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 |
|---|---|---|---|---|---|
14,001 | [
-0.020721638575196266,
0.00009870750363916159,
0.0072771706618368626,
-0.04105932265520096,
0.011698666960000992,
0.008285055868327618,
0.014734321273863316,
-0.03616388142108917,
-0.03647584468126297,
-0.003389613702893257,
0.026372995227575302,
0.030428532510995865,
-0.0032636281102895737,... | 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_packinfo():
ggplot2 = localRepo.packinfo('ggplot2')
print('ggplot2: {0}'.format(ggplot2.as_dict))
assert(ggplot2.name == 'ggplot2')
assert(ggplot2.version == '2.2.1')
assert(ggplot2.license == 'GPL-2 | file LICENSE')
plyr = localRepo.packinfo('plyr')
print('plyr: {0}'.format(plyr.as... | |
14,002 | [
0.010293782688677311,
-0.058079108595848083,
-0.02641693502664566,
0.019455071538686752,
-0.021124010905623436,
-0.0004243130679242313,
-0.0006243623211048543,
0.019812701269984245,
-0.009441431611776352,
0.021398194134235382,
0.05965267866849899,
-0.014221752062439919,
-0.01459130272269249,... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "chunk", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def download_catching_exceptions(chunk):
try:
result = download_transactions(chunk)
sys.stdout.write('.' if result != None and len(result) == 25 else '+')
sys.stdout.flush()
return result
except:
print("Chunk failed", list(map(lambda t: t[1], sample[idx * 25:idx *25 + 25])), sys.exc_info()[1])
traceback.p... | |
14,003 | [
-0.005165683571249247,
-0.034180741757154465,
-0.041966356337070465,
-0.025588084012269974,
-0.004949086811393499,
-0.030311673879623413,
-0.0313560850918293,
-0.0011237809667363763,
-0.008705408312380314,
0.011536001227796078,
0.016864873468875885,
-0.009364099241793156,
0.03325501456856727... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "transactions", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlya... | def download_transactions(transactions):
ids = [tr[1] for tr in transactions]
items, not_found, killed = allegro.get_items_info(ids)
items = {item['itemInfo']['itId']: item for item in items}
transactions_with_items = []
killed_info = []
for transaction in transactions:
if transaction[1] in items:
tr_info = ... | |
14,004 | [
-0.005107862409204245,
-0.04045221582055092,
-0.004183826968073845,
-0.037218090146780014,
-0.006057565100491047,
0.008829671889543533,
-0.05318336933851242,
0.002228272845968604,
-0.0024753238540142775,
0.02310088463127613,
0.02933812327682972,
-0.04258263111114502,
0.0049538565799593925,
... | 11 | {"_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": "response", "annotation": null, "type_comment": null}}], "kwarg... | def main(request, response):
last_event_id = request.headers.get("Last-Event-Id", "")
ident = request.GET.first('ident', "test")
cookie = "COOKIE" if ident in request.cookies else "NO_COOKIE"
origin = request.GET.first('origin', request.headers["origin"])
credentials = request.GET.first('credentials... | |
14,005 | [
0.02339177019894123,
-0.016255298629403114,
0.00010892619320657104,
-0.04938262701034546,
-0.006872158497571945,
-0.014350036159157753,
-0.04398621991276741,
-0.011073646135628223,
-0.008160687983036041,
0.021244220435619354,
0.025197915732860565,
0.01791827194392681,
0.017962325364351273,
... | 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 create_plot():
fig, ax = plt.subplots()
x = np.linspace(0, 10, 100)
l1 = ax.plot(x, np.sin(x), label='sin', lw=3, alpha=0.2)
l2 = ax.plot(x, np.cos(x), label='cos', lw=3, alpha=0.2)
l3 = ax.plot(x[::5], 0.5 * np.sin(x[::5] + 2), 'ob', label='dots',
alpha=0.2)
labels = ['si... | |
14,006 | [
0.03717420995235443,
-0.008410070091485977,
0.05205748602747917,
-0.05019990727305412,
-0.00668274937197566,
0.019108133390545845,
-0.016333092004060745,
-0.07847133278846741,
-0.0177829097956419,
-0.011983642354607582,
-0.00022547200205735862,
-0.023083802312612534,
0.027206718921661377,
... | 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 _get_attribute_names(self):
names = []
for dim in self.dimensions:
for attr in dim.fields:
if not attr['isSystemField']:
names.append(dim.name +' '+ attr['displayName'])
names.append('Unit')
names.append('Scale')
... | |
14,007 | [
0.021554412320256233,
-0.009353137575089931,
0.034880876541137695,
-0.06090088188648224,
-0.05119612440466881,
-0.006850763224065304,
-0.007085177581757307,
-0.04285096749663353,
0.006311609875410795,
-0.012799031101167202,
-0.001665807911194861,
-0.007647772319614887,
0.016244923695921898,
... | 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": "series_point", "annotation": null, "type_comment": null}}], "kwar... | def _get_series_with_metadata(self, series_point):
names = []
for dim in self.dimensions:
for item in dim.items:
if item.name == series_point[dim.id]:
dim_attrs = item.fields
break
for attr in dim.fields:
... | |
14,008 | [
-0.00155809021089226,
0.004194531589746475,
0.012634540908038616,
-0.06915033608675003,
-0.019993368536233902,
0.012906251475214958,
-0.03020515665411949,
-0.00754562858492136,
0.002262839348986745,
-0.009792901575565338,
0.010223109275102615,
-0.027827689424157143,
0.01854424551129341,
-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": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _get_metadata_series(self, resp, names_of_attributes):
series = {}
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
serie_name = self._get_series_name(series_point)
if serie_name not in series... | |
14,009 | [
0.032963160425424576,
0.0014706256333738565,
0.07034333795309067,
-0.03763861954212189,
0.013803175650537014,
-0.0027488877531141043,
-0.04388822615146637,
0.023365546017885208,
-0.04701302945613861,
0.03329208493232727,
0.015154125168919563,
-0.06564438343048096,
-0.0016226073494181037,
-... | 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": "client", "annotation":... | class SelectionDataReader(DataReader):
def __init__(self, client, dim_values, transform = None):
super().__init__(client)
self.dim_values = dim_values
self.transform = transform
def _get_dim_members(self, dim, splited_values):
members = []
for value in splited_... | |
14,010 | [
0.05744225159287453,
-0.013977933675050735,
0.03180607408285141,
-0.04474373534321785,
-0.002382466336712241,
-0.017648784443736076,
-0.0057035707868635654,
0.00903962180018425,
-0.01755312830209732,
0.044839393347501755,
0.018808631226420403,
-0.03094515949487686,
-0.004265720956027508,
-... | 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": "dim", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def _get_dim_members(self, dim, splited_values):
members = []
for value in splited_values:
if value is None or isinstance(value, str) and not value:
raise ValueError('Selection for dimension {} is empty'.format(dim.name))
member = dim.find_member_by_id(valu... | |
14,011 | [
-0.006127414293587208,
-0.0008308105170726776,
0.06801608949899673,
-0.020046846941113472,
0.004322601482272148,
-0.028662217780947685,
-0.03510584682226181,
0.031716976314783096,
-0.02723030000925064,
0.037158261984586716,
0.024748310446739197,
-0.0358695350587368,
0.018459804356098175,
-... | 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 _create_pivot_request(self):
pivot_req = definition.PivotRequest(self.dataset.id)
filter_dims = []
time_range = None
for name, value in self.dim_values.items():
if definition.is_equal_strings_ignore_case(name, 'timerange'):
time_range = value
... | |
14,012 | [
-0.011840561404824257,
0.00011348289990564808,
0.06740902364253998,
-0.04768632724881172,
-0.0073728617280721664,
0.005711942445486784,
-0.03995466232299805,
0.02828771434724331,
-0.010347469709813595,
-0.007853197865188122,
-0.0006438232958316803,
-0.050093792378902435,
0.005361818242818117... | 15 | {"_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": "reader", "annotation":... | class PivotResponseReader(ResponseReader):
def __init__(self, reader, pivot_resp):
self.pivot_resp = pivot_resp
super().__init__(reader)
def get_pandasframe(self):
names_of_dimensions = self.reader._get_dimension_names()
# create dataframe with data
... | |
14,013 | [
0.011344479396939278,
0.03762512654066086,
0.01476096361875534,
-0.01989663951098919,
-0.01623925007879734,
-0.025579828768968582,
-0.003561575198546052,
