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 |
|---|---|---|---|---|---|
10,301 | [
0.011194105260074139,
-0.013762393034994602,
0.026642749086022377,
-0.0489271879196167,
-0.0202090572565794,
0.025254834443330765,
-0.027291305363178253,
-0.008528533391654491,
0.055983494967222214,
0.05095069110393524,
0.03185715153813362,
-0.019443757832050323,
-0.035981979221105576,
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_circfuncs_small(self):
x = np.array([20,21,22,18,19,20.5,19.2])
M1 = x.mean()
M2 = stats.circmean(x, high=360)
assert_allclose(M2, M1, rtol=1e-5)
V1 = x.var()
V2 = stats.circvar(x, high=360)
assert_allclose(V2, V1, rtol=1e-4)
S1 = x.std()
... | |
10,302 | [
0.04022455960512161,
-0.01306878961622715,
0.03622366487979889,
-0.027862515300512314,
-0.004650739952921867,
0.02484387718141079,
-0.028844770044088364,
-0.027646897360682487,
0.048609666526317596,
0.04987941309809685,
0.018255578354001045,
-0.01621919497847557,
-0.023418407887220383,
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 test_circmean_axis(self):
x = np.array([[355,5,2,359,10,350],
[351,7,4,352,9,349],
[357,9,8,358,4,356]])
M1 = stats.circmean(x, high=360)
M2 = stats.circmean(x.ravel(), high=360)
assert_allclose(M1, M2, rtol=1e-14)
M1 = stats.circm... | |
10,303 | [
-0.0036146726924926043,
-0.0174590852111578,
0.015409433282911777,
-0.038869306445121765,
-0.02629975415766239,
0.018027061596512794,
-0.06598398089408875,
-0.044549066573381424,
0.04163510352373123,
0.045018263161182404,
0.04012873396277428,
-0.02126205526292324,
-0.0029540921095758677,
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 test_circvar_axis(self):
x = np.array([[355,5,2,359,10,350],
[351,7,4,352,9,349],
[357,9,8,358,4,356]])
V1 = stats.circvar(x, high=360)
V2 = stats.circvar(x.ravel(), high=360)
assert_allclose(V1, V2, rtol=1e-11)
V1 = stats.circvar(x, ... | |
10,304 | [
0.02817082405090332,
-0.03177927806973457,
0.043525416404008865,
-0.017619207501411438,
0.003163618501275778,
0.01825379766523838,
-0.05459963530302048,
-0.027050958946347237,
0.03060964122414589,
0.03618407994508743,
0.026603013277053833,
-0.02966397814452648,
-0.015777653083205223,
0.056... | 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 test_circstd_axis(self):
x = np.array([[355,5,2,359,10,350],
[351,7,4,352,9,349],
[357,9,8,358,4,356]])
S1 = stats.circstd(x, high=360)
S2 = stats.circstd(x.ravel(), high=360)
assert_allclose(S1, S2, rtol=1e-11)
S1 = stats.circstd... | |
10,305 | [
-0.015588155947625637,
-0.0005647584912367165,
0.01238114945590496,
0.0025366898626089096,
-0.03546108305454254,
0.006841176189482212,
-0.03475133702158928,
-0.005937562789767981,
0.014825834892690182,
0.05583346262574196,
0.033174119889736176,
-0.0006074747652746737,
0.030019685626029968,
... | 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": "List", "_fields": {"c... | def test_accuracy_wilcoxon():
freq = [1, 4, 16, 15, 8, 4, 5, 1, 2]
nums = range(-4, 5)
x = np.concatenate([[u] * v for u, v in zip(nums, freq)])
y = np.zeros(x.size)
T, p = stats.wilcoxon(x, y, "pratt")
assert_allclose(T, 423)
assert_allclose(p, 0.00197547303533107)
T, p = stats.wilcox... | |
10,306 | [
-0.037859320640563965,
-0.018122736364603043,
0.00044397395686246455,
0.011878990568220615,
-0.03783286735415459,
-0.01645597442984581,
-0.004150371067225933,
-0.013704492710530758,
0.015701962634921074,
0.01580778881907463,
0.0040710014291107655,
0.005701386369764805,
0.008604993112385273,
... | 7 | {"_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 test_wilcoxon_tie():
# Regression test for gh-2391.
# Corresponding R code is:
# > result = wilcox.test(rep(0.1, 10), exact=FALSE, correct=FALSE)
# > result$p.value
# [1] 0.001565402
# > result = wilcox.test(rep(0.1, 10), exact=FALSE, correct=TRUE)
# > result$p.value
# [1... | |
10,307 | [
-0.002709844848141074,
-0.018200073391199112,
0.056516021490097046,
-0.0171035323292017,
0.007014086935669184,
0.0035101943649351597,
0.0009515966521576047,
-0.022334162145853043,
-0.0027917702682316303,
0.02856050431728363,
0.013927342370152473,
-0.046130381524562836,
0.011633426882326603,
... | 8 | {"_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 TestMedianTest(TestCase):
def test_bad_n_samples(self):
# median_test requires at least two samples.
assert_raises(ValueError, stats.median_test, [1, 2, 3])
def test_empty_sample(self):
# Each sample must contain at least one value.
assert_raises(ValueError, stats.median_... | |
10,308 | [
0.008231192827224731,
0.0030985234770923853,
0.05212457850575447,
-0.02601183019578457,
-0.031738974153995514,
-0.004263820592314005,
0.03469084948301315,
-0.0036015408113598824,
-0.011429058387875557,
-0.013497893698513508,
0.034388091415166855,
-0.018821362406015396,
0.0317642018198967,
... | 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_ties_options(self):
# Test the contingency table calculation.
x = [1, 2, 3, 4]
y = [5, 6]
z = [7, 8, 9]
# grand median is 5.
# Default 'ties' option is "below".
stat, p, m, tbl = stats.median_test(x, y, z)
assert_equal(m, 5)
assert_equal(... | |
10,309 | [
0.017574666067957878,
-0.05338849127292633,
0.004428036976605654,
-0.013083618134260178,
0.017563210800290108,
0.005072479601949453,
0.022249024361371994,
-0.012293101288378239,
0.042596228420734406,
0.009125308133661747,
0.025731878355145454,
-0.023738402873277664,
0.040075741708278656,
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_simple(self):
x = [1, 2, 3]
y = [1, 2, 3]
stat, p, med, tbl = stats.median_test(x, y)
# The median is floating point, but this equality test should be safe.
assert_equal(med, 2.0)
assert_array_equal(tbl, [[1, 1], [2, 2]])
# The expected values of the c... | |
10,310 | [
0.06531311571598053,
0.03942080959677696,
-0.08112623542547226,
0.011535067111253738,
0.018881672993302345,
0.07301809638738632,
-0.01665305346250534,
0.01761617511510849,
0.05814569443464279,
0.03433642163872719,
0.03910723701119423,
0.0042920527048408985,
0.004726017825305462,
0.00685944... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "comment", "annotation": null, "type_comment": null}}], "kwarg"... | def perform_delete(request, comment):
flag, created = comments.models.CommentFlag.objects.get_or_create(
comment = comment,
user = request.user,
flag = comments.models.CommentFlag.MODERATOR_DELETION
)
comment.is_removed = True
comment.save()
signals.comment_was_flagged.... | |
10,311 | [
0.014291654340922832,
-0.03525860235095024,
0.0369148813188076,
-0.012886329554021358,
0.01018860749900341,
-0.0006485512712970376,
0.026475321501493454,
0.029687494039535522,
-0.0050692083314061165,
0.01591028831899166,
0.024367334321141243,
-0.0189091507345438,
0.0023181592114269733,
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_basic(self):
