How to use task_func method in autotest
Best Python code snippet using autotest_python
pipeline.py
Source:pipeline.py 
1'''2Build the pipeline workflow by plumbing the stages together.3'''4from ruffus import Pipeline, suffix, formatter, add_inputs, output_from5from stages import Stages6def make_pipeline(state):7 '''Build the pipeline by constructing stages and connecting them together'''8 # Build an empty pipeline9 pipeline = Pipeline(name='fastq2bam')10 # Get a list of paths to all the FASTQ files11 input_files = state.config.get_option('files')12 # Stages are dependent on the state13 stages = Stages(state)14 # The original files15 # This is a dummy stage. It is useful because it makes a node in the16 # pipeline graph, and gives the pipeline an obvious starting point.17 pipeline.originate(18 task_func=stages.original_files,19 name='original_files',20 output=input_files)21 #22 # performs fastqc on fastq inputs23 # 24 pipeline.transform(25 task_func=stages.fastqc,26 name='fastqc',27 input=output_from('original_files'),28 filter=formatter('(?P<path>.+)/(?P<filename>.+).fastq.gz'),29 output='{path[0]}/{filename[0]}_fastqc')30 #31 # converts the fastq inputs to pre-aligned bams32 #33 pipeline.transform(34 task_func=stages.fastq2bam,35 name='fastq2bam',36 input=output_from('original_files'),37 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+)_R1.fastq.gz'),38 add_inputs=add_inputs('{path[0]}/{sample[0]}_R2.fastq.gz'),39 extras=['{sample[0]}'],40 output='{path[0]}/{sample[0]}.bam')41 #42 # validates pre-aligned bams x.bam -> x.validation43 #44 pipeline.transform(45 task_func=stages.validate_prealigned_bam,46 name='validate_prealigned_bam',47 input=output_from('fastq2bam'),48 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).bam'),49 output='{path[0]}/{sample[0]}.validation')50 # aligns pre-aligned bam x.bam -> x.mapped.bam51 pipeline.transform(52 task_func=stages.align,53 name='align',54 input=output_from('validate_prealigned_bam'),55 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).validation'),56 add_inputs=add_inputs('{path[0]}/{sample[0]}.bam'),57 output='{path[0]}/{sample[0]}.mapped.bam')58 # generates stats about an aligned bam59 pipeline.transform(60 task_func=stages.align_stats_bedtools,61 name='align_stats_bedtools',62 input=output_from('align'),63 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),64 output='{path[0]}/{sample[0]}.genomecov.stats')65 # generates stats about an aligned bam66 pipeline.transform(67 task_func=stages.align_stats_picard,68 name='align_stats_picard',69 input=output_from('align'),70 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),71 output='{path[0]}/{sample[0]}.picard.stats')72 #73 # runs the Sanger variant calling pipeline74 #75 #pipeline.transform(76 # task_func=stages.analyse_wgs,77 # name='analyse_wgs',78 # input=output_from('align'),79 # filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),80 # output='{path[0]}/{sample[0]}.wgs.1.1.2/manifest')81 # runs the components of the Sanger variant calling pipeline82 pipeline.transform(83 task_func=stages.analyse_wgs_prepare,84 name='analyse_wgs_prepare',85 input=output_from('align'),86 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),87 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.prepare')88 pipeline.transform(89 task_func=stages.analyse_wgs_reference_files,90 name='analyse_wgs_reference_files',91 input=output_from('align'),92 add_inputs=add_inputs(output_from('analyse_wgs_prepare')),93 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),94 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.reference_files')95 pipeline.transform(96 task_func=stages.analyse_wgs_init,97 name='analyse_wgs_init',98 input=output_from('align'),99 add_inputs=add_inputs(output_from('analyse_wgs_reference_files')),100 filter=formatter('(?P<path>.*)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),101 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.init')102 # block 1103 pipeline.transform(104 task_func=stages.analyse_wgs_verify_WT,105 name='analyse_wgs_verify_WT',106 input=output_from('align'),107 add_inputs=add_inputs(output_from('analyse_wgs_init')),108 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),109 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.verify_WT')110 pipeline.transform(111 task_func=stages.analyse_wgs_geno,112 name='analyse_wgs_geno',113 input=output_from('align'),114 add_inputs=add_inputs(output_from('analyse_wgs_init')),115 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),116 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.geno')117 #pipeline.transform(118 # task_func=stages.analyse_wgs_cgpPindel_input,119 # name='analyse_wgs_cgpPindel_input',120 # input=output_from('align'),121 # add_inputs=add_inputs(output_from('analyse_wgs_init')),122 # filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),123 # output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.cgpPindel_input')124 pipeline.transform(125 task_func=stages.analyse_wgs_alleleCount,126 name='analyse_wgs_alleleCount',127 input=output_from('align'),128 add_inputs=add_inputs(output_from('analyse_wgs_init')),129 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),130 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.alleleCount')131 # block 2132 pipeline.transform(133 task_func=stages.analyse_wgs_cgpPindel,134 name='analyse_wgs_cgpPindel',135 input=output_from('align'),136 add_inputs=add_inputs(output_from('analyse_wgs_init')),137 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),138 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.cgpPindel')139 pipeline.transform(140 task_func=stages.analyse_wgs_BRASS_input,141 name='analyse_wgs_BRASS_input',142 input=output_from('align'),143 add_inputs=add_inputs(output_from('analyse_wgs_init')),144 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),145 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.BRASS_input')146 pipeline.transform(147 task_func=stages.analyse_wgs_BRASS_cover,148 name='analyse_wgs_BRASS_cover',149 input=output_from('align'),150 add_inputs=add_inputs(output_from('analyse_wgs_init')),151 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),152 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.BRASS_cover')153 pipeline.transform(154 task_func=stages.analyse_wgs_CaVEMan_split,155 name='analyse_wgs_CaVEMan_split',156 input=output_from('align'),157 add_inputs=add_inputs(output_from('analyse_wgs_init')),158 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),159 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.CaVEMan_split')160 # block 2.5161 pipeline.transform(162 task_func=stages.analyse_wgs_ascat,163 name='analyse_wgs_ascat',164 input=output_from('align'),165 add_inputs=add_inputs(output_from('analyse_wgs_CaVEMan_split')),166 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),167 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.ascat')168 # after block 2169 pipeline.transform(170 task_func=stages.analyse_wgs_ascat_prep,171 name='analyse_wgs_ascat_prep',172 input=output_from('align'),173 add_inputs=add_inputs(output_from('analyse_wgs_ascat')),174 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),175 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.ascat_prep')176 pipeline.transform(177 task_func=stages.analyse_wgs_pindel_prep,178 name='analyse_wgs_pindel_prep',179 input=output_from('align'),180 add_inputs=add_inputs(output_from('analyse_wgs_cgpPindel')),181 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),182 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.pindel_prep')183 # parallel block 3184 pipeline.transform(185 task_func=stages.analyse_wgs_verify_MT,186 name='analyse_wgs_verify_MT',187 input=output_from('align'), 188 add_inputs=add_inputs(output_from('analyse_wgs_verify_WT'), output_from('analyse_wgs_prepare'), output_from('analyse_wgs_ascat')),189 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),190 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.verify_MT')191 pipeline.transform(192 task_func=stages.analyse_wgs_CaVEMan,193 name='analyse_wgs_CaVEMan',194 input=output_from('align'), 195 add_inputs=add_inputs(output_from('analyse_wgs_CaVEMan_split'), output_from('analyse_wgs_ascat_prep'), output_from('analyse_wgs_cgpPindel')),196 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),197 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.CaVEMan')198 pipeline.transform(199 task_func=stages.analyse_wgs_BRASS,200 name='analyse_wgs_BRASS',201 input=output_from('align'), 202 add_inputs=add_inputs(output_from('analyse_wgs_BRASS_cover'), output_from('analyse_wgs_BRASS_input'), output_from('analyse_wgs_prepare')),203 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),204 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.BRASS')205 pipeline.transform(206 task_func=stages.analyse_wgs_cgpPindel_annot,207 name='analyse_wgs_cgpPindel_annot',208 input=output_from('align'),209 add_inputs=add_inputs(output_from('analyse_wgs_pindel_prep')),210 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),211 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.cgpPindel_annot')212 # block 5213 pipeline.transform(214 task_func=stages.analyse_wgs_cgpFlagCaVEMan,215 name='analyse_wgs_cgpFlagCaVEMan',216 input=output_from('align'),217 add_inputs=add_inputs(output_from('analyse_wgs_CaVEMan')),218 