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train · 13.6M rows

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id int64 0 10.8M	vector listlengths 1.54k 1.54k	ast_depth int64 3 164	ast_data stringlengths 297 510k	code stringlengths 60 56.5k
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0.9751, 0.946]), array([0.798, 0.569, 0.967, 0.657, 0.898, 0.931, 0.685, 0.625, 0.875, 1.0, 0.962, 0.669, 0.975, 0.970])] #From "Bioestadistica para las ciencias de la salud" Xf=18.95 p<0.001: x2 = [array([4,3,5,3,5,3,2,5,4,4,4,3]), array([2,2,1,2,3,1,2,3,2,1,1,3]), array([2,4,3,3,4,3,3,4,4,1,2,1]), array([3,5,4,3,4,4,3,3,3,4,4,4])] #From Jerrorl H. Zar, "Biostatistical Analysis"(example 12.6), Xf=10.68, 0.005 < p < 0.01: #Probability from this example is inexact using Chisquare aproximation of Friedman Chisquare. x3 = [array([7.0,9.9,8.5,5.1,10.3]), array([5.3,5.7,4.7,3.5,7.7]), array([4.9,7.6,5.5,2.8,8.4]), array([8.8,8.9,8.1,3.3,9.1])] assert_array_almost_equal(stats.friedmanchisquare(x1[0],x1[1],x1[2],x1[3]),(10.2283464566929, 0.0167215803284414)) assert_array_almost_equal(stats.friedmanchisquare(x2[0],x2[1],x2[2],x2[3]),(18.9428571428571, 0.000280938375189499)) assert_array_almost_equal(stats.friedmanchisquare(x3[0],x3[1],x3[2],x3[3]),(10.68, 0.0135882729582176)) np.testing.assert_raises(ValueError, stats.friedmanchisquare,x3[0],x3[1]) # test using mstats assert_array_almost_equal(stats.mstats.friedmanchisquare(x1[0],x1[1],x1[2],x1[3]),(10.2283464566929, 0.0167215803284414)) # the following fails #assert_array_almost_equal(stats.mstats.friedmanchisquare(x2[0],x2[1],x2[2],x2[3]),(18.9428571428571, 0.000280938375189499)) assert_array_almost_equal(stats.mstats.friedmanchisquare(x3[0],x3[1],x3[2],x3[3]),(10.68, 0.0135882729582176)) np.testing.assert_raises(ValueError,stats.mstats.friedmanchisquare,x3[0],x3[1])
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[]}}	def test_kstest(): #from numpy.testing import assert_almost_equal # comparing with values from R x = np.linspace(-1,1,9) D,p = stats.kstest(x,'norm') assert_almost_equal( D, 0.15865525393145705, 12) assert_almost_equal( p, 0.95164069201518386, 1) x = np.linspace(-15,15,9) D,p = stats.kstest(x,'norm') assert_almost_equal( D, 0.44435602715924361, 15) assert_almost_equal( p, 0.038850140086788665, 8) # the following tests rely on deterministicaly replicated rvs np.random.seed(987654321) x = stats.norm.rvs(loc=0.2, size=100) D,p = stats.kstest(x, 'norm', mode='asymp') assert_almost_equal( D, 0.12464329735846891, 15) assert_almost_equal( p, 0.089444888711820769, 15) assert_almost_equal( np.array(stats.kstest(x, 'norm', mode='asymp')), np.array((0.12464329735846891, 0.089444888711820769)), 15) assert_almost_equal( np.array(stats.kstest(x,'norm', alternative = 'less')), np.array((0.12464329735846891, 0.040989164077641749)), 15) # this 'greater' test fails with precision of decimal=14 assert_almost_equal( np.array(stats.kstest(x,'norm', alternative = 'greater')), np.array((0.0072115233216310994, 0.98531158590396228)), 12)
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assert_almost_equal(np.array(stats.ks_2samp(data1-0.01,data2)), np.array((0.66666666666666674, 0.42490954988801982))) #these can also be verified graphically assert_almost_equal( np.array(stats.ks_2samp(np.linspace(1,100,100), np.linspace(1,100,100)+2+0.1)), np.array((0.030000000000000027, 0.99999999996005062))) assert_almost_equal( np.array(stats.ks_2samp(np.linspace(1,100,100), np.linspace(1,100,100)+2-0.1)), np.array((0.020000000000000018, 0.99999999999999933))) #these are just regression tests assert_almost_equal( np.array(stats.ks_2samp(np.linspace(1,100,100), np.linspace(1,100,110)+20.1)), np.array((0.21090909090909091, 0.015880386730710221))) assert_almost_equal( np.array(stats.ks_2samp(np.linspace(1,100,100), np.linspace(1,100,110)+20-0.1)), np.array((0.20818181818181825, 0.017981441789762638)))
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{"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nan", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "orelse": [], "handlers": [], "finalbody": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seterr", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "olderr", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}], "name": "test_ttest_rel", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_ttest_rel(): #regression test tr,pr = 0.81248591389165692, 0.41846234511362157 tpr = ([tr,-tr],[pr,pr]) rvs1 = np.linspace(1,100,100) rvs2 = np.linspace(1.01,99.989,100) rvs1_2D = np.array([np.linspace(1,100,100), np.linspace(1.01,99.989,100)]) rvs2_2D = np.array([np.linspace(1.01,99.989,100), np.linspace(1,100,100)]) t,p = stats.ttest_rel(rvs1, rvs2, axis=0) assert_array_almost_equal([t,p],(tr,pr)) t,p = stats.ttest_rel(rvs1_2D.T, rvs2_2D.T, axis=0) assert_array_almost_equal([t,p],tpr) t,p = stats.ttest_rel(rvs1_2D, rvs2_2D, axis=1) assert_array_almost_equal([t,p],tpr) #test on 3 dimensions rvs1_3D = np.dstack([rvs1_2D,rvs1_2D,rvs1_2D]) rvs2_3D = np.dstack([rvs2_2D,rvs2_2D,rvs2_2D]) t,p = stats.ttest_rel(rvs1_3D, rvs2_3D, axis=1) assert_array_almost_equal(np.abs(t), tr) assert_array_almost_equal(np.abs(p), pr) assert_equal(t.shape, (2, 3)) t,p = stats.ttest_rel(np.rollaxis(rvs1_3D,2), np.rollaxis(rvs2_3D,2), axis=2) assert_array_almost_equal(np.abs(t), tr) assert_array_almost_equal(np.abs(p), pr) assert_equal(t.shape, (3, 2)) olderr = np.seterr(all='ignore') try: #test zero division problem t,p = stats.ttest_rel([0,0,0],[1,1,1]) assert_equal((np.abs(t),p), (np.inf, 0)) assert_almost_equal(stats.ttest_rel([0,0,0], [0,0,0]), (1.0, 0.42264973081037421)) #check that nan in input array result in nan output anan = np.array([[1,np.nan],[-1,1]]) assert_equal(stats.ttest_ind(anan, np.zeros((2,2))),([0, np.nan], [1,np.nan])) finally: np.seterr(**olderr)
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stats.ttest_1samp(rvn1[:,:,:], np.ones((n1,n3)),axis=1) t2,p2 = stats.ttest_1samp(rvn1[:,:,:], 1,axis=1) t3,p3 = stats.ttest_1samp(rvn1[0,:,0], 1) assert_array_almost_equal(t1,t2, decimal=14) assert_almost_equal(t1[0,0],t3, decimal=14) assert_equal(t1.shape, (n1,n3)) t1,p1 = stats.ttest_1samp(rvn1[:,:,:], np.ones((n1,n2)),axis=2) t2,p2 = stats.ttest_1samp(rvn1[:,:,:], 1,axis=2) t3,p3 = stats.ttest_1samp(rvn1[0,0,:], 1) assert_array_almost_equal(t1,t2, decimal=14) assert_almost_equal(t1[0,0],t3, decimal=14) assert_equal(t1.shape, (n1,n2)) olderr = np.seterr(all='ignore') try: #test zero division problem t,p = stats.ttest_1samp([0,0,0], 1) assert_equal((np.abs(t),p), (np.inf, 0)) assert_almost_equal(stats.ttest_1samp([0,0,0], 0), (1.0, 0.42264973081037421)) #check that nan in input array result in nan output anan = np.array([[1,np.nan],[-1,1]]) assert_equal(stats.ttest_1samp(anan, 0),([0, np.nan], [1,np.nan])) finally: np.seterr(**olderr)
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1.0912746897927283 pr = 0.27647818616351882 tpr = ([tr,-tr],[pr,pr]) rvs2 = np.linspace(1,100,100) rvs1 = np.linspace(5,105,100) rvs1_2D = np.array([rvs1, rvs2]) rvs2_2D = np.array([rvs2, rvs1]) t,p = stats.ttest_ind(rvs1, rvs2, axis=0) assert_array_almost_equal([t,p],(tr,pr)) t,p = stats.ttest_ind(rvs1_2D.T, rvs2_2D.T, axis=0) assert_array_almost_equal([t,p],tpr) t,p = stats.ttest_ind(rvs1_2D, rvs2_2D, axis=1) assert_array_almost_equal([t,p],tpr) #test on 3 dimensions rvs1_3D = np.dstack([rvs1_2D,rvs1_2D,rvs1_2D]) rvs2_3D = np.dstack([rvs2_2D,rvs2_2D,rvs2_2D]) t,p = stats.ttest_ind(rvs1_3D, rvs2_3D, axis=1) assert_almost_equal(np.abs(t), np.abs(tr)) assert_array_almost_equal(np.abs(p), pr) assert_equal(t.shape, (2, 3)) t,p = stats.ttest_ind(np.rollaxis(rvs1_3D,2), np.rollaxis(rvs2_3D,2), axis=2) assert_array_almost_equal(np.abs(t), np.abs(tr)) assert_array_almost_equal(np.abs(p), pr) assert_equal(t.shape, (3, 2)) olderr = np.seterr(all='ignore') try: #test zero division problem t,p = stats.ttest_ind([0,0,0],[1,1,1]) assert_equal((np.abs(t),p), (np.inf, 0)) assert_almost_equal(stats.ttest_ind([0,0,0], [0,0,0]), (1.0, 0.37390096630005898)) #check that nan in input array result in nan output anan = np.array([[1,np.nan],[-1,1]]) assert_equal(stats.ttest_ind(anan, np.zeros((2,2))),([0, np.nan], [1,np.nan])) finally: np.seterr(**olderr)
