch;
        }
      }
    }
  }
  [SerializeField]
  [Range(-3.0f, 3.0f)]
  private float soundfieldPitch = 1.0f;

  /// Sets the priority of the soundfield.
  public int priority {
    get { return soundfieldPriority; }
    set {
      soundfieldPriority = value;
      if(audioSources != null) {
        for (int channelSet = 0; channelSet < audioSources.Length; ++channelSet) {
          audioSources[channelSet].priority = soundfieldPriority;
        }
      }
    }
  }
  [SerializeField]
  [Range(0, 256)]
  private int soundfieldPriority = 32;

  /// Sets how much this soundfield is affected by 3D spatialization calculations
  /// (attenuation, doppler).
  public float spatialBlend {
    get { return soundfieldSpatialBlend; }
    set {
      soundfieldSpatialBlend = value;
      if (audioSources != null) {
        for (int channelSet = 0; channelSet < audioSources.Length; ++channelSet) {
          audioSources[channelSet].spatialBlend = soundfieldSpatialBlend;
        }
      }
    }
  }
  [SerializeField]
  [Range(0.0f, 1.0f)]
  private float soundfieldSpatialBlend = 0.0f;

  /// Sets the Doppler scale for this soundfield.
  public float dopplerLevel {
    get { return soundfieldDopplerLevel; }
    set {
      soundfieldDopplerLevel = value;
      if(audioSources != null) {

Answer: for (int channelSet = 0; channelSet < audioSources.Length; ++channelSet) {

<think>
The setter for dopplerLevel follows the same pattern as other property setters (pitch, priority, spatialBlend). After checking audioSources is not null, the code iterates over each AudioSource and assigns the dopplerLevel. Therefore the next line is the start of that for-loop.
</think>
for (int channelSet = 0; channelSet < audioSources.Length; ++channelSet) {


Context:
/* Copyright (C) 2004-2007  Egon Willighagen <egonw@users.sf.net>
 *
 * Contact: cdk-devel@lists.sourceforge.net
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public License
 * as published by the Free Software Foundation; either version 2.1
 * of the License, or (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with this program; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
 */

using Microsoft.VisualStudio.TestTools.UnitTesting;
using NCDK.Aromaticities;
using NCDK.Common.Base;
using NCDK.Graphs;
using NCDK.IO;
using NCDK.Isomorphisms;
using NCDK.Tools.Manipulator;
using System;
using System.Diagnostics;
using System.Linq;

namespace NCDK.Smiles.SMARTS.Parser
{
    /// <summary>
    /// Unit test routines for the SMARTS substructure search.
    /// </summary>
    // @author Dazhi Jiao
    // @cdk.module test-smarts
    // @cdk.require ant1.6
    [TestClass()]
    public class SMARTSSearchTest : CDKTestCase
    {
        private UniversalIsomorphismTester uiTester = new UniversalIsomorphismTester();

        internal static IAtomContainer CreateFromSmiles(string smiles)
        {
            return CreateFromSmiles(smiles, false);
        }

        internal static IAtomContainer SmilesAtomTyped(string smiles)
        {
            IAtomContainer molecule = CreateFromSmiles(smiles, false);
            AtomContainerManipulator.PercieveAtomTypesAndConfigureAtoms(molecule);
            return molecule;
        }

        internal static IAtomContainer CreateFromSmiles(string smiles, bool perserveAromaticity)
        {
            var sp = new SmilesParser(CDK.Builder, !perserveAromaticity);
            return sp.ParseSmiles(smiles);
        }

        internal static SMARTSQueryTool CreateFromSmarts(string smarts)
        {
            SMARTSQueryTool sqt = new SMARTSQueryTool(smarts);
            return sqt;
        }

        internal static int[] Match(SMARTSQueryTool sqt, IAtomContainer m)
        {
            bool status = sqt.Matches(m);
            if (status)
            {
                return new int[] { sqt.MatchesCount, sqt.GetUniqueMatchingAtoms().Count() };
            }
            else
            {
                return new int[] { 0, 0 };
            }
        }

        internal static int[] Match(string smarts, string smiles)
        {
            return Match(CreateFromSmarts(smarts), CreateFromSmiles(smiles));
        }

        [TestMethod()]
        public void TestMoleculeFromSDF()
        {
            var filename = "cnssmarts.sdf";
            var ins = ResourceLoader.GetAsStream(GetType(), filename);
            DefaultChemObjectReader reader = new MDLV2000Reader(ins);
            var content = reader.Read(CDK.Builder.NewChemFile());
            var cList = ChemFileManipulator.GetAllAtomContainers(content).ToReadOnlyList();
            IAtomContainer atomContainer = cList[0];

            SMARTSQueryTool sqt = new SMARTSQueryTool("[NX3;h1,h2,H1,H2;!$(NC=O)]");
            bool status = sqt.Matches(atomContainer);
            Assert.AreEqual(true, status);

            int nmatch = sqt.MatchesCount;
            int nqmatch = sqt.GetUniqueMatchingAtoms().Count();

