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[ -0.0035781562328338623, 0.011347530409693718, -0.030228640884160995, -0.03506239503622055, -0.022754007950425148, 0.012485230341553688, -0.002542141592130065, 0.024192344397306442, 0.02605510875582695, 0.01118247490376234, 0.00028037242009304464, -0.043786730617284775, 0.019393960013985634, ...
9
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the article count for today's memoro"}}}}]}}}}], "name": "add_arguments", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def add_arguments(self, parser): parser.add_argument( "-D", "--debug", action="store_true", help="print detailed information about exceptions" ) parser.add_argument( "-u", "--username", metavar="USER", default=os.getenv("INSTAPAPER_USERNAME"), help="Instapaper username to authenticate with via OAuth", ) parser.add_argument( "-p", "--password", metavar="PASS", default=os.getenv("INSTAPAPER_PASSWORD"), help="Instapaper password to authenticate with via OAuth", ) parser.add_argument( "-U", "--user", metavar="USER", default=getpass.getuser(), help="Memoro username to associate Instapaper account with", ) parser.add_argument( "-a", "--associate", action="store_true", help="associate local articles with memoro entries without api call" ) parser.add_argument( "-c", "--article-count", action="store_true", help="perform the article count for today's memoro" )
2
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9
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class PerfTestFactory(object): _pattern_map = [ (re.compile(r'^Dromaeo/'), SingleProcessPerfTest), (re.compile(r'(.+)\.replay$'), ReplayPerfTest), ] @classmethod def create_perf_test(cls, port, test_name, path, test_runner_count=DEFAULT_TEST_RUNNER_COUNT): for (pattern, test_class) in cls._pattern_map: if pattern.match(test_name): return test_class(port, test_name, path, test_runner_count) return PerfTest(port, test_name, path, test_runner_count)
3
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10
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def get_user(self, username): try: self.user = User.objects.get(username=username) except User.DoesNotExist: raise CommandError(f"{username} is not a valid memoro user") # Ensure the user has an associated instapaper account if not hasattr(self.user, "instapaper_account"): InstapaperAccount.objects.create(user=self.user)
4
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10
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{}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "handle_bookmarks", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "crt", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "upd", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "dlt", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "crt", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": " created, "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "upd", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": " updated, "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "dlt", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": " deleted in "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "folder", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "unread"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "archive"}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "folder", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "now", "value": {"_type": "Name", "_fields": {"id": "timezone", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "last_synchronized", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "instapaper_account", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "save", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "instapaper_account", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "debug"}}, "value": {"_type": "Name", "_fields": {"id": "options", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "http_error", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "handle", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
def handle(self, *args, **options): # Get the user associated with the account self.get_user(options["user"]) if options["associate"]: self.associate() return if options["article_count"]: self.article_count() return with http_error(options["debug"]): # Create the Instapaper API client, using cached access tokens if available. self.make_instapaper_client(**options) # Note: ignoring the "starred" folder since this duplicates other folders # TODO: handle other folders for folder in ("unread", "archive"): # Get the have query to reduce the result set returned have = Article.instapaper.have(self.user, folder) bookmarks = self.client.bookmarks( limit=500, folder_id=folder, have=have ) # Handle bookmarks and report the results crt, upd, dlt = self.handle_bookmarks(bookmarks, folder) print(f"{crt} created, {upd} updated, {dlt} deleted in {folder}") self.user.instapaper_account.last_synchronized = timezone.now() self.user.instapaper_account.save()
5
[0.02496105246245861,-0.0019249198958277702,-0.005350145045667887,-0.01911080628633499,-0.0017975354(...TRUNCATED)
13
"{\"_type\": \"Module\", \"_fields\": {\"body\": [{\"_type\": \"FunctionDef\", \"_fields\": {\"args\(...TRUNCATED)
"def associate(self):\n # Go through all articles in any folder that don't have a memo to ass(...TRUNCATED)
6
[0.006481069140136242,-0.020582862198352814,-0.007804911118000746,-0.012743416242301464,0.0295389406(...TRUNCATED)
9
"{\"_type\": \"Module\", \"_fields\": {\"body\": [{\"_type\": \"FunctionDef\", \"_fields\": {\"args\(...TRUNCATED)
"def make_instapaper_client(self, **options):\n # Get cached access credentials if they exist(...TRUNCATED)
7
[0.010137351229786873,-0.027261752635240555,-0.04714420065283775,-0.01630311645567417,0.063104093074(...TRUNCATED)
9
"{\"_type\": \"Module\", \"_fields\": {\"body\": [{\"_type\": \"FunctionDef\", \"_fields\": {\"args\(...TRUNCATED)
"def __exit__(self, etype, value, traceback):\n if value is None:\n return True\n\(...TRUNCATED)
8
[-0.009408784098923206,-0.018505191430449486,-0.03905957564711571,0.011895302683115005,0.04925554618(...TRUNCATED)
10
"{\"_type\": \"Module\", \"_fields\": {\"body\": [{\"_type\": \"ClassDef\", \"_fields\": {\"body\": (...TRUNCATED)
"class http_error(object):\n\n def __init__(self, debug):\n self.debug = debug\n\n def (...TRUNCATED)
9
[0.033640071749687195,-0.032957714051008224,0.027385154739022255,-0.01714983955025673,-0.01428395137(...TRUNCATED)
8
"{\"_type\": \"Module\", \"_fields\": {\"body\": [{\"_type\": \"ClassDef\", \"_fields\": {\"body\": (...TRUNCATED)
"class Note(FieldSet):\n static_size = 8*4\n def createFields(self):\n yield Bits(self,(...TRUNCATED)
10
[0.05360013246536255,-0.011898213997483253,-0.007302859332412481,-0.006557237822562456,0.00925416592(...TRUNCATED)
9
"{\"_type\": \"Module\", \"_fields\": {\"body\": [{\"_type\": \"ClassDef\", \"_fields\": {\"body\": (...TRUNCATED)
"class Row(FieldSet):\n def __init__(self, parent, name, channels, desc=None):\n FieldSet.(...TRUNCATED)
End of preview. Expand in Data Studio

github-embedded

A bunch of python code, gotten from Github, along with a json dump of their ast's and a vector embedding of the code using openai's text-embedding-3-small.
Downloads last month
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
117 GB
Number of rows:
13,592,573