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),219 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.cgpFlagCaVEMan')220 # pre block 6221 pipeline.transform(222 task_func=stages.analyse_wgs_CaVEMan_annot_prep,223 name='analyse_wgs_CaVEMan_annot_prep',224 input=output_from('align'),225 add_inputs=add_inputs(output_from('analyse_wgs_cgpFlagCaVEMan')),226 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),227 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.CaVEMan_annot_prep')228 # pre block 6229 pipeline.transform(230 task_func=stages.analyse_wgs_caveman_prep,231 name='analyse_wgs_caveman_prep',232 input=output_from('align'),233 add_inputs=add_inputs(output_from('analyse_wgs_CaVEMan_annot_prep')),234 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),235 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.caveman_prep')236 # block 6237 pipeline.transform(238 task_func=stages.analyse_wgs_CaVEMan_annot,239 name='analyse_wgs_CaVEMan_annot',240 input=output_from('align'),241 add_inputs=add_inputs(output_from('analyse_wgs_caveman_prep')),242 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),243 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.CaVEMan_annot')244 # done245 pipeline.transform(246 task_func=stages.analyse_wgs_finish,247 name='analyse_wgs_finish',248 input=output_from('align'), 249 add_inputs=add_inputs(output_from('analyse_wgs_CaVEMan_annot'), output_from('analyse_wgs_BRASS'), output_from('analyse_wgs_cgpPindel_annot'), output_from('analyse_wgs_alleleCount'), output_from('analyse_wgs_verify_MT'), output_from('analyse_wgs_verify_WT')),250 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),251 output='{path[0]}/{sample[0]}.wgs.1.1.2-completed.finish')252 #253 # runs the delly singularity container254 #255# pipeline.transform(256# task_func=stages.delly,257# name='delly',258# input=output_from('align'),259# filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),260# output='{path[0]}/{sample[0]}.delly.completed')261 pipeline.transform(262 task_func=stages.gridss,263 name='gridss',264 input=output_from('align'),265 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),266 output='{path[0]}/{sample[0]}.gridss.completed')267 pipeline.transform(268 task_func=stages.muse,269 name='muse',270 input=output_from('align'),271 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),272 output='{path[0]}/{sample[0]}.muse.completed')273 pipeline.transform(274 task_func=stages.mutect1,275 name='mutect1',276 input=output_from('align'),277 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),278 output='{path[0]}/{sample[0]}.mutect1.completed')279# pipeline.transform(280# task_func=stages.mutect2,281# name='mutect2',282# input=output_from('align'),283# filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),284# output='{path[0]}/{sample[0]}.mutect2.completed')285 pipeline.transform(286 task_func=stages.platypus,287 name='platypus',288 input=output_from('align'),289 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),290 output='{path[0]}/{sample[0]}.platypus.completed')291 pipeline.transform(292 task_func=stages.varscan_germline,293 name='varscan_germline',294 input=output_from('align'),295 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),296 output='{path[0]}/{sample[0]}.varscan.completed')297# pipeline.transform(298# task_func=stages.varscan_germline_indel,299# name='varscan_germline_indel',300# input=output_from('align'),301# filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),302# output='{path[0]}/{sample[0]}.varscan_indel.completed')303 pipeline.transform(304 task_func=stages.hmmcopy,305 name='hmmcopy',306 input=output_from('align'),307 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),308 output='{path[0]}/{sample[0]}.hmmcopy.completed')309 pipeline.transform(310 task_func=stages.callable_bases,311 name='callable_bases',312 input=output_from('align'),313 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),314 output='{path[0]}/{sample[0]}.callable_bases.completed')315 pipeline.transform(316 task_func=stages.somatic_sniper,317 name='somatic_sniper',318 input=output_from('align'),319 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),320 output='{path[0]}/{sample[0]}.somatic_sniper.completed')321 pipeline.transform(322 task_func=stages.contest,323 name='contest',324 input=output_from('align'),325 filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),326 output='{path[0]}/{sample[0]}.contest.completed')327# pipeline.transform(328# task_func=stages.delly2,329# name='delly2',330# input=output_from('align'),331# filter=formatter('(?P<path>.+)/(?P<sample>[a-zA-Z0-9]+).mapped.bam'),332# output='{path[0]}/{sample[0]}.delly2.completed')333 ...
