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id int64 0 10.8M	vector listlengths 1.54k 1.54k	ast_depth int64 3 164	ast_data stringlengths 297 510k	code stringlengths 60 56.5k
12,501	[ 0.038929589092731476, -0.013665961101651192, 0.06456119567155838, -0.047837208956480026, 0.012891937978565693, -0.02243400178849697, 0.026139164343476295, 0.010055964812636375, 0.01924908347427845, 0.01680012419819832, 0.0035941351670771837, -0.034057047218084335, -0.020441841334104538, 0....	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inst", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "mgtest"}}], "func": {"_type": "Name", "_fields": {"id": "Application", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a.key1"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": 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"_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertFalse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "c"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_config", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertFalse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "d"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_config", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertFalse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test03", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test03(self): app = Application(self.inst, "mgtest") self.assertEqual(app.config.get("a.key1"), None) self.assertEqual(app.config.get("a.key2"), "value2") self.assertTrue("a" in app.config._config) self.assertFalse("b" in app.config._config) self.assertFalse("c" in app.config._config) self.assertFalse("d" in app.config._config)
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{}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a.key2"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "value2"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a.key1"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "delete", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "store", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a.key1"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "a.key2"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "value2"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test02", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test02(self): app = Application(self.inst, "mgtest") self.assertEqual(app.config.get("a.key1"), "value1") app.config.set("a.key2", "value2") app.config.delete("a.key1") app.config.store() self.assertEqual(app.config.get("a.key1"), None) self.assertEqual(app.config.get("a.key2"), "value2")
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{"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "index", "value": {"_type": "Name", "_fields": {"id": "otr", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 10000}}, "targets": [{"_type": "Name", "_fields": {"id": "runs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "distribution", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": 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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "plot", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "lw", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "distribution", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hist", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "bins", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 101}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "show", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_csv", "value": {"_type": "Name", "_fields": {"id": "bdf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "path_or_buf", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "/media/james/ext4data1/current/projects/pfizer/bootstrap_results.csv"}}}}]}}}}, {"_type": "Return", "_fields": {"value": null}}], "name": "Bill", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def Bill(): otr=pd.read_csv('/media/james/ext4data1/current/projects/pfizer/outer_test_results.csv').set_index('subjects') #Per subject accuracy acc= otr['scores']*100 n= len(otr.index) runs= 10000 distribution= [] for i in range(runs): sample= np.random.choice(acc, n,replace=True) sample_mean= sum(sample)/len(sample) distribution.append(sample_mean) dist_mean= sum(distribution)/len(distribution) p_value= sum(i<=52.77 for i in distribution)/runs print('{} runs, {} samples per run'.format(len(distribution), n)) print('distribution mean: {}%'.format(dist_mean)) print('p-value: {}'.format(p_value)) bootstrap_results= {'samples per run': n, 'runs': 10000, 'distribution mean': dist_mean, 'p-value': p_value } bdf= pd.DataFrame.from_dict(bootstrap_results, orient='index') binner=np.digitize(distribution, np.array(range(0,101))) plt.plot([52.77,52.77],[0,list(binner).count(statistics.mode(binner))],'-r',lw=2) plt.hist(distribution, bins=list(range(0,101))) plt.show() bdf.to_csv(path_or_buf='/media/james/ext4data1/current/projects/pfizer/bootstrap_results.csv') return
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{"_type": "Load", "_fields": {}}, "attr": "call", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hooks", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "join.filter3"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hooks", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 14}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "join.immed"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hooks", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "immed"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test09", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test09(self): app = Application(self.inst, "mgtest") app.modules.load(["mg.test.testcore.TestJoin"]) self.assertEqual(app.hooks.call("join.empty"), None) self.assertEqual(app.hooks.call("join.single"), "single") self.assertEqual(app.hooks.call("join.prio1"), "prio2") self.assertEqual(app.hooks.call("join.prio2"), "prio1") self.assertEqual(app.hooks.call("join.prio3"), "prio1") self.assertEqual(app.hooks.call("join.filter1", 2), 2) self.assertEqual(app.hooks.call("join.filter2", 2), 4) self.assertEqual(app.hooks.call("join.filter3", 2), 14) self.assertEqual(app.hooks.call("join.immed", 2), "immed")
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legendre(11, 1) == 1 assert legendre(10, 0) != 0 assert legendre(11, 0) == 0 assert roots(legendre(4,x), x) == { (Rational(3, 7) - Rational(2, 35)30S.Half)S.Half: 1, -(Rational(3, 7) - Rational(2, 35)30S.Half)S.Half: 1, (Rational(3, 7) + Rational(2, 35)30S.Half)S.Half: 1, -(Rational(3, 7) + Rational(2, 35)30S.Half)*S.Half: 1, }
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(Make sure you comment it out when the issues # are resolved.) However, it is much preferred to add tests to # the 'tests_to_disable' list below. #if not is_integration_bot: # return tests_to_disable = [] # In general, you should disable tests inside this conditional. 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"_fields": {"kind": null, "value": 1}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Plm", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 12}}}}]}}}}], "name": "test_assoc_legendre", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_assoc_legendre(): Plm=assoc_legendre Q=(1-x2)Rational(1,2) assert Plm(0, 0, x) == 1 assert Plm(1, 0, x) == x assert Plm(1, 1, x) == -Q assert Plm(2, 0, x) == (3x2-1)/2 assert Plm(2, 1, x) == -3xQ assert Plm(2, 2, x) == 3Q*2 assert Plm(3, 0, x) == (5x*3-3x)/2 assert Plm(3, 1, x).expand() == (( 3(1-5x*2)/2 ).expand() Q).expand() assert Plm(3, 2, x) == 15x Q*2 assert Plm(3, 3, x) == -15 Q**3 # negative m assert Plm(1,-1, x) == -Plm(1, 1, x)/2 assert Plm(2,-2, x) == Plm(2, 2, x)/24 assert Plm(2,-1, x) == -Plm(2, 1, x)/6 assert Plm(3,-3, x) == -Plm(3, 3, x)/720 assert Plm(3,-2, x) == Plm(3, 2, x)/120 assert Plm(3,-1, x) == -Plm(3, 1, x)/12
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"k", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "chebyshevu_root", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "z", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "z", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "chebyshevu", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_chebyshev", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_chebyshev(): assert chebyshevt(0, x) == 1 assert chebyshevt(1, x) == x assert chebyshevt(2, x) == 2x2-1 assert chebyshevt(3, x) == 4x*3-3x for n in range(1, 4): for k in range(n): z = chebyshevt_root(n, k) assert chebyshevt(n, z) == 0 for n in range(1, 4): for k in range(n): z = chebyshevu_root(n, k) assert chebyshevu(n, z) == 0
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{"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "laguerre_l", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "laguerre_poly", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_laguerre", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_laguerre(): alpha = Symbol("alpha") # generalized Laguerre polynomials: assert laguerre_l(0, alpha, x) == 1 assert laguerre_l(1, alpha, x) == -x + alpha + 1 assert laguerre_l(2, alpha, x).expand() == (x*2/2 - (alpha+2)x + (alpha+2)(alpha+1)/2).expand() assert laguerre_l(3, alpha, x).expand() == (-x3/6 + (alpha+3)x*2/2 - (alpha+2)(alpha+3)x/2 + (alpha+1)(alpha+2)(alpha+3)/6).expand() # Laguerre polynomials: assert laguerre_l(0, 0, x) == 1 assert laguerre_l(1, 0, x) == 1 - x assert laguerre_l(2, 0, x).expand() == 1 - 2x + x*2/2 assert laguerre_l(3, 0, x).expand() == 1 - 3x + 3x2/2 - x*3/6 # Test the lowest 10 polynomials with laguerre_poly, to make sure that it # works: for i in range(10): assert laguerre_l(i, 0, x).expand() == laguerre_poly(i, x)
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"edergi %s (toplam: %s)"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "episode", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "amount_buyuk", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "amount_kucuk", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " buyuk: %s"}}, "right": {"_type": "Name", "_fields": {"id": "amount_buyuk", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " küçük: %s\n"}}, "right": {"_type": "Name", "_fields": {"id": "amount_kucuk", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "COUNT_OF_JOURNAL", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "episode", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "print_output", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def print_output(): regex_podcast = '(?<=oi_podcast_E)\w+.(mp3\|ogg)' regex_edergi = '(?<=oi_say)\w+_(buyuk\|kucuk).pdf' # podcasts amount_list = get_amount_list(LOGPODCAST, regex_podcast) for episode in range(1, COUNT_OF_PODCAST + 1): if episode < 10: # dirty hacking episode = "0%s" % episode amount_ogg = amount_list.count('%s.ogg' % episode) amount_mp3 = amount_list.count('%s.mp3' % episode) print("podcast %s (toplam: %s)" % (episode, (amount_ogg + amount_mp3))) print(" ogg: %s" % amount_ogg) print(" mp3: %s\n" % amount_mp3) # edergis amount_list = get_amount_list(LOGEDERGI, regex_edergi) for episode in range(1, COUNT_OF_JOURNAL + 1): if episode < 10: # still dirty hacking episode = "0%s" % episode amount_buyuk = amount_list.count('%s_buyuk.pdf' % episode) amount_kucuk = amount_list.count('%s_kucuk.pdf' % episode) print("edergi %s (toplam: %s)" % (episode, (amount_buyuk + amount_kucuk))) print(" buyuk: %s" % amount_buyuk) print(" küçük: %s\n" % amount_kucuk)
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"right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "input_lines", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "source", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "StringList", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "insert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "input_lines", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "insert_input", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def insert_input(self, input_lines, source): self.input_lines.insert(self.line_offset + 1, '', source='internal padding after '+source, offset=len(input_lines)) self.input_lines.insert(self.line_offset + 1, '', source='internal padding before '+source, offset=-1) self.input_lines.insert(self.line_offset + 2, StringList(input_lines, source))