# median_test calls chi2_contingency to compute the test statistic
# and p-value. Make sure it hasn't screwed up the call...
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8]
stat, p, m, tbl = stats.median_test(x, y)
assert_equal(m, 4)
assert_equal(tbl... | |
10,312 | [
0.008441201411187649,
-0.012643440626561642,
-0.019526509568095207,
-0.015130158513784409,
-0.016200391575694084,
0.0146999666467309,
0.05384741723537445,
0.0065578012727200985,
0.005185909103602171,
0.023985814303159714,
-0.009763254784047604,
-0.10047600418329239,
-0.04465600103139877,
-... | 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": "timeout", "annotation"... | class DownloadTimeoutMiddleware(object):
def __init__(self, timeout=180):
self._timeout = timeout
@classmethod
def from_crawler(cls, crawler):
o = cls(crawler.settings.getfloat('DOWNLOAD_TIMEOUT'))
crawler.signals.connect(o.spider_opened, signal=signals.spider_opened)
retur... | |
10,313 | [
0.0409325510263443,
0.03823758661746979,
-0.0820860043168068,
0.02319437637925148,
0.014656636863946915,
0.041241809725761414,
-0.02321646548807621,
0.008145644329488277,
0.04987895488739014,
0.04022567719221115,
0.07227809727191925,
-0.0035757997538894415,
-0.007654144428670406,
0.0376411... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "comment", "annotation": null, "type_comment": null}}], "kwarg"... | def perform_approve(request, comment):
flag, created = comments.models.CommentFlag.objects.get_or_create(
comment = comment,
user = request.user,
flag = comments.models.CommentFlag.MODERATOR_APPROVAL,
)
comment.is_removed = False
comment.is_public = True
comment.save()... | |
10,314 | [
0.05561693757772446,
-0.027481310069561005,
0.02315814606845379,
-0.003864559344947338,
-0.03549669310450554,
-0.024022778496146202,
0.05786031112074852,
-0.035333115607500076,
0.028322575613856316,
-0.014149603433907032,
0.03895522654056549,
-0.042834389954805374,
-0.021054983139038086,
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": "spi", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def __init__(self, spi, cs):
self.spi = spi
self.cs = cs
self.cmdbuf = bytearray(6)
self.dummybuf = bytearray(512)
for i in range(512):
self.dummybuf[i] = 0xff
self.dummybuf_memoryview = memoryview(self.dummybuf)
# initialise the card
self.in... | |
10,315 | [
0.04317857325077057,
-0.04445561766624451,
0.03575725480914116,
-0.02616737224161625,
0.001841775723733008,
-0.005767785012722015,
0.047322943806648254,
-0.008614028804004192,
0.0276371780782938,
-0.03142012283205986,
0.05725016072392464,
-0.02850460447371006,
-0.06023796275258064,
0.01840... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 100}}], "func": {"_type": "Name", "_fields": {"id": "const", "ctx": {"_type": "Load", "_fields": {}... | class SDCard:
CMD_TIMEOUT = const(100)
R1_IDLE_STATE = const(1 << 0)
#R1_ERASE_RESET = const(1 << 1)
R1_ILLEGAL_COMMAND = const(1 << 2)
#R1_COM_CRC_ERROR = const(1 << 3)
#R1_ERASE_SEQUENCE_ERROR = const(1 << 4)
#R1_ADDRESS_ERROR = const(1 << 5)
#R1_PARAMETER_ERROR = const(1 << 6)
d... | |
10,316 | [
0.028076661750674248,
-0.054130226373672485,
0.04976329579949379,
-0.031333357095718384,
-0.016900276765227318,
-0.009831766597926617,
0.05299531668424606,
-0.009850270114839077,
0.04596381634473801,
-0.013569564558565617,
0.05477169528603554,
-0.020662745460867882,
-0.06799585372209549,
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 init_card(self):
# init CS pin
self.cs.high()
self.cs.init(self.cs.OUT_PP)
# init SPI bus; use low data rate for initialisation
self.spi.init(self.spi.MASTER, baudrate=100000, phase=0, polarity=0)
# clock card at least 100 cycles with cs high
for i in range(... | |
10,317 | [
0.04157738387584686,
-0.06353136152029037,
0.03689293563365936,
-0.014810778200626373,
-0.021045055240392685,
-0.005677853245288134,
0.04015573859214783,
0.033257246017456055,
0.015346809290349483,
0.0011376099428161979,
0.03805822134017944,
-0.003731826553121209,
-0.06385764479637146,
-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 init_card_v1(self):
for i in range(CMD_TIMEOUT):
self.cmd(55, 0, 0)
if self.cmd(41, 0, 0) == 0:
self.cdv = 512
#print("[SDCard] v1 card")
return
raise OSError("timeout waiting for v1 card") | |
10,318 | [
0.045953478664159775,
-0.060055606067180634,
0.028568962588906288,
-0.024472050368785858,
-0.022137906402349472,
0.020727694034576416,
0.04845782369375229,
0.04228206351399422,
0.0293470099568367,
0.017931582406163216,
0.040969107300043106,
-0.029103869572281837,
-0.055435944348573685,
-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 init_card_v2(self):
for i in range(CMD_TIMEOUT):
pyb.delay(50)
self.cmd(58, 0, 0, 4)
self.cmd(55, 0, 0)
if self.cmd(41, 0x40000000, 0) == 0:
self.cmd(58, 0, 0, 4)
self.cdv = 1
#print("[SDCard] v2 card")
... | |
10,319 | [
0.04316654056310654,
-0.0003507281362544745,
0.05930003523826599,
0.01318602915853262,
-0.0019913939759135246,
0.005655491258949041,
0.0019205737626180053,
0.012855535373091698,
0.011391920037567616,
0.07144062221050262,
0.046511948108673096,
-0.029137413948774338,
-0.005240687634795904,
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": "cmd", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def cmd(self, cmd, arg, crc, final=0, release=True):
self.cs.low()
# create and send the command
buf = self.cmdbuf
buf[0] = 0x40 | cmd
buf[1] = arg >> 24
buf[2] = arg >> 16
buf[3] = arg >> 8
buf[4] = arg
buf[5] = crc
self.spi.send(buf)
... | |
10,320 | [
0.04939025267958641,
-0.01241725217550993,
0.026025546714663506,
-0.012087814509868622,
0.0076087345369160175,
0.0014420801308006048,
0.007862147875130177,
-0.01303811464458704,
0.018575195223093033,
0.03241156041622162,
0.037429146468639374,
0.029066506773233414,
-0.07004343718290329,
0.0... | 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": "buf", "annotation": null, "type_comment": null}}], "kwarg": null,... | def write(self, buf):
self.cs.low()
# send: start of block, data, checksum
self.spi.send(0xfe)
self.spi.send(buf)
self.spi.send(0xff)
self.spi.send(0xff)
# check the response
if (self.spi.send_recv(0xff)[0] & 0x1f) != 0x05:
self.cs.high()
... | |
10,321 | [
0.04561438411474228,
0.01797548308968544,
-0.00021971363457851112,
-0.0013800326269119978,
0.015693489462137222,
0.005325715057551861,
0.011161372996866703,
0.02290917932987213,
0.02067817933857441,
0.009797275997698307,
0.034650612622499466,
0.009548678994178772,
-0.04770514741539955,
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}}, {"_type": "arg", "_fields": {"arg": "buf", "annotation": null, "type_comment": null}}], "kwarg": null,... | def readinto(self, buf):
self.cs.low()
# read until start byte (0xff)
while self.spi.send_recv(0xff)[0] != 0xfe:
pass
# read data
mv = self.dummybuf_memoryview[:len(buf)]
self.spi.send_recv(mv, recv=buf)
# read checksum
self.spi.send(0xff)
... | |
10,322 | [
0.05790804326534271,
0.0011244280030950904,
-0.0051887668669223785,
0.013071475550532341,
0.014804968610405922,
-0.0047817472368478775,
-0.0052736843936145306,
-0.010260405950248241,
-0.010225267149508,
0.004386440385133028,
0.033334605395793915,
0.01156638190150261,
-0.010857758112251759,
... | 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": "block_num", "annotation": null, "type_comment": null}}, {"_type":... | def readblocks(self, block_num, buf):
# TODO support multiple block reads
assert len(buf) == 512
# CMD17: set read address for single block
if self.cmd(17, block_num * self.cdv, 0) != 0:
return 1
# receive the data
self.readinto(buf)
return 0 | |
10,323 | [
0.07939942181110382,
-0.02356957085430622,
0.026709146797657013,
0.004709363915026188,
0.0062393383122980595,
-0.03419407829642296,
0.03303379938006401,
-0.02203390747308731,
-0.005164375063031912,
0.009606420062482357,
0.04359005391597748,
0.04536459594964981,
-0.035786617547273636,
0.012... | 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": "block_num", "annotation": null, "type_comment": null}}, {"_type":... | def writeblocks(self, block_num, buf):
# TODO support multiple block writes
assert len(buf) == 512
# CMD24: set write address for single block
if self.cmd(24, block_num * self.cdv, 0) != 0:
return 1
# send the data
self.write(buf)
return 0 | |
10,324 | [
0.02603394165635109,
0.013252134434878826,
0.04540031775832176,
0.01396454032510519,
0.014497115276753902,
-0.01301005482673645,
0.01850872114300728,
-0.01155757624655962,
-0.026697931811213493,
-0.007947131060063839,
-0.0013807188952341676,
-0.014192786999046803,
-0.020625190809369087,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": {"_type": "arg", "_fields": {"arg": "xin", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "... | def get(*xin):
# OeQ autogenerated correlation for 'NULL'
TOTAL_LIVING_AREA= oeq.correlation(
const= 16.9612111141,
a= 37.3699270344,
b= -25.066880729,
c= 6.04869046956,
d= -0.472322343882,
mode= "log")
return dict(TOTAL_LIVING_AREA=TOTAL_LIVING_AREA.lookup(*xin)) | |
10,325 | [
-0.023516861721873283,
0.020102761685848236,
0.06985428929328918,
-0.03773479163646698,
0.013151024468243122,
0.02486453391611576,
-0.016183285042643547,
-0.018070023506879807,
-0.004152511712163687,
-0.03712834045290947,
0.00009142404451267794,
0.01480192132294178,
0.03286071494221687,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "vcpus"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "at... | class BaseUsageTable(tables.DataTable):
