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10,901
[ -0.024829931557178497, -0.02857142873108387, 0.02248542197048664, -0.0077259475365281105, 0.019302720203995705, -0.000548924901522696, 0.021902332082390785, 0.011339893564581871, 0.014686589129269123, 0.01123056374490261, 0.010495626367628574, 0.002033224096521735, 0.0259232260286808, -0.0...
13
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class AccumulateTest(test.TestCase): def testSimple(self): with self.cached_session(): random_arrays = [ np.random.rand(16, 16, 16, 16).astype(np.float32) for _ in range(20) ] random_tensors = [ ops.convert_to_tensor(x, dtype=dtypes_lib.float32) for x in random_arr...
10,902
[ -0.00972236692905426, -0.003829766996204853, 0.0495079830288887, -0.05667717009782791, 0.020211249589920044, 0.016006678342819214, -0.00013843804481439292, -0.004621646832674742, 0.02003089338541031, 0.014879448339343071, -0.010201439261436462, -0.004655463621020317, -0.01792297139763832, ...
12
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def _testDtype(self, dtype): data = (np.arange(-3, 3) / 4.).reshape(1, 3, 2).astype(dtype) self._compare(data) # TODO: rint op is not supported for float16 if dtype is np.float16: return self._compare_values(data) x = [0.5, 0.5000001] y = [0.0, 1.0] self._compare_values(x, y=y) ...
10,903
[ -0.013793661259114742, -0.03751278668642044, 0.04577157273888588, -0.033955540508031845, 0.05751297250390053, -0.016741449013352394, 0.01891808770596981, 0.026816170662641525, 0.03271174803376198, 0.00044310116209089756, 0.02075890079140663, 0.00007545352127635852, 0.030970437452197075, 0....
12
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def testSimple(self): with self.cached_session(): random_arrays = [ np.random.rand(16, 16, 16, 16).astype(np.float32) for _ in range(20) ] random_tensors = [ ops.convert_to_tensor(x, dtype=dtypes_lib.float32) for x in random_arrays ] tf_val = math_ops.accu...
10,904
[ -0.012791709043085575, 0.002606112975627184, 0.04522739350795746, -0.018317338079214096, 0.03410311043262482, -0.028893927112221718, -0.01175717543810606, 0.005388705059885979, 0.04495963081717491, 0.048732638359069824, 0.046493176370859146, -0.002943857805803418, 0.02848011441528797, 0.00...
14
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class PolyvalTest(test.TestCase): def _runtest(self, dtype, degree): x = np.random.rand(2, 2).astype(dtype) coeffs = [np.random.rand(2, 2).astype(dtype) for _ in range(degree + 1)] np_val = np.polyval(coeffs, x) with self.cached_session(): tf_val = math_ops.polyval(coeffs, x) self.assertA...
10,905
[ 0.022208627313375473, -0.005561253987252712, -0.0032688286155462265, -0.0029140484984964132, -0.0010597917716950178, -0.017077961936593056, 0.0015965104103088379, 0.01681111752986908, 0.0440291203558445, -0.013026797212660313, 0.008211491629481316, -0.04301026463508606, -0.025422874838113785...
13
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class MobileMiddleware(object): def process_request(self, request): try: logger.info('/mobile') logger.info('Authenticating user...') # region Getting data from meta. facebook_id = request.META.get('HTTP_FACEBOOKID', None) google_id = request.META...
10,906
[ 0.0027337034698575735, -0.009602367877960205, 0.05665084347128868, -0.00955857802182436, 0.024384383112192154, -0.01917971298098564, 0.0005399376968853176, 0.013699795119464397, 0.04286346957087517, 0.014763249084353447, 0.038334403187036514, 0.011604164727032185, 0.011266360990703106, 0.0...
13
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def testBroadcast(self): dtype = np.float32 degree = 3 shapes = [(1,), (2, 1), (1, 2), (2, 2)] for x_shape in shapes: for coeff_shape in shapes: x = np.random.rand(*x_shape).astype(dtype) coeffs = [ np.random.rand(*coeff_shape).astype(dtype) for _ in range(d...
10,907
[ 0.026497015729546547, -0.02206854522228241, -0.006624253932386637, 0.007466893643140793, 0.021096741780638695, -0.011649338528513908, 0.030679460614919662, 0.0220931489020586, 0.04792589321732521, 0.015844084322452545, 0.014884581789374352, -0.01931305229663849, -0.01029004342854023, 0.001...
12
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def process_request(self, request): try: logger.info('/mobile') logger.info('Authenticating user...') # region Getting data from meta. facebook_id = request.META.get('HTTP_FACEBOOKID', None) google_id = request.META.get('HTTP_GOOGLEID', None) ...
10,908
[ 0.007501921616494656, 0.00713832164183259, 0.012084349989891052, -0.001431674580089748, 0.01926010102033615, -0.011517561972141266, -0.01914246566593647, 0.058518197387456894, 0.03193262591958046, 0.010047120973467827, 0.0018527554348111153, -0.04829462245106697, -0.047524645924568176, -0....
11
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class BackofficeAuthMiddleware(object): def process_request(self, request): try: token = request.META.get('HTTP_AUTHORIZATION', None) jwt_util.jwt_auth_validate_token(token, raise_exception=True) return None except CustomException as ce: logger.error(...
10,909
[ 0.00012397706450428814, -0.022716743871569633, -0.00610780343413353, -0.0030921711586415768, 0.03808575123548508, -0.026676354929804802, -0.0329219289124012, 0.06551729142665863, 0.04335162788629532, 0.01319530513137579, 0.00478112930431962, -0.01845097541809082, -0.02835000492632389, 0.00...
10
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def process_request(self, request): try: token = request.META.get('HTTP_AUTHORIZATION', None) jwt_util.jwt_auth_validate_token(token, raise_exception=True) return None except CustomException as ce: logger.error('Exception while authenticating user. Except...
10,910
[ -0.025952288880944252, 0.02620519883930683, 0.012149329297244549, 0.009260336868464947, 0.05100967362523079, -0.051476579159498215, -0.014513049274682999, 0.012373055331408978, 0.02486283890902996, 0.02791719324886799, -0.02243102714419365, -0.010019062086939812, 0.010077426210045815, -0.0...
9
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def _empty_ipaddr_query(v, vtype): # We don't have any query to process, so just check what type the user # expects, and return the IP address in a correct format if v: if vtype == 'address': return str(v.ip) elif vtype == 'network': return str(v)
10,911
[ -0.0194848719984293, -0.027329744771122932, 0.017969246953725815, -0.011306560598313808, 0.005065217614173889, -0.03171899542212486, -0.012385684996843338, -0.009966747835278511, 0.008463248610496521, 0.022552495822310448, 0.015835247933864594, -0.02331637032330036, 0.03909099102020264, 0....
13
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def _6to4_query(v, vtype, value): if v.version == 4: if v.size == 1: ipconv = str(v.ip) elif v.size > 1: if v.ip != v.network: ipconv = str(v.ip) else: ipconv = False if ipaddr(ipconv, 'public'): numbers = list...
10,912
[ 0.005854044109582901, -0.015987452119588852, -0.023248769342899323, 0.011425587348639965, 0.013015962205827236, -0.022160617634654045, -0.004752814304083586, -0.011802255176007748, 0.029484711587429047, 0.04532568156719208, 0.008888311684131622, 0.004391841124743223, 0.029296377673745155, ...
10
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def _ipv4_query(v, value): if v.version == 6: try: return str(v.ipv4()) except: return False else: return value
10,913
[ -0.018925147131085396, 0.0041582933627069, 0.016163865104317665, -0.032546013593673706, -0.013086073100566864, -0.014232059940695763, -0.04741109535098076, 0.001829485408961773, -0.0212062057107687, 0.0312363151460886, -0.012835047207772732, -0.036737050861120224, 0.03267698362469673, 0.01...