0.034033436328172684,
-0.023477377369999886,
-0.0018328013829886913,
-0.011410180479288101,
-0.039026759564876556,
0.018626408651471138,
... | 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": "reader", "annotation":... | class ResponseReader(object):
def __init__(self, reader):
self.include_metadata = reader.include_metadata
self.dataset = reader.dataset
self.reader = reader
super().__init__()
def _get_detail_columns(self, resp):
detail_columns = []
if resp.descriptor is... | |
14,014 | [
0.02445509098470211,
-0.01942450739443302,
0.09273770451545715,
-0.04878519847989082,
0.023871835321187973,
0.012258791364729404,
-0.015675004571676254,
0.020518112927675247,
0.0008000241359695792,
-0.007066771388053894,
0.020195240154862404,
-0.01678944006562233,
0.024538414552807808,
-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 get_pandasframe(self):
names_of_dimensions = self.reader._get_dimension_names()
# create dataframe with data
detail_columns = self._get_detail_columns(self.pivot_resp)
series = self._get_data_series(self.pivot_resp, detail_columns)
pandas_series = PandasHel... | |
14,015 | [
-0.009969905018806458,
-0.0013887676177546382,
0.029955552890896797,
-0.046411626040935516,
-0.026701010763645172,
-0.01556221954524517,
-0.057252466678619385,
-0.007070610765367746,
-0.018312538042664528,
0.026907283812761307,
0.013625537045300007,
-0.03765644505620003,
0.003761633764952421... | 14 | {"_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": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _get_data_series(self, resp, detail_columns):
series_map = {}
columns = None
frequency_list = []
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
series_name = self._get_series_name(ser... | |
14,016 | [
-0.0010979506187140942,
0.0073130205273628235,
0.014705840498209,
-0.06561768800020218,
-0.01806880347430706,
0.014876838773488998,
-0.022423556074500084,
-0.0063326312229037285,
-0.011496774852275848,
-0.007854514755308628,
0.0019650536123663187,
-0.03609200939536095,
0.021648366004228592,
... | 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": "resp", "annotation": null, "type_comment": null}}], "kwarg": null... | def _get_metadata_series(self, resp):
series = {}
names_of_attributes = self._get_attribute_names(resp)
for series_point in resp.tuples:
serie_name = self._get_series_name(series_point)
if serie_name not in series:
serie_attrs = self._get_series_with... | |
14,017 | [
0.009480493143200874,
-0.054368264973163605,
0.040001630783081055,
-0.06103166565299034,
-0.04969963803887367,
-0.0048781828954815865,
-0.0309190321713686,
-0.03874959051609039,
0.005135487765073776,
-0.03675481304526329,
-0.009496408514678478,
-0.016074925661087036,
0.012371857650578022,
... | 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": "series_point", "annotation": null, "type_comment": null}}], "kwar... | def _get_series_name(self, series_point):
names = []
for dim in self.dataset.dimensions:
if dim.id in series_point:
names.append(series_point[dim.id])
if self.dataset.has_time:
names.append(series_point['Frequency'])
return tuple(names) | |
14,018 | [
0.021478567272424698,
0.007817869074642658,
0.038677878677845,
-0.06014469265937805,
-0.021701935678720474,
0.020937781780958176,
-0.03105986677110195,
-0.0606149397790432,
-0.01861005648970604,
-0.008775998838245869,
0.011503436602652073,
-0.025087719783186913,
0.02272472344338894,
-0.023... | 14 | {"_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": "resp", "annotation": null, "type_comment": null}}], "kwarg": null... | def _get_attribute_names(self, resp):
resp_dims = [dim for dim in (resp.header + resp.stub + resp.filter) if dim.fields and any(dim.fields)]
names = []
for dim in resp_dims:
for d in self.dataset.dimensions:
if dim.dimensionid == d.id:
for at... | |
14,019 | [
0.006460936740040779,
0.004677354358136654,
0.043606773018836975,
-0.07289635390043259,
-0.06299564987421036,
0.0075771925039589405,
-0.011726751923561096,
-0.031133828684687614,
0.003212268464267254,
-0.006952331867069006,
0.01156295370310545,
-0.018466752022504807,
0.011823817156255245,
... | 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": "series_point", "annotation": null, "type_comment": null}}, {"_typ... | def _get_series_with_metadata(self, series_point, resp):
names = []
resp_dims = [dim for dim in (resp.header + resp.stub + resp.filter) if dim.fields and any(dim.fields)]
for dim in resp_dims:
if dim.dimensionid == 'Time' or not dim.metadataFields:
continue
... | |
14,020 | [
0.00838687364012003,
-0.004515570588409901,
0.06221452355384827,
-0.06590908020734787,
0.0013925859238952398,
0.014139664359390736,
-0.036466650664806366,
-0.0032184841111302376,
-0.017252672463655472,
-0.007440428249537945,
0.0071610561572015285,
-0.04613635689020157,
-0.008495202288031578,... | 14 | {"_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": "reader", "annotation":... | class StreamingResponseReader(ResponseReader):
def __init__(self, reader, data_streaming):
self.data_streaming = data_streaming
super().__init__(reader)
def get_pandasframe(self):
detail_columns = self._get_detail_columns(self.data_streaming)
# create dataframe with d... | |
14,021 | [
0.037120938301086426,
-0.00158085604198277,
0.055899277329444885,
-0.04739196598529816,
0.024629712104797363,
0.01969132013618946,
0.02085329405963421,
0.014161565341055393,
-0.005789123475551605,
-0.01445205882191658,
0.030377335846424103,
-0.004222532734274864,
0.01572815701365471,
-0.02... | 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 get_pandasframe(self):
detail_columns = self._get_detail_columns(self.data_streaming)
# create dataframe with data
series = self._get_data_series(self.data_streaming, detail_columns)
pandas_series = {}
names_of_dimensions = self.reader._get_dimension_names()
i... | |
14,022 | [
-0.01003340631723404,
0.0030314272735267878,
0.03851766884326935,
-0.06352882832288742,
-0.013916527852416039,
-0.0003934373671654612,
-0.044619716703891754,
-0.011908640153706074,
-0.03617814928293228,
0.03740820661187172,
0.018993528559803963,
-0.024408189579844475,
-0.008061697706580162,
... | 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": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _get_data_series(self, resp, detail_columns):
series_map = {}
dict_with_delta = TimeFormat.get_frequencies_delta()
frequency_list = []
use_stat_format_for_date_label = self._get_use_stat_format_for_date_label(resp.series)
dimensions_members_with_id = self._get_dimensio... | |
14,023 | [
-0.03131765499711037,
0.002468095626682043,
0.034978464245796204,
-0.07817604392766953,
-0.014596010558307171,
0.007097251247614622,
-0.009092983789741993,
-0.05342423543334007,
0.0038113773334771395,
0.025035228580236435,
0.04140260070562363,
0.002971457317471504,
-0.03918249532580376,
-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": "series", "annotation": null, "type_comment": null}}], "kwarg": nu... | def _get_use_stat_format_for_date_label(self, series):
use_stat_format_for_date_label = {}
date_labels_by_freq = {}
has_date_labels_by_freq = {}
dict_with_delta = TimeFormat.get_frequencies_delta()
for series_point in series:
freq = series_point['frequency']
... | |
14,024 | [
0.02886245958507061,
-0.0531630739569664,
0.04561847820878029,
-0.05961107090115547,
-0.05640900135040283,
-0.0023014850448817015,
-0.03434545174241066,
-0.030068717896938324,
0.003092406550422311,
-0.02283117175102234,
0.0023014850448817015,
-0.03857832029461861,
0.018258357420563698,
-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": "series_point", "annotation": null, "type_comment": null}}, {"_typ... | def _get_series_name(self, series_point, dimensions_members_with_id):
names = []
for dim in self.dataset.dimensions:
name = series_point[dim.id]['name'] if 'name' in series_point[dim.id] else series_point[dim.id]
members_with_id = dimensions_members_with_id[dim.id] if dim.id ... | |
14,025 | [
0.0337083600461483,
-0.029946912080049515,
0.040893688797950745,
-0.05102066695690155,
-0.0346246100962162,
0.026523031294345856,
-0.007559063844382763,
-0.016842124983668327,
-0.018734904006123543,
0.003631846746429801,
0.016022320836782455,
-0.04752444848418236,
0.003939272835850716,