vcpus = tables.Column('vcpus', verbose_name=_("VCPUs"))
disk = tables.Column('local_gb', verbose_name=_("Disk"))
memory = tables.Column('memory_mb',
verbose_name=_("RAM"),
filters=(sizeformat.mbformat,),
... | |
10,326 | [
-0.007079701870679855,
0.02800239622592926,
0.07733994722366333,
-0.010458521544933319,
-0.020148616284132004,
0.0007352323736995459,
-0.02614912949502468,
-0.012498244643211365,
-0.01637428253889084,
-0.04416196793317795,
0.0022459549363702536,
-0.008882115595042706,
0.01901857554912567,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "project_name"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {... | class GlobalUsageTable(BaseUsageTable):
project = tables.Column('project_name', verbose_name=_("Project Name"))
disk_hours = tables.Column('disk_gb_hours',
verbose_name=_("Disk GB Hours"),
filters=(lambda v: floatformat(v, 2),))
def get_object_i... | |
10,327 | [
-0.01767497882246971,
0.004227237775921822,
0.07110545784235,
-0.034809231758117676,
-0.016694912686944008,
0.01901552826166153,
-0.023014647886157036,
-0.01706666126847267,
-0.02521134726703167,
-0.03273645043373108,
0.018677575513720512,
-0.024062303826212883,
0.036228638142347336,
-0.01... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "att... | class ProjectUsageTable(BaseUsageTable):
instance = tables.Column('name',
verbose_name=_("Instance Name"),
link=get_instance_link)
uptime = tables.Column('uptime_at',
verbose_name=_("Uptime"),
filters... | |
10,328 | [
0.013216185383498669,
0.04134920984506607,
0.01659526117146015,
-0.018229221925139427,
-0.028699908405542374,
0.044528208673000336,
0.040504440665245056,
0.011504417285323143,
-0.011871224269270897,
0.021419335156679153,
-0.0030344983097165823,
-0.022208526730537415,
0.01252703182399273,
-... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "parsed", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": ... | def _start_server(parsed):
try:
thread = threading.Thread(target=_cron_loop)
thread.start()
run_simple(
etc.host, etc.port,
application,
processes=1, # ensure db integrety, avoid race conditions
ssl_context=_ssl_context(parsed)
)
... | |
10,329 | [
-0.0023949111346155405,
0.00711484020575881,
0.012963044457137585,
-0.04119418188929558,
0.002125323051586747,
0.026222778484225273,
0.006589928176254034,
-0.010224373079836369,
-0.005157831124961376,
0.0529932901263237,
0.04000742360949516,
-0.053038936108350754,
-0.00236780964769423,
-0.... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "serve", "annotation": null, "type_comment": null}}], "kwarg": nul... | def main(args, serve=True):
# show version
if "--version" in args:
print(__version__)
return __version__
# parse args and initialize
parsed = cli.parse(args)
lib.initialize(parsed)
if serve:
return _start_server(parsed) | |
10,330 | [
0.024753693491220474,
0.03916584327816963,
0.04782963544130325,
-0.051652707159519196,
-0.023791048675775528,
0.01934913732111454,
0.01167549192905426,
-0.023117199540138245,
-0.03680048882961273,
0.03311493992805481,
0.018867814913392067,
-0.022594621405005455,
0.01632368564605713,
0.0178... | 8 | {"_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 testRule(nct):
def setUpRule(self):
ruleManager.AddFileStartRule(RunRule)
def test1(self):
self.Analyze("thisfile.c","""
// license
// copyright
""")
assert not CheckErrorContent(__name__)
def test2(self):
self.Analyze("thisfile.c", """
/**
#if 0
#endif
license
coryrigh... | |
10,331 | [
0.030400266870856285,
0.08735765516757965,
-0.0213097482919693,
-0.06656525284051895,
-0.006442195735871792,
0.007347552105784416,
0.0009561671759001911,
-0.002568255877122283,
-0.0021787062287330627,
0.049000103026628494,
0.021937955170869827,
-0.021211206912994385,
0.023403771221637726,
... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "lexer", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}, {"_type":... | def RunRule(lexer, filename, dirname) :
t = lexer.GetNextTokenSkipWhiteSpace()
if t == None : return
if t.type == "COMMENT" :
if t.value.lower().find("copyright") == -1 :
nsiqcppstyle_reporter.Error(DummyToken(lexer.filename, "", 1, 0), __name__, "Please provide file info comment in fro... | |
10,332 | [
0.004018837586045265,
-0.025084836408495903,
0.08134856075048447,
-0.007587200962007046,
-0.007779538631439209,
0.03739442303776741,
0.05648643523454666,
0.014263330958783627,
-0.013686318881809711,
-0.018261922523379326,
0.003105235518887639,
0.002545938827097416,
-0.016156334429979324,
-... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}... | def update_connections_time_zone(**kwargs):
if kwargs['setting'] == 'TIME_ZONE':
# Reset process time zone
if hasattr(time, 'tzset'):
if kwargs['value']:
os.environ['TZ'] = kwargs['value']
else:
os.environ.pop('TZ', None)
time.tzset... | |
10,333 | [
0.04073745757341385,
-0.007417786866426468,
0.027025314047932625,
-0.02931416966021061,
0.01909830793738365,
0.04308931156992912,
0.04273233190178871,
0.0185733400285244,
0.006079120561480522,
0.03870058432221413,
-0.012231736443936825,
0.008992688730359077,
0.028453223407268524,
-0.016357... | 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": "path", "annotation": null, "type_comment": null}}, {"_type": "arg... | def __init__(self, path=None, fp=None, do_load=True):
# We don't use ``super`` here, because ``ConfigParser`` still uses
# old-style classes.
ConfigParser.__init__(self, {'working_dir': '/mnt/pyami',
'debug': '0'})
if do_load:
if path:... | |
10,334 | [
0.00867222249507904,
0.03435554355382919,
-0.016042308881878853,
0.0040235985070466995,
-0.005458551924675703,
0.04583516716957092,
-0.004463720601052046,
-0.027501100674271584,
0.013302615843713284,
-0.025542689487338066,
0.034147199243307114,
-0.018136143684387207,
0.016240233555436134,
... | 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": "section", "annotation": null, "type_comment": null}}, {"_type": "... | def getbool(self, section, name, default=False):
if self.has_option(section, name):
val = self.get(section, name)
if val.lower() == 'true':
val = True
else:
val = False
else:
val = default
return val | |
10,335 | [
0.008175614289939404,
0.03898265212774277,
-0.0006204015808179975,
-0.038920674473047256,
0.058546282351017,
-0.016175631433725357,
0.016640448942780495,
-0.01013301033526659,
-0.024025874212384224,
0.059124719351530075,
0.016092997044324875,
0.011847668327391148,
0.07486652582883835,
0.00... | 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": "path", "annotation": null, "type_comment": null}}], "kwarg": null... | def load_from_path(self, path):
file = open(path)
for line in file.readlines():
match = re.match("^#import[\s\t]*([^\s^\t]*)[\s\t]*$", line)
if match:
extended_file = match.group(1)
(dir, file) = os.path.split(path)
self.load_from_p... | |
10,336 | [
0.0500795803964138,
-0.011338110081851482,
0.035851363092660904,
-0.04401854798197746,
0.0061955926939845085,
0.019072363153100014,
0.004656932782381773,
0.024384543299674988,
0.05447909235954285,
-0.03180287405848503,
0.02658429928123951,
-0.007781056221574545,
-0.012531595304608345,
-0.0... | 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": "fp", "annotation": null, "type_comment": null}}], "kwarg": null, ... | def dump_safe(self, fp=None):
if not fp:
fp = StringIO()
for section in self.sections():
fp.write('[%s]\n' % section)
for option in self.options(section):
if option == 'aws_secret_access_key':
fp.write('%s = xxxxxxxxxxxxxxxxxx\n' % ... | |
10,337 | [
0.011568776331841946,
0.012974629178643227,
0.007351216860115528,
-0.024318039417266846,
-0.008977069519460201,
0.022193163633346558,
0.023051699623465538,
-0.012491703033447266,
0.02365267463028431,
-0.028524868190288544,
-0.003780242521315813,
-0.015668287873268127,
-0.0017747554229572415,... | 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": "obj", "annotation": nu... | class MicrosecAdapter(Adapter):
def _decode(self, obj, context):
return datetime.fromtimestamp(obj[0] + (obj[1] / 1000000.0))
def _encode(self, obj, context):
offset = time.mktime(*obj.timetuple())
sec = int(offset)
usec = (offset - sec) * 1000000
return (sec, usec) | |
10,338 | [
0.034068770706653595,
0.028751978650689125,
0.07371243089437485,
-0.018131297081708908,
0.02537091076374054,
0.0214865542948246,
0.008710765279829502,
-0.01669885963201523,
-0.036262594163417816,
0.04671551287174225,
0.01951211504638195,
0.0031020003370940685,
-0.017357006669044495,
0.0215... | 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": "lines", "annotation": null, "type_comment": null}}], "kwarg": nul... | def pushlines(self, lines):
# Crack into lines, but preserve the newlines on the end of each
parts = NLCRE_crack.split(data)
# The *ahem* interesting behaviour of re.split when supplied grouping
# parentheses is that the last element of the resulting list is the
# data after the ... | |
10,339 | [
0.052128806710243225,
0.04196110740303993,
0.03589661791920662,
0.005538685712963343,
0.044773999601602554,
0.04629657417535782,
-0.009309637360274792,
0.02094184421002865,
-0.03814176842570305,
0.048980433493852615,
0.017974115908145905,
-0.03341921046376228,
-0.04224497824907303,
0.02385... | 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 readline(self):
if not self._lines:
if self._closed:
return ''
