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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "box_with_array", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "NaT"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "datetime64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 day"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "periods", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "NaT"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NaT"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NaT"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DatetimeIndex", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "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": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_add_datetime64_nat", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_add_datetime64_nat(self, box_with_array):
# GH#23215
other = np.datetime64('NaT')
tdi = timedelta_range('1 day', periods=3)
expected = pd.DatetimeIndex(["NaT", "NaT", "NaT"])
tdser = tm.box_expected(tdi, box_with_array)
expected = tm.box_expected(expected, box_with_array)
tm.assert_equal(tdser + other, expected)
tm.assert_equal(other + tdser, expected)
|
|
15,602
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "box_with_array", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "scalar", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "59 Days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "59 Days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NaT"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Series", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "m8[ns]"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "NullFrequencyError", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": 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{"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "scalar", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "scalar", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_td64arr_add_sub_numeric_scalar_invalid", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_add_sub_numeric_scalar_invalid(self, box_with_array,
scalar):
box = box_with_array
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
tdser = tm.box_expected(tdser, box)
err = TypeError
if box in [pd.Index, tm.to_array] and not isinstance(scalar, float):
err = NullFrequencyError
with pytest.raises(err):
tdser + scalar
with pytest.raises(err):
scalar + tdser
with pytest.raises(err):
tdser - scalar
with pytest.raises(err):
scalar - tdser
|
|
15,603
|
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{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "ser", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Index", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "ser", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Index", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_td64arr_add_intlike", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_add_intlike(self, box_with_array):
# GH#19123
tdi = TimedeltaIndex(['59 days', '59 days', 'NaT'])
ser = tm.box_expected(tdi, box_with_array)
err = TypeError
if box_with_array in [pd.Index, tm.to_array]:
err = NullFrequencyError
other = Series([20, 30, 40], dtype='uint8')
# TODO: separate/parametrize
with pytest.raises(err):
ser + 1
with pytest.raises(err):
ser - 1
with pytest.raises(err):
ser + other
with pytest.raises(err):
ser - other
with pytest.raises(err):
ser + np.array(other)
with pytest.raises(err):
ser - np.array(other)
with pytest.raises(err):
ser + pd.Index(other)
with pytest.raises(err):
ser - pd.Index(other)
|
|
15,604
|
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"withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "vector", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "err", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_td64arr_add_sub_numeric_arr_invalid", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_add_sub_numeric_arr_invalid(self, box, vec, dtype):
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
tdser = tm.box_expected(tdser, box)
err = TypeError
if box is pd.Index and not dtype.startswith('float'):
err = NullFrequencyError
vector = vec.astype(dtype)
with pytest.raises(err):
tdser + vector
with pytest.raises(err):
vector + tdser
with pytest.raises(err):
tdser - vector
with pytest.raises(err):
vector - tdser
|
|
15,605
|
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] | 9
|
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|
def test_operators_timedelta64_with_timedelta(self, scalar_td):
# smoke tests
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
td1 + scalar_td
scalar_td + td1
td1 - scalar_td
scalar_td - td1
td1 / scalar_td
scalar_td / td1
|
|
15,606
|
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"value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}]}}]}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_series_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "td2", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "td1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_series_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_timedelta64_operations_with_timedeltas", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_timedelta64_operations_with_timedeltas(self):
# td operate with td
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td2 = timedelta(minutes=5, seconds=4)
result = td1 - td2
expected = (Series([timedelta(seconds=0)] * 3) -
Series([timedelta(seconds=1)] * 3))
assert result.dtype == 'm8[ns]'
tm.assert_series_equal(result, expected)
result2 = td2 - td1
expected = (Series([timedelta(seconds=1)] * 3) -
Series([timedelta(seconds=0)] * 3))
tm.assert_series_equal(result2, expected)
# roundtrip
tm.assert_series_equal(result + td2, td1)
# Now again, using pd.to_timedelta, which should build
# a Series or a scalar, depending on input.
td1 = Series(pd.to_timedelta(['00:05:03'] * 3))
td2 = pd.to_timedelta('00:05:04')
result = td1 - td2
expected = (Series([timedelta(seconds=0)] * 3) -
Series([timedelta(seconds=1)] * 3))
assert result.dtype == 'm8[ns]'
tm.assert_series_equal(result, expected)
result2 = td2 - td1
expected = (Series([timedelta(seconds=1)] * 3) -
Series([timedelta(seconds=0)] * 3))
tm.assert_series_equal(result2, expected)
# roundtrip
tm.assert_series_equal(result + td2, td1)
|
|
15,607
|
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|
def test_td64arr_add_td64_array(self, box):
dti = pd.date_range('2016-01-01', periods=3)
tdi = dti - dti.shift(1)
tdarr = tdi.values
expected = 2 * tdi
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, box)
result = tdi + tdarr
tm.assert_equal(result, expected)
result = tdarr + tdi
tm.assert_equal(result, expected)
|
|
15,608
|
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|
def test_td64arr_sub_td64_array(self, box):
dti = pd.date_range('2016-01-01', periods=3)
tdi = dti - dti.shift(1)
tdarr = tdi.values
expected = 0 * tdi
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, box)
result = tdi - tdarr
tm.assert_equal(result, expected)
result = tdarr - tdi
tm.assert_equal(result, expected)
|
|
15,609
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] | 9
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[{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "timedelta64[ns]"}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DataFrame", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtypes", "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "timedelta64[ns]"}}]}}}}]}}], "name": "test_td64arr_add_sub_tdi", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_add_sub_tdi(self, box, names):
# GH#17250 make sure result dtype is correct
# GH#19043 make sure names are propagated correctly
if box is pd.DataFrame and names[1] == 'Venkman':
pytest.skip("Name propagation for DataFrame does not behave like "
"it does for Index/Series")
tdi = TimedeltaIndex(['0 days', '1 day'], name=names[0])
ser = Series([Timedelta(hours=3), Timedelta(hours=4)], name=names[1])
expected = Series([Timedelta(hours=3), Timedelta(days=1, hours=4)],
name=names[2])
ser = tm.box_expected(ser, box)
expected = tm.box_expected(expected, box)
result = tdi + ser
tm.assert_equal(result, expected)
if box is not pd.DataFrame:
assert result.dtype == 'timedelta64[ns]'
else:
assert result.dtypes[0] == 'timedelta64[ns]'
result = ser + tdi
tm.assert_equal(result, expected)
if box is not pd.DataFrame:
assert result.dtype == 'timedelta64[ns]'
else:
assert result.dtypes[0] == 'timedelta64[ns]'
expected = Series([Timedelta(hours=-3), Timedelta(days=1, hours=-4)],
name=names[2])
expected = tm.box_expected(expected, box)
result = tdi - ser
tm.assert_equal(result, expected)
if box is not pd.DataFrame:
assert result.dtype == 'timedelta64[ns]'
else:
assert result.dtypes[0] == 'timedelta64[ns]'
result = ser - tdi
tm.assert_equal(result, -expected)
if box is not pd.DataFrame:
assert result.dtype == 'timedelta64[ns]'
else:
assert result.dtypes[0] == 'timedelta64[ns]'
|
|
15,610
|
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] | 8
|
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|
def test_td64arr_sub_NaT(self, box):
# GH#18808
ser = Series([NaT, Timedelta('1s')])
expected = Series([NaT, NaT], dtype='timedelta64[ns]')
ser = tm.box_expected(ser, box)
expected = tm.box_expected(expected, box)
res = ser - pd.NaT
tm.assert_equal(res, expected)
|
|
15,611
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{"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "obj", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_add_sub_td64_nat", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_add_sub_td64_nat(self, box):
# GH#23320 special handling for timedelta64("NaT")
tdi = pd.TimedeltaIndex([NaT, Timedelta('1s')])
other = np.timedelta64("NaT")
expected = pd.TimedeltaIndex(["NaT"] * 2)
obj = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, box)
result = obj + other
tm.assert_equal(result, expected)
result = other + obj
tm.assert_equal(result, expected)
result = obj - other
tm.assert_equal(result, expected)
result = other - obj
tm.assert_equal(result, expected)
|
|
15,612
|
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] | 7
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|
def test_td64arr_sub_timedeltalike(self, two_hours, box):
# only test adding/sub offsets as - is now numeric
rng = timedelta_range('1 days', '10 days')
expected = timedelta_range('0 days 22:00:00', '9 days 22:00:00')
rng = tm.box_expected(rng, box)
expected = tm.box_expected(expected, box)
result = rng - two_hours
tm.assert_equal(result, expected)
|
|
15,613
|
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] | 7
|
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|
def test_td64arr_add_timedeltalike(self, two_hours, box):
# only test adding/sub offsets as + is now numeric
rng = timedelta_range('1 days', '10 days')
expected = timedelta_range('1 days 02:00:00', '10 days 02:00:00',
freq='D')
rng = tm.box_expected(rng, box)
expected = tm.box_expected(expected, box)
result = rng + two_hours
tm.assert_equal(result, expected)
|
|
15,614
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|
def test_td64arr_add_offset_index(self, names, box):
# GH#18849, GH#19744
if box is pd.DataFrame and names[1] == 'bar':
pytest.skip("Name propagation for DataFrame does not behave like "
"it does for Index/Series")
tdi = TimedeltaIndex(['1 days 00:00:00', '3 days 04:00:00'],
name=names[0])
other = pd.Index([pd.offsets.Hour(n=1), pd.offsets.Minute(n=-2)],
name=names[1])
expected = TimedeltaIndex([tdi[n] + other[n] for n in range(len(tdi))],
freq='infer', name=names[2])
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, box)
# The DataFrame operation is transposed and so operates as separate
# scalar operations, which do not issue a PerformanceWarning
warn = PerformanceWarning if box is not pd.DataFrame else None
with tm.assert_produces_warning(warn):
res = tdi + other
tm.assert_equal(res, expected)
with tm.assert_produces_warning(warn):
res2 = other + tdi
tm.assert_equal(res2, expected)
|
|
15,615
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"ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 5}}], "func": {"_type": "Name", "_fields": {"id": "op", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Hour"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Minute"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Second"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Micro"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Milli"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Nano"}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "do", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_timedelta64_operations_with_DateOffset", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_timedelta64_operations_with_DateOffset(self):
# GH#10699
td = Series([timedelta(minutes=5, seconds=3)] * 3)
result = td + pd.offsets.Minute(1)
expected = Series([timedelta(minutes=6, seconds=3)] * 3)
tm.assert_series_equal(result, expected)
result = td - pd.offsets.Minute(1)
expected = Series([timedelta(minutes=4, seconds=3)] * 3)
tm.assert_series_equal(result, expected)
with tm.assert_produces_warning(PerformanceWarning):
result = td + Series([pd.offsets.Minute(1), pd.offsets.Second(3),
pd.offsets.Hour(2)])
expected = Series([timedelta(minutes=6, seconds=3),
timedelta(minutes=5, seconds=6),
timedelta(hours=2, minutes=5, seconds=3)])
tm.assert_series_equal(result, expected)
result = td + pd.offsets.Minute(1) + pd.offsets.Second(12)
expected = Series([timedelta(minutes=6, seconds=15)] * 3)
tm.assert_series_equal(result, expected)
# valid DateOffsets
for do in ['Hour', 'Minute', 'Second', 'Day', 'Micro', 'Milli',
'Nano']:
op = getattr(pd.offsets, do)
td + op(5)
op(5) + td
td - op(5)
op(5) - td
|
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] | 10
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|
def test_td64arr_add_offset_array(self, box):
# GH#18849
tdi = TimedeltaIndex(['1 days 00:00:00', '3 days 04:00:00'])
other = np.array([pd.offsets.Hour(n=1), pd.offsets.Minute(n=-2)])
expected = TimedeltaIndex([tdi[n] + other[n] for n in range(len(tdi))],
freq='infer')
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, box)
# The DataFrame operation is transposed and so operates as separate
# scalar operations, which do not issue a PerformanceWarning
warn = PerformanceWarning if box is not pd.DataFrame else None
with tm.assert_produces_warning(warn):
res = tdi + other
tm.assert_equal(res, expected)
with tm.assert_produces_warning(warn):
res2 = other + tdi
tm.assert_equal(res2, expected)
|
|
15,617
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{"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_sub_offset_index", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_sub_offset_index(self, names, box):
# GH#18824, GH#19744
if box is pd.DataFrame and names[1] == 'bar':
pytest.skip("Name propagation for DataFrame does not behave like "
"it does for Index/Series")
tdi = TimedeltaIndex(['1 days 00:00:00', '3 days 04:00:00'],
name=names[0])
other = pd.Index([pd.offsets.Hour(n=1), pd.offsets.Minute(n=-2)],
name=names[1])
expected = TimedeltaIndex([tdi[n] - other[n] for n in range(len(tdi))],
freq='infer', name=names[2])
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, box)
# The DataFrame operation is transposed and so operates as separate
# scalar operations, which do not issue a PerformanceWarning
warn = PerformanceWarning if box is not pd.DataFrame else None
with tm.assert_produces_warning(warn):
res = tdi - other
tm.assert_equal(res, expected)
|
|
15,618
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|
def test_td64arr_sub_offset_array(self, box_with_array):
# GH#18824
tdi = TimedeltaIndex(['1 days 00:00:00', '3 days 04:00:00'])
other = np.array([pd.offsets.Hour(n=1), pd.offsets.Minute(n=-2)])
expected = TimedeltaIndex([tdi[n] - other[n] for n in range(len(tdi))],
freq='infer')
tdi = tm.box_expected(tdi, box_with_array)
expected = tm.box_expected(expected, box_with_array)
# The DataFrame operation is transposed and so operates as separate
# scalar operations, which do not issue a PerformanceWarning
warn = None if box_with_array is pd.DataFrame else PerformanceWarning
with tm.assert_produces_warning(warn):
res = tdi - other
tm.assert_equal(res, expected)
|
|
15,619
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"_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "ListComp", "_fields": {"elt": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "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": []}}, "target": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_add", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected_add", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_add", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "PerformanceWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_produces_warning", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "res", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected_add", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "res2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "PerformanceWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_produces_warning", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "res2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected_add", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "ListComp", "_fields": {"elt": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "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": []}}, "target": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_sub", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected_sub", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_sub", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "res3", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "PerformanceWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_produces_warning", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "res3", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected_sub", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_with_offset_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_with_offset_series(self, names, box_df_fail):
# GH#18849
box = box_df_fail
box2 = Series if box in [pd.Index, tm.to_array] else box
tdi = TimedeltaIndex(['1 days 00:00:00', '3 days 04:00:00'],
name=names[0])
other = Series([pd.offsets.Hour(n=1), pd.offsets.Minute(n=-2)],
name=names[1])
expected_add = Series([tdi[n] + other[n] for n in range(len(tdi))],
name=names[2])
tdi = tm.box_expected(tdi, box)
expected_add = tm.box_expected(expected_add, box2)
with tm.assert_produces_warning(PerformanceWarning):
res = tdi + other
tm.assert_equal(res, expected_add)
with tm.assert_produces_warning(PerformanceWarning):
res2 = other + tdi
tm.assert_equal(res2, expected_add)
# TODO: separate/parametrize add/sub test?
expected_sub = Series([tdi[n] - other[n] for n in range(len(tdi))],
name=names[2])
expected_sub = tm.box_expected(expected_sub, box2)
with tm.assert_produces_warning(PerformanceWarning):
res3 = tdi - other
tm.assert_equal(res3, expected_sub)
|
|
15,620
|
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] | 10
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|
def test_td64arr_addsub_anchored_offset_arraylike(self, obox,
box_with_array):
# GH#18824
tdi = TimedeltaIndex(['1 days 00:00:00', '3 days 04:00:00'])
tdi = tm.box_expected(tdi, box_with_array)
anchored = obox([pd.offsets.MonthEnd(), pd.offsets.Day(n=2)])
