'Instance':\\n opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))\\n\\n __props__ = InstanceArgs.__new__(InstanceArgs)\\n\\n __props__.__dict__[\\\"build\\\"] = None\\n __props__.__dict__[\\\"config\\\"] = None\\n __props__.__dict__[\\\"create_time\\\"] = None\\n __props__.__dict__[\\\"instance_id\\\"] = None\\n __props__.__dict__[\\\"location\\\"] = None\\n __props__.__dict__[\\\"name\\\"] = None\\n __props__.__dict__[\\\"project\\\"] = None\\n __props__.__dict__[\\\"state\\\"] = None\\n __props__.__dict__[\\\"state_message\\\"] = None\\n __props__.__dict__[\\\"update_time\\\"] = None\\n return Instance(resource_name, opts=opts, __props__=__props__)\",\n \"def obj2cli(obj, *, default_type=None):\\n parser = generate_parser_obj(obj, default_type=default_type)\\n\\n def inner(argv=None, exit=True):\\n import sys\\n if argv is None:\\n argv = sys.argv[1:]\\n\\n args = parser.parse_args(argv)\\n # Delete subparser identifier\\n args.__delattr__('{command}')\\n func = args.__getattribute__('{func}')\\n args.__delattr__('{func}')\\n\\n result = apply_namespace(func, args)\\n\\n if result is not None:\\n print(result)\\n if exit: sys.exit(0)\\n\\n return inner\",\n \"def __init__(__self__,\\n resource_name: str,\\n args: InstanceStateArgs,\\n opts: Optional[pulumi.ResourceOptions] = None):\\n ...\",\n \"def __init__(self):\\n self.s3_resource = boto3.resource('s3')\\n self.s3_client = boto3.client('s3')\",\n \"def __init__(__self__,\\n resource_name: str,\\n args: Optional[TargetPoolArgs] = None,\\n opts: Optional[pulumi.ResourceOptions] = None):\\n ...\",\n \"def create_default(cls, enable_auth_key=False):\\n return cls(\\n ops=pwhash.argon2i.OPSLIMIT_SENSITIVE,\\n mem=pwhash.argon2i.MEMLIMIT_SENSITIVE,\\n construct='argon2i',\\n salt_key_enc=utils.random(pwhash.argon2i.SALTBYTES),\\n salt_key_sig=utils.random(pwhash.argon2i.SALTBYTES) if enable_auth_key else b'',\\n key_size_enc=secret.SecretBox.KEY_SIZE,\\n key_size_sig=64 if enable_auth_key else 0\\n )\",\n \"def __init__(__self__,\\n resource_name: str,\\n opts: Optional[pulumi.ResourceOptions] = None,\\n vpc_id: Optional[pulumi.Input[str]] = None,\\n vpc_region: Optional[pulumi.Input[str]] = None,\\n zone_id: Optional[pulumi.Input[str]] = None,\\n __props__=None):\\n ...\",\n \"def __init__(__self__,\\n resource_name: str,\\n opts: Optional[pulumi.ResourceOptions] = None,\\n dry_run: Optional[pulumi.Input[bool]] = None,\\n load_balancer_id: Optional[pulumi.Input[str]] = None,\\n security_group_id: Optional[pulumi.Input[str]] = None,\\n __props__=None):\\n ...\",\n \"def parser() -> any:\\n arg_parser = argparse.ArgumentParser()\\n arg_parser.add_argument('-p', '--provider', choices=['aws', ], required=True, help='provider')\\n arg_parser.add_argument('-t', '--testfile', nargs='+', required=True, help='test file')\\n arg_parser.add_argument('-d', '--definitions', help='custom definitions path')\\n arg_parser.add_argument('-l', '--logfile', help='redirect the output to a log file')\\n arg_parser.add_argument('-s', '--silent', help='do not output results', action='store_true', default=False)\\n arg_parser.add_argument('-o', '--output', help='save the resource info into the specified directory')\\n arg_parser.add_argument('--debug', help='show debug', action='store_true', default=False)\\n return arg_parser.parse_args()\",\n \"def _cli() -> GooeyParser:\\n parser = GooeyParser(description='A template CLI app with optional GUI.')\\n\\n return parser\",\n \"def client() -> botocore.client.BaseClient:\\n global _client\\n if _client is None:\\n endpoint_url = os.environ.get('LOCALSTACK_SNS_URL')\\n # If endpoint_url is None, botocore constructs the default AWS URL\\n _client = boto3.client('sns', endpoint_url=endpoint_url)\\n return _client\",\n \"def __init__(__self__,\\n resource_name: str,\\n opts: Optional[pulumi.ResourceOptions] = None,\\n activation_key: Optional[pulumi.Input[str]] = None,\\n ip_address: Optional[pulumi.Input[str]] = None,\\n name: Optional[pulumi.Input[str]] = None,\\n private_link_endpoint: Optional[pulumi.Input[str]] = None,\\n security_group_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,\\n subnet_arns: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,\\n tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,\\n vpc_endpoint_id: Optional[pulumi.Input[str]] = None,\\n __props__=None):\\n ...\",\n \"def __init__(__self__,\\n resource_name: str,\\n opts: Optional[pulumi.ResourceOptions] = None,\\n config: Optional[pulumi.Input[pulumi.InputType['ConfigArgs']]] = None,\\n instance_id: Optional[pulumi.Input[str]] = None,\\n location: Optional[pulumi.Input[str]] = None,\\n name: Optional[pulumi.Input[str]] = None,\\n project: Optional[pulumi.Input[str]] = None,\\n __props__=None):\\n ...\",\n \"def __init__(__self__,\\n resource_name: str,\\n opts: Optional[pulumi.ResourceOptions] = None,\\n backup_pool: Optional[pulumi.Input[str]] = None,\\n description: Optional[pulumi.Input[str]] = None,\\n failover_ratio: Optional[pulumi.Input[float]] = None,\\n health_checks: Optional[pulumi.Input[str]] = None,\\n instances: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,\\n name: Optional[pulumi.Input[str]] = None,\\n project: Optional[pulumi.Input[str]] = None,\\n region: Optional[pulumi.Input[str]] = None,\\n session_affinity: Optional[pulumi.Input[str]] = None,\\n __props__=None):\\n ...\",\n \"def __init__(self, access_key, secret_key, bucket):\\n # amazon s3 connection\\n self.s3_conn = None\\n self.__set_amazon_s3_service__(access_key, secret_key)\\n\\n # data bucket to be used\\n self.bucket = self.s3_conn.get_bucket(bucket)\",\n \"def __init__(self, service, acces_key, secret_key):\\n \\n self.client = boto3.client(\\n service,\\n aws_access_key_id=acces_key,\\n aws_secret_access_key=secret_key,\\n )\",\n \"def __init__(__self__,\\n resource_name: str,\\n opts: Optional[pulumi.ResourceOptions] = None,\\n client_id: Optional[pulumi.Input[str]] = None,\\n client_secret: Optional[pulumi.Input[str]] = None,\\n description: Optional[pulumi.Input[str]] = None,\\n display_name: Optional[pulumi.Input[str]] = None,\\n metadata_endpoint: Optional[pulumi.Input[str]] = None,\\n opid: Optional[pulumi.Input[str]] = None,\\n resource_group_name: Optional[pulumi.Input[str]] = None,\\n service_name: Optional[pulumi.Input[str]] = None,\\n use_in_api_documentation: Optional[pulumi.Input[bool]] = None,\\n use_in_test_console: Optional[pulumi.Input[bool]] = None,\\n __props__=None):\\n ...\",\n \"def get_aioboto3_version() -> str:\\n try:\\n from aioboto3 import __version__ as version # type: ignore\\n except ImportError:\\n raise RuntimeError(\\\"aioboto3 is not installed\\\")\\n\\n return version\",\n \"def instance(template, name, ami, type, keypair, interfaces,\\n availability_zone=None, user_data=None, placement_group=None, role='unknown', iam_role=None,\\n volume_size=None, tags=None):\\n i = Instance(name, template=template)\\n i.ImageId = ami\\n i.InstanceType = type\\n i.KeyName = Ref(keypair)\\n\\n i.Tags = Tags(Name=aws_name(i.title))\\n if role:\\n i.Tags += Tags(Role=role)\\n\\n if tags:\\n i.Tags += Tags(**tags)\\n\\n if iam_role:\\n if isinstance(iam_role, str):\\n i.IamInstanceProfile = iam_role\\n else:\\n i.DependsOn = iam_role.title\\n i.IamInstanceProfile = Ref(iam_role)\\n\\n if availability_zone:\\n i.AvailabilityZone = availability_zone\\n\\n if placement_group:\\n i.PlacementGroupName = Ref(placement_group)\\n\\n if volume_size:\\n i.BlockDeviceMappings = [\\n BlockDeviceMapping(DeviceName=\\\"/dev/sda1\\\", Ebs=EBSBlockDevice(VolumeSize=volume_size))\\n ]\\n\\n if interfaces:\\n i.NetworkInterfaces = [NetworkInterfaceProperty(DeviceIndex=index,\\n NetworkInterfaceId=Ref(interface))\\n for (index, interface) in enumerate(interfaces)]\\n\\n if user_data:\\n i.UserData = Base64(Join('', [line + '\\\\n' for line in user_data.splitlines()]))\\n\\n return i\",\n \"def get_conn():\\n global S3Conn\\n\\n S3Conn = tinys3.Connection(plug.options['aws_access_key'],\\n plug.options['aws_secret_key'],\\n default_bucket=plug.options['bucket'], tls=True)\\n # Check that the given bucket exists by doing a HEAD request\\n try:\\n S3Conn.head_bucket()\\n except requests.HTTPError as httpe:\\n err = u\\\"Cannot reach Onitu bucket {}\\\".format(plug.options['bucket'])\\n if httpe.response.status_code == 404:\\n err += u\\\": The bucket doesn't exist.\\\"\\n if httpe.response.status_code == 403:\\n err += u\\\": Invalid credentials.\\\"\\n err += u\\\" Please check your Amazon S3 configuration - {}\\\".format(httpe)\\n raise DriverError(err)\\n plug.logger.debug(\\\"Connection with Amazon S3 account successful\\\")\\n return S3Conn\",\n \"def run_aws_cli_command(*args: str):\\n cli_driver = create_clidriver()\\n\\n f_stderr = io.StringIO()\\n with redirect_stderr(f_stderr):\\n return_code = cli_driver.main(args=args)\\n\\n stderr = f_stderr.getvalue()\\n f_stderr.close()\\n\\n if return_code:\\n raise AWSCLIException(args=args, error_code=return_code, stderr=stderr)\",\n \"def __init__(__self__,\\n resource_name: str,\\n args: PrivateCloudArgs,\\n opts: Optional[pulumi.ResourceOptions] = None):\\n ...\",\n \"def get_s3_client():\\n return boto3.resource('s3')\",\n \"def get_client(self, service, region, account):\\n\\n client = AwsApi.CLIENTS_CACHE.get((service, region, account))\\n if client:\\n return client # from cache\\n\\n if region == '*':\\n eprint(\\\"warn: unknown region ('*'), using the default ('{}')\\\", self.default_region)\\n region = self.default_region\\n\\n if account == '*':\\n eprint(\\\"warn: unknown account ('*'), using default session\\\")\\n client = self.session.client(\\n service,\\n region_name=region\\n )\\n elif account == self.default_account:\\n client = self.session.client(\\n service,\\n region_name=region\\n )\\n elif self.args.no_input:\\n eprint(\\\"warn: unknown account ('{}') and --no-input set, using default session\\\", account)\\n client = self.session.client(\\n service,\\n region_name=region\\n )\\n else:\\n account_config = self.config.setdefault('aws', {}).setdefault('accounts', {}).setdefault(account, {})\\n if not 'profile' in account_config:\\n account_config['profile'] = input(\\\"Enter configured AWS profile for {}: \\\".format(account))\\n client = boto3.Session(profile_name=account_config['profile']).client(service, region_name=region)\\n\\n AwsApi.CLIENTS_CACHE[(service, region, account)] = client\\n return client\",\n \"def inst(cls):\\n if cls.instance is None:\\n raise OptionsError(\\\"No options have been set\\\")\\n return cls.instance\",\n \"def get_aiobotocore_version() -> str:\\n try:\\n from aiobotocore import __version__ as version # type: ignore\\n except ImportError:\\n raise RuntimeError(\\\"aiobotocore is not installed\\\")\\n return version\",\n \"def main(input_args):\\n logging.basicConfig(level=logging.INFO)\\n parser = argparse.ArgumentParser()\\n parser.add_argument(\\n '--create-ami', action='store_true',\\n default=False,\\n help='Creates an AMI instead of deploying an EC2 instance')\\n parser.add_argument(\\n '--dry-run', action='store_true',\\n default=False,\\n help='Do not create resources')\\n parser.add_argument(\\n '--include-apps', action='append',\\n default=[],\\n help='Assume other apps have already been deployed')\\n parser.add_argument(\\n '--local-docker', action='store_true',\\n default=False,\\n help='Start apps using the docker daemon on the machine'\\\\\\n' executing the script')\\n parser.add_argument(\\n '--skip-create-network', action='store_true',\\n default=False,\\n help='Assume network resources have already been provisioned')\\n parser.add_argument(\\n '--prefix', action='store',\\n default=None,\\n help='prefix used to tag the resources created'\\\\\\n ' (defaults to config name)')\\n parser.add_argument(\\n '--config', action='store',\\n default=os.path.join(os.getenv('HOME'), '.aws', APP_NAME),\\n help='configuration file')\\n\\n args = parser.parse_args(input_args[1:])\\n run_config(args.config,\\n create_ami=args.create_ami,\\n local_docker=args.local_docker,\\n include_apps=args.include_apps,\\n skip_create_network=args.skip_create_network,\\n tag_prefix=args.prefix,\\n dry_run=args.dry_run)\",\n \"def __init__(self, repo_config: Repository, s3_client: Client, s3_bucket: str):\\n self.repo_config = repo_config\\n self.s3_client = s3_client\\n self.s3_bucket = s3_bucket\",\n \"def __init__(self, *, bucket_arn: typing.Optional[str]=None, bucket_domain_name: typing.Optional[str]=None, bucket_dual_stack_domain_name: typing.Optional[str]=None, bucket_name: typing.Optional[str]=None, bucket_regional_domain_name: typing.Optional[str]=None, bucket_website_new_url_format: typing.Optional[bool]=None, bucket_website_url: typing.Optional[str]=None, encryption_key: typing.Optional[aws_cdk.aws_kms.IKey]=None):\\n self._values = {\\n }\\n if bucket_arn is not None: self._values[\\\"bucket_arn\\\"] = bucket_arn\\n if bucket_domain_name is not None: self._values[\\\"bucket_domain_name\\\"] = bucket_domain_name\\n if bucket_dual_stack_domain_name is not None: self._values[\\\"bucket_dual_stack_domain_name\\\"] = bucket_dual_stack_domain_name\\n if bucket_name is not None: self._values[\\\"bucket_name\\\"] = bucket_name\\n if bucket_regional_domain_name is not None: self._values[\\\"bucket_regional_domain_name\\\"] = bucket_regional_domain_name\\n if bucket_website_new_url_format is not None: self._values[\\\"bucket_website_new_url_format\\\"] = bucket_website_new_url_format\\n if bucket_website_url is not None: self._values[\\\"bucket_website_url\\\"] = bucket_website_url\\n if encryption_key is not None: self._values[\\\"encryption_key\\\"] = encryption_key\",\n \"def get_instance_output(instance: Optional[pulumi.Input[str]] = None,\\n project: Optional[pulumi.Input[Optional[str]]] = None,\\n opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetInstanceResult]:\\n ...\",\n \"def get(resource_name: str,\\n id: pulumi.Input[str],\\n opts: Optional[pulumi.ResourceOptions] = None) -> 'Instance':\\n opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))\\n\\n __props__ = InstanceArgs.__new__(InstanceArgs)\\n\\n __props__.__dict__[\\\"create_time\\\"] = None\\n __props__.__dict__[\\\"description\\\"] = None\\n __props__.__dict__[\\\"etag\\\"] = None\\n __props__.__dict__[\\\"file_shares\\\"] = None\\n __props__.__dict__[\\\"instance_id\\\"] = None\\n __props__.__dict__[\\\"kms_key_name\\\"] = None\\n __props__.__dict__[\\\"labels\\\"] = None\\n __props__.__dict__[\\\"location\\\"] = None\\n __props__.__dict__[\\\"name\\\"] = None\\n __props__.__dict__[\\\"networks\\\"] = None\\n __props__.__dict__[\\\"project\\\"] = None\\n __props__.__dict__[\\\"satisfies_pzs\\\"] = None\\n __props__.__dict__[\\\"state\\\"] = None\\n __props__.__dict__[\\\"status_message\\\"] = None\\n __props__.__dict__[\\\"suspension_reasons\\\"] = None\\n __props__.__dict__[\\\"tier\\\"] = None\\n return Instance(resource_name, opts=opts, __props__=__props__)\",\n \"def __init__(__self__,\\n resource_name: str,\\n args: ScriptArgs,\\n opts: Optional[pulumi.ResourceOptions] = None):\\n ...\",\n \"def _get_client(self):\\n try:\\n client = boto3_cached_conn(\\n 'iam', **self.conn_details)\\n\\n if not client:\\n raise ValueError(f\\\"boto3_cached_conn returned null IAM client for {self.account_number}\\\")\\n\\n return client\\n\\n except Exception as e:\\n self.on_failure.send(self, error=e)\\n self.current_app.logger.exception(f\\\"Failed to obtain boto3 IAM client for account {self.account_number}.\\\", exc_info=False)\\n raise e\",\n \"def __init__(self, memory=4000):\\n self.session = boto3.Session()\\n self.batch_client = self.session.client(\\\"batch\\\")\\n self.logs_client = self.session.client(\\\"logs\\\")\\n self.memory = memory\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.7120333","0.6446755","0.53901947","0.53732514","0.5315737","0.5265874","0.5252197","0.522644","0.5211605","0.521066","0.5205573","0.51422757","0.5054793","0.5037921","0.5032993","0.50301266","0.49558958","0.49513885","0.49364442","0.491438","0.49119216","0.4907558","0.489213","0.4874849","0.4851639","0.4844455","0.48054138","0.4789765","0.4789765","0.4789765","0.4789765","0.4789765","0.4789765","0.47881734","0.47684053","0.47539365","0.4737932","0.47308198","0.47287837","0.47197443","0.47185835","0.4707916","0.47066557","0.47034925","0.46905604","0.46754158","0.46685168","0.4661828","0.46455577","0.464419","0.46405876","0.46401554","0.46376687","0.46296415","0.4619123","0.46158692","0.46132213","0.4608563","0.45948526","0.45945263","0.45845377","0.45830134","0.4581225","0.45794705","0.4571589","0.4569982","0.4554279","0.45537245","0.45505232","0.45489034","0.45402887","0.4525247","0.45219898","0.45201105","0.45171505","0.45103744","0.4507734","0.450612","0.45056474","0.45036888","0.45019367","0.4496425","0.4495108","0.4488137","0.44842175","0.44781047","0.44750515","0.44725975","0.44661596","0.4465723","0.44657084","0.44620863","0.44602564","0.44576785","0.44568756","0.44513473","0.444346","0.44392583","0.44346994","0.4433661"],"string":"[\n \"0.7120333\",\n \"0.6446755\",\n \"0.53901947\",\n \"0.53732514\",\n \"0.5315737\",\n \"0.5265874\",\n \"0.5252197\",\n \"0.522644\",\n \"0.5211605\",\n \"0.521066\",\n \"0.5205573\",\n \"0.51422757\",\n \"0.5054793\",\n \"0.5037921\",\n \"0.5032993\",\n \"0.50301266\",\n \"0.49558958\",\n \"0.49513885\",\n \"0.49364442\",\n \"0.491438\",\n \"0.49119216\",\n \"0.4907558\",\n \"0.489213\",\n \"0.4874849\",\n \"0.4851639\",\n \"0.4844455\",\n \"0.48054138\",\n \"0.4789765\",\n \"0.4789765\",\n \"0.4789765\",\n \"0.4789765\",\n \"0.4789765\",\n \"0.4789765\",\n \"0.47881734\",\n \"0.47684053\",\n \"0.47539365\",\n \"0.4737932\",\n \"0.47308198\",\n \"0.47287837\",\n \"0.47197443\",\n \"0.47185835\",\n \"0.4707916\",\n \"0.47066557\",\n \"0.47034925\",\n \"0.46905604\",\n \"0.46754158\",\n \"0.46685168\",\n \"0.4661828\",\n \"0.46455577\",\n \"0.464419\",\n \"0.46405876\",\n \"0.46401554\",\n \"0.46376687\",\n \"0.46296415\",\n \"0.4619123\",\n \"0.46158692\",\n \"0.46132213\",\n \"0.4608563\",\n \"0.45948526\",\n \"0.45945263\",\n \"0.45845377\",\n \"0.45830134\",\n \"0.4581225\",\n \"0.45794705\",\n \"0.4571589\",\n \"0.4569982\",\n \"0.4554279\",\n \"0.45537245\",\n \"0.45505232\",\n \"0.45489034\",\n \"0.45402887\",\n \"0.4525247\",\n \"0.45219898\",\n \"0.45201105\",\n \"0.45171505\",\n \"0.45103744\",\n \"0.4507734\",\n \"0.450612\",\n \"0.45056474\",\n \"0.45036888\",\n \"0.45019367\",\n \"0.4496425\",\n \"0.4495108\",\n \"0.4488137\",\n \"0.44842175\",\n \"0.44781047\",\n \"0.44750515\",\n \"0.44725975\",\n \"0.44661596\",\n \"0.4465723\",\n \"0.44657084\",\n \"0.44620863\",\n \"0.44602564\",\n \"0.44576785\",\n \"0.44568756\",\n \"0.44513473\",\n \"0.444346\",\n \"0.44392583\",\n \"0.44346994\",\n \"0.4433661\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.81121886"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":1792,"cells":{"query":{"kind":"string","value":"Return a usable Boto3 object without creating a class around it. In the context of a krux.cli (or similar) interface the 'args', 'logger' and 'stats' objects should already be present. If you don't have them, however, we'll attempt to provide usable ones for the boto setup. (If you omit the add_boto_cli_arguments() call during other cli setup, the Boto object will still work, but its cli options won't show up in help output)"},"document":{"kind":"string","value":"def get_boto3(args=None, logger=None, stats=None):\n return Boto3(**__get_arguments(args, logger, stats))"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def get_boto(args=None, logger=None, stats=None):\n return Boto(**__get_arguments(args, logger, stats))","def __get_arguments(args=None, logger=None, stats=None):\n\n if not args:\n parser = get_parser()\n add_boto_cli_arguments(parser)\n # Parse only the known arguments added by add_boto_cli_arguments().\n # We only need those arguments to create Boto object, nothing else.\n # parse_known_args() return (Namespace, list of unknown arguments),\n # we only care about the Namespace object here.\n args = parser.parse_known_args()[0]\n\n if not logger:\n logger = get_logger(name=NAME)\n\n if not stats:\n stats = get_stats(prefix=NAME)\n\n return {\n 'log_level': getattr(args, 'boto_log_level', DEFAULT['log_level']()),\n 'access_key': getattr(args, 'boto_access_key', DEFAULT['access_key']()),\n 'secret_key': getattr(args, 'boto_secret_key', DEFAULT['secret_key']()),\n 'region': getattr(args, 'boto_region', DEFAULT['region']()),\n 'logger': logger,\n 'stats': stats,\n }","def get_boto_client(self) -> S3Client:\n if self._boto_client is None:\n config = Config(signature_version=botocore.UNSIGNED)\n self._boto_client = self.session.client(\n \"s3\",\n region_name=settings.S3_REGION,\n endpoint_url=settings.S3_ENDPOINT_URL,\n config=config,\n )\n return self._boto_client","def client() -> botocore.client.BaseClient:\n global _client\n if _client is None:\n endpoint_url = os.environ.get('LOCALSTACK_S3_URL')\n # If endpoint_url is None, botocore constructs the default AWS URL\n _client = boto3.client('s3', endpoint_url=endpoint_url)\n return _client","def main():\n\n parser = get_args()\n args = parser.parse_args()\n\n if args.verbose:\n LOG.setLevel(logging.INFO)\n LOG.info('Verbose: on')\n else:\n ## If not verbose, turn down boto3.\n boto3.set_stream_logger(name='boto3', level=logging.WARNING)\n boto3.set_stream_logger(name='botocore', level=logging.WARNING)\n logging.getLogger(\"requests\").setLevel(logging.WARNING)\n\n ## Ensure credentials.\n if not args.credentials:\n die_screaming('need a credentials argument')\n LOG.info('Will use credentials: ' + args.credentials)\n ## Ensure directory.\n if not args.directory:\n die_screaming('need a directory argument')\n args.directory = args.directory.rstrip('//')\n LOG.info('Will operate in: ' + args.directory)\n ## Ensure bucket.\n if not args.bucket:\n die_screaming('need a bucket argument')\n bucket, slash, toppath = args.bucket.partition('/')\n if toppath != '':\n LOG.info('Will put to bucket: ' + bucket + '; with path: ' + toppath)\n else:\n LOG.info('Will put to bucket at top level: ' + bucket)\n ## Ensure mimetype metadata.\n if not args.mimetypes:\n LOG.info('Will use internal mimetype defaults')\n else:\n LOG.info('TODO: Will get mimetype metadata from: ' + args.metadata)\n ## Ensure bucket location.\n if not args.location:\n args.location = 'us-east-1'\n LOG.info('Will use S3 bucket location default: ' + args.location)\n else:\n LOG.info('Will use S3 bucket location: ' + args.location)\n\n ## Extract S3 credentials.\n creds = None\n with open(args.credentials) as chandle:\n creds = json.loads(chandle.read())\n #LOG.info(creds)\n\n s3 = boto3.resource('s3', region_name=args.location,\n aws_access_key_id=creds['accessKeyId'],\n aws_secret_access_key=creds['secretAccessKey'])\n\n # s3 = boto3.resource(\"s3\", creds['accessKeyId'], creds['secretAccessKey'])\n\n #s3.Object('mybucket', 'hello.txt').put(Body=open('/tmp/hello.txt', 'rb'))\n\n ## Walk tree.\n for curr_dir, dirs, files in os.walk(args.directory):\n\n ## We can navigate up if we are not in the root.\n relative_to_start = curr_dir.rstrip('//')[len(args.directory):]\n relative_to_start = relative_to_start.lstrip('//')\n LOG.info('curr_dir: ' + curr_dir + ' (' + relative_to_start + ')')\n\n ## Note files and directories.\n for fname in files:\n\n ## Get correct mime type.\n fext = os.path.splitext(fname)[1].lstrip('.')\n mime = MIMES.get('') # start with default\n if MIMES.get(fext, False):\n mime = MIMES.get(fext)\n\n ## Figure out S3 path/key and final filename, keeping in\n ## mind that relative_to_Start can be empty if root.\n s3path = fname\n if relative_to_start:\n s3path = relative_to_start + '/' + fname\n filename = os.path.join(curr_dir, fname)\n\n tags = {}\n if args.number:\n tags['build-number'] = args.number\n if args.pipeline:\n tags['build-pipeline'] = args.pipeline\n tags_str = urllib.parse.urlencode(tags)\n\n ## Visual check.\n LOG.info('file: ' + filename)\n if toppath != '':\n s3path = toppath + '/' + s3path\n LOG.info(' -> [' + bucket + '] ' + s3path + \\\n '(' + mime + ', ' + tags_str + ')')\n\n ## Create the new object that we want.\n s3bucket = s3.Bucket(bucket)\n multipart_upload(filename, s3bucket, s3path, content_type=mime, metadata=tags, policy=\"public-read\")\n\n # newobj = s3.Object(args.bucket, s3path)\n # outfile = open(filename, 'rb')\n # newobj.put(Body=outfile, \\\n # ContentType=mime, \\\n # Metadata=tags,\n # ACL='public-read') #Tagging=tags_str)\n\n # outbod = open(os.path.join(curr_dir, fname), 'rb')\n # .put(Body=outbod, 'rb')\n\n # for dname in dirs:\n # #LOG.info('dir: ' + os.path.join(curr_dir, dname))\n # pass","def get_s3_client(args: argparse.Namespace) -> botocore.clients.s3:\n\n assert args.s3_region_name is not None, \"set COMPSYN_S3_REGION_NAME\"\n assert args.s3_access_key_id is not None, \"set COMPSYN_S3_ACCESS_KEY_ID\"\n assert args.s3_secret_access_key is not None, \"set COMPSYN_S3_SECRET_ACCESS_KEY\"\n assert args.s3_bucket is not None, \"set COMPSYN_S3_BUCKET\"\n\n return boto3.session.Session().client(\n \"s3\",\n region_name=args.s3_region_name,\n endpoint_url=args.s3_endpoint_url,\n aws_access_key_id=args.s3_access_key_id,\n aws_secret_access_key=args.s3_secret_access_key,\n )","def aws_cli(args: List[str]):\n\n try:\n text_output = subprocess.check_output(['aws'] + args, text=True)\n except subprocess.CalledProcessError as e:\n raise Exception(f\"failed to call AWS CLI ({e.returncode}): \\n{e.stdout}\\n\\n{e.stderr}\") from e\n\n try:\n json_obj = json.loads(text_output)\n except json.JSONDecodeError as e:\n raise Exception(f\"AWS CLI did not output JSON as expected ({e.msg}). Output was:\\n{text_output}\") from e\n\n return json_obj","def create_boto3_client(config, service):\n session = boto3.Session(profile_name=config.get('AWS_ACCESS', 'AWS_PROFILE'))\n return session.client(service, region_name=config.get('AWS_ACCESS', 'AWS_REGION'))","def bcbio_s3_instance_profile(conn, args):\n import boto\n if hasattr(args, \"nocreate\") and args.nocreate:\n return {\"instance_profile\": \"\"}\n base_name = args.cluster if hasattr(args, \"cluster\") and args.cluster else \"bcbio\"\n name = \"%s_full_s3_access\" % (base_name)\n try:\n ip = conn.get_instance_profile(name)\n except boto.exception.BotoServerError:\n print(\"Instance profile %s doesn't exist, creating\" % name)\n ip = conn.create_instance_profile(name)\n try:\n conn.get_role(name)\n except boto.exception.BotoServerError:\n print(\"Role %s doesn't exist, creating\" % name)\n conn.create_role(name)\n conn.put_role_policy(name, name, S3_POLICY)\n if not tz.get_in([\"get_instance_profile_response\", \"get_instance_profile_result\", \"instance_profile\", \"roles\"],\n ip):\n conn.add_role_to_instance_profile(name, name)\n print(\"Instance profile: %s\" % name)\n return {\"instance_profile\": name}","def get_aioboto3_version() -> str:\n try:\n from aioboto3 import __version__ as version # type: ignore\n except ImportError:\n raise RuntimeError(\"aioboto3 is not installed\")\n\n return version","def get_s3_client():\n return boto3.resource('s3')","def _aws_get_object(bucket, key, request_pays=True, client=None):\n if not client:\n session = boto3_session(region_name=REGION)\n client = session.client(\"s3\")\n\n params = {\"Bucket\": bucket, \"Key\": key}\n if request_pays:\n params[\"RequestPayer\"] = \"requester\"\n response = client.get_object(**params)\n return response[\"Body\"].read()","def main():\n t0 = time.time()\n parser = argparse.ArgumentParser()\n parser.add_argument('-e', '--env', default='LOCAL', help='Enter one of DOCKER, LOCAL or S3')\n parser.add_argument('--bucket-name', help='Enter S3 bucket')\n parser.add_argument('--aws-access-key-id', help='Enter AWS access key id')\n parser.add_argument('--aws-secret-access-key', help='Enter AWS secrest access key')\n parser.add_argument('--aws-region', default='us-west-2', help='Enter AWS region')\n # subparser = parser.add_subparsers(dest='subcommand', help='Can choose bucket name if S3 is chosen')\n # parser_bucket = subparser.add_parser('S3')\n # parser_bucket.add_argument('bucket', help='S3 bucket name')\n args = vars(parser.parse_args())\n args['env'] = args['env'].upper()\n if args['env'] != 'S3' and args['bucket_name']:\n parser.error('Can specify a bucket name with only S3...')\n if args['env'] == 'S3' and not (args['bucket_name'] and \n args['aws_access_key_id'] and\n args['aws_secret_access_key']):\n parser.error('Specify a bucket, access key and secret access key...')\n # print(args)\n # print(args['env'])\n # print(args['subcommand'])\n\n if args['env'] == 'S3' and args['aws_region'] != '':\n s3_client = create_client(\n \"s3\",\n region=args['aws_region'],\n access_key_id=args['aws_access_key_id'],\n secret_access_key=args['aws_secret_access_key']\n )\n os.environ['AWS_ACCESS_KEY_ID'] = args['aws_access_key_id'].strip()\n os.environ['AWS_SECRET_ACCESS_KEY'] = args['aws_secret_access_key'].strip()\n logger.info('Check to see whether s3 bucket exits...')\n try:\n s3.meta.client.head_bucket(Bucket=args['bucket_name'])\n logger.info(f\"S3 bucket {args['bucket_name']} exits...\")\n except Exception as e:\n logger.warn(f\"Bucket {args['bucket_name']} doesn't exist...\")\n logger.info('Creating bucket...')\n create_s3_bucket(s3_client, args['bucket_name'], args['aws_region'])\n\n\n config = configparser.ConfigParser()\n if args['env'] == 'DOCKER':\n CFG_FILE = r'/usr/local/airflow/config/etl_config.cfg'\n try:\n config.read(CFG_FILE)\n except Exception as e:\n print('Configuration file is missing or cannot be read...')\n raise\n elif args['env'] == 'S3':\n obj = s3_client.get_object(Bucket=args['bucket_name'], Key='config/etl_config.cfg')\n try:\n config.read_string(obj['Body'].read().decode())\n except Exception as e:\n print('Configuration file is missing or cannot be read...')\n raise\n else:\n CFG_FILE = r'/Users/home/Documents/dend/Data-Engineering-ND/Capstone/config/etl_config.cfg'\n try:\n config.read(CFG_FILE)\n except Exception as e:\n print('Configuration file is missing or cannot be read...')\n raise\n\n sas_jar_ver = config['APP']['sas_jar_ver']\n os.environ['SAS_JAR'] = \".\".join(sas_jar_ver.split('.')[:-1])\n\n if args['env'] == 'DOCKER':\n base_dir = config['DOCKER']['base_dir']\n data_dir = config['DOCKER']['data_dir']\n path = config['DOCKER']['sas_data_dir']\n sas_file_path = os.path.join(base_dir, data_dir, path)\n dict_dir = config['DOCKER']['dict_dir']\n files = json.loads(config['DOCKER']['input_files'])\n airport_file = os.path.join(base_dir, data_dir, config['DOCKER']['airports_file'])\n demographic_file = os.path.join(base_dir, data_dir, config['DOCKER']['us_demographics_file'])\n dictionary_file = os.path.join(base_dir, dict_dir, config['DOCKER']['dictionary_file'])\n output_dir = os.path.join(base_dir, config['DOCKER']['output_dir'])\n log_dir = os.path.join(base_dir, config['LOCAL']['log_dir'])\n log_file = config['LOCAL']['log_file']\n elif args['env'] == 'S3':\n bucket = args['bucket_name']\n path = config['S3']['s3_sas_key']\n dict_dir = config['S3']['s3_dict_key']\n csv_dir = config['S3']['s3_csv_key']\n sas_file_path = os.path.join(\"s3a://\", bucket, csv_dir, path)\n files = json.loads(config['S3']['input_files'])\n airport_file = os.path.join(\"s3a://\", bucket, csv_dir, config['S3']['airports_file'])\n demographic_file = os.path.join(\"s3a://\", bucket, csv_dir, config['S3']['us_demographics_file'])\n dictionary_file = os.path.join(\"s3a://\", bucket, config['S3']['dictionary_file'])\n output_dir = os.path.join(\"s3a://\", bucket, config['S3']['output_dir'])\n else:\n base_dir = config['LOCAL']['base_dir']\n data_dir = config['LOCAL']['data_dir']\n path = config['LOCAL']['sas_data_dir']\n sas_file_path = os.path.join(base_dir, data_dir, path)\n dict_dir = config['LOCAL']['dict_dir']\n files = json.loads(config['LOCAL']['input_files'])\n airport_file = os.path.join(base_dir, data_dir, config['LOCAL']['airports_file'])\n demographic_file = os.path.join(base_dir, data_dir, config['LOCAL']['us_demographics_file'])\n dictionary_file = os.path.join(base_dir, dict_dir, config['LOCAL']['dictionary_file'])\n output_dir = os.path.join(base_dir, config['LOCAL']['output_dir'])\n log_dir = os.path.join(base_dir, config['LOCAL']['log_dir'])\n log_file = config['LOCAL']['log_file']\n \n try:\n # Log file written to Hadoop EMR env\n base_dir = config['HADOOP']['base_dir']\n log_dir = os.path.join(base_dir, config['HADOOP']['log_dir'])\n log_file = config['HADOOP']['log_file']\n pathlib.Path(log_dir).mkdir(exist_ok=True)\n file_handler = enable_logging(log_dir, log_file)\n logger.addHandler(file_handler)\n print(\"Create log dir if it doesn't exist...\")\n except:\n base_dir = config['LOCAL']['base_dir']\n log_dir = os.path.join(base_dir, config['LOCAL']['log_dir'])\n log_file = config['LOCAL']['log_file']\n pathlib.Path(log_dir).mkdir(exist_ok=True)\n file_handler = enable_logging(log_dir, log_file)\n logger.addHandler(file_handler)\n print(\"Create log dir if it doesn't exist...\")\n\n\n logger.info('ETL parsing has started...')\n logger.info(\"Create output dir if it doesn't exist...\")\n if args['env'] != 'S3':\n pathlib.Path(output_dir).mkdir(exist_ok=True)\n else:\n # config.set('S3', 's3_bucket_name', args['bucket_name'])\n # s3_client.put_object(Bucket=args['bucket_name'], Key=config['S3']['config_dir'], Body=)\n s3_client.put_object(Bucket=args['bucket_name'], Key=config['S3']['output_dir'])\n logger.info('Created S3 bucket...')\n \n spark = create_spark_session()\n logger.info('Pyspark session created...')\n logger.info('Register UDFs...')\n \n spark.udf.register('SASDateConverter', sas_date_converter, Date())\n logger.info('Register sas_date_converter UDF...')\n\n # change_date_format_1 = F.udf(lambda x: datetime.strptime(x.strip(), '%Y%m%d'), Date())\n # change_date_format_2 = F.udf(lambda x: datetime.strptime(x.strip(), '%m%d%Y'), Date())\n dt = F.udf(change_date_format, Date())\n\n logger.info('Read and concatenate the raw SAS files...')\n dfs = []\n for file in files:\n try:\n df = spark.read.format('com.github.saurfang.sas.spark')\\\n .load(os.path.join(sas_file_path, file))\n dfs.append(df)\n except Exception as e:\n logger.info(f'File {file} is not available. Skipping...')\n logger.info(f'Read {len(files)} files successfully...')\n df = []\n if len(dfs) > 0:\n df = concat_df(*dfs)\n logger.info(f'Successfully concatenated {len(files)}...')\n if not isinstance(df, list):\n # SAS raw data table creation begins here\n cols = ['cicid', 'i94yr', 'i94mon', 'i94port', 'i94mode', 'visapost', \n 'entdepa', 'entdepd', 'entdepu', 'matflag', \n 'dtadfile', 'dtaddto']\n parquet_tables = ['i94_immigrations', 'i94_trips', 'i94_visitors', 'i94_flights']\n f_transforms = [i94_immigrations, i94_trips, i94_visitors, i94_flights]\n res_df = None\n for table, f_transform in zip(parquet_tables, f_transforms):\n if table == 'i94_immigrations':\n # only table not using spark sql\n res_df = create_and_write_df(df, table, f_transform, \n output_dir,\n spark=None, cols=cols,\n udf=dt, fmt='parquet',\n is_partition=True,\n is_overwrite=True,\n crate_date_df=False)\n elif table == 'i94_flights':\n res_df = create_and_write_df(df, table, f_transform, \n output_dir,\n spark=spark, cols=None,\n udf=None, fmt='csv',\n is_partition=False,\n is_overwrite=True,\n crate_date_df=False)\n else:\n res_df = create_and_write_df(df, table, f_transform, \n output_dir,\n spark=spark, cols=None,\n udf=None, fmt='parquet',\n is_partition=True,\n is_overwrite=True,\n crate_date_df=False)\n\n if table == 'i94_trips':\n table = 'i94_dates'\n create_and_write_df(res_df, table, i94_dates, \n output_dir,\n spark=spark, cols=None,\n udf=None, fmt='parquet',\n is_partition=True,\n is_overwrite=True,\n crate_date_df=False)\n\n # Reference data for airports and us city demographics begins here\n airport_df = spark.createDataFrame([], R([]))\n demographic_df = spark.createDataFrame([], R([]))\n logger.info('Read the airports reference file...')\n try:\n airport_df = spark.read.option('header', True) \\\n .csv(airport_file)\n except Exception as e:\n logger.error(f'File {airport_file} is not available. Skipping...')\n\n logger.info('Read the US demographics reference file...')\n try:\n demographic_df = spark.read.options(header='True', delimiter=';') \\\n .csv(demographic_file) \n except Exception as e:\n logger.error(f'File {demographic_file} is not available. Skipping...')\n if airport_df.count() > 0 and demographic_df.count() > 0: \n csv_tables = ['i94_airports', 'i94_us_states_demographic', \n 'i94_us_cities_demographic']\n f_transforms = [i94_airports, i94_us_states_demographic, i94_us_cities_demographic]\n csv_dfs = [airport_df, demographic_df, demographic_df]\n for table, f_transform, df in zip(csv_tables, f_transforms, csv_dfs):\n res_df = create_and_write_df(df, table, f_transform, \n output_dir,\n spark=spark, cols=None,\n udf=dt, fmt='csv',\n is_partition=False,\n is_overwrite=True)\n\n # SAS reference data creation begins here\n ref_csv_tables = ['i94_countries', 'i94_port_state_mapping', 'i94_travel_mode', \n 'i94_state_mapping', 'i94_visa']\n table_pos_dict = {\n 'i94_countries': [2, 3, 'country', 'country_id'],\n 'i94_port_state_mapping': [3, 4, 'city', 'i94_port'],\n 'i94_travel_mode': [4, 5, 'mode', 'mode_id'],\n 'i94_state_mapping': [5, 6, 'state', 'state_id'],\n 'i94_visa': [6, 7, 'visa_purpose', 'visa_id']\n }\n logger.info('Read the SAS data dictionary reference file...') \n for table in ref_csv_tables:\n create_and_write_ref_df(dictionary_file, table, output_dir, spark, \n fmt='csv', start_pos=table_pos_dict[table][0], \n end_pos=table_pos_dict[table][1],\n col_name=table_pos_dict[table][2], \n index_name=table_pos_dict[table][3],\n is_partition=False,\n is_overwrite=True)\n\n logger.info('ETL parsing has completed...')\n logger.info('Time taken to complete job {} minutes'.format((time.time() - t0) / 60))","def __init__(self, bucket, aws_profile=None, logger=None):\n self.bucket = bucket\n self.s3helper = S3Helper(aws_profile=aws_profile)\n self.print_func = print\n if logger:\n self.print_func = logger.info","def get_s3_args(\n parser: Optional[argparse.ArgumentParser] = None,\n) -> argparse.ArgumentParser:\n\n if parser is None:\n parser = argparse.ArgumentParser()\n\n s3_parser = parser.add_argument_group(\"s3\")\n\n s3_parser.add_argument(\n \"--s3-bucket\",\n type=str,\n action=env_default(\"COMPSYN_S3_BUCKET\"),\n required=False,\n help=\"bucket where img data is stored in S3\",\n )\n s3_parser.add_argument(\n \"--s3-region-name\",\n type=str,\n required=False,\n action=env_default(\"COMPSYN_S3_REGION_NAME\"),\n help=\"S3 region\",\n )\n s3_parser.add_argument(\n \"--s3-endpoint-url\",\n action=env_default(\"COMPSYN_S3_ENDPOINT_URL\"),\n required=False,\n help=\"S3 endpoint URL (only required for non-AWS S3)\",\n )\n s3_parser.add_argument(\n \"--s3-access-key-id\",\n type=str,\n action=env_default(\"COMPSYN_S3_ACCESS_KEY_ID\"),\n required=False,\n )\n s3_parser.add_argument(\n \"--s3-secret-access-key\",\n type=str,\n action=env_default(\"COMPSYN_S3_SECRET_ACCESS_KEY\"),\n required=False,\n )\n\n return parser","def __init__(\n self,\n service_name: str,\n account_id: str,\n region_name: Optional[str] = None,\n aws_creds: Optional[Dict[str, str]] = None,\n profile_name: Optional[str] = None,\n placebo: Optional[Any] = None,\n placebo_data_path: Optional[str] = None,\n placebo_mode: Optional[str] = \"record\",\n max_attempts: int = 20,\n config: Optional[Config] = None,\n max_attempts_on_client_error: int = 10,\n ):\n self._service_name = service_name\n self._region_name = region_name\n self._account_id = account_id\n self._max_attempts_on_client_error = max_attempts_on_client_error\n\n # Build a clojure in order to recreate boto3 client if needed\n\n def _create_client(service: str = None):\n return get_client(\n session=get_session(\n aws_creds=aws_creds,\n profile_name=profile_name,\n placebo=placebo,\n placebo_data_path=placebo_data_path,\n placebo_mode=placebo_mode,\n ),\n service_name=service if service else service_name,\n region_name=region_name,\n max_attempts=max_attempts,\n config=config,\n )\n\n # set client factory\n self.create_client = _create_client\n\n # Build boto3 client\n self._client = self.create_client()","def _get_client(\n session: Optional[boto3.Session] = None, region: Optional[str] = None\n) -> S3Client:\n return session.client(\"s3\") if session else boto3.client(\"s3\", region_name=region)","def createaws() -> my_aws_api_library.MyAws:\r\n aws_cred_file_path = os.environ['AWS_CRED_FILE']\r\n comp_pubkey = os.environ['COMPANY_PUBKEY']\r\n my_aws = my_aws_api_library.MyAws(aws_cred_file_path, comp_pubkey)\r\n return my_aws","def get_conn():\n global S3Conn\n\n S3Conn = tinys3.Connection(plug.options['aws_access_key'],\n plug.options['aws_secret_key'],\n default_bucket=plug.options['bucket'], tls=True)\n # Check that the given bucket exists by doing a HEAD request\n try:\n S3Conn.head_bucket()\n except requests.HTTPError as httpe:\n err = u\"Cannot reach Onitu bucket {}\".format(plug.options['bucket'])\n if httpe.response.status_code == 404:\n err += u\": The bucket doesn't exist.\"\n if httpe.response.status_code == 403:\n err += u\": Invalid credentials.\"\n err += u\" Please check your Amazon S3 configuration - {}\".format(httpe)\n raise DriverError(err)\n plug.logger.debug(\"Connection with Amazon S3 account successful\")\n return S3Conn","def boto_client(account_id, service_name, region):\n logger.info('Creating boto3 client for account_id: {}, '\n 'service_name: {}'.format(account_id, service_name))\n return boto3.client(service_name, region_name=region)","def get_boto3_version() -> str:\n return boto3_version","def __get_s3_client(self):\n if self.AWS_ACCESS_KEY:\n s3_client = boto3.client(\n \"s3\",\n aws_access_key_id=self.AWS_ACCESS_KEY,\n aws_secret_access_key=self.AWS_SECRET_ACCESS_KEY,\n )\n else:\n s3_client = boto3.client(\"s3\")\n return s3_client","def _get_s3_object(self, s3_path):\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\n return self.s3_resource.Object(bucket_name, key)","def __init__(self):\n self.s3_resource = boto3.resource('s3')\n self.s3_client = boto3.client('s3')","def s3_client(self):\n return boto3.client('s3', \n aws_access_key_id=os.environ.get(\"MINIO_ACCESS_KEY\"),\n aws_secret_access_key=os.environ.get(\"MINIO_SECRET_KEY\"),\n endpoint_url=f'http://{os.environ.get(\"MINIO_SERVER\")}',\n config=Config(signature_version='s3v4')\n )","def mock_s3_boto_returns() -> callable:\n\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\n return BotoMockReturns()\n\n return client","def get_boto3_client(\n *,\n aws_lambda_mode: bool,\n service_name: str,\n profile_name: str = 'kreodont',\n connect_timeout: float = 0.2,\n read_timeout: float = 0.4,\n) -> Optional[boto3.client]:\n known_services = ['translate', 'dynamodb', 's3']\n if service_name in global_cached_boto3_clients:\n print(f'{service_name} client taken from cache!')\n return global_cached_boto3_clients[service_name]\n\n if service_name not in known_services:\n raise Exception(\n f'Not known service '\n f'name {service_name}. The following '\n f'service names known: {\", \".join(known_services)}')\n\n if aws_lambda_mode:\n client = boto3.client(\n service_name,\n config=botocore.client.Config(\n connect_timeout=connect_timeout,\n read_timeout=read_timeout,\n parameter_validation=False,\n retries={'max_attempts': 0},\n ),\n )\n else:\n client = boto3.Session(profile_name=profile_name).client(service_name)\n return client\n\n # saving to cache to to spend time to create it next time\n global_cached_boto3_clients[service_name] = client\n return client","def _get_buckets():\n\n return __opts__[\"s3.buckets\"] if \"s3.buckets\" in __opts__ else {}","def __init__(self):\n self.aws = AWS()","def get_elb(args=None, logger=None, stats=None):\n if not args:\n parser = get_parser()\n add_elb_cli_arguments(parser)\n args = parser.parse_args()\n if not logger:\n logger = get_logger(name=NAME)\n\n if not stats:\n stats = get_stats(prefix=NAME)\n\n boto = Boto3(\n log_level=args.boto_log_level,\n access_key=args.boto_access_key,\n secret_key=args.boto_secret_key,\n region=args.boto_region,\n logger=logger,\n stats=stats,\n )\n return ELB(\n boto=boto,\n logger=logger,\n stats=stats,\n )","def extract_aws_metadata(wrapped, instance, args, kwargs, return_value):\n response = return_value\n LOGGER.debug(\n \"Extracting AWS metadata\", args=args, kwargs=kwargs,\n )\n if \"operation_name\" in kwargs:\n operation_name = kwargs[\"operation_name\"]\n else:\n operation_name = args[0]\n\n # Most of the time the actual keyword arguments to the client call are\n # passed in as a positial argument after the operation name.\n if len(kwargs) == 0 and len(args) == 2:\n kwargs = args[1]\n\n region_name = instance._client_config.region_name\n\n response_metadata = response.get(\"ResponseMetadata\")\n\n metadata = {\"aws\": {\"operation\": operation_name, \"region\": region_name}}\n\n if \"TableName\" in kwargs:\n metadata[\"aws\"][\"table_name\"] = kwargs[\"TableName\"]\n if \"QueueUrl\" in kwargs:\n metadata[\"aws\"][\"queue_url\"] = kwargs[\"QueueUrl\"]\n\n if response_metadata is not None:\n metadata[\"http\"] = {\n \"response\": {\"status\": response_metadata[\"HTTPStatusCode\"]},\n }\n metadata[\"aws\"][\"request_id\"] = response_metadata[\"RequestId\"]\n\n return metadata","def get_bucket(bucket):\n if isinstance(bucket, Bucket):\n return bucket\n if isinstance(bucket, str):\n return setup_bucket(bucket)\n else:\n raise TypeError(\"Expected bucket to be Bucket or str was %s \" % type(bucket))","def _get_s3(key=None, username=None, secret=None, password=None, **kwargs):\n if username is not None:\n if key is not None:\n raise KeyError(\"S3 storage options got secrets argument \"\n \"collision. Please, use either `key` \"\n \"storage option or password field in URLpath, \"\n \"not both options together.\")\n key = username\n if key is not None:\n kwargs['key'] = key\n if password is not None:\n if secret is not None:\n raise KeyError(\"S3 storage options got secrets argument \"\n \"collision. Please, use either `secret` \"\n \"storage option or password field in URLpath, \"\n \"not both options together.\")\n secret = password\n if secret is not None:\n kwargs['secret'] = secret\n return S3FileSystem(**kwargs)","def _get_client(self):\n try:\n client = boto3_cached_conn(\n 'iam', **self.conn_details)\n\n if not client:\n raise ValueError(f\"boto3_cached_conn returned null IAM client for {self.account_number}\")\n\n return client\n\n except Exception as e:\n self.on_failure.send(self, error=e)\n self.current_app.logger.exception(f\"Failed to obtain boto3 IAM client for account {self.account_number}.\", exc_info=False)\n raise e","def _get_s3_key():\n\n key = __opts__[\"s3.key\"] if \"s3.key\" in __opts__ else None\n keyid = __opts__[\"s3.keyid\"] if \"s3.keyid\" in __opts__ else None\n service_url = __opts__[\"s3.service_url\"] if \"s3.service_url\" in __opts__ else None\n verify_ssl = __opts__[\"s3.verify_ssl\"] if \"s3.verify_ssl\" in __opts__ else None\n kms_keyid = __opts__[\"aws.kmw.keyid\"] if \"aws.kms.keyid\" in __opts__ else None\n location = __opts__[\"s3.location\"] if \"s3.location\" in __opts__ else None\n path_style = __opts__[\"s3.path_style\"] if \"s3.path_style\" in __opts__ else None\n https_enable = (\n __opts__[\"s3.https_enable\"] if \"s3.https_enable\" in __opts__ else None\n )\n\n return (\n key,\n keyid,\n service_url,\n verify_ssl,\n kms_keyid,\n location,\n path_style,\n https_enable,\n )","def _get_client(self):\n if self._client is None:\n self._client = self.boto.client(service_name='elb', region_name=self.boto.cli_region)\n\n return self._client","def __init__(self):\n super(AWSBase, self).__init__()\n self.region = config.ENV_DATA['region']\n self.aws = AWSUtil(self.region)","def __initiate_s3client():\n boto3.setup_default_session(region_name=env.get('region'))\n s3client = boto3.client(\n 's3',\n aws_access_key_id=env.get('access_key_id'),\n aws_secret_access_key=env.get('secret_access_key')\n )\n return s3client","def _get_resource(\n session: Optional[boto3.Session] = None, region: Optional[str] = None\n) -> S3ServiceResource:\n return (\n session.resource(\"s3\") if session else boto3.resource(\"s3\", region_name=region)\n )","def cli(profile, region, clear):\n global SESSION, BUCKET_MANAGER, DOMAIN_MANAGER, CERT_MANAGER, \\\n DIST_MANAGER, EC2_MANAGER, ECS_MANAGER\n session_cfg = {}\n if profile:\n session_cfg['profile_name'] = profile\n\n if region:\n session_cfg['region_name'] = region\n\n if clear:\n util.clear_scr()\n\n# using **<variable> python expands it as a parameter=content\n SESSION = boto3.Session(**session_cfg)\n BUCKET_MANAGER = BucketManager(SESSION)\n DOMAIN_MANAGER = DomainManager(SESSION)\n CERT_MANAGER = CertificateManager(SESSION)\n DIST_MANAGER = DistributionManager(SESSION)\n EC2_MANAGER = EC2Manager(SESSION)\n ECS_MANAGER = ECSManager(SESSION)","def mock_amazon():\n amazon = Amazon()\n amazon.carrot1 = 'cenoura normal'\n amazon.carrot2 = 'cenoura radioativa'\n amazon.carrot_number = 575\n return amazon","def boto3_client(service='ec2'):\n\n def wrapper(func):\n @wraps(func)\n def wrapped_func(user, *args, **kwargs):\n region = request.args.get('region') or 'eu-west-1'\n client = get_client(user['access_key'], user['secret_key'],\n region=region, service=service)\n return func(user, client, *args, **kwargs)\n\n return wrapped_func\n\n return wrapper","def __init__(self, access_key, secret_key, bucket):\n # amazon s3 connection\n self.s3_conn = None\n self.__set_amazon_s3_service__(access_key, secret_key)\n\n # data bucket to be used\n self.bucket = self.s3_conn.get_bucket(bucket)","def __init__(self, repo_config: Repository, s3_client: Client, s3_bucket: str):\n self.repo_config = repo_config\n self.s3_client = s3_client\n self.s3_bucket = s3_bucket","def __init__(self, name: str, args: S3Args, opts: ResourceOptions = None):\n super().__init__(\"custom:resource:S3\", name, {}, opts)\n \"\"\"Override ComponentResource class constructor\"\"\"\n\n self.bucket_final = Output.all(\n args.project_name,\n args.bucket_name\n ).apply(\n lambda arg: f\"{arg[0]}-{arg[1]}\"\n )\n\n self.bucket = aws.s3.Bucket(\n args.bucket_name,\n bucket=self.bucket_final,\n acl=\"private\",\n tags={\n \"BillingCode\": args.billing_code,\n \"Name\": self.bucket_final,\n \"Project\": args.project_name,\n },\n server_side_encryption_configuration={\n \"rule\": {\n \"applyServerSideEncryptionByDefault\": {\n \"sseAlgorithm\": \"AES256\",\n },\n },\n },\n opts=ResourceOptions(parent=self)\n )\n\n self.deny_vpce_policy = Output.all(\n args.ec2_role_arn,\n self.bucket.arn,\n args.vpc_endpoint_id\n ).apply(\n lambda args:\n aws.iam.get_policy_document(\n version=\"2012-10-17\",\n statements=[\n aws.iam.GetPolicyDocumentStatementArgs(\n sid=\"Access-to-specific-VPCE-only\",\n principals=[\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\n identifiers=[args[0]],\n type=\"AWS\",\n )\n ],\n actions=[\n \"s3:DeleteObject\",\n \"s3:GetObject\",\n \"s3:ListBucket\",\n \"s3:PutObject\",\n \"s3:RestoreObject\",\n ],\n effect=\"Deny\",\n resources=[\n args[1],\n args[1]+\"/*\"\n ],\n conditions=[\n aws.iam.GetPolicyDocumentStatementConditionArgs(\n test=\"StringNotEquals\",\n values=[args[2]],\n variable=\"aws:sourceVpce\",\n )\n ],\n )\n ],\n opts=ResourceOptions(parent=self.bucket)\n )\n )\n\n admin_principals = []\n for admin in args.admin_list:\n admin_principals.append(f\"arn:aws:iam::{current_id}:user/{admin}\")\n\n self.admin_access_policy = Output.all(self.bucket.arn).apply(\n lambda args:\n aws.iam.get_policy_document(\n version=\"2012-10-17\",\n statements=[\n aws.iam.GetPolicyDocumentStatementArgs(\n sid=\"admin-access\",\n principals=[\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\n identifiers=admin_principals,\n type=\"AWS\",\n )\n ],\n actions=[\"s3:*\"],\n effect=\"Allow\",\n resources=[\n args[0],\n args[0]+\"/*\"\n ],\n )\n ],\n opts=ResourceOptions(parent=self.bucket)\n )\n )\n\n self.policy = aws.s3.BucketPolicy(\n f'{args.bucket_name}-policy',\n bucket=self.bucket.id,\n policy=aws.iam.get_policy_document(\n source_json=self.deny_vpce_policy.json,\n override_json=self.admin_access_policy.json,\n ).json,\n opts=ResourceOptions(parent=self.bucket)\n )\n\n self.register_outputs({})","def read_command_line():\n\n parser = argparse.ArgumentParser(\n description='Mount an S3 bucket as a read-only filesystem')\n\n # All arguments must default to None so that they can be filtered\n # out of the returned dictionary; otherwise, the argument defaults\n # will override settings from the configuration file.\n parser.add_argument('mount-point',\n help='where to mount the bucket')\n parser.add_argument('--bucket', dest='bucket',\n help='S3 bucket to mount')\n parser.add_argument('--access-key', dest='access-key',\n help='access key for the bucket')\n parser.add_argument('--secret-key', dest='secret-key',\n help='secret key for the bucket')\n\n parser.add_argument('--config-file', dest='config-file',\n default='~/.s3viewport.yaml',\n help='path to the configuration file')\n\n parser.add_argument('--no-input', dest='no-input',\n action='store_true', default=None,\n help=\"don't prompt for missing information\")\n parser.add_argument('--foreground', dest='foreground',\n action='store_true', default=None,\n help='run filesystem server in the foreground')\n\n # TODO: Describe configuration file format\n\n args = parser.parse_args()\n return filter_dict(vars(args), lambda k, v: v is not None)","def get_s3_client(profile_name):\n try:\n session = boto3.session.Session(profile_name=profile_name)\n except ProfileNotFound as e:\n print(e, file=sys.stderr)\n raise FailureException from e\n return session.resource('s3')","def xray_botocore_api_call(wrapped, instance, args, kwargs):\n return generic_xray_wrapper(\n wrapped,\n instance,\n args,\n kwargs,\n name=get_service_name,\n namespace=\"aws\",\n metadata_extractor=extract_aws_metadata,\n error_handling_type=ERROR_HANDLING_BOTOCORE,\n )","def __init__(__self__, resource_name, opts=None, aws_kms_key_arn=None, content_config=None, content_config_permissions=None, input_bucket=None, name=None, notifications=None, output_bucket=None, role=None, thumbnail_config=None, thumbnail_config_permissions=None, __props__=None, __name__=None, __opts__=None):\n if __name__ is not None:\n warnings.warn(\"explicit use of __name__ is deprecated\", DeprecationWarning)\n resource_name = __name__\n if __opts__ is not None:\n warnings.warn(\"explicit use of __opts__ is deprecated, use 'opts' instead\", DeprecationWarning)\n opts = __opts__\n if opts is None:\n opts = pulumi.ResourceOptions()\n if not isinstance(opts, pulumi.ResourceOptions):\n raise TypeError('Expected resource options to be a ResourceOptions instance')\n if opts.version is None:\n opts.version = utilities.get_version()\n if opts.id is None:\n if __props__ is not None:\n raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')\n __props__ = dict()\n\n __props__['aws_kms_key_arn'] = aws_kms_key_arn\n __props__['content_config'] = content_config\n __props__['content_config_permissions'] = content_config_permissions\n if input_bucket is None:\n raise TypeError(\"Missing required property 'input_bucket'\")\n __props__['input_bucket'] = input_bucket\n __props__['name'] = name\n __props__['notifications'] = notifications\n __props__['output_bucket'] = output_bucket\n if role is None:\n raise TypeError(\"Missing required property 'role'\")\n __props__['role'] = role\n __props__['thumbnail_config'] = thumbnail_config\n __props__['thumbnail_config_permissions'] = thumbnail_config_permissions\n __props__['arn'] = None\n super(Pipeline, __self__).__init__(\n 'aws:elastictranscoder/pipeline:Pipeline',\n resource_name,\n __props__,\n opts)","def boto_init_s3(bucket_name):\n c = boto.connect_s3(aws_access_key_id=settings.AWS_ACCESS_KEY_ID,\n aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY)\n b = c.get_bucket(bucket_name)\n\n return b","def get_object(Bucket=None, IfMatch=None, IfModifiedSince=None, IfNoneMatch=None, IfUnmodifiedSince=None, Key=None, Range=None, ResponseCacheControl=None, ResponseContentDisposition=None, ResponseContentEncoding=None, ResponseContentLanguage=None, ResponseContentType=None, ResponseExpires=None, VersionId=None, SSECustomerAlgorithm=None, SSECustomerKey=None, SSECustomerKeyMD5=None, RequestPayer=None, PartNumber=None):\n pass","def get_config():\n\n # Retrieve config from S3\n config = get_json(BUCKET, CONFIG_S3_KEY)\n\n # If config does not currently exist, create a default one and save to S3\n if not config:\n config = generate_config()\n save_config(config)\n\n return config","def fetch_boto3_client(service_name: str):\n region_name = load_aws_region_name()\n cache_key = f\"{region_name}-{service_name}\"\n\n if CLIENT_CACHE.get(cache_key):\n return CLIENT_CACHE[cache_key]\n\n config = Config(\n region_name=region_name,\n signature_version=\"v4\",\n retries={\"max_attempts\": 10, \"mode\": \"standard\"},\n )\n client = boto3.client(service_name, config=config) # type: ignore\n\n CLIENT_CACHE[cache_key] = client\n\n return client","def get_client(access_key, secret_key, region='eu-west-1', service='ec2'):\n return boto3.client(\n service,\n aws_access_key_id=access_key,\n aws_secret_access_key=secret_key,\n region_name=region\n )","def aws():\n pass","def stubbed_s3_client():\n stubber = stub.Stubber(app.S3_CLIENT)\n\n yield stubber\n\n stubber.deactivate()","def s3_resource(self):\n return boto3.resource('s3', \n aws_access_key_id=os.environ.get(\"MINIO_ACCESS_KEY\"),\n aws_secret_access_key=os.environ.get(\"MINIO_SECRET_KEY\"),\n endpoint_url=f'http://{os.environ.get(\"MINIO_SERVER\")}',\n config=Config(signature_version='s3v4')\n )","def __init__(self,region=None, bucket=None, keyPrefix='logs', fqdn=None):\n object.