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 |
|---|---|---|---|---|---|
1,201 | [
-0.012388193048536777,
-0.0045485179871320724,
0.023663882166147232,
-0.0048556155525147915,
0.016629613935947418,
0.03819596394896507,
-0.0071617430076003075,
0.05381736904382706,
0.009966179728507996,
-0.0037894658744335175,
0.03061703033745289,
-0.03372276946902275,
0.011084477417171001,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Global", "_fields": {"names": ["CLIENT"]}}, {"_type": "If", "_... | def client():
global CLIENT
if CLIENT is None:
try:
CLIENT = Elasticsearch(
settings.ELASTIC_URI,
request_timeout=settings.ELASTIC_TIMEOUT,
retry_on_timeout=True,
**settings.ELASTIC_KWARGS
)
logging.getLo... | |
1,202 | [
0.05141131952404976,
0.0015883090673014522,
0.030601974576711655,
-0.015420734882354736,
-0.0106508182361722,
-0.0021288329735398293,
0.04632873088121414,
0.012307316064834595,
-0.005032694432884455,
0.027209147810935974,
0.006436393596231937,
-0.023856235668063164,
-0.0021920327562838793,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "m1", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "m2", "annotation": null, "type_comment": null}}, {"_type": "arg", "... | def univariant(m1, m2, condition_constraints, P=5.0e9, T=2000.0):
composition = m1.formula
assemblage = burnman.Composite([m1, m2])
assemblage.set_state(P, T)
equality_constraints = [condition_constraints, ("phase_fraction", (m1, 0.0))]
sols, prm = equilibrate(
composition, assemblage, equal... | |
1,203 | [
0.009891398251056671,
0.02122422680258751,
0.01144065335392952,
-0.024833479896187782,
0.019533099606633186,
0.027421247214078903,
-0.04417363181710243,
0.03196118772029877,
0.021190177649259567,
0.037182122468948364,
0.043515339493751526,
-0.028647031635046005,
0.08190054446458817,
0.0096... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "func", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def requires_search(func):
def wrapped(*args, **kwargs):
if client() is not None:
try:
return func(*args, **kwargs)
except ConnectionError as e:
raise exceptions.SearchUnavailableError(str(e))
except NotFoundError as e:
rais... | |
1,204 | [
0.012404772453010082,
0.017249174416065216,
0.010409366339445114,
-0.030463194474577904,
0.006219014525413513,
0.029110752046108246,
-0.05964045971632004,
0.037624482065439224,
0.008447217755019665,
0.0176260843873024,
0.03622769936919212,
-0.045672621577978134,
0.06349824368953705,
0.0010... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment"... | def wrapped(*args, **kwargs):
if client() is not None:
try:
return func(*args, **kwargs)
except ConnectionError as e:
raise exceptions.SearchUnavailableError(str(e))
except NotFoundError as e:
raise exceptions.IndexNotFoundError... | |
1,205 | [
0.000012428496120264754,
0.02934928983449936,
0.056509967893362045,
-0.00016243605932686478,
-0.023571353405714035,
-0.0006743661360815167,
0.00001857328061305452,
0.012672064825892448,
-0.019533364102244377,
-0.0030996219720691442,
0.027510855346918106,
-0.05537188798189163,
0.0338359437882... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "count_query", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "clean", "annotation": null, "type_comment": null}}], "kwar... | def get_counts(count_query, clean=True):
count_query['aggregations'] = {
'counts': {
'terms': {
'field': '_type',
}
}
}
res = client().search(index=INDEX, doc_type=None, search_type='count', body=count_query)
counts = {x['key']: x['doc_count'] for... | |
1,206 | [
-0.014902465976774693,
0.03809668496251106,
0.04711035639047623,
-0.006631339434534311,
-0.058578550815582275,
-0.011911659501492977,
-0.018625503405928612,
0.018367676064372063,
-0.049585506319999695,
-0.030444344505667686,
0.010060453787446022,
-0.05870230868458748,
0.00832784827798605,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "query", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "doc_type", "annotation": null, "type_comment": null}}], "kwarg":... | def get_aggregations(query, doc_type):
query['aggregations'] = {
'licenses': {
'terms': {
'field': 'license.id'
}
}
}
res = client().search(index=INDEX, doc_type=doc_type, search_type='count', body=query)
ret = {
doc_type: {
it... | |
1,207 | [
0.0011258214944973588,
0.0069352928549051285,
0.0055476524867117405,
-0.01904878206551075,
-0.01345167588442564,
-0.04626631736755371,
-0.016279319301247597,
-0.007360021583735943,
-0.024459706619381905,
0.053853247314691544,
0.0030196451116353273,
-0.02438988909125328,
0.0032901912927627563... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "results", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs":... | def format_results(results):
ret = []
for result in results:
if result.get('category') == 'user':
result['url'] = '/profile/' + result['id']
elif result.get('category') == 'file':
parent_info = load_parent(result.get('parent_id'))
result['parent_url'] = parent... | |
1,208 | [
0.054742004722356796,
0.011855034157633781,
-0.020245695486664772,
0.007174445781856775,
-0.012450858019292355,
-0.009084764868021011,
-0.018255524337291718,
-0.014594592154026031,
-0.024103188887238503,
0.0665847510099411,
0.02383291907608509,
0.0019487097160890698,
0.022506138309836388,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "result", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "parent_id", "annotation": null, "type_comment": null}}], "kwarg... | def format_result(result, parent_id=None):
parent_info = load_parent(parent_id)
formatted_result = {
'contributors': result['contributors'],
'groups': result.get('groups'),
'wiki_link': result['url'] + 'wiki/',
# TODO: Remove unescape_entities when mako html safe comes in
... | |
1,209 | [
0.05452336370944977,
0.009443052113056183,
-0.016801685094833374,
0.02176639437675476,
-0.01633426919579506,
-0.01700381003320217,
-0.025366755202412605,
-0.007061760872602463,
-0.03799960017204285,
0.04166312515735626,
0.006332213990390301,
-0.008211350068449974,
0.004813114181160927,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "result", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": ... | def format_preprint_result(result):
parent_info = None
formatted_result = {
'contributors': result['contributors'],
# TODO: Remove unescape_entities when mako html safe comes in
'title': unescape_entities(result['title']),
'url': result['url'],
'is_component': False,
... | |
1,210 | [
-0.005515689961612225,
0.008605965413153172,
-0.020977705717086792,
-0.02074367366731167,
0.022041482850909233,
-0.01189303956925869,
-0.03887045383453369,
0.006260334514081478,
-0.03410472720861435,
-0.023466946557164192,
-0.01136115100234747,
-0.016286443918943405,
-0.012786613777279854,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "node", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def get_doctype_from_node(node):
if isinstance(node, Preprint):
return 'preprint'
if isinstance(node, OSFGroup):
return 'group'
if node.is_registration:
return 'registration'
elif node.parent_node is None:
# ElasticSearch categorizes top-level projects differently than ch... | |
1,211 | [
0.02169407717883587,
0.002789870137348771,
-0.05027366802096367,
-0.04072355851531029,
0.01801551692187786,
-0.007115421816706657,
-0.00886038038879633,
-0.024405837059020996,
-0.008105803281068802,
0.04508595168590546,
0.02652808465063572,
0.006791189778596163,
0.004521564580500126,
-0.04... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "node", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "category", "annotation": null, "type_comment": null}}], "kwarg": ... | def serialize_node(node, category):
elastic_document = {}
parent_id = node.parent_id
try:
normalized_title = six.u(node.title)
except TypeError:
normalized_title = node.title
normalized_title = unicodedata.normalize('NFKD', normalized_title).encode('ascii', 'ignore')
elastic_doc... | |
1,212 | [
0.026864787563681602,
0.0037214013282209635,
-0.033934466540813446,
-0.03985205292701721,
0.021418513730168343,
-0.013105093501508236,
-0.04186822101473808,
0.0003101167967543006,
-0.032939475029706955,
-0.015422377735376358,