return NeedMoreData
# Pop the line off the stack and see if it matches the current
# false-EOF predicate.
line = self._lines.pop()
# RFC 2046, section 5.1.2 requires us to r... | |
10,340 | [
0.02646126225590706,
0.01566535234451294,
-0.004625970032066107,
0.03895553946495056,
0.010041739791631699,
0.016841143369674683,
-0.00785049144178629,
0.023278309032320976,
0.0115975858643651,
-0.004311237949877977,
-0.017197445034980774,
-0.003111692378297448,
-0.008824379183351994,
0.01... | 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 _new_message(self):
msg = self._factory()
if self._cur and self._cur.get_content_type() == 'multipart/digest':
msg.set_default_type('message/rfc822')
if self._msgstack:
self._msgstack[-1].attach(msg)
self._msgstack.append(msg)
self._cur = msg
s... | |
10,341 | [
0.03391633927822113,
0.0229361392557621,
0.059483278542757034,
-0.0040110452100634575,
0.036065444350242615,
0.01452498696744442,
-0.0005723999347537756,
-0.0006839465349912643,
0.008621122688055038,
0.015735402703285217,
0.01761278137564659,
-0.013919779099524021,
-0.018415607511997223,
0... | 17 | {"_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 _parsegen(self):
# Create a new message and start by parsing headers.
self._new_message()
headers = []
# Collect the headers, searching for a line that doesn't match the RFC
# 2822 header or continuation pattern (including an empty line).
for line in self._input:
... | |
10,342 | [
0.010238997638225555,
-0.014110887423157692,
0.024688316509127617,
-0.023082200437784195,
-0.026592712849378586,
0.015028668567538261,
0.036435917019844055,
0.0011486606672406197,
-0.02858888730406761,
0.035793472081422806,
0.006533455569297075,
-0.006470358464866877,
-0.014535361900925636,
... | 13 | {"_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 BulkSaveTests(PostgreSQLTestCase):
def test_bulk_update(self):
test_data = [
(IntegerArrayModel, "field", [], [1, 2, 3]),
(NullableIntegerArrayModel, "field", [1, 2, 3], None),
(NestedIntegerArrayModel, "field", [], [[1, 2, 3]]),
(HStoreModel, "field", {... | |
10,343 | [
0.011639154516160488,
0.04246038571000099,
0.06273088604211807,
-0.028697039932012558,
0.0467204675078392,
-0.010170361958444118,
-0.017847873270511627,
-0.0316697359085083,
-0.009444743394851685,
0.03368274122476578,
0.01251106709241867,
-0.0024006853345781565,
-0.023828374221920967,
0.02... | 15 | {"_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": "lines", "annotation": null, "type_comment": null}}], "kwarg": nul... | def _parse_headers(self, lines):
# Passed a list of lines that make up the headers for the current msg
lastheader = ''
lastvalue = []
for lineno, line in enumerate(lines):
# Check for continuation
if line[0] in ' \t':
if not lastheader:
... | |
10,344 | [
0.021593915298581123,
-0.010000950656831264,
0.00594909954816103,
-0.030858710408210754,
-0.014878734014928341,
0.018673229962587357,
0.04529455304145813,
0.003776540979743004,
-0.015130104497075081,
0.038950443267822266,
0.01175455842167139,
-0.00039912533247843385,
-0.015369504690170288,
... | 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 test_bulk_update(self):
test_data = [
(IntegerArrayModel, "field", [], [1, 2, 3]),
(NullableIntegerArrayModel, "field", [1, 2, 3], None),
(NestedIntegerArrayModel, "field", [], [[1, 2, 3]]),
(HStoreModel, "field", {}, {1: 2}),
(RangesModel, "ints",... | |
10,345 | [
0.013567566871643066,
-0.01613249070942402,
0.00038612066418863833,
-0.015805242583155632,
0.018945064395666122,
0.0008966180612333119,
0.00435152743011713,
0.02503012679517269,
-0.01896275393664837,
-0.006363666616380215,
0.02276591770350933,
0.05543775111436844,
0.0007401797920465469,
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 _get_size_from_underlying_file(self):
if hasattr(self.file, 'size'):
return self.file.size
if hasattr(self.file, 'name'):
try:
return os.path.getsize(self.file.name)
except (OSError, TypeError):
pass
if hasattr(self.file, 't... | |
10,346 | [
0.08154097199440002,
0.01268345583230257,
-0.02551281824707985,
-0.014194631949067116,
0.01868647150695324,
-0.035767972469329834,
0.033933717757463455,
-0.036289066076278687,
-0.02347012609243393,
-0.0017209167126566172,
0.02336590737104416,
0.0060186488553881645,
0.01963486522436142,
-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": "content", "annotation": null, "type_comment": null}}, {"_type": "... | def __init__(self, content, name=None):
if six.PY3:
stream_class = StringIO if isinstance(content, six.text_type) else BytesIO
else:
stream_class = BytesIO
content = force_bytes(content)
super(ContentFile, self).__init__(stream_class(content), name=name)
... | |
10,347 | [
0.01595962420105934,
0.042636506259441376,
0.018644222989678383,
-0.009702606126666069,
0.01381405908614397,
0.0018852966604754329,
0.059822168201208115,
0.04570160061120987,
-0.012936808168888092,
0.044052790850400925,
0.012133541516959667,
0.01323274802416563,
-0.007768426090478897,
0.01... | 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 __iter__(self):
# Iterate over this file-like object by newlines
buffer_ = None
for chunk in self.chunks():
for line in chunk.splitlines(True):
if buffer_:
if endswith_cr(buffer_) and not equals_lf(line):
# Line split af... | |
10,348 | [
-0.04488736018538475,
-0.008488070219755173,
-0.028446504846215248,
-0.02961265854537487,
0.02905825711786747,
0.03322582319378853,
-0.026553895324468613,
0.04049038887023926,
0.008062710985541344,
0.018352583050727844,
0.05234309658408165,
-0.05306955426931381,
0.00461204256862402,
-0.011... | 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": "url", "annotation": nu... | class FrappeOAuth2Client(FrappeClient):
def __init__(self, url, access_token, verify=True):
self.access_token = access_token
self.headers = {
"Authorization": "Bearer " + access_token,
"content-type": "application/x-www-form-urlencoded"
}
self.verify = verify
self.session = OAuth2Session(self.headers)
... | |
10,349 | [
-0.05079760029911995,
0.01642455719411373,
-0.029510987922549248,
-0.020972153171896935,
0.046927306801080704,
-0.015348131768405437,
-0.01994410529732704,
0.02088749036192894,
0.0410492978990078,
-0.005503073334693909,
0.02454007975757122,
-0.05800602212548256,
-0.0038219147827476263,
-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": "response", "annotation": null, "type_comment": null}}], "kwarg": ... | def post_process(self, response):
try:
rjson = response.json()
except ValueError:
print(response.text)
raise
if rjson and ("exc" in rjson) and rjson["exc"]:
raise FrappeException(rjson["exc"])
if 'message' in rjson:
return rjson['message']
elif 'data' in rjson:
return rjson['data']
else:
... | |
10,350 | [
-0.01719066873192787,
-0.02831994742155075,
-0.019318178296089172,
-0.0467650443315506,
0.03909798711538315,
0.005920896306633949,
-0.004137100651860237,
0.04118535295128822,
0.011841792613267899,
-0.004132083151489496,
0.04833056777715683,
-0.06097519397735596,
-0.03133057430386543,
0.011... | 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": "headers", "annotation"... | class OAuth2Session():
def __init__(self, headers):
self.headers = headers
def get(self, url, params, verify):
res = requests.get(url, params=params, headers=self.headers, verify=verify)
return res
def post(self, url, data, verify):
res = requests.post(url, data=data, headers=self.headers, verify=verify)
r... | |
10,351 | [
0.02518807165324688,
0.009072938933968544,
0.0675322487950325,
-0.011638390831649303,
-0.04598472639918327,
-0.010244742035865784,
0.025825168937444687,
-0.011183321475982666,
0.007997838780283928,
0.015608868561685085,
0.01581364870071411,
0.002199974376708269,
0.00450802780687809,
0.0120... | 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": "args", "annotation": null, "type_comment": null}}, {"_type": "arg... | def process_options(self, args, opts):
try:
self.settings.setdict(arglist_to_dict(opts.set),
priority='cmdline')
except ValueError:
raise UsageError("Invalid -s value, use -s NAME=VALUE", print_help=False)
if opts.logfile:
se... | |
10,352 | [
0.006832676474004984,
0.005026035010814667,
0.0877271518111229,
