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def test_friedmanchisquare(): # see ticket:113 # verified with matlab and R #From Demsar "Statistical Comparisons of Classifiers over Multiple Data Sets" #2006, Xf=9.28 (no tie handling, tie corrected Xf >=9.28) x1 = [array([0.763, 0.599, 0.954, 0.628, 0.882, 0.936, 0.661, 0.583, 0.775, 1.0, 0.94, 0.619, 0.972, 0.957]), array([0.768, 0.591, 0.971, 0.661, 0.888, 0.931, 0.668, 0.583, 0.838, 1.0, 0.962, 0.666, 0.981, 0.978]), array([0.771, 0.590, 0.968, 0.654, 0.886, 0.916, 0.609, 0.563, 0.866, 1.0, 0.965, 0.614, 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)
303
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def test_ks_2samp(): #exact small sample solution data1 = np.array([1.0,2.0]) data2 = np.array([1.0,2.0,3.0]) assert_almost_equal(np.array(stats.ks_2samp(data1+0.01,data2)), np.array((0.33333333333333337, 0.99062316386915694))) 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)))
304
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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)
305
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10
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def test_ttest_1samp_new(): n1, n2, n3 = (10,15,20) rvn1 = stats.norm.rvs(loc=5,scale=10,size=(n1,n2,n3)) #check multidimensional array and correct axis handling #deterministic rvn1 and rvn2 would be better as in test_ttest_rel t1,p1 = stats.ttest_1samp(rvn1[:,:,:], np.ones((n2,n3)),axis=0) t2,p2 = stats.ttest_1samp(rvn1[:,:,:], 1,axis=0) 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, (n2,n3)) t1,p1 = 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)
306
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def test_ttest_ind(): #regression test tr = 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)
307
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9
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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)
308
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def test_describe(): x = np.vstack((np.ones((3,4)),2*np.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)
309
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8
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def test_obrientransform(): #this is a regression test to check np.var replacement #I didn't separately verigy the numbers x1 = np.arange(5) result = np.array( [[ 5.41666667, 1.04166667, -0.41666667, 1.04166667, 5.41666667], [ 21.66666667, 4.16666667, -1.66666667, 4.16666667, 21.66666667]]) assert_array_almost_equal(stats.obrientransform(x1, 2*x1), result, decimal=8)
310
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def mannwhitneyu(): x = np.array([ 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., 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., 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)
311
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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 = [0.0, 0.0, 1.0159969301994141e-304, 2.9752418572150531e-275, 7.7668382922535275e-250, 2.3381250925167094e-099, 7.8284591587323951e-081, 9.9155947819961383e-065, 2.8729390725176308e-050, 1.7175066298388421e-037, 0.0021070691951093692, 0.12044570587262322, 0.88154763174802508, 0.027120993063129286, 2.6102587134694721e-006] for p, res in zip(pp,results): assert_approx_equal(stats.binom_test(x, n, p), res, significant=12, err_msg='fail forp=%f'%p) assert_approx_equal(stats.binom_test(50,100,0.1), 5.8320387857343647e-024, significant=12, err_msg='fail forp=%f'%p)
312
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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)
313
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"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() - fact*c.std()) assert_equal(upp, c.mean() + fact*c.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() - fact*c.std()) assert_equal(upp, c.mean() + fact*c.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() - fact*c.std()) assert_equal(upp, c.mean() + fact*c.std()) assert_equal(c, np.linspace(9.5,10.5,11))
314
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12
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"_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.)
