Search is not available for this dataset
id int64 0 10.8M | vector listlengths 1.54k 1.54k | ast_depth int64 3 164 | ast_data stringlengths 297 510k | full_path stringlengths 0 319 | code stringlengths 60 56.5k |
|---|---|---|---|---|---|
1,501 | [
-0.001933011575601995,
-0.001976726343855262,
0.014130792580544949,
-0.036567386239767075,
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0.020928436890244484,
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0.025747988373041153,
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0.016895750537514687,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "range_string", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "row", "annotation": null, "type_comment": null}}, {"_type... | def get_range_boundaries(range_string, row = 0, column = 0):
if ':' in range_string:
min_range, max_range = range_string.split(':')
min_col, min_row = coordinate_from_string(min_range)
max_col, max_row = coordinate_from_string(max_range)
min_col = column_index_from_string(mi... | |
1,502 | [
0.007989492267370224,
0.03898919001221657,
0.0538511760532856,
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0.00029798923060297966,
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0.005552667658776045,
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0.0016901979688555002,
-0.014180026017129421,
-0.007660271134227514,
-0.020693901926279068,
0.03125249594449997,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "p", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "min_row", "annotation": null, "type_comment": null}}, {"_type": "arg... | def get_cells(p, min_row, min_col, max_row, max_col, _re_coordinate=RE_COORDINATE):
for _event, element in p:
if element.tag == '{http://schemas.openxmlformats.org/spreadsheetml/2006/main}c':
coord = element.get('r')
column_str, row = _re_coordinate.match(coord).groups()
... | |
1,503 | [
-0.013174297288060188,
0.01365108136087656,
0.05495563894510269,
-0.023425154387950897,
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0.012716333381831646,
0.017327336594462395,
-0.0229483712464571,
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0.021969707682728767,
-0.019773991778492928,
-0.0009025961626321077,
0.02873251400887966,
... | 17 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "p", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "min_col", "annotation": null, "type_comment": null}}, {"_type": "arg... | def get_squared_range(p, min_col, min_row, max_col, max_row, string_table, style_table):
expected_columns = [get_column_letter(ci) for ci in xrange(min_col, max_col)]
current_row = min_row
for row, cells in get_rows(p, min_row = min_row, max_row = max_row, min_column = min_col, max_column = max_col):... | |
1,504 | [
0.030519044026732445,
0.03009609691798687,
-0.04371947795152664,
-0.024553250521421432,
0.023195363581180573,
0.0010198057861998677,
0.012966698035597801,
-0.03532729670405388,
0.004485475830733776,
-0.02352927066385746,
0.02657894976437092,
-0.014536058530211449,
0.03209953382611275,
0.02... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "archive", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}], "kwarg... | def unpack_worksheet(archive, filename):
temp_file = tempfile.TemporaryFile(mode='r+', prefix='openpyxl.', suffix='.unpack.temp')
zinfo = archive.getinfo(filename)
if zinfo.compress_type == zipfile.ZIP_STORED:
decoder = None
elif zinfo.compress_type == zipfile.ZIP_DEFLATED:
d... | |
1,505 | [
0.02287360094487667,
0.000367840490071103,
0.011222024448215961,
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0.039065293967723846,
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0.0026891694869846106,
0.016513856127858162,
-0.06323947757482529,
0.008847560733556747,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "virtual"}}, "targets": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, ... | class VirtualCollector(BaseFactCollector):
name = 'virtual'
_fact_class = Virtual
_fact_ids = set(['virtualization_type',
'virtualization_role'])
def collect(self, module=None, collected_facts=None):
collected_facts = collected_facts or {}
if not module:
... | |
1,506 | [
0.018415218219161034,
0.022683419287204742,
0.029028352349996567,
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0.00897239986807108,
0.004141990095376968,
0.03217213228344917,
0.046101152896881104,
0.019275743514299393,
0.06067269667983055,
-0.018162798136472702,
-0.00028397300047799945,
-0.014169965870678425,
-0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "symbol", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "train_iter", "annotation": null, "type_comment": null}}, {"_typ... | def train(symbol, train_iter, valid_iter, data_names, label_names):
devs = mx.cpu() if args.gpus is None or args.gpus is '' else [mx.gpu(int(i)) for i in args.gpus.split(',')]
module = mx.mod.Module(symbol, data_names=data_names, label_names=label_names, context=devs)
module.bind(data_shapes=train_iter.prov... | |
1,507 | [
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0.028670547530055046,
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0.014825278893113136,
0.052503589540719986,
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0.06505607813596725,
-... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "launch_template", "annotation": null, "type_comment": null}... | def describe_launch_templates(connection, launch_template):
if launch_template['launch_template_id'] is not None:
try:
lt = connection.describe_launch_templates(LaunchTemplateIds=[launch_template['launch_template_id']])
return lt
except (botocore.exceptions.ClientError) as e:... | |
1,508 | [
0.04509679228067398,
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0.017846815288066864,
0.04572047293186188,
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0.005945940036326647,
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0.01866239495575428,
0.02371179684996605,
-0.06419096887111664,
-0.01355302520096302,
-0.0... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "a... | def collect(self, module=None, collected_facts=None):
collected_facts = collected_facts or {}
if not module:
return {}
# Network munges cached_facts by side effect, so give it a copy
facts_obj = self._fact_class(module)
facts_dict = facts_obj.populate(collected_fact... | |
1,509 | [
0.008646228350698948,
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0.06320086121559143,
-0.017919450998306274,
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0.0334814079105854,
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0.017668653279542923,
0.019123276695609093,
-0.06535771489143372,
-0.03551286458969116,
-0.... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "autoscaling_group", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "pos... | def get_properties(autoscaling_group):
properties = dict()
properties['healthy_instances'] = 0
properties['in_service_instances'] = 0
properties['unhealthy_instances'] = 0
properties['pending_instances'] = 0
properties['viable_instances'] = 0
properties['terminating_instances'] = 0
inst... | |
1,510 | [
0.024028055369853973,
0.007924381643533707,
0.022919749841094017,
-0.06224241480231285,
0.0001736921985866502,
0.013454824686050415,
0.005225658882409334,
0.02347390353679657,
0.024936866015195847,
0.019971659407019615,
-0.012889589183032513,
-0.07638438791036606,
0.0367513969540596,
-0.03... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "ec2_connection", "annotation": null, "type_comment": null}}... | def get_launch_object(connection, ec2_connection):
launch_object = dict()
launch_config_name = module.params.get('launch_config_name')
launch_template = module.params.get('launch_template')
if launch_config_name is None and launch_template is None:
return launch_object
elif launch_config_nam... | |
1,511 | [
0.009802096523344517,
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0.030615756288170815,
-0.019495882093906403,
0.01352677308022976,
0.036560796201229095,
-0.07201442122459412,
0.0004708496271632612,
0.0004768668732140213,
0.04878784343600273,
0.017064914107322693,
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-... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "asg_connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "elb_connection", "annotation": null, "type_comment": nu... | def elb_healthy(asg_connection, elb_connection, group_name):
healthy_instances = set()
as_group = describe_autoscaling_groups(asg_connection, group_name)[0]
props = get_properties(as_group)
# get healthy, inservice instances from ASG
instances = []
for instance, settings in props['instance_facts... | |
1,512 | [
0.005761260166764259,
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0.05660958215594292,
-0.03571736812591553,
-0.023142896592617035,
0.07999711483716965,
-0.031240465119481087,
0.01602388732135296,
0.008745862171053886,
0.0328306220471859,
0.038677506148815155,
-0.047680240124464035,
-0.020329542458057404,
-0.0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "asg_connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "group_name", "annotation": null, "type_comment": null}}... | def elb_dreg(asg_connection, group_name, instance_id):
region, ec2_url, aws_connect_params = get_aws_connection_info(module, boto3=True)
as_group = describe_autoscaling_groups(asg_connection, group_name)[0]
wait_timeout = module.params.get('wait_timeout')
count = 1
if as_group['LoadBalancerNames'] a... | |
1,513 | [
-0.0016459677135571837,
-0.003701102687045932,
0.04431403800845146,
-0.015139183960855007,
0.0015715737827122211,
0.04414045438170433,
