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gsapi.wpu
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{'attrib-starts': [('TestGenericMongo',
19),
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45)],
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130,
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232,
236,
271],
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'sel-line-start': 1728,
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1354479740.687),
(loc('gsapi/tests/utils/test_nextid.py'),
{'attrib-starts': [('TestNextId',
13),
('TestNextId.test_nextid_insert_new_record',
30)],
'first-line': 7,
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'selection_start': 891},
1354479744.375),
[loc('gsapi/tests/base.py'),
{'attrib-starts': [('MongoTestCase',
33),
('MongoTestCase.setUp',
34)],
'first-line': 33,
'folded-linenos': [],
'sel-line': 46,
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1354480210.618]],
19),
'current-loc': loc('gsapi/tests/base.py'),
'editor-states': {loc('gsapi/controllers/generic.py'): {'attrib-star'\
'ts': [('Generic',
104),
('Generic.__init__',
106)],
'first-line': 1,
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48,
112],
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loc('gsapi/globals.py'): {'attrib-starts': [('load',
4)],
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'folded-linenos': [],
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'sel-line-start': 386,
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loc('gsapi/models/_cs.py'): {'attrib-starts': [],
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'sel-line': 34,
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loc('gsapi/models/embed.py'): {'attrib-starts': [(''\
'Im',
116)],
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loc('gsapi/run.py'): {'attrib-starts': [],
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loc('gsapi/tests/controllers/test_generic_mongo.py'): {''\
'attrib-starts': [('TestGenericMongo',
19),
('TestGenericMongo.post_sample_Prs',
45)],
'first-line': 23,
'folded-linenos': [24,
94,
130,
182,
232,
236,
271],
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loc('gsapi/tests/utils/test_nextid.py'): {'attrib-'\
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13),
('TestNextId.test_nextid_insert_new_record',
30)],
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loc('venv/Lib/site-packages/schematics/validation.py'): {''\
'attrib-starts': [('validate_instance',
89)],
'first-line': 95,
'folded-linenos': [],
'sel-line': 123,
'sel-line-start': 4259,
'selection_end': 4259,
'selection_start': 4259}},
'has-focus': True},
'open_files': [u'gsapi/models/generic.py',
u'gsapi/models/embed.py',
u'gsapi/models/_cs.py',
u'venv/Lib/site-packages/schematics/validation.py',
u'gsapi/run.py',
u'gsapi/globals.py',
u'gsapi/controllers/generic.py',
u'gsapi/tests/controllers/test_generic_mongo.py',
u'gsapi/tests/utils/test_nextid.py',
u'gsapi/tests/base.py']},
'saved_notebook_display': None,
'split_percents': {0: 0.38002059732234811},
'splits': 1,
'tab_location': 'top',
'user_data': {}},
'saved_notebook_display': None,
'split_percents': {0: 0.60212514757969304},
'splits': 2,
'tab_location': 'left',
'user_data': {}},
'window-alloc': (740,
238,