            Assert.AreEqual(3, nmatch);
            Assert.AreEqual(3, nqmatch);

            sqt.Smarts = "[ND3]";
            status = sqt.Matches(atomContainer);
            Assert.AreEqual(false, status);
        }

        [TestMethod()]
        public void TestRGraphBond()
        {
            var query = SMARTSParser.Parse("CC=O");
            Debug.WriteLine("Query c:c: " + query.ToString());
            var sp = CDK.SmilesParser;

            var atomContainer = sp.ParseSmiles("CCC=O"); // benzene, aromatic
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));
        }

        [TestMethod()]
        public void TestAromaticBond()
        {
            var query = SMARTSParser.Parse("c:c");
            Debug.WriteLine("Query c:c: " + query.ToString());
            var sp = new SmilesParser(CDK.Builder, false);
            var atomContainer = sp.ParseSmiles("c1ccccc1"); // benzene, aromatic
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C1CCCCC1"); // hexane, not aromatic
            Assert.IsFalse(uiTester.IsSubgraph(atomContainer, query));
        }

        [TestMethod()]
        public void TestSingleBond()
        {
            var query = SMARTSParser.Parse("C-C");
            Debug.WriteLine("Query C-C: " + query.ToString());
            var sp = CDK.SmilesParser;

            var atomContainer = sp.ParseSmiles("CCC");
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C=C");
            Assert.IsFalse(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C#C");
            Assert.IsFalse(uiTester.IsSubgraph(atomContainer, query));
        }

        [TestMethod()]
        public void TestDoubleBond()
        {
            var query = SMARTSParser.Parse("C=C");
            Debug.WriteLine("Query C=C: " + query.ToString());
            var sp = CDK.SmilesParser;

            var atomContainer = sp.ParseSmiles("CCC");
            Assert.IsFalse(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C=C");
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C#C");
            Assert.IsFalse(uiTester.IsSubgraph(atomContainer, query));
        }

        [TestMethod()]
        public void TestTripleBond()
        {
            var query = SMARTSParser.Parse("C#C");
            Debug.WriteLine("Query C#C: " + query.ToString());
            var sp = CDK.SmilesParser;

            var atomContainer = sp.ParseSmiles("CCC");
            Assert.IsFalse(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C=C");
            Assert.IsFalse(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C#C");
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));
        }

        [TestMethod()]
        public void TestAnyOrderBond()
        {
            var query = SMARTSParser.Parse("C~C");
            Debug.WriteLine("Query C~C: " + query.ToString());
            var sp = CDK.SmilesParser;

            var atomContainer = sp.ParseSmiles("CCC");
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C=C");
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));

            atomContainer = sp.ParseSmiles("C#C");
            Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));
        }

        [TestMethod()]
        public void TestAnyAtom()
        {
            var query = SMARTSParser.Parse("C*C");
            Debug.WriteLine("Query C*C: " + query.ToString());
            var sp = CDK.SmilesParser;

            var atomContainer = sp.ParseSmiles("CCC");

Answer: Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));

<think>
In the TestAnyAtom method, after creating the query and parsing a SMILES string into atomContainer, the pattern follows previous tests: they assert whether the subgraph match holds. For the any‑atom query "C*C" the first test uses "CCC" which should match, so the next line is an Assert.IsTrue checking the subgraph.
</think>
Assert.IsTrue(uiTester.IsSubgraph(atomContainer, query));


Context:
/* Generated SBE (Simple Binary Encoding) message codec */

using System;
using Adaptive.SimpleBinaryEncoding;

namespace Adaptive.SimpleBinaryEncoding.Examples.Generated
{
    public class Car
    {
    public const ushort TemplateId = (ushort)1;
    public const byte TemplateVersion = (byte)0;
    public const ushort BlockLength = (ushort)45;
    public const string SematicType = "";

    private readonly Car _parentMessage;
    private DirectBuffer _buffer;
    private int _offset;
    private int _limit;
    private int _actingBlockLength;
    private int _actingVersion;

    public int Offset { get { return _offset; } }

    public Car()
    {
        _parentMessage = this;
    }

    public void WrapForEncode(DirectBuffer buffer, int offset)
    {
        _buffer = buffer;
        _offset = offset;
        _actingBlockLength = BlockLength;
        _actingVersion = TemplateVersion;
        Limit = offset + _actingBlockLength;
    }

    public void WrapForDecode(DirectBuffer buffer, int offset,
                              int actingBlockLength, int actingVersion)
    {
        _buffer = buffer;
        _offset = offset;
        _actingBlockLength = actingBlockLength;
        _actingVersion = actingVersion;
        Limit = offset + _actingBlockLength;
    }

    public int Size
    {
        get
        {
            return _limit - _offset;
        }
    }

    public int Limit
    {
        get
        {
            return _limit;
        }
        set
        {
            _buffer.CheckLimit(_limit);
            _limit = value;
        }
    }

    public const int SerialNumberSchemaId = 1;

    public static string SerialNumberMetaAttribute(MetaAttribute metaAttribute)
    {
        switch (metaAttribute)
        {
            case MetaAttribute.Epoch: return "unix";
            case MetaAttribute.TimeUnit: return "nanosecond";
            case MetaAttribute.SemanticType: return "";
        }