8
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def _type_query(v): if v.size == 1: return 'address' if v.size > 1: if v.ip != v.network: return 'address' else: return 'network'
10,914
[ -0.017639292404055595, -0.0027070462238043547, -0.0006718193180859089, 0.004523165989667177, 0.027223344892263412, -0.05596495419740677, -0.013959608040750027, -0.005830561276525259, -0.009030517190694809, 0.028889218345284462, -0.006500074174255133, 0.025494208559393883, 0.01095470786094665...
9
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def _link_local_query(v, value): v_ip = netaddr.IPAddress(str(v.ip)) if v.version == 4: if ipaddr(str(v_ip), '169.254.0.0/24'): return value elif v.version == 6: if ipaddr(str(v_ip), 'fe80::/10'): return value
10,915
[ -0.0020095063373446465, 0.01725129410624504, -0.025575043633580208, 0.001923249801620841, 0.02277170866727829, -0.05071880668401718, -0.023138297721743584, -0.011989649385213852, 0.027386430650949478, 0.018146205693483353, 0.007682216819375753, -0.003345133736729622, 0.053565267473459244, ...
11
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def ipwrap(value, query = ''): try: if isinstance(value, (list, tuple)): _ret = [] for element in value: if ipaddr(element, query, version = False, alias = 'ipwrap'): _ret.append(ipaddr(element, 'wrap')) else: _r...
10,916
[ -0.010837015695869923, -0.007304127793759108, -0.01229890063405037, -0.012447208166122437, -0.007876169867813587, -0.014449354261159897, -0.006085890345275402, -0.011440837755799294, 0.024216439574956894, 0.030953822657465935, -0.03408946096897125, -0.009195043705403805, 0.0714840516448021, ...
13
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def _wrap_query(v, vtype, value): if v.version == 6: if vtype == 'address': return '[' + str(v.ip) + ']' elif vtype == 'network': return '[' + str(v.ip) + ']/' + str(v.prefixlen) else: return value
10,917
[ 0.027496686205267906, 0.017316527664661407, 0.053762175142765045, 0.019984116777777672, -0.0009184086811728776, 0.012425947934389114, 0.011143453419208527, -0.03253546357154846, -0.03404025733470917, 0.057546958327293396, -0.011377152986824512, -0.021648509427905083, 0.014078941196203232, ...
12
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def check(self, **kwargs): errors = super(ArrayField, self).check(**kwargs) if self.base_field.remote_field: errors.append( checks.Error( 'Base field for array cannot be a related field.', hint=None, obj=self, ...
10,918
[ 0.03583125025033951, -0.005935968365520239, 0.029708189889788628, 0.01171319093555212, 0.009768551215529442, 0.012404869310557842, 0.00620810454711318, -0.03195331245660782, -0.009133567102253437, 0.059280309826135635, -0.023517092689871788, -0.013323329389095306, 0.018766051158308983, -0....
13
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class ArrayField(Field): empty_strings_allowed = False default_error_messages = { 'item_invalid': _('Item %(nth)s in the array did not validate: '), 'nested_array_mismatch': _('Nested arrays must have the same length.'), } def __init__(self, base_field, size=None, **kwargs): sel...
10,919
[ 0.03418530523777008, -0.012213439680635929, -0.0118641909211874, 0.006758993491530418, -0.0024896825198084116, -0.0000967817468335852, 0.00002132649206032511, -0.011905279010534286, -0.010991068556904793, 0.03381551057100296, 0.006158079952001572, -0.03730800002813339, 0.038704995065927505, ...
8
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def deconstruct(self): name, path, args, kwargs = super(ArrayField, self).deconstruct() if path == 'django.contrib.postgres.fields.array.ArrayField': path = 'django.contrib.postgres.fields.ArrayField' kwargs.update({ 'base_field': self.base_field, 'size': self...
10,920
[ 0.03474612906575203, 0.00825122743844986, 0.0021300590597093105, -0.03277013823390007, -0.03476569429039955, -0.00012930754746776074, -0.03591998666524887, -0.05110185220837593, 0.036350399255752563, -0.019466441124677658, 0.029992014169692993, -0.005678527057170868, 0.008603384718298912, ...
9
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def value_to_string(self, obj): values = [] vals = self._get_val_from_obj(obj) base_field = self.base_field for val in vals: obj = AttributeSetter(base_field.attname, val) values.append(base_field.value_to_string(obj)) return json.dumps(values)
10,921
[ 0.0202522911131382, -0.03506430238485336, 0.00018910152721218765, -0.0024784088600426912, 0.02061356045305729, -0.02866772562265396, 0.027966439723968506, -0.026500113308429718, -0.052277687937021255, -0.009371732361614704, -0.0001271745131816715, -0.0022061290219426155, 0.037550680339336395...
8
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def get_transform(self, name): transform = super(ArrayField, self).get_transform(name) if transform: return transform try: index = int(name) except ValueError: pass else: index += 1 # postgres uses 1-indexing return Ind...
10,922
[ 0.04139215871691704, 0.007314533926546574, -0.015354122966527939, 0.0016420382307842374, 0.015642013400793076, 0.005469906609505415, 0.027744047343730927, -0.025142377242445946, 0.0020512149203568697, 0.04286359250545502, 0.008274166844785213, -0.013114980421960354, -0.01041734591126442, -...
12
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def validate(self, value, model_instance): super(ArrayField, self).validate(value, model_instance) for i, part in enumerate(value): try: self.base_field.validate(part, model_instance) except exceptions.ValidationError as e: raise exceptions.Validat...
10,923
[ 0.0542110912501812, -0.007655764929950237, 0.027891812846064568, 0.010831872932612896, 0.009424867108464241, -0.004715019837021828, 0.018963536247611046, -0.03176107630133629, -0.02280176430940628, 0.03722357004880905, -0.05553533136844635, -0.02936089225113392, 0.024726051837205887, -0.00...
9
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def formfield(self, **kwargs): defaults = { 'form_class': SimpleArrayField, 'base_field': self.base_field.formfield(), 'max_length': self.size, } defaults.update(kwargs) return super(ArrayField, self).formfield(**defaults)
10,924
[ 0.054592616856098175, 0.037320759147405624, 0.0031665072310715914, 0.007157096639275551, 0.003496704623103142, -0.023661315441131592, 0.01536405086517334, -0.014607702381908894, 0.016052667051553726, 0.04122668132185936, 0.015251163393259048, 0.0156124047935009, -0.0036293480079621077, -0....
12
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def run_validators(self, value): super(ArrayField, self).run_validators(value) for i, part in enumerate(value): try: self.base_field.run_validators(part) except exceptions.ValidationError as e: raise exceptions.ValidationError( ...
10,925
[ 0.022779343649744987, -0.010094300843775272, 0.002248908393085003, -0.023815641179680824, -0.004008454270660877, -0.03584820032119751, -0.01692618429660797, -0.03172220289707184, -0.0726175531744957, 0.014009200036525726, 0.008251994848251343, -0.07016114890575409, 0.05350362882018089, -0....
10
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class SliceTransform(Transform): def __init__(self, start, end, *args, **kwargs): super(SliceTransform, self).__init__(*args, **kwargs) self.start = start self.end = end def as_sql(self, compiler, connection): lhs, params = compiler.compile(self.lhs) return '%s[%s:%s]' ...
10,926
[ 0.010185524821281433, -0.016407320275902748, 0.03674929589033127, -0.02690296620130539, 0.006202412769198418, -0.04120728000998497, -0.012792476452887058, 0.00020836231124121696, -0.07167663425207138, 0.007195767946541309, 0.0009757897933013737, -0.016872501000761986, 0.051596321165561676, ...
10
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class IndexTransform(Transform): def __init__(self, index, base_field, *args, **kwargs): super(IndexTransform, self).__init__(*args, **kwargs) self.index = index self.base_field = base_field def as_sql(self, compiler, connection): lhs, params = compiler.compile(self.lhs) ...
