Search is not available for this dataset
id int64 0 10.8M | vector listlengths 1.54k 1.54k | ast_depth int64 3 164 | ast_data stringlengths 297 510k | full_path stringlengths 0 319 | code stringlengths 60 56.5k |
|---|---|---|---|---|---|
20,101 | [
0.03919872269034386,
0.0301379282027483,
-0.04021266847848892,
-0.02038678713142872,
-0.01562987081706524,
0.026643050834536552,
0.020127907395362854,
-0.023450199514627457,
0.03231683373451233,
-0.036868803203105927,
0.029577022418379784,
-0.015252337791025639,
0.03889669477939606,
-0.036... | 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... | def save_json(self, path):
def json_encoder(obj):
self.app.processEvents()
dic = obj.__dict__.copy()
del dic['parentItem']
return dic
try:
json.dump((self.item_model.rootItem, self.bookmark_model.rootItem), open(path, 'w'), default=json_encode... | |
20,102 | [
0.030481068417429924,
0.014253152534365654,
-0.023836567997932434,
-0.03995993733406067,
-0.03684677928686142,
0.017133984714746475,
0.019352691248059273,
0.007678348571062088,
-0.034755852073431015,
-0.02361585944890976,
0.029923489317297935,
0.0035023028030991554,
0.03166592866182327,
-0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def save_file(self):
# self.item_model.selected_item = self.focused_column().filter_proxy.getItem(self.current_index())
pickle.dump((self.item_model.selected_item, self.item_model.rootItem, self.bookmark_model.rootItem),
open(self.save_path, 'wb'),
protocol=pickle... | |
20,103 | [
0.008324934169650078,
0.06358720362186432,
-0.009748703800141811,
-0.05073797330260277,
-0.010266438126564026,
0.010089937597513199,
0.018614906817674637,
0.001134750316850841,
-0.0063657802529633045,
0.0005552407819777727,
0.019650375470519066,
-0.006506980396807194,
0.03857121616601944,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "open_path", "annotation": null, "type_comment": null}}, {"_type":... | def import_backup(self, open_path, save_path):
self.item_model = model.TreeModel(self, header_list=self.tree_header)
self.bookmark_model = model.TreeModel(self, header_list=BOOKMARKS_HEADER)
if 'json' in open_path:
if 'json' in open_path:
def json_decoder(obj):
... | |
20,104 | [
0.029081718996167183,
0.011747129261493683,
0.0021892632357776165,
-0.01761508360505104,
-0.04016688093543053,
0.003099469467997551,
-0.010243676602840424,
0.01944391243159771,
-0.0920921117067337,
-0.022596675902605057,
-0.02562602050602436,
-0.013430099003016949,
-0.0025468943640589714,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def print(self):
dialog = QPrintPreviewDialog()
view = PrintTreeView(self, dialog.findChildren(QPrintPreviewWidget)[0])
if self.current_view() is self.planned_view:
view.setModel(self.planned_view.model())
else:
view.setModel(self.item_model)
view.mode... | |
20,105 | [
-0.028929399326443672,
-0.004201009403914213,
0.010471903719007969,
-0.033412110060453415,
-0.02821902371942997,
0.006993516813963652,
0.005869777407497168,
0.02227882109582424,
0.0012163636274635792,
0.00025375993573106825,
-0.0019642473198473454,
-0.01682853326201439,
0.014844382181763649,... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "time_unit", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value", "annotation": null, "type_comment": null}}, {"_type"... | def add_shortcuts(time_unit, value, max):
for i in range(1, max):
keys = i if i < 10 else ','.join(list(str(i)))
self.remindInMenu.addAction(
add_action('', QAction(self.tr('Remind in {} {}').format(i, time_unit), self,
... | |
20,106 | [
-0.012191702611744404,
0.045536916702985764,
-0.04137445241212845,
0.022370409220457077,
0.02859136089682579,
0.051678258925676346,
0.034664466977119446,
0.01247602328658104,
0.005385047756135464,
-0.0017485767602920532,
-0.005609661340713501,
0.004122660495340824,
0.039873234927654266,
-0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "icon_name", "annotation": null, "type_comment": null}}, {"_type":... | def act(name, icon_name=None, trig=None, trigbool=None, shct=None):
if not isinstance(shct, QKeySequence):
shct = QKeySequence(shct)
if icon_name:
action = QAction(QIcon.fromTheme(icon_name), name, self)
else:
action = QAction(name, sel... | |
20,107 | [
-0.010792163200676441,
0.0010311437072232366,
-0.026647595688700676,
-0.04626350477337837,
-0.05370480567216873,
-0.03761611878871918,
-0.0130052100867033,
-0.06185155361890793,
-0.029514886438846588,
0.016384517773985863,
-0.008448266424238682,
-0.035112928599119186,
0.03675138205289841,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "index", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "rows_string", "annotation": null, "type_comment": null}}], "kwar... | def tree_as_string(index, rows_string=''):
indention_string = (model.indention_level(index) - 1) * '\t'
if index.data() is not None and index in selected_source_indexes:
date = self.current_view().model().getItem(self.map_to_view(index)).date
if da... | |
20,108 | [
0.013452304527163506,
0.020630454644560814,
0.009260565973818302,
0.010756462812423706,
-0.03652569651603699,
-0.02823907695710659,
0.00843728519976139,
0.005886728409677744,
-0.022147873416543007,
0.02733508311212063,
-0.009766372852027416,
0.03755883499979973,
0.019758744165301323,
-0.03... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "current_index", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonly... | def add_parents(current_index):
item = self.focused_column().filter_proxy.getItem(current_index)
text = item.text.replace('\n', '')
button = QPushButton(text)
button.setStyleSheet('Text-align: left; padding-left: 2px; padding-right: 2px;'
... | |
20,109 | [
-0.00184103031642735,
-0.0031768998596817255,
0.04700721427798271,
-0.03533238545060158,
-0.020180771127343178,
-0.00002330354618607089,
-0.0328691266477108,
-0.006110039539635181,
-0.08842077106237411,
0.01792278327047825,
0.002120071556419134,
-0.0061806016601622105,
-0.04038720205426216,
... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "printer", "annotation": null, "type_comment": null}}], "kwarg": n... | def print(self, printer):
printer.setResolution(300)
old_fontsize = self.main_window.fontsize
self.main_window.fontsize = int(30 * self.main_window.print_size)
painter = QPainter()
painter.begin(printer)
painter.setFont(QFont(model.FONT, 9))
painter.setRenderHints... | |
20,110 | [
-0.008151961490511894,
-0.0071020061150193214,
0.028171110898256302,
-0.034287773072719574,
-0.04018906131386757,
-0.0015076282434165478,
-0.0003789262264035642,
-0.004046366550028324,
-0.08317800611257553,
0.019706854596734047,
-0.011781037785112858,
0.0058797504752874374,
-0.00421059038490... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotat... | class PrintTreeView(QTreeView):
def __init__(self, main_window, print_preview_widget):
super(PrintTreeView, self).__init__()
self.main_window = main_window
self.print_preview_widget = print_preview_widget
def change_print_size(self, change):
self.main_window.print_size += change... | |
20,111 | [
0.030745571479201317,
0.044018711894750595,
-0.0021378935780376196,
-0.013114875182509422,
-0.007422618567943573,
0.005755562800914049,
0.017345819622278214,
-0.0036295391619205475,
0.0007108726422302425,
0.05389443412423134,
-0.011310656554996967,
0.024815918877720833,
0.056764304637908936,... | 14 | {"_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": "main_window", "annotat... | class FileLineEdit(QPlainTextEdit):
def __init__(self, main_window, popup):
super(FileLineEdit, self).__init__(popup)
self.popup = popup
self.main_window = main_window
self.setMinimumWidth(400)
self.setPlaceholderText(self.tr('File to:'))
self._separator = ' '
... | |
20,112 | [
0.02364477328956127,
0.029895691201090813,
0.0023754530120640993,
-0.01457153633236885,
-0.014048883691430092,
-0.0014098535757511854,
0.020529767498373985,
0.0047117071226239204,
0.003423370188102126,
0.06372172385454178,
-0.012376397848129272,
0.0227667186409235,
0.04578430950641632,
0.0... | 13 | {"_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_window", "annotation": null, "type_comment": null}}, {"_type... | def __init__(self, main_window, popup):
super(FileLineEdit, self).__init__(popup)
self.popup = popup
self.main_window = main_window
self.setMinimumWidth(400)
self.setPlaceholderText(self.tr('File to:'))
self._separator = ' '
# moving an item to its own child is n... | |
20,113 | [
0.024167167022824287,
0.050533477216959,
0.02016660012304783,
-0.030904965475201607,
-0.03874233365058899,
-0.0218744445592165,
0.04002906382083893,
0.0104634715244174,
0.016715819016098976,
0.020306970924139023,
0.01029970496892929,
0.0191723071038723,
0.05502534285187721,
0.0040590548887... | 13 | {"_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": "completion", "annotation": null, "type_comment": null}}], "kwarg"... | def _insertCompletion(self, completion):
self.popup.hide()
for index in self.main_window.item_model.indexes():
if self.main_window.item_model.getItem(index).text == completion:
lowest_index = self.main_window.focused_column().filter_proxy.mapToSource(
self... | |
20,114 | [
0.03362572565674782,
-0.004878477193415165,
0.02453831024467945,
0.02323356829583645,
-0.030169304460287094,
-0.010088861919939518,
0.01936512254178524,
0.014970201067626476,
0.020383736118674278,
0.023668482899665833,
-0.03461000695824623,
0.040218107402324677,
-0.024652762338519096,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def textUnderCursor(self):
text = self.toPlainText()
textUnderCursor = ''
i = self.textCursor().position() - 1
while i >= 0 and text[i] != self._separator:
textUnderCursor = text[i] + textUnderCursor
i -= 1
return textUnderCursor | |
20,115 | [
0.04768342524766922,
0.0332176648080349,
0.0002466339501552284,
-0.0022667141165584326,
-0.02814846858382225,
0.00983444880694151,
0.013445736840367317,
-0.00030684354715049267,
-0.031218836084008217,
0.04516943171620369,
-0.015382746234536171,
0.014300906099379063,
0.03686501458287239,
0.... | 14 | {"_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": "main_window", "annotat... | class SelectRowLineEdit(QPlainTextEdit):
def __init__(self, main_window):
super(SelectRowLineEdit, self).__init__()
self.main_window = main_window
self.setMinimumWidth(400)
self.setMaximumHeight(36)
index = self.main_window.get_index_by_creation_date(self.main_window.new_row... | |
20,116 | [
0.033271655440330505,
0.03524314612150192,
-0.031056499108672142,
-0.0006382420542649925,
-0.008085322566330433,
0.009940516203641891,
0.0045355334877967834,
0.052676428109407425,
-0.01294759102165699,
0.019116804003715515,
-0.0051391636952757835,
0.032562803477048874,
0.04997393861413002,
... | 13 | {"_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": "event", "annotation": null, "type_comment": null}}], "kwarg": nul... | def keyPressEvent(self, event):
if event.key() == Qt.Key_Escape:
self.popup.hide()
if event.key() in self._keysToIgnore and self.completer.popup().isVisible():
event.ignore()
return
super(FileLineEdit, self).keyPressEvent(event)
completionPrefix = sel... | |
20,117 | [
0.03362572565674782,
-0.004878477193415165,
0.02453831024467945,
0.02323356829583645,
-0.030169304460287094,
-0.010088861919939518,
0.01936512254178524,
0.014970201067626476,
0.020383736118674278,
0.023668482899665833,
-0.03461000695824623,
0.040218107402324677,
-0.024652762338519096,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def textUnderCursor(self):
text = self.toPlainText()
textUnderCursor = ''
i = self.textCursor().position() - 1
while i >= 0 and text[i] != self._separator:
textUnderCursor = text[i] + textUnderCursor
i -= 1
return textUnderCursor | |
20,118 | [
0.029354751110076904,
0.016216812655329704,
0.022922854870557785,
-0.007839532569050789,
-0.03717846795916557,
-0.009099551476538181,
0.019453849643468857,
-0.01851542480289936,
-0.04006754979491234,
0.051455166190862656,
-0.01604810729622841,
0.006874747574329376,
0.02754116803407669,
0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotation": null, "type_comment": null}}], "kwarg... | def __init__(self, main_window):
super(SelectRowLineEdit, self).__init__()
self.main_window = main_window
self.setMinimumWidth(400)
self.setMaximumHeight(36)
index = self.main_window.get_index_by_creation_date(self.main_window.new_rows_plan_item_creation_date)
if index:
... | |
20,119 | [
0.00842332188040018,
0.04983007162809372,
0.012567495927214622,
0.028694283217191696,
-0.023775262758135796,
-0.008623282425105572,
0.008513304404914379,
0.020755864679813385,
-0.02565488964319229,
0.060907866805791855,
0.00019746065663639456,
-0.011337741278111935,
0.00538892624899745,
0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotat... | class FocusTreeAfterCloseDialog(QDialog):
def __init__(self, main_window):
super(FocusTreeAfterCloseDialog, self).__init__(main_window)
self.main_window = main_window
def accept(self):
super(FocusTreeAfterCloseDialog, self).accept()
self.main_window.focused_column().view.setFocu... | |
20,120 | [
0.03984977677464485,
0.025570273399353027,
-0.015486066229641438,
0.025393163785338402,
-0.026057327166199684,
0.008241155184805393,
0.001765566528774798,
0.05277881771326065,
-0.030640050768852234,
0.006254201289266348,
-0.01669262908399105,
0.0236220620572567,
0.01425736490637064,
0.0664... | 13 | {"_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": "event", "annotation": null, "type_comment": null}}], "kwarg": nul... | def keyPressEvent(self, event):
if event.key() == Qt.Key_Escape:
pass
if event.key() in self._keysToIgnore and self.completer.popup().isVisible():
event.ignore()
return
super(SelectRowLineEdit, self).keyPressEvent(event)
completionPrefix = self.textUn... | |
20,121 | [
0.0013176494976505637,
0.022508202120661736,
-0.017196789383888245,
-0.028516193851828575,
0.012592838145792484,
-0.01277786772698164,
0.01512882113456726,
0.01533561758697033,
-0.06473828852176666,
0.044711653143167496,
0.01853552646934986,
0.018198121339082718,
0.0276019349694252,
0.0188... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotation": null, "type_comment": null}}, {"_type... | def __init__(self, main_window, open_filter, title, hint):
super(ImportDialog, self).__init__(main_window)
self.setWindowTitle(title)
self.setMinimumWidth(1200)
self.import_file_edit = QLineEdit()
self.import_file_edit.setReadOnly(True)
self.select_import_file_button = QP... | |
20,122 | [
0.003913313150405884,
0.02648179791867733,
-0.011109806597232819,
-0.03645574301481247,
0.017924975603818893,
-0.009449285455048084,
0.009925265796482563,
0.032215192914009094,
-0.04569408297538757,
0.04430941492319107,
0.014246948063373566,
0.02617890201508999,
0.02507549338042736,
0.0096... | 13 | {"_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": "main_window", "annotat... | class ImportDialog(FocusTreeAfterCloseDialog):
def __init__(self, main_window, open_filter, title, hint):
super(ImportDialog, self).__init__(main_window)
self.setWindowTitle(title)
self.setMinimumWidth(1200)
self.import_file_edit = QLineEdit()
self.import_file_edit.setReadOnl... | |
20,123 | [
-0.018406568095088005,
0.003668952966108918,
0.012990227900445461,
0.007652548141777515,
0.0024623561184853315,
-0.013001465238630772,
0.016237786039710045,
-0.0020788859110325575,
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0.042386800050735474,
0.00929318182170391,
-0.005093270912766457,
0.017125526443123817,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotat... | class AboutBox(FocusTreeAfterCloseDialog):
def __init__(self, main_window):
super(AboutBox, self).__init__(main_window)
headline = QLabel('TreeNote')
headline.setFont(QFont(model.FONT, 25))
label = QLabel(
self.tr(
'Version ' + __version__ +
... | |
20,124 | [
0.028102170675992966,
0.02951190061867237,
0.017933622002601624,
-0.03605212643742561,
0.008498826064169407,
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0.023826757445931435,
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0.041275061666965485,
0.0023543655406683683,
0.015795916318893433,
0.024127192795276642,
-0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def accept(self):
if self.treenote_file_edit.text() == '':
QMessageBox.information(self, '', self.tr('You need to select where the tree shall be created.'),
QMessageBox.Ok)
return
try:
self.main_window.import_backup(self.import_file... | |
20,125 | [
0.033289797604084015,
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-0.020860234275460243,
-0.0061323316767811775,
-0.03495944291353226,
0.011316470801830292,
-0.02626080811023712,
0.026178356260061264,
-0.04128759726881981,
0.016026513651013374,
-0.007652531377971172,
0.014367176219820976,
0.012852129526436329,
... | 13 | {"_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": "main", "annotation": n... | class SearchBarQLineEdit(QLineEdit):
def __init__(self, main):
super(QLineEdit, self).__init__()
self.main = main
self.setClearButtonEnabled(True)
def keyPressEvent(self, event):
if event.key() == Qt.Key_Down or event.key() == Qt.Key_Up:
self.main.focused_column().vi... | |
20,126 | [
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0.0106098223477602,
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0.05844708904623985,
-0.009074189700186253,
0.00039699580520391464,
0.010220097377896309,
... | 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": "main_window", "annotation": null, "type_comment": null}}], "kwarg... | def __init__(self, main_window):
super(AboutBox, self).__init__(main_window)
headline = QLabel('TreeNote')
headline.setFont(QFont(model.FONT, 25))
label = QLabel(
self.tr(
'Version ' + __version__ +
'<br><br>'
'TreeNote is an ea... | |
20,127 | [
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0.01742987520992756,
0.010924437083303928,
0.03244328498840332,
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0.012004015035927296,
0.03246565908193588,
-0.021021010354161263,
0.04761331528425217,
