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 |
|---|---|---|---|---|---|
11,701 | [
-0.017823487520217896,
-0.014931844547390938,
0.05013011768460274,
0.007123162969946861,
0.009428998455405235,
0.016066066920757294,
0.010282780975103378,
-0.022061239928007126,
0.013959654606878757,
0.05344553664326668,
0.04210331663489342,
-0.007110699079930782,
0.01844668574631214,
0.00... | 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 TestPolygonPlotting:
def setup_method(self):
t1 = Polygon([(0, 0), (1, 0), (1, 1)])
t2 = Polygon([(1, 0), (2, 0), (2, 1)])
self.polys = GeoSeries([t1, t2], index=list('AB'))
self.df = GeoDataFrame({'geometry': self.polys, 'values': [0, 1]})
multipoly1 = MultiPolygon(... | |
11,702 | [
-0.0305643230676651,
-0.026161186397075653,
0.06520389020442963,
0.00009395820961799473,
-0.006229969207197428,
0.007916276343166828,
0.045553721487522125,
-0.0072195036336779594,
0.01269414834678173,
0.0597233884036541,
0.013150855898857117,
-0.0122608607634902,
0.02976801060140133,
-0.06... | 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 setup_method(self):
t1 = Polygon([(0, 0), (1, 0), (1, 1)])
t2 = Polygon([(1, 0), (2, 0), (2, 1)])
self.polys = GeoSeries([t1, t2], index=list('AB'))
self.df = GeoDataFrame({'geometry': self.polys, 'values': [0, 1]})
multipoly1 = MultiPolygon([t1, t2])
multipoly2 = r... | |
11,703 | [
0.028228571638464928,
-0.0467362143099308,
0.07009169459342957,
0.017043190076947212,
0.001088081393390894,
-0.004933056887239218,
0.00261960132047534,
-0.027142858132719994,
0.027294352650642395,
0.05716412141919136,
0.04804917052388191,
-0.020881064236164093,
0.014732890762388706,
0.0273... | 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 test_single_color(self):
ax = self.polys.plot(color='green')
_check_colors(2, ax.collections[0].get_facecolors(), ['green']*2)
# color only sets facecolor
_check_colors(2, ax.collections[0].get_edgecolors(), ['k'] * 2)
ax = self.df.plot(color='green')
_check_colors(... | |
11,704 | [
0.016611287370324135,
-0.020670996978878975,
0.04089505225419998,
0.018423879519104958,
0.04149097204208374,
-0.0024054087698459625,
0.0014230709057301283,
-0.006939992308616638,
0.015133900567889214,
0.07066625356674194,
0.04116818308830261,
-0.003705881303176284,
-0.004466300830245018,
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_vmin_vmax(self):
# when vmin == vmax, all polygons should be the same color
# non-categorical
ax = self.df.plot(column='values', categorical=False, vmin=0, vmax=0)
actual_colors = ax.collections[0].get_facecolors()
np.testing.assert_array_equal(actual_colors[0], actual_... | |
11,705 | [
0.025443540886044502,
-0.03527570515871048,
0.06349626928567886,
0.010182419791817665,
0.002966223983094096,
0.0007814288255758584,
0.03379962965846062,
-0.008174707181751728,
0.016624614596366882,
0.042355865240097046,
0.028770966455340385,
-0.014885847456753254,
0.008612525649368763,
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_style_kwargs(self):
# facecolor overrides default cmap when color is not set
ax = self.polys.plot(facecolor='k')
_check_colors(2, ax.collections[0].get_facecolors(), ['k']*2)
# facecolor overrides more general-purpose color when both are set
ax = self.polys.plot(color=... | |
11,706 | [
0.00030431896448135376,
-0.025280483067035675,
0.0684831514954567,
0.03319732844829559,
0.012810234911739826,
0.013915193267166615,
0.011765988543629646,
-0.009094659239053726,
0.005855673924088478,
0.07615715265274048,
0.03475155681371689,
-0.045898281037807465,
0.028316082432866096,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_multipolygons(self):
# MultiPolygons
ax = self.df2.plot()
assert len(ax.collections[0].get_paths()) == 4
_check_colors(4, ax.collections[0].get_facecolors(), [MPL_DFT_COLOR]*4)
ax = self.df2.plot('values')
cmap = plt.get_cmap(lut=2)
# colors are repeate... | |
11,707 | [
-0.031085986644029617,
-0.02750909887254238,
0.06372509896755219,
-0.0021679005585610867,
-0.004844684153795242,
0.008606888353824615,
0.04687606915831566,
-0.0100364675745368,
0.013401567004621029,
0.0580773763358593,
0.012966222129762173,
-0.013048584572970867,
0.027862081304192543,
-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 setup_method(self):
t1 = Polygon([(0, 0, 0), (1, 0, 0), (1, 1, 1)])
t2 = Polygon([(1, 0, 0), (2, 0, 0), (2, 1, 1)])
self.polys = GeoSeries([t1, t2], index=list('AB'))
self.df = GeoDataFrame({'geometry': self.polys, 'values': [0, 1]})
multipoly1 = MultiPolygon([t1, t2])
... | |
11,708 | [
-0.014896482229232788,
0.0002738002222031355,
0.03418252617120743,
0.008405539207160473,
-0.004970358684659004,
0.006578501313924789,
0.021924447268247604,
-0.004567593336105347,
-0.019858084619045258,
0.009041791781783104,
0.028321996331214905,
0.005160066764801741,
0.0011885956628248096,
... | 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 TestPolygonZPlotting:
def setup_method(self):
t1 = Polygon([(0, 0, 0), (1, 0, 0), (1, 1, 1)])
t2 = Polygon([(1, 0, 0), (2, 0, 0), (2, 1, 1)])
self.polys = GeoSeries([t1, t2], index=list('AB'))
self.df = GeoDataFrame({'geometry': self.polys, 'values': [0, 1]})
multipo... | |
11,709 | [
-0.023148102685809135,
0.0007622612174600363,
0.06470134854316711,
-0.00665862113237381,
-0.0013143231626600027,
0.01617533713579178,
0.012578080408275127,
-0.010298996232450008,
0.0023683994077146053,
0.004733718931674957,
0.0006975845317356288,
-0.0022436657454818487,
0.02327129617333412,
... | 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 setup_method(self):
pytest.importorskip('matplotlib', '1.5.0')
poly = Polygon([(1, 0), (2, 0), (2, 1)])
line = LineString([(0.5, 0.5), (1, 1), (1, 0.5), (1.5, 1)])
point = Point(0.75, 0.25)
self.series = GeoSeries([poly, line, point])
self.df = GeoDataFrame({'geometr... | |
11,710 | [
-0.013908816501498222,
-0.012920623645186424,
0.0505707785487175,
-0.01955386996269226,
0.022987840697169304,
0.011827435344457626,
0.0004026114474982023,
-0.026607098057866096,
0.0013209361350163817,
0.021802008152008057,
0.009289014153182507,
-0.0129082715138793,
0.0126859275624156,
0.02... | 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 TestNonuniformGeometryPlotting:
def setup_method(self):
pytest.importorskip('matplotlib', '1.5.0')
poly = Polygon([(1, 0), (2, 0), (2, 1)])
line = LineString([(0.5, 0.5), (1, 1), (1, 0.5), (1.5, 1)])
point = Point(0.75, 0.25)
self.series = GeoSeries([poly, line, point... | |
11,711 | [
-0.0028394346591085196,
-0.014571723528206348,
0.09096137434244156,
-0.03645417466759682,
-0.014919853769242764,
-0.02556268312036991,
0.028049325570464134,
-0.003119181841611862,
0.016324806958436966,
0.015989109873771667,
0.007764540612697601,
0.01324137020856142,
-0.03523572161793709,
-... | 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 setup_method(self):
self.N = 3
self.values = np.arange(self.N)
self.points = GeoSeries(Point(i, i) for i in range(self.N))
self.lines = GeoSeries([LineString([(0, i), (4, i + 0.5), (9, i)])
for i in range(self.N)])
self.polygons = GeoSeries([Po... | |
11,712 | [
0.01801709458231926,
-0.048943087458610535,
0.05515848100185394,
-0.01128584798425436,
-0.010480614379048347,
0.0009530691313557327,
0.0009601463680155575,
-0.014745835214853287,
0.026522371917963028,
0.030070431530475616,
0.026421718299388885,
-0.007479862309992313,
0.0023292002733796835,
... | 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_colors(self):
# default uniform color
ax = self.series.plot()
_check_colors(1, ax.collections[0].get_facecolors(), [MPL_DFT_COLOR])
_check_colors(1, ax.collections[1].get_edgecolors(), [MPL_DFT_COLOR])
_check_colors(1, ax.collections[2].get_facecolors(), [MPL_DFT_COLOR])... | |
11,713 | [
0.05325007438659668,
-0.02280038222670555,
-0.00842104759067297,
-0.013562198728322983,
0.04605473205447197,
0.01760248653590679,
0.01641082763671875,
0.03195912390947342,
-0.0153326615691185,
-0.009198462590575218,
0.03767907992005348,
0.021551979705691338,
-0.029280731454491615,
0.015321... | 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": "n", "annotation": null, "type_comment": null}}], "kwarg": null, "... | def recv(self, n):