0.015618757344782352,
-0.01925833337008953,
0.025961438193917274,
... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "preprint", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "category", "annotation": null, "type_comment": null}}], "kwar... | def serialize_preprint(preprint, category):
elastic_document = {}
try:
normalized_title = six.u(preprint.title)
except TypeError:
normalized_title = preprint.title
normalized_title = unicodedata.normalize('NFKD', normalized_title).encode('ascii', 'ignore')
elastic_document = {
... | |
1,213 | [
0.005226396955549717,
0.03041801042854786,
0.007898028939962387,
0.001761157182045281,
-0.00019075805903412402,
0.06835898756980896,
0.037984464317560196,
0.03004838526248932,
-0.005957494489848614,
-0.014219713397324085,
0.012610754929482937,
0.00795238558202982,
0.03028755448758602,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "group", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "index", "annotation": null, "type_comment": null}}, {"_type": "a... | def update_group(group, index=None, bulk=False, async_update=False, deleted_id=None):
index = index or INDEX
if deleted_id:
delete_group_doc(deleted_id, index=index)
else:
category = 'group'
elastic_document = serialize_group(group, category)
if bulk:
return elas... | |
1,214 | [
0.001057166955433786,
0.0024416446685791016,
-0.024807358160614967,
-0.01114407554268837,
0.017870232462882996,
0.016703704372048378,
-0.003716760315001011,
0.003648506011813879,
0.020029552280902863,
-0.0037260677199810743,
0.02328094281256199,
-0.010244359262287617,
0.03901667520403862,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "group", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "category", "annotation": null, "type_comment": null}}], "kwarg":... | def serialize_group(group, category):
elastic_document = {}
try:
normalized_title = six.u(group.name)
except TypeError:
normalized_title = group.name
normalized_title = unicodedata.normalize('NFKD', normalized_title).encode('ascii', 'ignore')
elastic_document = {
'id': group... | |
1,215 | [
0.04940853267908096,
0.020662160590291023,
0.03534020110964775,
0.02060570754110813,
-0.06666087359189987,
0.039021000266075134,
0.022028347477316856,
-0.002725316444411874,
-0.008693914860486984,
0.025065572932362556,
0.03852420300245285,
-0.03619829937815666,
-0.01613455079495907,
0.0337... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cgms", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "actions", "annotation": null, "type_comment": null}}, {"_type": "... | def bulk_update_cgm(cgms, actions=None, op='update', index=None):
index = index or INDEX
if not actions and cgms:
actions = ({
'_op_type': op,
'_index': index,
'_id': cgm._id,
'_type': 'collectionSubmission',
'doc': serialize_cgm(cgm),
... | |
1,216 | [
0.045081909745931625,
0.012014572508633137,
0.009769457392394543,
-0.0018939148867502809,
-0.056345973163843155,
-0.0016694033984094858,
-0.03312506899237633,
-0.04513322561979294,
0.011045966297388077,
-0.00010954958997899666,
0.04302923381328583,
-0.05706441029906273,
0.051265597343444824,... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cgm", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}... | def serialize_cgm(cgm):
obj = cgm.guid.referent
contributors = []
if hasattr(obj, '_contributors'):
contributors = obj._contributors.filter(contributor__visible=True).order_by('contributor___order').values('fullname', 'guids___id', 'is_active')
return {
'id': cgm._id,
'abstract'... | |
1,217 | [
0.0626903772354126,
-0.03145634010434151,
-0.036813922226428986,
-0.031434111297130585,
0.010692932642996311,
-0.03045596368610859,
-0.005443725734949112,
0.001112920930609107,
0.0019465695368126035,
0.03983728960156441,
0.03656938672065735,
0.022286206483840942,
0.03003358095884323,
-0.07... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "node", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def serialize_contributors(node):
return {
'contributors': [
{
'fullname': x['user__fullname'],
'url': '/{}/'.format(x['user__guids___id'])
} for x in
node.contributor_set.filter(visible=True, user__is_active=True).order_by('_order').values... | |
1,218 | [
0.000834811246022582,
-0.008861273527145386,
0.0016075108433142304,
-0.0017228611977770925,
-0.040437694638967514,
-0.00793847069144249,
0.014173305593430996,
0.046495068818330765,
-0.012966563925147057,
-0.00041185994632542133,
0.03076009638607502,
-0.033078934997320175,
-0.0014596256660297... | 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": "user_id", "annotation": null, "type_comment": null}}], "kwarg": n... | def update_contributors_async(self, user_id):
OSFUser = apps.get_model('osf.OSFUser')
user = OSFUser.objects.get(id=user_id)
# If search updated so group member names are displayed on project search results,
# then update nodes that the user has group membership as well
p = Paginator(user.visible_co... | |
1,219 | [
0.0002591789816506207,
0.02512764371931553,
-0.0032240645959973335,
-0.06492836773395538,
-0.03209735453128815,
-0.008058728650212288,
-0.011921875178813934,
0.024141795933246613,
-0.03737049177289009,
-0.0072161732241511345,
0.03182223439216614,
0.00296613946557045,
0.03523831069469452,
-... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "file_", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "index", "annotation": null, "type_comment": null}}, {"_type": "a... | def update_file(file_, index=None, delete=False):
index = index or INDEX
target = file_.target
# TODO: Can remove 'not file_.name' if we remove all base file nodes with name=None
file_node_is_qa = bool(
set(settings.DO_NOT_INDEX_LIST['tags']).intersection(file_.tags.all().values_list('name', fl... | |
1,220 | [
-0.0030092657543718815,
0.02113705687224865,
-0.02885454148054123,
0.005192096810787916,
0.003600673284381628,
0.005072279367595911,
0.021653195843100548,
0.04790247231721878,
0.0005576128023676574,
0.02341051958501339,
0.010715996846556664,
-0.010654551908373833,
0.00978203397244215,
-0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "user", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "index", "annotation": null, "type_comment": null}}], "kwarg": nul... | def update_user(user, index=None):
index = index or INDEX
if not user.is_active:
try:
client().delete(index=index, doc_type='user', id=user._id, refresh=True, ignore=[404])
# update files in their quickfiles node if the user has been marked as spam
if user.spam_statu... | |
1,221 | [
0.0012933968100696802,
0.03437366709113121,
0.0075411610305309296,
-0.007962062954902649,
-0.019127659499645233,
0.053080420941114426,
0.044522080570459366,
0.011311741545796394,
-0.024342166259884834,
0.007044263184070587,
0.0646786093711853,
-0.029930811375379562,
0.0006368335452862084,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "institution", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "index", "annotation": null, "type_comment": null}}], "kwar... | def update_institution(institution, index=None):
index = index or INDEX
id_ = institution._id
if institution.is_deleted:
client().delete(index=index, doc_type='institution', id=id_, refresh=True, ignore=[404])
else:
institution_doc = {
'id': id_,
'url': '/institut... | |
1,222 | [
0.04786229133605957,
-0.006103561259806156,
0.025356879457831383,
0.008978597819805145,
-0.05957452952861786,
0.022799983620643616,
0.039802759885787964,
-0.004371469374746084,
-0.03492462635040283,
-0.005237515550106764,
0.04684895649552345,
-0.08017110079526901,
0.0017851149896159768,
0.... | 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": "cgm_id", "annotation": null, "type_comment": null}}, {"_type": "a... | def update_cgm_async(self, cgm_id, collection_id=None, op='update', index=None):
CollectionSubmission = apps.get_model('osf.CollectionSubmission')
if collection_id:
try:
cgm = CollectionSubmission.objects.get(
guid___id=cgm_id,
collection_id=collection_id,
... | |
1,223 | [
0.012830386869609356,
-0.016991905868053436,
0.007642899174243212,
-0.05418043211102486,
0.035067420452833176,
0.05072210729122162,
0.030986595898866653,
0.010490253567695618,