12,513	[ 0.06979983299970627, -0.016689926385879517, -0.043013788759708405, -0.0499567985534668, 0.03284577280282974, -0.03149003908038139, -0.03132570534944534, 0.01038370095193386, 0.0074668158777058125, 0.03906983137130737, 0.03588590770959854, -0.026744963601231575, 0.03444800525903702, -0.0384...	11	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "i", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": {"_type": "Constant", "_fields": {"kind": null, "value": "cannot handle slice with stride"}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "step", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "start", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, "upper": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stop", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__class__", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "items", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "start", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, "upper": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stop", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "parent_offset", "value": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "start", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}]}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "slice", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}], "name": "__getitem__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def __getitem__(self, i): if isinstance(i, slice): assert i.step in (None, 1), 'cannot handle slice with stride' return self.__class__(self.data[i.start:i.stop], items=self.items[i.start:i.stop], parent=self, parent_offset=i.start or 0) else: return self.data[i]
12,514	[ 0.05017910897731781, -0.01186092384159565, -0.0625108852982521, -0.029282357543706894, -0.01326226256787777, -0.03829576447606087, 0.009999947622418404, -0.030089527368545532, -0.010986489243805408, 0.03995494544506073, 0.07035837322473526, -0.00043966976227238774, 0.012993205338716507, -0...	12	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "i", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "item", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": {"_type": "Constant", "_fields": {"kind": null, "value": "cannot handle slice with stride"}}, "test": {"_type": 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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "slice", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent_offset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}]}}], "name": "__setitem__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def __setitem__(self, i, item): if isinstance(i, slice): assert i.step in (None, 1), 'cannot handle slice with stride' if not isinstance(item, ViewList): raise TypeError('assigning non-ViewList to ViewList slice') self.data[i.start:i.stop] = item.data self.items[i.start:i.stop] = item.items assert len(self.data) == len(self.items), 'data mismatch' if self.parent: self.parent[(i.start or 0) + self.parent_offset : (i.stop or len(self)) + self.parent_offset] = item else: self.data[i] = item if self.parent: self.parent[i + self.parent_offset] = item
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"decorator_list": []}}], "type_ignores": []}}	def __delitem__(self, i): try: del self.data[i] del self.items[i] if self.parent: del self.parent[i + self.parent_offset] except TypeError: assert i.step is None, 'cannot handle slice with stride' del self.data[i.start:i.stop] del self.items[i.start:i.stop] if self.parent: del self.parent[(i.start or 0) + self.parent_offset : (i.stop or len(self)) + self.parent_offset]
12,517	[ 0.007611389271914959, 0.010182804428040981, 0.003015322843566537, -0.0052159130573272705, -0.003562086960300803, -0.02431746944785118, 0.012039637193083763, -0.036378759890794754, -0.0010603704722598195, 0.04590653255581856, 0.04837508872151375, 0.015060373581945896, 0.005841172765940428, ...	12	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "top", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "left", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "bottom", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "right", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "strip_indent", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": 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{"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "block", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "column_indices", "value": {"_type": "Name", "_fields": {"id": "utils", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "ci", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, 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"left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lstrip", "value": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "func": {"_type": "Name", "_fields": {"id": "min", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "block", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Load", "_fields": {}}}}, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "block", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "block", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "strip_indent", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}, {"_type": "Lt", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "comparators": [{"_type": "Name", "_fields": {"id": "indent", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "right", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "block", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "get_2D_block", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def get_2D_block(self, top, left, bottom, right, strip_indent=True): block = self[top:bottom] indent = right for i in range(len(block.data)): # get slice from line, care for combining characters ci = utils.column_indices(block.data[i]) try: left = ci[left] except IndexError: left += len(block.data[i]) - len(ci) try: right = ci[right] except IndexError: right += len(block.data[i]) - len(ci) block.data[i] = line = block.data[i][left:right].rstrip() if line: indent = min(indent, len(line) - len(line.lstrip())) if strip_indent and 0 < indent < right: block.data = [line[indent:] for line in block.data] return block
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"ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "insert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent_offset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "source", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "insert", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}]}}], "name": "insert", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def insert(self, i, item, source=None, offset=0): if source is None: if not isinstance(item, ViewList): raise TypeError('inserting non-ViewList with no source given') self.data[i:i] = item.data self.items[i:i] = item.items if self.parent: index = (len(self.data) + i) % len(self.data) self.parent.insert(index + self.parent_offset, item) else: self.data.insert(i, item) self.items.insert(i, (source, offset)) if self.parent: index = (len(self.data) + i) % len(self.data) self.parent.insert(index + self.parent_offset, item, source, offset)
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{"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "LtE", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "freshness_lifetime", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "current_age", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "date", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "freshness_lifetime", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "expires", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "expires"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TIME_FMT", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expires", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "gmtime", "value": {"_type": "Name", "_fields": {"id": "time", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strftime", "value": {"_type": "Name", "_fields": {"id": "time", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}], "name": "update_headers", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def update_headers(self, resp): headers = resp.headers if 'expires' in headers: return {} if 'cache-control' in headers and headers['cache-control'] != 'public': return {} if resp.status not in self.cacheable_by_default_statuses: return {} if 'date' not in headers or 'last-modified' not in headers: return {} date = calendar.timegm(parsedate_tz(headers['date'])) last_modified = parsedate(headers['last-modified']) if date is None or last_modified is None: return {} now = time.time() current_age = max(0, now - date) delta = date - calendar.timegm(last_modified) freshness_lifetime = max(0, min(delta / 10, 24 * 3600)) if freshness_lifetime <= current_age: return {} expires = date + freshness_lifetime return {'expires': time.strftime(TIME_FMT, time.gmtime(expires))}
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"join", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sep", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "settings", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cross_building", "value": {"_type": "Name", "_fields": {"id": "tools", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, 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"value": "foo/bar/tasks/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "tasks"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "tasks/main.yml"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_path_endswith_role_source_main_yml_source_in_dirname", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestPathDwimRelativeStackDataLoader", "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 TestPathDwimRelativeStackDataLoader(unittest.TestCase): def setUp(self): self._loader = DataLoader() def test_none(self): self.assertRaisesRegex(AnsibleFileNotFound, 'on the Ansible Controller', self._loader.path_dwim_relative_stack, None, None, None) def test_empty_strings(self): self.assertEqual(self._loader.path_dwim_relative_stack('', '', ''), './') def test_empty_lists(self): self.assertEqual(self._loader.path_dwim_relative_stack([], '', '~/'), os.path.expanduser('~')) def test_all_slash(self): self.assertEqual(self._loader.path_dwim_relative_stack('/', '/', '/'), '/') def test_path_endswith_role(self): self.assertEqual(self._loader.path_dwim_relative_stack(paths=['foo/bar/tasks/'], dirname='/', source='/'), '/') def test_path_endswith_role_source_tilde(self): self.assertEqual(self._loader.path_dwim_relative_stack(paths=['foo/bar/tasks/'], dirname='/', source='~/'), os.path.expanduser('~')) def test_path_endswith_role_source_main_yml(self): self.assertRaises(AnsibleFileNotFound, self._loader.path_dwim_relative_stack, ['foo/bar/tasks/'], '/', 'main.yml') def 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"Constant", "_fields": {"kind": null, "value": "foo/bar/tasks/"}}}}, {"_type": "keyword", "_fields": {"arg": "dirname", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "/"}}}}, {"_type": "keyword", "_fields": {"arg": "source", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "main.yml"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_path_endswith_role_main_yml", "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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path_dwim_relative", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "path", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "foo/bar/tasks/"}}}}, {"_type": "keyword", "_fields": {"arg": "dirname", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "/"}}}}, {"_type": "keyword", "_fields": {"arg": "source", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "~/"}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "~"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expanduser", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_path_endswith_role_source_tilde", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestPathDwimRelativeDataLoader", "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 TestPathDwimRelativeDataLoader(unittest.TestCase): def setUp(self): self._loader = DataLoader() def test_all_slash(self): self.assertEqual(self._loader.path_dwim_relative('/', '/', '/'), '/') def test_path_endswith_role(self): self.assertEqual(self._loader.path_dwim_relative(path='foo/bar/tasks/', dirname='/', source='/'), '/') def test_path_endswith_role_main_yml(self): self.assertIn('main.yml', self._loader.path_dwim_relative(path='foo/bar/tasks/', dirname='/', source='main.yml')) def test_path_endswith_role_source_tilde(self): self.assertEqual(self._loader.path_dwim_relative(path='foo/bar/tasks/', dirname='/', source='~/'), os.path.expanduser('~'))