self.__lock.acquire()
try:
if self.__mate is None:
# EOF
return bytes()
if len(self.__in_buffer) == 0:
self.__cv.wait(self.__timeout)
if len(self.__in_buffer) == 0:
raise socket.timeout... | |
11,714 | [
0.04984194040298462,
0.03894197195768356,
0.007229209411889315,
-0.010775837115943432,
-0.01804051175713539,
0.030855659395456314,
0.04322156682610512,
0.020180311053991318,
0.02002662420272827,
-0.00968229304999113,
0.04636624455451965,
0.008115866221487522,
-0.0036352933384478092,
-0.024... | 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 __unlink(self):
m = None
self.__lock.acquire()
try:
if self.__mate is not None:
m = self.__mate
self.__mate = None
finally:
self.__lock.release()
if m is not None:
m.__unlink() | |
11,715 | [
-0.012055722996592522,
0.033015135675668716,
0.049522701650857925,
-0.0138862868770957,
-0.0028379149734973907,
0.006656102370470762,
-0.01718996651470661,
0.014276228845119476,
0.004495170898735523,
0.03513815626502037,
-0.01318222377449274,
-0.048482853919267654,
0.00480929110199213,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class AzureRMMariaDbDatabaseFacts(AzureRMModuleBase):
def __init__(self):
# define user inputs into argument
self.module_arg_spec = dict(
resource_group=dict(
type='str',
required=True
),
server_name=dict(
type='str'... | |
11,716 | [
0.01219094730913639,
-0.02899410016834736,
0.018178153783082962,
0.041683077812194824,
0.0006756583461537957,
0.003494341392070055,
0.04464961588382721,
-0.0027269937563687563,
-0.0016808566870167851,
0.009343505837023258,
0.03295670077204704,
0.00393011886626482,
-0.013078742660582066,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "total_allocate_bytes", "annotation": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "type_comment": null}}, {"_typ... | def allocate_memory(
total_allocate_bytes: int,
num_chunks: int = 10,
allocate_interval_s: float = 0,
) -> int:
chunks = []
# divide by 8 as each element in the array occupies 8 bytes
bytes_per_chunk = total_allocate_bytes / 8 / num_chunks
for _ in range(num_chunks):
chunks.append([0... | |
11,717 | [
0.029123831540346146,
0.02043312042951584,
0.04909256100654602,
0.015125816687941551,
0.02377229928970337,
0.005843563005328178,
0.032639920711517334,
0.025010669603943825,
0.0261605866253376,
0.058911073952913284,
-0.014959963038563728,
-0.032463010400533676,
0.023484820500016212,
-0.0159... | 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 __init__(self):
# define user inputs into argument
self.module_arg_spec = dict(
resource_group=dict(
type='str',
required=True
),
server_name=dict(
type='str',
required=True
),
... | |
11,718 | [
0.0192561112344265,
0.04103827103972435,
0.05084174498915672,
-0.04141918197274208,
-0.010234507732093334,
0.032958924770355225,
-0.011287027969956398,
0.04522830247879028,
0.008540450595319271,
0.00041568290907889605,
-0.011657916009426117,
-0.07505974173545837,
0.01532670110464096,
-0.02... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "v... | def exec_module(self, **kwargs):
for key in self.module_arg_spec:
setattr(self, key, kwargs[key])
if (self.resource_group is not None and
self.server_name is not None and
self.name is not None):
self.results['databases'] = self.get()
elif ... | |
11,719 | [
-0.013992849737405777,
0.016798099502921104,
0.06469883769750595,
-0.003281139535829425,
0.00651218555867672,
0.014939065091311932,
-0.022197090089321136,
0.0321267805993557,
-0.003617880865931511,
-0.02831965871155262,
-0.016798099502921104,
-0.035911642014980316,
0.01426001638174057,
-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(self):
response = None
results = []
try:
response = self.mariadb_client.databases.get(resource_group_name=self.resource_group,
server_name=self.server_name,
datab... | |
11,720 | [
-0.02486826851963997,
0.03393787145614624,
0.07355992496013641,
-0.010218977928161621,
-0.010762318037450314,
0.00205450551584363,
-0.0005084019503556192,
0.01300882175564766,
0.009962980635464191,
0.007894108071923256,
-0.030782319605350494,
-0.03650829195976257,
0.02361440658569336,
-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 list_by_server(self):
response = None
results = []
try:
response = self.mariadb_client.databases.list_by_server(resource_group_name=self.resource_group,
server_name=self.server_name)
self.log("Respons... | |
11,721 | [
0.014662936329841614,
0.033592239022254944,
0.02540426515042782,
-0.04363327845931053,
-0.008398059755563736,
-0.02219371683895588,
0.012109581381082535,
0.0517566092312336,
0.025792116299271584,
-0.018961621448397636,
0.01098373532295227,
-0.0017251305980607867,
-0.024003690108656883,
-0.... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "y", "annotation": null, "type_comment": null}}, {"_type": "arg", "_f... | def target_func(x=func1, y=func2(), z=lambda: func3, w=lambda: func4()):
p1 = lambda: func5()
p2 = lambda: func6
p1(), p2()
def inner(ix=func7, iy=func8(), iz=lambda: func9, iw=lambda: func10()):
func11()
ip = lambda: func12()
ip()
func13()
inner(func14, func15(), lambda:... | |
11,722 | [
-0.001754231983795762,
-0.02903040125966072,
0.006043543107807636,
-0.017306996509432793,
0.031084135174751282,
-0.0007561114616692066,
-0.04612346738576889,
-0.028516966849565506,
0.006011453457176685,
0.04389858618378639,
0.016440577805042267,
-0.01364878099411726,
0.009049270302057266,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "package", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs":... | def use_package(package):
if not package:
return False
if package.startswith(('#', 'git+')):
return False
if sys.version_info.major > 2 and 'python_version <' in package:
return False
if sys.version_info.major == 2 and 'python_version >' in package:
return False
retu... | |
11,723 | [
0.028266791254281998,
0.03563857078552246,
0.020919915288686752,
-0.004324072040617466,
0.030259164050221443,
0.017682310193777084,
-0.009488675743341446,
0.0508304163813591,
0.022538719698786736,
0.01032298244535923,
0.0069546266458928585,
-0.03601213917136192,
0.028615456074476242,
-0.01... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cdb_id", "annotation": null, "type_comment": null}}, {"_type": ... | def save_user(module, cdb_id, name, password, databases, host):
for arg, value in dict(cdb_id=cdb_id, name=name).items():
if not value:
module.fail_json(msg='%s is required for the "rax_cdb_user" '
'module' % arg)
cdb = pyrax.cloud_databases
try:
... | |
11,724 | [
-0.021629879251122475,
0.01295615267008543,
0.02927533909678459,
-0.04021125286817551,
-0.014190072193741798,
0.010742356069386005,
-0.06755103170871735,
-0.0629056915640831,
0.04727604612708092,
0.010554849170148373,
0.023771092295646667,
-0.03447715565562248,
-0.011099224910140038,
-0.01... | 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": "f", "annotation": null... | class TestModels(unittest.TestCase):
def _readf(self, f):
with open(f) as fp:
data = json.loads(fp.read())
return data
@property
def json_data(self):
json_data = osp.join(osp.dirname(osp.abspath(__file__)),
'data/calendar-events.json')
... | |
11,725 | [
0.008795003406703472,
0.027316514402627945,
0.016595639288425446,
-0.004751816391944885,
-0.00028895214200019836,
0.03968323767185211,
-0.01699567213654518,
0.01619560830295086,
0.056050289422273636,
0.04080332815647125,
0.008434973657131195,
-0.07456608861684799,
0.05088415369391441,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def main():
argument_spec = rax_argument_spec()
argument_spec.update(
dict(
cdb_id=dict(type='str', required=True),
db_username=dict(type='str', required=True),
db_password=dict(type='str', required=True, no_log=True),
databases=dict(type='list', default=[... | |
11,726 | [
0.043918427079916,
0.05239391326904297,
-0.00900803692638874,
-0.011897407472133636,
0.00686650350689888,
0.03784508630633354,
0.0009645398240536451,
0.06816647946834564,
0.05175938829779625,
0.012135355733335018,
0.030819950625300407,
-0.049901124089956284,
0.015466629527509212,
-0.003977... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cdb_id", "annotation": null, "type_comment": null}}, {"_type": ... | def delete_user(module, cdb_id, name):