10,927
[ 0.001112222671508789, -0.031775884330272675, 0.02639986388385296, -0.05210604891180992, -0.0057195257395505905, -0.009958311915397644, 0.032923124730587006, 0.007490410935133696, -0.011205601505935192, -0.013093211688101292, 0.05039852857589722, -0.020917123183608055, -0.026493243873119354, ...
11
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def migrate_v071_baskets(): default_topic_name = '' default_share_level = '' print("Basket migration kit (for CDSware prior to v0.7.1 -> v0.90)") print("===============================") print("Checking your installation...") if __check_update_possibility(): print("Tables are OK, please ...
10,928
[ 0.031064944341778755, -0.03177500143647194, 0.023507921025156975, -0.008805961348116398, 0.0406760573387146, -0.01013097632676363, 0.011830038391053677, 0.004200107418000698, 0.00648876978084445, 0.013858769088983536, 0.055029332637786865, -0.018854519352316856, -0.02677925117313862, 0.037...
7
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def choose_share_level(): print("===============================") print("Public baskets now have share levels. Please choose between:") print(" 0: current public baskets should not be public anymore") print(" 1: people can view content [default]") print(" 2: people can view c...
10,929
[ 0.010859185829758644, -0.007930731400847435, 0.009096136316657066, -0.038273099809885025, 0.0010817350121214986, -0.009556322358548641, -0.006000342313200235, -0.010793444700539112, 0.009096136316657066, 0.0031944054644554853, 0.011158007197082043, -0.023379821330308914, 0.017391430214047432...
8
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def __setup_r__(self, r): # sets up r so it belongs to this fgraph if getattr(r, 'cached', False): raise CachedConstantError( "You manually constructed a FunctionGraph, but you passed it a" " graph that has a cached constant. This should not happen." ...
10,930
[ 0.0014174544485285878, -0.010423184372484684, -0.009953358210623264, -0.051599692553281784, -0.005278295837342739, 0.00773183349519968, 0.01493003685027361, -0.02247045934200287, -0.018131816759705544, 0.03271383419632912, 0.049001146107912064, 0.004080528859049082, -0.008503276854753494, ...
13
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def __setup_node__(self, node): # sets up node so it belongs to this fgraph if hasattr(node, 'fgraph') and node.fgraph is not self: raise Exception("%s is already owned by another fgraph" % node) if (hasattr(node.op, 'view_map') and not all(isinstance(view, (list, tuple))...
10,931
[ 0.0006525154458358884, 0.019671747460961342, -0.006245187483727932, -0.03446111083030701, -0.009118922054767609, 0.00687326118350029, -0.023914208635687828, -0.010659480467438698, -0.013568766415119171, 0.08423300087451935, -0.0093500055372715, -0.018024535849690437, 0.024648936465382576, ...
11
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def _pop_a_match_at_tier(op1, operator_list, tier): # Search from the back of list to the front in order to create nice default # order of operations. for i in range(1, len(operator_list) + 1): op2 = operator_list[-i] for adder in tier: if adder.can_add(op1, op2): return operator_list.pop(-i...
10,932
[ 0.02373291179537773, 0.006982867605984211, -0.029102647677063942, -0.0009640114149078727, -0.020097842440009117, 0.004027302842587233, -0.0009943956974893808, -0.04295789450407028, -0.0075960783287882805, 0.020583990961313248, -0.048791684210300446, -0.011711771599948406, 0.01961169391870498...
9
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def _add(self, op1, op2, operator_name, hints): # Will build a LinearOperatorScaledIdentity. if _type(op1) == _SCALED_IDENTITY: multiplier_1 = op1.multiplier else: multiplier_1 = array_ops.ones(op1.batch_shape_tensor(), dtype=op1.dtype) if _type(op2) == _SCALED_IDENTITY: multiplier_2...
10,933
[ -0.004781000316143036, -0.015506247989833355, -0.024823354557156563, -0.013658410869538784, 0.018678739666938782, 0.0476430281996727, 0.004989716690033674, -0.004483231343328953, 0.0017671333625912666, 0.041765570640563965, -0.03299391269683838, 0.025825193151831627, 0.014671381562948227, ...
10
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def _add(self, op1, op2, operator_name, hints): if _type(op1) in _EFFICIENT_ADD_TO_TENSOR: op_add_to_tensor, op_other = op1, op2 else: op_add_to_tensor, op_other = op2, op1 return linear_operator_lower_triangular.LinearOperatorLowerTriangular( tril=op_add_to_tensor.add_to_tensor(op_othe...
10,934
[ -0.007470869924873114, -0.01077309250831604, -0.051484156399965286, -0.011911978013813496, 0.002299567451700568, 0.03688026964664459, 0.00641372287645936, -0.014767364598810673, 0.0029316761065274477, 0.04267822951078415, -0.02524075098335743, 0.026548562571406364, 0.009797683916985989, -0...
10
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def _add(self, op1, op2, operator_name, hints): if _type(op1) in _EFFICIENT_ADD_TO_TENSOR: op_add_to_tensor, op_other = op1, op2 else: op_add_to_tensor, op_other = op2, op1 return linear_operator_full_matrix.LinearOperatorFullMatrix( matrix=op_add_to_tensor.add_to_tensor(op_other.to_dens...
10,935
[ 0.02956845425069332, -0.020068082958459854, 0.01590440422296524, -0.05516345053911209, -0.03202016279101372, -0.0030857715755701065, 0.03191448748111725, -0.00341601250693202, -0.00813713762909174, 0.006499141920357943, -0.007027527783066034, -0.007598184049129486, -0.00715962378308177, -0...
11
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def computeComprRate(meta, size): if not meta.has("duration") \ or not meta.has("sample_rate") \ or not meta.has("bits_per_sample") \ or not meta.has("nb_channel") \ or not size: return orig_size = timedelta2seconds(meta.get("duration")) * meta.get('sample_rate') * meta.get('bits_per_sam...
10,936
[ 0.03171386197209358, 0.026621971279382706, -0.020088544115424156, -0.023239005357027054, -0.0018382529960945249, 0.03548046201467514, 0.016542823985219002, 0.006992627400904894, 0.019867664203047752, -0.029946811497211456, -0.0017437973292544484, 0.0008275771397165954, 0.00558596383780241, ...
12
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def readVorbisComment(metadata, comment): metadata.producer = getValue(comment, "vendor") for item in comment.array("metadata"): if "=" in item.value: key, value = item.value.split("=", 1) key = key.upper() if key in VORBIS_KEY_TO_ATTR: key = VORBIS_KE...
10,937
[ 0.019478866830468178, 0.0285587590187788, -0.006031917408108711, -0.03567923977971077, -0.03352772817015648, 0.0027406164444983006, 0.017519453540444374, -0.01629001833498478, -0.030710270628333092, -0.01113535463809967, 0.10066001862287521, -0.026893898844718933, -0.036447636783123016, 0....
14
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def extract(self, ogg): granule_quotient = None for index, page in enumerate(ogg.array("page")): if "segments" not in page: continue page = page["segments"] if "vorbis_hdr" in page: meta = Metadata(self) self.vorbisHeade...
10,938
[ 0.017222989350557327, 0.05923860892653465, 0.01628119871020317, -0.06451263278722763, -0.011566361412405968, 0.008511429652571678, 0.03599993512034416, -0.035717397928237915, -0.038966573774814606, -0.020589889958500862, 0.08589127659797668, -0.019695188850164413, -0.05151592940092087, 0.0...
15
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class OggMetadata(MultipleMetadata): def extract(self, ogg): granule_quotient = None for index, page in enumerate(ogg.array("page")): if "segments" not in page: continue page = page["segments"] if "vorbis_hdr" in page: meta = Metada...
10,939
[ -0.007276621181517839, 0.03389446809887886, -0.011313002556562424, -0.06097441166639328, 0.0011190519435331225, 0.013951960951089859, -0.020488115027546883, -0.018840158358216286, -0.023026859387755394, -0.030019542202353477, 0.03456255793571472, -0.038482025265693665, -0.02828250639140606, ...