-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": "series", "annotation": null, "type_comment": null}}], "kwarg": nu... | def _get_dimensions_members_with_id(self, series):
dimensions_members_with_id = {}
for dim in self.dataset.dimensions:
names = set()
names_with_id = set()
ids = set()
for series_point in series:
name = series_point[dim.id]['name'] ... | |
14,026 | [
0.0026697919238358736,
0.0008933143690228462,
0.026590604335069656,
-0.06891282647848129,
-0.01454826258122921,
0.016311688348650932,
-0.02930535189807415,
-0.018550775945186615,
-0.006821673363447189,
-0.0029627294279634953,
0.004524579271674156,
-0.04385361447930336,
0.019768930971622467,
... | 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": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _get_metadata_series(self, resp, names_of_attributes):
series = {}
dimensions_members_with_id = self._get_dimensions_members_with_id(resp.series)
for series_point in resp.series:
serie_name = self._get_series_name(series_point, dimensions_members_with_id)
if seri... | |
14,027 | [
0.046268753707408905,
-0.018576592206954956,
0.04724940285086632,
-0.058928027749061584,
-0.003660714253783226,
0.016882745549082756,
-0.01583523489534855,
-0.08397912234067917,
-0.015445205383002758,
-0.02202000468969345,
0.005184618756175041,
-0.020705044269561768,
0.023535551503300667,
... | 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 _get_attribute_names(self):
names = []
for dim in self.dataset.dimensions:
for attr in self.data_streaming.dimensionFields[dim.id]:
if not attr['isSystemField']:
names.append(dim.name +' '+ attr['displayName'])
names.append('Unit') ... | |
14,028 | [
-0.015393713489174843,
0.00804694090038538,
0.02206532284617424,
-0.03772910311818123,
0.007026695180684328,
-0.015603763982653618,
-0.023005550727248192,
0.041369982063770294,
-0.005716379266232252,
-0.00954230222851038,
0.009587313048541546,
-0.018484460189938545,
0.024425892159342766,
-... | 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": "reader", "annotation":... | class DetailsResponseReader(ResponseReader):
def __init__(self, reader, data_resp):
self.data_resp = data_resp
super().__init__(reader)
def get_pandasframe(self):
records = self.convert_pandasframe()
if not self.include_metadata:
return records
r... | |
14,029 | [
0.02250749245285988,
-0.02231760323047638,
0.037732165306806564,
-0.05334778502583504,
-0.04094911739230156,
-0.016218798235058784,
-0.008081474341452122,
-0.03585560992360115,
-0.010712002404034138,
-0.0197485089302063,
-0.012912487611174583,
-0.027321750298142433,
0.017380475997924805,
-... | 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": "series_point", "annotation": null, "type_comment": null}}, {"_typ... | def _get_series_with_metadata(self, series_point, dimensionFields):
names = []
for dim in self.dataset.dimensions:
dimFields = dimensionFields[dim.id]
dimValues = series_point[dim.id]
for attr in dimFields:
if not attr['isSystemField']:
... | |
14,030 | [
0.028160281479358673,
0.005815951153635979,
0.04736953601241112,
-0.05348459258675575,
0.012894794344902039,
0.00544483819976449,
-0.03236992284655571,
0.02339673973619938,
-0.04036824032664299,
0.029245926067233086,
0.01105030719190836,
-0.04335930198431015,
-0.010064365342259407,
0.00926... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "client", "annotation":... | class TransformationDataReader(SelectionDataReader):
def __init__(self, client, dim_values, transform, frequency):
if dim_values == None:
dim_values = {}
if transform:
dim_values['transform'] = transform
if frequency:
dim_values['frequency'] = fre... | |
14,031 | [
0.0029154783114790916,
-0.015569306910037994,
0.03835071623325348,
-0.0612727552652359,
0.035216767340898514,
0.00009746511204866692,
-0.038190003484487534,
0.03158058226108551,
0.015067070722579956,
-0.01595100574195385,
0.027743499726057053,
-0.009452075697481632,
0.04463870823383331,
-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 convert_pandasframe(self):
titles = []
columns = []
indexes = []
for col in self.data_resp.columns:
indexes.append(col['index'])
if col['dimensionId'] != None:
if 'detailColumns' in col:
titles.append(col['name'])
... | |
14,032 | [
-0.009119044058024883,
-0.01318705826997757,
0.03471929579973221,
-0.01554002333432436,
0.016533495858311653,
-0.008888976648449898,
0.008522960357367992,
-0.03089180774986744,
-0.015759631991386414,
0.05734958499670029,
0.018102139234542847,
-0.03883960098028183,
-0.017600173130631447,
-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": "client", "annotation": null, "type_comment": null}}, {"_type": "a... | def __init__(self, client, dim_values, transform, frequency):
if dim_values == None:
dim_values = {}
if transform:
dim_values['transform'] = transform
if frequency:
dim_values['frequency'] = frequency
super().__init__(client, dim_values) | |
14,033 | [
0.00251743639819324,
-0.004125244449824095,
0.027001600712537766,
-0.023320531472563744,
0.03004433400928974,
0.002127785701304674,
-0.03370412439107895,
0.056513987481594086,
0.01233051810413599,
-0.011117679998278618,
0.06825936585664749,
-0.029959222301840782,
0.03208700940012932,
-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 get_pandasframe(self):
data_resp = self.client.get_dataset_data(self.dataset.id, self._get_data_filters())
if isinstance(data_resp, definition.DetailsResponse):
response_reader = DetailsResponseReader(self, data_resp)
return response_reader.get_pandasframe()
if... | |
14,034 | [
-0.005397949833422899,
0.013186462223529816,
0.040279507637023926,
-0.06540107727050781,
0.009196288883686066,
-0.028663143515586853,
-0.035061586648225784,
-0.020529327914118767,
-0.03567546233534813,
0.043490536510944366,
-0.0010425510117784142,
-0.028379816561937332,
0.011321233585476875,... | 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 _get_data_filters(self):
filter_dims = {}
passed_params = ['timerange', 'transform']
for name, value in self.dim_values.items():
if name.lower() in passed_params:
filter_dims[name] = value
continue
if definition.is_equal_string... | |
14,035 | [
0.03987348824739456,
0.000048691148549551144,
0.08365567773580551,
-0.0523860901594162,
-0.00020258496806491166,
0.048763394355773926,
-0.005866026505827904,
0.0015231112483888865,
-0.03777613863348961,
-0.00635163439437747,
0.03410577401518822,
-0.03086441569030285,
-0.025025201961398125,
... | 14 | {"_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": "client", "annotation":... | class StreamingDataReader(SelectionDataReader):
def __init__(self, client, dim_values, transform = None, group_by = None):
self.group_by = group_by
super().__init__(client, dim_values, transform)
def get_series_metadata(self):
self._load_dimensions()
pivot_req = s... | |
14,036 | [
0.002008548006415367,
0.010534114204347134,
0.002274275990203023,
-0.02574741840362549,
0.014132576994597912,
0.004123981110751629,
-0.021709538996219635,
-0.029381509870290756,
-0.005002813413739204,
0.05044974014163017,
-0.009091166779398918,
-0.0035628345794975758,
-0.042207714170217514,
... | 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": "required_frequency", "annotation": null, "type_comment": null}}, ... | def _get_frequency_for_normalization(self, required_frequency, available_frequency):
sorted_frequency = ['A', 'H', 'Q', 'M', 'W', 'D']
sorted_available_frequency = []
for f in sorted_frequency:
if f in available_frequency:
sorted_available_frequency.append(f)
... | |
14,037 | [
0.012392942793667316,
-0.0036208645906299353,
0.03689008578658104,
-0.0466381199657917,
-0.02065105549991131,
0.02236042730510235,
0.04465155676007271,
-0.00751314964145422,
0.0039789085276424885,
-0.0010344296460971236,
-0.011006966233253479,
-0.03682078421115875,
-0.003932709340006113,
-... | 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": "group_name", "annotation": null, "type_comment": null}}, {"_type"... | def _get_all_series_for_group(self, group_name, group_name_index, frequency, series, metadata):
series_by_group = {}
for series_name, series_item in series.items():
if series_name[group_name_index] == group_name:
series_by_group[series_name] = series_item
... | |
14,038 | [
0.028628647327423096,
0.001389790209941566,
0.07778704911470413,
-0.07171288132667542,
-0.000010351922355766874,
0.03576226532459259,