315
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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() - fact*c.std()) assert_equal(upp, c.mean() + fact*c.std()) assert_equal(c.size, a.size)
316
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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() - fact*c.std()) assert_equal(upp, c.mean() + fact*c.std()) assert_equal(c.size, 4) assert_equal(a.size, 36)
317
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9
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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()
318
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10
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"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": "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": []}}], "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() - fact*c.std()) assert_equal(upp, c.mean() + fact*c.std()) assert_equal(c, np.linspace(9.5,10.5,11))
319
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11
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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)
320
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10
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class BuildExamples(): def __init__(self, targets=[], clean=False): print("init") self.targets = targets self.clean = clean def run(self): for target in self.targets: util.build_examples(target, clean=self.clean)
321
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9
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def GetEvent(self, request): event_id = request.REQ.get("event") if event_id: event_id = int(event_id) container = request.REQ.get("container") fd = aff4.FACTORY.Open(container, token=request.token) child = None for child in fd: # Found the right event. if child.id == event_id: return child
322
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8
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def __init__(self, **kwargs): if EventTable.content_cache is None: EventTable.content_cache = utils.TimeBasedCache() super(EventTable, self).__init__(**kwargs) self.AddColumn(semantic.AttributeColumn("event.id")) self.AddColumn(semantic.AttributeColumn("timestamp")) self.AddColumn(semantic.AttributeColumn("subject")) self.AddColumn(semantic.RDFValueColumn( "Message", renderer=EventMessageRenderer, width="100%"))
323
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def __init__(self, pool_connections=DEFAULT_POOLSIZE, pool_maxsize=DEFAULT_POOLSIZE, max_retries=DEFAULT_RETRIES, pool_block=DEFAULT_POOLBLOCK): if max_retries == DEFAULT_RETRIES: self.max_retries = Retry(0, read=False) else: self.max_retries = Retry.from_int(max_retries) self.config = {} self.proxy_manager = {} super(HTTPAdapter, self).__init__() self._pool_connections = pool_connections self._pool_maxsize = pool_maxsize self._pool_block = pool_block self.init_poolmanager(pool_connections, pool_maxsize, block=pool_block)
324
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8
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "ExperimentData", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "model", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "Meta", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "UserFactory", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SubFactory", "value": {"_type": "Name", "_fields": {"id": "factory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FuzzyInteger", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fuzzy", "value": {"_type": "Name", "_fields": {"id": "factory", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "experiment_id", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "n", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Sequence", "value": {"_type": "Name", "_fields": {"id": "factory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "word"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Faker", "value": {"_type": "Name", "_fields": {"id": "factory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "ExperimentDataFactory", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DjangoModelFactory", "value": {"_type": "Name", "_fields": {"id": "factory", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class ExperimentDataFactory(factory.DjangoModelFactory): class Meta(object): model = ExperimentData user = factory.SubFactory(UserFactory) experiment_id = factory.fuzzy.FuzzyInteger(0) key = factory.Sequence(lambda n: n) value = factory.Faker('word')
325
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def process_traces(data, dates, output_file_name): result = [] for i in range(len(dates)): subs = data[data.FECHA == dates.Fecha[i]] # 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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8
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def __setstate__(self, state): # Can't handle by adding 'proxy_manager' to self.__attrs__ because # self.poolmanager uses a lambda function, which isn't pickleable. self.proxy_manager = {} self.config = {} for attr, value in state.items(): setattr(self, attr, value) self.init_poolmanager(self._pool_connections, self._pool_maxsize, block=self._pool_block)
327
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def check_consistency_of_users_to_projects(): nodes = models.Node.find( Q('is_deleted', 'eq', False) ) no_creator, creator_ref, contrib_ref = [], [], [] for node in nodes: if not node.creator: logger.info('Node {} has no creator'.format(node._id)) no_creator.append(node) elif node and node._id not in node.creator.created: logger.info('Creator {} is inconsistent in reference with node {}'.format(node.creator._id, node._id)) creator_ref.append(node) for contributor in node.contributors: if node and node._id not in contributor.contributed: logger.info('Contributor {} is inconsistent in reference with node {}'.format(contributor._id, node._id)) contrib_ref.append(node) count = len(no_creator) + len(creator_ref) + len(contrib_ref) if count == 0: logger.info("Consistency of users to projects' check is done. 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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def main(argv): output = "output.xlsx" input_file_name = "input.csv" dates_file_name = "dates.csv" existing_file_name = "existing.csv" non_existing_file_name = "non_existing.csv" try: opts, args = getopt.getopt(argv, "i:d:o:e:n:", ["input=", "dates=", "output=", "existing=", "non_existing="]) except getopt.GetoptError: sys.exit(2) for opt, arg in opts: if opt in ("-i", "--input"): input_file_name = arg elif opt in ("-d", "--dates"): dates_file_name = arg elif opt in ("-o", "--output"): output = arg elif opt in ("-e", "--existing"): existing_file_name = arg elif opt in ("-n", "--non_existing"): non_existing_file_name = arg traces_data = read_data_from_file(input_file_name) dates_data = read_data_from_file(dates_file_name) dates_processed_data = process_traces(traces_data, dates_data, output) exceptions_data = get_exceptions(dates_processed_data) export_dataset(dates_processed_data, existing_file_name) export_dataset(exceptions_data, non_existing_file_name)
329
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10
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[{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "o_val", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "o_key", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "opts", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "o_arg", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "opts", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "iter": {"_type": "Name", "_fields": {"id": "o_args", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "o_arg", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "o_strs", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "o_str", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "opts", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_parse_options", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _parse_options(o_strs): opts = {} if not o_strs: return opts for o_str in o_strs: if not o_str.strip(): continue o_args = o_str.split(',') for o_arg in o_args: o_arg = o_arg.strip() try: o_key, o_val = o_arg.split('=', 1) o_key = o_key.strip() o_val = o_val.strip() except ValueError: opts[o_arg] = True else: opts[o_key] = o_val return opts