for arg, value in dict(cdb_id=cdb_id, name=name).items():
if not value:
module.fail_json(msg='%s is required for the "rax_cdb_user"'
' module' % arg)
cdb = pyrax.cloud_databases
try:
instance = cdb.get(cdb... | |
11,727 | [
0.012161987833678722,
-0.007025029044598341,
0.003304123878479004,
-0.029927929863333702,
0.030189046636223793,
-0.027417197823524475,
-0.05350872874259949,
0.004484168253839016,
0.003178587183356285,
-0.00682919193059206,
0.03601394593715668,
0.005086743738502264,
0.024946637451648712,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}},... | def asindices(x):
try:
x = np.asarray(x)
# Check index contents to avoid creating 64bit arrays needlessly
idx_dtype = get_index_dtype((x,), check_contents=True)
if idx_dtype != x.dtype:
x = x.astype(idx_dtype)
e... | |
11,728 | [
0.04250189661979675,
-0.0033577156718820333,
0.053242214024066925,
-0.003745985683053732,
0.032133448868989944,
-0.024149302393198013,
0.0033577156718820333,
0.031170975416898727,
-0.01611047238111496,
0.06129198148846626,
0.01578235626220703,
-0.005312737077474594,
0.03880513086915016,
-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 __iter__(self):
indptr = np.zeros(2, dtype=self.indptr.dtype)
shape = (1, self.shape[1])
i0 = 0
for i1 in self.indptr[1:]:
indptr[1] = i1 - i0
indices = self.indices[i0:i1]
data = self.data[i0:i1]
yield csr_matrix((data, indices, indptr... | |
11,729 | [
-0.006502213887870312,
0.018491312861442566,
0.07564720511436462,
-0.0272600706666708,
0.0025703744031488895,
0.029434312134981155,
-0.02258339896798134,
-0.013404406607151031,
-0.0191374309360981,
0.007953417487442493,
0.04075678065419197,
0.013722337782382965,
-0.008214942179620266,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "indices", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "N", "annotation": null, "type_comment": null}}], "kwarg": null... | def check_bounds(indices, N):
if indices.size == 0:
return (0, 0)
max_indx = indices.max()
if max_indx >= N:
raise IndexError('index (%d) out of range' % max_indx)
min_indx = indices.min()
if min_indx < -N:
rai... | |
11,730 | [
-0.004375241231173277,
-0.02250705473124981,
-0.03850212320685387,
-0.05229939520359039,
-0.008918369188904762,
-0.013074848800897598,
-0.0034798430278897285,
-0.01054127886891365,
0.0033399369567632675,
0.07765544205904007,
0.044362910091876984,
-0.04249071329832077,
0.0009132043924182653,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "sl", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "num", "annotation": null, "type_comment": null}}], "kwarg": null, "... | def process_slice(sl, num):
if isinstance(sl, slice):
i0, i1, stride = sl.indices(num)
if stride != 1:
raise ValueError('slicing with step != 1 not supported')
elif isintlike(sl):
if sl < 0:
sl += num
... | |
11,731 | [
0.0017228054348379374,
-0.005092262290418148,
0.011736342683434486,
0.009236191399395466,
0.00857523176819086,
0.024162381887435913,
-0.02288644202053547,
-0.000607795431278646,
0.01978280581533909,
0.020610442385077477,
-0.0010747776832431555,
-0.02430032193660736,
0.009822433814406395,
0... | 9 | {"_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": "alternative", "annotation": null, "type_comment": null}}, {"_type... | def deprecate(name, alternative, alt_name=None):
alt_name = alt_name or alternative.__name__
def wrapper(*args, **kwargs):
warnings.warn("%s is deprecated. Use %s instead" % (name, alt_name),
FutureWarning, stacklevel=2)
return alternative(*args, **kwargs)
return wrapp... | |
11,732 | [
0.019809536635875702,
0.028758332133293152,
-0.007234835997223854,
-0.0063297743909060955,
0.012376717291772366,
0.009373044595122337,
-0.016573941335082054,
0.02841893397271633,
0.026767196133732796,
0.03208443522453308,
0.01821436546742916,
-0.02590738795697689,
0.001960024004802108,
0.0... | 11 | {"_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 _deprecate_kwarg(func):
@wraps(func)
def wrapper(*args, **kwargs):
old_arg_value = kwargs.pop(old_arg_name, None)
if old_arg_value is not None:
if mapping is not None:
if hasattr(mapping, 'get'):
new_arg_value = mapp... | |
11,733 | [
0.03317518159747124,
0.010439193807542324,
0.004989359062165022,
-0.02398659847676754,
0.004879472777247429,
0.012307259254157543,
0.0021781024988740683,
0.025326162576675415,
0.024509865790605545,
0.016168976202607155,
0.009350796230137348,
-0.021726081147789955,
0.009811271913349628,
0.0... | 10 | {"_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 wrapper(*args, **kwargs):
old_arg_value = kwargs.pop(old_arg_name, None)
if old_arg_value is not None:
if mapping is not None:
if hasattr(mapping, 'get'):
new_arg_value = mapping.get(old_arg_value,
... | |
11,734 | [
-0.05227955803275108,
0.027173059061169624,
0.03493364900350571,
-0.04124325141310692,
0.0010147301945835352,
0.03823135048151016,
0.005229604430496693,
0.04344171658158302,
-0.038165394216775894,
0.031591977924108505,
-0.027766644954681396,
-0.03183380886912346,
0.04119928181171417,
-0.03... | 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": "basedir", "annotation"... | class LookupModule(object):
def __init__(self, basedir=None, **kwargs):
self.basedir = basedir
if HAVE_REDIS == False:
raise errors.AnsibleError("Can't LOOKUP(redis_kv): module redis is not installed")
def run(self, terms, inject=None, **kwargs):
terms = utils.listify_loo... | |
11,735 | [
-0.035702381283044815,
0.010863923467695713,
0.06021584942936897,
-0.06625135987997055,
0.021263577044010162,
-0.004990905057638884,
0.006824772339314222,
0.05691953003406525,
-0.010457687079906464,
0.03233642131090164,
-0.02105465531349182,
-0.009813511744141579,
0.055155303329229355,
-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": "terms", "annotation": null, "type_comment": null}}, {"_type": "ar... | def run(self, terms, inject=None, **kwargs):
terms = utils.listify_lookup_plugin_terms(terms, self.basedir, inject)
ret = []
for term in terms:
(url,key) = term.split(',')
if url == "":
url = 'redis://localhost:6379'
# urlsplit on Python 2.... | |
11,736 | [
0.03335738927125931,
0.005536564160138369,
0.03401454538106918,
-0.02608921006321907,
0.03898266702890396,
0.02699608914554119,
-0.029651012271642685,
-0.0006781058618798852,
0.051968131214380264,
-0.0026450648438185453,
0.01930733025074005,
-0.025957778096199036,
0.01918904110789299,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFoldl_Simple(self):
with self.test_session():
elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
r = functional_ops.foldl(
lambda a, x: math_ops.multiply(math_ops.add(a, x), 2),
elems)
self.assertAllEqual(208, r.eval())
r = functional_ops.foldl(
... | |
11,737 | [
0.03650232404470444,
0.011698488146066666,
0.03363790735602379,
-0.0287709292024374,
0.01453755795955658,
0.015247324481606483,
-0.009404418058693409,
-0.007452557794749737,
0.009265000000596046,
-0.022826626896858215,
0.03082418441772461,
-0.021926743909716606,
0.0033270346466451883,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFoldl_Scoped(self):
with self.test_session() as sess:
with variable_scope.variable_scope("root") as varscope:
elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
r = functional_ops.foldl(simple_scoped_fn, elems)
# Check that we have the one variable we asked for here... | |
11,738 | [
0.02986576408147812,
0.015208203345537186,
0.02708633430302143,
-0.029655996710062027,
0.03804672881960869,
0.026417698711156845,
-0.029105354100465775,
0.007531993556767702,
0.04858758673071861,
0.0031022767070680857,
0.016283266246318817,
-0.031832341104745865,
0.013857820071280003,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFoldr_Simple(self):
with self.test_session():
elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
r = functional_ops.foldr(
lambda a, x: math_ops.multiply(math_ops.add(a, x), 2),
elems)
self.assertAllEqual(450, r.eval())
r = functional_ops.foldr(
... | |
11,739 | [
0.03199855238199234,
0.015873396769165993,
0.027542419731616974,
-0.03006000816822052,
0.0106053426861763,
0.01696854829788208,