__init__(self)\n \n if (not region):\n raise MissingArgumentException(\"The AWS region name must be provided.\")\n #endIf\n self.region = region\n \n if (not bucket):\n raise MissingArgumentException(\"The S3 bucket name for the exported logs must be provided.\")\n #endIf\n self.bucket = bucket\n \n self.keyPrefix = keyPrefix\n \n if (not fqdn):\n raise MissingArgumentException(\"The FQDN of the node exporting the logs must be provided.\")\n #endIf\n self.fqdn = fqdn\n \n self.s3Helper = S3Helper(region=region)\n \n if (not self.s3Helper.bucketExists(bucket)):\n self.s3Helper.createBucket(bucket,region=region)\n #endIf","def __init__(self, aws_access_key_id=None, aws_secret_access_key=None,\n is_secure=True, port=None, proxy=None, proxy_port=None,\n proxy_user=None, proxy_pass=None,\n host=None, debug=0, https_connection_factory=None,\n calling_format=None, path='/', provider='aws',\n bucket_class=None, mock_s3_fs=None):\n # use mock_s3_fs even if it's {}\n self.mock_s3_fs = combine_values({}, mock_s3_fs)\n self.endpoint = host or 's3.amazonaws.com'","def get_boto3_bucket(bucket_name): # pragma: no cover\n raise DeprecationWarning(\"get_boto3_bucket() is deprecated\")","def botoconn(args):\n try:\n return boto.ec2.autoscale.connect_to_region(args.region)\n except:\n print(\"FATAL ERROR:\")\n traceback.print_exc(file=sys.stdout)\n sys.exit(\"Failed to connect to AWS. Did you set the shell vars right?\")","def make_sdk(options=None, **kwargs):\n from openstack import connection\n cloud = get_config(options=options, **kwargs)\n return connection.from_config(cloud_config=cloud, options=options)","def __init__(self, *, bucket_arn: typing.Optional[str]=None, bucket_domain_name: typing.Optional[str]=None, bucket_dual_stack_domain_name: typing.Optional[str]=None, bucket_name: typing.Optional[str]=None, bucket_regional_domain_name: typing.Optional[str]=None, bucket_website_new_url_format: typing.Optional[bool]=None, bucket_website_url: typing.Optional[str]=None, encryption_key: typing.Optional[aws_cdk.aws_kms.IKey]=None):\n self._values = {\n }\n if bucket_arn is not None: self._values[\"bucket_arn\"] = bucket_arn\n if bucket_domain_name is not None: self._values[\"bucket_domain_name\"] = bucket_domain_name\n if bucket_dual_stack_domain_name is not None: self._values[\"bucket_dual_stack_domain_name\"] = bucket_dual_stack_domain_name\n if bucket_name is not None: self._values[\"bucket_name\"] = bucket_name\n if bucket_regional_domain_name is not None: self._values[\"bucket_regional_domain_name\"] = bucket_regional_domain_name\n if bucket_website_new_url_format is not None: self._values[\"bucket_website_new_url_format\"] = bucket_website_new_url_format\n if bucket_website_url is not None: self._values[\"bucket_website_url\"] = bucket_website_url\n if encryption_key is not None: self._values[\"encryption_key\"] = encryption_key","def create_boto_session(account):\n aws_access_key_id = account['aws_access_key_id']\n aws_secret_access_key = account['aws_secret_access_key']\n region = account['region']\n #aws_profile = account['aws_profile']\n\n\n session = boto3.Session(\n aws_access_key_id=aws_access_key_id,\n aws_secret_access_key=aws_secret_access_key,\n region_name=region,\n #profile_name=aws_profile,\n )\n\n return session","def s3(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"s3\")","def get_s3_connection(self):\n return connection.S3Connection(\n config.get('nereid_s3', 'access_key'),\n config.get('nereid_s3', 'secret_key')\n )","def setup_s3_client(job_data):\n key_id = job_data['artifactCredentials']['accessKeyId']\n key_secret = job_data['artifactCredentials']['secretAccessKey']\n session_token = job_data['artifactCredentials']['sessionToken']\n\n session = Session(aws_access_key_id=key_id,\n aws_secret_access_key=key_secret,\n aws_session_token=session_token)\n return session.client('s3', config=botocore.client.Config(signature_version='s3v4'))","def __init__(\n self, source, history_path, profile_name, print_request_time=False, output_format=formatter.JSON, headers=None\n ):\n self.history_path = history_path\n self.output_format = output_format\n self.print_request_time = print_request_time\n self.profile_name = profile_name\n self.config_file_path = os.path.join(os.path.expanduser(\"~\"), \".open-cli3-config/config.cfg\")\n\n self.logger = logging.getLogger(\"open-cli3\")\n self.logger.debug(\n \"Creating a python client based on %s, headers: %s\", source, headers\n )\n\n headers = self._parse_headers(headers)\n\n # parse profile_name and/or source attributes\n endpoint_opt = CONFIG_OPTIONS[0]\n if profile_name:\n config_obj = self._get_config_object(self.config_file_path)\n endpoint = \"\"\n if config_obj:\n endpoint = self._get_option_from_config_obj(config_obj, endpoint_opt)\n else:\n self.logger.debug(\"You don't have open-cli3 config file, so we will use source attribute instead\")\n if source:\n endpoint = source\n else:\n self.logger.debug(\"You don't have open-cli3 config file for profile name and you additionally \"\n \"didn't provide source attribute instead\")\n elif source:\n endpoint = source\n else:\n raise Exception(\"You should specify at least source or profile name (if exists) \"\n \"in order to run open-cli3. Check 'help' (-h, --help) for more information\")\n\n # Handle non-url sources\n spec = None\n if os.path.exists(endpoint):\n with open(endpoint) as f:\n spec = yaml.safe_load(f.read())\n\n if not spec:\n spec = requests.get(endpoint).json()\n self.client = OpenAPIExt(spec)\n\n # Get the CLI prompt name from the spec title\n self.name = self.client.info.title\n\n # Initialize a command parser based on the client\n self.command_parser = parser.CommandParser(client=self.client)","def __init__(self, project_id, bucket_name):\n self.project_id = project_id\n self.bucket_name = bucket_name\n self.client = storage.Client(project=project_id)\n self.bucket = self.client.get_bucket(bucket_name)","def mock_s3_boto_raise() -> callable:\n\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\n return BotoMockRaise()\n\n return client","def default_glacier_wrapper(args, **kwargs):\n return GlacierWrapper(args.aws_access_key,\n args.aws_secret_key,\n args.region,\n bookkeeping=args.bookkeeping,\n no_bookkeeping=args.no_bookkeeping,\n bookkeeping_domain_name=args.bookkeeping_domain_name,\n sdb_access_key=args.sdb_access_key,\n sdb_secret_key=args.sdb_secret_key,\n sdb_region=args.sdb_region,\n # sns_enable=args.sns_enable,\n # sns_topic=args.sns_topic,\n # sns_monitored_vaults=args.sns_monitored_vaults,\n # sns_options=args.sns_options,\n # config_object=args.config_object,\n logfile=args.logfile,\n loglevel=args.loglevel,\n logtostdout=args.logtostdout)","def aws(ctx): # pylint: disable=unused-argument\n pass # pylint: disable=unnecessary-pass","def __init__(__self__,\n resource_name: str,\n args: BucketACLArgs,\n opts: Optional[pulumi.ResourceOptions] = None):\n ...","def __init__(self, service, acces_key, secret_key):\n \n self.client = boto3.client(\n service,\n aws_access_key_id=acces_key,\n aws_secret_access_key=secret_key,\n )","def parse_args():\n logging.getLogger().debug(\"parse_args()\")\n parser = argparse.ArgumentParser(description='AWS instance health')\n parser.add_argument('-v', '--verbose', action='count', default=0,\n help='verbosity level, specify multiple')\n parser.add_argument('--clusterid', default=\"default\",\n help='clusterid')\n parser.add_argument('--namespace', default=\"default\",\n help='Project namespace')\n args = parser.parse_args()\n if args.verbose > 0:\n logging.getLogger().setLevel(logging.DEBUG)\n return args","def connect():\n # Reduce the number of retries to 1 if it's not set already so requests\n # fail quickly rather than delaying the downloading of photos\n if not boto.config.has_option('Boto', 'num_retries'):\n if not boto.config.has_section('Boto'):\n boto.config.add_section('Boto')\n boto.config.set('Boto', 'num_retries', '1')\n cfg = settings.config()\n try:\n aws_access_key = cfg.get('s3', 'access_key')\n aws_secret_key = cfg.get('s3', 'secret_key')\n aws_s3_bucket = cfg.get('s3', 'bucket')\n except NoOptionError as e:\n l.error(\"Error reading a setting from the config.cfg file: %s\", e)\n raise\n conn = S3Connection(aws_access_key, aws_secret_key)\n bucket = conn.get_bucket(aws_s3_bucket, validate=False)\n return bucket","def test_s3_get_bucket_info(self, mock_class):\n\n mock_class().list_objects.return_value = list(s3_fake_objects[\"bucket1\"].keys())\n mock_class().stat_object.side_effect = list(s3_fake_objects[\"bucket1\"].values())\n return_value = servicex_storage.s3_storage_manager.BucketInfo(name=\"bucket1\",\n size=60,\n last_modified=datetime.datetime(\n year=2021, month=10,\n day=1, hour=10,\n minute=10, second=10))\n test_obj = servicex_storage.s3_storage_manager.S3Store(s3_endpoint=\"abc\",\n access_key=\"abc\",\n secret_key=\"abc\")\n bucket_info = test_obj.get_bucket_info(\"bucket1\")\n self.assertEqual(bucket_info, return_value)","def get_client(self, service, region, account):\n\n client = AwsApi.CLIENTS_CACHE.get((service, region, account))\n if client:\n return client # from cache\n\n if region == '*':\n eprint(\"warn: unknown region ('*'), using the default ('{}')\", self.default_region)\n region = self.default_region\n\n if account == '*':\n eprint(\"warn: unknown account ('*'), using default session\")\n client = self.session.client(\n service,\n region_name=region\n )\n elif account == self.default_account:\n client = self.session.client(\n service,\n region_name=region\n )\n elif self.args.no_input:\n eprint(\"warn: unknown account ('{}') and --no-input set, using default session\", account)\n client = self.session.client(\n service,\n region_name=region\n )\n else:\n account_config = self.config.setdefault('aws', {}).setdefault('accounts', {}).setdefault(account, {})\n if not 'profile' in account_config:\n account_config['profile'] = input(\"Enter configured AWS profile for {}: \".format(account))\n client = boto3.Session(profile_name=account_config['profile']).client(service, region_name=region)\n\n AwsApi.CLIENTS_CACHE[(service, region, account)] = client\n return client","def make_s3(sitename):\n return s3.S3(sitename)","def s3_client(s3_url):\n with moto.mock_s3():\n with clients.S3Client(s3_url) as client:\n yield client","def cli():\n parser=argparse.ArgumentParser(\n description = 'Rotate through a given AWS account for per application keys. Keys are temporarily loaded into environment variables. Asks for a SSO cookie value.')\n parser.add_argument('role', help = 'Role to harvest session keys as')\n parser.add_argument(\n '-c', '--command', help = 'Custom command to run.', default = None)\n parser.add_argument('-a', '--application',\n help = 'Provide a specific application', default = None)\n parser.add_argument(\n '-l', '--list', help = 'Provide a list of applications. Lists should be one Application#,Application Name per line', default = None)\n parser.add_argument(\n '-p', '--awspx', help = 'Run awspx across all applications. Install from https://github.com/FSecureLABS/awspx', action=argparse.BooleanOptionalAction, default = False)\n parser.add_argument(\n '-s', '--scoutsuite', help = 'Run ScoutSuite across all applications. Install from https://github.com/nccgroup/ScoutSuite', action=argparse.BooleanOptionalAction, default = False)\n args=parser.parse_args()\n\n print(\"Please provide an SSO cookie value. Obtain from the dev console on a web browser, probably named something like x-amz-sso_authn\")\n token=input()\n\n return args.role, args.list, args.application, args.command, token, args.awspx, args.scoutsuite","def from_bucket_attributes(cls, scope: aws_cdk.core.Construct, id: str, *, bucket_arn: typing.Optional[str]=None, bucket_domain_name: typing.Optional[str]=None, bucket_dual_stack_domain_name: typing.Optional[str]=None, bucket_name: typing.Optional[str]=None, bucket_regional_domain_name: typing.Optional[str]=None, bucket_website_new_url_format: typing.Optional[bool]=None, bucket_website_url: typing.Optional[str]=None, encryption_key: typing.Optional[aws_cdk.aws_kms.IKey]=None) -> \"IBucket\":\n attrs = BucketAttributes(bucket_arn=bucket_arn, bucket_domain_name=bucket_domain_name, bucket_dual_stack_domain_name=bucket_dual_stack_domain_name, bucket_name=bucket_name, bucket_regional_domain_name=bucket_regional_domain_name, bucket_website_new_url_format=bucket_website_new_url_format, bucket_website_url=bucket_website_url, encryption_key=encryption_key)\n\n return jsii.sinvoke(cls, \"fromBucketAttributes\", [scope, id, attrs])","def _client(region: str = \"\") -> Any:\n region_name = region or os.environ.get(\"AWS_DEFAULT_REGION\", AWS_DEFAULT_REGION)\n return boto3.client(\"sqs\", region_name=region_name)","def client() -> botocore.client.BaseClient:\n global _client\n if _client is None:\n endpoint_url = os.environ.get('LOCALSTACK_SNS_URL')\n # If endpoint_url is None, botocore constructs the default AWS URL\n _client = boto3.client('sns', endpoint_url=endpoint_url)\n return _client","def getS3Object(self, bucket=None, s3Path=None, destPath=None):\n methodName = \"getS3Object\"\n \n if (not bucket):\n raise MissingArgumentException(\"An S3 bucket name (bucket) must be provided.\")\n #endIf\n \n if (not s3Path):\n raise MissingArgumentException(\"An S3 object key (s3Path) must be provided.\")\n #endIf\n \n if (not destPath):\n raise MissingArgumentException(\"A file destination path (destPath) must be provided.\")\n #endIf\n \n TR.info(methodName, \"STARTED download of object: %s from bucket: %s, to: %s\" % (s3Path,bucket,destPath))\n \n s3url = self.s3.generate_presigned_url(ClientMethod='get_object',Params={'Bucket': bucket, 'Key': s3Path},ExpiresIn=60)\n TR.fine(methodName,\"Getting S3 object with pre-signed URL: %s\" % s3url)\n #endIf\n \n destDir = os.path.dirname(destPath)\n if (not os.path.exists(destDir)):\n os.makedirs(destDir)\n TR.info(methodName,\"Created object destination directory: %s\" % destDir)\n #endIf\n \n r = requests.get(s3url, stream=True)\n with open(destPath, 'wb') as destFile:\n shutil.copyfileobj(r.raw, destFile)\n #endWith\n\n TR.info(methodName, \"COMPLETED download from bucket: %s, object: %s, to: %s\" % (bucket,s3Path,destPath))\n \n return destPath","def s3_pickle_io_manager(init_context):\n s3_session = init_context.resources.s3\n s3_bucket = init_context.resource_config[\"s3_bucket\"]\n s3_prefix = init_context.resource_config.get(\"s3_prefix\") # s3_prefix is optional\n pickled_io_manager = PickledObjectS3IOManager(s3_bucket, s3_session, s3_prefix=s3_prefix)\n return pickled_io_manager","def __init__(self, looking_for_tags: dict):\n self.looking_for_tags = looking_for_tags\n self.ec2 = boto3.resource('ec2')","def _get_aws_s3_connection(cls, access_key, secret_access_key):\n return boto.connect_s3(access_key, secret_access_key)","def assume_role():\n try:\n return boto3.client('sts')\n except Exception as error:\n logger.info(\"Creating a boto client failed with the following error : {}\".format(error))","def __init__(__self__,\n resource_name: str,\n args: ObjectStorageKeyArgs,\n opts: Optional[pulumi.ResourceOptions] = None):\n ...","def get_client():\n global _CLIENT\n if _CLIENT is None:\n from stsci_aws_utils.s3 import ConcurrentS3Client\n _CLIENT = ConcurrentS3Client()\n atexit.register(_CLIENT.close)\n return _CLIENT","def provision_create(ec2_conn, iam_conn, interana_account_id, s3_bucket_path, interana_user):\n try:\n user, all_policies = check_account_setup(iam_conn, interana_user)\n except Exception, e:\n print \"Warning could not verify user interana_user {} because {}\".format(interana_user, e)\n\n infile = 's3_bucket_list.policy.template'\n outfile = 's3_bucket_list.policy'\n\n bucket_name, bucket_prefix = get_bucket_name_prefix(s3_bucket_path)\n\n all_lines = ''\n with open(infile, 'r') as tmp_fh, open(outfile, 'w') as out_fh:\n for line in tmp_fh:\n re_proxy = re.compile('<INTERANA_ACCOUNT_ID>')\n translate = re_proxy.sub(interana_account_id, line)\n\n re_proxy = re.compile('<BUCKET_NAME>')\n translate = re_proxy.sub(bucket_name, translate)\n\n re_proxy = re.compile('<BUCKET_PREFIX>')\n translate = re_proxy.sub(bucket_prefix, translate)\n\n out_fh.write(translate)\n all_lines += translate.strip()\n\n if len(bucket_prefix) < 1:\n with open(outfile, 'r') as in_fh:\n policy = json.load(in_fh)\n del policy['Statement'][1]['Condition']\n all_lines = json.dumps(policy)\n print \"Download file to check GetObject Access {}\".format(outfile)\n with open(outfile, 'w') as out_fh:\n json.dump(policy, out_fh, indent=4)\n\n print \"****policy file {}***\".format(outfile)\n\n print json.dumps(json.loads(all_lines), indent=True)","def get_aiobotocore_version() -> str:\n try:\n from aiobotocore import __version__ as version # type: ignore\n except ImportError:\n raise RuntimeError(\"aiobotocore is not installed\")\n return version","def __init__(self, s3_connection, bucket_name, bucket_url):\n self.s3 = s3_connection\n self.bucket_name = bucket_name\n self.bucket_url = bucket_url","def get_s3_bucket(env):\n s3 = boto3.resource('s3')\n bucket_name = 'govuk-%s-fastly-logs' % env\n logging.info('S3 bucket name: %s', bucket_name)\n return s3.Bucket(bucket_name)","def create_connection(bucket_name):\n conn = boto.connect_s3()\n bucket = conn.get_bucket(bucket_name)\n return conn, bucket","def _getStorageClient(app):\n \n if config.get(\"aws_s3_gateway\"):\n log.debug(\"_getStorageClient getting S3Client\")\n client = S3Client(app)\n else:\n log.debug(\"_getStorageClient getting MemClient\")\n client = MemClient(app)\n return client","def mock_s3_bucket():\n with moto.mock_s3():\n bucket_name = \"mock-bucket\"\n my_config = Config(region_name=\"us-east-1\")\n s3_client = boto3.client(\"s3\", config=my_config)\n s3_client.create_bucket(Bucket=bucket_name)\n yield bucket_name","def s3(self) -> Optional['outputs.DataRepositoryAssociationS3']:\n return pulumi.get(self, \"s3\")","def get_backend(cls, backend=None):\n return backend if backend else aws.S3Backend(\n category=cls.default_category, bucket_name=cls.default_bucket)"],"string":"[\n \"def get_boto(args=None, logger=None, stats=None):\\n return Boto(**__get_arguments(args, logger, stats))\",\n \"def __get_arguments(args=None, logger=None, stats=None):\\n\\n if not args:\\n parser = get_parser()\\n add_boto_cli_arguments(parser)\\n # Parse only the known arguments added by add_boto_cli_arguments().\\n # We only need those arguments to create Boto object, nothing else.\\n # parse_known_args() return (Namespace, list of unknown arguments),\\n # we only care about the Namespace object here.\\n args = parser.parse_known_args()[0]\\n\\n if not logger:\\n logger = get_logger(name=NAME)\\n\\n if not stats:\\n stats = get_stats(prefix=NAME)\\n\\n return {\\n 'log_level': getattr(args, 'boto_log_level', DEFAULT['log_level']()),\\n 'access_key': getattr(args, 'boto_access_key', DEFAULT['access_key']()),\\n 'secret_key': getattr(args, 'boto_secret_key', DEFAULT['secret_key']()),\\n 'region': getattr(args, 'boto_region', DEFAULT['region']()),\\n 'logger': logger,\\n 'stats': stats,\\n }\",\n \"def get_boto_client(self) -> S3Client:\\n if self._boto_client is None:\\n config = Config(signature_version=botocore.UNSIGNED)\\n self._boto_client = self.session.client(\\n \\\"s3\\\",\\n region_name=settings.S3_REGION,\\n endpoint_url=settings.S3_ENDPOINT_URL,\\n config=config,\\n )\\n return self._boto_client\",\n \"def client() -> botocore.client.BaseClient:\\n global _client\\n if _client is None:\\n endpoint_url = os.environ.get('LOCALSTACK_S3_URL')\\n # If endpoint_url is None, botocore constructs the default AWS URL\\n _client = boto3.client('s3', endpoint_url=endpoint_url)\\n return _client\",\n \"def main():\\n\\n parser = get_args()\\n args = parser.parse_args()\\n\\n if args.verbose:\\n LOG.setLevel(logging.INFO)\\n LOG.info('Verbose: on')\\n else:\\n ## If not verbose, turn down boto3.\\n boto3.set_stream_logger(name='boto3', level=logging.WARNING)\\n boto3.set_stream_logger(name='botocore', level=logging.WARNING)\\n logging.getLogger(\\\"requests\\\").setLevel(logging.WARNING)\\n\\n ## Ensure credentials.\\n if not args.credentials:\\n die_screaming('need a credentials argument')\\n LOG.info('Will use credentials: ' + args.credentials)\\n ## Ensure directory.\\n if not args.directory:\\n die_screaming('need a directory argument')\\n args.directory = args.directory.rstrip('//')\\n LOG.info('Will operate in: ' + args.directory)\\n ## Ensure bucket.\\n if not args.bucket:\\n die_screaming('need a bucket argument')\\n bucket, slash, toppath = args.bucket.partition('/')\\n if toppath != '':\\n LOG.info('Will put to bucket: ' + bucket + '; with path: ' + toppath)\\n else:\\n LOG.info('Will put to bucket at top level: ' + bucket)\\n ## Ensure mimetype metadata.\\n if not args.mimetypes:\\n LOG.info('Will use internal mimetype defaults')\\n else:\\n LOG.info('TODO: Will get mimetype metadata from: ' + args.metadata)\\n ## Ensure bucket location.\\n if not args.location:\\n args.location = 'us-east-1'\\n LOG.info('Will use S3 bucket location default: ' + args.location)\\n else:\\n LOG.info('Will use S3 bucket location: ' + args.location)\\n\\n ## Extract S3 credentials.\\n creds = None\\n with open(args.credentials) as chandle:\\n creds = json.loads(chandle.read())\\n #LOG.info(creds)\\n\\n s3 = boto3.resource('s3', region_name=args.location,\\n aws_access_key_id=creds['accessKeyId'],\\n aws_secret_access_key=creds['secretAccessKey'])\\n\\n # s3 = boto3.resource(\\\"s3\\\", creds['accessKeyId'], creds['secretAccessKey'])\\n\\n #s3.Object('mybucket', 'hello.txt').put(Body=open('/tmp/hello.txt', 'rb'))\\n\\n ## Walk tree.\\n for curr_dir, dirs, files in os.walk(args.directory):\\n\\n ## We can navigate up if we are not in the root.\\n relative_to_start = curr_dir.rstrip('//')[len(args.directory):]\\n relative_to_start = relative_to_start.lstrip('//')\\n LOG.info('curr_dir: ' + curr_dir + ' (' + relative_to_start + ')')\\n\\n ## Note files and directories.\\n for fname in files:\\n\\n ## Get correct mime type.\\n fext = os.path.splitext(fname)[1].lstrip('.')\\n mime = MIMES.get('') # start with default\\n if MIMES.get(fext, False):\\n mime = MIMES.get(fext)\\n\\n ## Figure out S3 path/key and final filename, keeping in\\n ## mind that relative_to_Start can be empty if root.\\n s3path = fname\\n if relative_to_start:\\n s3path = relative_to_start + '/' + fname\\n filename = os.path.join(curr_dir, fname)\\n\\n tags = {}\\n if args.number:\\n tags['build-number'] = args.number\\n if args.pipeline:\\n tags['build-pipeline'] = args.pipeline\\n tags_str = urllib.parse.urlencode(tags)\\n\\n ## Visual check.\\n LOG.info('file: ' + filename)\\n if toppath != '':\\n s3path = toppath + '/' + s3path\\n LOG.info(' -> [' + bucket + '] ' + s3path + \\\\\\n '(' + mime + ', ' + tags_str + ')')\\n\\n ## Create the new object that we want.\\n s3bucket = s3.Bucket(bucket)\\n multipart_upload(filename, s3bucket, s3path, content_type=mime, metadata=tags, policy=\\\"public-read\\\")\\n\\n # newobj = s3.Object(args.bucket, s3path)\\n # outfile = open(filename, 'rb')\\n # newobj.put(Body=outfile, \\\\\\n # ContentType=mime, \\\\\\n # Metadata=tags,\\n # ACL='public-read') #Tagging=tags_str)\\n\\n # outbod = open(os.path.join(curr_dir, fname), 'rb')\\n # .put(Body=outbod, 'rb')\\n\\n # for dname in dirs:\\n # #LOG.info('dir: ' + os.path.join(curr_dir, dname))\\n # pass\",\n \"def get_s3_client(args: argparse.Namespace) -> botocore.clients.s3:\\n\\n assert args.s3_region_name is not None, \\\"set COMPSYN_S3_REGION_NAME\\\"\\n assert args.s3_access_key_id is not None, \\\"set COMPSYN_S3_ACCESS_KEY_ID\\\"\\n assert args.s3_secret_access_key is not None, \\\"set COMPSYN_S3_SECRET_ACCESS_KEY\\\"\\n assert args.s3_bucket is not None, \\\"set COMPSYN_S3_BUCKET\\\"\\n\\n return boto3.session.Session().client(\\n \\\"s3\\\",\\n region_name=args.s3_region_name,\\n endpoint_url=args.s3_endpoint_url,\\n aws_access_key_id=args.s3_access_key_id,\\n aws_secret_access_key=args.s3_secret_access_key,\\n )\",\n \"def aws_cli(args: List[str]):\\n\\n try:\\n text_output = subprocess.check_output(['aws'] + args, text=True)\\n except subprocess.CalledProcessError as e:\\n raise Exception(f\\\"failed to call AWS CLI ({e.returncode}): \\\\n{e.stdout}\\\\n\\\\n{e.stderr}\\\") from e\\n\\n try:\\n json_obj = json.loads(text_output)\\n except json.JSONDecodeError as e:\\n raise Exception(f\\\"AWS CLI did not output JSON as expected ({e.msg}). Output was:\\\\n{text_output}\\\") from e\\n\\n return json_obj\",\n \"def create_boto3_client(config, service):\\n session = boto3.Session(profile_name=config.get('AWS_ACCESS', 'AWS_PROFILE'))\\n return session.client(service, region_name=config.get('AWS_ACCESS', 'AWS_REGION'))\",\n \"def bcbio_s3_instance_profile(conn, args):\\n import boto\\n if hasattr(args, \\\"nocreate\\\") and args.nocreate:\\n return {\\\"instance_profile\\\": \\\"\\\"}\\n base_name = args.cluster if hasattr(args, \\\"cluster\\\") and args.cluster else \\\"bcbio\\\"\\n name = \\\"%s_full_s3_access\\\" % (base_name)\\n try:\\n ip = conn.get_instance_profile(name)\\n except boto.exception.BotoServerError:\\n print(\\\"Instance profile %s doesn't exist, creating\\\" % name)\\n ip = conn.create_instance_profile(name)\\n try:\\n conn.get_role(name)\\n except boto.exception.BotoServerError:\\n print(\\\"Role %s doesn't exist, creating\\\" % name)\\n conn.create_role(name)\\n conn.put_role_policy(name, name, S3_POLICY)\\n if not tz.get_in([\\\"get_instance_profile_response\\\", \\\"get_instance_profile_result\\\", \\\"instance_profile\\\", \\\"roles\\\"],\\n ip):\\n conn.add_role_to_instance_profile(name, name)\\n print(\\\"Instance profile: %s\\\" % name)\\n return {\\\"instance_profile\\\": name}\",\n \"def get_aioboto3_version() -> str:\\n try:\\n from aioboto3 import __version__ as version # type: ignore\\n except ImportError:\\n raise RuntimeError(\\\"aioboto3 is not installed\\\")\\n\\n return version\",\n \"def get_s3_client():\\n return boto3.resource('s3')\",\n \"def _aws_get_object(bucket, key, request_pays=True, client=None):\\n if not client:\\n session = boto3_session(region_name=REGION)\\n client = session.client(\\\"s3\\\")\\n\\n params = {\\\"Bucket\\\": bucket, \\\"Key\\\": key}\\n if request_pays:\\n params[\\\"RequestPayer\\\"] = \\\"requester\\\"\\n response = client.get_object(**params)\\n return response[\\\"Body\\\"].read()\",\n \"def main():\\n t0 = time.time()\\n parser = argparse.ArgumentParser()\\n parser.add_argument('-e', '--env', default='LOCAL', help='Enter one of DOCKER, LOCAL or S3')\\n parser.add_argument('--bucket-name', help='Enter S3 bucket')\\n parser.add_argument('--aws-access-key-id', help='Enter AWS access key id')\\n parser.add_argument('--aws-secret-access-key', help='Enter AWS secrest access key')\\n parser.add_argument('--aws-region', default='us-west-2', help='Enter AWS region')\\n # subparser = parser.add_subparsers(dest='subcommand', help='Can choose bucket name if S3 is chosen')\\n # parser_bucket = subparser.add_parser('S3')\\n # parser_bucket.add_argument('bucket', help='S3 bucket name')\\n args = vars(parser.parse_args())\\n args['env'] = args['env'].upper()\\n if args['env'] != 'S3' and args['bucket_name']:\\n parser.error('Can specify a bucket name with only S3...')\\n if args['env'] == 'S3' and not (args['bucket_name'] and \\n args['aws_access_key_id'] and\\n args['aws_secret_access_key']):\\n parser.error('Specify a bucket, access key and secret access key...')\\n # print(args)\\n # print(args['env'])\\n # print(args['subcommand'])\\n\\n if args['env'] == 'S3' and args['aws_region'] != '':\\n s3_client = create_client(\\n \\\"s3\\\",\\n region=args['aws_region'],\\n access_key_id=args['aws_access_key_id'],\\n secret_access_key=args['aws_secret_access_key']\\n )\\n os.environ['AWS_ACCESS_KEY_ID'] = args['aws_access_key_id'].strip()\\n os.environ['AWS_SECRET_ACCESS_KEY'] = args['aws_secret_access_key'].strip()\\n logger.info('Check to see whether s3 bucket exits...')\\n try:\\n s3.meta.client.head_bucket(Bucket=args['bucket_name'])\\n logger.info(f\\\"S3 bucket {args['bucket_name']} exits...\\\")\\n except Exception as e:\\n logger.warn(f\\\"Bucket {args['bucket_name']} doesn't exist...\\\")\\n logger.info('Creating bucket...')\\n create_s3_bucket(s3_client, args['bucket_name'], args['aws_region'])\\n\\n\\n config = configparser.ConfigParser()\\n if args['env'] == 'DOCKER':\\n CFG_FILE = r'/usr/local/airflow/config/etl_config.cfg'\\n try:\\n config.read(CFG_FILE)\\n except Exception as e:\\n print('Configuration file is missing or cannot be read...')\\n raise\\n elif args['env'] == 'S3':\\n obj = s3_client.get_object(Bucket=args['bucket_name'], Key='config/etl_config.cfg')\\n try:\\n config.read_string(obj['Body'].read().decode())\\n except Exception as e:\\n print('Configuration file is missing or cannot be read...')\\n raise\\n else:\\n CFG_FILE = r'/Users/home/Documents/dend/Data-Engineering-ND/Capstone/config/etl_config.cfg'\\n try:\\n config.read(CFG_FILE)\\n except Exception as e:\\n print('Configuration file is missing or cannot be read...')\\n raise\\n\\n sas_jar_ver = config['APP']['sas_jar_ver']\\n os.environ['SAS_JAR'] = \\\".\\\".join(sas_jar_ver.split('.')[:-1])\\n\\n if args['env'] == 'DOCKER':\\n base_dir = config['DOCKER']['base_dir']\\n data_dir = config['DOCKER']['data_dir']\\n path = config['DOCKER']['sas_data_dir']\\n sas_file_path = os.path.join(base_dir, data_dir, path)\\n dict_dir = config['DOCKER']['dict_dir']\\n files = json.loads(config['DOCKER']['input_files'])\\n airport_file = os.path.join(base_dir, data_dir, config['DOCKER']['airports_file'])\\n demographic_file = os.path.join(base_dir, data_dir, config['DOCKER']['us_demographics_file'])\\n dictionary_file = os.path.join(base_dir, dict_dir, config['DOCKER']['dictionary_file'])\\n output_dir = os.path.join(base_dir, config['DOCKER']['output_dir'])\\n log_dir = os.path.join(base_dir, config['LOCAL']['log_dir'])\\n log_file = config['LOCAL']['log_file']\\n elif args['env'] == 'S3':\\n bucket = args['bucket_name']\\n path = config['S3']['s3_sas_key']\\n dict_dir = config['S3']['s3_dict_key']\\n csv_dir = config['S3']['s3_csv_key']\\n sas_file_path = os.path.join(\\\"s3a://\\\", bucket, csv_dir, path)\\n files = json.loads(config['S3']['input_files'])\\n airport_file = os.path.join(\\\"s3a://\\\", bucket, csv_dir, config['S3']['airports_file'])\\n demographic_file = os.path.join(\\\"s3a://\\\", bucket, csv_dir, config['S3']['us_demographics_file'])\\n dictionary_file = os.path.join(\\\"s3a://\\\", bucket, config['S3']['dictionary_file'])\\n output_dir = os.path.join(\\\"s3a://\\\", bucket, config['S3']['output_dir'])\\n else:\\n base_dir = config['LOCAL']['base_dir']\\n data_dir = config['LOCAL']['data_dir']\\n path = config['LOCAL']['sas_data_dir']\\n sas_file_path = os.path.join(base_dir, data_dir, path)\\n dict_dir = config['LOCAL']['dict_dir']\\n files = json.loads(config['LOCAL']['input_files'])\\n airport_file = os.path.join(base_dir, data_dir, config['LOCAL']['airports_file'])\\n demographic_file = os.path.join(base_dir, data_dir, config['LOCAL']['us_demographics_file'])\\n dictionary_file = os.path.join(base_dir, dict_dir, config['LOCAL']['dictionary_file'])\\n output_dir = os.path.join(base_dir, config['LOCAL']['output_dir'])\\n log_dir = os.path.join(base_dir, config['LOCAL']['log_dir'])\\n log_file = config['LOCAL']['log_file']\\n \\n try:\\n # Log file written to Hadoop EMR env\\n base_dir = config['HADOOP']['base_dir']\\n log_dir = os.path.join(base_dir, config['HADOOP']['log_dir'])\\n log_file = config['HADOOP']['log_file']\\n pathlib.Path(log_dir).mkdir(exist_ok=True)\\n file_handler = enable_logging(log_dir, log_file)\\n logger.addHandler(file_handler)\\n print(\\\"Create log dir if it doesn't exist...\\\")\\n except:\\n base_dir = config['LOCAL']['base_dir']\\n log_dir = os.path.join(base_dir, config['LOCAL']['log_dir'])\\n log_file = config['LOCAL']['log_file']\\n pathlib.Path(log_dir).mkdir(exist_ok=True)\\n file_handler = enable_logging(log_dir, log_file)\\n logger.addHandler(file_handler)\\n print(\\\"Create log dir if it doesn't exist...\\\")\\n\\n\\n logger.info('ETL parsing has started...')\\n logger.info(\\\"Create output dir if it doesn't exist...\\\")\\n if args['env'] != 'S3':\\n pathlib.Path(output_dir).mkdir(exist_ok=True)\\n else:\\n # config.set('S3', 's3_bucket_name', args['bucket_name'])\\n # s3_client.put_object(Bucket=args['bucket_name'], Key=config['S3']['config_dir'], Body=)\\n s3_client.put_object(Bucket=args['bucket_name'], Key=config['S3']['output_dir'])\\n logger.info('Created S3 bucket...')\\n \\n spark = create_spark_session()\\n logger.info('Pyspark session created...')\\n logger.info('Register UDFs...')\\n \\n spark.udf.register('SASDateConverter', sas_date_converter, Date())\\n logger.info('Register sas_date_converter UDF...')\\n\\n # change_date_format_1 = F.udf(lambda x: datetime.strptime(x.strip(), '%Y%m%d'), Date())\\n # change_date_format_2 = F.udf(lambda x: datetime.strptime(x.strip(), '%m%d%Y'), Date())\\n dt = F.udf(change_date_format, Date())\\n\\n logger.info('Read and concatenate the raw SAS files...')\\n dfs = []\\n for file in files:\\n try:\\n df = spark.read.format('com.github.saurfang.sas.spark')\\\\\\n .load(os.path.join(sas_file_path, file))\\n dfs.append(df)\\n except Exception as e:\\n logger.info(f'File {file} is not available. Skipping...')\\n logger.info(f'Read {len(files)} files successfully...')\\n df = []\\n if len(dfs) > 0:\\n df = concat_df(*dfs)\\n logger.info(f'Successfully concatenated {len(files)}...')\\n if not isinstance(df, list):\\n # SAS raw data table creation begins here\\n cols = ['cicid', 'i94yr', 'i94mon', 'i94port', 'i94mode', 'visapost', \\n 'entdepa', 'entdepd', 'entdepu', 'matflag', \\n 'dtadfile', 'dtaddto']\\n parquet_tables = ['i94_immigrations', 'i94_trips', 'i94_visitors', 'i94_flights']\\n f_transforms = [i94_immigrations, i94_trips, i94_visitors, i94_flights]\\n res_df = None\\n for table, f_transform in zip(parquet_tables, f_transforms):\\n if table == 'i94_immigrations':\\n # only table not using spark sql\\n res_df = create_and_write_df(df, table, f_transform, \\n output_dir,\\n spark=None, cols=cols,\\n udf=dt, fmt='parquet',\\n is_partition=True,\\n is_overwrite=True,\\n crate_date_df=False)\\n elif table == 'i94_flights':\\n res_df = create_and_write_df(df, table, f_transform, \\n output_dir,\\n spark=spark, cols=None,\\n udf=None, fmt='csv',\\n is_partition=False,\\n is_overwrite=True,\\n crate_date_df=False)\\n else:\\n res_df = create_and_write_df(df, table, f_transform, \\n output_dir,\\n spark=spark, cols=None,\\n udf=None, fmt='parquet',\\n is_partition=True,\\n is_overwrite=True,\\n crate_date_df=False)\\n\\n if table == 'i94_trips':\\n table = 'i94_dates'\\n create_and_write_df(res_df, table, i94_dates, \\n output_dir,\\n spark=spark, cols=None,\\n udf=None, fmt='parquet',\\n is_partition=True,\\n is_overwrite=True,\\n crate_date_df=False)\\n\\n # Reference data for airports and us city demographics begins here\\n airport_df = spark.createDataFrame([], R([]))\\n demographic_df = spark.createDataFrame([], R([]))\\n logger.info('Read the airports reference file...')\\n try:\\n airport_df = spark.read.option('header', True) \\\\\\n .csv(airport_file)\\n except Exception as e:\\n logger.error(f'File {airport_file} is not available. Skipping...')\\n\\n logger.info('Read the US demographics reference file...')\\n try:\\n demographic_df = spark.read.options(header='True', delimiter=';') \\\\\\n .csv(demographic_file) \\n except Exception as e:\\n logger.error(f'File {demographic_file} is not available. Skipping...')\\n if airport_df.count() > 0 and demographic_df.count() > 0: \\n csv_tables = ['i94_airports', 'i94_us_states_demographic', \\n 'i94_us_cities_demographic']\\n f_transforms = [i94_airports, i94_us_states_demographic, i94_us_cities_demographic]\\n csv_dfs = [airport_df, demographic_df, demographic_df]\\n for table, f_transform, df in zip(csv_tables, f_transforms, csv_dfs):\\n res_df = create_and_write_df(df, table, f_transform, \\n output_dir,\\n spark=spark, cols=None,\\n udf=dt, fmt='csv',\\n is_partition=False,\\n is_overwrite=True)\\n\\n # SAS reference data creation begins here\\n ref_csv_tables = ['i94_countries', 'i94_port_state_mapping', 'i94_travel_mode', \\n 'i94_state_mapping', 'i94_visa']\\n table_pos_dict = {\\n 'i94_countries': [2, 3, 'country', 'country_id'],\\n 'i94_port_state_mapping': [3, 4, 'city', 'i94_port'],\\n 'i94_travel_mode': [4, 5, 'mode', 'mode_id'],\\n 'i94_state_mapping': [5, 6, 'state', 'state_id'],\\n 'i94_visa': [6, 7, 'visa_purpose', 'visa_id']\\n }\\n logger.info('Read the SAS data dictionary reference file...') \\n for table in ref_csv_tables:\\n create_and_write_ref_df(dictionary_file, table, output_dir, spark, \\n fmt='csv', start_pos=table_pos_dict[table][0], \\n end_pos=table_pos_dict[table][1],\\n col_name=table_pos_dict[table][2], \\n index_name=table_pos_dict[table][3],\\n is_partition=False,\\n is_overwrite=True)\\n\\n logger.info('ETL parsing has completed...')\\n logger.info('Time taken to complete job {} minutes'.format((time.time() - t0) / 60))\",\n \"def __init__(self, bucket, aws_profile=None, logger=None):\\n self.bucket = bucket\\n self.s3helper = S3Helper(aws_profile=aws_profile)\\n self.print_func = print\\n if logger:\\n self.print_func = logger.info\",\n \"def get_s3_args(\\n parser: Optional[argparse.ArgumentParser] = None,\\n) -> argparse.ArgumentParser:\\n\\n if parser is None:\\n parser = argparse.ArgumentParser()\\n\\n s3_parser = parser.add_argument_group(\\\"s3\\\")\\n\\n s3_parser.add_argument(\\n \\\"--s3-bucket\\\",\\n type=str,\\n action=env_default(\\\"COMPSYN_S3_BUCKET\\\"),\\n required=False,\\n help=\\\"bucket where img data is stored in S3\\\",\\n )\\n s3_parser.add_argument(\\n \\\"--s3-region-name\\\",\\n type=str,\\n required=False,\\n action=env_default(\\\"COMPSYN_S3_REGION_NAME\\\"),\\n help=\\\"S3 region\\\",\\n )\\n s3_parser.add_argument(\\n \\\"--s3-endpoint-url\\\",\\n action=env_default(\\\"COMPSYN_S3_ENDPOINT_URL\\\"),\\n required=False,\\n help=\\\"S3 endpoint URL (only required for non-AWS S3)\\\",\\n )\\n s3_parser.add_argument(\\n \\\"--s3-access-key-id\\\",\\n type=str,\\n action=env_default(\\\"COMPSYN_S3_ACCESS_KEY_ID\\\"),\\n required=False,\\n )\\n s3_parser.add_argument(\\n \\\"--s3-secret-access-key\\\",\\n type=str,\\n action=env_default(\\\"COMPSYN_S3_SECRET_ACCESS_KEY\\\"),\\n required=False,\\n )\\n\\n return parser\",\n \"def __init__(\\n self,\\n service_name: str,\\n account_id: str,\\n region_name: Optional[str] = None,\\n aws_creds: Optional[Dict[str, str]] = None,\\n profile_name: Optional[str] = None,\\n placebo: Optional[Any] = None,\\n placebo_data_path: Optional[str] = None,\\n placebo_mode: Optional[str] = \\\"record\\\",\\n max_attempts: int = 20,\\n config: Optional[Config] = None,\\n max_attempts_on_client_error: int = 10,\\n ):\\n self._service_name = service_name\\n self._region_name = region_name\\n self._account_id = account_id\\n self._max_attempts_on_client_error = max_attempts_on_client_error\\n\\n # Build a clojure in order to recreate boto3 client if needed\\n\\n def _create_client(service: str = None):\\n return get_client(\\n session=get_session(\\n aws_creds=aws_creds,\\n profile_name=profile_name,\\n placebo=placebo,\\n placebo_data_path=placebo_data_path,\\n placebo_mode=placebo_mode,\\n ),\\n service_name=service if service else service_name,\\n region_name=region_name,\\n max_attempts=max_attempts,\\n config=config,\\n )\\n\\n # set client factory\\n self.create_client = _create_client\\n\\n # Build boto3 client\\n self._client = self.create_client()\",\n \"def _get_client(\\n session: Optional[boto3.Session] = None, region: Optional[str] = None\\n) -> S3Client:\\n return session.client(\\\"s3\\\") if session else boto3.client(\\\"s3\\\", region_name=region)\",\n \"def createaws() -> my_aws_api_library.MyAws:\\r\\n aws_cred_file_path = os.environ['AWS_CRED_FILE']\\r\\n comp_pubkey = os.environ['COMPANY_PUBKEY']\\r\\n my_aws = my_aws_api_library.MyAws(aws_cred_file_path, comp_pubkey)\\r\\n return my_aws\",\n \"def get_conn():\\n global S3Conn\\n\\n S3Conn = tinys3.Connection(plug.options['aws_access_key'],\\n plug.options['aws_secret_key'],\\n default_bucket=plug.options['bucket'], tls=True)\\n # Check that the given bucket exists by doing a HEAD request\\n try:\\n S3Conn.head_bucket()\\n except requests.HTTPError as httpe:\\n err = u\\\"Cannot reach Onitu bucket {}\\\".format(plug.options['bucket'])\\n if httpe.response.status_code == 404:\\n err += u\\\": The bucket doesn't exist.\\\"\\n if httpe.response.status_code == 403:\\n err += u\\\": Invalid credentials.\\\"\\n err += u\\\" Please check your Amazon S3 configuration - {}\\\".format(httpe)\\n raise DriverError(err)\\n plug.logger.debug(\\\"Connection with Amazon S3 account successful\\\")\\n return S3Conn\",\n \"def boto_client(account_id, service_name, region):\\n logger.info('Creating boto3 client for account_id: {}, '\\n 'service_name: {}'.format(account_id, service_name))\\n return boto3.client(service_name, region_name=region)\",\n \"def get_boto3_version() -> str:\\n return boto3_version\",\n \"def __get_s3_client(self):\\n if self.AWS_ACCESS_KEY:\\n s3_client = boto3.client(\\n \\\"s3\\\",\\n aws_access_key_id=self.AWS_ACCESS_KEY,\\n aws_secret_access_key=self.AWS_SECRET_ACCESS_KEY,\\n )\\n else:\\n s3_client = boto3.client(\\\"s3\\\")\\n return s3_client\",\n \"def _get_s3_object(self, s3_path):\\n bucket_name, key = S3Util.get_bucket_and_key(s3_path)\\n return self.s3_resource.Object(bucket_name, key)\",\n \"def __init__(self):\\n self.s3_resource = boto3.resource('s3')\\n self.s3_client = boto3.client('s3')\",\n \"def s3_client(self):\\n return boto3.client('s3', \\n aws_access_key_id=os.environ.get(\\\"MINIO_ACCESS_KEY\\\"),\\n aws_secret_access_key=os.environ.get(\\\"MINIO_SECRET_KEY\\\"),\\n endpoint_url=f'http://{os.environ.get(\\\"MINIO_SERVER\\\")}',\\n config=Config(signature_version='s3v4')\\n )\",\n \"def mock_s3_boto_returns() -> callable:\\n\\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\\n return BotoMockReturns()\\n\\n return client\",\n \"def get_boto3_client(\\n *,\\n aws_lambda_mode: bool,\\n service_name: str,\\n profile_name: str = 'kreodont',\\n connect_timeout: float = 0.2,\\n read_timeout: float = 0.4,\\n) -> Optional[boto3.client]:\\n known_services = ['translate', 'dynamodb', 's3']\\n if service_name in global_cached_boto3_clients:\\n print(f'{service_name} client taken from cache!')\\n return global_cached_boto3_clients[service_name]\\n\\n if service_name not in known_services:\\n raise Exception(\\n f'Not known service '\\n f'name {service_name}. The following '\\n f'service names known: {\\\", \\\".join(known_services)}')\\n\\n if aws_lambda_mode:\\n client = boto3.client(\\n service_name,\\n config=botocore.client.Config(\\n connect_timeout=connect_timeout,\\n read_timeout=read_timeout,\\n parameter_validation=False,\\n retries={'max_attempts': 0},\\n ),\\n )\\n else:\\n client = boto3.Session(profile_name=profile_name).client(service_name)\\n return client\\n\\n # saving to cache to to spend time to create it next time\\n global_cached_boto3_clients[service_name] = client\\n return client\",\n \"def _get_buckets():\\n\\n return __opts__[\\\"s3.buckets\\\"] if \\\"s3.buckets\\\" in __opts__ else {}\",\n \"def __init__(self):\\n self.aws = AWS()\",\n \"def get_elb(args=None, logger=None, stats=None):\\n if not args:\\n parser = get_parser()\\n add_elb_cli_arguments(parser)\\n args = parser.parse_args()\\n if not logger:\\n logger = get_logger(name=NAME)\\n\\n if not stats:\\n stats = get_stats(prefix=NAME)\\n\\n boto = Boto3(\\n log_level=args.boto_log_level,\\n access_key=args.boto_access_key,\\n secret_key=args.boto_secret_key,\\n region=args.boto_region,\\n logger=logger,\\n stats=stats,\\n )\\n return ELB(\\n boto=boto,\\n logger=logger,\\n stats=stats,\\n )\",\n \"def extract_aws_metadata(wrapped, instance, args, kwargs, return_value):\\n response = return_value\\n LOGGER.debug(\\n \\\"Extracting AWS metadata\\\", args=args, kwargs=kwargs,\\n )\\n if \\\"operation_name\\\" in kwargs:\\n operation_name = kwargs[\\\"operation_name\\\"]\\n else:\\n operation_name = args[0]\\n\\n # Most of the time the actual keyword arguments to the client call are\\n # passed in as a positial argument after the operation name.\\n if len(kwargs) == 0 and len(args) == 2:\\n kwargs = args[1]\\n\\n region_name = instance._client_config.region_name\\n\\n response_metadata = response.get(\\\"ResponseMetadata\\\")\\n\\n metadata = {\\\"aws\\\": {\\\"operation\\\": operation_name, \\\"region\\\": region_name}}\\n\\n if \\\"TableName\\\" in kwargs:\\n metadata[\\\"aws\\\"][\\\"table_name\\\"] = kwargs[\\\"TableName\\\"]\\n if \\\"QueueUrl\\\" in kwargs:\\n metadata[\\\"aws\\\"][\\\"queue_url\\\"] = kwargs[\\\"QueueUrl\\\"]\\n\\n if response_metadata is not None:\\n metadata[\\\"http\\\"] = {\\n \\\"response\\\": {\\\"status\\\": response_metadata[\\\"HTTPStatusCode\\\"]},\\n }\\n metadata[\\\"aws\\\"][\\\"request_id\\\"] = response_metadata[\\\"RequestId\\\"]\\n\\n return metadata\",\n \"def get_bucket(bucket):\\n if isinstance(bucket, Bucket):\\n return bucket\\n if isinstance(bucket, str):\\n return setup_bucket(bucket)\\n else:\\n raise TypeError(\\\"Expected bucket to be Bucket or str was %s \\\" % type(bucket))\",\n \"def _get_s3(key=None, username=None, secret=None, password=None, **kwargs):\\n if username is not None:\\n if key is not None:\\n raise KeyError(\\\"S3 storage options got secrets argument \\\"\\n \\\"collision. Please, use either `key` \\\"\\n \\\"storage option or password field in URLpath, \\\"\\n \\\"not both options together.\\\")\\n key = username\\n if key is not None:\\n kwargs['key'] = key\\n if password is not None:\\n if secret is not None:\\n raise KeyError(\\\"S3 storage options got secrets argument \\\"\\n \\\"collision. Please, use either `secret` \\\"\\n \\\"storage option or password field in URLpath, \\\"\\n \\\"not both options together.\\\")\\n secret = password\\n if secret is not None:\\n kwargs['secret'] = secret\\n return S3FileSystem(**kwargs)\",\n \"def _get_client(self):\\n try:\\n client = boto3_cached_conn(\\n 'iam', **self.conn_details)\\n\\n if not client:\\n raise ValueError(f\\\"boto3_cached_conn returned null IAM client for {self.account_number}\\\")\\n\\n return client\\n\\n except Exception as e:\\n self.on_failure.send(self, error=e)\\n self.current_app.logger.exception(f\\\"Failed to obtain boto3 IAM client for account {self.account_number}.\\\", exc_info=False)\\n raise e\",\n \"def _get_s3_key():\\n\\n key = __opts__[\\\"s3.key\\\"] if \\\"s3.key\\\" in __opts__ else None\\n keyid = __opts__[\\\"s3.keyid\\\"] if \\\"s3.keyid\\\" in __opts__ else None\\n service_url = __opts__[\\\"s3.service_url\\\"] if \\\"s3.service_url\\\" in __opts__ else None\\n verify_ssl = __opts__[\\\"s3.verify_ssl\\\"] if \\\"s3.verify_ssl\\\" in __opts__ else None\\n kms_keyid = __opts__[\\\"aws.kmw.keyid\\\"] if \\\"aws.kms.keyid\\\" in __opts__ else None\\n location = __opts__[\\\"s3.location\\\"] if \\\"s3.location\\\" in __opts__ else None\\n path_style = __opts__[\\\"s3.path_style\\\"] if \\\"s3.path_style\\\" in __opts__ else None\\n https_enable = (\\n __opts__[\\\"s3.https_enable\\\"] if \\\"s3.https_enable\\\" in __opts__ else None\\n )\\n\\n return (\\n key,\\n keyid,\\n service_url,\\n verify_ssl,\\n kms_keyid,\\n location,\\n path_style,\\n https_enable,\\n )\",\n \"def _get_client(self):\\n if self._client is None:\\n self._client = self.boto.client(service_name='elb', region_name=self.boto.cli_region)\\n\\n return self._client\",\n \"def __init__(self):\\n super(AWSBase, self).__init__()\\n self.region = config.ENV_DATA['region']\\n self.aws = AWSUtil(self.region)\",\n \"def __initiate_s3client():\\n boto3.setup_default_session(region_name=env.get('region'))\\n s3client = boto3.client(\\n 's3',\\n aws_access_key_id=env.get('access_key_id'),\\n aws_secret_access_key=env.get('secret_access_key')\\n )\\n return s3client\",\n \"def _get_resource(\\n session: Optional[boto3.Session] = None, region: Optional[str] = None\\n) -> S3ServiceResource:\\n return (\\n session.resource(\\\"s3\\\") if session else boto3.resource(\\\"s3\\\", region_name=region)\\n )\",\n \"def cli(profile, region, clear):\\n global SESSION, BUCKET_MANAGER, DOMAIN_MANAGER, CERT_MANAGER, \\\\\\n DIST_MANAGER, EC2_MANAGER, ECS_MANAGER\\n session_cfg = {}\\n if profile:\\n session_cfg['profile_name'] = profile\\n\\n if region:\\n session_cfg['region_name'] = region\\n\\n if clear:\\n util.clear_scr()\\n\\n# using **<variable> python expands it as a parameter=content\\n SESSION = boto3.Session(**session_cfg)\\n BUCKET_MANAGER = BucketManager(SESSION)\\n DOMAIN_MANAGER = DomainManager(SESSION)\\n CERT_MANAGER = CertificateManager(SESSION)\\n DIST_MANAGER = DistributionManager(SESSION)\\n EC2_MANAGER = EC2Manager(SESSION)\\n ECS_MANAGER = ECSManager(SESSION)\",\n \"def mock_amazon():\\n amazon = Amazon()\\n amazon.carrot1 = 'cenoura normal'\\n amazon.carrot2 = 'cenoura radioativa'\\n amazon.carrot_number = 575\\n return amazon\",\n \"def boto3_client(service='ec2'):\\n\\n def wrapper(func):\\n @wraps(func)\\n def wrapped_func(user, *args, **kwargs):\\n region = request.args.get('region') or 'eu-west-1'\\n client = get_client(user['access_key'], user['secret_key'],\\n region=region, service=service)\\n return func(user, client, *args, **kwargs)\\n\\n return wrapped_func\\n\\n return wrapper\",\n \"def __init__(self, access_key, secret_key, bucket):\\n # amazon s3 connection\\n self.s3_conn = None\\n self.__set_amazon_s3_service__(access_key, secret_key)\\n\\n # data bucket to be used\\n self.bucket = self.s3_conn.get_bucket(bucket)\",\n \"def __init__(self, repo_config: Repository, s3_client: Client, s3_bucket: str):\\n self.repo_config = repo_config\\n self.s3_client = s3_client\\n self.s3_bucket = s3_bucket\",\n \"def __init__(self, name: str, args: S3Args, opts: ResourceOptions = None):\\n super().__init__(\\\"custom:resource:S3\\\", name, {}, opts)\\n \\\"\\\"\\\"Override ComponentResource class constructor\\\"\\\"\\\"\\n\\n self.bucket_final = Output.all(\\n args.project_name,\\n args.bucket_name\\n ).apply(\\n lambda arg: f\\\"{arg[0]}-{arg[1]}\\\"\\n )\\n\\n self.bucket = aws.s3.Bucket(\\n args.bucket_name,\\n bucket=self.bucket_final,\\n acl=\\\"private\\\",\\n tags={\\n \\\"BillingCode\\\": args.billing_code,\\n \\\"Name\\\": self.bucket_final,\\n \\\"Project\\\": args.project_name,\\n },\\n server_side_encryption_configuration={\\n \\\"rule\\\": {\\n \\\"applyServerSideEncryptionByDefault\\\": {\\n \\\"sseAlgorithm\\\": \\\"AES256\\\",\\n },\\n },\\n },\\n opts=ResourceOptions(parent=self)\\n )\\n\\n self.deny_vpce_policy = Output.all(\\n args.ec2_role_arn,\\n self.bucket.arn,\\n args.vpc_endpoint_id\\n ).apply(\\n lambda args:\\n aws.iam.get_policy_document(\\n version=\\\"2012-10-17\\\",\\n statements=[\\n aws.iam.GetPolicyDocumentStatementArgs(\\n sid=\\\"Access-to-specific-VPCE-only\\\",\\n principals=[\\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\\n identifiers=[args[0]],\\n type=\\\"AWS\\\",\\n )\\n ],\\n actions=[\\n \\\"s3:DeleteObject\\\",\\n \\\"s3:GetObject\\\",\\n \\\"s3:ListBucket\\\",\\n \\\"s3:PutObject\\\",\\n \\\"s3:RestoreObject\\\",\\n ],\\n effect=\\\"Deny\\\",\\n resources=[\\n args[1],\\n args[1]+\\\"/*\\\"\\n ],\\n conditions=[\\n aws.iam.GetPolicyDocumentStatementConditionArgs(\\n test=\\\"StringNotEquals\\\",\\n values=[args[2]],\\n variable=\\\"aws:sourceVpce\\\",\\n )\\n ],\\n )\\n ],\\n opts=ResourceOptions(parent=self.bucket)\\n )\\n )\\n\\n admin_principals = []\\n for admin in args.admin_list:\\n admin_principals.append(f\\\"arn:aws:iam::{current_id}:user/{admin}\\\")\\n\\n self.admin_access_policy = Output.all(self.bucket.arn).apply(\\n lambda args:\\n aws.iam.get_policy_document(\\n version=\\\"2012-10-17\\\",\\n statements=[\\n aws.iam.GetPolicyDocumentStatementArgs(\\n sid=\\\"admin-access\\\",\\n principals=[\\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\\n identifiers=admin_principals,\\n type=\\\"AWS\\\",\\n )\\n ],\\n actions=[\\\"s3:*\\\"],\\n effect=\\\"Allow\\\",\\n resources=[\\n args[0],\\n args[0]+\\\"/*\\\"\\n ],\\n )\\n ],\\n opts=ResourceOptions(parent=self.bucket)\\n )\\n )\\n\\n self.policy = aws.s3.BucketPolicy(\\n f'{args.bucket_name}-policy',\\n bucket=self.bucket.id,\\n policy=aws.iam.get_policy_document(\\n source_json=self.deny_vpce_policy.json,\\n override_json=self.admin_access_policy.json,\\n ).json,\\n opts=ResourceOptions(parent=self.bucket)\\n )\\n\\n self.register_outputs({})\",\n \"def read_command_line():\\n\\n parser = argparse.ArgumentParser(\\n description='Mount an S3 bucket as a read-only filesystem')\\n\\n # All arguments must default to None so that they can be filtered\\n # out of the returned dictionary; otherwise, the argument defaults\\n # will override settings from the configuration file.\\n parser.add_argument('mount-point',\\n help='where to mount the bucket')\\n parser.add_argument('--bucket', dest='bucket',\\n help='S3 bucket to mount')\\n parser.add_argument('--access-key', dest='access-key',\\n help='access key for the bucket')\\n parser.add_argument('--secret-key', dest='secret-key',\\n help='secret key for the bucket')\\n\\n parser.add_argument('--config-file', dest='config-file',\\n default='~/.s3viewport.yaml',\\n help='path to the configuration file')\\n\\n parser.add_argument('--no-input', dest='no-input',\\n action='store_true', default=None,\\n help=\\\"don't prompt for missing information\\\")\\n parser.add_argument('--foreground', dest='foreground',\\n action='store_true', default=None,\\n help='run filesystem server in the foreground')\\n\\n # TODO: Describe configuration file format\\n\\n args = parser.parse_args()\\n return filter_dict(vars(args), lambda k, v: v is not None)\",\n \"def get_s3_client(profile_name):\\n try:\\n session = boto3.session.Session(profile_name=profile_name)\\n except ProfileNotFound as e:\\n print(e, file=sys.stderr)\\n raise FailureException from e\\n return session.resource('s3')\",\n \"def xray_botocore_api_call(wrapped, instance, args, kwargs):\\n return generic_xray_wrapper(\\n wrapped,\\n instance,\\n args,\\n kwargs,\\n name=get_service_name,\\n namespace=\\\"aws\\\",\\n metadata_extractor=extract_aws_metadata,\\n error_handling_type=ERROR_HANDLING_BOTOCORE,\\n )\",\n \"def __init__(__self__, resource_name, opts=None, aws_kms_key_arn=None, content_config=None, content_config_permissions=None, input_bucket=None, name=None, notifications=None, output_bucket=None, role=None, thumbnail_config=None, thumbnail_config_permissions=None, __props__=None, __name__=None, __opts__=None):\\n if __name__ is not None:\\n warnings.warn(\\\"explicit use of __name__ is deprecated\\\", DeprecationWarning)\\n resource_name = __name__\\n if __opts__ is not None:\\n warnings.warn(\\\"explicit use of __opts__ is deprecated, use 'opts' instead\\\", DeprecationWarning)\\n opts = __opts__\\n if opts is None:\\n opts = pulumi.ResourceOptions()\\n if not isinstance(opts, pulumi.ResourceOptions):\\n raise TypeError('Expected resource options to be a ResourceOptions instance')\\n if opts.version is None:\\n opts.version = utilities.get_version()\\n if opts.id is None:\\n if __props__ is not None:\\n raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')\\n __props__ = dict()\\n\\n __props__['aws_kms_key_arn'] = aws_kms_key_arn\\n __props__['content_config'] = content_config\\n __props__['content_config_permissions'] = content_config_permissions\\n if input_bucket is None:\\n raise TypeError(\\\"Missing required property 'input_bucket'\\\")\\n __props__['input_bucket'] = input_bucket\\n __props__['name'] = name\\n __props__['notifications'] = notifications\\n __props__['output_bucket'] = output_bucket\\n if role is None:\\n raise TypeError(\\\"Missing required property 'role'\\\")\\n __props__['role'] = role\\n __props__['thumbnail_config'] = thumbnail_config\\n __props__['thumbnail_config_permissions'] = thumbnail_config_permissions\\n __props__['arn'] = None\\n super(Pipeline, __self__).