12,529	[ 0.013260803185403347, 0.00310112489387393, 0.01164334174245596, -0.050046149641275406, 0.058751896023750305, 0.012594789266586304, -0.02356022410094738, 0.009585835970938206, 0.007837550714612007, -0.01831536926329136, 0.0048969825729727745, -0.01054322998970747, 0.01548481173813343, 0.001...	11	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "$ANSIBLE_VAULT;1.1;AES256\n33343734386261666161626433386662623039356366656637303939306563376130623138626165\n6436333766346533353463636566313332623130383662340a393835656134633665333861393331\n37666233346464636263636530626332623035633135363732623332313534306438393366323966\n3135306561356164310a343937653834643433343734653137383339323330626437313562306630\n3035\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "vaulted_data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "builtins"}}, "targets": [{"_type": "Name", "_fields": {"id": "builtins_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "PY3", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "__builtin__"}}, "targets": [{"_type": "Name", "_fields": {"id": "builtins_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "dummy_vault.txt"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "load_from_file", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "foo", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "bar"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "builtins_name", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ".open"}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "mock_open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "read_data", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "utf-8"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "encode", "value": {"_type": "Name", "_fields": {"id": "vaulted_data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_parse_from_vault_1_1_file", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_parse_from_vault_1_1_file(self): vaulted_data = """$ANSIBLE_VAULT;1.1;AES256 33343734386261666161626433386662623039356366656637303939306563376130623138626165 6436333766346533353463636566313332623130383662340a393835656134633665333861393331 37666233346464636263636530626332623035633135363732623332313534306438393366323966 3135306561356164310a343937653834643433343734653137383339323330626437313562306630 3035 """ if PY3: builtins_name = 'builtins' else: builtins_name = '__builtin__' with patch(builtins_name + '.open', mock_open(read_data=vaulted_data.encode('utf-8'))): output = self._loader.load_from_file('dummy_vault.txt') self.assertEqual(output, dict(foo='bar'))
12,530	[ 0.03399201110005379, 0.01628643088042736, 0.03849724680185318, -0.06618192791938782, 0.01929367519915104, 0.020656509324908257, -0.008886579424142838, -0.0125583466142416, 0.017852000892162323, 0.00920194573700428, 0.018617890775203705, 0.01071119960397482, 0.0065269614569842815, 0.0035084...	12	{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "DataLoader", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "default"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "ansible"}}], "func": {"_type": "Name", "_fields": {"id": "TextVaultSecret", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "vault_secrets", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vault_secrets", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_vault_secrets", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "__file__", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dirname", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "fixtures"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "vault.yml"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "test_vault_data_path", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "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": "Pass", "_fields": {}}], "name": "tearDown", "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": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_vault_data_path", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_real_file", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "real_file_path", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "real_file_path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_get_real_file_vault", "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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_vault_secrets", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AnsibleParserError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_real_file", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_vault_data_path", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_get_real_file_vault_no_vault", "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": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "default"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "wrong_password"}}], "func": {"_type": "Name", "_fields": {"id": "TextVaultSecret", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "wrong_vault", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "wrong_vault", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_vault_secrets", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AnsibleVaultError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_real_file", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_vault_data_path", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": 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"__builtin__"}}, "targets": [{"_type": "Name", "_fields": {"id": "builtins_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "dummy_vault.txt"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "load_from_file", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_loader", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "foo", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "bar"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "builtins_name", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ".open"}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "mock_open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "read_data", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "utf-8"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "encode", "value": {"_type": "Name", "_fields": {"id": "vaulted_data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_parse_from_vault_1_1_file", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "DataLoader", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "multiple", "value": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "path_exists", "value": {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "s", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}}}, {"_type": "keyword", "_fields": {"arg": "is_file", "value": {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "s", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}}}]}}]}}], "name": "TestDataLoaderWithVault", "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 TestDataLoaderWithVault(unittest.TestCase): def setUp(self): self._loader = DataLoader() vault_secrets = [('default', TextVaultSecret('ansible'))] self._loader.set_vault_secrets(vault_secrets) self.test_vault_data_path = os.path.join(os.path.dirname(__file__), 'fixtures', 'vault.yml') def tearDown(self): pass def test_get_real_file_vault(self): real_file_path = self._loader.get_real_file(self.test_vault_data_path) self.assertTrue(os.path.exists(real_file_path)) def test_get_real_file_vault_no_vault(self): self._loader.set_vault_secrets(None) self.assertRaises(AnsibleParserError, self._loader.get_real_file, self.test_vault_data_path) def test_get_real_file_vault_wrong_password(self): wrong_vault = [('default', TextVaultSecret('wrong_password'))] self._loader.set_vault_secrets(wrong_vault) self.assertRaises(AnsibleVaultError, self._loader.get_real_file, self.test_vault_data_path) def test_get_real_file_not_a_path(self): self.assertRaisesRegex(AnsibleParserError, 'Invalid filename', self._loader.get_real_file, None) @patch.multiple(DataLoader, path_exists=lambda s, x: True, is_file=lambda s, x: True) def test_parse_from_vault_1_1_file(self): vaulted_data = """$ANSIBLE_VAULT;1.1;AES256 33343734386261666161626433386662623039356366656637303939306563376130623138626165 6436333766346533353463636566313332623130383662340a393835656134633665333861393331 37666233346464636263636530626332623035633135363732623332313534306438393366323966 3135306561356164310a343937653834643433343734653137383339323330626437313562306630 3035 """ if PY3: builtins_name = 'builtins' else: builtins_name = '__builtin__' with patch(builtins_name + '.open', mock_open(read_data=vaulted_data.encode('utf-8'))): output = self._loader.load_from_file('dummy_vault.txt') self.assertEqual(output, dict(foo='bar'))
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"Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "deco", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "func", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "wraps", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "deco", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "generator", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "generator", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "with_conf_app", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def with_conf_app(docutilsconf='', args, kwargs): default_kw = { 'srcdir': root, 'cleanenv': True, } default_kw.update(kwargs) def generator(func): @wraps(func) def deco(args2, *kwargs2): app = TestApp(args, *default_kw) (app.srcdir / 'docutils.conf').write_text(docutilsconf) try: cwd = os.getcwd() os.chdir(app.srcdir) func(app, args2, **kwargs2) finally: os.chdir(cwd) # don't execute cleanup if test failed app.cleanup() return deco return generator
12,532	[ 0.001761582912877202, 0.024155523627996445, 0.014779825694859028, -0.039179932326078415, -0.02168639563024044, -0.022874372079968452, 0.012799864634871483, -0.005465274211019278, 0.008979705162346363, 0.014034428633749485, 0.013708317652344704, -0.023899292573332787, -0.0026059779338538647, ...	10	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "func", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs2", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args2", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": 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{"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "chdir", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args2", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "func", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs2", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "orelse": [], "handlers": [], "finalbody": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cwd", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "chdir", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cleanup", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "deco", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "func", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "wraps", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "deco", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "generator", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def generator(func): @wraps(func) def deco(args2, kwargs2): app = TestApp(args, *default_kw) (app.srcdir / 'docutils.conf').write_text(docutilsconf) try: cwd = os.getcwd() os.chdir(app.srcdir) func(app, args2, **kwargs2) finally: os.chdir(cwd) # don't execute cleanup if test failed app.cleanup() return deco
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""", parameter_name, parameter_name) while True: rows = cursor.fetchmany(100) if not rows: break for row in rows: facts[row.parameter_name.lower()] = { 'parameter_name': row.parameter_name, 'current_value': row.current_value, 'default_value': row.default_value} return facts
12,536	[ 0.003155024955049157, 0.014166346751153469, 0.08377017825841904, -0.026058800518512726, 0.0034193648025393486, -0.036655135452747345, 0.005599458701908588, -0.03838329389691353, 0.0013892058050259948, 0.00441987719386816, 0.030265500769019127, -0.04802459478378296, -0.010863518342375755, -...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "app", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "contents"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "builder", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "outdir", "value": {"_type": "Name", "_fields": {"id": "app", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "contents.html"}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "encoding", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "utf-8"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<th class=\"field-name\">"}}, {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "regex_count", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<th class=\"field-name\" colspan=\"2\">"}}, {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "regex_count", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<td class=\"option-group\">"}}, {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "regex_count", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "<td class=\"option-group\" colspan=\"2\">"}}, {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "regex_count", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}}}], "name": "test_html_with_docutilsconf", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_html_with_docutilsconf(app): app.builder.build(['contents']) result = (app.outdir / 'contents.html').text(encoding='utf-8') assert regex_count(r'<th class="field-name">', result) == 0 assert regex_count(r'<th class="field-name" colspan="2">', result) == 2 assert regex_count(r'<td class="option-group">', result) == 0 assert regex_count(r'<td class="option-group" colspan="2">', result) == 2