-0.01053610909730196,
-0.0004134352784603834,
0.00977453775703907,
-0.013343220576643944,
0.02839840017259121,
-0.02415626309812069,
0.0026403211522847414,
-0.017... | 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 testFoldr_Scoped(self):
with self.test_session() as sess:
with variable_scope.variable_scope("root") as varscope:
elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
r = functional_ops.foldr(simple_scoped_fn, elems)
# Check that we have the one variable we asked for here... | |
11,740 | [
0.01664035953581333,
0.034814752638339996,
0.05304114520549774,
-0.035802774131298065,
0.03309871628880501,
0.020696448162198067,
-0.013032781891524792,
-0.011388245970010757,
0.05171511694788933,
0.01643235608935356,
0.017810385674238205,
-0.01056272815912962,
-0.010263721458613873,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFold_Grad(self):
with self.test_session():
elems = constant_op.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], name="data")
v = constant_op.constant(2.0, name="v")
r = functional_ops.foldl(
lambda a, x: math_ops.multiply(a, x), elems, initializer=v)
r = gradients_impl.gradients(r,... | |
11,741 | [
0.01245515514165163,
0.041974253952503204,
0.048627156764268875,
-0.036311663687229156,
0.020365003496408463,
0.022701138630509377,
0.0036692556459456682,
-0.03313756734132767,
0.05398503318428993,
0.004399297758936882,
0.01753370836377144,
-0.0016298985574394464,
-0.008138383738696575,
0.... | 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 testMap_Grad(self):
with self.test_session():
param = constant_op.constant(2.0)
elems = constant_op.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], name="elems")
y = functional_ops.map_fn(
lambda x: math_ops.multiply(math_ops.square(x), param), elems)
r = gradients_impl.gradients(y, p... | |
11,742 | [
0.00507598789408803,
-0.011660680174827576,
0.009068803861737251,
-0.045449018478393555,
0.053583864122629166,
0.014788615517318249,
-0.03609836846590042,
-0.013727549463510513,
0.02146449312567711,
0.004432163666933775,
-0.0018748273141682148,
0.0005871788016520441,
0.04889748618006706,
0... | 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 testMapSparseTensor(self):
with self.test_session():
with self.assertRaises(TypeError):
functional_ops.map_fn(
lambda x: x,
sparse_tensor.SparseTensor(
indices=[[0, 0], [0, 1], [1, 0]],
values=constant_op.constant([0, 1, 2]),
... | |
11,743 | [
-0.013460952788591385,
0.01689240150153637,
0.04389490932226181,
-0.04951419681310654,
0.031435757875442505,
-0.0012335367500782013,
-0.009056491777300835,
0.0006750627071596682,
0.015165162272751331,
0.001728678704239428,
0.0044706715270876884,
-0.025494053959846497,
0.03763078898191452,
... | 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 testMap_MultiOutputMismatchedDtype(self):
with self.test_session():
nums = np.array([1, 2, 3, 4, 5, 6])
with self.assertRaisesRegexp(
TypeError, r"two structures don't have the same sequence type."):
# lambda emits tuple, but dtype is a list
functional_ops.map_fn(
... | |
11,744 | [
0.027074476704001427,
-0.004517573397606611,
0.05182049795985222,
-0.05632878094911575,
0.03869197890162468,
-0.010874377563595772,
0.007164951879531145,
0.01743863895535469,
0.062372855842113495,
0.007028712425380945,
0.011134471744298935,
-0.017451023682951927,
0.007313576526939869,
0.01... | 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 testMap_SingleInputMultiOutput(self):
with self.test_session() as sess:
nums = np.array([1, 2, 3, 4, 5, 6])
r = functional_ops.map_fn(
lambda x: ((x + 3) * 2, -(x + 3) * 2),
nums,
dtype=(dtypes.int64, dtypes.int64))
self.assertEqual(2, len(r))
self.assertEqu... | |
11,745 | [
0.007750635035336018,
0.004293864127248526,
0.061282411217689514,
-0.035314470529556274,
0.029099509119987488,
-0.001108093885704875,
0.01298397034406662,
-0.0049171666614711285,
0.05068325251340866,
0.00586868217214942,
0.0005762539803981781,
-0.024570778012275696,
0.019427776336669922,
0... | 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 testMap_MultiInputSameStructureOutput(self):
with self.test_session() as sess:
nums = np.array([1, 2, 3, 4, 5, 6])
r = functional_ops.map_fn(lambda x: (x[1][0], (x[1][1], x[0])),
(nums, (2 * nums, -nums)))
r = [r[0], r[1][0], r[1][1]]
self.assertEqual((6,)... | |
11,746 | [
0.02156299166381359,
0.002711566863581538,
0.035353414714336395,
-0.04112395644187927,
0.024012528359889984,
-0.0157100111246109,
0.008920789696276188,
0.01291895192116499,
0.052617937326431274,
0.0185835063457489,
0.015003413893282413,
-0.003135525155812502,
0.022505121305584908,
0.007460... | 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 testMap_MultiInputSingleOutput(self):
with self.test_session():
nums = np.array([1, 2, 3, 4, 5, 6])
r = functional_ops.map_fn(
lambda x: x[0] * x[1][0] + x[1][1], (nums, (nums, -nums)),
dtype=dtypes.int64)
self.assertEqual((6,), r.get_shape())
received = r.eval()
... | |
11,747 | [
0.034701742231845856,
0.03313358500599861,
0.031843651086091995,
-0.05271022394299507,
0.02372465841472149,
0.025469863787293434,
-0.02612747624516487,
-0.020423946902155876,
0.057161759585142136,
0.010648274794220924,
0.019197246059775352,
-0.007056694943457842,
0.01284242607653141,
-0.02... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testScan_Simple(self):
with self.test_session():
elems = constant_op.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], name="data")
v = constant_op.constant(2.0, name="v")
# pylint: disable=unnecessary-lambda
r = functional_ops.scan(lambda a, x: math_ops.multiply(a, x), elems)
self.assertA... | |
11,748 | [
0.045354507863521576,
0.03187943994998932,
0.04914437234401703,
-0.056823182851076126,
0.007282482925802469,
-0.007561149075627327,
-0.011022805236279964,
0.007678808178752661,
0.06370934098958969,
0.013574151322245598,
-0.0011905248975381255,
-0.015035602264106274,
-0.019655272364616394,
... | 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 testScan_SingleInputMultiOutput(self):
with self.test_session() as sess:
elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
initializer = (np.array(1.0), np.array(-1.0))
r = functional_ops.scan(lambda a, x: (a[0] * x, -a[1] * x), elems,
initializer)
r_value = ... | |
11,749 | [
0.020562544465065002,
0.04077117145061493,
0.029398657381534576,
-0.06917886435985565,
0.008670952171087265,
0.00004631328192772344,
-0.003247183281928301,
0.006930863484740257,
0.06106238067150116,
-0.0005887547158636153,
-0.007562014274299145,
-0.02032659947872162,
0.003276676405221224,
... | 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 testScan_MultiInputSameTypeOutput(self):
with self.test_session() as sess:
elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
r = functional_ops.scan(lambda a, x: (a[0] + x[0], a[1] + x[1]),
(elems, -elems))
r_value = sess.run(r)
self.assertAllEqual(np.cumsum(... | |
11,750 | [
0.04138351231813431,
0.03250374644994736,
0.04273684695363045,
-0.03841567784547806,
-0.002961900783702731,
-0.013818247243762016,
-0.0017658626893535256,
0.017866376787424088,
0.05712491646409035,
0.020668013021349907,
-0.003125131828710437,
0.00010749133070930839,
-0.017272809520363808,
... | 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 testScan_MultiInputSingleOutput(self):
with self.test_session():
elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
initializer = np.array(1.0)
# Multiply a * 1 each time
r = functional_ops.scan(lambda a, x: a * (x[0] + x[1]),
(elems + 1, -elems), initializer)... | |
11,751 | [
0.030338462442159653,
0.022984061390161514,
0.040940746665000916,
-0.04586856812238693,
0.007012191694229841,
0.012929311953485012,
-0.015069679357111454,
-0.018255341798067093,
0.004666498396545649,
-0.011168486438691616,
0.033573899418115616,
-0.010633394122123718,
0.0007668612524867058,
... | 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 testScan_Scoped(self):
with self.test_session() as sess:
with variable_scope.variable_scope("root") as varscope:
elems = constant_op.constant([1, 2, 3, 4, 5, 6], name="data")
r = functional_ops.scan(simple_scoped_fn, elems)