330
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12
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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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7
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def _fully_connected_with_bn(self, x, out_dim, kernel_initializer=None, kernel_regularizer=None): x = self._fully_connected( x, out_dim, kernel_initializer=kernel_initializer, kernel_regularizer=kernel_regularizer) x = self._relu(x) x = self._batch_norm(x) return x
332
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11
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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())
333
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"_fields": {}}, "attr": "modified", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "renamed", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "old", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "new", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "name": "merge", "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": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "attr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_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": {"_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": "Constant", "_fields": {"kind": null, "value": "RealFileEvent({})"}}}}, "keywords": []}}}}], "name": "__str__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "RealFileEvent", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ChangeEvent", "value": {"_type": "Name", "_fields": {"id": "application", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
class RealFileEvent(application.ChangeEvent): _attrs = ("modified", "added", "removed", "renamed", "deleted") def __init__(self, **kwargs): super().__init__() for attr, iterable in kwargs.items(): if not attr in self._attrs: raise ValueError("Invalid keyword attribute for {}: {}".format(type(self), attr)) setattr(self, attr, set(iterable)) def __getattr__(self, attr): if attr in self._attrs: return set() raise AttributeError("'{}' has no attribute '{}'".format(type(self), attr)) 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)))
334
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11
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"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": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "old", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "modified", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "renamed", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "old", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "new", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "name": "merge", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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
335
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10
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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])
336
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "params", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ensureLoaded", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Iterable", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "abc", "value": {"_type": "Name", "_fields": {"id": "collections", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Sized", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "abc", "value": {"_type": "Name", "_fields": {"id": "collections", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_ensureLoaded", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_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": "param", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}}}], "name": "collect", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def collect(self, params): # We need to iterate params twice if not isinstance(params, collections.abc.Iterable): self._ensureLoaded([params]) return self[params] if not isinstance(params, collections.abc.Sized): # exclude one-time generators params = list(params) self._ensureLoaded(params) return [self[param] for param in params]
337
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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
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11
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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)
339
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13
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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)
340
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11
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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
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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
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10
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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)
343
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12
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def constraint_satisfaction(funs, guess, order=3, max_iter=50, linesearch=True, verbose=False): # Heuristic if np.all(guess == 0): if verbose: print("Initial guess is all zeros, this is often difficult for numerical algorithms.\nA small random perturbation is added.") guess = np.random.random(size=np.shape(guess)) history = [guess.copy()] gradient_history = [] vars = ['x{}'.format(i) for i in range(len(guess))] pvars = ['p{}'.format(i) for i in range(len(guess))] if verbose: print("(guess) constraint satisfaction value: {}".format(np.max([fun(guess) for fun in funs]))) for it in range(max_iter): x = [gd(val, var, order) for val, var in zip(guess, vars)] con = np.array([fun(x) for fun in funs]) active = da.const(con, True) > 0 if not np.any(active): print("No active constraints, 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. Either:\n 1. Solution is feasible, or\n 2. The gradient is degenerate at the guess.") break # TODO: Maybe use a heuristic to recover? dxy = da.evaluate(h, pvars, [-da.const(gp, True)])[0] gradient_history.append(dxy/np.linalg.norm(dxy)) if linesearch: nsteps = 50 # should always be even so that zero is not an option steps = np.linspace(-3, 3, nsteps) # Its essential to use a value > 1 otherwise the iterations will only approach the boundary violation = [] found = False for step in steps: guess_new = guess + step*dxy con = np.array([fun(guess_new) for fun in funs]) violation.append(np.linalg.norm(con[con >= 0])) if np.all(con <= 0): # Should also potentially break if step gets too small print(step) found = True break # should do a check if no feasible point, take that step with the lowest violation to continue improving if not found: if verbose: print("...no feasible point found during line search. Attempting to reduce constraint violation") idx = np.argmin(violation) guess_new = guess + steps[idx]*dxy delta = guess_new - guess guess = guess_new else: a = 0.01 b = 0.9 step = a/np.linalg.norm(dxy) + b delta = step*dxy guess += delta history.append(guess.copy()) if verbose: print("(iter {}) constraint satisfaction value: {:3g}".format(it+1, np.max([fun(guess) for fun in funs]))) if it == max_iter-1: if verbose: print("Max iterations reached") return None, history, gradient_history return guess, history, gradient_history
344
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11
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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
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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
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10
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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