# addition/subtraction ops with anchored offsets should issue
# a PerformanceWarning and _then_ raise a TypeError.
with pytest.raises(TypeError):
with tm.assert_produces_warning(PerformanceWarning):
tdi + anchored
with pytest.raises(TypeError):
with tm.assert_produces_warning(PerformanceWarning):
anchored + tdi
with pytest.raises(TypeError):
with tm.assert_produces_warning(PerformanceWarning):
tdi - anchored
with pytest.raises(TypeError):
with tm.assert_produces_warning(PerformanceWarning):
anchored - tdi
|
|
15,621
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"_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "names"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Egon"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Venkman"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "NCC1701D"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NCC1701D"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NCC1701D"}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parametrize", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mark", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "box_with_array", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "names", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "0days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "2days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "3days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "4days"}}]}}], "func": {"_type": "Name", "_fields": {"id": "TimedeltaIndex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7.5}}]}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ser", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "IfExp", "_fields": {"body": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_array", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "names", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "xname", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "ListComp", "_fields": {"elt": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "ser", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ser", "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": []}}, "target": {"_type": "Name", "_fields": {"id": "n", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "timedelta64[ns]"}}}}, {"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Name", "_fields": {"id": "xname", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "xbox", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "xbox", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Index", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_array", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ser", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "type", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xbox", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__rdiv__", "value": {"_type": "Name", "_fields": {"id": "ser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "NotImplemented", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DataFrame", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "name": "test_float_series_rdiv_td64arr", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "names"}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "Egon"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Venkman"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "NCC1701D"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NCC1701D"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NCC1701D"}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parametrize", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mark", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}]}}], "name": "TestTimedeltaArraylikeMulDivOps", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestTimedeltaArraylikeMulDivOps:
# Tests for timedelta64[ns]
# __mul__, __rmul__, __div__, __rdiv__, __floordiv__, __rfloordiv__
# TODO: Moved from tests.series.test_operators; needs cleanup
@pytest.mark.parametrize("m", [1, 3, 10])
@pytest.mark.parametrize("unit", ['D', 'h', 'm', 's', 'ms', 'us', 'ns'])
def test_timedelta64_conversions(self, m, unit):
startdate = Series(pd.date_range('2013-01-01', '2013-01-03'))
enddate = Series(pd.date_range('2013-03-01', '2013-03-03'))
ser = enddate - startdate
ser[2] = np.nan
# op
expected = Series([x / np.timedelta64(m, unit) for x in ser])
result = ser / np.timedelta64(m, unit)
tm.assert_series_equal(result, expected)
# reverse op
expected = Series([Timedelta(np.timedelta64(m, unit)) / x
for x in ser])
result = np.timedelta64(m, unit) / ser
tm.assert_series_equal(result, expected)
# ------------------------------------------------------------------
# Multiplication
# organized with scalar others first, then array-like
def test_td64arr_mul_int(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
result = idx * 1
tm.assert_equal(result, idx)
result = 1 * idx
tm.assert_equal(result, idx)
def test_td64arr_mul_tdlike_scalar_raises(self, two_hours, box_with_array):
rng = timedelta_range('1 days', '10 days', name='foo')
rng = tm.box_expected(rng, box_with_array)
with pytest.raises(TypeError):
rng * two_hours
def test_tdi_mul_int_array_zerodim(self, box_with_array):
rng5 = np.arange(5, dtype='int64')
idx = TimedeltaIndex(rng5)
expected = TimedeltaIndex(rng5 * 5)
idx = tm.box_expected(idx, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = idx * np.array(5, dtype='int64')
tm.assert_equal(result, expected)
def test_tdi_mul_int_array(self, box_with_array):
rng5 = np.arange(5, dtype='int64')
idx = TimedeltaIndex(rng5)
expected = TimedeltaIndex(rng5 ** 2)
idx = tm.box_expected(idx, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = idx * rng5
tm.assert_equal(result, expected)
def test_tdi_mul_int_series(self, box_with_array):
box = box_with_array
xbox = pd.Series if box in [pd.Index, tm.to_array] else box
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
expected = TimedeltaIndex(np.arange(5, dtype='int64') ** 2)
idx = tm.box_expected(idx, box)
expected = tm.box_expected(expected, xbox)
result = idx * pd.Series(np.arange(5, dtype='int64'))
tm.assert_equal(result, expected)
def test_tdi_mul_float_series(self, box_with_array):
box = box_with_array
xbox = pd.Series if box in [pd.Index, tm.to_array] else box
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box)
rng5f = np.arange(5, dtype='float64')
expected = TimedeltaIndex(rng5f * (rng5f + 1.0))
expected = tm.box_expected(expected, xbox)
result = idx * Series(rng5f + 1.0)
tm.assert_equal(result, expected)
# TODO: Put Series/DataFrame in others?
@pytest.mark.parametrize('other', [
np.arange(1, 11),
pd.Int64Index(range(1, 11)),
pd.UInt64Index(range(1, 11)),
pd.Float64Index(range(1, 11)),
pd.RangeIndex(1, 11)
], ids=lambda x: type(x).__name__)
def test_tdi_rmul_arraylike(self, other, box_with_array):
box = box_with_array
xbox = get_upcast_box(box, other)
tdi = TimedeltaIndex(['1 Day'] * 10)
expected = timedelta_range('1 days', '10 days')
expected._data.freq = None
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, xbox)
result = other * tdi
tm.assert_equal(result, expected)
commute = tdi * other
tm.assert_equal(commute, expected)
# ------------------------------------------------------------------
# __div__, __rdiv__
def test_td64arr_div_nat_invalid(self, box_with_array):
# don't allow division by NaT (maybe could in the future)
rng = timedelta_range('1 days', '10 days', name='foo')
rng = tm.box_expected(rng, box_with_array)
with pytest.raises(TypeError,
match="'?true_divide'? cannot use operands"):
rng / pd.NaT
with pytest.raises(TypeError, match='Cannot divide NaTType by'):
pd.NaT / rng
def test_td64arr_div_td64nat(self, box_with_array):
# GH#23829
rng = timedelta_range('1 days', '10 days',)
rng = tm.box_expected(rng, box_with_array)
other = np.timedelta64('NaT')
expected = np.array([np.nan] * 10)
expected = tm.box_expected(expected, box_with_array)
result = rng / other
tm.assert_equal(result, expected)
result = other / rng
tm.assert_equal(result, expected)
def test_td64arr_div_int(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
result = idx / 1
tm.assert_equal(result, idx)
with pytest.raises(TypeError, match='Cannot divide'):
# GH#23829
1 / idx
def test_td64arr_div_tdlike_scalar(self, two_hours, box_with_array):
# GH#20088, GH#22163 ensure DataFrame returns correct dtype
rng = timedelta_range('1 days', '10 days', name='foo')
expected = pd.Float64Index((np.arange(10) + 1) * 12, name='foo')
rng = tm.box_expected(rng, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = rng / two_hours
tm.assert_equal(result, expected)
result = two_hours / rng
expected = 1 / expected
tm.assert_equal(result, expected)
def test_td64arr_div_tdlike_scalar_with_nat(self, two_hours,
box_with_array):
rng = TimedeltaIndex(['1 days', pd.NaT, '2 days'], name='foo')
expected = pd.Float64Index([12, np.nan, 24], name='foo')
rng = tm.box_expected(rng, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = rng / two_hours
tm.assert_equal(result, expected)
result = two_hours / rng
expected = 1 / expected
tm.assert_equal(result, expected)
def test_td64arr_div_td64_ndarray(self, box_with_array):
# GH#22631
rng = TimedeltaIndex(['1 days', pd.NaT, '2 days'])
expected = pd.Float64Index([12, np.nan, 24])
rng = tm.box_expected(rng, box_with_array)
expected = tm.box_expected(expected, box_with_array)
other = np.array([2, 4, 2], dtype='m8[h]')
result = rng / other
tm.assert_equal(result, expected)
result = rng / tm.box_expected(other, box_with_array)
tm.assert_equal(result, expected)
result = rng / other.astype(object)
tm.assert_equal(result, expected)
result = rng / list(other)
tm.assert_equal(result, expected)
# reversed op
expected = 1 / expected
result = other / rng
tm.assert_equal(result, expected)
result = tm.box_expected(other, box_with_array) / rng
tm.assert_equal(result, expected)
result = other.astype(object) / rng
tm.assert_equal(result, expected)
result = list(other) / rng
tm.assert_equal(result, expected)
def test_tdarr_div_length_mismatch(self, box_with_array):
rng = TimedeltaIndex(['1 days', pd.NaT, '2 days'])
mismatched = [1, 2, 3, 4]
rng = tm.box_expected(rng, box_with_array)
for obj in [mismatched, mismatched[:2]]:
# one shorter, one longer
for other in [obj, np.array(obj), pd.Index(obj)]:
with pytest.raises(ValueError):
rng / other
with pytest.raises(ValueError):
other / rng
# ------------------------------------------------------------------
# __floordiv__, __rfloordiv__
def test_td64arr_floordiv_tdscalar(self, box_with_array, scalar_td):
# GH#18831
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
expected = Series([0, 0, np.nan])
td1 = tm.box_expected(td1, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
result = td1 // scalar_td
tm.assert_equal(result, expected)
def test_td64arr_rfloordiv_tdscalar(self, box_with_array, scalar_td):
# GH#18831
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
expected = Series([1, 1, np.nan])
td1 = tm.box_expected(td1, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
result = scalar_td // td1
tm.assert_equal(result, expected)
def test_td64arr_rfloordiv_tdscalar_explicit(self, box_with_array,
scalar_td):
# GH#18831
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
expected = Series([1, 1, np.nan])
td1 = tm.box_expected(td1, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
# We can test __rfloordiv__ using this syntax,
# see `test_timedelta_rfloordiv`
result = td1.__rfloordiv__(scalar_td)
tm.assert_equal(result, expected)
def test_td64arr_floordiv_int(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
result = idx // 1
tm.assert_equal(result, idx)
pattern = ('floor_divide cannot use operands|'
'Cannot divide int by Timedelta*')
with pytest.raises(TypeError, match=pattern):
1 // idx
def test_td64arr_floordiv_tdlike_scalar(self, two_hours, box_with_array):
tdi = timedelta_range('1 days', '10 days', name='foo')
expected = pd.Int64Index((np.arange(10) + 1) * 12, name='foo')
tdi = tm.box_expected(tdi, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = tdi // two_hours
tm.assert_equal(result, expected)
# TODO: Is this redundant with test_td64arr_floordiv_tdlike_scalar?
@pytest.mark.parametrize('scalar_td', [
timedelta(minutes=10, seconds=7),
Timedelta('10m7s'),
Timedelta('10m7s').to_timedelta64()
], ids=lambda x: type(x).__name__)
def test_td64arr_rfloordiv_tdlike_scalar(self, scalar_td, box_with_array):
# GH#19125
tdi = TimedeltaIndex(['00:05:03', '00:05:03', pd.NaT], freq=None)
expected = pd.Index([2.0, 2.0, np.nan])
tdi = tm.box_expected(tdi, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
res = tdi.__rfloordiv__(scalar_td)
tm.assert_equal(res, expected)
expected = pd.Index([0.0, 0.0, np.nan])
expected = tm.box_expected(expected, box_with_array, transpose=False)
res = tdi // (scalar_td)
tm.assert_equal(res, expected)
# ------------------------------------------------------------------
# mod, divmod
# TODO: operations with timedelta-like arrays, numeric arrays,
# reversed ops
def test_td64arr_mod_tdscalar(self, box_with_array, three_days):
tdi = timedelta_range('1 Day', '9 days')
tdarr = tm.box_expected(tdi, box_with_array)
expected = TimedeltaIndex(['1 Day', '2 Days', '0 Days'] * 3)
expected = tm.box_expected(expected, box_with_array)
result = tdarr % three_days
tm.assert_equal(result, expected)
if box_with_array is pd.DataFrame:
pytest.xfail("DataFrame does not have __divmod__ or __rdivmod__")
result = divmod(tdarr, three_days)
tm.assert_equal(result[1], expected)
tm.assert_equal(result[0], tdarr // three_days)
def test_td64arr_mod_int(self, box_with_array):
tdi = timedelta_range('1 ns', '10 ns', periods=10)
tdarr = tm.box_expected(tdi, box_with_array)
expected = TimedeltaIndex(['1 ns', '0 ns'] * 5)
expected = tm.box_expected(expected, box_with_array)
result = tdarr % 2
tm.assert_equal(result, expected)
with pytest.raises(TypeError):
2 % tdarr
if box_with_array is pd.DataFrame:
pytest.xfail("DataFrame does not have __divmod__ or __rdivmod__")
result = divmod(tdarr, 2)
tm.assert_equal(result[1], expected)
tm.assert_equal(result[0], tdarr // 2)
def test_td64arr_rmod_tdscalar(self, box_with_array, three_days):
tdi = timedelta_range('1 Day', '9 days')
tdarr = tm.box_expected(tdi, box_with_array)
expected = ['0 Days', '1 Day', '0 Days'] + ['3 Days'] * 6
expected = TimedeltaIndex(expected)
expected = tm.box_expected(expected, box_with_array)
result = three_days % tdarr
tm.assert_equal(result, expected)
if box_with_array is pd.DataFrame:
pytest.xfail("DataFrame does not have __divmod__ or __rdivmod__")
result = divmod(three_days, tdarr)
tm.assert_equal(result[1], expected)
tm.assert_equal(result[0], three_days // tdarr)
# ------------------------------------------------------------------
# Operations with invalid others
def test_td64arr_mul_tdscalar_invalid(self, box_with_array, scalar_td):
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
td1 = tm.box_expected(td1, box_with_array)
# check that we are getting a TypeError
# with 'operate' (from core/ops.py) for the ops that are not
# defined
pattern = 'operate|unsupported|cannot|not supported'
with pytest.raises(TypeError, match=pattern):
td1 * scalar_td
with pytest.raises(TypeError, match=pattern):
scalar_td * td1
def test_td64arr_mul_too_short_raises(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
with pytest.raises(TypeError):
idx * idx[:3]
with pytest.raises(ValueError):
idx * np.array([1, 2])
def test_td64arr_mul_td64arr_raises(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
with pytest.raises(TypeError):
idx * idx
# ------------------------------------------------------------------
# Operations with numeric others
@pytest.mark.parametrize('one', [1, np.array(1), 1.0, np.array(1.0)])
def test_td64arr_mul_numeric_scalar(self, box_with_array, one):
# GH#4521
# divide/multiply by integers
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
expected = Series(['-59 Days', '-59 Days', 'NaT'],
dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = tdser * (-one)
tm.assert_equal(result, expected)
result = (-one) * tdser
tm.assert_equal(result, expected)
expected = Series(['118 Days', '118 Days', 'NaT'],
dtype='timedelta64[ns]')
expected = tm.box_expected(expected, box_with_array)
result = tdser * (2 * one)
tm.assert_equal(result, expected)
result = (2 * one) * tdser
tm.assert_equal(result, expected)
@pytest.mark.parametrize('two', [2, 2.0, np.array(2), np.array(2.0)])
def test_td64arr_div_numeric_scalar(self, box_with_array, two):
# GH#4521
# divide/multiply by integers
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
expected = Series(['29.5D', '29.5D', 'NaT'], dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = tdser / two
tm.assert_equal(result, expected)
with pytest.raises(TypeError, match='Cannot divide'):
two / tdser
@pytest.mark.parametrize('dtype', ['int64', 'int32', 'int16',
'uint64', 'uint32', 'uint16', 'uint8',
'float64', 'float32', 'float16'])
@pytest.mark.parametrize('vector', [np.array([20, 30, 40]),
pd.Index([20, 30, 40]),
Series([20, 30, 40])],
ids=lambda x: type(x).__name__)
def test_td64arr_rmul_numeric_array(self, box_with_array, vector, dtype):
# GH#4521
# divide/multiply by integers
xbox = get_upcast_box(box_with_array, vector)
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
vector = vector.astype(dtype)
expected = Series(['1180 Days', '1770 Days', 'NaT'],
dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, xbox)
result = tdser * vector
tm.assert_equal(result, expected)
result = vector * tdser
tm.assert_equal(result, expected)
@pytest.mark.parametrize('dtype', ['int64', 'int32', 'int16',
'uint64', 'uint32', 'uint16', 'uint8',
'float64', 'float32', 'float16'])
@pytest.mark.parametrize('vector', [np.array([20, 30, 40]),
pd.Index([20, 30, 40]),
Series([20, 30, 40])],
ids=lambda x: type(x).__name__)
def test_td64arr_div_numeric_array(self, box_with_array, vector, dtype):
# GH#4521
# divide/multiply by integers
xbox = get_upcast_box(box_with_array, vector)
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
vector = vector.astype(dtype)
expected = Series(['2.95D', '1D 23H 12m', 'NaT'],
dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, xbox)
result = tdser / vector
tm.assert_equal(result, expected)
pattern = ('true_divide cannot use operands|'
'cannot perform __div__|'
'cannot perform __truediv__|'
'unsupported operand|'
'Cannot divide')
with pytest.raises(TypeError, match=pattern):
vector / tdser
if not isinstance(vector, pd.Index):
# Index.__rdiv__ won't try to operate elementwise, just raises
result = tdser / vector.astype(object)
if box_with_array is pd.DataFrame:
expected = [tdser.iloc[0, n] / vector[n]
for n in range(len(vector))]
else:
expected = [tdser[n] / vector[n] for n in range(len(tdser))]
expected = tm.box_expected(expected, xbox)
tm.assert_equal(result, expected)
with pytest.raises(TypeError, match=pattern):
vector.astype(object) / tdser
@pytest.mark.parametrize('names', [(None, None, None),
('Egon', 'Venkman', None),
('NCC1701D', 'NCC1701D', 'NCC1701D')])
def test_td64arr_mul_int_series(self, box_df_fail, names):
# GH#19042 test for correct name attachment
box = box_df_fail # broadcasts along wrong axis, but doesn't raise
tdi = TimedeltaIndex(['0days', '1day', '2days', '3days', '4days'],
name=names[0])
# TODO: Should we be parametrizing over types for `ser` too?
ser = Series([0, 1, 2, 3, 4], dtype=np.int64, name=names[1])
expected = Series(['0days', '1day', '4days', '9days', '16days'],
dtype='timedelta64[ns]',
name=names[2])
tdi = tm.box_expected(tdi, box)
box = Series if (box is pd.Index and type(ser) is Series) else box
expected = tm.box_expected(expected, box)
result = ser * tdi
tm.assert_equal(result, expected)
# The direct operation tdi * ser still needs to be fixed.
result = ser.__rmul__(tdi)
tm.assert_equal(result, expected)