__init__(\\n 'aws:elastictranscoder/pipeline:Pipeline',\\n resource_name,\\n __props__,\\n opts)\",\n \"def boto_init_s3(bucket_name):\\n c = boto.connect_s3(aws_access_key_id=settings.AWS_ACCESS_KEY_ID,\\n aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY)\\n b = c.get_bucket(bucket_name)\\n\\n return b\",\n \"def get_object(Bucket=None, IfMatch=None, IfModifiedSince=None, IfNoneMatch=None, IfUnmodifiedSince=None, Key=None, Range=None, ResponseCacheControl=None, ResponseContentDisposition=None, ResponseContentEncoding=None, ResponseContentLanguage=None, ResponseContentType=None, ResponseExpires=None, VersionId=None, SSECustomerAlgorithm=None, SSECustomerKey=None, SSECustomerKeyMD5=None, RequestPayer=None, PartNumber=None):\\n pass\",\n \"def get_config():\\n\\n # Retrieve config from S3\\n config = get_json(BUCKET, CONFIG_S3_KEY)\\n\\n # If config does not currently exist, create a default one and save to S3\\n if not config:\\n config = generate_config()\\n save_config(config)\\n\\n return config\",\n \"def fetch_boto3_client(service_name: str):\\n region_name = load_aws_region_name()\\n cache_key = f\\\"{region_name}-{service_name}\\\"\\n\\n if CLIENT_CACHE.get(cache_key):\\n return CLIENT_CACHE[cache_key]\\n\\n config = Config(\\n region_name=region_name,\\n signature_version=\\\"v4\\\",\\n retries={\\\"max_attempts\\\": 10, \\\"mode\\\": \\\"standard\\\"},\\n )\\n client = boto3.client(service_name, config=config) # type: ignore\\n\\n CLIENT_CACHE[cache_key] = client\\n\\n return client\",\n \"def get_client(access_key, secret_key, region='eu-west-1', service='ec2'):\\n return boto3.client(\\n service,\\n aws_access_key_id=access_key,\\n aws_secret_access_key=secret_key,\\n region_name=region\\n )\",\n \"def aws():\\n pass\",\n \"def stubbed_s3_client():\\n stubber = stub.Stubber(app.S3_CLIENT)\\n\\n yield stubber\\n\\n stubber.deactivate()\",\n \"def s3_resource(self):\\n return boto3.resource('s3', \\n aws_access_key_id=os.environ.get(\\\"MINIO_ACCESS_KEY\\\"),\\n aws_secret_access_key=os.environ.get(\\\"MINIO_SECRET_KEY\\\"),\\n endpoint_url=f'http://{os.environ.get(\\\"MINIO_SERVER\\\")}',\\n config=Config(signature_version='s3v4')\\n )\",\n \"def __init__(self,region=None, bucket=None, keyPrefix='logs', fqdn=None):\\n object.__init__(self)\\n \\n if (not region):\\n raise MissingArgumentException(\\\"The AWS region name must be provided.\\\")\\n #endIf\\n self.region = region\\n \\n if (not bucket):\\n raise MissingArgumentException(\\\"The S3 bucket name for the exported logs must be provided.\\\")\\n #endIf\\n self.bucket = bucket\\n \\n self.keyPrefix = keyPrefix\\n \\n if (not fqdn):\\n raise MissingArgumentException(\\\"The FQDN of the node exporting the logs must be provided.\\\")\\n #endIf\\n self.fqdn = fqdn\\n \\n self.s3Helper = S3Helper(region=region)\\n \\n if (not self.s3Helper.bucketExists(bucket)):\\n self.s3Helper.createBucket(bucket,region=region)\\n #endIf\",\n \"def __init__(self, aws_access_key_id=None, aws_secret_access_key=None,\\n is_secure=True, port=None, proxy=None, proxy_port=None,\\n proxy_user=None, proxy_pass=None,\\n host=None, debug=0, https_connection_factory=None,\\n calling_format=None, path='/', provider='aws',\\n bucket_class=None, mock_s3_fs=None):\\n # use mock_s3_fs even if it's {}\\n self.mock_s3_fs = combine_values({}, mock_s3_fs)\\n self.endpoint = host or 's3.amazonaws.com'\",\n \"def get_boto3_bucket(bucket_name): # pragma: no cover\\n raise DeprecationWarning(\\\"get_boto3_bucket() is deprecated\\\")\",\n \"def botoconn(args):\\n try:\\n return boto.ec2.autoscale.connect_to_region(args.region)\\n except:\\n print(\\\"FATAL ERROR:\\\")\\n traceback.print_exc(file=sys.stdout)\\n sys.exit(\\\"Failed to connect to AWS. Did you set the shell vars right?\\\")\",\n \"def make_sdk(options=None, **kwargs):\\n from openstack import connection\\n cloud = get_config(options=options, **kwargs)\\n return connection.from_config(cloud_config=cloud, options=options)\",\n \"def __init__(self, *, bucket_arn: typing.Optional[str]=None, bucket_domain_name: typing.Optional[str]=None, bucket_dual_stack_domain_name: typing.Optional[str]=None, bucket_name: typing.Optional[str]=None, bucket_regional_domain_name: typing.Optional[str]=None, bucket_website_new_url_format: typing.Optional[bool]=None, bucket_website_url: typing.Optional[str]=None, encryption_key: typing.Optional[aws_cdk.aws_kms.IKey]=None):\\n self._values = {\\n }\\n if bucket_arn is not None: self._values[\\\"bucket_arn\\\"] = bucket_arn\\n if bucket_domain_name is not None: self._values[\\\"bucket_domain_name\\\"] = bucket_domain_name\\n if bucket_dual_stack_domain_name is not None: self._values[\\\"bucket_dual_stack_domain_name\\\"] = bucket_dual_stack_domain_name\\n if bucket_name is not None: self._values[\\\"bucket_name\\\"] = bucket_name\\n if bucket_regional_domain_name is not None: self._values[\\\"bucket_regional_domain_name\\\"] = bucket_regional_domain_name\\n if bucket_website_new_url_format is not None: self._values[\\\"bucket_website_new_url_format\\\"] = bucket_website_new_url_format\\n if bucket_website_url is not None: self._values[\\\"bucket_website_url\\\"] = bucket_website_url\\n if encryption_key is not None: self._values[\\\"encryption_key\\\"] = encryption_key\",\n \"def create_boto_session(account):\\n aws_access_key_id = account['aws_access_key_id']\\n aws_secret_access_key = account['aws_secret_access_key']\\n region = account['region']\\n #aws_profile = account['aws_profile']\\n\\n\\n session = boto3.Session(\\n aws_access_key_id=aws_access_key_id,\\n aws_secret_access_key=aws_secret_access_key,\\n region_name=region,\\n #profile_name=aws_profile,\\n )\\n\\n return session\",\n \"def s3(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"s3\\\")\",\n \"def get_s3_connection(self):\\n return connection.S3Connection(\\n config.get('nereid_s3', 'access_key'),\\n config.get('nereid_s3', 'secret_key')\\n )\",\n \"def setup_s3_client(job_data):\\n key_id = job_data['artifactCredentials']['accessKeyId']\\n key_secret = job_data['artifactCredentials']['secretAccessKey']\\n session_token = job_data['artifactCredentials']['sessionToken']\\n\\n session = Session(aws_access_key_id=key_id,\\n aws_secret_access_key=key_secret,\\n aws_session_token=session_token)\\n return session.client('s3', config=botocore.client.Config(signature_version='s3v4'))\",\n \"def __init__(\\n self, source, history_path, profile_name, print_request_time=False, output_format=formatter.JSON, headers=None\\n ):\\n self.history_path = history_path\\n self.output_format = output_format\\n self.print_request_time = print_request_time\\n self.profile_name = profile_name\\n self.config_file_path = os.path.join(os.path.expanduser(\\\"~\\\"), \\\".open-cli3-config/config.cfg\\\")\\n\\n self.logger = logging.getLogger(\\\"open-cli3\\\")\\n self.logger.debug(\\n \\\"Creating a python client based on %s, headers: %s\\\", source, headers\\n )\\n\\n headers = self._parse_headers(headers)\\n\\n # parse profile_name and/or source attributes\\n endpoint_opt = CONFIG_OPTIONS[0]\\n if profile_name:\\n config_obj = self._get_config_object(self.config_file_path)\\n endpoint = \\\"\\\"\\n if config_obj:\\n endpoint = self._get_option_from_config_obj(config_obj, endpoint_opt)\\n else:\\n self.logger.debug(\\\"You don't have open-cli3 config file, so we will use source attribute instead\\\")\\n if source:\\n endpoint = source\\n else:\\n self.logger.debug(\\\"You don't have open-cli3 config file for profile name and you additionally \\\"\\n \\\"didn't provide source attribute instead\\\")\\n elif source:\\n endpoint = source\\n else:\\n raise Exception(\\\"You should specify at least source or profile name (if exists) \\\"\\n \\\"in order to run open-cli3. Check 'help' (-h, --help) for more information\\\")\\n\\n # Handle non-url sources\\n spec = None\\n if os.path.exists(endpoint):\\n with open(endpoint) as f:\\n spec = yaml.safe_load(f.read())\\n\\n if not spec:\\n spec = requests.get(endpoint).json()\\n self.client = OpenAPIExt(spec)\\n\\n # Get the CLI prompt name from the spec title\\n self.name = self.client.info.title\\n\\n # Initialize a command parser based on the client\\n self.command_parser = parser.CommandParser(client=self.client)\",\n \"def __init__(self, project_id, bucket_name):\\n self.project_id = project_id\\n self.bucket_name = bucket_name\\n self.client = storage.Client(project=project_id)\\n self.bucket = self.client.get_bucket(bucket_name)\",\n \"def mock_s3_boto_raise() -> callable:\\n\\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\\n return BotoMockRaise()\\n\\n return client\",\n \"def default_glacier_wrapper(args, **kwargs):\\n return GlacierWrapper(args.aws_access_key,\\n args.aws_secret_key,\\n args.region,\\n bookkeeping=args.bookkeeping,\\n no_bookkeeping=args.no_bookkeeping,\\n bookkeeping_domain_name=args.bookkeeping_domain_name,\\n sdb_access_key=args.sdb_access_key,\\n sdb_secret_key=args.sdb_secret_key,\\n sdb_region=args.sdb_region,\\n # sns_enable=args.sns_enable,\\n # sns_topic=args.sns_topic,\\n # sns_monitored_vaults=args.sns_monitored_vaults,\\n # sns_options=args.sns_options,\\n # config_object=args.config_object,\\n logfile=args.logfile,\\n loglevel=args.loglevel,\\n logtostdout=args.logtostdout)\",\n \"def aws(ctx): # pylint: disable=unused-argument\\n pass # pylint: disable=unnecessary-pass\",\n \"def __init__(__self__,\\n resource_name: str,\\n args: BucketACLArgs,\\n opts: Optional[pulumi.ResourceOptions] = None):\\n ...\",\n \"def __init__(self, service, acces_key, secret_key):\\n \\n self.client = boto3.client(\\n service,\\n aws_access_key_id=acces_key,\\n aws_secret_access_key=secret_key,\\n )\",\n \"def parse_args():\\n logging.getLogger().debug(\\\"parse_args()\\\")\\n parser = argparse.ArgumentParser(description='AWS instance health')\\n parser.add_argument('-v', '--verbose', action='count', default=0,\\n help='verbosity level, specify multiple')\\n parser.add_argument('--clusterid', default=\\\"default\\\",\\n help='clusterid')\\n parser.add_argument('--namespace', default=\\\"default\\\",\\n help='Project namespace')\\n args = parser.parse_args()\\n if args.verbose > 0:\\n logging.getLogger().setLevel(logging.DEBUG)\\n return args\",\n \"def connect():\\n # Reduce the number of retries to 1 if it's not set already so requests\\n # fail quickly rather than delaying the downloading of photos\\n if not boto.config.has_option('Boto', 'num_retries'):\\n if not boto.config.has_section('Boto'):\\n boto.config.add_section('Boto')\\n boto.config.set('Boto', 'num_retries', '1')\\n cfg = settings.config()\\n try:\\n aws_access_key = cfg.get('s3', 'access_key')\\n aws_secret_key = cfg.get('s3', 'secret_key')\\n aws_s3_bucket = cfg.get('s3', 'bucket')\\n except NoOptionError as e:\\n l.error(\\\"Error reading a setting from the config.cfg file: %s\\\", e)\\n raise\\n conn = S3Connection(aws_access_key, aws_secret_key)\\n bucket = conn.get_bucket(aws_s3_bucket, validate=False)\\n return bucket\",\n \"def test_s3_get_bucket_info(self, mock_class):\\n\\n mock_class().list_objects.return_value = list(s3_fake_objects[\\\"bucket1\\\"].keys())\\n mock_class().stat_object.side_effect = list(s3_fake_objects[\\\"bucket1\\\"].values())\\n return_value = servicex_storage.s3_storage_manager.BucketInfo(name=\\\"bucket1\\\",\\n size=60,\\n last_modified=datetime.datetime(\\n year=2021, month=10,\\n day=1, hour=10,\\n minute=10, second=10))\\n test_obj = servicex_storage.s3_storage_manager.S3Store(s3_endpoint=\\\"abc\\\",\\n access_key=\\\"abc\\\",\\n secret_key=\\\"abc\\\")\\n bucket_info = test_obj.get_bucket_info(\\\"bucket1\\\")\\n self.assertEqual(bucket_info, return_value)\",\n \"def get_client(self, service, region, account):\\n\\n client = AwsApi.CLIENTS_CACHE.get((service, region, account))\\n if client:\\n return client # from cache\\n\\n if region == '*':\\n eprint(\\\"warn: unknown region ('*'), using the default ('{}')\\\", self.default_region)\\n region = self.default_region\\n\\n if account == '*':\\n eprint(\\\"warn: unknown account ('*'), using default session\\\")\\n client = self.session.client(\\n service,\\n region_name=region\\n )\\n elif account == self.default_account:\\n client = self.session.client(\\n service,\\n region_name=region\\n )\\n elif self.args.no_input:\\n eprint(\\\"warn: unknown account ('{}') and --no-input set, using default session\\\", account)\\n client = self.session.client(\\n service,\\n region_name=region\\n )\\n else:\\n account_config = self.config.setdefault('aws', {}).setdefault('accounts', {}).setdefault(account, {})\\n if not 'profile' in account_config:\\n account_config['profile'] = input(\\\"Enter configured AWS profile for {}: \\\".format(account))\\n client = boto3.Session(profile_name=account_config['profile']).client(service, region_name=region)\\n\\n AwsApi.CLIENTS_CACHE[(service, region, account)] = client\\n return client\",\n \"def make_s3(sitename):\\n return s3.S3(sitename)\",\n \"def s3_client(s3_url):\\n with moto.mock_s3():\\n with clients.S3Client(s3_url) as client:\\n yield client\",\n \"def cli():\\n parser=argparse.ArgumentParser(\\n description = 'Rotate through a given AWS account for per application keys. Keys are temporarily loaded into environment variables. Asks for a SSO cookie value.')\\n parser.add_argument('role', help = 'Role to harvest session keys as')\\n parser.add_argument(\\n '-c', '--command', help = 'Custom command to run.', default = None)\\n parser.add_argument('-a', '--application',\\n help = 'Provide a specific application', default = None)\\n parser.add_argument(\\n '-l', '--list', help = 'Provide a list of applications. Lists should be one Application#,Application Name per line', default = None)\\n parser.add_argument(\\n '-p', '--awspx', help = 'Run awspx across all applications. Install from https://github.com/FSecureLABS/awspx', action=argparse.BooleanOptionalAction, default = False)\\n parser.add_argument(\\n '-s', '--scoutsuite', help = 'Run ScoutSuite across all applications. Install from https://github.com/nccgroup/ScoutSuite', action=argparse.BooleanOptionalAction, default = False)\\n args=parser.parse_args()\\n\\n print(\\\"Please provide an SSO cookie value. Obtain from the dev console on a web browser, probably named something like x-amz-sso_authn\\\")\\n token=input()\\n\\n return args.role, args.list, args.application, args.command, token, args.awspx, args.scoutsuite\",\n \"def from_bucket_attributes(cls, scope: aws_cdk.core.Construct, id: str, *, bucket_arn: typing.Optional[str]=None, bucket_domain_name: typing.Optional[str]=None, bucket_dual_stack_domain_name: typing.Optional[str]=None, bucket_name: typing.Optional[str]=None, bucket_regional_domain_name: typing.Optional[str]=None, bucket_website_new_url_format: typing.Optional[bool]=None, bucket_website_url: typing.Optional[str]=None, encryption_key: typing.Optional[aws_cdk.aws_kms.IKey]=None) -> \\\"IBucket\\\":\\n attrs = BucketAttributes(bucket_arn=bucket_arn, bucket_domain_name=bucket_domain_name, bucket_dual_stack_domain_name=bucket_dual_stack_domain_name, bucket_name=bucket_name, bucket_regional_domain_name=bucket_regional_domain_name, bucket_website_new_url_format=bucket_website_new_url_format, bucket_website_url=bucket_website_url, encryption_key=encryption_key)\\n\\n return jsii.sinvoke(cls, \\\"fromBucketAttributes\\\", [scope, id, attrs])\",\n \"def _client(region: str = \\\"\\\") -> Any:\\n region_name = region or os.environ.get(\\\"AWS_DEFAULT_REGION\\\", AWS_DEFAULT_REGION)\\n return boto3.client(\\\"sqs\\\", region_name=region_name)\",\n \"def client() -> botocore.client.BaseClient:\\n global _client\\n if _client is None:\\n endpoint_url = os.environ.get('LOCALSTACK_SNS_URL')\\n # If endpoint_url is None, botocore constructs the default AWS URL\\n _client = boto3.client('sns', endpoint_url=endpoint_url)\\n return _client\",\n \"def getS3Object(self, bucket=None, s3Path=None, destPath=None):\\n methodName = \\\"getS3Object\\\"\\n \\n if (not bucket):\\n raise MissingArgumentException(\\\"An S3 bucket name (bucket) must be provided.\\\")\\n #endIf\\n \\n if (not s3Path):\\n raise MissingArgumentException(\\\"An S3 object key (s3Path) must be provided.\\\")\\n #endIf\\n \\n if (not destPath):\\n raise MissingArgumentException(\\\"A file destination path (destPath) must be provided.\\\")\\n #endIf\\n \\n TR.info(methodName, \\\"STARTED download of object: %s from bucket: %s, to: %s\\\" % (s3Path,bucket,destPath))\\n \\n s3url = self.s3.generate_presigned_url(ClientMethod='get_object',Params={'Bucket': bucket, 'Key': s3Path},ExpiresIn=60)\\n TR.fine(methodName,\\\"Getting S3 object with pre-signed URL: %s\\\" % s3url)\\n #endIf\\n \\n destDir = os.path.dirname(destPath)\\n if (not os.path.exists(destDir)):\\n os.makedirs(destDir)\\n TR.info(methodName,\\\"Created object destination directory: %s\\\" % destDir)\\n #endIf\\n \\n r = requests.get(s3url, stream=True)\\n with open(destPath, 'wb') as destFile:\\n shutil.copyfileobj(r.raw, destFile)\\n #endWith\\n\\n TR.info(methodName, \\\"COMPLETED download from bucket: %s, object: %s, to: %s\\\" % (bucket,s3Path,destPath))\\n \\n return destPath\",\n \"def s3_pickle_io_manager(init_context):\\n s3_session = init_context.resources.s3\\n s3_bucket = init_context.resource_config[\\\"s3_bucket\\\"]\\n s3_prefix = init_context.resource_config.get(\\\"s3_prefix\\\") # s3_prefix is optional\\n pickled_io_manager = PickledObjectS3IOManager(s3_bucket, s3_session, s3_prefix=s3_prefix)\\n return pickled_io_manager\",\n \"def __init__(self, looking_for_tags: dict):\\n self.looking_for_tags = looking_for_tags\\n self.ec2 = boto3.resource('ec2')\",\n \"def _get_aws_s3_connection(cls, access_key, secret_access_key):\\n return boto.connect_s3(access_key, secret_access_key)\",\n \"def assume_role():\\n try:\\n return boto3.client('sts')\\n except Exception as error:\\n logger.info(\\\"Creating a boto client failed with the following error : {}\\\".format(error))\",\n \"def __init__(__self__,\\n resource_name: str,\\n args: ObjectStorageKeyArgs,\\n opts: Optional[pulumi.ResourceOptions] = None):\\n ...\",\n \"def get_client():\\n global _CLIENT\\n if _CLIENT is None:\\n from stsci_aws_utils.s3 import ConcurrentS3Client\\n _CLIENT = ConcurrentS3Client()\\n atexit.register(_CLIENT.close)\\n return _CLIENT\",\n \"def provision_create(ec2_conn, iam_conn, interana_account_id, s3_bucket_path, interana_user):\\n try:\\n user, all_policies = check_account_setup(iam_conn, interana_user)\\n except Exception, e:\\n print \\\"Warning could not verify user interana_user {} because {}\\\".format(interana_user, e)\\n\\n infile = 's3_bucket_list.policy.template'\\n outfile = 's3_bucket_list.policy'\\n\\n bucket_name, bucket_prefix = get_bucket_name_prefix(s3_bucket_path)\\n\\n all_lines = ''\\n with open(infile, 'r') as tmp_fh, open(outfile, 'w') as out_fh:\\n for line in tmp_fh:\\n re_proxy = re.compile('<INTERANA_ACCOUNT_ID>')\\n translate = re_proxy.sub(interana_account_id, line)\\n\\n re_proxy = re.compile('<BUCKET_NAME>')\\n translate = re_proxy.sub(bucket_name, translate)\\n\\n re_proxy = re.compile('<BUCKET_PREFIX>')\\n translate = re_proxy.sub(bucket_prefix, translate)\\n\\n out_fh.write(translate)\\n all_lines += translate.strip()\\n\\n if len(bucket_prefix) < 1:\\n with open(outfile, 'r') as in_fh:\\n policy = json.load(in_fh)\\n del policy['Statement'][1]['Condition']\\n all_lines = json.dumps(policy)\\n print \\\"Download file to check GetObject Access {}\\\".format(outfile)\\n with open(outfile, 'w') as out_fh:\\n json.dump(policy, out_fh, indent=4)\\n\\n print \\\"****policy file {}***\\\".format(outfile)\\n\\n print json.dumps(json.loads(all_lines), indent=True)\",\n \"def get_aiobotocore_version() -> str:\\n try:\\n from aiobotocore import __version__ as version # type: ignore\\n except ImportError:\\n raise RuntimeError(\\\"aiobotocore is not installed\\\")\\n return version\",\n \"def __init__(self, s3_connection, bucket_name, bucket_url):\\n self.s3 = s3_connection\\n self.bucket_name = bucket_name\\n self.bucket_url = bucket_url\",\n \"def get_s3_bucket(env):\\n s3 = boto3.resource('s3')\\n bucket_name = 'govuk-%s-fastly-logs' % env\\n logging.info('S3 bucket name: %s', bucket_name)\\n return s3.Bucket(bucket_name)\",\n \"def create_connection(bucket_name):\\n conn = boto.connect_s3()\\n bucket = conn.get_bucket(bucket_name)\\n return conn, bucket\",\n \"def _getStorageClient(app):\\n \\n if config.get(\\\"aws_s3_gateway\\\"):\\n log.debug(\\\"_getStorageClient getting S3Client\\\")\\n client = S3Client(app)\\n else:\\n log.debug(\\\"_getStorageClient getting MemClient\\\")\\n client = MemClient(app)\\n return client\",\n \"def mock_s3_bucket():\\n with moto.mock_s3():\\n bucket_name = \\\"mock-bucket\\\"\\n my_config = Config(region_name=\\\"us-east-1\\\")\\n s3_client = boto3.client(\\\"s3\\\", config=my_config)\\n s3_client.create_bucket(Bucket=bucket_name)\\n yield bucket_name\",\n \"def s3(self) -> Optional['outputs.DataRepositoryAssociationS3']:\\n return pulumi.get(self, \\\"s3\\\")\",\n \"def get_backend(cls, backend=None):\\n return backend if backend else aws.S3Backend(\\n category=cls.default_category, bucket_name=cls.default_bucket)\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.767378","0.62587637","0.5730653","0.5656308","0.5650132","0.5583414","0.5518301","0.5486912","0.5486354","0.5425678","0.54201967","0.541126","0.5337484","0.5296419","0.5290054","0.52891475","0.52808595","0.5232185","0.52223915","0.5181535","0.5169401","0.51678115","0.513606","0.5107055","0.5100332","0.5096866","0.5081632","0.50758284","0.5073012","0.50668836","0.5061571","0.5016826","0.5010509","0.499977","0.49929443","0.49905074","0.4972182","0.4912176","0.48982242","0.48842108","0.4882567","0.48716354","0.4856164","0.48433656","0.48422894","0.48235863","0.48230156","0.48154992","0.4807726","0.4802404","0.48017326","0.47707713","0.47668004","0.47625515","0.47619182","0.47583836","0.47531042","0.47431558","0.4738317","0.47378638","0.4730804","0.47275138","0.4724893","0.47158134","0.47144526","0.47107112","0.47002608","0.46928626","0.46801847","0.466224","0.4654274","0.4646841","0.46464366","0.46369153","0.4630233","0.46268362","0.46215487","0.46134368","0.46067974","0.46057704","0.46000382","0.45985174","0.4579573","0.4573986","0.4570798","0.45651367","0.45612717","0.45582795","0.45573086","0.45544958","0.4550745","0.45439988","0.45434558","0.4529864","0.45264536","0.452627","0.45237264","0.45235336","0.45217866","0.4521478"],"string":"[\n \"0.767378\",\n \"0.62587637\",\n \"0.5730653\",\n \"0.5656308\",\n \"0.5650132\",\n \"0.5583414\",\n \"0.5518301\",\n \"0.5486912\",\n \"0.5486354\",\n \"0.5425678\",\n \"0.54201967\",\n \"0.541126\",\n \"0.5337484\",\n \"0.5296419\",\n \"0.5290054\",\n \"0.52891475\",\n \"0.52808595\",\n \"0.5232185\",\n \"0.52223915\",\n \"0.5181535\",\n \"0.5169401\",\n \"0.51678115\",\n \"0.513606\",\n \"0.5107055\",\n \"0.5100332\",\n \"0.5096866\",\n \"0.5081632\",\n \"0.50758284\",\n \"0.5073012\",\n \"0.50668836\",\n \"0.5061571\",\n \"0.5016826\",\n \"0.5010509\",\n \"0.499977\",\n \"0.49929443\",\n \"0.49905074\",\n \"0.4972182\",\n \"0.4912176\",\n \"0.48982242\",\n \"0.48842108\",\n \"0.4882567\",\n \"0.48716354\",\n \"0.4856164\",\n \"0.48433656\",\n \"0.48422894\",\n \"0.48235863\",\n \"0.48230156\",\n \"0.48154992\",\n \"0.4807726\",\n \"0.4802404\",\n \"0.48017326\",\n \"0.47707713\",\n \"0.47668004\",\n \"0.47625515\",\n \"0.47619182\",\n \"0.47583836\",\n \"0.47531042\",\n \"0.47431558\",\n \"0.4738317\",\n \"0.47378638\",\n \"0.4730804\",\n \"0.47275138\",\n \"0.4724893\",\n \"0.47158134\",\n \"0.47144526\",\n \"0.47107112\",\n \"0.47002608\",\n \"0.46928626\",\n \"0.46801847\",\n \"0.466224\",\n \"0.4654274\",\n \"0.4646841\",\n \"0.46464366\",\n \"0.46369153\",\n \"0.4630233\",\n \"0.46268362\",\n \"0.46215487\",\n \"0.46134368\",\n \"0.46067974\",\n \"0.46057704\",\n \"0.46000382\",\n \"0.45985174\",\n \"0.4579573\",\n \"0.4573986\",\n \"0.4570798\",\n \"0.45651367\",\n \"0.45612717\",\n \"0.45582795\",\n \"0.45573086\",\n \"0.45544958\",\n \"0.4550745\",\n \"0.45439988\",\n \"0.45434558\",\n \"0.4529864\",\n \"0.45264536\",\n \"0.452627\",\n \"0.45237264\",\n \"0.45235336\",\n \"0.45217866\",\n \"0.4521478\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.81879747"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":1793,"cells":{"query":{"kind":"string","value":"Proxies calls to ``boto.`` methods."},"document":{"kind":"string","value":"def __getattr__(self, attr):\n\n # This way, we don't have to write: rv = Boto().boto.some_call\n # But can just write: rv = Boto().some_call\n # This also gives us hooks for future logging/timers/etc and\n # extended wrapping of things the attributes return if we so\n # choose.\n\n self._logger.debug('Calling wrapped boto attribute: %s on %s', attr, self)\n\n attr = getattr(self._boto, attr)\n\n if callable(attr):\n self._logger.debug(\"Boto attribute '%s' is callable\", attr)\n\n @wraps(attr)\n def wrapper(*args, **kwargs):\n return attr(*args, **kwargs)\n return wrapper\n\n return attr"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def monkey_patch_botocore_for_xray():\n wrapt.wrap_function_wrapper(\n \"botocore.client\", \"BaseClient._make_api_call\", xray_botocore_api_call,\n )","def xray_botocore_api_call(wrapped, instance, args, kwargs):\n return generic_xray_wrapper(\n wrapped,\n instance,\n args,\n kwargs,\n name=get_service_name,\n namespace=\"aws\",\n metadata_extractor=extract_aws_metadata,\n error_handling_type=ERROR_HANDLING_BOTOCORE,\n )","def mock_s3_boto_returns() -> callable:\n\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\n return BotoMockReturns()\n\n return client","def stubbed_s3_client():\n stubber = stub.Stubber(app.S3_CLIENT)\n\n yield stubber\n\n stubber.deactivate()","def proxy_method(self, rest_path, sign, kwargs):","def get_boto(args=None, logger=None, stats=None):\n return Boto(**__get_arguments(args, logger, stats))","def _imp_proxy_method(self, name, func):\n pass","def aws():\n pass","def aws(ctx): # pylint: disable=unused-argument\n pass # pylint: disable=unnecessary-pass","def mock_s3_client():\n with mock_s3():\n yield","def test_invoke_default_processor(mock_boto3_client, mock_boto3_resource):\n mock_boto3_client.return_value.head_object.return_value = {\n \"AcceptRanges\": \"bytes\",\n \"ContentLength\": 4372,\n \"ContentType\": \"binary/octet-stream\",\n \"ETag\": \"287e8177e8ffbc9ca08fb2afabd237ba\",\n \"LastModified\": \"Wed, 21 Nov 2018 20:05:15 GMT\",\n \"Metadata\": {\n \"s3_object_name_raw_tag\": \"s3://mock-datalake-bucket/dummy/dummy-0.txt\"\n },\n \"ResponseMetadata\": {\n \"HTTPHeaders\": {\n \"accept-ranges\": \"bytes\",\n \"content-length\": \"4372\",\n \"content-type\": \"binary/octet-stream\",\n \"date\": \"Wed, 21 Nov 2018 20:05:19 GMT\",\n \"etag\": \"287e8177e8ffbc9ca08fb2afabd237ba\",\n \"last-modified\": \"Wed, 21 Nov 2018 20:05:15 GMT\",\n \"server\": \"AmazonS3\",\n \"x-amz-id-2\": \"Fe8soQAbr2qCBMt04hu4cMvD59ugsNYRrVHlpzgFn4tV8DbQKzYStMXAvWKmgi5/+ttJjIk07e0=\",\n \"x-amz-meta-s3_object_name_raw_tag\": \"s3://mock-datalake-bucket/dummy/dummy-0.txt\",\n \"x-amz-request-id\": \"F1BE1D8588C74F8F\",\n \"x-amz-version-id\": \"X2YgsAhqxyZh9_6aTOUJC0B1.BGKX6iN\"\n },\n \"HTTPStatusCode\": 200,\n \"HostId\": \"Fe8soQAbr2qCBMt04hu4cMvD59ugsNYRrVHlpzgFn4tV8DbQKzYStMXAvWKmgi5/+ttJjIk07e0=\",\n \"RequestId\": \"F1BE1D8588C74F8F\",\n \"RetryAttempts\": 0\n },\n \"VersionId\": \"X2YgsAhqxyZh9_6aTOUJC0B1.BGKX6iN\"\n }\n from odl_datalake_ingestion import lambda_handler\n mock_context = MockContext()\n mock_event[\"Records\"][0][\"s3\"][\"object\"][\"key\"] = \"servicedesk/customer/ca_sdm/tb_call_req/latest/call_req.csv\"\n\n lambda_handler(mock_event, mock_context)","def __call__(self, *args, **kwargs):\n return self.method(*args, **kwargs)","def mock_s3_boto_raise() -> callable:\n\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\n return BotoMockRaise()\n\n return client","def __virtual__():\n # the boto_ec2 execution module relies on the connect_to_region() method\n # which was added in boto 2.8.0\n # https://github.com/boto/boto/commit/33ac26b416fbb48a60602542b4ce15dcc7029f12\n has_boto_reqs = salt.utils.versions.check_boto_reqs(\n boto_ver=\"2.8.0\", check_boto3=False\n )\n if has_boto_reqs is True:\n __utils__[\"boto.assign_funcs\"](__name__, \"ec2\", pack=__salt__)\n return has_boto_reqs","def _imp_proxy_method(self, name, func):\n # We just return the original function\n return func","def monkey_path_api_requests(self, method, mock_object=None):\n attr = getattr(api.requests, method)\n mock_method = mock.MagicMock()\n setattr(api.requests, method, mock_method)\n try:\n yield mock_method\n finally:\n setattr(api.requests, method, attr)","def _mexe(self, request, sender=None, override_num_retries=None):\r\n boto.log.debug('Method: %s' % request.method)\r\n boto.log.debug('Path: %s' % request.path)\r\n boto.log.debug('Data: %s' % request.body)\r\n boto.log.debug('Headers: %s' % request.headers)\r\n boto.log.debug('Host: %s' % request.host)\r\n response = None\r\n body = None\r\n e = None\r\n if override_num_retries is None:\r\n num_retries = config.getint('Boto', 'num_retries', self.num_retries)\r\n else:\r\n num_retries = override_num_retries\r\n i = 0\r\n connection = self.get_http_connection(request.host, self.is_secure)\r\n while i <= num_retries:\r\n # Use binary exponential backoff to desynchronize client requests\r\n next_sleep = random.random() * (2 ** i)\r\n try:\r\n # we now re-sign each request before it is retried\r\n request.authorize(connection=self)\r\n if callable(sender):\r\n response = sender(connection, request.method, request.path,\r\n request.body, request.headers)\r\n else:\r\n connection.request(request.method, request.path, request.body,\r\n request.headers)\r\n response = connection.getresponse()\r\n location = response.getheader('location')\r\n # -- gross hack --\r\n # httplib gets confused with chunked responses to HEAD requests\r\n # so I have to fake it out\r\n if request.method == 'HEAD' and getattr(response, 'chunked', False):\r\n response.chunked = 0\r\n if response.status == 500 or response.status == 503:\r\n boto.log.debug('received %d response, retrying in %3.1f seconds' %\r\n (response.status, next_sleep))\r\n body = response.read()\r\n elif response.status < 300 or response.status >= 400 or \\\r\n not location:\r\n self.put_http_connection(request.host, self.is_secure, connection)\r\n return response\r\n else:\r\n scheme, request.host, request.path, params, query, fragment = \\\r\n urlparse.urlparse(location)\r\n if query:\r\n request.path += '?' + query\r\n boto.log.debug('Redirecting: %s' % scheme + '://' + request.host + request.path)\r\n connection = self.get_http_connection(request.host, scheme == 'https')\r\n continue\r\n except self.http_exceptions, e:\r\n for unretryable in self.http_unretryable_exceptions:\r\n if isinstance(e, unretryable):\r\n boto.log.debug(\r\n 'encountered unretryable %s exception, re-raising' %\r\n e.__class__.__name__)\r\n raise e\r\n boto.log.debug('encountered %s exception, reconnecting' % \\\r\n e.__class__.__name__)\r\n connection = self.new_http_connection(request.host, self.is_secure)\r\n time.sleep(next_sleep)\r\n i += 1\r\n # If we made it here, it's because we have exhausted our retries and stil haven't\r\n # succeeded. So, if we have a response object, use it to raise an exception.\r\n # Otherwise, raise the exception that must have already happened.\r\n if response:\r\n raise BotoServerError(response.status, response.reason, body)\r\n elif e:\r\n raise e\r\n else:\r\n raise BotoClientError('Please report this exception as a Boto Issue!')","def authorizedClientCall(self):\n\t\tclient \t\t= boto3.client(\"s3\")\n\t\treturn(client)","def __call__(self, *args: Sequence[Any], **kwargs: Mapping[str, Any]) -> Any:\n return self._target(*args, **kwargs)","def __getattr__(self, method: str):\n @exception_handler\n def func(*args, **kwargs):\n return self._client.PyCall(method, list(args), kwargs,\n self._wait_for_ready, self._call_timeout,\n self._compress)\n\n setattr(self, method, func)\n return func","def __proxyWrapper( self, name, args, kwargs ):\n res = self.__prepareSecurityDetails()\n if not res['OK']:\n return res\n try:\n fileCatalog = FileCatalog( ['LcgFileCatalogCombined'] )\n method = getattr( fileCatalog, name )\n except AttributeError, error:\n errStr = \"LcgFileCatalogProxyHandler.__proxyWrapper: No method named %s\" % name\n gLogger.exception( errStr, name, error )\n return S_ERROR( errStr )\n try:\n result = method( *args, **kwargs )\n return result\n except Exception, error:\n errStr = \"LcgFileCatalogProxyHandler.__proxyWrapper: Exception while performing %s\" % name\n gLogger.exception( errStr, name, error )\n return S_ERROR( errStr )","def __getattr__(self, name):\n def wrapper(*args, **kwargs): \n if name in (\"get\", \"post\", \"put\", \"patch\", \"delete\", \"head\", \"options\"): #These are HTTP methods\n is_http_method = True\n \n #Now proxy down to the requests object (or session) \n try:\n output = getattr(self.session, name)(*args, **kwargs) #Assume a function\n except TypeError: #Assume a property\n output = getattr(self.session, name)\n \n #Now catch any special HTTP calls \n if is_http_method:\n #Examine the status, if in error, raise it\n if output.status_code >= 400: #Some error has occurred!\n raise DownloadingError(\"Unable to download from resource: '%s'\\n%s\" % (output.url, output.content))\n return output\n return wrapper #This wrapper partial allows us to pass *args and **kwargs into a __getattr__ situation","def __getattr__(self, function_name):\r\n if function_name in ZooKeeper._ZK_SYNC_METHODS:\r\n return self._wrap_sync(function_name)\r\n elif function_name in ZooKeeper._ZK_ASYNC_METHODS:\r\n return self._wrap_async(function_name)\r\n else:\r\n raise AttributeError('%r has no attribute %r' % (self, function_name))","def test_aws_service_api_interfaces_get(self):\n pass","def _mexe(self, request, override_num_retries=1,\n retry_handler=None):\n log.debug('Method: %s' % request.method)\n log.debug('Url: %s' % request.url)\n log.debug('Data: %s' % request.body)\n log.debug('Headers: %s' % request.headers)\n returnValue = None\n response = None\n body = None\n ex = None\n if override_num_retries is None:\n num_retries = config.getint('TxBoto', 'num_retries', self.num_retries)\n else:\n num_retries = override_num_retries\n i = 0\n while i <= num_retries:\n # Use binary exponential backoff to desynchronize client requests.\n next_sleep = min(random.random() * (2 ** i),\n config.get('TxBoto', 'max_retry_delay', 60))\n try:\n request.authorize(connection=self)\n log.debug('Final headers: %s' % request.headers)\n request.start_time = datetime.now()\n\n response = yield self.send_request(request)\n response_body = yield response.content()\n response.reason = code2status(response.code, 'N/A')\n log.debug('Response headers: %s' % response.headers)\n location = response.headers.getRawHeaders('location')\n if location:\n location = location[0]\n if callable(retry_handler):\n status = yield defer.maybeDeferred(retry_handler, response,\n response_body, i,\n next_sleep)\n if status:\n msg, i, next_sleep = status\n if msg:\n log.debug(msg)\n time.sleep(next_sleep)\n continue\n if response.code in [500, 502, 503, 504]:\n msg = 'Received %d response. ' % response.code\n msg += 'Retrying in %3.1f seconds' % next_sleep\n log.debug(msg)\n body = response_body\n if isinstance(body, bytes):\n body = body.decode('utf-8')\n elif response.code < 300 or response.code >= 400 or \\\n not location:\n # don't return connection to the pool if response contains\n # Connection:close header, because the connection has been\n # closed and default reconnect behavior may do something\n # different than new_http_connection. Also, it's probably\n # less efficient to try to reuse a closed connection.\n if self.request_hook is not None:\n yield defer.maybeDeferred(\n self.request_hook.handle_request_data,\n request, response)\n returnValue = (response, response_body,)\n break\n except PleaseRetryException as e:\n log.debug('encountered a retry exception: {}'.foramt(e))\n response = e.response\n ex = e\n except self.http_exceptions as e:\n if isinstance(e, self.http_unretryable_exceptions):\n log.debug('encountered unretryable {} exception, re-raising'\n .format(e.__class__.__name__))\n raise\n log.debug('encountered {} exception, reconnecting'\n .format(e.__class__.__name__))\n ex = e\n time.sleep(next_sleep)\n i += 1\n\n if isinstance(returnValue, tuple):\n defer.returnValue(returnValue)\n # If we made it here, it's because we have exhausted our retries\n # and stil haven't succeeded. So, if we have a response object,\n # use it to raise an exception.\n # Otherwise, raise the exception that must have already happened.\n if self.request_hook is not None:\n yield defer.maybeDeferred(self.request_hook.handle_request_data,\n request, response, error=True)\n if response:\n raise BotoServerError(response.status, response.reason, body)\n elif ex:\n raise ex\n else:\n msg = 'Please report this exception as a TxBoto Issue!'\n raise BotoClientError(msg)","def test_aws_service_api_image_get(self):\n pass","def test_aws_service_api_keypairs_get(self):\n pass","def get_boto3(args=None, logger=None, stats=None):\n return Boto3(**__get_arguments(args, logger, stats))","def _wrapped_method(self, _meth_name, *args, **kwargs):\n return self._delegate(_meth_name, *args, **kwargs)","def __init__(self):\n self.aws = AWS()","def __init__(self, aws_access_key_id=None, aws_secret_access_key=None,\n is_secure=True, port=None, proxy=None, proxy_port=None,\n proxy_user=None, proxy_pass=None,\n host=None, debug=0, https_connection_factory=None,\n calling_format=None, path='/', provider='aws',\n bucket_class=None, mock_s3_fs=None):\n # use mock_s3_fs even if it's {}\n self.mock_s3_fs = combine_values({}, mock_s3_fs)\n self.endpoint = host or 's3.amazonaws.com'","def test_aws_service_api_public_images_get(self):\n pass","def _call_method(self, module, method, *args, **kwargs):\n return self.invoke_api(module, method, *args, **kwargs)","def __call__(self, *args, **kwargs):\n if self.secure and not self.avatar.authenticated:\n logger.error('Attempted access to secured method before authentication: %s - %s', (self.avatar.name, self.function))\n return\n\n return self.function(self.avatar.name, *args, **kwargs)","def boto3_client(service='ec2'):\n\n def wrapper(func):\n @wraps(func)\n def wrapped_func(user, *args, **kwargs):\n region = request.args.get('region') or 'eu-west-1'\n client = get_client(user['access_key'], user['secret_key'],\n region=region, service=service)\n return func(user, client, *args, **kwargs)\n\n return wrapped_func\n\n return wrapper","def __call__(self, *args, **kwargs):\n return self.call(*args, **kwargs)","def _setup_aws_clients(self) -> None:","def __init__(self, temboo_session):\n super(PutBucketWebsiteRedirect, self).__init__(temboo_session, '/Library/Amazon/S3/PutBucketWebsiteRedirect')","def call(self, method, name, params=None, payload=None, **kwds):","def test_invoke_dummy_plugin(mock_boto3_client, mock_boto3_resource):\n from odl_datalake_ingestion import lambda_handler\n mock_context = MockContext()\n mock_event[\"Records\"][0][\"s3\"][\"object\"][\"key\"] = \"dummy/dummy00.txt\"\n lambda_handler(mock_event, mock_context)","def test_aws_service_api_private_images_get(self):\n pass","def __init__(self, service, acces_key, secret_key):\n \n self.client = boto3.client(\n service,\n aws_access_key_id=acces_key,\n aws_secret_access_key=secret_key,\n )","def __getattribute__(self, name):\n attr = object.__getattribute__(self, name)\n if hasattr(attr, '__call__'):\n def newfunc(*args, **kwargs):\n # Allow async calls to methods (promises)\n if 'async' in kwargs: del kwargs['async']\n obj = Pyro4.Proxy(self.name)\n print \"---Proxy {}\".format(obj)\n return obj.perform()\n # result = func(*args, **kwargs)\n # return result\n return newfunc\n else:\n return attr","def __init__(self):\n self.s3_resource = boto3.resource('s3')\n self.s3_client = boto3.client('s3')","def test_invoke_skip_plugin(mock_boto3_client, mock_boto3_resource):\n from odl_datalake_ingestion import lambda_handler\n mock_context = MockContext()\n mock_event[\"Records\"][0][\"s3\"][\"object\"][\"key\"] = \"servicedesk/customer/ca_sdm/tb_call_req/2018-07-02/call_req.csv\"\n mock_boto3_client.return_value.head_object.return_value = {\n \"ResponseMetadata\": {\n \"HTTPHeaders\": {\n \"content-length\": 1024,\n \"content-type\": \"text/plain\",\n \"last-modified\": \"Sun, 1 Jan 2006 12:00:00 GMT\"\n }\n }\n }\n lambda_handler(mock_event, mock_context)","def boto3_stubber(mocker, boto3_stubber_path):\n __tracebackhide__ = True\n created_stubbers = []\n mocked_clients = {}\n\n mocked_client_factory = mocker.patch(boto3_stubber_path, autospec=True)\n # use **kwargs to skip parameters passed to the boto3.client other than the \"service\"\n # e.g. boto3.client(\"ec2\", region_name=region, ...) --> x = ec2\n mocked_client_factory.client.side_effect = lambda x, **kwargs: mocked_clients[x]\n\n def _boto3_stubber(service, mocked_requests):\n if \"AWS_DEFAULT_REGION\" not in os.environ:\n # We need to provide a region to boto3 to avoid no region exception.\n # Which region to provide is arbitrary.\n os.environ[\"AWS_DEFAULT_REGION\"] = \"us-east-1\"\n client = boto3.client(service)\n stubber = Stubber(client)\n # Save a ref to the stubber so that we can deactivate it at the end of the test.\n created_stubbers.append(stubber)\n\n # Attach mocked requests to the Stubber and activate it.\n if not isinstance(mocked_requests, list):\n mocked_requests = [mocked_requests]\n for mocked_request in mocked_requests:\n if mocked_request.generate_error:\n stubber.add_client_error(\n mocked_request.method,\n service_message=mocked_request.response,\n expected_params=mocked_request.expected_params,\n service_error_code=mocked_request.error_code,\n )\n else:\n stubber.add_response(\n mocked_request.method, mocked_request.response, expected_params=mocked_request.expected_params\n )\n stubber.activate()\n\n # Add stubber to the collection of mocked clients. This allows to mock multiple clients.\n # Mocking twice the same client will replace the previous one.\n mocked_clients[service] = client\n return client\n\n # yield allows to return the value and then continue the execution when the test is over.\n # Used for resources cleanup.\n yield _boto3_stubber\n\n # Assert that all mocked requests were consumed and deactivate all stubbers.\n for stubber in created_stubbers:\n stubber.assert_no_pending_responses()\n stubber.deactivate()","def __call__(self, method, url, *args, **kwargs):\n log.debug('{} {}'.format(method.upper(), url))\n if 'params' in kwargs:\n kwargs['query'] = kwargs.pop('params')\n return getattr(self.client, method)(url, *args, **kwargs).json","def __getattr__(self, name):\n if name in self.propertysynonyms: # Reset real name if argument provided in lower or camel case\n name = self.propertysynonyms[name]\n if self.serviceimplementation == 'basic':\n if name in ('serviceproperties', 'localProperties', 'internal_attributes', 'propertysynonyms',\n 'forceGetProperty'):\n pass\n elif name in self.serviceproperties:\n if self.forceGetProperty is False and self.serviceproperties[name] is False: # False = read-only\n if name in self.__dict__:\n return self.__dict__[name]\n else:\n # Get Property from Basic and store it\n prop = self.GetProperty(name)\n self.__dict__[name] = prop\n return prop\n else: # Get Property from Basic and do not store it\n return self.GetProperty(name)\n # Execute the usual attributes getter\n return super(SFServices, self).__getattribute__(name)","def __getattr__(self, method_name):\n return partial(self.exec, method_name.replace(\"_\", \" \"))","def __call(self, **kwargs):\n return self.__call_api(kwargs)","def __call__(self, *args, **kwargs):\n return self.__wrapped__(*args, **kwargs)","def _aws_get_object(bucket, key, request_pays=True, client=None):\n if not client:\n session = boto3_session(region_name=REGION)\n client = session.client(\"s3\")\n\n params = {\"Bucket\": bucket, \"Key\": key}\n if request_pays:\n params[\"RequestPayer\"] = \"requester\"\n response = client.get_object(**params)\n return response[\"Body\"].read()","def unAuthorizedClientCall(self):\n\t\tclient \t\t= boto3.client(\"s3\", config=botocore.config.Config(signature_version=botocore.UNSIGNED))\n\t\treturn(client)","def test_aws_service_api_public_image_get(self):\n pass","def test_aws_service_api_snapshots_get(self):\n pass","def _inner_getattr(self, endpoint, **parameters):\n request = self._build_request(endpoint, **parameters)\n\n return self.requestor.request(**request)","async def __call__(self, *args: _P.args, **kwargs: _P.kwargs) -> _B:\n await self._timeToRun()\n return await self._original_method(self._original_self, *args, **kwargs)","def call(self, **kwargs):\n return getattr(self.resource, self.function)(**kwargs)","def wrapper(fn):\n if name is None:\n name_ = fn.__name__\n else:\n name_ = name\n original_method = getattr(cls,name_,default)\n new_method = fn(original_method)\n setattr(cls,name_,new_method)\n return fn","def __set_amazon_s3_service__(self, access_key, secret_key):\n self.s3_conn = S3Connection(access_key, secret_key)","def __call__(self, *args, **kwargs):\n return self.call(*args, **kwargs)","def __get__(self, _instance, _inst_cls):\n return getattr(self._call_proxy_inst, self._magic_name)","def test_aws_service_api_private_image_get(self):\n pass","def __getattr__(self, name):\n return getattr(self._client, name)","def export_callProxyMethod( self, name, args, kargs ):\n res = pythonCall( 120, self.__proxyWrapper, name, args, kargs )\n if res['OK']:\n return res['Value']\n else:\n return res","def __get__(self, instance, owner):\n return self.method(owner)","def __getattr__(self, name):\n return functools.partial(self._obj.request, self._api_prefix + name)","def __call__(self, *args, **kwargs): # real signature unknown\n pass","def s3_request(func):\n\n\t@wraps (func)\n\tdef wrapper(url, *args, **kwargs):\n\t\ttry:\n\t\t\treturn func (url, *args, **kwargs)\n\t\texcept ClientError as exc:\n\t\t\tif int (exc.response[\"Error\"][\"Code\"]) == 404:\n\t\t\t\traise EnvironmentError (\"file {} not found\".format (url))\n\t\t\telse:\n\t\t\t\traise\n\n\treturn wrapper","def get_boto_client(self) -> S3Client:\n if self._boto_client is None:\n config = Config(signature_version=botocore.UNSIGNED)\n self._boto_client = self.session.client(\n \"s3\",\n region_name=settings.S3_REGION,\n endpoint_url=settings.S3_ENDPOINT_URL,\n config=config,\n )\n return self._boto_client","def __call__(self, **action_kwargs):\n\n return SOAP.send(self.service, self, **action_kwargs)","def call(self, *args, **kwargs):","def hook(cls, cov, method_name):\n method = getattr(cov, method_name)\n hook = cls(method)\n setattr(cov, method_name, hook.wrapper)\n return hook","def image_proxy(img):\n\n def _set(*args):\n __pragma__(\"noalias\", \"set\")\n value = img.set(*args)\n __pragma__(\"alias\", \"set\", \"py_set\")\n return value\n\n def _get(*args):\n __pragma__(\"noalias\", \"get\")\n value = img.get(*args)\n __pragma__(\"alias\", \"get\", \"py_get\")\n return value\n\n img.set = _set\n img.get = _get\n return img","def _iter_call_meth(self, method, *args, **kwargs):\n for obj in self:\n if hasattr(obj, method):\n f = op.methodcaller(method, *args, **kwargs)\n f(obj)","def s3_client(s3_url):\n with moto.mock_s3():\n with clients.S3Client(s3_url) as client:\n yield client","def __paginate_call(client, method, output_key, params=None):\n def is_response_success(response):\n return response['ResponseMetadata']['HTTPStatusCode'] == 200\n\n params = dict() if params is None else params\n params['PaginationConfig'] = dict(PageSize=AWS_PAGE_SIZE)\n\n paginator = client.get_paginator(method)\n responses = list(paginator.paginate(**params))\n\n if not all([is_response_success(r) for r in responses]):\n raise Exception('Error during execution of method {method}'.format(method=method))\n\n responses = [r[output_key] for r in responses]\n return reduce(lambda x, y: x + y, responses)","def apply_method(self, r, **attr):\n\n resource = self.resource\n rules = resource.get_config(\"anonymize\")\n if not rules:\n r.error(405, \"Anonymizing not configured for resource\")\n\n record_ids = current.session.s3.get(\"anonymize_record_ids\")\n if not record_ids:\n r.error(400, \"No target record(s) specified\")\n\n table = resource.table\n\n # Check permission for each record\n has_permission = current.auth.s3_has_permission\n for record_id in record_ids:\n if not has_permission(\"update\", table, record_id=record_id) or \\\n not has_permission(\"delete\", table, record_id=record_id):\n r.unauthorised()\n\n output = {}\n\n if r.representation == \"html\":\n if r.http == \"GET\":\n # Show form\n anonymise_btn = S3AnonymizeBulkWidget.widget(r,\n record_ids = record_ids,\n _class = \"action-btn anonymize-btn\",\n )\n current.response.view = \"simple.html\"\n output = {\"item\": anonymise_btn,\n \"title\": current.T(\"Anonymize Records\"),\n }\n elif r.http == \"POST\":\n # Process form\n output = self.anonymize(r, table, record_ids)\n del current.session.s3[\"anonymize_record_ids\"]\n next_url = resource.get_config(\"anonymize_next\")\n if next_url:\n redirect(next_url)\n else:\n r.error(405, current.ERROR.BAD_METHOD)\n else:\n r.error(415, current.ERROR.BAD_FORMAT)\n\n return output","def mock_s3_fixture():\n with mock_s3():\n yield","def __call__(self, *args, **kwargs):\n return self._func(*args, **kwargs)","def callmethod(\n self, method: str, *args: Sequence[Any], **kwargs: Sequence[Any]\n ) -> List[Any]:\n return getattr(self, method)(*args, **kwargs)","def map_method(self, method_name, *args, **kwds):\r\n return self.map(self._call_extension_method,\r\n method_name, *args, **kwds)","def __init__(self, name: str, args: S3Args, opts: ResourceOptions = None):\n super().__init__(\"custom:resource:S3\", name, {}, opts)\n \"\"\"Override ComponentResource class constructor\"\"\"\n\n self.bucket_final = Output.all(\n args.project_name,\n args.bucket_name\n ).apply(\n lambda arg: f\"{arg[0]}-{arg[1]}\"\n )\n\n self.bucket = aws.s3.Bucket(\n args.bucket_name,\n bucket=self.bucket_final,\n acl=\"private\",\n tags={\n \"BillingCode\": args.billing_code,\n \"Name\": self.bucket_final,\n \"Project\": args.project_name,\n },\n server_side_encryption_configuration={\n \"rule\": {\n \"applyServerSideEncryptionByDefault\": {\n \"sseAlgorithm\": \"AES256\",\n },\n },\n },\n opts=ResourceOptions(parent=self)\n )\n\n self.deny_vpce_policy = Output.all(\n args.ec2_role_arn,\n self.bucket.arn,\n args.vpc_endpoint_id\n ).apply(\n lambda args:\n aws.iam.get_policy_document(\n version=\"2012-10-17\",\n statements=[\n aws.iam.GetPolicyDocumentStatementArgs(\n sid=\"Access-to-specific-VPCE-only\",\n principals=[\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\n identifiers=[args[0]],\n type=\"AWS\",\n )\n ],\n actions=[\n \"s3:DeleteObject\",\n \"s3:GetObject\",\n \"s3:ListBucket\",\n \"s3:PutObject\",\n \"s3:RestoreObject\",\n ],\n effect=\"Deny\",\n resources=[\n args[1],\n args[1]+\"/*\"\n ],\n conditions=[\n aws.iam.GetPolicyDocumentStatementConditionArgs(\n test=\"StringNotEquals\",\n values=[args[2]],\n variable=\"aws:sourceVpce\",\n )\n ],\n )\n ],\n opts=ResourceOptions(parent=self.bucket)\n )\n )\n\n admin_principals = []\n for admin in args.admin_list:\n admin_principals.append(f\"arn:aws:iam::{current_id}:user/{admin}\")\n\n self.admin_access_policy = Output.all(self.bucket.arn).apply(\n lambda args:\n aws.iam.get_policy_document(\n version=\"2012-10-17\",\n statements=[\n aws.iam.GetPolicyDocumentStatementArgs(\n sid=\"admin-access\",\n principals=[\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\n identifiers=admin_principals,\n type=\"AWS\",\n )\n ],\n actions=[\"s3:*\"],\n effect=\"Allow\",\n resources=[\n args[0],\n args[0]+\"/*\"\n ],\n )\n ],\n opts=ResourceOptions(parent=self.bucket)\n )\n )\n\n self.policy = aws.s3.BucketPolicy(\n f'{args.bucket_name}-policy',\n bucket=self.bucket.id,\n policy=aws.iam.get_policy_document(\n source_json=self.deny_vpce_policy.json,\n override_json=self.admin_access_policy.json,\n ).json,\n opts=ResourceOptions(parent=self.bucket)\n )\n\n self.register_outputs({})","def lambda_handler(event, context):\n\n # try:\n # ip = requests.get(\"http://checkip.amazonaws.com/\")\n # except requests.RequestException as e:\n # # Send some context about this error to Lambda Logs\n # print(e)\n\n # raise e\n\n try:\n response = s3.get_object(Bucket=BUCKET, Key=KEY)\n print('CONTENT TYPE:', response['ContentType'])\n print('response:')\n pprint.pprint(response)\n print('event')\n pprint.pprint(event)\n print('payload')\n pprint.pprint(event.get('payload'))\n # return json.loads(json.dumps(response, default=str))\n # defined by https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-lambda-proxy-integrations.html#api-gateway-simple-proxy-for-lambda-output-format\n return {\n 'statusCode': 200,\n 'isBase64Encoded': False,\n 'body': json.dumps(response, default=str)\n }\n # return response['ContentType']\n except Exception as e:\n print(e)\n print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(KEY, BUCKET))\n raise e","def __call__(self, *events):\n if self._func_is_method and self._ob is not None:\n return self._func(self._ob(), *events)\n else:\n return self._func(*events)","def s3_request(func):\n\n @wraps(func)\n def wrapper(url, *args, **kwargs):\n try:\n return func(url, *args, **kwargs)\n except ClientError as exc:\n if int(exc.response[\"Error\"][\"Code\"]) == 404:\n raise EnvironmentError(\"file {} not found\".format(url))\n else:\n raise\n\n return wrapper","def s3_request(func):\n\n @wraps(func)\n def wrapper(url, *args, **kwargs):\n try:\n return func(url, *args, **kwargs)\n except ClientError as exc:\n if int(exc.response[\"Error\"][\"Code\"]) == 404:\n raise EnvironmentError(\"file {} not found\".format(url))\n else:\n raise\n\n return wrapper","def test_aws_service_api_vm_patch(self):\n pass","def tranquilize(method='get', requires_authentication=None):\n\n #just to be safe\n method = method.lower()\n\n def _dart(f):\n f._spec = _prepare(f)\n f._method = method\n f._methods = None\n f._requires_authentication = requires_authentication\n return f\n\n return _dart","def test_aws_service_api_keypair_get(self):\n pass","def call(\n self,\n method,\n path,\n params=None,\n headers=None,\n files=None,\n url_override=None,\n api_version=None,\n ):\n if self._should_restore_default_page_size(params):\n params.update(**{\"limit\": self.default_page_size})\n response = super().call(method, path, params, headers, files, url_override, api_version)\n self._update_insights_throttle_limit(response)\n self._handle_call_rate_limit(response, params)\n return response","def ServiceMethod(fn):\n\n fn.IsServiceMethod = True\n return fn","def __call__(self, *args, **kwargs):\n return self.func(*args, **kwargs)","def __call__(self, *args, **kwargs):\n return self.func(*args, **kwargs)","def __call__(self, *args, **kwargs):\n\n return self.__class__(self._obj, *args, **kwargs)","def __call__(self, method):\n self._method = method\n\n async def wrapper(*args, **kwargs):\n \"\"\"Wrap the method.\"\"\"\n if self.name is None:\n self.name = str(self._method.__qualname__).lower().replace(\".\", \"_\")\n try:\n self._coresys = args[0].coresys\n except AttributeError:\n return False\n\n if not self._coresys:\n raise JobException(f\"coresys is missing on {self.name}\")\n\n job = self._coresys.jobs.get_job(self.name)\n\n if self.conditions and not self._check_conditions():\n return False\n\n try:\n return await self._method(*args, **kwargs)\n except HassioError as err:\n raise err\n except Exception as err:\n _LOGGER.exception(\"Unhandled exception: %s\", err)\n sentry_sdk.capture_exception(err)\n raise JobException() from err\n finally:\n if self.cleanup:\n self._coresys.jobs.remove_job(job)\n\n return wrapper","def decorate_HTTP_verb_method(method):\n @functools.wraps(method)\n def wrapper(self, RIC_base_uri, **kwargs):\n partition = kwargs.pop('partition', '')\n name = kwargs.pop('name', '')\n sub_path = kwargs.pop('subPath', '')\n suffix = kwargs.pop('suffix', '')\n uri_as_parts = kwargs.pop('uri_as_parts', False)\n if uri_as_parts:\n REST_uri = generate_bigip_uri(RIC_base_uri, partition, name,\n sub_path, suffix, **kwargs)\n else:\n REST_uri = RIC_base_uri\n pre_message = \"%s WITH uri: %s AND suffix: %s AND kwargs: %s\" %\\\n (method.__name__, REST_uri, suffix, kwargs)\n logging.debug(pre_message)\n response = method(self, REST_uri, **kwargs)\n post_message =\\\n \"RESPONSE::STATUS: %s Content-Type: %s Content-Encoding:\"\\\n \" %s\\nText: %r\" % (response.status_code,\n response.headers.get('Content-Type', None),\n response.headers.get('Content-Encoding', None),\n response.text)\n logging.debug(post_message)\n if response.status_code not in range(200, 207):\n error_message = '%s Unexpected Error: %s for uri: %s\\nText: %r' %\\\n (response.status_code,\n response.reason,\n response.url,\n response.text)\n raise iControlUnexpectedHTTPError(error_message, response=response)\n return response\n return wrapper","def test_aws_service_api_vm_get(self):\n pass","def mock_amazon():\n amazon = Amazon()\n amazon.carrot1 = 'cenoura normal'\n amazon.carrot2 = 'cenoura radioativa'\n amazon.carrot_number = 575\n return amazon","def __getattr__(self, method):\n def run_callback(func, plus, result):\n \"\"\"Execute the given callback safely.\n Get data and/or error from result and call func passing it\n data, plus (if needed) and error. Catch, log and suppress\n all exceptions.\n func (function): the callback to invoke.\n plus (object): optional additional data.\n result (AsyncResult): the result of a (finished) RPC call.\n \"\"\"\n data = result.value\n error = None if result.successful() else \"%s\" % result.exception\n try:\n if plus is None:\n func(data, error=error)\n else:\n func(data, plus, error=error)\n except Exception as error:\n logger.error(\"RPC callback for %s.%s raised exception.\",\n self.remote_service_coord.name, method,\n exc_info=True)\n\n def remote_method(**data):\n \"\"\"Forward arguments to execute_rpc.