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9
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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
348
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10
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class _DSAVerificationContext(object): def __init__(self, backend, public_key, signature, algorithm): self._backend = backend self._public_key = public_key self._signature = signature self._algorithm = algorithm self._hash_ctx = hashes.Hash(self._algorithm, self._backend) def update(self, data): self._hash_ctx.update(data) 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
349
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11
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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]]
350
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10
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"_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": []}}], "type_ignores": []}}
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]]
351
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class _DSAPrivateKey(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 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 )
352
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11
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class _DSAParameters(object): def __init__(self, backend, dsa_cdata): self._backend = backend self._dsa_cdata = dsa_cdata def parameter_numbers(self): return 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) ) def generate_private_key(self): return self._backend.generate_dsa_private_key(self)
353
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9
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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)
354
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14
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"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}}}, {"_type": "keyword", "_fields": {"arg": "x", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "priv_key", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dsa_cdata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_bn_to_int", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}}}], "name": "private_numbers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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) )
355
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9
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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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9
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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 )
357
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12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DSAPublicNumbers", "value": {"_type": "Name", "_fields": {"id": "dsa", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "parameter_numbers", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DSAParameterNumbers", "value": {"_type": "Name", "_fields": {"id": "dsa", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "p", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "p", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dsa_cdata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_bn_to_int", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "q", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "q", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dsa_cdata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_bn_to_int", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "g", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "g", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dsa_cdata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_bn_to_int", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}}}, {"_type": "keyword", "_fields": {"arg": "y", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pub_key", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_dsa_cdata", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_bn_to_int", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_backend", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}]}}}}], "name": "public_numbers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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) )
358
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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 )
359
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9
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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 )
360
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9
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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)
361
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8
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def parse_args(): parser = argparse.ArgumentParser( formatter_class=argparse.RawDescriptionHelpFormatter, description='Douban Photos Downloader v{0}'.format(__version__), epilog='''https://github.com/mcxiaoke/python-labs ''') parser.add_argument('-a', '--album', help='Album Id') parser.add_argument('-l', '--doulist', help='Doulist Id') parser.add_argument('-u', '--userid', 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
362
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8
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def __init__(self, name, dtype, save_callback, restore_callback): self._restore_callback = restore_callback spec = saver_lib.BaseSaverBuilder.SaveSpec( tensor=save_callback, slice_spec="", name=name, dtype=dtype) super(_CallbackSaveable, self).__init__( save_callback, [spec], name)
363
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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_blob_key", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "blobstore", "value": {"_type": "Name", "_fields": {"id": "files", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "content", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "File", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "The App Engine storage backend only supports BlobstoreFile instances or File instances."}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}]}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "key", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "BlobInfo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_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": "data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lstrip", "value": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "BlobInfo", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "BlobKey", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "The App Engine Blobstore only supports BlobInfo values. Data can't be uploaded directly. You have to use the file upload handler."}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}]}}], "name": "_save", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def _save(self, name, content): name = name.replace('\\', '/') if hasattr(content, 'file') and \ hasattr(content.file, 'blobstore_info'): data = content.file.blobstore_info elif hasattr(content, 'blobstore_info'): data = content.blobstore_info elif isinstance(content, File): guessed_type = mimetypes.guess_type(name)[0] file_name = files.blobstore.create(mime_type=guessed_type or 'application/octet-stream', _blobinfo_uploaded_filename=name) with files.open(file_name, 'a') as f: for chunk in content.chunks(): f.write(chunk) files.finalize(file_name) data = files.blobstore.get_blob_key(file_name) else: raise ValueError("The App Engine storage backend only supports " "BlobstoreFile instances or File instances.") if isinstance(data, (BlobInfo, BlobKey)): # We change the file name to the BlobKey's str() value. if isinstance(data, BlobInfo): data = data.key() return '%s/%s' % (data, name.lstrip('/')) else: raise ValueError("The App Engine Blobstore only supports " "BlobInfo values. Data can't be uploaded " "directly. You have to use the file upload " "handler.")