-0.005789813119918108,
0.011885111220180988,
0.03737296909093857,
-0.08636591583490372,
0.016127323731780052,
-0.0... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "sessions"}}, "targets": [{"_type": "Name", "_fields": {"id": "COLLECTION_NAME", "ctx": {"_type": "Store", "_fields": {}}}}], "type_commen... | class Session(object):
COLLECTION_NAME = 'sessions'
def __init__(self, player_name, server_name, login, logout=None, session_length=None, _id=None):
self.player_name = player_name
self.server_name = server_name
self.login = login
self.logout = logout
self.session_length ... | |
1,224 | [
0.0022466382943093777,
0.011345854960381985,
-0.0031678262166678905,
-0.05102453753352165,
-0.019160710275173187,
0.023306718096137047,
-0.019574251025915146,
0.043686844408512115,
-0.029965780675411224,
-0.011473097838461399,
0.04559548944234848,
-0.0197439081966877,
-0.007761836983263493,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "elastic_document_id", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "node", "annotation": null, "type_comment": null}},... | def delete_doc(elastic_document_id, node, index=None, category=None):
index = index or INDEX
if not category:
if isinstance(node, Preprint):
category = 'preprint'
elif node.is_registration:
category = 'registration'
else:
category = node.project_or_com... | |
1,225 | [
0.013397985137999058,
-0.05584518983960152,
0.044601041823625565,
-0.007847706787288189,
-0.055889371782541275,
-0.009846911765635014,
0.013265441171824932,
0.017087126150727272,
-0.0037360829301178455,
0.008388928137719631,
-0.005837456788867712,
-0.027038967236876488,
0.03004329837858677,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "alpha"}}, {"_type": "Constant", "_fields": {"kind": null... | class BeniniDistribution(SingleContinuousDistribution):
_argnames = ('alpha', 'beta', 'sigma')
@property
def set(self):
return Interval(self.sigma, oo)
def pdf(self, x):
alpha, beta, sigma = self.alpha, self.beta, self.sigma
return (exp(-alpha*log(x/sigma) - beta*log(x/sigma)**... | |
1,226 | [
0.009628446772694588,
0.015381519682705402,
0.011758103966712952,
-0.045208707451820374,
0.048688147217035294,
0.023360231891274452,
0.01592143252491951,
0.02610778994858265,
-0.03172288462519646,
0.018189067021012306,
0.025099951773881912,
-0.06752511113882065,
-0.014109724201261997,
0.00... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "quantity", "annotation": null, "type_comment": null}}, {"_type": "... | def get_latest(cls, quantity, server, player):
if server == 'all' and player == 'all':
all_sessions = [cls(**session) for session in Database.find_sorted(Session.COLLECTION_NAME, {}, 'login')]
elif server != 'all' and player == 'all':
all_sessions = [cls(**session) for session in... | |
1,227 | [
0.030415646731853485,
-0.05664347857236862,
0.050901416689157486,
-0.008062629029154778,
-0.025429122149944305,
0.012919634580612183,
0.042979102581739426,
0.04084201902151108,
0.00414464483037591,
0.02767413854598999,
0.010615255683660507,
-0.05072872340679169,
0.043475594371557236,
-0.00... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "alpha"}}, {"_type": "Constant", "_fields": {"kind": null... | class BetaPrimeDistribution(SingleContinuousDistribution):
_argnames = ('alpha', 'beta')
set = Interval(0, oo)
def pdf(self, x):
alpha, beta = self.alpha, self.beta
return x**(alpha - 1)*(1 + x)**(-alpha - beta)/beta_fn(alpha, beta) | |
1,228 | [
0.018028872087597847,
-0.05500052496790886,
0.05047253519296646,
0.0061221313662827015,
-0.03314986079931259,
-0.006205213721841574,
0.03931872919201851,
0.01155883353203535,
0.001751220435835421,
0.03308755159378052,
-0.011392668820917606,
-0.051843393594026566,
0.027853362262248993,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "alpha"}}, {"_type": "Constant", "_fields": {"kind": null... | class BetaDistribution(SingleContinuousDistribution):
_argnames = ('alpha', 'beta')
set = Interval(0, 1)
@staticmethod
def check(alpha, beta):
_value_check(alpha > 0, "Alpha must be positive")
_value_check(beta > 0, "Beta must be positive")
def pdf(self, x):
alpha, beta = ... | |
1,229 | [
0.02765481173992157,
-0.04041511192917824,
0.028351236134767532,
-0.003529863664880395,
0.0005353064625523984,
-0.007677523419260979,
0.028306305408477783,
0.026419218629598618,
0.01619749702513218,
0.013715079054236412,
-0.03659600764513016,
-0.041875358670949936,
0.03641628473997116,
0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "k"}}]}}, "targets": [{"_type": "Name", "_fields": {"id":... | class ChiSquaredDistribution(SingleContinuousDistribution):
_argnames = ('k',)
set = Interval(0, oo)
def pdf(self, x):
k = self.k
return 1/(2**(k/2)*gamma(k/2))*x**(k/2 - 1)*exp(-x/2) | |
1,230 | [
0.029698939993977547,
-0.05442524701356888,
0.02953926846385002,
-0.006706212181597948,
-0.006997042801231146,
-0.01832803152501583,
0.023494552820920944,
0.027463534846901894,
-0.012557039968669415,
0.020289713516831398,
-0.049270130693912506,
-0.012967624701559544,
0.022125938907265663,
... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "k"}}, {"_type": "Constant", "_fields": {"kind": null, "v... | class ChiNoncentralDistribution(SingleContinuousDistribution):
_argnames = ('k', 'l')
set = Interval(0, oo)
def pdf(self, x):
k, l = self.k, self.l
return exp(-(x**2+l**2)/2)*x**k*l / (l*x)**(k/2) * besseli(k/2-1, l*x) | |
1,231 | [
0.019813599064946175,
-0.060262758284807205,
0.05671534314751625,
0.010047397576272488,
-0.015433409251272678,
0.009760793298482895,
0.03190508484840393,
0.030066486448049545,
-0.004071954172104597,
0.04293667525053024,
-0.01799663156270981,
-0.05961383879184723,
0.039237845689058304,
0.00... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "d1"}}, {"_type": "Constant", "_fields": {"kind": null, "... | class FDistributionDistribution(SingleContinuousDistribution):
_argnames = ('d1', 'd2')
set = Interval(0, oo)
def pdf(self, x):
d1, d2 = self.d1, self.d2
return (sqrt((d1*x)**d1*d2**d2 / (d1*x+d2)**(d1+d2))
/ (x * beta_fn(d1/2, d2/2))) | |
1,232 | [
0.031023288145661354,
-0.038619525730609894,
0.02693791687488556,
0.006340836640447378,
-0.00022075898596085608,
0.008059033192694187,
0.020341744646430016,
0.017681997269392014,
0.003936425317078829,
0.016618099063634872,
0.006963217165321112,
-0.048556338995695114,
0.056684527546167374,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "rate"}}]}}, "targets": [{"_type": "Name", "_fields": {"i... | class ExponentialDistribution(SingleContinuousDistribution):
_argnames = ('rate',)
set = Interval(0, oo)
@staticmethod
def check(rate):
_value_check(rate > 0, "Rate must be positive.")
def pdf(self, x):
return self.rate * exp(-self.rate*x)
def sample(self):
return ra... | |
1,233 | [
0.028395527973771095,
-0.04309225454926491,
0.03340783715248108,
-0.010041629895567894,
-0.011907070875167847,
0.012961696833372116,
0.04043867811560631,
0.02001521922647953,
0.0062823970802128315,
0.039463434368371964,
0.006917441263794899,
-0.06740535795688629,
0.05583849176764488,
0.031... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "v... | class FrechetDistribution(SingleContinuousDistribution):
_argnames = ('a', 's', 'm')
set = Interval(0, oo)
def __new__(cls, a, s=1, m=0):
a, s, m = list(map(sympify, (a, s, m)))
return Basic.__new__(cls, a, s, m)
def pdf(self, x):
a, s, m = self.a, self.s, self.m
retur... | |
1,234 | [
0.01784147135913372,
-0.0058652497828006744,
0.026238713413476944,
-0.002799081150442362,
0.0027590179815888405,
-0.01352533046156168,
0.025020793080329895,
0.011452728882431984,
0.023674670606851578,
0.022798622027039528,
-0.030383918434381485,
-0.034101780503988266,
0.04021275043487549,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "k"}}, {"_type": "Constant", "_fields": {"kind": null, "v... | class GammaDistribution(SingleContinuousDistribution):
_argnames = ('k', 'theta')
set = Interval(0, oo)
@staticmethod
def check(k, theta):
_value_check(k > 0, "k must be positive")
_value_check(theta > 0, "Theta must be positive")
def pdf(self, x):
k, theta = self.k, self.... | |
1,235 | [
0.027996553108096123,