0.006703953258693218,
0.004741031210869551,
-0.015844637528061867,
0.019752824679017067,
0.02799297869205475,
-0.02003534510731697,
0.018010621890425682,
-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": "metadata", "annotation": null, "type_comment": null}}, {"_type": ... | def get_pandasframe_by_metadata_grouped(self, metadata, frequency, timerange):
self._load_dimensions()
names_of_dimensions = self._get_dimension_names()
series = {}
series_with_attr = {}
offset = 0
detail_columns = None
was = False
while ... | |
14,039 | [
0.0379168801009655,
0.020558511838316917,
0.04839008301496506,
-0.03769868612289429,
-0.039977580308914185,
0.009473158977925777,
-0.01923724077641964,
0.015831023454666138,
-0.04310499504208565,
-0.00815188605338335,
0.027007291093468666,
-0.03786839172244072,
-0.005421459209173918,
-0.05... | 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": "metadata", "annotation": null, "type_comment": null}}, {"_type": ... | def _get_part_of_metadata(self, metadata, offset):
limit = 50000
member_count_limit = 200
if offset >= len(metadata):
return None
curr_points = 0
curr_member_count = 0
time_points = 0
dim_values = {}
index = offset
for i i... | |
14,040 | [
0.0004032131109852344,
0.004169813357293606,
0.07459624856710434,
-0.026038751006126404,
-0.03345175459980965,
0.0027172265108674765,
-0.008427044376730919,
-0.0010970892617478967,
-0.032822348177433014,
0.013532225042581558,
0.04834769293665886,
-0.027460742741823196,
-0.027553988620638847,... | 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": "start_date", "annotation": null, "type_comment": null}}, {"_type"... | def _get_time_point_amount(self, start_date, end_date, frequency):
count = 0
dict_with_delta = TimeFormat.get_frequencies_delta()
date_format = '%Y-%m-%dT%H:%M:%S' + ('Z' if start_date.endswith('Z') else '')
data_begin_val = datetime.strptime(start_date, date_format)
date_... | |
14,041 | [
0.0030337534844875336,
0.003282232442870736,
0.012724429368972778,
-0.07022128254175186,
-0.025726228952407837,
0.01412284467369318,
-0.026858830824494362,
-0.006604914553463459,
-0.00006085565109970048,
-0.008153573609888554,
0.010482341051101685,
-0.03277609497308731,
0.017266390845179558,... | 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": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _get_metadata_series(self, resp, names_of_attributes):
series = {}
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
serie_name = series_point['Mnemonics']
if serie_name not in series:
... | |
14,042 | [
-0.01442627888172865,
-0.006498377304524183,
0.03519011288881302,
-0.0578957200050354,
-0.015665199607610703,
-0.00922638550400734,
-0.06394737213850021,
0.006084410939365625,
-0.009833932854235172,
0.0377156063914299,
0.014271413907408714,
-0.036024004220962524,
-0.021764501929283142,
-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": "resp", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _get_data_series(self, resp, detail_columns):
series = {}
frequency_list = []
for series_point in resp.tuples:
val = series_point['Value']
if val is None:
continue
series_name = series_point['Mnemonics']
if series_name n... | |
14,043 | [
0.037100668996572495,
-0.024218492209911346,
0.04798891022801399,
-0.06734578311443329,
0.025002624839544296,
0.02098114602267742,
0.009588820859789848,
0.04834737256169319,
0.011173888109624386,
-0.008149377070367336,
0.027579061686992645,
-0.028273578733205795,
0.04364257678389549,
-0.03... | 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_pandasframe_one_dataset(self):
pandas_series = {}
if self.include_metadata:
pandas_series_with_attr = {}
names_of_attributes = self._get_attribute_names()
mnemonics = self.mnemonics
mnemonics_string = self.separator.join(mnemonics) if isinstance(m... | |
14,044 | [
0.03047722578048706,
-0.018666425719857216,
0.05083424225449562,
-0.04892212525010109,
0.0350010059773922,
0.040247660130262375,
0.007024685852229595,
0.0545651949942112,
0.0272825974971056,
0.0021263519302010536,
-0.013956097885966301,
-0.03663329780101776,
0.032109517604112625,
-0.014818... | 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 _get_pandasframe_across_datasets(self):
mnemonics_string = self.separator.join(self.mnemonics) if isinstance(self.mnemonics, list) else self.mnemonics
mnemonics_resp = self.client.get_mnemonics(mnemonics_string, self.transform, self.frequency)
dict_datasets = {}
pa... | |
14,045 | [
0.0653347596526146,
0.009732727892696857,
0.03424907848238945,
-0.014140399172902107,
-0.0036985420156270266,
-0.01823173090815544,
0.003316297894343734,
-0.05234372988343239,
-0.02208053320646286,
0.054494842886924744,
0.030305374413728714,
-0.011187892407178879,
0.0150999641045928,
-0.03... | 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": "name", "annotation": null, "type_comment": null}}, {"_type": "arg... | def __init__(self, name, values=[], index=[], detail_columns=None):
self.name = name
self.values = values
self.index = index
self.column_count = len(detail_columns) if detail_columns is not None else 0
self.column_values = [] if self.column_count > 0 else None
for _... | |
14,046 | [
0.01772608608007431,
-0.010050415061414242,
0.044221825897693634,
-0.04849102720618248,
-0.004111330956220627,
0.02929740399122238,
-0.006479404401034117,
-0.026842612773180008,
-0.0165075846016407,
-0.02662915177643299,
0.03550553694367409,
-0.005469915922731161,
0.05137274041771889,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "pandas_series", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "names_of_dimensions", "annotation": null, "type_comment"... | def create_pandas_dataframe(pandas_series, names_of_dimensions, detail_columns):
pandas_data_frame = pandas.DataFrame(pandas_series)
pandas_data_frame.sort_index()
if isinstance(pandas_data_frame.columns, pandas.MultiIndex):
column_names = names_of_dimensions
if deta... | |
14,047 | [
0.01832936517894268,
-0.013988719321787357,
0.013673036359250546,
-0.059822000563144684,
-0.0307199377566576,
-0.024899525567889214,
0.007467885036021471,
0.013554655015468597,
0.011700015515089035,
-0.0414729043841362,
0.012114349752664566,
-0.019365202635526657,
0.04178858548402786,
-0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "series", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "pandas_series", "ann... | class PandasHelper(object):
@staticmethod
def creates_pandas_series(series, pandas_series, detail_columns):
for _, series_content in series.items():
series_content.creates_pandas_series(pandas_series, detail_columns)
return pandas_series
@staticmethod
def create_pand... | |
14,048 | [
-0.009394650347530842,
0.0024552729446440935,
0.05153488740324974,
-0.009394650347530842,
0.00622540945187211,
0.05303389951586723,
-0.03140164911746979,
-0.007249516900628805,
-0.001260750344954431,
0.040292322635650635,
-0.0238032266497612,
-0.0267237089574337,
-0.0453062504529953,
-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": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"k... | def get_frequencies_delta():
return {
'A': relativedelta(years = 1),
'H': relativedelta(months = 6),
'Q': relativedelta(months = 3),
'FQ': relativedelta(months = 3),
'M': relativedelta(months = 1),
'W': timedelta(days = 7),
... | |
14,049 | [
-0.03733460232615471,
-0.008194203488528728,
0.028633370995521545,
-0.03460865095257759,
-0.015843216329813004,
0.02350858598947525,
-0.04226311668753624,
-0.0419360026717186,
-0.017664151266217232,
0.013084555976092815,
0.00774714769795537,
-0.015886832028627396,
-0.003055789042264223,
0.... | 16 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "date_point", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "freq", "annotati... | class TimeFormat(object):
@staticmethod
def format_statistical(date_point, freq):
return {
'FQ': lambda d: '{}FQ{}'.format(d.year, (d.month - 1) // 3 + 1),
'W': lambda d: TimeFormat.format_weekly(d)
}.get(freq, date_point)(date_point)
@staticmethod
def f... | |
14,050 | [
0.03633124381303787,
0.03324957564473152,
0.032137393951416016,
-0.03083985112607479,
-0.017354656010866165,
0.02300824224948883,
-0.022776538506150246,
-0.01645101048052311,
-0.05760170519351959,
-0.012465694919228554,
0.017887577414512634,
-0.058899249881505966,
-0.0087236687541008,