-0.01... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotat... | class BookmarkDialog(FocusTreeAfterCloseDialog):
# init it with either search_bar_text or index set
# search_bar_text is set: create new bookmark
# index is set: edit existing bookmark
def __init__(self, main_window, search_bar_text=None, index=None):
super(BookmarkDialog, self).__init__(main_w... | |
20,128 | [
0.037290170788764954,
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0.0026801645290106535,
0.00633954256772995,
0.023180954158306122,
0.04006505757570267,
0.050... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "event", "annotation": null, "type_comment": null}}], "kwarg": nul... | def keyPressEvent(self, event):
if event.key() == Qt.Key_Down or event.key() == Qt.Key_Up:
self.main.focused_column().view.setFocus()
if self.main.selected_indexes(): # if the selection remains valid after the search
QApplication.sendEvent(self.main.focused_column().view... | |
20,129 | [
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0.01187480054795742,
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0.007315302733331919,
0.033637382090091705,
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0.011815663427114487,
0.03692542389035225,
-0.007563680410385132,
0.04681320860981941,
-0.025... | 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": []... | def accept(self):
if self.index is None:
new_item_position = len(self.main_window.bookmark_model.rootItem.childItems)
self.main_window.bookmark_model.insert_remove_rows(new_item_position, QModelIndex())
self.index = self.main_window.bookmark_model.index(new_item_position, 0, ... | |
20,130 | [
0.012460015714168549,
-0.0031308967154473066,
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0.011919657699763775,
-0.038715045899152756,
0.0049850656650960445,
0.014568470418453217,
0.014579065144062042,
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0.026043128222227097,
0.023902887478470802,
-0.018011927604675293,
0.04594101011753082,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotation": null, "type_comment": null}}, {"_type... | def __init__(self, main_window, search_bar_text=None, index=None):
super(BookmarkDialog, self).__init__(main_window)
self.setMinimumWidth(600)
self.search_bar_text = search_bar_text
self.index = index
rootIndex = self.main_window.focused_column().view.rootIndex()
self.roo... | |
20,131 | [
0.002955665113404393,
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0.02010834775865078,
-0.0014914782950654626,
0.04427766427397728,
-0.04528198763728142,
0.04087169095873833,
0.002453502267599106,
-0.028710614889860153,
0.04510732367634773,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotat... | class ShortcutDialog(FocusTreeAfterCloseDialog):
def __init__(self, main_window, index):
super(ShortcutDialog, self).__init__(main_window)
self.setMinimumWidth(340)
self.index = index
item = main_window.item_model.getItem(index)
self.shortcut_edit = QKeySequenceEdit()
... | |
20,132 | [
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-0.026005778461694717,
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0.02633945271372795,
0.0011743787908926606,
0.015328184701502323,
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0.04162592813372612,
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0.04118797928094864,
... | 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": "main_window", "annotation": null, "type_comment": null}}, {"_type... | def __init__(self, main_window, index):
super(ShortcutDialog, self).__init__(main_window)
self.setMinimumWidth(340)
self.index = index
item = main_window.item_model.getItem(index)
self.shortcut_edit = QKeySequenceEdit()
self.shortcut_edit.setKeySequence(QKeySequence(item.... | |
20,133 | [
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0.015973545610904694,
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0.013599514029920101,
0.027444617822766304,
-0.007649087347090244,
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0.03211081773042679,
-0.00818631425499916,
0.02308540605008602,
0.02945026569068432,
0.03... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotat... | class RenameTagDialog(FocusTreeAfterCloseDialog):
def __init__(self, main_window, tag):
super(RenameTagDialog, self).__init__(main_window)
self.tag = tag
self.line_edit = QLineEdit(tag)
buttonBox = QDialogButtonBox(QDialogButtonBox.Apply | QDialogButtonBox.Cancel)
grid = QGr... | |
20,134 | [
0.02213977836072445,
0.011218411847949028,
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0.027328170835971832,
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0.007312265690416098,
0.02653604932129383,
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0.03610090911388397,
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0.016258280724287033,
0.033605728298425674,
0.0... | 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": "main_window", "annotation": null, "type_comment": null}}, {"_type... | def __init__(self, main_window, tag):
super(RenameTagDialog, self).__init__(main_window)
self.tag = tag
self.line_edit = QLineEdit(tag)
buttonBox = QDialogButtonBox(QDialogButtonBox.Apply | QDialogButtonBox.Cancel)
grid = QGridLayout()
grid.addWidget(QLabel('Enter new ta... | |
20,135 | [
0.003782428801059723,
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0.00857388973236084,
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0.015095120295882225,
0.02571590431034565,
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0.04949446767568588,
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0.0018422043649479747,
0.025369949638843536,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotation": null, "type_comment": null}}], "kwarg... | def __init__(self, main_window):
super(SettingsDialog, self).__init__(main_window)
theme_dropdown = QComboBox()
theme_dropdown.addItems(['Light', 'Dark'])
current_palette_index = 0 if QApplication.palette() == self.main_window.light_palette else 1
theme_dropdown.setCurrentIndex(c... | |
20,136 | [
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0.0022800711449235678,
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0.014445998705923557,
0.038211993873119354,
0.0016143569955602288,
-0.025208378210663795,
0.047176945954561234,
-0.022878378629684448,
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0.02120299823582172... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotat... | class SettingsDialog(FocusTreeAfterCloseDialog):
def __init__(self, main_window):
super(SettingsDialog, self).__init__(main_window)
theme_dropdown = QComboBox()
theme_dropdown.addItems(['Light', 'Dark'])
current_palette_index = 0 if QApplication.palette() == self.main_window.light_pa... | |
20,137 | [
0.0022126692347228527,
0.015146954916417599,
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0.022799598053097725,
0.026515087112784386,
0.023327365517616272,
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0.030990563333034515,
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0.014534743502736092,
0.013848644681274891,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "pyqtSignal", "ctx": {"_t... | class DelayedExecutionTimer(QObject): # source: https://wiki.qt.io/Delay_action_to_wait_for_user_interaction
triggered = pyqtSignal(str)
def __init__(self, parent):
super(DelayedExecutionTimer, self).__init__(parent)
# The minimum delay is the time the class will wait after being triggered bef... | |
20,138 | [
0.03428146243095398,
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0.039420660585165024,
0.0061065745539963245,
-0.03990434855222702,
-0.0011764728697016835,
0.00042637696606107056,
-0.020697861909866333,
-0.05751869082450867,
0.015185821801424026,
0.007613064255565405,
0.01916617900133133,
0.006605378817766905,
0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "text", "annotation": n... | class CustomHeaderView(QHeaderView):
def __init__(self, text):
super(CustomHeaderView, self).__init__(Qt.Horizontal)
self.setSectionResizeMode(QHeaderView.Stretch)
self.text = text
def paintSection(self, painter, rect, logical_index):
opt = QStyleOptionHeader()
opt.rect ... | |
20,139 | [
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0.02379187010228634,
0.002372014569118619,
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0.04963299632072449,
-0.04369015246629715,
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0.05123141407966614,
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0.0375833660364151,
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0.0123... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "model", "annotation": ... | class SaveExpandTreeView(QTreeView):
def __init__(self, model):
super(SaveExpandTreeView, self).__init__()
self.setModel(model)
self.expanded.connect(self.expand)
self.collapsed.connect(self.collapse)
def expand(self, index):
self.model().getItem(index).quicklink_expande... | |