\n \"\"\"\n callback = data.pop(\"callback\", None)\n plus = data.pop(\"plus\", None)\n result = self.execute_rpc(method=method, data=data)\n if callback is not None:\n callback = functools.partial(run_callback, callback, plus)\n result.rawlink(functools.partial(gevent.spawn, callback))\n return result\n\n return remote_method"],"string":"[\n \"def monkey_patch_botocore_for_xray():\\n wrapt.wrap_function_wrapper(\\n \\\"botocore.client\\\", \\\"BaseClient._make_api_call\\\", xray_botocore_api_call,\\n )\",\n \"def xray_botocore_api_call(wrapped, instance, args, kwargs):\\n return generic_xray_wrapper(\\n wrapped,\\n instance,\\n args,\\n kwargs,\\n name=get_service_name,\\n namespace=\\\"aws\\\",\\n metadata_extractor=extract_aws_metadata,\\n error_handling_type=ERROR_HANDLING_BOTOCORE,\\n )\",\n \"def mock_s3_boto_returns() -> callable:\\n\\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\\n return BotoMockReturns()\\n\\n return client\",\n \"def stubbed_s3_client():\\n stubber = stub.Stubber(app.S3_CLIENT)\\n\\n yield stubber\\n\\n stubber.deactivate()\",\n \"def proxy_method(self, rest_path, sign, kwargs):\",\n \"def get_boto(args=None, logger=None, stats=None):\\n return Boto(**__get_arguments(args, logger, stats))\",\n \"def _imp_proxy_method(self, name, func):\\n pass\",\n \"def aws():\\n pass\",\n \"def aws(ctx): # pylint: disable=unused-argument\\n pass # pylint: disable=unnecessary-pass\",\n \"def mock_s3_client():\\n with mock_s3():\\n yield\",\n \"def test_invoke_default_processor(mock_boto3_client, mock_boto3_resource):\\n mock_boto3_client.return_value.head_object.return_value = {\\n \\\"AcceptRanges\\\": \\\"bytes\\\",\\n \\\"ContentLength\\\": 4372,\\n \\\"ContentType\\\": \\\"binary/octet-stream\\\",\\n \\\"ETag\\\": \\\"287e8177e8ffbc9ca08fb2afabd237ba\\\",\\n \\\"LastModified\\\": \\\"Wed, 21 Nov 2018 20:05:15 GMT\\\",\\n \\\"Metadata\\\": {\\n \\\"s3_object_name_raw_tag\\\": \\\"s3://mock-datalake-bucket/dummy/dummy-0.txt\\\"\\n },\\n \\\"ResponseMetadata\\\": {\\n \\\"HTTPHeaders\\\": {\\n \\\"accept-ranges\\\": \\\"bytes\\\",\\n \\\"content-length\\\": \\\"4372\\\",\\n \\\"content-type\\\": \\\"binary/octet-stream\\\",\\n \\\"date\\\": \\\"Wed, 21 Nov 2018 20:05:19 GMT\\\",\\n \\\"etag\\\": \\\"287e8177e8ffbc9ca08fb2afabd237ba\\\",\\n \\\"last-modified\\\": \\\"Wed, 21 Nov 2018 20:05:15 GMT\\\",\\n \\\"server\\\": \\\"AmazonS3\\\",\\n \\\"x-amz-id-2\\\": \\\"Fe8soQAbr2qCBMt04hu4cMvD59ugsNYRrVHlpzgFn4tV8DbQKzYStMXAvWKmgi5/+ttJjIk07e0=\\\",\\n \\\"x-amz-meta-s3_object_name_raw_tag\\\": \\\"s3://mock-datalake-bucket/dummy/dummy-0.txt\\\",\\n \\\"x-amz-request-id\\\": \\\"F1BE1D8588C74F8F\\\",\\n \\\"x-amz-version-id\\\": \\\"X2YgsAhqxyZh9_6aTOUJC0B1.BGKX6iN\\\"\\n },\\n \\\"HTTPStatusCode\\\": 200,\\n \\\"HostId\\\": \\\"Fe8soQAbr2qCBMt04hu4cMvD59ugsNYRrVHlpzgFn4tV8DbQKzYStMXAvWKmgi5/+ttJjIk07e0=\\\",\\n \\\"RequestId\\\": \\\"F1BE1D8588C74F8F\\\",\\n \\\"RetryAttempts\\\": 0\\n },\\n \\\"VersionId\\\": \\\"X2YgsAhqxyZh9_6aTOUJC0B1.BGKX6iN\\\"\\n }\\n from odl_datalake_ingestion import lambda_handler\\n mock_context = MockContext()\\n mock_event[\\\"Records\\\"][0][\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"] = \\\"servicedesk/customer/ca_sdm/tb_call_req/latest/call_req.csv\\\"\\n\\n lambda_handler(mock_event, mock_context)\",\n \"def __call__(self, *args, **kwargs):\\n return self.method(*args, **kwargs)\",\n \"def mock_s3_boto_raise() -> callable:\\n\\n def client(aws_res, aws_access_key_id=None, aws_secret_access_key=None):\\n return BotoMockRaise()\\n\\n return client\",\n \"def __virtual__():\\n # the boto_ec2 execution module relies on the connect_to_region() method\\n # which was added in boto 2.8.0\\n # https://github.com/boto/boto/commit/33ac26b416fbb48a60602542b4ce15dcc7029f12\\n has_boto_reqs = salt.utils.versions.check_boto_reqs(\\n boto_ver=\\\"2.8.0\\\", check_boto3=False\\n )\\n if has_boto_reqs is True:\\n __utils__[\\\"boto.assign_funcs\\\"](__name__, \\\"ec2\\\", pack=__salt__)\\n return has_boto_reqs\",\n \"def _imp_proxy_method(self, name, func):\\n # We just return the original function\\n return func\",\n \"def monkey_path_api_requests(self, method, mock_object=None):\\n attr = getattr(api.requests, method)\\n mock_method = mock.MagicMock()\\n setattr(api.requests, method, mock_method)\\n try:\\n yield mock_method\\n finally:\\n setattr(api.requests, method, attr)\",\n \"def _mexe(self, request, sender=None, override_num_retries=None):\\r\\n boto.log.debug('Method: %s' % request.method)\\r\\n boto.log.debug('Path: %s' % request.path)\\r\\n boto.log.debug('Data: %s' % request.body)\\r\\n boto.log.debug('Headers: %s' % request.headers)\\r\\n boto.log.debug('Host: %s' % request.host)\\r\\n response = None\\r\\n body = None\\r\\n e = None\\r\\n if override_num_retries is None:\\r\\n num_retries = config.getint('Boto', 'num_retries', self.num_retries)\\r\\n else:\\r\\n num_retries = override_num_retries\\r\\n i = 0\\r\\n connection = self.get_http_connection(request.host, self.is_secure)\\r\\n while i <= num_retries:\\r\\n # Use binary exponential backoff to desynchronize client requests\\r\\n next_sleep = random.random() * (2 ** i)\\r\\n try:\\r\\n # we now re-sign each request before it is retried\\r\\n request.authorize(connection=self)\\r\\n if callable(sender):\\r\\n response = sender(connection, request.method, request.path,\\r\\n request.body, request.headers)\\r\\n else:\\r\\n connection.request(request.method, request.path, request.body,\\r\\n request.headers)\\r\\n response = connection.getresponse()\\r\\n location = response.getheader('location')\\r\\n # -- gross hack --\\r\\n # httplib gets confused with chunked responses to HEAD requests\\r\\n # so I have to fake it out\\r\\n if request.method == 'HEAD' and getattr(response, 'chunked', False):\\r\\n response.chunked = 0\\r\\n if response.status == 500 or response.status == 503:\\r\\n boto.log.debug('received %d response, retrying in %3.1f seconds' %\\r\\n (response.status, next_sleep))\\r\\n body = response.read()\\r\\n elif response.status < 300 or response.status >= 400 or \\\\\\r\\n not location:\\r\\n self.put_http_connection(request.host, self.is_secure, connection)\\r\\n return response\\r\\n else:\\r\\n scheme, request.host, request.path, params, query, fragment = \\\\\\r\\n urlparse.urlparse(location)\\r\\n if query:\\r\\n request.path += '?' + query\\r\\n boto.log.debug('Redirecting: %s' % scheme + '://' + request.host + request.path)\\r\\n connection = self.get_http_connection(request.host, scheme == 'https')\\r\\n continue\\r\\n except self.http_exceptions, e:\\r\\n for unretryable in self.http_unretryable_exceptions:\\r\\n if isinstance(e, unretryable):\\r\\n boto.log.debug(\\r\\n 'encountered unretryable %s exception, re-raising' %\\r\\n e.__class__.__name__)\\r\\n raise e\\r\\n boto.log.debug('encountered %s exception, reconnecting' % \\\\\\r\\n e.__class__.__name__)\\r\\n connection = self.new_http_connection(request.host, self.is_secure)\\r\\n time.sleep(next_sleep)\\r\\n i += 1\\r\\n # If we made it here, it's because we have exhausted our retries and stil haven't\\r\\n # succeeded. So, if we have a response object, use it to raise an exception.\\r\\n # Otherwise, raise the exception that must have already happened.\\r\\n if response:\\r\\n raise BotoServerError(response.status, response.reason, body)\\r\\n elif e:\\r\\n raise e\\r\\n else:\\r\\n raise BotoClientError('Please report this exception as a Boto Issue!')\",\n \"def authorizedClientCall(self):\\n\\t\\tclient \\t\\t= boto3.client(\\\"s3\\\")\\n\\t\\treturn(client)\",\n \"def __call__(self, *args: Sequence[Any], **kwargs: Mapping[str, Any]) -> Any:\\n return self._target(*args, **kwargs)\",\n \"def __getattr__(self, method: str):\\n @exception_handler\\n def func(*args, **kwargs):\\n return self._client.PyCall(method, list(args), kwargs,\\n self._wait_for_ready, self._call_timeout,\\n self._compress)\\n\\n setattr(self, method, func)\\n return func\",\n \"def __proxyWrapper( self, name, args, kwargs ):\\n res = self.__prepareSecurityDetails()\\n if not res['OK']:\\n return res\\n try:\\n fileCatalog = FileCatalog( ['LcgFileCatalogCombined'] )\\n method = getattr( fileCatalog, name )\\n except AttributeError, error:\\n errStr = \\\"LcgFileCatalogProxyHandler.__proxyWrapper: No method named %s\\\" % name\\n gLogger.exception( errStr, name, error )\\n return S_ERROR( errStr )\\n try:\\n result = method( *args, **kwargs )\\n return result\\n except Exception, error:\\n errStr = \\\"LcgFileCatalogProxyHandler.__proxyWrapper: Exception while performing %s\\\" % name\\n gLogger.exception( errStr, name, error )\\n return S_ERROR( errStr )\",\n \"def __getattr__(self, name):\\n def wrapper(*args, **kwargs): \\n if name in (\\\"get\\\", \\\"post\\\", \\\"put\\\", \\\"patch\\\", \\\"delete\\\", \\\"head\\\", \\\"options\\\"): #These are HTTP methods\\n is_http_method = True\\n \\n #Now proxy down to the requests object (or session) \\n try:\\n output = getattr(self.session, name)(*args, **kwargs) #Assume a function\\n except TypeError: #Assume a property\\n output = getattr(self.session, name)\\n \\n #Now catch any special HTTP calls \\n if is_http_method:\\n #Examine the status, if in error, raise it\\n if output.status_code >= 400: #Some error has occurred!\\n raise DownloadingError(\\\"Unable to download from resource: '%s'\\\\n%s\\\" % (output.url, output.content))\\n return output\\n return wrapper #This wrapper partial allows us to pass *args and **kwargs into a __getattr__ situation\",\n \"def __getattr__(self, function_name):\\r\\n if function_name in ZooKeeper._ZK_SYNC_METHODS:\\r\\n return self._wrap_sync(function_name)\\r\\n elif function_name in ZooKeeper._ZK_ASYNC_METHODS:\\r\\n return self._wrap_async(function_name)\\r\\n else:\\r\\n raise AttributeError('%r has no attribute %r' % (self, function_name))\",\n \"def test_aws_service_api_interfaces_get(self):\\n pass\",\n \"def _mexe(self, request, override_num_retries=1,\\n retry_handler=None):\\n log.debug('Method: %s' % request.method)\\n log.debug('Url: %s' % request.url)\\n log.debug('Data: %s' % request.body)\\n log.debug('Headers: %s' % request.headers)\\n returnValue = None\\n response = None\\n body = None\\n ex = None\\n if override_num_retries is None:\\n num_retries = config.getint('TxBoto', 'num_retries', self.num_retries)\\n else:\\n num_retries = override_num_retries\\n i = 0\\n while i <= num_retries:\\n # Use binary exponential backoff to desynchronize client requests.\\n next_sleep = min(random.random() * (2 ** i),\\n config.get('TxBoto', 'max_retry_delay', 60))\\n try:\\n request.authorize(connection=self)\\n log.debug('Final headers: %s' % request.headers)\\n request.start_time = datetime.now()\\n\\n response = yield self.send_request(request)\\n response_body = yield response.content()\\n response.reason = code2status(response.code, 'N/A')\\n log.debug('Response headers: %s' % response.headers)\\n location = response.headers.getRawHeaders('location')\\n if location:\\n location = location[0]\\n if callable(retry_handler):\\n status = yield defer.maybeDeferred(retry_handler, response,\\n response_body, i,\\n next_sleep)\\n if status:\\n msg, i, next_sleep = status\\n if msg:\\n log.debug(msg)\\n time.sleep(next_sleep)\\n continue\\n if response.code in [500, 502, 503, 504]:\\n msg = 'Received %d response. ' % response.code\\n msg += 'Retrying in %3.1f seconds' % next_sleep\\n log.debug(msg)\\n body = response_body\\n if isinstance(body, bytes):\\n body = body.decode('utf-8')\\n elif response.code < 300 or response.code >= 400 or \\\\\\n not location:\\n # don't return connection to the pool if response contains\\n # Connection:close header, because the connection has been\\n # closed and default reconnect behavior may do something\\n # different than new_http_connection. Also, it's probably\\n # less efficient to try to reuse a closed connection.\\n if self.request_hook is not None:\\n yield defer.maybeDeferred(\\n self.request_hook.handle_request_data,\\n request, response)\\n returnValue = (response, response_body,)\\n break\\n except PleaseRetryException as e:\\n log.debug('encountered a retry exception: {}'.foramt(e))\\n response = e.response\\n ex = e\\n except self.http_exceptions as e:\\n if isinstance(e, self.http_unretryable_exceptions):\\n log.debug('encountered unretryable {} exception, re-raising'\\n .format(e.__class__.__name__))\\n raise\\n log.debug('encountered {} exception, reconnecting'\\n .format(e.__class__.__name__))\\n ex = e\\n time.sleep(next_sleep)\\n i += 1\\n\\n if isinstance(returnValue, tuple):\\n defer.returnValue(returnValue)\\n # If we made it here, it's because we have exhausted our retries\\n # and stil haven't succeeded. So, if we have a response object,\\n # use it to raise an exception.\\n # Otherwise, raise the exception that must have already happened.\\n if self.request_hook is not None:\\n yield defer.maybeDeferred(self.request_hook.handle_request_data,\\n request, response, error=True)\\n if response:\\n raise BotoServerError(response.status, response.reason, body)\\n elif ex:\\n raise ex\\n else:\\n msg = 'Please report this exception as a TxBoto Issue!'\\n raise BotoClientError(msg)\",\n \"def test_aws_service_api_image_get(self):\\n pass\",\n \"def test_aws_service_api_keypairs_get(self):\\n pass\",\n \"def get_boto3(args=None, logger=None, stats=None):\\n return Boto3(**__get_arguments(args, logger, stats))\",\n \"def _wrapped_method(self, _meth_name, *args, **kwargs):\\n return self._delegate(_meth_name, *args, **kwargs)\",\n \"def __init__(self):\\n self.aws = AWS()\",\n \"def __init__(self, aws_access_key_id=None, aws_secret_access_key=None,\\n is_secure=True, port=None, proxy=None, proxy_port=None,\\n proxy_user=None, proxy_pass=None,\\n host=None, debug=0, https_connection_factory=None,\\n calling_format=None, path='/', provider='aws',\\n bucket_class=None, mock_s3_fs=None):\\n # use mock_s3_fs even if it's {}\\n self.mock_s3_fs = combine_values({}, mock_s3_fs)\\n self.endpoint = host or 's3.amazonaws.com'\",\n \"def test_aws_service_api_public_images_get(self):\\n pass\",\n \"def _call_method(self, module, method, *args, **kwargs):\\n return self.invoke_api(module, method, *args, **kwargs)\",\n \"def __call__(self, *args, **kwargs):\\n if self.secure and not self.avatar.authenticated:\\n logger.error('Attempted access to secured method before authentication: %s - %s', (self.avatar.name, self.function))\\n return\\n\\n return self.function(self.avatar.name, *args, **kwargs)\",\n \"def boto3_client(service='ec2'):\\n\\n def wrapper(func):\\n @wraps(func)\\n def wrapped_func(user, *args, **kwargs):\\n region = request.args.get('region') or 'eu-west-1'\\n client = get_client(user['access_key'], user['secret_key'],\\n region=region, service=service)\\n return func(user, client, *args, **kwargs)\\n\\n return wrapped_func\\n\\n return wrapper\",\n \"def __call__(self, *args, **kwargs):\\n return self.call(*args, **kwargs)\",\n \"def _setup_aws_clients(self) -> None:\",\n \"def __init__(self, temboo_session):\\n super(PutBucketWebsiteRedirect, self).__init__(temboo_session, '/Library/Amazon/S3/PutBucketWebsiteRedirect')\",\n \"def call(self, method, name, params=None, payload=None, **kwds):\",\n \"def test_invoke_dummy_plugin(mock_boto3_client, mock_boto3_resource):\\n from odl_datalake_ingestion import lambda_handler\\n mock_context = MockContext()\\n mock_event[\\\"Records\\\"][0][\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"] = \\\"dummy/dummy00.txt\\\"\\n lambda_handler(mock_event, mock_context)\",\n \"def test_aws_service_api_private_images_get(self):\\n pass\",\n \"def __init__(self, service, acces_key, secret_key):\\n \\n self.client = boto3.client(\\n service,\\n aws_access_key_id=acces_key,\\n aws_secret_access_key=secret_key,\\n )\",\n \"def __getattribute__(self, name):\\n attr = object.__getattribute__(self, name)\\n if hasattr(attr, '__call__'):\\n def newfunc(*args, **kwargs):\\n # Allow async calls to methods (promises)\\n if 'async' in kwargs: del kwargs['async']\\n obj = Pyro4.Proxy(self.name)\\n print \\\"---Proxy {}\\\".format(obj)\\n return obj.perform()\\n # result = func(*args, **kwargs)\\n # return result\\n return newfunc\\n else:\\n return attr\",\n \"def __init__(self):\\n self.s3_resource = boto3.resource('s3')\\n self.s3_client = boto3.client('s3')\",\n \"def test_invoke_skip_plugin(mock_boto3_client, mock_boto3_resource):\\n from odl_datalake_ingestion import lambda_handler\\n mock_context = MockContext()\\n mock_event[\\\"Records\\\"][0][\\\"s3\\\"][\\\"object\\\"][\\\"key\\\"] = \\\"servicedesk/customer/ca_sdm/tb_call_req/2018-07-02/call_req.csv\\\"\\n mock_boto3_client.return_value.head_object.return_value = {\\n \\\"ResponseMetadata\\\": {\\n \\\"HTTPHeaders\\\": {\\n \\\"content-length\\\": 1024,\\n \\\"content-type\\\": \\\"text/plain\\\",\\n \\\"last-modified\\\": \\\"Sun, 1 Jan 2006 12:00:00 GMT\\\"\\n }\\n }\\n }\\n lambda_handler(mock_event, mock_context)\",\n \"def boto3_stubber(mocker, boto3_stubber_path):\\n __tracebackhide__ = True\\n created_stubbers = []\\n mocked_clients = {}\\n\\n mocked_client_factory = mocker.patch(boto3_stubber_path, autospec=True)\\n # use **kwargs to skip parameters passed to the boto3.client other than the \\\"service\\\"\\n # e.g. boto3.client(\\\"ec2\\\", region_name=region, ...) --> x = ec2\\n mocked_client_factory.client.side_effect = lambda x, **kwargs: mocked_clients[x]\\n\\n def _boto3_stubber(service, mocked_requests):\\n if \\\"AWS_DEFAULT_REGION\\\" not in os.environ:\\n # We need to provide a region to boto3 to avoid no region exception.\\n # Which region to provide is arbitrary.\\n os.environ[\\\"AWS_DEFAULT_REGION\\\"] = \\\"us-east-1\\\"\\n client = boto3.client(service)\\n stubber = Stubber(client)\\n # Save a ref to the stubber so that we can deactivate it at the end of the test.\\n created_stubbers.append(stubber)\\n\\n # Attach mocked requests to the Stubber and activate it.\\n if not isinstance(mocked_requests, list):\\n mocked_requests = [mocked_requests]\\n for mocked_request in mocked_requests:\\n if mocked_request.generate_error:\\n stubber.add_client_error(\\n mocked_request.method,\\n service_message=mocked_request.response,\\n expected_params=mocked_request.expected_params,\\n service_error_code=mocked_request.error_code,\\n )\\n else:\\n stubber.add_response(\\n mocked_request.method, mocked_request.response, expected_params=mocked_request.expected_params\\n )\\n stubber.activate()\\n\\n # Add stubber to the collection of mocked clients. This allows to mock multiple clients.\\n # Mocking twice the same client will replace the previous one.\\n mocked_clients[service] = client\\n return client\\n\\n # yield allows to return the value and then continue the execution when the test is over.\\n # Used for resources cleanup.\\n yield _boto3_stubber\\n\\n # Assert that all mocked requests were consumed and deactivate all stubbers.\\n for stubber in created_stubbers:\\n stubber.assert_no_pending_responses()\\n stubber.deactivate()\",\n \"def __call__(self, method, url, *args, **kwargs):\\n log.debug('{} {}'.format(method.upper(), url))\\n if 'params' in kwargs:\\n kwargs['query'] = kwargs.pop('params')\\n return getattr(self.client, method)(url, *args, **kwargs).json\",\n \"def __getattr__(self, name):\\n if name in self.propertysynonyms: # Reset real name if argument provided in lower or camel case\\n name = self.propertysynonyms[name]\\n if self.serviceimplementation == 'basic':\\n if name in ('serviceproperties', 'localProperties', 'internal_attributes', 'propertysynonyms',\\n 'forceGetProperty'):\\n pass\\n elif name in self.serviceproperties:\\n if self.forceGetProperty is False and self.serviceproperties[name] is False: # False = read-only\\n if name in self.__dict__:\\n return self.__dict__[name]\\n else:\\n # Get Property from Basic and store it\\n prop = self.GetProperty(name)\\n self.__dict__[name] = prop\\n return prop\\n else: # Get Property from Basic and do not store it\\n return self.GetProperty(name)\\n # Execute the usual attributes getter\\n return super(SFServices, self).__getattribute__(name)\",\n \"def __getattr__(self, method_name):\\n return partial(self.exec, method_name.replace(\\\"_\\\", \\\" \\\"))\",\n \"def __call(self, **kwargs):\\n return self.__call_api(kwargs)\",\n \"def __call__(self, *args, **kwargs):\\n return self.__wrapped__(*args, **kwargs)\",\n \"def _aws_get_object(bucket, key, request_pays=True, client=None):\\n if not client:\\n session = boto3_session(region_name=REGION)\\n client = session.client(\\\"s3\\\")\\n\\n params = {\\\"Bucket\\\": bucket, \\\"Key\\\": key}\\n if request_pays:\\n params[\\\"RequestPayer\\\"] = \\\"requester\\\"\\n response = client.get_object(**params)\\n return response[\\\"Body\\\"].read()\",\n \"def unAuthorizedClientCall(self):\\n\\t\\tclient \\t\\t= boto3.client(\\\"s3\\\", config=botocore.config.Config(signature_version=botocore.UNSIGNED))\\n\\t\\treturn(client)\",\n \"def test_aws_service_api_public_image_get(self):\\n pass\",\n \"def test_aws_service_api_snapshots_get(self):\\n pass\",\n \"def _inner_getattr(self, endpoint, **parameters):\\n request = self._build_request(endpoint, **parameters)\\n\\n return self.requestor.request(**request)\",\n \"async def __call__(self, *args: _P.args, **kwargs: _P.kwargs) -> _B:\\n await self._timeToRun()\\n return await self._original_method(self._original_self, *args, **kwargs)\",\n \"def call(self, **kwargs):\\n return getattr(self.resource, self.function)(**kwargs)\",\n \"def wrapper(fn):\\n if name is None:\\n name_ = fn.__name__\\n else:\\n name_ = name\\n original_method = getattr(cls,name_,default)\\n new_method = fn(original_method)\\n setattr(cls,name_,new_method)\\n return fn\",\n \"def __set_amazon_s3_service__(self, access_key, secret_key):\\n self.s3_conn = S3Connection(access_key, secret_key)\",\n \"def __call__(self, *args, **kwargs):\\n return self.call(*args, **kwargs)\",\n \"def __get__(self, _instance, _inst_cls):\\n return getattr(self._call_proxy_inst, self._magic_name)\",\n \"def test_aws_service_api_private_image_get(self):\\n pass\",\n \"def __getattr__(self, name):\\n return getattr(self._client, name)\",\n \"def export_callProxyMethod( self, name, args, kargs ):\\n res = pythonCall( 120, self.__proxyWrapper, name, args, kargs )\\n if res['OK']:\\n return res['Value']\\n else:\\n return res\",\n \"def __get__(self, instance, owner):\\n return self.method(owner)\",\n \"def __getattr__(self, name):\\n return functools.partial(self._obj.request, self._api_prefix + name)\",\n \"def __call__(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def s3_request(func):\\n\\n\\t@wraps (func)\\n\\tdef wrapper(url, *args, **kwargs):\\n\\t\\ttry:\\n\\t\\t\\treturn func (url, *args, **kwargs)\\n\\t\\texcept ClientError as exc:\\n\\t\\t\\tif int (exc.response[\\\"Error\\\"][\\\"Code\\\"]) == 404:\\n\\t\\t\\t\\traise EnvironmentError (\\\"file {} not found\\\".format (url))\\n\\t\\t\\telse:\\n\\t\\t\\t\\traise\\n\\n\\treturn wrapper\",\n \"def get_boto_client(self) -> S3Client:\\n if self._boto_client is None:\\n config = Config(signature_version=botocore.UNSIGNED)\\n self._boto_client = self.session.client(\\n \\\"s3\\\",\\n region_name=settings.S3_REGION,\\n endpoint_url=settings.S3_ENDPOINT_URL,\\n config=config,\\n )\\n return self._boto_client\",\n \"def __call__(self, **action_kwargs):\\n\\n return SOAP.send(self.service, self, **action_kwargs)\",\n \"def call(self, *args, **kwargs):\",\n \"def hook(cls, cov, method_name):\\n method = getattr(cov, method_name)\\n hook = cls(method)\\n setattr(cov, method_name, hook.wrapper)\\n return hook\",\n \"def image_proxy(img):\\n\\n def _set(*args):\\n __pragma__(\\\"noalias\\\", \\\"set\\\")\\n value = img.set(*args)\\n __pragma__(\\\"alias\\\", \\\"set\\\", \\\"py_set\\\")\\n return value\\n\\n def _get(*args):\\n __pragma__(\\\"noalias\\\", \\\"get\\\")\\n value = img.get(*args)\\n __pragma__(\\\"alias\\\", \\\"get\\\", \\\"py_get\\\")\\n return value\\n\\n img.set = _set\\n img.get = _get\\n return img\",\n \"def _iter_call_meth(self, method, *args, **kwargs):\\n for obj in self:\\n if hasattr(obj, method):\\n f = op.methodcaller(method, *args, **kwargs)\\n f(obj)\",\n \"def s3_client(s3_url):\\n with moto.mock_s3():\\n with clients.S3Client(s3_url) as client:\\n yield client\",\n \"def __paginate_call(client, method, output_key, params=None):\\n def is_response_success(response):\\n return response['ResponseMetadata']['HTTPStatusCode'] == 200\\n\\n params = dict() if params is None else params\\n params['PaginationConfig'] = dict(PageSize=AWS_PAGE_SIZE)\\n\\n paginator = client.get_paginator(method)\\n responses = list(paginator.paginate(**params))\\n\\n if not all([is_response_success(r) for r in responses]):\\n raise Exception('Error during execution of method {method}'.format(method=method))\\n\\n responses = [r[output_key] for r in responses]\\n return reduce(lambda x, y: x + y, responses)\",\n \"def apply_method(self, r, **attr):\\n\\n resource = self.resource\\n rules = resource.get_config(\\\"anonymize\\\")\\n if not rules:\\n r.error(405, \\\"Anonymizing not configured for resource\\\")\\n\\n record_ids = current.session.s3.get(\\\"anonymize_record_ids\\\")\\n if not record_ids:\\n r.error(400, \\\"No target record(s) specified\\\")\\n\\n table = resource.table\\n\\n # Check permission for each record\\n has_permission = current.auth.s3_has_permission\\n for record_id in record_ids:\\n if not has_permission(\\\"update\\\", table, record_id=record_id) or \\\\\\n not has_permission(\\\"delete\\\", table, record_id=record_id):\\n r.unauthorised()\\n\\n output = {}\\n\\n if r.representation == \\\"html\\\":\\n if r.http == \\\"GET\\\":\\n # Show form\\n anonymise_btn = S3AnonymizeBulkWidget.widget(r,\\n record_ids = record_ids,\\n _class = \\\"action-btn anonymize-btn\\\",\\n )\\n current.response.view = \\\"simple.html\\\"\\n output = {\\\"item\\\": anonymise_btn,\\n \\\"title\\\": current.T(\\\"Anonymize Records\\\"),\\n }\\n elif r.http == \\\"POST\\\":\\n # Process form\\n output = self.anonymize(r, table, record_ids)\\n del current.session.s3[\\\"anonymize_record_ids\\\"]\\n next_url = resource.get_config(\\\"anonymize_next\\\")\\n if next_url:\\n redirect(next_url)\\n else:\\n r.error(405, current.ERROR.BAD_METHOD)\\n else:\\n r.error(415, current.ERROR.BAD_FORMAT)\\n\\n return output\",\n \"def mock_s3_fixture():\\n with mock_s3():\\n yield\",\n \"def __call__(self, *args, **kwargs):\\n return self._func(*args, **kwargs)\",\n \"def callmethod(\\n self, method: str, *args: Sequence[Any], **kwargs: Sequence[Any]\\n ) -> List[Any]:\\n return getattr(self, method)(*args, **kwargs)\",\n \"def map_method(self, method_name, *args, **kwds):\\r\\n return self.map(self._call_extension_method,\\r\\n method_name, *args, **kwds)\",\n \"def __init__(self, name: str, args: S3Args, opts: ResourceOptions = None):\\n super().__init__(\\\"custom:resource:S3\\\", name, {}, opts)\\n \\\"\\\"\\\"Override ComponentResource class constructor\\\"\\\"\\\"\\n\\n self.bucket_final = Output.all(\\n args.project_name,\\n args.bucket_name\\n ).apply(\\n lambda arg: f\\\"{arg[0]}-{arg[1]}\\\"\\n )\\n\\n self.bucket = aws.s3.Bucket(\\n args.bucket_name,\\n bucket=self.bucket_final,\\n acl=\\\"private\\\",\\n tags={\\n \\\"BillingCode\\\": args.billing_code,\\n \\\"Name\\\": self.bucket_final,\\n \\\"Project\\\": args.project_name,\\n },\\n server_side_encryption_configuration={\\n \\\"rule\\\": {\\n \\\"applyServerSideEncryptionByDefault\\\": {\\n \\\"sseAlgorithm\\\": \\\"AES256\\\",\\n },\\n },\\n },\\n opts=ResourceOptions(parent=self)\\n )\\n\\n self.deny_vpce_policy = Output.all(\\n args.ec2_role_arn,\\n self.bucket.arn,\\n args.vpc_endpoint_id\\n ).apply(\\n lambda args:\\n aws.iam.get_policy_document(\\n version=\\\"2012-10-17\\\",\\n statements=[\\n aws.iam.GetPolicyDocumentStatementArgs(\\n sid=\\\"Access-to-specific-VPCE-only\\\",\\n principals=[\\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\\n identifiers=[args[0]],\\n type=\\\"AWS\\\",\\n )\\n ],\\n actions=[\\n \\\"s3:DeleteObject\\\",\\n \\\"s3:GetObject\\\",\\n \\\"s3:ListBucket\\\",\\n \\\"s3:PutObject\\\",\\n \\\"s3:RestoreObject\\\",\\n ],\\n effect=\\\"Deny\\\",\\n resources=[\\n args[1],\\n args[1]+\\\"/*\\\"\\n ],\\n conditions=[\\n aws.iam.GetPolicyDocumentStatementConditionArgs(\\n test=\\\"StringNotEquals\\\",\\n values=[args[2]],\\n variable=\\\"aws:sourceVpce\\\",\\n )\\n ],\\n )\\n ],\\n opts=ResourceOptions(parent=self.bucket)\\n )\\n )\\n\\n admin_principals = []\\n for admin in args.admin_list:\\n admin_principals.append(f\\\"arn:aws:iam::{current_id}:user/{admin}\\\")\\n\\n self.admin_access_policy = Output.all(self.bucket.arn).apply(\\n lambda args:\\n aws.iam.get_policy_document(\\n version=\\\"2012-10-17\\\",\\n statements=[\\n aws.iam.GetPolicyDocumentStatementArgs(\\n sid=\\\"admin-access\\\",\\n principals=[\\n aws.iam.GetPolicyDocumentStatementPrincipalArgs(\\n identifiers=admin_principals,\\n type=\\\"AWS\\\",\\n )\\n ],\\n actions=[\\\"s3:*\\\"],\\n effect=\\\"Allow\\\",\\n resources=[\\n args[0],\\n args[0]+\\\"/*\\\"\\n ],\\n )\\n ],\\n opts=ResourceOptions(parent=self.bucket)\\n )\\n )\\n\\n self.policy = aws.s3.BucketPolicy(\\n f'{args.bucket_name}-policy',\\n bucket=self.bucket.id,\\n policy=aws.iam.get_policy_document(\\n source_json=self.deny_vpce_policy.json,\\n override_json=self.admin_access_policy.json,\\n ).json,\\n opts=ResourceOptions(parent=self.bucket)\\n )\\n\\n self.register_outputs({})\",\n \"def lambda_handler(event, context):\\n\\n # try:\\n # ip = requests.get(\\\"http://checkip.amazonaws.com/\\\")\\n # except requests.RequestException as e:\\n # # Send some context about this error to Lambda Logs\\n # print(e)\\n\\n # raise e\\n\\n try:\\n response = s3.get_object(Bucket=BUCKET, Key=KEY)\\n print('CONTENT TYPE:', response['ContentType'])\\n print('response:')\\n pprint.pprint(response)\\n print('event')\\n pprint.pprint(event)\\n print('payload')\\n pprint.pprint(event.get('payload'))\\n # return json.loads(json.dumps(response, default=str))\\n # defined by https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-lambda-proxy-integrations.html#api-gateway-simple-proxy-for-lambda-output-format\\n return {\\n 'statusCode': 200,\\n 'isBase64Encoded': False,\\n 'body': json.dumps(response, default=str)\\n }\\n # return response['ContentType']\\n except Exception as e:\\n print(e)\\n print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(KEY, BUCKET))\\n raise e\",\n \"def __call__(self, *events):\\n if self._func_is_method and self._ob is not None:\\n return self._func(self._ob(), *events)\\n else:\\n return self._func(*events)\",\n \"def s3_request(func):\\n\\n @wraps(func)\\n def wrapper(url, *args, **kwargs):\\n try:\\n return func(url, *args, **kwargs)\\n except ClientError as exc:\\n if int(exc.response[\\\"Error\\\"][\\\"Code\\\"]) == 404:\\n raise EnvironmentError(\\\"file {} not found\\\".format(url))\\n else:\\n raise\\n\\n return wrapper\",\n \"def s3_request(func):\\n\\n @wraps(func)\\n def wrapper(url, *args, **kwargs):\\n try:\\n return func(url, *args, **kwargs)\\n except ClientError as exc:\\n if int(exc.response[\\\"Error\\\"][\\\"Code\\\"]) == 404:\\n raise EnvironmentError(\\\"file {} not found\\\".format(url))\\n else:\\n raise\\n\\n return wrapper\",\n \"def test_aws_service_api_vm_patch(self):\\n pass\",\n \"def tranquilize(method='get', requires_authentication=None):\\n\\n #just to be safe\\n method = method.lower()\\n\\n def _dart(f):\\n f._spec = _prepare(f)\\n f._method = method\\n f._methods = None\\n f._requires_authentication = requires_authentication\\n return f\\n\\n return _dart\",\n \"def test_aws_service_api_keypair_get(self):\\n pass\",\n \"def call(\\n self,\\n method,\\n path,\\n params=None,\\n headers=None,\\n files=None,\\n url_override=None,\\n api_version=None,\\n ):\\n if self._should_restore_default_page_size(params):\\n params.update(**{\\\"limit\\\": self.default_page_size})\\n response = super().call(method, path, params, headers, files, url_override, api_version)\\n self._update_insights_throttle_limit(response)\\n self._handle_call_rate_limit(response, params)\\n return response\",\n \"def ServiceMethod(fn):\\n\\n fn.IsServiceMethod = True\\n return fn\",\n \"def __call__(self, *args, **kwargs):\\n return self.func(*args, **kwargs)\",\n \"def __call__(self, *args, **kwargs):\\n return self.func(*args, **kwargs)\",\n \"def __call__(self, *args, **kwargs):\\n\\n return self.__class__(self._obj, *args, **kwargs)\",\n \"def __call__(self, method):\\n self._method = method\\n\\n async def wrapper(*args, **kwargs):\\n \\\"\\\"\\\"Wrap the method.\\\"\\\"\\\"\\n if self.name is None:\\n self.name = str(self._method.__qualname__).lower().replace(\\\".\\\", \\\"_\\\")\\n try:\\n self._coresys = args[0].coresys\\n except AttributeError:\\n return False\\n\\n if not self._coresys:\\n raise JobException(f\\\"coresys is missing on {self.name}\\\")\\n\\n job = self._coresys.jobs.get_job(self.name)\\n\\n if self.conditions and not self._check_conditions():\\n return False\\n\\n try:\\n return await self._method(*args, **kwargs)\\n except HassioError as err:\\n raise err\\n except Exception as err:\\n _LOGGER.exception(\\\"Unhandled exception: %s\\\", err)\\n sentry_sdk.capture_exception(err)\\n raise JobException() from err\\n finally:\\n if self.cleanup:\\n self._coresys.jobs.remove_job(job)\\n\\n return wrapper\",\n \"def decorate_HTTP_verb_method(method):\\n @functools.wraps(method)\\n def wrapper(self, RIC_base_uri, **kwargs):\\n partition = kwargs.pop('partition', '')\\n name = kwargs.pop('name', '')\\n sub_path = kwargs.pop('subPath', '')\\n suffix = kwargs.pop('suffix', '')\\n uri_as_parts = kwargs.pop('uri_as_parts', False)\\n if uri_as_parts:\\n REST_uri = generate_bigip_uri(RIC_base_uri, partition, name,\\n sub_path, suffix, **kwargs)\\n else:\\n REST_uri = RIC_base_uri\\n pre_message = \\\"%s WITH uri: %s AND suffix: %s AND kwargs: %s\\\" %\\\\\\n (method.__name__, REST_uri, suffix, kwargs)\\n logging.debug(pre_message)\\n response = method(self, REST_uri, **kwargs)\\n post_message =\\\\\\n \\\"RESPONSE::STATUS: %s Content-Type: %s Content-Encoding:\\\"\\\\\\n \\\" %s\\\\nText: %r\\\" % (response.status_code,\\n response.headers.get('Content-Type', None),\\n response.headers.get('Content-Encoding', None),\\n response.text)\\n logging.debug(post_message)\\n if response.status_code not in range(200, 207):\\n error_message = '%s Unexpected Error: %s for uri: %s\\\\nText: %r' %\\\\\\n (response.status_code,\\n response.reason,\\n response.url,\\n response.text)\\n raise iControlUnexpectedHTTPError(error_message, response=response)\\n return response\\n return wrapper\",\n \"def test_aws_service_api_vm_get(self):\\n pass\",\n \"def mock_amazon():\\n amazon = Amazon()\\n amazon.carrot1 = 'cenoura normal'\\n amazon.carrot2 = 'cenoura radioativa'\\n amazon.carrot_number = 575\\n return amazon\",\n \"def __getattr__(self, method):\\n def run_callback(func, plus, result):\\n \\\"\\\"\\\"Execute the given callback safely.\\n Get data and/or error from result and call func passing it\\n data, plus (if needed) and error. Catch, log and suppress\\n all exceptions.\\n func (function): the callback to invoke.\\n plus (object): optional additional data.\\n result (AsyncResult): the result of a (finished) RPC call.\\n \\\"\\\"\\\"\\n data = result.value\\n error = None if result.successful() else \\\"%s\\\" % result.exception\\n try:\\n if plus is None:\\n func(data, error=error)\\n else:\\n func(data, plus, error=error)\\n except Exception as error:\\n logger.error(\\\"RPC callback for %s.%s raised exception.\\\",\\n self.remote_service_coord.name, method,\\n exc_info=True)\\n\\n def remote_method(**data):\\n \\\"\\\"\\\"Forward arguments to execute_rpc.\\n \\\"\\\"\\\"\\n callback = data.pop(\\\"callback\\\", None)\\n plus = data.pop(\\\"plus\\\", None)\\n result = self.execute_rpc(method=method, data=data)\\n if callback is not None:\\n callback = functools.partial(run_callback, callback, plus)\\n result.rawlink(functools.partial(gevent.spawn, callback))\\n return result\\n\\n return remote_method\"\n]","isConversational":false},"negative_scores":{"kind":"list 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\"0.6867628\",\n \"0.6424001\",\n \"0.55805993\",\n \"0.5508542\",\n \"0.5488377\",\n \"0.5417456\",\n \"0.53769153\",\n \"0.534277\",\n \"0.5236493\",\n \"0.5206002\",\n \"0.5194725\",\n \"0.51764464\",\n \"0.5175369\",\n \"0.51672405\",\n \"0.5091889\",\n \"0.5048222\",\n \"0.50451034\",\n \"0.5020509\",\n \"0.5010022\",\n \"0.49961105\",\n \"0.49813974\",\n \"0.497495\",\n \"0.49507272\",\n \"0.4944728\",\n \"0.4880305\",\n \"0.48793724\",\n \"0.48755848\",\n \"0.48643434\",\n \"0.4854807\",\n \"0.48447433\",\n \"0.48442733\",\n \"0.4822769\",\n \"0.47975942\",\n \"0.47784844\",\n \"0.47649994\",\n \"0.47555003\",\n \"0.47518817\",\n \"0.4751196\",\n \"0.4746962\",\n \"0.47456482\",\n \"0.47441098\",\n \"0.4740985\",\n \"0.47397283\",\n \"0.47276604\",\n \"0.4721331\",\n \"0.4719694\",\n \"0.47148743\",\n \"0.4710874\",\n \"0.4704307\",\n \"0.47035956\",\n \"0.46868995\",\n \"0.46592343\",\n \"0.46499106\",\n \"0.46457848\",\n \"0.46294546\",\n \"0.4618945\",\n \"0.46138218\",\n \"0.46078742\",\n \"0.4604254\",\n \"0.45999068\",\n \"0.4596586\",\n \"0.4586505\",\n \"0.4586394\",\n \"0.4583155\",\n \"0.45830157\",\n \"0.45728898\",\n \"0.45718732\",\n \"0.455921\",\n \"0.4548159\",\n \"0.45466152\",\n \"0.45461008\",\n \"0.45441145\",\n \"0.45399725\",\n \"0.4539744\",\n \"0.45342577\",\n \"0.45336574\",\n \"0.45335382\",\n \"0.45309645\",\n \"0.4528861\",\n \"0.45274556\",\n \"0.4517319\",\n \"0.4514349\",\n \"0.45108208\",\n \"0.45018792\",\n \"0.45013765\",\n \"0.44945487\",\n \"0.44945487\",\n \"0.4494418\",\n \"0.4491223\",\n \"0.44855618\",\n \"0.4483454\",\n \"0.4481721\",\n \"0.4481325\",\n \"0.4481325\",\n \"0.4471434\",\n \"0.44712332\",\n \"0.44702312\",\n \"0.44676432\",\n \"0.44671285\",\n \"0.44643906\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.6325436"},"document_rank":{"kind":"string","value":"2"}}},{"rowIdx":1794,"cells":{"query":{"kind":"string","value":"Gets all AWS regions that Krux can access"},"document":{"kind":"string","value":"def get_valid_regions(self):\n pass"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _get_available_regions():\n session = boto3.session.Session()\n\n return session.get_available_regions(service_name='s3')","def get_regions(ec2_client=None):\n if not ec2_client:\n ec2_client = boto3.client('ec2')\n resp = ec2_client.describe_regions()\n return [region['RegionName'] for region in resp.get('Regions', [])]","def get_available_regions(service_name):\n session = boto3.session.Session()\n return session.get_available_regions(service_name)","def get_available_regions(service_name):\n session = boto3.session.Session()\n return session.get_available_regions(service_name)","def get_valid_regions(self):\n conn = self._boto.ec2.connect_to_region(self.cli_region)\n\n regions = []\n for region in conn.get_all_regions():\n if getattr(RegionCode.Region, region.name, None) is not None:\n regions.append(RegionCode.Region[region.name])\n else:\n regions.append(region.name)\n\n return regions","def get_valid_regions(self):\n client = self._boto.client('ec2')\n\n regions = []\n for region in client.describe_regions().get('Regions', []):\n if getattr(RegionCode.Region, region.get('RegionName'), None) is not None:\n regions.append(RegionCode.Region[region.get('RegionName')])\n else:\n regions.append(region.get('RegionName'))\n\n return regions","def regions(self) -> Sequence[str]:\n return pulumi.get(self, \"regions\")","def test_aws_service_api_regions_get(self):\n pass","def get_regions(self):\n return self._regions","def regions(self) -> pulumi.Output[Sequence[str]]:\n return pulumi.get(self, \"regions\")","def regions(self, member_state):\n rates = self._get_rates(member_state)\n return list(rates.regions.keys())","def regions(self):\n return self._regions","def api_get_regions():\n db_session = DBSession()\n\n rows = []\n criteria = '%'\n if request.args and request.args.get('q'):\n criteria += request.args.get('q') + '%'\n else:\n criteria += '%'\n\n regions = db_session.query(Region).filter(Region.name.like(criteria)).order_by(Region.name.asc()).all()\n if len(regions) > 0:\n if request.args.get('show_all'):\n rows.append({'id': 0, 'text': 'ALL'})\n for region in regions:\n rows.append({'id': region.id, 'text': region.name})\n\n return jsonify(**{'data': rows})","def get_regions(**kwargs):\n\n instance = Ceic._get_instance()\n\n get_dictionaries_method = instance._dictionary_facade.get_regions\n result = instance._make_request(get_dictionaries_method, **kwargs)\n\n return result","def filter_regions(self):\n return self.filter_nodes('/DistrictBuilder/Regions/Region')","def list_regions(self, **kwargs):\n resource_path = \"/regions\"\n method = \"GET\"\n\n expected_kwargs = [\"retry_strategy\"]\n extra_kwargs = [_key for _key in six.iterkeys(kwargs) if _key not in expected_kwargs]\n if extra_kwargs:\n raise ValueError(\n \"list_regions got unknown kwargs: {!r}\".format(extra_kwargs))\n\n header_params = {\n \"accept\": \"application/json\",\n \"content-type\": \"application/json\"\n }\n\n retry_strategy = self.retry_strategy\n if kwargs.get('retry_strategy'):\n retry_strategy = kwargs.get('retry_strategy')\n\n if retry_strategy:\n return retry_strategy.make_retrying_call(\n self.base_client.call_api,\n resource_path=resource_path,\n method=method,\n header_params=header_params,\n response_type=\"list[Region]\")\n else:\n return self.base_client.call_api(\n resource_path=resource_path,\n method=method,\n header_params=header_params,\n response_type=\"list[Region]\")","def getStudyRegions():\n comp_name = os.environ['COMPUTERNAME']\n conn = py.connect('Driver=ODBC Driver 11 for SQL Server;SERVER=' +\n comp_name + '\\HAZUSPLUSSRVR; UID=SA;PWD=Gohazusplus_02')\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\n cursor = conn.cursor()\n cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \n for state in cursor:\n exclusionRows.append(state[0])\n cursor = conn.cursor()\n cursor.execute('SELECT * FROM sys.databases')\n studyRegions = []\n for row in cursor:\n if row[0] not in exclusionRows:\n studyRegions.append(row[0])\n studyRegions.sort(key=lambda x: x.lower())\n return studyRegions","def get_regions(self,online=False):\n clients = HWIOS.pb_server.get_clients()\n regions = []\n for client in clients:\n for service in client.region_services:\n if online: \n if service['status'] == 'ON':\n for region in service['regions']:\n regions.append(region)\n else:\n for region in service['regions']:\n region['status'] = service['status']\n regions.append(region)\n return regions","def regions(self) -> Optional[Sequence['outputs.GetTrafficPolicyDocumentRuleRegionResult']]:\n return pulumi.get(self, \"regions\")","def regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"regions\")","def get_all_reservations(config):\n reservations = []\n region_list = regions(aws_access_key_id=config.keys.api,\n aws_secret_access_key=config.keys.secret)\n for region in region_list:\n _logger.info(\"Searching %s\", region)\n cnx = region.connect(aws_access_key_id=config.keys.api,\n aws_secret_access_key=config.keys.secret)\n for reservation in cnx.get_all_instances():\n _logger.info(\"Found %s %s\", reservation,\n [str(i.id) for i in reservation.instances])\n reservations.append(reservation)\n return reservations","def region_clients(self, **kwargs):\n return stats.region_clients(self._host, self._session, **kwargs)","def getStudyRegions(self):\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\n self.cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \n for state in self.cursor:\n exclusionRows.append(state[0])\n query = 'SELECT * FROM sys.databases'\n df = pd.read_sql(query, self.conn)\n studyRegions = df[~df['name'].isin(exclusionRows)]['name']\n studyRegions = studyRegions.reset_index()\n studyRegions = studyRegions.drop('index', axis=1)\n self.studyRegions = studyRegions\n return studyRegions","def get_regions(self):\n if self.initiated is False:\n raise RuntimeError(\"Initiate first\")\n\n return self.R","def list_regions():\n regions_areas = (\n db.session.query(\n models.Region.code.label(\"region_code\"),\n models.Region.name.label(\"region_name\"),\n db.case([(models.District.code.is_(None),\n db.literal_column(\"'admin_area'\"))],\n else_=db.literal_column(\"'district'\")).label(\"area_type\"),\n db.case([(models.District.code.is_(None), models.AdminArea.code)],\n else_=models.District.code).label(\"area_code\"),\n db.case([(models.District.code.is_(None), models.AdminArea.name)],\n else_=models.District.name).label(\"area_name\")\n ).select_from(models.Region)\n .join(models.Region.areas)\n .outerjoin(models.AdminArea.districts)\n .filter(models.Region.code != \"GB\")\n .order_by(\"region_name\", \"area_name\")\n .all()\n )\n regions = {}\n areas = {}\n for row in regions_areas:\n regions[row.region_code] = row.region_name\n areas.setdefault(row.region_code, []).append(row)\n\n return render_template(\"regions.html\", regions=regions, areas=areas)","def regions(self):\n\n class RegionIter(object):\n def __init__(self, region_based):\n self._region_based = region_based\n\n def __len__(self):\n return self._region_based._region_len()\n\n def __iter__(self):\n return self()\n\n def _fix_chromosome(self, regions):\n for r in regions:\n r.fix_chromosome(copy=True)\n\n def __call__(self, key=None, *args, **kwargs):\n fix_chromosome = kwargs.pop('fix_chromosome', False)\n\n if key is None:\n iterator = self._region_based._region_iter(*args, **kwargs)\n else:\n if isinstance(key, string_types) or isinstance(key, GenomicRegion):\n iterator = self._region_based.region_subset(key, *args, **kwargs)\n else:\n iterator = self._region_based._get_regions(key, *args, **kwargs)\n\n if fix_chromosome:\n return self._fix_chromosome(iterator)\n else:\n return iterator\n\n def __getitem__(self, item):\n if isinstance(item, string_types) or isinstance(item, GenomicRegion):\n return self._region_based.region_subset(item)\n return self._region_based._get_regions(item)\n\n return RegionIter(self)","def ListRegions(self):\n project = properties.VALUES.core.project.GetOrFail()\n request = self.messages.CloudfunctionsProjectsLocationsListRequest(\n name='projects/' + project\n )\n return list_pager.YieldFromList(\n service=self.client.projects_locations,\n request=request,\n field='locations',\n batch_size_attribute='pageSize',\n )","def RegionList(self):\n command = \"\"\"\n IPython.notebook.kernel.execute(\"RegionList=\" + JSON.stringify(JS9.GetShapes(\"regions\", {{display: '{wid}JS9'}})));\n \"\"\".format(wid=self.wid)\n get_ipython().run_cell_magic('javascript', '', command)","def get_snapshots(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_snapshots = conn.get_all_snapshots(owner='self')\n except boto.exception.EC2ResponseError:\n return []\n return region_snapshots","def scope(self) -> List[Region]:\n return [self]","def get_regions_in_partition(self, prefix=None, delimiter='/'):\n if prefix is None:\n prefix = self.s3_path\n else:\n prefix = self._strip_slashes(prefix)\n\n query_params = {\n 'Bucket': self.s3_bucket,\n 'Prefix': prefix + '/',\n 'Delimiter': delimiter\n }\n\n # We currently should be able to get all regions in a single request\n # TODO: Fail if we get a next token - there's more to this prefix than meets the eye\n region_list = []\n response = self.s3_client.list_objects_v2(**query_params)\n for c_prefix in response.get('CommonPrefixes', []):\n region = self._extract_region_from_prefix(c_prefix)\n if region:\n region_list.append(region)\n\n return region_list","def get_all_db_region(self, context):\n zone_objs = self.dns_manager.get_all_db_region(context)\n return zone_objs","def DescribeAccessRegions(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeAccessRegions\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeAccessRegionsResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def get_instances(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_instances = []\n reservations = conn.get_all_reservations()\n for reservation in reservations:\n for instance in reservation.instances:\n region_instances.append(instance)\n except boto.exception.EC2ResponseError:\n return []\n return region_instances","def get_all_in_region(self, cloud_account_id: str, region_id: str) -> List[Dict]:\n\t\tquery_parameters = {'cloudAccountId': cloud_account_id, 'regionId': region_id}\n\t\treturn self._get(route=AWSSecurityGroupConsts.CLOUD_SECURITY_GROUP.value, params=query_parameters)","def get_regions():\n\n # Also known as the 'climbing directory'\n route_guide = urlopen('https://www.mountainproject.com/route-guide',\n context=ctx)\n # Opens HTML\n region_html = route_guide.read()\n # Parses HTML with BS package\n region_soup = BeautifulSoup(region_html, 'html.parser')\n # Finds regions area of the page\n regions = region_soup.find('div', id='route-guide')\\\n .find_all('div', class_='mb-half')\n\n for region in regions:\n # Link to region area guide\n url = region.find('a')['href']\n # English name of region\n region_name = region.find('a').get_text()\n # Writes region name and url to Areas DB. This gives the region a\n # unique id automatically\n cursor.execute('''\n INSERT INTO Areas(url, name)\n VALUES ('%s', '%s')\n ON CONFLICT DO NOTHING\n ''' % (url, region_name))\n # Commits to DB\n conn.commit()","def region(self):\n return [node.region for node in self]","def region(self):\n return regions.lookup(self.state)","def ls(region_name=DEFAULT_REGION):\n s3conn = s3.connect_to_region(region_name)\n buckets = s3conn.get_all_buckets()\n for bucket in buckets:\n print(bucket.name)","def regions(self):\n regions = set()\n for report in self._reports:\n region = report.model.region\n if region is None or region in regions:\n continue\n yield region","def get_db_regions(self, context, regions):\n regions_objs = self.dns_manager.get_db_regions(context, regions)\n return regions_objs","def scope(self) -> List[Region]:\n return self._scope","def _get_available_region_options():\n available_regions = sorted(_get_available_regions())\n options = [ConfigurationOption(region, region) for region in available_regions]\n\n return options","def describe_regions(\n self,\n request: dds_20151201_models.DescribeRegionsRequest,\n ) -> dds_20151201_models.DescribeRegionsResponse:\n runtime = util_models.RuntimeOptions()\n return self.describe_regions_with_options(request, runtime)","def lookups(self, request, model_admin):\r\n list_of_regions = []\r\n queryset = Region.objects.filter(parent__isnull=True).order_by(\"name\")\r\n for region in queryset:\r\n list_of_regions.append((str(region.id), region.name))\r\n return list_of_regions","def get_all_regions(self, region_names=None, filters=None):\r\n params = {}\r\n if region_names:\r\n self.build_list_params(params, region_names, 'RegionName')\r\n if filters:\r\n self.build_filter_params(params, filters)\r\n regions = self.get_list('DescribeRegions', params,\r\n [('item', RegionInfo)], verb='POST')\r\n for region in regions:\r\n region.connection_cls = EC2Connection\r\n return regions","def get_images(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_images = conn.get_all_images(owners=['self'])\n except boto.exception.EC2ResponseError:\n return []\n return region_images","def regions_by_tag(self, *tags: str) -> Iterable[str]:\n node = self.shards_xml(\"regionsbytag\", tags=\",\".join(tags))[\"regions\"]\n text = node.text if node.text else \"\"\n return text.split(\",\")","def get_regions(locale):\n\n def json_file(name):\n return os.path.join(json_dir, 'regions', '%s.json' % name)\n\n filepath = json_file(locale)\n\n if not os.path.exists(filepath):\n filepath = json_file('en-US')\n if not os.path.exists(filepath):\n raise Exception('Unable to load region data')\n\n with codecs.open(filepath, encoding='utf8') as fd:\n return json.load(fd)","def _get_global_table_all_regions(table_name: str) -> List[dict]:\n description = _describe_table(table_name=table_name)\n replicas = description['Table'].get('Replicas', [])\n return replicas","def GetWorldRegions():\n return GetDataFromCsvFile('world_regions.csv')","def get_regionlist(chosenmodel):\n regionlist = list(chosenmodel.regions.keys())\n [ regionlist.remove(key) for key in regionlist\n if type(chosenmodel.regions[key]) is dict ]\n return regionlist","def test_api_regions(self):\n # load api base\n r = requests.get('{server}/api/0.1/'.format(\n server=self.get_server_url())).json()\n # load regions from url specified in api base\n r = requests.get(r['regions']).json()\n self.assertIn('count', r)\n self.assertIn('next', r)\n self.assertIn('prev', r)\n self.assertIn('regions', r)","def vpc_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"vpc_region\")","def get_aws_reserved_networks(region=None, all_regions=False):\n result = []\n if all_regions:\n for aws_region in get_aws_regions_list():\n for vpc in boto3.client('ec2', region_name=aws_region).describe_vpcs()['Vpcs']:\n result.append(vpc)\n else:\n result = boto3.client('ec2', region_name=region).describe_vpcs()['Vpcs']\n\n vpc_used_cidr_list = []\n for vpc in result:\n vpc_used_cidr_list.append(PyVPCBlock(network=ipaddress.ip_network(vpc['CidrBlock']),\n resource_id=vpc['VpcId'],\n name=get_aws_resource_name(vpc),\n resource_type='vpc'))\n return vpc_used_cidr_list","def test_aws_service_api_availability_zones_get(self):\n pass","def getregion(self, *args, **kwargs):\n return _image.image_getregion(self, *args, **kwargs)","def source_region_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:\n return pulumi.get(self, \"source_region_ids\")","def list_rds(region, filter_by_kwargs):\n conn = boto.rds.connect_to_region(region)\n instances = conn.get_all_dbinstances()\n return lookup(instances, filter_by=filter_by_kwargs)","def DescribeAccessRegionsByDestRegion(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeAccessRegionsByDestRegion\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeAccessRegionsByDestRegionResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def read_regions(namefile):\n db = shelve.open(namefile)\n key_firms = db['nif']\n regions = db['regions']\n methodvalues = db['methodvalues']\n db.close()\n return key_firms, regions, methodvalues","def getImages(region):\n creds = credentials()\n try:\n conn = ec2.connect_to_region(region, **creds)\n images = conn.get_all_images(owners=['self'])\n except boto.exception.EC2ResponseError:\n return []\n return images","async def describe_regions_async(\n self,\n request: dds_20151201_models.DescribeRegionsRequest,\n ) -> dds_20151201_models.DescribeRegionsResponse:\n runtime = util_models.RuntimeOptions()\n return await self.describe_regions_with_options_async(request, runtime)","def operating_regions(self) -> pulumi.Output[Optional[Sequence['outputs.IpamOperatingRegion']]]:\n return pulumi.get(self, \"operating_regions\")","def getRegions(self, clearCache=False):\n if clearCache:\n self._regionCache = None\n if self._regionCache is not None:\n return self._regionCache\n\n self.lock.acquire()\n\n regions = []\n self._regionsByName = {}\n\n # Iterate over all descriptors (even numbered regions)\n for index in range(0, MAX_REGIONS, 2):\n def storeDescriptor(descriptor, index=index):\n size = struct.unpack(\"<I\", descriptor[:4])[0]\n name = descriptor[4:].split('\\x00')[0]\n if name:\n region = Region(index + 1, size, name)\n regions.append(region)\n self._regionsByName[name] = region\n\n # Send the command the low-level way, since we already have the lock.\n self.recv.queue.put((MAX_DESCRIPTOR_LEN, storeDescriptor))\n self.send.queue.put(opSetRegion(index) + opReadLongs(MAX_DESCRIPTOR_LEN))\n\n self.recv.queue.join()\n self._regionCache = regions\n\n self.lock.release()\n return regions","def get_regionlist_of_componentgroup(chosenmodel, componentgroup_name):\n return list(chosenmodel.regions[componentgroup_name].keys())","def DescribeDestRegions(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeDestRegions\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeDestRegionsResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def region(self, args):\n m = MessageClass()\n print('123124')\n data = {'list': []}\n data['list'].append({\"Region_Name\": \"us-east-1\"})\n data['list'].append({\"Region_Name\": \"us-east-2\"})\n data['list'].append({\"Region_Name\": \"us-west-1\"})\n data['list'].append({\"Region_Name\": \"us-west-2\"})\n data['list'].append({\"Region_Name\": \"ap-northeast-1\"})\n data['list'].append({\"Region_Name\": \"ap-northeast-2\"})\n data['list'].append({\"Region_Name\": \"ap-south-1\"})\n data['list'].append({\"Region_Name\": \"ap-southeast-1\"})\n data['list'].append({\"Region_Name\": \"ap-southeast-1\"})\n data['list'].append({\"Region_Name\": \"ca-central-1\"})\n data['list'].append({\"Region_Name\": \"eu-central-1\"})\n data['list'].append({\"Region_Name\": \"eu-west-1\"})\n data['list'].append({\"Region_Name\": \"eu-west-2\"})\n data['list'].append({\"Region_Name\": \"eu-west-3\"})\n data['list'].append({\"Region_Name\": \"sa-east-1\"})\n m.data = data\n return m.to_json()","def get_region(self):\n return self.creds.get('region_name')","def endpoint_group_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"endpoint_group_region\")","def load_all_countries(self):\n core = self.core\n regionNodes = core.load_children(self.META[\"Countries\"])\n countryNodes = []\n if regionNodes:\n for regionNode in regionNodes:\n if core.get_base_type(regionNode) == self.META[\"Region\"]:\n countryNodes += core.load_children(regionNode)\n return countryNodes\n else:\n print(\"There are no regions in the database\")","def listPredefinedRegions(self):\n\n res = self._Client__proxy.listPredefinedRegions(\n self._Client__session)\n\n self.checkResult(res)\n return res[\"predefinedRegions\"]","def region(self):\n return self.config.region","def list_internet_gateways(\n profile_name: str = 'terraform',\n region_name: str = 'us-east-1'\n) -> [str]:\n session = boto3.Session(profile_name=profile_name)\n client = session.client(service_name='ec2', region_name=region_name)\n elements = client.describe_internet_gateways()\n _lines = []\n for element in elements['InternetGateways']:\n x = InternetGateway(element['InternetGatewayId'])\n x.vpc_id = element['Attachments'][0]['VpcId']\n x.tags = element['Tags']\n _lines.append(x)\n return _lines","def get_zones(region=None, key=None, keyid=None, profile=None):\n conn = _get_conn(region=region, key=key, keyid=keyid, profile=profile)\n\n return [z.name for z in conn.get_all_zones()]","def regions_dict(self):\n regions_dict = dict()\n for i, r in enumerate(self.regions):\n regions_dict[getattr(r, 'ix', i)] = r\n return regions_dict","def region(self):\n if self._region is None:\n cache_key = self.expand_name(\"region\")\n cached = unitdata.kv().get(cache_key)\n if cached:\n self._region = cached\n else:\n req = self._imdv2_request(self._az_url)\n with urlopen(req) as fd:\n az = fd.read(READ_BLOCK_SIZE).decode(\"utf8\")\n self._region = az.rstrip(string.ascii_lowercase)\n unitdata.kv().set(cache_key, self._region)\n return self._region","def azs_lookup(session, lambda_compatible_only=False):\n if session is None:\n return []\n\n client = session.client('ec2')\n response = client.describe_availability_zones()\n # SH Removing Hack as subnet A is already in Production and causes issues trying to delete\n # We will strip out subnets A and C when creating the lambdas.