# Check that we have the one variable we asked for here.
... | |
11,752 | [
0.034449782222509384,
0.05536828562617302,
0.05135193467140198,
-0.020512085407972336,
0.002401145175099373,
0.004891940858215094,
-0.0013320603175088763,
0.016997776925563812,
0.03088766150176525,
0.0321069099009037,
0.0029151425696909428,
-0.018444141373038292,
-0.009736068546772003,
-0.... | 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 testScan_MultiOutputMismatchedInitializer(self):
with self.test_session():
elems = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0])
initializer = np.array(1.0)
# Multiply a * 1 each time
with self.assertRaisesRegexp(
ValueError, "two structures don't have the same number of elements"):... | |
11,753 | [
0.04503355175256729,
0.039053287357091904,
0.017613928765058517,
-0.02091881074011326,
0.02510741539299488,
-0.006936619523912668,
-0.008740383200347424,
-0.01050177589058876,
0.025180049240589142,
0.021899379789829254,
0.011657878756523132,
-0.04079652205109596,
0.047139957547187805,
0.02... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testScan_Control(self):
with self.test_session() as sess:
s = array_ops.placeholder(dtypes.float32, shape=[None])
b = array_ops.placeholder(dtypes.bool)
with ops.control_dependencies([b]):
c = functional_ops.scan(lambda a, x: x * a, s)
self.assertAllClose(
np.array([1.... | |
11,754 | [
0.022456899285316467,
0.05850578472018242,
0.046825580298900604,
-0.0394403375685215,
0.027367299422621727,
0.01639419049024582,
-0.009421422146260738,
0.005555299576371908,
0.04609229415655136,
-0.008354227989912033,
0.011856980621814728,
-0.004517568275332451,
0.007535827811807394,
-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 testScanFoldl_Nested(self):
with self.test_session():
elems = constant_op.constant([1.0, 2.0, 3.0, 4.0], name="data")
inner_elems = constant_op.constant([0.5, 0.5], name="data")
def r_inner(a, x):
return functional_ops.foldl(
lambda b, y: b * y * x, inner_elems, initialize... | |
11,755 | [
0.014093974605202675,
0.006244638469070196,
0.03271593526005745,
-0.007432612590491772,
0.04299097880721092,
0.03848787024617195,
-0.014952301979064941,
0.01612161658704281,
0.017912907525897026,
0.01972907781600952,
0.0030523468740284443,
0.003548372769728303,
0.03376085311174393,
-0.0013... | 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 testFoldShape(self):
with self.test_session():
x = constant_op.constant([[1, 2, 3], [4, 5, 6]])
def fn(_, current_input):
return current_input
initializer = constant_op.constant([0, 0, 0])
y = functional_ops.foldl(fn, x, initializer=initializer)
self.assertAllEqual(y.get_... | |
11,756 | [
0.030394189059734344,
0.05619390681385994,
0.05235676467418671,
-0.04745936393737793,
0.025875451043248177,
0.011587153188884258,
-0.024701589718461037,
-0.020725606009364128,
0.05518413335084915,
0.005329711828380823,
0.007478636689484119,
0.0064057521522045135,
-0.007188326679170132,
-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 testScan_Grad(self):
with self.test_session():
elems = constant_op.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], name="data")
v = constant_op.constant(2.0, name="v")
# pylint: disable=unnecessary-lambda
r = functional_ops.scan(
lambda a, x: math_ops.multiply(a, x), elems, initializ... | |
11,757 | [
0.011355449445545673,
0.018537579104304314,
0.021836038678884506,
0.012531781569123268,
0.029485154896974564,
0.002491578459739685,
-0.009972224943339825,
-0.0081161018460989,
0.0024132546968758106,
0.024567021057009697,
-0.021185806021094322,
-0.012330800294876099,
0.03960515931248665,
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 testScanUnknownShape(self):
x = array_ops.placeholder(dtypes.float32)
initializer = array_ops.placeholder(dtypes.float32)
def fn(_, current_input):
return current_input
y = functional_ops.scan(fn, x, initializer=initializer)
self.assertIs(None, y.get_shape().dims) | |
11,758 | [
0.01330959890037775,
0.037429507821798325,
0.04142358526587486,
-0.013752056285738945,
0.02563861571252346,
0.02719319611787796,
-0.017160173505544662,
0.001346804667264223,
0.00988354254513979,
0.010690729133784771,
0.005689166020601988,
0.010947832837700844,
0.03680767863988876,
0.006056... | 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 testScanShape(self):
with self.test_session():
x = constant_op.constant([[1, 2, 3], [4, 5, 6]])
def fn(_, current_input):
return current_input
initializer = constant_op.constant([0, 0, 0])
y = functional_ops.scan(fn, x, initializer=initializer)
self.assertAllEqual(y.get_s... | |
11,759 | [
0.06947960704565048,
-0.0003305243735667318,
0.025030354037880898,
-0.036206696182489395,
-0.006566102150827646,
0.02677665650844574,
-0.009930646978318691,
0.0026092687621712685,
0.012724732980132103,
-0.003355813678354025,
0.01998935639858246,
-0.05970030277967453,
-0.005137043539434671,
... | 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 TestSerializerTools(DragonTestCase):
def test_m2m(self):
reverse_m2m = ReverseM2M.objects.create(number=12)
m2m = M2M.objects.create(name='test')
m2m.many.add(reverse_m2m)
mapping = serializer_tools.get_id_mappings(M2MSerializer(instance=m2m))
self.assertEqual(list(mapp... | |
11,760 | [
0.013853918761014938,
0.009467043913900852,
0.04628332331776619,
-0.02529326267540455,
0.02811424992978573,
0.02015332691371441,
0.015611059032380581,
-0.00918614026159048,
0.0038519632071256638,
0.03963726758956909,
0.011744154617190361,
0.0020051724277436733,
0.043605778366327286,
0.0191... | 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 testScanVaryingShape(self):
with self.test_session() as sess:
x = array_ops.placeholder(dtype=dtypes.float32, shape=[None, 2])
x_t = array_ops.transpose(x)
# scan over dimension 0 (with shape None)
result = functional_ops.scan(lambda a, x: a + x, x)
# scanned over transposed dimens... | |
11,761 | [
-0.011941822245717049,
0.032975584268569946,
-0.01322253979742527,
-0.010170741006731987,
0.007488157134503126,
-0.0408906452357769,
-0.02216448448598385,
0.0017681973986327648,
0.006115136202424765,
-0.016626248136162758,
0.007003561593592167,
0.0032854434102773666,
-0.004620966035872698,
... | 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": "accepted_media_type", "annotation": null, "type_comment": null}},... | def get_indent(self, accepted_media_type, renderer_context):
if accepted_media_type:
# If the media type looks like 'application/json; indent=4',
# then pretty print the result.
# Note that we coerce `indent=0` into `indent=None`.
base_media_type, params = parse_h... | |
11,762 | [
-0.005471839103847742,
-0.008487928658723831,
0.027578460052609444,
-0.058899011462926865,
-0.004219601862132549,
-0.019733702763915062,
-0.009969174861907959,
-0.050011537969112396,
0.002899148967117071,
0.015475121326744556,
0.002760282251983881,
-0.043579813092947006,
0.060731079429388046... | 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": "response", "annotation": null, "type_comment": null}}, {"_type": ... | def get_template_names(self, response, view):
if response.template_name:
return [response.template_name]
elif self.template_name:
return [self.template_name]
elif hasattr(view, 'get_template_names'):
return view.get_template_names()
elif hasattr(view, ... | |
11,763 | [
0.023690970614552498,
-0.024442099034786224,
0.012748868204653263,
-0.02626916579902172,
0.006942855194211006,
-0.012261650525033474,
-0.022330820560455322,
-0.0051310136914253235,
0.027791721746325493,
-0.002887781010940671,
-0.011754131875932217,
-0.04912780597805977,
0.05485261604189873,
... | 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": "response", "annotation": null, "type_comment": null}}], "kwarg": ... | def get_exception_template(self, response):
template_names = [name % {'status_code': response.status_code}
for name in self.exception_template_names]
try:
# Try to find an appropriate error template
return self.resolve_template(template_names)
e... | |
11,764 | [
0.008910122327506542,
-0.003084273310378194,
0.014176233671605587,
-0.014678855426609516,
0.0279869232326746,
-0.05981205403804779,
-0.03390415757894516,
0.01157744787633419,
-0.00396100664511323,
-0.006494108587503433,
-0.015981104224920273,
-0.025542352348566055,
0.02954048290848732,
-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": "data", "annotation": null, "type_comment": null}}, {"_type": "arg... | def render(self, data, accepted_media_type=None, renderer_context=None):
renderer_context = renderer_context or {}
response = renderer_context['response']
if response and response.exception:
request = renderer_context['request']
template = self.get_exception_template(res... | |
11,765 | [
0.047707393765449524,
-0.0020084972493350506,
0.024389958009123802,
0.016743268817663193,
-0.004563186317682266,
-0.09454087913036346,
0.0490182563662529,
-0.015591301023960114,
-0.03656507655978203,
-0.011261487379670143,
-0.02016938291490078,
-0.034658368676900864,
-0.006837331689894199,
... | 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 GenericContentForm(forms.Form):
def __init__(self):
super(GenericContentForm, self).__init__()
self.fields[content_type_field] = forms.ChoiceField(
label='Media type',
choices=choices,
... | |
11,766 | [
0.05877560004591942,
0.016754375770688057,
-0.018138432875275612,
-0.018138432875275612,
-0.003618841292336583,
-0.041334398090839386,
0.01159277930855751,
-0.03504890576004982,
-0.013819758780300617,
0.0316355936229229,
0.011894566006958485,
-0.0011934891808778048,
0.057152196764945984,
-... | 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": "field", "annotation": null, "type_comment": null}}, {"_type": "ar... | def render_field(self, field, parent_style):
if isinstance(field._field, serializers.HiddenField):
return ''
style = dict(self.default_style[field])
style.update(field.style)
if 'template_pack' not in style:
style['template_pack'] = parent_style.get('template_pac... | |
11,767 | [
0.02539714053273201,
0.006601289380341768,
0.0010763973696157336,
0.010313746519386768,
0.021684683859348297,
-0.043098922818899155,
-0.017136309295892715,
0.0175542663782835,
-0.0006799512775614858,
0.04071410000324249,
0.006619729101657867,
-0.027339419350028038,
0.03483809158205986,
-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": "data", "annotation": null, "type_comment": null}}, {"_type": "arg... | def render(self, data, accepted_media_type=None, renderer_context=None):
self.accepted_media_type = accepted_media_type or ''
self.renderer_context = renderer_context or {}
response = renderer_context['response']
request = renderer_context['request']
view = self.renderer_context... | |
11,768 | [
0.038109488785266876,
0.0006318198866210878,
0.03041410632431507,
0.02561725117266178,
-0.003368004923686385,
-0.08867038786411285,
0.0430288165807724,
-0.012635122053325176,
-0.03555796667933464,
-0.008073005825281143,
-0.01661549136042595,
-0.022616663947701454,
-0.007695381063967943,
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 __init__(self):
super(GenericContentForm, self).__init__()
self.fields[content_type_field] = forms.ChoiceField(
label='Media type',
choices=choices,
initial=initial
)
... | |
11,769 | [
0.023196760565042496,
0.00039336777990683913,
0.06277231872081757,
0.02666451968252659,
-0.014409812167286873,
0.03575514256954193,
0.0015783690614625812,
0.00974695011973381,
0.026938805356621742,
0.052506182342767715,
-0.0016616345383226871,
-0.03930126875638962,
-0.043376374989748,
-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": "module", "annotation": null, "type_comment": null}}], "kwarg": nu... | def __init__(self, module):
self.module = module
try:
region, ec2_url, aws_connect_kwargs = get_aws_connection_info(module, boto3=True)
self.client = boto3_conn(module, conn_type='client',
resource='cloudformation', region=region,
... | |
11,770 | [
-0.009339535608887672,
0.005236934870481491,
-0.010928754694759846,
-0.0397765189409256,
0.01618008315563202,
-0.023907369002699852,
-0.07213668525218964,
0.007830929942429066,
0.012863454408943653,
0.013462290167808533,
0.008544926531612873,
-0.056152377277612686,
0.024782590568065643,
-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": "stack_name", "annotation": null, "type_comment": null}}], "kwarg"... | def describe_stack(self, stack_name):
try:
func = partial(self.client.describe_stacks,StackName=stack_name)
response = self.paginated_response(func, 'Stacks')
if response:
return response[0]
self.module.fail_json(msg="Error describing stack - an em... | |
11,771 | [
0.03914753720164299,
0.014206767082214355,
0.0069572231732308865,
-0.054862674325704575,
-0.014405544847249985,
0.04015311598777771,
-0.02353763021528721,
-0.018568186089396477,
0.029091717675328255,
0.05832374840974808,
0.025537101551890373,
-0.06594745814800262,
0.011581731028854847,
-0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def main():
argument_spec = ec2_argument_spec()
argument_spec.update(dict(
stack_name=dict(required=True, type='str' ),
all_facts=dict(required=False, default=False, type='bool'),
stack_policy=dict(required=False, default=False, type='bool'),
stack_events=dict(required=False, def... | |
11,772 | [
0.017415735870599747,
-0.008740421384572983,
-0.02595541626214981,
-0.018479127436876297,
0.012836645357310772,
0.01026497595012188,
-0.059506479650735855,
-0.019802941009402275,
0.005021266173571348,
-0.016591066494584084,
0.02043229341506958,
-0.050478510558605194,
0.012131335213780403,
... | 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": "stack_name", "annotation": null, "type_comment": null}}], "kwarg"... | def get_stack_policy(self, stack_name):
try:
response = self.client.get_stack_policy(StackName=stack_name)
stack_policy = response.get('StackPolicyBody')
if stack_policy:
return json.loads(stack_policy)
return dict()
except Exception as e:
... | |
11,773 | [
0.008219203911721706,
0.0088275745511055,
0.022273795679211617,
-0.01610318385064602,
-0.04799915850162506,
-0.03250434622168541,
0.0651576817035675,