14
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class AuMetadata(RootMetadata): def extract(self, audio): self.sample_rate = audio["sample_rate"].value self.nb_channel = audio["channels"].value self.compression = audio["codec"].display if "info" in audio: self.comment = audio["info"].value self.bits_per_sample ...
10,940
[ 0.013966202735900879, 0.009045644663274288, -0.0005103090079501271, -0.06654685735702515, -0.007306972052901983, -0.024205055087804794, 0.04084176942706108, 0.010363854467868805, 0.0024020392447710037, -0.022068645805120468, 0.013261642307043076, 0.013307098299264908, -0.06000126153230667, ...
10
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def theoraHeader(self, header, meta): meta.compression = "Theora" meta.format_version = "Theora version %u.%u (revision %u)" % (\ header["version_major"].value, header["version_minor"].value, header["version_revision"].value) meta.width = header["frame_width"]...
10,941
[ -0.01785123161971569, -0.022754712030291557, -0.007697075139731169, -0.059525471180677414, -0.006666169036179781, 0.010309060104191303, -0.01687908172607422, -0.007819929160177708, 0.010971403680741787, -0.0037684154231101274, 0.04315917193889618, 0.0006720251985825598, -0.04670591652393341,...
13
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def extract(self, audio): self.sample_rate = audio["sample_rate"].value self.nb_channel = audio["channels"].value self.compression = audio["codec"].display if "info" in audio: self.comment = audio["info"].value self.bits_per_sample = audio.getBitsPerSample() c...
10,942
[ -0.016844239085912704, 0.017910923808813095, 0.029421741142868996, -0.04344102367758751, 0.012636110186576843, 0.006552491337060928, -0.03619694709777832, -0.006757623050361872, -0.03643138334155083, -0.017864037305116653, 0.013773125596344471, 0.0015238352352753282, -0.010367940180003643, ...
12
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class RealAudioMetadata(RootMetadata): FOURCC_TO_BITRATE = { u"28_8": 15200, # 28.8 kbit/sec (audio bit rate: 15.2 kbit/s) u"14_4": 8000, # 14.4 kbit/sec u"lpcJ": 8000, # 14.4 kbit/sec } def extract(self, real): version = real["version"].value if "metadata" in real...
10,943
[ 0.026354840025305748, 0.0060020009987056255, -0.006689109373837709, -0.06018943339586258, 0.0073354304768145084, 0.015436406247317791, -0.030446115881204605, -0.012964071705937386, -0.007806052919477224, 0.01356646791100502, 0.04455222934484482, 0.0032253304962068796, -0.039783257991075516, ...
11
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def extract(self, real): version = real["version"].value if "metadata" in real: self.useMetadata(real["metadata"]) self.useRoot(real) self.format_version = "Real audio version %s" % version if version == 3: size = getValue(real, "data_size") elif "...
10,944
[ 0.0027614987920969725, -0.024568451568484306, -0.0003177945618517697, 0.0060685547068715096, 0.0044104293920099735, -0.017090030014514923, -0.03802960738539696, 0.01830374076962471, -0.026603562757372856, 0.01690613478422165, 0.0009018546552397311, 0.017126809805631638, -0.000525251787621527...
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def useRoot(self, real): self.bits_per_sample = 16 # FIXME: Is that correct? if real["version"].value != 3: self.sample_rate = real["sample_rate"].value self.nb_channel = real["channels"].value else: self.sample_rate = 8000 self.nb_channel = 1 ...
10,945
[ 0.05261903256177902, 0.04319300130009651, -0.0018310705199837685, -0.049237702041864395, 0.03344273194670677, 0.005963644944131374, -0.0023883527610450983, -0.04108545929193497, -0.018284650519490242, -0.021828098222613335, 0.01572549343109131, -0.012529443949460983, 0.016177110373973846, ...
13
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class RealMediaMetadata(MultipleMetadata): KEY_TO_ATTR = { "generated by": "producer", "creation date": "creation_date", "modification date": "last_modification", "description": "comment", } def extract(self, media): if "file_prop" in media: self.useFileP...
10,946
[ 0.06343255937099457, 0.017514102160930634, -0.017111610621213913, -0.045009974390268326, -0.010562509298324585, 0.03173927962779999, 0.00798081886023283, -0.03100329451262951, -0.0028260606341063976, -0.010976499877870083, 0.026334401220083237, 0.0005749869160354137, 0.028358355164527893, ...
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def useStreamProp(self, stream, index): meta = Metadata(self) meta.comment = "Start: %s" % stream["stream_start"].value if getValue(stream, "mime_type") == "logical-fileinfo": for prop in stream.array("file_info/prop"): self.useFileInfoProp(prop) else: ...
10,947
[ 0.020205970853567123, 0.026827482506632805, 0.0005197824793867767, -0.07301952689886093, 0.005566702224314213, -0.016096489503979683, 0.04528966546058655, 0.024766642600297928, -0.0333392433822155, 0.005609382409602404, 0.06623949110507965, 0.006008746102452278, -0.02504711225628853, 0.006...
12
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class MpegAudioMetadata(RootMetadata): TAG_TO_KEY = { # ID3 version 2.2 "TP1": "author", "COM": "comment", "TEN": "producer", "TRK": "track_number", "TAL": "album", "TT2": "title", "TYE": "creation_date", "TCO": "music_genre", # ID3 ve...
10,948
[ 0.026294786483049393, -0.0227288119494915, -0.04053589701652527, -0.06471160799264908, 0.0296670813113451, -0.04217647388577461, 0.03458881005644798, 0.02211359702050686, -0.0034264111891388893, 0.009233935736119747, 0.06452932208776474, 0.005457193590700626, -0.02807207591831684, 0.026021...
10
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def processID3v2(self, field): # Read value if "content" not in field: return content = field["content"] if "text" not in content: return if "title" in content and content["title"].value: value = "%s: %s" % (content["title"].value, content["tex...
10,949
[ 0.009003710933029652, -0.003626160090789199, -0.03883150964975357, -0.0854630321264267, 0.005154864862561226, 0.00724028330296278, 0.007294449955224991, -0.0003690106968861073, 0.008660654537379742, 0.010773156769573689, 0.06504819542169571, 0.012590750120580196, -0.013276861980557442, 0.0...
10
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def extract(self, mp3): if "/frames/frame[0]" in mp3: frame = mp3["/frames/frame[0]"] self.nb_channel = (frame.getNbChannel(), frame["channel_mode"].display) self.format_version = u"MPEG version %s layer %s" % \ (frame["version"].display, frame["layer"].displa...
10,950
[ 0.020361704751849174, 0.005504795350134373, -0.02458771876990795, -0.06287430971860886, -0.06787966936826706, -0.027968531474471092, 0.0251365527510643, 0.03606930747628212, 0.01617959700524807, -0.006185348145663738, 0.07262158393859863, 0.023029033094644547, -0.03222747519612312, -0.0276...
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": "mp3", "annotation": null, "type_comment": null}}], "kwarg": null,...
def computeVariableBitrate(self, mp3): if self.quality <= QUALITY_FAST: return count = 0 if QUALITY_BEST <= self.quality: self.warning("Process all MPEG audio frames to compute exact duration") max_count = None else: max_count = 500 * self....
10,951
[ 0.009438585489988327, -0.003359645139425993, 0.03885375335812569, -0.043017491698265076, 0.02221049927175045, -0.0006465635378845036, -0.012432733550667763, -0.004271924961358309, -0.01871342770755291, 0.006333325989544392, 0.007701745256781578, -0.05015198886394501, -0.034456100314855576, ...
12
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class AiffMetadata(RootMetadata): def extract(self, aiff): if "common" in aiff: self.useCommon(aiff["common"]) computeBitRate(self) @fault_tolerant def useCommon(self, info): self.nb_channel = info["nb_channel"].value self.bits_per_sample = info["sample_size"].va...