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}}, {"_type": "arg", "_fields": {"arg": "client", "annotation":... | class DimensionMetadataReader:
def __init__(self, client, dataset, dimension):
self.client = client
self.dataset = dataset
self.dimension = dimension
def get(self):
dim_info = self.client.get_dimension(self.dataset, self.dimension)
view_model = view_definition.... | |
14,051 | [
0.010736843571066856,
0.018266255035996437,
0.01928173564374447,
-0.02230340801179409,
-0.007368421647697687,
-0.0033715174067765474,
-0.008835914544761181,
-0.02717028185725212,
-0.044631581753492355,
0.013263159431517124,
0.04079257324337959,
-0.020371519029140472,
0.017238391563296318,
... | 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 get(self):
dim_info = self.client.get_dimension(self.dataset, self.dimension)
view_model = view_definition.Dimension()
view_model.key = dim_info.key
view_model.id = dim_info.id
view_model.name = dim_info.name
view_model.isGeo = dim_info.is_geo
view_mode... | |
14,052 | [
-0.010532498359680176,
-0.02359474077820778,
0.019678501412272453,
-0.00633652601391077,
0.0112683130428195,
-0.014971714466810226,
0.006445986218750477,
0.05239491909742355,
0.006804772187024355,
0.031792089343070984,
-0.0007821838953532279,
-0.012119670398533344,
-0.04278675094246864,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "uri", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "method", "annotation": null, "type_comment": null}}, {"_type": "ar... | def new_request(uri, method='GET', body=None, headers=None,
redirections=httplib2.DEFAULT_MAX_REDIRECTS,
connection_type=None):
if not self.access_token:
logger.info('Attempting refresh to obtain initial access_token')
self._refresh(request_orig)
# Mo... | |
14,053 | [
-0.00014969999028835446,
0.00893322378396988,
-0.01282974798232317,
-0.030906518921256065,
0.03655204921960831,
-0.010178561322391033,
0.0005797739722765982,
-0.0034398999996483326,
0.03168139606714249,
0.0037083395291119814,
0.019084110856056213,
-0.05216028541326523,
0.018774161115288734,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "s", "annotation": null, "type_comment": null}}], "kwarg": null, "v... | def from_json(cls, s):
data = simplejson.loads(s)
retval = SignedJwtAssertionCredentials(
data['service_account_name'],
base64.b64decode(data['private_key']),
data['scope'],
private_key_password=data['private_key_password'],
user_agent=data['user_agent'],
... | |
14,054 | [
-0.01663355901837349,
-0.058451637625694275,
0.04244702309370041,
-0.0234984140843153,
-0.013890293426811695,
-0.052911579608917236,
0.013201131485402584,
0.04648832231760025,
0.03717459738254547,
-0.015536252409219742,
0.027258696034550667,
0.024997174739837646,
-0.01827951893210411,
-0.0... | 14 | {"_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 WalletGroupTest(BitcoinTestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 5
self.extra_args = [
[],
[],
["-avoidpartialspends"],
["-maxapsfee=0.00002719"],
["-maxapsfee=0.00002720"],
... | |
14,055 | [
-0.011249950155615807,
-0.06009136885404587,
0.03840239718556404,
-0.02618345245718956,
-0.013888913206756115,
-0.047253914177417755,
0.015558880753815174,
0.04766625538468361,
0.041811056435108185,
-0.011346163228154182,
0.0349387601017952,
0.03928204998373985,
-0.030980316922068596,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def run_test(self):
self.log.info("Setting up")
# Mine some coins
self.generate(self.nodes[0], COINBASE_MATURITY + 1)
# Get some addresses from the two nodes
addr1 = [self.nodes[1].getnewaddress() for _ in range(3)]
addr2 = [self.nodes[2].getnewaddress() for _ in range(3... | |
14,056 | [
0.009767545387148857,
-0.012980618514120579,
0.011391356587409973,
-0.026119176298379898,
-0.013168171048164368,
0.01254628598690033,
0.02236812189221382,
0.0051330202259123325,
-0.048210904002189636,
0.05970097333192825,
0.01194414310157299,
-0.0168599970638752,
0.007082580588757992,
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 __init__(self):
super(InstallCommand, self).__init__()
self.parser.add_option(
'-e', '--editable',
dest='editables',
action='append',
default=[],
metavar='VCS+REPOS_URL[@REV]#egg=PACKAGE',
help='Install a package directly from a... | |
14,057 | [
0.05082443356513977,
-0.0020326408557593822,
0.03552775830030441,
-0.042548079043626785,
-0.030750352889299393,
0.0026410312857478857,
0.02749812602996826,
0.03756881132721901,
0.0018518059514462948,
0.02420104295015335,
0.05091414973139763,
-0.04192006587982178,
0.0304139144718647,
-0.047... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "product", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs":... | def test_server_start_config(product):
(check_args,
target_browser_cls, get_browser_kwargs,
executor_classes, get_executor_kwargs,
env_options, get_env_extras, run_info_extras) = products.load_product({}, product)
env_extras = get_env_extras()
with mock.patch.object(environment.serve, "star... | |
14,058 | [
-0.00024727542768232524,
0.017049141228199005,
0.04976382479071617,
-0.05465787649154663,
0.01893586665391922,
0.018181176856160164,
0.0002905128931161016,
-0.030553525313735008,
-0.01851278357207775,
0.013504383154213428,
-0.01915312558412552,
-0.0358363576233387,
0.03473862633109093,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "1.0"}}, "targets": [{"_type": "Name", "_fields": {"id": "VERSION", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {... | class HVSpec(base.NovaObject,
base.NovaObjectDictCompat):
# Version 1.0: Initial version
VERSION = '1.0'
fields = {
'arch': fields.ArchitectureField(),
'hv_type': fields.HVTypeField(),
'vm_mode': fields.VMModeField(),
}
# NOTE(pmurray): for backward compati... | |
14,059 | [
0.014644602313637733,
0.04956286400556564,
0.02003580890595913,
0.01654738187789917,
-0.01640014350414276,
0.0410456620156765,
0.008217060938477516,
-0.007412909995764494,
0.01830292120575905,
0.04702582210302353,
0.015244884416460991,
-0.007458214182406664,
0.005125044845044613,
0.0266842... | 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": "statePath", "annotation": null, "type_comment": null}}, {"_type":... | def __init__(self, statePath, server, reactor, shutdownMustSucceed=True):
if _ShutdownHandler.handlerRegistered:
raise AssertionError('Handler already registered, aborting.')
self._server = server
self._reactor = reactor
self._runningMarkerFile = join(statePath, 'running.mar... | |
14,060 | [
0.00019677795353345573,
0.05198238417506218,
-0.010194425471127033,
-0.006428916938602924,
-0.03597897291183472,
0.046380043029785156,
0.01575084589421749,
0.01976891979575157,
0.004408400040119886,
0.02324742265045643,
0.01505055371671915,
0.01304151676595211,
-0.0069053457118570805,
0.03... | 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 _register(self):
self._previouslyRegisteredHandlers = {}
for signalnum in SHUTDOWN_SIGNALS:
self._previouslyRegisteredHandlers[signalnum] = signal(signalnum, self._handleShutdown)
with open(self._runningMarkerFile, 'w') as fp:
fp.write("written by registerShutdownHand... | |
14,061 | [
0.03619387745857239,
0.06171814724802971,
-0.02167263627052307,
-0.02393762767314911,
-0.01461322046816349,
0.05527959391474724,
-0.002641532104462385,
0.062316011637449265,
0.03292860835790634,
0.009347401559352875,
0.06512138247489929,
0.004995628725737333,
-0.01023845188319683,
0.021960... | 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": "signum", "annotation": null, "type_comment": null}}, {"_type": "a... | def _deferredHandleShutdown(self, signum, frame):
assert isfile(self._runningMarkerFile)
consume(self._server.once.handleShutdown())
remove(self._runningMarkerFile)
print('Shutdown completed.')
sys.stdout.flush()
previousHandler = self._previouslyRegisteredHandlers[signu... | |
14,062 | [
0.002836252562701702,
-0.05342147871851921,
0.0055196708999574184,
-0.02950878255069256,
0.009269990026950836,
0.011345010250806808,
0.007729890290647745,
-0.03228331357240677,
0.017446627840399742,
0.03762076050043106,
0.037079960107803345,
-0.018528223037719727,
0.005939965136349201,
0.0... | 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_chisquare():
# Test replacement for scipy.stats.chisquare against the original.
obs = np.array([[2., 2.],
[1., 1.]])