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{"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pv_kurt", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}}}}}], "name": "test_normalitytests", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_normalitytests(): # numbers verified with R: dagoTest in package fBasics st_normal, st_skew, st_kurt = (3.92371918, 1.98078826, -0.01403734) pv_normal, pv_skew, pv_kurt = (0.14059673, 0.04761502, 0.98880019) x = np.array((-2,-1,0,1,2,3)4)*2 yield assert_array_almost_equal, stats.normaltest(x), (st_normal, pv_normal) yield assert_array_almost_equal, stats.skewtest(x), (st_skew, pv_skew) yield assert_array_almost_equal, stats.kurtosistest(x), (st_kurt, pv_kurt)
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{"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "decimal", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 13}}}}]}}}}], "name": "test_describe", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_describe(): x = np.vstack((np.ones((3,4)),2np.ones((2,4)))) nc, mmc = (5, ([ 1., 1., 1., 1.], [ 2., 2., 2., 2.])) mc = np.array([ 1.4, 1.4, 1.4, 1.4]) vc = np.array([ 0.3, 0.3, 0.3, 0.3]) skc = [0.40824829046386357]4 kurtc = [-1.833333333333333]*4 n, mm, m, v, sk, kurt = stats.describe(x) assert_equal(n, nc) assert_equal(mm, mmc) assert_equal(m, mc) assert_equal(v, vc) assert_array_almost_equal(sk, skc, decimal=13) #not sure about precision assert_array_almost_equal(kurt, kurtc, decimal=13) n, mm, m, v, sk, kurt = stats.describe(x.T, axis=1) assert_equal(n, nc) assert_equal(mm, mmc) assert_equal(m, mc) assert_equal(v, vc) assert_array_almost_equal(sk, skc, decimal=13) #not sure about precision assert_array_almost_equal(kurt, kurtc, decimal=13)
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2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1., 2., 1., 1., 2., 1., 1., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 3., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) y = np.array([ 1., 1., 1., 1., 1., 1., 1., 2., 1., 2., 1., 1., 1., 1., 2., 1., 1., 1., 2., 1., 1., 1., 1., 1., 2., 1., 1., 3., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 2., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1., 1., 2., 2., 1., 1., 2., 1., 1., 2., 1., 2., 1., 1., 1., 1., 2., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 1., 1., 2., 2., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 2., 1., 1., 1., 1., 2., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 2., 1., 1., 1., 2., 1., 1., 1., 1., 1., 1.]) #p-value verified with matlab and R to 5 significant digits assert_array_almost_equal(stats.stats.mannwhitneyu(x,y), (16980.5, 2.8214327656317373e-005), decimal=12)
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[]}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.000000000000000000000005832038785734365}}], "func": {"_type": "Name", "_fields": {"id": "assert_approx_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "significant", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 12}}}}, {"_type": "keyword", "_fields": {"arg": "err_msg", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "fail forp=%f"}}, "right": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}], "name": "test_binomtest", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_binomtest(): # precision tests compared to R for ticket:986 pp = np.concatenate(( np.linspace(0.1,0.2,5), np.linspace(0.45,0.65,5), np.linspace(0.85,0.95,5))) n = 501 x = 450 results = 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"_fields": {"kind": null, "value": 2.5}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_trim_mean", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Test_Trim", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class Test_Trim(object): # test trim functions def test_trim1(self): a = np.arange(11) assert_equal(stats.trim1(a, 0.1), np.arange(10)) assert_equal(stats.trim1(a, 0.2), np.arange(9)) assert_equal(stats.trim1(a, 0.2, tail='left'), np.arange(2,11)) assert_equal(stats.trim1(a, 3/11., tail='left'), np.arange(3,11)) def test_trimboth(self): a = np.arange(11) assert_equal(stats.trimboth(a, 3/11.), np.arange(3,8)) assert_equal(stats.trimboth(a, 0.2), np.array([2, 3, 4, 5, 6, 7, 8])) assert_equal(stats.trimboth(np.arange(24).reshape(6,4), 0.2), np.arange(4,20).reshape(4,4)) assert_equal(stats.trimboth(np.arange(24).reshape(4,6).T, 2/6.), np.array([[ 2, 8, 14, 20],[ 3, 9, 15, 21]])) assert_raises(ValueError, stats.trimboth, np.arange(24).reshape(4,6).T, 4/6.) def test_trim_mean(self): assert_equal(stats.trim_mean(np.arange(24).reshape(4,6).T, 2/6.), np.array([ 2.5, 8.5, 14.5, 20.5])) assert_equal(stats.trim_mean(np.arange(24).reshape(4,6), 2/6.), np.array([ 9., 10., 11., 12., 13., 14.])) assert_equal(stats.trim_mean(np.arange(24), 2/6.), 11.5) assert_equal(stats.trim_mean([5,4,3,1,2,0], 2/6.), 2.5)
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"_fields": {"id": "upp", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mean", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "fact", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "std", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 9.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 10.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 11}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "linspace", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_sigmaclip3", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestSigamClip", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class TestSigamClip(object): def test_sigmaclip1(self): a = np.concatenate((np.linspace(9.5,10.5,31),np.linspace(0,20,5))) fact = 4 #default c, low, upp = stats.sigmaclip(a) assert_(c.min()>low) assert_(c.max()<upp) assert_equal(low, c.mean() - factc.std()) assert_equal(upp, c.mean() + factc.std()) assert_equal(c.size, a.size) def test_sigmaclip2(self): a = np.concatenate((np.linspace(9.5,10.5,31),np.linspace(0,20,5))) fact = 1.5 c, low, upp = stats.sigmaclip(a, fact, fact) assert_(c.min()>low) assert_(c.max()<upp) assert_equal(low, c.mean() - factc.std()) assert_equal(upp, c.mean() + factc.std()) assert_equal(c.size, 4) assert_equal(a.size, 36) #check original array unchanged def test_sigmaclip3(self): a = np.concatenate((np.linspace(9.5,10.5,11),np.linspace(-100,-50,3))) fact = 1.8 c, low, upp = stats.sigmaclip(a, fact, fact) assert_(c.min()>low) assert_(c.max()<upp) assert_equal(low, c.mean() - factc.std()) assert_equal(upp, c.mean() + factc.std()) assert_equal(c, np.linspace(9.5,10.5,11))
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"ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "trimboth", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "T", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "reshape", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 24}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "arange", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 6.0}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_trimboth", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_trimboth(self): a = np.arange(11) assert_equal(stats.trimboth(a, 3/11.), np.arange(3,8)) assert_equal(stats.trimboth(a, 0.2), np.array([2, 3, 4, 5, 6, 7, 8])) assert_equal(stats.trimboth(np.arange(24).reshape(6,4), 0.2), np.arange(4,20).reshape(4,4)) assert_equal(stats.trimboth(np.arange(24).reshape(4,6).T, 2/6.), np.array([[ 2, 8, 14, 20],[ 3, 9, 15, 21]])) assert_raises(ValueError, stats.trimboth, np.arange(24).reshape(4,6).T, 4/6.)