-0.018085205927491188,
0.03857448697090149,
0.011594200506806374,
-0.03055361472070217,
-0.03448755666613579,
0.050223324447870255,
0.010441337712109089,
0.021418128162622452,
0.016937805339694023,
-0.019232604652643204,
-0.022215843200683594,
0.019473012536764145,
0.... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "v... | class GammaInverseDistribution(SingleContinuousDistribution):
_argnames = ('a', 'b')
set = Interval(0, oo)
@staticmethod
def check(a, b):
_value_check(a > 0, "alpha must be positive")
_value_check(b > 0, "beta must be positive")
def pdf(self, x):
a, b = self.a, self.b
... | |
1,236 | [
0.01394724566489458,
-0.03129570186138153,
0.044969022274017334,
-0.007966593839228153,
-0.010209337808191776,
-0.006032012403011322,
0.02556614577770233,
0.016172869130969048,
0.006517084315419197,
0.06565020978450775,
-0.022941049188375473,
-0.0737309381365776,
0.012315120548009872,
0.01... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "v... | class KumaraswamyDistribution(SingleContinuousDistribution):
_argnames = ('a', 'b')
set = Interval(0, oo)
@staticmethod
def check(a, b):
_value_check(a > 0, "a must be positive")
_value_check(b > 0, "b must be positive")
def pdf(self, x):
a, b = self.a, self.b
retu... | |
1,237 | [
0.013551529496908188,
-0.042621057480573654,
0.0383247509598732,
-0.005047089885920286,
-0.016907349228858948,
0.001897000358439982,
0.011820183135569096,
0.024302979931235313,
-0.0005340323550626636,
0.010329300537705421,
-0.013530154712498188,
-0.057925306260585785,
0.0036016288213431835,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}]}}, "targets": [{"_type": "Name", "_fields": {"id":... | class MaxwellDistribution(SingleContinuousDistribution):
_argnames = ('a',)
set = Interval(0, oo)
def pdf(self, x):
a = self.a
return sqrt(2/pi)*x**2*exp(-x**2/(2*a**2))/a**3 | |
1,238 | [
0.03750806301832199,
-0.026010416448116302,
0.012934855185449123,
-0.008105641230940819,
-0.0018944989424198866,
-0.008894597180187702,
0.0247842688113451,
0.014593170024454594,
0.0042839800007641315,
0.014080599881708622,
-0.027477772906422615,
-0.030754201114177704,
0.031075812876224518,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "mean"}}, {"_type": "Constant", "_fields": {"kind": null,... | class LogNormalDistribution(SingleContinuousDistribution):
_argnames = ('mean', 'std')
set = Interval(0, oo)
def pdf(self, x):
mean, std = self.mean, self.std
return exp(-(log(x) - mean)**2 / (2*std**2)) / (x*sqrt(2*pi)*std)
def sample(self):
return random.lognormvariate(self.... | |
1,239 | [
0.06257607042789459,
-0.03254932165145874,
0.030209841206669807,
0.024127185344696045,
0.004602677654474974,
0.00436110096052289,
0.01970251277089119,
0.005574071779847145,
-0.001866500242613256,
0.019549937918782234,
-0.0214418675750494,
-0.030718423426151276,
0.017495261505246162,
0.0380... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "mean"}}, {"_type": "Constant", "_fields": {"kind": null,... | class NormalDistribution(SingleContinuousDistribution):
_argnames = ('mean', 'std')
@staticmethod
def check(mean, std):
_value_check(std > 0, "Standard deviation must be positive")
def pdf(self, x):
return exp(-(x - self.mean)**2 / (2*self.std**2)) / (sqrt(2*pi)*self.std)
def samp... | |
1,240 | [
0.02332037314772606,
-0.0199409332126379,
0.021127093583345413,
-0.007889090105891228,
-0.01689719967544079,
-0.014726300723850727,
0.005941995419561863,
-0.0033430717885494232,
-0.0009511668467894197,
0.018553348258137703,
-0.00027590832905843854,
-0.03207110986113548,
0.022447537630796432,... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "mu"}}, {"_type": "Constant", "_fields": {"kind": null, "... | class NakagamiDistribution(SingleContinuousDistribution):
_argnames = ('mu', 'omega')
set = Interval(0, oo)
def pdf(self, x):
mu, omega = self.mu, self.omega
return 2*mu**mu/(gamma(mu)*omega**mu)*x**(2*mu - 1)*exp(-mu/omega*x**2) | |
1,241 | [
0.007806478533893824,
-0.04047555848956108,
0.06303132325410843,
0.02216571755707264,
-0.027860378846526146,
-0.008129659108817577,
0.02830614522099495,
0.018298696726560593,
0.01290492806583643,
0.02465086430311203,
-0.02234402485191822,
-0.05077275633811951,
0.022711781784892082,
0.00863... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "v... | class QuadraticUDistribution(SingleContinuousDistribution):
_argnames = ('a', 'b')
@property
def set(self):
return Interval(self.a, self.b)
def pdf(self, x):
a, b = self.a, self.b
alpha = 12 / (b-a)**3
beta = (a+b) / 2
return Piecewise(
(alpha ... | |
1,242 | [
0.03728127479553223,
-0.01949051395058632,
0.023082662373781204,
-0.0028357566334307194,
-0.009156009182333946,
0.015853039920330048,
0.0349922738969326,
-0.0029065797571092844,
-0.0001108381402445957,
-0.013971979729831219,
0.006793350912630558,
-0.034539006650447845,
0.03802916780114174,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "xm"}}, {"_type": "Constant", "_fields": {"kind": null, "... | class ParetoDistribution(SingleContinuousDistribution):
_argnames = ('xm', 'alpha')
@property
def set(self):
return Interval(self.xm, oo)
@staticmethod
def check(xm, alpha):
_value_check(xm > 0, "Xm must be positive")
_value_check(alpha > 0, "Alpha must be positive")
d... | |
1,243 | [
0.043032415211200714,
-0.033519987016916275,
0.02521548606455326,
-0.005527346860617399,
-0.022907482460141182,
-0.006233768537640572,
-0.0024104623589664698,
0.015088308602571487,
-0.009307513013482094,
0.010504655539989471,
-0.040357720106840134,
-0.025193916633725166,
0.03694963827729225,... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "sigma"}}]}}, "targets": [{"_type": "Name", "_fields": {"... | class RayleighDistribution(SingleContinuousDistribution):
_argnames = ('sigma',)
set = Interval(0, oo)
def pdf(self, x):
sigma = self.sigma
return x/sigma**2*exp(-x**2/(2*sigma**2)) | |
1,244 | [
0.01736723817884922,
-0.03279520571231842,
0.016225222498178482,
0.013208581134676933,
-0.004115561489015818,
-0.01251906342804432,
0.022473981603980064,
0.029476899653673172,
0.03949645906686783,
0.03667374327778816,
-0.0350792333483696,
-0.04203905910253525,
0.027817746624350548,
0.01546... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "mu"}}, {"_type": "Constant", "_fields": {"kind": null, "... | class RaisedCosineDistribution(SingleContinuousDistribution):
_argnames = ('mu', 's')
@property
def set(self):
return Interval(self.mu - self.s, self.mu + self.s)
@staticmethod
def check(mu, s):
_value_check(s > 0, "s must be positive")
def pdf(self, x):
mu, s = self.m... | |
1,245 | [
-0.00541526498273015,
-0.043163593858480453,
0.03285958990454674,
-0.009511390700936317,
0.007093911990523338,
-0.0004858310567215085,
0.03274635970592499,
0.01864911988377571,
0.009969974867999554,
0.010332314297556877,
-0.03489774465560913,
-0.018298102542757988,
0.0297117717564106,
0.00... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "n"}}]}}, "targets": [{"_type": "Name", "_fields": {"id":... | class UniformSumDistribution(SingleContinuousDistribution):
_argnames = ('n',)
@property
def set(self):
return Interval(0, self.n)
def pdf(self, x):
n = self.n
k = Dummy("k")
return 1/factorial(
n - 1)*Sum((-1)**k*binomial(n, k)*(x - k)**(n - 1), (k, 0, floo... | |
1,246 | [
0.030795054510235786,
-0.04205763712525368,
0.06373754143714905,
-0.002525799907743931,
0.0006842790171504021,
0.0021674190647900105,
0.02654588595032692,
0.033445075154304504,
0.000771732535213232,
0.026454506441950798,
-0.01659688912332058,
-0.03609509393572807,
0.05318314954638481,
0.01... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "v... | class TriangularDistribution(SingleContinuousDistribution):
_argnames = ('a', 'b', 'c')
def pdf(self, x):
a, b, c = self.a, self.b, self.c
return Piecewise(
(2*(x - a)/((b - a)*(c - a)), And(a <= x, x < c)),
(2/(b - a), Eq(x, c)),
(2*(b - x)/((b - a)*(b - c))... | |
1,247 | [
0.0073645091615617275,
-0.045397959649562836,
0.06072142347693443,
0.0018700239015743136,
-0.037758246064186096,
-0.012340230867266655,
0.03848478943109512,
0.00014130101772025228,
-0.0009260677616111934,
0.033222854137420654,
-0.010573409497737885,