-0.06105269491672516,
0.006168504245579243,
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0.01810254529118538,
0.017544589936733246,
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-0.02383088506758213,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "asg_connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "elbv2_connection", "annotation": null, "type_comment": ... | def tg_healthy(asg_connection, elbv2_connection, group_name):
healthy_instances = set()
as_group = describe_autoscaling_groups(asg_connection, group_name)[0]
props = get_properties(as_group)
# get healthy, inservice instances from ASG
instances = []
for instance, settings in props['instance_fact... | |
1,514 | [
-0.00981118157505989,
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0.05902368202805519,
-0.02963229827582836,
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0.06389012932777405,
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0.006739540956914425,
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0.026042694225907326,
0.014515007846057415,
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... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "asg_connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "group_name", "annotation": null, "type_comment": null}}... | def wait_for_elb(asg_connection, group_name):
region, ec2_url, aws_connect_params = get_aws_connection_info(module, boto3=True)
wait_timeout = module.params.get('wait_timeout')
# if the health_check_type is ELB, we want to query the ELBs directly for instance
# status as to avoid health_check_grace per... | |
1,515 | [
-0.0009743530536070466,
0.010304808616638184,
0.07951225340366364,
0.008507458493113518,
-0.03846960514783859,
0.06705062836408615,
-0.029186446219682693,
0.04225349798798561,
0.027395403012633324,
-0.00949757732450962,
0.039327286183834076,
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0.023233117535710335,
0.04... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "ec2_connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "as_group", "annotation": null, "type_comment": null}}],... | def suspend_processes(ec2_connection, as_group):
suspend_processes = set(module.params.get('suspend_processes'))
try:
suspended_processes = set([p['ProcessName'] for p in as_group['SuspendedProcesses']])
except AttributeError:
# New ASG being created, no suspended_processes defined yet
... | |
1,516 | [
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0.07016958296298981,
-0.020609918981790543,
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0.06719791889190674,
-0.02356959879398346,
0.018129538744688034,
-0.0033131642267107964,
0.01806962676346302,
0.013132832013070583,
-0.037625085562467575,
-0.06202147901058197,
-... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "asg_connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "group_name", "annotation": null, "type_comment": null}}... | def wait_for_target_group(asg_connection, group_name):
region, ec2_url, aws_connect_params = get_aws_connection_info(module, boto3=True)
wait_timeout = module.params.get('wait_timeout')
# if the health_check_type is ELB, we want to query the ELBs directly for instance
# status as to avoid health_check_... | |
1,517 | [
0.0005080631235614419,
-0.0013987742131575942,
0.02357352524995804,
-0.030033346265554428,
-0.043507374823093414,
0.0506180003285408,
-0.00848454050719738,
-0.02071722410619259,
0.0029060153756290674,
0.04155496507883072,
0.015137191861867905,
-0.05124469846487045,
-0.026803435757756233,
0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyarg... | def delete_autoscaling_group(connection):
group_name = module.params.get('name')
notification_topic = module.params.get('notification_topic')
wait_for_instances = module.params.get('wait_for_instances')
wait_timeout = module.params.get('wait_timeout')
if notification_topic:
del_notification... | |
1,518 | [
-0.005676002707332373,
-0.004490063525736332,
0.04643501713871956,
-0.015942934900522232,
-0.022667331621050835,
0.03413548693060875,
-0.00962811429053545,
-0.0676841139793396,
0.0025170641019940376,
0.028511444106698036,
0.017544563859701157,
-0.043843068182468414,
-0.007354045286774635,
... | 17 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyarg... | def create_autoscaling_group(connection):
group_name = module.params.get('name')
load_balancers = module.params['load_balancers']
target_group_arns = module.params['target_group_arns']
availability_zones = module.params['availability_zones']
launch_config_name = module.params.get('launch_config_name... | |
1,519 | [
0.0003965462965425104,
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0.08512665331363678,
0.009227207861840725,
-0.02418621815741062,
0.023236438632011414,
0.04207739233970642,
-0.03315389156341553,
-0.01694139651954174,
-0.0016524487873539329,
-0.00744913425296545,
-0.04360145330429077,
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0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "group", "annotation": null, "type_comment": null}}, {"_type... | def update_size(connection, group, max_size, min_size, dc):
module.debug("setting ASG sizes")
module.debug("minimum size: %s, desired_capacity: %s, max size: %s" % (min_size, dc, max_size))
updated_group = dict()
updated_group['AutoScalingGroupName'] = group['AutoScalingGroupName']
updated_group['M... | |
1,520 | [
-0.002994091250002384,
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0.05074411630630493,
-0.05174895003437996,
-0.038233932107686996,
0.04119819402694702,
0.018488945439457893,
-0.00867297314107418,
-0.01964450441300869,
0.03318464383482933,
0.024505389854311943,
-0.04109771177172661,
-0.03288319334387779,
0.007... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyarg... | def replace(connection):
batch_size = module.params.get('replace_batch_size')
wait_timeout = module.params.get('wait_timeout')
group_name = module.params.get('name')
max_size = module.params.get('max_size')
min_size = module.params.get('min_size')
desired_capacity = module.params.get('desired_ca... | |
1,521 | [
0.03140278905630112,
0.0015332939801737666,
0.03841213509440422,
-0.0806770846247673,
0.028501572087407112,
0.02416134811937809,
0.00015240463835652918,
0.030219092965126038,
0.036532144993543625,
0.01846335455775261,
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-0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "props", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "lc_check", "annotation": null, "type_comment": null}}, {"_type":... | def get_instances_by_launch_config(props, lc_check, initial_instances):
new_instances = []
old_instances = []
# old instances are those that have the old launch config
if lc_check:
for i in props['instances']:
# Check if migrating from launch_template to launch_config first
... | |
1,522 | [
0.027431011199951172,
-0.00950272474437952,
0.04484609514474869,
-0.08626331388950348,
0.022389208897948265,
0.02368631772696972,
0.00219662394374609,
0.03866509348154068,
0.02017848566174507,
0.021295126527547836,
-0.01334329228848219,
-0.027453569695353508,
-0.0018822163110598922,
-0.028... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "props", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "lt_check", "annotation": null, "type_comment": null}}, {"_type":... | def get_instances_by_launch_template(props, lt_check, initial_instances):
new_instances = []
old_instances = []
# old instances are those that have the old launch template or version of the same launch templatec
if lt_check:
for i in props['instances']:
# Check if migrating from laun... | |
1,523 | [
-0.014413409866392612,
0.012025645934045315,
0.05641324445605278,
-0.03626919910311699,
-0.040461741387844086,
0.013433496467769146,
-0.013880039565265179,
-0.0004546829150058329,
-0.008657969534397125,
0.014983993023633957,
0.004220449831336737,
-0.06301215291023254,
-0.06092828884720802,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "replace_instances", "annotation": null, "type_comment": nul... | def terminate_batch(connection, replace_instances, initial_instances, leftovers=False):
batch_size = module.params.get('replace_batch_size')
min_size = module.params.get('min_size')
desired_capacity = module.params.get('desired_capacity')
group_name = module.params.get('name')
lc_check = module.para... | |
1,524 | [
0.018704071640968323,
0.05228985473513603,
0.01576085574924946,
-0.06472525745630264,
-0.0178249292075634,
0.02087007462978363,
-0.01825813017785549,
0.026004774495959282,
0.049588724970817566,
0.013352770358324051,
0.03503828123211861,
-0.07104489207267761,
-0.033203549683094025,
-0.02294... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "props", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "lc_check", "annotation": null, "type_comment": null}}, {"_type":... | def list_purgeable_instances(props, lc_check, lt_check, replace_instances, initial_instances):
instances_to_terminate = []
instances = (inst_id for inst_id in replace_instances if inst_id in props['instances'])
# check to make sure instances given are actually in the given ASG
# and they have a non-curr... | |
1,525 | [
0.031373996287584305,
-0.004238174296915531,
0.030683616176247597,
-0.021427391096949577,
0.00025709514738991857,
0.029532980173826218,
0.01361585408449173,
-0.029686396941542625,
-0.0025521735660731792,
0.008776792325079441,
0.013334588147699833,
-0.033342860639095306,
-0.036539070308208466... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "group_name", "annotation": null, "type_comment": null}}, {"... | def wait_for_new_inst(connection, group_name, wait_timeout, desired_size, prop):