364
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10
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"value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "http_range", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": "attachment; filename=%s"}}, "right": {"_type": "Name", "_fields": {"id": "save_as", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "smart_str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Content-Disposition"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "save_as", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "size", "value": {"_type": "Name", "_fields": {"id": "file", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Content-Length"}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "size", "value": {"_type": "Name", "_fields": {"id": "file", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "serve_file", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def serve_file(request, file, save_as, content_type, **kwargs): if hasattr(file, 'file') and hasattr(file.file, 'blobstore_info'): blobkey = file.file.blobstore_info.key() elif hasattr(file, 'blobstore_info'): blobkey = file.blobstore_info.key() else: raise ValueError("The provided file can't be served via the " "Google App Engine Blobstore.") response = HttpResponse(content_type=content_type) response[BLOB_KEY_HEADER] = str(blobkey) response['Accept-Ranges'] = 'bytes' http_range = request.META.get('HTTP_RANGE') if http_range is not None: response[BLOB_RANGE_HEADER] = http_range if save_as: response['Content-Disposition'] = smart_str( u'attachment; filename=%s' % save_as) if file.size is not None: response['Content-Length'] = file.size return response
365
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11
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class BlobstoreFile(File): def __init__(self, name, mode, storage): self.name = name self._storage = storage self._mode = mode self.blobstore_info = storage._get_blobinfo(name) @property def size(self): return self.blobstore_info.size def write(self, content): raise NotImplementedError() @property def file(self): if not hasattr(self, '_file'): self._file = BlobReader(self.blobstore_info.key()) return self._file
366
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"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": [], 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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
367
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9
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"_fields": {"kind": null, "value": ""}}, {"_type": "Name", "_fields": {"id": "content", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "thread_id", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urlencode", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "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"}}]}}]}}, "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, '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)
368
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10
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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
369
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9
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "id", "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": "get_rating_params", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "page", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "abs_url", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "rating", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urlencode", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "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_ignores": []}}
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
370
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9
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def _apply_sort_functions(p_todos, p_functions): sorted_todos = p_todos for function, order in reversed(p_functions): sorted_todos = sorted(sorted_todos, key=function, reverse=(order == 'desc')) return sorted_todos
371
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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)
372
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7
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def _get_gram(self): # precompute if n_samples > n_features precompute = self.precompute if hasattr(precompute, '__array__'): Gram = precompute elif precompute == 'auto': Gram = 'auto' else: Gram = None return Gram
373
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11
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{"_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))
374
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11
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def qunit_test(testName, test, result): def wrapped_test(qunit): test(result) if result.details: msg = '[' + result.lastOutcome + '] - ' + result.details else: msg = '' qunit.ok(result.wasSuccessful(), msg) if result.lastOutcome == 'SKIP': # QUnit can't skip tests based on runtime behavior, so this is # a bit of a hack. 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
375
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9
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def load_brython_test_cases(base_path=''): ret = [] for label, options in utils.discover_brython_test_modules(): tcs = [] for filenm, caption in options: tcs.append(BrythonModuleTestCase(filenm, caption, base_path)) ret.append(NamedTestSuite('Brython :' + label, tcs)) return unittest.TestSuite(ret)
376
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10
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def wrapped_test(qunit): test(result) if result.details: msg = '[' + result.lastOutcome + '] - ' + result.details else: msg = '' qunit.ok(result.wasSuccessful(), msg) if result.lastOutcome == 'SKIP': # QUnit can't skip tests based on runtime behavior, so this is # a bit of a hack. 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)
377
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10