-0.035182319581508636,
0.01308879069983959... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "alpha"}}, {"_type": "Constant", "_fields": {"kind": null... | class WeibullDistribution(SingleContinuousDistribution):
_argnames = ('alpha', 'beta')
set = Interval(0, oo)
@staticmethod
def check(alpha, beta):
_value_check(alpha > 0, "Alpha must be positive")
_value_check(beta > 0, "Beta must be positive")
def pdf(self, x):
alpha, bet... | |
1,248 | [
-0.013323799706995487,
-0.019630923867225647,
0.015869174152612686,
-0.008790554478764534,
-0.03176087513566017,
0.013763045892119408,
0.025679005309939384,
0.042910970747470856,
0.026625074446201324,
0.0383157804608345,
-0.01502447109669447,
-0.025926785543560982,
0.031175214797258377,
0.... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "mu"}}, {"_type": "Constant", "_fields": {"kind": null, "... | class VonMisesDistribution(SingleContinuousDistribution):
_argnames = ('mu', 'k')
set = Interval(0, 2*pi)
@staticmethod
def check(mu, k):
_value_check(k > 0, "k must be positive")
def pdf(self, x):
mu, k = self.mu, self.k
return exp(k*cos(x-mu)) / (2*pi*besseli(0, k)) | |
1,249 | [
0.0519510954618454,
0.026257125660777092,
0.029096366837620735,
-0.0127413934096694,
-0.027266111224889755,
-0.006722668651491404,
0.00658774608746171,
-0.012776589952409267,
0.0007321754819713533,
-0.04169697314500809,
-0.01446605660021305,
-0.049839261919260025,
0.012471547350287437,
-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": "name", "annotation": n... | class CythonSpecial(six.with_metaclass(_CythonSpecialMeta)):
def setup(self, name, args, N, api):
self.py_func = getattr(cython_special, '_bench_{}_py'.format(name))
self.cy_func = getattr(cython_special, '_bench_{}_cy'.format(name))
m = re.match('^(.*)_[dDl]+$', name)
self.np_func =... | |
1,250 | [
0.011870220303535461,
0.04206639528274536,
-0.05135432258248329,
-0.033153317868709564,
-0.010355205275118351,
-0.011797333136200905,
-0.02884255349636078,
-0.01677449606359005,
0.0391092523932457,
-0.024635912850499153,
0.00046107734669931233,
0.004469554405659437,
0.0503547228872776,
-0.... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}], "kwarg": null... | def get_time_func(name, args):
@with_attributes(params=[(name,), (args,)] + params,
param_names=['name', 'argument'] + param_names)
def func(self, name, args, N, api):
if api == 'python':
self.py_func(N, *args)
eli... | |
1,251 | [
0.042395852506160736,
0.009360446594655514,
0.02137218974530697,
-0.015185831114649773,
-0.019679343327879906,
-0.017326783388853073,
0.01696581020951271,
-0.021023662760853767,
0.023973697796463966,
-0.020986320450901985,
0.003964497707784176,
-0.024882357567548752,
0.02386167086660862,
-... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg... | def setup(self, name, args, N, api):
self.py_func = getattr(cython_special, '_bench_{}_py'.format(name))
self.cy_func = getattr(cython_special, '_bench_{}_cy'.format(name))
m = re.match('^(.*)_[dDl]+$', name)
self.np_func = getattr(special, m.group(1))
self.obj = []
for ... | |
1,252 | [
0.012673664838075638,
-0.029102489352226257,
0.04764359071850777,
-0.03903019428253174,
0.03041679598391056,
0.030299445614218712,
0.019808469340205193,
0.00821441225707531,
0.02877391315996647,
-0.029125958681106567,
0.041752684861421585,
0.02466670610010624,
0.002059470396488905,
0.03105... | 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": "sr", "annotation": null, "type_comment": null}}], "kwarg": null, ... | def test_competing_locks(self, sr):
lock1 = self.get_lock(sr, 'foo')
lock2 = self.get_lock(sr, 'foo')
assert lock1.acquire(blocking=False)
assert not lock2.acquire(blocking=False)
lock1.release()
assert lock2.acquire(blocking=False)
assert not lock1.acquire(blocki... | |
1,253 | [
0.026666363701224327,
0.015850882977247238,
0.019787009805440903,
-0.03307291120290756,
0.011725635267794132,
-0.010472694411873817,
0.031725406646728516,
0.03699721395969391,
0.03950309753417969,
-0.012103881686925888,
0.04146524891257286,
0.00976939219981432,
0.007718588225543499,
0.0190... | 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": "sr", "annotation": null, "type_comment": null}}], "kwarg": null, ... | def test_releasing_lock_no_longer_owned_raises_error(self, sr):
lock = self.get_lock(sr, 'foo')
lock.acquire(blocking=False)
# manually change the token
sr.set('foo', 'a')
with pytest.raises(LockError):
lock.release()
# even though we errored, the token is sti... | |
1,254 | [
0.0025579845532774925,
-0.031502529978752136,
0.03257041051983833,
-0.03333650156855583,
-0.0007269144989550114,
0.027347074821591377,
0.05947640538215637,
0.009042177349328995,
0.04851900413632393,
-0.0013558913487941027,
0.034566886723041534,
0.039720579981803894,
-0.019384386017918587,
... | 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": "sr", "annotation": null, "type_comment": null}}], "kwarg": null, ... | def test_blocking_timeout(self, sr):
lock1 = self.get_lock(sr, 'foo')
assert lock1.acquire(blocking=False)
lock2 = self.get_lock(sr, 'foo', blocking_timeout=0.2)
start = time.time()
assert not lock2.acquire()
assert (time.time() - start) > 0.2
lock1.release() | |
1,255 | [
0.0035085275303572416,
0.011912674643099308,
0.011994268745183945,
-0.044666703790426254,
0.04513294994831085,
0.044037263840436935,
0.023242536932229996,
0.00819433480501175,
-0.016819950193166733,
-0.021622320637106895,
-0.02052663452923298,
-0.005831032991409302,
0.007932069711387157,
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": "sr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def test_lua_compatible_server(self, sr, monkeypatch):
@classmethod
def mock_register(cls, redis):
return
monkeypatch.setattr(LuaLock, 'register_scripts', mock_register)
try:
lock = sr.lock('foo')
assert type(lock) == LuaLock
assert sr._use... | |
1,256 | [
0.003465684363618493,
0.015002613887190819,
-0.0003040389565285295,
-0.05070722475647926,
0.04029865562915802,
0.043591633439064026,
-0.0035117401275783777,
-0.018214993178844452,
-0.011128186248242855,
-0.04389099404215813,
-0.00855482928454876,
-0.009677434340119362,
0.024110110476613045,
... | 9 | {"_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": "sr", "annotation": nul... | class TestLockClassSelection(object):
def test_lock_class_argument(self, sr):
lock = sr.lock('foo', lock_class=Lock)
assert type(lock) == Lock
lock = sr.lock('foo', lock_class=LuaLock)
assert type(lock) == LuaLock
def test_cached_lualock_flag(self, sr):
try:
... | |
1,257 | [
-0.027708902955055237,
0.013770339079201221,
0.011210930533707142,
-0.03929232805967331,
0.04914545267820358,
0.03410141542553902,
0.01554870791733265,
0.02927098236978054,
-0.007816409692168236,
-0.024428533390164375,
-0.020583411678671837,
-0.012046042829751968,
0.020739620551466942,
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}}, {"_type": "arg", "_fields": {"arg": "sr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def test_lua_unavailable(self, sr, monkeypatch):
@classmethod
def mock_register(cls, redis):
raise ResponseError()
monkeypatch.setattr(LuaLock, 'register_scripts', mock_register)
try:
lock = sr.lock('foo')
assert type(lock) == Lock
assert s... | |
1,258 | [
0.00460795545950532,
0.05682503059506416,
-0.030261199921369553,
-0.03219791501760483,
-0.03618139028549194,
-0.003840421326458454,
0.030151158571243286,
-0.0183878056704998,
-0.0041237762197852135,
0.011873394250869751,
0.0076368264853954315,
0.012962797656655312,
0.025859570130705833,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CreateSnapshot", "value": {"_type": "Name", "_fields": {"id": "project_forms", "ctx": {"_type": "Load", "_fiel... | class CreateView(forms.ModalFormView):
form_class = project_forms.CreateSnapshot
form_id = "create_snapshot_form"
modal_id = "create_snapshot_modal"
modal_header = _("Create Snapshot")
submit_label = _("Create Snapshot")
submit_url = "horizon:project:images:snapshots:create"
template_name = ... | |
1,259 | [
0.03033163584768772,
-0.007508760783821344,
-0.0025605913251638412,
0.0117352195084095,
0.0164016243070364,
0.006876027677208185,