10,952
[ 0.03936685621738434, -0.029441120103001595, -0.0049180565401911736, -0.02368284948170185, 0.013196971267461777, -0.0015277903294190764, 0.020602062344551086, 0.0019016858423128724, -0.004789223428815603, 0.008430153131484985, 0.0009746489813551307, 0.016524221748113632, -0.016255352646112442...
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": "info", "annotation": null, "type_comment": null}}], "kwarg": null...
def useCommon(self, info): self.nb_channel = info["nb_channel"].value self.bits_per_sample = info["sample_size"].value self.sample_rate = getValue(info, "sample_rate") if self.has("sample_rate"): rate = self.get("sample_rate") if rate: sec = float(...
10,953
[ 0.042438384145498276, -0.032705001533031464, 0.010588482022285461, -0.027679959312081337, 0.0059118145145475864, 0.012615390121936798, 0.006624399218708277, -0.022612690925598145, -0.03487970679998398, 0.0187066700309515, 0.01965678296983242, 0.020955270156264305, -0.02114529348909855, 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": "info", "annotation": null, "type_comment": null}}], "kwarg": null...
def useStreamInfo(self, info): self.nb_channel = info["nb_channel"].value + 1 self.bits_per_sample = info["bits_per_sample"].value + 1 self.sample_rate = info["sample_hertz"].value sec = info["total_samples"].value if sec: sec = float(sec) / info["sample_hertz"].value...
10,954
[ 0.016621140763163567, 0.03823445737361908, -0.012235492467880249, -0.050901513546705246, 0.044742945581674576, 0.020738517865538597, -0.016912739723920822, -0.018848957493901253, -0.038607701659202576, 0.009546949528157711, 0.01613125391304493, -0.007284142076969147, -0.004811382852494717, ...
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": "flac", "annotation": n...
class FlacMetadata(RootMetadata): def extract(self, flac): if "metadata/stream_info/content" in flac: self.useStreamInfo(flac["metadata/stream_info/content"]) if "metadata/comment/content" in flac: readVorbisComment(self, flac["metadata/comment/content"]) @fault_tolerant...
10,955
[ 0.017016390338540077, 0.028087813407182693, 0.040257763117551804, -0.048249006271362305, -0.009030533954501152, -0.009138232097029686, -0.05436629056930542, -0.02500763162970543, 0.00019217481894884259, 0.02718314528465271, -0.026881588622927666, -0.03265423700213432, -0.015616307035088539, ...
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": "sigs_str", "annotation": null, "type_comment": null}}, {"_type": ...
def _parse_signatures(self, sigs_str, headers_str): sigs = [x.strip() for x in sigs_str.split(",") if x.strip()] headers = [x.strip() for x in headers_str.split(",") if x.strip()] if len(headers) == 1: headers = headers * len(sigs) if len(headers) != len(sigs): ra...
10,956
[ 0.027546469122171402, 0.04749986529350281, 0.003073901403695345, -0.013287882320582867, -0.006778761278837919, -0.009237882681190968, -0.030868440866470337, -0.02614433877170086, 0.0204926747828722, -0.01604899950325489, 0.0055653792805969715, -0.00625026598572731, -0.02914274111390114, -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": "name", "annotation": null, "type_comment": null}}, {"_type": "arg...
def __init__(self, name, signatures, headers): self.name = name self.signatures = self._parse_signatures(signatures, headers) self.doc = add_newdocs.get("scipy.special." + name) if self.doc is None: raise ValueError("No docstring for ufunc %r" % name) self.doc = textw...
10,957
[ 0.03686638921499252, 0.0017535198712721467, -0.017450254410505295, -0.047035593539476395, -0.05514182895421982, 0.017025524750351906, -0.033128783106803894, -0.05048195645213127, -0.000006020140062901191, 0.04800640046596527, 0.012183626182377338, -0.021903829649090767, 0.025240978226065636,...
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": "sig", "annotation": null, "type_comment": null}}], "kwarg": null,...
def _parse_signature(self, sig): m = re.match("\s*(.*):\s*([fdgFDGil]*)\s*\\*\s*([fdgFDGil]*)\s*->\s*([*fdgFDGil]*)\s*$", sig) if m: func, inarg, outarg, ret = [x.strip() for x in m.groups()] if ret.count('*') > 1: raise ValueError("%s: Invalid signature: %r" % (s...
10,958
[ 0.022998856380581856, 0.044162567704916, 0.00960470363497734, -0.07545531541109085, -0.031245077028870583, -0.004182693548500538, -0.016158781945705414, -0.09056544303894043, 0.012440831400454044, 0.03353304788470268, 0.01746959798038006, -0.02175953984260559, 0.015038629993796349, -0.0294...
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": "all_loops", "annotation": null, "type_comment": null}}], "kwarg":...
def _get_signatures_and_loops(self, all_loops): inarg_num = None outarg_num = None seen = set() variants = [] def add_variant(func_name, inarg, outarg, ret, inp, outp): if inp in seen: return seen.add(inp) sig = (func_name, i...
10,959
[ 0.047517020255327225, 0.031113486737012863, 0.004708757624030113, -0.052017103880643845, -0.025790806859731674, -0.004273265600204468, -0.05153322219848633, -0.0018553775735199451, 0.0028987438417971134, 0.04420244321227074, 0.016609182581305504, -0.03774264454841614, 0.04023462533950806, ...
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_prototypes(self): prototypes = [] for func_name, inarg, outarg, ret, header in self.signatures: ret = ret.replace('*', '') c_args = ([C_TYPES[x] for x in inarg] + [C_TYPES[x] + ' *' for x in outarg]) cy_args = ([CY_TYPES[x] for x in inarg...
10,960
[ 0.06570042669773102, 0.020168397575616837, -0.032124243676662445, 0.0059949373826384544, -0.006998819764703512, 0.049139201641082764, 0.0072653875686228275, -0.009494347497820854, 0.021200640127062798, -0.01056628953665495, 0.018693769350647926, -0.046121884137392044, 0.009817631915211678, ...
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": "c_name", "annotation": null, "type_comment": null}}, {"_type": "a...
def cython_func_name(self, c_name, specialized=False, prefix="_func_", override=True): # act on function name overrides if override and c_name in self.function_name_overrides: c_name = self.function_name_overrides[c_name] prefix = "" # support fu...
10,961
[ -0.03368399292230606, 0.0623246431350708, 0.008958877995610237, -0.043423667550086975, 0.026280919089913368, 0.03396160900592804, -0.02491597644984722, -0.025887630879878998, 0.028316764160990715, 0.051405105739831924, 0.0013063825899735093, -0.03898182138800621, 0.007241133600473404, 0.01...
10
{"_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": "ufunc_str", "annotation": null, "type_comment": null}}], "kwarg": ...
def parse_all(cls, ufunc_str): ufuncs = [] lines = ufunc_str.splitlines() lines.sort() for line in lines: line = line.strip() if not line: continue m = re.match("^([a-z0-9_]+)\s*--\s*(.*?)\s*--(.*)$", line) if not m: ...
10,962
[ 0.012933610938489437, 0.042698632925748825, 0.028018604964017868, -0.039155177772045135, -0.0034200670197606087, 0.0020390686113387346, -0.038927383720874786, -0.049886785447597504, 0.0510004423558712, 0.049456506967544556, 0.012465368956327438, -0.018122240900993347, 0.0015921819722279906, ...
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": "all_loops", "annotation": null, "type_comment": null}}], "kwarg":...
def generate(self, all_loops): toplevel = "" variants, inarg_num, outarg_num = self._get_signatures_and_loops(all_loops) loops = [] funcs = [] types = [] for func_name, loop_name, inputs, outputs in variants: for x in inputs: types.append(TY...
10,963
[ -0.014677038416266441, 0.00616912916302681, -0.034198690205812454, -0.05111904814839363, -0.05517611652612686, -0.029282480478286743, 0.008549672551453114, -0.08028220385313034, 0.019175609573721886, 0.04983033239841461, 0.01786302961409092, -0.034270286560058594, 0.040594540536403656, -0....