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"_fields": {"id": "fact", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "std", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "size", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "size", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_sigmaclip1", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sigmaclip1(self): a = np.concatenate((np.linspace(9.5,10.5,31),np.linspace(0,20,5))) fact = 4 #default c, low, upp = stats.sigmaclip(a) assert_(c.min()>low) assert_(c.max()<upp) assert_equal(low, c.mean() - factc.std()) assert_equal(upp, c.mean() + factc.std()) assert_equal(c.size, a.size)
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"_fields": {}}}}, {"_type": "Name", "_fields": {"id": "low", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "upp", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "min", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "low", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", 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"right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "fact", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "std", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "upp", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mean", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "fact", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "std", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "size", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "size", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 36}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_sigmaclip2", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sigmaclip2(self): a = np.concatenate((np.linspace(9.5,10.5,31),np.linspace(0,20,5))) fact = 1.5 c, low, upp = stats.sigmaclip(a, fact, fact) assert_(c.min()>low) assert_(c.max()<upp) assert_equal(low, c.mean() - factc.std()) assert_equal(upp, c.mean() + factc.std()) assert_equal(c.size, 4) assert_equal(a.size, 36)
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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Name", "_fields": {"id": "MaybeDefected", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "raise_if", "value": {"_type": "Name", "_fields": {"id": "raise_if", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "st_size", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fileno", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "fstat", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "size", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Header", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "header", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Directory", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "directory", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "directory", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "lazy", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def __init__(self, name, raise_if=ErrorDefect, lazy=False): super(CfbIO, self).__init__(name, mode='rb') MaybeDefected.__init__(self, raise_if=raise_if) self.size = fstat(self.fileno()).st_size self.header = Header(self) self.directory = Directory(self) if not lazy: self.directory.read()
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"_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 9.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 10.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 11}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "linspace", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_sigmaclip3", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sigmaclip3(self): a = np.concatenate((np.linspace(9.5,10.5,11),np.linspace(-100,-50,3))) fact = 1.8 c, low, upp = stats.sigmaclip(a, fact, fact) assert_(c.min()>low) assert_(c.max()<upp) assert_equal(low, c.mean() - factc.std()) assert_equal(upp, c.mean() + factc.std()) assert_equal(c, np.linspace(9.5,10.5,11))
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"orelse": []}}], "name": "Layout", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def Layout(self, request, response): client_id = request.REQ.get("client_id") container = request.REQ.get("aff4_path", "") if container: self.container = rdfvalue.RDFURN(container) self.hash_dict = dict( container=self.container, main="TimelineMain", c=client_id, reason=request.token.reason) self.hash = urllib.urlencode(sorted(self.hash_dict.items())) return super(TimelineViewRenderer, self).Layout(request, response)
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"type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pool_block", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_pool_block", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pool_connections", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pool_maxsize", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "init_poolmanager", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "block", "value": {"_type": "Name", "_fields": {"id": "pool_block", 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325	[ 0.008870616555213928, 0.008664077147841454, 0.08998776972293854, -0.06516063958406448, 0.008155670948326588, 0.027792833745479584, -0.011004860512912273, -0.012953747995197773, -0.01215936429798603, -0.010395833291113377, -0.0026532411575317383, 0.002189850667491555, 0.01458488218486309, -...	14	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "data", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "dates", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "output_file_name", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": 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Creates a subset for each day subs = subs.reset_index(drop=True) # Resets pandas dataframe indexe if len(subs) > 1: result.append(int(dates.Fecha[i][3:5]) * 31 + int(dates.Fecha[i][0:2])) # Finds coded dates data.reset_index(drop=True) writer = pandas.ExcelWriter(output_file_name, engine='xlsxwriter') # Writes data into xlsx format data.to_excel(writer, sheet_name='Hoja1', index=False) return result
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There is no inconsistency found.") else: logger.info("Consistency of users to projects' check is done. There are {} inconsistency found.".format(count)) return no_creator, creator_ref, contrib_ref
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"_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}], "name": null, "type": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "finalbody": []}}], "name": "_print_help", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _print_help(what, name): try: if what == 'lexer': cls = get_lexer_by_name(name) print("Help on the %s lexer:" % cls.name) print(dedent(cls.__doc__)) elif what == 'formatter': cls = find_formatter_class(name) print("Help on the %s formatter:" % cls.name) print(dedent(cls.__doc__)) elif what == 'filter': cls = find_filter_class(name) print("Help on the %s filter:" % name) print(dedent(cls.__doc__)) return 0 except (AttributeError, ValueError): print("%s not found!" % what, file=sys.stderr) return 1
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332	[ -0.012954720295965672, 0.015106170438230038, 0.007714156061410904, -0.012321940623223782, 0.05775550380349159, -0.00365573912858963, -0.00895095244050026, -0.007829206995666027, 0.023182736709713936, -0.0012864117743447423, 0.00476597947999835, -0.04790715500712395, 0.017706317827105522, 0...	11	{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "login", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "send", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pulp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertPulpOK", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_login", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_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": []}}, "body": [{"_type": "With", "_fields": {"body": [{"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "request", "value": {"_type": "Name", "_fields": {"id": "login", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "send", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wrong_pulp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "asserting", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wrong_pulp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AssertionError", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_wrong_login", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "SimpleTestLogin", "bases": [{"_type": "Name", "_fields": {"id": "TestLogin", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class SimpleTestLogin(TestLogin): def test_login(self): self.pulp.send(login.request()) self.assertPulpOK() def test_wrong_login(self): with self.assertRaises(AssertionError): with self.wrong_pulp.asserting(True): self.wrong_pulp.send(login.request())
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[]}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "iterable", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "attr", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", 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[{"_type": "Name", "_fields": {"id": "attrInOther", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "getattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "getattr", "ctx": 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"_fields": {"id": "getattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "{}={}"}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_attrs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ", "}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": 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def merge(self, other): if not type(other) is type(self): return False for attr in self._attrs: attrInOther = getattr(other, attr) if len(attrInOther) > 0: if len(getattr(self, attr)) > 0: getattr(self, attr).update(getattr(other, attr)) else: setattr(self, attr, attrInOther) # transfer renamings to modified and added for ( old, new ) in self.renamed: if old in self.modified: self.modified.add(new) self.modified.remove(old) return True def __str__(self): return "RealFileEvent({})".format(", ".join(("{}={}".format(attr, getattr(self, attr)) for attr in self._attrs)))
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{"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "new", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "modified", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "old", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "remove", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "modified", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": 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"_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "any", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "name": "_ensureLoaded", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _ensureLoaded(self, params): # note that __contains__ (p not in self) ensures that p is either int or url ids = [p for p in params if isinstance(p, int) and p not in self] urls = [] for p in params: if isinstance(p, URL) and p not in self: id = db.idFromUrl(p) if id is not None: ids.append(id) else: urls.append(p) if len(ids) > 0: # this will silently ignore ids which are not found in the DB self.loadFromDb(ids) if len(urls) > 0: self.loadFromUrls(urls) if any(p not in self for p in params): # This means that an element could not be loaded (e.g. params contains the id of a new container # which only exists on the editor level). raise levels.ElementGetError(self, [p for p in params if p not in self])