0.022936569526791573,
0.014523198828101158,
-0.048799529671669006,
0.04551722854375839,
-0.026574784889817238,
-0.018586531281471252,
-0.02766229398548603,
-0.0... | 9 | {"_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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class BackgroundLayer( cocos.layer.Layer ):
def __init__(self):
super( BackgroundLayer, self ).__init__()
self.img = pyglet.resource.image('background_image.png')
def draw( self ):
glPushMatrix()
self.transform()
self.img.blit(0,0)
glPopMatrix() | |
1,260 | [
-0.01255499105900526,
0.01572229526937008,
-0.03474689647555351,
-0.052961498498916626,
0.01888960227370262,
0.0091851856559515,
-0.04022996872663498,
0.04010535404086113,
-0.0056284572929143906,
-0.04095689207315445,
-0.02361459843814373,
-0.023219982162117958,
-0.008385570719838142,
-0.0... | 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 get_object(self):
try:
return api.nova.server_get(self.request,
self.kwargs["instance_id"])
except Exception:
redirect = reverse('horizon:project:instances:index')
exceptions.handle(self.request,
... | |
1,261 | [
0.0069150738418102264,
-0.0036629638634622097,
0.006243819836527109,
0.02196620963513851,
0.014038468711078167,
-0.010144037194550037,
-0.032266486436128616,
0.013216760940849781,
0.03039160557091236,
0.04379354044795036,
0.011596492491662502,
-0.02019548788666725,
-0.027729736641049385,
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_wchar_parm(self):
try:
c_wchar
except NameError:
return
f = dll._testfunc_i_bhilfd
f.argtypes = [c_byte, c_wchar, c_int, c_long, c_float, c_double]
result = f(1, u"x", 3, 4, 5.0, 6.0)
self.assertEqual(result, 139)
self.assertEqual(... | |
1,262 | [
0.03467033803462982,
-0.019843393936753273,
-0.00013214901264291257,
-0.008420469239354134,
0.018348343670368195,
-0.01281295157968998,
-0.028121771290898323,
-0.0021051173098385334,
0.04364063963294029,
0.07546915113925934,
-0.007203423883765936,
-0.03590591624379158,
-0.024019651114940643,... | 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_intresult(self):
f = dll._testfunc_i_bhilfd
f.argtypes = [c_byte, c_short, c_int, c_long, c_float, c_double]
f.restype = c_int
result = f(1, 2, 3, 4, 5.0, 6.0)
self.assertEqual(result, 21)
self.assertEqual(type(result), int)
result = f(-1, -2, -3, -4, -5... | |
1,263 | [
0.014917443506419659,
-0.019695598632097244,
0.005984123796224594,
0.010939458385109901,
0.02823454886674881,
-0.025056732818484306,
-0.023593565449118614,
-0.012768417596817017,
0.024759527295827866,
0.08975614607334137,
0.006338484585285187,
-0.013179932720959187,
-0.024782389402389526,
... | 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_floatresult(self):
f = dll._testfunc_f_bhilfd
f.argtypes = [c_byte, c_short, c_int, c_long, c_float, c_double]
f.restype = c_float
result = f(1, 2, 3, 4, 5.0, 6.0)
self.assertEqual(result, 21)
self.assertEqual(type(result), float)
result = f(-1, -2, -3, ... | |
1,264 | [
0.029086891561746597,
-0.02662569284439087,
0.029111752286553383,
0.017365122213959694,
0.009515391662716866,
0.023729434236884117,
-0.029260916635394096,
0.010385512374341488,
0.024326087906956673,
0.05882015824317932,
0.003946618642657995,
-0.03642076626420021,
-0.011547744274139404,
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_doubleresult(self):
f = dll._testfunc_d_bhilfd
f.argtypes = [c_byte, c_short, c_int, c_long, c_float, c_double]
f.restype = c_double
result = f(1, 2, 3, 4, 5.0, 6.0)
self.assertEqual(result, 21)
self.assertEqual(type(result), float)
result = f(-1, -2, -3... | |
1,265 | [
0.043667834252119064,
-0.019950861111283302,
0.021833917126059532,
0.016315847635269165,
0.010052897967398167,
0.027459248900413513,
-0.056491684168577194,
-0.020975815132260323,
-0.000998138915747404,
0.05930434912443161,
0.017340801656246185,
-0.022870788350701332,
-0.020749371498823166,
... | 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_longlongresult(self):
try:
c_longlong
except NameError:
return
f = dll._testfunc_q_bhilfd
f.restype = c_longlong
f.argtypes = [c_byte, c_short, c_int, c_long, c_float, c_double]
result = f(1, 2, 3, 4, 5.0, 6.0)
self.assertEqual(res... | |
1,266 | [
0.028050828725099564,
-0.025118468329310417,
0.026428671553730965,
0.008547516539692879,
0.005861599929630756,
0.0216620285063982,
-0.03468919172883034,
-0.011068098247051239,
0.022785060107707977,
0.06753162294626236,
-0.002047972520813346,
-0.04235076159238815,
-0.016333868727087975,
-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_longdoubleresult(self):
f = dll._testfunc_D_bhilfD
f.argtypes = [c_byte, c_short, c_int, c_long, c_float, c_longdouble]
f.restype = c_longdouble
result = f(1, 2, 3, 4, 5.0, 6.0)
self.assertEqual(result, 21)
self.assertEqual(type(result), float)
result = ... | |
1,267 | [
0.009129635989665985,
0.012694541364908218,
-0.006161779630929232,
-0.005272002425044775,
-0.020659061148762703,
-0.010329530574381351,
-0.01728544384241104,
0.023221155628561974,
0.04379906505346298,
0.013251014053821564,
0.023302309215068817,
-0.012961184605956078,
0.011755493469536304,
... | 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_pointers(self):
f = dll._testfunc_p_p
f.restype = POINTER(c_int)
f.argtypes = [POINTER(c_int)]
# This only works if the value c_int(42) passed to the
# function is still alive while the pointer (the result) is
# used.
v = c_int(42)
self.assertE... | |
1,268 | [
0.03019442781805992,
-0.02531241625547409,
-0.011580315418541431,
0.0030541489832103252,
0.02633046731352806,
-0.010024318471550941,
-0.008393125608563423,
-0.014599758200347424,
0.03653410077095032,
0.02593712881207466,
-0.010030102916061878,
-0.01308425236493349,
-0.00519147515296936,
-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_stringresult(self):
f = dll._testfunc_p_p
f.argtypes = None
f.restype = c_char_p
result = f("123")
self.assertEqual(result, "123")
result = f(None)
self.assertEqual(result, None) | |
1,269 | [
0.005976027809083462,
-0.012732059694826603,
0.00871204026043415,
0.024312112480401993,
-0.025776119902729988,
0.009126042947173119,
-0.016860079020261765,
-0.006924032233655453,
0.07147233188152313,
0.029304135590791702,
0.016248075291514397,
-0.056256260722875595,
0.011652054265141487,
-... | 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_callbacks(self):
f = dll._testfunc_callback_i_if
f.restype = c_int
f.argtypes = None
MyCallback = CFUNCTYPE(c_int, c_int)
def callback(value):
#print "called back with", value
return value
cb = MyCallback(callback)
result = f(-1... | |
1,270 | [
-0.00723212119191885,
-0.023283902555704117,
0.02744174189865589,
-0.0008370802388526499,
0.002300986321642995,
-0.013405882753431797,
-0.012927100993692875,
-0.016845550388097763,
0.034925851970911026,
0.05624423176050186,
0.027063755318522453,
-0.04455188289284706,
-0.00509335333481431,
... | 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 test_shorts(self):
f = dll._testfunc_callback_i_if
args = []
expected = [262144, 131072, 65536, 32768, 16384, 8192, 4096, 2048,
1024, 512, 256, 128, 64, 32, 16, 8, 4, 2, 1]
def callback(v):
args.append(v)
return v
CallBack = CFUN... | |
1,271 | [
0.04000253602862358,
-0.017626263201236725,
0.031759873032569885,
0.02017590031027794,
-0.024029463529586792,
0.025705937296152115,
-0.0306189376860857,
-0.025100544095039368,
0.03988611325621605,
0.026753732934594154,
0.040235377848148346,
-0.038419198244810104,
-0.011787708848714828,
0.0... | 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_longlong_callbacks(self):
f = dll._testfunc_callback_q_qf
f.restype = c_longlong
MyCallback = CFUNCTYPE(c_longlong, c_longlong)
f.argtypes = [c_longlong, MyCallback]
def callback(value):
self.assertTrue(isinstance(value, (int, long)))
return v... | |
1,272 | [
0.03740366920828819,
-0.020087558776140213,
0.00011286295193713158,
-0.013344423845410347,
-0.010207448154687881,
0.011434960179030895,
-0.010818475857377052,
-0.004075341392308474,
0.0881190299987793,
0.03426123782992363,
0.007086838595569134,
-0.050671715289354324,
0.041048016399145126,
... | 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 test_callbacks_2(self):