# TODO: Should we be parametrizing over types for `ser` too?
@pytest.mark.parametrize('names', [(None, None, None),
('Egon', 'Venkman', None),
('NCC1701D', 'NCC1701D', 'NCC1701D')])
def test_float_series_rdiv_td64arr(self, box_with_array, names):
# GH#19042 test for correct name attachment
# TODO: the direct operation TimedeltaIndex / Series still
# needs to be fixed.
box = box_with_array
tdi = TimedeltaIndex(['0days', '1day', '2days', '3days', '4days'],
name=names[0])
ser = Series([1.5, 3, 4.5, 6, 7.5], dtype=np.float64, name=names[1])
xname = names[2] if box is not tm.to_array else names[1]
expected = Series([tdi[n] / ser[n] for n in range(len(ser))],
dtype='timedelta64[ns]',
name=xname)
xbox = box
if box in [pd.Index, tm.to_array] and type(ser) is Series:
xbox = Series
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, xbox)
result = ser.__rdiv__(tdi)
if box is pd.DataFrame:
# TODO: Should we skip this case sooner or test something else?
assert result is NotImplemented
else:
tm.assert_equal(result, expected)
|
|
15,622
|
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] | 8
|
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|
def test_td64arr_mul_int(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
result = idx * 1
tm.assert_equal(result, idx)
result = 1 * idx
tm.assert_equal(result, idx)
|
|
15,623
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def test_timedelta64_conversions(self, m, unit):
startdate = Series(pd.date_range('2013-01-01', '2013-01-03'))
enddate = Series(pd.date_range('2013-03-01', '2013-03-03'))
ser = enddate - startdate
ser[2] = np.nan
# op
expected = Series([x / np.timedelta64(m, unit) for x in ser])
result = ser / np.timedelta64(m, unit)
tm.assert_series_equal(result, expected)
# reverse op
expected = Series([Timedelta(np.timedelta64(m, unit)) / x
for x in ser])
result = np.timedelta64(m, unit) / ser
tm.assert_series_equal(result, expected)
|
|
15,624
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "box_with_array", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 5}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "arange", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "int64"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "rng5", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "rng5", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "TimedeltaIndex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "rng5", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 5}}}}], "func": {"_type": "Name", "_fields": {"id": "TimedeltaIndex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 5}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "int64"}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_tdi_mul_int_array_zerodim", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_tdi_mul_int_array_zerodim(self, box_with_array):
rng5 = np.arange(5, dtype='int64')
idx = TimedeltaIndex(rng5)
expected = TimedeltaIndex(rng5 * 5)
idx = tm.box_expected(idx, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = idx * np.array(5, dtype='int64')
tm.assert_equal(result, expected)
|
|
15,625
|
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] | 7
|
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|
def test_tdi_mul_int_array(self, box_with_array):
rng5 = np.arange(5, dtype='int64')
idx = TimedeltaIndex(rng5)
expected = TimedeltaIndex(rng5 ** 2)
idx = tm.box_expected(idx, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = idx * rng5
tm.assert_equal(result, expected)
|
|
15,626
|
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{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_tdi_mul_int_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_tdi_mul_int_series(self, box_with_array):
box = box_with_array
xbox = pd.Series if box in [pd.Index, tm.to_array] else box
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
expected = TimedeltaIndex(np.arange(5, dtype='int64') ** 2)
idx = tm.box_expected(idx, box)
expected = tm.box_expected(expected, xbox)
result = idx * pd.Series(np.arange(5, dtype='int64'))
tm.assert_equal(result, expected)
|
|
15,627
|
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] | 9
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{"_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": "box_with_array", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "IfExp", "_fields": {"body": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Series", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Index", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "to_array", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "xbox", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", 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"Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_tdi_mul_float_series", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_tdi_mul_float_series(self, box_with_array):
box = box_with_array
xbox = pd.Series if box in [pd.Index, tm.to_array] else box
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box)
rng5f = np.arange(5, dtype='float64')
expected = TimedeltaIndex(rng5f * (rng5f + 1.0))
expected = tm.box_expected(expected, xbox)
result = idx * Series(rng5f + 1.0)
tm.assert_equal(result, expected)
|
|
15,628
|
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] | 7
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[]}}], "type_ignores": []}}
|
def test_tdi_rmul_arraylike(self, other, box_with_array):
box = box_with_array
xbox = get_upcast_box(box, other)
tdi = TimedeltaIndex(['1 Day'] * 10)
expected = timedelta_range('1 days', '10 days')
expected._data.freq = None
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, xbox)
result = other * tdi
tm.assert_equal(result, expected)
commute = tdi * other
tm.assert_equal(commute, expected)
|
|
15,629
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] | 8
|
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|
def test_td64arr_div_nat_invalid(self, box_with_array):
# don't allow division by NaT (maybe could in the future)
rng = timedelta_range('1 days', '10 days', name='foo')
rng = tm.box_expected(rng, box_with_array)
with pytest.raises(TypeError,
match="'?true_divide'? cannot use operands"):
rng / pd.NaT
with pytest.raises(TypeError, match='Cannot divide NaTType by'):
pd.NaT / rng
|
|
15,630
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|
def test_td64arr_div_int(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
result = idx / 1
tm.assert_equal(result, idx)
with pytest.raises(TypeError, match='Cannot divide'):
# GH#23829
1 / idx
|
|
15,631
|
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{"_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": "box_with_array", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10 days"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "NaT"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timedelta64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": 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"Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_div_td64nat", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_div_td64nat(self, box_with_array):
# GH#23829
rng = timedelta_range('1 days', '10 days',)
rng = tm.box_expected(rng, box_with_array)
other = np.timedelta64('NaT')
expected = np.array([np.nan] * 10)
expected = tm.box_expected(expected, box_with_array)
result = rng / other
tm.assert_equal(result, expected)
result = other / rng
tm.assert_equal(result, expected)
|
|
15,632
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|
def test_td64arr_div_tdlike_scalar_with_nat(self, two_hours,
box_with_array):
rng = TimedeltaIndex(['1 days', pd.NaT, '2 days'], name='foo')
expected = pd.Float64Index([12, np.nan, 24], name='foo')
rng = tm.box_expected(rng, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = rng / two_hours
tm.assert_equal(result, expected)
result = two_hours / rng
expected = 1 / expected
tm.assert_equal(result, expected)
|
|
15,633
|
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] | 10
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|
def test_td64arr_div_tdlike_scalar(self, two_hours, box_with_array):
# GH#20088, GH#22163 ensure DataFrame returns correct dtype
rng = timedelta_range('1 days', '10 days', name='foo')
expected = pd.Float64Index((np.arange(10) + 1) * 12, name='foo')
rng = tm.box_expected(rng, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = rng / two_hours
tm.assert_equal(result, expected)
result = two_hours / rng
expected = 1 / expected
tm.assert_equal(result, expected)
|
|
15,634
|
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"result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_div_td64_ndarray", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_div_td64_ndarray(self, box_with_array):
# GH#22631
rng = TimedeltaIndex(['1 days', pd.NaT, '2 days'])
expected = pd.Float64Index([12, np.nan, 24])
rng = tm.box_expected(rng, box_with_array)
expected = tm.box_expected(expected, box_with_array)
other = np.array([2, 4, 2], dtype='m8[h]')
result = rng / other
tm.assert_equal(result, expected)
result = rng / tm.box_expected(other, box_with_array)
tm.assert_equal(result, expected)
result = rng / other.astype(object)
tm.assert_equal(result, expected)
result = rng / list(other)
tm.assert_equal(result, expected)
# reversed op
expected = 1 / expected
result = other / rng
tm.assert_equal(result, expected)
result = tm.box_expected(other, box_with_array) / rng
tm.assert_equal(result, expected)
result = other.astype(object) / rng
tm.assert_equal(result, expected)
result = list(other) / rng
tm.assert_equal(result, expected)
|
|
15,635
|
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] | 10
|
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|
def test_tdarr_div_length_mismatch(self, box_with_array):
rng = TimedeltaIndex(['1 days', pd.NaT, '2 days'])
mismatched = [1, 2, 3, 4]
rng = tm.box_expected(rng, box_with_array)
for obj in [mismatched, mismatched[:2]]:
# one shorter, one longer
for other in [obj, np.array(obj), pd.Index(obj)]:
with pytest.raises(ValueError):
rng / other
with pytest.raises(ValueError):
other / rng
|
|
15,636
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{"_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": "box_with_array", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "scalar_td", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "minutes", "value": {"_type": "Constant", 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{}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_floordiv_tdscalar", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_floordiv_tdscalar(self, box_with_array, scalar_td):
# GH#18831
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
expected = Series([0, 0, np.nan])
td1 = tm.box_expected(td1, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
result = td1 // scalar_td
tm.assert_equal(result, expected)
|
|
15,637
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{"_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": "box_with_array", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "scalar_td", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "minutes", "value": {"_type": "Constant", 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"_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "transpose", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "td1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": 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{}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_rfloordiv_tdscalar", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_rfloordiv_tdscalar(self, box_with_array, scalar_td):
# GH#18831
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
expected = Series([1, 1, np.nan])
td1 = tm.box_expected(td1, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
result = scalar_td // td1
tm.assert_equal(result, expected)
|
|
15,638
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] | 9
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|
def test_td64arr_rfloordiv_tdscalar_explicit(self, box_with_array,
scalar_td):
# GH#18831
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
expected = Series([1, 1, np.nan])
td1 = tm.box_expected(td1, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
# We can test __rfloordiv__ using this syntax,
# see `test_timedelta_rfloordiv`
result = td1.__rfloordiv__(scalar_td)
tm.assert_equal(result, expected)
|
|
15,639
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] | 8
|
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|
def test_td64arr_floordiv_int(self, box_with_array):
idx = TimedeltaIndex(np.arange(5, dtype='int64'))
idx = tm.box_expected(idx, box_with_array)
result = idx // 1
tm.assert_equal(result, idx)
pattern = ('floor_divide cannot use operands|'
'Cannot divide int by Timedelta*')
with pytest.raises(TypeError, match=pattern):
1 // idx
|
|
15,640
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0.038462866097688675
] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "two_hours", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "box_with_array", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10 days"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "arange", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 12}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Int64Index", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "box_with_array", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "box_expected", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "FloorDiv", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "two_hours", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_floordiv_tdlike_scalar", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_floordiv_tdlike_scalar(self, two_hours, box_with_array):
tdi = timedelta_range('1 days', '10 days', name='foo')
expected = pd.Int64Index((np.arange(10) + 1) * 12, name='foo')
tdi = tm.box_expected(tdi, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = tdi // two_hours
tm.assert_equal(result, expected)
|
|
15,641
|
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|
def test_td64arr_rfloordiv_tdlike_scalar(self, scalar_td, box_with_array):
# GH#19125
tdi = TimedeltaIndex(['00:05:03', '00:05:03', pd.NaT], freq=None)
expected = pd.Index([2.0, 2.0, np.nan])
tdi = tm.box_expected(tdi, box_with_array, transpose=False)
expected = tm.box_expected(expected, box_with_array, transpose=False)
res = tdi.__rfloordiv__(scalar_td)
tm.assert_equal(res, expected)
expected = pd.Index([0.0, 0.0, np.nan])
expected = tm.box_expected(expected, box_with_array, transpose=False)
res = tdi // (scalar_td)
tm.assert_equal(res, expected)
|
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"_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "tdarr", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_td64arr_mod_int", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_mod_int(self, box_with_array):
tdi = timedelta_range('1 ns', '10 ns', periods=10)
tdarr = tm.box_expected(tdi, box_with_array)
expected = TimedeltaIndex(['1 ns', '0 ns'] * 5)
expected = tm.box_expected(expected, box_with_array)
result = tdarr % 2
tm.assert_equal(result, expected)
with pytest.raises(TypeError):
2 % tdarr
if box_with_array is pd.DataFrame:
pytest.xfail("DataFrame does not have __divmod__ or __rdivmod__")
result = divmod(tdarr, 2)
tm.assert_equal(result[1], expected)
tm.assert_equal(result[0], tdarr // 2)
|
|
15,643
|
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{"_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": "box_with_array", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "three_days", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 Day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "9 days"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": 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|
def test_td64arr_mod_tdscalar(self, box_with_array, three_days):
tdi = timedelta_range('1 Day', '9 days')
tdarr = tm.box_expected(tdi, box_with_array)
expected = TimedeltaIndex(['1 Day', '2 Days', '0 Days'] * 3)
expected = tm.box_expected(expected, box_with_array)
result = tdarr % three_days
tm.assert_equal(result, expected)
if box_with_array is pd.DataFrame:
pytest.xfail("DataFrame does not have __divmod__ or __rdivmod__")
result = divmod(tdarr, three_days)
tm.assert_equal(result[1], expected)
tm.assert_equal(result[0], tdarr // three_days)
|
|
15,644
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{"_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": "box_with_array", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "scalar_td", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "minutes", "value": {"_type": "Constant", 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"_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "td1", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "scalar_td", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "match", "value": {"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", 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null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_mul_tdscalar_invalid(self, box_with_array, scalar_td):
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
td1 = tm.box_expected(td1, box_with_array)
# check that we are getting a TypeError
# with 'operate' (from core/ops.py) for the ops that are not
# defined
pattern = 'operate|unsupported|cannot|not supported'
with pytest.raises(TypeError, match=pattern):
td1 * scalar_td
with pytest.raises(TypeError, match=pattern):
scalar_td * td1
|
|
15,645
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|
def test_td64arr_rmod_tdscalar(self, box_with_array, three_days):
tdi = timedelta_range('1 Day', '9 days')
tdarr = tm.box_expected(tdi, box_with_array)
expected = ['0 Days', '1 Day', '0 Days'] + ['3 Days'] * 6
expected = TimedeltaIndex(expected)
expected = tm.box_expected(expected, box_with_array)
result = three_days % tdarr
tm.assert_equal(result, expected)
if box_with_array is pd.DataFrame:
pytest.xfail("DataFrame does not have __divmod__ or __rdivmod__")
result = divmod(three_days, tdarr)
tm.assert_equal(result[1], expected)
tm.assert_equal(result[0], three_days // tdarr)
|
|
15,646
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "box_with_array", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "two", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "59 Days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "59 Days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "NaT"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Series", "value": 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|
def test_td64arr_div_numeric_scalar(self, box_with_array, two):
# GH#4521
# divide/multiply by integers
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
expected = Series(['29.5D', '29.5D', 'NaT'], dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = tdser / two
tm.assert_equal(result, expected)
with pytest.raises(TypeError, match='Cannot divide'):
two / tdser
|
|
15,647
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] | 7
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|
def test_td64arr_mul_numeric_scalar(self, box_with_array, one):
# GH#4521
# divide/multiply by integers
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
expected = Series(['-59 Days', '-59 Days', 'NaT'],
dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, box_with_array)
result = tdser * (-one)
tm.assert_equal(result, expected)
result = (-one) * tdser
tm.assert_equal(result, expected)
expected = Series(['118 Days', '118 Days', 'NaT'],
dtype='timedelta64[ns]')
expected = tm.box_expected(expected, box_with_array)
result = tdser * (2 * one)
tm.assert_equal(result, expected)
result = (2 * one) * tdser
tm.assert_equal(result, expected)
|
|
15,648
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] | 7
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|
def test_td64arr_rmul_numeric_array(self, box_with_array, vector, dtype):
# GH#4521
# divide/multiply by integers
xbox = get_upcast_box(box_with_array, vector)
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
vector = vector.astype(dtype)
expected = Series(['1180 Days', '1770 Days', 'NaT'],
dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, xbox)
result = tdser * vector
tm.assert_equal(result, expected)
result = vector * tdser
tm.assert_equal(result, expected)
|
|
15,649
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"_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vector", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Index", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "astype", "value": {"_type": "Name", "_fields": {"id": "vector", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "tdser", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "match", "value": {"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_td64arr_div_numeric_array", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_div_numeric_array(self, box_with_array, vector, dtype):
# GH#4521
# divide/multiply by integers
xbox = get_upcast_box(box_with_array, vector)
tdser = pd.Series(['59 Days', '59 Days', 'NaT'], dtype='m8[ns]')
vector = vector.astype(dtype)
expected = Series(['2.95D', '1D 23H 12m', 'NaT'],
dtype='timedelta64[ns]')
tdser = tm.box_expected(tdser, box_with_array)
expected = tm.box_expected(expected, xbox)
result = tdser / vector
tm.assert_equal(result, expected)
pattern = ('true_divide cannot use operands|'
'cannot perform __div__|'
'cannot perform __truediv__|'
'unsupported operand|'
'Cannot divide')
with pytest.raises(TypeError, match=pattern):
vector / tdser
if not isinstance(vector, pd.Index):
# Index.__rdiv__ won't try to operate elementwise, just raises
result = tdser / vector.astype(object)
if box_with_array is pd.DataFrame:
expected = [tdser.iloc[0, n] / vector[n]
for n in range(len(vector))]
else:
expected = [tdser[n] / vector[n] for n in range(len(tdser))]
expected = tm.box_expected(expected, xbox)
tm.assert_equal(result, expected)
with pytest.raises(TypeError, match=pattern):
vector.astype(object) / tdser
|
|
15,650
|
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{}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tdi", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__rdiv__", "value": {"_type": "Name", "_fields": {"id": "ser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "NotImplemented", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "box", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DataFrame", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "name": "test_float_series_rdiv_td64arr", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_float_series_rdiv_td64arr(self, box_with_array, names):