1136,
850)},
{'name': 'LMS40UQ5pGD6veylGaDfNY8SrltQNKdz',
'size-state': '',
'type': 'panel-tall',
'view': {'area': 'window-wide',
'constraint': None,
'current_pages': [0],
'override_title': None,
'pagelist': [('debug-data',
'window-wide',
1,
{})],
'split_percents': {},
'splits': 1,
'tab_location': 'top',
'user_data': {}},
'window-alloc': (2020,
190,
1006,
655)},
{'name': 'ZN61BXtthIaQwBI4IrLLmg4QqZ9T0XEw',
'size-state': '',
'type': 'panel-tall',
'view': {'area': 'window-wide',
'constraint': None,
'current_pages': [0],
'override_title': None,
'pagelist': [('debug-probe',
'window-wide',
2,
{'attrib-starts': [],
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'history': {None: [],
u'file:C:/Program Files (x86)/Wing IDE 4.1/src/testing/runners/run_nosetests_xml.py': [""\
"sample_docs[1]['id']\n",
"sample_docs[1]['_id']\n",
"sample_docs[1]['_id'].__str__()\n",
'patch\n',
'dumps(patch)\n',
'm = models[collection](**where)\n',
'm.id\n',
'm._id\n',
'where\n',
'k, v\n',
"if k == '_id': print ObjectId(v)\n",
"patch_errors['errors']\n",
"resp['value']\n",
"dumps(resp['value'])\n",
"loads(dumps(resp['value']))\n",
"sample_docs_offset[sample_docs_offset]['fNam']\n",
"sample_docs[sample_docs_offset]['fNam']\n",
"data[self.collection][0]['fNam']\n",
"data['doc']['fNam']\n",
"sample['patch']['fnam']\n",
"sample['patch']\n",
"sample['patch']['fNam']\n",
'datetime.datetime.utcnow()\n',
"datetime.utcnow().strftime('%Y%m%d%H%M%S%f')\n",
"datetime.datetime.utcnow().strftime('%Y%m%d%H%M%S%f')\n",
"int(datetime.datetime.utcnow().strftime('%Y%m%d%H%M%S%f'))\n",
'datetime.datetime.now()\n',
'dthandler = lambda obj: obj.isoformat() if isinstance(obj, datetime'\
'.datetime) else None\n',
'json.dumps(datetime.datetime.now(), default=dthandler)\n',
'from bson import json_util\nimport json\n\n',
'import json\n',
'now = datetime.datetime.now()\n',
'json.dumps(now, default=json_util.default)\n',
'from bson import json_util\n',
"json.loads('{\"$date\": 1347893866298}', object_hook=dumps.object_h"\
"ook)\n",
"json.loads('{\"$date\": 1347893866298}', object_hook=json_util.obje"\
"ct_hook)\n",
"deserial['patch']\n",
"deserial['patch']['lvOn']\n",
"deserial['patch']['rBy']\n",
"g('where')\n",
'test_datetime\n',
'dir(test_datetime)\n',
'test_datetime.microsecond()\n',
'test_datetime.microsecond\n',
'import datetime\n',
'datetime.fromtimestamp(test_datetime)\n',
'type(test_datetime)\n',
'from matplotlib.dates import date2num\n',
'(t-datetime.datetime(1970,1,1)).total_seconds()\n',
'test_datetime.second\n',
'test_datetime.strptime\n',
'test_datetime.strptime()\n',
'test_datetime.timetuple()\n',
'test_datetime.toordinal()\n',
'm = models[collection](**docs[0])\n',
'm.dNam\n',
"doc['_cls']\n",
"_cls[doc['_cls']]\n",
"\"From: {json_fname}, {count} docs loaded, {errors} errors.\".forma"\
"t(json_fname=json_fname, count=resp['response']['total_inserted'], "\
"errors=resp['response']['total_errors'])\n",
"resp['response']\n",
"resp['response']['total_inserted']\n",
"sample_doc['id']\n",
'docs[0]\n',
"docs[0]['_id']\n",
'sample_doc\n',
"addParams['route']\n",
'request\n',
'data\n',
"request['data']\n",
"sample_doc['_id']\n",
"got_doc['_id']['$oid']\n",
'vflds = json.loads(virtual_fields)\n',
'initialed_model.vfld\n',
'initialed_model.dNam\n',
'getattr(initialed_model, vfld)()\n',