# Can also use simple datatypes as argument type specifiers
# for the callback function.
# In this case the call receives an instance of that type
f = dll._testfunc_callback_i_if
f.restype = c_int
MyCallback = CFUNCTYPE(c_int, c_int)
... | |
1,273 | [
-0.035971760749816895,
0.016293387860059738,
0.02677673101425171,
-0.0031923672650009394,
-0.00926449615508318,
-0.01610393077135086,
-0.04145340994000435,
-0.00006463281169999391,
0.039306219667196274,
0.025690505281090736,
0.03316777944564819,
-0.006656291428953409,
0.018617406487464905,
... | 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_byval(self):
# without prototype
ptin = POINT(1, 2)
ptout = POINT()
# EXPORT int _testfunc_byval(point in, point *pout)
result = dll._testfunc_byval(ptin, byref(ptout))
got = result, ptout.x, ptout.y
expected = 3, 1, 2
self.assertEqual(got, expec... | |
1,274 | [
0.016697613522410393,
0.016538238152861595,
0.0320221483707428,
-0.0035767466761171818,
0.02341589145362377,
0.06551545858383179,
-0.0012834299122914672,
0.01735963486135006,
0.011125613003969193,
0.005559741519391537,
0.004811904393136501,
-0.05820871517062187,
0.014797371812164783,
0.015... | 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 test_struct_return_2H(self):
class S2H(Structure):
_fields_ = [("x", c_short),
("y", c_short)]
dll.ret_2h_func.restype = S2H
dll.ret_2h_func.argtypes = [S2H]
inp = S2H(99, 88)
s2h = dll.ret_2h_func(inp)
self.assertEqual((s2h.x, s2h.... | |
1,275 | [
0.019580578431487083,
0.025058336555957794,
0.02215128019452095,
-0.008871323429048061,
-0.008895348757505417,
0.03901700675487518,
-0.018211139366030693,
0.01893189735710621,
0.016565410420298576,
0.004312532488256693,
0.010030542500317097,
-0.06107218563556671,
0.015472261235117912,
-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 test_struct_return_8H(self):
class S8I(Structure):
_fields_ = [("a", c_int),
("b", c_int),
("c", c_int),
("d", c_int),
("e", c_int),
("f", c_int),
("g",... | |
1,276 | [
0.024752464145421982,
-0.02789110504090786,
0.0404694490134716,
0.02594134397804737,
-0.008512374944984913,
-0.008892816491425037,
-0.02584623359143734,
0.019057733938097954,
0.04667539522051811,
0.008078434504568577,
0.025442015379667282,
-0.041325438767671585,
0.01509876549243927,
0.0153... | 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_sf1651235(self):
# see http://www.python.org/sf/1651235
proto = CFUNCTYPE(c_int, RECT, POINT)
def callback(*args):
return 0
callback = proto(callback)
self.assertRaises(ArgumentError, lambda: callback((1, 2, 3, 4), POINT())) | |
1,277 | [
0.026630301028490067,
0.013174867257475853,
0.037923045456409454,
-0.006219192408025265,
0.0017842184752225876,
0.048911843448877335,
-0.008668291382491589,
-0.008522164076566696,
0.015244035050272942,
-0.0002654043200891465,
-0.004866050090640783,
-0.037642478942871094,
0.024035073816776276... | 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 test_struct_return_2H_stdcall(self):
class S2H(Structure):
_fields_ = [("x", c_short),
("y", c_short)]
windll.s_ret_2h_func.restype = S2H
windll.s_ret_2h_func.argtypes = [S2H]
s2h = windll.s_ret_2h_func(S2H(99, 88))
... | |
1,278 | [
0.024144714698195457,
0.017980612814426422,
0.030987106263637543,
-0.012792295776307583,
-0.02620338276028633,
0.02496580220758915,
-0.020348675549030304,
0.0028782666195183992,
0.020610472187399864,
-0.00017208240751642734,
-0.0008567863260395825,
-0.04312491416931152,
0.018266208469867706,... | 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 test_struct_return_8H_stdcall(self):
class S8I(Structure):
_fields_ = [("a", c_int),
("b", c_int),
("c", c_int),
("d", c_int),
("e", c_int),
("f", c... | |
1,279 | [
0.002971373964101076,
0.04457060620188713,
0.05766071379184723,
-0.03868139907717705,
-0.02212468907237053,
-0.006782629527151585,
-0.05051335692405701,
-0.04443676397204399,
-0.02422606572508812,
-0.00011701039329636842,
-0.0029412584844976664,
-0.03493371978402138,
-0.003379603149369359,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "IViewView", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "implements", "ctx": ... | class Report(BrowserView):
implements(IViewView)
template = ViewPageTemplateFile(
"templates/qualitycontrol_referenceanalysisqc.pt")
# if unsuccessful we return here:
default_template = ViewPageTemplateFile("templates/qualitycontrol.pt")
def __init__(self, context, request, report=None):
... | |
1,280 | [
0.015936169773340225,
0.0010104087414219975,
0.016396909952163696,
-0.037672240287065506,
-0.0022190033923834562,
0.021898683160543442,
-0.003591058775782585,
0.03488070145249367,
0.0006254710024222732,
0.023660335689783096,
0.06032978743314743,
-0.011281345039606094,
0.01089513674378395,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "While", "_fields": {"body": [{"_type": "Assign", "_fields": {"... | def server_thread_func():
while True:
client = None
raw_client = None
try:
client, addr = server.accept()
if certfile:
client = ssl.wrap_socket(client, server_side = True, ssl_version = ssl.PROTOCOL_TLSv1, certfile = ... | |
1,281 | [
0.024871913716197014,
0.040665511041879654,
0.057086583226919174,
-0.04704703390598297,
-0.01165495440363884,
0.011468048207461834,
-0.053081441670656204,
-0.026206960901618004,
-0.029077310115098953,
0.0033526350744068623,
-0.008057004772126675,
-0.04653971642255783,
-0.0033860113471746445,... | 12 | {"_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 __call__(self):
header = _("Reference analysis QC")
subheader = _("Reference analysis quality control graphs ")
MinimumResults = self.context.bika_setup.getMinimumResults()
warning_icon = "<img src='" + self.portal_url + "/++resource++bika.lims.images/warning.png' height='9' width... | |
1,282 | [
0.011944487690925598,
0.02803550846874714,
-0.020340699702501297,
-0.051450006663799286,
-0.03088238090276718,
-0.009221392683684826,
-0.03781389817595482,
-0.0400831438601017,
0.02285750024020672,
-0.03603975847363472,
0.03329603374004364,
-0.04154783859848976,
0.04979964345693588,
-0.038... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "sale.quote.template"}}, "targets": [{"_type": "Name", "_fields": {"id": "_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comme... | class sale_quote_template(osv.osv):
_name = "sale.quote.template"
_description = "Sale Quotation Template"
_columns = {
'name': fields.char('Quotation Template', required=True),
'website_description': fields.html('Description', translate=True),
'quote_line': fields.one2many('sale.quo... | |
1,283 | [
0.007885887287557125,
-0.03909716382622719,
-0.033825140446424484,
0.00780835747718811,
-0.010776640847325325,
-0.040824972093105316,
-0.010920625180006027,
0.0031704145949333906,
0.03515422344207764,
-0.009813056327402592,
0.04541030526161194,
-0.06060614436864853,
0.01110337395220995,
-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": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def on_change_product_id(self, cr, uid, ids, product, context=None):
vals = {}
product_obj = self.pool.get('product.product').browse(cr, uid, product, context=context)
name = product_obj.name
if product_obj.description_sale:
name += '\n' + product_obj.description_sale
... | |
1,284 | [
0.005276464391499758,
0.024728145450353622,
0.01365602109581232,
-0.025356007739901543,
-0.016976451501250267,
-0.01040200050920248,
-0.019934652373194695,
-0.034653209149837494,
0.02396746352314949,
-0.01587769016623497,
0.04870768263936043,
-0.04168044775724411,
0.015599981881678104,
-0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "sale.quote.line"}}, "targets": [{"_type": "Name", "_fields": {"id": "_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment":... | class sale_quote_line(osv.osv):
_name = "sale.quote.line"
_description = "Quotation Template Lines"
_columns = {
'quote_id': fields.many2one('sale.quote.template', 'Quotation Template Reference', required=True, ondelete='cascade', select=True),
'name': fields.text('Description', required=Tru... | |
1,285 | [
0.007142673246562481,
0.015149709768593311,
-0.003229679772630334,
-0.029107999056577682,
0.0009322561090812087,
-0.03737784922122955,
-0.025814076885581017,
-0.0559266060590744,
0.014740888960659504,
-0.004134924616664648,
0.03920001909136772,
-0.047633394598960876,
0.015675336122512817,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "sale.order.line"}}, "targets": [{"_type": "Name", "_fields": {"id": "_inherit", "ctx": {"_type": "Store", "_fields": {}}}}], "type_commen... | class sale_order_line(osv.osv):
_inherit = "sale.order.line"
_description = "Sales Order Line"
_columns = {
'website_description': fields.html('Line Description'),
'option_line_id': fields.one2many('sale.order.option', 'line_id', 'Optional Products Lines'),
}
def _inject_quote_descr... | |
1,286 | [
-0.012148941867053509,
0.012390769086778164,
-0.0270155631005764,
0.0001274811220355332,
-0.00639690738171339,
-0.030262958258390427,
-0.007663622032850981,
0.023249967023730278,
0.01957649365067482,
0.017964312806725502,
0.030493268743157387,
-0.034500692039728165,
-0.008636688813567162,
... | 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": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def _get_total(self, cr, uid, ids, name, arg, context=None):
res = {}
for order in self.browse(cr, uid, ids, context=context):
total = 0.0
for line in order.order_line:
total += line.price_subtotal + line.price_unit * ((line.discount or 0.0) / 100.0) * line.produc... | |
