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 |
|---|---|---|---|---|---|
12,501 | [
0.038929589092731476,
-0.013665961101651192,
0.06456119567155838,
-0.047837208956480026,
0.012891937978565693,
-0.02243400178849697,
0.026139164343476295,
0.010055964812636375,
0.01924908347427845,
0.01680012419819832,
0.0035941351670771837,
-0.034057047218084335,
-0.020441841334104538,
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 test03(self):
app = Application(self.inst, "mgtest")
self.assertEqual(app.config.get("a.key1"), None)
self.assertEqual(app.config.get("a.key2"), "value2")
self.assertTrue("a" in app.config._config)
self.assertFalse("b" in app.config._config)
self.assertFalse("c" in ap... | |
12,502 | [
0.04578680545091629,
-0.002353658201172948,
0.0626896470785141,
-0.0646284967660904,
0.006257778964936733,
-0.012378843501210213,
0.03743481636047363,
0.025503400713205338,
0.0189411211758852,
0.011651773005723953,
0.026895398274064064,
-0.0431768074631691,
-0.02539154328405857,
0.00533185... | 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 test02(self):
app = Application(self.inst, "mgtest")
self.assertEqual(app.config.get("a.key1"), "value1")
app.config.set("a.key2", "value2")
app.config.delete("a.key1")
app.config.store()
self.assertEqual(app.config.get("a.key1"), None)
self.assertEqual(app.co... | |
12,503 | [
0.01869290880858898,
-0.018558524549007416,
0.06810615956783295,
0.014500107616186142,
-0.01474200002849102,
-0.04561016336083412,
0.01920357160270214,
0.022724449634552002,
0.0019636962097138166,
0.021703125908970833,
0.0026742552872747183,
-0.0065680514089763165,
-0.017631269991397858,
-... | 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 Bill():
otr=pd.read_csv('/media/james/ext4data1/current/projects/pfizer/outer_test_results.csv').set_index('subjects')
#Per subject accuracy
acc= otr['scores']*100
n= len(otr.index)
runs= 10000
distribution= []
for i in range(runs):
sample= np.random.choice(acc, n... | |
12,504 | [
-0.01969968155026436,
0.006501591298729181,
0.08392203599214554,
-0.05011933296918869,
0.0029392901342362165,
-0.016024263575673103,
-0.0013617492513731122,
0.041571203619241714,
-0.009564438834786415,
0.013636634685099125,
0.007796340622007847,
-0.06131264939904213,
-0.006212709005922079,
... | 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 test09(self):
app = Application(self.inst, "mgtest")
app.modules.load(["mg.test.testcore.TestJoin"])
self.assertEqual(app.hooks.call("join.empty"), None)
self.assertEqual(app.hooks.call("join.single"), "single")
self.assertEqual(app.hooks.call("join.prio1"), "prio2")
... | |
12,505 | [
0.024872053414583206,
-0.03463296219706535,
0.044602662324905396,
-0.021935949102044106,
-0.024467522278428078,
0.04264526069164276,
-0.049926795065402985,
-0.012455600313842297,
0.02810829132795334,
0.04092274606227875,
-0.016311682760715485,
-0.021126890555024147,
-0.01710769161581993,
-... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare",... | def test_legendre():
assert legendre(0, x) == 1
assert legendre(1, x) == x
assert legendre(2, x) == ((3*x**2-1)/2).expand()
assert legendre(3, x) == ((5*x**3-3*x)/2).expand()
assert legendre(4, x) == ((35*x**4-30*x**2+3)/8).expand()
assert legendre(5, x) == ((63*x**5-70*x**3+15*x)/8).expand()
... | |
12,506 | [
0.015421483665704727,
0.04209400713443756,
0.10036567598581314,
-0.019442984834313393,
-0.032149095088243484,
-0.02213544398546219,
0.026374632492661476,
-0.007808128837496042,
-0.03246989846229553,
0.05907367914915085,
0.01093596313148737,
0.018881579861044884,
-0.014779876917600632,
0.00... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def Main(args):
pwd = os.environ.get('PWD', '')
is_integration_bot = 'nacl-chrome' in pwd
# This environment variable check mimics what
# buildbot_chrome_nacl_stage.py does.
is_win64 = (sys.platform in ('win32', 'cygwin') and
('64' in os.environ.get('PROCESSOR_ARCHITECTURE', '') or
... | |
12,507 | [
0.04221566393971443,
0.0008752808789722621,
0.0308125838637352,
-0.019422980025410652,
-0.010291079059243202,
0.028116818517446518,
-0.003101813606917858,
-0.028602056205272675,
0.018304238095879555,
0.013135110028088093,
0.0009982751216739416,
-0.02405969426035881,
0.020150836557149887,
0... | 16 | {"_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": "Name", "_fields": {"i... | def test_assoc_legendre():
Plm=assoc_legendre
Q=(1-x**2)**Rational(1,2)
assert Plm(0, 0, x) == 1
assert Plm(1, 0, x) == x
assert Plm(1, 1, x) == -Q
assert Plm(2, 0, x) == (3*x**2-1)/2
assert Plm(2, 1, x) == -3*x*Q
assert Plm(2, 2, x) == 3*Q**2
assert Plm(3, 0, x) == (5*x**3-3*x... | |
12,508 | [
0.01928139291703701,
-0.05860237032175064,
0.022535784170031548,
0.024215469136834145,
0.015887027606368065,
0.032380610704422,
0.008672544732689857,
0.003260223427787423,
-0.004272117279469967,
0.03338375315070152,
0.03326711058616638,
-0.019059767946600914,
-0.03977589309215546,
-0.01136... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare",... | def test_chebyshev():
assert chebyshevt(0, x) == 1
assert chebyshevt(1, x) == x
assert chebyshevt(2, x) == 2*x**2-1
assert chebyshevt(3, x) == 4*x**3-3*x
for n in range(1, 4):
for k in range(n):
z = chebyshevt_root(n, k)
assert chebyshevt(n, z) == 0
for n in range... | |
12,509 | [
-0.033907871693372726,
0.01728336699306965,
-0.01623624563217163,
-0.03494322672486305,
-0.03588445857167244,
-0.043343719094991684,
-0.014765571802854538,
-0.0022780748549848795,
-0.004353196360170841,
0.027978111058473587,
0.02713100239634514,
-0.008400492370128632,
0.035860925912857056,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "log_file", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "regex", "annotation": null, "type_comment": null}}], "kwarg":... | def get_amount_list(log_file, regex):
log_list = file(log_file).readlines()
amount_list = []
for line in log_list:
m = re.search(regex, line)
try:
amount_list.append(m.group())
except:
# Example:
# 78.174.192.97 - - [03/Apr/2010:19:55:49 +0300]... | |
12,510 | [
0.009908324107527733,
-0.02611573226749897,
-0.005510146263986826,
-0.01535634882748127,
0.001433445606380701,
0.014461804181337357,
-0.040950264781713486,
-0.04785813391208649,
0.06063024327158928,
0.03108542412519455,
0.030986031517386436,
-0.028724821284413338,
-0.01658634841442108,
-0.... | 14 | {"_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_laguerre():
alpha = Symbol("alpha")
# generalized Laguerre polynomials:
assert laguerre_l(0, alpha, x) == 1
assert laguerre_l(1, alpha, x) == -x + alpha + 1
assert laguerre_l(2, alpha, x).expand() == (x**2/2 - (alpha+2)*x + (alpha+2)*(alpha+1)/2).expand()
assert laguerre_l(3, alpha, x)... | |
12,511 | [
0.01393149048089981,
0.00946103036403656,
-0.01991274394094944,
-0.05681571736931801,
-0.02506430074572563,
-0.0027150928508490324,
-0.004823391791433096,
0.016271980479359627,
-0.015491818077862263,
-0.01483548991382122,
0.04425879940390587,
-0.011052316054701805,
-0.006389910355210304,
-... | 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": "Constant", "_fields":... | def print_output():
regex_podcast = '(?<=oi_podcast_E)\w+.(mp3|ogg)'
regex_edergi = '(?<=oi_say)\w+_(buyuk|kucuk).pdf'
# podcasts
amount_list = get_amount_list(LOGPODCAST, regex_podcast)
for episode in range(1, COUNT_OF_PODCAST + 1):
if episode < 10: # dirty hacking
episode = "0... | |
12,512 | [
0.046275872737169266,
0.008589859120547771,
0.03237716108560562,
-0.04875941202044487,
-0.0036341713275760412,
-0.0037851203233003616,
0.022602494806051254,
0.002304110210388899,
0.00007405051292153075,
-0.020039208233356476,
0.00710315303876996,
0.00526328245177865,
0.008743656799197197,
... | 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": "input_lines", "annotation": null, "type_comment": null}}, {"_type... | def insert_input(self, input_lines, source):