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"ctx": {"_type": "Load", "_fields": {}}}}]}}}}]}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def main(): module = AnsibleModule( argument_spec=dict( parameter=dict(required=True, aliases=['name']), value=dict(default=None), db=dict(default=None), cluster=dict(default='localhost'), port=dict(default='5433'), login_user=dict(default='dbadmin'), login_password=dict(default=None, no_log=True), ), supports_check_mode = True) if not pyodbc_found: module.fail_json(msg="The python pyodbc module is required.") parameter_name = module.params['parameter'] current_value = module.params['value'] db = '' if module.params['db']: db = module.params['db'] changed = False try: dsn = ( "Driver=Vertica;" "Server={0};" "Port={1};" "Database={2};" "User={3};" "Password={4};" "ConnectionLoadBalance={5}" ).format(module.params['cluster'], module.params['port'], db, module.params['login_user'], module.params['login_password'], 'true') db_conn = pyodbc.connect(dsn, autocommit=True) cursor = db_conn.cursor() except Exception: e = get_exception() module.fail_json(msg="Unable to connect to database: {0}.".format(e)) try: configuration_facts = get_configuration_facts(cursor) if module.check_mode: changed = not check(configuration_facts, parameter_name, current_value) else: try: changed = present(configuration_facts, cursor, parameter_name, current_value) except pyodbc.Error: e = get_exception() module.fail_json(msg=str(e)) except NotSupportedError: e = get_exception() module.fail_json(msg=str(e), ansible_facts={'vertica_configuration': configuration_facts}) except CannotDropError: e = get_exception() module.fail_json(msg=str(e), ansible_facts={'vertica_configuration': configuration_facts}) except SystemExit: # avoid catching this on python 2.4 raise except Exception: e = get_exception() module.fail_json(msg=e) module.exit_json(changed=changed, parameter=parameter_name, ansible_facts={'vertica_configuration': configuration_facts})
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"_fields": {}}, "attr": "setChanged", "value": {"_type": "Name", "_fields": {"id": "sheet", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "form", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "widget", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "widget", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "PyMultiPageWidget", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": []}}], "name": "pageTitleChanged", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "MultiPageWidgetPlugin", "bases": [{"_type": "Name", "_fields": {"id": "QPyDesignerCustomWidgetPlugin", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class MultiPageWidgetPlugin(QPyDesignerCustomWidgetPlugin): def __init__(self, parent=None): super(MultiPageWidgetPlugin, self).__init__(parent) self.initialized = False def initialize(self, formEditor): if self.initialized: return manager = formEditor.extensionManager() if manager: self.factory = MultiPageWidgetExtensionFactory(manager) manager.registerExtensions(self.factory, Q_TYPEID['QDesignerContainerExtension']) self.initialized = True def isInitialized(self): return self.initialized def createWidget(self, parent): widget = PyMultiPageWidget(parent) widget.currentIndexChanged.connect(self.currentIndexChanged) widget.pageTitleChanged.connect(self.pageTitleChanged) return widget def name(self): return "PyMultiPageWidget" def group(self): return "PyQt Examples" def icon(self): return QIcon() def toolTip(self): return "" def whatsThis(self): return "" def isContainer(self): return True def domXml(self): return ('<widget class="PyMultiPageWidget" name="multipagewidget">' ' <widget class="QWidget" name="page" />' '</widget>') def includeFile(self): return "multipagewidget" def currentIndexChanged(self, index): widget = self.sender() if widget and isinstance(widget, PyMultiPageWidget): form = QDesignerFormWindowInterface.findFormWindow(widget) if form: form.emitSelectionChanged() def pageTitleChanged(self, title): widget = self.sender() if widget and isinstance(widget, PyMultiPageWidget): page = widget.widget(widget.getCurrentIndex()) form = QDesignerFormWindowInterface.findFormWindow(widget) if form: editor = form.core() manager = editor.extensionManager() sheet = manager.extension(page, Q_TYPEID['QDesignerPropertySheetExtension']) # This explicit cast is necessary here sheet = sip.cast(sheet, QPyDesignerPropertySheetExtension) propertyIndex = sheet.indexOf('windowTitle') sheet.setChanged(propertyIndex, True)
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{}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "widget", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getCurrentIndex", "value": {"_type": "Name", "_fields": {"id": "widget", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "widget", "value": {"_type": "Name", "_fields": {"id": "widget", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": 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"keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sheet", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sheet", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "QPyDesignerPropertySheetExtension", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cast", "value": {"_type": "Name", "_fields": {"id": "sip", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "sheet", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "windowTitle"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "indexOf", "value": {"_type": "Name", "_fields": {"id": "sheet", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "propertyIndex", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "propertyIndex", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setChanged", "value": {"_type": "Name", "_fields": {"id": "sheet", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "form", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "widget", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "widget", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "PyMultiPageWidget", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": []}}], "name": "pageTitleChanged", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def pageTitleChanged(self, title): widget = self.sender() if widget and isinstance(widget, PyMultiPageWidget): page = widget.widget(widget.getCurrentIndex()) form = QDesignerFormWindowInterface.findFormWindow(widget) if form: editor = form.core() manager = editor.extensionManager() sheet = manager.extension(page, Q_TYPEID['QDesignerPropertySheetExtension']) # This explicit cast is necessary here sheet = sip.cast(sheet, QPyDesignerPropertySheetExtension) propertyIndex = sheet.indexOf('windowTitle') sheet.setChanged(propertyIndex, True)
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{"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "django.db.models.fields.CharField"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "max_length"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "32"}}]}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "django.db.models.fields.CharField"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "max_length"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "db_index"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "255"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "True"}}]}}]}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "credit"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "complete_apps", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "Migration", "bases": [{"_type": "Name", "_fields": {"id": "SchemaMigration", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class Migration(SchemaMigration): def forwards(self, orm): # Adding field 'CreditProvider.provider_url' db.add_column('credit_creditprovider', 'provider_url', self.gf('django.db.models.fields.URLField')(default='', unique=True, max_length=255), keep_default=False) # Adding field 'CreditProvider.eligibility_duration' db.add_column('credit_creditprovider', 'eligibility_duration', self.gf('django.db.models.fields.PositiveIntegerField')(default=0), keep_default=False) # Adding field 'CreditProvider.active' db.add_column('credit_creditprovider', 'active', self.gf('django.db.models.fields.BooleanField')(default=True), keep_default=False) def backwards(self, orm): # Deleting field 'CreditProvider.provider_url' db.delete_column('credit_creditprovider', 'provider_url') # Deleting field 'CreditProvider.eligibility_duration' db.delete_column('credit_creditprovider', 'eligibility_duration') # Deleting field 'CreditProvider.active' db.delete_column('credit_creditprovider', 'active') models = { 'credit.creditcourse': { 'Meta': {'object_name': 'CreditCourse'}, 'course_key': ('xmodule_django.models.CourseKeyField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'}), 'enabled': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}) }, 'credit.crediteligibility': { 'Meta': {'unique_together': "(('username', 'course'),)", 'object_name': 'CreditEligibility'}, 'course': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'eligibilities'", 'to': "orm['credit.CreditCourse']"}), 'created': ('model_utils.fields.AutoCreatedField', [], {'default': 'datetime.datetime.now'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'modified': ('model_utils.fields.AutoLastModifiedField', [], {'default': 'datetime.datetime.now'}), 'provider': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'eligibilities'", 'to': "orm['credit.CreditProvider']"}), 'username': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}) }, 'credit.creditprovider': { 'Meta': {'object_name': 'CreditProvider'}, 'active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'created': ('model_utils.fields.AutoCreatedField', [], {'default': 'datetime.datetime.now'}), 'display_name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'eligibility_duration': ('django.db.models.fields.PositiveIntegerField', [], {}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'modified': ('model_utils.fields.AutoLastModifiedField', [], {'default': 'datetime.datetime.now'}), 'provider_id': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255', 'db_index': 'True'}), 'provider_url': ('django.db.models.fields.URLField', [], {'unique': 'True', 'max_length': '255'}) }, 'credit.creditrequirement': { 'Meta': {'unique_together': "(('namespace', 'name', 'course'),)", 'object_name': 'CreditRequirement'}, 'active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'course': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'credit_requirements'", 'to': "orm['credit.CreditCourse']"}), 'created': ('model_utils.fields.AutoCreatedField', [], {'default': 'datetime.datetime.now'}), 'criteria': ('jsonfield.fields.JSONField', [], {}), 'display_name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'modified': ('model_utils.fields.AutoLastModifiedField', [], {'default': 'datetime.datetime.now'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'namespace': ('django.db.models.fields.CharField', [], {'max_length': '255'}) }, 'credit.creditrequirementstatus': { 'Meta': {'object_name': 'CreditRequirementStatus'}, 'created': ('model_utils.fields.AutoCreatedField', [], {'default': 'datetime.datetime.now'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'modified': ('model_utils.fields.AutoLastModifiedField', [], {'default': 'datetime.datetime.now'}), 'reason': ('jsonfield.fields.JSONField', [], {'default': '{}'}), 'requirement': ('django.db.models.fields.related.ForeignKey', [], {'related_name': "'statuses'", 'to': "orm['credit.CreditRequirement']"}), 'status': ('django.db.models.fields.CharField', [], {'max_length': '32'}), 'username': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}) } } complete_apps = ['credit']