\n #rtn = [(z[\"ZoneName\"], z[\"ZoneName\"][-1]) for z in response[\"AvailabilityZones\"] if z['ZoneName'] != 'us-east-1a']\n rtn = [(z[\"ZoneName\"], z[\"ZoneName\"][-1]) for z in response[\"AvailabilityZones\"]]\n\n if lambda_compatible_only:\n current_account = get_account_id_from_session(session)\n for az in rtn.copy():\n if az[1] == 'c' and current_account == hosts.PROD_ACCOUNT:\n rtn.remove(az)\n if az[1] == 'a' and current_account == hosts.DEV_ACCOUNT:\n rtn.remove(az)\n return rtn","def whitelist_regions(self):\n return getattr(self, '_do_whitelist_regions', False)","def listInstancesRegionZone(region,zone):\n\tprint \"-\"*80\n\tprint \"# Region :\",region,\" Zone\", zone\t\n\tprint \"-\"*80\n\tinstances = getInstancesRegionZone(region,zone)\n\tif instances:\n\t\tfor instance in instances:\n\t\t\tprint \"[\",instance.ami_launch_index,\"]\",instance.ip_address,\" (\",instance.private_ip_address,\") \",instance.instance_type,\" key=\",instance.key_name","def get_region_dict(self):\n if self.initiated is False:\n raise RuntimeError(\"Initiate first\")\n\n return self._region_dict","def get_transcript_regions(self, transcriptId):\n\n regions = self.get_regions('exon')\n transcriptRegions = []\n for region in regions:\n if region.transcriptId == transcriptId:\n transcriptRegions.append(region)\n return transcriptRegions","def get_region_services(self,format=None):\n clients = HWIOS.pb_server.get_clients()\n region_services = []\n for client in clients:\n region_services.extend(client.region_services)\n #for django forms\n if format == 'tuple':\n tuple_list = []\n for region_service in region_services:\n tuple_list.append((region_service['uuid'],region_service['name']))\n return tuple_list\n return region_services","def region(self):\n return self._get(\"region\")","def list_buckets():\n for bucket in s3.buckets.all():\n print(bucket)","def operating_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IpamOperatingRegionArgs']]]]:\n return pulumi.get(self, \"operating_regions\")","def get(self, request):\n conn = get_sdk_connection(request)\n availability_zone_list = _sdk_object_to_list(\n conn.load_balancer.availability_zones()\n )\n\n return {'items': availability_zone_list}","def children(self) -> List[Region]:\n return []","def regions_json(self, filename):\n with open(filename) as f:\n return json.load(f)","def rendered_regions(self, obj):\n return obj.render_json(self.context.get('request'))","def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"source_region_ids\")","def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"source_region_ids\")","def load_aws_region_name() -> str:\n session = boto3.session.Session()\n region_name = (\n click.get_current_context().params.get(\"region\") or session.region_name\n )\n return region_name","def avail_locations(session=None, call=None):\n # TODO: need to figure out a good meaning of locations in Xen\n if call == \"action\":\n raise SaltCloudException(\n \"The avail_locations function must be called with -f or --function.\"\n )\n return pool_list()","def get_volumes(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_volumes = conn.get_all_volumes()\n except boto.exception.EC2ResponseError:\n return [] # This better not fail silently or I'll cut a person.\n return region_volumes","def get_all_zones():\n cf = CloudFlare.CloudFlare(raw=True)\n page_number = 0\n total_pages = 1\n all_zones = []\n while page_number < total_pages:\n page_number += 1\n raw_results = cf.zones.get(params={'per_page':100, 'page':page_number})\n zones = raw_results['result']\n all_zones += zones\n total_pages = raw_results['result_info']['total_pages']\n return all_zones","def get_bucketlist():\n pass","def ffgs_regions():\n return [\n ('Hispaniola', 'hispaniola'),\n ('Central America', 'centralamerica')\n ]","def ReadRegions(self, fname=\"temp\"):\n self.fname = fname\n command = \"\"\"IPython.notebook.kernel.execute('file = open(\"temp\", \"w\"); [file.write(x[\"wcsstr\"]) for x in '+ JSON.stringify(JS9.GetShapes(\"regions\", {{display: '{wid}JS9'}})) +']; file.close()');\"\"\".format(wid=self.wid)\n get_ipython().run_cell_magic('javascript', '', command)","def region(self) -> str:\n return pulumi.get(self, \"region\")"],"string":"[\n \"def _get_available_regions():\\n session = boto3.session.Session()\\n\\n return session.get_available_regions(service_name='s3')\",\n \"def get_regions(ec2_client=None):\\n if not ec2_client:\\n ec2_client = boto3.client('ec2')\\n resp = ec2_client.describe_regions()\\n return [region['RegionName'] for region in resp.get('Regions', [])]\",\n \"def get_available_regions(service_name):\\n session = boto3.session.Session()\\n return session.get_available_regions(service_name)\",\n \"def get_available_regions(service_name):\\n session = boto3.session.Session()\\n return session.get_available_regions(service_name)\",\n \"def get_valid_regions(self):\\n conn = self._boto.ec2.connect_to_region(self.cli_region)\\n\\n regions = []\\n for region in conn.get_all_regions():\\n if getattr(RegionCode.Region, region.name, None) is not None:\\n regions.append(RegionCode.Region[region.name])\\n else:\\n regions.append(region.name)\\n\\n return regions\",\n \"def get_valid_regions(self):\\n client = self._boto.client('ec2')\\n\\n regions = []\\n for region in client.describe_regions().get('Regions', []):\\n if getattr(RegionCode.Region, region.get('RegionName'), None) is not None:\\n regions.append(RegionCode.Region[region.get('RegionName')])\\n else:\\n regions.append(region.get('RegionName'))\\n\\n return regions\",\n \"def regions(self) -> Sequence[str]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def test_aws_service_api_regions_get(self):\\n pass\",\n \"def get_regions(self):\\n return self._regions\",\n \"def regions(self) -> pulumi.Output[Sequence[str]]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def regions(self, member_state):\\n rates = self._get_rates(member_state)\\n return list(rates.regions.keys())\",\n \"def regions(self):\\n return self._regions\",\n \"def api_get_regions():\\n db_session = DBSession()\\n\\n rows = []\\n criteria = '%'\\n if request.args and request.args.get('q'):\\n criteria += request.args.get('q') + '%'\\n else:\\n criteria += '%'\\n\\n regions = db_session.query(Region).filter(Region.name.like(criteria)).order_by(Region.name.asc()).all()\\n if len(regions) > 0:\\n if request.args.get('show_all'):\\n rows.append({'id': 0, 'text': 'ALL'})\\n for region in regions:\\n rows.append({'id': region.id, 'text': region.name})\\n\\n return jsonify(**{'data': rows})\",\n \"def get_regions(**kwargs):\\n\\n instance = Ceic._get_instance()\\n\\n get_dictionaries_method = instance._dictionary_facade.get_regions\\n result = instance._make_request(get_dictionaries_method, **kwargs)\\n\\n return result\",\n \"def filter_regions(self):\\n return self.filter_nodes('/DistrictBuilder/Regions/Region')\",\n \"def list_regions(self, **kwargs):\\n resource_path = \\\"/regions\\\"\\n method = \\\"GET\\\"\\n\\n expected_kwargs = [\\\"retry_strategy\\\"]\\n extra_kwargs = [_key for _key in six.iterkeys(kwargs) if _key not in expected_kwargs]\\n if extra_kwargs:\\n raise ValueError(\\n \\\"list_regions got unknown kwargs: {!r}\\\".format(extra_kwargs))\\n\\n header_params = {\\n \\\"accept\\\": \\\"application/json\\\",\\n \\\"content-type\\\": \\\"application/json\\\"\\n }\\n\\n retry_strategy = self.retry_strategy\\n if kwargs.get('retry_strategy'):\\n retry_strategy = kwargs.get('retry_strategy')\\n\\n if retry_strategy:\\n return retry_strategy.make_retrying_call(\\n self.base_client.call_api,\\n resource_path=resource_path,\\n method=method,\\n header_params=header_params,\\n response_type=\\\"list[Region]\\\")\\n else:\\n return self.base_client.call_api(\\n resource_path=resource_path,\\n method=method,\\n header_params=header_params,\\n response_type=\\\"list[Region]\\\")\",\n \"def getStudyRegions():\\n comp_name = os.environ['COMPUTERNAME']\\n conn = py.connect('Driver=ODBC Driver 11 for SQL Server;SERVER=' +\\n comp_name + '\\\\HAZUSPLUSSRVR; UID=SA;PWD=Gohazusplus_02')\\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\\n cursor = conn.cursor()\\n cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \\n for state in cursor:\\n exclusionRows.append(state[0])\\n cursor = conn.cursor()\\n cursor.execute('SELECT * FROM sys.databases')\\n studyRegions = []\\n for row in cursor:\\n if row[0] not in exclusionRows:\\n studyRegions.append(row[0])\\n studyRegions.sort(key=lambda x: x.lower())\\n return studyRegions\",\n \"def get_regions(self,online=False):\\n clients = HWIOS.pb_server.get_clients()\\n regions = []\\n for client in clients:\\n for service in client.region_services:\\n if online: \\n if service['status'] == 'ON':\\n for region in service['regions']:\\n regions.append(region)\\n else:\\n for region in service['regions']:\\n region['status'] = service['status']\\n regions.append(region)\\n return regions\",\n \"def regions(self) -> Optional[Sequence['outputs.GetTrafficPolicyDocumentRuleRegionResult']]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def get_all_reservations(config):\\n reservations = []\\n region_list = regions(aws_access_key_id=config.keys.api,\\n aws_secret_access_key=config.keys.secret)\\n for region in region_list:\\n _logger.info(\\\"Searching %s\\\", region)\\n cnx = region.connect(aws_access_key_id=config.keys.api,\\n aws_secret_access_key=config.keys.secret)\\n for reservation in cnx.get_all_instances():\\n _logger.info(\\\"Found %s %s\\\", reservation,\\n [str(i.id) for i in reservation.instances])\\n reservations.append(reservation)\\n return reservations\",\n \"def region_clients(self, **kwargs):\\n return stats.region_clients(self._host, self._session, **kwargs)\",\n \"def getStudyRegions(self):\\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\\n self.cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \\n for state in self.cursor:\\n exclusionRows.append(state[0])\\n query = 'SELECT * FROM sys.databases'\\n df = pd.read_sql(query, self.conn)\\n studyRegions = df[~df['name'].isin(exclusionRows)]['name']\\n studyRegions = studyRegions.reset_index()\\n studyRegions = studyRegions.drop('index', axis=1)\\n self.studyRegions = studyRegions\\n return studyRegions\",\n \"def get_regions(self):\\n if self.initiated is False:\\n raise RuntimeError(\\\"Initiate first\\\")\\n\\n return self.R\",\n \"def list_regions():\\n regions_areas = (\\n db.session.query(\\n models.Region.code.label(\\\"region_code\\\"),\\n models.Region.name.label(\\\"region_name\\\"),\\n db.case([(models.District.code.is_(None),\\n db.literal_column(\\\"'admin_area'\\\"))],\\n else_=db.literal_column(\\\"'district'\\\")).label(\\\"area_type\\\"),\\n db.case([(models.District.code.is_(None), models.AdminArea.code)],\\n else_=models.District.code).label(\\\"area_code\\\"),\\n db.case([(models.District.code.is_(None), models.AdminArea.name)],\\n else_=models.District.name).label(\\\"area_name\\\")\\n ).select_from(models.Region)\\n .join(models.Region.areas)\\n .outerjoin(models.AdminArea.districts)\\n .filter(models.Region.code != \\\"GB\\\")\\n .order_by(\\\"region_name\\\", \\\"area_name\\\")\\n .all()\\n )\\n regions = {}\\n areas = {}\\n for row in regions_areas:\\n regions[row.region_code] = row.region_name\\n areas.setdefault(row.region_code, []).append(row)\\n\\n return render_template(\\\"regions.html\\\", regions=regions, areas=areas)\",\n \"def regions(self):\\n\\n class RegionIter(object):\\n def __init__(self, region_based):\\n self._region_based = region_based\\n\\n def __len__(self):\\n return self._region_based._region_len()\\n\\n def __iter__(self):\\n return self()\\n\\n def _fix_chromosome(self, regions):\\n for r in regions:\\n r.fix_chromosome(copy=True)\\n\\n def __call__(self, key=None, *args, **kwargs):\\n fix_chromosome = kwargs.pop('fix_chromosome', False)\\n\\n if key is None:\\n iterator = self._region_based._region_iter(*args, **kwargs)\\n else:\\n if isinstance(key, string_types) or isinstance(key, GenomicRegion):\\n iterator = self._region_based.region_subset(key, *args, **kwargs)\\n else:\\n iterator = self._region_based._get_regions(key, *args, **kwargs)\\n\\n if fix_chromosome:\\n return self._fix_chromosome(iterator)\\n else:\\n return iterator\\n\\n def __getitem__(self, item):\\n if isinstance(item, string_types) or isinstance(item, GenomicRegion):\\n return self._region_based.region_subset(item)\\n return self._region_based._get_regions(item)\\n\\n return RegionIter(self)\",\n \"def ListRegions(self):\\n project = properties.VALUES.core.project.GetOrFail()\\n request = self.messages.CloudfunctionsProjectsLocationsListRequest(\\n name='projects/' + project\\n )\\n return list_pager.YieldFromList(\\n service=self.client.projects_locations,\\n request=request,\\n field='locations',\\n batch_size_attribute='pageSize',\\n )\",\n \"def RegionList(self):\\n command = \\\"\\\"\\\"\\n IPython.notebook.kernel.execute(\\\"RegionList=\\\" + JSON.stringify(JS9.GetShapes(\\\"regions\\\", {{display: '{wid}JS9'}})));\\n \\\"\\\"\\\".format(wid=self.wid)\\n get_ipython().run_cell_magic('javascript', '', command)\",\n \"def get_snapshots(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_snapshots = conn.get_all_snapshots(owner='self')\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_snapshots\",\n \"def scope(self) -> List[Region]:\\n return [self]\",\n \"def get_regions_in_partition(self, prefix=None, delimiter='/'):\\n if prefix is None:\\n prefix = self.s3_path\\n else:\\n prefix = self._strip_slashes(prefix)\\n\\n query_params = {\\n 'Bucket': self.s3_bucket,\\n 'Prefix': prefix + '/',\\n 'Delimiter': delimiter\\n }\\n\\n # We currently should be able to get all regions in a single request\\n # TODO: Fail if we get a next token - there's more to this prefix than meets the eye\\n region_list = []\\n response = self.s3_client.list_objects_v2(**query_params)\\n for c_prefix in response.get('CommonPrefixes', []):\\n region = self._extract_region_from_prefix(c_prefix)\\n if region:\\n region_list.append(region)\\n\\n return region_list\",\n \"def get_all_db_region(self, context):\\n zone_objs = self.dns_manager.get_all_db_region(context)\\n return zone_objs\",\n \"def DescribeAccessRegions(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeAccessRegions\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeAccessRegionsResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def get_instances(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_instances = []\\n reservations = conn.get_all_reservations()\\n for reservation in reservations:\\n for instance in reservation.instances:\\n region_instances.append(instance)\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_instances\",\n \"def get_all_in_region(self, cloud_account_id: str, region_id: str) -> List[Dict]:\\n\\t\\tquery_parameters = {'cloudAccountId': cloud_account_id, 'regionId': region_id}\\n\\t\\treturn self._get(route=AWSSecurityGroupConsts.CLOUD_SECURITY_GROUP.value, params=query_parameters)\",\n \"def get_regions():\\n\\n # Also known as the 'climbing directory'\\n route_guide = urlopen('https://www.mountainproject.com/route-guide',\\n context=ctx)\\n # Opens HTML\\n region_html = route_guide.read()\\n # Parses HTML with BS package\\n region_soup = BeautifulSoup(region_html, 'html.parser')\\n # Finds regions area of the page\\n regions = region_soup.find('div', id='route-guide')\\\\\\n .find_all('div', class_='mb-half')\\n\\n for region in regions:\\n # Link to region area guide\\n url = region.find('a')['href']\\n # English name of region\\n region_name = region.find('a').get_text()\\n # Writes region name and url to Areas DB. This gives the region a\\n # unique id automatically\\n cursor.execute('''\\n INSERT INTO Areas(url, name)\\n VALUES ('%s', '%s')\\n ON CONFLICT DO NOTHING\\n ''' % (url, region_name))\\n # Commits to DB\\n conn.commit()\",\n \"def region(self):\\n return [node.region for node in self]\",\n \"def region(self):\\n return regions.lookup(self.state)\",\n \"def ls(region_name=DEFAULT_REGION):\\n s3conn = s3.connect_to_region(region_name)\\n buckets = s3conn.get_all_buckets()\\n for bucket in buckets:\\n print(bucket.name)\",\n \"def regions(self):\\n regions = set()\\n for report in self._reports:\\n region = report.model.region\\n if region is None or region in regions:\\n continue\\n yield region\",\n \"def get_db_regions(self, context, regions):\\n regions_objs = self.dns_manager.get_db_regions(context, regions)\\n return regions_objs\",\n \"def scope(self) -> List[Region]:\\n return self._scope\",\n \"def _get_available_region_options():\\n available_regions = sorted(_get_available_regions())\\n options = [ConfigurationOption(region, region) for region in available_regions]\\n\\n return options\",\n \"def describe_regions(\\n self,\\n request: dds_20151201_models.DescribeRegionsRequest,\\n ) -> dds_20151201_models.DescribeRegionsResponse:\\n runtime = util_models.RuntimeOptions()\\n return self.describe_regions_with_options(request, runtime)\",\n \"def lookups(self, request, model_admin):\\r\\n list_of_regions = []\\r\\n queryset = Region.objects.filter(parent__isnull=True).order_by(\\\"name\\\")\\r\\n for region in queryset:\\r\\n list_of_regions.append((str(region.id), region.name))\\r\\n return list_of_regions\",\n \"def get_all_regions(self, region_names=None, filters=None):\\r\\n params = {}\\r\\n if region_names:\\r\\n self.build_list_params(params, region_names, 'RegionName')\\r\\n if filters:\\r\\n self.build_filter_params(params, filters)\\r\\n regions = self.get_list('DescribeRegions', params,\\r\\n [('item', RegionInfo)], verb='POST')\\r\\n for region in regions:\\r\\n region.connection_cls = EC2Connection\\r\\n return regions\",\n \"def get_images(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_images = conn.get_all_images(owners=['self'])\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_images\",\n \"def regions_by_tag(self, *tags: str) -> Iterable[str]:\\n node = self.shards_xml(\\\"regionsbytag\\\", tags=\\\",\\\".join(tags))[\\\"regions\\\"]\\n text = node.text if node.text else \\\"\\\"\\n return text.split(\\\",\\\")\",\n \"def get_regions(locale):\\n\\n def json_file(name):\\n return os.path.join(json_dir, 'regions', '%s.json' % name)\\n\\n filepath = json_file(locale)\\n\\n if not os.path.exists(filepath):\\n filepath = json_file('en-US')\\n if not os.path.exists(filepath):\\n raise Exception('Unable to load region data')\\n\\n with codecs.open(filepath, encoding='utf8') as fd:\\n return json.load(fd)\",\n \"def _get_global_table_all_regions(table_name: str) -> List[dict]:\\n description = _describe_table(table_name=table_name)\\n replicas = description['Table'].get('Replicas', [])\\n return replicas\",\n \"def GetWorldRegions():\\n return GetDataFromCsvFile('world_regions.csv')\",\n \"def get_regionlist(chosenmodel):\\n regionlist = list(chosenmodel.regions.keys())\\n [ regionlist.remove(key) for key in regionlist\\n if type(chosenmodel.regions[key]) is dict ]\\n return regionlist\",\n \"def test_api_regions(self):\\n # load api base\\n r = requests.get('{server}/api/0.1/'.format(\\n server=self.get_server_url())).json()\\n # load regions from url specified in api base\\n r = requests.get(r['regions']).json()\\n self.assertIn('count', r)\\n self.assertIn('next', r)\\n self.assertIn('prev', r)\\n self.assertIn('regions', r)\",\n \"def vpc_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"vpc_region\\\")\",\n \"def get_aws_reserved_networks(region=None, all_regions=False):\\n result = []\\n if all_regions:\\n for aws_region in get_aws_regions_list():\\n for vpc in boto3.client('ec2', region_name=aws_region).describe_vpcs()['Vpcs']:\\n result.append(vpc)\\n else:\\n result = boto3.client('ec2', region_name=region).describe_vpcs()['Vpcs']\\n\\n vpc_used_cidr_list = []\\n for vpc in result:\\n vpc_used_cidr_list.append(PyVPCBlock(network=ipaddress.ip_network(vpc['CidrBlock']),\\n resource_id=vpc['VpcId'],\\n name=get_aws_resource_name(vpc),\\n resource_type='vpc'))\\n return vpc_used_cidr_list\",\n \"def test_aws_service_api_availability_zones_get(self):\\n pass\",\n \"def getregion(self, *args, **kwargs):\\n return _image.image_getregion(self, *args, **kwargs)\",\n \"def source_region_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def list_rds(region, filter_by_kwargs):\\n conn = boto.rds.connect_to_region(region)\\n instances = conn.get_all_dbinstances()\\n return lookup(instances, filter_by=filter_by_kwargs)\",\n \"def DescribeAccessRegionsByDestRegion(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeAccessRegionsByDestRegion\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeAccessRegionsByDestRegionResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def read_regions(namefile):\\n db = shelve.open(namefile)\\n key_firms = db['nif']\\n regions = db['regions']\\n methodvalues = db['methodvalues']\\n db.close()\\n return key_firms, regions, methodvalues\",\n \"def getImages(region):\\n creds = credentials()\\n try:\\n conn = ec2.connect_to_region(region, **creds)\\n images = conn.get_all_images(owners=['self'])\\n except boto.exception.EC2ResponseError:\\n return []\\n return images\",\n \"async def describe_regions_async(\\n self,\\n request: dds_20151201_models.DescribeRegionsRequest,\\n ) -> dds_20151201_models.DescribeRegionsResponse:\\n runtime = util_models.RuntimeOptions()\\n return await self.describe_regions_with_options_async(request, runtime)\",\n \"def operating_regions(self) -> pulumi.Output[Optional[Sequence['outputs.IpamOperatingRegion']]]:\\n return pulumi.get(self, \\\"operating_regions\\\")\",\n \"def getRegions(self, clearCache=False):\\n if clearCache:\\n self._regionCache = None\\n if self._regionCache is not None:\\n return self._regionCache\\n\\n self.lock.acquire()\\n\\n regions = []\\n self._regionsByName = {}\\n\\n # Iterate over all descriptors (even numbered regions)\\n for index in range(0, MAX_REGIONS, 2):\\n def storeDescriptor(descriptor, index=index):\\n size = struct.unpack(\\\"<I\\\", descriptor[:4])[0]\\n name = descriptor[4:].split('\\\\x00')[0]\\n if name:\\n region = Region(index + 1, size, name)\\n regions.append(region)\\n self._regionsByName[name] = region\\n\\n # Send the command the low-level way, since we already have the lock.\\n self.recv.queue.put((MAX_DESCRIPTOR_LEN, storeDescriptor))\\n self.send.queue.put(opSetRegion(index) + opReadLongs(MAX_DESCRIPTOR_LEN))\\n\\n self.recv.queue.join()\\n self._regionCache = regions\\n\\n self.lock.release()\\n return regions\",\n \"def get_regionlist_of_componentgroup(chosenmodel, componentgroup_name):\\n return list(chosenmodel.regions[componentgroup_name].keys())\",\n \"def DescribeDestRegions(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeDestRegions\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeDestRegionsResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def region(self, args):\\n m = MessageClass()\\n print('123124')\\n data = {'list': []}\\n data['list'].append({\\\"Region_Name\\\": \\\"us-east-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-east-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-west-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-west-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-northeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-northeast-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-south-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-southeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-southeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ca-central-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-central-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-3\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"sa-east-1\\\"})\\n m.data = data\\n return m.to_json()\",\n \"def get_region(self):\\n return self.creds.get('region_name')\",\n \"def endpoint_group_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"endpoint_group_region\\\")\",\n \"def load_all_countries(self):\\n core = self.core\\n regionNodes = core.load_children(self.META[\\\"Countries\\\"])\\n countryNodes = []\\n if regionNodes:\\n for regionNode in regionNodes:\\n if core.get_base_type(regionNode) == self.META[\\\"Region\\\"]:\\n countryNodes += core.load_children(regionNode)\\n return countryNodes\\n else:\\n print(\\\"There are no regions in the database\\\")\",\n \"def listPredefinedRegions(self):\\n\\n res = self._Client__proxy.listPredefinedRegions(\\n self._Client__session)\\n\\n self.checkResult(res)\\n return res[\\\"predefinedRegions\\\"]\",\n \"def region(self):\\n return self.config.region\",\n \"def list_internet_gateways(\\n profile_name: str = 'terraform',\\n region_name: str = 'us-east-1'\\n) -> [str]:\\n session = boto3.Session(profile_name=profile_name)\\n client = session.client(service_name='ec2', region_name=region_name)\\n elements = client.describe_internet_gateways()\\n _lines = []\\n for element in elements['InternetGateways']:\\n x = InternetGateway(element['InternetGatewayId'])\\n x.vpc_id = element['Attachments'][0]['VpcId']\\n x.tags = element['Tags']\\n _lines.append(x)\\n return _lines\",\n \"def get_zones(region=None, key=None, keyid=None, profile=None):\\n conn = _get_conn(region=region, key=key, keyid=keyid, profile=profile)\\n\\n return [z.name for z in conn.get_all_zones()]\",\n \"def regions_dict(self):\\n regions_dict = dict()\\n for i, r in enumerate(self.regions):\\n regions_dict[getattr(r, 'ix', i)] = r\\n return regions_dict\",\n \"def region(self):\\n if self._region is None:\\n cache_key = self.expand_name(\\\"region\\\")\\n cached = unitdata.kv().get(cache_key)\\n if cached:\\n self._region = cached\\n else:\\n req = self._imdv2_request(self._az_url)\\n with urlopen(req) as fd:\\n az = fd.read(READ_BLOCK_SIZE).decode(\\\"utf8\\\")\\n self._region = az.rstrip(string.ascii_lowercase)\\n unitdata.kv().set(cache_key, self._region)\\n return self._region\",\n \"def azs_lookup(session, lambda_compatible_only=False):\\n if session is None:\\n return []\\n\\n client = session.client('ec2')\\n response = client.describe_availability_zones()\\n # SH Removing Hack as subnet A is already in Production and causes issues trying to delete\\n # We will strip out subnets A and C when creating the lambdas.\\n #rtn = [(z[\\\"ZoneName\\\"], z[\\\"ZoneName\\\"][-1]) for z in response[\\\"AvailabilityZones\\\"] if z['ZoneName'] != 'us-east-1a']\\n rtn = [(z[\\\"ZoneName\\\"], z[\\\"ZoneName\\\"][-1]) for z in response[\\\"AvailabilityZones\\\"]]\\n\\n if lambda_compatible_only:\\n current_account = get_account_id_from_session(session)\\n for az in rtn.copy():\\n if az[1] == 'c' and current_account == hosts.PROD_ACCOUNT:\\n rtn.remove(az)\\n if az[1] == 'a' and current_account == hosts.DEV_ACCOUNT:\\n rtn.remove(az)\\n return rtn\",\n \"def whitelist_regions(self):\\n return getattr(self, '_do_whitelist_regions', False)\",\n \"def listInstancesRegionZone(region,zone):\\n\\tprint \\\"-\\\"*80\\n\\tprint \\\"# Region :\\\",region,\\\" Zone\\\", zone\\t\\n\\tprint \\\"-\\\"*80\\n\\tinstances = getInstancesRegionZone(region,zone)\\n\\tif instances:\\n\\t\\tfor instance in instances:\\n\\t\\t\\tprint \\\"[\\\",instance.ami_launch_index,\\\"]\\\",instance.ip_address,\\\" (\\\",instance.private_ip_address,\\\") \\\",instance.instance_type,\\\" key=\\\",instance.key_name\",\n \"def get_region_dict(self):\\n if self.initiated is False:\\n raise RuntimeError(\\\"Initiate first\\\")\\n\\n return self._region_dict\",\n \"def get_transcript_regions(self, transcriptId):\\n\\n regions = self.get_regions('exon')\\n transcriptRegions = []\\n for region in regions:\\n if region.transcriptId == transcriptId:\\n transcriptRegions.append(region)\\n return transcriptRegions\",\n \"def get_region_services(self,format=None):\\n clients = HWIOS.pb_server.get_clients()\\n region_services = []\\n for client in clients:\\n region_services.extend(client.region_services)\\n #for django forms\\n if format == 'tuple':\\n tuple_list = []\\n for region_service in region_services:\\n tuple_list.append((region_service['uuid'],region_service['name']))\\n return tuple_list\\n return region_services\",\n \"def region(self):\\n return self._get(\\\"region\\\")\",\n \"def list_buckets():\\n for bucket in s3.buckets.all():\\n print(bucket)\",\n \"def operating_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IpamOperatingRegionArgs']]]]:\\n return pulumi.get(self, \\\"operating_regions\\\")\",\n \"def get(self, request):\\n conn = get_sdk_connection(request)\\n availability_zone_list = _sdk_object_to_list(\\n conn.load_balancer.availability_zones()\\n )\\n\\n return {'items': availability_zone_list}\",\n \"def children(self) -> List[Region]:\\n return []\",\n \"def regions_json(self, filename):\\n with open(filename) as f:\\n return json.load(f)\",\n \"def rendered_regions(self, obj):\\n return obj.render_json(self.context.get('request'))\",\n \"def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def load_aws_region_name() -> str:\\n session = boto3.session.Session()\\n region_name = (\\n click.get_current_context().params.get(\\\"region\\\") or session.region_name\\n )\\n return region_name\",\n \"def avail_locations(session=None, call=None):\\n # TODO: need to figure out a good meaning of locations in Xen\\n if call == \\\"action\\\":\\n raise SaltCloudException(\\n \\\"The avail_locations function must be called with -f or --function.\\\"\\n )\\n return pool_list()\",\n \"def get_volumes(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_volumes = conn.get_all_volumes()\\n except boto.exception.EC2ResponseError:\\n return [] # This better not fail silently or I'll cut a person.\\n return region_volumes\",\n \"def get_all_zones():\\n cf = CloudFlare.CloudFlare(raw=True)\\n page_number = 0\\n total_pages = 1\\n all_zones = []\\n while page_number < total_pages:\\n page_number += 1\\n raw_results = cf.zones.get(params={'per_page':100, 'page':page_number})\\n zones = raw_results['result']\\n all_zones += zones\\n total_pages = raw_results['result_info']['total_pages']\\n return all_zones\",\n \"def get_bucketlist():\\n pass\",\n \"def ffgs_regions():\\n return [\\n ('Hispaniola', 'hispaniola'),\\n ('Central America', 'centralamerica')\\n ]\",\n \"def ReadRegions(self, fname=\\\"temp\\\"):\\n self.fname = fname\\n command = \\\"\\\"\\\"IPython.notebook.kernel.execute('file = open(\\\"temp\\\", \\\"w\\\"); [file.write(x[\\\"wcsstr\\\"]) for x in '+ JSON.stringify(JS9.GetShapes(\\\"regions\\\", {{display: '{wid}JS9'}})) +']; file.close()');\\\"\\\"\\\".format(wid=self.wid)\\n get_ipython().run_cell_magic('javascript', '', command)\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8312565","0.779635","0.77942985","0.77942985","0.7289586","0.728351","0.7272279","0.71950173","0.7140144","0.70876795","0.69920516","0.6973136","0.692615","0.6878461","0.6822473","0.6779286","0.6745307","0.67410904","0.6683353","0.664014","0.6598619","0.65845656","0.65719104","0.65711975","0.64892554","0.64801663","0.6439613","0.6420435","0.6401047","0.64007866","0.639505","0.6384996","0.6370646","0.63652235","0.6356448","0.62927395","0.627321","0.61878794","0.61749566","0.6168414","0.6155335","0.608255","0.6062303","0.6050333","0.6031984","0.60035217","0.5989563","0.5983013","0.591161","0.5883922","0.5882775","0.5842723","0.58391607","0.5813007","0.5810873","0.5798928","0.5797396","0.57929695","0.57811475","0.57782423","0.5777307","0.5755902","0.57420397","0.5738982","0.5728668","0.5728234","0.5718206","0.5695173","0.5688639","0.5686243","0.56831473","0.5667013","0.56665355","0.5612399","0.5612315","0.5601767","0.5580547","0.5580073","0.55715996","0.5556764","0.5535209","0.5527436","0.5499612","0.5489355","0.54797554","0.5470251","0.5467954","0.5465599","0.54629457","0.5452229","0.5449347","0.5449347","0.5448797","0.5441852","0.54281044","0.54222935","0.54175586","0.5406034","0.5404364","0.54041964"],"string":"[\n \"0.8312565\",\n \"0.779635\",\n \"0.77942985\",\n \"0.77942985\",\n \"0.7289586\",\n \"0.728351\",\n \"0.7272279\",\n \"0.71950173\",\n \"0.7140144\",\n \"0.70876795\",\n \"0.69920516\",\n \"0.6973136\",\n \"0.692615\",\n \"0.6878461\",\n \"0.6822473\",\n \"0.6779286\",\n \"0.6745307\",\n \"0.67410904\",\n \"0.6683353\",\n \"0.664014\",\n \"0.6598619\",\n \"0.65845656\",\n \"0.65719104\",\n \"0.65711975\",\n \"0.64892554\",\n \"0.64801663\",\n \"0.6439613\",\n \"0.6420435\",\n \"0.6401047\",\n \"0.64007866\",\n \"0.639505\",\n \"0.6384996\",\n \"0.6370646\",\n \"0.63652235\",\n \"0.6356448\",\n \"0.62927395\",\n \"0.627321\",\n \"0.61878794\",\n \"0.61749566\",\n \"0.6168414\",\n \"0.6155335\",\n \"0.608255\",\n \"0.6062303\",\n \"0.6050333\",\n \"0.6031984\",\n \"0.60035217\",\n \"0.5989563\",\n \"0.5983013\",\n \"0.591161\",\n \"0.5883922\",\n \"0.5882775\",\n \"0.5842723\",\n \"0.58391607\",\n \"0.5813007\",\n \"0.5810873\",\n \"0.5798928\",\n \"0.5797396\",\n \"0.57929695\",\n \"0.57811475\",\n \"0.57782423\",\n \"0.5777307\",\n \"0.5755902\",\n \"0.57420397\",\n \"0.5738982\",\n \"0.5728668\",\n \"0.5728234\",\n \"0.5718206\",\n \"0.5695173\",\n \"0.5688639\",\n \"0.5686243\",\n \"0.56831473\",\n \"0.5667013\",\n \"0.56665355\",\n \"0.5612399\",\n \"0.5612315\",\n \"0.5601767\",\n \"0.5580547\",\n \"0.5580073\",\n \"0.55715996\",\n \"0.5556764\",\n \"0.5535209\",\n \"0.5527436\",\n \"0.5499612\",\n \"0.5489355\",\n \"0.54797554\",\n \"0.5470251\",\n \"0.5467954\",\n \"0.5465599\",\n \"0.54629457\",\n \"0.5452229\",\n \"0.5449347\",\n \"0.5449347\",\n \"0.5448797\",\n \"0.5441852\",\n \"0.54281044\",\n \"0.54222935\",\n \"0.54175586\",\n \"0.5406034\",\n \"0.5404364\",\n \"0.54041964\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.65673536"},"document_rank":{"kind":"string","value":"24"}}},{"rowIdx":1795,"cells":{"query":{"kind":"string","value":"Gets all AWS regions that Krux can access"},"document":{"kind":"string","value":"def get_valid_regions(self):\n conn = self._boto.ec2.connect_to_region(self.cli_region)\n\n regions = []\n for region in conn.get_all_regions():\n if getattr(RegionCode.Region, region.name, None) is not None:\n regions.append(RegionCode.Region[region.name])\n else:\n regions.append(region.name)\n\n return regions"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _get_available_regions():\n session = boto3.session.Session()\n\n return session.get_available_regions(service_name='s3')","def get_regions(ec2_client=None):\n if not ec2_client:\n ec2_client = boto3.client('ec2')\n resp = ec2_client.describe_regions()\n return [region['RegionName'] for region in resp.get('Regions', [])]","def get_available_regions(service_name):\n session = boto3.session.Session()\n return session.get_available_regions(service_name)","def get_available_regions(service_name):\n session = boto3.session.Session()\n return session.get_available_regions(service_name)","def get_valid_regions(self):\n client = self._boto.client('ec2')\n\n regions = []\n for region in client.describe_regions().get('Regions', []):\n if getattr(RegionCode.Region, region.get('RegionName'), None) is not None:\n regions.append(RegionCode.Region[region.get('RegionName')])\n else:\n regions.append(region.get('RegionName'))\n\n return regions","def regions(self) -> Sequence[str]:\n return pulumi.get(self, \"regions\")","def test_aws_service_api_regions_get(self):\n pass","def get_regions(self):\n return self._regions","def regions(self) -> pulumi.Output[Sequence[str]]:\n return pulumi.get(self, \"regions\")","def regions(self, member_state):\n rates = self._get_rates(member_state)\n return list(rates.regions.keys())","def regions(self):\n return self._regions","def api_get_regions():\n db_session = DBSession()\n\n rows = []\n criteria = '%'\n if request.args and request.args.get('q'):\n criteria += request.args.get('q') + '%'\n else:\n criteria += '%'\n\n regions = db_session.query(Region).filter(Region.name.like(criteria)).order_by(Region.name.asc()).all()\n if len(regions) > 0:\n if request.args.get('show_all'):\n rows.append({'id': 0, 'text': 'ALL'})\n for region in regions:\n rows.append({'id': region.id, 'text': region.name})\n\n return jsonify(**{'data': rows})","def get_regions(**kwargs):\n\n instance = Ceic._get_instance()\n\n get_dictionaries_method = instance._dictionary_facade.get_regions\n result = instance._make_request(get_dictionaries_method, **kwargs)\n\n return result","def filter_regions(self):\n return self.filter_nodes('/DistrictBuilder/Regions/Region')","def list_regions(self, **kwargs):\n resource_path = \"/regions\"\n method = \"GET\"\n\n expected_kwargs = [\"retry_strategy\"]\n extra_kwargs = [_key for _key in six.iterkeys(kwargs) if _key not in expected_kwargs]\n if extra_kwargs:\n raise ValueError(\n \"list_regions got unknown kwargs: {!r}\".format(extra_kwargs))\n\n header_params = {\n \"accept\": \"application/json\",\n \"content-type\": \"application/json\"\n }\n\n retry_strategy = self.retry_strategy\n if kwargs.get('retry_strategy'):\n retry_strategy = kwargs.get('retry_strategy')\n\n if retry_strategy:\n return retry_strategy.make_retrying_call(\n self.base_client.call_api,\n resource_path=resource_path,\n method=method,\n header_params=header_params,\n response_type=\"list[Region]\")\n else:\n return self.base_client.call_api(\n resource_path=resource_path,\n method=method,\n header_params=header_params,\n response_type=\"list[Region]\")","def getStudyRegions():\n comp_name = os.environ['COMPUTERNAME']\n conn = py.connect('Driver=ODBC Driver 11 for SQL Server;SERVER=' +\n comp_name + '\\HAZUSPLUSSRVR; UID=SA;PWD=Gohazusplus_02')\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\n cursor = conn.cursor()\n cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \n for state in cursor:\n exclusionRows.append(state[0])\n cursor = conn.cursor()\n cursor.execute('SELECT * FROM sys.databases')\n studyRegions = []\n for row in cursor:\n if row[0] not in exclusionRows:\n studyRegions.append(row[0])\n studyRegions.sort(key=lambda x: x.lower())\n return studyRegions","def get_regions(self,online=False):\n clients = HWIOS.pb_server.get_clients()\n regions = []\n for client in clients:\n for service in client.region_services:\n if online: \n if service['status'] == 'ON':\n for region in service['regions']:\n regions.append(region)\n else:\n for region in service['regions']:\n region['status'] = service['status']\n regions.append(region)\n return regions","def regions(self) -> Optional[Sequence['outputs.GetTrafficPolicyDocumentRuleRegionResult']]:\n return pulumi.get(self, \"regions\")","def regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"regions\")","def get_all_reservations(config):\n reservations = []\n region_list = regions(aws_access_key_id=config.keys.api,\n aws_secret_access_key=config.keys.secret)\n for region in region_list:\n _logger.info(\"Searching %s\", region)\n cnx = region.connect(aws_access_key_id=config.keys.api,\n aws_secret_access_key=config.keys.secret)\n for reservation in cnx.get_all_instances():\n _logger.info(\"Found %s %s\", reservation,\n [str(i.id) for i in reservation.instances])\n reservations.append(reservation)\n return reservations","def region_clients(self, **kwargs):\n return stats.region_clients(self._host, self._session, **kwargs)","def getStudyRegions(self):\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\n self.cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \n for state in self.cursor:\n exclusionRows.append(state[0])\n query = 'SELECT * FROM sys.databases'\n df = pd.read_sql(query, self.conn)\n studyRegions = df[~df['name'].isin(exclusionRows)]['name']\n studyRegions = studyRegions.reset_index()\n studyRegions = studyRegions.drop('index', axis=1)\n self.studyRegions = studyRegions\n return studyRegions","def get_regions(self):\n if self.initiated is False:\n raise RuntimeError(\"Initiate first\")\n\n return self.R","def get_valid_regions(self):\n pass","def list_regions():\n regions_areas = (\n db.session.query(\n models.Region.code.label(\"region_code\"),\n models.Region.name.label(\"region_name\"),\n db.case([(models.District.code.is_(None),\n db.literal_column(\"'admin_area'\"))],\n else_=db.literal_column(\"'district'\")).label(\"area_type\"),\n db.case([(models.District.code.is_(None), models.AdminArea.code)],\n else_=models.District.code).label(\"area_code\"),\n db.case([(models.District.code.is_(None), models.AdminArea.name)],\n else_=models.District.name).label(\"area_name\")\n ).select_from(models.Region)\n .join(models.Region.areas)\n .outerjoin(models.AdminArea.districts)\n .filter(models.Region.code != \"GB\")\n .order_by(\"region_name\", \"area_name\")\n .all()\n )\n regions = {}\n areas = {}\n for row in regions_areas:\n regions[row.region_code] = row.region_name\n areas.setdefault(row.region_code, []).append(row)\n\n return render_template(\"regions.html\", regions=regions, areas=areas)","def regions(self):\n\n class RegionIter(object):\n def __init__(self, region_based):\n self._region_based = region_based\n\n def __len__(self):\n return self._region_based._region_len()\n\n def __iter__(self):\n return self()\n\n def _fix_chromosome(self, regions):\n for r in regions:\n r.fix_chromosome(copy=True)\n\n def __call__(self, key=None, *args, **kwargs):\n fix_chromosome = kwargs.pop('fix_chromosome', False)\n\n if key is None:\n iterator = self._region_based._region_iter(*args, **kwargs)\n else:\n if isinstance(key, string_types) or isinstance(key, GenomicRegion):\n iterator = self._region_based.region_subset(key, *args, **kwargs)\n else:\n iterator = self._region_based._get_regions(key, *args, **kwargs)\n\n if fix_chromosome:\n return self._fix_chromosome(iterator)\n else:\n return iterator\n\n def __getitem__(self, item):\n if isinstance(item, string_types) or isinstance(item, GenomicRegion):\n return self._region_based.region_subset(item)\n return self._region_based._get_regions(item)\n\n return RegionIter(self)","def ListRegions(self):\n project = properties.VALUES.core.project.GetOrFail()\n request = self.messages.CloudfunctionsProjectsLocationsListRequest(\n name='projects/' + project\n )\n return list_pager.YieldFromList(\n service=self.client.projects_locations,\n request=request,\n field='locations',\n batch_size_attribute='pageSize',\n )","def RegionList(self):\n command = \"\"\"\n IPython.notebook.kernel.execute(\"RegionList=\" + JSON.stringify(JS9.GetShapes(\"regions\", {{display: '{wid}JS9'}})));\n \"\"\".format(wid=self.wid)\n get_ipython().run_cell_magic('javascript', '', command)","def get_snapshots(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_snapshots = conn.get_all_snapshots(owner='self')\n except boto.exception.EC2ResponseError:\n return []\n return region_snapshots","def scope(self) -> List[Region]:\n return [self]","def get_regions_in_partition(self, prefix=None, delimiter='/'):\n if prefix is None:\n prefix = self.s3_path\n else:\n prefix = self._strip_slashes(prefix)\n\n query_params = {\n 'Bucket': self.s3_bucket,\n 'Prefix': prefix + '/',\n 'Delimiter': delimiter\n }\n\n # We currently should be able to get all regions in a single request\n # TODO: Fail if we get a next token - there's more to this prefix than meets the eye\n region_list = []\n response = self.s3_client.list_objects_v2(**query_params)\n for c_prefix in response.get('CommonPrefixes', []):\n region = self._extract_region_from_prefix(c_prefix)\n if region:\n region_list.append(region)\n\n return region_list","def get_all_db_region(self, context):\n zone_objs = self.dns_manager.get_all_db_region(context)\n return zone_objs","def DescribeAccessRegions(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeAccessRegions\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeAccessRegionsResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def get_instances(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_instances = []\n reservations = conn.get_all_reservations()\n for reservation in reservations:\n for instance in reservation.instances:\n region_instances.append(instance)\n except boto.exception.EC2ResponseError:\n return []\n return region_instances","def get_all_in_region(self, cloud_account_id: str, region_id: str) -> List[Dict]:\n\t\tquery_parameters = {'cloudAccountId': cloud_account_id, 'regionId': region_id}\n\t\treturn self._get(route=AWSSecurityGroupConsts.CLOUD_SECURITY_GROUP.value, params=query_parameters)","def get_regions():\n\n # Also known as the 'climbing directory'\n route_guide = urlopen('https://www.mountainproject.com/route-guide',\n context=ctx)\n # Opens HTML\n region_html = route_guide.read()\n # Parses HTML with BS package\n region_soup = BeautifulSoup(region_html, 'html.parser')\n # Finds regions area of the page\n regions = region_soup.find('div', id='route-guide')\\\n .find_all('div', class_='mb-half')\n\n for region in regions:\n # Link to region area guide\n url = region.find('a')['href']\n # English name of region\n region_name = region.find('a').get_text()\n # Writes region name and url to Areas DB. This gives the region a\n # unique id automatically\n cursor.execute('''\n INSERT INTO Areas(url, name)\n VALUES ('%s', '%s')\n ON CONFLICT DO NOTHING\n ''' % (url, region_name))\n # Commits to DB\n conn.commit()","def region(self):\n return [node.region for node in self]","def region(self):\n return regions.lookup(self.state)","def ls(region_name=DEFAULT_REGION):\n s3conn = s3.connect_to_region(region_name)\n buckets = s3conn.get_all_buckets()\n for bucket in buckets:\n print(bucket.name)","def regions(self):\n regions = set()\n for report in self._reports:\n region = report.model.region\n if region is None or region in regions:\n continue\n yield region","def get_db_regions(self, context, regions):\n regions_objs = self.dns_manager.get_db_regions(context, regions)\n return regions_objs","def scope(self) -> List[Region]:\n return self._scope","def _get_available_region_options():\n available_regions = sorted(_get_available_regions())\n options = [ConfigurationOption(region, region) for region in available_regions]\n\n return options","def describe_regions(\n self,\n request: dds_20151201_models.DescribeRegionsRequest,\n ) -> dds_20151201_models.DescribeRegionsResponse:\n runtime = util_models.RuntimeOptions()\n return self.describe_regions_with_options(request, runtime)","def lookups(self, request, model_admin):\r\n list_of_regions = []\r\n queryset = Region.objects.filter(parent__isnull=True).order_by(\"name\")\r\n for region in queryset:\r\n list_of_regions.append((str(region.id), region.name))\r\n return list_of_regions","def get_all_regions(self, region_names=None, filters=None):\r\n params = {}\r\n if region_names:\r\n self.build_list_params(params, region_names, 'RegionName')\r\n if filters:\r\n self.build_filter_params(params, filters)\r\n regions = self.get_list('DescribeRegions', params,\r\n [('item', RegionInfo)], verb='POST')\r\n for region in regions:\r\n region.connection_cls = EC2Connection\r\n return regions","def get_images(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_images = conn.get_all_images(owners=['self'])\n except boto.exception.EC2ResponseError:\n return []\n return region_images","def regions_by_tag(self, *tags: str) -> Iterable[str]:\n node = self.shards_xml(\"regionsbytag\", tags=\",\".join(tags))[\"regions\"]\n text = node.text if node.text else \"\"\n return text.split(\",\")","def get_regions(locale):\n\n def json_file(name):\n return os.path.join(json_dir, 'regions', '%s.json' % name)\n\n filepath = json_file(locale)\n\n if not os.path.exists(filepath):\n filepath = json_file('en-US')\n if not os.path.exists(filepath):\n raise Exception('Unable to load region data')\n\n with codecs.open(filepath, encoding='utf8') as fd:\n return json.load(fd)","def _get_global_table_all_regions(table_name: str) -> List[dict]:\n description = _describe_table(table_name=table_name)\n replicas = description['Table'].get('Replicas', [])\n return replicas","def GetWorldRegions():\n return GetDataFromCsvFile('world_regions.csv')","def get_regionlist(chosenmodel):\n regionlist = list(chosenmodel.regions.keys())\n [ regionlist.remove(key) for key in regionlist\n if type(chosenmodel.regions[key]) is dict ]\n return regionlist","def test_api_regions(self):\n # load api base\n r = requests.get('{server}/api/0.1/'.format(\n server=self.get_server_url())).json()\n # load regions from url specified in api base\n r = requests.get(r['regions']).json()\n self.assertIn('count', r)\n self.assertIn('next', r)\n self.assertIn('prev', r)\n self.assertIn('regions', r)","def vpc_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"vpc_region\")","def get_aws_reserved_networks(region=None, all_regions=False):\n result = []\n if all_regions:\n for aws_region in get_aws_regions_list():\n for vpc in boto3.client('ec2', region_name=aws_region).describe_vpcs()['Vpcs']:\n result.append(vpc)\n else:\n result = boto3.client('ec2', region_name=region).describe_vpcs()['Vpcs']\n\n vpc_used_cidr_list = []\n for vpc in result:\n vpc_used_cidr_list.append(PyVPCBlock(network=ipaddress.ip_network(vpc['CidrBlock']),\n resource_id=vpc['VpcId'],\n name=get_aws_resource_name(vpc),\n resource_type='vpc'))\n return vpc_used_cidr_list","def test_aws_service_api_availability_zones_get(self):\n pass","def getregion(self, *args, **kwargs):\n return _image.image_getregion(self, *args, **kwargs)","def source_region_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:\n return pulumi.get(self, \"source_region_ids\")","def list_rds(region, filter_by_kwargs):\n conn = boto.rds.connect_to_region(region)\n instances = conn.get_all_dbinstances()\n return lookup(instances, filter_by=filter_by_kwargs)","def DescribeAccessRegionsByDestRegion(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeAccessRegionsByDestRegion\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeAccessRegionsByDestRegionResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def read_regions(namefile):\n db = shelve.open(namefile)\n key_firms = db['nif']\n regions = db['regions']\n methodvalues = db['methodvalues']\n db.close()\n return key_firms, regions, methodvalues","def getImages(region):\n creds = credentials()\n try:\n conn = ec2.connect_to_region(region, **creds)\n images = conn.get_all_images(owners=['self'])\n except boto.exception.EC2ResponseError:\n return []\n return images","async def describe_regions_async(\n self,\n request: dds_20151201_models.DescribeRegionsRequest,\n ) -> dds_20151201_models.DescribeRegionsResponse:\n runtime = util_models.RuntimeOptions()\n return await self.describe_regions_with_options_async(request, runtime)","def operating_regions(self) -> pulumi.Output[Optional[Sequence['outputs.IpamOperatingRegion']]]:\n return pulumi.get(self, \"operating_regions\")","def getRegions(self, clearCache=False):\n if clearCache:\n self._regionCache = None\n if self._regionCache is not None:\n return self._regionCache\n\n self.lock.acquire()\n\n regions = []\n self._regionsByName = {}\n\n # Iterate over all descriptors (even numbered regions)\n for index in range(0, MAX_REGIONS, 2):\n def storeDescriptor(descriptor, index=index):\n size = struct.unpack(\"<I\", descriptor[:4])[0]\n name = descriptor[4:].split('\\x00')[0]\n if name:\n region = Region(index + 1, size, name)\n regions.append(region)\n self._regionsByName[name] = region\n\n # Send the command the low-level way, since we already have the lock.\n self.recv.queue.put((MAX_DESCRIPTOR_LEN, storeDescriptor))\n self.send.queue.put(opSetRegion(index) + opReadLongs(MAX_DESCRIPTOR_LEN))\n\n self.recv.queue.join()\n self._regionCache = regions\n\n self.lock.release()\n return regions","def get_regionlist_of_componentgroup(chosenmodel, componentgroup_name):\n return list(chosenmodel.regions[componentgroup_name].keys())","def DescribeDestRegions(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeDestRegions\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeDestRegionsResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def region(self, args):\n m = MessageClass()\n print('123124')\n data = {'list': []}\n data['list'].append({\"Region_Name\": \"us-east-1\"})\n data['list'].append({\"Region_Name\": \"us-east-2\"})\n data['list'].append({\"Region_Name\": \"us-west-1\"})\n data['list'].append({\"Region_Name\": \"us-west-2\"})\n data['list'].append({\"Region_Name\": \"ap-northeast-1\"})\n data['list'].append({\"Region_Name\": \"ap-northeast-2\"})\n data['list'].append({\"Region_Name\": \"ap-south-1\"})\n data['list'].append({\"Region_Name\": \"ap-southeast-1\"})\n data['list'].append({\"Region_Name\": \"ap-southeast-1\"})\n data['list'].append({\"Region_Name\": \"ca-central-1\"})\n data['list'].append({\"Region_Name\": \"eu-central-1\"})\n data['list'].append({\"Region_Name\": \"eu-west-1\"})\n data['list'].append({\"Region_Name\": \"eu-west-2\"})\n data['list'].append({\"Region_Name\": \"eu-west-3\"})\n data['list'].append({\"Region_Name\": \"sa-east-1\"})\n m.data = data\n return m.to_json()","def get_region(self):\n return self.creds.get('region_name')","def endpoint_group_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"endpoint_group_region\")","def load_all_countries(self):\n core = self.core\n regionNodes = core.load_children(self.META[\"Countries\"])\n countryNodes = []\n if regionNodes:\n for regionNode in regionNodes:\n if core.get_base_type(regionNode) == self.META[\"Region\"]:\n countryNodes += core.load_children(regionNode)\n return countryNodes\n else:\n print(\"There are no regions in the database\")","def listPredefinedRegions(self):\n\n res = self._Client__proxy.listPredefinedRegions(\n self._Client__session)\n\n self.checkResult(res)\n return res[\"predefinedRegions\"]","def region(self):\n return self.config.region","def list_internet_gateways(\n profile_name: str = 'terraform',\n region_name: str = 'us-east-1'\n) -> [str]:\n session = boto3.Session(profile_name=profile_name)\n client = session.client(service_name='ec2', region_name=region_name)\n elements = client.describe_internet_gateways()\n _lines = []\n for element in elements['InternetGateways']:\n x = InternetGateway(element['InternetGatewayId'])\n x.vpc_id = element['Attachments'][0]['VpcId']\n x.tags = element['Tags']\n _lines.append(x)\n return _lines","def get_zones(region=None, key=None, keyid=None, profile=None):\n conn = _get_conn(region=region, key=key, keyid=keyid, profile=profile)\n\n return [z.name for z in conn.get_all_zones()]","def regions_dict(self):\n regions_dict = dict()\n for i, r in enumerate(self.regions):\n regions_dict[getattr(r, 'ix', i)] = r\n return regions_dict","def region(self):\n if self._region is None:\n cache_key = self.expand_name(\"region\")\n cached = unitdata.kv().get(cache_key)\n if cached:\n self._region = cached\n else:\n req = self._imdv2_request(self._az_url)\n with urlopen(req) as fd:\n az = fd.read(READ_BLOCK_SIZE).decode(\"utf8\")\n self._region = az.rstrip(string.ascii_lowercase)\n unitdata.kv().set(cache_key, self._region)\n return self._region","def azs_lookup(session, lambda_compatible_only=False):\n if session is None:\n return []\n\n client = session.client('ec2')\n response = client.describe_availability_zones()\n # SH Removing Hack as subnet A is already in Production and causes issues trying to delete\n # We will strip out subnets A and C when creating the lambdas.