# GH#19042 test for correct name attachment
# TODO: the direct operation TimedeltaIndex / Series still
# needs to be fixed.
box = box_with_array
tdi = TimedeltaIndex(['0days', '1day', '2days', '3days', '4days'],
name=names[0])
ser = Series([1.5, 3, 4.5, 6, 7.5], dtype=np.float64, name=names[1])
xname = names[2] if box is not tm.to_array else names[1]
expected = Series([tdi[n] / ser[n] for n in range(len(ser))],
dtype='timedelta64[ns]',
name=xname)
xbox = box
if box in [pd.Index, tm.to_array] and type(ser) is Series:
xbox = Series
tdi = tm.box_expected(tdi, box)
expected = tm.box_expected(expected, xbox)
result = ser.__rdiv__(tdi)
if box is pd.DataFrame:
# TODO: Should we skip this case sooner or test something else?
assert result is NotImplemented
else:
tm.assert_equal(result, expected)
|
|
15,651
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|
def test_td64arr_mul_int_series(self, box_df_fail, names):
# GH#19042 test for correct name attachment
box = box_df_fail # broadcasts along wrong axis, but doesn't raise
tdi = TimedeltaIndex(['0days', '1day', '2days', '3days', '4days'],
name=names[0])
# TODO: Should we be parametrizing over types for `ser` too?
ser = Series([0, 1, 2, 3, 4], dtype=np.int64, name=names[1])
expected = Series(['0days', '1day', '4days', '9days', '16days'],
dtype='timedelta64[ns]',
name=names[2])
tdi = tm.box_expected(tdi, box)
box = Series if (box is pd.Index and type(ser) is Series) else box
expected = tm.box_expected(expected, box)
result = ser * tdi
tm.assert_equal(result, expected)
# The direct operation tdi * ser still needs to be fixed.
result = ser.__rmul__(tdi)
tm.assert_equal(result, expected)
|
|
15,652
|
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"type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "scalar_td", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "td1", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "match", "value": {"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "td1", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "scalar_td", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "match", "value": {"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_td64arr_pow_invalid", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestTimedeltaArraylikeInvalidArithmeticOps", "bases": [], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestTimedeltaArraylikeInvalidArithmeticOps:
def test_td64arr_pow_invalid(self, scalar_td, box_with_array):
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
td1 = tm.box_expected(td1, box_with_array)
# check that we are getting a TypeError
# with 'operate' (from core/ops.py) for the ops that are not
# defined
pattern = 'operate|unsupported|cannot|not supported'
with pytest.raises(TypeError, match=pattern):
scalar_td ** td1
with pytest.raises(TypeError, match=pattern):
td1 ** scalar_td
|
|
15,653
|
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] | 9
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{"_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": "scalar_td", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "box_with_array", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "timedelta", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "minutes", "value": {"_type": "Constant", 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"decorator_list": []}}], "type_ignores": []}}
|
def test_td64arr_pow_invalid(self, scalar_td, box_with_array):
td1 = Series([timedelta(minutes=5, seconds=3)] * 3)
td1.iloc[2] = np.nan
td1 = tm.box_expected(td1, box_with_array)
# check that we are getting a TypeError
# with 'operate' (from core/ops.py) for the ops that are not
# defined
pattern = 'operate|unsupported|cannot|not supported'
with pytest.raises(TypeError, match=pattern):
scalar_td ** td1
with pytest.raises(TypeError, match=pattern):
td1 ** scalar_td
|
|
15,654
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kw", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "orig_warn", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kw", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pop", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "popwarn", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "popwarn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "canary", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "popwarn", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "match", "value": {"_type": "Name", "_fields": {"id": "re", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "regex", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_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": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "popwarn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "eq_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}], "name": "capture_warnings", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def capture_warnings(*args, **kw):
orig_warn(*args, **kw)
popwarn = warnings.pop(0)
canary.append(popwarn)
if regex:
assert re.match(popwarn, args[0])
else:
eq_(args[0], popwarn)
|
|
15,655
|
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"keywords": []}}}}], "name": "get_property_paths", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Fountain", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Fountain(object):
def __init__(self, host='localhost', port=5002):
self.__fountain_url = 'http://{}:{}'.format(host, port)
self.__types = {}
self.__properties = {}
def __send_request(self, path):
try:
response = requests.get(urlparse.urljoin(self.__fountain_url, path))
if response.status_code != 200:
raise IOError(response.json())
return response.json()
except requests.ConnectionError:
message = 'A fountain is not available'
log.error(message)
raise EnvironmentError(message)
@property
def types(self):
response = self.__send_request('types')
return response.get('types')
@property
def properties(self):
response = self.__send_request('properties')
return response.get('properties')
def get_type_seeds(self, ty):
response = self.__send_request('seeds/{}'.format(ty))
return response.get('seeds')
def get_property(self, prop):
if prop not in self.__properties:
self.__properties[prop] = self.__send_request('properties/{}'.format(prop))
return self.__properties[prop]
def get_type(self, ty):
if ty not in self.__types:
self.__types[ty] = self.__send_request('types/{}'.format(ty))
return self.__types[ty]
@property
def prefixes(self):
response = self.__send_request('prefixes')
return response
def get_property_paths(self, prop):
response = self.__send_request('paths/{}'.format(prop))
return response.get("paths")
|
|
15,656
|
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"Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_symbol_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "code", "ctx": {"_type": "Store", "_fields": {}}}}}}], "iter": {"_type": "Name", "_fields": {"id": "string", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "code", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "get_string_code", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "BNPVirtKeyboard", "bases": [{"_type": "Name", "_fields": {"id": "VirtKeyboard", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class BNPVirtKeyboard(VirtKeyboard):
symbols={'0': '9cc4789a2cb223e8f2d5e676e90264b5',
'1': 'e10b58fc085f9683052d5a63c96fc912',
'2': '04ec647e7b3414bcc069f0c54eb55a4c',
'3': 'fde84fd9bac725db8463554448f1e469',
'4': '2359eea8671bf112b58264bec0294f71',
'5': '82b55b63480114f04fad8c5c4fa5673a',
'6': 'e074864faeaeabb3be3d118192cd8879',
'7': 'af5740e4ca71fadc6f4ae1412d864a1c',
'8': 'cab759c574038ad89a0e35cc76ab7214',
'9': '828cf0faf86ac78e7f43208907620527'
}
url="/NSImgGrille?timestamp=%d"
color=27
def __init__(self, page):
coords = {}
size = 136
x, y, width, height = (0, 0, size/5, size/5)
for a in page.document.xpath('//div[@id="secret-nbr-keyboard"]/a'):
code = a.attrib['ondblclick']
coords[code] = (x+1, y+1, x+height-2, y+height-2)
if (x + width + 1) >= size:
y += height
x = 0
else:
x += width
VirtKeyboard.__init__(self, page.browser.openurl(self.url % time.time()), coords, self.color)
self.check_symbols(self.symbols, page.browser.responses_dirname)
def get_symbol_code(self, md5sum):
code = VirtKeyboard.get_symbol_code(self, md5sum)
return re.sub(u'[^\d]', '', code)
def get_string_code(self, string):
code = ''
for c in string:
code += self.get_symbol_code(self.symbols[c])
return code
|
|
15,657
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "path", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__fountain_url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urljoin", "value": {"_type": "Name", "_fields": {"id": "urlparse", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Name", "_fields": {"id": "requests", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "json", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "IOError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_code", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 200}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "json", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "A fountain is not available"}}, "targets": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "EnvironmentError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": null, "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ConnectionError", "value": {"_type": "Name", "_fields": {"id": "requests", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}], "name": "__send_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __send_request(self, path):
try:
response = requests.get(urlparse.urljoin(self.__fountain_url, path))
if response.status_code != 200:
raise IOError(response.json())
return response.json()
except requests.ConnectionError:
message = 'A fountain is not available'
log.error(message)
raise EnvironmentError(message)
|
|
15,658
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|
class LoginPage(Page):
def on_loaded(self):
for td in self.document.getroot().cssselect('td.LibelleErreur'):
if td.text is None:
continue
msg = td.text.strip()
if 'indisponible' in msg:
raise BrowserUnavailable(msg)
def login(self, login, password):
try:
vk=BNPVirtKeyboard(self)
except VirtKeyboardError as err:
self.logger.error("Error: %s"%err)
return False
# Mechanize does not recognize the form..
form = self.document.xpath('//form[@name="logincanalnet"]')[0]
url = form.attrib['action']
params = {}
for ctrl in form.findall('input'):
params[ctrl.attrib['name']] = ctrl.attrib['value']
params['ch1'] = login.encode('iso-8859-1')
params['ch5'] = vk.get_string_code(password)
self.browser.location(url, urllib.urlencode(params))
|
|
15,659
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|
def __init__(self, page):
coords = {}
size = 136
x, y, width, height = (0, 0, size/5, size/5)
for a in page.document.xpath('//div[@id="secret-nbr-keyboard"]/a'):
code = a.attrib['ondblclick']
coords[code] = (x+1, y+1, x+height-2, y+height-2)
if (x + width + 1) >= size:
y += height
x = 0
else:
x += width
VirtKeyboard.__init__(self, page.browser.openurl(self.url % time.time()), coords, self.color)
self.check_symbols(self.symbols, page.browser.responses_dirname)
|
|
15,660
|
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"_fields": {}}, "slice": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "attrib", "value": {"_type": "Name", "_fields": {"id": "ctrl", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "value": {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "input"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "findall", "value": {"_type": "Name", "_fields": {"id": "form", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "ctrl", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "iso-8859-1"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "encode", "value": {"_type": "Name", "_fields": {"id": "login", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "ch1"}}, "value": {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "password", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_string_code", "value": {"_type": "Name", "_fields": {"id": "vk", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "ch5"}}, "value": {"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "params", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urlencode", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "location", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "browser", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "login", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def login(self, login, password):
try:
vk=BNPVirtKeyboard(self)
except VirtKeyboardError as err:
self.logger.error("Error: %s"%err)
return False
# Mechanize does not recognize the form..
form = self.document.xpath('//form[@name="logincanalnet"]')[0]
url = form.attrib['action']
params = {}
for ctrl in form.findall('input'):
params[ctrl.attrib['name']] = ctrl.attrib['value']
params['ch1'] = login.encode('iso-8859-1')
params['ch5'] = vk.get_string_code(password)
self.browser.location(url, urllib.urlencode(params))
|
|
15,661
|
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{"_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": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Name", "_fields": {"id": 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"keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class ConfirmPage(Page):
def get_error(self):
for td in self.document.xpath('//td[@class="hdvon1"]'):
if td.text:
return td.text.strip()
return None
def get_relocate_url(self):
script = self.document.xpath('//script')[0]
m = re.match('document.location.replace\("(.*)"\)', script.text[script.text.find('document.location.replace'):])
if m:
return m.group(1)
|
|
15,662
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rt_input", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expected", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "axis", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "ragged_rank", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expected_ragged_rank", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "rt_input", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constant", "value": {"_type": "Name", "_fields": {"id": "ragged_factory_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "ragged_rank", "value": {"_type": "Name", "_fields": {"id": "ragged_rank", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "rt", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "axis", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "row_lengths", "value": {"_type": "Name", "_fields": {"id": "rt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "lengths", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "lengths", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ragged_rank", "value": {"_type": "Name", "_fields": {"id": "lengths", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_ragged_rank", "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": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "lengths", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "RaggedTensor", "value": {"_type": "Name", "_fields": {"id": "ragged_tensor", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Name", "_fields": {"id": "expected_ragged_rank", "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": []}}}}]}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "expected_ragged_rank", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "name": "testRowLengths", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testRowLengths(self,
rt_input,
expected,
axis=1,
ragged_rank=None,
expected_ragged_rank=None):
rt = ragged_factory_ops.constant(rt_input, ragged_rank=ragged_rank)
lengths = rt.row_lengths(axis)
self.assertAllEqual(lengths, expected)
if expected_ragged_rank is not None:
if isinstance(lengths, ragged_tensor.RaggedTensor):
self.assertEqual(lengths.ragged_rank, expected_ragged_rank)
else:
self.assertEqual(0, expected_ragged_rank)
|
|
15,663
|
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"List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "expected_ragged_rank", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_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": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_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": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}}}, {"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_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": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_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": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}}}, {"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_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": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, {"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "expected_ragged_rank", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_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": 2}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 6}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 9}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, {"_type": "keyword", "_fields": {"arg": "expected", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "expected_ragged_rank", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parameters", "value": {"_type": "Name", "_fields": {"id": "parameterized", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rt_input", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "exception", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "message", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "axis", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "rt_input", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constant", "value": {"_type": "Name", "_fields": {"id": "ragged_factory_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "rt", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "axis", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "row_lengths", "value": {"_type": "Name", "_fields": {"id": "rt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "exception", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaisesRegexp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testErrors", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}, {"_type": "Constant", "_fields": {"kind": null, "value": 20}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 30}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}, {"_type": "keyword", "_fields": {"arg": "exception", "value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "InvalidArgumentError", "value": {"_type": "Name", "_fields": {"id": "errors", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rt_input", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 4}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}}}, {"_type": "keyword", "_fields": {"arg": "exception", "value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "InvalidArgumentError", "value": {"_type": "Name", "_fields": {"id": "errors", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parameters", "value": {"_type": "Name", "_fields": {"id": "parameterized", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}], "name": "RaggedRowLengthsOp", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TensorFlowTestCase", "value": {"_type": "Name", "_fields": {"id": "test_util", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "parameterized", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class RaggedRowLengthsOp(test_util.TensorFlowTestCase,
parameterized.TestCase):
@parameterized.parameters([
# Docstring Example
dict(
rt_input=[[[3, 1, 4], [1]], [], [[5, 9], [2]], [[6]], []],
expected=[2, 0, 2, 1, 0]),
dict(
rt_input=[[[3, 1, 4], [1]], [], [[5, 9], [2]], [[6]], []],
axis=2,
expected=[[3, 1], [], [2, 1], [1], []]),
# 2D Tensor (1 ragged dimension)
dict(
rt_input=[['a'], ['b', 'c', 'd'], ['e'], [], ['f']],
expected=[1, 3, 1, 0, 1]),
dict(
rt_input=[['a'], ['b', 'c', 'd'], ['e'], [], ['f']],
axis=0,
expected=5),
dict(
rt_input=[['a', 'b', 'c', 'd', 'e', 'f', 'g']],
expected=[7]),
dict(
rt_input=[[], ['a', 'b', 'c', 'd', 'e', 'f', 'g'], []],
expected=[0, 7, 0]),
dict(
rt_input=[],
ragged_rank=1,
expected=[]),
dict(
rt_input=[],
ragged_rank=1,
axis=0,
expected=0),
# 3D Tensor (1 ragged dimension)
dict(
rt_input=[[[1, 2], [3, 4], [5, 6]], [[7, 8], [9, 10]]],
ragged_rank=1,
axis=0,
expected=2),
dict(
rt_input=[[[1, 2], [3, 4], [5, 6]], [[7, 8], [9, 10]]],
ragged_rank=1,
axis=1,
expected=[3, 2]),
dict(
rt_input=[[[1, 2], [3, 4], [5, 6]], [[7, 8], [9, 10]]],
ragged_rank=1,
axis=2,
expected=[[2, 2, 2], [2, 2]],
expected_ragged_rank=1),
# 3D Tensor (2 ragged dimensions)
dict(
rt_input=[[[1, 2], [3, 4, 5], []], [[6, 7, 8, 9], [10]]],
axis=0,
expected=2),
dict(
rt_input=[[[1, 2], [3, 4, 5], []], [[6, 7, 8, 9], [10]]],
axis=-3,
expected=2),
dict(
rt_input=[[[1, 2], [3, 4, 5], []], [[6, 7, 8, 9], [10]]],
axis=1,
expected=[3, 2]),
dict(
rt_input=[[[1, 2], [3, 4, 5], []], [[6, 7, 8, 9], [10]]],
axis=-2,
expected=[3, 2]),
dict(
rt_input=[[[1, 2], [3, 4, 5], []], [[6, 7, 8, 9], [10]]],
axis=2,
expected=[[2, 3, 0], [4, 1]],
expected_ragged_rank=1),
dict(
rt_input=[[[1, 2], [3, 4, 5], []], [[6, 7, 8, 9], [10]]],
axis=-1,
expected=[[2, 3, 0], [4, 1]],
expected_ragged_rank=1),
]) # pyformat: disable
def testRowLengths(self,
rt_input,
expected,
axis=1,
ragged_rank=None,
expected_ragged_rank=None):
rt = ragged_factory_ops.constant(rt_input, ragged_rank=ragged_rank)
lengths = rt.row_lengths(axis)
self.assertAllEqual(lengths, expected)
if expected_ragged_rank is not None:
if isinstance(lengths, ragged_tensor.RaggedTensor):
self.assertEqual(lengths.ragged_rank, expected_ragged_rank)
else:
self.assertEqual(0, expected_ragged_rank)
@parameterized.parameters([
dict( # axis=2 out of bounds: expected -2<=axis<2.