1,287 | [
0.022966109216213226,
-0.01156532857567072,
-0.03044125996530056,
0.00628218287602067,
-0.004198895767331123,
-0.02125011570751667,
-0.027408888563513756,
0.0018394043436273932,
-0.0025387306232005358,
-0.03836303949356079,
0.04388713091611862,
-0.05147981643676758,
-0.006405593361705542,
... | 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}}, {"_type": "arg",... | def action_quotation_send(self, cr, uid, ids, context=None):
action = super(sale_order, self).action_quotation_send(cr, uid, ids, context=context)
ir_model_data = self.pool.get('ir.model.data')
quote_template_id = self.read(cr, uid, ids, ['template_id'], context=context)[0]['template_id']
... | |
1,288 | [
-0.0014147271867841482,
0.0065131415612995625,
0.0029096349608153105,
-0.011317817494273186,
-0.003762326203286648,
0.0020399827044457197,
0.007641839794814587,
-0.007956394925713539,
0.003941190894693136,
0.020908664911985397,
0.04781237989664078,
-0.03226965665817261,
0.02718743309378624,
... | 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": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def onchange_template_id(self, cr, uid, ids, template_id, partner=False, fiscal_position=False, context=None):
if not template_id:
return True
if context is None:
context = {}
context = dict(context, lang=self.pool.get('res.partner').browse(cr, uid, partner, context).lan... | |
1,289 | [
-0.0003189345297869295,
-0.042144060134887695,
-0.02350384183228016,
0.005477077327668667,
-0.007675061002373695,
-0.03884296119213104,
-0.0031773101072758436,
0.013545519672334194,
0.03087630309164524,
-0.007339449133723974,
0.046391479671001434,
-0.059375811368227005,
0.001730327378027141,... | 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}}, {"_type": "arg",... | def on_change_product_id(self, cr, uid, ids, product, context=None):
vals = {}
product_obj = self.pool.get('product.product').browse(cr, uid, product, context=context)
vals.update({
'price_unit': product_obj.list_price,
'website_description': product_obj.product_tmpl_id.q... | |
1,290 | [
0.027610305696725845,
0.014553689397871494,
-0.024872800335288048,
-0.02103387750685215,
-0.05111435428261757,
0.005881358869373798,
-0.040592070668935776,
-0.04354344308376312,
0.0288507379591465,
-0.040955644100904465,
0.040549296885728836,
-0.0532958023250103,
0.021825186908245087,
0.00... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "sale.quote.option"}}, "targets": [{"_type": "Name", "_fields": {"id": "_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment... | class sale_quote_option(osv.osv):
_name = "sale.quote.option"
_description = "Quote Option"
_columns = {
'template_id': fields.many2one('sale.quote.template', 'Quotation Template Reference', ondelete='cascade', select=True, required=True),
'name': fields.text('Description', required=True, tr... | |
1,291 | [
0.004213263280689716,
-0.04067377373576164,
-0.02660779096186161,
0.008508178405463696,
-0.015002264641225338,
-0.03444641828536987,
-0.0016099128406494856,
0.010778115130960941,
0.03178999572992325,
-0.008883779868483543,
0.0509946383535862,
-0.06000905856490135,
0.00798560306429863,
0.00... | 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}}, {"_type": "arg",... | def on_change_product_id(self, cr, uid, ids, product, context=None):
vals = {}
if not product:
return vals
product_obj = self.pool.get('product.product').browse(cr, uid, product, context=context)
vals.update({
'price_unit': product_obj.list_price,
'web... | |
1,292 | [
0.013142162002623081,
0.005725326482206583,
-0.010344005189836025,
-0.032454028725624084,
-0.0442429855465889,
-0.008033232763409615,
-0.031811829656362534,
-0.06426586210727692,
0.030527429655194283,
-0.02336002141237259,
0.029403580352663994,
-0.08192635327577591,
0.009856621734797955,
0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "sale.order.option"}}, "targets": [{"_type": "Name", "_fields": {"id": "_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment... | class sale_order_option(osv.osv):
_name = "sale.order.option"
_description = "Sale Options"
_columns = {
'order_id': fields.many2one('sale.order', 'Sale Order Reference', ondelete='cascade', select=True),
'line_id': fields.many2one('sale.order.line', on_delete="set null"),
'name': fi... | |
1,293 | [
0.00781005946919322,
-0.03632793202996254,
-0.036930423229932785,
0.0012907517375424504,
-0.019703663885593414,
-0.015687061473727226,
0.028116213157773018,
0.042442094534635544,
0.001345143304206431,
-0.006889588199555874,
0.05971348285675049,
-0.04726201668381691,
-0.0046581425704061985,
... | 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 _onchange_product_id(self):
product = self.product_id.with_context(lang=self.order_id.partner_id.lang)
self.price_unit = product.list_price
self.website_description = product.quote_description or product.website_description
self.name = product.name
if product.description_sale... | |
1,294 | [
0.02554182894527912,
-0.0031900068279355764,
0.033794473856687546,
-0.031725868582725525,
-0.02632572129368782,
-0.011246679350733757,
-0.0020019197836518288,
-0.029483065009117126,
0.013924977742135525,
0.01639641635119915,
-0.0004991189925931394,
-0.05491602048277855,
0.030245183035731316,... | 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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class TelecomsMinutesTestsClient(TestClient):
def __init__(self):
TestClient.__init__(self, debug=True)
def load_configuration(self, arguments):
super(TelecomsMinutesTestsClient, self).load_configuration(arguments)
self.configuration.brain_configuration._aiml_files = BrainFileConfigura... | |
1,295 | [
0.011445439420640469,
0.028764059767127037,
0.02111647091805935,
-0.03795776516199112,
-0.012005778029561043,
0.0025772990193217993,
-0.058814823627471924,
-0.06441821157932281,
-0.0030170094687491655,
0.009671032428741455,
0.017090333625674248,
0.014350899495184422,
-0.037189893424510956,
... | 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 FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="indicator.legendgrouptitle", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class... | |
1,296 | [
-0.006215792614966631,
-0.013874642550945282,
0.055214688181877136,
-0.015577923506498337,
-0.025147050619125366,
-0.02104261703789234,
0.008717486634850502,
0.00937395915389061,
0.033947333693504333,
0.013945612125098705,
0.003968407865613699,
-0.06822586059570312,
-0.009592783637344837,
... | 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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class TelecomsMinutesAIMLTests(unittest.TestCase):
def setUp (self):
TelecomsMinutesAIMLTests.test_client = TelecomsMinutesTestsClient()
def test_balance(self):
response = TelecomsMinutesAIMLTests.test_client.bot.ask_question("testif", "HOW MANY MINUTES DO I HAVE LEFT")
self.assertIsNo... | |
1,297 | [
0.011699456721544266,
0.02476511336863041,
0.00911343190819025,
-0.053650520741939545,
-0.008782724849879742,
0.003054978558793664,
-0.05993938446044922,
-0.04302450641989708,
0.0003710294549819082,
0.03144432231783867,
0.023247111588716507,
0.020926738157868385,
-0.04493285343050957,
-0.0... | 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": "plotly_name", "annotation": null, "type_comment": null}}, {"_type... | def __init__(
self, plotly_name="font", parent_name="indicator.legendgrouptitle", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
data_class_str=kwargs.pop("data_class_str", "Font"),
data_docs=kwargs.p... | |
1,298 | [
-0.02035994455218315,
-0.01909801736474037,
0.030520401895046234,
-0.008852997794747353,
0.0047777569852769375,
0.03356463462114334,
-0.0032865372486412525,
0.018070263788104057,
0.015312238596379757,
0.010570257902145386,
0.009295322932302952,
0.008911540731787682,
0.006491764914244413,
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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class RealNVPTest(test_util.VectorDistributionTestHelpers, test.TestCase):
@property
def _real_nvp_kwargs(self):
return {
"shift_and_log_scale_fn": real_nvp_default_template(
hidden_layers=[3], shift_only=False),
"is_constant_jacobian": False,
}
def testBijector(self):
x_... | |
1,299 | [
-0.009144463576376438,
-0.031848181039094925,
0.06760348379611969,
0.01165067683905363,
-0.006233401130884886,
0.02404678985476494,
0.035318322479724884,
0.02332705818116665,
0.01047468464821577,
0.007300148252397776,
0.017427818849682808,
0.025486256927251816,
0.018134698271751404,
0.0146... | 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 testMutuallyConsistent(self):
dims = 4
with self.test_session() as sess:
nvp = RealNVP(
num_masked=3,
validate_args=True,
**self._real_nvp_kwargs)
dist = transformed_distribution_lib.TransformedDistribution(
distribution=normal_lib.Normal(loc=0., scale=1.)... | |
1,300 | [
-0.027629444375634193,
-0.01518265064805746,
0.0012443407904356718,
-0.02422994002699852,
0.0003995434381067753,
0.023132888600230217,
-0.011654479429125786,
0.031232107430696487,
0.045073918998241425,
0.011911812238395214,
0.019232260063290596,
0.022726573050022125,
-0.012826021760702133,
... | 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 testBijector(self):
x_ = np.arange(3 * 4 * 2).astype(np.float32).reshape(3, 4 * 2)
with self.test_session() as sess:
nvp = RealNVP(
num_masked=4,
validate_args=True,
**self._real_nvp_kwargs)
x = constant_op.constant(x_)
forward_x = nvp.forward(x)
# Use i... |