20,140 | [
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0.034219540655612946,
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0.051046840846538544,
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0.006708724889904261,
0.... | 13 | {"_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": "main_window", "annotat... | class ResizeTreeView(QTreeView):
def __init__(self, main_window, model):
super(ResizeTreeView, self).__init__()
self.main_window = main_window
self.setModel(model)
self.setVerticalScrollMode(QAbstractItemView.ScrollPerPixel)
self.setAnimated(True)
self.setVerticalScro... | |
20,141 | [
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0.023973381146788597,
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0.0551580935716629,
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0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "main_window", "annotation": null, "type_comment": null}}, {"_type... | def __init__(self, main_window, model):
super(ResizeTreeView, self).__init__()
self.main_window = main_window
self.setModel(model)
self.setVerticalScrollMode(QAbstractItemView.ScrollPerPixel)
self.setAnimated(True)
self.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOn)
... | |
20,142 | [
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0.025823581963777542,
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0.03853936865925789,
0.010210605338215828,
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0.0217564906924963,
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-... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def start():
app = QApplication(sys.argv)
app.setApplicationName('TreeNote')
app.setOrganizationName('Jan Korte')
app.setWindowIcon(QIcon(':/logo'))
QFontDatabase.addApplicationFont(os.path.join(RESOURCE_FOLDER, 'SourceSansPro-Regular.otf'))
locale = QLocale.system().name()
qt_translator = ... | |
20,143 | [
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-0.01797792874276638,
0.012769508175551891,
-0.06895238906145096,
-0.014641284942626953,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "orm", "annotation": nu... | class Migration(SchemaMigration):
def forwards(self, orm):
# Changing field 'Source.url'
db.alter_column('hansard_source', 'url', self.gf('django.db.models.fields.URLField')(max_length=1000))
def backwards(self, orm):
# Changing field 'Source.url'
... | |
20,144 | [
-0.0014632642269134521,
0.016230639070272446,
0.017534103244543076,
-0.000809182005468756,
-0.006793055217713118,
0.0082281194627285,
0.005414390936493874,
0.0006196156609803438,
-0.004204926546663046,
0.025718357414007187,
-0.008127853274345398,
-0.04735085368156433,
0.00361899402923882,
... | 13 | {"_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": "message", "annotation": null, "type_comment": null}}, {"_type": "... | def onMessage(self, message, metadata):
if 'details' in message.keys():
if 'program' in message['details'].keys():
if 'Observium' == message['details']['program']:
msg_unparsed = message['summary']
search = re.search(self.regex, msg_unparsed)
... | |
20,145 | [
-0.013140037655830383,
0.01563849486410618,
0.004158312920480967,
-0.08439235389232635,
-0.00506631750613451,
-0.006784007418900728,
0.013648983091115952,
-0.03729179874062538,
0.0164828822016716,
0.01853022910654545,
0.05279149115085602,
-0.027760643512010574,
-0.008756169117987156,
0.029... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "fheader", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}], "kwarg... | def process_file(fheader, filename):
# This parser assumes the coding style rules are being followed
with open(filename, "r") as cfile:
found_start = False
library, _ = os.path.splitext(os.path.basename(filename))
for line in cfile:
if found_start:
line = line... | |
20,146 | [
-0.025151297450065613,
-0.01777900569140911,
0.0593954361975193,
-0.08058425784111023,
-0.00691347848623991,
-0.005855080205947161,
-0.022565260529518127,
-0.06231515482068062,
0.0129823237657547,
0.025693530216813087,
0.051679033786058426,
-0.020584022626280785,
-0.03499492257833481,
0.00... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "fheader", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "library", "annotation": null, "type_comment": null}}, {"_type"... | def add_module(fheader, library, format_name, protocol_name):
lines = []
lines.append('.library_name = "' + library + '",')
if format_name != "":
lines.append('.format_name = "' + format_name + '",')
if protocol_name != "":
lines.append('.protocol_name = "' + protocol_name + '",')
t... | |
20,147 | [
-0.011148016899824142,
0.018689708784222603,
0.0697573646903038,
-0.03790589049458504,
-0.014201546087861061,
0.012089082971215248,
0.0018393569625914097,
-0.008930258452892303,
-0.042854711413383484,
0.024362429976463318,
-0.012648457661271095,
-0.031035445630550385,
0.03127235919237137,
... | 14 | {"_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": {... | class Migration(migrations.Migration):
dependencies = [
('postgres_tests', '0001_setup_extensions'),
]
operations = [
migrations.CreateModel(
name='CharArrayModel',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=Tru... | |
20,148 | [
0.13876375555992126,
0.04963568598031998,
-0.009472974576056004,
-0.05387591943144798,
0.005534129682928324,
0.029037291184067726,
-0.03186411410570145,
-0.02693795971572399,
0.018260030075907707,
0.017137615010142326,
0.014581002295017242,
-0.015911271795630455,
-0.008527236059308052,
-0.... | 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": "obj", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def _write_with_length(self, obj, stream):
serialized = self.dumps(obj)
if serialized is None:
raise ValueError("serialized value should not be None")
if len(serialized) > (1 << 31):
raise ValueError("can not serialize object larger than 2G")
write_int(len(seriali... | |
20,149 | [
0.029262356460094452,
-0.03697441145777702,
-0.01809617131948471,
-0.02637305110692978,
-0.019475651904940605,
-0.016608070582151413,
-0.020290305837988853,
0.0486619733273983,
-0.04622887447476387,
0.01656462252140045,
0.015250314958393574,
0.004931369796395302,
-0.004382836166769266,
-0.... | 13 | {"_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": "iterator", "annotation": null, "type_comment": null}}], "kwarg": ... | def _batched(self, iterator):
if self.batchSize == self.UNLIMITED_BATCH_SIZE:
yield list(iterator)
elif hasattr(iterator, "__len__") and hasattr(iterator, "__getslice__"):
n = len(iterator)
for i in xrange(0, n, self.batchSize):
yield iterator[i: i + s... | |
20,150 | [
0.13350053131580353,
0.041693367063999176,
0.01518537849187851,
-0.02879703789949417,
0.0016439756145700812,
0.05771670117974281,
-0.03145396709442139,
-0.011905091814696789,
-0.010249619372189045,
0.03595031052827835,
0.023932810872793198,
-0.023564929142594337,
-0.0030248130206018686,
0.... | 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": "stream", "annotation": null, "type_comment": null}}], "kwarg": nu... | def _read_with_length(self, stream):
length = read_int(stream)
if length == SpecialLengths.END_OF_DATA_SECTION:
raise EOFError
elif length == SpecialLengths.NULL:
return None
obj = stream.read(length)
if len(obj) < length:
raise EOFError
... | |
20,151 | [
0.04903492331504822,
-0.04455392435193062,
-0.05539367347955704,
-0.04120384529232979,
0.017187828198075294,
-0.00848188903182745,
0.012685492634773254,
-0.0029339869506657124,
0.02603246457874775,
-0.03631742298603058,
-0.000011815131983894389,
-0.02257569506764412,
0.06179509684443474,
0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "stream", "annotation": null, "type_comment": null}}], "kwarg": nu... | def _load_stream_without_unbatching(self, stream):
key_batch_stream = self.key_ser._load_stream_without_unbatching(stream)
val_batch_stream = self.val_ser._load_stream_without_unbatching(stream)
for (key_batch, val_batch) in zip(key_batch_stream, val_batch_stream):
# For double-zippe... | |
20,152 | [
0.07681194692850113,
-0.02058926597237587,
0.00023073269403539598,
-0.06504665315151215,
0.004113634116947651,
0.01697288453578949,
0.0010058061452582479,
0.019697226583957672,
-0.0007270434289239347,
-0.011246947571635246,
0.03797200694680214,
-0.007672756444662809,
-0.04496368020772934,
... | 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": "iterator", "annotation": null, "type_comment": null}}, {"_type": ... | def dump_stream(self, iterator, stream):
batch, best = 1, self.bestSize
iterator = iter(iterator)
while True:
vs = list(itertools.islice(iterator, batch))
if not vs:
break
bytes = self.serializer.dumps(vs)
write_int(len(bytes), str... | |
20,153 | [
0.05627012252807617,
-0.010288693010807037,
-0.03201422095298767,
-0.025192249566316605,
0.022294025868177414,
0.027332475408911705,
-0.03743166849017143,
-0.005328272003680468,
0.004617650061845779,
-0.018537482246756554,
0.02150258794426918,
-0.03045363910496235,