# make sure we have the latest stats after that last loop.
as_group = describe_autoscaling_groups(connection, group_name)[0]
props = get_properties(as_group)
module.debug("Waiting for %s = %s, currently %s" % (prop, desire... | |
1,526 | [
0.01145156566053629,
0.03269058093428612,
0.040702980011701584,
-0.035451777279376984,
-0.035451777279376984,
0.04563368484377861,
0.030200576409697533,
0.02338387444615364,
0.02379065752029419,
0.05147657170891762,
0.007667248137295246,
-0.04886329919099808,
-0.07578495144844055,
-0.03407... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "connection", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "term_instances", "annotation": null, "type_comment": null}}... | def wait_for_term_inst(connection, term_instances):
wait_timeout = module.params.get('wait_timeout')
group_name = module.params.get('name')
as_group = describe_autoscaling_groups(connection, group_name)[0]
count = 1
wait_timeout = time.time() + wait_timeout
while wait_timeout > time.time() and c... | |
1,527 | [
0.02024613693356514,
0.012713568285107613,
0.03357589244842529,
-0.039536554366350174,
-0.01708975061774254,
0.060964763164520264,
-0.010368285700678825,
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0.0251504797488451,
0.053570523858070374,
0.01590767875313759,
-0.07665866613388062,
-0.013430356979370117,
0.005... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def main():
argument_spec = ec2_argument_spec()
argument_spec.update(
dict(
name=dict(required=True, type='str'),
load_balancers=dict(type='list'),
target_group_arns=dict(type='list'),
availability_zones=dict(type='list'),
launch_config_name=di... | |
1,528 | [
0.0033650605473667383,
0.00976527389138937,
-0.018613088876008987,
-0.03498908877372742,
0.002196243964135647,
-0.000681416888255626,
-0.03617047145962715,
-0.02996191941201687,
0.017306026071310043,
0.01359848864376545,
0.055248573422431946,
0.00932539626955986,
0.01812293939292431,
0.025... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "st", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}... | def statinfo(st):
return {
'mode' : "%04o" % stat.S_IMODE(st.st_mode),
'isdir' : stat.S_ISDIR(st.st_mode),
'ischr' : stat.S_ISCHR(st.st_mode),
'isblk' : stat.S_ISBLK(st.st_mode),
'isreg' : stat.S_ISREG(st.st_mode),
'isfifo' : stat.S_ISFIFO(st.st_mode... | |
1,529 | [
0.024171879515051842,
-0.0044260029681026936,
-0.047257911413908005,
-0.02646159753203392,
-0.055566996335983276,
0.024856433272361755,
0.004369940608739853,
0.022413279861211777,
0.033401571214199066,
0.052592720836400986,
-0.0015992624685168266,
-0.06675592809915543,
0.011070908978581429,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rover", "annotation": ... | class Stop(object):
def __init__(self, rover, brake=5):
self.rover = rover
self.brake = brake
self.rover.steer = 0
self.start_time = self.rover.total_time
def __str__(self):
return 'Stop'
def delay(self, sec):
if self.start_time == 0:
self.start_... | |
1,530 | [
0.008260134607553482,
-0.02379482053220272,
0.005435380153357983,
-0.011123022064566612,
-0.002927419962361455,
0.02366575598716736,
0.014455235563218594,
0.002820354886353016,
0.019324490800499916,
0.029802192002534866,
-0.03787459433078766,
-0.035833027213811874,
-0.014748564921319485,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "sec", "annotation": null, "type_comment": null}}], "kwarg": null,... | def delay(self, sec):
if self.start_time == 0:
self.start_time = self.rover.total_time
delta = self.rover.total_time - self.start_time
if delta <= sec:
return False
else:
self.start_time = 0
return True | |
1,531 | [
0.036079101264476776,
-0.005184350535273552,
-0.02784878946840763,
-0.0070678736083209515,
-0.0013139593647792935,
-0.004282994661480188,
0.001740549341775477,
0.023882823064923286,
0.03538288176059723,
0.05992462858557701,
-0.02588445506989956,
-0.04540347307920456,
-0.022005517035722733,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def next(self):
self.rover.throttle = 0.0
self.rover.steer = 0
if abs(self.rover.vel) < 0.02:
if self.delay(0.5):
self.rover.brake = 0.0
if self.rover.go_home:
return ReturnHome(self.rover)
else:
... | |
1,532 | [
0.023732300847768784,
0.003331526182591915,
0.00877902191132307,
-0.03532189503312111,
-0.04365714266896248,
-0.011763245798647404,
-0.02211155742406845,
-0.03223476558923721,
0.015718629583716393,
0.04396585375070572,
0.014689586125314236,
-0.04952268674969673,
-0.008836905471980572,
-0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rover", "annotation": ... | class Go(object):
def __init__(self, rover, throttle=0.1):
self.rover = rover
self.throttle = throttle
self.bearing = 0
self.nav_data = None
self.front_area = 0
self.start_time = 0
def __str__(self):
return 'Go'
def delay(self, sec):
if self.... | |
1,533 | [
0.018979758024215698,
-0.02408776618540287,
0.009677673690021038,
-0.010572826489806175,
-0.024162884801626205,
0.0339532345533371,
0.010472670197486877,
0.012093962170183659,
0.02516445517539978,
0.028594832867383957,
-0.034328822046518326,
-0.032576076686382294,
-0.037959516048431396,
-0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "sec", "annotation": null, "type_comment": null}}], "kwarg": null,... | def delay(self, sec):
if self.start_time == 0:
self.start_time = self.rover.total_time
delta = self.rover.total_time - self.start_time
if delta <= sec:
# print 'stabilizing...', delta
return False
else:
self.start_time = 0
retur... | |
1,534 | [
-0.009800068102777004,
-0.02231118269264698,
0.012553856708109379,
-0.0017890466842800379,
-0.05949648842215538,
-0.028820136561989784,
0.003706318559125066,
-0.028136270120739937,
-0.008975762873888016,
0.041569385677576065,
-0.005284709390252829,
-0.03942008689045906,
-0.03446204587817192,... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def update_sterring(self):
self.nav_data = get_polar_points(self.rover)
mean_dir = rad2deg(np.mean(get_near_periferics(self.nav_data, 100)))
desv = rad2deg(np.sqrt(get_near_periferics(self.nav_data, 100).var()))
AI, AD = side_areas(self.rover)
if AI > 0.48:
self.beari... | |
1,535 | [
0.015972275286912918,
-0.012900193221867085,
-0.03021092712879181,
-0.026310276240110397,
-0.018674686551094055,
0.03469794988632202,
-0.003121477086097002,
0.008725476451218128,
0.009254486300051212,
0.037247397005558014,
-0.021020175889134407,
-0.04731770604848862,
-0.03273487836122513,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def stuck(self):
if self.rover.vel < 0.02:
if self.delay(0.3):
if self.rover.throttle > 0:
return True
else:
return False
return False
else:
return False | |
1,536 | [
0.01892981119453907,
-0.021515103057026863,
0.05374425649642944,
-0.014902720227837563,
-0.059859465807676315,
-0.00617425050586462,
-0.0033061914145946503,
-0.023665370419621468,
0.0026443316601216793,
0.060058336704969406,
0.01597164012491703,
-0.03201785311102867,
-0.016356946900486946,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def next(self):
print('area: ', len(self.rover.nav_angles))
print('fron area:', self.front_area)
if self.check_rock_sight():
self.rover.rock_detected = True
return Stop(self.rover, brake=2)
if self.check_area_stop(): # and is_obstacle_ahead(self.rover) ==
... | |
1,537 | [
0.028974855318665504,
0.02181781828403473,
0.026671726256608963,
-0.04635976627469063,
-0.018957478925585747,
-0.024405743926763535,
-0.008203350938856602,
0.0037518723402172327,
0.003581614000722766,
0.06775658577680588,
-0.0029593976214528084,
-0.06409139186143875,
-0.004042859189212322,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rover", "annotation": ... | class SearchClearPath(object):
def __init__(self, rover, turn='right'):
self.rover = rover
self.turn_direction = turn
self.iteration = 0
def __str__(self):
return 'SearchClearPath'
def run(self):
self.rover.brake = 0.0
def update_turn(self):
if self.tur... | |
1,538 | [
0.02439957670867443,
-0.024348797276616096,
0.024742338806390762,
-0.025516726076602936,
-0.04999247193336487,
-0.032118067145347595,
0.022152580320835114,
-0.017747454345226288,
-0.006084025371819735,
0.03386996313929558,