exp = np.array([[1.5, 1.5],
[1.5, 1.5]])
# call SciPy first because our version overwrites obs
chi_scp, p_scp = scipy.stats.chisquare(... | |
14,063 | [
0.02228347770869732,
-0.03105962835252285,
0.003136059269309044,
-0.03363589197397232,
-0.0010202726116403937,
-0.004159341566264629,
-0.008348779752850533,
0.01608359068632126,
-0.014386145398020744,
0.045457810163497925,
0.009775355458259583,
-0.026822034269571304,
0.005429415497928858,
... | 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_chi2():
# Test Chi2 feature extraction
chi2 = mkchi2(k=1).fit(X, y)
chi2 = mkchi2(k=1).fit(X, y)
assert_equal(chi2.get_support(indices=True), [0])
assert_equal(chi2.transform(X), np.array(X)[:, [0]])
chi2 = mkchi2(k=2).fit(X, y)
assert_equal(sorted(chi2.get_support(indices=True)),... | |
14,064 | [
0.016868585720658302,
0.05013303831219673,
0.04674937203526497,
0.0053118630312383175,
-0.07001209259033203,
0.043838419020175934,
-0.027467431500554085,
0.021857010200619698,
0.06160268187522888,
0.00036542382440529764,
0.0687183365225792,
-0.06443899124860764,
0.04152458533644676,
0.0134... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "remove.period.from.vat.commitment"}}, "targets": [{"_type": "Name", "_fields": {"id": "_name", "ctx": {"_type": "Store", "_fields": {}}}}... | class RemovePeriod(orm.TransientModel):
_name = 'remove.period.from.vat.commitment'
def _get_period_ids(self, cr, uid, context=None):
commitment_obj = self.pool['account.vat.communication']
res = []
if 'active_id' in context:
commitment = commitment_obj.browse(
... | |
14,065 | [
0.0031742583960294724,
0.02460424229502678,
0.07625400274991989,
0.013929639011621475,
-0.038557812571525574,
0.024125559255480766,
-0.0209423266351223,
0.04580984264612198,
0.04968716576695442,
0.014719463884830475,
0.05351661890745163,
-0.061031922698020935,
0.02144494280219078,
-0.00581... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def _get_period_ids(self, cr, uid, context=None):
commitment_obj = self.pool['account.vat.communication']
res = []
if 'active_id' in context:
commitment = commitment_obj.browse(
cr, uid, context['active_id'], context)
for period in commitment.period_ids:
... | |
14,066 | [
0.017062146216630936,
0.05552859976887703,
0.04145488515496254,
0.020433707162737846,
-0.02205563336610794,
0.02432888373732567,
0.007183725479990244,
0.04944957047700882,
0.05588619038462639,
0.011462032794952393,
0.07386785000562668,
-0.05987076461315155,
0.018007203936576843,
0.03404766... | 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 remove_period(self, cr, uid, ids, context=None):
if 'active_id' not in context:
raise orm.except_orm(_('Error'), _('Current commitment not found'))
self.pool['account.period'].write(
cr, uid, [int(self.browse(cr, uid, ids, context)[0].period_id)],
{'vat_commitment... | |
14,067 | [
0.01591649278998375,
0.005110230762511492,
0.037944745272397995,
-0.015689730644226074,
0.027902454137802124,
-0.008055429905653,
-0.011068116873502731,
0.05774857476353645,
0.0004953657044097781,
-0.03094753623008728,
0.006689461879432201,
-0.027600103989243507,
0.0038360473699867725,
-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": "client_key", "annotati... | class PQAuthClient(object):
def __init__(self, client_key, server_key):
self.client_key = client_key
self.server_key = server_key
self.server_key_fprint = crypto.public_key_fingerprint(self.server_key)
self.client_key_fprint = crypto.public_key_fingerprint(self.client_key)
... | |
14,068 | [
-0.002344708424061537,
-0.03478123992681503,
0.053157929331064224,
-0.01684156060218811,
-0.0048883105628192425,
-0.0012017680564895272,
-0.04087692126631737,
0.02248903177678585,
-0.001235384028404951,
0.021749481558799744,
0.0044176881201565266,
-0.036977481096982956,
0.0048294831067323685... | 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 process_hello_response(self, response):
# Check the server send back the client_guid we sent.
if response["client_guid"] != self.client_guid:
message = ("Server did not send back the expected client_guid. "
"Expected: %s, Got: %s" %
(self.cli... | |
14,069 | [
0.002953426679596305,
-0.0012963885674253106,
-0.001210490707308054,
-0.010390602983534336,
0.0011014429619535804,
-0.04807359725236893,
-0.03271188214421272,
0.024075787514448166,
0.04339490085840225,
0.03824833780527115,
-0.02091766893863678,
-0.0005488938768394291,
-0.01776929572224617,
... | 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": "number", "annotation": null, "type_comment": null}}, {"_type": "a... | def convert_float(self, number, size):
text = str(int(round(number * 100, 0)))
if len(text) > size:
raise Log(_('Error:\n\nCan not convert float number %(number).2f '
'to fit in %(size)d characters.') % {
'number': number,
'size': size
... | |
14,070 | [
0.015397020615637302,
0.019552499055862427,
0.004327192436903715,
-0.024795498698949814,
0.002107789274305105,
-0.02162451483309269,
-0.04208137467503548,
-0.020216459408402443,
0.04812570661306381,
0.014103441499173641,
0.015774792060256004,
-0.003703298280015588,
-0.031343527138233185,
-... | 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": "value", "annotation": null, "type_comment": null}}, {"_type": "ar... | def convert(self, value, size, justified='left'):
if not value:
return self.convert_text('', size)
elif isinstance(value, float):
return self.convert_float(value, size)
elif isinstance(value, int):
return self.convert_int(value, size)
else:
... | |
14,071 | [
0.02846149541437626,
0.011077229864895344,
0.012933414429426193,
-0.00989466067403555,
-0.01201530173420906,
-0.04071630537509918,
-0.01833231747150421,
0.026665188372135162,
0.06023618206381798,
0.022473804652690887,
-0.025966623798012733,
-0.01536840945482254,
-0.00888174306601286,
0.016... | 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": "number", "annotation": null, "type_comment": null}}, {"_type": "a... | def convert_int(self, number, size):
text = str(number)
if len(text) > size:
raise Log(_('Error:\n\nCan not convert integer number %(number)d '
'to fit in %(size)d characters.') % {
'number': number,
'size': size
})
... | |
14,072 | [
0.03445735573768616,
-0.002982567297294736,
0.04613981395959854,
0.007853209041059017,
0.004501876886934042,
-0.025087786838412285,
0.014538171701133251,
0.046446625143289566,
0.05470695346593857,
0.027141068130731583,
-0.0011793088633567095,
-0.07004755735397339,
0.021170033141970634,
-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": "value", "annotation": null, "type_comment": null}}, {"_type": "ar... | def bank_account_parts(self, value, partner_name):
if not isinstance(value, basestring):
raise Log(_('User error:\n\nThe bank account number of %s is not '
'defined.') % partner_name)
ccc = self.digits_only(value)
if len(ccc) != 20:
raise Log(_('Us... | |
14,073 | [
0.044247105717659,
-0.010464286431670189,
0.028898753225803375,
0.003645233577117324,
-0.0006862220470793545,
-0.018988102674484253,
0.026706131175160408,
0.05806061998009682,
0.07007618993520737,
0.02576330490410328,
0.0035986402072012424,
-0.06424381583929062,
-0.007252096198499203,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}, {"_type": "ar... | def convert_bank_account(self, value, partner_name):
if not isinstance(value, basestring):
raise Log(_('User error:\n\nThe bank account number of %s is not '
'defined.') % partner_name)
ccc = self.digits_only(value)
if len(ccc) != 20:
raise Log(_('... | |
14,074 | [
0.03595549240708351,
0.019337210804224014,
0.04654994234442711,
-0.012516450136899948,
-0.028478438034653664,
0.016208099201321602,
0.013489169999957085,
0.028126852586865425,
-0.028876902535557747,
0.0459170863032341,
0.03911976516246796,
-0.016594843938946724,
-0.003342993790283799,
-0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "clean up temporary files from 'build' command"}}, "targets": [{"_type": "Name", "_fields": {"id": "description", "ctx": {"_type": "Store"... | class clean(Command):
description = "clean up temporary files from 'build' command"
user_options = [
('build-base=', 'b',