-0.017005538567900658,
0.008980689570307732,
-0.008676080964505672,
0.010818841867148876,
0.015240912325680256,
0.007946072146296501,
0.0032167674507945776,
0.004243507049977779,
-0.049115441739559174,
0.00153354462236166,
0.0... | 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": "expressions", "annotation": null, "type_comment": null}}, {"_type... | def collapse_group_by(self, expressions, having):
# If the DB can group by primary key, then group by the primary key of
# query's main model. Note that for PostgreSQL the GROUP BY clause must
# include the primary key of every table, but for MySQL it is enough to
# have the main table's... | |
10,353 | [
0.041111722588539124,
-0.01776270940899849,
0.02537841536104679,
-0.031139293685555458,
-0.018701033666729927,
-0.0016229747561737895,
-0.008755880407989025,
-0.0008585400064475834,
-0.05804521590471268,
-0.00914321281015873,
-0.005842708982527256,
-0.060052793473005295,
0.018177317455410957... | 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": "order_by", "annotation": null, "type_comment": null}}, {"_type": ... | def get_extra_select(self, order_by, select):
extra_select = []
select_sql = [t[1] for t in select]
if self.query.distinct and not self.query.distinct_fields:
for expr, (sql, params, is_ref) in order_by:
without_ordering = self.ordering_parts.search(sql).group(1)
... | |
10,354 | [
-0.00016974601021502167,
-0.017055857926607132,
0.009144937619566917,
-0.015414177440106869,
0.0034348603803664446,
-0.01173416618257761,
0.0303876344114542,
0.04239724949002266,
0.03384728729724884,
0.012824947945773602,
0.02765517123043537,
-0.028646791353821754,
0.03880538418889046,
-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": "expressions", "annotation": null, "type_comment": null}}], "kwarg... | def get_converters(self, expressions):
converters = {}
for i, expression in enumerate(expressions):
if expression:
backend_converters = self.connection.ops.get_db_converters(expression)
field_converters = expression.get_db_converters(self.connection)
... | |
10,355 | [
-0.012770761735737324,
-0.01198024395853281,
0.05598203092813492,
-0.04636221006512642,
0.015142315998673439,
-0.028636790812015533,
-0.009324771352112293,
-0.02596461772918701,
-0.024339046329259872,
-0.0075600240379571915,
0.024049559608101845,
-0.009864773601293564,
0.00558372912928462,
... | 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": "node", "annotation": null, "type_comment": null}}, {"_type": "arg... | def compile(self, node, select_format=False):
vendor_impl = getattr(node, 'as_' + self.connection.vendor, None)
if vendor_impl:
sql, params = vendor_impl(self, self.connection)
else:
sql, params = node.as_sql(self, self.connection)
if select_format and not self.su... | |
10,356 | [
-0.014371179975569248,
-0.018033791333436966,
-0.011771908961236477,
-0.02738902159035206,
-0.002180380979552865,
-0.05361803621053696,
-0.015434518456459045,
-0.013178952038288116,
0.027346057817339897,
0.011245609261095524,
-0.0018742682877928019,
-0.018646014854311943,
0.05177062004804611... | 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": "row", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def apply_converters(self, row, converters):
row = list(row)
for pos, (convs, expression) in converters.items():
value = row[pos]
for converter in convs:
value = converter(value, expression, self.connection, self.query.context)
row[pos] = value
... | |
10,357 | [
-0.012507451698184013,
0.016557684168219566,
0.021804098039865494,
-0.01729218102991581,
0.04201328381896019,
0.00572383776307106,
-0.030450187623500824,
-0.04096400365233421,
-0.021992968395352364,
-0.018624771386384964,
-0.00784863531589508,
-0.0482250414788723,
0.07273628562688828,
0.04... | 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": "alias", "annotation": null, "type_comment": null}}, {"_type": "ar... | def as_subquery_condition(self, alias, columns, compiler):
qn = compiler.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
if len(columns) == 1:
sql, params = self.as_sql()
return '%s.%s IN (%s)' % (qn(alias), qn2(columns[0]), sql), params
for index, s... | |
10,358 | [
0.05401424691081047,
0.021266577765345573,
0.02022469975054264,
-0.03724204748868942,
0.014555655419826508,
-0.006624099798500538,
-0.009535230696201324,
-0.005995908286422491,
-0.03795706108212471,
-0.046087801456451416,
0.0043641431257128716,
-0.005071496590971947,
0.05274765193462372,
-... | 13 | {"_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 as_sql(self):
# We don't need quote_name_unless_alias() here, since these are all
# going to be column names (so we can avoid the extra overhead).
qn = self.connection.ops.quote_name
opts = self.query.get_meta()
result = ['INSERT INTO %s' % qn(opts.db_table)]
has_fie... | |
10,359 | [
0.03404002636671066,
0.020291095599532127,
0.0007911606226116419,
-0.052129629999399185,
0.00871250219643116,
0.008156937547028065,
0.0038500120863318443,
0.03140239045023918,
-0.018224602565169334,
-0.0023196127731353045,
0.04303290694952011,
-0.06554625928401947,
0.06060329079627991,
0.0... | 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": "return_id", "annotation": null, "type_comment": null}}], "kwarg":... | def execute_sql(self, return_id=False):
assert not (return_id and len(self.query.objs) != 1)
self.return_id = return_id
with self.connection.cursor() as cursor:
for sql, params in self.as_sql():
cursor.execute(sql, params)
if not (return_id and cursor):
... | |
10,360 | [
-0.017193276435136795,
-0.030495505779981613,
0.039801206439733505,
-0.010407382622361183,
0.029581343755126,
0.018095718696713448,
-0.017169836908578873,
0.005455671809613705,
0.013431149534881115,
0.03077678754925728,
0.0013565929839387536,
0.04266089200973511,
-0.0016539886128157377,
0.... | 13 | {"_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": "use_gpu", "annotation"... | class Conv3DTest(test.TestCase):
def _DtypesToTest(self, use_gpu):
if use_gpu:
if not test_util.CudaSupportsHalfMatMulAndConv():
return [dtypes.float32]
else:
# It is important that float32 comes before float16 here,
# as we will be using its gradients as reference for fp16 gr... | |
10,361 | [
0.017406895756721497,
0.04861700162291527,
-0.005749517120420933,
-0.022157208994030952,
-0.04160619154572487,
-0.029026051983237267,
-0.015179161913692951,
0.007414856925606728,
-0.005940621718764305,
0.04665135219693184,
0.013617564924061298,
-0.036932323127985,
0.001020361902192235,
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}}, {"_type": "arg", "_fields": {"arg": "ms", "annotation": null, "type_comment": null}}], "kwarg": null, ... | def get_for_models(self, ms):
qs = Q()
for m in ms:
ctype = ContentType.objects.get_for_model(m)
if isinstance(m, models.Model):
qs |= Q(content_type=ctype, object_id=m.pk)
else:
qs |= Q(content_type=ctype)
return self.filter(qs... | |
10,362 | [
-0.016466880217194557,
-0.06662704050540924,
0.03721662610769272,
-0.04033910855650902,
0.03772297501564026,
-0.04658407345414162,
0.016730602830648422,
-0.00789059977978468,
0.008966590277850628,
0.04907362163066864,
-0.01798592507839203,
0.0774291455745697,
-0.007046685088425875,
0.00673... | 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": "tensor_in_sizes", "annotation": null, "type_comment": null}}, {"_... | def _SetupValuesForDevice(self, tensor_in_sizes, filter_in_sizes, stride,
padding, data_format, dtype, use_gpu):
total_size_1 = 1
total_size_2 = 1
for s in tensor_in_sizes:
total_size_1 *= s
for s in filter_in_sizes:
total_size_2 *= s
# Initializes the input ... | |
10,363 | [
-0.01940176635980606,
-0.028984783217310905,
0.08207572251558304,
-0.0210723876953125,
0.009752129204571247,
-0.0669068843126297,
-0.03566727042198181,
0.013621208257973194,
0.019996220245957375,
0.02050868049263954,
-0.03808608651161194,
0.01170460507273674,
0.022999240085482597,
0.006538... | 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": "use_gpu", "annotation": null, "type_comment": null}}], "kwarg": n... | def _DtypesToTest(self, use_gpu):
if use_gpu:
if not test_util.CudaSupportsHalfMatMulAndConv():
return [dtypes.float32]
else:
# It is important that float32 comes before float16 here,
# as we will be using its gradients as reference for fp16 gradients.
return [dtypes.floa... | |
10,364 | [
-0.010550210252404213,
-0.04038985073566437,
-0.021660398691892624,
-0.02964305318892002,
-0.005894654430449009,
-0.01678740419447422,
-0.0063563380390405655,
-0.0017052500043064356,
0.015035985969007015,
0.062097907066345215,
0.026092559099197388,
0.02071915939450264,
-0.010693183168768883,... | 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 testConv3D1x1x1Filter(self):
expected_output = [
0.18518519, 0.22222222, 0.25925926, 0.40740741, 0.5, 0.59259259,
0.62962963, 0.77777778, 0.92592593, 0.85185185, 1.05555556, 1.25925926,
1.07407407, 1.33333333, 1.59259259, 1.2962963, 1.61111111, 1.92592593
]
# These are equivalen... | |
10,365 | [
0.019934583455324173,
-0.002860106760635972,
0.025349050760269165,
-0.04364928603172302,
-0.0028823427855968475,
-0.05283275991678238,
0.02303650602698326,
-0.023258866742253304,
0.007137759122997522,
0.06870926916599274,
0.016265641897916794,
0.043538108468055725,
-0.03764556348323822,
-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": "tensor_in_sizes", "annotation": null, "type_comment": null}}, {"_... | def _VerifyValues(self, tensor_in_sizes, filter_in_sizes, stride, padding,
expected):
results = []
for data_format, use_gpu in GetTestConfigs():
for dtype in self._DtypesToTest(use_gpu):
result = self._SetupValuesForDevice(
tensor_in_sizes,
filter_in_siz... | |
10,366 | [
0.010843826457858086,
-0.011499881744384766,
-0.0032581945415586233,
-0.049935854971408844,
0.00901444349437952,
-0.01261012814939022,
0.015757927671074867,
-0.013890695758163929,
0.012692134827375412,
0.07741445302963257,
0.016363516449928284,
0.0279327891767025,
-0.02611602284014225,
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 testKernelSmallerThanStride(self):
expected_output = [
0.03703704, 0.11111111, 0.25925926, 0.33333333, 0.7037037, 0.77777778,
0.92592593, 1.
]
self._VerifyValues(
tensor_in_sizes=[1, 3, 3, 3, 1],
filter_in_sizes=[1, 1, 1, 1, 1],
stride=2,
padding="SAME",
... | |
10,367 | [
0.002000110689550638,
-0.016539007425308228,
0.02201906405389309,
-0.052406467497348785,
0.02615930698812008,
-0.01220108661800623,
0.006100543309003115,
0.01028471440076828,
-0.0067100487649440765,
0.03689977526664734,
-0.011651983484625816,
0.02923428826034069,
-0.009510478004813194,
0.0... | 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": "batch", "annotation": null, "type_comment": null}}, {"_type": "ar... | def _ConstructAndTestGradientForConfig(
self, batch, input_shape, filter_shape, in_depth, out_depth, stride,
padding, test_input, data_format, use_gpu):
input_planes, input_rows, input_cols = input_shape
filter_planes, filter_rows, filter_cols = filter_shape
input_shape = [batch, input_planes,... | |
10,368 | [
-0.000782971503213048,
-0.01893186755478382,
-0.02276957407593727,
-0.02803725376725197,
-0.009105385281145573,
-0.006306548602879047,
-0.027548374608159065,
-0.02637506276369095,
-0.0038315949495881796,
-0.010859241709113121,
0.04898574948310852,
-0.07499415427446365,
-0.0047115786001086235... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "sale.order"}}, "targets": [{"_type": "Name", "_fields": {"id": "_inherit", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": n... | class sale_order(osv.Model):
_inherit = "sale.order"
def _cart_find_product_line(self, cr, uid, ids, product_id=None, line_id=None, context=None, **kwargs):
line_ids = super(sale_order, self)._cart_find_product_line(cr, uid, ids, product_id, line_id, context=context)
if line_id:
ret... | |
10,369 | [
-0.010458980686962605,
-0.019988274201750755,
-0.026363270357251167,
-0.00895930640399456,
-0.006518877577036619,
-0.01255077589303255,
0.012595047242939472,
0.011942052282392979,
-0.0046927062794566154,
0.020187491551041603,
0.050026021897792816,
-0.08495569229125977,
0.014963535591959953,
... | 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 _cart_find_product_line(self, cr, uid, ids, product_id=None, line_id=None, context=None, **kwargs):
line_ids = super(sale_order, self)._cart_find_product_line(cr, uid, ids, product_id, line_id, context=context)
if line_id:
return line_ids
for so in self.browse(cr, uid, ids, conte... | |
10,370 | [
0.015473953448235989,
-0.05504913255572319,
-0.01291219238191843,
-0.009414182975888252,
-0.023710645735263824,
-0.024813465774059296,
0.01885134167969227,
0.008133302442729473,
-0.011774908751249313,
-0.007093664258718491,
0.06313648819923401,
-0.05550864338874817,
-0.02593926154077053,
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": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def _website_product_id_change(self, cr, uid, ids, order_id, product_id, qty=0, line_id=None, context=None):
values = super(sale_order,self)._website_product_id_change(cr, uid, ids, order_id, product_id, qty=qty, line_id=line_id, context=None)
event_ticket_id = None
if context.get("event_ticket... | |
10,371 | [
-0.003469934454187751,
-0.014784054830670357,
-0.06726490706205368,
-0.035014331340789795,
-0.013686681166291237,
-0.02584923431277275,
-0.043285273015499115,
0.036660391837358475,
-0.007534279488027096,
0.007473314180970192,
-0.009068569168448448,
-0.06311927735805511,
0.01928531751036644,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "artist_name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "song_title", "annotation": null, "type_comment": null}}], ... | def find(artist_name, song_title):
params = {
'art': artist_name,
'mus': song_title
}
response = requests.get(API_LYRIC_SEARCH_URL, params=params)
response.raise_for_status()
return SearchResult(response.json()) | |
10,372 | [
0.037870924919843674,
-0.03968377783894539,
-0.03568223863840103,
-0.04726680368185043,
0.03486424311995506,
-0.006168119143694639,
0.009655648842453957,
-0.03698660805821419,
0.014016442932188511,
0.007770945783704519,
-0.010915801860392094,
-0.06862308830022812,
0.003376989858224988,
0.0... | 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": "song", "annotation": n... | class Song(object):
def __init__(self, song):
self.id = song['id']
self.name = song.get('name', None)
self.language = song['lang']
self.url = song['url']
self.lyric = song['text']
self.is_translation = False
if not self.name:
self.is_translation =... | |
10,373 | [
0.02941480092704296,
-0.03778468817472458,
-0.02934923954308033,
-0.03050747513771057,
0.02919626608490944,
-0.015537832863628864,
0.04084417596459389,
-0.02239982970058918,
-0.003324462566524744,
0.032124634832143784,
0.011932007037103176,
-0.030791569501161575,
-0.009014565497636795,
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": "song", "annotation": null, "type_comment": null}}], "kwarg": null... | def __init__(self, song):
self.id = song['id']
self.name = song.get('name', None)
self.language = song['lang']
self.url = song['url']
self.lyric = song['text']
self.is_translation = False
if not self.name:
self.is_translation = True
# For... | |
10,374 | [
0.03344234451651573,
0.007595180068165064,
-0.08593954145908356,
0.003473764518275857,
-0.0052159992046654224,
-0.004819915164262056,
-0.005834211595356464,
0.007948444224894047,
-0.016539186239242554,
0.01375589333474636,
-0.04108569398522377,
-0.07502046972513199,
-0.014355371706187725,
... | 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": "result", "annotation":... | class SearchResult(object):
def __init__(self, result):
self.status = result['type']
if self.is_not_found():
return
song = result['mus'][0]
artist = result['art']
translations = song.get('translate', [])
self.artist = Artist(artist)
self.song = ... | |
10,375 | [
0.03278927132487297,
-0.007842455059289932,
-0.06089435890316963,
-0.01289332751184702,
0.008776925504207611,
-0.007499421946704388,
0.023290790617465973,
-0.015519307926297188,
-0.015105302445590496,
0.007333819288760424,
-0.040596239268779755,
-0.046889130026102066,
-0.03118056058883667,
... | 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": "result", "annotation": null, "type_comment": null}}], "kwarg": nu... | def __init__(self, result):