0.0022866667713969946,
-0.06007221341133118,
-0.030137665569782257,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def next(self):
self.update_turn()
AI, AD = side_areas(self.rover)
print('iter: ', self.iteration)
print('area: ', len(self.rover.nav_angles))
print('AI:', AI)
if self.rover.rock_detected:
return Rock(self.rover)
else:
if len(self.rover.nav... | |
1,539 | [
0.0000154461849888321,
-0.006669700611382723,
-0.01018456555902958,
-0.038590289652347565,
-0.038712333887815475,
0.025360727682709694,
-0.026752028614282608,
-0.013376014307141304,
0.008262373507022858,
0.010605617426335812,
0.014083868823945522,
-0.07840102165937424,
-0.02174822799861431,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rover", "annotation": ... | class Stuck(object):
def __init__(self, rover):
self.rover = rover
self.times = 0
def __str__(self):
return 'Stuck'
def check_vel_max(self):
if self.rover.vel < -self.rover.max_vel:
return False
else:
return True
def run(self):
s... | |
1,540 | [
0.05073637515306473,
-0.027529271319508553,
-0.025883900001645088,
-0.007754119113087654,
-0.016969425603747368,
0.021279316395521164,
0.00360692385584116,
0.02639961428940296,
0.033202119171619415,
0.04336903989315033,
0.00296074734069407,
-0.038801293820142746,
-0.03366871550679207,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def next(self):
if self.rover.picking_up:
return Stop(self.rover)
self.times += 1
if self.times >= 1:
if self.times >= 35:
self.rover.throttle = 0.0
self.times = 0
return Stop(self.rover)
else:
if... | |
1,541 | [
0.013657639734447002,
-0.01588304713368416,
0.052850235253572464,
-0.01808302104473114,
-0.004473067820072174,
-0.015387099236249924,
-0.0355302095413208,
-0.029807735234498978,
0.0012573548592627048,
0.03939605876803398,
0.036674704402685165,
-0.05559702217578888,
-0.007369276136159897,
-... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rover", "annotation": ... | class Rock(Go):
def __init__(self, rover):
self.rover = rover
self.distance = 0
self.angle = 0
self.iteration = 0
self.bearing = 0
self.start_time = 0
def __str__(self):
return 'Rock'
def update_rock_data(self):
self.distance = distance_to_ro... | |
1,542 | [
0.026445534080266953,
-0.0328197106719017,
-0.017042407765984535,
0.02997322753071785,
-0.004090299364179373,
0.004662028979510069,
-0.02510744333267212,
-0.007985967211425304,
-0.011507578194141388,
0.021506763994693756,
0.02348957024514675,
-0.026932112872600555,
0.02209065854549408,
0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def check(self):
# If in a state where want to pickup a rock send pickup command
if self.rover.near_sample:
self.rover.throttle = 0
self.rover.brake = self.rover.brake_set
if self.rover.vel == 0 and not self.rover.picking_up:
self.rover.send_pickup = T... | |
1,543 | [
0.025442034006118774,
-0.018655018880963326,
0.032340310513973236,
-0.01713443174958229,
-0.020336320623755455,
-0.006675752345472574,
0.004178526345640421,
-0.016009442508220673,
-0.015106980688869953,
0.047620367258787155,
0.009593303315341473,
-0.04860936850309372,
-0.042576465755701065,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def next(self):
self.update_rock_data()
if self.distance == 0:
self.iteration += 1
self.rover.steer = np.clip(self.bearing, -15, 15)
self.go()
if self.iteration >= 5:
self.rover.max_vel = 1
self.rover.rock_detected = False
... | |
1,544 | [
0.01969142071902752,
0.010067933239042759,
0.05029645562171936,
-0.008956818841397762,
-0.030271701514720917,
-0.018580306321382523,
-0.039777904748916626,
-0.019851915538311005,
0.030493924394249916,
0.04454335197806358,
-0.00955558568239212,
-0.05713598430156708,
0.002720687771216035,
-0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rover", "annotation": ... | class ReturnHome(Go):
def __init__(self, rover):
self.rover = rover
self.home = self.rover.pos
self.front_area = 0
def __str__(self):
return 'ReturnHome'
def bearing_to_home_position(self):
x = self.rover.pos[0] - self.home[0]
y = self.rover.pos[1] - self.ho... | |
1,545 | [
0.003208311740309,
-0.02344055101275444,
0.020147062838077545,
-0.014434563927352428,
-0.05242324620485306,
-0.021475814282894135,
0.011317106895148754,
-0.04317876696586609,
0.010408558882772923,
0.04874362424015999,
-0.0001763861655490473,
-0.04656310752034187,
-0.0341159962117672,
-0.02... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def update_sterring(self):
min_nav_angle = rad2deg(np.min(self.rover.nav_angles)) + 45
max_nav_angle = rad2deg(np.max(self.rover.nav_angles)) - 45
min_obs_angle = rad2deg(np.min(self.rover.nav_angles)) + 45
max_obs_angle = rad2deg(np.max(self.rover.nav_angles)) - 45
min_angle = ... | |
1,546 | [
0.04167480394244194,
-0.03298235312104225,
0.018278637900948524,
-0.00727227795869112,
-0.0466209314763546,
-0.032492633908987045,
-0.02842799574136734,
-0.018560225144028664,
0.025636615231633186,
0.046278130263090134,
-0.00647036824375391,
-0.03800193592905998,
-0.01671154797077179,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def next(self):
if self.rover.samples_to_find == 0:
self.rover.go_home = True
print('area: ', len(self.rover.nav_angles))
print('front area:', self.front_area)
if self.check_area_stop(): # and is_obstacle_ahead(self.rover) ==
self.update_sterring(... | |
1,547 | [
0.03292191028594971,
0.032008565962314606,
-0.018505601212382317,
-0.019917132332921028,
-0.003770139766857028,
-0.010435996577143669,
-0.05920131504535675,
-0.042366720736026764,
0.015402305871248245,
0.011977264657616615,
0.033565402030944824,
0.0005925710429437459,
0.011043163016438484,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "__slots__", "ctx": {"_type": "Store", "_fields": {}}}}], "ty... | class NodeList(list):
__slots__ = ()
def item(self, index):
if 0 <= index < len(self):
return self[index]
def _get_length(self):
return len(self)
def _set_length(self, value):
raise xml.dom.NoModificationAllowedErr(
"attempt to modify read-only attribut... | |
1,548 | [
0.005855247378349304,
-0.016227686777710915,
0.018551677465438843,
-0.02925611473619938,
0.0009004203020595014,
-0.007937783375382423,
-0.005860277451574802,
-0.004861766472458839,
0.010684316977858543,
0.016197504475712776,
-0.016217626631259918,
-0.010332196950912476,
0.0031841679010540247... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "__slots__", "ctx": {"_type": "Store", "_fields": {}}}}], "ty... | class EmptyNodeList(tuple):
__slots__ = ()
def __add__(self, other):
NL = NodeList()
NL.extend(other)
return NL
def __radd__(self, other):
NL = NodeList()
NL.extend(other)
return NL
def item(self, index):
return None
def _get_length(self):
... | |
1,549 | [
0.002481022384017706,
-0.002920488826930523,
0.017629316076636314,
-0.032786473631858826,
0.012077094987034798,
-0.02255336567759514,
-0.008014246821403503,
-0.037528153508901596,
-0.004306010901927948,
0.040304262191057205,
-0.005790318362414837,
0.005450903438031673,
0.04368828237056732,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def find_lldb_root():
lldb_root = os.path.dirname(inspect.getfile(inspect.currentframe()))
while True:
parent = os.path.dirname(lldb_root)
if parent == lldb_root: # dirname('/') == '/'
break
lldb_root = parent
test_path = os.path.join(lldb_root, "use_lldb_suite_root.... | |
1,550 | [
0.056479983031749725,
0.07728166878223419,
-0.026897259056568146,
0.012489535845816135,
0.040196698158979416,
0.006511182989925146,
-0.042391955852508545,
-0.047187428921461105,
0.02173946611583233,
-0.041049227118492126,
0.03832113742828369,
-0.01626197248697281,
-0.002696119947358966,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "klass", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "ar... | def defproperty(klass, name, doc):
get = getattr(klass, ("_get_" + name))
def set(self, value, name=name):
raise xml.dom.NoModificationAllowedErr(
"attempt to modify read-only attribute " + repr(name))
assert not hasattr(klass, "_set_" + name), \
"expected not to find _set_" +... | |
1,551 | [
-0.03001539222896099,
-0.014004033990204334,
-0.04314564913511276,
-0.017534561455249786,
-0.010544353164732456,
0.027701064944267273,