"base build directory (default: 'build.build-base')"),
('build-lib=', None,
"build directory for all modules (default: 'build.build-lib')"),
('buil... | |
14,075 | [
0.03212011978030205,
0.033251725137233734,
0.030966756865382195,
-0.042348071932792664,
0.014482344500720501,
-0.010570697486400604,
-0.036298349499702454,
-0.01841031387448311,
0.002312169875949621,
-0.01989010162651539,
-0.04245688021183014,
-0.04509003460407257,
0.061019524931907654,
-0... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "cash.flow.template"}}, "targets": [{"_type": "Name", "_fields": {"id": "_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_commen... | class CashFlowTemplate(models.Model):
_name = 'cash.flow.template'
_order = 'sequence'
sequence = fields.Integer(u'序号')
name = fields.Char(u'项目')
line_num = fields.Char(u'行次')
line_type = fields.Selection(LINE_TYPES, u'行类型')
# for type sum
category_ids = fields.Many2many(
'core.... | |
14,076 | [
-0.028396207839250565,
0.022077614441514015,
0.06553354859352112,
-0.06408502161502838,
-0.008123013190925121,
-0.03988455981016159,
-0.02572391740977764,
0.0027862372808158398,
-0.03955988585948944,
0.06443466246128082,
0.02559904381632805,
-0.020291924476623535,
0.006505903322249651,
0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "argv", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load... | def main(argv=sys.argv):
unix_success = 0
unix_error = 1
################ get user parameters
if len(argv) < 2 : # print selfdoc and exit if no parameters
rsfprog.selfdoc()
return unix_error
par = rsf.Par(argv) # get parameters
levels = par.int('lev... | |
14,077 | [
0.05058003216981888,
0.023442605510354042,
0.05769428238272667,
-0.047229450196027756,
-0.021939432248473167,
0.0040161097422242165,
0.01555955596268177,
0.020723124966025352,
-0.02873239479959011,
0.025037575513124466,
0.013769518584012985,
-0.00938048493117094,
-0.004050533287227154,
-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 run(self):
# remove the build/temp.<plat> directory (unless it's already
# gone)
if os.path.exists(self.build_temp):
remove_tree(self.build_temp, dry_run=self.dry_run)
else:
log.debug("'%s' does not exist -- can't clean it",
self.build_te... | |
14,078 | [
0.0012425616150721908,
0.00039335532346740365,
0.039212990552186966,
-0.05400935932993889,
-0.012750757858157158,
0.0028347724582999945,
-0.01412974763661623,
-0.043264999985694885,
0.0012964794877916574,
0.07011283189058304,
0.010326087474822998,
-0.04099064692854881,
0.007489681243896484,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "argv", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def main(argv):
if len(argv) > 1:
raise app.UsageError("Too many command-line arguments.")
assert FLAGS.min_frequency < 100, "--min_frequency higher than 100."
assert FLAGS.max_frequency > 15250, "--max_frequency lower than 15250."
save_directory = os.path.join(
os.path.dirname(os.path.realpath(__fi... | |
14,079 | [
-0.011829599738121033,
0.03636433556675911,
0.08889645338058472,
-0.019827911630272865,
-0.007366345264017582,
-0.021499985828995705,
0.022566426545381546,
-0.03862887993454933,
-0.0011347397230565548,
-0.00385762145742774,
0.024528153240680695,
-0.007438757922500372,
0.02883341535925865,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "tmpdir", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "testdata", "annotation": null, "type_comment": null}}], "kwarg"... | def test_geocode(tmpdir, testdata):
scene = testdata['s1']
geocode(scene, str(tmpdir), test=True)
xmlfile = finder(str(tmpdir), ['*.xml'])[0]
tree = Workflow(xmlfile)
assert is_consistent(tree) is True
groups = groupbyWorkers(xmlfile, 2)
assert len(groups) == 4
groups2 = groupbyWorkers(x... | |
14,080 | [
-0.031727660447359085,
0.009530027396976948,
0.09688372910022736,
-0.03439606726169586,
-0.027534449473023415,
0.015379998832941055,
0.003698383690789342,
-0.026244230568408966,
-0.005886624567210674,
-0.0076460144482553005,
0.028575420379638672,
-0.011047501116991043,
0.017095403745770454,
... | 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": "tmpdir", "annotation":... | class Test_geocode_opts():
def test_infile_type(self, tmpdir, testdata):
scene = testdata['s1']
with pytest.raises(TypeError):
geocode(infile=123, outdir=str(tmpdir), test=True)
id = identify(scene)
geocode(infile=id, outdir=str(tmpdir), test=True)
def test_pol(s... | |
14,081 | [
-0.028560256585478783,
-0.010962522588670254,
0.10654802620410919,
0.01745348982512951,
-0.00959220714867115,
-0.009616248309612274,
0.02099948190152645,
-0.0024897067341953516,
-0.005998134613037109,
-0.013138198293745518,
0.017922282218933105,
0.01728520542383194,
0.02646872214972973,
-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": "tmpdir", "annotation": null, "type_comment": null}}, {"_type": "a... | def test_shp(self, tmpdir, testdata):
scene = testdata['s1']
ext = {'xmin': 12, 'xmax': 13, 'ymin': 53, 'ymax': 54}
with bbox(ext, 4326) as new:
with pytest.raises(RuntimeError):
geocode(scene, str(tmpdir), shapefile=new, test=True)
with identify(scen... | |
14,082 | [
0.013612509705126286,
-0.028281277045607567,
0.03200457990169525,
-0.060417890548706055,
0.011420777067542076,
0.025125708431005478,
0.0014548287726938725,
-0.008450054563581944,
0.01464235968887806,
-0.014523531310260296,
0.05051548406481743,
-0.06992419809103012,
-0.01315699890255928,
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_basic(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
f2 = Foo(value='f2')
s1.add_all((f1, f2))
s1.commit()
f1.value = 'f1rev2'
s1.commit()
s2 = create_session(autocommit=False)
f1_s = s2.query(Foo).get(f... | |
14,083 | [
0.0422709621489048,
-0.013181691989302635,
0.037582967430353165,
-0.027048148214817047,
-0.013708433136343956,
0.025375746190547943,
-0.0021020255517214537,
0.0037365686148405075,
0.04701162874698639,
-0.002371980343014002,
0.025783969089388847,
-0.05325350910425186,
-0.03136742487549782,
... | 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_notsane_warning(self):
Foo = self.classes.Foo
save = testing.db.dialect.supports_sane_rowcount
testing.db.dialect.supports_sane_rowcount = False
try:
s1 = self._fixture()
f1 = Foo(value='f1')
f2 = Foo(value='f2')
s1.add_all((f1, f... | |
14,084 | [
0.03170093148946762,
0.01434442400932312,
0.0675002709031105,
-0.005070543847978115,
0.003885462647303939,
0.016060322523117065,
0.021220365539193153,
-0.018874891102313995,
-0.021183332428336143,
-0.00015276441990863532,
-0.011295308358967304,
-0.02910856530070305,
0.01540606003254652,
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_update_multi_missing_broken_multi_rowcount(self):
@util.memoized_property
def rowcount(self):
if len(self.context.compiled_parameters) > 1:
return -1
else:
return self.context.rowcount
with patch.object(
config.db.... | |
14,085 | [
0.024206439033150673,
-0.026116525754332542,
-0.00888970959931612,
-0.06121886521577835,
0.038778357207775116,
-0.009544424712657928,
0.013310538604855537,
-0.006769394036382437,
0.008006745018064976,
-0.001558702439069748,
0.03356466069817543,
-0.03358868882060051,
-0.044184260070323944,
... | 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_merge_no_version(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3')
f3 = s1.merge(f2)
assert f3 is f1
s1.commit()
... | |
14,086 | [
0.020882291719317436,
-0.026359034702181816,
-0.002258420456200838,
-0.0477006658911705,
0.0461459755897522,
0.009163239039480686,
0.017078015953302383,
0.004908457398414612,
0.01408641878515482,
0.0008737760945223272,
0.03260134160518646,
-0.035993389785289764,
-0.056157227605581284,
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_merge_correct_version(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3', version_id=2)
f3 = s1.merge(f2)
assert f3 is f1
... | |
14,087 | [
0.02545691281557083,
-0.02169130928814411,
0.014448842965066433,
-0.022762039676308632,
0.046053431928157806,
-0.0023144013248384,
0.011056192219257355,
-0.015026315115392208,
0.015315051190555096,
0.00042934477096423507,
0.03801693767309189,
-0.051780033856630325,
-0.041217099875211716,