rt_input=[[10, 20], [30]],
axis=2,
exception=(ValueError, errors.InvalidArgumentError)),
dict( # axis=-3 out of bounds: expected -2<=axis<2.
rt_input=[[2, 3, 0], [4, 1, 2]],
axis=-3,
exception=(ValueError, errors.InvalidArgumentError)),
])
def testErrors(self, rt_input, exception, message=None, axis=1):
rt = ragged_factory_ops.constant(rt_input)
with self.assertRaisesRegexp(exception, message):
rt.row_lengths(axis)
|
|
15,664
|
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def process(self, msg, kwargs):
# NOTE(mrodden): catch any Message/other object and
# coerce to unicode before they can get
# to the python logging and possibly
# cause string encoding trouble
if not isinstance(msg, six.string_types):
msg = six.text_type(msg)
if 'extra' not in kwargs:
kwargs['extra'] = {}
extra = kwargs['extra']
context = kwargs.pop('context', None)
if not context:
context = getattr(local.store, 'context', None)
if context:
extra.update(_dictify_context(context))
instance = kwargs.pop('instance', None)
instance_uuid = (extra.get('instance_uuid') or
kwargs.pop('instance_uuid', None))
instance_extra = ''
if instance:
instance_extra = CONF.instance_format % instance
elif instance_uuid:
instance_extra = (CONF.instance_uuid_format
% {'uuid': instance_uuid})
extra['instance'] = instance_extra
extra.setdefault('user_identity', kwargs.pop('user_identity', None))
extra['project'] = self.project
extra['version'] = self.version
extra['extra'] = extra.copy()
return msg, kwargs
|
|
15,665
|
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[{"_type": "Name", "_fields": {"id": "level", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setLevel", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version_info", "value": {"_type": "Name", "_fields": {"id": "sys", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7}}]}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "level_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setLevel", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "default_log_levels", "value": {"_type": "Name", "_fields": {"id": "CONF", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "pair", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "_setup_logging_from_conf", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _setup_logging_from_conf(project, version):
log_root = getLogger(None).logger
for handler in log_root.handlers:
log_root.removeHandler(handler)
if CONF.use_syslog:
facility = _find_facility_from_conf()
# TODO(bogdando) use the format provided by RFCSysLogHandler
# after existing syslog format deprecation in J
if CONF.use_syslog_rfc_format:
syslog = RFCSysLogHandler(address='/dev/log',
facility=facility)
else:
syslog = logging.handlers.SysLogHandler(address='/dev/log',
facility=facility)
log_root.addHandler(syslog)
logpath = _get_log_file_path()
if logpath:
filelog = logging.handlers.WatchedFileHandler(logpath)
log_root.addHandler(filelog)
if CONF.use_stderr:
streamlog = ColorHandler()
log_root.addHandler(streamlog)
elif not logpath:
# pass sys.stdout as a positional argument
# python2.6 calls the argument strm, in 2.7 it's stream
streamlog = logging.StreamHandler(sys.stdout)
log_root.addHandler(streamlog)
if CONF.publish_errors:
handler = importutils.import_object(
"fuel_agent.openstack.common.log_handler.PublishErrorsHandler",
logging.ERROR)
log_root.addHandler(handler)
datefmt = CONF.log_date_format
for handler in log_root.handlers:
# NOTE(alaski): CONF.log_format overrides everything currently. This
# should be deprecated in favor of context aware formatting.
if CONF.log_format:
handler.setFormatter(logging.Formatter(fmt=CONF.log_format,
datefmt=datefmt))
log_root.info('Deprecated: log_format is now deprecated and will '
'be removed in the next release')
else:
handler.setFormatter(ContextFormatter(project=project,
version=version,
datefmt=datefmt))
if CONF.debug:
log_root.setLevel(logging.DEBUG)
elif CONF.verbose:
log_root.setLevel(logging.INFO)
else:
log_root.setLevel(logging.WARNING)
for pair in CONF.default_log_levels:
mod, _sep, level_name = pair.partition('=')
logger = logging.getLogger(mod)
# NOTE(AAzza) in python2.6 Logger.setLevel doesn't convert string name
# to integer code.
if sys.version_info < (2, 7):
level = logging.getLevelName(level_name)
logger.setLevel(level)
else:
logger.setLevel(level_name)
|
|
15,666
|
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"_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "MODULE", "value": {"_type": "Name", "_fields": {"id": "modname", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "doc_rst", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "doc_rst", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def main(argv):
parser = OptionParser(usage=("Usage: %prog [options] modulename\n"
"Utility script to create a basic template for a new ns-3 module"))
(options, args) = parser.parse_args()
if len(args) != 1:
parser.print_help()
return 1
modname = args[0].lower()
if False in [word.isalnum() for word in modname.split("-")]:
print >> sys.stderr, "Module name should only contain alphanumeric characters and dashes"
return 2
assert os.path.sep not in modname
moduledir = os.path.join(os.path.dirname(__file__), modname)
if os.path.exists(moduledir):
print >> sys.stderr, "Module %r already exists" % (modname,)
return 2
print("Creating module %r, "
"run './waf configure' to include it in the build" % (modname,))
os.mkdir(moduledir)
wscript = file(os.path.join(moduledir, "wscript"), "wt")
wscript.write(WSCRIPT_TEMPLATE % dict(MODULE=modname))
wscript.close()
#
# model
#
modeldir = os.path.join(moduledir, "model")
os.mkdir(modeldir)
model_cc = file(os.path.join(moduledir, "model", "%s.cc" % modname), "wt")
model_cc.write(MODEL_CC_TEMPLATE % dict(MODULE=modname))
model_cc.close()
model_h = file(os.path.join(moduledir, "model", "%s.h" % modname), "wt")
model_h.write(MODEL_H_TEMPLATE % dict(MODULE=modname, INCLUDE_GUARD="%s_H" % (modname.replace("-", "_").upper()),))
model_h.close()
#
# test
#
testdir = os.path.join(moduledir, "test")
os.mkdir(testdir)
test_cc = file(os.path.join(moduledir, "test", "%s-test-suite.cc" % modname), "wt")
test_cc.write(TEST_CC_TEMPLATE % dict(MODULE=modname,
CAPITALIZED=''.join([word.capitalize() for word in modname.split('-')]),
COMPOUND=''.join([modname.split('-')[0]] + [word.capitalize() for word in modname.split('-')[1:]]),
))
test_cc.close()
#
# helper
#
helperdir = os.path.join(moduledir, "helper")
os.mkdir(helperdir)
helper_cc = file(os.path.join(moduledir, "helper", "%s-helper.cc" % modname), "wt")
helper_cc.write(HELPER_CC_TEMPLATE % dict(MODULE=modname))
helper_cc.close()
helper_h = file(os.path.join(moduledir, "helper", "%s-helper.h" % modname), "wt")
helper_h.write(HELPER_H_TEMPLATE % dict(MODULE=modname, INCLUDE_GUARD="%s_HELPER_H" % (modname.replace("-", "_").upper()),))
helper_h.close()
#
# examples
#
examplesdir = os.path.join(moduledir, "examples")
os.mkdir(examplesdir)
examples_wscript = file(os.path.join(examplesdir, "wscript"), "wt")
examples_wscript.write(EXAMPLES_WSCRIPT_TEMPLATE % dict(MODULE=modname))
examples_wscript.close()
example_cc = file(os.path.join(moduledir, "examples", "%s-example.cc" % modname), "wt")
example_cc.write(EXAMPLE_CC_TEMPLATE % dict(MODULE=modname))
example_cc.close()
#
# doc
#
docdir = os.path.join(moduledir, "doc")
os.mkdir(docdir)
doc_rst = file(os.path.join(moduledir, "doc", "%s.rst" % modname), "wt")
doc_rst.write(DOC_RST_TEMPLATE % dict(MODULE=modname))
doc_rst.close()
return 0
|
|
15,667
|
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{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"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": "socialaccount"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "0002_token_max_lengths"}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "oauth"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "0004_drop_github_and_bitbucket_models"}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "dependencies", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], 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"Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "model_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "remoterepository"}}}}, {"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "account"}}}}, {"_type": "keyword", "_fields": {"arg": "field", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ForeignKey", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "related_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "remote_repositories"}}}}, {"_type": "keyword", "_fields": {"arg": "verbose_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Connected account"}}}}, {"_type": "keyword", "_fields": {"arg": "blank", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "to", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "socialaccount.SocialAccount"}}}}, {"_type": "keyword", "_fields": {"arg": "null", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "on_delete", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CASCADE", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "operations", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "Migration", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Migration", "value": {"_type": "Name", "_fields": {"id": "migrations", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Migration(migrations.Migration):
dependencies = [
('socialaccount', '0002_token_max_lengths'),
('oauth', '0004_drop_github_and_bitbucket_models'),
]
operations = [
migrations.AddField(
model_name='remoteorganization',
name='account',
field=models.ForeignKey(related_name='remote_organizations', verbose_name='Connected account', blank=True, to='socialaccount.SocialAccount', null=True, on_delete=models.CASCADE),
),
migrations.AddField(
model_name='remoterepository',
name='account',
field=models.ForeignKey(related_name='remote_repositories', verbose_name='Connected account', blank=True, to='socialaccount.SocialAccount', null=True, on_delete=models.CASCADE),
),
]
|
|
15,668
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|
class Tag(models.Model):
name = models.CharField(max_length=100)
tagged_type = models.ForeignKey(ContentType, models.CASCADE, related_name="fixtures_tag_set")
tagged_id = models.PositiveIntegerField(default=0)
tagged = GenericForeignKey(ct_field='tagged_type', fk_field='tagged_id')
def __str__(self):
return '<%s: %s> tagged "%s"' % (self.tagged.__class__.__name__,
self.tagged, self.name)
|
|
15,669
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CharField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "max_length", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 100}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Article", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CASCADE", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ForeignKey", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "related_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "fixtures_featured_set"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "featured", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Article", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ManyToManyField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "blank", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "related_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "fixtures_articles_set"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "articles", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "__str__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Blog", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Model", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Blog(models.Model):
name = models.CharField(max_length=100)
featured = models.ForeignKey(Article, models.CASCADE, related_name='fixtures_featured_set')
articles = models.ManyToManyField(Article, blank=True,
related_name='fixtures_articles_set')
def __str__(self):
return self.name
|
|
15,670
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2011}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SetStartDate", "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": 2011}}, {"_type": "Constant", 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"SecurityType", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "USA", "value": {"_type": "Name", "_fields": {"id": "Market", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Create", "value": {"_type": "Name", "_fields": {"id": "Symbol", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "aapl", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Symbol", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "QQQ"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Daily", "value": {"_type": "Name", "_fields": {"id": "Resolution", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AddEquity", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "qqq", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "qqq", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "UniverseSettings", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FilterETFs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ETF", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Universe", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "AddUniverse", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "Initialize", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def Initialize(self):
self.SetStartDate(2011, 2, 1)
self.SetEndDate(2011, 4, 4)
self.SetCash(100000)
self.filterDateConstituentSymbolCount = {}
self.constituentDataEncountered = {}
self.constituentSymbols = []
self.mappingEventOccurred = False
self.UniverseSettings.Resolution = Resolution.Hour
self.aapl = Symbol.Create("AAPL", SecurityType.Equity, Market.USA)
self.qqq = self.AddEquity("QQQ", Resolution.Daily).Symbol
self.AddUniverse(self.Universe.ETF(self.qqq, self.UniverseSettings, self.FilterETFs))
|
|
15,671
|
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{"_type": "FormattedValue", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filterDateConstituentSymbolCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filterDateConstituentSymbolCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "No mapping/SymbolChangedEvent occurred. Expected for QQQ to be mapped from QQQQ -> QQQ"}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mappingEventOccurred", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Expected 25 or more constituents in filter function on "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": ", found "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "constituentsCount", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "constituentsCount", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 25}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filterDateConstituentSymbolCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "constituentsCount", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Received data in OnData(...) but it did not contain any constituent data on "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "%Y-%m-%d %H:%M:%S.%f"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strftime", "value": {"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "constituentEncountered", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constituentDataEncountered", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "constituentEncountered", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "OnEndOfAlgorithm", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ETFConstituentUniverseFilterFunctionRegressionAlgorithm", "bases": [{"_type": "Name", "_fields": {"id": "QCAlgorithm", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class ETFConstituentUniverseFilterFunctionRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2011, 2, 1)
self.SetEndDate(2011, 4, 4)
self.SetCash(100000)
self.filterDateConstituentSymbolCount = {}
self.constituentDataEncountered = {}
self.constituentSymbols = []
self.mappingEventOccurred = False
self.UniverseSettings.Resolution = Resolution.Hour
self.aapl = Symbol.Create("AAPL", SecurityType.Equity, Market.USA)
self.qqq = self.AddEquity("QQQ", Resolution.Daily).Symbol
self.AddUniverse(self.Universe.ETF(self.qqq, self.UniverseSettings, self.FilterETFs))
def FilterETFs(self, constituents):
constituentSymbols = [i.Symbol for i in constituents]
if self.aapl not in constituentSymbols:
raise Exception("AAPL not found in QQQ constituents")
self.filterDateConstituentSymbolCount[self.UtcTime.date()] = len(constituentSymbols)
for symbol in constituentSymbols:
self.constituentSymbols.append(symbol)
self.constituentSymbols = list(set(self.constituentSymbols))
return constituentSymbols
def OnData(self, data):
if len(data.SymbolChangedEvents) != 0:
for symbolChanged in data.SymbolChangedEvents.Values:
if symbolChanged.Symbol != self.qqq:
raise Exception(f"Mapped symbol is not QQQ. Instead, found: {symbolChanged.Symbol}")
if symbolChanged.OldSymbol != "QQQQ":
raise Exception(f"Old QQQ Symbol is not QQQQ. Instead, found: {symbolChanged.OldSymbol}")
if symbolChanged.NewSymbol != "QQQ":
raise Exception(f"New QQQ Symbol is not QQQ. Instead, found: {symbolChanged.NewSymbol}")
self.mappingEventOccurred = True
if self.qqq in data and len([i for i in data.Keys]) == 1:
return
if self.UtcTime.date() not in self.constituentDataEncountered:
self.constituentDataEncountered[self.UtcTime.date()] = False
if len([i for i in data.Keys if i in self.constituentSymbols]) != 0:
self.constituentDataEncountered[self.UtcTime.date()] = True
if not self.Portfolio.Invested:
self.SetHoldings(self.aapl, 0.5)
def OnEndOfAlgorithm(self):
if len(self.filterDateConstituentSymbolCount) != 2:
raise Exception(f"ETF constituent filtering function was not called 2 times (actual: {len(self.filterDateConstituentSymbolCount)}")
if not self.mappingEventOccurred:
raise Exception("No mapping/SymbolChangedEvent occurred. Expected for QQQ to be mapped from QQQQ -> QQQ")
for constituentDate, constituentsCount in self.filterDateConstituentSymbolCount.items():
if constituentsCount < 25:
raise Exception(f"Expected 25 or more constituents in filter function on {constituentDate}, found {constituentsCount}")
for constituentDate, constituentEncountered in self.constituentDataEncountered.items():
if not constituentEncountered:
raise Exception(f"Received data in OnData(...) but it did not contain any constituent data on {constituentDate.strftime('%Y-%m-%d %H:%M:%S.%f')}")
|
|
15,672
|
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] | 9
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{"_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": "constituents", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Symbol", "value": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "constituents", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "constituentSymbols", "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": "AAPL not found in QQQ constituents"}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "aapl", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "constituentSymbols", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "constituentSymbols", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "date", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "UtcTime", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filterDateConstituentSymbolCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "symbol", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constituentSymbols", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "constituentSymbols", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "symbol", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constituentSymbols", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "constituentSymbols", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "constituentSymbols", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "FilterETFs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def FilterETFs(self, constituents):
constituentSymbols = [i.Symbol for i in constituents]
if self.aapl not in constituentSymbols:
raise Exception("AAPL not found in QQQ constituents")
self.filterDateConstituentSymbolCount[self.UtcTime.date()] = len(constituentSymbols)
for symbol in constituentSymbols:
self.constituentSymbols.append(symbol)
self.constituentSymbols = list(set(self.constituentSymbols))
return constituentSymbols
|
|
15,673
|
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "constituentDataEncountered", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "date", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "UtcTime", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constituentDataEncountered", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "ListComp", "_fields": {"elt": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constituentSymbols", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Keys", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "aapl", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.5}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SetHoldings", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Invested", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Portfolio", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "orelse": []}}], "name": "OnData", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def OnData(self, data):