-0.0003995507431682199,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "obj", "annotation": null, "type_comment": null}}], "kwarg": null,... | def dumps(self, obj):
try:
return cloudpickle.dumps(obj, pickle_protocol)
except pickle.PickleError:
raise
except Exception as e:
emsg = _exception_message(e)
if "'i' format requires" in emsg:
msg = "Object too large to serialize: %... | |
20,154 | [
0.0717727467417717,
-0.022048918530344963,
-0.04455288127064705,
-0.0271164458245039,
0.017963869497179985,
0.049351517111063004,
-0.04298091307282448,
-0.02891593612730503,
-0.010316039435565472,
-0.036796458065509796,
-0.010952065698802471,
-0.05088211968541145,
0.009943731129169464,
-0.... | 13 | {"_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": "obj", "annotation": nu... | class CloudPickleSerializer(PickleSerializer):
def dumps(self, obj):
try:
return cloudpickle.dumps(obj, pickle_protocol)
except pickle.PickleError:
raise
except Exception as e:
emsg = _exception_message(e)
if "'i' format requires" in emsg:
... | |
20,155 | [
0.13147136569023132,
0.03150271996855736,
0.016402417793869972,
-0.04005046188831329,
-0.004890797659754753,
0.03383392468094826,
-0.02242993749678135,
-0.01129897590726614,
0.010647919960319996,
0.03446397930383682,
0.03870634362101555,
-0.008521486073732376,
-0.012853110209107399,
0.0180... | 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": "stream", "annotation": null, "type_comment": null}}], "kwarg": nu... | def loads(self, stream):
length = read_int(stream)
if length == SpecialLengths.END_OF_DATA_SECTION:
raise EOFError
elif length == SpecialLengths.NULL:
return None
s = stream.read(length)
return s.decode("utf-8") if self.use_unicode else s | |
20,156 | [
0.0693858191370964,
-0.014449655078351498,
0.003371967701241374,
-0.01873188279569149,
0.008587353862822056,
0.015663335099816322,
0.008249584585428238,
0.031028972938656807,
-0.02164013311266899,
0.03533409908413887,
0.052531708031892776,
0.007614120841026306,
-0.015468687750399113,
0.007... | 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": "bytes", "annotation": null, "type_comment": null}}], "kwarg": nul... | def write(self, bytes):
byte_pos = 0
byte_remaining = len(bytes)
while byte_remaining > 0:
new_pos = byte_remaining + self.current_pos
if new_pos < self.buffer_size:
# just put it in our buffer
self.buffer[self.current_pos:new_pos] = bytes[... | |
20,157 | [
0.01917359046638012,
-0.00032923195976763964,
0.03065764158964157,
-0.007708386518061161,
-0.01922384835779667,
-0.0016412518452852964,
0.009555383585393429,
-0.017452239990234375,
0.004890773445367813,
0.04352379962801933,
0.048047058284282684,
-0.025166908279061317,
0.000429945153882727,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def process_config(self):
super(IPVSCollector, self).process_config()
# Verify the --exact flag works
self.statcommand = [self.config['bin'], '--list', '--stats',
'--numeric', '--exact']
self.concommand = [self.config['bin'], '--list', '--numeric']
if... | |
20,158 | [
0.08620800822973251,
-0.008275968953967094,
0.021305693313479424,
-0.02916293777525425,
-0.008737796917557716,
0.011065413244068623,
0.010498903691768646,
0.027857502922415733,
0.02374414913356304,
0.03472951054573059,
0.06192198023200035,
0.02085002325475216,
-0.036502934992313385,
0.0203... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def close(self):
# if there is anything left in the buffer, write it out first
if self.current_pos > 0:
write_int(self.current_pos, self.wrapped)
self.wrapped.write(self.buffer[:self.current_pos])
# -1 length indicates to the receiving end that we're done.
write_i... | |
20,159 | [
0.013426149263978004,
-0.03018248826265335,
0.05193411558866501,
-0.04960157722234726,
0.016960086300969124,
0.020304327830672264,
-0.011255201883614063,
0.0008053230121731758,
0.01466970145702362,
0.018070148304104805,
0.02759702317416668,
-0.0353253148496151,
0.014964781701564789,
0.0012... | 18 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def collect(self):
if not os.access(self.config['bin'], os.X_OK):
self.log.error("%s does not exist, or is not executable",
self.config['bin'])
return False
if (str_to_bool(self.config['use_sudo'])
and not os.access(self.config['sudo_cm... | |
20,160 | [
0.001737118000164628,
-0.01057694386690855,
0.059059396386146545,
0.012788534164428711,
-0.00638381065800786,
-0.019857257604599,
-0.006300156936049461,
-0.015517731197178364,
-0.0024651652202010155,
0.020829729735851288,
-0.028755903244018555,
-0.010221416130661964,
0.017807746306061745,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def get_default_config_help(self):
config_help = super(IPVSCollector, self).get_default_config_help()
config_help.update({
'bin': 'Path to ipvsadm binary',
'use_sudo': 'Use sudo?',
'sudo_cmd': 'Path to sudo',
})
return config_help | |
20,161 | [
0.01220628246665001,
0.00020608131308108568,
-0.015686627477407455,
0.022847913205623627,
-0.0116345826536417,
0.012035774998366833,
0.02784276008605957,
-0.046337734907865524,
-0.014693675562739372,
0.007672806736081839,
0.0024334832560271025,
-0.032556772232055664,
0.05688909813761711,
-... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "spreadsheet", "annotation": null, "type_comment": null}}, {"_type... | def __init__(self, spreadsheet, element):
self.spreadsheet = spreadsheet
self.client = spreadsheet.client
self._id = element.find(_ns('id')).text.split('/')[-1]
self._title = element.find(_ns('title')).text
self._element = element
self.version = self._get_link(
... | |
20,162 | [
0.009686711244285107,
0.029527336359024048,
-0.008093023672699928,
-0.019591450691223145,
-0.010963737033307552,
0.008508317172527313,
0.029672689735889435,
0.0003291522152721882,
0.022841118276119232,
0.01444181613624096,
-0.000452280102763325,
-0.003888181410729885,
0.028053047135472298,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "text", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "encoding", "annotation": null, "type_comment": null}}, {"_type": ... | def _escape_attrib(text, encoding=None, replace=None):
try:
text = _elementtree_escape_attrib(text)
except TypeError as e:
if str(e) == '_escape_attrib() takes exactly 2 arguments (1 given)':
text = _elementtree_escape_attrib(text, encoding)
entities = {'\n': ' ', '\r': '
... | |
20,163 | [
0.00503760389983654,
-0.0017371956491842866,
0.051752086728811264,
-0.03789669647812843,
-0.009569074027240276,
-0.02783730812370777,
-0.04858875647187233,
-0.02095179259777069,
0.02410457842051983,
0.023556267842650414,
0.032308146357536316,
0.008477725088596344,
0.004136054310947657,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "index", "annotation": null, "type_comment": null}}, {"_type": "ar... | def _list_values(self, index, cell_tuple, position):
cells_list = self._fetch_cells()
cells = dict(map(cell_tuple, filter(position, cells_list)))
try:
last_index = max(cells.keys())
except ValueError:
return []
vals = []
for i in range(1, last_in... | |
20,164 | [
0.00015535857528448105,
0.018106751143932343,
-0.0026926472783088684,
-0.006046844180673361,
-0.001969165401533246,
0.001363918068818748,
0.046032585203647614,
-0.04398319125175476,
-0.0038229115307331085,
0.02670970931649208,
0.012600407004356384,
-0.0363936685025692,
0.008495984598994255,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cell_list", "annotation": null, "type_comment": null}}], "kwarg":... | def _create_update_feed(self, cell_list):
feed = Element('feed', {'xmlns': ATOM_NS,
'xmlns:batch': BATCH_NS,
'xmlns:gs': SPREADSHEET_NS})
id_elem = SubElement(feed, 'id')
id_elem.text = construct_url('cells', self)
for ce... | |
20,165 | [
0.009047284722328186,
0.04681955650448799,
0.04018983244895935,
-0.016185667365789413,
0.01689436100423336,
-0.029010750353336334,
-0.015785597264766693,
-0.01903187483549118,
0.019717708230018616,
0.027021832764148712,
0.009864569641649723,
-0.037972304970026016,
0.03205127641558647,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "func", "annotation": null, "type_comment": null}}, {"_type": "arg... | def _finder(self, func, query):
cells = self._fetch_cells()
if isinstance(query, basestring):
match = lambda x: x.value == query
else:
match = lambda x: query.search(x.value)
return func(match, cells) | |
20,166 | [
0.020305970683693886,
0.00626721465960145,
0.001379375229589641,
0.033693015575408936,
0.021697595715522766,
-0.016189895570278168,
0.042297571897506714,
-0.041435156017541885,
-0.0233636274933815,
0.01915935054421425,
0.029263334348797798,
-0.008673158474266529,
-0.012436427175998688,
-0.... | 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": "worksheet", "annotation": null, "type_comment": null}}, {"_type":... | def __init__(self, worksheet, element):
self.element = element
cell_elem = element.find(_ns1('cell'))
self._row = int(cell_elem.get('row'))
self._col = int(cell_elem.get('col'))
self.input_value = cell_elem.get('inputValue')
#: Value of the cell.