test_tasks_thread.py
Source:test_tasks_thread.py
2import time3import pytest4from labthings.actions import pool, thread5def test_task_with_args():6 def task_func(arg, kwarg=False):7 pass8 task_obj = thread.ActionThread(9 "task_func", target=task_func, args=("String arg",), kwargs={"kwarg": True}10 )11 assert isinstance(task_obj, threading.Thread)12 assert task_obj._target == task_func13 assert task_obj._args == ("String arg",)14 assert task_obj._kwargs == {"kwarg": True}15def test_task_without_args():16 def task_func():17 pass18 task_obj = thread.ActionThread("task_func", target=task_func)19 assert isinstance(task_obj, threading.Thread)20 assert task_obj._target == task_func21 assert task_obj._args == ()22 assert task_obj._kwargs == {}23def test_task_properties():24 def task_func(arg, kwarg=False):25 pass26 task_obj = thread.ActionThread(27 "task_func", target=task_func, args=("String arg",), kwargs={"kwarg": True}28 )29 assert task_obj.status == task_obj._status30 assert task_obj.id == task_obj._ID31 assert task_obj.status == task_obj._status32 assert task_obj.output == task_obj._return_value33def test_task_update_progress():34 def task_func():35 pool.current_action().update_progress(100)36 return37 task_obj = thread.ActionThread("task_func", target=task_func)38 task_obj.start()39 task_obj.join()40 assert task_obj.progress == 10041def test_task_update_data():42 def task_func():43 pool.current_action().update_data({"key": "value"})44 return45 task_obj = thread.ActionThread("task_func", target=task_func)46 task_obj.start()47 task_obj.join()48 assert task_obj.data == {"key": "value"}49def test_task_start():50 def task_func():51 return "Return value"52 task_obj = thread.ActionThread("task_func", target=task_func)53 assert task_obj._status == "pending"54 assert task_obj._return_value is None55 task_obj.start()56 task_obj.join()57 assert task_obj._return_value == "Return value"58 assert task_obj._status == "completed"59def test_task_get():60 def task_func():61 time.sleep(0.1)62 return "Return value"63 task_obj = thread.ActionThread("task_func", target=task_func)64 task_obj.start()65 assert task_obj.get() == "Return value"66def test_task_get_noblock():67 def task_func():68 time.sleep(0.1)69 return "Return value"70 task_obj = thread.ActionThread("task_func", target=task_func)71 task_obj.start()72 task_obj.join()73 assert task_obj.get(block=False, timeout=0) == "Return value"74def test_task_get_noblock_timeout():75 def task_func():76 time.sleep(0.1)77 return "Return value"78 task_obj = thread.ActionThread("task_func", target=task_func)79 task_obj.start()80 with pytest.raises(TimeoutError):81 assert task_obj.get(block=False, timeout=0)82@pytest.mark.filterwarnings("ignore:Exception in thread")83def test_task_exception():84 exc_to_raise = Exception("Exception message")85 def task_func():86 raise exc_to_raise87 task_obj = thread.ActionThread("task_func", target=task_func)88 task_obj.start()89 task_obj.join()90 assert task_obj._status == "error"91 assert task_obj._return_value == str(exc_to_raise)92def test_task_stop():93 def task_func():94 while not pool.current_action().stopped:95 time.sleep(0)96 task_obj = thread.ActionThread("task_func", target=task_func)97 task_obj.start()98 task_obj.started.wait()99 assert task_obj._status == "running"100 task_obj.stop()101 task_obj.join()102 assert