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{"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "modified_time", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestStorageMixin", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class TestStorageMixin(object): def open(self, name, args, kwargs): slog.debug('open: %s' % name) return super(TestStorageMixin, self).open(name, args, *kwargs) def save(self, name, args, *kwargs): slog.debug('save: %s' % name) return super(TestStorageMixin, self).save(name, args, *kwargs) def get_valid_name(self, name, args, *kwargs): slog.debug('get_valid_name: %s' % name) return super(TestStorageMixin, self).get_valid_name(name, args, *kwargs) def get_available_name(self, name, args, *kwargs): slog.debug('get_available_name: %s' % name) return super(TestStorageMixin, self).get_available_name(name, args, *kwargs) def path(self, name, args, *kwargs): # slog.debug('path: %s' % name) return super(TestStorageMixin, self).path(name, args, *kwargs) def delete(self, name, args, *kwargs): slog.debug('delete: %s' % name) return super(TestStorageMixin, self).delete(name, args, *kwargs) def exists(self, name, args, *kwargs): slog.debug('exists: %s' % name) return super(TestStorageMixin, self).exists(name, args, *kwargs) def listdir(self, name, args, *kwargs): slog.debug('listdir: %s' % name) return super(TestStorageMixin, self).listdir(name, args, *kwargs) def size(self, name, args, *kwargs): slog.debug('size: %s' % name) return super(TestStorageMixin, self).size(name, args, *kwargs) def url(self, name, args, *kwargs): # slog.debug('url: %s' % name) return super(TestStorageMixin, self).url(name, args, *kwargs) def accessed_time(self, name, args, *kwargs): slog.debug('accessed_time: %s' % name) return super(TestStorageMixin, self).accessed_time(name, args, *kwargs) def created_time(self, name, args, *kwargs): slog.debug('created_time: %s' % name) return super(TestStorageMixin, self).created_time(name, args, *kwargs) def modified_time(self, name, args, *kwargs): slog.debug('modified_time: %s' % name) return super(TestStorageMixin, self).modified_time(name, args, **kwargs)
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mock.sentinel.mount_options, mock.sentinel.export_path, mock.sentinel.mount_path, run_as_root=True)
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"Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_mkdtemp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_remove_remote_dir_rsync", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_remove_remote_dir_rsync(self, mock_execute, mock_mkdtemp): remotefs.RsyncDriver().remove_dir('host', 'dest', None, None) rsync_call_args = mock.call('rsync', '--archive', '--delete-excluded', '/tmp/Venus/', 'host:dest', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[0], rsync_call_args) rsync_call_args = mock.call('rsync', '--archive', '--delete', '--include', 'dest', '--exclude', '*', '/tmp/Venus/', 'host:', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[1], rsync_call_args) rm_call_args = mock.call('rm', '-rf', '/tmp/Venus') self.assertEqual(mock_execute.mock_calls[2], rm_call_args) self.assertEqual(3, mock_execute.call_count) self.assertEqual(1, mock_mkdtemp.call_count)
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{"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_mkdtemp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_remove_remote_file_rsync", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_remove_remote_file_rsync(self, mock_execute, mock_mkdtemp): remotefs.RsyncDriver().remove_file('host', 'dest', None, None) rsync_call_args = mock.call('rsync', '--archive', '--delete', '--include', 'dest', '--exclude', '*', '/tmp/Mercury/', 'host:', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[0], rsync_call_args) rm_call_args = mock.call('rm', '-rf', '/tmp/Mercury') self.assertEqual(mock_execute.mock_calls[1], rm_call_args) self.assertEqual(2, mock_execute.call_count) self.assertEqual(1, mock_mkdtemp.call_count)
12,557	[ 0.010837173089385033, 0.004793807864189148, 0.04033132642507553, -0.04023919254541397, 0.027663005515933037, 0.007520375773310661, 0.02303331159055233, 0.0012006113538518548, -0.001237320713698864, 0.022422928363084793, 0.01739014871418476, 0.038603827357292175, 0.027409639209508896, -0.05...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "mock_execute", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "mock_mkdtemp", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", 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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "rm"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "-rf"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/tmp/Jupiter"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "rm_call_args", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mock_calls", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "rm_call_args", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_mkdtemp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_create_remote_dir_rsync", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_create_remote_dir_rsync(self, mock_execute, mock_mkdtemp): remotefs.RsyncDriver().create_dir('host', 'dest_dir', None, None) mkdir_call_args = mock.call('mkdir', '-p', '/tmp/Jupiter/dest_dir', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[0], mkdir_call_args) rsync_call_args = mock.call('rsync', '--archive', '--relative', '--no-implied-dirs', '/tmp/Jupiter/./dest_dir', 'host:/', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[1], rsync_call_args) rm_call_args = mock.call('rm', '-rf', '/tmp/Jupiter') self.assertEqual(mock_execute.mock_calls[2], rm_call_args) self.assertEqual(3, mock_execute.call_count) self.assertEqual(1, mock_mkdtemp.call_count)
12,558	[ 0.027817511931061745, 0.01929316483438015, 0.04328460618853569, -0.05186709761619568, 0.02684064209461212, -0.0032998407259583473, 0.028026839718222618, -0.0038289781659841537, -0.010483899153769016, 0.010716486722230911, 0.019700193777680397, 0.02052588202059269, 0.04507553204894066, -0.0...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "mock_execute", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "mock_mkdtemp", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", 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"_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "on_completion", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}, {"_type": "keyword", "_fields": {"arg": "on_execute", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "mkdir_call_args", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mock_calls", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "mkdir_call_args", "ctx": {"_type": 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null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mock_calls", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "rsync_call_args", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "rm"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "-rf"}}, {"_type": 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{"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Name", "_fields": {"id": "mock_mkdtemp", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_create_remote_file_rsync", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_create_remote_file_rsync(self, mock_execute, mock_mkdtemp): remotefs.RsyncDriver().create_file('host', 'dest_dir', None, None) mkdir_call_args = mock.call('mkdir', '-p', '/tmp/Mars/', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[0], mkdir_call_args) touch_call_args = mock.call('touch', '/tmp/Mars/dest_dir', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[1], touch_call_args) rsync_call_args = mock.call('rsync', '--archive', '--relative', '--no-implied-dirs', '/tmp/Mars/./dest_dir', 'host:/', on_completion=None, on_execute=None) self.assertEqual(mock_execute.mock_calls[2], rsync_call_args) rm_call_args = mock.call('rm', '-rf', '/tmp/Mars') self.assertEqual(mock_execute.mock_calls[3], rm_call_args) self.assertEqual(4, mock_execute.call_count) self.assertEqual(1, mock_mkdtemp.call_count)
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12,562	[ 0.04249889403581619, -0.012908647768199444, 0.049305882304906845, -0.03636365011334419, 0.05418721213936806, 0.009762655012309551, 0.030631449073553085, -0.010630321688950062, 0.012751908041536808, -0.0086038988083601, 0.04818631336092949, -0.016256162896752357, 0.03228841349482536, 0.0023...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "mock_execute", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1.2.3.4:/home/SpaceOdyssey"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/home/favourite"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": true}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "copy_file", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SshDriver", "value": {"_type": "Name", "_fields": {"id": "remotefs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "scp"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1.2.3.4:/home/SpaceOdyssey"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/home/favourite"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_called_once_with", "value": {"_type": "Name", "_fields": {"id": "mock_execute", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "on_completion", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}, {"_type": "keyword", "_fields": {"arg": "on_execute", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}}}], "name": "test_remote_copy_file_ssh", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_remote_copy_file_ssh(self, mock_execute): remotefs.SshDriver().copy_file('1.2.3.4:/home/SpaceOdyssey', '/home/favourite', None, None, True) mock_execute.assert_called_once_with('scp', '1.2.3.4:/home/SpaceOdyssey', '/home/favourite', on_completion=None, on_execute=None)
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check some classical latin accentuated symbols a = '\xe0\xe1\xe2\xe3\xe4\xe5\xe7\xe8\xe9\xea\xeb' expected = 'aaaaaaceeee' assert_equal(strip_accents_ascii(a), expected) a = '\xec\xed\xee\xef\xf1\xf2\xf3\xf4\xf5\xf6\xf9\xfa\xfb\xfc\xfd' expected = 'iiiinooooouuuuy' assert_equal(strip_accents_ascii(a), expected) # check some arabic a = '\u0625' # halef with a hamza below expected = '' # halef has no direct ascii match assert_equal(strip_accents_ascii(a), expected) # mix letters accentuated and not a = "this is \xe0 test" expected = 'this is a test' assert_equal(strip_accents_ascii(a), expected)
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check some classical latin accentuated symbols a = '\xe0\xe1\xe2\xe3\xe4\xe5\xe7\xe8\xe9\xea\xeb' expected = 'aaaaaaceeee' assert_equal(strip_accents_unicode(a), expected) a = '\xec\xed\xee\xef\xf1\xf2\xf3\xf4\xf5\xf6\xf9\xfa\xfb\xfc\xfd' expected = 'iiiinooooouuuuy' assert_equal(strip_accents_unicode(a), expected) # check some arabic a = '\u0625' # halef with a hamza below expected = '\u0627' # simple halef assert_equal(strip_accents_unicode(a), expected) # mix letters accentuated and not a = "this is \xe0 test" expected = 'this is a test' assert_equal(strip_accents_unicode(a), expected)
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{"_type": "Name", "_fields": {"id": "HashingVectorizer", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "Vectorizer", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_word_analyzer_unigrams", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_word_analyzer_unigrams(): for Vectorizer in (CountVectorizer, HashingVectorizer): wa = Vectorizer(strip_accents='ascii').build_analyzer() text = ("J'ai mang\xe9 du kangourou ce midi, " "c'\xe9tait pas tr\xeas bon.") expected = ['ai', 'mange', 'du', 'kangourou', 'ce', 'midi', 'etait', 'pas', 'tres', 'bon'] assert_equal(wa(text), expected) text = "This is a test, really.\n\n I met Harry yesterday." expected = ['this', 'is', 'test', 'really', 'met', 'harry', 'yesterday'] assert_equal(wa(text), expected) wa = Vectorizer(input='file').build_analyzer() text = StringIO("This is a test with a file-like object!") expected = ['this', 'is', 'test', 'with', 'file', 'like', 'object'] assert_equal(wa(text), expected) # with custom preprocessor wa = Vectorizer(preprocessor=uppercase).build_analyzer() text = ("J'ai mang\xe9 du kangourou ce midi, " " c'\xe9tait pas tr\xeas bon.") expected = ['AI', 'MANGE', 'DU', 'KANGOUROU', 'CE', 'MIDI', 'ETAIT', 'PAS', 'TRES', 'BON'] assert_equal(wa(text), expected) # with custom tokenizer wa = Vectorizer(tokenizer=split_tokenize, strip_accents='ascii').build_analyzer() text = ("J'ai mang\xe9 du kangourou ce midi, " "c'\xe9tait pas tr\xeas bon.") expected = ["j'ai", 'mange', 'du', 'kangourou', 'ce', 'midi,', "c'etait", 'pas', 'tres', 'bon.'] assert_equal(wa(text), expected)
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assert_equal(cnga(text)[:5], expected) expected = ['s tres', ' tres ', 'tres b', 'res bo', 'es bon'] assert_equal(cnga(text)[-5:], expected) text = "This \n\tis a test, really.\n\n I met Harry yesterday" expected = ['thi', 'his', 'is ', 's i', ' is'] assert_equal(cnga(text)[:5], expected) expected = [' yeste', 'yester', 'esterd', 'sterda', 'terday'] assert_equal(cnga(text)[-5:], expected) cnga = CountVectorizer(input='file', analyzer='char', ngram_range=(3, 6)).build_analyzer() text = StringIO("This is a test with a file-like object!") expected = ['thi', 'his', 'is ', 's i', ' is'] assert_equal(cnga(text)[:5], expected)