self.value = cel... | |
20,167 | [
-0.04505670443177223,
0.03490090370178223,
0.01650962233543396,
0.0015505963237956166,
-0.020182723179459572,
0.0351586639881134,
0.018172184005379677,
-0.04541756957769394,
0.003305790713056922,
-0.01607142761349678,
0.03711765259504318,
-0.04820139333605766,
0.0022215815261006355,
0.0299... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id"... | class LibYkPiv(CLibrary):
ykpiv_strerror = [ykpiv_rc], c_char_p
ykpiv_strerror_name = [ykpiv_rc], c_char_p
ykpiv_init = [POINTER(POINTER(ykpiv_state)), c_int], ykpiv_rc
ykpiv_done = [POINTER(ykpiv_state)], ykpiv_rc
ykpiv_connect = [POINTER(ykpiv_state), c_char_p], ykpiv_rc
ykpiv_disconnect = [... | |
20,168 | [
-0.007267733104526997,
-0.008090788498520851,
0.06779076159000397,
-0.032942917197942734,
-0.014048879966139793,
0.002927281428128481,
0.015591462142765522,
0.013841822743415833,
0.0488656722009182,
0.04642238840460777,
-0.018241804093122482,
-0.027828585356473923,
0.04269534349441528,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "return_tuples", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, ... | def _get_backends(return_tuples=False):
backends = []
for backend_path in settings.AUTHENTICATION_BACKENDS:
backend = load_backend(backend_path)
backends.append((backend, backend_path) if return_tuples else backend)
if not backends:
raise ImproperlyConfigured(
'No authent... | |
20,169 | [
0.023439588025212288,
0.017019178718328476,
0.018932845443487167,
0.01366743165999651,
0.021944889798760414,
0.01729094237089157,
-0.020302986726164818,
0.00826613511890173,
-0.01080259308218956,
0.03485364839434624,
0.01905740424990654,
-0.009675906971096992,
-0.003272483590990305,
0.0128... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "parse_rule", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyarg... | def test_rule_valid(parse_rule):
cases = [(
'client_ip4 in 1.2.3.4/32 => prod',
Rule(
Request.client_ip4.in_(types.IPNetwork('1.2.3.4/32')),
Upstream(Selection(Server('http', 'prod'), 1))
),
)]
for raw, expected in cases:
parsed = parse_rule(raw)
... | |
20,170 | [
0.010905233211815357,
0.02599174715578556,
0.03962046280503273,
0.005136195570230484,
0.013187986798584461,
0.011142549104988575,
-0.018725359812378883,
-0.0016442605992779136,
-0.0141598517075181,
0.037902750074863434,
0.022929241880774498,
-0.0343543104827404,
0.021324533969163895,
0.017... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "parse_rule", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyarg... | def test_rule_invalid(parse_rule):
cases = [
('client_ip4 in 1.2.3.4/32 => prod,wat', exc.ParseException),
('client !in 1.2.3.4/32 => prod', exc.ParseException),
]
for raw, ex in cases:
with pytest.raises(ex):
parse_rule(raw) | |
20,171 | [
-0.015895547345280647,
-0.018266849219799042,
0.07504782825708389,
-0.03645552694797516,
-0.021367784589529037,
0.01151775661855936,
-0.022019241005182266,
-0.0032703133765608072,
-0.034266628324985504,
0.04875503107905388,
-0.00820184126496315,
-0.04283980280160904,
-0.005644873715937138,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "List", "_fields": {"c... | def rules():
return [
Rule(
Request.client_ip4.in_(types.IPNetwork('1.2.3.4/32')),
Upstream(Selection(Server('http', 'me'), 1))
),
Rule(
Request.method.in_(['GET', 'POST']),
Upstream(
Selection(Server('https', 'prod1'), 1),
... | |
20,172 | [
0.031823888421058655,
0.004262750502675772,
-0.015586499124765396,
-0.026175089180469513,
0.022943884134292603,
0.018666604533791542,
0.0004118915239814669,
-0.017690269276499748,
0.03094053640961647,
0.02115393616259098,
0.017934352159500122,
-0.02354828268289566,
0.030080432072281837,
0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "parse_rule", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyarg... | def test_rule_match(parse_rule):
content = json.dumps({'hi': 'there'})
req = Request(environ={
'METHOD': 'PATCH',
'REMOTE_ADDR': '1.2.3.4',
'PATH_INFO': '/a/b/c/123',
'HTTP_X_1': '5',
'CONTENT_TYPE': 'application/json',
'CONTENT_LENGTH': str(len(content)),
... | |
20,173 | [
0.02886616438627243,
0.02622087299823761,
0.0665963739156723,
-0.02045460231602192,
0.006723449565470219,
0.012425909750163555,
-0.005815580952912569,
-0.008939461782574654,
-0.013249662704765797,
0.0596814900636673,
0.03733573853969574,
-0.033576641231775284,
0.03585066273808479,
0.050214... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "rules", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def test_rules_match_miss(rules):
req = Request(environ={
'REQUEST_METHOD': 'PATCH',
'REMOTE_ADDR': '11.22.33.44',
})
rules = Rules(rules)
assert rules.match(req) is None
rules.compile = True
assert rules.match(req) is None
rules.compile = False
assert rules.match(req) is... | |
20,174 | [
0.05251249670982361,
0.06103065237402916,
0.019843433052301407,
-0.03579077497124672,
0.0074533866718411446,
0.03729113191366196,
-0.025385074317455292,
-0.04193739965558052,
-0.012668337672948837,
0.05812673643231392,
0.02720002271234989,
-0.02127119153738022,
0.006322069093585014,
0.0481... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "rules", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def test_rules_load_parse_error(rules):
raw = '\n'.join([str(rule) for rule in rules] + ['junk'])
assert Rules(strict=False).loads(raw) == rules
with pytest.raises(exc.ParseException):
Rules().loads(raw)
assert Rules().loads(raw, strict=False) == rules
with pytest.raises(exc.ParseException):... | |
20,175 | [
0.04655139893293381,
0.021630950272083282,
0.0695778951048851,
-0.017743360251188278,
-0.03578576445579529,
0.058114487677812576,
-0.007837480865418911,
-0.006653760094195604,
-0.014566002413630486,
0.014104974456131458,
0.01493980921804905,
-0.010715792886912823,
0.018715256825089455,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "rules", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def test_rules_enable_disable(rules):
rules = Rules(rules)
assert rules.disabled == set()
with pytest.raises(IndexError):
rules.disable(100)
rules.disable(1)
assert rules.disabled == set([rules[1]])
assert rules[1] in rules.disabled
rules.enable(1)
assert rules.disabled == set()