self.status = result['type']
if self.is_not_found():
return
song = result['mus'][0]
artist = result['art']
translations = song.get('translate', [])
self.artist = Artist(artist)
self.song = Song(song)
self.translat... | |
10,376 | [
0.010628397576510906,
0.03324427455663681,
0.06433405727148056,
0.0047348663210868835,
0.035223398357629776,
-0.03928185626864433,
-0.009526100009679794,
0.018125269562005997,
-0.00019063161744270474,
-0.014091864228248596,
0.014217125251889229,
-0.01696034148335457,
0.002278184751048684,
... | 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": "cr", "annotation": nul... | class pos_sales_user_today(report_sxw.rml_parse):
def __init__(self, cr, uid, name, context):
super(pos_sales_user_today, self).__init__(cr, uid, name, context=context)
self.total = 0.0
self.localcontext.update({
'time': time,
'get_data':self._get_data,
})
... | |
10,377 | [
-0.0074482448399066925,
-0.0008697887533344328,
0.04934074357151985,
0.03229846805334091,
0.022834667935967445,
-0.0363667830824852,
0.02587350271642208,
0.0013566224370151758,
-0.0013054583687335253,
-0.002649677451699972,
0.033067476004362106,
0.01356932520866394,
-0.02877589873969555,
-... | 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": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def __init__(self, cr, uid, name, context):
super(pos_sales_user_today, self).__init__(cr, uid, name, context=context)
self.total = 0.0
self.localcontext.update({
'time': time,
'get_data':self._get_data,
}) | |
10,378 | [
0.002051813527941704,
0.018249213695526123,
0.048607490956783295,
-0.05518797039985657,
-0.01670806109905243,
-0.01413947157561779,
0.024022424593567848,
0.008739318698644638,
-0.018065743148326874,
0.02879266068339348,
0.03150802478194237,
-0.03485942259430885,
0.036620743572711945,
-0.01... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "config_dict", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "testdir", "annotation": null, "type_comment": null}}, {"_t... | def prepare(config_dict, testdir, server_match, client_match):
libs, libs2 = collect_testlibs(config_dict, server_match, client_match)
libs.extend(libs2)
def prepares():
for lib in libs:
pre = lib.get('prepare')
if pre:
yield pre, lib['workdir']
def files():
for lib in libs:
... | |
10,379 | [
0.01460174098610878,
0.01220410130918026,
0.025908147916197777,
0.005016862880438566,
0.0610886849462986,
-0.050043631345033646,
-0.004698692820966244,
0.03958946838974953,
-0.026408130303025246,
-0.029953455552458763,
0.015181265771389008,
-0.03140794858336449,
0.04563470184803009,
0.0049... | 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": "form", "annotation": null, "type_comment": null}}], "kwarg": null... | def _get_data(self, form):
data={}
ids = form['user_id']
self.cr.execute("select po.name as pos,po.date_order,ru.name as user,po.state,rc.name " \
"from pos_order as po,res_users as ru,res_company as rc " \
"where to_char(date_trunc('day',po.date_... | |
10,380 | [
0.038805440068244934,
0.047767702490091324,
-0.008228988386690617,
0.0010875475127249956,
-0.007309482898563147,
0.03321857377886772,
0.034149717539548874,
0.011132994666695595,
-0.01563158631324768,
0.004041748587042093,
0.041738543659448624,
-0.012558809481561184,
-0.008746936917304993,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def getregentry():
return codecs.CodecInfo(
name='cp775',
encode=Codec().encode,
decode=Codec().decode,
incrementalencoder=IncrementalEncoder,
incrementaldecoder=IncrementalDecoder,
streamreader=StreamReader,
streamwriter=StreamWriter,
) | |
10,381 | [
-0.0070490166544914246,
0.02073107846081257,
0.03905627503991127,
-0.058595653623342514,
-0.0073975324630737305,
-0.003799948375672102,
-0.03415456414222717,
-0.03249068185687065,
0.014210457913577557,
0.011984452605247498,
0.028983037918806076,
-0.03352498635649681,
0.03251316770911217,
-... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"va... | def files():
for lib in libs:
workdir = os.path.join(testdir, lib['workdir'])
for c in lib['command']:
if not c.startswith('-'):
p = os.path.join(workdir, c)
if not os.path.exists(p):
yield os.path.split(p) | |
10,382 | [
-0.006649699527770281,
0.019859841093420982,
-0.04873470962047577,
0.00769847771152854,
-0.00638750521466136,
0.01768418401479721,
-0.04757435992360115,
-0.00850179698318243,
0.04110317677259445,
0.01342212874442339,
0.032891467213630676,
-0.02030612900853157,
0.04175029322504997,
0.026464... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare",... | def test_op_to_state():
assert operators_to_state(XOp) == XKet()
assert operators_to_state(PxOp) == PxKet()
assert operators_to_state(Operator) == Ket()
assert state_to_operators(operators_to_state(XOp("Q"))) == XOp("Q")
assert state_to_operators(operators_to_state(XOp())) == XOp()
raises(NotI... | |
10,383 | [
-0.010433445684611797,
0.017172254621982574,
-0.044829994440078735,
-0.018512211740016937,
-0.02621370740234852,
0.0322890430688858,
-0.028958667069673538,
-0.021816570311784744,
0.04680740460753441,
0.010394417680799961,
0.04110933840274811,
-0.024795696139335632,
0.05724085122346878,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare",... | def test_spin():
assert operators_to_state({J2Op, JxOp}) == JxKet()
assert operators_to_state({J2Op, JyOp}) == JyKet()
assert operators_to_state({J2Op, JzOp}) == JzKet()
assert operators_to_state({J2Op(), JxOp()}) == JxKet()
assert operators_to_state({J2Op(), JyOp()}) == JyKet()
assert operators... | |
10,384 | [
0.0030470655765384436,
0.014464668929576874,
-0.042611490935087204,
0.002331242198124528,
-0.022301673889160156,
0.02300119400024414,
-0.03317388892173767,
-0.012164548970758915,
0.04747257009148598,
0.005759190768003464,
0.03836693987250328,
-0.030280953273177147,
0.053448136895895004,
0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare",... | def test_state_to_op():
assert state_to_operators(XKet) == XOp()
assert state_to_operators(PxKet) == PxOp()
assert state_to_operators(XBra) == XOp()
assert state_to_operators(PxBra) == PxOp()
assert state_to_operators(Ket) == Operator()
assert state_to_operators(Bra) == Operator()
assert op... | |
10,385 | [
0.04317130520939827,
-0.028977999463677406,
0.012367716990411282,
0.02130281552672386,
-0.023038409650325775,
0.017021682113409042,
0.019271526485681534,
0.0001946517440956086,
-0.007475912570953369,
-0.004184711258858442,
0.022099902853369713,
-0.030880725011229515,
-0.01496468111872673,
... | 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 setUp(self):
self.lion = Animal.objects.create(
common_name="Lion", latin_name="Panthera leo")
self.platypus = Animal.objects.create(
common_name="Platypus", latin_name="Ornithorhynchus anatinus")
Vegetable.objects.create(name="Eggplant", is_yucky=True)
self.b... | |
10,386 | [
0.052013106644153595,
-0.007973594591021538,
-0.04049966484308243,
0.00636457372456789,
-0.021858854219317436,
0.0026087004225701094,
0.0028440942987799644,
0.0240995641797781,
0.014469274319708347,
-0.01374223455786705,
0.032442640513181686,
-0.043693870306015015,
-0.0042370897717773914,
... | 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 test_query_content_object(self):
qs = TaggedItem.objects.filter(
animal__isnull=False).order_by('animal__common_name', 'tag')
self.assertQuerysetEqual(
qs, ["<TaggedItem: hairy>", "<TaggedItem: yellow>"]
)
mpk = ManualPK.objects.create(id=1)
mpk.tags.... | |
10,387 | [
0.022481294348835945,
-0.009503456763923168,
-0.04348086938261986,
-0.0009252777090296149,
-0.028484823182225227,
0.02771841548383236,
0.0444771982729435,
-0.014114676974713802,
0.0194539837539196,
-0.018943045288324356,
0.02134445682168007,
-0.006460179109126329,
-0.024065203964710236,
-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_add_bulk(self):
bacon = Vegetable.objects.create(name="Bacon", is_yucky=False)
t1 = TaggedItem.objects.create(content_object=self.quartz, tag="shiny")
t2 = TaggedItem.objects.create(content_object=self.quartz, tag="clearish")