'initialed_model\n',
'getattr(model, vfld)()\n',
'initialed_model.__class__\n',
"getattr(initialed_model, 'dNam')\n",
'vfld\n',
'getattr(initialed_model, vfld)\n',
'[i, doc in enumerate(docs)]\n',
'[i for i, doc in enumerate(docs)]\n',
'[doc for i, doc in enumerate(docs)]\n',
'models\n',
'models.Prs\n',
"m = getattr(models, doc['_c'])\n",
'm\n',
"docs_found[i][sort_test['fld']]\n",
'models.esCnt\n',
"es.put_mapping(\"test-type\", {'properties':models.esCnt}, [\"test-"\
"index\"])\n",
'es\n',
'print ES(self.URL)\n',
'print ES(self.URL).__str__()\n',
'es.create_index("test-index")\n',
'es.index({"dNam":"Joe Tester", "parsedtext":"Joe Testere nice guy",'\
' "position":1}, "test-index", "test-type", 1)\n',
'initialized_model.dNam\n',
"doc['_id']\n",
"doc['_id'].__str__\n",
"doc['_id'].__str__()\n"],
u'file:C:/Users/Larry/__prjs/_ex/_prjs/f2/ex/run.py': ['mongo.db.con'\
'tacts\n',
"current_app.extensions['pymongo']['Database']['Mongo']\n",
"current_app.extensions['pymongo']['Database']['MONGO']\n",
"current_app.extensions['pymongo']['Database']\n",
"current_app.extensions['pymongo']\n",
"current_app.extensions['pymongo']['MONGO']['Database']\n",
"current_app.extensions['pymongo']['MONGO'][1]\n",
"current_app.extensions['pymongo']['MONGO'][0]['ex']\n",
'db1.contacts.find()\n',
'db1.contacts.find().all()\n',
'g\n',
"setattr(g, 'mongo', mongo)\n",
"current_app.extensions['pymongo']['MONGO'][0]\n",
"current_app.extensions['pymongo']['MONGO']\n",
'current_app.extensions\n',
"db1 = current_app.extensions['pymongo']['MONGO'][0]['ex']\n",
'db1.contacts.find()[0]\n',
"current_app.config['MONGO_DBNAME']\n",
'mongo\n',
'mongo.db\n',
'print db\n',
'print db.contacts.find()[0]\n',
"print db.contacts.find()[0]['fnam']\n",
'db.contacts.find()\n',
'db.contacts.find()[0]\n',
'where\n',
'args\n'],
u'file:C:/Users/Larry/__prjs/_ex/_prjs/f2/ex/tests/api/test_contacts.py': [''\
'import sys\n',
'sys.path\n'],
u'file:C:/Users/Larry/__prjs/_ex/_prjs/f2/ex/tests/test_contacts.py': [''\
'self.app.application\n',
'current_app\n'],
u'file:C:/Users/Larry/__prjs/_of/ofd/d.py': ['note.splitlines()\n',
'note.splitlines()[:4]\n',
'note.splitlines()[:2]\n',
'line\n',
'line.strip()\n',
'len(line.strip())\n',
'dir(match)\n',
'match.start()\n',
'match.groups\n',
'match.groups()\n',
'result = re.findall(r"(?m)(\\d{1,4})[-/](\\d{1,2})[-/](\\d{1,4})(.*'\
'?$)", note)\n',
'result = reobjDat.findall(note)\n',
'result\n',
'match\n',
'match.group(1)\n',
'note\n',
'match.group(0)\n',
'match.group()\n'],
u'file:C:/Users/Larry/__prjs/_of/ofd/m.py': ["if 'firstname' in cont"\
"act:\n print contact.firstname\n\n",
'for k,v in contact.iteritems():\n print k, v\n\n',
'[for k,v in contact.iteritems()]\n',
'[k, v for k,v in contact.iteritems()]\n',
'[k for k in contact.iterkeys()]\n',
'[k for k in contact.iterkeys() if contact[k]]\n',
'[k, contact[k] for k in contact.iterkeys() if contact[k]]\n',
'[{k: contact[k]} for k in contact.iterkeys() if contact[k]]\n',
"mysql_contact['family_tags']\n",
"mysql_contact['family_tags'].split(',')\n",
"contact['id']\n",
'mongo_contacts.find({"id":5080})\n',
'mongo_contacts.find_one({"id":5080})\n',
"mongo_contacts.find_one({\"id\":mysql_contacts_related['child_id']}"\
")\n",
"mongo_contacts.find_one({\"id\":mysql_contacts_related['child_id']}"\