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It should fail, # because we have given it an incorrect encoding. wa = CountVectorizer(ngram_range=(1, 2), encoding='ascii').build_analyzer() assert_raises(UnicodeDecodeError, wa, text_bytes) ca = CountVectorizer(analyzer='char', ngram_range=(3, 6), encoding='ascii').build_analyzer() assert_raises(UnicodeDecodeError, ca, text_bytes)
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"ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "input", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "file"}}}}, {"_type": "keyword", "_fields": {"arg": "analyzer", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "char_wb"}}}}, {"_type": "keyword", "_fields": {"arg": "ngram_range", "value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}]}}}}]}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "cnga", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "A test with a file-like object!"}}], "func": {"_type": "Name", "_fields": {"id": "StringIO", "ctx": {"_type": "Load", 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"_fields": {"step": null, "lower": null, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 6}}}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "cnga", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_char_wb_ngram_analyzer", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_char_wb_ngram_analyzer(): cnga = CountVectorizer(analyzer='char_wb', strip_accents='unicode', ngram_range=(3, 6)).build_analyzer() text = "This \n\tis a test, really.\n\n I met Harry yesterday" expected = [' th', 'thi', 'his', 'is ', ' thi'] assert_equal(cnga(text)[:5], expected) expected = ['yester', 'esterd', 'sterda', 'terday', 'erday '] assert_equal(cnga(text)[-5:], expected) cnga = CountVectorizer(input='file', analyzer='char_wb', ngram_range=(3, 6)).build_analyzer() text = StringIO("A test with a file-like object!") expected = [' a ', ' te', 'tes', 'est', 'st ', ' tes'] assert_equal(cnga(text)[:6], expected)
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"Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "iter", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "defaultdict", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "partial", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "typ", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_countvectorizer_custom_vocabulary", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_countvectorizer_custom_vocabulary(): vocab = {"pizza": 0, "beer": 1} terms = set(vocab.keys()) # Try a few of the supported types. for typ in [dict, list, iter, partial(defaultdict, int)]: v = typ(vocab) vect = CountVectorizer(vocabulary=v) vect.fit(JUNK_FOOD_DOCS) if isinstance(v, Mapping): assert_equal(vect.vocabulary_, vocab) else: assert_equal(set(vect.vocabulary_), terms) X = vect.transform(JUNK_FOOD_DOCS) assert_equal(X.shape[1], len(terms))
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"_fields": {"kind": null, "value": "other"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "words"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "stoplist", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_params", "value": {"_type": "Name", "_fields": {"id": "cv", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "stop_words", "value": {"_type": "Name", "_fields": {"id": "stoplist", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_stop_words", "value": {"_type": "Name", "_fields": {"id": "cv", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "stoplist", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_countvectorizer_stop_words", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_countvectorizer_stop_words(): cv = CountVectorizer() cv.set_params(stop_words='english') assert_equal(cv.get_stop_words(), ENGLISH_STOP_WORDS) cv.set_params(stop_words='_bad_str_stop_') assert_raises(ValueError, cv.get_stop_words) cv.set_params(stop_words='_bad_unicode_stop_') assert_raises(ValueError, cv.get_stop_words) stoplist = ['some', 'other', 'words'] cv.set_params(stop_words=stoplist) assert_equal(cv.get_stop_words(), stoplist)
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{}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pipe", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ALL_FOOD_DOCS", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "pipe", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vocabulary_", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "count"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "named_steps", "value": {"_type": "Name", "_fields": {"id": "pipe", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "what_we_like", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "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": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "shape", "value": {"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "what_we_like", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_countvectorizer_custom_vocabulary_pipeline", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_countvectorizer_custom_vocabulary_pipeline(): what_we_like = ["pizza", "beer"] pipe = Pipeline([ ('count', CountVectorizer(vocabulary=what_we_like)), ('tfidf', TfidfTransformer())]) X = pipe.fit_transform(ALL_FOOD_DOCS) assert_equal(set(pipe.named_steps['count'].vocabulary_), set(what_we_like)) assert_equal(X.shape[1], len(what_we_like))
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"func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lower", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_in", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "CountVectorizer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "max_df", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}}}, {"_type": "keyword", "_fields": {"arg": "stop_words", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "english"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "to be or not to be"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "and me too"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "and so do you"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit", "value": {"_type": "Name", "_fields": {"id": "v", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assert", "_fields": {"msg": {"_type": "Constant", "_fields": {"kind": null, "value": "we shouldn't get here"}}, "test": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "empty vocabulary"}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lower", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_in", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "test_countvectorizer_empty_vocabulary", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_countvectorizer_empty_vocabulary(): try: vect = CountVectorizer(vocabulary=[]) vect.fit(["foo"]) assert False, "we shouldn't get here" except ValueError as e: assert_in("empty vocabulary", str(e).lower()) try: v = CountVectorizer(max_df=1.0, stop_words="english") # fit on stopwords only v.fit(["to be or not to be", "and me too", "and so do you"]) assert False, "we shouldn't get here" except ValueError as e: assert_in("empty vocabulary", str(e).lower())
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[{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "TfidfTransformer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "smooth_idf", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "norm", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "l2"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Compare", "_fields": {"ops": [{"_type": "GtE", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_true", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_tf_idf_smoothing", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_tf_idf_smoothing(): X = [[1, 1, 1], [1, 1, 0], [1, 0, 0]] tr = TfidfTransformer(smooth_idf=True, norm='l2') tfidf = tr.fit_transform(X).toarray() assert_true((tfidf >= 0).all()) # check normalization assert_array_almost_equal((tfidf ** 2).sum(axis=1), [1., 1., 1.]) # this is robust to features with only zeros X = [[1, 1, 0], [1, 1, 0], [1, 0, 0]] tr = TfidfTransformer(smooth_idf=True, norm='l2') tfidf = tr.fit_transform(X).toarray() assert_true((tfidf >= 0).all())
12,575	[ 0.016818156465888023, -0.0007335658301599324, -0.030807536095380783, 0.011564712040126324, -0.004516536835581064, -0.029642745852470398, -0.00038702561869286, 0.012681960128247738, 0.01861288584768772, 0.10839688777923584, 0.02169126272201538, 0.016247646883130074, -0.02731316350400448, 0....	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "TfidfTransformer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "smooth_idf", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "norm", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "l2"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Compare", "_fields": {"ops": [{"_type": "GtE", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_true", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sum", "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "TfidfTransformer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "smooth_idf", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "norm", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "l2"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "clean_warning_registry", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 1.0}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "w", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "numpy_provides_div0_warning", "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": "catch_warnings", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "record", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "optional_vars": {"_type": "Name", "_fields": {"id": "w", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "divide by zero"}}, "targets": [{"_type": "Name", "_fields": {"id": "in_warning_message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "RuntimeWarning", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "in_warning_message", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_warns_message", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Numpy does not provide div 0 warnings."}}], "func": {"_type": "Name", "_fields": {"id": "SkipTest", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "numpy_provides_div0_warning", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "name": "test_tfidf_no_smoothing", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_tfidf_no_smoothing(): X = [[1, 1, 1], [1, 1, 0], [1, 0, 0]] tr = TfidfTransformer(smooth_idf=False, norm='l2') tfidf = tr.fit_transform(X).toarray() assert_true((tfidf >= 0).all()) # check normalization assert_array_almost_equal((tfidf ** 2).sum(axis=1), [1., 1., 1.]) # the lack of smoothing make IDF fragile in the presence of feature with # only zeros X = [[1, 1, 0], [1, 1, 0], [1, 0, 0]] tr = TfidfTransformer(smooth_idf=False, norm='l2') clean_warning_registry() with warnings.catch_warnings(record=True) as w: 1. / np.array([0.]) numpy_provides_div0_warning = len(w) == 1 in_warning_message = 'divide by zero' tfidf = assert_warns_message(RuntimeWarning, in_warning_message, tr.fit_transform, X).toarray() if not numpy_provides_div0_warning: raise SkipTest("Numpy does not provide div 0 warnings.")
12,576	[ -0.022283246740698814, -0.016786474734544754, 0.01746172457933426, -0.027768170461058617, 0.03499452769756317, -0.00646225968375802, 0.016146764159202576, -0.0033110936637967825, 0.00873086228966713, 0.0623125322163105, 0.002090905327349901, 0.031085187569260597, -0.01848052255809307, 0.03...	9	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "TfidfTransformer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "sublinear_tf", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "use_idf", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "norm", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "tr", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_greater", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_greater", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Name", "_fields": {"id": "assert_less", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "tfidf", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "assert_less", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_sublinear_tf", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_sublinear_tf(): X = [[1], [2], [3]] tr = TfidfTransformer(sublinear_tf=True, use_idf=False, norm=None) tfidf = tr.fit_transform(X).toarray() assert_equal(tfidf[0], 1) assert_greater(tfidf[1], tfidf[0]) assert_greater(tfidf[2], tfidf[1]) assert_less(tfidf[1], 2) assert_less(tfidf[2], 3)