... | |
20,176 | [
0.023594027385115623,
-0.003373746294528246,
0.05362480878829956,
-0.019765270873904228,
0.011497371830046177,
0.019731976091861725,
-0.015514793805778027,
-0.009072491899132729,
-0.031140565872192383,
0.05824151635169983,
0.026568252593278885,
-0.016635676845908165,
0.03191741555929184,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "rules", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def test_rules_match_hit(rules):
req = Request(environ={
'REQUEST_METHOD': 'PATCH',
'REMOTE_ADDR': '1.2.3.4',
})
rules = Rules(rules)
assert str(rules.match(req)) == 'http://me,1'
rules.compile = True
assert str(rules.match(req)) == 'http://me,1'
rules.compile = False
ass... | |
20,177 | [
0.03690848499536514,
0.0317961610853672,
0.06159726902842522,
0.0035661577712744474,
-0.01198278833180666,
0.03952699154615402,
0.014900553971529007,
-0.04426524415612221,
-0.02230718918144703,
0.044240307062864304,
0.01665869541466236,
-0.027057910338044167,
0.025935692712664604,
0.049452... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "rules", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def test_rules_match_error_propagate(rules):
req = Request(environ={
'REQUEST_METHOD': 'PATCH',
'REMOTE_ADDR': '1.2.3.4',
})
rs = Rules(rules, compile=False)
with mock.patch('rump.Rule.match') as patch:
patch.side_effect = Exception('boom')
with pytest.raises(Exception):... | |
20,178 | [
0.04938415065407753,
0.0407320074737072,
0.057019852101802826,
-0.013449247926473618,
-0.00596229312941432,
0.034732528030872345,
0.006315568462014198,
-0.020514750853180885,
-0.021605566143989563,
0.035203561186790466,
0.009395879693329334,
-0.021320465952157974,
0.03515397757291794,
0.05... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "rules", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def test_rules_match_error_disable(rules):
req = Request(environ={
'REQUEST_METHOD': 'PATCH',
'REMOTE_ADDR': '1.2.3.4',
})
rs = Rules(rules, compile=False)
with mock.patch('rump.Rule.match') as patch:
patch.side_effect = Exception('boom')
rs.match(req, error='disable')
... | |
20,179 | [
0.009333900175988674,
-0.006336428225040436,
0.020532412454485893,
-0.05507109314203262,
-0.009545295499265194,
0.021117813885211945,
-0.04913035407662392,
-0.06868709623813629,
-0.02092267945408821,
0.056588802486658096,
-0.03837631270289421,
-0.015274640172719955,
0.01798483170568943,
-0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "Finds the absolute paths for the given static file(s)."}}, "targets": [{"_type": "Name", "_fields": {"id": "help", "ctx": {"_type": "Stor... | class Command(LabelCommand):
help = "Finds the absolute paths for the given static file(s)."
args = "[file ...]"
label = 'static file'
option_list = LabelCommand.option_list + (
make_option('--first', action='store_false', dest='all', default=True,
help="Only return the first... | |
20,180 | [
0.0046663181856274605,
0.040433645248413086,
0.02718130312860012,
-0.04556659609079361,
-0.02552475966513157,
0.012424072250723839,
-0.02893117256462574,
-0.01443058904260397,
-0.006492014974355698,
0.07293455302715302,
0.006678667850792408,
0.010131743736565113,
0.015095539391040802,
-0.0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "path", "annotation": null, "type_comment": null}}], "kwarg": {"_t... | def handle_label(self, path, **options):
verbosity = int(options.get('verbosity', 1))
result = finders.find(path, all=options['all'])
if result:
if not isinstance(result, (list, tuple)):
result = [result]
output = '\n '.join((os.path.realpath(path) for pa... | |
20,181 | [
0.035817280411720276,
0.01569288782775402,
0.01378149539232254,
-0.04808914288878441,
0.040833160281181335,
-0.0059502702206373215,
0.00963000301271677,
-0.034965068101882935,
0.017506882548332214,
0.0060354918241500854,
0.057268690317869186,
-0.017616452649235725,
-0.0036219037137925625,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "filename", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs"... | def load_data(filename):
with open(filename, 'r') as f:
results = {}
totals = {}
counts = {}
records = json.load(f)
for record in records:
key = record.get('testcase')
value = record.get('domComplete') - record.get('domLoading')
totals[key]... | |
20,182 | [
-0.01656976528465748,
-0.014199165627360344,
0.0413755364716053,
-0.008901972323656082,
-0.022190777584910393,
-0.019954591989517212,
-0.03739194944500923,
0.008229894563555717,
0.02335163950920105,
-0.017950579524040222,
0.037098679691553116,
0.0112298047170043,
-0.013087182305753231,
-0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "targets": [{"_type": "Name", "_fields": {"id": "firstAddrnServices", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": nu... | class P2PIgnoreInv(P2PInterface):
firstAddrnServices = 0
def on_inv(self, message):
# The node will send us invs for other blocks. Ignore them.
pass
def on_addr(self, message):
self.firstAddrnServices = message.addrs[0].nServices
def wait_for_addr(self, timeout=5):
test_f... | |
20,183 | [
-0.011938848532736301,
-0.02789825201034546,
0.040489956736564636,
-0.053779762238264084,
-0.012953683733940125,
0.007174944505095482,
-0.004935198463499546,
0.032242003828287125,
-0.02153776027262211,
0.040102120488882065,
0.02709672786295414,
0.03630134090781212,
-0.021460194140672684,
0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class NodeNetworkLimitedTest(BitcoinTestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 3
self.extra_args = [['-prune=550', '-addrmantest'], [], []]
def disconnect_all(self):
disconnect_nodes(self.nodes[0], 1)
disconnect_nodes(self.n... | |
20,184 | [
0.012972097843885422,
-0.023966504260897636,
0.059330761432647705,
-0.034739721566438675,
-0.023901449516415596,
0.006765788421034813,
-0.007026011124253273,
0.009003703482449055,
0.006456774193793535,
0.009777865372598171,
0.039579860866069794,
0.04559100419282913,
-0.0344274528324604,
-0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def run_test(self):
node = self.nodes[0].add_p2p_connection(P2PIgnoreInv())
expected_services = NODE_WITNESS | NODE_NETWORK_LIMITED | NODE_ACP
self.log.info("Check that node has signalled expected services.")