self.input_lines.insert(self.line_offset + 1, '',
source='internal padding after '+source,
offset=len(input_lines))
self.input_lines.insert(self.line_offset + 1, '',
... | |
12,513 | [
0.06979983299970627,
-0.016689926385879517,
-0.043013788759708405,
-0.0499567985534668,
0.03284577280282974,
-0.03149003908038139,
-0.03132570534944534,
0.01038370095193386,
0.0074668158777058125,
0.03906983137130737,
0.03588590770959854,
-0.026744963601231575,
0.03444800525903702,
-0.0384... | 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": "i", "annotation": null, "type_comment": null}}], "kwarg": null, "... | def __getitem__(self, i):
if isinstance(i, slice):
assert i.step in (None, 1), 'cannot handle slice with stride'
return self.__class__(self.data[i.start:i.stop],
items=self.items[i.start:i.stop],
parent=self, parent_off... | |
12,514 | [
0.05017910897731781,
-0.01186092384159565,
-0.0625108852982521,
-0.029282357543706894,
-0.01326226256787777,
-0.03829576447606087,
0.009999947622418404,
-0.030089527368545532,
-0.010986489243805408,
0.03995494544506073,
0.07035837322473526,
-0.00043966976227238774,
0.012993205338716507,
-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": "i", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def __setitem__(self, i, item):
if isinstance(i, slice):
assert i.step in (None, 1), 'cannot handle slice with stride'
if not isinstance(item, ViewList):
raise TypeError('assigning non-ViewList to ViewList slice')
self.data[i.start:i.stop] = item.data
... | |
12,515 | [
0.053691960871219635,
0.01048671081662178,
0.0235762782394886,
-0.0074590095318853855,
-0.04332356154918671,
-0.017951099202036858,
-0.012820676900446415,
-0.024845438078045845,
-0.02027430757880211,
0.01354130171239376,
0.015122375451028347,
-0.0072976755909621716,
0.021532714366912842,
-... | 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": "item", "annotation": null, "type_comment": null}}, {"_type": "arg... | def append(self, item, source=None, offset=0):
if source is None:
self.extend(item)
else:
if self.parent:
self.parent.insert(len(self.data) + self.parent_offset, item,
source, offset)
self.data.append(item)
... | |
12,516 | [
0.09238100051879883,
0.022457392886281013,
-0.011944781057536602,
-0.04397604987025261,
-0.001452479395084083,
0.008791599422693253,
-0.0009725820273160934,
0.012131324969232082,
-0.01694534160196781,
0.03827144205570221,
0.057046107947826385,
-0.02038736455142498,
0.01143930945545435,
-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": "i", "annotation": null, "type_comment": null}}], "kwarg": null, "... | def __delitem__(self, i):
try:
del self.data[i]
del self.items[i]
if self.parent:
del self.parent[i + self.parent_offset]
except TypeError:
assert i.step is None, 'cannot handle slice with stride'
del self.data[i.start:i.stop]
... | |
12,517 | [
0.007611389271914959,
0.010182804428040981,
0.003015322843566537,
-0.0052159130573272705,
-0.003562086960300803,
-0.02431746944785118,
0.012039637193083763,
-0.036378759890794754,
-0.0010603704722598195,
0.04590653255581856,
0.04837508872151375,
0.015060373581945896,
0.005841172765940428,
... | 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": "top", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def get_2D_block(self, top, left, bottom, right, strip_indent=True):
block = self[top:bottom]
indent = right
for i in range(len(block.data)):
# get slice from line, care for combining characters
ci = utils.column_indices(block.data[i])
try:
lef... | |
12,518 | [
0.027539458125829697,
0.025056734681129456,
-0.0035910827573388815,
-0.04727606847882271,
-0.006806627381592989,
-0.03809624910354614,
0.00563828693702817,
-0.002198462374508381,
-0.06325729936361313,
-0.0034763349685817957,
0.036281149834394455,
0.008710396476089954,
0.024117888882756233,
... | 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": "i", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def insert(self, i, item, source=None, offset=0):
if source is None:
if not isinstance(item, ViewList):
raise TypeError('inserting non-ViewList with no source given')
self.data[i:i] = item.data
self.items[i:i] = item.items
if self.parent:
... | |
12,519 | [
0.011310231871902943,
-0.013098654337227345,
0.02075803652405739,
0.009484807029366493,
-0.007073519751429558,
-0.014603395946323872,
-0.004588229116052389,
0.0030156506691128016,
0.02033868245780468,
0.0491877906024456,
-0.012549793347716331,
-0.04546293616294861,
-0.06280446797609329,
-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": "response", "annotation": null, "type_comment": null}}], "kwarg": ... | def apply(self, response):
updated_headers = self.update_headers(response)
if updated_headers:
response.headers.update(updated_headers)
warning_header_value = self.warning(response)
if warning_header_value is not None:
response.headers.update({'Warnin... | |
12,520 | [
0.0450783334672451,
-0.014041537418961525,
0.011973932385444641,
0.007088931743055582,
-0.0014427793212234974,
0.012530595995485783,
0.015927376225590706,
-0.0344676598906517,
0.013712083920836449,
0.06348229199647903,
-0.0008633955148980021,
-0.05907443165779114,
0.0031894512940198183,
-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": "A", "annotation": null, "type_comment": null}}], "kwarg": null, "var... | def solution(X, A):
path = [None] * (X + 1)
leaves_cnt = 0
for i, a in enumerate(A):
if path[a] is None:
path[a] = i
leaves_cnt += 1
if leaves_cnt == X:
return i
return -1 | |
12,521 | [
-0.0011692752595990896,
-0.03224281594157219,
0.018140526488423347,
-0.0345984548330307,
0.004337952006608248,
0.00820793118327856,
-0.0004761888412758708,
0.004911087453365326,
0.021558307111263275,
-0.018855631351470947,
0.006635752040892839,
-0.05068831145763397,
-0.056535348296165466,
... | 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}}], "kwarg": ... | def update_headers(self, response):
headers = {}
if 'expires' not in response.headers:
date = parsedate(response.headers['date'])
expires = expire_after(timedelta(days=1),
date=datetime(*date[:6]))
headers['expires'] = datetime_to_h... | |
12,522 | [
0.015991266816854477,
0.00606753071770072,
0.025773389264941216,
-0.021198231726884842,
-0.013921552337706089,
0.03361651673913002,
-0.00992373563349247,
-0.02596946805715561,
0.028235260397195816,
0.0066503188572824,
0.01057188306003809,
-0.04993458092212677,
-0.04666661098599434,
-0.0126... | 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 update_headers(self, resp):
headers = resp.headers
if 'expires' in headers:
return {}
if 'cache-control' in headers and headers['cache-control'] != 'public':
return {}
if resp.status not in self.cacheable_by_default_statuses:
return {}
... | |
12,523 | [
0.007557687349617481,
-0.011087194085121155,
-0.014217761345207691,
-0.015403497964143753,
0.01459453720599413,
-0.011170306243002415,
-0.009762936271727085,
0.04583371803164482,
0.03933987021446228,
0.041955139487981796,
0.042597874999046326,
0.0011109357001259923,
0.006516012363135815,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "method", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": ... | def auth(method):
@functools.wraps(method)
def wrapper(*args, **kwargs):
if 'authed' in flask.session:
return method(*args, **kwargs)
else:
return flask.redirect('/')
return wrapper | |
12,524 | [
0.0018977074651047587,
0.000431395776104182,
0.038162436336278915,
0.004264056216925383,
-0.04906268045306206,
0.01567922905087471,
0.01946307346224785,
-0.006919689476490021,
-0.009540609084069729,
0.04612354934215546,
-0.02846561186015606,
-0.0468178316950798,
-0.021777350455522537,
0.05... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "min", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "max", "annotation": null, "type_comment": null}}], "kwarg": null, ... | def gen_word(min, max):