        return "";
    }

    public const ulong SerialNumberNullValue = 0x8000000000000000UL;

    public const ulong SerialNumberMinValue = 0x0UL;

    public const ulong SerialNumberMaxValue = 0x7fffffffffffffffUL;

    public ulong SerialNumber
    {
        get
        {
            return _buffer.Uint64GetLittleEndian(_offset + 0);
        }
        set
        {
            _buffer.Uint64PutLittleEndian(_offset + 0, value);
        }
    }

    public const int ModelYearSchemaId = 2;

    public static string ModelYearMetaAttribute(MetaAttribute metaAttribute)
    {
        switch (metaAttribute)
        {
            case MetaAttribute.Epoch: return "unix";
            case MetaAttribute.TimeUnit: return "nanosecond";
            case MetaAttribute.SemanticType: return "";
        }

        return "";
    }

    public const ushort ModelYearNullValue = (ushort)65535;

    public const ushort ModelYearMinValue = (ushort)0;

    public const ushort ModelYearMaxValue = (ushort)65534;

    public ushort ModelYear
    {
        get
        {
            return _buffer.Uint16GetLittleEndian(_offset + 8);
        }
        set
        {
            _buffer.Uint16PutLittleEndian(_offset + 8, value);
        }
    }

    public const int AvailableSchemaId = 3;

    public static string AvailableMetaAttribute(MetaAttribute metaAttribute)
    {
        switch (metaAttribute)
        {
            case MetaAttribute.Epoch: return "unix";
            case MetaAttribute.TimeUnit: return "nanosecond";
            case MetaAttribute.SemanticType: return "";
        }

        return "";
    }

    public BooleanType Available
    {
        get
        {
            return (BooleanType)_buffer.Uint8Get(_offset + 10);
        }
        set
        {
            _buffer.Uint8Put(_offset + 10, (byte)value);
        }
    }

    public const int CodeSchemaId = 4;

    public static string CodeMetaAttribute(MetaAttribute metaAttribute)
    {
        switch (metaAttribute)
        {
            case MetaAttribute.Epoch: return "unix";
            case MetaAttribute.TimeUnit: return "nanosecond";
            case MetaAttribute.SemanticType: return "";
        }

        return "";
    }

    public Model Code
    {
        get
        {
            return (Model)_buffer.CharGet(_offset + 11);
        }
        set
        {
            _buffer.CharPut(_offset + 11, (byte)value);
        }
    }

    public const int SomeNumbersSchemaId = 5;

    public static string SomeNumbersMetaAttribute(MetaAttribute metaAttribute)
    {
        switch (metaAttribute)
        {
            case MetaAttribute.Epoch: return "unix";
            case MetaAttribute.TimeUnit: return "nanosecond";
            case MetaAttribute.SemanticType: return "";
        }

        return "";
    }

    public const int SomeNumbersNullValue = -2147483648;

    public const int SomeNumbersMinValue = -2147483647;

    public const int SomeNumbersMaxValue = 2147483647;

    public const int SomeNumbersLength  = 5;

    public int GetSomeNumbers(int index)
    {
        if (index < 0 || index >= 5)
        {
            throw new IndexOutOfRangeException("index out of range: index=" + index);
        }

        return _buffer.Int32GetLittleEndian(_offset + 12 + (index * 4));
    }

    public void SetSomeNumbers(int index, int value)
    {
        if (index < 0 || index >= 5)
        {
            throw new IndexOutOfRangeException("index out of range: index=" + index);
        }

        _buffer.Int32PutLittleEndian(_offset + 12 + (index * 4), value);
    }

    public const int VehicleCodeSchemaId = 6;

    public static string VehicleCodeMetaAttribute(MetaAttribute metaAttribute)
    {
        switch (metaAttribute)
        {
            case MetaAttribute.Epoch: return "unix";
            case MetaAttribute.TimeUnit: return "nanosecond";
            case MetaAttribute.SemanticType: return "";
        }

        return "";
    }

    public const byte VehicleCodeNullValue = (byte)0;

    public const byte VehicleCodeMinValue = (byte)32;

    public const byte VehicleCodeMaxValue = (byte)126;

    public const int VehicleCodeLength  = 6;

Answer: public byte GetVehicleCode(int index)

<think>
The class defines fields with schema IDs, meta attributes, null/min/max values, and for array fields includes a Length constant followed by accessor methods. After declaring VehicleCodeLength = 6, the next logical line is the start of the getter method for the VehicleCode array, matching the pattern used for SomeNumbers. Therefore the next line should be the method signature for GetVehicleCode.
</think>
public byte GetVehicleCode(int index)


Context:
##################################################################
# Code for testing the variational Multi-Stage Generative Model. #
##################################################################

# basic python
import numpy as np
import numpy.random as npr
import cPickle

# theano business
import theano
import theano.tensor as T

# phil's sweetness
import utils
from NetLayers import relu_actfun, softplus_actfun, tanh_actfun
from InfNet import InfNet
from HydraNet import HydraNet
from GPSImputerWI import GPSImputerWI, load_gpsimputer_from_file
from load_data import load_udm, load_tfd, load_svhn_gray, load_binarized_mnist
from HelperFuncs import construct_masked_data, shift_and_scale_into_01, \
                        row_shuffle, to_fX