-0.028149761259555817,
-0.03898930922150612,
0.026685595512390137,
0.012445406056940556,
0.04349988326430321,
-0.02427680790424347,
0.029070768505334854,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_parse_category(self):
incident = incident_binding.parseString(INCIDENT_CATEGORIES)
self.assertTrue(incident is not None)
self.assertEqual(2, len(incident.Categories.Category))
categories = incident.Categories.Category
self.assertEqual('Foo', categories[0].valueOf_)
... | |
1,552 | [
-0.030008144676685333,
0.04384822025895119,
0.01916121132671833,
-0.019634485244750977,
-0.008314277045428753,
-0.03351293131709099,
-0.01377611793577671,
-0.02045312151312828,
0.055616118013858795,
-0.012624910101294518,
0.017076246440410614,
-0.0570487342774868,
0.01820187084376812,
-0.0... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_description_output(self):
incident = incident_binding.IncidentType()
assets = incident_binding.AffectedAssetsType()
asset = incident_binding.AffectedAssetType()
description = StructuredText("A Description")
asset.Structured_Description = description.to_obj()
a... | |
1,553 | [
0.00420606043189764,
0.002583238761872053,
0.004415092524141073,
-0.06824608892202377,
0.012496717274188995,
0.020891889929771423,
-0.03238299489021301,
-0.0030196632724255323,
0.015389266423881054,
0.014451447874307632,
0.00035044620744884014,
-0.0426425039768219,
-0.005217323079705238,
-... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_add_description(self):
o1 = self.klass()
o2 = self.klass()
o1.add_description("Test")
o2.descriptions.add("Test")
self.assertEqual(
o1.descriptions.to_dict(),
o2.descriptions.to_dict()
) | |
1,554 | [
-0.005282482597976923,
-0.007929453626275063,
-0.0026985350996255875,
-0.0731068104505539,
-0.003741281107068062,
0.03258867934346199,
-0.03854722902178764,
-0.013234853744506836,
0.017199579626321793,
0.03251992538571358,
-0.009166997857391834,
-0.049226779490709305,
0.0035407531540840864,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_add_short_description(self):
o1 = self.klass()
o2 = self.klass()
o1.add_short_description("Test")
o2.short_descriptions.add("Test")
self.assertEqual(
o1.short_descriptions.to_dict(),
o2.short_descriptions.to_dict()
) | |
1,555 | [
0.003491652198135853,
0.04855724424123764,
0.055028438568115234,
-0.043040432035923004,
-0.02202068641781807,
0.0030551955569535494,
0.017923815175890923,
-0.0279797725379467,
-0.01946014165878296,
-0.01857559010386467,
0.014082997106015682,
-0.023254403844475746,
-0.019297197461128235,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cr", "annotation": null, "type_comment": null}}], "kwarg": null, ... | def init(self, cr):
# self._table = account_invoice_report
tools.drop_view_if_exists(cr, self._table)
cr.execute("""CREATE or REPLACE VIEW %s as (
WITH currency_rate (currency_id, rate, date_start, date_end) AS (
SELECT r.currency_id, r.rate, r.name AS date_start,
... | |
1,556 | [
0.015039892867207527,
-0.010411827825009823,
0.013657278381288052,
-0.035568028688430786,
-0.01718241721391678,
-0.04128846526145935,
0.017973991110920906,
0.03157849609851837,
0.04407479986548424,
0.021446360275149345,
0.00837484560906887,
-0.01111368928104639,
-0.0297420471906662,
-0.005... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "item1", "annotation": ... | class TestCase(unittest.TestCase):
def keyword_case(self, item1, item2):
result = get_translation_from_keyword(item1)
self.assertEqual(result, item2)
def translation_case(self, item1, item2):
result = get_keyword_from_translation(item1)
self.assertEqual(result, item2)
def ... | |
1,557 | [
0.03069080412387848,
0.025298884138464928,
-0.031467240303754807,
-0.033861253410577774,
-0.04143150895833969,
-0.006152180023491383,
-0.03176918625831604,
-0.0630207508802414,
-0.021632380783557892,
0.014504263177514076,
0.004173345398157835,
-0.01754530519247055,
-0.002673043869435787,
-... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "plotly_name", "annotat... | class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="scattergl", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.pop("edit_t... | |
1,558 | [
-0.006186039187014103,
-0.0032112542539834976,
0.022827178239822388,
-0.02620711550116539,
0.011583846993744373,
0.005262232385575771,
-0.011476648040115833,
-0.003865486243739724,
-0.0007685255259275436,
-0.00021538420696742833,
-0.007289563305675983,
-0.05211154744029045,
-0.00131161685567... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "config", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyar... | class unisports:
def initialize_unisports(config):
with dbapi2.connect(config) as connection:
cursor = connection.cursor()
query = """DROP TABLE IF EXISTS UNITEAMS CASCADE;"""
cursor.execute(query)
query = """DROP TABLE IF EXISTS UNILEAGUES CASCADE;"""
... | |
1,559 | [
0.02810099348425865,
0.0006952068652026355,
0.0036648379173129797,
-0.002435419475659728,
-0.03109843283891678,
-0.012774243019521236,
0.005061105825006962,
0.0471160002052784,
0.01579510048031807,
-0.011603368446230888,
-0.023768756538629532,
-0.024728873744606972,
-0.0031437985599040985,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "config", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": ... | def saveuniteam(config):
uni_name = None
team_name = None
if request.method == 'POST':
uni_name = request.form['uniname_text']
team_name = request.form['teamname_text']
with dbapi2.connection(config) as connection:
cursor = connection.cursor()
... | |
1,560 | [
-0.01574603281915188,
-0.006910349708050489,
0.062444545328617096,
-0.01848074048757553,
-0.007756514940410852,
0.005999802611768246,
0.00777490995824337,
0.013219799846410751,
-0.024072788655757904,
-0.009307818487286568,
-0.0013520249631255865,
-0.025507591664791107,
0.0030244276858866215,... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "config", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": ... | def initialize_unisports(config):
with dbapi2.connect(config) as connection:
cursor = connection.cursor()
query = """DROP TABLE IF EXISTS UNITEAMS CASCADE;"""
cursor.execute(query)
query = """DROP TABLE IF EXISTS UNILEAGUES CASCADE;"""
cursor.execute(q... | |
1,561 | [
0.027831461280584335,
0.011615562252700329,
0.008724577724933624,
0.003668223274871707,
-0.02881806716322899,
0.008386149071156979,
0.019353535026311874,
0.031135443598031998,
-0.008403357118368149,
-0.0159118864685297,
-0.0012045768089592457,
-0.029116343706846237,
-0.020030392333865166,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "config", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "updateuniteam", "annotation": null, "type_comment": null}}], "k... | def unisports_page_update_apply(config,updateuniteam):
with dbapi2.connect(config) as connection:
cursor = connection.cursor()
new_uniteam = request.form['name']
print(new_uniteam)
query="""UPDATE UNITEAMS set uni_name =%s where uni_name= %s""" % (new_uniteam,upda... | |
1,562 | [
0.014967169612646103,
0.01837954856455326,
0.0004395690921228379,
-0.011532265692949295,
-0.012478272430598736,
-0.020890969783067703,
0.010552474297583103,
-0.03191644698381424,
0.0005926616140641272,
-0.016802871599793434,
-0.010479271411895752,
0.038178108632564545,
-0.004991872236132622,... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cu_weights", "annotation": null, "type_comment": null}}, {"_type"... | def _canonical_to_opaque(self, cu_weights, cu_biases):
if not self._input_size:
raise RuntimeError(
"%s._canonical_to_opaque invoked before input shape is known" %
type(self).__name__)
with ops.device("/gpu:0"):
return cudnn_rnn_ops.cudnn_rnn_canonical_to_opaque_params(
... | |
1,563 | [
0.03730485960841179,
-0.02481759525835514,
0.04012962430715561,
-0.003273142734542489,
-0.013765133917331696,
0.000908661400899291,
0.032036446034908295,
0.002774324733763933,
-0.01932499371469021,
-0.017161579802632332,
-0.03389720246195793,
-0.015424124896526337,
0.05604696273803711,
0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _gather_saveables_for_checkpoint(self):
if self._direction == CUDNN_RNN_UNIDIRECTION:
# Skip one inheritance level to avoid NotImplementedError.
return super(_CudnnRNN, self)._gather_saveables_for_checkpoint
else:
raise NotImplementedError(
"Object-based saving does not currently... | |
1,564 | [
-0.03937968611717224,
0.014032823033630848,
0.009320671670138836,
-0.0218112263828516,
0.022774381563067436,
-0.01092390064150095,
-0.05237620323896408,
0.009783961810171604,
-0.01425227615982294,
0.034990619868040085,
0.02704153023660183,
-0.029601819813251495,
-0.011655411683022976,
-0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "filters", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs":... | def get_data(filters):
data = []
asset_categories = get_asset_categories(filters)
assets = get_assets(filters)
asset_costs = get_asset_costs(assets, filters)
asset_depreciations = get_accumulated_depreciations(assets, filters)
for asset_category in asset_categories:
row = frappe._dict()
row.asset_category... | |
1,565 | [
0.012048647738993168,
0.042571887373924255,
-0.002573626581579447,
-0.009396763518452644,
0.025491157546639442,
0.023884672671556473,
-0.015072621405124664,
0.005040941294282675,
0.026554273441433907,
0.03848479688167572,
0.017694974318146706,
-0.02375473454594612,
-0.002040592022240162,
-... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "assets", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "filters", "annotation": null, "type_comment": null}}], "kwarg":... | def get_accumulated_depreciations(assets, filters):
asset_depreciations = frappe._dict()
for d in assets:
asset = frappe.get_doc("Asset", d.name)
asset_depreciations.setdefault(d.asset_category, frappe._dict({
"accumulated_depreciation_as_on_from_date": asset.opening_accumulated_depreciation,
"depreciati... | |
1,566 | [
-0.018417803570628166,
0.011599043384194374,
0.03397458791732788,
-0.015199157409369946,
0.021493397653102875,
-0.0012814976507797837,
-0.02299543097615242,
0.011289100162684917,
0.02069469727575779,
0.024867014959454536,
0.038480691611766815,
-0.026464415714144707,
-0.010466556996107101,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "assets", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "filters", "annotation": null, "type_comment": null}}], "kwarg":... | def get_asset_costs(assets, filters):
asset_costs = frappe._dict()
for d in assets:
asset_costs.setdefault(d.asset_category, frappe._dict({
"cost_as_on_from_date": 0,
"cost_of_new_purchase": 0,
"cost_of_sold_asset": 0,
"cost_of_scrapped_asset": 0
}))
costs = asset_costs[d.asset_category]
if ... | |
1,567 | [
-0.026978235691785812,
0.030963381752371788,
0.024828670546412468,
-0.02492528036236763,
0.008471455425024033,
-0.01689460687339306,
-0.05328020453453064,
-0.04446457698941231,
-0.027678655460476875,
0.04103493317961693,
0.015566224232316017,
-0.027775265276432037,
0.0126437833532691,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "filters", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs":... | def get_columns(filters):
return [
{
"label": _("Asset Category"),
"fieldname": "asset_category",
"fieldtype": "Link",
"options": "Asset Category",
"width": 120
},
{
"label": _("Cost as on") + " " + formatdate(filters.day_before_from_date),
"fieldname": "cost_as_on_from_date",
"fieldtype"... | |
1,568 | [
-0.01995241828262806,
0.015391864813864231,
0.05775047466158867,
0.01904774270951748,
0.006298643536865711,
0.03256829455494881,
0.010478117503225803,
0.028280382975935936,
-0.015205972827970982,
0.08942648768424988,
0.03997919335961342,
-0.02855302393436432,
0.010304617695510387,
-0.00479... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"arg... | def test_kd_tree_query():
np.random.seed(0)
X = np.random.random((40, DIMENSION))
Y = np.random.random((10, DIMENSION))
def check_neighbors(dualtree, breadth_first, k, metric, kwargs):
kdt = KDTree(X, leaf_size=1, metric=metric, **kwargs)
dist1, ind1 = kdt.query(Y, k, dualtree=dualtree,... | |
1,569 | [
-0.015485295094549656,
0.03473358601331711,
0.03525812551379204,
0.015987027436494827,
-0.0030503065790981054,
0.058976396918296814,
0.011283284053206444,
0.010963999666273594,
-0.02967064641416073,
0.08921719342470169,
0.02967064641416073,
-0.025588367134332657,
-0.0028878136072307825,
0.... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "dualtree", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "breadth_first", "annotation": null, "type_comment": null}}, {... | def check_neighbors(dualtree, breadth_first, k, metric, kwargs):
kdt = KDTree(X, leaf_size=1, metric=metric, **kwargs)
dist1, ind1 = kdt.query(Y, k, dualtree=dualtree,
breadth_first=breadth_first)
dist2, ind2 = brute_force_neighbors(X, Y, k, metric, **kwargs)
... | |
1,570 | [
-0.013872746378183365,
-0.02662491612136364,
0.046929776668548584,
0.014242537319660187,
0.011065700091421604,
0.004997774492949247,
-0.012270321138203144,
0.007502264808863401,
-0.009480083361268044,
0.067055344581604,
0.007530278991907835,
-0.01471317932009697,
0.02280374802649021,
-0.01... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n_samples", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "n_features", "annotation": null, "type_comment": null}}], "k... | def test_kd_tree_query_radius(n_samples=100, n_features=10):
np.random.seed(0)
X = 2 * np.random.random(size=(n_samples, n_features)) - 1
query_pt = np.zeros(n_features, dtype=float)
eps = 1E-15 # roundoff error can cause test to fail
kdt = KDTree(X, leaf_size=5)
rad = np.sqrt(((X - query_pt) ... | |
1,571 | [
-0.016937319189310074,
-0.03764791041612625,
0.05409767106175423,
0.0124009158462286,
0.019565889611840248,
0.008654143661260605,
-0.008129489608108997,
0.01106543280184269,
-0.013280639424920082,
0.075253427028656,
-0.006825803313404322,
-0.013683403842151165,
0.008102991618216038,
-0.024... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n_samples", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "n_features", "annotation": null, "type_comment": null}}], "k... | def test_kd_tree_query_radius_distance(n_samples=100, n_features=10):
np.random.seed(0)
X = 2 * np.random.random(size=(n_samples, n_features)) - 1
query_pt = np.zeros(n_features, dtype=float)
eps = 1E-15 # roundoff error can cause test to fail
kdt = KDTree(X, leaf_size=5)
rad = np.sqrt(((X - q... | |
1,572 | [
-0.0016220274847000837,
0.012792390771210194,
-0.022751640528440475,
0.01946433074772358,
0.010564805939793587,
-0.0013584480620920658,
-0.001019174000248313,
0.011181176640093327,
0.04922312870621681,
0.052423931658267975,
-0.014911839738488197,
0.040918346494436264,
-0.019258873537182808,
... | 20 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "Y", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "X", "annotation": null, "type_comment": null}}, {"_type": "arg", "_f... | def compute_kernel_slow(Y, X, kernel, h):
d = np.sqrt(((Y[:, None, :] - X) ** 2).sum(-1))
norm = kernel_norm(h, X.shape[1], kernel)
if kernel == 'gaussian':
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
elif kernel == 'tophat':
return norm * (d < h).sum(-1)
elif kernel == '... | |
1,573 | [
-0.04459566995501518,
-0.015290948562324047,
0.06692865490913391,
-0.003125563496723771,
0.015537009574472904,
0.01668529585003853,
0.011160634458065033,
0.01820853166282177,
-0.00206662155687809,
0.06852219253778458,
-0.0073232511058449745,
-0.02950391359627247,
0.005630115512758493,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n_samples", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "n_features", "annotation": null, "type_comment": null}}], "k... | def test_kd_tree_two_point(n_samples=100, n_features=3):
np.random.seed(0)
X = np.random.random((n_samples, n_features))
Y = np.random.random((n_samples, n_features))
r = np.linspace(0, 1, 10)
kdt = KDTree(X, leaf_size=10)
D = DistanceMetric.get_metric("euclidean").pairwise(Y, X)
counts_tru... | |
1,574 | [
-0.02642880007624626,
-0.03403490409255028,
0.0377657450735569,
0.009754345752298832,
0.016981346532702446,
-0.004913277458399534,
0.0010793866822496057,
0.030400341376662254,
-0.004669569432735443,
0.06691444665193558,
0.012552476488053799,
-0.009591873735189438,
0.005298397038131952,
-0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n_samples", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "n_features", "annotation": null, "type_comment": null}}], "k... | def test_kd_tree_kde(n_samples=100, n_features=3):
np.random.seed(0)
X = np.random.random((n_samples, n_features))
Y = np.random.random((n_samples, n_features))
kdt = KDTree(X, leaf_size=10)
for kernel in ['gaussian', 'tophat', 'epanechnikov',
'exponential', 'linear', 'cosine']:
... | |
1,575 | [
-0.0028036499861627817,
-0.012302416376769543,
0.0034989551641047,
-0.01942368783056736,