0.024508623406291008,
0.014600882306694984,
0.033423107117414474,
-0.02490592747926712,
-0.002588676754385233,
-0.007275609765201807,
0.0258... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "settings", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def test_invalid_unicode_characters(settings):
# Adds a BooleanField that uses non valid unicode characters "ñ"
form_helper = FormHelper()
form_helper.add_layout(
Layout(
'españa'
)
)
template = get_template_from_string("""
{% load crispy_forms_tags %}
{%... | |
11,774 | [
0.05051812157034874,
-0.012461277656257153,
0.015290039591491222,
0.017245987430214882,
-0.031421348452568054,
-0.03137928247451782,
0.04462924972176552,
0.04908796772360802,
-0.051317326724529266,
0.01924399845302105,
-0.02164161019027233,
0.004640116821974516,
0.03095865063369274,
-0.002... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fie... | def test_unicode_form_field():
class UnicodeForm(forms.Form):
def __init__(self, *args, **kwargs):
super(UnicodeForm, self).__init__(*args, **kwargs)
self.fields['contraseña'] = forms.CharField()
helper = FormHelper()
helper.layout = Layout('contraseña')
if PY2:... | |
11,775 | [
0.033138785511255264,
0.061599668115377426,
0.04533630609512329,
-0.03390386328101158,
0.018099548295140266,
0.007896692492067814,
0.025990774855017662,
-0.007393927313387394,
-0.011738474480807781,
0.016962861642241478,
0.021378451958298683,
-0.04461494833230972,
0.04109559208154678,
-0.0... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "ClassDef", "_fields... | def test_meta_extra_fields_with_missing_fields():
class FormWithMeta(TestForm):
class Meta:
fields = ('email', 'first_name', 'last_name')
form = FormWithMeta()
# We remove email field on the go
del form.fields['email']
form_helper = FormHelper()
form_helper.layout = Layout(... | |
11,776 | [
-0.009252671152353287,
0.007400910370051861,
0.04093494266271591,
-0.02810751646757126,
-0.008621109649538994,
-0.010914349928498268,
0.038874708116054535,
-0.020479734987020493,
-0.012318499386310577,
0.0010883691720664501,
-0.027052871882915497,
0.017033744603395462,
0.038948286324739456,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "settings", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def test_layout_unresolved_field(settings):
form_helper = FormHelper()
form_helper.add_layout(
Layout(
'typo'
)
)
template = get_template_from_string("""
{% load crispy_forms_tags %}
{% crispy form form_helper %}
""")
c = Context({'form': TestForm(), ... | |
11,777 | [
0.03728502243757248,
-0.01261772122234106,
0.049222227185964584,
-0.013036022894084454,
-0.011050651781260967,
0.008384760469198227,
0.05509093403816223,
0.008715655654668808,
0.00045771239092573524,
-0.0033245605882257223,
-0.0006785693112760782,
-0.019866200163960457,
0.038508713245391846,... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "settings", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def test_double_rendered_field(settings):
form_helper = FormHelper()
form_helper.add_layout(
Layout(
'is_company',
'is_company',
)
)
template = get_template_from_string("""
{% load crispy_forms_tags %}
{% crispy form form_helper %}
""")
c ... | |
11,778 | [
0.03572003170847893,
-0.010625733062624931,
0.00868601817637682,
-0.0016759013524278998,
0.005855742841959,
0.023300977423787117,
0.02054389752447605,
0.014126979745924473,
0.034109700471162796,
0.03481727093458176,
0.021959036588668823,
-0.047504715621471405,
0.04345449060201645,
0.018055... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields":... | def test_context_pollution():
class ExampleForm(forms.Form):
comment = forms.CharField()
form = ExampleForm()
form2 = TestForm()
template = get_template_from_string("""
{% load crispy_forms_tags %}
{{ form.as_ul }}
{% crispy form2 %}
{{ form.as_ul }}
""")
... | |
11,779 | [
0.005133891478180885,
-0.02795354090631008,
0.05735921114683151,
-0.021878788247704506,
-0.01842997409403324,
-0.013734748587012291,
0.035214200615882874,
-0.010655018500983715,
0.0007502681692130864,
0.01159285381436348,
-0.0028210689779371023,
-0.02049926295876503,
0.03037375956773758,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "settings", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def test_layout_fieldset_row_html_with_unicode_fieldnames(settings):
form_helper = FormHelper()
form_helper.add_layout(
Layout(
Fieldset(
'Company Data',
'is_company',
css_id="fieldset_company_data",
css_class="fieldsets",
... | |
11,780 | [
0.040153492242097855,
0.020846718922257423,
0.00494736060500145,
-0.029695656150579453,
-0.01992734894156456,
0.011813906952738762,
0.010555518791079521,
0.0072113098576664925,
0.0030626519583165646,
-0.011245045810937881,
0.011457650922238827,
-0.018444864079356194,
0.055208176374435425,
... | 10 | {"_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_change_layout_dynamically_delete_field():
template = get_template_from_string("""
{% load crispy_forms_tags %}
{% crispy form form_helper %}
""")
form = TestForm()
form_helper = FormHelper()
form_helper.add_layout(
Layout(
Fieldset(
'Comp... | |
11,781 | [
0.010324944742023945,
-0.006381257902830839,
0.01242782361805439,
-0.02419889159500599,
-0.006283375900238752,
-0.0025986023247241974,
0.014840134419500828,
0.004859354812651873,
-0.008708316832780838,
0.012225745245814323,
0.006409675348550081,
-0.04822096601128578,
0.06077508628368378,
0... | 10 | {"_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_modelformset_layout():
CrispyModelFormSet = modelformset_factory(CrispyTestModel, form=TestForm4, extra=3)
formset = CrispyModelFormSet(queryset=CrispyTestModel.objects.none())
helper = FormHelper()
helper.layout = Layout(
'email'
)
html = render_crispy_form(form=formset, helpe... | |
11,782 | [
-0.0062820096500217915,
-0.03004741668701172,
0.023597845807671547,
-0.03012329526245594,
-0.0006848718039691448,
-0.015453680418431759,
0.03755927085876465,
-0.010976918041706085,
0.0026983870193362236,
0.021991776302456856,
0.0012820104602724314,
-0.044059429317712784,
0.029769200831651688... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "settings", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def test_formset_layout(settings):
TestFormSet = formset_factory(TestForm, extra=3)
formset = TestFormSet()
helper = FormHelper()
helper.form_id = 'thisFormsetRocks'
helper.form_class = 'formsets-that-rock'
helper.form_method = 'POST'
helper.form_action = 'simpleAction'
helper.layout = L... | |
11,783 | [
0.010735630057752132,
0.004180931486189365,
-0.002248518168926239,
-0.03289874270558357,
0.023379817605018616,
-0.007837009616196156,
0.02669593319296837,
0.006423485465347767,
-0.02351102977991104,
0.00743144191801548,
-0.009113357402384281,
0.0014068149030208588,
0.025717798620462418,
0.... | 8 | {"_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_i18n():
template = get_template_from_string("""
{% load crispy_forms_tags %}
{% crispy form form.helper %}
""")
form = TestForm()
form_helper = FormHelper()
form_helper.layout = Layout(
HTML(_("i18n text")),
Fieldset(
_("i18n legend"),
... | |
11,784 | [
0.0036216469015926123,
-0.013065836392343044,
0.03990788385272026,
-0.006368009839206934,
0.007915613241493702,
-0.014055288396775723,
0.05596744641661644,
0.0008467423031106591,
0.01321806013584137,
0.011366008780896664,
-0.010179935954511166,
-0.01655428856611252,
-0.00880358275026083,
0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "settings", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def test_l10n(settings):
settings.USE_L10N = True
settings.USE_THOUSAND_SEPARATOR = True
form = TestForm5(data={'pk': 1000})
html = render_crispy_form(form)