RESULT_PATH = "IMP_MNIST_GPSI_WI/"

###############################
###############################
## TEST GPS IMPUTER ON MNIST ##
###############################
###############################

def test_mnist(step_type='add',
               imp_steps=6,
               occ_dim=15,
               drop_prob=0.0):
    #########################################
    # Format the result tag more thoroughly #
    #########################################
    dp_int = int(100.0 * drop_prob)
    result_tag = "{}GPSI_OD{}_DP{}_IS{}_{}_NA".format(RESULT_PATH, occ_dim, dp_int, imp_steps, step_type)

    ##########################
    # Get some training data #
    ##########################
    rng = np.random.RandomState(1234)
    Xtr, Xva, Xte = load_binarized_mnist(data_path='./data/')
    Xtr = np.vstack((Xtr, Xva))
    Xva = Xte
    #del Xte
    tr_samples = Xtr.shape[0]
    va_samples = Xva.shape[0]

    ##########################
    # Get some training data #
    ##########################
    # rng = np.random.RandomState(1234)
    # dataset = 'data/mnist.pkl.gz'
    # datasets = load_udm(dataset, as_shared=False, zero_mean=False)
    # Xtr = datasets[0][0]
    # Xva = datasets[1][0]
    # Xte = datasets[2][0]
    # # Merge validation set and training set, and test on test set.
    # #Xtr = np.concatenate((Xtr, Xva), axis=0)
    # #Xva = Xte
    # Xtr = to_fX(shift_and_scale_into_01(Xtr))
    # Xva = to_fX(shift_and_scale_into_01(Xva))
    # tr_samples = Xtr.shape[0]
    # va_samples = Xva.shape[0]
    batch_size = 200
    batch_reps = 1
    all_pix_mean = np.mean(np.mean(Xtr, axis=1))
    data_mean = to_fX( all_pix_mean * np.ones((Xtr.shape[1],)) )

    ############################################################
    # Setup some parameters for the Iterative Refinement Model #
    ############################################################
    x_dim = Xtr.shape[1]
    s_dim = x_dim
    h_dim = 50
    z_dim = 100
    init_scale = 0.6

    x_in_sym = T.matrix('x_in_sym')
    x_out_sym = T.matrix('x_out_sym')
    x_mask_sym = T.matrix('x_mask_sym')

    ###############
    # p_h_given_x #
    ###############
    params = {}
    shared_config = [x_dim, 250]
    top_config = [shared_config[-1], h_dim]
    params['shared_config'] = shared_config
    params['mu_config'] = top_config
    params['sigma_config'] = top_config
    params['activation'] = tanh_actfun #relu_actfun
    params['init_scale'] = 'xg' #init_scale
    params['vis_drop'] = 0.0
    params['hid_drop'] = 0.0
    params['bias_noise'] = 0.0
    params['input_noise'] = 0.0
    params['build_theano_funcs'] = False
    p_h_given_x = InfNet(rng=rng, Xd=x_in_sym, \
            params=params, shared_param_dicts=None)
    p_h_given_x.init_biases(0.0)
    ################
    # p_s0_given_h #
    ################
    params = {}
    shared_config = [h_dim, 250]
    output_config = [s_dim, s_dim, s_dim]
    params['shared_config'] = shared_config
    params['output_config'] = output_config
    params['activation'] = tanh_actfun #relu_actfun
    params['init_scale'] = 'xg' #init_scale
    params['vis_drop'] = 0.0
    params['hid_drop'] = 0.0
    params['bias_noise'] = 0.0
    params['input_noise'] = 0.0
    params['build_theano_funcs'] = False
    p_s0_given_h = HydraNet(rng=rng, Xd=x_in_sym, \
            params=params, shared_param_dicts=None)
    p_s0_given_h.init_biases(0.0)
    #################
    # p_zi_given_xi #
    #################
    params = {}
    shared_config = [(x_dim + x_dim), 500, 500]
    top_config = [shared_config[-1], z_dim]
    params['shared_config'] = shared_config
    params['mu_config'] = top_config
    params['sigma_config'] = top_config
    params['activation'] = tanh_actfun #relu_actfun
    params['init_scale'] = init_scale
    params['vis_drop'] = 0.0
    params['hid_drop'] = 0.0
    params['bias_noise'] = 0.0
    params['input_noise'] = 0.0
    params['build_theano_funcs'] = False
    p_zi_given_xi = InfNet(rng=rng, Xd=x_in_sym, \
            params=params, shared_param_dicts=None)
    p_zi_given_xi.init_biases(0.0)
    ###################
    # p_sip1_given_zi #
    ###################
    params = {}
    shared_config = [z_dim, 500, 500]
    output_config = [s_dim, s_dim, s_dim]
    params['shared_config'] = shared_config
    params['output_config'] = output_config
    params['activation'] = tanh_actfun #relu_actfun
    params['init_scale'] = init_scale
    params['vis_drop'] = 0.0
    params['hid_drop'] = 0.0
    params['bias_noise'] = 0.0
    params['input_noise'] = 0.0
    params['build_theano_funcs'] = False
    p_sip1_given_zi = HydraNet(rng=rng, Xd=x_in_sym, \
            params=params, shared_param_dicts=None)
    p_sip1_given_zi.init_biases(0.0)
    ################
    # p_x_given_si #
    ################
    params = {}
    shared_config = [s_dim]
    output_config = [x_dim, x_dim]
    params['shared_config'] = shared_config
    params['output_config'] = output_config
    params['activation'] = tanh_actfun #relu_actfun
    params['init_scale'] = init_scale
    params['vis_drop'] = 0.0
    params['hid_drop'] = 0.0
    params['bias_noise'] = 0.0
    params['input_noise'] = 0.0
    params['build_theano_funcs'] = False
    p_x_given_si = HydraNet(rng=rng, Xd=x_in_sym, \
            params=params, shared_param_dicts=None)
    p_x_given_si.init_biases(0.0)
    ###############
    # q_h_given_x #
    ###############
    params = {}
    shared_config = [x_dim, 250]
    top_config = [shared_config[-1], h_dim]
    params['shared_config'] = shared_config
    params['mu_config'] = top_config
    params['sigma_config'] = top_config
    params['activation'] = tanh_actfun #relu_actfun
    params['init_scale'] = 'xg' #init_scale
    params['vis_drop'] = 0.0