").ObjectId\n",
"mongo_contacts.find_one({\"id\":mysql_contacts_related['child_id']}"\
").ObjectId()\n",
"mongo_contacts.find_one({\"id\":mysql_contacts_related['child_id']}"\
")['ObjectId']\n",
"mongo_contacts.find_one({\"id\":mysql_contacts_related['child_id'],"\
" {ObjectId:1}})\n",
"mongo_contacts.find_one({\"id\":mysql_contacts_related['child_id'],"\
" {\"ObjectId\":1}})\n",
"child = mongo_contacts.find_one({\"id\":mysql_contacts_related['chi"\
"ld_id']})\n",
"child['ObjectId']\n",
"child['_id']\n",
"child = mongo_contacts.find_one({\"id\":mysql_contacts_related['chi"\
"ld_id']})['_id']\n",
'child\n',
'mongo_contacts.drop()\n',
'mongo_db.mongo_contacts.drop()\n',
'mongo_db.drop_collection("contacts")\n',
'mongo_contacts\n',
'mongo_db.drop_collection("places")\n',
'contact\n',
"contact['cong_tags']\n",
"'elder' in contact['cong_tags']\n",
"contact['gender']\n",
"contact['gender'].tolower()\n",
"contact['gender'].lower()\n",
"contact['gender'].upper()\n",
"contact['gender'][0].lower()\n",
'mongo_contacts.find({"cong_name":"/.*?belen english.*?/i"})\n',
'mongo_contacts.find({"cong_name":"/.*?belen english.*?/i"}).count()'\
'\n',
'mongo_contacts.find({"cong_name":"Belen English"}).count()\n',
'mongo_contacts.find({"cong_name":"Belen English"}, {cong_name:1,las'\
'tname:1})\n',
'mongo_contacts.find({"cong_name":"Belen English"}, {"cong_name":1,"'\
'lastname":1})\n',
'[c for c in mongo_contacts.find({"cong_name":"Belen English"}, {"co'\
'ng_name":1,"lastname":1})]\n',
'[c for c in mongo_contacts.find({"cong_name":"Belen English"}, {"la'\
'stname":1})]\n',
'import re\n',
'reobj = re.compile("belen english", re.IGNORECASE)\n',
'[c for c in mongo_contacts.find({"cong_name":reobj}, {"lastname":1}'\
')]\n',
'[c for c in mongo_contacts.find({"companyname":"Belen English"}, {"'\
'companyname":1})]\n',
'mongo_contacts.find_one({"companyname":"Belen English"}\n\n)\n',
'mongo_contacts.find_one({"companyname":"Belen English"})\n',
"del contact['cong_tags']\n",
'v\n',
'tokenize(v)\n',
'type(v)\n',
"type(v) == 'str'\n",
'type(v) == string\n',
'type(v) == str\n',
'x = 24345345\n',
'x = 24345.345\n',
'x = 24345343543345345\n',
'type(x)\n',
'type(x) in [str, int, long, float]\n',
'str(x)\n',
"b = ['c','d']\n",
"a = ['a','b']\n",
"a = ['a','b', 'c']\n",
'a += b\n',
'a\n',
'set(a)\n',
'tokens\n',
'type(tokens[0])\n',
'list(tokens)\n',
'[token for token in tokens if len(token) > 1 ]\n',
"sws = ['alguna','alguna','algunas','algunas','alguno','alguno','alg"\
"unos','algunos','alg\xc3\xban','alg\xc3\xban','ambos','ambos','ampl"\
"eamos','ampleamos','ante','ante','antes','antes','aquel','aquel','a"\
"quellas','aquellas','aquellos','aquellos','aqui','aqui','arriba','a"\
"rriba','atras','atras','bajo','bajo','bastante','bastante','bien','"\
"bien','cada','cada','cierta','cierta','ciertas','ciertas','cierto',"\
"'cierto','ciertos','ciertos','como','como','con','con','conseguimos"\
"','conseguimos','conseguir','conseguir','consigo','consigo','consig"\
"ue','consigue','consiguen','consiguen','consigues','consigues','cua"\
"l','cual','cuando','cuando','dentro','dentro','desde','desde','dond"\
"e','donde','dos','dos','el','el','ellas','ellas','ellos','ellos','e"\
"mpleais','empleais','emplean','emplean','emplear','emplear','emplea"\