0.04443224519491196,
-0.02752062864601612,
-0.0010955262696370482,
-0.03075043298304081,
-0.025187991559505463,
0.012661282904446125,
0.02581600844860077,
0.010160427540540695,
-0.01244820561259985,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n_nodes", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value... | def test_node_heap(n_nodes=50):
vals = np.random.random(n_nodes).astype(DTYPE)
i1 = np.argsort(vals)
vals2, i2 = nodeheap_sort(vals)
assert_array_almost_equal(i1, i2)
assert_array_almost_equal(vals[i1], vals2) | |
1,576 | [
-0.044412415474653244,
-0.016610758379101753,
0.04401441290974617,
0.028539132326841354,
0.03057597018778324,
-0.030412087216973305,
0.028422072529792786,
0.01384815201163292,
-0.021784793585538864,
0.023482156917452812,
0.04724525660276413,
-0.01213908102363348,
0.023997219279408455,
-0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n_pts", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "n_nbrs", "annotation": null, "type_comment": null}}], "kwarg": n... | def test_neighbors_heap(n_pts=5, n_nbrs=10):
heap = NeighborsHeap(n_pts, n_nbrs)
for row in range(n_pts):
d_in = np.random.random(2 * n_nbrs).astype(DTYPE)
i_in = np.arange(2 * n_nbrs, dtype=ITYPE)
for d, i in zip(d_in, i_in):
heap.push(row, d, i)
ind = np.argsort(d... | |
1,577 | [
0.03288654983043671,
0.05234503373503685,
0.005160648841410875,
-0.035108283162117004,
-0.0064332629553973675,
-0.01528357807546854,
-0.010937768034636974,
-0.048829320818185806,
0.022498110309243202,
-0.03852633386850357,
0.011578653007745743,
-0.04755976051092148,
0.02467101439833641,
0.... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "X86PagetableWalker"}}, "targets": [{"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment... | class X86PagetableWalker(MemObject):
type = 'X86PagetableWalker'
cxx_class = 'X86ISA::Walker'
cxx_header = 'arch/x86/pagetable_walker.hh'
port = MasterPort("Port for the hardware table walker")
system = Param.System(Parent.any, "system object")
num_squash_per_cycle = Param.Unsigned(4,
... | |
1,578 | [
-0.03699294477701187,
-0.01334311906248331,
0.01856062188744545,
-0.03440557420253754,
0.031582992523908615,
-0.010178404860198498,
-0.001483459840528667,
-0.024718984961509705,
-0.05208948627114296,
-0.019736697897315025,
0.007484121713787317,
-0.004565313924103975,
0.023307692259550095,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n_rows", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "n_pts", "annotation": null, "type_comment": null}}], "kwarg": n... | def test_simultaneous_sort(n_rows=10, n_pts=201):
dist = np.random.random((n_rows, n_pts)).astype(DTYPE)
ind = (np.arange(n_pts) + np.zeros((n_rows, 1))).astype(ITYPE)
dist2 = dist.copy()
ind2 = ind.copy()
# simultaneous sort rows using function
simultaneous_sort(dist, ind)
# simultaneous... | |
1,579 | [
0.0055315434001386166,
-0.01168679166585207,
0.060979899019002914,
-0.015561939217150211,
0.009048827923834324,
0.0031875392887741327,
0.021205954253673553,
0.01470306795090437,
-0.05349544435739517,
0.03402768447995186,
-0.007361758500337601,
0.01499958336353302,
0.010357585735619068,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "spec", "annotation": null, "type_comment": null}}, {"_type": "arg... | def install(self, spec, prefix):
with working_dir('lib'):
install_tree('include', prefix.include)
libfiles = glob.glob('lib*.a')
libfiles += glob.glob('lib*.so')
libfiles += glob.glob('lib*.dylib')
mkdirp(prefix.lib)
for lib in libfiles:
... | |
1,580 | [
0.003528330707922578,
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0.07373491674661636,
-0.03762679919600487,
0.0037607161793857813,
0.005230308510363102,
-0.00027554857661016285,
-0.0021143800113350153,
-0.001845991238951683,
0.014597732573747635,
0.03775772079825401,
0.01168473158031702,
0.02230900153517723,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "spec", "annotation": null, "type_comment": null}}, {"_type": "arg... | def edit(self, spec, prefix):
# Set fortran name mangling in Make.defs
defs_file = FileFilter('./lib/mk/Make.defs')
defs_file.filter('^\s*#\s*cppcallsfort\s*=\s*',
'cppcallsfort = -DCH_FORT_UNDERSCORE')
# Set remaining variables in Make.defs.local
# Mak... | |
1,581 | [
0.015452975407242775,
0.03562460467219353,
0.0038879490457475185,
0.02449500560760498,
-0.009610244072973728,
-0.0062781572341918945,
-0.039750341325998306,
-0.0032487071584910154,
-0.01865227334201336,
0.05578388273715973,
0.017565252259373665,
-0.03545166924595833,
0.028040172532200813,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "stopped", "annotation": null, "type_comment": null}}, {"_type": "... | def containers(self, stopped=False, one_off=False, filters={}):
filters.update({'label': self.labels(one_off=one_off)})
return list(filter(None, [
Container.from_ps(self.client, container)
for container in self.client.containers(
all=stopped,
filt... | |
1,582 | [
0.04725056141614914,
0.013374460861086845,
0.0000702028555679135,
-0.016894055530428886,
-0.025253092870116234,
-0.013539441861212254,
0.003778065089136362,
-0.004218014422804117,
-0.05011023208498955,
-0.0016181886894628406,
0.006456256844103336,
-0.0024527176283299923,
0.03521794453263283,... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "do_build", "annotation": null, "type_comment": null}}], "kwarg": ... | def ensure_image_exists(self, do_build=BuildAction.none):
if self.can_be_built() and do_build == BuildAction.force:
self.build()
return
try:
self.image()
return
except NoSuchImageError:
pass
if not self.can_be_built():
... | |
1,583 | [
0.0284297913312912,
-0.0010133561445400119,
-0.04444148391485214,
-0.01304538268595934,
-0.008053690195083618,
-0.03153431415557861,
-0.0215296670794487,
0.008016478270292282,
-0.015097346156835556,
0.0024081331212073565,
0.012418098747730255,
-0.026324668899178505,
0.008766029961407185,
-... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def image(self):
try:
return self.client.inspect_image(self.image_name)
except APIError as e:
if e.response.status_code == 404 and e.explanation and 'No such image' in str(e.explanation):
raise NoSuchImageError("Image '{}' not found".format(self.image_name))
... | |
1,584 | [
0.05131936073303223,
0.04253518953919411,
0.01138230785727501,
-0.014265000820159912,
-0.012662816792726517,
0.008889335207641125,
0.0016841484466567636,
0.0004272231599316001,
0.02017885260283947,
0.011487470008432865,
0.015997091308236122,
0.004450853448361158,
0.0671556144952774,
-0.015... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "strategy", "annotation": null, "type_comment": null}}], "kwarg": ... | def convergence_plan(self, strategy=ConvergenceStrategy.changed):
containers = self.containers(stopped=True)
if not containers:
return ConvergencePlan('create', [])
if strategy is ConvergenceStrategy.never:
return ConvergencePlan('start', containers)
if (
... | |
1,585 | [
0.03472546115517616,
0.03203628212213516,
0.03645588830113411,
0.0013694341760128736,
0.036128509789705276,
0.016345519572496414,
-0.0036917724646627903,
-0.009546578861773014,
0.013796648010611534,
-0.003931459970772266,
0.03797585889697075,
-0.017187349498271942,
0.041273023933172226,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "containers", "annotation": null, "type_comment": null}}], "kwarg"... | def _containers_have_diverged(self, containers):
config_hash = None
try:
config_hash = self.config_hash
except NoSuchImageError as e:
log.debug(
'Service %s has diverged: %s',
self.name, six.text_type(e),
)
return T... | |
1,586 | [
0.05162797123193741,
0.03963962569832802,
0.02680153027176857,
-0.0031722034327685833,
-0.01614522375166416,
0.01022569090127945,
-0.025079067796468735,
0.006694640964269638,
-0.008216150104999542,
-0.019257141277194023,
0.01422754768282175,
0.01981981284916401,
0.07271092385053635,
-0.027... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "plan", "annotation": null, "type_comment": null}}, {"_type": "arg... | def execute_convergence_plan(self,
plan,
do_build=BuildAction.none,
timeout=DEFAULT_TIMEOUT,
detached=False,
start=True):
(action, containers) = pl... | |
1,587 | [
-0.02929476462304592,
-0.022986693307757378,
0.047933176159858704,
0.03388801962137222,
0.01096257008612156,
0.0027738159988075495,
-0.03327558562159538,
0.03523537516593933,
0.0004854816070292145,
0.0321936197578907,
-0.001577017828822136,
0.026804199442267418,
0.06050848960876465,
0.0002... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "container", "annotation": null, "type_comment": null}}], "kwarg":... | def connect_container_to_networks(self, container):
connected_networks = container.get('NetworkSettings.Networks')
for network, netdefs in self.networks.items():