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{"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "isFile", "value": {"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "elements", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "clear", "value": {"_type": "Name", "_fields": {"id": "stack", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "fromDisk", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "name": "deleteElements", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def deleteElements(self, elements, fromDisk=False): elements = tuple(elements) stack.beginMacro("delete elements") # 1st step: isolate the elements (remove contents & parents) for element in elements: if element.isContainer() and len(element.contents) > 0: self.removeContents(element, element.contents.positions) if len(element.parents) > 0: for parentId in element.parents: parent = self.collect(parentId) self.removeContents(parent, parent.contents.positionsOf(id=element.id)) self.removeFromDb([element for element in elements if element.isInDb()]) stack.endMacro() if fromDisk: for element in elements: if element.isFile(): element.url.backendFile().delete() stack.clear()
338	[ 0.05485851317644119, 0.0252991933375597, 0.023492997512221336, 0.02633308432996273, -0.00635593943297863, 0.0493527315557003, 0.010743748396635056, -0.03607408329844475, -0.013764454983174801, 0.03826643154025078, 0.040184732526540756, 0.010612955316901207, 0.04790777713060379, 0.021923474...	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": "changes", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Elements on real must be added to the DB before adding tags."}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ConsistencyError", "value": {"_type": "Name", "_fields": {"id": "levels", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "isInDb", "value": {"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "keys", "value": {"_type": "Name", "_fields": {"id": "changes", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "all", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "el", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "flag", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "changes", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "el", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "diff", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}, {"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getRemovals", "value": {"_type": "Name", "_fields": {"id": "diff", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "flag", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "dbRemovals", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "DELETE FROM {p}flags WHERE element_id = ? AND flag_id = ?"}}, {"_type": "Name", "_fields": {"id": "dbRemovals", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "multiQuery", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dbRemovals", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "el", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "flag", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "changes", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "el", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "diff", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "is_async": 0}}, {"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getAdditions", "value": {"_type": "Name", "_fields": {"id": "diff", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "flag", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "dbAdditions", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "INSERT INTO {p}flags (element_id, flag_id) VALUES(?,?)"}}, {"_type": "Name", "_fields": {"id": "dbAdditions", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "multiQuery", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dbAdditions", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transaction", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "changes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_changeFlags", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "_changeFlags", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _changeFlags(self, changes): if not all(element.isInDb() for element in changes.keys()): raise levels.ConsistencyError("Elements on real must be added to the DB before adding tags.") with db.transaction(): dbRemovals = [(el.id, flag.id) for el, diff in changes.items() for flag in diff.getRemovals()] if len(dbRemovals): db.multiQuery("DELETE FROM {p}flags WHERE element_id = ? AND flag_id = ?", dbRemovals) dbAdditions = [(el.id, flag.id) for el, diff in changes.items() for flag in diff.getAdditions()] if len(dbAdditions): db.multiQuery("INSERT INTO {p}flags (element_id, flag_id) VALUES(?,?)", dbAdditions) super()._changeFlags(changes)
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{"_type": "Name", "_fields": {"id": "diff", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}]}}]}}, "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "changes", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "element", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "diff", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transaction", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "changes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_changeStickers", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "_changeStickers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _changeStickers(self, changes): if not all(element.isInDb() for element in changes.keys()): raise levels.ConsistencyError("Elements on real must be added to the DB before adding stickers.") with db.transaction(): for element, diff in changes.items(): for type, (a, b) in diff.diffs.items(): if a is not None: db.query("DELETE FROM {p}stickers WHERE type=? AND element_id=?", type, element.id) if b is not None: db.multiQuery( "INSERT INTO {p}stickers (element_id, type, sort, data) VALUES (?,?,?,?)", [(element.id, type, i, val) for i, val in enumerate(b)]) super()._changeStickers(changes)
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"_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "DELETE FROM {}stickers WHERE type = ? AND element_id IN ({})"}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "INSERT INTO {p}stickers (element_id, type, sort, data) VALUES (?,?,?,?)"}}, {"_type": "Name", "_fields": {"id": "values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "multiQuery", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "values", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transaction", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "elementToStickers", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setStickers", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "_setStickers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _setStickers(self, type, elementToStickers): if not all(element.isInDb() for element in elementToStickers.keys()): raise levels.ConsistencyError("Elements on real must be added to the DB before adding stickers.") values = [] for element, stickers in elementToStickers.items(): if stickers is not None: values.extend((element.id, type, i, s) for i, s in enumerate(stickers)) with db.transaction(): db.query("DELETE FROM {}stickers WHERE type = ? AND element_id IN ({})" .format(db.prefix, db.csIdList(elementToStickers.keys())), type) if len(values) > 0: db.multiQuery("INSERT INTO {p}stickers (element_id, type, sort, data) VALUES (?,?,?,?)", values) super()._setStickers(type, elementToStickers)
341	[ 0.0822826623916626, 0.005290248431265354, 0.07356397062540054, 0.02365853637456894, -0.004770873114466667, 0.012317423708736897, 0.053356580436229706, 0.008849245496094227, -0.024135340005159378, 0.02093394473195076, 0.062256913632154465, 0.009581480175256729, 0.057488881051540375, -0.0290...	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": "parent", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "contents", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "DELETE 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[{"_type": "Name", "_fields": {"id": "contents", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Name", "_fields": {"id": "parent", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "updateElementsCounter", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transaction", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parent", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "contents", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_setContents", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "_setContents", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _setContents(self, parent, contents): with db.transaction(): db.query("DELETE FROM {p}contents WHERE container_id = ?", parent.id) #Note: This checks skips elements which are not loaded on real. This should rarely happen and # due to foreign key constraints... if not all(self[childId].isInDb() for childId in contents if childId in self): raise levels.ConsistencyError("Elements must be in the DB before being added to a container.") if len(contents) > 0: # ...the following query will fail anyway (but with a DBException) # if some contents are not in the database yet. db.multiQuery("INSERT INTO {p}contents (container_id, position, element_id) VALUES (?,?,?)", [(parent.id, pos, childId) for pos, childId in contents.items()]) db.updateElementsCounter((parent.id,)) super()._setContents(parent, contents)
342	[ 0.07993070781230927, 0.026463251560926437, 0.08430157601833344, 0.025835750624537468, 0.006172234192490578, -0.0028508040122687817, 0.04115544259548187, 0.0024085778277367353, -0.05379202216863632, 0.01166287250816822, 0.03518335893750191, 0.016693701967597008, 0.056215476244688034, -0.032...	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": "parent", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "insertions", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Elements 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{"_type": "Name", "_fields": {"id": "insertions", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_insertContents", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "_insertContents", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _insertContents(self, parent, insertions): if not all(element.isInDb() for _, element in insertions): raise levels.ConsistencyError("Elements must be in the DB before being added to a container.") with db.transaction(): db.multiQuery("INSERT INTO {p}contents (container_id, position, element_id) VALUES (?,?,?)", [(parent.id, pos, child.id) for pos, child in insertions]) db.updateElementsCounter((parent.id,)) super()._insertContents(parent, insertions)