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"_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "sublinear_tf", "value": {"_type": "Name", "_fields": {"id": "tv", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sublinear_tf", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_tfidf", "value": {"_type": "Name", "_fields": {"id": "tv", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_true", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_tfidf_vectorizer_setters", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_tfidf_vectorizer_setters(): tv = TfidfVectorizer(norm='l2', use_idf=False, smooth_idf=False, sublinear_tf=False) tv.norm = 'l1' assert_equal(tv._tfidf.norm, 'l1') tv.use_idf = True assert_true(tv._tfidf.use_idf) tv.smooth_idf = True assert_true(tv._tfidf.smooth_idf) tv.sublinear_tf = True assert_true(tv._tfidf.sublinear_tf)
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"_invalid_analyzer_type_"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "set_params", "value": {"_type": "Name", "_fields": {"id": "v3", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build_analyzer", "value": {"_type": "Name", "_fields": {"id": "v3", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_vectorizer", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_vectorizer(): # raw documents as an iterator train_data = iter(ALL_FOOD_DOCS[:-1]) test_data = [ALL_FOOD_DOCS[-1]] n_train = len(ALL_FOOD_DOCS) - 1 # test without vocabulary v1 = CountVectorizer(max_df=0.5) counts_train = v1.fit_transform(train_data) if hasattr(counts_train, 'tocsr'): counts_train = counts_train.tocsr() assert_equal(counts_train[0, v1.vocabulary_["pizza"]], 2) # build a vectorizer v1 with the same vocabulary as the one fitted by v1 v2 = CountVectorizer(vocabulary=v1.vocabulary_) # compare that the two vectorizer give the same output on the test sample for v in (v1, v2): counts_test = v.transform(test_data) if hasattr(counts_test, 'tocsr'): counts_test = counts_test.tocsr() vocabulary = v.vocabulary_ assert_equal(counts_test[0, vocabulary["salad"]], 1) assert_equal(counts_test[0, vocabulary["tomato"]], 1) assert_equal(counts_test[0, vocabulary["water"]], 1) # stop word from the fixed list assert_false("the" in vocabulary) # stop word found automatically by the vectorizer DF thresholding # words that are high frequent across the complete corpus are likely # to be not informative (either real stop words of extraction # artifacts) assert_false("copyright" in vocabulary) # not present in the sample assert_equal(counts_test[0, vocabulary["coke"]], 0) assert_equal(counts_test[0, vocabulary["burger"]], 0) assert_equal(counts_test[0, vocabulary["beer"]], 0) assert_equal(counts_test[0, vocabulary["pizza"]], 0) # test tf-idf t1 = TfidfTransformer(norm='l1') tfidf = t1.fit(counts_train).transform(counts_train).toarray() assert_equal(len(t1.idf_), len(v1.vocabulary_)) assert_equal(tfidf.shape, (n_train, len(v1.vocabulary_))) # test tf-idf with new data tfidf_test = t1.transform(counts_test).toarray() assert_equal(tfidf_test.shape, (len(test_data), len(v1.vocabulary_))) # test tf alone t2 = TfidfTransformer(norm='l1', use_idf=False) tf = t2.fit(counts_train).transform(counts_train).toarray() assert_equal(t2.idf_, None) # test idf transform with unlearned idf vector t3 = TfidfTransformer(use_idf=True) assert_raises(ValueError, t3.transform, counts_train) # test idf transform with incompatible n_features X = [[1, 1, 5], [1, 1, 0]] t3.fit(X) X_incompt = [[1, 3], [1, 3]] assert_raises(ValueError, t3.transform, X_incompt) # L1-normalized term frequencies sum to one assert_array_almost_equal(np.sum(tf, axis=1), [1.0] * n_train) # test the direct tfidf vectorizer # (equivalent to term count vectorizer + tfidf transformer) train_data = iter(ALL_FOOD_DOCS[:-1]) tv = TfidfVectorizer(norm='l1') tv.max_df = v1.max_df tfidf2 = tv.fit_transform(train_data).toarray() assert_false(tv.fixed_vocabulary_) assert_array_almost_equal(tfidf, tfidf2) # test the direct tfidf vectorizer with new data tfidf_test2 = tv.transform(test_data).toarray() assert_array_almost_equal(tfidf_test, tfidf_test2) # test transform on unfitted vectorizer with empty vocabulary v3 = CountVectorizer(vocabulary=None) assert_raises(ValueError, v3.transform, train_data) # ascii preprocessor? v3.set_params(strip_accents='ascii', lowercase=False) assert_equal(v3.build_preprocessor(), strip_accents_ascii) # error on bad strip_accents param v3.set_params(strip_accents='_gabbledegook_', preprocessor=None) assert_raises(ValueError, v3.build_preprocessor) # error with bad analyzer type v3.set_params = '_invalid_analyzer_type_' assert_raises(ValueError, v3.build_analyzer)
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"test_hashing_vectorizer", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_hashing_vectorizer(): v = HashingVectorizer() X = v.transform(ALL_FOOD_DOCS) token_nnz = X.nnz assert_equal(X.shape, (len(ALL_FOOD_DOCS), v.n_features)) assert_equal(X.dtype, v.dtype) # By default the hashed values receive a random sign and l2 normalization # makes the feature values bounded assert_true(np.min(X.data) > -1) assert_true(np.min(X.data) < 0) assert_true(np.max(X.data) > 0) assert_true(np.max(X.data) < 1) # Check that the rows are normalized for i in range(X.shape[0]): assert_almost_equal(np.linalg.norm(X[0].data, 2), 1.0) # Check vectorization with some non-default parameters v = HashingVectorizer(ngram_range=(1, 2), non_negative=True, norm='l1') X = v.transform(ALL_FOOD_DOCS) assert_equal(X.shape, (len(ALL_FOOD_DOCS), v.n_features)) assert_equal(X.dtype, v.dtype) # ngrams generate more non zeros ngrams_nnz = X.nnz assert_true(ngrams_nnz > token_nnz) assert_true(ngrams_nnz < 2 * token_nnz) # makes the feature values bounded assert_true(np.min(X.data) > 0) assert_true(np.max(X.data) < 1) # Check that the rows are normalized for i in range(X.shape[0]): assert_almost_equal(np.linalg.norm(X[0].data, 1), 1.0)
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{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "feature_names", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "enumerate", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "test_feature_names", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_feature_names(): cv = CountVectorizer(max_df=0.5) # test for Value error on unfitted/empty vocabulary assert_raises(ValueError, cv.get_feature_names) X = cv.fit_transform(ALL_FOOD_DOCS) n_samples, n_features = X.shape assert_equal(len(cv.vocabulary_), n_features) feature_names = 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"Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "the"}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "counts_None", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "argmax", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "value": {"_type": "Name", "_fields": {"id": "features_None", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_count_vectorizer_max_features", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_count_vectorizer_max_features(): # Regression test: max_features didn't work correctly in 0.14. cv_1 = CountVectorizer(max_features=1) cv_3 = CountVectorizer(max_features=3) cv_None = CountVectorizer(max_features=None) counts_1 = cv_1.fit_transform(JUNK_FOOD_DOCS).sum(axis=0) counts_3 = cv_3.fit_transform(JUNK_FOOD_DOCS).sum(axis=0) counts_None = cv_None.fit_transform(JUNK_FOOD_DOCS).sum(axis=0) features_1 = cv_1.get_feature_names() features_3 = cv_3.get_feature_names() features_None = cv_None.get_feature_names() # The most common feature is "the", with frequency 7. assert_equal(7, counts_1.max()) assert_equal(7, counts_3.max()) assert_equal(7, counts_None.max()) # The most common feature should be the same assert_equal("the", features_1[np.argmax(counts_1)]) assert_equal("the", features_3[np.argmax(counts_3)]) assert_equal("the", features_None[np.argmax(counts_None)])
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"_fields": {}}}}, "type_comment": null}}], "name": "test_vectorizer_max_features", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_vectorizer_max_features(): vec_factories = ( CountVectorizer, TfidfVectorizer, ) expected_vocabulary = set(['burger', 'beer', 'salad', 'pizza']) expected_stop_words = set([u'celeri', u'tomato', u'copyright', u'coke', u'sparkling', u'water', u'the']) for vec_factory in vec_factories: # test bounded number of extracted features vectorizer = vec_factory(max_df=0.6, max_features=4) vectorizer.fit(ALL_FOOD_DOCS) assert_equal(set(vectorizer.vocabulary_), expected_vocabulary) assert_equal(vectorizer.stop_words_, expected_stop_words)
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"test_vectorizer_max_df", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_vectorizer_max_df(): test_data = ['abc', 'dea', 'eat'] vect = CountVectorizer(analyzer='char', max_df=1.0) vect.fit(test_data) assert_true('a' in vect.vocabulary_.keys()) assert_equal(len(vect.vocabulary_.keys()), 6) assert_equal(len(vect.stop_words_), 0) vect.max_df = 0.5 # 0.5 * 3 documents -> max_doc_count == 1.5 vect.fit(test_data) assert_true('a' not in vect.vocabulary_.keys()) # {ae} ignored assert_equal(len(vect.vocabulary_.keys()), 4) # {bcdt} remain assert_true('a' in vect.stop_words_) assert_equal(len(vect.stop_words_), 2) vect.max_df = 1 vect.fit(test_data) assert_true('a' not in vect.vocabulary_.keys()) # {ae} ignored assert_equal(len(vect.vocabulary_.keys()), 4) # {bcdt} remain assert_true('a' in vect.stop_words_) assert_equal(len(vect.stop_words_), 2)
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assert_equal(np.max(X[0:1].data), 3) assert_equal(np.max(X[1:2].data), 2) assert_equal(X.dtype, np.float64) # using boolean features, we can fetch the binary occurrence info # instead. vect = HashingVectorizer(analyzer='char', non_negative=True, binary=True, norm=None) X = vect.transform(test_data) assert_equal(np.max(X.data), 1) assert_equal(X.dtype, np.float64) # check the ability to change the dtype vect = HashingVectorizer(analyzer='char', non_negative=True, binary=True, norm=None, dtype=np.float64) X = vect.transform(test_data) assert_equal(X.dtype, np.float64)
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inversed_terms) # Test that inverse_transform also works with numpy arrays transformed_data = transformed_data.toarray() inversed_data2 = vectorizer.inverse_transform(transformed_data) for terms, terms2 in zip(inversed_data, inversed_data2): assert_array_equal(np.sort(terms), np.sort(terms2))
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"_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fixed_vocabulary_", "value": {"_type": "Name", "_fields": {"id": "best_vectorizer", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_false", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_vectorizer_pipeline_grid_selection", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_vectorizer_pipeline_grid_selection(): # raw documents data = JUNK_FOOD_DOCS + NOTJUNK_FOOD_DOCS # label junk food as -1, the others as +1 target = [-1] * len(JUNK_FOOD_DOCS) + [1] * len(NOTJUNK_FOOD_DOCS) # split the dataset for model development and final evaluation train_data, test_data, target_train, target_test = train_test_split( data, target, test_size=.1, random_state=0) pipeline = Pipeline([('vect', TfidfVectorizer()), ('svc', LinearSVC())]) parameters = { 'vect__ngram_range': [(1, 1), (1, 2)], 'vect__norm': ('l1', 'l2'), 'svc__loss': ('hinge', 'squared_hinge'), } # find the best parameters for both the feature extraction and the # classifier grid_search = GridSearchCV(pipeline, parameters, n_jobs=1) # Check that the best model found by grid search is 100% correct on the # held out evaluation set. pred = grid_search.fit(train_data, target_train).predict(test_data) assert_array_equal(pred, target_test) # on this toy dataset bigram representation which is used in the last of # the grid_search is considered the best estimator since they all converge # to 100% accuracy models assert_equal(grid_search.best_score_, 1.0) best_vectorizer = grid_search.best_estimator_.named_steps['vect'] assert_equal(best_vectorizer.ngram_range, (1, 1)) assert_equal(best_vectorizer.norm, 'l2') assert_false(best_vectorizer.fixed_vocabulary_)
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raw documents data = JUNK_FOOD_DOCS + NOTJUNK_FOOD_DOCS # label junk food as -1, the others as +1 target = [-1] * len(JUNK_FOOD_DOCS) + [1] * len(NOTJUNK_FOOD_DOCS) pipeline = Pipeline([('vect', TfidfVectorizer()), ('svc', LinearSVC())]) cv_scores = cross_val_score(pipeline, data, target, cv=3) assert_array_equal(cv_scores, [1., 1., 1.])