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{"id": "pkg_resources", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dry_run", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "copytree", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Copying %s to %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "source", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "target", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute", "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": "install_namespaces", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "run", "returns": null, "type_params": [], "type_comment": null, 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def run(self): self.run_command('egg_info') if os.path.isdir(self.target) and not os.path.islink(self.target): dir_util.remove_tree(self.target, dry_run=self.dry_run) elif os.path.exists(self.target): self.execute(os.unlink, (self.target,), "Removing " + self.target) if not self.dry_run: pkg_resources.ensure_directory(self.target) self.execute( self.copytree, (), "Copying %s to %s" % (self.source, self.target) ) self.install_namespaces()
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11
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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]
379
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8
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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 = map(self._gen_nspkg_line, nsp) if self.dry_run: # always generate the lines, even in dry run list(lines) return with open(filename, 'wt') as f: f.writelines(lines)
380
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10
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def copytree(self): # Copy the .egg-info tree to site-packages def skimmer(src, dst): # filter out source-control directories; note that 'src' is always # a '/'-separated path, regardless of platform. 'dst' is a # platform-specific path. for skip in '.svn/', 'CVS/': if src.startswith(skip) or '/' + skip in src: return None self.outputs.append(dst) log.debug("Copying %s to %s", src, dst) return dst unpack_archive(self.source, self.target, skimmer)
381
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9
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def skimmer(src, dst): # filter out source-control directories; note that 'src' is always # a '/'-separated path, regardless of platform. 'dst' is a # platform-specific path. for skip in '.svn/', 'CVS/': if src.startswith(skip) or '/' + skip in src: return None self.outputs.append(dst) log.debug("Copying %s to %s", src, dst) return dst
382
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8
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def _gen_nspkg_line(cls, pkg): # ensure pkg is not a unicode string under Python 2.7 pkg = str(pkg) pth = tuple(pkg.split('.')) tmpl_lines = cls._nspkg_tmpl parent, sep, child = pkg.rpartition('.') if parent: tmpl_lines += cls._nspkg_tmpl_multi return ';'.join(tmpl_lines) % locals() + '\n'
383
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class BaseVideoPage(BasePage): def get_video(self, video): date, duration = self.get_date_and_duration() if not video: video = InaVideo(self.get_id()) video.title = self.get_title() video.url = self.get_url() video.date = date video.duration = duration video.description = self.get_description() video.set_empty_fields(NotAvailable) return video def get_id(self): m = self.URL_REGEXP.match(self.url) if m: return self.create_id(m.group(1)) self.logger.warning('Unable to parse ID') return 0 def get_url(self): qs = parse_qs(self.document.getroot().cssselect('param[name="flashvars"]')[0].attrib['value']) s = self.browser.readurl('http://boutique.ina.fr/player/infovideo/id_notice/%s' % qs['id_notice'][0]) s = s[s.find('<Media>')+7:s.find('</Media>')] return u'%s/pkey/%s' % (s, qs['pkey'][0]) def parse_date_and_duration(self, text): duration_regexp = re.compile('(.* - )?(.+) - ((.+)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()
384
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"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)
385
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13
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def parse_date_and_duration(self, text): duration_regexp = re.compile('(.* - )?(.+) - ((.+)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')
386
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9
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def get_video(self, video): date, duration = self.get_date_and_duration() if not video: video = InaVideo(self.get_id()) video.title = self.get_title() video.url = self.get_url() video.date = date video.duration = duration video.description = self.get_description() video.set_empty_fields(NotAvailable) return video
387
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12
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class BoutiqueVideoPage(BaseVideoPage): URL_REGEXP = re.compile('http://boutique.ina.fr/(audio|video)/(.+).html') def create_id(self, id): return u'boutique.%s' % id def get_description(self): el = self.document.getroot().cssselect('div.bloc-produit-haut div.contenu p')[0] if el is not None: return unicode(el.text.strip()) def get_date_and_duration(self): el = self.document.getroot().cssselect('div.bloc-produit-haut p.date')[0] if el is not None: return self.parse_date_and_duration(el.text.strip()) else: raise BrokenPageError('Unable to find date and duration element') def get_title(self): el = self.document.getroot().cssselect('div.bloc-produit-haut h1')[0] if el is not None: return unicode(el.text.strip()) else: return None
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19