# gen_word(2, 3)
vowels = list('aeiou')
word = ''
syllables = min + int(random.random() * (max - min))
def word_part(type):
if type is 'c':
return random.sample([ch for ch in list(string.lowercase) if ch not in vowels], 1)[0]
if type is 'v':
... | |
12,525 | [
0.0708971694111824,
-0.018307622522115707,
-0.04336842522025108,
0.009019196964800358,
-0.01607525907456875,
0.035560764372348785,
0.008329295553267002,
0.0038645686581730843,
-0.003227952402085066,
0.07596766203641891,
0.05743568018078804,
0.00678122416138649,
0.009720315225422382,
0.0557... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "id", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}... | def validate(id):
try:
id_encoded = id.encode('utf-8')
if not re.match(r'^[A-Za-z0-9]+', id):
return False
if sys.getsizeof(id_encoded) < 1 or sys.getsizeof(id_encoded) > 50:
return False
return True
except:
return False | |
12,526 | [
0.007271943148225546,
-0.03230820223689079,
0.08331569284200668,
-0.017829246819019318,
0.008440648205578327,
-0.028905972838401794,
0.0000033256610549869947,
0.002877936465665698,
-0.0019527114927768707,
0.014725684188306332,
-0.04482633247971535,
-0.03350288048386574,
0.06446058303117752,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "os"}}, {"_type": "Constant", "_fields": {"kind": null, "... | class HelloReuseConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
requires = "Hello/0.1@%s/%s" % (username, channel)
generators = "cmake"
def build(self):
cmake = CMake(self)
cmake.configure()
cmake.build()
def test(self):
# equal to ./bin/greet, but portab... | |
12,527 | [
0.021906977519392967,
0.009783699177205563,
0.059015631675720215,
-0.05077672749757767,
0.018089767545461655,
0.01744050718843937,
0.010376989841461182,
-0.026821216568350792,
0.004975805524736643,
0.026171954348683357,
-0.011451628990471363,
-0.017977826297283173,
0.01941067911684513,
-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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class TestPathDwimRelativeStackDataLoader(unittest.TestCase):
def setUp(self):
self._loader = DataLoader()
def test_none(self):
self.assertRaisesRegex(AnsibleFileNotFound, 'on the Ansible Controller', self._loader.path_dwim_relative_stack, None, None, None)
def test_empty_strings(self):
... | |
12,528 | [
0.030965112149715424,
0.036266446113586426,
0.06911696493625641,
-0.03582281991839409,
0.02182641066610813,
0.024244174361228943,
0.026573210954666138,
-0.018998293206095695,
0.018754299730062485,
0.019275560975074768,
-0.009166426956653595,
-0.014706210233271122,
0.01473948173224926,
0.01... | 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 TestPathDwimRelativeDataLoader(unittest.TestCase):
def setUp(self):
self._loader = DataLoader()
def test_all_slash(self):
self.assertEqual(self._loader.path_dwim_relative('/', '/', '/'), '/')
def test_path_endswith_role(self):
self.assertEqual(self._loader.path_dwim_relative... | |
12,529 | [
0.013260803185403347,
0.00310112489387393,
0.01164334174245596,
-0.050046149641275406,
0.058751896023750305,
0.012594789266586304,
-0.02356022410094738,
0.009585835970938206,
0.007837550714612007,
-0.01831536926329136,
0.0048969825729727745,
-0.01054322998970747,
0.01548481173813343,
0.001... | 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_parse_from_vault_1_1_file(self):
vaulted_data = """$ANSIBLE_VAULT;1.1;AES256
33343734386261666161626433386662623039356366656637303939306563376130623138626165
6436333766346533353463636566313332623130383662340a393835656134633665333861393331
3766623334646463626363653062633262303563313536373262333231353430... | |
12,530 | [
0.03399201110005379,
0.01628643088042736,
0.03849724680185318,
-0.06618192791938782,
0.01929367519915104,
0.020656509324908257,
-0.008886579424142838,
-0.0125583466142416,
0.017852000892162323,
0.00920194573700428,
0.018617890775203705,
0.01071119960397482,
0.0065269614569842815,
0.0035084... | 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 TestDataLoaderWithVault(unittest.TestCase):
def setUp(self):
self._loader = DataLoader()
vault_secrets = [('default', TextVaultSecret('ansible'))]
self._loader.set_vault_secrets(vault_secrets)
self.test_vault_data_path = os.path.join(os.path.dirname(__file__), 'fixtures', 'vau... | |
12,531 | [
-0.0328352265059948,
-0.011941983364522457,
0.033818189054727554,
-0.024929674342274666,
-0.03063923865556717,
-0.014357567764818668,
-0.00020734424469992518,
-0.010577334091067314,
-0.02748120203614235,
0.02419767901301384,
-0.022963743656873703,
-0.03316985070705414,
0.01174329873174429,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "docutilsconf", "annotation": null, "type_comment": null}}], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": nu... | def with_conf_app(docutilsconf='', *args, **kwargs):
default_kw = {
'srcdir': root,
'cleanenv': True,
}
default_kw.update(kwargs)
def generator(func):
@wraps(func)
def deco(*args2, **kwargs2):
app = TestApp(*args, **default_kw)
(app.srcdir / 'docut... | |
12,532 | [
0.001761582912877202,
0.024155523627996445,
0.014779825694859028,
-0.039179932326078415,
-0.02168639563024044,
-0.022874372079968452,
0.012799864634871483,
-0.005465274211019278,
0.008979705162346363,
0.014034428633749485,
0.013708317652344704,
-0.023899292573332787,
-0.0026059779338538647,
... | 10 | {"_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 generator(func):
@wraps(func)
def deco(*args2, **kwargs2):
app = TestApp(*args, **default_kw)
(app.srcdir / 'docutils.conf').write_text(docutilsconf)
try:
cwd = os.getcwd()
os.chdir(app.srcdir)
func(app, *args2, **kw... | |
12,533 | [
-0.010548176243901253,
0.018771035596728325,
0.08065591752529144,
-0.015782948583364487,
0.008486844599246979,
-0.033273376524448395,
0.009716903790831566,
-0.04333851486444473,
-0.0016246326267719269,
-0.008144225925207138,
0.01549087930470705,
-0.04439445585012436,
-0.00744775403290987,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "app", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}... | def test_html_with_default_docutilsconf(app):
app.builder.build(['contents'])
result = (app.outdir / 'contents.html').text(encoding='utf-8')
assert regex_count(r'<th class="field-name">', result) == 1
assert regex_count(r'<th class="field-name" colspan="2">', result) == 1
assert regex_count(r'<td c... | |
12,534 | [
0.005335111636668444,
0.01176156010478735,
0.031439557671546936,
-0.07011699676513672,
-0.02257314883172512,
-0.016160836443305016,
0.028182508423924446,
-0.012191309593617916,
-0.018411366268992424,
0.031914543360471725,
0.011908579617738724,
-0.025287354364991188,
0.01371805090457201,
0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs2", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args2", "annotation": null, "type_commen... | def deco(*args2, **kwargs2):
app = TestApp(*args, **default_kw)
(app.srcdir / 'docutils.conf').write_text(docutilsconf)
try:
cwd = os.getcwd()
os.chdir(app.srcdir)
func(app, *args2, **kwargs2)
finally:
os.chd... | |
12,535 | [
0.0051215519197285175,
0.006772524677217007,
0.03196414187550545,
-0.019398251548409462,
-0.037316884845495224,
-0.013109867461025715,
-0.01951792649924755,
0.0034678590018302202,
0.010596689768135548,
0.015568647533655167,
-0.01691771298646927,
-0.06431994587182999,
0.002696770476177335,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cursor", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "parameter_name", "annotation": null, "type_comment": null}}], "... | def get_configuration_facts(cursor, parameter_name=''):
facts = {}
cursor.execute("""
select c.parameter_name, c.current_value, c.default_value
from configuration_parameters c
where c.node_name = 'ALL'
and (? = '' or c.parameter_name ilike ?)