\n #rtn = [(z[\"ZoneName\"], z[\"ZoneName\"][-1]) for z in response[\"AvailabilityZones\"] if z['ZoneName'] != 'us-east-1a']\n rtn = [(z[\"ZoneName\"], z[\"ZoneName\"][-1]) for z in response[\"AvailabilityZones\"]]\n\n if lambda_compatible_only:\n current_account = get_account_id_from_session(session)\n for az in rtn.copy():\n if az[1] == 'c' and current_account == hosts.PROD_ACCOUNT:\n rtn.remove(az)\n if az[1] == 'a' and current_account == hosts.DEV_ACCOUNT:\n rtn.remove(az)\n return rtn","def whitelist_regions(self):\n return getattr(self, '_do_whitelist_regions', False)","def listInstancesRegionZone(region,zone):\n\tprint \"-\"*80\n\tprint \"# Region :\",region,\" Zone\", zone\t\n\tprint \"-\"*80\n\tinstances = getInstancesRegionZone(region,zone)\n\tif instances:\n\t\tfor instance in instances:\n\t\t\tprint \"[\",instance.ami_launch_index,\"]\",instance.ip_address,\" (\",instance.private_ip_address,\") \",instance.instance_type,\" key=\",instance.key_name","def get_region_dict(self):\n if self.initiated is False:\n raise RuntimeError(\"Initiate first\")\n\n return self._region_dict","def get_transcript_regions(self, transcriptId):\n\n regions = self.get_regions('exon')\n transcriptRegions = []\n for region in regions:\n if region.transcriptId == transcriptId:\n transcriptRegions.append(region)\n return transcriptRegions","def get_region_services(self,format=None):\n clients = HWIOS.pb_server.get_clients()\n region_services = []\n for client in clients:\n region_services.extend(client.region_services)\n #for django forms\n if format == 'tuple':\n tuple_list = []\n for region_service in region_services:\n tuple_list.append((region_service['uuid'],region_service['name']))\n return tuple_list\n return region_services","def region(self):\n return self._get(\"region\")","def list_buckets():\n for bucket in s3.buckets.all():\n print(bucket)","def operating_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IpamOperatingRegionArgs']]]]:\n return pulumi.get(self, \"operating_regions\")","def get(self, request):\n conn = get_sdk_connection(request)\n availability_zone_list = _sdk_object_to_list(\n conn.load_balancer.availability_zones()\n )\n\n return {'items': availability_zone_list}","def children(self) -> List[Region]:\n return []","def regions_json(self, filename):\n with open(filename) as f:\n return json.load(f)","def rendered_regions(self, obj):\n return obj.render_json(self.context.get('request'))","def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"source_region_ids\")","def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"source_region_ids\")","def load_aws_region_name() -> str:\n session = boto3.session.Session()\n region_name = (\n click.get_current_context().params.get(\"region\") or session.region_name\n )\n return region_name","def avail_locations(session=None, call=None):\n # TODO: need to figure out a good meaning of locations in Xen\n if call == \"action\":\n raise SaltCloudException(\n \"The avail_locations function must be called with -f or --function.\"\n )\n return pool_list()","def get_volumes(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_volumes = conn.get_all_volumes()\n except boto.exception.EC2ResponseError:\n return [] # This better not fail silently or I'll cut a person.\n return region_volumes","def get_all_zones():\n cf = CloudFlare.CloudFlare(raw=True)\n page_number = 0\n total_pages = 1\n all_zones = []\n while page_number < total_pages:\n page_number += 1\n raw_results = cf.zones.get(params={'per_page':100, 'page':page_number})\n zones = raw_results['result']\n all_zones += zones\n total_pages = raw_results['result_info']['total_pages']\n return all_zones","def get_bucketlist():\n pass","def ffgs_regions():\n return [\n ('Hispaniola', 'hispaniola'),\n ('Central America', 'centralamerica')\n ]","def ReadRegions(self, fname=\"temp\"):\n self.fname = fname\n command = \"\"\"IPython.notebook.kernel.execute('file = open(\"temp\", \"w\"); [file.write(x[\"wcsstr\"]) for x in '+ JSON.stringify(JS9.GetShapes(\"regions\", {{display: '{wid}JS9'}})) +']; file.close()');\"\"\".format(wid=self.wid)\n get_ipython().run_cell_magic('javascript', '', command)","def region(self) -> str:\n return pulumi.get(self, \"region\")"],"string":"[\n \"def _get_available_regions():\\n session = boto3.session.Session()\\n\\n return session.get_available_regions(service_name='s3')\",\n \"def get_regions(ec2_client=None):\\n if not ec2_client:\\n ec2_client = boto3.client('ec2')\\n resp = ec2_client.describe_regions()\\n return [region['RegionName'] for region in resp.get('Regions', [])]\",\n \"def get_available_regions(service_name):\\n session = boto3.session.Session()\\n return session.get_available_regions(service_name)\",\n \"def get_available_regions(service_name):\\n session = boto3.session.Session()\\n return session.get_available_regions(service_name)\",\n \"def get_valid_regions(self):\\n client = self._boto.client('ec2')\\n\\n regions = []\\n for region in client.describe_regions().get('Regions', []):\\n if getattr(RegionCode.Region, region.get('RegionName'), None) is not None:\\n regions.append(RegionCode.Region[region.get('RegionName')])\\n else:\\n regions.append(region.get('RegionName'))\\n\\n return regions\",\n \"def regions(self) -> Sequence[str]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def test_aws_service_api_regions_get(self):\\n pass\",\n \"def get_regions(self):\\n return self._regions\",\n \"def regions(self) -> pulumi.Output[Sequence[str]]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def regions(self, member_state):\\n rates = self._get_rates(member_state)\\n return list(rates.regions.keys())\",\n \"def regions(self):\\n return self._regions\",\n \"def api_get_regions():\\n db_session = DBSession()\\n\\n rows = []\\n criteria = '%'\\n if request.args and request.args.get('q'):\\n criteria += request.args.get('q') + '%'\\n else:\\n criteria += '%'\\n\\n regions = db_session.query(Region).filter(Region.name.like(criteria)).order_by(Region.name.asc()).all()\\n if len(regions) > 0:\\n if request.args.get('show_all'):\\n rows.append({'id': 0, 'text': 'ALL'})\\n for region in regions:\\n rows.append({'id': region.id, 'text': region.name})\\n\\n return jsonify(**{'data': rows})\",\n \"def get_regions(**kwargs):\\n\\n instance = Ceic._get_instance()\\n\\n get_dictionaries_method = instance._dictionary_facade.get_regions\\n result = instance._make_request(get_dictionaries_method, **kwargs)\\n\\n return result\",\n \"def filter_regions(self):\\n return self.filter_nodes('/DistrictBuilder/Regions/Region')\",\n \"def list_regions(self, **kwargs):\\n resource_path = \\\"/regions\\\"\\n method = \\\"GET\\\"\\n\\n expected_kwargs = [\\\"retry_strategy\\\"]\\n extra_kwargs = [_key for _key in six.iterkeys(kwargs) if _key not in expected_kwargs]\\n if extra_kwargs:\\n raise ValueError(\\n \\\"list_regions got unknown kwargs: {!r}\\\".format(extra_kwargs))\\n\\n header_params = {\\n \\\"accept\\\": \\\"application/json\\\",\\n \\\"content-type\\\": \\\"application/json\\\"\\n }\\n\\n retry_strategy = self.retry_strategy\\n if kwargs.get('retry_strategy'):\\n retry_strategy = kwargs.get('retry_strategy')\\n\\n if retry_strategy:\\n return retry_strategy.make_retrying_call(\\n self.base_client.call_api,\\n resource_path=resource_path,\\n method=method,\\n header_params=header_params,\\n response_type=\\\"list[Region]\\\")\\n else:\\n return self.base_client.call_api(\\n resource_path=resource_path,\\n method=method,\\n header_params=header_params,\\n response_type=\\\"list[Region]\\\")\",\n \"def getStudyRegions():\\n comp_name = os.environ['COMPUTERNAME']\\n conn = py.connect('Driver=ODBC Driver 11 for SQL Server;SERVER=' +\\n comp_name + '\\\\HAZUSPLUSSRVR; UID=SA;PWD=Gohazusplus_02')\\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\\n cursor = conn.cursor()\\n cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \\n for state in cursor:\\n exclusionRows.append(state[0])\\n cursor = conn.cursor()\\n cursor.execute('SELECT * FROM sys.databases')\\n studyRegions = []\\n for row in cursor:\\n if row[0] not in exclusionRows:\\n studyRegions.append(row[0])\\n studyRegions.sort(key=lambda x: x.lower())\\n return studyRegions\",\n \"def get_regions(self,online=False):\\n clients = HWIOS.pb_server.get_clients()\\n regions = []\\n for client in clients:\\n for service in client.region_services:\\n if online: \\n if service['status'] == 'ON':\\n for region in service['regions']:\\n regions.append(region)\\n else:\\n for region in service['regions']:\\n region['status'] = service['status']\\n regions.append(region)\\n return regions\",\n \"def regions(self) -> Optional[Sequence['outputs.GetTrafficPolicyDocumentRuleRegionResult']]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def get_all_reservations(config):\\n reservations = []\\n region_list = regions(aws_access_key_id=config.keys.api,\\n aws_secret_access_key=config.keys.secret)\\n for region in region_list:\\n _logger.info(\\\"Searching %s\\\", region)\\n cnx = region.connect(aws_access_key_id=config.keys.api,\\n aws_secret_access_key=config.keys.secret)\\n for reservation in cnx.get_all_instances():\\n _logger.info(\\\"Found %s %s\\\", reservation,\\n [str(i.id) for i in reservation.instances])\\n reservations.append(reservation)\\n return reservations\",\n \"def region_clients(self, **kwargs):\\n return stats.region_clients(self._host, self._session, **kwargs)\",\n \"def getStudyRegions(self):\\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\\n self.cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \\n for state in self.cursor:\\n exclusionRows.append(state[0])\\n query = 'SELECT * FROM sys.databases'\\n df = pd.read_sql(query, self.conn)\\n studyRegions = df[~df['name'].isin(exclusionRows)]['name']\\n studyRegions = studyRegions.reset_index()\\n studyRegions = studyRegions.drop('index', axis=1)\\n self.studyRegions = studyRegions\\n return studyRegions\",\n \"def get_regions(self):\\n if self.initiated is False:\\n raise RuntimeError(\\\"Initiate first\\\")\\n\\n return self.R\",\n \"def get_valid_regions(self):\\n pass\",\n \"def list_regions():\\n regions_areas = (\\n db.session.query(\\n models.Region.code.label(\\\"region_code\\\"),\\n models.Region.name.label(\\\"region_name\\\"),\\n db.case([(models.District.code.is_(None),\\n db.literal_column(\\\"'admin_area'\\\"))],\\n else_=db.literal_column(\\\"'district'\\\")).label(\\\"area_type\\\"),\\n db.case([(models.District.code.is_(None), models.AdminArea.code)],\\n else_=models.District.code).label(\\\"area_code\\\"),\\n db.case([(models.District.code.is_(None), models.AdminArea.name)],\\n else_=models.District.name).label(\\\"area_name\\\")\\n ).select_from(models.Region)\\n .join(models.Region.areas)\\n .outerjoin(models.AdminArea.districts)\\n .filter(models.Region.code != \\\"GB\\\")\\n .order_by(\\\"region_name\\\", \\\"area_name\\\")\\n .all()\\n )\\n regions = {}\\n areas = {}\\n for row in regions_areas:\\n regions[row.region_code] = row.region_name\\n areas.setdefault(row.region_code, []).append(row)\\n\\n return render_template(\\\"regions.html\\\", regions=regions, areas=areas)\",\n \"def regions(self):\\n\\n class RegionIter(object):\\n def __init__(self, region_based):\\n self._region_based = region_based\\n\\n def __len__(self):\\n return self._region_based._region_len()\\n\\n def __iter__(self):\\n return self()\\n\\n def _fix_chromosome(self, regions):\\n for r in regions:\\n r.fix_chromosome(copy=True)\\n\\n def __call__(self, key=None, *args, **kwargs):\\n fix_chromosome = kwargs.pop('fix_chromosome', False)\\n\\n if key is None:\\n iterator = self._region_based._region_iter(*args, **kwargs)\\n else:\\n if isinstance(key, string_types) or isinstance(key, GenomicRegion):\\n iterator = self._region_based.region_subset(key, *args, **kwargs)\\n else:\\n iterator = self._region_based._get_regions(key, *args, **kwargs)\\n\\n if fix_chromosome:\\n return self._fix_chromosome(iterator)\\n else:\\n return iterator\\n\\n def __getitem__(self, item):\\n if isinstance(item, string_types) or isinstance(item, GenomicRegion):\\n return self._region_based.region_subset(item)\\n return self._region_based._get_regions(item)\\n\\n return RegionIter(self)\",\n \"def ListRegions(self):\\n project = properties.VALUES.core.project.GetOrFail()\\n request = self.messages.CloudfunctionsProjectsLocationsListRequest(\\n name='projects/' + project\\n )\\n return list_pager.YieldFromList(\\n service=self.client.projects_locations,\\n request=request,\\n field='locations',\\n batch_size_attribute='pageSize',\\n )\",\n \"def RegionList(self):\\n command = \\\"\\\"\\\"\\n IPython.notebook.kernel.execute(\\\"RegionList=\\\" + JSON.stringify(JS9.GetShapes(\\\"regions\\\", {{display: '{wid}JS9'}})));\\n \\\"\\\"\\\".format(wid=self.wid)\\n get_ipython().run_cell_magic('javascript', '', command)\",\n \"def get_snapshots(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_snapshots = conn.get_all_snapshots(owner='self')\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_snapshots\",\n \"def scope(self) -> List[Region]:\\n return [self]\",\n \"def get_regions_in_partition(self, prefix=None, delimiter='/'):\\n if prefix is None:\\n prefix = self.s3_path\\n else:\\n prefix = self._strip_slashes(prefix)\\n\\n query_params = {\\n 'Bucket': self.s3_bucket,\\n 'Prefix': prefix + '/',\\n 'Delimiter': delimiter\\n }\\n\\n # We currently should be able to get all regions in a single request\\n # TODO: Fail if we get a next token - there's more to this prefix than meets the eye\\n region_list = []\\n response = self.s3_client.list_objects_v2(**query_params)\\n for c_prefix in response.get('CommonPrefixes', []):\\n region = self._extract_region_from_prefix(c_prefix)\\n if region:\\n region_list.append(region)\\n\\n return region_list\",\n \"def get_all_db_region(self, context):\\n zone_objs = self.dns_manager.get_all_db_region(context)\\n return zone_objs\",\n \"def DescribeAccessRegions(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeAccessRegions\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeAccessRegionsResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def get_instances(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_instances = []\\n reservations = conn.get_all_reservations()\\n for reservation in reservations:\\n for instance in reservation.instances:\\n region_instances.append(instance)\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_instances\",\n \"def get_all_in_region(self, cloud_account_id: str, region_id: str) -> List[Dict]:\\n\\t\\tquery_parameters = {'cloudAccountId': cloud_account_id, 'regionId': region_id}\\n\\t\\treturn self._get(route=AWSSecurityGroupConsts.CLOUD_SECURITY_GROUP.value, params=query_parameters)\",\n \"def get_regions():\\n\\n # Also known as the 'climbing directory'\\n route_guide = urlopen('https://www.mountainproject.com/route-guide',\\n context=ctx)\\n # Opens HTML\\n region_html = route_guide.read()\\n # Parses HTML with BS package\\n region_soup = BeautifulSoup(region_html, 'html.parser')\\n # Finds regions area of the page\\n regions = region_soup.find('div', id='route-guide')\\\\\\n .find_all('div', class_='mb-half')\\n\\n for region in regions:\\n # Link to region area guide\\n url = region.find('a')['href']\\n # English name of region\\n region_name = region.find('a').get_text()\\n # Writes region name and url to Areas DB. This gives the region a\\n # unique id automatically\\n cursor.execute('''\\n INSERT INTO Areas(url, name)\\n VALUES ('%s', '%s')\\n ON CONFLICT DO NOTHING\\n ''' % (url, region_name))\\n # Commits to DB\\n conn.commit()\",\n \"def region(self):\\n return [node.region for node in self]\",\n \"def region(self):\\n return regions.lookup(self.state)\",\n \"def ls(region_name=DEFAULT_REGION):\\n s3conn = s3.connect_to_region(region_name)\\n buckets = s3conn.get_all_buckets()\\n for bucket in buckets:\\n print(bucket.name)\",\n \"def regions(self):\\n regions = set()\\n for report in self._reports:\\n region = report.model.region\\n if region is None or region in regions:\\n continue\\n yield region\",\n \"def get_db_regions(self, context, regions):\\n regions_objs = self.dns_manager.get_db_regions(context, regions)\\n return regions_objs\",\n \"def scope(self) -> List[Region]:\\n return self._scope\",\n \"def _get_available_region_options():\\n available_regions = sorted(_get_available_regions())\\n options = [ConfigurationOption(region, region) for region in available_regions]\\n\\n return options\",\n \"def describe_regions(\\n self,\\n request: dds_20151201_models.DescribeRegionsRequest,\\n ) -> dds_20151201_models.DescribeRegionsResponse:\\n runtime = util_models.RuntimeOptions()\\n return self.describe_regions_with_options(request, runtime)\",\n \"def lookups(self, request, model_admin):\\r\\n list_of_regions = []\\r\\n queryset = Region.objects.filter(parent__isnull=True).order_by(\\\"name\\\")\\r\\n for region in queryset:\\r\\n list_of_regions.append((str(region.id), region.name))\\r\\n return list_of_regions\",\n \"def get_all_regions(self, region_names=None, filters=None):\\r\\n params = {}\\r\\n if region_names:\\r\\n self.build_list_params(params, region_names, 'RegionName')\\r\\n if filters:\\r\\n self.build_filter_params(params, filters)\\r\\n regions = self.get_list('DescribeRegions', params,\\r\\n [('item', RegionInfo)], verb='POST')\\r\\n for region in regions:\\r\\n region.connection_cls = EC2Connection\\r\\n return regions\",\n \"def get_images(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_images = conn.get_all_images(owners=['self'])\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_images\",\n \"def regions_by_tag(self, *tags: str) -> Iterable[str]:\\n node = self.shards_xml(\\\"regionsbytag\\\", tags=\\\",\\\".join(tags))[\\\"regions\\\"]\\n text = node.text if node.text else \\\"\\\"\\n return text.split(\\\",\\\")\",\n \"def get_regions(locale):\\n\\n def json_file(name):\\n return os.path.join(json_dir, 'regions', '%s.json' % name)\\n\\n filepath = json_file(locale)\\n\\n if not os.path.exists(filepath):\\n filepath = json_file('en-US')\\n if not os.path.exists(filepath):\\n raise Exception('Unable to load region data')\\n\\n with codecs.open(filepath, encoding='utf8') as fd:\\n return json.load(fd)\",\n \"def _get_global_table_all_regions(table_name: str) -> List[dict]:\\n description = _describe_table(table_name=table_name)\\n replicas = description['Table'].get('Replicas', [])\\n return replicas\",\n \"def GetWorldRegions():\\n return GetDataFromCsvFile('world_regions.csv')\",\n \"def get_regionlist(chosenmodel):\\n regionlist = list(chosenmodel.regions.keys())\\n [ regionlist.remove(key) for key in regionlist\\n if type(chosenmodel.regions[key]) is dict ]\\n return regionlist\",\n \"def test_api_regions(self):\\n # load api base\\n r = requests.get('{server}/api/0.1/'.format(\\n server=self.get_server_url())).json()\\n # load regions from url specified in api base\\n r = requests.get(r['regions']).json()\\n self.assertIn('count', r)\\n self.assertIn('next', r)\\n self.assertIn('prev', r)\\n self.assertIn('regions', r)\",\n \"def vpc_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"vpc_region\\\")\",\n \"def get_aws_reserved_networks(region=None, all_regions=False):\\n result = []\\n if all_regions:\\n for aws_region in get_aws_regions_list():\\n for vpc in boto3.client('ec2', region_name=aws_region).describe_vpcs()['Vpcs']:\\n result.append(vpc)\\n else:\\n result = boto3.client('ec2', region_name=region).describe_vpcs()['Vpcs']\\n\\n vpc_used_cidr_list = []\\n for vpc in result:\\n vpc_used_cidr_list.append(PyVPCBlock(network=ipaddress.ip_network(vpc['CidrBlock']),\\n resource_id=vpc['VpcId'],\\n name=get_aws_resource_name(vpc),\\n resource_type='vpc'))\\n return vpc_used_cidr_list\",\n \"def test_aws_service_api_availability_zones_get(self):\\n pass\",\n \"def getregion(self, *args, **kwargs):\\n return _image.image_getregion(self, *args, **kwargs)\",\n \"def source_region_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def list_rds(region, filter_by_kwargs):\\n conn = boto.rds.connect_to_region(region)\\n instances = conn.get_all_dbinstances()\\n return lookup(instances, filter_by=filter_by_kwargs)\",\n \"def DescribeAccessRegionsByDestRegion(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeAccessRegionsByDestRegion\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeAccessRegionsByDestRegionResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def read_regions(namefile):\\n db = shelve.open(namefile)\\n key_firms = db['nif']\\n regions = db['regions']\\n methodvalues = db['methodvalues']\\n db.close()\\n return key_firms, regions, methodvalues\",\n \"def getImages(region):\\n creds = credentials()\\n try:\\n conn = ec2.connect_to_region(region, **creds)\\n images = conn.get_all_images(owners=['self'])\\n except boto.exception.EC2ResponseError:\\n return []\\n return images\",\n \"async def describe_regions_async(\\n self,\\n request: dds_20151201_models.DescribeRegionsRequest,\\n ) -> dds_20151201_models.DescribeRegionsResponse:\\n runtime = util_models.RuntimeOptions()\\n return await self.describe_regions_with_options_async(request, runtime)\",\n \"def operating_regions(self) -> pulumi.Output[Optional[Sequence['outputs.IpamOperatingRegion']]]:\\n return pulumi.get(self, \\\"operating_regions\\\")\",\n \"def getRegions(self, clearCache=False):\\n if clearCache:\\n self._regionCache = None\\n if self._regionCache is not None:\\n return self._regionCache\\n\\n self.lock.acquire()\\n\\n regions = []\\n self._regionsByName = {}\\n\\n # Iterate over all descriptors (even numbered regions)\\n for index in range(0, MAX_REGIONS, 2):\\n def storeDescriptor(descriptor, index=index):\\n size = struct.unpack(\\\"<I\\\", descriptor[:4])[0]\\n name = descriptor[4:].split('\\\\x00')[0]\\n if name:\\n region = Region(index + 1, size, name)\\n regions.append(region)\\n self._regionsByName[name] = region\\n\\n # Send the command the low-level way, since we already have the lock.\\n self.recv.queue.put((MAX_DESCRIPTOR_LEN, storeDescriptor))\\n self.send.queue.put(opSetRegion(index) + opReadLongs(MAX_DESCRIPTOR_LEN))\\n\\n self.recv.queue.join()\\n self._regionCache = regions\\n\\n self.lock.release()\\n return regions\",\n \"def get_regionlist_of_componentgroup(chosenmodel, componentgroup_name):\\n return list(chosenmodel.regions[componentgroup_name].keys())\",\n \"def DescribeDestRegions(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeDestRegions\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeDestRegionsResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def region(self, args):\\n m = MessageClass()\\n print('123124')\\n data = {'list': []}\\n data['list'].append({\\\"Region_Name\\\": \\\"us-east-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-east-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-west-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-west-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-northeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-northeast-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-south-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-southeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-southeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ca-central-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-central-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-3\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"sa-east-1\\\"})\\n m.data = data\\n return m.to_json()\",\n \"def get_region(self):\\n return self.creds.get('region_name')\",\n \"def endpoint_group_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"endpoint_group_region\\\")\",\n \"def load_all_countries(self):\\n core = self.core\\n regionNodes = core.load_children(self.META[\\\"Countries\\\"])\\n countryNodes = []\\n if regionNodes:\\n for regionNode in regionNodes:\\n if core.get_base_type(regionNode) == self.META[\\\"Region\\\"]:\\n countryNodes += core.load_children(regionNode)\\n return countryNodes\\n else:\\n print(\\\"There are no regions in the database\\\")\",\n \"def listPredefinedRegions(self):\\n\\n res = self._Client__proxy.listPredefinedRegions(\\n self._Client__session)\\n\\n self.checkResult(res)\\n return res[\\\"predefinedRegions\\\"]\",\n \"def region(self):\\n return self.config.region\",\n \"def list_internet_gateways(\\n profile_name: str = 'terraform',\\n region_name: str = 'us-east-1'\\n) -> [str]:\\n session = boto3.Session(profile_name=profile_name)\\n client = session.client(service_name='ec2', region_name=region_name)\\n elements = client.describe_internet_gateways()\\n _lines = []\\n for element in elements['InternetGateways']:\\n x = InternetGateway(element['InternetGatewayId'])\\n x.vpc_id = element['Attachments'][0]['VpcId']\\n x.tags = element['Tags']\\n _lines.append(x)\\n return _lines\",\n \"def get_zones(region=None, key=None, keyid=None, profile=None):\\n conn = _get_conn(region=region, key=key, keyid=keyid, profile=profile)\\n\\n return [z.name for z in conn.get_all_zones()]\",\n \"def regions_dict(self):\\n regions_dict = dict()\\n for i, r in enumerate(self.regions):\\n regions_dict[getattr(r, 'ix', i)] = r\\n return regions_dict\",\n \"def region(self):\\n if self._region is None:\\n cache_key = self.expand_name(\\\"region\\\")\\n cached = unitdata.kv().get(cache_key)\\n if cached:\\n self._region = cached\\n else:\\n req = self._imdv2_request(self._az_url)\\n with urlopen(req) as fd:\\n az = fd.read(READ_BLOCK_SIZE).decode(\\\"utf8\\\")\\n self._region = az.rstrip(string.ascii_lowercase)\\n unitdata.kv().set(cache_key, self._region)\\n return self._region\",\n \"def azs_lookup(session, lambda_compatible_only=False):\\n if session is None:\\n return []\\n\\n client = session.client('ec2')\\n response = client.describe_availability_zones()\\n # SH Removing Hack as subnet A is already in Production and causes issues trying to delete\\n # We will strip out subnets A and C when creating the lambdas.\\n #rtn = [(z[\\\"ZoneName\\\"], z[\\\"ZoneName\\\"][-1]) for z in response[\\\"AvailabilityZones\\\"] if z['ZoneName'] != 'us-east-1a']\\n rtn = [(z[\\\"ZoneName\\\"], z[\\\"ZoneName\\\"][-1]) for z in response[\\\"AvailabilityZones\\\"]]\\n\\n if lambda_compatible_only:\\n current_account = get_account_id_from_session(session)\\n for az in rtn.copy():\\n if az[1] == 'c' and current_account == hosts.PROD_ACCOUNT:\\n rtn.remove(az)\\n if az[1] == 'a' and current_account == hosts.DEV_ACCOUNT:\\n rtn.remove(az)\\n return rtn\",\n \"def whitelist_regions(self):\\n return getattr(self, '_do_whitelist_regions', False)\",\n \"def listInstancesRegionZone(region,zone):\\n\\tprint \\\"-\\\"*80\\n\\tprint \\\"# Region :\\\",region,\\\" Zone\\\", zone\\t\\n\\tprint \\\"-\\\"*80\\n\\tinstances = getInstancesRegionZone(region,zone)\\n\\tif instances:\\n\\t\\tfor instance in instances:\\n\\t\\t\\tprint \\\"[\\\",instance.ami_launch_index,\\\"]\\\",instance.ip_address,\\\" (\\\",instance.private_ip_address,\\\") \\\",instance.instance_type,\\\" key=\\\",instance.key_name\",\n \"def get_region_dict(self):\\n if self.initiated is False:\\n raise RuntimeError(\\\"Initiate first\\\")\\n\\n return self._region_dict\",\n \"def get_transcript_regions(self, transcriptId):\\n\\n regions = self.get_regions('exon')\\n transcriptRegions = []\\n for region in regions:\\n if region.transcriptId == transcriptId:\\n transcriptRegions.append(region)\\n return transcriptRegions\",\n \"def get_region_services(self,format=None):\\n clients = HWIOS.pb_server.get_clients()\\n region_services = []\\n for client in clients:\\n region_services.extend(client.region_services)\\n #for django forms\\n if format == 'tuple':\\n tuple_list = []\\n for region_service in region_services:\\n tuple_list.append((region_service['uuid'],region_service['name']))\\n return tuple_list\\n return region_services\",\n \"def region(self):\\n return self._get(\\\"region\\\")\",\n \"def list_buckets():\\n for bucket in s3.buckets.all():\\n print(bucket)\",\n \"def operating_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IpamOperatingRegionArgs']]]]:\\n return pulumi.get(self, \\\"operating_regions\\\")\",\n \"def get(self, request):\\n conn = get_sdk_connection(request)\\n availability_zone_list = _sdk_object_to_list(\\n conn.load_balancer.availability_zones()\\n )\\n\\n return {'items': availability_zone_list}\",\n \"def children(self) -> List[Region]:\\n return []\",\n \"def regions_json(self, filename):\\n with open(filename) as f:\\n return json.load(f)\",\n \"def rendered_regions(self, obj):\\n return obj.render_json(self.context.get('request'))\",\n \"def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def load_aws_region_name() -> str:\\n session = boto3.session.Session()\\n region_name = (\\n click.get_current_context().params.get(\\\"region\\\") or session.region_name\\n )\\n return region_name\",\n \"def avail_locations(session=None, call=None):\\n # TODO: need to figure out a good meaning of locations in Xen\\n if call == \\\"action\\\":\\n raise SaltCloudException(\\n \\\"The avail_locations function must be called with -f or --function.\\\"\\n )\\n return pool_list()\",\n \"def get_volumes(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_volumes = conn.get_all_volumes()\\n except boto.exception.EC2ResponseError:\\n return [] # This better not fail silently or I'll cut a person.\\n return region_volumes\",\n \"def get_all_zones():\\n cf = CloudFlare.CloudFlare(raw=True)\\n page_number = 0\\n total_pages = 1\\n all_zones = []\\n while page_number < total_pages:\\n page_number += 1\\n raw_results = cf.zones.get(params={'per_page':100, 'page':page_number})\\n zones = raw_results['result']\\n all_zones += zones\\n total_pages = raw_results['result_info']['total_pages']\\n return all_zones\",\n \"def get_bucketlist():\\n pass\",\n \"def ffgs_regions():\\n return [\\n ('Hispaniola', 'hispaniola'),\\n ('Central America', 'centralamerica')\\n ]\",\n \"def ReadRegions(self, fname=\\\"temp\\\"):\\n self.fname = fname\\n command = \\\"\\\"\\\"IPython.notebook.kernel.execute('file = open(\\\"temp\\\", \\\"w\\\"); [file.write(x[\\\"wcsstr\\\"]) for x in '+ JSON.stringify(JS9.GetShapes(\\\"regions\\\", {{display: '{wid}JS9'}})) +']; file.close()');\\\"\\\"\\\".format(wid=self.wid)\\n get_ipython().run_cell_magic('javascript', '', command)\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8312565","0.779635","0.77942985","0.77942985","0.728351","0.7272279","0.71950173","0.7140144","0.70876795","0.69920516","0.6973136","0.692615","0.6878461","0.6822473","0.6779286","0.6745307","0.67410904","0.6683353","0.664014","0.6598619","0.65845656","0.65719104","0.65711975","0.65673536","0.64892554","0.64801663","0.6439613","0.6420435","0.6401047","0.64007866","0.639505","0.6384996","0.6370646","0.63652235","0.6356448","0.62927395","0.627321","0.61878794","0.61749566","0.6168414","0.6155335","0.608255","0.6062303","0.6050333","0.6031984","0.60035217","0.5989563","0.5983013","0.591161","0.5883922","0.5882775","0.5842723","0.58391607","0.5813007","0.5810873","0.5798928","0.5797396","0.57929695","0.57811475","0.57782423","0.5777307","0.5755902","0.57420397","0.5738982","0.5728668","0.5728234","0.5718206","0.5695173","0.5688639","0.5686243","0.56831473","0.5667013","0.56665355","0.5612399","0.5612315","0.5601767","0.5580547","0.5580073","0.55715996","0.5556764","0.5535209","0.5527436","0.5499612","0.5489355","0.54797554","0.5470251","0.5467954","0.5465599","0.54629457","0.5452229","0.5449347","0.5449347","0.5448797","0.5441852","0.54281044","0.54222935","0.54175586","0.5406034","0.5404364","0.54041964"],"string":"[\n \"0.8312565\",\n \"0.779635\",\n \"0.77942985\",\n \"0.77942985\",\n \"0.728351\",\n \"0.7272279\",\n \"0.71950173\",\n \"0.7140144\",\n \"0.70876795\",\n \"0.69920516\",\n \"0.6973136\",\n \"0.692615\",\n \"0.6878461\",\n \"0.6822473\",\n \"0.6779286\",\n \"0.6745307\",\n \"0.67410904\",\n \"0.6683353\",\n \"0.664014\",\n \"0.6598619\",\n \"0.65845656\",\n \"0.65719104\",\n \"0.65711975\",\n \"0.65673536\",\n \"0.64892554\",\n \"0.64801663\",\n \"0.6439613\",\n \"0.6420435\",\n \"0.6401047\",\n \"0.64007866\",\n \"0.639505\",\n \"0.6384996\",\n \"0.6370646\",\n \"0.63652235\",\n \"0.6356448\",\n \"0.62927395\",\n \"0.627321\",\n \"0.61878794\",\n \"0.61749566\",\n \"0.6168414\",\n \"0.6155335\",\n \"0.608255\",\n \"0.6062303\",\n \"0.6050333\",\n \"0.6031984\",\n \"0.60035217\",\n \"0.5989563\",\n \"0.5983013\",\n \"0.591161\",\n \"0.5883922\",\n \"0.5882775\",\n \"0.5842723\",\n \"0.58391607\",\n \"0.5813007\",\n \"0.5810873\",\n \"0.5798928\",\n \"0.5797396\",\n \"0.57929695\",\n \"0.57811475\",\n \"0.57782423\",\n \"0.5777307\",\n \"0.5755902\",\n \"0.57420397\",\n \"0.5738982\",\n \"0.5728668\",\n \"0.5728234\",\n \"0.5718206\",\n \"0.5695173\",\n \"0.5688639\",\n \"0.5686243\",\n \"0.56831473\",\n \"0.5667013\",\n \"0.56665355\",\n \"0.5612399\",\n \"0.5612315\",\n \"0.5601767\",\n \"0.5580547\",\n \"0.5580073\",\n \"0.55715996\",\n \"0.5556764\",\n \"0.5535209\",\n \"0.5527436\",\n \"0.5499612\",\n \"0.5489355\",\n \"0.54797554\",\n \"0.5470251\",\n \"0.5467954\",\n \"0.5465599\",\n \"0.54629457\",\n \"0.5452229\",\n \"0.5449347\",\n \"0.5449347\",\n \"0.5448797\",\n \"0.5441852\",\n \"0.54281044\",\n \"0.54222935\",\n \"0.54175586\",\n \"0.5406034\",\n \"0.5404364\",\n \"0.54041964\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7289586"},"document_rank":{"kind":"string","value":"4"}}},{"rowIdx":1796,"cells":{"query":{"kind":"string","value":"Gets all AWS regions that Krux can access"},"document":{"kind":"string","value":"def get_valid_regions(self):\n client = self._boto.client('ec2')\n\n regions = []\n for region in client.describe_regions().get('Regions', []):\n if getattr(RegionCode.Region, region.get('RegionName'), None) is not None:\n regions.append(RegionCode.Region[region.get('RegionName')])\n else:\n regions.append(region.get('RegionName'))\n\n return regions"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def _get_available_regions():\n session = boto3.session.Session()\n\n return session.get_available_regions(service_name='s3')","def get_regions(ec2_client=None):\n if not ec2_client:\n ec2_client = boto3.client('ec2')\n resp = ec2_client.describe_regions()\n return [region['RegionName'] for region in resp.get('Regions', [])]","def get_available_regions(service_name):\n session = boto3.session.Session()\n return session.get_available_regions(service_name)","def get_available_regions(service_name):\n session = boto3.session.Session()\n return session.get_available_regions(service_name)","def get_valid_regions(self):\n conn = self._boto.ec2.connect_to_region(self.cli_region)\n\n regions = []\n for region in conn.get_all_regions():\n if getattr(RegionCode.Region, region.name, None) is not None:\n regions.append(RegionCode.Region[region.name])\n else:\n regions.append(region.name)\n\n return regions","def regions(self) -> Sequence[str]:\n return pulumi.get(self, \"regions\")","def test_aws_service_api_regions_get(self):\n pass","def get_regions(self):\n return self._regions","def regions(self) -> pulumi.Output[Sequence[str]]:\n return pulumi.get(self, \"regions\")","def regions(self, member_state):\n rates = self._get_rates(member_state)\n return list(rates.regions.keys())","def regions(self):\n return self._regions","def api_get_regions():\n db_session = DBSession()\n\n rows = []\n criteria = '%'\n if request.args and request.args.get('q'):\n criteria += request.args.get('q') + '%'\n else:\n criteria += '%'\n\n regions = db_session.query(Region).filter(Region.name.like(criteria)).order_by(Region.name.asc()).all()\n if len(regions) > 0:\n if request.args.get('show_all'):\n rows.append({'id': 0, 'text': 'ALL'})\n for region in regions:\n rows.append({'id': region.id, 'text': region.name})\n\n return jsonify(**{'data': rows})","def get_regions(**kwargs):\n\n instance = Ceic._get_instance()\n\n get_dictionaries_method = instance._dictionary_facade.get_regions\n result = instance._make_request(get_dictionaries_method, **kwargs)\n\n return result","def filter_regions(self):\n return self.filter_nodes('/DistrictBuilder/Regions/Region')","def list_regions(self, **kwargs):\n resource_path = \"/regions\"\n method = \"GET\"\n\n expected_kwargs = [\"retry_strategy\"]\n extra_kwargs = [_key for _key in six.iterkeys(kwargs) if _key not in expected_kwargs]\n if extra_kwargs:\n raise ValueError(\n \"list_regions got unknown kwargs: {!r}\".format(extra_kwargs))\n\n header_params = {\n \"accept\": \"application/json\",\n \"content-type\": \"application/json\"\n }\n\n retry_strategy = self.retry_strategy\n if kwargs.get('retry_strategy'):\n retry_strategy = kwargs.get('retry_strategy')\n\n if retry_strategy:\n return retry_strategy.make_retrying_call(\n self.base_client.call_api,\n resource_path=resource_path,\n method=method,\n header_params=header_params,\n response_type=\"list[Region]\")\n else:\n return self.base_client.call_api(\n resource_path=resource_path,\n method=method,\n header_params=header_params,\n response_type=\"list[Region]\")","def getStudyRegions():\n comp_name = os.environ['COMPUTERNAME']\n conn = py.connect('Driver=ODBC Driver 11 for SQL Server;SERVER=' +\n comp_name + '\\HAZUSPLUSSRVR; UID=SA;PWD=Gohazusplus_02')\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\n cursor = conn.cursor()\n cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \n for state in cursor:\n exclusionRows.append(state[0])\n cursor = conn.cursor()\n cursor.execute('SELECT * FROM sys.databases')\n studyRegions = []\n for row in cursor:\n if row[0] not in exclusionRows:\n studyRegions.append(row[0])\n studyRegions.sort(key=lambda x: x.lower())\n return studyRegions","def get_regions(self,online=False):\n clients = HWIOS.pb_server.get_clients()\n regions = []\n for client in clients:\n for service in client.region_services:\n if online: \n if service['status'] == 'ON':\n for region in service['regions']:\n regions.append(region)\n else:\n for region in service['regions']:\n region['status'] = service['status']\n regions.append(region)\n return regions","def regions(self) -> Optional[Sequence['outputs.GetTrafficPolicyDocumentRuleRegionResult']]:\n return pulumi.get(self, \"regions\")","def regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"regions\")","def get_all_reservations(config):\n reservations = []\n region_list = regions(aws_access_key_id=config.keys.api,\n aws_secret_access_key=config.keys.secret)\n for region in region_list:\n _logger.info(\"Searching %s\", region)\n cnx = region.connect(aws_access_key_id=config.keys.api,\n aws_secret_access_key=config.keys.secret)\n for reservation in cnx.get_all_instances():\n _logger.info(\"Found %s %s\", reservation,\n [str(i.id) for i in reservation.instances])\n reservations.append(reservation)\n return reservations","def region_clients(self, **kwargs):\n return stats.region_clients(self._host, self._session, **kwargs)","def getStudyRegions(self):\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\n self.cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \n for state in self.cursor:\n exclusionRows.append(state[0])\n query = 'SELECT * FROM sys.databases'\n df = pd.read_sql(query, self.conn)\n studyRegions = df[~df['name'].isin(exclusionRows)]['name']\n studyRegions = studyRegions.reset_index()\n studyRegions = studyRegions.drop('index', axis=1)\n self.studyRegions = studyRegions\n return studyRegions","def get_regions(self):\n if self.initiated is False:\n raise RuntimeError(\"Initiate first\")\n\n return self.R","def get_valid_regions(self):\n pass","def list_regions():\n regions_areas = (\n db.session.query(\n models.Region.code.label(\"region_code\"),\n models.Region.name.label(\"region_name\"),\n db.case([(models.District.code.is_(None),\n db.literal_column(\"'admin_area'\"))],\n else_=db.literal_column(\"'district'\")).label(\"area_type\"),\n db.case([(models.District.code.is_(None), models.AdminArea.code)],\n else_=models.District.code).label(\"area_code\"),\n db.case([(models.District.code.is_(None), models.AdminArea.name)],\n else_=models.District.name).label(\"area_name\")\n ).select_from(models.Region)\n .join(models.Region.areas)\n .outerjoin(models.AdminArea.districts)\n .filter(models.Region.code != \"GB\")\n .order_by(\"region_name\", \"area_name\")\n .all()\n )\n regions = {}\n areas = {}\n for row in regions_areas:\n regions[row.region_code] = row.region_name\n areas.setdefault(row.region_code, []).append(row)\n\n return render_template(\"regions.html\", regions=regions, areas=areas)","def regions(self):\n\n class RegionIter(object):\n def __init__(self, region_based):\n self._region_based = region_based\n\n def __len__(self):\n return self._region_based._region_len()\n\n def __iter__(self):\n return self()\n\n def _fix_chromosome(self, regions):\n for r in regions:\n r.fix_chromosome(copy=True)\n\n def __call__(self, key=None, *args, **kwargs):\n fix_chromosome = kwargs.pop('fix_chromosome', False)\n\n if key is None:\n iterator = self._region_based._region_iter(*args, **kwargs)\n else:\n if isinstance(key, string_types) or isinstance(key, GenomicRegion):\n iterator = self._region_based.region_subset(key, *args, **kwargs)\n else:\n iterator = self._region_based._get_regions(key, *args, **kwargs)\n\n if fix_chromosome:\n return self._fix_chromosome(iterator)\n else:\n return iterator\n\n def __getitem__(self, item):\n if isinstance(item, string_types) or isinstance(item, GenomicRegion):\n return self._region_based.region_subset(item)\n return self._region_based._get_regions(item)\n\n return RegionIter(self)","def ListRegions(self):\n project = properties.VALUES.core.project.GetOrFail()\n request = self.messages.CloudfunctionsProjectsLocationsListRequest(\n name='projects/' + project\n )\n return list_pager.YieldFromList(\n service=self.client.projects_locations,\n request=request,\n field='locations',\n batch_size_attribute='pageSize',\n )","def RegionList(self):\n command = \"\"\"\n IPython.notebook.kernel.execute(\"RegionList=\" + JSON.stringify(JS9.GetShapes(\"regions\", {{display: '{wid}JS9'}})));\n \"\"\".format(wid=self.wid)\n get_ipython().run_cell_magic('javascript', '', command)","def get_snapshots(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_snapshots = conn.get_all_snapshots(owner='self')\n except boto.exception.EC2ResponseError:\n return []\n return region_snapshots","def scope(self) -> List[Region]:\n return [self]","def get_regions_in_partition(self, prefix=None, delimiter='/'):\n if prefix is None:\n prefix = self.s3_path\n else:\n prefix = self._strip_slashes(prefix)\n\n query_params = {\n 'Bucket': self.s3_bucket,\n 'Prefix': prefix + '/',\n 'Delimiter': delimiter\n }\n\n # We currently should be able to get all regions in a single request\n # TODO: Fail if we get a next token - there's more to this prefix than meets the eye\n region_list = []\n response = self.s3_client.list_objects_v2(**query_params)\n for c_prefix in response.get('CommonPrefixes', []):\n region = self._extract_region_from_prefix(c_prefix)\n if region:\n region_list.append(region)\n\n return region_list","def get_all_db_region(self, context):\n zone_objs = self.dns_manager.get_all_db_region(context)\n return zone_objs","def DescribeAccessRegions(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeAccessRegions\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeAccessRegionsResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def get_instances(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_instances = []\n reservations = conn.get_all_reservations()\n for reservation in reservations:\n for instance in reservation.instances:\n region_instances.append(instance)\n except boto.exception.EC2ResponseError:\n return []\n return region_instances","def get_all_in_region(self, cloud_account_id: str, region_id: str) -> List[Dict]:\n\t\tquery_parameters = {'cloudAccountId': cloud_account_id, 'regionId': region_id}\n\t\treturn self._get(route=AWSSecurityGroupConsts.CLOUD_SECURITY_GROUP.value, params=query_parameters)","def get_regions():\n\n # Also known as the 'climbing directory'\n route_guide = urlopen('https://www.mountainproject.com/route-guide',\n context=ctx)\n # Opens HTML\n region_html = route_guide.read()\n # Parses HTML with BS package\n region_soup = BeautifulSoup(region_html, 'html.parser')\n # Finds regions area of the page\n regions = region_soup.find('div', id='route-guide')\\\n .find_all('div', class_='mb-half')\n\n for region in regions:\n # Link to region area guide\n url = region.find('a')['href']\n # English name of region\n region_name = region.find('a').get_text()\n # Writes region name and url to Areas DB. This gives the region a\n # unique id automatically\n cursor.execute('''\n INSERT INTO Areas(url, name)\n VALUES ('%s', '%s')\n ON CONFLICT DO NOTHING\n ''' % (url, region_name))\n # Commits to DB\n conn.commit()","def region(self):\n return [node.region for node in self]","def region(self):\n return regions.lookup(self.state)","def ls(region_name=DEFAULT_REGION):\n s3conn = s3.connect_to_region(region_name)\n buckets = s3conn.get_all_buckets()\n for bucket in buckets:\n print(bucket.name)","def regions(self):\n regions = set()\n for report in self._reports:\n region = report.model.region\n if region is None or region in regions:\n continue\n yield region","def get_db_regions(self, context, regions):\n regions_objs = self.dns_manager.get_db_regions(context, regions)\n return regions_objs","def scope(self) -> List[Region]:\n return self._scope","def _get_available_region_options():\n available_regions = sorted(_get_available_regions())\n options = [ConfigurationOption(region, region) for region in available_regions]\n\n return options","def describe_regions(\n self,\n request: dds_20151201_models.DescribeRegionsRequest,\n ) -> dds_20151201_models.DescribeRegionsResponse:\n runtime = util_models.RuntimeOptions()\n return self.describe_regions_with_options(request, runtime)","def lookups(self, request, model_admin):\r\n list_of_regions = []\r\n queryset = Region.objects.filter(parent__isnull=True).order_by(\"name\")\r\n for region in queryset:\r\n list_of_regions.append((str(region.id), region.name))\r\n return list_of_regions","def get_all_regions(self, region_names=None, filters=None):\r\n params = {}\r\n if region_names:\r\n self.build_list_params(params, region_names, 'RegionName')\r\n if filters:\r\n self.build_filter_params(params, filters)\r\n regions = self.get_list('DescribeRegions', params,\r\n [('item', RegionInfo)], verb='POST')\r\n for region in regions:\r\n region.connection_cls = EC2Connection\r\n return regions","def get_images(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_images = conn.get_all_images(owners=['self'])\n except boto.exception.EC2ResponseError:\n return []\n return region_images","def regions_by_tag(self, *tags: str) -> Iterable[str]:\n node = self.shards_xml(\"regionsbytag\", tags=\",\".join(tags))[\"regions\"]\n text = node.text if node.text else \"\"\n return text.split(\",\")","def get_regions(locale):\n\n def json_file(name):\n return os.path.join(json_dir, 'regions', '%s.json' % name)\n\n filepath = json_file(locale)\n\n if not os.path.exists(filepath):\n filepath = json_file('en-US')\n if not os.path.exists(filepath):\n raise Exception('Unable to load region data')\n\n with codecs.open(filepath, encoding='utf8') as fd:\n return json.load(fd)","def _get_global_table_all_regions(table_name: str) -> List[dict]:\n description = _describe_table(table_name=table_name)\n replicas = description['Table'].get('Replicas', [])\n return replicas","def GetWorldRegions():\n return GetDataFromCsvFile('world_regions.csv')","def get_regionlist(chosenmodel):\n regionlist = list(chosenmodel.regions.keys())\n [ regionlist.remove(key) for key in regionlist\n if type(chosenmodel.regions[key]) is dict ]\n return regionlist","def test_api_regions(self):\n # load api base\n r = requests.get('{server}/api/0.1/'.format(\n server=self.get_server_url())).json()\n # load regions from url specified in api base\n r = requests.get(r['regions']).json()\n self.assertIn('count', r)\n self.assertIn('next', r)\n self.assertIn('prev', r)\n self.assertIn('regions', r)","def vpc_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"vpc_region\")","def get_aws_reserved_networks(region=None, all_regions=False):\n result = []\n if all_regions:\n for aws_region in get_aws_regions_list():\n for vpc in boto3.client('ec2', region_name=aws_region).describe_vpcs()['Vpcs']:\n result.append(vpc)\n else:\n result = boto3.client('ec2', region_name=region).describe_vpcs()['Vpcs']\n\n vpc_used_cidr_list = []\n for vpc in result:\n vpc_used_cidr_list.append(PyVPCBlock(network=ipaddress.ip_network(vpc['CidrBlock']),\n resource_id=vpc['VpcId'],\n name=get_aws_resource_name(vpc),\n resource_type='vpc'))\n return vpc_used_cidr_list","def test_aws_service_api_availability_zones_get(self):\n pass","def getregion(self, *args, **kwargs):\n return _image.image_getregion(self, *args, **kwargs)","def source_region_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:\n return pulumi.get(self, \"source_region_ids\")","def list_rds(region, filter_by_kwargs):\n conn = boto.rds.connect_to_region(region)\n instances = conn.get_all_dbinstances()\n return lookup(instances, filter_by=filter_by_kwargs)","def DescribeAccessRegionsByDestRegion(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeAccessRegionsByDestRegion\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeAccessRegionsByDestRegionResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def read_regions(namefile):\n db = shelve.open(namefile)\n key_firms = db['nif']\n regions = db['regions']\n methodvalues = db['methodvalues']\n db.close()\n return key_firms, regions, methodvalues","def getImages(region):\n creds = credentials()\n try:\n conn = ec2.connect_to_region(region, **creds)\n images = conn.get_all_images(owners=['self'])\n except boto.exception.EC2ResponseError:\n return []\n return images","async def describe_regions_async(\n self,\n request: dds_20151201_models.DescribeRegionsRequest,\n ) -> dds_20151201_models.DescribeRegionsResponse:\n runtime = util_models.RuntimeOptions()\n return await self.describe_regions_with_options_async(request, runtime)","def operating_regions(self) -> pulumi.Output[Optional[Sequence['outputs.IpamOperatingRegion']]]:\n return pulumi.get(self, \"operating_regions\")","def getRegions(self, clearCache=False):\n if clearCache:\n self._regionCache = None\n if self._regionCache is not None:\n return self._regionCache\n\n self.lock.acquire()\n\n regions = []\n self._regionsByName = {}\n\n # Iterate over all descriptors (even numbered regions)\n for index in range(0, MAX_REGIONS, 2):\n def storeDescriptor(descriptor, index=index):\n size = struct.unpack(\"<I\", descriptor[:4])[0]\n name = descriptor[4:].split('\\x00')[0]\n if name:\n region = Region(index + 1, size, name)\n regions.append(region)\n self._regionsByName[name] = region\n\n # Send the command the low-level way, since we already have the lock.\n self.recv.queue.put((MAX_DESCRIPTOR_LEN, storeDescriptor))\n self.send.queue.put(opSetRegion(index) + opReadLongs(MAX_DESCRIPTOR_LEN))\n\n self.recv.queue.join()\n self._regionCache = regions\n\n self.lock.release()\n return regions","def get_regionlist_of_componentgroup(chosenmodel, componentgroup_name):\n return list(chosenmodel.regions[componentgroup_name].keys())","def DescribeDestRegions(self, request):\n try:\n params = request._serialize()\n headers = request.headers\n body = self.call(\"DescribeDestRegions\", params, headers=headers)\n response = json.loads(body)\n model = models.DescribeDestRegionsResponse()\n model._deserialize(response[\"Response\"])\n return model\n except Exception as e:\n if isinstance(e, TencentCloudSDKException):\n raise\n else:\n raise TencentCloudSDKException(type(e).__name__, str(e))","def region(self, args):\n m = MessageClass()\n print('123124')\n data = {'list': []}\n data['list'].append({\"Region_Name\": \"us-east-1\"})\n data['list'].append({\"Region_Name\": \"us-east-2\"})\n data['list'].append({\"Region_Name\": \"us-west-1\"})\n data['list'].append({\"Region_Name\": \"us-west-2\"})\n data['list'].append({\"Region_Name\": \"ap-northeast-1\"})\n data['list'].append({\"Region_Name\": \"ap-northeast-2\"})\n data['list'].append({\"Region_Name\": \"ap-south-1\"})\n data['list'].append({\"Region_Name\": \"ap-southeast-1\"})\n data['list'].append({\"Region_Name\": \"ap-southeast-1\"})\n data['list'].append({\"Region_Name\": \"ca-central-1\"})\n data['list'].append({\"Region_Name\": \"eu-central-1\"})\n data['list'].append({\"Region_Name\": \"eu-west-1\"})\n data['list'].append({\"Region_Name\": \"eu-west-2\"})\n data['list'].append({\"Region_Name\": \"eu-west-3\"})\n data['list'].append({\"Region_Name\": \"sa-east-1\"})\n m.data = data\n return m.to_json()","def get_region(self):\n return self.creds.get('region_name')","def endpoint_group_region(self) -> pulumi.Output[str]:\n return pulumi.get(self, \"endpoint_group_region\")","def load_all_countries(self):\n core = self.core\n regionNodes = core.load_children(self.META[\"Countries\"])\n countryNodes = []\n if regionNodes:\n for regionNode in regionNodes:\n if core.get_base_type(regionNode) == self.META[\"Region\"]:\n countryNodes += core.load_children(regionNode)\n return countryNodes\n else:\n print(\"There are no regions in the database\")","def listPredefinedRegions(self):\n\n res = self._Client__proxy.listPredefinedRegions(\n self._Client__session)\n\n self.checkResult(res)\n return res[\"predefinedRegions\"]","def region(self):\n return self.config.region","def list_internet_gateways(\n profile_name: str = 'terraform',\n region_name: str = 'us-east-1'\n) -> [str]:\n session = boto3.Session(profile_name=profile_name)\n client = session.client(service_name='ec2', region_name=region_name)\n elements = client.describe_internet_gateways()\n _lines = []\n for element in elements['InternetGateways']:\n x = InternetGateway(element['InternetGatewayId'])\n x.vpc_id = element['Attachments'][0]['VpcId']\n x.tags = element['Tags']\n _lines.append(x)\n return _lines","def get_zones(region=None, key=None, keyid=None, profile=None):\n conn = _get_conn(region=region, key=key, keyid=keyid, profile=profile)\n\n return [z.name for z in conn.get_all_zones()]","def regions_dict(self):\n regions_dict = dict()\n for i, r in enumerate(self.regions):\n regions_dict[getattr(r, 'ix', i)] = r\n return regions_dict","def region(self):\n if self._region is None:\n cache_key = self.expand_name(\"region\")\n cached = unitdata.kv().get(cache_key)\n if cached:\n self._region = cached\n else:\n req = self._imdv2_request(self._az_url)\n with urlopen(req) as fd:\n az = fd.read(READ_BLOCK_SIZE).decode(\"utf8\")\n self._region = az.rstrip(string.ascii_lowercase)\n unitdata.kv().set(cache_key, self._region)\n return self._region","def azs_lookup(session, lambda_compatible_only=False):\n if session is None:\n return []\n\n client = session.client('ec2')\n response = client.describe_availability_zones()\n # SH Removing Hack as subnet A is already in Production and causes issues trying to delete\n # We will strip out subnets A and C when creating the lambdas.\n #rtn = [(z[\"ZoneName\"], z[\"ZoneName\"][-1]) for z in response[\"AvailabilityZones\"] if z['ZoneName'] != 'us-east-1a']\n rtn = [(z[\"ZoneName\"], z[\"ZoneName\"][-1]) for z in response[\"AvailabilityZones\"]]\n\n if lambda_compatible_only:\n current_account = get_account_id_from_session(session)\n for az in rtn.copy():\n if az[1] == 'c' and current_account == hosts.PROD_ACCOUNT:\n rtn.remove(az)\n if az[1] == 'a' and current_account == hosts.DEV_ACCOUNT:\n rtn.remove(az)\n return rtn","def whitelist_regions(self):\n return getattr(self, '_do_whitelist_regions', False)","def listInstancesRegionZone(region,zone):\n\tprint \"-\"*80\n\tprint \"# Region :\",region,\" Zone\", zone\t\n\tprint \"-\"*80\n\tinstances = getInstancesRegionZone(region,zone)\n\tif instances:\n\t\tfor instance in instances:\n\t\t\tprint \"[\",instance.ami_launch_index,\"]\",instance.ip_address,\" (\",instance.private_ip_address,\") \",instance.instance_type,\" key=\",instance.key_name","def get_region_dict(self):\n if self.initiated is False:\n raise RuntimeError(\"Initiate first\")\n\n return self._region_dict","def get_transcript_regions(self, transcriptId):\n\n regions = self.get_regions('exon')\n transcriptRegions = []\n for region in regions:\n if region.transcriptId == transcriptId:\n transcriptRegions.append(region)\n return transcriptRegions","def get_region_services(self,format=None):\n clients = HWIOS.pb_server.get_clients()\n region_services = []\n for client in clients:\n region_services.extend(client.region_services)\n #for django forms\n if format == 'tuple':\n tuple_list = []\n for region_service in region_services:\n tuple_list.append((region_service['uuid'],region_service['name']))\n return tuple_list\n return region_services","def region(self):\n return self._get(\"region\")","def list_buckets():\n for bucket in s3.buckets.all():\n print(bucket)","def operating_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IpamOperatingRegionArgs']]]]:\n return pulumi.get(self, \"operating_regions\")","def get(self, request):\n conn = get_sdk_connection(request)\n availability_zone_list = _sdk_object_to_list(\n conn.load_balancer.availability_zones()\n )\n\n return {'items': availability_zone_list}","def children(self) -> List[Region]:\n return []","def regions_json(self, filename):\n with open(filename) as f:\n return json.load(f)","def rendered_regions(self, obj):\n return obj.render_json(self.context.get('request'))","def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"source_region_ids\")","def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\n return pulumi.get(self, \"source_region_ids\")","def load_aws_region_name() -> str:\n session = boto3.session.Session()\n region_name = (\n click.get_current_context().params.get(\"region\") or session.region_name\n )\n return region_name","def avail_locations(session=None, call=None):\n # TODO: need to figure out a good meaning of locations in Xen\n if call == \"action\":\n raise SaltCloudException(\n \"The avail_locations function must be called with -f or --function.\"\n )\n return pool_list()","def get_volumes(self, region):\n try:\n conn = ec2.connect_to_region(region, **self.credentials)\n region_volumes = conn.get_all_volumes()\n except boto.exception.EC2ResponseError:\n return [] # This better not fail silently or I'll cut a person.