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{"_type": "Name", "_fields": {"id": "qr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse_date_and_duration", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "get_date_and_duration", "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": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Call", "_fields": 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{"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": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "qr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "h2"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Name", "_fields": {"id": "qr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "unicode", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "get_title", "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": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "p"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "div"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Call", "_fields": {"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())
389
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11
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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'])
390
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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']
391
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12
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": null}}], "test": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "done"}}, "value": {"_type": "Name", "_fields": {"id": "plural_validation", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Catalog defines %d plurals, we expect %d for this language. See the README for an explanation. plurals have very likely been incorrectly written."}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_plurals", "value": {"_type": "Name", "_fields": {"id": "catalog", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "plural_keywords", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "language", "value": {"_type": "Name", "_fields": {"id": "catalog", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "error"}}], "func": {"_type": "Name", "_fields": {"id": "warnfunc", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Pass", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_plurals", "value": {"_type": "Name", "_fields": {"id": "catalog", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "plural_keywords", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "language", "value": {"_type": "Name", "_fields": {"id": "catalog", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "done"}}, "value": {"_type": "Name", "_fields": {"id": "plural_validation", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "validate_plural_config", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def validate_plural_config(): if plural_validation['done']: return if catalog.num_plurals != len(catalog.language.plural_keywords): warnfunc(('Catalog defines %d plurals, we expect %d for ' 'this language. See the README for an ' 'explanation. plurals have very likely been ' 'incorrectly written.') % ( catalog.num_plurals, len(catalog.language.plural_keywords)), 'error') pass plural_validation['done'] = True
392
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10
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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)
393
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9
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def unpack_file_url(link, location): source = url_to_path(link.url) content_type = mimetypes.guess_type(source)[0] if os.path.isdir(source): # delete the location since shutil will create it again :( if os.path.isdir(location): rmtree(location) copytree(source, location) else: unpack_file(source, location, content_type, link)
394
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def _get_md5_from_file(target_file, link): download_hash = md5() fp = open(target_file, 'rb') while True: chunk = fp.read(4096) if not chunk: break download_hash.update(chunk) fp.close() return download_hash
395
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def _copy_file(filename, location, content_type, link): copy = True download_location = os.path.join(location, link.filename) if os.path.exists(download_location): response = ask_path_exists( 'The file %s exists. (i)gnore, (w)ipe, (b)ackup ' % display_path(download_location), ('i', 'w', 'b')) if response == 'i': copy = False elif response == 'w': logger.warn('Deleting %s' % display_path(download_location)) os.remove(download_location) elif response == 'b': dest_file = backup_dir(download_location) logger.warn('Backing up %s to %s' % (display_path(download_location), display_path(dest_file))) shutil.move(download_location, dest_file) if copy: shutil.copy(filename, download_location) logger.indent -= 2 logger.notify('Saved %s' % display_path(download_location))
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def _download_url(resp, link, temp_location): fp = open(temp_location, 'wb') download_hash = None if link.md5_hash: download_hash = md5() try: total_length = int(resp.info()['content-length']) except (ValueError, KeyError, TypeError): total_length = 0 downloaded = 0 show_progress = total_length > 40*1000 or not total_length show_url = link.show_url try: if show_progress: ## FIXME: the URL can get really long in this message: if total_length: logger.start_progress('Downloading %s (%s): ' % (show_url, format_size(total_length))) else: logger.start_progress('Downloading %s (unknown size): ' % show_url) else: logger.notify('Downloading %s' % show_url) 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' % (100*downloaded/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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{}}}}], "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
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11
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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
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9
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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
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10
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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('/'))