""", parameter_name, parameter_na... | |
12,536 | [
0.003155024955049157,
0.014166346751153469,
0.08377017825841904,
-0.026058800518512726,
0.0034193648025393486,
-0.036655135452747345,
0.005599458701908588,
-0.03838329389691353,
0.0013892058050259948,
0.00441987719386816,
0.030265500769019127,
-0.04802459478378296,
-0.010863518342375755,
-... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "app", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}... | def test_html_with_docutilsconf(app):
app.builder.build(['contents'])
result = (app.outdir / 'contents.html').text(encoding='utf-8')
assert regex_count(r'<th class="field-name">', result) == 0
assert regex_count(r'<th class="field-name" colspan="2">', result) == 2
assert regex_count(r'<td class="op... | |
12,537 | [
0.010081402026116848,
0.01609635539352894,
0.03693690150976181,
-0.04059186205267906,
-0.018226400017738342,
0.07285718619823456,
0.009391558356583118,
-0.025124838575720787,
0.022050797939300537,
0.04182631894946098,
0.018819423392415047,
-0.08466925472021103,
0.014474617317318916,
0.0206... | 12 | {"_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():
module = AnsibleModule(
argument_spec=dict(
parameter=dict(required=True, aliases=['name']),
value=dict(default=None),
db=dict(default=None),
cluster=dict(default='localhost'),
port=dict(default='5433'),
login_user=dict(def... | |
12,538 | [
0.048269178718328476,
0.014420805498957634,
0.006627575494349003,
-0.033615242689847946,
-0.007032779045403004,
0.03525825962424278,
0.008931130170822144,
0.005761661101132631,
0.02400137111544609,
0.01253355573862791,
0.0075101424008607864,
-0.04791393131017685,
0.0003070249513257295,
0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "configuration_facts", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cursor", "annotation": null, "type_comment": null}... | def present(configuration_facts, cursor, parameter_name, current_value):
parameter_key = parameter_name.lower()
changed = False
if current_value and current_value.lower() != configuration_facts[parameter_key]['current_value'].lower():
cursor.execute("select set_config_parameter('{0}', '{1}')".format... | |
12,539 | [
0.036492932587862015,
0.03371438384056091,
-0.0018136401195079088,
-0.01483198069036007,
-0.010184756480157375,
-0.04625699296593666,
-0.013012225739657879,
-0.046687472611665726,
-0.0324033759534359,
0.020486917346715927,
0.00924552883952856,
-0.007763308938592672,
0.034242697060108185,
-... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "parent", "annotation":... | class MultiPageWidgetExtensionFactory(QExtensionFactory):
def __init__(self, parent=None):
super(MultiPageWidgetExtensionFactory, self).__init__(parent)
def createExtension(self, obj, iid, parent):
if iid != Q_TYPEID['QDesignerContainerExtension']:
return None
if isinstance(... | |
12,540 | [
0.04924239590764046,
0.021789181977510452,
0.00861645583063364,
-0.008207065984606743,
-0.028397219255566597,
-0.0148728983476758,
-0.015460493974387646,
-0.028397219255566597,
-0.03756755590438843,
0.0162311103194952,
-0.0011763942893594503,
0.005924114491790533,
0.039763811975717545,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "widget", "annotation":... | class MultiPageWidgetContainerExtension(QPyDesignerContainerExtension):
def __init__(self, widget, parent=None):
super(MultiPageWidgetContainerExtension, self).__init__(parent)
self._widget = widget
def addWidget(self, widget):
self._widget.addPage(widget)
def coun... | |
12,541 | [
0.025228746235370636,
0.03152405470609665,
0.0003964262723457068,
0.020560715347528458,
-0.02553757280111313,
-0.013683387078344822,
0.010547610931098461,
0.029172221198678017,
-0.02282940223813057,
0.028364522382616997,
0.004457197152078152,
0.0072455438785254955,
0.04102640599012375,
-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": "formEditor", "annotation": null, "type_comment": null}}], "kwarg"... | def initialize(self, formEditor):
if self.initialized:
return
manager = formEditor.extensionManager()
if manager:
self.factory = MultiPageWidgetExtensionFactory(manager)
manager.registerExtensions(self.factory, Q_TYPEID['QDesignerContainerExtension'])
... | |
12,542 | [
0.04011828079819679,
0.04288724809885025,
-0.0196258295327425,
0.015324423089623451,
-0.040773533284664154,
-0.00046765911974944174,
-0.0074508399702608585,
-0.012840809300541878,
-0.01824134774506092,
0.03200162202119827,
-0.0007999084773473442,
0.009321476332843304,
0.028873326256871223,
... | 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": "parent", "annotation":... | class MultiPageWidgetPlugin(QPyDesignerCustomWidgetPlugin):
def __init__(self, parent=None):
super(MultiPageWidgetPlugin, self).__init__(parent)
self.initialized = False
def initialize(self, formEditor):
if self.initialized:
return
manager = formEditor.extensio... | |
12,543 | [
0.03359983488917351,
0.04567939415574074,
-0.012056812644004822,
-0.003346902783960104,
-0.035419728606939316,
-0.0014786656247451901,
0.019290899857878685,
-0.014354431070387363,
0.0011274826247245073,
0.0014672912657260895,
0.01706152781844139,
0.04790876805782318,
0.029482318088412285,
... | 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": "title", "annotation": null, "type_comment": null}}], "kwarg": nul... | def pageTitleChanged(self, title):
widget = self.sender()
if widget and isinstance(widget, PyMultiPageWidget):
page = widget.widget(widget.getCurrentIndex())
form = QDesignerFormWindowInterface.findFormWindow(widget)
if form:
editor = form.core()
... | |
12,544 | [
0.07280568778514862,
0.08195570111274719,
0.00896267220377922,
0.04433022439479828,
0.027686670422554016,
-0.007848500274121761,
0.015332183800637722,
0.03222223371267319,
-0.004690859466791153,
-0.0110332565382123,
-0.014858907088637352,
-0.012423506006598473,
0.012581264600157738,
-0.020... | 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": "user", "annotation": null, "type_comment": null}}, {"_type": "arg... | def user_can_create_object(self, user, obj):
roles = getattr(self, "can_be_created_by", None)
assert isinstance(roles, tuple), \
"If `can_be_created_by` is None, then `user_can_create_object` method must be overridden with custom behavior."
target_object = self._get_target_object(... | |
12,545 | [
0.04613267630338669,
0.08499787747859955,
-0.0162827018648386,
0.04190647974610329,
0.05545400455594063,
0.023066338151693344,
-0.02822071686387062,
0.01461394689977169,
-0.01516690757125616,
-0.031321242451667786,
-0.02128896676003933,
-0.026996305212378502,
-0.00726747652515769,
0.024784... | 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": "user", "annotation": null, "type_comment": null}}, {"_type": "arg... | def user_can_read_object(self, user, obj):
roles = getattr(self, "can_be_read_by", None)
assert isinstance(roles, tuple), \
"If `can_be_read_by` is None, then `user_can_read_object` method must be overridden with custom behavior."
target_object = self._get_target_object(obj)
... | |
12,546 | [
0.0429583415389061,
0.06277614086866379,
-0.005884026642888784,
0.0402289442718029,
0.015278691425919533,
0.027293972671031952,
0.040248721837997437,
0.01707851141691208,
-0.000761462259106338,
0.015110576525330544,
-0.020668262615799904,
-0.01118459552526474,
-0.02875756286084652,
0.01075... | 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": "user", "annotation": null, "type_comment": null}}, {"_type": "arg... | def user_can_update_object(self, user, obj):
roles = getattr(self, "can_be_updated_by", None)
assert isinstance(roles, tuple), \
"If `can_be_updated_by` is None, then `user_can_update_object` method must be overridden with custom behavior."
target_object = self._get_target_object(... | |
12,547 | [
0.058413755148649216,
0.09218420833349228,
-0.008865694515407085,
0.03055693581700325,
0.019452236592769623,
0.041756708174943924,
0.0002819552319124341,
0.05548546463251114,
0.0074966223910450935,
-0.003527262946590781,
-0.0052528646774590015,
-0.042441245168447495,
-0.010895534418523312,
... | 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": "user", "annotation": null, "type_comment": null}}, {"_type": "arg... | def user_can_delete_object(self, user, obj):
roles = getattr(self, "can_be_deleted_by", None)
assert isinstance(roles, tuple), \
"If `can_be_deleted_by` is None, then `user_can_delete_object` method must be overridden with custom behavior."
target_object = self._get_target_object(... | |
12,548 | [
0.03791353479027748,
0.06345780193805695,
0.06293515861034393,
0.03606250137090683,
-0.010256906971335411,
-0.0014549673069268465,
0.0014413567259907722,
0.003824563231319189,
-0.007023041136562824,
0.029660100117325783,
0.0008438538061454892,
-0.011411081068217754,
0.008041109889745712,
-... | 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": {"_type": "arg", "_fields": {"arg": "perms", "annotation": null, "type_comme... | def __init__(self, *perms):
self.perms = []
for perm in perms:
# ensure that perm is an instance of a subclass of BasePermissions
assert isinstance(perm, BasePermissions), \
"each of the arguments to __init__ must be a subclass (or instance of a subclass) of BaseP... | |
12,549 | [
0.037977319210767746,
0.06363649666309357,
0.06259184330701828,
0.03610565885901451,
-0.010239730589091778,
-0.0014948808820918202,
0.001658107154071331,
0.003971840254962444,
-0.006947999820113182,
0.02955484203994274,
0.0007345183403231204,
-0.011360550299286842,
0.008204841986298561,
-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": {"_type": "arg", "_fields": {"arg": "perms", "annotation": null, "type_comme... | def __init__(self, *perms):
self.perms = []
for perm in perms:
# ensure that perm is an instance of a subclass of BasePermissions
assert isinstance(perm, BasePermissions), \
"each of the arguments to __init__ must be a subclass (or instance of a subclass) of BaseP... | |
12,550 | [
0.024418173357844353,
0.019815592095255852,
0.05064127966761589,
-0.030090821906924248,
-0.009579040110111237,
-0.013859312050044537,
0.001088600605726242,
-0.014980948530137539,
-0.008876405656337738,
-0.0027766970451921225,
0.008031954988837242,
-0.06673097610473633,
-0.002688061911612749,... | 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": "orm", "annotation": nu... | class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'CreditProvider.provider_url'