0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_merge_incorrect_version(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3', version_id=1)
assert_raises_message(
orm_exc.S... | |
14,088 | [
0.021299082785844803,
-0.019878340885043144,
0.007928459905087948,
-0.024947257712483406,
0.0591413751244545,
0.003654195461422205,
0.01677197404205799,
-0.009373282082378864,
0.014592701569199562,
-0.0058364784345030785,
0.05350657179951668,
-0.05692598223686218,
-0.03807105869054794,
0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def test_merge_incorrect_version_not_in_session(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f2'
s1.commit()
f2 = Foo(id=f1.id, value='f3', version_id=1)
s1.close()
assert_ra... | |
14,089 | [
0.0055072735995054245,
0.015161048620939255,
0.08072199672460556,
-0.04554733261466026,
0.009018320590257645,
0.027446504682302475,
0.01668870821595192,
-0.03476386144757271,
-0.02495603635907173,
0.0002721944183576852,
0.005253733601421118,
-0.035816535353660583,
0.006081750150769949,
0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "__backend__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}... | class NoBumpOnRelationshipTest(fixtures.MappedTest):
__backend__ = True
@classmethod
def define_tables(cls, metadata):
Table(
'a', metadata,
Column(
'id', Integer, primary_key=True,
test_needs_autoincrement=True),
Column('version_i... | |
14,090 | [
0.015893572941422462,
-0.029552506282925606,
0.046475522220134735,
-0.06929899752140045,
0.004616794176399708,
0.014977119863033295,
0.030155105516314507,
0.0005080513656139374,
0.008059774525463581,
0.0031275565270334482,
0.004312356002628803,
-0.04868505522608757,
0.0032829144038259983,
... | 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": "auto_version_counter", "annotation": null, "type_comment": null}}... | def _run_test(self, auto_version_counter=True):
A, B = self.classes('A', 'B')
s = Session()
if auto_version_counter:
a1 = A()
else:
a1 = A(version_id=1)
s.add(a1)
s.commit()
eq_(a1.version_id, 1)
b1 = B()
b1.a = a1
... | |
14,091 | [
0.013179797679185867,
0.02883080765604973,
0.08829573541879654,
-0.037335339933633804,
0.02756180614233017,
0.052763715386390686,
0.04154307767748833,
-0.041587602347135544,
-0.04572855308651924,
0.010474822483956814,
0.0034702718257904053,
-0.040185023099184036,
0.03960618004202843,
-0.01... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "metadata", "annotation": null, "type_comment": null}}], "kwarg": n... | def define_tables(cls, metadata):
Table(
'a', metadata,
Column(
'id', Integer, primary_key=True,
test_needs_autoincrement=True),
Column('version_id', Integer)
)
Table(
'b', metadata,
Column(
... | |
14,092 | [
0.023460976779460907,
-0.013888396322727203,
0.055804502218961716,
-0.042806871235370636,
-0.008650450967252254,
-0.0018615092849358916,
0.016585780307650566,
0.004773743916302919,
0.004667103290557861,
-0.013436741195619106,
-0.01082090474665165,
-0.06162583827972412,
0.0445382185280323,
... | 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_functional_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
version_id_generator=lambda num: (num or ... | |
14,093 | [
0.012467119842767715,
-0.03393930196762085,
0.05608655512332916,
-0.03572297468781471,
-0.006239753216505051,
0.0024463548325002193,
0.022444531321525574,
-0.016003496944904327,
0.0034589599817991257,
-0.013885386288166046,
-0.004877226427197456,
-0.04476519674062729,
0.04999234527349472,
... | 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_plain_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
)
mapper(B, b)
self._run_test() | |
14,094 | [
0.001519100391305983,
0.03731226176023483,
0.0660158023238182,
-0.06662403047084808,
0.026621539145708084,
0.023709077388048172,
0.024516144767403603,
-0.028843900188803673,
-0.0550677552819252,
0.007134946994483471,
-0.000862626766320318,
-0.02094867266714573,
0.015965905040502548,
0.0375... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "__backend__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}... | class ColumnTypeTest(fixtures.MappedTest):
__backend__ = True
@classmethod
def define_tables(cls, metadata):
class SpecialType(TypeDecorator):
impl = Date
def process_bind_param(self, value, dialect):
assert isinstance(value, datetime.date)
r... | |
14,095 | [
0.020356858149170876,
-0.023121988400816917,
0.05635359138250351,
-0.04068869352340698,
-0.016778456047177315,
-0.002314701210707426,
0.026850534602999687,
-0.011667345650494099,
-0.003406364470720291,
-0.01782945543527603,
-0.01943097822368145,
-0.05440173298120499,
0.051699165254831314,
... | 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_no_counter(self):
A, B = self.classes('A', 'B')
a, b = self.tables('a', 'b')
mapper(
A, a, properties={
'bs': relationship(B, backref='a')
},
version_id_col=a.c.version_id,
version_id_generator=False
)
mapp... | |
14,096 | [
0.00876203179359436,
0.06117894873023033,
0.08123180270195007,
-0.04560692980885506,
0.02486642450094223,
0.0440763495862484,
0.0400613397359848,
-0.0612676776945591,
-0.0659259706735611,
-0.0010294001549482346,
-0.007364543154835701,
-0.04742588475346565,
0.0396842397749424,
-0.0026299960... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "metadata", "annotation": null, "type_comment": null}}], "kwarg": n... | def define_tables(cls, metadata):
class SpecialType(TypeDecorator):
impl = Date
def process_bind_param(self, value, dialect):
assert isinstance(value, datetime.date)
return value
Table('version_table', metadata,
Column('id', Special... | |
14,097 | [
0.016949230805039406,
-0.022530371323227882,
0.04004861041903496,
-0.03324470669031143,
0.01674341969192028,
0.021658696234226227,
0.006165282800793648,
0.008946772664785385,
0.024540064856410027,
-0.028741052374243736,
0.027142982929944992,
-0.0280388705432415,
-0.03150135651230812,
-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 test_update(self):
Foo = self.classes.Foo
s1 = self._fixture()
f1 = Foo(id=datetime.date.today(), value='f1')
s1.add(f1)
s1.commit()
f1.value = 'f1rev2'
s1.commit() | |
14,098 | [
-0.005453191231936216,
0.016208002343773842,
0.0510895662009716,
-0.04087704047560692,
-0.0012698289938271046,
0.020546304062008858,
-0.01601938158273697,
-0.0023459838703274727,
-0.02410317212343216,
-0.03220043703913689,
0.008090528659522533,
-0.029936976730823517,
-0.011836018413305283,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "__backend__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}... | class RowSwitchTest(fixtures.MappedTest):
__backend__ = True
@classmethod
def define_tables(cls, metadata):
Table(
'p', metadata,
Column('id', String(10), primary_key=True),
Column('version_id', Integer, default=1, nullable=False),
Column('data', Stri... | |
14,099 | [
0.012098357081413269,
0.04298683628439903,
0.09053825587034225,
-0.0385773628950119,
0.030777689069509506,
0.04945702105760574,
0.04015059396624565,
-0.032151494175195694,
-0.04608897864818573,
-0.001161918742582202,
0.014303094707429409,
-0.029691938310861588,
0.04945702105760574,
-0.0202... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cls", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "metadata", "annotation": null, "type_comment": null}}], "kwarg": n... | def define_tables(cls, metadata):
Table(
'p', metadata,
Column('id', String(10), primary_key=True),
Column('version_id', Integer, default=1, nullable=False),
Column('data', String(50))
)
Table(
'c', metadata,
Column('id', St... | |
14,100 | [
-0.004394287709146738,
-0.00891896989196539,
0.03849239647388458,
-0.027461038902401924,
0.0047593917697668076,
-0.00021718800417147577,
-0.026965541765093803,
0.02361440844833851,
0.004583359695971012,
-0.07844521105289459,
0.030042847618460655,
-0.017251165583729744,
0.007171686738729477,
... | 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_row_switch(self):
P = self.classes.P
session = sessionmaker()()
session.add(P(id='P1', data='P version 1'))
session.commit()
session.close()
p = session.query(P).first()
session.delete(p)
session.add(P(id='P1', data="really a row-switch"))
... |