12,591	[ -0.009391912259161472, 0.021944621577858925, -0.003405096009373665, -0.026227382943034172, -0.008366462774574757, -0.006852416321635246, 0.02299419976770878, 0.0035408171825110912, 0.010393233969807625, 0.051248352974653244, 0.032404206693172455, -0.009940829128026962, -0.009385880082845688,...	8	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ â Ð¾Ð±ÑÐ¸ÑÐ½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ°Ð·Ð´ÐµÐ» Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ°, Ð¸Ð·ÑÑÐ°ÑÑÐ¸Ð¹ Ð¼ÐµÑÐ¾Ð´Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð², ÑÐ¿Ð¾ÑÐ¾Ð±Ð½ÑÑ Ð¾Ð±ÑÑÐ°ÑÑÑÑ."}}, "targets": [{"_type": "Name", "_fields": {"id": "document", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "CountVectorizer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "vect", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "document", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "vect", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "X_counted", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "shape", "value": {"_type": "Name", "_fields": {"id": "X_counted", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 15}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "HashingVectorizer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "norm", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}, {"_type": "keyword", "_fields": {"arg": "non_negative", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 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"_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "X_counted", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sort", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "X_hashed", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sort", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_vectorizer_unicode", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_vectorizer_unicode(): # tests that the count vectorizer works with cyrillic. document = ( "\xd0\x9c\xd0\xb0\xd1\x88\xd0\xb8\xd0\xbd\xd0\xbd\xd0\xbe\xd0" "\xb5 \xd0\xbe\xd0\xb1\xd1\x83\xd1\x87\xd0\xb5\xd0\xbd\xd0\xb8\xd0" "\xb5 \xe2\x80\x94 \xd0\xbe\xd0\xb1\xd1\x88\xd0\xb8\xd1\x80\xd0\xbd" "\xd1\x8b\xd0\xb9 \xd0\xbf\xd0\xbe\xd0\xb4\xd1\x80\xd0\xb0\xd0\xb7" "\xd0\xb4\xd0\xb5\xd0\xbb \xd0\xb8\xd1\x81\xd0\xba\xd1\x83\xd1\x81" "\xd1\x81\xd1\x82\xd0\xb2\xd0\xb5\xd0\xbd\xd0\xbd\xd0\xbe\xd0\xb3" "\xd0\xbe \xd0\xb8\xd0\xbd\xd1\x82\xd0\xb5\xd0\xbb\xd0\xbb\xd0" "\xb5\xd0\xba\xd1\x82\xd0\xb0, \xd0\xb8\xd0\xb7\xd1\x83\xd1\x87" "\xd0\xb0\xd1\x8e\xd1\x89\xd0\xb8\xd0\xb9 \xd0\xbc\xd0\xb5\xd1\x82" "\xd0\xbe\xd0\xb4\xd1\x8b \xd0\xbf\xd0\xbe\xd1\x81\xd1\x82\xd1\x80" "\xd0\xbe\xd0\xb5\xd0\xbd\xd0\xb8\xd1\x8f \xd0\xb0\xd0\xbb\xd0\xb3" "\xd0\xbe\xd1\x80\xd0\xb8\xd1\x82\xd0\xbc\xd0\xbe\xd0\xb2, \xd1\x81" "\xd0\xbf\xd0\xbe\xd1\x81\xd0\xbe\xd0\xb1\xd0\xbd\xd1\x8b\xd1\x85 " "\xd0\xbe\xd0\xb1\xd1\x83\xd1\x87\xd0\xb0\xd1\x82\xd1\x8c\xd1\x81\xd1" "\x8f.") vect = CountVectorizer() X_counted = vect.fit_transform([document]) assert_equal(X_counted.shape, (1, 15)) vect = HashingVectorizer(norm=None, non_negative=True) X_hashed = vect.transform([document]) assert_equal(X_hashed.shape, (1, 2 ** 20)) # No collisions on such a small dataset assert_equal(X_counted.nnz, X_hashed.nnz) # When norm is None and non_negative, the tokens are counted up to # collisions assert_array_equal(np.sort(X_counted.data), np.sort(X_hashed.data))
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"Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "copy", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__class__", "value": {"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_params", "value": {"_type": "Name", "_fields": {"id": "copy", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_params", "value": {"_type": "Name", "_fields": {"id": "orig", "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": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "JUNK_FOOD_DOCS", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "copy", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "JUNK_FOOD_DOCS", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "instances", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_pickling_vectorizer", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_pickling_vectorizer(): instances = [ HashingVectorizer(), HashingVectorizer(norm='l1'), HashingVectorizer(binary=True), HashingVectorizer(ngram_range=(1, 2)), CountVectorizer(), CountVectorizer(preprocessor=strip_tags), CountVectorizer(analyzer=lazy_analyze), CountVectorizer(preprocessor=strip_tags).fit(JUNK_FOOD_DOCS), CountVectorizer(strip_accents=strip_eacute).fit(JUNK_FOOD_DOCS), TfidfVectorizer(), TfidfVectorizer(analyzer=lazy_analyze), TfidfVectorizer().fit(JUNK_FOOD_DOCS), ] for orig in instances: s = pickle.dumps(orig) copy = pickle.loads(s) assert_equal(type(copy), orig.__class__) assert_equal(copy.get_params(), orig.get_params()) assert_array_equal( copy.fit_transform(JUNK_FOOD_DOCS).toarray(), orig.fit_transform(JUNK_FOOD_DOCS).toarray())
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{"id": "vect", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "stop_None_transform", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vect", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "stop_words_"}}], "func": {"_type": "Name", "_fields": {"id": "delattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "JUNK_FOOD_DOCS", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "transform", "value": {"_type": "Name", "_fields": {"id": "vect", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "stop_del_transform", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "stop_None_transform", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "vect_transform", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "stop_del_transform", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "vect_transform", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "fitted_vectorizers", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "vect", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_stop_words_removal", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_stop_words_removal(): # Ensure that deleting the stop_words_ attribute doesn't affect transform fitted_vectorizers = ( TfidfVectorizer().fit(JUNK_FOOD_DOCS), CountVectorizer(preprocessor=strip_tags).fit(JUNK_FOOD_DOCS), CountVectorizer(strip_accents=strip_eacute).fit(JUNK_FOOD_DOCS) ) for vect in fitted_vectorizers: vect_transform = vect.transform(JUNK_FOOD_DOCS).toarray() vect.stop_words_ = None stop_None_transform = vect.transform(JUNK_FOOD_DOCS).toarray() delattr(vect, 'stop_words_') stop_del_transform = vect.transform(JUNK_FOOD_DOCS).toarray() assert_array_equal(stop_None_transform, vect_transform) assert_array_equal(stop_del_transform, vect_transform)
12,595	[ 0.005975724197924137, -0.010395601391792297, -0.06137024238705635, -0.02077850140631199, 0.00756967393681407, -0.0024353775661438704, -0.012383275665342808, 0.011995901353657246, -0.02916102670133114, 0.02123573049902916, 0.06182747334241867, -0.012707145884633064, -0.0064329528249800205, ...	10	{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "JUNK_FOOD_DOCS", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "CountVectorizer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "TfidfTransformer", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dumps", "value": {"_type": "Name", "_fields": {"id": "pickle", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "loads", "value": {"_type": "Name", "_fields": {"id": "pickle", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "copy", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "copy", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__class__", "value": {"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "copy", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "toarray", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "X", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fit_transform", "value": {"_type": "Name", "_fields": {"id": "orig", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_pickling_transformer", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def test_pickling_transformer(): X = CountVectorizer().fit_transform(JUNK_FOOD_DOCS) orig = TfidfTransformer().fit(X) s = pickle.dumps(orig) copy = pickle.loads(s) assert_equal(type(copy), orig.__class__) assert_array_equal( copy.fit_transform(X).toarray(), orig.fit_transform(X).toarray())
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null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "direction"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "sell_price"}}], "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "_get_direction", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "function", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "method", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "char"}}}}, {"_type": "keyword", "_fields": {"arg": "string", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Dir"}}}}, {"_type": "keyword", "_fields": {"arg": "readonly", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "sale_line_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "price_unit"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "related", "value": {"_type": "Name", "_fields": {"id": "fields", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "float"}}}}, {"_type": "keyword", "_fields": {"arg": "relation", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "sale.order.line"}}}}, {"_type": "keyword", "_fields": {"arg": "string", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Sell Price Unit"}}}}, {"_type": "keyword", "_fields": {"arg": "readonly", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "_columns", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "stock_move", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Model", "value": {"_type": "Name", "_fields": {"id": "orm", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}	class stock_move(orm.Model): _inherit = "stock.move" def _get_direction(self, cr, uid, ids, field_name, arg, context=None): if context is None: context = {} res = {} for move in self.browse(cr, uid, ids, context=context): # import pdb; pdb.set_trace() # ('supplier', 'Supplier Location'), ('view', 'View'), ('internal', 'Internal Location'), ('customer', 'Customer Location'), # ('inventory', 'Inventory'), ('procurement', 'Procurement'), ('production', 'Production'), # ('transit', 'Transit Location for Inter-Companies Transfers') if move.location_id.usage == 'internal' and move.location_dest_id.usage == 'customer': res[move.id] = '-' elif move.location_id.usage in ['supplier', 'customer'] and move.location_dest_id.usage == 'internal': res[move.id] = '+' elif move.location_id.usage in ['internal', 'transit'] and move.location_dest_id.usage in ['internal', 'transit']: res[move.id] = '=' elif move.location_id.usage in ['inventory', 'procurement', 'production'] and move.location_dest_id.usage == 'internal': res[move.id] = '<>' else: res[move.id] = [] # if move.picking_id: # if move.picking_id.type == 'in': # res[move.id] = '+' # elif move.picking_id.type == 'out': # res[move.id] = '-' # else: # res[move.id] = '=' # else: # res[move.id] = [] return res _columns = { 'direction': fields.function(_get_direction, method=True, type="char", string='Dir', readonly=True), 'sell_price': fields.related('sale_line_id', 'price_unit', type='float', relation='sale.order.line', string='Sell Price Unit', readonly=True) }
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null, "decorator_list": []}}], "type_ignores": []}}	def test_tfidfvectorizer_binary(): # Non-regression test: TfidfVectorizer used to ignore its "binary" param. v = TfidfVectorizer(binary=True, use_idf=False, norm=None) assert_true(v.binary) X = v.fit_transform(['hello world', 'hello hello']).toarray() assert_array_equal(X.ravel(), [1, 1, 1, 0]) X2 = v.transform(['hello world', 'hello hello']).toarray() assert_array_equal(X2.ravel(), [1, 1, 1, 0])
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{"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "diff", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "writelines", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "stdout", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}	def main(): parser = argparse.ArgumentParser() parser.add_argument('-c', action='store_true', default=False, help='Produce a context format diff (default)') parser.add_argument('-u', action='store_true', default=False, help='Produce a unified format diff') parser.add_argument('-m', action='store_true', default=False, help='Produce HTML side by side diff ' '(can use -c and -l in conjunction)') parser.add_argument('-n', action='store_true', default=False, help='Produce a ndiff format diff') parser.add_argument('-l', '--lines', type=int, default=3, help='Set number of context lines (default 3)') parser.add_argument('fromfile') parser.add_argument('tofile') options = parser.parse_args() n = options.lines fromfile = options.fromfile tofile = options.tofile fromdate = file_mtime(fromfile) todate = file_mtime(tofile) with open(fromfile) as ff: fromlines = ff.readlines() with open(tofile) as tf: tolines = tf.readlines() if options.u: diff = difflib.unified_diff(fromlines, tolines, fromfile, tofile, fromdate, todate, n=n) elif options.n: diff = difflib.ndiff(fromlines, tolines) elif options.m: diff = difflib.HtmlDiff().make_file(fromlines,tolines,fromfile,tofile,context=options.c,numlines=n) else: diff = difflib.context_diff(fromlines, tolines, fromfile, tofile, fromdate, todate, n=n) sys.stdout.writelines(diff)
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# ('supplier', 'Supplier Location'), ('view', 'View'), ('internal', 'Internal Location'), ('customer', 'Customer Location'), # ('inventory', 'Inventory'), ('procurement', 'Procurement'), ('production', 'Production'), # ('transit', 'Transit Location for Inter-Companies Transfers') if move.location_id.usage == 'internal' and move.location_dest_id.usage == 'customer': res[move.id] = '-' elif move.location_id.usage in ['supplier', 'customer'] and move.location_dest_id.usage == 'internal': res[move.id] = '+' elif move.location_id.usage in ['internal', 'transit'] and move.location_dest_id.usage in ['internal', 'transit']: res[move.id] = '=' elif move.location_id.usage in ['inventory', 'procurement', 'production'] and move.location_dest_id.usage == 'internal': res[move.id] = '<>' else: res[move.id] = [] # if move.picking_id: # if move.picking_id.type == 'in': # res[move.id] = '+' # elif move.picking_id.type == 'out': # res[move.id] = '-' # else: # res[move.id] = '=' # else: # res[move.id] = [] return res