Answer: params['hid_drop'] = 0.0

<think>
The code is defining the parameters for the q_h_given_x network. Following the pattern used for previous networks, after setting 'vis_drop' the next parameter to set is 'hid_drop' with a value of 0.0 before continuing with bias_noise, input_noise, etc.
</think>
params['hid_drop'] = 0.0


Context:
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

"""Gradient checker for any ops, graphs.

The gradient checker verifies numerically that an op/graph properly
computes the gradients
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np

from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import gradients
from tensorflow.python.platform import tf_logging as logging

def _product(t):
  if isinstance(t, int):
    return t
  else:
    y = 1
    for x in t:
      y *= x
    return y

def _compute_theoretical_jacobian(x, x_shape, x_data, dy, dy_shape, dx):
  """Computes the theoretical Jacobian for dy/dx.

  Computes the theoretical Jacobian using the ops generated by
  compute_gradient().

  Args:
    x: the tensor "x".
    x_shape: the dimensions of x as a tuple or an array of ints.
    x_data: a numpy parray as the input data for x
    dy: the tensor "dy".
    dy_shape: the dimensions of dy as a tuple or an array of ints.
    dx: Tensor or IndexedSlices representing dx

  Returns:
    A 2-d numpy array representing the Jacobian for dy/dx. It has "x_size" rows
    and "dy_size" columns where "x_size" is the number of elements in x and
    "dy_size" is the number of elements in dy.

  Raises:
    ValueError: If `dy` is empty but the gradient is nonzero.
  """
  # Complex vectors are treated as vectors of twice as many reals.
  if x.dtype.is_complex:
    x_shape = tuple(x_shape) + (2,)
  dy_factor = 2 if dy.dtype.is_complex else 1

  # To compute the jacobian, we treat x and y as one-dimensional vectors.
  x_size = _product(x_shape)
  x_val_size = _product(x_shape[1:])  # This is used for sparse gradients
  dy_size = _product(dy_shape) * dy_factor

  # Allocate 2-D Jacobian, with x dimensions smashed into the first
  # dimension and y dimensions smashed into the second.
  jacobian = np.zeros((x_size, dy_size),
                      dtype=x.dtype.real_dtype.as_numpy_dtype)

  # For each of the entry of dy, we set this to be 1 and
  # everything else to be 0 and compute the backprop -- this will give us one
  # one column of the Jacobian matrix.
  dy_data = np.zeros(dy_shape, dtype=dy.dtype.as_numpy_dtype)
  dy_data_flat = dy_data.ravel().view(dy.dtype.real_dtype.as_numpy_dtype)
  sess = ops.get_default_session()
  for col in range(dy_size):
    dy_data_flat[col] = 1
    if isinstance(dx, ops.IndexedSlices):
      backprop_indices, backprop_values = sess.run(
          [dx.indices, dx.values], feed_dict={x: x_data, dy: dy_data})
      for i, v in zip(backprop_indices, backprop_values):
        r_begin = i * x_val_size
        r_end = r_begin + x_val_size
        jacobian[r_begin:r_end, col] += v.flat
    else:
      assert isinstance(dx, ops.Tensor), "dx = " + str(dx)
      backprop = sess.run(dx, feed_dict={x: x_data, dy: dy_data})
      jacobian[:, col] = backprop.ravel().view(jacobian.dtype)
    dy_data_flat[col] = 0

  # If the output is empty, run the gradients at least once and make sure
  # they produce zeros.
  if not dy_size:
    backprop = sess.run(dx, feed_dict={x: x_data, dy: dy_data})
    if backprop.shape != x_data.shape:
      raise ValueError("Empty gradient has wrong shape: expected %s, got %s" %
                       (x_data.shape, backprop.shape))
    if np.any(backprop):
      raise ValueError("Empty tensor with nonzero gradients")

  logging.vlog(1, "Theoretical Jacobian =\n%s", jacobian)
  return jacobian

def _compute_numeric_jacobian(x, x_shape, x_data, y, y_shape, delta):
  """Computes the numeric Jacobian for dy/dx.

