# Path: loom/test/util.py
# def for_each_dataset(fun):
#     @functools.wraps(fun)
#     def test_one(dataset):
#         paths = loom.store.get_paths(dataset, sample_count=2)
#         for key, path in loom.store.iter_paths(dataset, paths):
#             if not os.path.exists(path):
#                 raise ValueError(
#                     'missing {} at {},\n  first `python -m loom.datasets test`'
#                     .format(key, path))
#         kwargs = {'name': dataset}
#         kwargs.update(paths['query'])
#         kwargs.update(paths['consensus'])
#         kwargs.update(paths['samples'][0])
#         kwargs.update(paths['ingest'])
#         kwargs.update(paths)
#         fun(**kwargs)
# 
#     @functools.wraps(fun)
#     def test_all():
#         for dataset in loom.datasets.TEST_CONFIGS:
#             yield test_one, dataset
# 
#     return test_all
# 
# Path: loom/query.py
# def protobuf_to_data_row(diff):
#     assert isinstance(diff, ProductValue.Diff)
#     assert diff.neg.observed.sparsity == NONE
#     data = diff.pos
#     packed = chain(data.booleans, data.counts, data.reals)
#     return [
#         packed.next() if observed else None
#         for observed in data.observed.dense
#     ]
# 
# Path: loom/test/util.py
# def load_rows(filename):
#     rows = []
#     for string in protobuf_stream_load(filename):
#         row = Row()
#         row.ParseFromString(string)
#         rows.append(row)
#     return rows


from itertools import izip
from nose.tools import assert_true, assert_equal, assert_not_equal
from distributions.dbg.random import sample_bernoulli
from distributions.io.stream import open_compressed
from distributions.fileutil import tempdir
from loom.schema_pb2 import ProductValue, CrossCat, Query
from loom.test.util import for_each_dataset
from loom.query import protobuf_to_data_row
from loom.test.util import load_rows
import loom.query
import loom.config
    return requests


def check_response(request, response):
    assert_equal(request.id, response.id)
    assert_equal(len(response.error), 0)


def get_response(server, request):
    server.send(request)
    return server.receive()


def _test_server(root, requests):
    with loom.query.ProtobufServer(root, debug=True) as protobuf_server:
        server = loom.query.QueryServer(protobuf_server)
        for request in requests:
            response = get_response(protobuf_server, request)
            check_response(request, response)
            if request.HasField('sample'):
                assert_equal(len(response.sample.samples), 1)
                pod_request = protobuf_to_data_row(request.sample.data)
                to_sample = request.sample.to_sample.dense[:]
                server.sample(to_sample, pod_request)
            if request.HasField('score'):
                assert_true(isinstance(response.score.score, float))
                pod_request = protobuf_to_data_row(request.score.data)
                server.score(pod_request)



# Path: loom/test/util.py
# def for_each_dataset(fun):
#     @functools.wraps(fun)
#     def test_one(dataset):
#         paths = loom.store.get_paths(dataset, sample_count=2)
#         for key, path in loom.store.iter_paths(dataset, paths):
#             if not os.path.exists(path):
#                 raise ValueError(
#                     'missing {} at {},\n  first `python -m loom.datasets test`'
#                     .format(key, path))
#         kwargs = {'name': dataset}
#         kwargs.update(paths['query'])
#         kwargs.update(paths['consensus'])
#         kwargs.update(paths['samples'][0])
#         kwargs.update(paths['ingest'])
#         kwargs.update(paths)
#         fun(**kwargs)
# 
#     @functools.wraps(fun)
#     def test_all():
#         for dataset in loom.datasets.TEST_CONFIGS:
#             yield test_one, dataset
# 
#     return test_all
# 
# Path: loom/query.py
# def protobuf_to_data_row(diff):
#     assert isinstance(diff, ProductValue.Diff)
#     assert diff.neg.observed.sparsity == NONE
#     data = diff.pos
#     packed = chain(data.booleans, data.counts, data.reals)
#     return [
#         packed.next() if observed else None
#         for observed in data.observed.dense
#     ]
# 
# Path: loom/test/util.py
# def load_rows(filename):
#     rows = []
#     for string in protobuf_stream_load(filename):
#         row = Row()
#         row.ParseFromString(string)
#         rows.append(row)
#     return rows


# Path: loom/test/test_query.py
from itertools import izip
from nose.tools import assert_true, assert_equal, assert_not_equal
from distributions.dbg.random import sample_bernoulli
from distributions.io.stream import open_compressed
from distributions.fileutil import tempdir
from loom.schema_pb2 import ProductValue, CrossCat, Query
from loom.test.util import for_each_dataset
from loom.query import protobuf_to_data_row
from loom.test.util import load_rows
import loom.query
import loom.config

    return requests


def check_response(request, response):
    assert_equal(request.id, response.id)
    assert_equal(len(response.error), 0)


def get_response(server, request):
    server.send(request)
    return server.receive()


def _test_server(root, requests):
    with loom.query.ProtobufServer(root, debug=True) as protobuf_server:
        server = loom.query.QueryServer(protobuf_server)
        for request in requests:
            response = get_response(protobuf_server, request)
            check_response(request, response)
            if request.HasField('sample'):
                assert_equal(len(response.sample.samples), 1)
                pod_request = protobuf_to_data_row(request.sample.data)
                to_sample = request.sample.to_sample.dense[:]
                server.sample(to_sample, pod_request)
            if request.HasField('score'):
                assert_true(isinstance(response.score.score, float))
                pod_request = protobuf_to_data_row(request.score.data)
                server.score(pod_request)



@for_each_dataset