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feasible point found.") break g = np.sum(con[active]*2) # sum of squares of active constraints gp = da.differentiate(g, vars) # constraint^2 gradient dgp = gp-da.const(gp, True) # change in gradient try: dgp = [xx if isinstance(xx, gd) else gd(xx,name,order) for xx, name in zip(dgp, vars)] h = invert_map(dgp) except ValueError: if verbose: print("Terminating: gradient is zero to working precision. 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AND position=?"}}, {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "multiQuery", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}], "iter": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "changesOne", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "changesTwo", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "_changePositions", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _changePositions(self, parent, changes): super()._changePositions(parent, changes) changes = list(changes.items()) changesOne = [ (newPos, parent.id, oldPos) for (oldPos, newPos) in sorted(changes, key=lambda cng: cng[1], reverse=True) if newPos > oldPos ] changesTwo = [ (newPos, parent.id, oldPos) for (oldPos, newPos) in sorted(changes, key=lambda chng: chng[1]) if newPos < oldPos ] for data in changesOne, changesTwo: if len(data): db.multiQuery("UPDATE {p}contents SET position=? WHERE container_id=? AND position=?", data)
345	[ 0.010572603903710842, -0.016558045521378517, -0.0487687774002552, 0.015260362066328526, -0.011900466866791248, -0.022734619677066803, -0.008706554770469666, 0.016095304861664772, 0.03118465468287468, -0.013610593043267727, 0.019133294001221657, -0.017634419724345207, 0.008792060427367687, ...	8	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "url", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "method", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "body", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "base_url", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blank", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Request", "value": {"_type": "Name", "_fields": {"id": "webob", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "application/json"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "content_type", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "method", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "method", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "method", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "req", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "web_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def web_request(url, method=None, body=None): req = webob.Request.blank("%s%s" % (base_url, url)) if method: req.content_type = "application/json" req.method = method if body: req.body = json.dumps(body) return req
346	[ -0.0019215074134990573, 0.005025024060159922, -0.027702968567609787, -0.021977055817842484, -0.008024594746530056, 0.027013959363102913, 0.004843861795961857, 0.0050814514979720116, 0.025540901347994804, 0.0403902642428875, 0.03704024851322174, -0.06177334487438202, -0.023592665791511536, ...	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": {"args": [], "func": {"_type": "Name", "_fields": {"id": "AnsibleModule", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "argument_spec", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "idrac_ip"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "idrac_user"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "idrac_pwd"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "idrac_port"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "share_name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "share_user"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "share_pwd"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "share_mnt"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "catalog_file_name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "reboot"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "job_wait"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "required"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "type"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": "str"}}]}}, {"_type": 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[{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "idrac", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "update_firmware", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "update_status", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "iDRACConnection", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "idrac", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}}}], "name": "e", "type": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ImportError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "RuntimeError", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "finalbody": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exit_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Successfully updated the firmware."}}}}, {"_type": "keyword", "_fields": {"arg": "update_status", "value": {"_type": "Name", "_fields": {"id": "update_status", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def main(): module = AnsibleModule( argument_spec={ "idrac_ip": {"required": True, "type": 'str'}, "idrac_user": {"required": True, "type": 'str'}, "idrac_pwd": {"required": True, "type": 'str', "no_log": True}, "idrac_port": {"required": False, "default": 443, "type": 'int'}, "share_name": {"required": True, "type": 'str'}, "share_user": {"required": False, "type": 'str'}, "share_pwd": {"required": False, "type": 'str', "no_log": True}, "share_mnt": {"required": True, "type": 'str'}, "catalog_file_name": {"required": False, "type": 'str', "default": "Catalog.xml"}, "reboot": {"required": False, "type": 'bool', "default": False}, "job_wait": {"required": False, "type": 'bool', "default": True}, }, supports_check_mode=False) try: # Validate the catalog file _validate_catalog_file(module.params['catalog_file_name']) # Connect to iDRAC and update firmware with iDRACConnection(module.params) as idrac: update_status = update_firmware(idrac, module) except (ImportError, ValueError, RuntimeError) as e: module.fail_json(msg=str(e)) module.exit_json(msg='Successfully updated the firmware.', update_status=update_status)
347	[ 0.03963684290647507, 0.03227512165904045, 0.030299518257379532, 0.01747889071702957, -0.001982102170586586, 0.009987195022404194, 0.017374912276864052, 0.015108167193830013, -0.008770639076828957, 0.03310695290565491, 0.036995772272348404, -0.027533672749996185, -0.07661182433366776, -0.02...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "finalize", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_hash_ctx", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": 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"targets": [{"_type": "Name", "_fields": {"id": "data_to_verify", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Name", "_fields": {"id": "data_to_verify", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data_to_verify", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_signature", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_signature", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dsa_cdata", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_public_key", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DSA_verify", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_lib", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_consume_errors", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Name", "_fields": {"id": "InvalidSignature", "ctx": {"_type": "Load", "_fields": {}}}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "orelse": []}}], "name": "verify", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def verify(self): data_to_verify = self._hash_ctx.finalize() data_to_verify = _truncate_digest_for_dsa( self._public_key._dsa_cdata, data_to_verify, self._backend ) # The first parameter passed to DSA_verify is unused by OpenSSL but # must be an integer. res = self._backend._lib.DSA_verify( 0, data_to_verify, len(data_to_verify), self._signature, len(self._signature), self._public_key._dsa_cdata) if res != 1: self._backend._consume_errors() raise InvalidSignature
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"sig_buf", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "buffer", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ffi", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}}}], "name": "finalize", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "_DSASignatureContext", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class _DSASignatureContext(object): def __init__(self, backend, private_key, algorithm): self._backend = backend self._private_key = private_key self._algorithm = algorithm self._hash_ctx = hashes.Hash(self._algorithm, self._backend) def update(self, data): self._hash_ctx.update(data) def finalize(self): data_to_sign = self._hash_ctx.finalize() data_to_sign = _truncate_digest_for_dsa( self._private_key._dsa_cdata, data_to_sign, self._backend ) sig_buf_len = self._backend._lib.DSA_size(self._private_key._dsa_cdata) sig_buf = self._backend._ffi.new("unsigned char[]", sig_buf_len) buflen = self._backend._ffi.new("unsigned int *") # The first parameter passed to DSA_sign is unused by OpenSSL but # must be an integer. res = self._backend._lib.DSA_sign( 0, data_to_sign, len(data_to_sign), sig_buf, buflen, self._private_key._dsa_cdata) assert res == 1 assert buflen[0] return self._backend._ffi.buffer(sig_buf)[:buflen[0]]
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self._private_key._dsa_cdata, data_to_sign, self._backend ) sig_buf_len = self._backend._lib.DSA_size(self._private_key._dsa_cdata) sig_buf = self._backend._ffi.new("unsigned char[]", sig_buf_len) buflen = self._backend._ffi.new("unsigned int *") # The first parameter passed to DSA_sign is unused by OpenSSL but # must be an integer. res = self._backend._lib.DSA_sign( 0, data_to_sign, len(data_to_sign), sig_buf, buflen, self._private_key._dsa_cdata) assert res == 1 assert buflen[0] return self._backend._ffi.buffer(sig_buf)[:buflen[0]]
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self._key_size = self._backend._lib.BN_num_bits(self._dsa_cdata.p) key_size = utils.read_only_property("_key_size") def signer(self, signature_algorithm): return _DSASignatureContext(self._backend, self, signature_algorithm) def private_numbers(self): return dsa.DSAPrivateNumbers( public_numbers=dsa.DSAPublicNumbers( parameter_numbers=dsa.DSAParameterNumbers( p=self._backend._bn_to_int(self._dsa_cdata.p), q=self._backend._bn_to_int(self._dsa_cdata.q), g=self._backend._bn_to_int(self._dsa_cdata.g) ), y=self._backend._bn_to_int(self._dsa_cdata.pub_key) ), x=self._backend._bn_to_int(self._dsa_cdata.priv_key) ) def public_key(self): dsa_cdata = self._backend._lib.DSA_new() assert dsa_cdata != self._backend._ffi.NULL dsa_cdata = self._backend._ffi.gc( dsa_cdata, self._backend._lib.DSA_free ) dsa_cdata.p = self._backend._lib.BN_dup(self._dsa_cdata.p) dsa_cdata.q = self._backend._lib.BN_dup(self._dsa_cdata.q) dsa_cdata.g = self._backend._lib.BN_dup(self._dsa_cdata.g) dsa_cdata.pub_key = self._backend._lib.BN_dup(self._dsa_cdata.pub_key) return _DSAPublicKey(self._backend, dsa_cdata) def parameters(self): dsa_cdata = self._backend._lib.DSA_new() assert dsa_cdata != self._backend._ffi.NULL dsa_cdata = self._backend._ffi.gc( dsa_cdata, self._backend._lib.DSA_free ) dsa_cdata.p = self._backend._lib.BN_dup(self._dsa_cdata.p) dsa_cdata.q = self._backend._lib.BN_dup(self._dsa_cdata.q) dsa_cdata.g = self._backend._lib.BN_dup(self._dsa_cdata.g) return _DSAParameters(self._backend, dsa_cdata) def private_bytes(self, encoding, format, encryption_algorithm): evp_pkey = self._backend._lib.EVP_PKEY_new() assert evp_pkey != self._backend._ffi.NULL evp_pkey = self._backend._ffi.gc( evp_pkey, self._backend._lib.EVP_PKEY_free ) res = self._backend._lib.EVP_PKEY_set1_DSA(evp_pkey, self._dsa_cdata) assert res == 1 return self._backend._private_key_bytes( encoding, format, encryption_algorithm, evp_pkey, self._dsa_cdata )