  Computes the numeric Jacobian by slightly perturbing the inputs and
  measuring the differences on the output.

  Args:
    x: the tensor "x".

Answer: x_shape: the dimensions of x as a tuple or an array of ints.

<think>
The function _compute_numeric_jacobian has a docstring that lists its arguments. The last line shown is the first argument description "x: the tensor \"x\"." The next line should continue the Args section, describing the next parameter x_shape, matching the style used in the previous function's docstring.
</think>
x_shape: the dimensions of x as a tuple or an array of ints.


Context:
# Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2018 ISIS Rutherford Appleton Laboratory UKRI,
#     NScD Oak Ridge National Laboratory, European Spallation Source
#     & Institut Laue - Langevin
# SPDX - License - Identifier: GPL - 3.0 +
#  This file is part of the mantid workbench.
#
#
from __future__ import absolute_import, absolute_import, division, division, print_function, print_function

import unittest

import qtpy
from qtpy import QtCore
from qtpy.QtCore import Qt

from mantid.py3compat.mock import Mock, call
from mantidqt.utils.testing.mocks.mock_mantid import AXIS_INDEX_FOR_HORIZONTAL, AXIS_INDEX_FOR_VERTICAL, MockMantidAxis, \
    MockMantidSymbol, MockMantidUnit, MockSpectrum, MockWorkspace
from mantidqt.utils.testing.mocks.mock_qt import MockQModelIndex
from mantidqt.widgets.workspacedisplay.matrix.table_view_model import MatrixWorkspaceTableViewModel, \
    MatrixWorkspaceTableViewModelType

def setup_common_for_test_data():
    """
    Common configuration of variables and mocking for testing
    MatrixWorkspaceDisplayTableViewModel's data and headerData functions
    """
    # Create some mock data for the mock workspace
    row = 2
    column = 2
    # make a workspace with 0s
    mock_data = [0] * 10
    # set one of them to be not 0
    mock_data[column] = 999
    model_type = MatrixWorkspaceTableViewModelType.x
    # pass onto the MockWorkspace so that it returns it when read from the TableViewModel
    ws = MockWorkspace(read_return=mock_data)
    ws.hasMaskedBins = Mock(return_value=True)
    ws.maskedBinsIndices = Mock(return_value=[column])
    model = MatrixWorkspaceTableViewModel(ws, model_type)
    # The model retrieves the spectrumInfo object, and our MockWorkspace has already given it
    # the MockSpectrumInfo, so all that needs to be done here is to set up the correct method Mocks
    model.ws_spectrum_info.hasDetectors = Mock(return_value=True)
    index = MockQModelIndex(row, column)
    return ws, model, row, index

class MatrixWorkspaceDisplayTableViewModelTest(unittest.TestCase):
    def test_correct_model_type(self):
        ws = MockWorkspace()
        model = MatrixWorkspaceTableViewModel(ws, MatrixWorkspaceTableViewModelType.x)
        self.assertEqual(model.type, MatrixWorkspaceTableViewModelType.x)

        model = MatrixWorkspaceTableViewModel(ws, MatrixWorkspaceTableViewModelType.y)
        self.assertEqual(model.type, MatrixWorkspaceTableViewModelType.y)

        model = MatrixWorkspaceTableViewModel(ws, MatrixWorkspaceTableViewModelType.e)
        self.assertEqual(model.type, MatrixWorkspaceTableViewModelType.e)

    def test_correct_cell_colors(self):
        ws = MockWorkspace()
        model = MatrixWorkspaceTableViewModel(ws, MatrixWorkspaceTableViewModelType.x)
        self.assertEqual((240, 240, 240, 255), model.masked_color.getRgb())
        self.assertEqual((255, 253, 209, 255), model.monitor_color.getRgb())

    def test_correct_relevant_data(self):
        ws = MockWorkspace()
        model = MatrixWorkspaceTableViewModel(ws, MatrixWorkspaceTableViewModelType.x)
        msg = "The function is not set correctly! The wrong data will be read."
        self.assertEqual(ws.readX, model.relevant_data, msg=msg)
        model = MatrixWorkspaceTableViewModel(ws, MatrixWorkspaceTableViewModelType.y)
        self.assertEqual(ws.readY, model.relevant_data, msg=msg)
        model = MatrixWorkspaceTableViewModel(ws, MatrixWorkspaceTableViewModelType.e)
        self.assertEqual(ws.readE, model.relevant_data, msg=msg)

    def test_invalid_model_type(self):
        ws = MockWorkspace()
        with self.assertRaises(AssertionError):
            MatrixWorkspaceTableViewModel(ws, "My Model Type")