task_obj._status == "cancelled"103 assert task_obj._return_value is None104def test_task_stop_timeout():105 def task_func():106 while True:107 time.sleep(0)108 task_obj = thread.ActionThread("task_func", target=task_func)109 task_obj.start()110 task_obj.started.wait()111 assert task_obj._status == "running"112 task_obj.stop(timeout=0)113 task_obj.join()114 assert task_obj._status == "cancelled"115 assert task_obj._return_value is None116def test_task_terminate():117 def task_func():118 while True:119 time.sleep(0.5)120 task_obj = thread.ActionThread("task_func", target=task_func)121 task_obj.start()122 task_obj.started.wait()123 assert task_obj._status == "running"124 task_obj.terminate()125 task_obj.join()126 assert task_obj._status == "cancelled"127 assert task_obj._return_value is None128def test_task_terminate_not_running():129 def task_func():130 return131 task_obj = thread.ActionThread("task_func", target=task_func)132 task_obj.start()133 task_obj.join()134 assert task_obj.terminate() is False135def test_task_log_with_incorrect_thread():136 task_obj = thread.ActionThread(None)137 task_log_handler = thread.ThreadLogHandler(task_obj, task_obj._log)138 # Should always return False if called from outside the log handlers thread139 assert task_log_handler.thread == task_obj...
test_tasks_pool.py
Source:test_tasks_pool.py
1import threading2from labthings import actions3def test_spawn_without_context(task_pool):4 def task_func():5 pass6 task_obj = task_pool.spawn("task_func", task_func)7 assert isinstance(task_obj, threading.Thread)8def test_spawn_with_context(app_ctx, task_pool):9 def task_func():10 pass11 with app_ctx.test_request_context():12 task_obj = task_pool.spawn("task_func", task_func)13 assert isinstance(task_obj, threading.Thread)14def test_update_task_data(task_pool):15 def task_func():16 actions.update_action_data({"key": "value"})17 task_obj = task_pool.spawn("task_func", task_func)18 task_obj.join()19 assert task_obj.data == {"key": "value"}20def test_update_task_data_main_thread():21 # Should do nothing22 actions.update_action_data({"key": "value"})23def test_update_task_progress(task_pool):24 def task_func():25 actions.update_action_progress(100)26 task_obj = task_pool.spawn("task_func", task_func)27 task_obj.join()28 assert task_obj.progress == 10029def test_update_task_progress_main_thread():30 # Should do nothing31 actions.update_action_progress(100)32def test_tasks_list(task_pool):33 assert all(isinstance(task_obj, threading.Thread) for task_obj in task_pool.threads)34def test_tasks_dict(task_pool):35 assert all(36 isinstance(task_obj, threading.Thread)37 for task_obj in task_pool.to_dict().values()38 )39 assert all(k == str(t.id) for k, t in task_pool.to_dict().items())40def test_discard_id(task_pool):41 def task_func():42 pass43 task_obj = task_pool.spawn("task_func", task_func)44 assert str(task_obj.id) in task_pool.to_dict()45 task_obj.join()46 task_pool.discard_id(task_obj.id)47 assert not str(task_obj.id) in task_pool.to_dict()48def test_cleanup_task(task_pool):49 import time50 def task_func():51 pass52 # Make sure at least 1 actions is around53 task_pool.spawn("task_func", task_func)54 # Wait for all actions to finish55 task_pool.join()56 assert len(task_pool.threads) > 057 task_pool.cleanup()...
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