# Make sure values are unlocalized
assert 'value="1,000"' not in html
# Make sure label values are NOT localized.
# Dirty check,... | |
11,785 | [
0.015880266204476357,
0.003169088391587138,
0.04571380838751793,
-0.0062743304297327995,
0.003180696628987789,
-0.014939988031983376,
0.02435438521206379,
0.0262349434196949,
0.015682924538850784,
0.02353019081056118,
-0.0022752429358661175,
-0.010911879129707813,
0.05567380040884018,
0.00... | 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_modelform_layout_without_meta():
test_form = TestForm4()
test_form.helper = FormHelper()
test_form.helper.layout = Layout('email')
html = render_crispy_form(test_form)
assert 'email' in html
assert 'password' not in html | |
11,786 | [
0.0411483570933342,
0.012922238558530807,
0.07130247354507446,
0.011027599684894085,
-0.01968022994697094,
-0.030234169214963913,
0.040668025612831116,
0.0058373562060296535,
0.04509774595499039,
0.023162629455327988,
0.0082056550309062,
-0.013062335550785065,
0.013742804527282715,
0.03330... | 8 | {"_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_specialspaceless_not_screwing_intended_spaces():
# see issue #250
test_form = TestForm()
test_form.fields['email'].widget = forms.Textarea()
test_form.helper = FormHelper()
test_form.helper.layout = Layout(
'email',
HTML("<span>first span</span> <span>second span</span>")
... | |
11,787 | [
0.026277249678969383,
-0.009950933046638966,
0.055705830454826355,
-0.01613239012658596,
0.026980239897966385,
-0.0145324831828475,
0.02824077196419239,
0.017998946830630302,
-0.0015271833399310708,
0.020059432834386826,
-0.016423281282186508,
-0.011235706508159637,
0.04392470046877861,
-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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_layout_composition():
form_helper = FormHelper()
form_helper.add_layout(
Layout(
Layout(
MultiField(
"Some company data",
'is_company',
'email',
css_id="multifield_info",
... | |
11,788 | [
0.007958900183439255,
-0.0006558393943123519,
0.051069606095552444,
-0.004133416805416346,
0.016486292704939842,
-0.019731439650058746,
0.027832461521029472,
0.035128120332956314,
-0.0024353403132408857,
0.010629631578922272,
0.01590595580637455,
0.01261343527585268,
0.008343816734850407,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_second_layout_multifield_column_buttonholder_submit_div():
form_helper = FormHelper()
form_helper.add_layout(
Layout(
MultiField(
"Some company data",
'is_company',
'email',
css_id="multifield_info",
tit... | |
11,789 | [
0.0626019686460495,
-0.016573967412114143,
-0.01644030585885048,
-0.03392560034990311,
0.0626019686460495,
0.0585678331553936,
0.01136726327240467,
0.02171384170651436,
-0.008451022207736969,
-0.007886000908911228,
-0.006036010570824146,
-0.03161690756678581,
-0.004067548085004091,
0.00890... | 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 TestDotDict(unittest.TestCase):
def setUp(self):
self.dd = DotDict([('z', 1), (2, 'y'), ('x', 3)])
def test_get(self):
assert_equal(self.dd[2], 'y')
assert_equal(self.dd.x, 3)
assert_raises(KeyError, self.dd.__getitem__, 'nonex')
assert_raises(AttributeError, self... | |
11,790 | [
0.005830259528011084,
0.01130465418100357,
0.023119382560253143,
-0.012455285526812077,
0.02156543731689453,
-0.03888421505689621,
0.0012514595873653889,
-0.01104961708188057,
-0.015503864735364914,
0.010195540264248848,
0.015610624104738235,
0.01717643067240715,
0.05067521706223488,
0.004... | 8 | {"_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_form_inline():
form = TestForm()
form.helper = FormHelper()
form.helper.form_class = 'form-inline'
form.helper.field_template = 'bootstrap3/layout/inline_field.html'
form.helper.layout = Layout(
'email',
'password1',
'last_name',
)
html = render_crispy_form(... | |
11,791 | [
0.09045582264661789,
-0.024412792176008224,
-0.00829392485320568,
-0.033920932561159134,
0.036721982061862946,
0.017435872927308083,
-0.015264419838786125,
-0.011833780445158482,
-0.0030259015038609505,
0.001602089498192072,
0.013247152790427208,
-0.02153465338051319,
0.013581221923232079,
... | 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_is_ordered(self):
assert_equal(list(self.dd), ['z', 2, 'x'])
self.dd.z = 'new value'
self.dd.a_new_item = 'last'
self.dd.pop('x')
assert_equal(self.dd.items(), [('z', 'new value'), (2, 'y'),
('a_new_item', 'last')])
self.dd.... | |
11,792 | [
0.06215813383460045,
-0.06629239022731781,
0.011279080994427204,
-0.02680058777332306,
0.03470856323838234,
0.02821873500943184,
-0.0038938969373703003,
-0.01688557118177414,
-0.009374196641147137,
-0.031607866287231445,
0.02219761535525322,
-0.0376410037279129,
-0.01664520800113678,
0.020... | 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_order_does_not_affect_equality(self):
d = dict(a=1, b=2, c=3, d=4, e=5, f=6, g=7)
od1 = OrderedDict(sorted(d.items()))
od2 = OrderedDict(reversed(od1.items()))
dd1 = DotDict(sorted(d.items()))
dd2 = DotDict(reversed(dd1.items()))
for d1, d2 in [(dd1, dd2), (dd1, ... | |
11,793 | [
-0.0009122040355578065,
-0.06709464639425278,
0.021336833015084267,
-0.007939686067402363,
0.022299913689494133,
-0.012875476852059364,
-0.0013063220540061593,
0.037330858409404755,
0.01168882381170988,
-0.05163948982954025,
0.0007387921214103699,
0.00575268967077136,
0.0024865262676030397,
... | 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 testBaseApi(self):
factory.make_twitter_connection()
transaction.commit()
params = {
'api_key': self.api_key
}
res = self.app.get('/api/v1/admin/social_connections',
params=params,
status=200)
connecti... | |
11,794 | [
-0.007468998897820711,
0.005108460783958435,
-0.024123750627040863,
-0.016610162332654,
-0.025840505957603455,
-0.015651453286409378,
-0.010417581535875797,
0.004316969774663448,
0.01191695500165224,
0.00634864903986454,
0.006142415571957827,
-0.034290507435798645,
0.02312045358121395,
0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "obj", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}... | def get_context(obj):
if isinstance(obj, _cprequest.Request):
return "path=%s;stage=%s" % (obj.path_info, obj.stage)
elif isinstance(obj, _cprequest.Response):
return "status=%s" % obj.status
elif isinstance(obj, _cpwsgi.AppResponse):
return "PATH_INFO=%s" % obj.environ.get('PATH_INF... | |
11,795 | [
0.027109652757644653,
0.03370238468050957,
0.03378601372241974,
-0.05533435568213463,
-0.02313728630542755,
0.024489285424351692,
-0.032503705471754074,
-0.01064175833016634,
0.007150257937610149,
0.056728165596723557,
0.04856042563915253,
-0.02110232040286064,
-0.027848372235894203,
-0.03... | 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 stats(self):
output = ["Statistics:"]
for trial in range(10):
if request_counter.count > 0:
break
time.sleep(0.5)
else:
output.append("\nNot all requests closed properly.")
# gc_collect isn't perfectly synchronous,... | |
11,796 | [
-0.025458961725234985,
0.03565176948904991,
0.046651702374219894,
0.0036579961888492107,
-0.024697959423065186,
-0.007731083780527115,
-0.007702257949858904,
-0.03477546572685242,
0.02193068154156208,
-0.0003437478735577315,
-0.021411815658211708,
-0.0668758973479271,
0.07384020835161209,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "res.partner"}}, "targets": [{"_type": "Name", "_fields": {"id": "_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": nul... | class res_partner(osv.osv):
_name = 'res.partner'
_inherit = 'res.partner'
_columns = {
'property_product_pricelist': fields.property(
type='many2one',
relation='product.pricelist',
string="Sale Pricelist",
help="This pricelist will be used, instead... | |
11,797 | [
0.02546665072441101,
0.0277940072119236,
-0.006987664382904768,
-0.021863725036382675,
-0.041914794594049454,
-0.026966005563735962,
-0.0033092100638896227,
0.014165544882416725,
0.028219198808073997,
0.01465787086635828,
0.02452675811946392,
0.03726008161902428,
0.0120284054428339,
-0.021... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "tag", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}... | def get_commits(tag):
commit_start_marker = "|=== COMMIT START MARKER ===|"
commit_end_marker = "|=== COMMIT END MARKER ===|"
field_end_marker = "|=== COMMIT FIELD END MARKER ===|"
log_format =\
commit_start_marker + "%h" +\
field_end_marker + "%an" +\
field_end_marker + "%s" +\
... | |
11,798 | [
-0.007320750504732132,
-0.019983956590294838,
-0.00411527743563056,
-0.03715386614203453,
-0.009653446264564991,
0.01041514240205288,
-0.02054465003311634,
-0.007934339344501495,
0.018386509269475937,
0.0736306682229042,
-0.01865098625421524,
0.023951126262545586,
0.03321843594312668,
0.00... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "str_list", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def nice_join(str_list):
str_list = list(str_list) # sometimes it's a set
if not str_list:
return ""
elif len(str_list) == 1:
return next(iter(str_list))
elif len(str_list) == 2:
return " and ".join(str_list)
else:
return ", ".join(str_list[:-1]) + ", and " + str_lis... | |
11,799 | [
0.0214603953063488,
-0.035862989723682404,
0.008721275255084038,
-0.025935295969247818,
-0.031526267528533936,
-0.05867329239845276,
0.007599892094731331,
-0.0031409345101565123,
0.005043564829975367,
-0.01275506429374218,
0.013849874027073383,
-0.010560129769146442,
-0.021874934434890747,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "author", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "jira_client", "annotation": null, "type_comment": null}}], "kwa... | def get_jira_name(author, jira_client):
if jira_client:
try:
return jira_client.user(author).displayName
except JIRAError as e:
# If this is not a "not found" exception
if e.status_code != 404:
raise e
return None | |
11,800 | [
0.028629183769226074,
-0.052102770656347275,
-0.024547670036554337,
-0.0032613053917884827,
-0.025602225214242935,
-0.08295823633670807,
-0.005433881655335426,
0.023395473137497902,
-0.02208704501390457,
-0.01534961722791195,
-0.0002900328254327178,
-0.0027706450782716274,
-0.021969871595501... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "author", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "github_client", "annotation": null, "type_comment": null}}], "k... | def get_github_name(author, github_client):
if github_client:
try:
return github_client.get_user(author).name
except GithubException as e:
# If this is not a "not found" exception
if e.status != 404:
raise e
return None |