    def test_data_display_role(self):
        # Create some mock data for the mock workspace
        row = 2
        column = 2
        # make a workspace with 0s
        mock_data = [0] * 10
        # set one of them to be not 0
        mock_data[column] = 999
        # pass onto the MockWorkspace so that it returns it when read from the TableViewModel
        self._check_correct_data_is_displayed(MatrixWorkspaceTableViewModelType.x, column, mock_data, row)
        self._check_correct_data_is_displayed(MatrixWorkspaceTableViewModelType.y, column, mock_data, row)
        self._check_correct_data_is_displayed(MatrixWorkspaceTableViewModelType.e, column, mock_data, row)

    def _check_correct_data_is_displayed(self, model_type, column, mock_data, row):
        ws = MockWorkspace(read_return=mock_data)
        model = MatrixWorkspaceTableViewModel(ws, model_type)
        index = MockQModelIndex(row, column)
        output = model.data(index, Qt.DisplayRole)
        model.relevant_data.assert_called_once_with(row)
        self.assertEqual(str(mock_data[column]), output)

    def test_row_and_column_count(self):
        ws = MockWorkspace()
        model_type = MatrixWorkspaceTableViewModelType.x
        MatrixWorkspaceTableViewModel(ws, model_type)
        # these are called when the TableViewModel is initialised
        ws.getNumberHistograms.assert_called_once_with()
        ws.blocksize.assert_called_once_with()

    def test_data_background_role_masked_row(self):
        ws, model, row, index = setup_common_for_test_data()

        model.ws_spectrum_info.isMasked = Mock(return_value=True)

        output = model.data(index, Qt.BackgroundRole)

        model.ws_spectrum_info.hasDetectors.assert_called_once_with(row)
        model.ws_spectrum_info.isMasked.assert_called_once_with(row)

        index.row.assert_called_once_with()
        self.assertFalse(index.column.called)

        self.assertEqual(model.masked_color, output)

        # Just do it a second time -> This time it's cached and should be read off the cache.
        # If it is not read off the cache the assert_called_once below will fail,
        # as the functions would be called a 2nd time
        output = model.data(index, Qt.BackgroundRole)

        model.ws_spectrum_info.hasDetectors.assert_called_once_with(row)
        model.ws_spectrum_info.isMasked.assert_called_once_with(row)
        self.assertEqual(model.masked_color, output)

        # assert that the row was called twice with no parameters
        self.assertEqual(2, index.row.call_count)
        self.assertFalse(index.column.called)

    def test_data_background_role_monitor_row(self):
        ws, model, row, index = setup_common_for_test_data()

        model.ws_spectrum_info.isMasked = Mock(return_value=False)
        model.ws_spectrum_info.isMonitor = Mock(return_value=True)

        output = model.data(index, Qt.BackgroundRole)

        model.ws_spectrum_info.hasDetectors.assert_called_with(row)
        model.ws_spectrum_info.isMasked.assert_called_once_with(row)
        model.ws_spectrum_info.isMonitor.assert_called_once_with(row)

        index.row.assert_called_once_with()
        self.assertFalse(index.column.called)

        self.assertEqual(model.monitor_color, output)

        # Just do it a second time -> This time it's cached and should be read off the cache.
        # If it is not read off the cache the assert_called_once below will fail,
        # as the functions would be called a 2nd time
        output = model.data(index, Qt.BackgroundRole)

        model.ws_spectrum_info.hasDetectors.assert_called_with(row)
        # assert that it has been called twice with the same parameters
        model.ws_spectrum_info.isMasked.assert_has_calls([call.do_work(row), call.do_work(row)])
        # only called once, as the 2nd time should have hit the cached monitor
        model.ws_spectrum_info.isMonitor.assert_called_once_with(row)
        self.assertEqual(model.monitor_color, output)

        # assert that the row was called twice with no parameters

Answer: self.assertEqual(2, index.row.call_count)

<think>
The test method is concluding by verifying that the mocked index object's row method was called twice, mirroring the earlier masked row test. The comment indicates this check, so the next line should be the assertion checking the call count of index.row.
</think>
self.assertEqual(2, index.row.call_count)


Context:
//----------------------------------------------------------------------------
// Anti-Grain Geometry - Version 2.4
// Copyright (C) 2002-2005 Maxim Shemanarev (http://www.antigrain.com)
//
// C# port by: Lars Brubaker
//                  larsbrubaker@gmail.com
// Copyright (C) 2007
//
// Permission to copy, use, modify, sell and distribute this software
// is granted provided this copyright notice appears in all copies.
// This software is provided "as is" without express or implied
// warranty, and with no claim as to its suitability for any purpose.
//
//----------------------------------------------------------------------------
// Contact: mcseem@antigrain.com
//          mcseemagg@yahoo.com
//          http://www.antigrain.com
//----------------------------------------------------------------------------
using System;
using System.Drawing;
using System.IO;
using System.Linq;
using System.Threading.Tasks;
using System.Timers;
using System.Windows.Forms;
using MatterHackers.VectorMath;

namespace MatterHackers.Agg.UI
{
	public abstract class WinformsSystemWindow : Form, IPlatformWindow
	{
		public static bool SingleWindowMode { get; set; } = false;