assert_equal(node.nServices, expected_services)
self.log.info("Check... | |
20,185 | [
-0.00045818949001841247,
0.04262940213084221,
0.0035314783453941345,
-0.07134078443050385,
-0.02794545516371727,
0.012025080621242523,
-0.011587406508624554,
-0.02998063713312149,
-0.009114551357924938,
-0.009667114354670048,
0.028842685744166374,
0.002238973742350936,
0.007041072938591242,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "module", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "pkgng_path", "annotation": null, "type_comment": null}}, {"_typ... | def annotate_packages(module, pkgng_path, packages, annotation):
annotate_c = 0
annotations = map(lambda _annotation:
re.match(r'(?P<operation>[\+-:])(?P<tag>\w+)(=(?P<value>\w+))?',
_annotation).groupdict(),
re.split(r',', annotation))
operation = {
'+': annotation_add,... | |
20,186 | [
-0.007101722061634064,
-0.027376824989914894,
0.021345224231481552,
-0.01193730253726244,
-0.019868798553943634,
-0.007050218991935253,
0.0030301064252853394,
-0.05429584160447121,
-0.02620941773056984,
0.0493057519197464,
-0.00535347405821085,
-0.0036939256824553013,
0.043674733489751816,
... | 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": "context_model", "annotation": null, "type_comment": null}}, {"_ty... | def __init__(self, context_model=None, versions_tab=False, parent=None):
super(PackageTabWidget, self).__init__(parent)
ContextViewMixin.__init__(self, context_model)
self.variant = None
self.tabs = {}
self.summary_widget = VariantSummaryWidget()
self.tools_widget = Vari... | |
20,187 | [
0.00209116586484015,
-0.022756630554795265,
0.026387251913547516,
-0.013181760907173157,
0.05528983473777771,
0.04805232211947441,
0.016990352421998978,
-0.002430794993415475,
0.011787650175392628,
0.026933031156659126,
0.03495361655950546,
0.017263242974877357,
0.013181760907173157,
0.040... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class SparseReshapeTest(tf.test.TestCase):
def _SparseTensorPlaceholder(self):
return tf.SparseTensor(
tf.placeholder(tf.int64), tf.placeholder(tf.float64),
tf.placeholder(tf.int64))
def _SparseTensorValue_5x6(self):
ind = np.array([
[0, 0], [1, 0], [1, 3], [1, 4], [3, 2], [3, 3]
... | |
20,188 | [
0.03460980951786041,
-0.01470604632049799,
0.010195525363087654,
-0.011926015838980675,
-0.017317399382591248,
-0.0025238923262804747,
0.005463227164000273,
-0.02020363323390484,
-0.013019286096096039,
0.0004291085642762482,
-0.025913627818226814,
-0.05202716588973999,
-0.023327263072133064,... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def __init__(self):
super(BypassStorySet, self).__init__()
urls_list = [
'http://check.googlezip.net/block/',
]
for url in urls_list:
self.AddStory(BypassPage(url, self)) | |
20,189 | [
-0.006731324829161167,
-0.0032260180450975895,
0.026111101731657982,
-0.03315484896302223,
0.02281644567847252,
-0.05017724260687828,
-0.005126599688082933,
-0.00012181886995676905,
0.00191359908785671,
0.014778618700802326,
0.004224829375743866,
0.03298443555831909,
0.016653165221214294,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _SparseTensorValue_5x6(self):
ind = np.array([
[0, 0], [1, 0], [1, 3], [1, 4], [3, 2], [3, 3]
]).astype(np.int64)
val = np.array([0, 10, 13, 14, 32, 33]).astype(np.float64)
shape = np.array([5, 6]).astype(np.int64)
return tf.SparseTensorValue(ind, val, shape) | |
20,190 | [
-0.015720488503575325,
-0.0216399896889925,
0.026105089113116264,
-0.03066282719373703,
0.033164024353027344,
-0.06399359554052353,
-0.006271521095186472,
0.0034785170573741198,
-0.0072766318917274475,
0.03179299831390381,
0.015451841987669468,
0.03964861109852791,
0.029421491548419,
0.001... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _SparseTensorValue_2x3x4(self):
ind = np.array([
[0, 0, 1], [0, 1, 0], [0, 1, 2], [1, 0, 3], [1, 1, 1], [1, 1, 3],
[1, 2, 2]
])
val = np.array([1, 10, 12, 103, 111, 113, 122])
shape = np.array([2, 3, 4])
return tf.SparseTensorValue(ind, val, shape) | |
20,191 | [
-0.011966229416429996,
-0.06053772568702698,
0.03678761050105095,
-0.011305238120257854,
0.05214996635913849,
0.02990417741239071,
0.02473020739853382,
0.022940970957279205,
0.01857614703476429,
-0.009874988347291946,
0.0011895002098754048,
0.0024573507253080606,
0.009629965759813786,
0.03... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedSameShape(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(sp_input, [5, 6])
output_val = sess.run(sp_output, {sp_input: input_val})
self.assertAllEqual(... | |
20,192 | [
-0.025777539238333702,
-0.05401213467121124,
0.03422636538743973,
-0.0026820171624422073,
0.04681339114904404,
0.02769576758146286,
0.02058323659002781,
0.012468484230339527,
0.019925866276025772,
-0.008874500170350075,
-0.00798543356359005,
0.020626341924071312,
0.013492257334291935,
0.02... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testSameShape(self):
with self.test_session(use_gpu=False) as sess:
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(input_val, [5, 6])
output_val = sess.run(sp_output)
self.assertAllEqual(output_val.indices, input_val.indices)
self.assertAllEqual(output_val... | |
20,193 | [
-0.011236879974603653,
-0.0401792973279953,
0.04768223688006401,
-0.020767483860254288,
0.03167128935456276,
0.02058049477636814,
0.016536854207515717,
0.039922188967466354,
0.023350272327661514,
0.009139095433056355,
-0.0017515625804662704,
0.007286734413355589,
0.009267650544643402,
0.03... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedNewShapeSameRank(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(sp_input, [3, 10])
output_val = sess.run(sp_output, {sp_input: input_val})
self.assertA... | |
20,194 | [
-0.01726006530225277,
-0.047998107969760895,
0.030852653086185455,
-0.003890964202582836,
0.06289723515510559,
0.029408583417534828,
0.04288656264543533,
0.007552710827440023,
0.008819136768579483,
-0.010022527538239956,
0.024663785472512245,
-0.0029081949032843113,
0.02363230660557747,
0.... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedSameShapeWithInferredDim(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(sp_input, [-1, 6])
output_val = sess.run(sp_output, {sp_input: input_val})
self... | |
20,195 | [
-0.01690944842994213,
-0.03654545545578003,
0.03752605989575386,
-0.010870358906686306,
0.03733472153544426,
0.0220635998994112,
0.03379497677087784,
0.024897785857319832,
0.017052950337529182,
0.005632496438920498,
0.018368396908044815,
0.0039373659528791904,
0.017435625195503235,
0.03566... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedNewShapeSameRankWithInferredDim(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(sp_input, [3, -1])
output_val = sess.run(sp_output, {sp_input: input_val})
... | |
20,196 | [
-0.0027057286351919174,
-0.03551540896296501,
0.026857076212763786,
-0.04510224610567093,
0.010718457400798798,
0.014577565714716911,
0.00424211798235774,
0.018697816878557205,
0.0233983863145113,
0.007973557338118553,
-0.000027429050533100963,
0.04171319305896759,
-0.016759557649493217,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testUpRank(self):
with self.test_session(use_gpu=False) as sess:
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(input_val, [2, 3, 5])
output_val = sess.run(sp_output)
self.assertAllEqual(output_val.indices, np.array([
[0, 0, 0], [0, 1, 1], [0, 1, 4], [... | |
20,197 | [
-0.01165011990815401,
-0.033140748739242554,
0.013412422500550747,
-0.029308626428246498,
0.03832120820879936,
0.015162897296249866,
0.03382674604654312,
0.02526361122727394,
0.016582202166318893,
0.009923300705850124,
0.036239560693502426,
0.02358410134911537,
-0.00867549516260624,
-0.000... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedUpRankWithInferredDim(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(sp_input, [2, -1, 5])
output_val = sess.run(sp_output, {sp_input: input_val})
self... | |
20,198 | [
-0.0031564966775476933,
-0.03648282587528229,
0.021124694496393204,
-0.04576048254966736,
0.01996207982301712,
0.017299694940447807,
0.018160028383135796,
0.03794771805405617,
0.029367627575993538,
0.013649087399244308,
0.01716018095612526,
0.02787948213517666,
-0.022531457245349884,
-0.00... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedUpRank(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_5x6()
sp_output = tf.sparse_reshape(sp_input, [2, 3, 5])
output_val = sess.run(sp_output, {sp_input: input_val})
self.assertAllEqual(... | |
20,199 | [
-0.003709835698828101,
-0.043473001569509506,
0.03803887963294983,
-0.05629196763038635,
0.024012332782149315,
0.01121659204363823,
0.028494324535131454,
0.03906067833304405,
0.044216129928827286,
0.008127965033054352,
0.020552141591906548,
0.028889110311865807,
-0.014049768447875977,
0.00... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedDownRank(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_2x3x4()
sp_output = tf.sparse_reshape(sp_input, [6, 4])
output_val = sess.run(sp_output, {sp_input: input_val})
self.assertAllEqual... | |
20,200 | [
-0.00826775562018156,
-0.039036963135004044,
0.030299445614218712,
-0.0385906919836998,
0.04284200817346573,
0.008508507162332535,
0.03741629421710968,
0.02750438079237938,
0.031051060184836388,
0.006124481093138456,
0.035090986639261246,
0.022231338545680046,
-0.000604447559453547,
0.0048... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def testFeedDownRankWithInferredDim(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensorPlaceholder()
input_val = self._SparseTensorValue_2x3x4()
sp_output = tf.sparse_reshape(sp_input, [6, -1])
output_val = sess.run(sp_output, {sp_input: input_val})
sel... |