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "func_name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "inarg", "annotation": null, "type_comment": null}}, {"_type"...
def add_variant(func_name, inarg, outarg, ret, inp, outp): if inp in seen: return seen.add(inp) sig = (func_name, inp, outp) if "v" in outp: raise ValueError("%s: void signature %r" % (self.name, sig)) if len(inp) != inarg_num ...
10,964
[ 0.02198406122624874, 0.027548082172870636, 0.052079230546951294, -0.04715816304087639, 0.003536243923008442, -0.008506768383085728, 0.0026336361188441515, -0.03615376725792885, 0.04394339397549629, 0.0051127164624631405, 0.039937298744916916, -0.013118723407387733, 0.039244890213012695, -0...
13
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cxx_fn_prefix", "annotation": null, "type_comment": null}}, {...
def generate(filename, cxx_fn_prefix, ufuncs): proto_h_filename = os.path.splitext(filename)[0] + '_defs.h' cxx_proto_h_filename = cxx_fn_prefix + '_defs.h' cxx_pyx_filename = cxx_fn_prefix + ".pyx" cxx_pxd_filename = cxx_fn_prefix + ".pxd" toplevel = "" # for _ufuncs* defs = [] defs_...
10,965
[ -0.00933157280087471, -0.0012559493770822883, 0.038769979029893875, -0.03474162518978119, -0.03415949270129204, 0.0014167632907629013, -0.03697701171040535, -0.010070879943668842, 0.04244904965162277, 0.03120226413011551, 0.010856757871806622, -0.05183301493525505, 0.00933157280087471, 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 main(): p = optparse.OptionParser(usage=__doc__.strip()) options, args = p.parse_args() if len(args) != 0: p.error('invalid number of arguments') ufuncs = Ufunc.parse_all(UFUNCS) generate("_ufuncs.pyx", "_ufuncs_cxx", ufuncs)
10,966
[ -0.030717162415385246, 0.030507666990160942, 0.05294978991150856, -0.04082528129220009, -0.022036224603652954, -0.023830024525523186, -0.011116312816739082, -0.02956494130194187, -0.022494494915008545, 0.02676294930279255, 0.0094861825928092, -0.020281707867980003, -0.021028032526373863, -...
14
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "fname", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [...
def get_data(fname): site_names = ['NUCROPS', 'NOUT', 'NPRE', 'NBEGYR', 'NENDYR', 'APDEP'] site_names = [item.lower() for item in site_names] with open(fname, 'r') as f: site_name = list(islice(f, 1))[0].strip().lower() site_name = site_name[0].upper() + site_name[1:] try: ...
10,967
[ -0.007304976228624582, 0.05083788186311722, 0.06561412662267685, -0.02367287315428257, -0.015655217692255974, -0.013980417512357235, -0.0043057785369455814, -0.034351203590631485, -0.050220225006341934, -0.0008017656509764493, 0.0009658306953497231, -0.0020459871739149094, -0.053593579679727...
6
{"_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 main(): fname = 'noga.i' site_params, crop_params = get_data(fname) print(crop_params) print(site_params)
10,968
[ 0.011997964233160019, 0.027220945805311203, 0.007831377908587456, -0.051961109042167664, -0.020511558279395103, -0.030197883024811745, 0.034888818860054016, 0.004662742838263512, -0.06310207396745682, -0.02097388543188572, 0.009985147975385189, 0.015132770873606205, -0.00513070821762085, -...
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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs...
class my_install(install_data): def run(self): # Generating and installing .mo files check_call('po/update-mo.sh') for langdir in glob('mo/*'): lang = os.path.basename(langdir) src = os.path.join(langdir, 'LC_MESSAGES', 'live-magic.mo') dst = os.path.join(...
10,969
[ 0.013339090161025524, 0.030597839504480362, 0.023493457585573196, -0.0533563606441021, -0.024951081722974777, -0.03209220990538597, 0.0407644547522068, -0.004434114322066307, -0.05913785845041275, -0.02241555042564869, -0.00036325748078525066, 0.02582075446844101, -0.012353051453828812, -0...
14
{"_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): # Generating and installing .mo files check_call('po/update-mo.sh') for langdir in glob('mo/*'): lang = os.path.basename(langdir) src = os.path.join(langdir, 'LC_MESSAGES', 'live-magic.mo') dst = os.path.join('share', 'locale', lang, 'LC_MESSAGE...
10,970
[ 0.0017155276145786047, 0.046071745455265045, 0.05136682838201523, -0.0644913911819458, -0.030503295361995697, -0.009843423031270504, -0.004811397287994623, -0.04279060289263725, -0.030752209946513176, 0.05525893718004227, 0.010776850394904613, -0.012581477873027325, 0.012581477873027325, 0...
13
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def __init__(self, filename=None, lines=None, options=None, report=None, **kwargs): if options is None: options = StyleGuide(kwargs).options else: assert not kwargs self._io_error = None self._physical_checks = options.physical_checks self...
10,971
[ 0.009098393842577934, 0.020830677822232246, 0.045639511197805405, -0.03346460312604904, -0.013617536053061485, -0.014163986779749393, 0.01486344262957573, -0.024393532425165176, -0.026797913014888763, 0.07549754530191422, 0.021169476211071014, -0.020000074058771133, 0.00850822776556015, -0...
9
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def __init__(self, *args, **kwargs): # build options from the command line self.checker_class = kwargs.pop('checker_class', Checker) parse_argv = kwargs.pop('parse_argv', False) config_file = kwargs.pop('config_file', None) parser = kwargs.pop('parser', None) # build opti...
10,972
[ -0.02285686321556568, 0.011188946664333344, 0.019381549209356308, -0.04780782386660576, -0.03976559266448021, 0.024928683415055275, -0.015694599598646164, -0.00842094887048006, 0.007702495437115431, 0.039631929248571396, 0.020439738407731056, 0.00020589416089933366, 0.026666339486837387, 0...
8
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def get_parser(prog='pep8', version=__version__): parser = OptionParser(prog=prog, version=version, usage="%prog [options] input ...") parser.config_options = [ 'exclude', 'filename', 'select', 'ignore', 'max-line-length', 'hang-closing', 'count', 'format', 'quiet', 'sh...
10,973
[ -0.027703434228897095, 0.026719171553850174, 0.040930986404418945, 0.032504722476005554, -0.03922652825713158, -0.048709072172641754, 0.009548562578856945, -0.007333968300372362, -0.02849564701318741, 0.010640855878591537, -0.006595770362764597, 0.02083759196102619, -0.0315924771130085, -0...
8
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def world_error(labels, xyzw): xyzw = tf.transpose(xyzw, [0, 2, 1]) # [batch, 4, num_kp] # [batch, 4, num_kp] gt_world_coords = project(labels['to_world_L'], labels['keys_uvd_L'], True) sub = xyzw[:, :3, :] - gt_world_coords[:, :3, :] wd = tf.square(sub) wd = tf.reduce_sum(wd, axis=[-2]) # [batch, num_kp]...
10,974
[ -0.012666190974414349, 0.0190317090600729, 0.01876152493059635, -0.0014846570556983352, -0.045606933534145355, -0.009132194332778454, 0.022695394232869148, 0.0234519075602293, 0.009083561599254608, 0.06964243948459625, 0.008575616404414177, 0.0073597920127213, -0.021679503843188286, 0.0094...
11
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def adjust_proj_factor(step, loss_step, minf=0.0): if loss_step[1] == 0: return 1.0 step = tf.cast(step, tf.float32) return tf.maximum( minf, tf.minimum((step - loss_step[0]) / tf.cast(loss_step[1] - loss_step[0], tf.float32), 1.0))
10,975
[ 0.06530410051345825, 0.014375734142959118, 0.01848483830690384, -0.008058751933276653, -0.004498549737036228, 0.023268572986125946, -0.02429891563951969, 0.0015424474840983748, 0.02306004986166954, 0.026102015748620033, -0.008696583099663258, -0.020496459677815437, 0.028604276478290558, -0...