\n return region_volumes","def get_all_zones():\n cf = CloudFlare.CloudFlare(raw=True)\n page_number = 0\n total_pages = 1\n all_zones = []\n while page_number < total_pages:\n page_number += 1\n raw_results = cf.zones.get(params={'per_page':100, 'page':page_number})\n zones = raw_results['result']\n all_zones += zones\n total_pages = raw_results['result_info']['total_pages']\n return all_zones","def get_bucketlist():\n pass","def ffgs_regions():\n return [\n ('Hispaniola', 'hispaniola'),\n ('Central America', 'centralamerica')\n ]","def ReadRegions(self, fname=\"temp\"):\n self.fname = fname\n command = \"\"\"IPython.notebook.kernel.execute('file = open(\"temp\", \"w\"); [file.write(x[\"wcsstr\"]) for x in '+ JSON.stringify(JS9.GetShapes(\"regions\", {{display: '{wid}JS9'}})) +']; file.close()');\"\"\".format(wid=self.wid)\n get_ipython().run_cell_magic('javascript', '', command)","def region(self) -> str:\n return pulumi.get(self, \"region\")"],"string":"[\n \"def _get_available_regions():\\n session = boto3.session.Session()\\n\\n return session.get_available_regions(service_name='s3')\",\n \"def get_regions(ec2_client=None):\\n if not ec2_client:\\n ec2_client = boto3.client('ec2')\\n resp = ec2_client.describe_regions()\\n return [region['RegionName'] for region in resp.get('Regions', [])]\",\n \"def get_available_regions(service_name):\\n session = boto3.session.Session()\\n return session.get_available_regions(service_name)\",\n \"def get_available_regions(service_name):\\n session = boto3.session.Session()\\n return session.get_available_regions(service_name)\",\n \"def get_valid_regions(self):\\n conn = self._boto.ec2.connect_to_region(self.cli_region)\\n\\n regions = []\\n for region in conn.get_all_regions():\\n if getattr(RegionCode.Region, region.name, None) is not None:\\n regions.append(RegionCode.Region[region.name])\\n else:\\n regions.append(region.name)\\n\\n return regions\",\n \"def regions(self) -> Sequence[str]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def test_aws_service_api_regions_get(self):\\n pass\",\n \"def get_regions(self):\\n return self._regions\",\n \"def regions(self) -> pulumi.Output[Sequence[str]]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def regions(self, member_state):\\n rates = self._get_rates(member_state)\\n return list(rates.regions.keys())\",\n \"def regions(self):\\n return self._regions\",\n \"def api_get_regions():\\n db_session = DBSession()\\n\\n rows = []\\n criteria = '%'\\n if request.args and request.args.get('q'):\\n criteria += request.args.get('q') + '%'\\n else:\\n criteria += '%'\\n\\n regions = db_session.query(Region).filter(Region.name.like(criteria)).order_by(Region.name.asc()).all()\\n if len(regions) > 0:\\n if request.args.get('show_all'):\\n rows.append({'id': 0, 'text': 'ALL'})\\n for region in regions:\\n rows.append({'id': region.id, 'text': region.name})\\n\\n return jsonify(**{'data': rows})\",\n \"def get_regions(**kwargs):\\n\\n instance = Ceic._get_instance()\\n\\n get_dictionaries_method = instance._dictionary_facade.get_regions\\n result = instance._make_request(get_dictionaries_method, **kwargs)\\n\\n return result\",\n \"def filter_regions(self):\\n return self.filter_nodes('/DistrictBuilder/Regions/Region')\",\n \"def list_regions(self, **kwargs):\\n resource_path = \\\"/regions\\\"\\n method = \\\"GET\\\"\\n\\n expected_kwargs = [\\\"retry_strategy\\\"]\\n extra_kwargs = [_key for _key in six.iterkeys(kwargs) if _key not in expected_kwargs]\\n if extra_kwargs:\\n raise ValueError(\\n \\\"list_regions got unknown kwargs: {!r}\\\".format(extra_kwargs))\\n\\n header_params = {\\n \\\"accept\\\": \\\"application/json\\\",\\n \\\"content-type\\\": \\\"application/json\\\"\\n }\\n\\n retry_strategy = self.retry_strategy\\n if kwargs.get('retry_strategy'):\\n retry_strategy = kwargs.get('retry_strategy')\\n\\n if retry_strategy:\\n return retry_strategy.make_retrying_call(\\n self.base_client.call_api,\\n resource_path=resource_path,\\n method=method,\\n header_params=header_params,\\n response_type=\\\"list[Region]\\\")\\n else:\\n return self.base_client.call_api(\\n resource_path=resource_path,\\n method=method,\\n header_params=header_params,\\n response_type=\\\"list[Region]\\\")\",\n \"def getStudyRegions():\\n comp_name = os.environ['COMPUTERNAME']\\n conn = py.connect('Driver=ODBC Driver 11 for SQL Server;SERVER=' +\\n comp_name + '\\\\HAZUSPLUSSRVR; UID=SA;PWD=Gohazusplus_02')\\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\\n cursor = conn.cursor()\\n cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \\n for state in cursor:\\n exclusionRows.append(state[0])\\n cursor = conn.cursor()\\n cursor.execute('SELECT * FROM sys.databases')\\n studyRegions = []\\n for row in cursor:\\n if row[0] not in exclusionRows:\\n studyRegions.append(row[0])\\n studyRegions.sort(key=lambda x: x.lower())\\n return studyRegions\",\n \"def get_regions(self,online=False):\\n clients = HWIOS.pb_server.get_clients()\\n regions = []\\n for client in clients:\\n for service in client.region_services:\\n if online: \\n if service['status'] == 'ON':\\n for region in service['regions']:\\n regions.append(region)\\n else:\\n for region in service['regions']:\\n region['status'] = service['status']\\n regions.append(region)\\n return regions\",\n \"def regions(self) -> Optional[Sequence['outputs.GetTrafficPolicyDocumentRuleRegionResult']]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"regions\\\")\",\n \"def get_all_reservations(config):\\n reservations = []\\n region_list = regions(aws_access_key_id=config.keys.api,\\n aws_secret_access_key=config.keys.secret)\\n for region in region_list:\\n _logger.info(\\\"Searching %s\\\", region)\\n cnx = region.connect(aws_access_key_id=config.keys.api,\\n aws_secret_access_key=config.keys.secret)\\n for reservation in cnx.get_all_instances():\\n _logger.info(\\\"Found %s %s\\\", reservation,\\n [str(i.id) for i in reservation.instances])\\n reservations.append(reservation)\\n return reservations\",\n \"def region_clients(self, **kwargs):\\n return stats.region_clients(self._host, self._session, **kwargs)\",\n \"def getStudyRegions(self):\\n exclusionRows = ['master', 'tempdb', 'model', 'msdb', 'syHazus', 'CDMS', 'flTmpDB']\\n self.cursor.execute('SELECT [StateID] FROM [syHazus].[dbo].[syState]') \\n for state in self.cursor:\\n exclusionRows.append(state[0])\\n query = 'SELECT * FROM sys.databases'\\n df = pd.read_sql(query, self.conn)\\n studyRegions = df[~df['name'].isin(exclusionRows)]['name']\\n studyRegions = studyRegions.reset_index()\\n studyRegions = studyRegions.drop('index', axis=1)\\n self.studyRegions = studyRegions\\n return studyRegions\",\n \"def get_regions(self):\\n if self.initiated is False:\\n raise RuntimeError(\\\"Initiate first\\\")\\n\\n return self.R\",\n \"def get_valid_regions(self):\\n pass\",\n \"def list_regions():\\n regions_areas = (\\n db.session.query(\\n models.Region.code.label(\\\"region_code\\\"),\\n models.Region.name.label(\\\"region_name\\\"),\\n db.case([(models.District.code.is_(None),\\n db.literal_column(\\\"'admin_area'\\\"))],\\n else_=db.literal_column(\\\"'district'\\\")).label(\\\"area_type\\\"),\\n db.case([(models.District.code.is_(None), models.AdminArea.code)],\\n else_=models.District.code).label(\\\"area_code\\\"),\\n db.case([(models.District.code.is_(None), models.AdminArea.name)],\\n else_=models.District.name).label(\\\"area_name\\\")\\n ).select_from(models.Region)\\n .join(models.Region.areas)\\n .outerjoin(models.AdminArea.districts)\\n .filter(models.Region.code != \\\"GB\\\")\\n .order_by(\\\"region_name\\\", \\\"area_name\\\")\\n .all()\\n )\\n regions = {}\\n areas = {}\\n for row in regions_areas:\\n regions[row.region_code] = row.region_name\\n areas.setdefault(row.region_code, []).append(row)\\n\\n return render_template(\\\"regions.html\\\", regions=regions, areas=areas)\",\n \"def regions(self):\\n\\n class RegionIter(object):\\n def __init__(self, region_based):\\n self._region_based = region_based\\n\\n def __len__(self):\\n return self._region_based._region_len()\\n\\n def __iter__(self):\\n return self()\\n\\n def _fix_chromosome(self, regions):\\n for r in regions:\\n r.fix_chromosome(copy=True)\\n\\n def __call__(self, key=None, *args, **kwargs):\\n fix_chromosome = kwargs.pop('fix_chromosome', False)\\n\\n if key is None:\\n iterator = self._region_based._region_iter(*args, **kwargs)\\n else:\\n if isinstance(key, string_types) or isinstance(key, GenomicRegion):\\n iterator = self._region_based.region_subset(key, *args, **kwargs)\\n else:\\n iterator = self._region_based._get_regions(key, *args, **kwargs)\\n\\n if fix_chromosome:\\n return self._fix_chromosome(iterator)\\n else:\\n return iterator\\n\\n def __getitem__(self, item):\\n if isinstance(item, string_types) or isinstance(item, GenomicRegion):\\n return self._region_based.region_subset(item)\\n return self._region_based._get_regions(item)\\n\\n return RegionIter(self)\",\n \"def ListRegions(self):\\n project = properties.VALUES.core.project.GetOrFail()\\n request = self.messages.CloudfunctionsProjectsLocationsListRequest(\\n name='projects/' + project\\n )\\n return list_pager.YieldFromList(\\n service=self.client.projects_locations,\\n request=request,\\n field='locations',\\n batch_size_attribute='pageSize',\\n )\",\n \"def RegionList(self):\\n command = \\\"\\\"\\\"\\n IPython.notebook.kernel.execute(\\\"RegionList=\\\" + JSON.stringify(JS9.GetShapes(\\\"regions\\\", {{display: '{wid}JS9'}})));\\n \\\"\\\"\\\".format(wid=self.wid)\\n get_ipython().run_cell_magic('javascript', '', command)\",\n \"def get_snapshots(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_snapshots = conn.get_all_snapshots(owner='self')\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_snapshots\",\n \"def scope(self) -> List[Region]:\\n return [self]\",\n \"def get_regions_in_partition(self, prefix=None, delimiter='/'):\\n if prefix is None:\\n prefix = self.s3_path\\n else:\\n prefix = self._strip_slashes(prefix)\\n\\n query_params = {\\n 'Bucket': self.s3_bucket,\\n 'Prefix': prefix + '/',\\n 'Delimiter': delimiter\\n }\\n\\n # We currently should be able to get all regions in a single request\\n # TODO: Fail if we get a next token - there's more to this prefix than meets the eye\\n region_list = []\\n response = self.s3_client.list_objects_v2(**query_params)\\n for c_prefix in response.get('CommonPrefixes', []):\\n region = self._extract_region_from_prefix(c_prefix)\\n if region:\\n region_list.append(region)\\n\\n return region_list\",\n \"def get_all_db_region(self, context):\\n zone_objs = self.dns_manager.get_all_db_region(context)\\n return zone_objs\",\n \"def DescribeAccessRegions(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeAccessRegions\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeAccessRegionsResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def get_instances(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_instances = []\\n reservations = conn.get_all_reservations()\\n for reservation in reservations:\\n for instance in reservation.instances:\\n region_instances.append(instance)\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_instances\",\n \"def get_all_in_region(self, cloud_account_id: str, region_id: str) -> List[Dict]:\\n\\t\\tquery_parameters = {'cloudAccountId': cloud_account_id, 'regionId': region_id}\\n\\t\\treturn self._get(route=AWSSecurityGroupConsts.CLOUD_SECURITY_GROUP.value, params=query_parameters)\",\n \"def get_regions():\\n\\n # Also known as the 'climbing directory'\\n route_guide = urlopen('https://www.mountainproject.com/route-guide',\\n context=ctx)\\n # Opens HTML\\n region_html = route_guide.read()\\n # Parses HTML with BS package\\n region_soup = BeautifulSoup(region_html, 'html.parser')\\n # Finds regions area of the page\\n regions = region_soup.find('div', id='route-guide')\\\\\\n .find_all('div', class_='mb-half')\\n\\n for region in regions:\\n # Link to region area guide\\n url = region.find('a')['href']\\n # English name of region\\n region_name = region.find('a').get_text()\\n # Writes region name and url to Areas DB. This gives the region a\\n # unique id automatically\\n cursor.execute('''\\n INSERT INTO Areas(url, name)\\n VALUES ('%s', '%s')\\n ON CONFLICT DO NOTHING\\n ''' % (url, region_name))\\n # Commits to DB\\n conn.commit()\",\n \"def region(self):\\n return [node.region for node in self]\",\n \"def region(self):\\n return regions.lookup(self.state)\",\n \"def ls(region_name=DEFAULT_REGION):\\n s3conn = s3.connect_to_region(region_name)\\n buckets = s3conn.get_all_buckets()\\n for bucket in buckets:\\n print(bucket.name)\",\n \"def regions(self):\\n regions = set()\\n for report in self._reports:\\n region = report.model.region\\n if region is None or region in regions:\\n continue\\n yield region\",\n \"def get_db_regions(self, context, regions):\\n regions_objs = self.dns_manager.get_db_regions(context, regions)\\n return regions_objs\",\n \"def scope(self) -> List[Region]:\\n return self._scope\",\n \"def _get_available_region_options():\\n available_regions = sorted(_get_available_regions())\\n options = [ConfigurationOption(region, region) for region in available_regions]\\n\\n return options\",\n \"def describe_regions(\\n self,\\n request: dds_20151201_models.DescribeRegionsRequest,\\n ) -> dds_20151201_models.DescribeRegionsResponse:\\n runtime = util_models.RuntimeOptions()\\n return self.describe_regions_with_options(request, runtime)\",\n \"def lookups(self, request, model_admin):\\r\\n list_of_regions = []\\r\\n queryset = Region.objects.filter(parent__isnull=True).order_by(\\\"name\\\")\\r\\n for region in queryset:\\r\\n list_of_regions.append((str(region.id), region.name))\\r\\n return list_of_regions\",\n \"def get_all_regions(self, region_names=None, filters=None):\\r\\n params = {}\\r\\n if region_names:\\r\\n self.build_list_params(params, region_names, 'RegionName')\\r\\n if filters:\\r\\n self.build_filter_params(params, filters)\\r\\n regions = self.get_list('DescribeRegions', params,\\r\\n [('item', RegionInfo)], verb='POST')\\r\\n for region in regions:\\r\\n region.connection_cls = EC2Connection\\r\\n return regions\",\n \"def get_images(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_images = conn.get_all_images(owners=['self'])\\n except boto.exception.EC2ResponseError:\\n return []\\n return region_images\",\n \"def regions_by_tag(self, *tags: str) -> Iterable[str]:\\n node = self.shards_xml(\\\"regionsbytag\\\", tags=\\\",\\\".join(tags))[\\\"regions\\\"]\\n text = node.text if node.text else \\\"\\\"\\n return text.split(\\\",\\\")\",\n \"def get_regions(locale):\\n\\n def json_file(name):\\n return os.path.join(json_dir, 'regions', '%s.json' % name)\\n\\n filepath = json_file(locale)\\n\\n if not os.path.exists(filepath):\\n filepath = json_file('en-US')\\n if not os.path.exists(filepath):\\n raise Exception('Unable to load region data')\\n\\n with codecs.open(filepath, encoding='utf8') as fd:\\n return json.load(fd)\",\n \"def _get_global_table_all_regions(table_name: str) -> List[dict]:\\n description = _describe_table(table_name=table_name)\\n replicas = description['Table'].get('Replicas', [])\\n return replicas\",\n \"def GetWorldRegions():\\n return GetDataFromCsvFile('world_regions.csv')\",\n \"def get_regionlist(chosenmodel):\\n regionlist = list(chosenmodel.regions.keys())\\n [ regionlist.remove(key) for key in regionlist\\n if type(chosenmodel.regions[key]) is dict ]\\n return regionlist\",\n \"def test_api_regions(self):\\n # load api base\\n r = requests.get('{server}/api/0.1/'.format(\\n server=self.get_server_url())).json()\\n # load regions from url specified in api base\\n r = requests.get(r['regions']).json()\\n self.assertIn('count', r)\\n self.assertIn('next', r)\\n self.assertIn('prev', r)\\n self.assertIn('regions', r)\",\n \"def vpc_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"vpc_region\\\")\",\n \"def get_aws_reserved_networks(region=None, all_regions=False):\\n result = []\\n if all_regions:\\n for aws_region in get_aws_regions_list():\\n for vpc in boto3.client('ec2', region_name=aws_region).describe_vpcs()['Vpcs']:\\n result.append(vpc)\\n else:\\n result = boto3.client('ec2', region_name=region).describe_vpcs()['Vpcs']\\n\\n vpc_used_cidr_list = []\\n for vpc in result:\\n vpc_used_cidr_list.append(PyVPCBlock(network=ipaddress.ip_network(vpc['CidrBlock']),\\n resource_id=vpc['VpcId'],\\n name=get_aws_resource_name(vpc),\\n resource_type='vpc'))\\n return vpc_used_cidr_list\",\n \"def test_aws_service_api_availability_zones_get(self):\\n pass\",\n \"def getregion(self, *args, **kwargs):\\n return _image.image_getregion(self, *args, **kwargs)\",\n \"def source_region_ids(self) -> pulumi.Output[Optional[Sequence[str]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def list_rds(region, filter_by_kwargs):\\n conn = boto.rds.connect_to_region(region)\\n instances = conn.get_all_dbinstances()\\n return lookup(instances, filter_by=filter_by_kwargs)\",\n \"def DescribeAccessRegionsByDestRegion(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeAccessRegionsByDestRegion\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeAccessRegionsByDestRegionResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def read_regions(namefile):\\n db = shelve.open(namefile)\\n key_firms = db['nif']\\n regions = db['regions']\\n methodvalues = db['methodvalues']\\n db.close()\\n return key_firms, regions, methodvalues\",\n \"def getImages(region):\\n creds = credentials()\\n try:\\n conn = ec2.connect_to_region(region, **creds)\\n images = conn.get_all_images(owners=['self'])\\n except boto.exception.EC2ResponseError:\\n return []\\n return images\",\n \"async def describe_regions_async(\\n self,\\n request: dds_20151201_models.DescribeRegionsRequest,\\n ) -> dds_20151201_models.DescribeRegionsResponse:\\n runtime = util_models.RuntimeOptions()\\n return await self.describe_regions_with_options_async(request, runtime)\",\n \"def operating_regions(self) -> pulumi.Output[Optional[Sequence['outputs.IpamOperatingRegion']]]:\\n return pulumi.get(self, \\\"operating_regions\\\")\",\n \"def getRegions(self, clearCache=False):\\n if clearCache:\\n self._regionCache = None\\n if self._regionCache is not None:\\n return self._regionCache\\n\\n self.lock.acquire()\\n\\n regions = []\\n self._regionsByName = {}\\n\\n # Iterate over all descriptors (even numbered regions)\\n for index in range(0, MAX_REGIONS, 2):\\n def storeDescriptor(descriptor, index=index):\\n size = struct.unpack(\\\"<I\\\", descriptor[:4])[0]\\n name = descriptor[4:].split('\\\\x00')[0]\\n if name:\\n region = Region(index + 1, size, name)\\n regions.append(region)\\n self._regionsByName[name] = region\\n\\n # Send the command the low-level way, since we already have the lock.\\n self.recv.queue.put((MAX_DESCRIPTOR_LEN, storeDescriptor))\\n self.send.queue.put(opSetRegion(index) + opReadLongs(MAX_DESCRIPTOR_LEN))\\n\\n self.recv.queue.join()\\n self._regionCache = regions\\n\\n self.lock.release()\\n return regions\",\n \"def get_regionlist_of_componentgroup(chosenmodel, componentgroup_name):\\n return list(chosenmodel.regions[componentgroup_name].keys())\",\n \"def DescribeDestRegions(self, request):\\n try:\\n params = request._serialize()\\n headers = request.headers\\n body = self.call(\\\"DescribeDestRegions\\\", params, headers=headers)\\n response = json.loads(body)\\n model = models.DescribeDestRegionsResponse()\\n model._deserialize(response[\\\"Response\\\"])\\n return model\\n except Exception as e:\\n if isinstance(e, TencentCloudSDKException):\\n raise\\n else:\\n raise TencentCloudSDKException(type(e).__name__, str(e))\",\n \"def region(self, args):\\n m = MessageClass()\\n print('123124')\\n data = {'list': []}\\n data['list'].append({\\\"Region_Name\\\": \\\"us-east-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-east-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-west-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"us-west-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-northeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-northeast-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-south-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-southeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ap-southeast-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"ca-central-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-central-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-1\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-2\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"eu-west-3\\\"})\\n data['list'].append({\\\"Region_Name\\\": \\\"sa-east-1\\\"})\\n m.data = data\\n return m.to_json()\",\n \"def get_region(self):\\n return self.creds.get('region_name')\",\n \"def endpoint_group_region(self) -> pulumi.Output[str]:\\n return pulumi.get(self, \\\"endpoint_group_region\\\")\",\n \"def load_all_countries(self):\\n core = self.core\\n regionNodes = core.load_children(self.META[\\\"Countries\\\"])\\n countryNodes = []\\n if regionNodes:\\n for regionNode in regionNodes:\\n if core.get_base_type(regionNode) == self.META[\\\"Region\\\"]:\\n countryNodes += core.load_children(regionNode)\\n return countryNodes\\n else:\\n print(\\\"There are no regions in the database\\\")\",\n \"def listPredefinedRegions(self):\\n\\n res = self._Client__proxy.listPredefinedRegions(\\n self._Client__session)\\n\\n self.checkResult(res)\\n return res[\\\"predefinedRegions\\\"]\",\n \"def region(self):\\n return self.config.region\",\n \"def list_internet_gateways(\\n profile_name: str = 'terraform',\\n region_name: str = 'us-east-1'\\n) -> [str]:\\n session = boto3.Session(profile_name=profile_name)\\n client = session.client(service_name='ec2', region_name=region_name)\\n elements = client.describe_internet_gateways()\\n _lines = []\\n for element in elements['InternetGateways']:\\n x = InternetGateway(element['InternetGatewayId'])\\n x.vpc_id = element['Attachments'][0]['VpcId']\\n x.tags = element['Tags']\\n _lines.append(x)\\n return _lines\",\n \"def get_zones(region=None, key=None, keyid=None, profile=None):\\n conn = _get_conn(region=region, key=key, keyid=keyid, profile=profile)\\n\\n return [z.name for z in conn.get_all_zones()]\",\n \"def regions_dict(self):\\n regions_dict = dict()\\n for i, r in enumerate(self.regions):\\n regions_dict[getattr(r, 'ix', i)] = r\\n return regions_dict\",\n \"def region(self):\\n if self._region is None:\\n cache_key = self.expand_name(\\\"region\\\")\\n cached = unitdata.kv().get(cache_key)\\n if cached:\\n self._region = cached\\n else:\\n req = self._imdv2_request(self._az_url)\\n with urlopen(req) as fd:\\n az = fd.read(READ_BLOCK_SIZE).decode(\\\"utf8\\\")\\n self._region = az.rstrip(string.ascii_lowercase)\\n unitdata.kv().set(cache_key, self._region)\\n return self._region\",\n \"def azs_lookup(session, lambda_compatible_only=False):\\n if session is None:\\n return []\\n\\n client = session.client('ec2')\\n response = client.describe_availability_zones()\\n # SH Removing Hack as subnet A is already in Production and causes issues trying to delete\\n # We will strip out subnets A and C when creating the lambdas.\\n #rtn = [(z[\\\"ZoneName\\\"], z[\\\"ZoneName\\\"][-1]) for z in response[\\\"AvailabilityZones\\\"] if z['ZoneName'] != 'us-east-1a']\\n rtn = [(z[\\\"ZoneName\\\"], z[\\\"ZoneName\\\"][-1]) for z in response[\\\"AvailabilityZones\\\"]]\\n\\n if lambda_compatible_only:\\n current_account = get_account_id_from_session(session)\\n for az in rtn.copy():\\n if az[1] == 'c' and current_account == hosts.PROD_ACCOUNT:\\n rtn.remove(az)\\n if az[1] == 'a' and current_account == hosts.DEV_ACCOUNT:\\n rtn.remove(az)\\n return rtn\",\n \"def whitelist_regions(self):\\n return getattr(self, '_do_whitelist_regions', False)\",\n \"def listInstancesRegionZone(region,zone):\\n\\tprint \\\"-\\\"*80\\n\\tprint \\\"# Region :\\\",region,\\\" Zone\\\", zone\\t\\n\\tprint \\\"-\\\"*80\\n\\tinstances = getInstancesRegionZone(region,zone)\\n\\tif instances:\\n\\t\\tfor instance in instances:\\n\\t\\t\\tprint \\\"[\\\",instance.ami_launch_index,\\\"]\\\",instance.ip_address,\\\" (\\\",instance.private_ip_address,\\\") \\\",instance.instance_type,\\\" key=\\\",instance.key_name\",\n \"def get_region_dict(self):\\n if self.initiated is False:\\n raise RuntimeError(\\\"Initiate first\\\")\\n\\n return self._region_dict\",\n \"def get_transcript_regions(self, transcriptId):\\n\\n regions = self.get_regions('exon')\\n transcriptRegions = []\\n for region in regions:\\n if region.transcriptId == transcriptId:\\n transcriptRegions.append(region)\\n return transcriptRegions\",\n \"def get_region_services(self,format=None):\\n clients = HWIOS.pb_server.get_clients()\\n region_services = []\\n for client in clients:\\n region_services.extend(client.region_services)\\n #for django forms\\n if format == 'tuple':\\n tuple_list = []\\n for region_service in region_services:\\n tuple_list.append((region_service['uuid'],region_service['name']))\\n return tuple_list\\n return region_services\",\n \"def region(self):\\n return self._get(\\\"region\\\")\",\n \"def list_buckets():\\n for bucket in s3.buckets.all():\\n print(bucket)\",\n \"def operating_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['IpamOperatingRegionArgs']]]]:\\n return pulumi.get(self, \\\"operating_regions\\\")\",\n \"def get(self, request):\\n conn = get_sdk_connection(request)\\n availability_zone_list = _sdk_object_to_list(\\n conn.load_balancer.availability_zones()\\n )\\n\\n return {'items': availability_zone_list}\",\n \"def children(self) -> List[Region]:\\n return []\",\n \"def regions_json(self, filename):\\n with open(filename) as f:\\n return json.load(f)\",\n \"def rendered_regions(self, obj):\\n return obj.render_json(self.context.get('request'))\",\n \"def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def source_region_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:\\n return pulumi.get(self, \\\"source_region_ids\\\")\",\n \"def load_aws_region_name() -> str:\\n session = boto3.session.Session()\\n region_name = (\\n click.get_current_context().params.get(\\\"region\\\") or session.region_name\\n )\\n return region_name\",\n \"def avail_locations(session=None, call=None):\\n # TODO: need to figure out a good meaning of locations in Xen\\n if call == \\\"action\\\":\\n raise SaltCloudException(\\n \\\"The avail_locations function must be called with -f or --function.\\\"\\n )\\n return pool_list()\",\n \"def get_volumes(self, region):\\n try:\\n conn = ec2.connect_to_region(region, **self.credentials)\\n region_volumes = conn.get_all_volumes()\\n except boto.exception.EC2ResponseError:\\n return [] # This better not fail silently or I'll cut a person.\\n return region_volumes\",\n \"def get_all_zones():\\n cf = CloudFlare.CloudFlare(raw=True)\\n page_number = 0\\n total_pages = 1\\n all_zones = []\\n while page_number < total_pages:\\n page_number += 1\\n raw_results = cf.zones.get(params={'per_page':100, 'page':page_number})\\n zones = raw_results['result']\\n all_zones += zones\\n total_pages = raw_results['result_info']['total_pages']\\n return all_zones\",\n \"def get_bucketlist():\\n pass\",\n \"def ffgs_regions():\\n return [\\n ('Hispaniola', 'hispaniola'),\\n ('Central America', 'centralamerica')\\n ]\",\n \"def ReadRegions(self, fname=\\\"temp\\\"):\\n self.fname = fname\\n command = \\\"\\\"\\\"IPython.notebook.kernel.execute('file = open(\\\"temp\\\", \\\"w\\\"); [file.write(x[\\\"wcsstr\\\"]) for x in '+ JSON.stringify(JS9.GetShapes(\\\"regions\\\", {{display: '{wid}JS9'}})) +']; file.close()');\\\"\\\"\\\".format(wid=self.wid)\\n get_ipython().run_cell_magic('javascript', '', command)\",\n \"def region(self) -> str:\\n return pulumi.get(self, \\\"region\\\")\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.8312565","0.779635","0.77942985","0.77942985","0.7289586","0.7272279","0.71950173","0.7140144","0.70876795","0.69920516","0.6973136","0.692615","0.6878461","0.6822473","0.6779286","0.6745307","0.67410904","0.6683353","0.664014","0.6598619","0.65845656","0.65719104","0.65711975","0.65673536","0.64892554","0.64801663","0.6439613","0.6420435","0.6401047","0.64007866","0.639505","0.6384996","0.6370646","0.63652235","0.6356448","0.62927395","0.627321","0.61878794","0.61749566","0.6168414","0.6155335","0.608255","0.6062303","0.6050333","0.6031984","0.60035217","0.5989563","0.5983013","0.591161","0.5883922","0.5882775","0.5842723","0.58391607","0.5813007","0.5810873","0.5798928","0.5797396","0.57929695","0.57811475","0.57782423","0.5777307","0.5755902","0.57420397","0.5738982","0.5728668","0.5728234","0.5718206","0.5695173","0.5688639","0.5686243","0.56831473","0.5667013","0.56665355","0.5612399","0.5612315","0.5601767","0.5580547","0.5580073","0.55715996","0.5556764","0.5535209","0.5527436","0.5499612","0.5489355","0.54797554","0.5470251","0.5467954","0.5465599","0.54629457","0.5452229","0.5449347","0.5449347","0.5448797","0.5441852","0.54281044","0.54222935","0.54175586","0.5406034","0.5404364","0.54041964"],"string":"[\n \"0.8312565\",\n \"0.779635\",\n \"0.77942985\",\n \"0.77942985\",\n \"0.7289586\",\n \"0.7272279\",\n \"0.71950173\",\n \"0.7140144\",\n \"0.70876795\",\n \"0.69920516\",\n \"0.6973136\",\n \"0.692615\",\n \"0.6878461\",\n \"0.6822473\",\n \"0.6779286\",\n \"0.6745307\",\n \"0.67410904\",\n \"0.6683353\",\n \"0.664014\",\n \"0.6598619\",\n \"0.65845656\",\n \"0.65719104\",\n \"0.65711975\",\n \"0.65673536\",\n \"0.64892554\",\n \"0.64801663\",\n \"0.6439613\",\n \"0.6420435\",\n \"0.6401047\",\n \"0.64007866\",\n \"0.639505\",\n \"0.6384996\",\n \"0.6370646\",\n \"0.63652235\",\n \"0.6356448\",\n \"0.62927395\",\n \"0.627321\",\n \"0.61878794\",\n \"0.61749566\",\n \"0.6168414\",\n \"0.6155335\",\n \"0.608255\",\n \"0.6062303\",\n \"0.6050333\",\n \"0.6031984\",\n \"0.60035217\",\n \"0.5989563\",\n \"0.5983013\",\n \"0.591161\",\n \"0.5883922\",\n \"0.5882775\",\n \"0.5842723\",\n \"0.58391607\",\n \"0.5813007\",\n \"0.5810873\",\n \"0.5798928\",\n \"0.5797396\",\n \"0.57929695\",\n \"0.57811475\",\n \"0.57782423\",\n \"0.5777307\",\n \"0.5755902\",\n \"0.57420397\",\n \"0.5738982\",\n \"0.5728668\",\n \"0.5728234\",\n \"0.5718206\",\n \"0.5695173\",\n \"0.5688639\",\n \"0.5686243\",\n \"0.56831473\",\n \"0.5667013\",\n \"0.56665355\",\n \"0.5612399\",\n \"0.5612315\",\n \"0.5601767\",\n \"0.5580547\",\n \"0.5580073\",\n \"0.55715996\",\n \"0.5556764\",\n \"0.5535209\",\n \"0.5527436\",\n \"0.5499612\",\n \"0.5489355\",\n \"0.54797554\",\n \"0.5470251\",\n \"0.5467954\",\n \"0.5465599\",\n \"0.54629457\",\n \"0.5452229\",\n \"0.5449347\",\n \"0.5449347\",\n \"0.5448797\",\n \"0.5441852\",\n \"0.54281044\",\n \"0.54222935\",\n \"0.54175586\",\n \"0.5406034\",\n \"0.5404364\",\n \"0.54041964\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.728351"},"document_rank":{"kind":"string","value":"5"}}},{"rowIdx":1797,"cells":{"query":{"kind":"string","value":"Initializes a read operation from Debezium."},"document":{"kind":"string","value":"def __init__(\n self,\n connector_class,\n username,\n password,\n host,\n port,\n max_number_of_records=None,\n connection_properties=None,\n expansion_service=None):\n self.params = ReadFromDebeziumSchema(\n connector_class=connector_class.value,\n username=username,\n password=password,\n host=host,\n port=port,\n max_number_of_records=max_number_of_records,\n connection_properties=connection_properties)\n self.expansion_service = expansion_service or default_io_expansion_service()"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def __init__(self):\n\n self.reader = reader.Reader()","def read(self):\n pass","def read(self):","def read(self):\n raise NotImplementedError","def read():\n # TODO","def read(self):\n pass","def read(self, **kwargs):\n pass","def _read_data(self):","def read(self, *args, **kwargs):\n pass","def Read(self, *args, **kwargs):\n pass","def __init__ (self, istream) :\r\n ReaderA.__init__(self) # call parent\r\n self.is_ = istream\r\n self.cached_ = CircularBuffer(132, True)","def __init__(self, run):\n dict.__init__(self)\n self.read(run)","def read(self):\n self.attributes = self.call('READ', expect=error.OK)","def __init__(self, filename, mode, version='2.0'):\n if mode.startswith('r'):\n try:\n with open(filename, 'r') as f:\n firstline = next(f)\n if not firstline.startswith('#INPORB'):\n raise InvalidRequest\n except:\n raise InvalidRequest\n\n self.f = open(filename, mode)\n\n if mode.startswith('r'):\n line = self.seek_line('#INPORB')\n self.version = line.split()[1]\n self.seek_line('#INFO')\n uhf, self.n_sym, self.wfn_type = (int(val) for val in self._next_noncomment().split())\n if uhf == 1:\n self.unrestricted = True\n else:\n self.unrestricted = False\n self.n_bas = np.array(self._next_noncomment().split(), dtype=np.int)\n self.n_orb = np.array(self._next_noncomment().split(), dtype=np.int)\n elif mode.startswith('w'):\n self.version = version\n else:\n raise Exception('invalid mode string')\n\n if self.version == '2.0':\n self.read_block = self._read_block_v20\n self.occ_fmt = ' {:7.4f}'\n self.one_fmt = ' {:11.4e}'\n self.orb_fmt = ' {:21.14e}'\n self.occ_blk_size = 10\n self.one_blk_size = 10\n self.orb_blk_size = 5\n elif self.version == '1.1':\n self.read_block = self._read_block_v11\n self.occ_fmt = '{:18.11e}'\n self.one_fmt = '{:18.11e}'\n self.orb_fmt = '{:18.11e}'\n self.occ_blk_size = 4\n self.one_blk_size = 4\n self.orb_blk_size = 4\n else:\n raise Exception('invalid version number')","def init_edra(self) -> None:\n ...","def __init__ (self, input) :\r\n ReaderA.__init__(self) # call parent\r\n # print '************************* input = ', input, type(input)\r\n self.buffer_ = input # this is any thing that can be indexed\r\n self.current_ = 0","def __init__(self):\n self.read_input()\n self.update_binaries()","def __init__(self, starting_point=-1):\n self.i_read = starting_point\n self.data = [['fake_chip_id', 'fake_version'],\n [96, 110, 203, 104, 50, 0, 29, 145, 59, 215, 208, 11,\n 232, 38, 42, 255, 249, 255, 172, 38, 10, 216, 189, 16],\n [75],\n [129, 1, 0, 16, 44, 3, 30],\n [76, 60, 128, 129, 49, 128, 94, 120]]","def read(cls, proto):\n pass","def readOneData(self):\n\t\tpass","def read_data(self):\n raise NotImplementedError","def _read_into_buffer(self):\n raise NotImplementedError()","def __init__(self, ase):\n self.bin = open(ase, 'rb')","def read(self) -> bytes | None:","def read(self) -> bytes | None:","def read(self, size=-1):\n ...","def init(self) -> None:","def ReadObject(self, *args, **kwargs):\n pass","def getReader(self):\n return Tes3Reader(self.inName,cStringIO.StringIO(self.data))","def __init__(self, data=b''):\n self.data = data\n self.offset = 0","def __init__(self, name):\n self.fisica = fisica(name)\n self.rx = RX(self.fisica)\n self.tx = TX(self.fisica)\n self.connected = False","def _read(self, in_file):\n #\n # I know this function is long, but the FRD block is long as well...\n # Splitting this into multiple functions would not help in my opinion.\n # Therefore -> shut up pylint\n # pylint: disable=too-many-branches\n # pylint: disable=too-many-statements\n #\n self.setname = in_file.read(6).decode().strip()\n self.value = float(in_file.read(12))\n self.numnod = int(in_file.read(12))\n self.text = in_file.read(20).decode().strip()\n self.ictype = int(in_file.read(2))\n self.numstep = int(in_file.read(5))\n self.analys = in_file.read(10).decode().strip()\n self.format = int(in_file.read(2))\n in_file.read(1) # eol\n\n in_file.read(1) # pad byte\n in_file.read(2) # key = -4\n in_file.read(2) # pad bytes\n self.name = in_file.read(8).decode().strip()\n self.ncomps = int(in_file.read(5))\n self.irtype = int(in_file.read(5))\n if self.irtype != 1:\n raise NotImplementedError()\n in_file.read(1) # eol\n\n for i in range(self.ncomps):\n entity = FRDEntity()\n self.entities.append(entity)\n\n in_file.read(1) # pad byte\n entity.key = int(in_file.read(2))\n in_file.read(2) # pad bytes\n entity.name = in_file.read(8).decode().strip()\n entity.menu = int(in_file.read(5))\n entity.ictype = int(in_file.read(5))\n entity.icind1 = int(in_file.read(5))\n if entity.ictype == 4:\n entity.icind2 = int(in_file.read(5))\n elif entity.ictype == 2 and i == 3:\n entity.icind2 = int(in_file.read(5))\n entity.iexist = int(in_file.read(5))\n entity.icname = in_file.read(3).decode().strip()\n self.ncomps -= 1\n else:\n entity.iexist = int(in_file.read(5))\n in_file.read(1) # eol\n\n for i in range(self.numnod):\n result = FRDNodeResult()\n self.results.append(result)\n if self.format < 2:\n num_lines = int(self.ncomps/(6 + 1)) + 1\n result.data = []\n for j in range(num_lines):\n in_file.read(3) # pad byte and key = -1 || -2\n if result.node is None:\n result.node = int(in_file.read(5*(self.format+1)))\n else:\n in_file.read(5*(self.format+1))\n k_start = j*6\n k_end = min(self.ncomps - k_start, (j+1)*6)\n for _ in range(0, k_end):\n result.data.append(float(in_file.read(12)))\n in_file.read(1) # eol\n else:\n result.node = struct.unpack('i', in_file.read(4))[0]\n result.data = struct.unpack(\n 'f'*self.ncomps, in_file.read(self.ncomps*4))\n\n if self.format < 2:\n in_file.readline() # last record for ascii only","def read(self) -> int:\n ...","def __init__(self, *args, **kwargs):\n super(Decoder, self).__init__(*args, **kwargs)\n self.stream.seek(0)\n self._code = 0","def __init__(self, fileref):\n self.__ref = fileref\n self.__lib = _zlib.decompressobj(memLevel=9)\n self.__buf = b''","def test_fooreader():\n from .context import readersender\n\n fr = readersender.readers.FooReader()\n\n fr.connect()\n fr.read()\n fr.disconnect()","def __init__(self):\n self.reader = vtk.vtkImageData()\n\n self.dims = self.reader.GetDimensions()\n self.bounds = self.reader.GetBounds()\n self.spacing = self.reader.GetSpacing()\n self.origin = self.reader.GetOrigin()\n self.value_range = self.reader.GetScalarRange()\n\n # self.plane_widget_x = vtk.vtkImagePlaneWidget()\n # self.plane_widget_y = vtk.vtkImagePlaneWidget()\n # self.plane_widget_z = vtk.vtkImagePlaneWidget()\n\n self.flag_read = False","def lazy_read_file(self):\n store = zarr.DirectoryStore(self.fpath)\n z_array = zarr.open(store=store, mode='r')\n self.da_input = da.from_array(z_array)\n self.data = self.da_input\n self.data_dim = self.data.shape\n self.chunk_size = z_array.chunks","def __init__(self, data):\n self.data = data\n self.writing = False\n self.readerCount = 0\n self.okToRead = Condition()\n self.okToWrite = Condition()","def __init__(self):\n\n self.read_input_file()\n self.read_simulation_files()","def __init__(self, filename='', use_cython=True, raw=None):\n \n if raw and not filename:\n # Load raw data exterinally\n self.raw = raw\n return\n \n # Defaults to cython reader if user selects it\n if use_cython and cython_loaded:\n self.raw = _reader.Read(filename)\n\n # Python reader for debug purposes\n else:\n self.raw = PythonReader.Read(filename)","def __init__(self):\n #---+----|----+----|----+----|----+----|----+----|----+----|----+----|\n NexusReaderBase.__init__(self, -1)\n self.taxa = None\n self._data_matrices = None","def _OpenRead(self):\n has_storage_metadata = self._ReadStorageMetadata()\n if not has_storage_metadata:\n # TODO: remove serializer.txt stream support in favor\n # of storage metadata.\n if self._read_only:\n logging.warning('Storage file does not contain a metadata stream.')\n\n stored_serialization_format = self._ReadSerializerStream()\n if stored_serialization_format:\n self.serialization_format = stored_serialization_format\n\n if self.serialization_format != definitions.SERIALIZER_FORMAT_JSON:\n raise IOError('Unsupported serialization format: {0:s}'.format(\n self.serialization_format))\n\n self._serializer = json_serializer.JSONAttributeContainerSerializer\n\n for container_type, stream_name_prefix in (\n self._STREAM_NAME_PREFIXES.items()):\n stream_name_prefix = '{0:s}_data.'.format(stream_name_prefix)\n self._last_stream_numbers[container_type] = self._GetLastStreamNumber(\n stream_name_prefix)\n\n self._analysis_report_stream_number = self._GetLastStreamNumber(\n 'analysis_report_data.')\n self._last_preprocess = self._GetLastStreamNumber('preprocess.')\n\n last_session_start = self._GetLastStreamNumber('session_start.')\n last_session_completion = self._GetLastStreamNumber('session_completion.')\n\n # TODO: handle open sessions.\n if last_session_start != last_session_completion:\n logging.warning('Detected unclosed session.')\n\n self._last_session = last_session_completion\n\n last_task_start = self._GetLastStreamNumber('task_start.')\n last_task_completion = self._GetLastStreamNumber('task_completion.')\n\n # TODO: handle open tasks.\n if last_task_start != last_task_completion:\n logging.warning('Detected unclosed task.')\n\n self._last_task = last_task_completion","def __init__(self, blob=None):\n if blob is None:\n self.versionCode = '0'\n self.data = {}\n else:\n self.versionCode = blob[0]\n encoded = blob[1:]\n compressed = base64.b64decode(encoded)\n self.data = json.loads(zlib.decompress(compressed))","def _init_before_open(self, read_meth='read', open_as_binary=True, **kwargs):\n super(FileComm, self)._init_before_open(**kwargs)\n # Process file class keywords\n if not hasattr(self, '_fd'):\n self._fd = None\n if read_meth not in ['read', 'readline']:\n raise ValueError(\"read_meth '%s' not supported.\" % read_meth)\n self.read_meth = read_meth\n self.platform_newline = platform._newline\n if self.in_temp:\n self.address = os.path.join(tempfile.gettempdir(), self.address)\n self.address = os.path.abspath(self.address)\n self.open_as_binary = open_as_binary\n self._series_index = 0\n # Put string attributes in the correct format\n if self.open_as_binary:\n func_conv = backwards.as_bytes\n else:\n func_conv = backwards.as_unicode\n for k in self._attr_conv:\n v = getattr(self, k)\n if v is not None:\n setattr(self, k, func_conv(v))","def reader(self):\n return self._r","def __init__(self, in_file=None):\n self.key = 3\n self.code = 'C'\n self.numelem = None\n self.format = None\n self.elems = []\n if in_file is not None:\n self._read(in_file)","def __init__(self, buf=None):\n if buf:\n self.unpack(buf)","def __init__(self):\n self.buffer = bytearray()","def read(cls, reader: UFOReader) -> \"Info\":\n self = cls()\n reader.readInfo(self)\n return self","def read(self):\r\n return RecordIO.Reader.do_read(self._fp, self._codec)","def init(self):\n raise NotImplementedError","def init(self):\n raise NotImplementedError","def __init__(self, *args, **kwargs):\n logger.debug(\"SlokaReader: Initialize\")\n super(SlokaReader, self).__init__(*args, **kwargs)","def __init__(self):\n \n # Initialize logger\n self._log = logging.getLogger(\"OemGateway\")\n \n # Initialize variables\n self._data_buffer = []\n self._settings = {}","def _readtag(self):\n tag = Tag()\n tag.tag = self.reader.readint(1)\n tag.len = self.reader.readint(2)\n\n if tag.len > 0:\n tag.data = self.reader.read(tag.len)\n return tag","def initialize(self):\n self.lib.Initialize()\n\n self.triggers = {'Internal': 0, 'External': 1, 'External Start': 6,\n 'External Exposure': 7, 'External FVB EM': 9,\n 'Software Trigger': 10,\n 'External Charge Shifting': 12}\n self.savetypes = {'Signed16bits': 1, 'Signed32bits': 2, 'Float': 3}\n\n # Initial values\n\n self.readout_packing_state = False\n self.readout_packing = self.readout_packing_state\n\n self.readout_mode_mode = 'Image'\n self.readout_mode = self.readout_mode_mode\n\n self.photon_counting_mode_state = False\n self.photon_counting_mode = self.photon_counting_mode_state\n\n self.frame_transfer_mode_state = False\n self.frame_transfer_mode = self.frame_transfer_mode_state\n\n self.fan_mode_index = 'onfull'\n self.fan_mode = self.fan_mode_index\n\n self.EM_gain_mode_index = 'RealGain'\n self.EM_gain_mode = self.EM_gain_mode_index\n\n self.cooled_on_shutdown_value = False\n self.cooled_on_shutdown = self.cooled_on_shutdown_value\n\n self.baseline_offset_value = 100\n self.baseline_offset = self.baseline_offset_value\n\n self.adv_trigger_mode_state = True\n self.adv_trigger_mode = self.adv_trigger_mode_state\n\n self.acq_mode = 'Single Scan'\n self.acquisition_mode = self.acq_mode\n\n self.amp_typ = 0\n\n self.horiz_shift_speed_index = 0\n self.horiz_shift_speed = self.horiz_shift_speed_index\n\n self.vert_shift_speed_index = 0\n self.vert_shift_speed = self.vert_shift_speed_index\n\n self.preamp_index = 0\n self.preamp = self.preamp_index\n\n self.temperature_sp = 0 * degC\n self.temperature_setpoint = self.temperature_sp\n\n self.auxout = np.zeros(4, dtype=bool)\n for i in np.arange(1, 5):\n self.out_aux_port[i] = False\n\n self.trigger_mode_index = 'Internal'\n self.trigger_mode = self.trigger_mode_index","def read(self) -> Optional[bytes]:","def __init__(self, geo_model=None):\n self.rex_bytes = bytearray()\n self.n_bytes = 0\n\n self.data_id = 0\n self.geo_model = geo_model","def read(self, read):\n\n self._read = read","def __init__(self, filename, offset):\r\n self.__input__ = open(filename, 'rb')\r\n self.__input__.seek(offset, FROM_START)","def _init(self):\n raise NotImplementedError","async def read(self, *, decode: bool = ...) -> bytes:\n ...","def read(self) -> bytes:\n pass","def deserialize(self, instream):\n\n raise Exception(\"Not implemented!\"+self.__class__)","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def init(self):\n pass","def _read_v1(self):\n return self.usb_dev.read(self.ep_in, self.rdbuf_chunksize, self.interface, self.usb_rd_timeout)","def read_raw_data(self):\n # Must be set by the user\n raise Exception(\"not implemented\")","def load(self,ins=None,unpack=False):\n name = self.name\n #--Read, but don't analyze.\n if not unpack:\n self.data = ins.read(self.size,name)\n #--Read and analyze ins.\n elif ins:\n inPos = ins.tell()\n self.loadData(ins)\n ins.seek(inPos,0,name+'_REWIND')\n self.data = ins.read(self.size,name)\n #--Analyze internal buffer.\n else:\n reader = Tes3Reader(self.inName,cStringIO.StringIO(self.data))\n self.loadData(reader)\n reader.close()","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def from_bytes(self, *args, **kwargs): # real signature unknown\n pass","def __init__(self, path, bigendian=False, use_mmap=None):\n self.rd = DictReader(path, bigendian, use_mmap)\n with self.rd as r:\n node_size = r.get_int()\n tind_size = r.get_int()\n tail_size = r.get_int()\n self.num_keys = tind_size\n self.begs = r.get_intarray(tind_size)\n self.base = r.get_intarray(node_size)\n self.lens = r.get_shortarray(tind_size)\n self.chck = r.get_chararray(node_size)\n self.tail = r.get_chararray(tail_size)","def __init__(self, in_file=None):\n self.key = 2\n self.code = 'C'\n self.numnod = None\n self.format = None\n self.nodes = []\n if in_file is not None:\n self._read(in_file)","def __init__(self, fd=None):","def __init__(self, handle, in_read=False, fmt=None, start=None, end=None):\n self._start = start\n self._end = end\n\n if self._start:\n self._start -= 1\n\n if not fmt:\n if not in_read:\n self._get_barcode = _get_barcode[guess_header_format(handle)]\n else:\n self._get_barcode = _get_barcode['unknown']\n else:\n self._get_barcode = _get_barcode[fmt]","def __init__(self, buff):\n fmt = 'hiSi'\n response = struct_helpers.unpack_from(fmt, buff, 0)\n\n error_code = response[0]\n if error_code != 0:\n self.raise_error(error_code, response)\n self.coordinator_id = response[1]\n self.coordinator_host = response[2]\n self.coordinator_port = response[3]","def __init__(self, address, ap):\n super(ReadRequest, self).__init__(address=address, ap=ap)","def read_drt(self):\n data = Array('B')\n data = self.read(0, 0, 8)\n num_of_devices = drt_controller.get_number_of_devices(data)\n len_to_read = num_of_devices * 8\n\n data = self.read(0, 0, len_to_read + 8)\n self.drt_manager.set_drt(data)","def __init__(self, resource, read_header=True, dialect=None, encoding=None,\r\n detect_header=False, sample_size=200, skip_rows=None,\r\n empty_as_null=True,fields=None, **reader_args):\r\n self.read_header = read_header\r\n self.encoding = encoding\r\n self.detect_header = detect_header\r\n self.empty_as_null = empty_as_null\r\n \r\n self.sample_size = sample_size\r\n self.resource = resource\r\n self.reader_args = reader_args\r\n self.reader = None\r\n self.dialect = dialect\r\n \r\n self.close_file = False\r\n self.skip_rows = skip_rows\r\n self.fields = fields","def run(self):\n self.read_from_serial()"],"string":"[\n \"def __init__(self):\\n\\n self.reader = reader.Reader()\",\n \"def read(self):\\n pass\",\n \"def read(self):\",\n \"def read(self):\\n raise NotImplementedError\",\n \"def read():\\n # TODO\",\n \"def read(self):\\n pass\",\n \"def read(self, **kwargs):\\n pass\",\n \"def _read_data(self):\",\n \"def read(self, *args, **kwargs):\\n pass\",\n \"def Read(self, *args, **kwargs):\\n pass\",\n \"def __init__ (self, istream) :\\r\\n ReaderA.__init__(self) # call parent\\r\\n self.is_ = istream\\r\\n self.cached_ = CircularBuffer(132, True)\",\n \"def __init__(self, run):\\n dict.__init__(self)\\n self.read(run)\",\n \"def read(self):\\n self.attributes = self.call('READ', expect=error.OK)\",\n \"def __init__(self, filename, mode, version='2.0'):\\n if mode.startswith('r'):\\n try:\\n with open(filename, 'r') as f:\\n firstline = next(f)\\n if not firstline.startswith('#INPORB'):\\n raise InvalidRequest\\n except:\\n raise InvalidRequest\\n\\n self.f = open(filename, mode)\\n\\n if mode.startswith('r'):\\n line = self.seek_line('#INPORB')\\n self.version = line.split()[1]\\n self.seek_line('#INFO')\\n uhf, self.n_sym, self.wfn_type = (int(val) for val in self._next_noncomment().split())\\n if uhf == 1:\\n self.unrestricted = True\\n else:\\n self.unrestricted = False\\n self.n_bas = np.array(self._next_noncomment().split(), dtype=np.int)\\n self.n_orb = np.array(self._next_noncomment().split(), dtype=np.int)\\n elif mode.startswith('w'):\\n self.version = version\\n else:\\n raise Exception('invalid mode string')\\n\\n if self.version == '2.0':\\n self.read_block = self._read_block_v20\\n self.occ_fmt = ' {:7.4f}'\\n self.one_fmt = ' {:11.4e}'\\n self.orb_fmt = ' {:21.14e}'\\n self.occ_blk_size = 10\\n self.one_blk_size = 10\\n self.orb_blk_size = 5\\n elif self.version == '1.1':\\n self.read_block = self._read_block_v11\\n self.occ_fmt = '{:18.11e}'\\n self.one_fmt = '{:18.11e}'\\n self.orb_fmt = '{:18.11e}'\\n self.occ_blk_size = 4\\n self.one_blk_size = 4\\n self.orb_blk_size = 4\\n else:\\n raise Exception('invalid version number')\",\n \"def init_edra(self) -> None:\\n ...\",\n \"def __init__ (self, input) :\\r\\n ReaderA.__init__(self) # call parent\\r\\n # print '************************* input = ', input, type(input)\\r\\n self.buffer_ = input # this is any thing that can be indexed\\r\\n self.current_ = 0\",\n \"def __init__(self):\\n self.read_input()\\n self.update_binaries()\",\n \"def __init__(self, starting_point=-1):\\n self.i_read = starting_point\\n self.data = [['fake_chip_id', 'fake_version'],\\n [96, 110, 203, 104, 50, 0, 29, 145, 59, 215, 208, 11,\\n 232, 38, 42, 255, 249, 255, 172, 38, 10, 216, 189, 16],\\n [75],\\n [129, 1, 0, 16, 44, 3, 30],\\n [76, 60, 128, 129, 49, 128, 94, 120]]\",\n \"def read(cls, proto):\\n pass\",\n \"def readOneData(self):\\n\\t\\tpass\",\n \"def read_data(self):\\n raise NotImplementedError\",\n \"def _read_into_buffer(self):\\n raise NotImplementedError()\",\n \"def __init__(self, ase):\\n self.bin = open(ase, 'rb')\",\n \"def read(self) -> bytes | None:\",\n \"def read(self) -> bytes | None:\",\n \"def read(self, size=-1):\\n ...\",\n \"def init(self) -> None:\",\n \"def ReadObject(self, *args, **kwargs):\\n pass\",\n \"def getReader(self):\\n return Tes3Reader(self.inName,cStringIO.StringIO(self.data))\",\n \"def __init__(self, data=b''):\\n self.data = data\\n self.offset = 0\",\n \"def __init__(self, name):\\n self.fisica = fisica(name)\\n self.rx = RX(self.fisica)\\n self.tx = TX(self.fisica)\\n self.connected = False\",\n \"def _read(self, in_file):\\n #\\n # I know this function is long, but the FRD block is long as well...\\n # Splitting this into multiple functions would not help in my opinion.\\n # Therefore -> shut up pylint\\n # pylint: disable=too-many-branches\\n # pylint: disable=too-many-statements\\n #\\n self.setname = in_file.read(6).decode().strip()\\n self.value = float(in_file.read(12))\\n self.numnod = int(in_file.read(12))\\n self.text = in_file.read(20).decode().strip()\\n self.ictype = int(in_file.read(2))\\n self.numstep = int(in_file.read(5))\\n self.analys = in_file.read(10).decode().strip()\\n self.format = int(in_file.read(2))\\n in_file.read(1) # eol\\n\\n in_file.read(1) # pad byte\\n in_file.read(2) # key = -4\\n in_file.read(2) # pad bytes\\n self.name = in_file.read(8).decode().strip()\\n self.ncomps = int(in_file.read(5))\\n self.irtype = int(in_file.read(5))\\n if self.irtype != 1:\\n raise NotImplementedError()\\n in_file.read(1) # eol\\n\\n for i in range(self.ncomps):\\n entity = FRDEntity()\\n self.entities.append(entity)\\n\\n in_file.read(1) # pad byte\\n entity.key = int(in_file.read(2))\\n in_file.read(2) # pad bytes\\n entity.name = in_file.read(8).decode().strip()\\n entity.menu = int(in_file.read(5))\\n entity.ictype = int(in_file.read(5))\\n entity.icind1 = int(in_file.read(5))\\n if entity.ictype == 4:\\n entity.icind2 = int(in_file.read(5))\\n elif entity.ictype == 2 and i == 3:\\n entity.icind2 = int(in_file.read(5))\\n entity.iexist = int(in_file.read(5))\\n entity.icname = in_file.read(3).decode().strip()\\n self.ncomps -= 1\\n else:\\n entity.iexist = int(in_file.read(5))\\n in_file.read(1) # eol\\n\\n for i in range(self.numnod):\\n result = FRDNodeResult()\\n self.results.append(result)\\n if self.format < 2:\\n num_lines = int(self.ncomps/(6 + 1)) + 1\\n result.data = []\\n for j in range(num_lines):\\n in_file.read(3) # pad byte and key = -1 || -2\\n if result.node is None:\\n result.node = int(in_file.read(5*(self.format+1)))\\n else:\\n in_file.read(5*(self.format+1))\\n k_start = j*6\\n k_end = min(self.ncomps - k_start, (j+1)*6)\\n for _ in range(0, k_end):\\n result.data.append(float(in_file.read(12)))\\n in_file.read(1) # eol\\n else:\\n result.node = struct.unpack('i', in_file.read(4))[0]\\n result.data = struct.unpack(\\n 'f'*self.ncomps, in_file.read(self.ncomps*4))\\n\\n if self.format < 2:\\n in_file.readline() # last record for ascii only\",\n \"def read(self) -> int:\\n ...\",\n \"def __init__(self, *args, **kwargs):\\n super(Decoder, self).__init__(*args, **kwargs)\\n self.stream.seek(0)\\n self._code = 0\",\n \"def __init__(self, fileref):\\n self.__ref = fileref\\n self.__lib = _zlib.decompressobj(memLevel=9)\\n self.__buf = b''\",\n \"def test_fooreader():\\n from .context import readersender\\n\\n fr = readersender.readers.FooReader()\\n\\n fr.connect()\\n fr.read()\\n fr.disconnect()\",\n \"def __init__(self):\\n self.reader = vtk.vtkImageData()\\n\\n self.dims = self.reader.GetDimensions()\\n self.bounds = self.reader.GetBounds()\\n self.spacing = self.reader.GetSpacing()\\n self.origin = self.reader.GetOrigin()\\n self.value_range = self.reader.GetScalarRange()\\n\\n # self.plane_widget_x = vtk.vtkImagePlaneWidget()\\n # self.plane_widget_y = vtk.vtkImagePlaneWidget()\\n # self.plane_widget_z = vtk.vtkImagePlaneWidget()\\n\\n self.flag_read = False\",\n \"def lazy_read_file(self):\\n store = zarr.DirectoryStore(self.fpath)\\n z_array = zarr.open(store=store, mode='r')\\n self.da_input = da.from_array(z_array)\\n self.data = self.da_input\\n self.data_dim = self.data.shape\\n self.chunk_size = z_array.chunks\",\n \"def __init__(self, data):\\n self.data = data\\n self.writing = False\\n self.readerCount = 0\\n self.okToRead = Condition()\\n self.okToWrite = Condition()\",\n \"def __init__(self):\\n\\n self.read_input_file()\\n self.read_simulation_files()\",\n \"def __init__(self, filename='', use_cython=True, raw=None):\\n \\n if raw and not filename:\\n # Load raw data exterinally\\n self.raw = raw\\n return\\n \\n # Defaults to cython reader if user selects it\\n if use_cython and cython_loaded:\\n self.raw = _reader.Read(filename)\\n\\n # Python reader for debug purposes\\n else:\\n self.raw = PythonReader.Read(filename)\",\n \"def __init__(self):\\n #---+----|----+----|----+----|----+----|----+----|----+----|----+----|\\n NexusReaderBase.__init__(self, -1)\\n self.taxa = None\\n self._data_matrices = None\",\n \"def _OpenRead(self):\\n has_storage_metadata = self._ReadStorageMetadata()\\n if not has_storage_metadata:\\n # TODO: remove serializer.txt stream support in favor\\n # of storage metadata.\\n if self._read_only:\\n logging.warning('Storage file does not contain a metadata stream.')\\n\\n stored_serialization_format = self._ReadSerializerStream()\\n if stored_serialization_format:\\n self.serialization_format = stored_serialization_format\\n\\n if self.serialization_format != definitions.SERIALIZER_FORMAT_JSON:\\n raise IOError('Unsupported serialization format: {0:s}'.format(\\n self.serialization_format))\\n\\n self._serializer = json_serializer.JSONAttributeContainerSerializer\\n\\n for container_type, stream_name_prefix in (\\n self._STREAM_NAME_PREFIXES.items()):\\n stream_name_prefix = '{0:s}_data.'.format(stream_name_prefix)\\n self._last_stream_numbers[container_type] = self._GetLastStreamNumber(\\n stream_name_prefix)\\n\\n self._analysis_report_stream_number = self._GetLastStreamNumber(\\n 'analysis_report_data.')