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q=self._backend._bn_to_int(self._dsa_cdata.q), g=self._backend._bn_to_int(self._dsa_cdata.g) ) def generate_private_key(self): return self._backend.generate_dsa_private_key(self)
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[]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "pub_key", "value": {"_type": "Name", "_fields": {"id": "dsa_cdata", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "dsa_cdata", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_DSAPublicKey", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "public_key", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def public_key(self): dsa_cdata = self._backend._lib.DSA_new() assert dsa_cdata != self._backend._ffi.NULL dsa_cdata = self._backend._ffi.gc( dsa_cdata, self._backend._lib.DSA_free ) dsa_cdata.p = self._backend._lib.BN_dup(self._dsa_cdata.p) dsa_cdata.q = self._backend._lib.BN_dup(self._dsa_cdata.q) dsa_cdata.g = self._backend._lib.BN_dup(self._dsa_cdata.g) dsa_cdata.pub_key = self._backend._lib.BN_dup(self._dsa_cdata.pub_key) return _DSAPublicKey(self._backend, dsa_cdata)
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dsa_cdata.p = self._backend._lib.BN_dup(self._dsa_cdata.p) dsa_cdata.q = self._backend._lib.BN_dup(self._dsa_cdata.q) dsa_cdata.g = self._backend._lib.BN_dup(self._dsa_cdata.g) return _DSAParameters(self._backend, dsa_cdata)
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"type_params": [], "decorator_list": []}}], "type_ignores": []}}	class _DSAPublicKey(object): def __init__(self, backend, dsa_cdata): self._backend = backend self._dsa_cdata = dsa_cdata self._key_size = self._backend._lib.BN_num_bits(self._dsa_cdata.p) key_size = utils.read_only_property("_key_size") def verifier(self, signature, signature_algorithm): return _DSAVerificationContext( self._backend, self, signature, signature_algorithm ) def public_numbers(self): return dsa.DSAPublicNumbers( parameter_numbers=dsa.DSAParameterNumbers( p=self._backend._bn_to_int(self._dsa_cdata.p), q=self._backend._bn_to_int(self._dsa_cdata.q), g=self._backend._bn_to_int(self._dsa_cdata.g) ), y=self._backend._bn_to_int(self._dsa_cdata.pub_key) ) def parameters(self): dsa_cdata = self._backend._lib.DSA_new() assert dsa_cdata != self._backend._ffi.NULL dsa_cdata = self._backend._ffi.gc( dsa_cdata, self._backend._lib.DSA_free ) dsa_cdata.p = self._backend._lib.BN_dup(self._dsa_cdata.p) dsa_cdata.q = self._backend._lib.BN_dup(self._dsa_cdata.q) dsa_cdata.g = self._backend._lib.BN_dup(self._dsa_cdata.g) return _DSAParameters(self._backend, dsa_cdata) def public_bytes(self, encoding, format): if format is serialization.PublicFormat.PKCS1: raise ValueError( "DSA public keys do not support PKCS1 serialization" ) evp_pkey = self._backend._lib.EVP_PKEY_new() assert evp_pkey != self._backend._ffi.NULL evp_pkey = self._backend._ffi.gc( evp_pkey, self._backend._lib.EVP_PKEY_free ) res = self._backend._lib.EVP_PKEY_set1_DSA(evp_pkey, self._dsa_cdata) assert res == 1 return self._backend._public_key_bytes( encoding, format, evp_pkey, None )
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"_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "encoding", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "format", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "evp_pkey", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_public_key_bytes", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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"_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "g", "value": {"_type": "Name", "_fields": {"id": "dsa_cdata", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "dsa_cdata", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_DSAParameters", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "parameters", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def parameters(self): dsa_cdata = self._backend._lib.DSA_new() assert dsa_cdata != self._backend._ffi.NULL dsa_cdata = self._backend._ffi.gc( dsa_cdata, self._backend._lib.DSA_free ) dsa_cdata.p = self._backend._lib.BN_dup(self._dsa_cdata.p) dsa_cdata.q = self._backend._lib.BN_dup(self._dsa_cdata.q) dsa_cdata.g = self._backend._lib.BN_dup(self._dsa_cdata.g) return _DSAParameters(self._backend, dsa_cdata)
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help='User Id') parser.add_argument('-o', '--output', help='Save Destination') parser.add_argument('web_url', help='Download from douban url') args = parser.parse_args() if len(sys.argv) == 1: parser.print_help() sys.exit(1) return args
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Data can't be uploaded " "directly. You have to use the file upload " "handler.")
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"Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Referer"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "url", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "page", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Content-Type"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "application/x-www-form-urlencoded;charset=UTF-8"}}]}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "addheaders", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "http://m.okcupid.com%s"}}, "right": {"_type": "Name", "_fields": {"id": "abs_url", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "open", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "name": "do_rate", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "check_login", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "OkCBrowser", "bases": [{"_type": "Name", "_fields": {"id": "Browser", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class OkCBrowser(Browser): DOMAIN = 'm.okcupid.com' PROTOCOL = 'https' ENCODING = 'UTF-8' PAGES = OrderedDict(( ('https://%s/login.' % DOMAIN, LoginPage), ('http://%s/home' % DOMAIN, Page), ('http://%s/messages' % DOMAIN, ThreadPage), ('http://%s/messages\?compose=1' % DOMAIN, PostMessagePage), ('http://\w+.okcupid.com/messages\?.', MessagesPage), ('http://%s/profile/./photos' % DOMAIN, PhotosPage), ('http://%s/profile/[^/]' % DOMAIN, ProfilePage), ('http://%s/visitors' % DOMAIN, VisitsPage), ('http://%s/quickmatch' % DOMAIN, QuickMatchPage), ('http://%s/mailbox' % DOMAIN, SentPage), )) logged_in = False def home(self): self.location(self.absurl('/home')) def login(self): self.location(self.absurl('/login'), no_login=True) self.page.login(self.username, self.password) self.logged_in = True def is_logged(self): return self.logged_in def get_consts(self): return { 'conts' : 'blah' } # if self.consts is not None: # return self.consts # self.consts = [] # for i in xrange(2): # r = self.api_request('me', 'all_values', data={'sex': i}) # self.consts.append(r['result']['values']) # return self.consts #@check_login #def score(self): # #r = self.api_request('member', 'view', data={'id': self.my_id}) # return int(r['result']['member']['popu']['popu']) def get_my_name(self): return self.username #@check_login #def nb_new_mails(self): # r = self.api_request('me', '[default]') # return r['result']['news']['newMails'] #@check_login #def nb_new_baskets(self): # r = self.api_request('me', '[default]') # return r['result']['news']['newBaskets'] #@check_login #def nb_new_visites(self): # r = self.api_request('me', '[default]') # return r['result']['news']['newVisits'] #@check_login #def nb_available_charms(self): # r = self.login() # return r['result']['flashs'] #@check_login #def nb_godchildren(self): # r = self.api_request('member', 'view', data={'id': self.my_id}) # return int(r['result']['member']['popu']['invits']) #@check_login #def get_baskets(self): # r = self.api_request('me', 'basket') # return r['result']['basket'] #@check_login #def get_flashs(self): # r = self.api_request('me', 'flashs') # return r['result']['all'] @check_login def get_visits(self): self.location('http://m.okcupid.com/visitors') return self.page.get_visits() @check_login def get_threads_list(self): self.location('http://m.okcupid.com/messages') return self.page.get_threads() @check_login def get_thread_mails(self, id): id = int(id) self.location('http://www.okcupid.com/messages?readmsg=true&threadid=%i&folder=1' % id) return self.page.get_thread_mails() @check_login def post_mail(self, id, content): self.location(self.absurl('/messages?compose=1')) self.page.post_mail(id, content) @check_login def post_reply(self, thread_id, content): self.location(self.absurl('/messages?readmsg=true&threadid=%s&folder=1' % thread_id)) username, key = self.page.get_post_params() data = urllib.urlencode({ 'ajax' : 1, 'sendmsg' : 1, 'r1' : username, 'subject' : '', 'body' : content, 'threadid' : thread_id, 'authcode' : key, 'reply' : 1, }) self.addheaders = [('Referer', self.page.url), ('Content-Type', 'application/x-www-form-urlencoded')] self.open('http://m.okcupid.com/mailbox', data=data) #@check_login #@url2id #def delete_thread(self, id): # r = self.api_request('message', 'delete', data={'id_user': id}) # self.logger.debug('Thread deleted: %r' % r) #@check_login #@url2id #def send_charm(self, id): # try: # self.api_request('member', 'addBasket', data={'id': id}) # except AuMException: # return False # else: # return True @check_login def find_match_profile(self, **kwargs): self.location(self.absurl('/quickmatch')) user_id = self.page.get_id() return user_id @check_login def get_profile(self, id): self.location(self.absurl('/profile/%s' % id)) profile = self.page.get_profile() return profile @check_login def get_photos(self, id): self.location(self.absurl('/profile/%s/photos' % id)) return self.page.get_photos() #def _get_chat_infos(self): # try: # data = json.load(self.openurl('http://www.adopteunmec.com/1.1_cht_get.php?anticache=%f' % random.random())) # except ValueError: # raise BrowserUnavailable() # if data['error']: # raise ChatException(u'Error while getting chat infos. json:\n%s' % data) # return data #def iter_contacts(self): # def iter_dedupe(contacts): # yielded_ids = set() # for contact in contacts: # if contact['id'] not in yielded_ids: # yield contact # yielded_ids.add(contact['id']) # data = self._get_chat_infos() # return iter_dedupe(data['contacts']) #def iter_chat_messages(self, _id=None): # data = self._get_chat_infos() # if data['messages'] is not None: # for message in data['messages']: # yield ChatMessage(id_from=message['id_from'], id_to=message['id_to'], message=message['message'], date=message['date']) #def send_chat_message(self, _id, message): # url = 'http://www.adopteunmec.com/1.1_cht_send.php?anticache=%f' % random.random() # data = dict(id=_id, message=message) # headers = { # 'Content-type': 'application/x-www-form-urlencoded', # 'Accept': 'text/plain', # 'Referer': 'http://www.adopteunmec.com/chat.php', # 'Origin': 'http://www.adopteunmec.com', # } # request = self.request_class(url, urllib.urlencode(data), headers) # response = self.openurl(request).read() # try: # datetime.datetime.strptime(response, '%Y-%m-%d %H:%M:%S') # return True # except ValueError: # return False @check_login def visit_profile(self, id): self.location(self.absurl('/profile/%s' % id)) stalk, u, tuid = self.page.get_visit_button_params() if stalk and u and tuid: # Premium users, need to click on "visit button" to let the other person know his profile was visited data = urllib.urlencode({ 'ajax' : 1, 'stalk': stalk, 'u':u, 'tuid': tuid }) self.addheaders = [('Referer', self.page.url), ('Content-Type', 'application/x-www-form-urlencoded;charset=UTF-8')] self.open('http://m.okcupid.com/profile', data=data) return True @check_login def do_rate(self, id): # Need to be in quickmatch page abs_url, rating,params = self.page.get_rating_params() # print abs_url, rating, params data = urllib.urlencode(params) self.addheaders = [('Referer', self.page.url), ('Content-Type', 'application/x-www-form-urlencoded;charset=UTF-8')] self.open('http://m.okcupid.com%s' %abs_url, data=data) return True