db.add_column('credit_creditprovider', 'provider_url',
self.gf('django.db.models.fields.URLField')(default='', unique=True, max_length=255),
keep_defau... | |
12,551 | [
0.052734773606061935,
0.013572458177804947,
0.052140191197395325,
-0.018374843522906303,
-0.014464329928159714,
0.006374596152454615,
0.022742729634046555,
0.03880785405635834,
0.015264727175235748,
-0.008066865615546703,
0.05483867600560188,
-0.05451851710677147,
0.008604275062680244,
0.0... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "orm", "annotation": null, "type_comment": null}}], "kwarg": null,... | def backwards(self, orm):
# Deleting field 'CreditProvider.provider_url'
db.delete_column('credit_creditprovider', 'provider_url')
# Deleting field 'CreditProvider.eligibility_duration'
db.delete_column('credit_creditprovider', 'eligibility_duration')
# Deleting field 'CreditPr... | |
12,552 | [
0.01824221946299076,
-0.013318080455064774,
0.05606648325920105,
0.017852868884801865,
0.0048325276002287865,
-0.03565993160009384,
0.02354425936937332,
0.00846837554126978,
0.023933609947562218,
-0.012573733925819397,
0.014932739548385143,
-0.025193272158503532,
0.020578322932124138,
-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": "orm", "annotation": null, "type_comment": null}}], "kwarg": null,... | def forwards(self, orm):
# Adding field 'CreditProvider.provider_url'
db.add_column('credit_creditprovider', 'provider_url',
self.gf('django.db.models.fields.URLField')(default='', unique=True, max_length=255),
keep_default=False)
# Adding field 'Cred... | |
12,553 | [
0.004333648830652237,
0.0032595209777355194,
-0.00865015760064125,
-0.07157805562019348,
0.06604743748903275,
0.005907703191041946,
0.00670187221840024,
-0.02827013097703457,
-0.016180479899048805,
-0.03594900295138359,
0.014500726014375687,
-0.020408429205417633,
0.023699374869465828,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": n... | class TestStorageMixin(object):
def open(self, name, *args, **kwargs):
slog.debug('open: %s' % name)
return super(TestStorageMixin, self).open(name, *args, **kwargs)
def save(self, name, *args, **kwargs):
slog.debug('save: %s' % name)
return super(TestStorageMixin, self).save(na... | |
12,554 | [
0.012492325156927109,
0.00925894919782877,
0.008498496375977993,
0.0017008603317663074,
0.004310200456529856,
0.026354627683758736,
0.02707444503903389,
-0.02147844061255455,
0.024427372962236404,
-0.04871542379260063,
0.05568140745162964,
0.015673456713557243,
0.045441415160894394,
0.0100... | 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": "mock_execute", "annotation": null, "type_comment": null}}, {"_typ... | def _test_mount_share(self, mock_execute, already_mounted=False):
if already_mounted:
err_msg = 'Device or resource busy'
mock_execute.side_effect = [
None, processutils.ProcessExecutionError(err_msg)]
remotefs.mount_share(
mock.sentinel.mount_path, m... | |
12,555 | [
0.015741661190986633,
0.010005395859479904,
0.025518568232655525,
-0.05546260252594948,
0.015104299411177635,
0.04300396144390106,
-0.0019812367390841246,
-0.010877260006964207,
0.015801791101694107,
0.025614775717258453,
0.026480626314878464,
0.011129800230264664,
0.019806353375315666,
-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": "mock_execute", "annotation": null, "type_comment": null}}, {"_typ... | def test_remove_remote_dir_rsync(self, mock_execute, mock_mkdtemp):
remotefs.RsyncDriver().remove_dir('host', 'dest', None, None)
rsync_call_args = mock.call('rsync', '--archive',
'--delete-excluded', '/tmp/Venus/',
'host:dest',
... | |
12,556 | [
0.02037372626364231,
0.023867394775152206,
0.021286163479089737,
-0.04970373213291168,
0.01952132023870945,
0.025260061025619507,
0.0020394737366586924,
-0.0002281089109601453,
0.0002736931783147156,
0.016231749206781387,
0.030110375955700874,
-0.008349986746907234,
0.03438441455364227,
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": "mock_execute", "annotation": null, "type_comment": null}}, {"_typ... | def test_remove_remote_file_rsync(self, mock_execute, mock_mkdtemp):
remotefs.RsyncDriver().remove_file('host', 'dest', None, None)
rsync_call_args = mock.call('rsync', '--archive',
'--delete', '--include',
'dest', '--exclude', '*',... | |
12,557 | [
0.010837173089385033,
0.004793807864189148,
0.04033132642507553,
-0.04023919254541397,
0.027663005515933037,
0.007520375773310661,
0.02303331159055233,
0.0012006113538518548,
-0.001237320713698864,
0.022422928363084793,
0.01739014871418476,
0.038603827357292175,
0.027409639209508896,
-0.05... | 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": "mock_execute", "annotation": null, "type_comment": null}}, {"_typ... | def test_create_remote_dir_rsync(self, mock_execute, mock_mkdtemp):
remotefs.RsyncDriver().create_dir('host', 'dest_dir', None, None)
mkdir_call_args = mock.call('mkdir', '-p', '/tmp/Jupiter/dest_dir',
on_completion=None, on_execute=None)
self.assertEqual(mock... | |
12,558 | [
0.027817511931061745,
0.01929316483438015,
0.04328460618853569,
-0.05186709761619568,
0.02684064209461212,
-0.0032998407259583473,
0.028026839718222618,
-0.0038289781659841537,
-0.010483899153769016,
0.010716486722230911,
0.019700193777680397,
0.02052588202059269,
0.04507553204894066,
-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": "mock_execute", "annotation": null, "type_comment": null}}, {"_typ... | def test_create_remote_file_rsync(self, mock_execute, mock_mkdtemp):
remotefs.RsyncDriver().create_file('host', 'dest_dir', None, None)
mkdir_call_args = mock.call('mkdir', '-p', '/tmp/Mars/',
on_completion=None, on_execute=None)
self.assertEqual(mock_execute.... | |
12,559 | [
0.014898223802447319,
0.011672775261104107,
0.03872845694422722,
-0.047545067965984344,
0.0301426500082016,
0.023795614019036293,
0.03512795642018318,
-0.01047837920486927,
0.01215168833732605,
-0.0033581589814275503,
0.03535876050591469,
0.012244008481502533,
0.022722387686371803,
-0.0072... | 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": "mock_execute", "annotation": null, "type_comment": null}}], "kwar... | def test_remote_copy_file_rsync(self, mock_execute):
remotefs.RsyncDriver().copy_file('1.2.3.4:/home/star_wars',
'/home/favourite', None, None,
compression=True)
mock_execute.assert_called_once_with('rsync', '--sparse',
... | |
12,560 | [
0.021540367975831032,
0.013669191859662533,
0.02736116573214531,
-0.04879901558160782,
0.015229757875204086,
0.02802184410393238,
0.039777349680662155,
-0.009801949374377728,
0.0318264365196228,
0.0009547076188027859,
0.03907110542058945,
0.021540367975831032,
0.024672891944646835,
-0.0090... | 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": "mock_execute", "annotation": null, "type_comment": null}}], "kwar... | def test_remote_copy_file_rsync_without_compression(self, mock_execute):
remotefs.RsyncDriver().copy_file('1.2.3.4:/home/star_wars',
'/home/favourite', None, None,
compression=False)
mock_execute.assert_called_once_with('r... | |
12,561 | [
0.03426831215620041,
0.01155173685401678,
-0.020911039784550667,
-0.0313020758330822,
-0.007751823402941227,
-0.013007218949496746,
-0.005504117347300053,
-0.024945857003331184,
0.02691720612347126,
0.025166941806674004,
-0.020045120269060135,
-0.0020300750620663166,
0.01755790412425995,
-... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "function_name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "args_dict", "annotation": null, "type_comment": null}}],... | def inherit_function_args(function_name, args_dict):
#Allow to add args defined for an other function to the args_dict
for key, value in document._theme[function_name].items():
if key not in args_dict:
args_dict[key] = value
return args_dict | |
12,562 | [
0.04249889403581619,
-0.012908647768199444,
0.049305882304906845,
-0.03636365011334419,
0.05418721213936806,
0.009762655012309551,
0.030631449073553085,
-0.010630321688950062,
0.012751908041536808,
-0.0086038988083601,
0.04818631336092949,
-0.016256162896752357,
0.03228841349482536,
0.0023... | 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": "mock_execute", "annotation": null, "type_comment": null}}], "kwar... | def test_remote_copy_file_ssh(self, mock_execute):
remotefs.SshDriver().copy_file('1.2.3.4:/home/SpaceOdyssey',
'/home/favourite', None, None, True)
mock_execute.assert_called_once_with('scp',
'1.2.3.4:/home/SpaceOdyssey... | |
12,563 | [
0.052054472267627716,
-0.013316260650753975,
-0.00135659403167665,
-0.011076707392930984,
0.014212082140147686,
0.03261273354291916,
0.000057312881835969165,
0.006434175185859203,
0.03709184005856514,
0.029513675719499588,
-0.0006555988220497966,
-0.04384681582450867,
-0.03375066816806793,
... | 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": "Constant", "_fields":... | def test_to_ascii():
# check some classical latin accentuated symbols
a = '\xe0\xe1\xe2\xe3\xe4\xe5\xe7\xe8\xe9\xea\xeb'
expected = 'aaaaaaceeee'
assert_equal(strip_accents_ascii(a), expected)
a = '\xec\xed\xee\xef\xf1\xf2\xf3\xf4\xf5\xf6\xf9\xfa\xfb\xfc\xfd'
expected = 'iiiinooooouuuuy'
as... | |
12,564 | [
0.051350049674510956,
-0.012143263593316078,
-0.003468198934569955,
-0.01784341223537922,
-0.0030282035004347563,
0.04126517474651337,
0.004406043794006109,
0.011619532480835915,
0.0372701995074749,
0.026844285428524017,
-0.006388306617736816,
-0.03488295525312424,
-0.03444448485970497,
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": "Assign", "_fields": {"value": {"_type": "Constant", "_fields":... | def test_strip_accents():
# check some classical latin accentuated symbols
a = '\xe0\xe1\xe2\xe3\xe4\xe5\xe7\xe8\xe9\xea\xeb'
expected = 'aaaaaaceeee'
assert_equal(strip_accents_unicode(a), expected)
a = '\xec\xed\xee\xef\xf1\xf2\xf3\xf4\xf5\xf6\xf9\xfa\xfb\xfc\xfd'
expected = 'iiiinooooouuuuy'... | |
12,565 | [
-0.002424093661829829,
0.026673084124922752,
-0.007768911775201559,
-0.010211797431111336,
-0.052315324544906616,
-0.0024697300978004932,
0.025320101529359818,
0.015086829662322998,
0.03732513636350632,
0.05686821788549423,
0.009674899280071259,
-0.05149924010038376,
0.008917872793972492,
... | 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_word_analyzer_unigrams_and_bigrams():
wa = CountVectorizer(analyzer="word", strip_accents='unicode',
ngram_range=(1, 2)).build_analyzer()
text = "J'ai mang\xe9 du kangourou ce midi, c'\xe9tait pas tr\xeas bon."