aliases = netdefs.get('aliases', [])
ipv4_address = netdefs.get('ipv4_address', None)
ipv6_address = netd... | |
1,588 | [
0.0744333267211914,
-0.014080153778195381,
0.027259178459644318,
0.0002852991165127605,
0.0022302963770926,
0.013032590970396996,
-0.016749750822782516,
0.02155953273177147,
-0.006307909265160561,
0.01604011096060276,
0.013832343742251396,
-0.0015361447585746646,
0.034761086106300354,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def duplicate_containers(self):
containers = sorted(
self.containers(stopped=True),
key=lambda c: c.get('Created'),
)
numbers = set()
for c in containers:
if c.number in numbers:
yield c
else:
numbers.add(c... | |
1,589 | [
0.022619953379034996,
-0.032777123153209686,
-0.02118673361837864,
-0.0733642578125,
0.00748805608600378,
0.008765491656959057,
0.023741602897644043,
0.018195664510130882,
-0.040898703038692474,
0.015588865615427494,
0.0225368682295084,
-0.03730526566505432,
0.05142975598573685,
-0.0518036... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def config_dict(self):
return {
'options': self.options,
'image_id': self.image()['Id'],
'links': self.get_link_names(),
'net': self.network_mode.id,
'networks': self.networks,
'volumes_from': [
(v.source.name, v.mode)
... | |
1,590 | [
0.04023144394159317,
-0.014949054457247257,
0.042582154273986816,
0.03308136388659477,
0.01623459905385971,
-0.014728675596415997,
-0.0014668989460915327,
0.02852686122059822,
-0.008637639693915844,
0.009182466194033623,
0.016687601804733276,
-0.014275673776865005,
0.00686236284673214,
-0.... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "one_off", "annotation": null, "type_comment": null}}], "kwarg": n... | def _next_container_number(self, one_off=False):
containers = filter(None, [
Container.from_ps(self.client, container)
for container in self.client.containers(
all=True,
filters={'label': self.labels(one_off=one_off)})
])
numbers = [c.numbe... | |
1,591 | [
-0.032068077474832535,
-0.038147225975990295,
0.0250849649310112,
-0.023141445592045784,
-0.0041836523450911045,
-0.04872358962893486,
-0.029536981135606766,
-0.02763865888118744,
-0.01696060039103031,
0.02687029168009758,
-0.0026921138633042574,
-0.02501716837286949,
0.05279142037034035,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "link_to_self", "annotation": null, "type_comment": null}}], "kwar... | def _get_links(self, link_to_self):
links = {}
for service, link_name in self.links:
for container in service.containers():
links[link_name or service.name] = container.name
links[container.name] = container.name
links[container.name_without_p... | |
1,592 | [
0.04283584654331207,
0.012128095142543316,
0.037180256098508835,
-0.0002922708517871797,
0.0008810673607513309,
-0.020580057054758072,
0.002187612932175398,
-0.005289022345095873,
-0.05739374831318855,
0.02488458901643753,
-0.0052785491570830345,
0.013468679040670395,
0.03219496086239815,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "override_options", "annotation": null, "type_comment": null}}, {"... | def _get_container_create_options(
self,
override_options,
number,
one_off=False,
previous_container=None):
add_config_hash = (not one_off and not override_options)
container_options = dict(
(k, self.options[k])
for k i... | |
1,593 | [
0.05500899255275726,
-0.004686504602432251,
-0.0003091695252805948,
-0.029918337240815163,
-0.030560551211237907,
0.003667819779366255,
0.05642629414796829,
-0.009312110021710396,
-0.04832110181450844,
0.00373425567522645,
0.03328442573547363,
-0.016741866245865822,
-0.011593078263103962,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "no_cache", "annotation": null, "type_comment": null}}, {"_type": ... | def build(self, no_cache=False, pull=False, force_rm=False):
log.info('Building %s' % self.name)
build_opts = self.options.get('build', {})
path = build_opts.get('context')
# python2 os.path() doesn't support unicode, so we need to encode it to
# a byte string
if not six... | |
1,594 | [
0.04136892780661583,
0.0036827099975198507,
0.08273785561323166,
-0.0069385976530611515,
-0.003644405398517847,
-0.021833600476384163,
-0.02499646320939064,
-0.03436466306447983,
-0.04697233811020851,
0.006331196986138821,
0.021209781989455223,
-0.00714106485247612,
0.012640505097806454,
0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "override_options", "annotation": null, "type_comment": null}}, {"... | def _get_container_host_config(self, override_options, one_off=False):
options = dict(self.options, **override_options)
logging_dict = options.get('logging', None)
log_config = get_log_config(logging_dict)
return self.client.create_host_config(
links=self._get_links(link_to... | |
1,595 | [
0.00761118670925498,
0.02968721091747284,
-0.004788342397660017,
-0.04917839914560318,
-0.029421048238873482,
0.018457254394888878,
-0.0013730335049331188,
-0.006869006436318159,
-0.008332893252372742,
0.001741564366966486,
0.005369290243834257,
-0.03738541156053543,
0.029093466699123383,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "image_type", "annotation": null, "type_comment": null}}], "kwarg"... | def remove_image(self, image_type):
if not image_type or image_type == ImageType.none:
return False
if image_type == ImageType.local and self.options.get('image'):
return False
log.info("Removing image %s", self.image_name)
try:
self.client.remove_ima... | |
1,596 | [
0.007729317061603069,
0.01370345801115036,
0.08778062462806702,
-0.007849236018955708,
-0.01584019511938095,
0.016897661611437798,
-0.02701445482671261,
-0.0644945576786995,
0.004837636835873127,
-0.009631666354835033,
0.0276249498128891,
-0.015447732992470264,
0.03187661990523338,
0.02276... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def specifies_host_port(self):
def has_host_port(binding):
_, external_bindings = split_port(binding)
# there are no external bindings
if external_bindings is None:
return False
# we only need to check the first binding from the range
... | |
1,597 | [
-0.004261740017682314,
0.006621635053306818,
0.06574490666389465,
-0.010130672715604305,
-0.015868352726101875,
0.01908273808658123,
-0.018954163417220116,
-0.06565918773412704,
-0.005065336357802153,
-0.011893227696418762,
0.03861549124121666,
-0.005507314577698708,
0.04461567848920822,
0... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "binding", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs":... | def has_host_port(binding):
_, external_bindings = split_port(binding)
# there are no external bindings
if external_bindings is None:
return False
# we only need to check the first binding from the range
external_binding = external_bindings[0... | |
1,598 | [
0.015730084851384163,
0.0043651266023516655,
-0.02840123139321804,
-0.02021801471710205,
-0.00018385723524261266,
0.014356912113726139,
0.0010843040654435754,
-0.007664090488106012,
-0.04217761754989624,
-0.0069607580080628395,
0.02855752781033516,
-0.002387701766565442,
-0.04284745827317238... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "ignore_pull_failures", "annotation": null, "type_comment": null}}... | def pull(self, ignore_pull_failures=False):
if 'image' not in self.options:
return
repo, tag, separator = parse_repository_tag(self.options['image'])
tag = tag or 'latest'
log.info('Pulling %s (%s%s%s)...' % (self.name, repo, separator, tag))
output = self.client.pul... | |
1,599 | [
0.03614945337176323,
-0.02893366664648056,
0.00831460952758789,
-0.007092391140758991,
0.010388854891061783,
0.006822092924267054,
-0.05490580201148987,
0.027076834812760353,
-0.007051258813589811,
0.014255295507609844,
-0.005303134210407734,
-0.005056340247392654,
0.07032455503940582,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def mode(self):
containers = self.service.containers()
if containers:
return 'container:' + containers[0].id
log.warn("Service %s is trying to use reuse the network stack "
"of another service that is not running." % (self.id))
return None | |
1,600 | [
0.023087866604328156,
0.04090218245983124,
0.0267107542604208,
0.008628473617136478,
-0.05393600091338158,
0.011083032935857773,
-0.00113684160169214,
0.0069670905359089375,
-0.013687653467059135,
0.03288466855883598,
0.0302050169557333,
0.022852057591080666,
0.03869415074586868,
0.0005473... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "volumes_option", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "container_volumes", "annotation": null, "type_comment":... | def warn_on_masked_volume(volumes_option, container_volumes, service):
container_volumes = dict(
(volume.internal, volume.external)
for volume in container_volumes)
for volume in volumes_option:
if (
volume.external and
volume.internal in container_volumes and
... |