if len(data.SymbolChangedEvents) != 0:
for symbolChanged in data.SymbolChangedEvents.Values:
if symbolChanged.Symbol != self.qqq:
raise Exception(f"Mapped symbol is not QQQ. Instead, found: {symbolChanged.Symbol}")
if symbolChanged.OldSymbol != "QQQQ":
raise Exception(f"Old QQQ Symbol is not QQQQ. Instead, found: {symbolChanged.OldSymbol}")
if symbolChanged.NewSymbol != "QQQ":
raise Exception(f"New QQQ Symbol is not QQQ. Instead, found: {symbolChanged.NewSymbol}")
self.mappingEventOccurred = True
if self.qqq in data and len([i for i in data.Keys]) == 1:
return
if self.UtcTime.date() not in self.constituentDataEncountered:
self.constituentDataEncountered[self.UtcTime.date()] = False
if len([i for i in data.Keys if i in self.constituentSymbols]) != 0:
self.constituentDataEncountered[self.UtcTime.date()] = True
if not self.Portfolio.Invested:
self.SetHoldings(self.aapl, 0.5)
|
|
15,674
|
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{"_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": "main_dialog", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "text", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "QDialogButtonBox", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "buttonBox"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "findChild", "value": {"_type": "Name", "_fields": {"id": "main_dialog", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "buttonBox", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buttonBox", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNotNone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Name", "_fields": {"id": "button", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "button", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Name", "_fields": {"id": "button", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "text", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "buttons", "value": {"_type": "Name", "_fields": {"id": "buttonBox", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "button", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNotNone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}], "name": "get_button", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def get_button(self, main_dialog, text):
buttonBox = main_dialog.findChild(QDialogButtonBox, "buttonBox")
self.assertIsNotNone(buttonBox)
button = None
for button in buttonBox.buttons():
if str(button.text()) == text:
return button
self.assertIsNotNone(None)
return None
|
|
15,675
|
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] | 12
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{"_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": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "ETF constituent filtering function was not called 2 times (actual: "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filterDateConstituentSymbolCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filterDateConstituentSymbolCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "No mapping/SymbolChangedEvent occurred. Expected for QQQ to be mapped from QQQQ -> QQQ"}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mappingEventOccurred", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Expected 25 or more constituents in filter function on "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": ", found "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "constituentsCount", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "constituentsCount", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 25}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filterDateConstituentSymbolCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "constituentsCount", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Received data in OnData(...) but it did not contain any constituent data on "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "%Y-%m-%d %H:%M:%S.%f"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strftime", "value": {"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "constituentEncountered", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "items", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "constituentDataEncountered", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "constituentDate", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "constituentEncountered", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "OnEndOfAlgorithm", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def OnEndOfAlgorithm(self):
if len(self.filterDateConstituentSymbolCount) != 2:
raise Exception(f"ETF constituent filtering function was not called 2 times (actual: {len(self.filterDateConstituentSymbolCount)}")
if not self.mappingEventOccurred:
raise Exception("No mapping/SymbolChangedEvent occurred. Expected for QQQ to be mapped from QQQQ -> QQQ")
for constituentDate, constituentsCount in self.filterDateConstituentSymbolCount.items():
if constituentsCount < 25:
raise Exception(f"Expected 25 or more constituents in filter function on {constituentDate}, found {constituentsCount}")
for constituentDate, constituentEncountered in self.constituentDataEncountered.items():
if not constituentEncountered:
raise Exception(f"Received data in OnData(...) but it did not contain any constituent data on {constituentDate.strftime('%Y-%m-%d %H:%M:%S.%f')}")
|
|
15,676
|
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|
def get_memory(self, number):
_mem = self._memobj.memory[number]
_flg = self._memobj.flags[number]
_name = self._memobj.names[number]
mem = chirp_common.Memory()
mem.number = number
if _flg.empty:
mem.empty = True
return mem
mem.freq = _get_freq(_mem.freq)
mem.offset = _get_freq(_mem.offset)
mem.rtone = chirp_common.TONES[_mem.rtone - 1]
mem.ctone = chirp_common.TONES[_mem.ctone - 1]
mem.duplex = DUPLEX[_flg.duplex]
mem.tmode = TMODES[_flg.tmode]
mem.skip = _flg.skip and "S" or ""
if _name.name.get_raw() != "\xFF\xFF\xFF\xFF":
mem.name = str(_name.name).rstrip()
return mem
|
|
15,677
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"_fields": {"kind": null, "value": "mFunctionsCombo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "findChild", "value": {"_type": "Name", "_fields": {"id": "dialog", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mFunctionsCombo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mFunctionsCombo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNotNone", "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": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "itemText", "value": {"_type": "Name", "_fields": {"id": "mFunctionsCombo", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "abs(param: int): int"}}], "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": "Name", "_fields": {"id": "QComboBox", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "mSpatialPredicatesCombo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "findChild", "value": {"_type": "Name", "_fields": {"id": "dialog", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mSpatialPredicatesCombo", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mSpatialPredicatesCombo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNotNone", "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": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "itemText", "value": {"_type": "Name", "_fields": {"id": "mSpatialPredicatesCombo", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ST_Disjoint(geometry, geometry): boolean"}}], "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": "Name", "_fields": {"id": "QTextEdit", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "mWhereEditor"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "findChild", "value": {"_type": "Name", "_fields": {"id": "dialog", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mWhereEditor", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mWhereEditor", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNotNone", "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 = 1"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setText", "value": {"_type": "Name", "_fields": {"id": "mWhereEditor", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "accept", "value": {"_type": "Name", "_fields": {"id": "dialog", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dialog", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait_object_destruction", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "dialog", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "main_dialog", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_button_add", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "buttonAdd", "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": "isEnabled", "value": {"_type": "Name", "_fields": {"id": "buttonAdd", "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": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "addWfsLayer_uri", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "addWfsLayer_layer_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "slotAddWfsLayer", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "connect", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "addWfsLayer", "value": {"_type": "Name", "_fields": {"id": "main_dialog", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buttonAdd", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LeftButton", "value": {"_type": "Name", "_fields": {"id": "Qt", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mouseClick", "value": {"_type": "Name", "_fields": {"id": "QTest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "addWfsLayer_uri", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " restrictToRequestBBOX='1' srsname='EPSG:4326' typename='my:typename' url='"}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "http://"}}}}, "right": {"_type": "Name", "_fields": {"id": "expected_endpoint", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "' version='auto' table=\"\" sql=SELECT * FROM typename WHERE 1 = 1"}}}}], "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "addWfsLayer_layer_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "my:typename"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test(self):
# This test is quite fragile as it depends on windows manager behaviour
# regarding focus, so not surprising it doesn't pass
# on other platforms than Linux.
#if 'TRAVIS_OS_NAME' in os.environ and os.environ['TRAVIS_OS_NAME'] == 'osx':
# return
main_dialog = QgsProviderRegistry.instance().selectWidget("WFS")
main_dialog.setProperty("hideDialogs", True)
self.assertIsNotNone(main_dialog)
# Create new connection
btnNew = main_dialog.findChild(QWidget, "btnNew")
self.assertIsNotNone(btnNew)
QTest.mouseClick(btnNew, Qt.LeftButton)
new_conn = find_window('QgsNewHttpConnectionBase')
self.assertIsNotNone(new_conn)
txtName = new_conn.findChild(QLineEdit, "txtName")
self.assertIsNotNone(txtName)
txtName.setText("test_connection")
txtUrl = new_conn.findChild(QLineEdit, "txtUrl")
self.assertIsNotNone(txtUrl)
txtUrl.setText("test_url")
new_conn.accept()
# Wait for object to be destroyed
new_conn = self.wait_object_destruction(new_conn)
# Try to connect
btnConnect = main_dialog.findChild(QWidget, "btnConnect")
self.assertIsNotNone(btnConnect)
QTest.mouseClick(btnConnect, Qt.LeftButton)
# Depends on asynchronous signal
QApplication.processEvents()
error_box = find_window('WFSCapabilitiesErrorBox')
self.assertIsNotNone(error_box)
# Close error box
error_box.accept()
# Wait for object to be destroyed
error_box = self.wait_object_destruction(error_box)
# Edit connection
btnEdit = main_dialog.findChild(QWidget, "btnEdit")
self.assertIsNotNone(btnEdit)
QTest.mouseClick(btnEdit, Qt.LeftButton)
new_conn = find_window('QgsNewHttpConnectionBase',)
self.assertIsNotNone(new_conn)
txtName = new_conn.findChild(QLineEdit, "txtName")
self.assertIsNotNone(txtName)
txtName.setText("test_connection")
txtUrl = new_conn.findChild(QLineEdit, "txtUrl")
self.assertIsNotNone(txtUrl)
endpoint = self.basetestpath + '/fake_qgis_http_endpoint'
expected_endpoint = endpoint
if sys.platform == 'win32' and expected_endpoint[1] == ':':
expected_endpoint = expected_endpoint[0] + expected_endpoint[2:]
with open(sanitize(endpoint, '?SERVICE=WFS?REQUEST=GetCapabilities?ACCEPTVERSIONS=2.0.0,1.1.0,1.0.0'), 'wb') as f:
f.write("""
<wfs:WFS_Capabilities version="2.0.0" xmlns="http://www.opengis.net/wfs/2.0" xmlns:wfs="http://www.opengis.net/wfs/2.0" xmlns:ows="http://www.opengis.net/ows/1.1" xmlns:gml="http://schemas.opengis.net/gml/3.2" xmlns:fes="http://www.opengis.net/fes/2.0">
<FeatureTypeList>
<FeatureType>
<Name>my:typename</Name>
<Title>Title</Title>
<Abstract>Abstract</Abstract>
<DefaultCRS>urn:ogc:def:crs:EPSG::4326</DefaultCRS>
<ows:WGS84BoundingBox>
<ows:LowerCorner>-71.123 66.33</ows:LowerCorner>
<ows:UpperCorner>-65.32 78.3</ows:UpperCorner>
</ows:WGS84BoundingBox>
</FeatureType>
</FeatureTypeList>
<fes:Filter_Capabilities>
<fes:Spatial_Capabilities>
<fes:GeometryOperands>
<fes:GeometryOperand name="gml:Envelope"/>
<fes:GeometryOperand name="gml:Point"/>
<fes:GeometryOperand name="gml:MultiPoint"/>
<fes:GeometryOperand name="gml:LineString"/>
<fes:GeometryOperand name="gml:MultiLineString"/>
<fes:GeometryOperand name="gml:Polygon"/>
<fes:GeometryOperand name="gml:MultiPolygon"/>
<fes:GeometryOperand name="gml:MultiGeometry"/>
</fes:GeometryOperands>
<fes:SpatialOperators>
<fes:SpatialOperator name="Disjoint"/>
<fes:SpatialOperator name="Equals"/>
<fes:SpatialOperator name="DWithin"/>
<fes:SpatialOperator name="Beyond"/>
<fes:SpatialOperator name="Intersects"/>
<fes:SpatialOperator name="Touches"/>
<fes:SpatialOperator name="Crosses"/>
<fes:SpatialOperator name="Within"/>
<fes:SpatialOperator name="Contains"/>
<fes:SpatialOperator name="Overlaps"/>
<fes:SpatialOperator name="BBOX"/>
</fes:SpatialOperators>
</fes:Spatial_Capabilities>
<fes:Functions>
<fes:Function name="abs">
<fes:Returns>xs:int</fes:Returns>
<fes:Arguments>
<fes:Argument name="param">
<fes:Type>xs:int</fes:Type>
</fes:Argument>
</fes:Arguments>
</fes:Function>
</fes:Functions>
</fes:Filter_Capabilities>
</wfs:WFS_Capabilities>""".encode('UTF-8'))
txtUrl.setText("http://" + endpoint)
new_conn.accept()
# Wait for object to be destroyed
new_conn = self.wait_object_destruction(new_conn)
# Try to connect
btnConnect = main_dialog.findChild(QWidget, "btnConnect")
self.assertIsNotNone(btnConnect)
QTest.mouseClick(btnConnect, Qt.LeftButton)
buttonAdd = self.get_button_add(main_dialog)
for i in range(10):
QApplication.processEvents()
if buttonAdd.isEnabled():
break
self.assertTrue(buttonAdd.isEnabled())
# Add layer
self.addWfsLayer_uri = None
self.addWfsLayer_layer_name = None
main_dialog.addWfsLayer.connect(self.slotAddWfsLayer)
QTest.mouseClick(buttonAdd, Qt.LeftButton)
self.assertEqual(self.addWfsLayer_uri, ' restrictToRequestBBOX=\'1\' srsname=\'EPSG:4326\' typename=\'my:typename\' url=\'' + "http://" + expected_endpoint + '\' version=\'auto\' table="" sql=')
self.assertEqual(self.addWfsLayer_layer_name, 'my:typename')
# Click on Build Query
buttonBuildQuery = self.get_button_build_query(main_dialog)
self.assertTrue(buttonBuildQuery.isEnabled())
QTest.mouseClick(buttonBuildQuery, Qt.LeftButton)
error_box = find_window('WFSFeatureTypeErrorBox')
self.assertIsNotNone(error_box)
# Close error box
error_box.accept()
# Wait for object to be destroyed
error_box = self.wait_object_destruction(error_box)
# Click again but with valid DescribeFeatureType
with open(sanitize(endpoint, '?SERVICE=WFS&REQUEST=DescribeFeatureType&VERSION=2.0.0&TYPENAME=my:typename'), 'wb') as f:
f.write("""
<xsd:schema xmlns:my="http://my" xmlns:gml="http://www.opengis.net/gml/3.2" xmlns:xsd="http://www.w3.org/2001/XMLSchema" elementFormDefault="qualified" targetNamespace="http://my">
<xsd:import namespace="http://www.opengis.net/gml/3.2"/>
<xsd:complexType name="typenameType">
<xsd:complexContent>
<xsd:extension base="gml:AbstractFeatureType">
<xsd:sequence>
<xsd:element maxOccurs="1" minOccurs="0" name="intfield" nillable="true" type="xsd:int"/>
<xsd:element maxOccurs="1" minOccurs="0" name="geometryProperty" nillable="true" type="gml:PolygonPropertyType"/>
</xsd:sequence>
</xsd:extension>
</xsd:complexContent>
</xsd:complexType>
<xsd:element name="typename" substitutionGroup="gml:_Feature" type="my:typenameType"/>
</xsd:schema>
""".encode('UTF-8'))
QTest.mouseClick(buttonBuildQuery, Qt.LeftButton)
# Check that the combos are properly initialized
dialog = find_window('QgsSQLComposerDialogBase')
self.assertIsNotNone(dialog)
mTablesCombo = dialog.findChild(QComboBox, "mTablesCombo")
self.assertIsNotNone(mTablesCombo)
self.assertEqual(mTablesCombo.itemText(1), 'typename (Title)')
mColumnsCombo = dialog.findChild(QComboBox, "mColumnsCombo")
self.assertIsNotNone(mColumnsCombo)
self.assertEqual(mColumnsCombo.itemText(1), 'intfield (int)')
self.assertEqual(mColumnsCombo.itemText(mColumnsCombo.count() - 2), 'geometryProperty (geometry)')
self.assertEqual(mColumnsCombo.itemText(mColumnsCombo.count() - 1), '*')
mFunctionsCombo = dialog.findChild(QComboBox, "mFunctionsCombo")
self.assertIsNotNone(mFunctionsCombo)
self.assertEqual(mFunctionsCombo.itemText(1), 'abs(param: int): int')
mSpatialPredicatesCombo = dialog.findChild(QComboBox, "mSpatialPredicatesCombo")
self.assertIsNotNone(mSpatialPredicatesCombo)
self.assertEqual(mSpatialPredicatesCombo.itemText(1), 'ST_Disjoint(geometry, geometry): boolean')
mWhereEditor = dialog.findChild(QTextEdit, "mWhereEditor")
self.assertIsNotNone(mWhereEditor)
mWhereEditor.setText('1 = 1')
dialog.accept()
# Wait for object to be destroyed
dialog = self.wait_object_destruction(dialog)
# Add layer
buttonAdd = self.get_button_add(main_dialog)
self.assertTrue(buttonAdd.isEnabled())
self.addWfsLayer_uri = None
self.addWfsLayer_layer_name = None
main_dialog.addWfsLayer.connect(self.slotAddWfsLayer)
QTest.mouseClick(buttonAdd, Qt.LeftButton)
self.assertEqual(self.addWfsLayer_uri, ' restrictToRequestBBOX=\'1\' srsname=\'EPSG:4326\' typename=\'my:typename\' url=\'' + "http://" + expected_endpoint + '\' version=\'auto\' table="" sql=SELECT * FROM typename WHERE 1 = 1')
self.assertEqual(self.addWfsLayer_layer_name, 'my:typename')
|
|
15,678
|
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0.0074516599997878075,
0.0865747407078743,
0.021722719073295593,
-0.019227541983127594,
-0.004092767834663391,
-0.02628403715789318,
-0.01903560385107994,
-0.009387962520122528,
0.020627550780773163,
-0.029919544234871864,
-0.01523074135184288,
-0.008315375074744225,
0.0459744855761528,
-0.011764590628445148,
-0.022716272622346878,
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0.044416408985853195,
0.01289363019168377,
0.02921953983604908,
-0.0350228026509285,
-0.013966217637062073,
-0.0037963949143886566,
0.007519402541220188,
0.009641996584832668,
0.018064631149172783,
-0.012735564261674881,
-0.010008933953940868,
0.014192025177180767,
-0.0025756212417036295,
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0.02781953103840351,
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-0.024996932595968246,
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0.02497435174882412,
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0.028429212048649788,
0.013424278236925602,
-0.044777702540159225,
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-0.030122771859169006,
0.020819487050175667,
0.03813895210623741,
-0.01824527606368065,
0.02876792475581169,
0.015682358294725418,
0.06552945077419281,
0.037890560925006866,
0.008484731428325176,
0.03369053453207016,
0.026464683935046196,
-0.030009867623448372,
-0.0032431657891720533,
0.04525189846754074,
0.01912592723965645,
-0.003782282117754221,
-0.015625905245542526,
0.053651951253414154,
0.007231497671455145,
-0.04209059104323387,
-0.042655110359191895,
-0.006717784330248833,
-0.029896963387727737,
-0.013525892049074173,
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] | 11
|
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "__slots__", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cpu", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rawInsn", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cpu", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TYPE_SPPZ", "value": {"_type": "Name", "_fields": {"id": "AwlInsn", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "rawInsn", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Name", "_fields": {"id": "AwlInsn", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertOpCount", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Jump instruction expects label operand"}}], "func": {"_type": "Name", "_fields": {"id": "AwlSimError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "type", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ops", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LBL_REF", "value": {"_type": "Name", "_fields": {"id": "AwlOperator", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "statusWord", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cpu", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "labelIndex", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ops", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "jumpToLabel", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cpu", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "A0", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}], "name": "run", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "AwlInsn_SPPZ", "bases": [{"_type": "Name", "_fields": {"id": "AwlInsn", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class AwlInsn_SPPZ(AwlInsn): #+cdef