expected = ['ai', 'mange', 'du', 'kangourou', 'ce', 'midi',
... | |
12,566 | [
0.015864599496126175,
0.0329148955643177,
-0.01943354122340679,
-0.050178613513708115,
-0.026180146262049675,
-0.0074698785319924355,
0.011572383344173431,
0.007629947736859322,
0.036543119698762894,
0.06274697929620743,
0.008821571245789528,
-0.026962704956531525,
0.010113978758454323,
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": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"va... | def test_word_analyzer_unigrams():
for Vectorizer in (CountVectorizer, HashingVectorizer):
wa = Vectorizer(strip_accents='ascii').build_analyzer()
text = ("J'ai mang\xe9 du kangourou ce midi, "
"c'\xe9tait pas tr\xeas bon.")
expected = ['ai', 'mange', 'du', 'kangourou', 'ce'... | |
12,567 | [
0.023683490231633186,
0.018789220601320267,
-0.004321281798183918,
-0.0608321912586689,
-0.047295358031988144,
0.0003407709882594645,
0.00693553825840354,
0.01742837391793728,
0.016210775822401047,
0.06532059609889984,
-0.0008908167365007102,
-0.02089017443358898,
0.02173771895468235,
0.01... | 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_char_ngram_analyzer():
cnga = CountVectorizer(analyzer='char', strip_accents='unicode',
ngram_range=(3, 6)).build_analyzer()
text = "J'ai mang\xe9 du kangourou ce midi, c'\xe9tait pas tr\xeas bon"
expected = ["j'a", "'ai", 'ai ', 'i m', ' ma']
assert_equal(cnga(text... | |
12,568 | [
0.01275520958006382,
0.030879881232976913,
-0.01964784413576126,
-0.014771497808396816,
-0.029411498457193375,
-0.003205239539965987,
0.028469102457165718,
-0.014618083834648132,
0.0464184433221817,
0.012097724713385105,
0.035065870732069016,
-0.016196047887206078,
-0.009725299663841724,
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": "Constant", "_fields":... | def test_unicode_decode_error():
# decode_error default to strict, so this should fail
# First, encode (as bytes) a unicode string.
text = "J'ai mang\xe9 du kangourou ce midi, c'\xe9tait pas tr\xeas bon."
text_bytes = text.encode('utf-8')
# Then let the Analyzer try to decode it as ascii. It shoul... | |
12,569 | [
0.019141854718327522,
0.02316032163798809,
0.008476076647639275,
-0.02458001859486103,
-0.05953105166554451,
-0.004989996552467346,
0.015087295323610306,
0.014569947496056557,
0.012175711803138256,
0.06742360442876816,
-0.0008662561886012554,
0.005705860909074545,
0.023172352463006973,
-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_char_wb_ngram_analyzer():
cnga = CountVectorizer(analyzer='char_wb', strip_accents='unicode',
ngram_range=(3, 6)).build_analyzer()
text = "This \n\tis a test, really.\n\n I met Harry yesterday"
expected = [' th', 'thi', 'his', 'is ', ' thi']
assert_equal(cnga(text)[:... | |
12,570 | [
-0.02485642209649086,
0.015162905678153038,
0.0013406414072960615,
-0.0509825237095356,
-0.03474527224898338,
0.0084970872849226,
-0.013221760280430317,
0.03210824728012085,
0.007727954536676407,
0.04841874539852142,
0.027029527351260185,
-0.015797745436429977,
-0.015663452446460724,
0.003... | 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": "Dict", "_fields": {"k... | def test_countvectorizer_custom_vocabulary():
vocab = {"pizza": 0, "beer": 1}
terms = set(vocab.keys())
# Try a few of the supported types.
for typ in [dict, list, iter, partial(defaultdict, int)]:
v = typ(vocab)
vect = CountVectorizer(vocabulary=v)
vect.fit(JUNK_FOOD_DOCS)
... | |
12,571 | [
0.026133211329579353,
0.0004416362789925188,
0.039721593260765076,
0.005733985919505358,
-0.10568740963935852,
0.00543424254283309,
0.008098631165921688,
0.047026459127664566,
0.007182747591286898,
0.07815539836883545,
0.02833133190870285,
-0.018384281545877457,
0.02371305786073208,
0.0110... | 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_countvectorizer_stop_words():
cv = CountVectorizer()
cv.set_params(stop_words='english')
assert_equal(cv.get_stop_words(), ENGLISH_STOP_WORDS)
cv.set_params(stop_words='_bad_str_stop_')
assert_raises(ValueError, cv.get_stop_words)
cv.set_params(stop_words='_bad_unicode_stop_')
asser... | |
12,572 | [
-0.012331370264291763,
-0.01750447414815426,
-0.01637176238000393,
-0.02811926230788231,
-0.029987651854753494,
-0.005692749284207821,
0.00384187581948936,
0.031202103942632675,
-0.015215696766972542,
0.051053743809461594,
0.02688145451247692,
-0.008069107308983803,
-0.021124478429555893,
... | 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": "List", "_fields": {"c... | def test_countvectorizer_custom_vocabulary_pipeline():
what_we_like = ["pizza", "beer"]
pipe = Pipeline([
('count', CountVectorizer(vocabulary=what_we_like)),
('tfidf', TfidfTransformer())])
X = pipe.fit_transform(ALL_FOOD_DOCS)
assert_equal(set(pipe.named_steps['count'].vocabulary_),
... | |
12,573 | [
0.009146241471171379,
0.002966348547488451,
-0.007397783920168877,
-0.030676385387778282,
-0.018087491393089294,
0.02262142114341259,
-0.006463263183832169,
0.040708914399147034,
-0.01596522517502308,
0.08103195577859879,
0.01891951635479927,
-0.03754962980747223,
-0.0037380815483629704,
-... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"va... | def test_countvectorizer_empty_vocabulary():
try:
vect = CountVectorizer(vocabulary=[])
vect.fit(["foo"])
assert False, "we shouldn't get here"
except ValueError as e:
assert_in("empty vocabulary", str(e).lower())
try:
v = CountVectorizer(max_df=1.0, stop_words="engl... | |
12,574 | [
0.014914672821760178,
-0.00711143808439374,
-0.008459855802357197,
0.009526864625513554,
0.0030251459684222937,
-0.02790638618171215,
-0.003848853288218379,
0.0018995102727785707,
0.032713789492845535,
0.09192691743373871,
0.027038708329200745,
0.027132511138916016,
-0.03895168751478195,
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": "List", "_fields": {"c... | def test_tf_idf_smoothing():
X = [[1, 1, 1],
[1, 1, 0],
[1, 0, 0]]
tr = TfidfTransformer(smooth_idf=True, norm='l2')
tfidf = tr.fit_transform(X).toarray()
assert_true((tfidf >= 0).all())
# check normalization
assert_array_almost_equal((tfidf ** 2).sum(axis=1), [1., 1., 1.])