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{}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Referer"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "url", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "page", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Content-Type"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "application/x-www-form-urlencoded"}}]}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "addheaders", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "http://m.okcupid.com/mailbox"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "open", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "post_reply", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def post_reply(self, thread_id, content): self.location(self.absurl('/messages?readmsg=true&threadid=%s&folder=1' % thread_id)) username, key = self.page.get_post_params() data = urllib.urlencode({ 'ajax' : 1, 'sendmsg' : 1, 'r1' : username, 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self.addheaders = [('Referer', self.page.url), ('Content-Type', 'application/x-www-form-urlencoded;charset=UTF-8')] self.open('http://m.okcupid.com/profile', data=data) return True
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"_fields": {"id": "n_jobs", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "n_jobs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "LarsCV", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "fit_intercept", "value": {"_type": "Name", "_fields": {"id": "fit_intercept", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "verbose", "value": {"_type": "Name", "_fields": {"id": "verbose", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "normalize", "value": {"_type": "Name", "_fields": {"id": "normalize", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "precompute", "value": {"_type": "Name", "_fields": {"id": "precompute", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "n_nonzero_coefs", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 500}}}}, {"_type": "keyword", "_fields": {"arg": "eps", "value": {"_type": "Name", "_fields": {"id": "eps", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "copy_X", "value": {"_type": "Name", "_fields": {"id": "copy_X", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "fit_path", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "positive", "value": {"_type": "Name", "_fields": {"id": "positive", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def __init__(self, fit_intercept=True, verbose=False, max_iter=500, normalize=True, precompute='auto', cv=None, max_n_alphas=1000, n_jobs=1, eps=np.finfo(np.float).eps, copy_X=True, positive=False): self.max_iter = max_iter self.cv = cv self.max_n_alphas = max_n_alphas self.n_jobs = n_jobs super(LarsCV, self).__init__(fit_intercept=fit_intercept, verbose=verbose, normalize=normalize, precompute=precompute, n_nonzero_coefs=500, eps=eps, copy_X=copy_X, fit_path=True, positive=positive)
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{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "base_path", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run_test_module", "value": {"_type": "Name", "_fields": {"id": "utils", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "status", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tstart", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tend", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Failure detected for module '%s'\n\n%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "modname", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "failureException", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "status", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}, "orelse": []}}], "name": "runTest", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "BrythonModuleTestCase", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class BrythonModuleTestCase(unittest.TestCase): def __init__(self, modname, caption, base_path=''): unittest.TestCase.__init__(self) self.modname = modname self.caption = caption self.base_path = base_path def shortDescription(self): return "Brython test module '%s'" % self.caption def runTest(self): status, tstart, tend, msg = utils.run_test_module(self.modname, self.base_path) if not status == 1: raise self.failureException("Failure detected for module '%s'\n\n%s" % (self.modname, msg))
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This adds a new test with the same name # as the currently running test and marks that it should be skipped. window.QUnit.skip(testName) return wrapped_test
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{"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "install_dir", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "basename", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "target", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "target", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "outputs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "finalize_options", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def finalize_options(self): self.set_undefined_options('install_lib', ('install_dir', 'install_dir')) self.set_undefined_options('install',('install_layout','install_layout')) if sys.hexversion > 0x2060000: self.set_undefined_options('install',('prefix_option','prefix_option')) ei_cmd = self.get_finalized_command("egg_info") basename = pkg_resources.Distribution( None, None, ei_cmd.egg_name, ei_cmd.egg_version ).egg_name() + '.egg-info' if self.install_layout: if not self.install_layout.lower() in ['deb']: raise DistutilsOptionError( "unknown value for --install-layout") basename = basename.replace('-py%s' % pkg_resources.PY_MAJOR, '') elif self.prefix_option or 'real_prefix' in sys.__dict__: # don't modify for virtualenv pass else: basename = basename.replace('-py%s' % pkg_resources.PY_MAJOR, '') self.source = ei_cmd.egg_info self.target = os.path.join(self.install_dir, basename) self.outputs = [self.target]
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"value": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "wt"}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "install_namespaces", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def install_namespaces(self): nsp = self._get_all_ns_packages() if not nsp: return filename, ext = os.path.splitext(self.target) filename += '-nspkg.pth' self.outputs.append(filename) log.info("Installing %s", filename) lines = 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((.+)h)?((.+)min)?(.+)s') m = duration_regexp.match(text) if m: day, month, year = [int(s) for s in m.group(2).split('/')] date = datetime.datetime(year, month, day) duration = datetime.timedelta(hours=int(m.group(4) if m.group(4) is not None else 0), minutes=int(m.group(6) if m.group(6) is not None else 0), seconds=int(m.group(7))) return date, duration else: raise BrokenPageError('Unable to parse date and duration') def create_id(self, id): raise NotImplementedError() def get_date_and_duration(self): raise NotImplementedError() def get_title(self): raise NotImplementedError() def get_description(self): raise NotImplementedError()
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true}}}}]}}}}], "name": "test_init_without_classpath", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestSimulationRunnerWrapper", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class TestSimulationRunnerWrapper(unittest.TestCase): def test_init_with_arguments(self, mock_gateway): SimulationRunnerWrapper(py4j_jar_path="py4j_jar_path", classpath="classpath") mock_gateway.assert_called_with(jarpath='py4j_jar_path', classpath='classpath', port=PY4J_GATEWAY_PORT, die_on_exit=True) def test_init_without_arguments(self, mock_gateway): mock_workspace_dir = "workspace" os.environ["BUILD_WORKSPACE_DIRECTORY"] = mock_workspace_dir py4j_jar_path = f'{mock_workspace_dir}/bazel-out/k8-fastbuild/bin/python' \ f'/main.runfiles/deps/pypi__py4j/py4j-{PY4J_VERSION}.data' \ f'/data/share/py4j/py4j{PY4J_VERSION}.jar' classpath = f"{mock_workspace_dir}/bazel-out/k8-fastbuild/bin" \ f"/SimulationRunner_deploy.jar" SimulationRunnerWrapper() mock_gateway.assert_called_with(jarpath=py4j_jar_path, classpath=classpath, port=PY4J_GATEWAY_PORT, die_on_exit=True) def test_init_without_py4j_jarpath(self, mock_gateway): mock_workspace_dir = "workspace" os.environ["BUILD_WORKSPACE_DIRECTORY"] = mock_workspace_dir py4j_jar_path = f'{mock_workspace_dir}/bazel-out/k8-fastbuild/bin/python' \ f'/main.runfiles/deps/pypi__py4j/py4j-{PY4J_VERSION}.data' \ f'/data/share/py4j/py4j{PY4J_VERSION}.jar' SimulationRunnerWrapper(classpath="classpath") mock_gateway.assert_called_with(jarpath=py4j_jar_path, classpath="classpath", port=PY4J_GATEWAY_PORT, die_on_exit=True) def test_init_without_classpath(self, mock_gateway): mock_workspace_dir = "workspace" os.environ["BUILD_WORKSPACE_DIRECTORY"] = mock_workspace_dir classpath = f"{mock_workspace_dir}/bazel-out/k8-fastbuild/bin" \ f"/SimulationRunner_deploy.jar" SimulationRunnerWrapper(py4j_jar_path="py4j_jar_path") mock_gateway.assert_called_with(jarpath="py4j_jar_path", classpath=classpath, port=PY4J_GATEWAY_PORT, die_on_exit=True)
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{"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getroot", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "document", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "div.container-global-qr"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "select", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parser", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}}}, "keywords": []}}}}, "keywords": []}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "unicode", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "get_description", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "VideoPage", "bases": [{"_type": "Name", "_fields": {"id": "BaseVideoPage", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class VideoPage(BaseVideoPage): URL_REGEXP = re.compile('http://www.ina.fr/(.+)\.html') def create_id(self, id): return u'www.%s' % id def get_date_and_duration(self): qr = self.parser.select(self.document.getroot(), 'div.container-global-qr')[0].find('div').findall('div')[1] return self.parse_date_and_duration(qr.find('h2').tail.strip()) def get_title(self): qr = self.parser.select(self.document.getroot(), 'div.container-global-qr')[0].find('div').findall('div')[1] return unicode(qr.find('h2').text.strip()) def get_description(self): return unicode(self.parser.select(self.document.getroot(), 'div.container-global-qr')[1].find('div').find('p').text.strip())