8
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def emit(self, sender=None, *args, **kwargs): retval = None if self._default_handler and self._flag is SIGNAL_RUN_FIRST: retval = self._default_handler(sender, *args, **kwargs) for cb, ckwargs in self._callbacks: kw = dict(ckwargs if ckwargs else {}) kw.upd...
10,976
[ 0.04250336065888405, 0.038785796612501144, -0.05143025144934654, -0.003483736654743552, 0.003980990499258041, 0.07510900497436523, -0.0391409806907177, -0.03947248309850693, -0.007879105396568775, -0.012159040197730064, -0.027183208614587784, -0.039448801428079605, 0.03999341279268265, -0....
13
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class SignaledObject(object): __signals__ = {} _signal_prefix = 'do_' def emit(self, name, *args, **kwargs): if name not in self._decl_signals: return [] else: return self._decl_signals[name].emit(self, *args, **kwargs) def connect(self, name, callback, **data):...
10,977
[ 0.03736235946416855, 0.050489675253629684, -0.03169374540448189, 0.0017269763629883528, 0.005984174087643623, 0.026461180299520493, -0.014733805321156979, -0.024946488440036774, -0.02083846554160118, 0.02827421762049198, -0.02776932157576084, -0.028388967737555504, 0.031533095985651016, -0...
12
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def __new__(cls, *args, **kwargs): self = object.__new__(cls) signals = {} # copy base __signals__ declarations declared = {} for base in reversed(cls.mro()): if hasattr(base, '__signals__'): declared.update(base.__signals__) declared.update(se...
10,978
[ 0.026243820786476135, 0.04940779134631157, 0.06762664020061493, 0.014336501248180866, 0.07474067062139511, 0.044896453619003296, 0.03225170448422432, -0.02459544874727726, -0.032099880278110504, -0.033509671688079834, 0.010025790892541409, -0.05339858680963516, 0.020170871168375015, -0.023...
13
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class Record(Base): __table__ = Table('records', Base.metadata, Column('id', UUID(as_uuid=True), server_default=text('uuid_generate_v4()'), primary_key=True, unique=True), Column('domain_id', ForeignKey('domains.id', onupdate='CASCADE', ondelete='CASCADE'), nullable=False, index=True), ...
10,979
[ 0.017629286274313927, 0.012374402955174446, -0.03693109378218651, -0.005421570502221584, 0.0007804632186889648, 0.04651419445872307, -0.01119911763817072, -0.012057979591190815, -0.015956765040755272, 0.006938706152141094, 0.0037207964342087507, -0.03620784357190132, -0.016408797353506088, ...
15
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class EntityNicsModule(BaseModule): def __init__(self, *args, **kwargs): super(EntityNicsModule, self).__init__(*args, **kwargs) self.vnic_id = None @property def vnic_id(self): return self._vnic_id @vnic_id.setter def vnic_id(self, vnic_id): self._vnic_id = vnic_i...
10,980
[ 0.026455122977495193, -0.006201869808137417, -0.04318682849407196, 0.005958204157650471, 0.011289839632809162, -0.013053514063358307, -0.0026353595312684774, -0.011632131412625313, 0.0020406993571668863, -0.00974082201719284, 0.017335066571831703, 0.015768645331263542, 0.019528057426214218, ...
14
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def build_entity(self): return otypes.Nic( id=self._module.params.get('id'), name=self._module.params.get('name'), interface=otypes.NicInterface( self._module.params.get('interface') ) if self._module.params.get('interface') else None, ...
10,981
[ -0.009187007322907448, 0.023308679461479187, -0.02343052439391613, 0.010180032812058926, -0.0000023143143152992707, 0.06004452332854271, 0.023503629490733147, 0.002621160354465246, 0.012525522150099277, 0.039550431072711945, -0.023004071786999702, -0.06160412356257439, 0.005208813585340977, ...
13
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def update_check(self, entity): if self._module.params.get('vm'): return ( equal(self._module.params.get('interface'), str(entity.interface)) and equal(self._module.params.get('linked'), entity.linked) and equal(self._module.params.get('name'), str(ent...
10,982
[ 0.007291113492101431, 0.03858834132552147, -0.048979420214891434, -0.03152042627334595, -0.02936285175383091, 0.037844352424144745, -0.0303796399384737, 0.014148232527077198, 0.023472921922802925, 0.045805055648088455, 0.0441930778324604, -0.02262973226606846, 0.0524761788547039, 0.0015383...
15
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def main(): argument_spec = ovirt_full_argument_spec( state=dict(type='str', default='present', choices=['absent', 'plugged', 'present', 'unplugged']), vm=dict(type='str'), id=dict(default=None), template=dict(type='str'), name=dict(type='str', required=True), interfa...
10,983
[ 0.021391594782471657, 0.004353320226073265, 0.04682672396302223, -0.0009953939588740468, -0.023009007796645164, -0.01540455687791109, 0.00133045285474509, 0.01972200721502304, 0.03336567059159279, -0.018743732944130898, 0.02362206019461155, -0.013063221238553524, 0.0023364447988569736, 0.0...
9
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def _prep_wrapped_messages(self, client_info): # Precompute the wrapped methods. self._wrapped_methods = { self.set_iam_policy: gapic_v1.method.wrap_method( self.set_iam_policy, default_timeout=30.0, client_info=client_info, ), ...
10,984
[ 0.01595897786319256, -0.004576815292239189, 0.04740961268544197, -0.029698185622692108, -0.007056531962007284, -0.03649769350886345, 0.02602972462773323, 0.025211913511157036, 0.003595443209633231, -0.002345362212508917, 0.017092229798436165, 0.0024578110314905643, -0.0014720580074936152, ...
9
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def setUp(self): self.data = [x.split("|")[:-1] for x in data.splitlines()] self.posix_data = [x.split("|")[:-1] for x in posix_data.splitlines()] for item in self.data: item[0] = item[0].replace(r"\n", "\n") for item in self.po...
10,985
[ 0.03775130212306976, -0.02429194003343582, -0.01634185016155243, -0.0049048797227442265, 0.023641055449843407, 0.015935048460960388, -0.028011281043291092, 0.04121493920683861, 0.03954123705625534, -0.002183659467846155, 0.012529526837170124, -0.008996154181659222, -0.010106144472956657, 0...
9
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def testQuote(self): safeunquoted = string.ascii_letters + string.digits + '@%_-+=:,./' unicode_sample = '\xe9\xe0\xdf' # e + acute accent, a + grave, sharp s unsafe = '"`$\\!' + unicode_sample self.assertEqual(shlex.quote(''), "''") self.assertEqual(shlex.quote(safeunquoted), ...
10,986
[ 0.01641729287803173, 0.0010446524247527122, 0.006413391791284084, -0.04254133999347687, -0.003547175321727991, -0.0273126307874918, -0.03449364751577377, 0.05447668954730034, -0.004138370975852013, 0.005788148380815983, 0.0013595958007499576, -0.06344058364629745, 0.008821508847177029, 0.0...
8
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def oldSplit(self, s): ret = [] lex = shlex.shlex(io.StringIO(s)) tok = lex.get_token() while tok: ret.append(tok) tok = lex.get_token() return ret
10,987
[ -0.011294838041067123, 0.010855350643396378, 0.030789263546466827, 0.03952879458665848, -0.040282201021909714, 0.0025082200299948454, 0.026745975017547607, 0.03425493836402893, -0.00011448266741354018, 0.001787773915566504, 0.014754235744476318, -0.0194504763931036, -0.05660603567957878, 0...
11
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class FloodProtectionMiddleware(PostingMiddleware): def interrupt_posting(self, form): now = timezone.now() if self.user.last_posted_on: previous_post = now - self.user.last_posted_on if previous_post.total_seconds() < MIN_POSTING_PAUSE: raise PostingInterrup...