... | |
12,575 | [
0.016818156465888023,
-0.0007335658301599324,
-0.030807536095380783,
0.011564712040126324,
-0.004516536835581064,
-0.029642745852470398,
-0.00038702561869286,
0.012681960128247738,
0.01861288584768772,
0.10839688777923584,
0.02169126272201538,
0.016247646883130074,
-0.02731316350400448,
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": "List", "_fields": {"c... | def test_tfidf_no_smoothing():
X = [[1, 1, 1],
[1, 1, 0],
[1, 0, 0]]
tr = TfidfTransformer(smooth_idf=False, norm='l2')
tfidf = tr.fit_transform(X).toarray()
assert_true((tfidf >= 0).all())
# check normalization
assert_array_almost_equal((tfidf ** 2).sum(axis=1), [1., 1., 1.])... | |
12,576 | [
-0.022283246740698814,
-0.016786474734544754,
0.01746172457933426,
-0.027768170461058617,
0.03499452769756317,
-0.00646225968375802,
0.016146764159202576,
-0.0033110936637967825,
0.00873086228966713,
0.0623125322163105,
0.002090905327349901,
0.031085187569260597,
-0.01848052255809307,
0.03... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"c... | def test_sublinear_tf():
X = [[1], [2], [3]]
tr = TfidfTransformer(sublinear_tf=True, use_idf=False, norm=None)
tfidf = tr.fit_transform(X).toarray()
assert_equal(tfidf[0], 1)
assert_greater(tfidf[1], tfidf[0])
assert_greater(tfidf[2], tfidf[1])
assert_less(tfidf[1], 2)
assert_less(tfidf... | |
12,577 | [
0.002754868706688285,
-0.01385047659277916,
-0.03300203010439873,
-0.013500831089913845,
-0.00467509962618351,
-0.03469386324286461,
0.02682119980454445,
0.014651277102530003,
0.035911984741687775,
0.06262039393186569,
-0.0016467178938910365,
0.025580521672964096,
-0.01473022997379303,
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_tfidf_vectorizer_setters():
tv = TfidfVectorizer(norm='l2', use_idf=False, smooth_idf=False,
sublinear_tf=False)
tv.norm = 'l1'
assert_equal(tv._tfidf.norm, 'l1')
tv.use_idf = True
assert_true(tv._tfidf.use_idf)
tv.smooth_idf = True
assert_true(tv._tfidf.smo... | |
12,578 | [
-0.014002057723701,
0.026689928025007248,
-0.017060527577996254,
-0.044706229120492935,
-0.0006387991015799344,
0.0024357247166335583,
0.009265013039112091,
0.0163675919175148,
0.004420444834977388,
0.05380995571613312,
0.02955724485218525,
0.015507398173213005,
0.0031570338178426027,
-0.0... | 11 | {"_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_vectorizer():
# raw documents as an iterator
train_data = iter(ALL_FOOD_DOCS[:-1])
test_data = [ALL_FOOD_DOCS[-1]]
n_train = len(ALL_FOOD_DOCS) - 1
# test without vocabulary
v1 = CountVectorizer(max_df=0.5)
counts_train = v1.fit_transform(train_data)
if hasattr(counts_train, 't... | |
12,579 | [
-0.02306770719587803,
0.04128031060099602,
-0.008155612275004387,
-0.008430655114352703,
0.015964431688189507,
-0.0228046216070652,
0.00868178065866232,
0.04393507167696953,
0.013273796997964382,
0.028652267530560493,
0.026284510269761086,
0.012257334776222706,
-0.026451926678419113,
0.013... | 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_hashing_vectorizer():
v = HashingVectorizer()
X = v.transform(ALL_FOOD_DOCS)
token_nnz = X.nnz
assert_equal(X.shape, (len(ALL_FOOD_DOCS), v.n_features))
assert_equal(X.dtype, v.dtype)
# By default the hashed values receive a random sign and l2 normalization
# makes the feature valu... | |
12,580 | [
-0.004701066296547651,
0.01813352480530739,
0.025393996387720108,
-0.017745202407240868,
-0.03205433115363121,
-0.030548106878995895,
-0.01713329739868641,
0.013108856044709682,
0.021910851821303368,
0.04975246265530586,
0.042974453419446945,
-0.024382000789046288,
-0.009355063550174236,
-... | 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_feature_names():
cv = CountVectorizer(max_df=0.5)
# test for Value error on unfitted/empty vocabulary
assert_raises(ValueError, cv.get_feature_names)
X = cv.fit_transform(ALL_FOOD_DOCS)
n_samples, n_features = X.shape
assert_equal(len(cv.vocabulary_), n_features)
feature_names = ... | |
12,581 | [
0.002065367763862014,
0.03058013506233692,
0.047308556735515594,
-0.04344071447849274,
-0.039427828043699265,
-0.010388785041868687,
0.014987892471253872,
-0.025140982121229172,
0.011470573022961617,
0.05690564587712288,
0.034302935004234314,
-0.04259462282061577,
-0.03084605000913143,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_count_vectorizer_max_features():
# Regression test: max_features didn't work correctly in 0.14.
cv_1 = CountVectorizer(max_features=1)
cv_3 = CountVectorizer(max_features=3)
cv_None = CountVectorizer(max_features=None)
counts_1 = cv_1.fit_transform(JUNK_FOOD_DOCS).sum(axis=0)
counts_3... | |
12,582 | [
0.0008423668332397938,
0.017593516036868095,
-0.009018280543386936,
-0.049527671188116074,
-0.04754563048481941,
0.004369231406599283,
0.0012431468348950148,
0.019867032766342163,
0.0046898555010557175,
0.04024706408381462,
0.041692785918712616,
-0.024484017863869667,
-0.016345996409654617,
... | 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": "Tuple", "_fields": {"... | def test_vectorizer_max_features():
vec_factories = (
CountVectorizer,
TfidfVectorizer,
)
expected_vocabulary = set(['burger', 'beer', 'salad', 'pizza'])
expected_stop_words = set([u'celeri', u'tomato', u'copyright', u'coke',
u'sparkling', u'water', u'the'... | |
12,583 | [
0.021736737340688705,
0.01714584045112133,
0.008305016905069351,
-0.023380693048238754,
-0.0227474644780159,
0.03835894912481308,
0.002703392645344138,
0.022601336240768433,
-0.013407365418970585,
0.056746888905763626,
0.04868542030453682,
0.006350536830723286,
-0.008865179494023323,
-0.00... | 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": "List", "_fields": {"c... | def test_vectorizer_max_df():
test_data = ['abc', 'dea', 'eat']
vect = CountVectorizer(analyzer='char', max_df=1.0)
vect.fit(test_data)
assert_true('a' in vect.vocabulary_.keys())
assert_equal(len(vect.vocabulary_.keys()), 6)
assert_equal(len(vect.stop_words_), 0)
vect.max_df = 0.5 # 0.5 *... | |
12,584 | [
-0.004117670468986034,
0.011277387849986553,
-0.0007112753228284419,
-0.03034774772822857,
-0.01753721758723259,
0.03517138957977295,
0.00778691191226244,
0.039170894771814346,
-0.013246839866042137,
0.06728861480951309,
0.045473143458366394,
-0.0017285732319578528,
-0.004929691087454557,
... | 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": "List", "_fields": {"c... | def test_vectorizer_min_df():
test_data = ['abc', 'dea', 'eat']
vect = CountVectorizer(analyzer='char', min_df=1)
vect.fit(test_data)
assert_true('a' in vect.vocabulary_.keys())
assert_equal(len(vect.vocabulary_.keys()), 6)
assert_equal(len(vect.stop_words_), 0)
vect.min_df = 2
vect.fit... | |
12,585 | [
0.02320619858801365,
0.015106244012713432,
0.024561885744333267,
-0.002091918606311083,
-0.008635394275188446,
0.03217196837067604,
0.03697953745722771,
-0.010657534934580326,
0.019013816490769386,
0.07924512028694153,
0.018763184547424316,
-0.011426517739892006,
0.04069343954324722,
0.017... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"c... | def test_count_binary_occurrences():
# by default multiple occurrences are counted as longs
test_data = ['aaabc', 'abbde']
vect = CountVectorizer(analyzer='char', max_df=1.0)
X = vect.fit_transform(test_data).toarray()
assert_array_equal(['a', 'b', 'c', 'd', 'e'], vect.get_feature_names())
asser... | |
12,586 | [
0.008281857706606388,
0.025379696860909462,
0.05667584389448166,
-0.021012792363762856,
-0.0018973143305629492,
0.009150543250143528,
0.030028337612748146,
0.013124191202223301,
0.019592374563217163,
0.05451587215065956,
0.028314445167779922,
0.005156351253390312,
0.03120223619043827,
0.00... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"c... | def test_hashed_binary_occurrences():
# by default multiple occurrences are counted as longs
test_data = ['aaabc', 'abbde']
vect = HashingVectorizer(analyzer='char', non_negative=True,
norm=None)
X = vect.transform(test_data)
assert_equal(np.max(X[0:1].data), 3)
asse... | |
12,587 | [
-0.0064145768992602825,
0.026705089956521988,
0.02466021478176117,
-0.028311775997281075,
-0.00974358431994915,
-0.01711365394294262,
-0.028579557314515114,
0.0047531165182590485,
-0.0029395073652267456,
0.03249889984726906,
0.05584455281496048,
-0.06567942351102829,
-0.018294325098395348,
... | 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": "BinOp", "_fields": {"... | def test_count_vectorizer_pipeline_grid_selection():
# raw documents
data = JUNK_FOOD_DOCS + NOTJUNK_FOOD_DOCS
# label junk food as -1, the others as +1
target = [-1] * len(JUNK_FOOD_DOCS) + [1] * len(NOTJUNK_FOOD_DOCS)
# split the dataset for model development and final evaluation
train_data,... | |
12,588 | [
0.006466451566666365,
0.023104211315512657,
0.0005820801015943289,
-0.022342784330248833,
0.015808144584298134,
-0.029047891497612,
-0.004429348744452,
0.006267571356147528,
0.019978949800133705,
0.03813956305384636,
0.0405261255800724,
-0.004489012993872166,
0.0023624140303581953,
-0.0085... | 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": "Name", "_fields": {"i... | def test_vectorizer_inverse_transform():
# raw documents
data = ALL_FOOD_DOCS
for vectorizer in (TfidfVectorizer(), CountVectorizer()):
transformed_data = vectorizer.fit_transform(data)
inversed_data = vectorizer.inverse_transform(transformed_data)
analyze = vectorizer.build_analyzer... | |
12,589 | [
-0.0032772275153547525,
0.01560351625084877,
0.034337520599365234,
-0.029568418860435486,
-0.008511008694767952,
-0.027562951669096947,
-0.02398001216351986,
0.0000950571775319986,
-0.006316000130027533,
0.0318429134786129,
0.027856435626745224,
-0.05977271869778633,
-0.018819602206349373,
... | 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": "BinOp", "_fields": {"... | def test_vectorizer_pipeline_grid_selection():
# raw documents
data = JUNK_FOOD_DOCS + NOTJUNK_FOOD_DOCS
# label junk food as -1, the others as +1
target = [-1] * len(JUNK_FOOD_DOCS) + [1] * len(NOTJUNK_FOOD_DOCS)
# split the dataset for model development and final evaluation
train_data, test_... | |
12,590 | [
0.033253252506256104,
0.018153812736272812,
0.06630945205688477,
-0.03640615567564964,
0.007094027474522591,
-0.005591473076492548,
0.012919505126774311,
0.007346505764871836,
0.007198713719844818,
0.020678596571087837,
0.006355066318064928,
-0.044436197727918625,
-0.009674233384430408,
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": "BinOp", "_fields": {"... | def test_vectorizer_pipeline_cross_validation():
# raw documents
data = JUNK_FOOD_DOCS + NOTJUNK_FOOD_DOCS
# label junk food as -1, the others as +1
target = [-1] * len(JUNK_FOOD_DOCS) + [1] * len(NOTJUNK_FOOD_DOCS)
pipeline = Pipeline([('vect', TfidfVectorizer()),
('svc',... | |
12,591 | [
-0.009391912259161472,
0.021944621577858925,
-0.003405096009373665,
-0.026227382943034172,
-0.008366462774574757,
-0.006852416321635246,
0.02299419976770878,
0.0035408171825110912,
0.010393233969807625,
0.051248352974653244,
0.032404206693172455,
-0.009940829128026962,
-0.009385880082845688,... | 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": "Constant", "_fields":... | def test_vectorizer_unicode():