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{"id": "SchemaMigration", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'CredAudit' db.create_table('cred_credaudit', ( ('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('audittype', self.gf('django.db.models.fields.CharField')(max_length=1)), ('cred', self.gf('django.db.models.fields.related.ForeignKey')(related_name='logs', to=orm['cred.Cred'])), ('user', self.gf('django.db.models.fields.related.ForeignKey')(related_name='credlogs', to=orm['auth.User'])), ('time', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), )) db.send_create_signal('cred', ['CredAudit']) def backwards(self, orm): # Deleting model 'CredAudit' db.delete_table('cred_credaudit') models = { 'auth.group': { 'Meta': {'object_name': 'Group'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, 'auth.permission': { 'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'auth.user': { 'Meta': {'object_name': 'User'}, 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, 'contenttypes.contenttype': { 'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'cred.cred': { 'Meta': {'object_name': 'Cred'}, 'description': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}), 'group': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.Group']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '250'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '64'}), 'username': ('django.db.models.fields.CharField', [], {'max_length': '250', 'null': 'True', 'blank': 'True'}) }, 'cred.credaudit': { 'Meta': {'object_name': 'CredAudit'}, 'audittype': ('django.db.models.fields.CharField', [], {'max_length': '1'}), 'cred': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'logs'", 'to': "orm['cred.Cred']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'time': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'credlogs'", 'to': "orm['auth.User']"}) } } complete_apps = ['cred']
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"_fields": {"id": "DatasetGranuleWriter", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class FgdcWriter(DatasetGranuleWriter): def __init__(self, configFilePath): super(FgdcWriter, self).__init__(configFilePath) templatePath = os.path.dirname(configFilePath) + os.sep templatePath += self._configuration.get('service', 'template') self.template = self._readTemplate(templatePath) def _generateOpenSearchResponse(self, solrGranuleResponse, solrDatasetResponse, pretty): response = GranuleFgdcResponse() response.setTemplate(self.template) return response.generate(solrDatasetResponse, solrGranuleResponse, pretty)
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logger.debug('Downloading from URL %s' % link) while True: chunk = resp.read(4096) if not chunk: break downloaded += len(chunk) if show_progress: if not total_length: logger.show_progress('%s' % format_size(downloaded)) else: logger.show_progress('%3i%% %s' % (100downloaded/total_length, format_size(downloaded))) if link.md5_hash: download_hash.update(chunk) fp.write(chunk) fp.close() finally: if show_progress: logger.end_progress('%s downloaded' % format_size(downloaded)) return download_hash
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"values": [{"_type": "Name", "_fields": {"id": "target_file", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "target_file", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "temp_location", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "temp_location", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unlink", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "target_file", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "temp_dir", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rmdir", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "unpack_http_url", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def unpack_http_url(link, location, download_cache, download_dir=None): temp_dir = tempfile.mkdtemp('-unpack', 'pip-') target_url = link.url.split('#', 1)[0] target_file = None download_hash = None if download_cache: target_file = os.path.join(download_cache, urllib.quote(target_url, '')) if not os.path.isdir(download_cache): create_download_cache_folder(download_cache) if (target_file and os.path.exists(target_file) and os.path.exists(target_file + '.content-type')): fp = open(target_file+'.content-type') content_type = fp.read().strip() fp.close() if link.md5_hash: download_hash = _get_md5_from_file(target_file, link) temp_location = target_file logger.notify('Using download cache from %s' % target_file) else: resp = _get_response_from_url(target_url, link) content_type = resp.info()['content-type'] filename = link.filename # fallback # Have a look at the Content-Disposition header for a better guess content_disposition = resp.info().get('content-disposition') if content_disposition: type, params = cgi.parse_header(content_disposition) # We use ``or`` here because we don't want to use an "empty" value # from the filename param. filename = params.get('filename') or filename ext = splitext(filename)[1] if not ext: ext = mimetypes.guess_extension(content_type) if ext: filename += ext if not ext and link.url != geturl(resp): ext = os.path.splitext(geturl(resp))[1] if ext: filename += ext temp_location = os.path.join(temp_dir, filename) download_hash = _download_url(resp, link, temp_location) if link.md5_hash: _check_md5(download_hash, link) if download_dir: _copy_file(temp_location, download_dir, content_type, link) unpack_file(temp_location, location, content_type, link) if target_file and target_file != temp_location: cache_download(target_file, temp_location, content_type) if target_file is None: os.unlink(temp_location) os.rmdir(temp_dir)
398	[ -0.04436465725302696, -0.0047210282646119595, -0.02055923268198967, -0.00043276092037558556, 0.004601376596838236, -0.0004470670537557453, -0.017604362219572067, 0.05489398166537285, 0.02927817776799202, 0.03196253255009651, 0.013213676400482655, 0.004232018254697323, -0.0032383911311626434,...	11	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "target_url", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "link", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "target_url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "urlopen", 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"_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exc_info", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Error %s while getting %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "link", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fatal", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": null, "cause": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "IOError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "resp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_response_from_url", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def _get_response_from_url(target_url, link): try: resp = urlopen(target_url) except urllib2.HTTPError: e = sys.exc_info()[1] logger.fatal("HTTP error %s while getting %s" % (e.code, link)) raise except IOError: e = sys.exc_info()[1] # Typically an FTP error logger.fatal("Error %s while getting %s" % (e, link)) raise return resp
399	[ 0.019690008834004402, -0.05572785437107086, 0.015859657898545265, -0.014382593333721161, -0.04636477306485176, -0.025210220366716385, 0.06418967992067337, 0.01182902604341507, 0.016798468306660652, -0.0076294089667499065, 0.03730211406946182, -0.0015451273648068309, 0.014582873322069645, -...	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": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setUp", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "SavePhotosTestCase", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_CreateSimpleTestAssets", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cookie", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_episode_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_photo_ids", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_user2", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ShareNew", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_tester", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cookie", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_CreateViewpointDict", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_existing_vp_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "existing_ep_ids", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "existing_ep_ids", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_existing_ep_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def setUp(self): super(SavePhotosTestCase, self).setUp() self._CreateSimpleTestAssets() self._existing_vp_id, existing_ep_ids = self._tester.ShareNew(self._cookie, [(self._episode_id, self._photo_ids)], [self._user2.user_id], **self._CreateViewpointDict(self._cookie)) self._existing_ep_id = existing_ep_ids[0]
400	[ 0.0333305187523365, 0.01329993735998869, 0.04045301303267479, -0.03192446008324623, -0.008240428753197193, 0.03330746665596962, 0.0023352683056145906, -0.010090203955769539, -0.04510914534330368, -0.01902789995074272, -0.013138585723936558, -0.06712204217910767, 0.027475779876112938, -0.02...	10	{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "IConfigurer", "value": {"_type": "Name", "_fields": {"id": "plugins", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "implements", "value": {"_type": "Name", "_fields": {"id": "plugins", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "config_", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "config_", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "templates"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_template_directory", "value": {"_type": "Name", "_fields": {"id": "toolkit", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "config_", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "public"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_public_directory", "value": {"_type": "Name", "_fields": {"id": "toolkit", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "fanstatic"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "opendataje"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_resource", "value": {"_type": "Name", "_fields": {"id": "toolkit", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rstrip", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "ckan.site_url"}}, "value": {"_type": "Name", "_fields": {"id": "config_", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "{0}/licenses.json"}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "licenses_group_url"}}, "value": {"_type": "Name", "_fields": {"id": "config_", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "update_config", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "OpendatajePlugin", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SingletonPlugin", "value": {"_type": "Name", "_fields": {"id": "plugins", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class OpendatajePlugin(plugins.SingletonPlugin): plugins.implements(plugins.IConfigurer) # IConfigurer def update_config(self, config_): toolkit.add_template_directory(config_, 'templates') toolkit.add_public_directory(config_, 'public') toolkit.add_resource('fanstatic', 'opendataje') config_['licenses_group_url'] = '{0}/licenses.json'.format( config_['ckan.site_url'].rstrip('/'))