10,988
[ -0.019813915714621544, -0.011641591787338257, 0.0035028608981519938, 0.02682574652135372, -0.015233016572892666, 0.00967485923320055, 0.05379807949066162, 0.0231610257178545, 0.002931775525212288, 0.016039256006479263, 0.025213269516825676, 0.012264594435691833, -0.030661486089229584, 0.00...
10
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def interrupt_posting(self, form): now = timezone.now() if self.user.last_posted_on: previous_post = now - self.user.last_posted_on if previous_post.total_seconds() < MIN_POSTING_PAUSE: raise PostingInterrupt(_("You can't post message so " ...
10,989
[ 0.022238219156861305, -0.01892254874110222, 0.03015781193971634, -0.004297699313610792, 0.036936983466148376, -0.0030754422768950462, 0.04832008108496666, 0.006525745149701834, -0.009360959753394127, -0.022681716829538345, 0.01444533932954073, -0.026947736740112305, 0.02074933610856533, -0...
12
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def bind_processor(self, dialect): datetime_datetime = datetime.datetime datetime_date = datetime.date format = self._storage_format def process(value): if value is None: return None elif isinstance(value, datetime_datetime): retur...
10,990
[ 0.009196490049362183, 0.04137662053108215, 0.03249864652752876, -0.018544653430581093, 0.011153082363307476, 0.03357047215104103, 0.04327759891748428, -0.019151348620653152, -0.034925427287817, 0.050921957939863205, 0.01231591496616602, -0.0002598994178697467, -0.01231591496616602, -0.0327...
8
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def __init__(self, *args, **kwargs): truncate_microseconds = kwargs.pop('truncate_microseconds', False) super(DATETIME, self).__init__(*args, **kwargs) if truncate_microseconds: assert 'storage_format' not in kwargs, "You can specify only "\ "one of truncate_microseco...
10,991
[ 0.019328013062477112, -0.01535044889897108, 0.024651072919368744, -0.007159614469856024, 0.040011342614889145, -0.00495722284540534, 0.033627599477767944, 0.000776484259404242, -0.023413609713315964, -0.03794890269637108, 0.007557370699942112, -0.029797352850437164, 0.014859392307698727, -...
11
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def bind_processor(self, dialect): datetime_date = datetime.date format = self._storage_format def process(value): if value is None: return None elif isinstance(value, datetime_date): return format % { 'year': value.yea...
10,992
[ 0.017322571948170662, -0.009893760085105896, 0.00838955957442522, -0.035343870520591736, 0.029443521052598953, -0.015740735456347466, 0.028298387303948402, -0.002382460283115506, 0.008573945611715317, 0.018331842496991158, 0.01390658039599657, -0.014741169288754463, 0.028764205053448677, -...
11
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [...
def process(value): if value is None: return None elif isinstance(value, datetime_datetime): return format % { 'year': value.year, 'month': value.month, 'day': value.day, 'hour': value...
10,993
[ 0.01871197298169136, -0.006131783127784729, 0.009917880408465862, -0.036086101084947586, 0.03778070583939552, -0.02516929805278778, 0.024027671664953232, -0.0035006909165531397, -0.0056769163347780704, 0.0075320596806705, 0.015215741470456123, -0.016063041985034943, 0.026917414739727974, -...
10
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def process(value): if value is None: return None elif isinstance(value, datetime_date): return format % { 'year': value.year, 'month': value.month, 'day': value.day, } else: ...
10,994
[ -0.0062987953424453735, 0.044139083474874496, 0.01892278529703617, -0.025089586153626442, 0.023716839030385017, 0.01605057716369629, 0.05545896664261818, 0.004936608020216227, -0.03602932021021843, 0.04641995579004288, -0.0062090386636555195, -0.006879572756588459, -0.017993541434407234, -...
8
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def __init__(self, *args, **kwargs): truncate_microseconds = kwargs.pop('truncate_microseconds', False) super(TIME, self).__init__(*args, **kwargs) if truncate_microseconds: assert 'storage_format' not in kwargs, "You can specify only "\ "one of truncate_microseconds ...
10,995
[ 0.026959897950291634, -0.011827895417809486, 0.009831241331994534, -0.003331979736685753, 0.030041029676795006, -0.009679211303591728, 0.04033849388360977, 0.0053565059788525105, -0.011199505999684334, -0.042892590165138245, 0.0069173420779407024, -0.021993601694703102, 0.022703072056174278,...
11
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def bind_processor(self, dialect): datetime_time = datetime.time format = self._storage_format def process(value): if value is None: return None elif isinstance(value, datetime_time): return format % { 'hour': value.hou...
10,996
[ 0.022692762315273285, -0.0022295776288956404, -0.010358534753322601, -0.035876352339982986, 0.015999412164092064, -0.028601372614502907, 0.025610139593482018, -0.009075257927179337, 0.015676286071538925, -0.0024072977248579264, 0.01690416969358921, -0.006185577716678381, 0.030743245035409927...
10
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [...
def process(value): if value is None: return None elif isinstance(value, datetime_time): return format % { 'hour': value.hour, 'minute': value.minute, 'second': value.second, 'microsec...
10,997
[ 0.051936712116003036, -0.0011941330740228295, 0.03327709808945656, -0.050902675837278366, -0.009506063535809517, 0.04693104699254036, 0.009347433224320412, -0.07750555127859116, -0.045426998287439346, 0.02899995632469654, 0.00992907676845789, -0.061854038387537, 0.06617818027734756, 0.0048...
12
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extract_map", "value": {"_type": "Attribute", "_fields": {"ctx": {"_typ...
class SQLiteCompiler(compiler.SQLCompiler): extract_map = util.update_copy( compiler.SQLCompiler.extract_map, { 'month': '%m', 'day': '%d', 'year': '%Y', 'second': '%S', 'hour': '%H', 'doy': '%j', 'minute': '%M', ...
10,998
[ 0.006597783416509628, 0.02053374983370304, -0.04060680419206619, -0.03194138780236244, 0.003106936113908887, 0.018449662253260612, -0.07090286165475845, -0.026149816811084747, -0.002783354138955474, 0.013491726480424404, -0.0019743989687412977, -0.03795233741402626, 0.056774940341711044, -...
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": "extract", "annotation": null, "type_comment": null}}], "kwarg": {...
def visit_extract(self, extract, **kw): try: return "CAST(STRFTIME('%s', %s) AS INTEGER)" % ( self.extract_map[extract.field], self.process(extract.expr, **kw) ) except KeyError: raise exc.CompileError( "%s is not a vali...
10,999
[ 0.05006545037031174, 0.022447342053055763, 0.060185059905052185, -0.0003299345844425261, -0.009703509509563446, 0.010408109985291958, -0.009525972418487072, -0.026497405022382736, -0.037349358201026917, 0.05468141287565231, 0.0177204180508852, -0.02587602660059929, -0.024566689506173134, 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": "select", "annotation": null, "type_comment": null}}], "kwarg": {"...
def limit_clause(self, select, **kw): text = "" if select._limit_clause is not None: text += "\n LIMIT " + self.process(select._limit_clause, **kw) if select._offset_clause is not None: if select._limit_clause is None: text += "\n LIMIT " + self.process(sq...
11,000
[ 0.06540727615356445, 0.014416753314435482, 0.03995760530233383, -0.0373842716217041, -0.01697995699942112, -0.013920322991907597, 0.028083795681595802, -0.04850837215781212, -0.023443687707185745, 0.005638034548610449, -0.02307896316051483, -0.038397397845983505, 0.026665421202778816, 0.00...
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": "column", "annotation": null, "type_comment": null}}], "kwarg": {"...
def get_column_specification(self, column, **kwargs): coltype = self.dialect.type_compiler.process( column.type, type_expression=column) colspec = self.preparer.format_column(column) + " " + coltype default = self.get_column_default_string(column) if default is not None: ...