__slots__ = ()
def __init__(self, cpu, rawInsn):
AwlInsn.__init__(self, cpu, AwlInsn.TYPE_SPPZ, rawInsn)
self.assertOpCount(1)
if self.ops[0].type != AwlOperator.LBL_REF:
raise AwlSimError("Jump instruction expects label operand")
def run(self):
#@cy cdef S7StatusWord s
s = self.cpu.statusWord
if s.A0 == 0:
self.cpu.jumpToLabel(self.ops[0].labelIndex)
|
|
15,679
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|
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Action.deleted'
db.add_column(u'Action', 'deleted',
self.gf('django.db.models.fields.BooleanField')(default=False),
keep_default=False)
def backwards(self, orm):
# Deleting field 'Action.deleted'
db.delete_column(u'Action', 'deleted')
models = {
u'discount.action': {
'Meta': {'ordering': "[u'-created_at']", 'object_name': 'Action', 'db_table': "u'Action'"},
'auto_del': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'auto_del_action_price': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'auto_end': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'auto_start': ('django.db.models.fields.BooleanField', [], {'default': 'True'}),
'created_at': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}),
'datetime_end': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(2014, 8, 24, 0, 0)'}),
'datetime_start': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime(2014, 8, 17, 0, 0)'}),
'deleted': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'name': ('django.db.models.fields.CharField', [], {'default': "u'\\u0410\\u043a\\u0446\\u0438\\u044f \\u043e\\u0442 2014-08-17 15:03:28.195409'", 'max_length': '256'}),
'updated_at': ('django.db.models.fields.DateTimeField', [], {'auto_now': 'True', 'blank': 'True'})
}
}
complete_apps = ['discount']
|
|
15,680
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "SchedulerJob", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "subdir", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "subdir", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "process_subdir", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "num_runs", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_runs", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "do_pickle", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "do_pickle", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "job", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "scheduler"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ENABLE_HEALTH_CHECK"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getboolean", "value": {"_type": "Name", "_fields": {"id": "conf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "enable_health_check", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "run", "value": {"_type": "Name", "_fields": {"id": "job", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "skip_serve_logs", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "_serve_logs", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": null}}, {"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "enable_health_check", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "_serve_health_check", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "_run_scheduler_job", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _run_scheduler_job(args):
job = SchedulerJob(
subdir=process_subdir(args.subdir),
num_runs=args.num_runs,
do_pickle=args.do_pickle,
)
enable_health_check = conf.getboolean("scheduler", "ENABLE_HEALTH_CHECK")
with _serve_logs(args.skip_serve_logs), _serve_health_check(enable_health_check):
job.run()
|
|
15,681
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ArgumentParser", "value": {"_type": "Name", "_fields": {"id": "argparse", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "description", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Flatten and roll up Jstacks suitable for making flamegraphs"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "file"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "File to process"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--include_threadname"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dest", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "include_threadname"}}}}, {"_type": "keyword", "_fields": {"arg": "action", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "store_true"}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Whether or nor to include threadnames in flat stacks"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--thread_states"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Name", "_fields": {"id": "tuple", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Thread states to be included in flat stacks"}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "--print_type"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_argument", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "help", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Type of stacks to print"}}}}, {"_type": "keyword", "_fields": {"arg": "choices", "value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "rolled"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "flat"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "full"}}]}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "set_defaults", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "include_thread_name", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "thread_states", "value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "RUNNABLE"}}]}}}}, {"_type": "keyword", "_fields": {"arg": "print_type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "rolled"}}}}]}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse_args", "value": {"_type": "Name", "_fields": {"id": "parser", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "parse_arguments", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def parse_arguments():
parser = argparse.ArgumentParser(description='Flatten and roll up Jstacks suitable for making flamegraphs')
parser.add_argument('file', help='File to process')
parser.add_argument(
'--include_threadname', dest='include_threadname', action='store_true',
help='Whether or nor to include threadnames in flat stacks'
)
parser.add_argument(
'--thread_states', type=tuple, help='Thread states to be included in flat stacks'
)
parser.add_argument('--print_type', help='Type of stacks to print', choices=('rolled', 'flat', 'full') )
parser.set_defaults(include_thread_name=False, thread_states=('RUNNABLE',), print_type='rolled')
return parser.parse_args()
|
|
15,682
|
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{"_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": "filename", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "include_threadname", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "thread_states", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "RUNNABLE"}}]}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "include_threadname", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_include_threadname", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "thread_states", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_thread_states", "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": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_stacks", "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": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_flat_stacks", "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": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_rolled_stacks", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "read", "value": {"_type": "Name", "_fields": {"id": "stack_file", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "original_file", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "stack_file", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self, filename, include_threadname=False, thread_states=('RUNNABLE',)):
self._include_threadname = include_threadname
self._thread_states = thread_states
self._stacks = []
self._flat_stacks = []
self._rolled_stacks = []
with open(filename) as stack_file:
self.original_file = stack_file.read()
|
|
15,683
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{"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "escape", "value": {"_type": "Name", "_fields": {"id": "cgi", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "out", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "warning"}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "log", "value": {"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "msg", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "out", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "dest", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "pisaDocument", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "raise_exception", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}], "name": "pisaErrorDocument", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def pisaErrorDocument(dest, c):
out = pisaTempFile(capacity=c.capacity)
out.write("<p style='background-color:red;'><strong>%d error(s) occured:</strong><p>" % c.err)
for mode, line, msg, _ in c.log:
if mode=="error":
out.write("<pre>%s in line %d: %s</pre>" % (mode, line, cgi.escape(msg)))
out.write("<p><strong>%d warning(s) occured:</strong><p>" % c.warn)
for mode, line, msg, _ in c.log:
if mode=="warning":
out.write("<p>%s in line %d: %s</p>" % (mode, line, cgi.escape(msg)))
return pisaDocument(out.getvalue(), dest, raise_exception=False)
|
|
15,684
|
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"_fields": {}}}}}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "link", "value": {"_type": "Name", "_fields": {"id": "frag", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "anchor", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "anchorName", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "anchorFrag", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "frag", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "anchor", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "pisaStory", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def pisaStory(src, path=None, link_callback=None, debug=0, default_css=None,
xhtml=False, encoding=None, context=None, xml_output=None,
**kw):
# Prepare Context
if not context:
context = pisaContext(path, debug=debug)
context.pathCallback = link_callback
# Use a default set of CSS definitions to get an expected output
if default_css is None:
default_css = DEFAULT_CSS
# Parse and fill the story
pisaParser(src, context, default_css, xhtml, encoding, xml_output)
# Avoid empty documents
if not context.story:
context.story = [Spacer(1,1)]
if context.indexing_story:
context.story.append(context.indexing_story)
# Remove anchors if they do not exist (because of a bug in Reportlab)
for frag, anchor in context.anchorFrag:
if anchor not in context.anchorName:
frag.link = None
return context
|
|
15,685
|
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"_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "V"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "ver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "V"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "has_key", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "C"}}, "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "way", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "C"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "has_key", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": []}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self, address=None, Body=None):
self.address = address
if not Body:
self.rawBody = '{}'
else:
self.rawBody = Body
self.cmdid = None
self.timestamp = int(time.time())
self.params = dict()
self.way = None
self.ver = None
try:
data = json.loads(self.rawBody)#create a dict
except:
baseLogger.info(msg=("[Request]:RawData format is error data :",rawBody))
self.cmdid = constant.INVALID_CMDID
if data.has_key('F'):
self.cmdid = int(data['F'])
if data.has_key('T'):
self.timestamp = int(data['T'])
if data.has_key('P'):
self.params = data['P']
if data.has_key('V'):
self.ver = data['V']
if data.has_key('C'):
self.way = int(data['C'])
|
|
15,686
|
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"meta", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "subject", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "subject"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "meta", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "keywords", "value": {"_type": "ListComp", "_fields": {"elt": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ","}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "keywords"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "meta", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, "keywords": []}}, "target": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}}}, {"_type": "keyword", "_fields": {"arg": "title", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "meta", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "keyword", "_fields": {"arg": "showBoundary", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "allowSplitting", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "doc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "body"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "templateList", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Delete", "_fields": {"targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Del", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "body"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "templateList", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "body"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "templateList", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1cm 1cm -1cm -1cm"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pageSize", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "getBox", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": 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"Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "w", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "h", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Frame", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "id", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "body"}}}}, {"_type": "keyword", "_fields": {"arg": "leftPadding", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "rightPadding", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "bottomPadding", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}, {"_type": "keyword", "_fields": {"arg": "topPadding", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}]}}]}}}}, {"_type": "keyword", "_fields": {"arg": "pagesize", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pageSize", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "values", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "templateList", "value": {"_type": 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"_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "story", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build", "value": {"_type": "Name", "_fields": {"id": "doc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "out", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "istream", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PdfFileWriter", "value": {"_type": "Name", "_fields": {"id": "pyPdf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "istream", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PdfFileReader", "value": {"_type": "Name", "_fields": {"id": "pyPdf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "input1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "targets": [{"_type": "Name", "_fields": {"id": "ctr", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ctr", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getPage", "value": {"_type": "Name", "_fields": {"id": "input1", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "page", "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": "getFile", "value": {"_type": "Name", "_fields": {"id": "bg", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "PdfFileReader", "value": {"_type": "Name", "_fields": {"id": "pyPdf", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "bginput", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getPage", "value": {"_type": "Name", "_fields": {"id": "bginput", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pagebg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mergePage", "value": {"_type": "Name", "_fields": {"id": "pagebg", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pagebg", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Name", "_fields": {"id": "bg", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "notFound", "value": {"_type": "Name", "_fields": {"id": "bg", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mimetype", "value": {"_type": "Name", "_fields": {"id": "bg", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "application/pdf"}}]}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Background PDF %s doesn't exist."}}, {"_type": "Name", "_fields": {"id": "bg", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warning", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "addPage", "value": {"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Name", "_fields": {"id": "ctr", "ctx": {"_type": "Store", "_fields": {}}}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pisaBackgroundList", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "bg", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "pisaTempFile", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "capacity", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "capacity", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "out", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "out", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "output", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Break", "_fields": {}}], "test": {"_type": "Name", "_fields": {"id": "bgouter", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pisaBackgroundList", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "bgouter", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "pyPdf", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "pyPDF not installed!"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warning", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "pisaTempFile", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "capacity", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "capacity", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "dest", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "dest", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "dest", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "dest", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getvalue", "value": {"_type": "Name", "_fields": {"id": "out", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dest", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "pisaDocument", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def pisaDocument(src, dest=None, path=None, link_callback=None, debug=0,
default_css=None, xhtml=False, encoding=None, xml_output=None,
raise_exception=True, capacity=100*1024, **kw):
log.debug("pisaDocument options:\n src = %r\n dest = %r\n path = %r\n link_callback = %r\n xhtml = %r",
src,
dest,
path,
link_callback,
xhtml)
# Prepare simple context
context = pisaContext(path, debug=debug, capacity=capacity)
context.pathCallback = link_callback
# Build story
context = pisaStory(src, path, link_callback, debug, default_css, xhtml,
encoding, context=context, xml_output=xml_output)
# Buffer PDF into memory
out = pisaTempFile(capacity=context.capacity)
doc = PmlBaseDoc(
out,
pagesize=context.pageSize,
author=context.meta["author"].strip(),
subject=context.meta["subject"].strip(),
keywords=[x.strip() for x in
context.meta["keywords"].strip().split(",") if x],
title=context.meta["title"].strip(),
showBoundary=0,
allowSplitting=1)
# Prepare templates and their frames
if "body" in context.templateList:
body = context.templateList["body"]
del context.templateList["body"]
else:
x, y, w, h = getBox("1cm 1cm -1cm -1cm", context.pageSize)
body = PmlPageTemplate(
id="body",
frames=[
Frame(x, y, w, h,
id="body",
leftPadding=0,
rightPadding=0,
bottomPadding=0,
topPadding=0)],
pagesize = context.pageSize)
doc.addPageTemplates([body] + context.templateList.values())
# Use multibuild e.g. if a TOC has to be created
if context.multiBuild:
doc.multiBuild(context.story)
else:
doc.build(context.story)
# Add watermarks
if pyPdf:
for bgouter in context.pisaBackgroundList:
# If we have at least one background, then lets do it
if bgouter:
istream = out
output = pyPdf.PdfFileWriter()
input1 = pyPdf.PdfFileReader(istream)