# One update() query.
with self.assertNumQuer... | |
10,388 | [
0.00781656987965107,
-0.03943995386362076,
-0.031477898359298706,
0.0005707848467864096,
-0.04412195831537247,
0.04084191098809242,
0.031319186091423035,
-0.032059840857982635,
0.038037996739149094,
-0.008715938776731491,
0.030922403559088707,
-0.04549746587872505,
-0.006335257552564144,
-... | 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_set(self):
bacon = Vegetable.objects.create(name="Bacon", is_yucky=False)
fatty = bacon.tags.create(tag="fatty")
salty = bacon.tags.create(tag="salty")
bacon.tags.set([fatty, salty])
self.assertQuerysetEqual(bacon.tags.all(), [
"<TaggedItem: fatty>",
... | |
10,389 | [
0.01619618572294712,
-0.0039478205144405365,
-0.04678608104586601,
-0.00414374191313982,
-0.031242964789271355,
0.030616017058491707,
0.032888706773519516,
-0.01823377050459385,
0.03309769183397293,
-0.014863919466733932,
0.03092949092388153,
-0.01899133436381817,
-0.010214046575129032,
-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_add_bulk_false(self):
bacon = Vegetable.objects.create(name="Bacon", is_yucky=False)
t1 = TaggedItem.objects.create(content_object=self.quartz, tag="shiny")
t2 = TaggedItem.objects.create(content_object=self.quartz, tag="clearish")
# One save() for each object.
with self... | |
10,390 | [
0.0001264941820409149,
-0.0008339632768183947,
0.02845168486237526,
-0.004997094627469778,
0.012053192593157291,
0.01536230556666851,
-0.0020907577127218246,
0.008088942617177963,
0.01010115072131157,
-0.005612121429294348,
0.02912019193172455,
-0.06781341135501862,
-0.026392681524157524,
... | 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_assign_with_queryset(self):
# Ensure that querysets used in reverse GFK assignments are pre-evaluated
# so their value isn't affected by the clearing operation in
# ManyRelatedObjectsDescriptor.__set__. Refs #19816.
bacon = Vegetable.objects.create(name="Bacon", is_yucky=False)
... | |
10,391 | [
0.011374813504517078,
-0.015285705216228962,
-0.030009059235453606,
0.00807739607989788,
-0.029753444716334343,
0.01186687033623457,
0.02722286805510521,
-0.033332038670778275,
0.028424253687262535,
-0.023554811254143715,
0.02499902807176113,
-0.0310826376080513,
-0.0025832969695329666,
-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_assign(self):
bacon = Vegetable.objects.create(name="Bacon", is_yucky=False)
fatty = bacon.tags.create(tag="fatty")
salty = bacon.tags.create(tag="salty")
bacon.tags = [fatty, salty]
self.assertQuerysetEqual(bacon.tags.all(), [
"<TaggedItem: fatty>",
... | |
10,392 | [
0.027953537181019783,
-0.013927941210567951,
0.059276144951581955,
-0.003848188789561391,
-0.006725938059389591,
0.03317803889513016,
0.0047331806272268295,
0.002145342295989394,
-0.011590342037379742,
0.0379386842250824,
0.02512156218290329,
-0.06337762624025345,
-0.011504894122481346,
-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 test_multiple_gfk(self):
# Simple tests for multiple GenericForeignKeys
# only uses one model, since the above tests should be sufficient.
tiger = Animal.objects.create(common_name="tiger")
cheetah = Animal.objects.create(common_name="cheetah")
bear = Animal.objects.create(co... | |
10,393 | [
0.05071714147925377,
-0.01880725845694542,
-0.019889891147613525,
0.027912471443414688,
-0.012068569660186768,
0.020472846925258636,
0.013407980091869831,
-0.01403951458632946,
0.018710099160671234,
-0.01636439748108387,
0.005340290255844593,
-0.0332007110118866,
0.022471552714705467,
-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 test_generic_inline_formsets(self):
GenericFormSet = generic_inlineformset_factory(TaggedItem, extra=1)
formset = GenericFormSet()
self.assertHTMLEqual(''.join(form.as_p() for form in formset.forms), """<p><label for="id_generic_relations-taggeditem-content_type-object_id-0-tag">Tag:</label>... | |
10,394 | [
0.01986355148255825,
0.02784484438598156,
-0.0118486313149333,
-0.0017655245028436184,
0.014651050791144371,
-0.005349819548428059,
0.069365493953228,
0.015637502074241638,
-0.0006372001953423023,
-0.02162347175180912,
-0.023607585579156876,
-0.0142026636749506,
-0.02068185806274414,
-0.00... | 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_update_or_create_defaults(self):
# update_or_create should work with virtual fields (content_object)
quartz = Mineral.objects.create(name="Quartz", hardness=7)
diamond = Mineral.objects.create(name="Diamond", hardness=7)
tag, created = TaggedItem.objects.update_or_create(tag="sh... | |
10,395 | [
0.01978820003569126,
0.023105232045054436,
-0.040625084191560745,
0.007654249202460051,
0.012390422634780407,
-0.02204515039920807,
0.04529856517910957,
0.015205910429358482,
0.002811212558299303,
-0.04504779353737831,
0.002419381169602275,
0.01005938183516264,
-0.00819568894803524,
-0.012... | 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_get_or_create(self):
# get_or_create should work with virtual fields (content_object)
quartz = Mineral.objects.create(name="Quartz", hardness=7)
tag, created = TaggedItem.objects.get_or_create(tag="shiny",
defaults={'content_object': quartz})
self.assertTrue(created)... | |
10,396 | [
0.029301540926098824,
-0.02075125463306904,
0.003812802955508232,
0.006298630498349667,
-0.004848564509302378,
0.006055451929569244,
0.05759434029459953,
0.013509931974112988,
0.03336052596569061,
-0.0156595129519701,
-0.022504543885588646,
-0.04373615235090256,
0.04145447537302971,
-0.033... | 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_save_new_for_proxy(self):
Formset = generic_inlineformset_factory(ForProxyModelModel,
fields='__all__', for_concrete_model=False)
instance = ProxyRelatedModel.objects.create()
data = {
'form-TOTAL_FORMS': '1',
'form-INITIAL_FORMS': '0',
... | |
10,397 | [
0.03451608493924141,
-0.01738527975976467,
-0.00034628863795660436,
-0.0012311681639403105,
-0.005216741003096104,
0.020508384332060814,
0.0693560466170311,
0.016853196546435356,
0.038772761821746826,
-0.024938566610217094,
-0.021503150463104248,
-0.05288456380367279,
0.04203467071056366,
... | 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_save_new_for_concrete(self):
Formset = generic_inlineformset_factory(ForProxyModelModel,
fields='__all__', for_concrete_model=True)
instance = ProxyRelatedModel.objects.create()
data = {
'form-TOTAL_FORMS': '1',
'form-INITIAL_FORMS': '0',
... | |
10,398 | [
0.01237546931952238,
-0.03703388199210167,
0.04300186410546303,
-0.019083667546510696,
-0.019500039517879486,
0.020113028585910797,
0.04203033074736595,
-0.017533842474222183,
0.0009845438180491328,
-0.029516072943806648,
-0.029238492250442505,
-0.06231684982776642,
0.006361222360283136,
-... | 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_generic_relation_set(self):
base = ForProxyModelModel()
base.obj = ConcreteRelatedModel.objects.create()
base.save()
newrel = ConcreteRelatedModel.objects.create()
newrel.bases = [base]
newrel = ConcreteRelatedModel.objects.get(pk=newrel.pk)
self.assertE... | |
10,399 | [
0.003396389540284872,
-0.01517451275140047,
0.03706803172826767,
-0.014822673052549362,
-0.012405192479491234,
0.0033907147590070963,
0.012984026223421097,
-0.010674367658793926,
-0.008058267645537853,
-0.029327554628252983,
-0.024742286652326584,
-0.05611278489232063,
0.004151142667979002,
... | 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_generic_relation(self):
base = ForProxyModelModel()
base.obj = ProxyRelatedModel.objects.create()
base.save()
base = ForProxyModelModel.objects.get(pk=base.pk)
rel = ProxyRelatedModel.objects.get(pk=base.obj.pk)
self.assertEqual(base, rel.bases.get()) | |
10,400 | [
0.010214361362159252,
0.010997690260410309,
0.03491409122943878,
-0.09051802009344101,
-0.017444612458348274,
-0.035486046224832535,
0.02126178704202175,
-0.02088877372443676,
0.030089780688285828,
0.0051009636372327805,
0.06684407591819763,
0.023077121004462242,
-0.010450603440403938,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "test", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def run(test):
test.create_makefile(makefile)
test.write_file("source1", "1")
test.write_file("source2", "2")
test.write_file("source3", "3")
test.write_file("source4", "4")
test.start()
test.build()
hash_source1 = test.get_hash_of("source1")
hash_source2 = test.get_hash_of("source2")
hash_source3... |