		public static bool EnableInputHook { get; set; } = true;

		public static bool ShowingSystemDialog { get; set; } = false;

		public static WinformsSystemWindow MainWindowsFormsWindow { get; private set; }

		public static Func<SystemWindow, FormInspector> InspectorCreator { get; set; }

		private static System.Timers.Timer idleCallBackTimer = null;

		private static bool processingOnIdle = false;

		private static readonly object SingleInvokeLock = new object();

		protected WinformsEventSink EventSink;

		private SystemWindow _systemWindow;
		private int drawCount = 0;
		private int onPaintCount;
		private bool enableIdleProcessing;

		public SystemWindow AggSystemWindow
		{
			get => _systemWindow;
			set
			{
				_systemWindow = value;

				if (_systemWindow != null)
				{
					this.Caption = _systemWindow.Title;

					if (SingleWindowMode)
					{
						if (firstWindow)
						{
							this.MinimumSize = _systemWindow.MinimumSize;
						}

						// Set this system window as the event target
						this.EventSink?.SetActiveSystemWindow(_systemWindow);
					}
					else
					{
						this.MinimumSize = _systemWindow.MinimumSize;
					}
				}
			}
		}

		public bool IsMainWindow { get; } = false;

		public bool IsInitialized { get; set; } = false;

		public WinformsSystemWindow()
		{
			if (idleCallBackTimer == null)
			{
				idleCallBackTimer = new System.Timers.Timer();
				// call up to 100 times a second
				idleCallBackTimer.Interval = 10;
				idleCallBackTimer.Elapsed += InvokePendingOnIdleActions;
				idleCallBackTimer.Start();
			}

			// Track first window
			if (MainWindowsFormsWindow == null)
			{
				MainWindowsFormsWindow = this;
				IsMainWindow = true;
			}

			this.TitleBarHeight = RectangleToScreen(ClientRectangle).Top - this.Top;
			this.AllowDrop = true;

			string iconPath = File.Exists("application.ico") ?
				"application.ico" :
				"../MonoBundle/StaticData/application.ico";

			try
			{
				if (File.Exists(iconPath))
				{
					this.Icon = new Icon(iconPath);
				}
			}
			catch { }
		}

		protected override void OnClosed(EventArgs e)
		{
			if (IsMainWindow)
			{
				// Ensure that when the MainWindow is closed, we null the field so we can recreate the MainWindow
				MainWindowsFormsWindow = null;
			}

			AggSystemWindow = null;

			base.OnClosed(e);
		}

		public void ReleaseOnIdleGuard()
		{
			lock (SingleInvokeLock)
			{
				processingOnIdle = false;
			}
		}

		private void InvokePendingOnIdleActions(object sender, ElapsedEventArgs e)
		{
			if (!this.IsDisposed)
			{
				lock (SingleInvokeLock)
				{
					if (!enableIdleProcessing)
					{
						// There's a race between the idle timer calling this handler and the code to
						// start the main event loop. Reaching this handler first seems to cause the
						// app to get stuck when running the automation test suite on Linux.
						return;
					}

					if (processingOnIdle)
					{
						// If the pending invoke has not completed, skip the timer event
						return;
					}

					processingOnIdle = true;
				}

				try
				{
					if (InvokeRequired)
					{
						Invoke(new Action(UiThread.InvokePendingActions));
					}
					else
					{
						UiThread.InvokePendingActions();
					}
				}
				catch (Exception ex)
				{
					Console.WriteLine(ex.Message);
				}
				finally
				{
					lock (SingleInvokeLock)
					{
						processingOnIdle = false;
					}
				}
			}
		}

		public abstract Graphics2D NewGraphics2D();

		protected override void OnPaint(PaintEventArgs paintEventArgs)
		{
			if (AggSystemWindow == null
				|| AggSystemWindow.HasBeenClosed)
			{
				return;
			}

			base.OnPaint(paintEventArgs);

			if (ShowingSystemDialog)
			{
				// We do this because calling Invalidate within an OnPaint message will cause our
				// SaveDialog to not show its 'overwrite' dialog if needed.
				// We use the Invalidate to cause a continuous pump of the OnPaint message to call our OnIdle.
				// We could figure another solution but it must be very careful to ensure we don't break SaveDialog
				return;
			}

			if (ClientSize.Width > 0 && ClientSize.Height > 0)
			{
				drawCount++;

				var graphics2D = this.NewGraphics2D();

				if (!SingleWindowMode)
				{
					// We must call on draw background as this is effectively our child and that is the way it is done in GuiWidget.
					// Parents call child OnDrawBackground before they call OnDraw

Answer: AggSystemWindow.OnDrawBackground(graphics2D);

<think>
We are inside the OnPaint method. After creating a Graphics2D object, the code needs to render the window. In non‑single‑window mode, the typical sequence is to first draw the background of the child widget before drawing its contents. The comment explicitly mentions that parents call child OnDrawBackground before they call OnDraw. Therefore the next line should invoke the background drawing method on the AggSystemWindow, passing the current window and the graphics context.
</think>
AggSystemWindow.OnDrawBackground(this, graphics2D);