# tests that the count vectorizer works with cyrillic.
document = (
"\xd0\x9c\xd0\xb0\xd1\x88\xd0\xb8\xd0\xbd\xd0\xbd\xd0\xbe\xd0"
"\xb5 \xd0\xbe\xd0\xb1\xd1\x83\xd1\x87\xd0\xb5\xd0\xbd\xd0\xb8\xd0"
"\xb5 \xe2\x80\x94 \xd0\xbe\xd0\xb1\xd1\x88\xd0\xb8\xd1\x8... | |
12,592 | [
-0.0004315802361816168,
0.020335743203759193,
0.008444718085229397,
-0.03299332037568092,
-0.042774748057127,
0.005783966742455959,
-0.008432048372924328,
-0.012575218454003334,
-0.012987001799046993,
0.05539431422948837,
0.015419688075780869,
-0.011225837282836437,
0.005901166703552008,
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": "List", "_fields": {"c... | def test_tfidf_vectorizer_with_fixed_vocabulary():
# non regression smoke test for inheritance issues
vocabulary = ['pizza', 'celeri']
vect = TfidfVectorizer(vocabulary=vocabulary)
X_1 = vect.fit_transform(ALL_FOOD_DOCS)
X_2 = vect.transform(ALL_FOOD_DOCS)
assert_array_almost_equal(X_1.toarray()... | |
12,593 | [
-0.006894356105476618,
-0.002159564755856991,
-0.027177387848496437,
-0.04185367748141289,
-0.025702258571982384,
0.03042767383158207,
-0.01847662404179573,
0.033202916383743286,
-0.026927366852760315,
0.022576984018087387,
0.05320467799901962,
-0.004453516565263271,
-0.00025470988475717604,... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"c... | def test_pickling_vectorizer():
instances = [
HashingVectorizer(),
HashingVectorizer(norm='l1'),
HashingVectorizer(binary=True),
HashingVectorizer(ngram_range=(1, 2)),
CountVectorizer(),
CountVectorizer(preprocessor=strip_tags),
CountVectorizer(analyzer=lazy_a... | |
12,594 | [
0.03997379541397095,
0.02409093640744686,
-0.017691418528556824,
-0.028936946764588356,
-0.04855285957455635,
0.03387570381164551,
-0.005527119152247906,
0.045376285910606384,
-0.0065676202066242695,
0.020891176536679268,
0.04004335403442383,
-0.006034327205270529,
-0.024485109373927116,
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": "Tuple", "_fields": {"... | def test_stop_words_removal():
# Ensure that deleting the stop_words_ attribute doesn't affect transform
fitted_vectorizers = (
TfidfVectorizer().fit(JUNK_FOOD_DOCS),
CountVectorizer(preprocessor=strip_tags).fit(JUNK_FOOD_DOCS),
CountVectorizer(strip_accents=strip_eacute).fit(JUNK_FOOD_... | |
12,595 | [
0.005975724197924137,
-0.010395601391792297,
-0.06137024238705635,
-0.02077850140631199,
0.00756967393681407,
-0.0024353775661438704,
-0.012383275665342808,
0.011995901353657246,
-0.02916102670133114,
0.02123573049902916,
0.06182747334241867,
-0.012707145884633064,
-0.0064329528249800205,
... | 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_pickling_transformer():
X = CountVectorizer().fit_transform(JUNK_FOOD_DOCS)
orig = TfidfTransformer().fit(X)
s = pickle.dumps(orig)
copy = pickle.loads(s)
assert_equal(type(copy), orig.__class__)
assert_array_equal(
copy.fit_transform(X).toarray(),
orig.fit_transform(X).... | |
12,596 | [
-0.00645502470433712,
0.04232802987098694,
0.005937063135206699,
0.009941518306732178,
0.038095228374004364,
-0.05426899343729019,
-0.02321358397603035,
0.039810627698898315,
0.025307707488536835,
0.017009185627102852,
0.027134496718645096,
-0.009100526571273804,
-0.027780555188655853,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields":... | def test_hashingvectorizer_nan_in_docs():
# np.nan can appear when using pandas to load text fields from a csv file
# with missing values.
message = "np.nan is an invalid document, expected byte or unicode string."
exception = ValueError
def func():
hv = HashingVectorizer()
hv.fit_t... | |
12,597 | [
0.003580369520932436,
0.0025065720546990633,
-0.013518872670829296,
-0.020453879609704018,
-0.025833839550614357,
-0.007223442196846008,
-0.006380080245435238,
-0.0685223788022995,
0.011349332518875599,
-0.013155193068087101,
0.020315932109951973,
-0.042186908423900604,
0.04248788580298424,
... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "stock.move"}}, "targets": [{"_type": "Name", "_fields": {"id": "_inherit", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": n... | class stock_move(orm.Model):
_inherit = "stock.move"
def _get_direction(self, cr, uid, ids, field_name, arg, context=None):
if context is None:
context = {}
res = {}
for move in self.browse(cr, uid, ids, context=context):
# import pdb; pdb.set_trace()
... | |
12,598 | [
0.010006492957472801,
0.004547376185655594,
-0.005360014270991087,
-0.04143039137125015,
-0.0037035916466265917,
-0.016807736828923225,
0.0177477914839983,
0.03887072205543518,
0.02681989222764969,
0.09092487394809723,
-0.011790333315730095,
0.011258012615144253,
0.026095030829310417,
0.03... | 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_tfidfvectorizer_binary():
# Non-regression test: TfidfVectorizer used to ignore its "binary" param.
v = TfidfVectorizer(binary=True, use_idf=False, norm=None)
assert_true(v.binary)
X = v.fit_transform(['hello world', 'hello hello']).toarray()
assert_array_equal(X.ravel(), [1, 1, 1, 0])
... | |
12,599 | [
-0.02473745495080948,
0.0010099827777594328,
0.07558000087738037,
-0.044892121106386185,
0.0332552008330822,
-0.003988944459706545,
-0.003335117595270276,
-0.01234473381191492,
0.011295011267066002,
0.06962957978248596,
0.006820195354521275,
-0.000373776099877432,
-0.011408980935811996,
0.... | 12 | {"_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():
parser = argparse.ArgumentParser()
parser.add_argument('-c', action='store_true', default=False,
help='Produce a context format diff (default)')
parser.add_argument('-u', action='store_true', default=False,
help='Produce a unified format diff')
... | |
12,600 | [
-0.02752836048603058,
-0.002032747259363532,
0.007552551571279764,
-0.0031074576545506716,
-0.021770279854536057,
-0.0036711052525788546,
-0.0077103073708713055,
-0.03599458187818527,
0.011982856318354607,
0.023492444306612015,
0.008669987320899963,
-0.0038190013729035854,
0.0319981053471565... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def _get_direction(self, cr, uid, ids, field_name, arg, context=None):
if context is None:
context = {}
res = {}
for move in self.browse(cr, uid, ids, context=context):
# import pdb; pdb.set_trace()
# ('supplier', 'Supplier Location'), ('view', 'View'), ('internal', 'Int... |