# Path: loom/util.py
# def LOG(message):
#     if VERBOSITY:
#         sys.stdout.write('{}\n'.format(message))
#         sys.stdout.flush()
# 
# Path: loom/util.py
# class LoomError(Exception):
#     pass
# 
# Path: loom/util.py
# def parallel_map(fun, args):
#     if not isinstance(args, list):
#         args = list(args)
#     is_daemon = multiprocessing.current_process().daemon
#     if THREADS == 1 or len(args) < 2 or is_daemon:
#         print 'Running {} in this thread'.format(fun.__name__)
#         return map(fun, args)
#     else:
#         print 'Running {} in {:d} threads'.format(fun.__name__, THREADS)
#         pool = multiprocessing.Pool(THREADS)
#         fun_args = [(fun, arg) for arg in args]
#         return pool.map(print_trace, fun_args, chunksize=1)


import os
import copy
import loom
import loom.transforms
import loom.format
import loom.generate
import loom.config
import loom.consensus
import loom.runner
import loom.preql
import loom.documented
import parsable
from distributions.io.stream import json_load
from distributions.io.stream import open_compressed
from distributions.io.stream import protobuf_stream_load
from loom.util import LOG
from loom.util import LoomError
from loom.util import parallel_map
    LOG('sparsifying rows WRT {} tare rows'.format(tare_count))
    loom.runner.sparsify(
        schema_row_in=paths['ingest']['schema_row'],
        tares_in=paths['ingest']['tares'],
        rows_in=paths['ingest']['rows'],
        rows_out=paths['ingest']['diffs'],
        debug=debug)
    loom.config.config_dump({}, paths['query']['config'])


@parsable.command
def infer(
        name,
        sample_count=DEFAULTS['sample_count'],
        config=None,
        debug=False):
    '''
    Infer samples in parallel.
    Arguments:
        name            A unique identifier for ingest + inference
        sample_count    The number of samples to draw, typically 10-100
        config          An optional json config file, e.g.,
                            {"schedule": {"extra_passes": 500.0}}
        debug           Whether to run debug versions of C++ code
    Environment variables:
        LOOM_THREADS    Number of concurrent inference tasks
        LOOM_VERBOSITY  Verbosity level
    '''
    if not (sample_count >= 1):
        raise LoomError('Too few samples: {}'.format(sample_count))

# Path: loom/util.py
# def LOG(message):
#     if VERBOSITY:
#         sys.stdout.write('{}\n'.format(message))
#         sys.stdout.flush()
# 
# Path: loom/util.py
# class LoomError(Exception):
#     pass
# 
# Path: loom/util.py
# def parallel_map(fun, args):
#     if not isinstance(args, list):
#         args = list(args)
#     is_daemon = multiprocessing.current_process().daemon
#     if THREADS == 1 or len(args) < 2 or is_daemon:
#         print 'Running {} in this thread'.format(fun.__name__)
#         return map(fun, args)
#     else:
#         print 'Running {} in {:d} threads'.format(fun.__name__, THREADS)
#         pool = multiprocessing.Pool(THREADS)
#         fun_args = [(fun, arg) for arg in args]
#         return pool.map(print_trace, fun_args, chunksize=1)


# Path: loom/tasks.py
import os
import copy
import loom
import loom.transforms
import loom.format
import loom.generate
import loom.config
import loom.consensus
import loom.runner
import loom.preql
import loom.documented
import parsable
from distributions.io.stream import json_load
from distributions.io.stream import open_compressed
from distributions.io.stream import protobuf_stream_load
from loom.util import LOG
from loom.util import LoomError
from loom.util import parallel_map

    LOG('sparsifying rows WRT {} tare rows'.format(tare_count))
    loom.runner.sparsify(
        schema_row_in=paths['ingest']['schema_row'],
        tares_in=paths['ingest']['tares'],
        rows_in=paths['ingest']['rows'],
        rows_out=paths['ingest']['diffs'],
        debug=debug)
    loom.config.config_dump({}, paths['query']['config'])


@parsable.command
def infer(
        name,
        sample_count=DEFAULTS['sample_count'],
        config=None,
        debug=False):
    '''
    Infer samples in parallel.
    Arguments:
        name            A unique identifier for ingest + inference
        sample_count    The number of samples to draw, typically 10-100
        config          An optional json config file, e.g.,
                            {"schedule": {"extra_passes": 500.0}}
        debug           Whether to run debug versions of C++ code
    Environment variables:
        LOOM_THREADS    Number of concurrent inference tasks
        LOOM_VERBOSITY  Verbosity level
    '''
    if not (sample_count >= 1):
        raise LoomError('Too few samples: {}'.format(sample_count))

    parallel_map(_infer_one, [