ctr = 0
# TODO: Why do we loop over the same list again?
# see bgouter at line 137
for bg in context.pisaBackgroundList:
page = input1.getPage(ctr)
if (bg and not bg.notFound()
and (bg.mimetype=="application/pdf")):
bginput = pyPdf.PdfFileReader(bg.getFile())
pagebg = bginput.getPage(0)
pagebg.mergePage(page)
page = pagebg
else:
log.warn(context.warning(
"Background PDF %s doesn't exist.", bg))
output.addPage(page)
ctr += 1
out = pisaTempFile(capacity=context.capacity)
output.write(out)
# data = sout.getvalue()
# Found a background? So leave loop after first occurence
break
else:
log.warn(context.warning("pyPDF not installed!"))
# Get the resulting PDF and write it to the file object
# passed from the caller
if dest is None:
# No output file was passed - Let's use a pisaTempFile
dest = pisaTempFile(capacity=context.capacity)
context.dest = dest
data = out.getvalue() # TODO: That load all the tempfile in RAM - Why bother with a swapping tempfile then?
context.dest.write(data) # TODO: context.dest is a tempfile as well...
return context
|
|
15,687
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "node_in_file", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "node_in_file", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "[deleted]"}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "bot"}}, "comparators": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lower", "value": {"_type": "Name", "_fields": {"id": "node_in_file", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "name": "is_valid_author", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def is_valid_author(node_in_file):
if node_in_file in ['[deleted]']:
return False
if 'bot' in node_in_file.lower():
return False
return True
|
|
15,688
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "arg", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "proto", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "fast", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "arg", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "proto", "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": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "optimize", "value": {"_type": "Name", "_fields": {"id": "pickletools", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "dumps", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "buf", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "buf", "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": []}}}}], "name": "loads", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "pickle", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "error", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": "OptimizedPickleTests", "bases": [{"_type": "Name", "_fields": {"id": "AbstractPickleTests", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "AbstractPickleModuleTests", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class OptimizedPickleTests(AbstractPickleTests, AbstractPickleModuleTests):
def dumps(self, arg, proto=0, fast=0):
return pickletools.optimize(pickle.dumps(arg, proto))
def loads(self, buf):
return pickle.loads(buf)
module = pickle
error = KeyError
|
|
15,689
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] | 8
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|
def __init__( self, rate, device ):
gr.hier_block2.__init__(self, "output",
gr.io_signature(1,1,gr.sizeof_float),
gr.io_signature(0,0,0))
self.vol = blocks.multiply_const_ff( 0.1 )
self.out = audio.sink( int(rate), device )
self.connect( self, self.vol, self.out )
|
|
15,690
|
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|
class output( gr.hier_block2 ):
def __init__( self, rate, device ):
gr.hier_block2.__init__(self, "output",
gr.io_signature(1,1,gr.sizeof_float),
gr.io_signature(0,0,0))
self.vol = blocks.multiply_const_ff( 0.1 )
self.out = audio.sink( int(rate), device )
self.connect( self, self.vol, self.out )
def set( self, val ):
self.vol.set_k( val )
|
|
15,691
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setUp", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ScheduleSendEmailTestMixin", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Name", "_fields": {"id": "SiteFactory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "site", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Name", "_fields": {"id": "SiteConfigurationFactory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "site", "value": {"_type": "Name", "_fields": {"id": "site", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Name", "_fields": {"id": "ScheduleConfigFactory", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "DynamicUpgradeDeadlineConfiguration", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "enabled", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "objects", "value": {"_type": "Name", "_fields": {"id": "CommerceConfiguration", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "checkout_on_ecommerce_service", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_courses_with_verified_modes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setUp(self):
super(ScheduleSendEmailTestMixin, self).setUp()
site = SiteFactory.create()
self.site_config = SiteConfigurationFactory.create(site=site)
ScheduleConfigFactory.create(site=self.site_config.site)
DynamicUpgradeDeadlineConfiguration.objects.create(enabled=True)
CommerceConfiguration.objects.create(checkout_on_ecommerce_service=True)
self._courses_with_verified_modes = set()
|
|
15,692
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|
def _get_dates(self, offset=None):
current_day = _get_datetime_beginning_of_day(datetime.datetime.now(pytz.UTC))
offset = offset or self.expected_offsets[0]
target_day = current_day + datetime.timedelta(days=offset)
if self.resolver.schedule_date_field == 'upgrade_deadline':
upgrade_deadline = target_day
else:
upgrade_deadline = current_day + datetime.timedelta(days=7)
return current_day, offset, target_day, upgrade_deadline
|
|
15,693
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] | 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": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 2017}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "datetime", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "tzinfo", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "UTC", "value": {"_type": "Name", "_fields": {"id": "pytz", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "test_day", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handle", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "command", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "date", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "2017-08-01"}}}}, {"_type": "keyword", "_fields": {"arg": "site_domain_name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "domain", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}]}}}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "test_day", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_any_call", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "enqueue", "value": {"_type": "Name", "_fields": {"id": "mock_send", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expected_offsets", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "command", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "async_send_task"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "mock_send", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "test_handle", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_handle(self):
with patch.object(self.command, 'async_send_task') as mock_send:
test_day = datetime.datetime(2017, 8, 1, tzinfo=pytz.UTC)
self.command().handle(date='2017-08-01', site_domain_name=self.site_config.site.domain)
for offset in self.expected_offsets:
mock_send.enqueue.assert_any_call(
self.site_config.site,
test_day,
offset,
None
)
|
|
15,694
|
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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "now", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "datetime", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "right": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "timedelta", "value": {"_type": "Name", "_fields": {"id": "datetime", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "days", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 30}}}}]}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "course_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_courses_with_verified_modes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "course_id", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_courses_with_verified_modes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "schedule", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_schedule_factory", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _schedule_factory(self, offset=None, **factory_kwargs):
_, _, target_day, upgrade_deadline = self._get_dates(offset=offset)
factory_kwargs.setdefault('start', target_day)
factory_kwargs.setdefault('upgrade_deadline', upgrade_deadline)
factory_kwargs.setdefault('enrollment__course__self_paced', True)
if hasattr(self, 'experience_type'):
factory_kwargs.setdefault('experience__experience_type', self.experience_type)
schedule = ScheduleFactory(**factory_kwargs)
course_id = schedule.enrollment.course_id
if course_id not in self._courses_with_verified_modes:
CourseModeFactory(
course_id=course_id,
mode_slug=CourseMode.VERIFIED,
expiration_datetime=datetime.datetime.now(pytz.UTC) + datetime.timedelta(days=30),
)
self._courses_with_verified_modes.add(course_id)
return schedule
|
|
15,695
|
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"attr": "assert_any_call", "value": {"_type": "Name", "_fields": {"id": "mock_apply_async", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "retry", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "target_day", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "serialize", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "num_bins", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "task", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_any_call", "value": {"_type": "Name", "_fields": {"id": "mock_apply_async", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "retry", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "called", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "send", "value": {"_type": "Name", "_fields": {"id": "mock_ace", "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": "test_resolver_send", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_resolver_send(self, mock_ace):
current_day, offset, target_day, _ = self._get_dates()
with patch.object(self.task, 'apply_async') as mock_apply_async:
self.task.enqueue(self.site_config.site, current_day, offset)
mock_apply_async.assert_any_call(
(self.site_config.site.id, serialize(target_day), offset, 0, None),
retry=False,
)
mock_apply_async.assert_any_call(
(self.site_config.site.id, serialize(target_day), offset, self.task.num_bins - 1, None),
retry=False,
)
self.assertFalse(mock_ace.send.called)
|
|
15,696
|
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"_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "site_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "target_day_str", "value": {"_type": "Name", "_fields": {"id": "target_day_str", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "day_offset", "value": {"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "bin_num", "value": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "items": [{"_type": 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{"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "b", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "call_count", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "apply_async", "value": {"_type": "Name", "_fields": {"id": "mock_schedule_send", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "schedule_count", "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "called", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "send", "value": {"_type": "Name", "_fields": {"id": "mock_ace", "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": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "task", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "async_send_task"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "mock_schedule_send", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "test_schedule_bin", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_schedule_bin(self, schedule_count, mock_metric, mock_ace):
with patch.object(self.task, 'async_send_task') as mock_schedule_send:
current_day, offset, target_day, upgrade_deadline = self._get_dates()
schedules = [
self._schedule_factory() for _ in range(schedule_count)
]
bins_in_use = frozenset((self._calculate_bin_for_user(s.enrollment.user)) for s in schedules)
is_first_match = True
target_day_str = serialize(target_day)
for b in range(self.task.num_bins):
LOG.debug('Checking bin %d', b)
expected_queries = NUM_QUERIES_SITE_SCHEDULES
if b in bins_in_use:
if is_first_match:
expected_queries = (
# Since this is the first match, we need to cache all of the config models, so we run a
# query for each of those...
NUM_QUERIES_FIRST_MATCH
+ COURSE_MODES_QUERY # to cache the course modes for this course
)
is_first_match = False
with self.assertNumQueries(expected_queries, table_blacklist=WAFFLE_TABLES):
self.task().apply(kwargs=dict(
site_id=self.site_config.site.id, target_day_str=target_day_str, day_offset=offset, bin_num=b,
))
num_schedules = mock_metric.call_args[0][1]
if b in bins_in_use:
self.assertGreater(num_schedules, 0)
else:
self.assertEqual(num_schedules, 0)
self.assertEqual(mock_schedule_send.apply_async.call_count, schedule_count)
self.assertFalse(mock_ace.send.called)
|
|
15,697
|
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"_fields": {}}, "attr": "from_string", "value": {"_type": "Name", "_fields": {"id": "mock_message", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Mock", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "mock_msg", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Name", "_fields": {"id": "mock_msg", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "deliver_task", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "called", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "send", "value": {"_type": "Name", "_fields": {"id": "mock_ace", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "is_enabled", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "called", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "send", "value": {"_type": "Name", "_fields": {"id": "mock_ace", "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": "test_deliver_config", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_deliver_config(self, is_enabled, mock_message, mock_ace):
user = UserFactory.create()
schedule_config_kwargs = {
'site': self.site_config.site,
self.deliver_config: is_enabled,
}
self._update_schedule_config(schedule_config_kwargs)
mock_message.from_string.return_value.recipient.username = user.username
mock_msg = Mock()
self.deliver_task(self.site_config.site.id, mock_msg)
if is_enabled:
self.assertTrue(mock_ace.send.called)
else:
self.assertFalse(mock_ace.send.called)
|
|
15,698
|
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] | 14
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_dates", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "current_day", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "offset", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "target_day", "ctx": {"_type": "Store", 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|
def test_no_course_overview(self):
current_day, offset, target_day, upgrade_deadline = self._get_dates()
# Don't use CourseEnrollmentFactory since it creates a course overview
enrollment = CourseEnrollment.objects.create(
course_id=CourseKey.from_string('edX/toy/Not_2012_Fall'),
user=UserFactory.create(),
)
self._schedule_factory(enrollment=enrollment)
with patch.object(self.task, 'async_send_task') as mock_schedule_send:
for bin_num in range(self.task().num_bins):
self.task().apply(kwargs=dict(
site_id=self.site_config.site.id,
target_day_str=serialize(target_day),
day_offset=offset,
bin_num=bin_num,
))
# There is no database constraint that enforces that enrollment.course_id points
# to a valid CourseOverview object. However, in that case, schedules isn't going
# to attempt to address it, and will instead simply skip those users.
# This happens 'transparently' because django generates an inner-join between
# enrollment and course_overview, and thus will skip any rows where course_overview
# is null.
self.assertEqual(mock_schedule_send.apply_async.call_count, 0)
|
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "is_enabled", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "site"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "enqueue_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "site_config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Name", "_fields": {"id": "is_enabled", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "schedule_config_kwargs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "schedule_config_kwargs", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_update_schedule_config", "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": 2017}}, {"_type": "Constant", "_fields": {"kind": null, "value": 8}}, {"_type": "Constant", "_fields": {"kind": 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"value": {"_type": "Name", "_fields": {"id": "patch", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "mock_apply_async", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "called", "value": {"_type": "Name", "_fields": {"id": "mock_apply_async", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertTrue", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "is_enabled", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "called", "value": {"_type": "Name", "_fields": {"id": "mock_apply_async", "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": "test_enqueue_config", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_enqueue_config(self, is_enabled):
schedule_config_kwargs = {
'site': self.site_config.site,
self.enqueue_config: is_enabled,
}
self._update_schedule_config(schedule_config_kwargs)
current_datetime = datetime.datetime(2017, 8, 1, tzinfo=pytz.UTC)
with patch.object(self.task, 'apply_async') as mock_apply_async:
self.task.enqueue(self.site_config.site, current_datetime, 3)
if is_enabled:
self.assertTrue(mock_apply_async.called)
else:
self.assertFalse(mock_apply_async.called)
|
|
15,700
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|
def test_site_config(self, this_org_list, other_org_list, expected_message_count, mock_ace):
filtered_org = 'filtered_org'
unfiltered_org = 'unfiltered_org'
this_config = SiteConfigurationFactory.create(values={'course_org_filter': this_org_list})
other_config = SiteConfigurationFactory.create(values={'course_org_filter': other_org_list})
for config in (this_config, other_config):
ScheduleConfigFactory.create(site=config.site)
user1 = UserFactory.create(id=self.task.num_bins)
user2 = UserFactory.create(id=self.task.num_bins * 2)
current_day, offset, target_day, upgrade_deadline = self._get_dates()
self._schedule_factory(
enrollment__course__org=filtered_org,
enrollment__user=user1,
)
self._schedule_factory(
enrollment__course__org=unfiltered_org,
enrollment__user=user1,
)
self._schedule_factory(
enrollment__course__org=unfiltered_org,
enrollment__user=user2,
)
with patch.object(self.task, 'async_send_task') as mock_schedule_send:
self.task().apply(kwargs=dict(
site_id=this_config.site.id, target_day_str=serialize(target_day), day_offset=offset, bin_num=0
))
self.assertEqual(mock_schedule_send.apply_async.call_count, expected_message_count)
self.assertFalse(mock_ace.send.called)
|