\\n self._last_preprocess = self._GetLastStreamNumber('preprocess.')\\n\\n last_session_start = self._GetLastStreamNumber('session_start.')\\n last_session_completion = self._GetLastStreamNumber('session_completion.')\\n\\n # TODO: handle open sessions.\\n if last_session_start != last_session_completion:\\n logging.warning('Detected unclosed session.')\\n\\n self._last_session = last_session_completion\\n\\n last_task_start = self._GetLastStreamNumber('task_start.')\\n last_task_completion = self._GetLastStreamNumber('task_completion.')\\n\\n # TODO: handle open tasks.\\n if last_task_start != last_task_completion:\\n logging.warning('Detected unclosed task.')\\n\\n self._last_task = last_task_completion\",\n \"def __init__(self, blob=None):\\n if blob is None:\\n self.versionCode = '0'\\n self.data = {}\\n else:\\n self.versionCode = blob[0]\\n encoded = blob[1:]\\n compressed = base64.b64decode(encoded)\\n self.data = json.loads(zlib.decompress(compressed))\",\n \"def _init_before_open(self, read_meth='read', open_as_binary=True, **kwargs):\\n super(FileComm, self)._init_before_open(**kwargs)\\n # Process file class keywords\\n if not hasattr(self, '_fd'):\\n self._fd = None\\n if read_meth not in ['read', 'readline']:\\n raise ValueError(\\\"read_meth '%s' not supported.\\\" % read_meth)\\n self.read_meth = read_meth\\n self.platform_newline = platform._newline\\n if self.in_temp:\\n self.address = os.path.join(tempfile.gettempdir(), self.address)\\n self.address = os.path.abspath(self.address)\\n self.open_as_binary = open_as_binary\\n self._series_index = 0\\n # Put string attributes in the correct format\\n if self.open_as_binary:\\n func_conv = backwards.as_bytes\\n else:\\n func_conv = backwards.as_unicode\\n for k in self._attr_conv:\\n v = getattr(self, k)\\n if v is not None:\\n setattr(self, k, func_conv(v))\",\n \"def reader(self):\\n return self._r\",\n \"def __init__(self, in_file=None):\\n self.key = 3\\n self.code = 'C'\\n self.numelem = None\\n self.format = None\\n self.elems = []\\n if in_file is not None:\\n self._read(in_file)\",\n \"def __init__(self, buf=None):\\n if buf:\\n self.unpack(buf)\",\n \"def __init__(self):\\n self.buffer = bytearray()\",\n \"def read(cls, reader: UFOReader) -> \\\"Info\\\":\\n self = cls()\\n reader.readInfo(self)\\n return self\",\n \"def read(self):\\r\\n return RecordIO.Reader.do_read(self._fp, self._codec)\",\n \"def init(self):\\n raise NotImplementedError\",\n \"def init(self):\\n raise NotImplementedError\",\n \"def __init__(self, *args, **kwargs):\\n logger.debug(\\\"SlokaReader: Initialize\\\")\\n super(SlokaReader, self).__init__(*args, **kwargs)\",\n \"def __init__(self):\\n \\n # Initialize logger\\n self._log = logging.getLogger(\\\"OemGateway\\\")\\n \\n # Initialize variables\\n self._data_buffer = []\\n self._settings = {}\",\n \"def _readtag(self):\\n tag = Tag()\\n tag.tag = self.reader.readint(1)\\n tag.len = self.reader.readint(2)\\n\\n if tag.len > 0:\\n tag.data = self.reader.read(tag.len)\\n return tag\",\n \"def initialize(self):\\n self.lib.Initialize()\\n\\n self.triggers = {'Internal': 0, 'External': 1, 'External Start': 6,\\n 'External Exposure': 7, 'External FVB EM': 9,\\n 'Software Trigger': 10,\\n 'External Charge Shifting': 12}\\n self.savetypes = {'Signed16bits': 1, 'Signed32bits': 2, 'Float': 3}\\n\\n # Initial values\\n\\n self.readout_packing_state = False\\n self.readout_packing = self.readout_packing_state\\n\\n self.readout_mode_mode = 'Image'\\n self.readout_mode = self.readout_mode_mode\\n\\n self.photon_counting_mode_state = False\\n self.photon_counting_mode = self.photon_counting_mode_state\\n\\n self.frame_transfer_mode_state = False\\n self.frame_transfer_mode = self.frame_transfer_mode_state\\n\\n self.fan_mode_index = 'onfull'\\n self.fan_mode = self.fan_mode_index\\n\\n self.EM_gain_mode_index = 'RealGain'\\n self.EM_gain_mode = self.EM_gain_mode_index\\n\\n self.cooled_on_shutdown_value = False\\n self.cooled_on_shutdown = self.cooled_on_shutdown_value\\n\\n self.baseline_offset_value = 100\\n self.baseline_offset = self.baseline_offset_value\\n\\n self.adv_trigger_mode_state = True\\n self.adv_trigger_mode = self.adv_trigger_mode_state\\n\\n self.acq_mode = 'Single Scan'\\n self.acquisition_mode = self.acq_mode\\n\\n self.amp_typ = 0\\n\\n self.horiz_shift_speed_index = 0\\n self.horiz_shift_speed = self.horiz_shift_speed_index\\n\\n self.vert_shift_speed_index = 0\\n self.vert_shift_speed = self.vert_shift_speed_index\\n\\n self.preamp_index = 0\\n self.preamp = self.preamp_index\\n\\n self.temperature_sp = 0 * degC\\n self.temperature_setpoint = self.temperature_sp\\n\\n self.auxout = np.zeros(4, dtype=bool)\\n for i in np.arange(1, 5):\\n self.out_aux_port[i] = False\\n\\n self.trigger_mode_index = 'Internal'\\n self.trigger_mode = self.trigger_mode_index\",\n \"def read(self) -> Optional[bytes]:\",\n \"def __init__(self, geo_model=None):\\n self.rex_bytes = bytearray()\\n self.n_bytes = 0\\n\\n self.data_id = 0\\n self.geo_model = geo_model\",\n \"def read(self, read):\\n\\n self._read = read\",\n \"def __init__(self, filename, offset):\\r\\n self.__input__ = open(filename, 'rb')\\r\\n self.__input__.seek(offset, FROM_START)\",\n \"def _init(self):\\n raise NotImplementedError\",\n \"async def read(self, *, decode: bool = ...) -> bytes:\\n ...\",\n \"def read(self) -> bytes:\\n pass\",\n \"def deserialize(self, instream):\\n\\n raise Exception(\\\"Not implemented!\\\"+self.__class__)\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def init(self):\\n pass\",\n \"def _read_v1(self):\\n return self.usb_dev.read(self.ep_in, self.rdbuf_chunksize, self.interface, self.usb_rd_timeout)\",\n \"def read_raw_data(self):\\n # Must be set by the user\\n raise Exception(\\\"not implemented\\\")\",\n \"def load(self,ins=None,unpack=False):\\n name = self.name\\n #--Read, but don't analyze.\\n if not unpack:\\n self.data = ins.read(self.size,name)\\n #--Read and analyze ins.\\n elif ins:\\n inPos = ins.tell()\\n self.loadData(ins)\\n ins.seek(inPos,0,name+'_REWIND')\\n self.data = ins.read(self.size,name)\\n #--Analyze internal buffer.\\n else:\\n reader = Tes3Reader(self.inName,cStringIO.StringIO(self.data))\\n self.loadData(reader)\\n reader.close()\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def from_bytes(self, *args, **kwargs): # real signature unknown\\n pass\",\n \"def __init__(self, path, bigendian=False, use_mmap=None):\\n self.rd = DictReader(path, bigendian, use_mmap)\\n with self.rd as r:\\n node_size = r.get_int()\\n tind_size = r.get_int()\\n tail_size = r.get_int()\\n self.num_keys = tind_size\\n self.begs = r.get_intarray(tind_size)\\n self.base = r.get_intarray(node_size)\\n self.lens = r.get_shortarray(tind_size)\\n self.chck = r.get_chararray(node_size)\\n self.tail = r.get_chararray(tail_size)\",\n \"def __init__(self, in_file=None):\\n self.key = 2\\n self.code = 'C'\\n self.numnod = None\\n self.format = None\\n self.nodes = []\\n if in_file is not None:\\n self._read(in_file)\",\n \"def __init__(self, fd=None):\",\n \"def __init__(self, handle, in_read=False, fmt=None, start=None, end=None):\\n self._start = start\\n self._end = end\\n\\n if self._start:\\n self._start -= 1\\n\\n if not fmt:\\n if not in_read:\\n self._get_barcode = _get_barcode[guess_header_format(handle)]\\n else:\\n self._get_barcode = _get_barcode['unknown']\\n else:\\n self._get_barcode = _get_barcode[fmt]\",\n \"def __init__(self, buff):\\n fmt = 'hiSi'\\n response = struct_helpers.unpack_from(fmt, buff, 0)\\n\\n error_code = response[0]\\n if error_code != 0:\\n self.raise_error(error_code, response)\\n self.coordinator_id = response[1]\\n self.coordinator_host = response[2]\\n self.coordinator_port = response[3]\",\n \"def __init__(self, address, ap):\\n super(ReadRequest, self).__init__(address=address, ap=ap)\",\n \"def read_drt(self):\\n data = Array('B')\\n data = self.read(0, 0, 8)\\n num_of_devices = drt_controller.get_number_of_devices(data)\\n len_to_read = num_of_devices * 8\\n\\n data = self.read(0, 0, len_to_read + 8)\\n self.drt_manager.set_drt(data)\",\n \"def __init__(self, resource, read_header=True, dialect=None, encoding=None,\\r\\n detect_header=False, sample_size=200, skip_rows=None,\\r\\n empty_as_null=True,fields=None, **reader_args):\\r\\n self.read_header = read_header\\r\\n self.encoding = encoding\\r\\n self.detect_header = detect_header\\r\\n self.empty_as_null = empty_as_null\\r\\n \\r\\n self.sample_size = sample_size\\r\\n self.resource = resource\\r\\n self.reader_args = reader_args\\r\\n self.reader = None\\r\\n self.dialect = dialect\\r\\n \\r\\n self.close_file = False\\r\\n self.skip_rows = skip_rows\\r\\n self.fields = fields\",\n \"def run(self):\\n self.read_from_serial()\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6265758","0.6161929","0.6149388","0.60283214","0.5988332","0.5961205","0.5949067","0.59235144","0.5830563","0.575123","0.5719261","0.5699496","0.5671507","0.5631414","0.56239974","0.5621243","0.5612608","0.56093657","0.5547174","0.5521234","0.55149037","0.5507824","0.5483486","0.5464175","0.5464175","0.54427046","0.5440683","0.5439948","0.541617","0.5403133","0.53983516","0.5396081","0.53952724","0.5391794","0.5365479","0.53627956","0.5361399","0.536136","0.53526133","0.5335213","0.5334665","0.53319633","0.5319513","0.53171915","0.53169286","0.5304742","0.5301851","0.52874124","0.5285689","0.5282391","0.5280635","0.5260751","0.5260751","0.5258697","0.525753","0.52561957","0.52554107","0.5252598","0.52482426","0.52474135","0.52424556","0.5233771","0.52280074","0.52196074","0.52192765","0.520859","0.520859","0.520859","0.520859","0.520859","0.520859","0.520859","0.520859","0.5207709","0.5202779","0.5202716","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.5190658","0.51766807","0.51660305","0.51636213","0.5163162","0.5160358","0.5159358","0.51589483","0.5156811","0.5150385"],"string":"[\n \"0.6265758\",\n \"0.6161929\",\n \"0.6149388\",\n \"0.60283214\",\n \"0.5988332\",\n \"0.5961205\",\n \"0.5949067\",\n \"0.59235144\",\n \"0.5830563\",\n \"0.575123\",\n \"0.5719261\",\n \"0.5699496\",\n \"0.5671507\",\n \"0.5631414\",\n \"0.56239974\",\n \"0.5621243\",\n \"0.5612608\",\n \"0.56093657\",\n \"0.5547174\",\n \"0.5521234\",\n \"0.55149037\",\n \"0.5507824\",\n \"0.5483486\",\n \"0.5464175\",\n \"0.5464175\",\n \"0.54427046\",\n \"0.5440683\",\n \"0.5439948\",\n \"0.541617\",\n \"0.5403133\",\n \"0.53983516\",\n \"0.5396081\",\n \"0.53952724\",\n \"0.5391794\",\n \"0.5365479\",\n \"0.53627956\",\n \"0.5361399\",\n \"0.536136\",\n \"0.53526133\",\n \"0.5335213\",\n \"0.5334665\",\n \"0.53319633\",\n \"0.5319513\",\n \"0.53171915\",\n \"0.53169286\",\n \"0.5304742\",\n \"0.5301851\",\n \"0.52874124\",\n \"0.5285689\",\n \"0.5282391\",\n \"0.5280635\",\n \"0.5260751\",\n \"0.5260751\",\n \"0.5258697\",\n \"0.525753\",\n \"0.52561957\",\n \"0.52554107\",\n \"0.5252598\",\n \"0.52482426\",\n \"0.52474135\",\n \"0.52424556\",\n \"0.5233771\",\n \"0.52280074\",\n \"0.52196074\",\n \"0.52192765\",\n \"0.520859\",\n \"0.520859\",\n \"0.520859\",\n \"0.520859\",\n \"0.520859\",\n \"0.520859\",\n \"0.520859\",\n \"0.520859\",\n \"0.5207709\",\n \"0.5202779\",\n \"0.5202716\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.5190658\",\n \"0.51766807\",\n \"0.51660305\",\n \"0.51636213\",\n \"0.5163162\",\n \"0.5160358\",\n \"0.5159358\",\n \"0.51589483\",\n \"0.5156811\",\n \"0.5150385\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}},{"rowIdx":1798,"cells":{"query":{"kind":"string","value":"Extract plastic class label from Image Name and return it"},"document":{"kind":"string","value":"def ExtractLabel(ImgName):\n # Each img has name notation \"*****a0X*\" where X is PlasticType\n PlasticType = ImgName[7] \n return {\n '1': 0, # PET\n '2': 1, # HDPE\n '4': 2, # LDPE\n '5': 3, # PP\n '6': 4, # PS\n '7': 5, # Other\n }[PlasticType]"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def name_to_label(self, name):\n\t\t\treturn self.classes[name]","def name_to_label(self, name):\n\t\treturn self.classes[name]","def get_imagenet_label(index):\n global _CLASS_INDEX\n if _CLASS_INDEX is None:\n with open(os.path.join(os.path.dirname(__file__), '../resources/imagenet_class_index.json')) as f:\n _CLASS_INDEX = json.load(f)\n return _CLASS_INDEX[str(index)][1]","def get_label(image, model):\n x = Variable(image, volatile=True)\n label = model(x).data.max(1)[1].numpy()[0]\n # We have string labels for ImageNet\n if isinstance(model, torchvision.models.inception.Inception3):\n label_string = labels.get(label)\n return label_string\n return label","def name_to_label(self, name):\n return self.classes[name]","def classify_image(img_pil):\n results = tpu.ClassifyWithImage(img_pil, top_k=1)\n if len(results) == 0:\n return None, None\n i, score = results[0]\n label = labels[i]\n # print(label + \": \" + str(score))\n return label, score","def ocr_core_names(img):\n text = pytesseract.image_to_string(\n img,\n lang='eng',\n config='--psm 7 --oem 3'\n )\n return text","def get_classification(self, image):\n # Image pre-processing pipeline\n img = cv2.resize(image, None, fx=0.5, fy=0.5)\n img = img.astype(np.float32)\n img = keras.applications.vgg16.preprocess_input(img)\n # Execute prediction\n probs = self.model.predict(np.array([img]), batch_size=1, verbose=1)[0]\n # get label with max probability\n g_x = np.argmax(probs)\n\n # reject if model is not confident\n if probs[g_x] < CONFIDENCE_THRESHOLD:\n return TrafficLight.UNKNOWN\n\n label = self.predictionary[g_x]\n rospy.loginfo(\"label: %d, conf: %f, %f, %f, %f\", g_x, probs[0], probs[1], probs[2], probs[3])\n return label","def get_label(client, label):\n image_name = get_image_name()\n image = client.images.get(image_name)\n try:\n return image.labels[label]\n except KeyError:\n raise Exception(f\"Image should have a label '{label}'\")","def overlay_class_names(self, image, predictions):\n scores = predictions.get_field(\"scores\").tolist()\n labels = predictions.get_field(\"labels\").tolist()\n labels = [self.CATEGORIES[int(i)] for i in labels]\n boxes = predictions.bbox\n\n template = \"{}: {:.2f}\"\n for box, score, label in zip(boxes, scores, labels):\n x, y = box[:2]\n s = template.format(label, score)\n cv2.putText(\n image, s, (x, y), cv2.FONT_HERSHEY_SIMPLEX, .5, (255, 255, 255), 1\n )\n\n return image","def _get_label(cls, file_name):\n if cls == \"neg\":\n return \"0\"\n else:\n return \"1\"\n # reg = _REGEX_\n # rmtch = reg.match(file_name)\n # if rmtch:\n # return rmtch.groupdict()[\"label\"]\n # else:\n # return \"unknown_positive\"","def GetImageLabelFromImage(image, parent=None):\n pixmap = GetPixelMapFromImage(image)\n return GetImageLabelFromPixelMap(pixmap, parent=parent)","def get_imagenet_classnames():\r\n return np.loadtxt(open(path_data+'/ilsvrc_2012_labels.txt'), dtype=object, delimiter='\\n')","def show_class_name(img, pos, class_str, font_scale=0.35):\n\n img = img.astype(np.uint8)\n x0, y0 = int(pos[0]), int(pos[1])\n \n # Compute text size.\n txt = class_str\n font = cv2.FONT_HERSHEY_SIMPLEX\n ((txt_w, txt_h), _) = cv2.getTextSize(txt, font, font_scale, 1)\n \n # Place text background.\n back_tl = x0, y0 - int(1.3 * txt_h)\n back_br = x0 + txt_w, y0\n cv2.rectangle(img, back_tl, back_br, _GREEN, -1)\n \n # Show text.\n txt_tl = x0, y0 - int(0.3 * txt_h)\n cv2.putText(img, txt, txt_tl, font, font_scale, _GRAY, lineType=cv2.LINE_AA)\n return img","def get_classname(self):\n return 'ImageFilm'","def overlay_class_names(image, predictions):\n scores = predictions.get_field(\"scores\").tolist()\n labels = predictions.get_field(\"labels\").tolist()\n labels_text = [CATEGORIES[i] for i in labels]\n boxes = predictions.bbox\n\n img_h, img_w, _ = image.shape\n\n template = \"{} {}: {:.2f}\"\n abv_map = {\n 'annotation_image': 'am',\n 'annotation_text': 'at',\n 'event_image': 'em',\n 'event_text': 'et',\n 'main_body': 'mb'\n }\n for c_label in DRAW_ORDER:\n for b_id, (box, score, label, label_text) in enumerate(zip(boxes, scores, labels, labels_text)):\n if label != c_label:\n continue\n x, y = box[:2]\n color = CATEGORIES_COLOR[label]\n label_text = abv_map.get(label_text, label_text)\n s = template.format(b_id, label_text, score)\n fontScale = img_w / 2000.0\n (text_width, text_height) = cv2.getTextSize(s, cv2.FONT_HERSHEY_SIMPLEX, fontScale=fontScale, thickness=1)[0]\n box_coords = ((x, y), (x + text_width - 2, y - text_height - 2))\n cv2.rectangle(image, box_coords[0], box_coords[1], color, cv2.FILLED)\n cv2.putText(\n image, s, (x, y), cv2.FONT_HERSHEY_SIMPLEX, fontScale, (255, 255, 255), 1\n )\n\n return image","def get_label(img_path):\n img_name = img_path.stem\n label_name = img_name + \".txt\"\n label_path = img_path.parent / label_name\n with open(label_path) as f:\n label = json.load(f)\n return label","def _get_label(self):\n if self.model.name == '':\n return \"KPI\"\n return \"KPI: {} ({})\".format(self.model.name, self.model.objective)","def extract_labels(filename, num_images):\n gt_imgs = []\n for i in range(1, num_images+1):\n imageid = \"satImage_%.3d\" % i\n image_filename = filename + imageid + \".png\"\n if os.path.isfile(image_filename):\n print ('Loading ' + image_filename)\n img = mpimg.imread(image_filename)\n gt_imgs.append(img)\n else:\n print ('File ' + image_filename + ' does not exist')\n\n num_images = len(gt_imgs)\n gt_patches = [img_crop(gt_imgs[i], IMG_PATCH_SIZE, IMG_PATCH_SIZE, 0, False) for i in range(num_images)]\n data = numpy.asarray([gt_patches[i][j] for i in range(len(gt_patches)) for j in range(len(gt_patches[i]))])\n labels = numpy.asarray([value_to_class(numpy.mean(data[i])) for i in range(len(data))])\n\n # Convert to dense 1-hot representation.\n return labels.astype(numpy.float32)","def _classify(self, example):\n neighbors = self.find_neighbor(example)\n class_label = self.find_response(neighbors)\n return class_label","def label_to_class_name(label):\n try:\n genre_label = pd.read_csv(path.join(DATA_PATH, 'genre_labels.csv'))\n return genre_label[genre_label['label'] == int(label)]['genre'].values[\n 0]\n except IOError:\n return label","def get_label(repo, title, verbose=None):\n if verbose:\n print \"Checking for label...\"\n label = None\n label_text = None\n try:\n label_start = 1 + title.index('(')\n label_end = title.index(')')\n label_text = title[label_start:label_end]\n except ValueError, e:\n print \"Warning: This tile has no embeded label. {0}\".format(e)\n if label_text:\n try:\n label = [repo.get_label(label_text)]\n if verbose:\n print \"Found label: {0}\".format(label)\n except UnknownObjectException, e:\n print \"Error: The label '{0}' does not exist on \" \\\n \"Github. {1}\".format(label_text, e)\n return label","def _parse_classification(self, item):\n full_name = item.css('td[headers=Name]::text').extract_first()\n\n if \"Metra\" in full_name and \"Board Meeting\" in full_name:\n return BOARD\n elif \"Citizens Advisory\" in full_name:\n return ADVISORY_COMMITTEE\n elif \"Committee Meeting\" in full_name:\n return COMMITTEE\n else:\n return NOT_CLASSIFIED","def get_label(self, name):\n label_list = self.wls_board.get_labels()\n for label in label_list:\n if name in label.name: \n return label","def getImageLabels(bucket, key):\n client = boto3.client('rekognition')\n resp = client.detect_labels(\n Image={\n 'S3Object': {\n 'Bucket': bucket,\n 'Name': key\n }\n }\n )\n\n output = []\n # I'm assuming that we only need the name labels to return to the customer. \n for label in resp['Labels']:\n output.append(label['Name'])\n return output","def getImageName(self):\r\n return self.imageName","def get_classification(self, image):\n # Run inference on image\n prediction = None\n prediction = inferOnImage(self.sess, self.model_logits, self.X, image)\n\n # Convert number into label just for debug\n prediction_label = None\n if prediction[0] == 0:\n prediction_label = \"RED\"\n elif prediction[0] == 1:\n prediction_label = \"GREEN\"\n elif prediction[0] == 2:\n prediction_label = \"NOLIGHT\"\n\n # Log the message\n rospy.loginfo(\"The label returned is %s\", prediction_label)\n\n # Return Unknown for now\n return TrafficLight.UNKNOWN","def extract_labels(filename, num_images, starting_id, context_factor):\n gt_imgs = []\n for i in range(starting_id, num_images+starting_id):\n imageid = \"satImage_%.3d\" % i\n image_filename = filename + imageid + \".png\"\n if os.path.isfile(image_filename):\n print ('Loading ' + image_filename)\n img = mpimg.imread(image_filename)\n gt_imgs.append(img)\n else:\n print ('File ' + image_filename + ' does not exist')\n\n num_images = len(gt_imgs)\n # it means that we base our labels only on the core of the patch, not including the contet added\n context_factor = 0\n gt_patches = [img_crop_context(gt_imgs[i], IMG_PATCH_SIZE, IMG_PATCH_SIZE,context_factor) for i in range(num_images)]\n data = np.asarray([gt_patches[i][j] for i in range(len(gt_patches)) for j in range(len(gt_patches[i]))])\n labels = np.asarray([value_to_class(np.mean(data[i])) for i in range(len(data))])\n\n # Convert to dense 1-hot representation.\n return labels.astype(np.float32)","def _get_img_label(self, path):\n food_items = self.annotations[path]\n tomato_items = [\n item for item in food_items\n if item['id'] in self.tomato_label_ids\n ]\n return 1 if len(tomato_items) > 0 else 0","def get_label_name(label):\n\tindex = np.argmax(label)\n\tlabels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n\treturn labels[int(index)]","def _ImageName(self, image):\n\n image_without_protocol = image.split('/')[-1]\n if '@' in image_without_protocol:\n return image_without_protocol.split('@')[0]\n elif ':' in image:\n return image_without_protocol.split(':')[0]\n else:\n return image_without_protocol","def get_classification(self, image):\n image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n image = cv2.resize(image, (360,270), interpolation = cv2.INTER_CUBIC)\n\n with self.graph.as_default():\n result = self.model.predict(image[None, :, :, :], batch_size=1).squeeze()\n id = np.argmax(result)\n return id, result[id]","def label_image(image):\n \n #Label the blobs using ndimage\n labeled_blobs, n_features = ndimage.label(b_image)\n \n #calculate the center of mass of each labelled feature\n centers = ndimage.center_of_mass(b_image, labeled_blobs, np.arange(n_features) + 1)\n \n return labeled_blobs, n_features, centers","def classify_image(img_path: str, model=None, pretrained_state_path: str = None):\n if model is None:\n if pretrained_state_path is None:\n model = models.vgg16(pretrained=True)\n else:\n state_dict = torch.load(pretrained_state_path)\n model = models.vgg16()\n model.load_state_dict(state_dict)\n img = preprocess_image(img_path)\n output = model(img)\n # Getting the max of the soft max layer.\n prediction = output.data.numpy().argmax()\n return labels[prediction]","def get_label(filename:str) -> str:\n label = filename.split(\"/\")[-2]\n return label","def get_classification(self, image):\n\n imrs = cv2.resize(image, (64, 64)) \n imrs = imrs.astype(float)\n imrs = imrs / 255.0\n \n imrs = imrs[newaxis, :, :, :]\n\n with self.graph.as_default():\n preds = self.model.predict(imrs)\n \n predicted_class = np.argmax(preds, axis=1)\n\n choices = {0: TrafficLight.RED,\n 1: TrafficLight.YELLOW,\n 2: TrafficLight.GREEN,\n 3: TrafficLight.UNKNOWN}\n return choices.get(predicted_class[0], TrafficLight.GREEN)","def get_nickname(image):\r\n extension = len(image.split('/')[-1:][0].split('.')[-1:][0])\r\n return image.split('/')[-1:][0][:-extension-1]","def predict_car():\n img = open_image(request.files['image'])\n pred_class, pred_idx, outputs = learn.predict(img)\n return str(pred_class)","def get_labels(fasta_file):\n\t\tbase_name = basename(fasta_file)\n\t\tname = splitext(base_name)[0]\n\t\tlabel = name.split(\"_\")[-1]\n\t\tassert label == \"pos\" or label == \"hard\", \"AssertionError: label {} not found, possible labels pos, hard.\"\n\t\tif label == \"pos\":\n\t\t\treturn \"Toxin\"\n\t\telif label == \"hard\":\n\t\t\treturn \"No_toxin\"","def _restore_image_name(self, data: Dict[str, str]) -> ImageName:\n return ImageName.parse(data[\"str\"])","def _target_from_filename(filename):\n # Sample filename: PSI_Tray031_2015-12-26--17-38-25_top.png\n filename_regex = re.search(r'\\d+_([a-z]+).png', str(filename))\n str_label = filename_regex.groups()[0]\n label_dict = {'high': 1.0, 'low': 0.0}\n return label_dict[str_label]","def get_name():\n return \"SVM\"","def classifyPhaseImage(fr_nb):\n phase_path = os.path.join(\"..\",'data','microglia','Beacon-1 unst',\"Scene1Interval\"+str(fr_nb)+\"_PHASE.png\")\n \n phase= Image.open(phase_path)\n phase = np.asarray(phase)\n X=phase.reshape(-1,1)\n from sklearn.cluster import KMeans\n kmeans = KMeans(n_clusters=3).fit(X)\n classified = kmeans.labels_\n classified=classified.reshape(phase.shape)\n si2(phase,classified,\"Phase image\",\"Classification\")\n return classified","def get_label(name):\n lower = name.lower()\n vals = lower.split('_')\n if 'ho' in vals:\n name = 'Independent Estimate'\n elif 'alldata' in vals:\n name = 'Extra-Data Estimate'\n elif 'ris' in vals[0]:\n name = 'RIS'\n if 'w' in vals[0]:\n name += ' WIS'\n if 'pd' in vals[0]:\n name += ' PDIS'\n elif 'is' in vals[0]:\n name = 'OIS'\n if 'w' in vals[0]:\n name += ' WIS'\n if 'pd' in vals[0]:\n name += ' PDIS'\n if 'dr' in vals:\n name += ' DR'\n if 'wdr' in vals:\n name += ' WDR'\n return name","def get_name():\n return \"SVM Idea\"","def get_classification(self, image):\n # Image pre-processing pipleine\n img = np.float32(image)\n img = preprocess_input(img)\n img = cv2.resize(img, (299, 299))\n img = np.expand_dims(img, 0)\n # Execute model's predictions - return probability value for each of 4 classes\n probs = self.model.predict(img)[0]\n # get class with max probability\n g_x = np.argmax(probs)\n\n # reject if model is not confident about the prediction\n if probs[g_x] < CONFIDENCE_THRESHOLD:\n return TrafficLight.UNKNOWN\n\n # Swap label values as model was trained with different label values\n if g_x == 2:\n prediction = 0 # Red\n elif g_x == 0:\n prediction = 2 # Green\n elif g_x == 3:\n prediction = 1 # Yellow\n else:\n prediction = 3 # No light\n\n # Log the message\n rospy.loginfo(\"The label returned is %d\", prediction)\n\n # Return the light state corresponding to the index\n return prediction","def predLabel(self, DataMatrix):\n self.predict(DataMatrix)\n # Calculamos el valor mas alto, y a partir de este obtenemos el nombre de la etiqueta\n tags = [self.classes[np.argmax(elem)] for elem in self.data]\n return tags","def bb_labelname(hit):\n try:\n real_name = hit.group(1)\n L = Label.objects.get(name=real_name)\n T = loader.get_template('webview/t/label.html')\n C = Context({ 'L' : L })\n return T.render(C)\n except:\n # This will throw if the requested label is spelt incorrectly, or doesnt exist\n return '<img src=\"/static/transmit.png\" alt=\"Invalid Label\" border=\"0\" /> %s' % (real_name)","def get_classification(self, image):\n \n img = cv2.resize(src=image, dsize=(IN_IMAGE_HEIGHT,IN_IMAGE_WIDTH))\n img = img.astype(float)\n img = img / 255.0\n\n img = img[np.newaxis,:,:,:]\n\n with self.graph.as_default():\n predictions = self.model.predict(img)\n predicted_cat = np.argmax(predictions,axis=1)\n\n light = predicted_cat[0]\n# rospy.logwarn(\"Predicted = %i \", light)\n if(light==0):\n return TrafficLight.GREEN\n elif(light==1):\n return TrafficLight.YELLOW\n elif(light==2):\n return TrafficLight.RED\n return TrafficLight.UNKNOWN","def extract_label(selector):\n return selector.split('=')[-1][:-1]","def get_classification(self, image):\n if self.model is not None:\n im = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n im = im.astype('float32')\n im = preprocess_input(im)\n im_array = np.asarray(im)\n transformed_im_array = im_array[None, :, :, :]\n with self.graph.as_default():\n preds = self.model.predict(transformed_im_array, batch_size=1)\n return np.argmax(preds[0])\n return TrafficLight.UNKNOWN","def image_name(name):\n \n # Gets the '.' position\n dot = name.find('.')\n # Slice the name from beginning and before '.'\n img = name[:dot]\n # return string with jpg format\n return \"{}.jpg\".format(img)","def get_label(cls) -> str:\n return cls._meta.label_lower.split('.')[-1]","def get_classification(self, image):\n if self.model_type == 'tf':\n return self.run_tf_classifier(image)\n elif self.model_type == 'keras':\n return self.run_keras_classifier(image)\n else:\n return TrafficLight.UNKNOWN","def get_label_image(probs, img_h, img_w):\n\n labels = probs.argmax(axis=2).astype('uint8')[:img_h, :img_w]\n label_im = Image.fromarray(labels, 'P')\n label_im.putpalette(_PALETTE)\n return label_im","def create_label(self, loaded_img, loaded_label):\n _, label = cv2.threshold(loaded_label, 120, 255, cv2.THRESH_BINARY)\n kernel = np.ones((5, 5), np.uint8)\n label = cv2.dilate(label, kernel, iterations=1)\n _, contours, _ = cv2.findContours(label, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n if contours:\n areas = [cv2.contourArea(cnt) for cnt in contours]\n x, y, w, h = cv2.boundingRect(contours[np.argmax(areas)])\n label = label[y:y + h, x:x + w]\n return loaded_img.astype(np.float32) / 255, cv2.resize(label, (self.label_w, self.label_h)).astype(np.float32) / 255\n else:\n return loaded_img.astype(np.float32) / 255, np.zeros([self.label_h, self.label_w], dtype=np.float32)","def image_name(self) -> pulumi.Output[Optional[str]]:\n return pulumi.get(self, \"image_name\")","def name(self, strippath=False):\n return _image.image_name(self, strippath)","def labels_to_cityscapes_palette(image):\n classes=ZHANG_classes \n result =np.zeros((img.shape[0], img.shape[1], 3),dtype=np.uint8)\n for key, value in classes.items():\n result[np.where(img == key)] = value\n return result","def predict_label(img, net_model, label):\n img1 = cv2.resize(img, (80, 80))\n predict = net_model.predict(img1.reshape(1, 80, 80, 3))\n maxi = predict[0][0]\n curs = 0\n test = 0\n for i, pred in enumerate(predict[0]):\n test += pred\n if pred > maxi:\n maxi = pred\n curs = i\n return label[curs]","def predLabel(self, DataMatrix):\n self.predict(DataMatrix)\n # Calculamos el valor mas alto, y a partir de este obtenemos el nombre de la etiqueta\n tags = [[self.classes[np.argmax(subrow)] for subrow in row] for row in self.data]\n return tags","def image_classes():\n\n image_data_path = PROJECT_ROOT + \"/data/CUB_200_2011/\"\n\n # <class_id> <class_name>\n classes = open(image_data_path + \"classes.txt\").readlines()\n classes = [i.strip().split() for i in classes]\n\n # <image_id> <class_id>\n labels = open(image_data_path + \"image_class_labels.txt\").readlines()\n labels = [i.strip().split() for i in labels]\n\n class_ids = {}\n for i in classes:\n class_ids[i[1]] = int(i[0])\n\n label_ids = {}\n for i in labels:\n label_ids[int(i[0])] = int(i[1])\n\n return class_ids, label_ids","def classname(self):\n if not self.has_classname():\n return \"\"\n\n classname_offset = self.unpack_dword(0x30)\n classname_length = self.unpack_word(0x4A)\n\n offset = self.abs_offset_from_hbin_offset(classname_offset)\n d = HBINCell(self._buf, offset, self)\n return struct.unpack_from(str(\"<%ds\") % (classname_length), self._buf, d.data_offset())[0].decode(\"utf-16le\").rstrip(\"\\x00\")","def get_emotion_label(self, file_name):\n file_name = file_name[:-4]\n emotion_name = file_name.split('_')[-1] # the last is a position of emotion code\n return emotion_name","def get_name():\n return \"SVMd+ - simplified approach\"","def classify_image(image):\n image_path = image.filename\n image_data = np.array(Image.open(image.stream))\n image_data = skimage.img_as_float(image_data).astype(np.float2)\n with classifier_lock:\n classification = classifier.predict([image_data])[0]\n return {\"suggested_tags\": predicted_tags(classification),\n \"classification_vector\": classification,\n \"image_url\": image_path}","def __getitem__(self, ind):\n image = Image.open(os.path.join(self.root_dir,self.image_fns[ind]))\n #If a transform is specified, apply it\n if self.transform is not None:\n image = self.transform(image)\n \n # Verify that image is in Tensor format\n #if type(image) is not torch.Tensor:\n # image = transform.ToTensor(image)\n\n # Convert multi-class label into binary encoding \n\n label = self.labels[ind]\n \n # Return the image and its label\n return (image, label)","def label(image,**kw):\n # default connectivity in OpenCV: 8 (which is equivalent to...)\n # default connectivity in scikit-image: 2\n n, labels = cv2.connectedComponents(image.astype(uint8), connectivity=4)\n #n, labels = cv2.connectedComponentsWithAlgorithm(image.astype(uint8), connectivity=4, ltype=2, ccltype=cv2.CCL_DEFAULT)\n return labels, n-1\n # try: return measurements.label(image,**kw)\n # except: pass\n # types = [\"int32\",\"uint32\",\"int64\",\"uint64\",\"int16\",\"uint16\"]\n # for t in types:\n # try: return measurements.label(array(image,dtype=t),**kw)\n # except: pass\n # # let it raise the same exception as before\n # return measurements.label(image,**kw)","def __getitem__(self, idx):\n img = self.images[idx]\n label = self.labels[idx].split(\" \")[-1]\n img = Image.open(img)\n img = img.convert('RGB')\n img = self.transform(img)\n return(img, label[:-1])","def get_class_name(dataset, target):\n if dataset == \"mpeg7\":\n if target == 0: return \"Bone\"\n if target == 1: return \"Comma\"\n if target == 2: return \"Glas\"\n if target == 3: return \"HCircle\"\n if target == 4: return \"Heart\"\n if target == 5: return \"Misk\"\n if target == 6: return \"apple\"\n if target == 7: return \"bat\"\n if target == 8: return \"beetle\"\n if target == 9: return \"bell\"\n if target == 10: return \"bird\"\n if target == 11: return \"bottle\"\n if target == 12: return \"brick\"\n if target == 13: return \"butterfly\"\n if target == 14: return \"camel\"\n if target == 15: return \"car\"\n if target == 16: return \"carriage\"\n if target == 17: return \"cattle\"\n if target == 18: return \"cellular_phone\"\n if target == 19: return \"chicken\"\n if target == 20: return \"children\"\n if target == 21: return \"chopper\"\n if target == 22: return \"classic\"\n if target == 23: return \"crown\"\n if target == 24: return \"cup\"\n if target == 25: return \"deer\"\n if target == 26: return \"device0\"\n if target == 27: return \"device1\"\n if target == 28: return \"device2\"\n if target == 29: return \"device3\"\n if target == 30: return \"device4\"\n if target == 31: return \"device5\"\n if target == 32: return \"device6\"\n if target == 33: return \"device7\"\n if target == 34: return \"device8\"\n if target == 35: return \"device9\"\n if target == 36: return \"dog\"\n if target == 37: return \"elephant\"\n if target == 38: return \"face\"\n if target == 39: return \"fish\"\n if target == 40: return \"flatfish\"\n if target == 41: return \"fly\"\n if target == 42: return \"fork\"\n if target == 43: return \"fountain\"\n if target == 44: return \"frog\"\n if target == 45: return \"guitar\"\n if target == 46: return \"hammer\"\n if target == 47: return \"hat\"\n if target == 48: return \"horse\"\n if target == 49: return \"horseshoe\"\n if target == 50: return \"jar\"\n if target == 51: return \"key\"\n if target == 52: return \"lizzard\"\n if target == 53: return \"lmfish\"\n if target == 54: return \"octopus\"\n if target == 55: return \"pencil\"\n if target == 56: return \"personal_car\"\n if target == 57: return \"pocket\"\n if target == 58: return \"rat\"\n if target == 59: return \"ray\"\n if target == 60: return \"sea_snake\"\n if target == 61: return \"shoe\"\n if target == 62: return \"spoon\"\n if target == 63: return \"spring\"\n if target == 64: return \"stef\"\n if target == 65: return \"teddy\"\n if target == 66: return \"tree\"\n if target == 67: return \"truck\"\n if target == 68: return \"turtle\"\n if target == 69: return \"watch\"\n\n if dataset == \"leaf\":\n if target == 0: return \"Acer_Capillipes\"\n if target == 1: return \"Betula_Austrosinensis\"\n if target == 2: return \"Castanea_Sativa\"\n if target == 3: return \"Eucalyptus_Glaucescens\"\n if target == 4: return \"Fagus_Sylvatica\"\n if target == 5: return \"Ginkgo_Biloba\"\n if target == 6: return \"Ilex_Aquifolium\"\n if target == 7: return \"Liquidambar_Styraciflua\"\n if target == 8: return \"Magnolia_Heptapeta\"\n if target == 9: return \"Olea_Europaea\"\n if target == 10: return \"Populus_Adenopoda\"\n if target == 11: return \"Quercus_Afares\"\n if target == 12: return \"Rhododendron_x_Russellianum\"\n if target == 13: return \"Salix_Fragilis\"\n if target == 14: return \"Tilia_Oliveri\"\n if target == 15: return \"Ulmus_Bergmanniana\"\n if target == 16: return \"Viburnum_x_Rhytidophylloides\"\n if target == 17: return \"Zelkova_Serrata\"\n\n if dataset == \"fashion_mnist\":\n if target == 0: return \"Ankle_boot\"\n if target == 1: return \"Bag\"\n if target == 2: return \"Coat\"\n if target == 3: return \"Dress\"\n if target == 4: return \"Pullover\"\n if target == 5: return \"Sandal\"\n if target == 6: return \"Shirt\"\n if target == 7: return \"Sneaker\"\n if target == 8: return \"T_shirt\"\n if target == 9: return \"Trouser\"\n\n if dataset == \"nist\":\n if target == 0: return \"0\"\n if target == 1: return \"1\"\n if target == 2: return \"2\"\n if target == 3: return \"3\"\n if target == 4: return \"4\"\n if target == 5: return \"5\"\n if target == 6: return \"6\"\n if target == 7: return \"7\"\n if target == 8: return \"8\"\n if target == 9: return \"9\"\n if target == 10: return \"A\"\n if target == 11: return \"B\"\n if target == 12: return \"C\"\n if target == 13: return \"D\"\n if target == 14: return \"E\"\n if target == 15: return \"F\"\n if target == 16: return \"G\"\n if target == 17: return \"H\"\n if target == 18: return \"I\"\n if target == 19: return \"J\"\n if target == 20: return \"K\"\n if target == 21: return \"L\"\n if target == 22: return \"M\"\n if target == 23: return \"N\"\n if target == 24: return \"O\"\n if target == 25: return \"P\"\n if target == 26: return \"Q\"\n if target == 27: return \"R\"\n if target == 28: return \"S\"\n if target == 29: return \"T\"\n if target == 30: return \"U\"\n if target == 31: return \"V\"\n if target == 32: return \"W\"\n if target == 33: return \"X\"\n if target == 34: return \"Y\"\n if target == 35: return \"Z\"\n if target == 36: return \"a\"\n if target == 37: return \"b\"\n if target == 38: return \"c\"\n if target == 39: return \"d\"\n if target == 40: return \"e\"\n if target == 41: return \"f\"\n if target == 42: return \"g\"\n if target == 43: return \"h\"\n if target == 44: return \"i\"\n if target == 45: return \"j\"\n if target == 46: return \"k\"\n if target == 47: return \"l\"\n if target == 48: return \"m\"\n if target == 49: return \"n\"\n if target == 50: return \"o\"\n if target == 51: return \"p\"\n if target == 52: return \"q\"\n if target == 53: return \"r\"\n if target == 54: return \"s\"\n if target == 55: return \"t\"\n if target == 56: return \"u\"\n if target == 57: return \"v\"\n if target == 58: return \"w\"\n if target == 59: return \"x\"\n if target == 60: return \"y\"\n if target == 61: return \"z\"","def create_readable_names_for_imagenet_labels():\n\n base_url = 'http://cnbj1-fds.api.xiaomi.net/ml-datasets/imagenet/' # noqa\n synset_url = '{}/imagenet_lsvrc_2015_synsets.txt'.format(base_url)\n synset_to_human_url = '{}/imagenet_metadata.txt'.format(base_url)\n\n filename, _ = urllib.urlretrieve(synset_url)\n synset_list = [s.strip() for s in open(filename).readlines()]\n num_synsets_in_ilsvrc = len(synset_list)\n assert num_synsets_in_ilsvrc == 1000\n\n filename, _ = urllib.urlretrieve(synset_to_human_url)\n synset_to_human_list = open(filename).readlines()\n num_synsets_in_all_imagenet = len(synset_to_human_list)\n assert num_synsets_in_all_imagenet == 21842\n\n synset_to_human = {}\n for s in synset_to_human_list:\n parts = s.strip().split('\\t')\n assert len(parts) == 2\n synset = parts[0]\n human = parts[1]\n synset_to_human[synset] = human\n\n label_index = 1\n labels_to_names = {0: 'background'}\n for synset in synset_list:\n name = synset_to_human[synset]\n labels_to_names[label_index] = name\n label_index += 1\n\n return labels_to_names","def get_classification(self, image):\n # Light color prediction\n detections = self.run_detection(image)\n boxes, scores, classes = self.filter_boxes(0.6, detections)\n # Scores are ordered highest -> lowest\n if len(classes) > 0:\n if self.label_map[classes[0]] == 'red':\n # rospy.logwarn('Red Light: {}'.format(scores[0]))\n return TrafficLight.RED\n # rospy.logwarn('Proceeding')\n \n return TrafficLight.UNKNOWN","def get_name():\n return \"SVMd+\"","def find_name(face):\n if not face[\"MatchedFaces\"]:\n return \"\"\n confidence = face[\"MatchedFaces\"][0][\"Similarity\"]\n if confidence < CONFIDENCE_THRESHOLD:\n return \"\"\n return face[\"MatchedFaces\"][0][\"Face\"][\"ExternalImageId\"]","def get_classification(self, image):\n #TODO implement light color prediction\n image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)\n box = self.detection(image)\n if box == None:\n #rospy.loginfo('Classifier: No box found')\n return TrafficLight.UNKNOWN\n\n left, right, top, bottom = box\n img_crop = image[top:bottom, left:right]\n traffic_light = cv2.resize(img_crop, (32, 32))\n classification = self.classification(traffic_light)\n return classification","def read_stanford_labels():\n # First get the hardi data\n fetch_stanford_hardi()\n hard_img, gtab = read_stanford_hardi()\n\n # Fetch and load\n files, folder = fetch_stanford_labels()\n labels_file = pjoin(folder, \"aparc-reduced.nii.gz\")\n labels_img = nib.load(labels_file)\n return hard_img, gtab, labels_img","def Name(cls) -> str:\n return 'pixel'","def _get_label(self):\n return self.label","def get_class_label(index):\n if isinstance(index,str):\n index = int(index)\n # print(type(index))\n if index < len(class_label):\n return class_label[index]\n basic.outputlogMessage('class index: %d not found in the class list' % index)\n assert (False)\n return False","def image_name(self) -> str:\n return self._image_name","def get_label(genotype_type):\n if genotype_type == \"Hom\":\n return 0\n elif genotype_type == \"Het\":\n return 1\n elif genotype_type == \"Hom_alt\":\n return 2","def classify_images():\n\n # Load the desired image\n img_path = 'dataset/colorize_images/n02085782_919.jpg'\n img = image.load_img(img_path, target_size=(299, 299))\n x = image.img_to_array(img)\n x = np.expand_dims(x, axis=0)\n x = preprocess_input(x)\n\n model = InceptionV3(weights=\"imagenet\")\n preds = model.predict(x)\n # decode the results into a list of tuples (class, description, probability)\n # (one such list for each sample in the batch)\n print('Predicted:', decode_predictions(preds, top=3)[0])","def get_classLabel(self, dataset, class_label): \n\t\tnode = self.root\n\t\tbroken=0\n\t\t\n\t\t#print(\"BEBE:\" + str(node.get_bebe( dataset)))\n\t\t\n\t\tif (node.get_bebe( dataset) == class_label ):\n\t\t\treturn 1\n\t\telse:\n\t\t\treturn 0\n\n\t\t\tdef junk(data, class_label, seed, ratio):","def get_detection_class_as_text(self, n: int) -> str:\n return dotty(self.json)[f'predictions.0.detection_classes_as_text.{n}']","def get_original_label(filename):\n original_label = filename.replace('.tab', '.lbl')\n original_label = original_label.replace('.txt', '.lbl')\n original_label = original_label.replace('.TAB', '.lbl')\n original_label = original_label.replace('.TXT', '.lbl')\n original_label = original_label.replace('rad', 'psv')\n original_label = original_label.replace('RAD', 'PSV')\n return original_label","def get_classification(self, image):\n #TODO implement light color prediction\n choices = {0: \"GREEN\", 1: \"YELLOW\", 2: \"RED\", 3: \"UNKNOWN\"}\n\n if self.capture_images:\n cv2.imwrite(self.imgPath+str(int(time.clock()*1000))+'.jpg', image)\n print('[TLClassifier] Saved Image ... ')\n\n if self.debug:\n print('[TL Classifier] invoked... ')\n\n if image.shape != (300, 200, 3):\n print('[TL Classifier] image shape NOK: ' + str(image.shape))\n return \"UNKNOWN shape\"\n \n assert image.shape == (300, 200, 3)\n if self.debug:\n print('[TL Classifier] assertion ok: ')\n\n res = None\n res = cv2.resize(image, (32,32), interpolation = cv2.INTER_CUBIC)\n image = res.reshape(1, 32, 32, 3)\n classification = self.model.predict_classes(image, verbose=0)[0]\n result = choices.get(classification, 'UNKNOWN')\n\n if self.verbose:\n print('[TL Classifier] ' + result + ' detected.')\n\n return result","def get_classification(self, image):\n if self.classifier is None:\n self.classifier = TrafficLightClassifier('./light_classification/tensor/linux_tensor0.999')\n \n lights = (TrafficLight.RED, TrafficLight.YELLOW, TrafficLight.GREEN)\n return lights[self.classifier.classifyImage(image)]\n \n return TrafficLight.UNKNOWN","def get_label(urs):\n return assign_term(urs)[1]","def get_label(self, hierarchy: List[str]) -> Any:","def name(self) -> str:\n return self.class_names[self.class_num]","def get_label(self, offset):\n self.ret = idc.GetDisasm(offset).replace(\"extrn \", \"\").split(\":\")[0]\n return self.ret","def getSlavename():","def predict_class(self, original_image_numpy: np.ndarray) -> None:\n from app.dl_model.image import ClassifierInput\n # scale up coordinates\n self.scale_up_coordinates()\n x1, y1, x2, y2 = [int(coord) for coord in self.scale_coordinates.round()]\n # crop original numpy image\n numpy_image = original_image_numpy[y1:y2, x1:x2, :].copy()\n # create classifier input object\n classifier_input = ClassifierInput(numpy_image, new_shape=(224, 224))\n # classify input\n prediction = classifier_input.predict_class()\n # set attributes\n self.class_name = prediction.class_name # update class_name\n self.conf = prediction.conf # update probability\n self.product_id = prediction.product_id # set product external id\n self.detection_index = prediction.detection_index # set detection index\n self.top_k_names = prediction.top_k_names # set top k names list\n self.top_k_indices = prediction.top_k_indices # set top k detection index\n self.top_k_confidences = prediction.top_k_confidences # set top k confidieces values\n self.top_k_product_ids = prediction.top_k_product_ids # set top k product external ids","def fromLabel(name):\n return Data.labels.index(name)","def get_classification(self, image):\n\tresult = TrafficLight.UNKNOWN\n\n\t\"\"\"Convert the image into the proper format\"\"\"\n#\timage_np = self.load_image_into_numpy_array(image)\n\tself.image_np_expanded = np.expand_dims(image, axis=0)\n\n\t\"\"\"Apply detection\"\"\"\n\t(boxes, scores, classes, num) = self.sess.run(\n [self.detection_boxes, self.detection_scores, self.detection_classes, self.num_detections],\n feed_dict={self.image_tensor: self.image_np_expanded})\n\n\t\"\"\"And check if a green/Red light has been found\"\"\"\n\tif( num > 0):\n\t #find the highest score in the scores list\n\t max_score_idx = np.squeeze(scores).argmax()\n\t # and get the class going with this score\n\t tf_result = np.squeeze(classes).astype(np.int32)[max_score_idx]\n\t # convert from the TF result to internal format\n\t if( tf_result == 1 ):\n\t\tresult = TrafficLight.GREEN\n\t elif( tf_result == 2 ):\n\t\tresult = TrafficLight.RED\n\t elif( tf_result == 3 ):\n\t\tresult = TrafficLight.YELLOW\n\n\treturn result","def image_name(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"image_name\")","def image_name(self) -> Optional[pulumi.Input[str]]:\n return pulumi.get(self, \"image_name\")","def predict_class(self, image_path):\n\n img_array = self.process_image(image_path)\n predictions = self.model.predict(img_array)\n vehicle = self._mappings[np.argmax(abs(predictions))]\n return vehicle","def get_name():\n return \"SVM+\"","def _get_label ( self ):\n if self._label is not None:\n return self._label\n return self.name"],"string":"[\n \"def name_to_label(self, name):\\n\\t\\t\\treturn self.classes[name]\",\n \"def name_to_label(self, name):\\n\\t\\treturn self.classes[name]\",\n \"def get_imagenet_label(index):\\n global _CLASS_INDEX\\n if _CLASS_INDEX is None:\\n with open(os.path.join(os.path.dirname(__file__), '../resources/imagenet_class_index.json')) as f:\\n _CLASS_INDEX = json.load(f)\\n return _CLASS_INDEX[str(index)][1]\",\n \"def get_label(image, model):\\n x = Variable(image, volatile=True)\\n label = model(x).data.max(1)[1].numpy()[0]\\n # We have string labels for ImageNet\\n if isinstance(model, torchvision.models.inception.Inception3):\\n label_string = labels.get(label)\\n return label_string\\n return label\",\n \"def name_to_label(self, name):\\n return self.classes[name]\",\n \"def classify_image(img_pil):\\n results = tpu.ClassifyWithImage(img_pil, top_k=1)\\n if len(results) == 0:\\n return None, None\\n i, score = results[0]\\n label = labels[i]\\n # print(label + \\\": \\\" + str(score))\\n return label, score\",\n \"def ocr_core_names(img):\\n text = pytesseract.image_to_string(\\n img,\\n lang='eng',\\n config='--psm 7 --oem 3'\\n )\\n return text\",\n \"def get_classification(self, image):\\n # Image pre-processing pipeline\\n img = cv2.resize(image, None, fx=0.5, fy=0.5)\\n img = img.astype(np.float32)\\n img = keras.applications.vgg16.preprocess_input(img)\\n # Execute prediction\\n probs = self.model.predict(np.array([img]), batch_size=1, verbose=1)[0]\\n # get label with max probability\\n g_x = np.argmax(probs)\\n\\n # reject if model is not confident\\n if probs[g_x] < CONFIDENCE_THRESHOLD:\\n return TrafficLight.UNKNOWN\\n\\n label = self.predictionary[g_x]\\n rospy.loginfo(\\\"label: %d, conf: %f, %f, %f, %f\\\", g_x, probs[0], probs[1], probs[2], probs[3])\\n return label\",\n \"def get_label(client, label):\\n image_name = get_image_name()\\n image = client.images.get(image_name)\\n try:\\n return image.labels[label]\\n except KeyError:\\n raise Exception(f\\\"Image should have a label '{label}'\\\")\",\n \"def overlay_class_names(self, image, predictions):\\n scores = predictions.get_field(\\\"scores\\\").tolist()\\n labels = predictions.get_field(\\\"labels\\\").tolist()\\n labels = [self.CATEGORIES[int(i)] for i in labels]\\n boxes = predictions.bbox\\n\\n template = \\\"{}: {:.2f}\\\"\\n for box, score, label in zip(boxes, scores, labels):\\n x, y = box[:2]\\n s = template.format(label, score)\\n cv2.putText(\\n image, s, (x, y), cv2.FONT_HERSHEY_SIMPLEX, .5, (255, 255, 255), 1\\n )\\n\\n return image\",\n \"def _get_label(cls, file_name):\\n if cls == \\\"neg\\\":\\n return \\\"0\\\"\\n else:\\n return \\\"1\\\"\\n # reg = _REGEX_\\n # rmtch = reg.match(file_name)\\n # if rmtch:\\n # return rmtch.groupdict()[\\\"label\\\"]\\n # else:\\n # return \\\"unknown_positive\\\"\",\n \"def GetImageLabelFromImage(image, parent=None):\\n pixmap = GetPixelMapFromImage(image)\\n return GetImageLabelFromPixelMap(pixmap, parent=parent)\",\n \"def get_imagenet_classnames():\\r\\n return np.loadtxt(open(path_data+'/ilsvrc_2012_labels.txt'), dtype=object, delimiter='\\\\n')\",\n \"def show_class_name(img, pos, class_str, font_scale=0.35):\\n\\n img = img.astype(np.uint8)\\n x0, y0 = int(pos[0]), int(pos[1])\\n \\n # Compute text size.\\n txt = class_str\\n font = cv2.FONT_HERSHEY_SIMPLEX\\n ((txt_w, txt_h), _) = cv2.getTextSize(txt, font, font_scale, 1)\\n \\n # Place text background.\\n back_tl = x0, y0 - int(1.3 * txt_h)\\n back_br = x0 + txt_w, y0\\n cv2.rectangle(img, back_tl, back_br, _GREEN, -1)\\n \\n # Show text.\\n txt_tl = x0, y0 - int(0.3 * txt_h)\\n cv2.putText(img, txt, txt_tl, font, font_scale, _GRAY, lineType=cv2.LINE_AA)\\n return img\",\n \"def get_classname(self):\\n return 'ImageFilm'\",\n \"def overlay_class_names(image, predictions):\\n scores = predictions.get_field(\\\"scores\\\").tolist()\\n labels = predictions.get_field(\\\"labels\\\").tolist()\\n labels_text = [CATEGORIES[i] for i in labels]\\n boxes = predictions.bbox\\n\\n img_h, img_w, _ = image.shape\\n\\n template = \\\"{} {}: {:.2f}\\\"\\n abv_map = {\\n 'annotation_image': 'am',\\n 'annotation_text': 'at',\\n 'event_image': 'em',\\n 'event_text': 'et',\\n 'main_body': 'mb'\\n }\\n for c_label in DRAW_ORDER:\\n for b_id, (box, score, label, label_text) in enumerate(zip(boxes, scores, labels, labels_text)):\\n if label != c_label:\\n continue\\n x, y = box[:2]\\n color = CATEGORIES_COLOR[label]\\n label_text = abv_map.get(label_text, label_text)\\n s = template.format(b_id, label_text, score)\\n fontScale = img_w / 2000.0\\n (text_width, text_height) = cv2.getTextSize(s, cv2.FONT_HERSHEY_SIMPLEX, fontScale=fontScale, thickness=1)[0]\\n box_coords = ((x, y), (x + text_width - 2, y - text_height - 2))\\n cv2.rectangle(image, box_coords[0], box_coords[1], color, cv2.FILLED)\\n cv2.putText(\\n image, s, (x, y), cv2.FONT_HERSHEY_SIMPLEX, fontScale, (255, 255, 255), 1\\n )\\n\\n return image\",\n \"def get_label(img_path):\\n img_name = img_path.stem\\n label_name = img_name + \\\".txt\\\"\\n label_path = img_path.parent / label_name\\n with open(label_path) as f:\\n label = json.load(f)\\n return label\",\n \"def _get_label(self):\\n if self.model.name == '':\\n return \\\"KPI\\\"\\n return \\\"KPI: {} ({})\\\".format(self.model.name, self.model.objective)\",\n \"def extract_labels(filename, num_images):\\n gt_imgs = []\\n for i in range(1, num_images+1):\\n imageid = \\\"satImage_%.3d\\\" % i\\n image_filename = filename + imageid + \\\".png\\\"\\n if os.path.isfile(image_filename):\\n print ('Loading ' + image_filename)\\n img = mpimg.imread(image_filename)\\n gt_imgs.append(img)\\n else:\\n print ('File ' + image_filename + ' does not exist')\\n\\n num_images = len(gt_imgs)\\n gt_patches = [img_crop(gt_imgs[i], IMG_PATCH_SIZE, IMG_PATCH_SIZE, 0, False) for i in range(num_images)]\\n data = numpy.asarray([gt_patches[i][j] for i in range(len(gt_patches)) for j in range(len(gt_patches[i]))])\\n labels = numpy.asarray([value_to_class(numpy.mean(data[i])) for i in range(len(data))])\\n\\n # Convert to dense 1-hot representation.\\n return labels.astype(numpy.float32)\",\n \"def _classify(self, example):\\n neighbors = self.find_neighbor(example)\\n class_label = self.find_response(neighbors)\\n return class_label\",\n \"def label_to_class_name(label):\\n try:\\n genre_label = pd.read_csv(path.join(DATA_PATH, 'genre_labels.csv'))\\n return genre_label[genre_label['label'] == int(label)]['genre'].values[\\n 0]\\n except IOError:\\n return label\",\n \"def get_label(repo, title, verbose=None):\\n if verbose:\\n print \\\"Checking for label...\\\"\\n label = None\\n label_text = None\\n try:\\n label_start = 1 + title.index('(')\\n label_end = title.index(')')\\n label_text = title[label_start:label_end]\\n except ValueError, e:\\n print \\\"Warning: This tile has no embeded label. {0}\\\".format(e)\\n if label_text:\\n try:\\n label = [repo.get_label(label_text)]\\n if verbose:\\n print \\\"Found label: {0}\\\".format(label)\\n except UnknownObjectException, e:\\n print \\\"Error: The label '{0}' does not exist on \\\" \\\\\\n \\\"Github. {1}\\\".format(label_text, e)\\n return label\",\n \"def _parse_classification(self, item):\\n full_name = item.css('td[headers=Name]::text').extract_first()\\n\\n if \\\"Metra\\\" in full_name and \\\"Board Meeting\\\" in full_name:\\n return BOARD\\n elif \\\"Citizens Advisory\\\" in full_name:\\n return ADVISORY_COMMITTEE\\n elif \\\"Committee Meeting\\\" in full_name:\\n return COMMITTEE\\n else:\\n return NOT_CLASSIFIED\",\n \"def get_label(self, name):\\n label_list = self.wls_board.get_labels()\\n for label in label_list:\\n if name in label.name: \\n return label\",\n \"def getImageLabels(bucket, key):\\n client = boto3.client('rekognition')\\n resp = client.detect_labels(\\n Image={\\n 'S3Object': {\\n 'Bucket': bucket,\\n 'Name': key\\n }\\n }\\n )\\n\\n output = []\\n # I'm assuming that we only need the name labels to return to the customer. \\n for label in resp['Labels']:\\n output.append(label['Name'])\\n return output\",\n \"def getImageName(self):\\r\\n return self.imageName\",\n \"def get_classification(self, image):\\n # Run inference on image\\n prediction = None\\n prediction = inferOnImage(self.sess, self.model_logits, self.X, image)\\n\\n # Convert number into label just for debug\\n prediction_label = None\\n if prediction[0] == 0:\\n prediction_label = \\\"RED\\\"\\n elif prediction[0] == 1:\\n prediction_label = \\\"GREEN\\\"\\n elif prediction[0] == 2:\\n prediction_label = \\\"NOLIGHT\\\"\\n\\n # Log the message\\n rospy.loginfo(\\\"The label returned is %s\\\", prediction_label)\\n\\n # Return Unknown for now\\n return TrafficLight.UNKNOWN\",\n \"def extract_labels(filename, num_images, starting_id, context_factor):\\n gt_imgs = []\\n for i in range(starting_id, num_images+starting_id):\\n imageid = \\\"satImage_%.3d\\\" % i\\n image_filename = filename + imageid + \\\".png\\\"\\n if os.path.isfile(image_filename):\\n print ('Loading ' + image_filename)\\n img = mpimg.imread(image_filename)\\n gt_imgs.append(img)\\n else:\\n print ('File ' + image_filename + ' does not exist')\\n\\n num_images = len(gt_imgs)\\n # it means that we base our labels only on the core of the patch, not including the contet added\\n context_factor = 0\\n gt_patches = [img_crop_context(gt_imgs[i], IMG_PATCH_SIZE, IMG_PATCH_SIZE,context_factor) for i in range(num_images)]\\n data = np.asarray([gt_patches[i][j] for i in range(len(gt_patches)) for j in range(len(gt_patches[i]))])\\n labels = np.asarray([value_to_class(np.mean(data[i])) for i in range(len(data))])\\n\\n # Convert to dense 1-hot representation.\\n return labels.astype(np.float32)\",\n \"def _get_img_label(self, path):\\n food_items = self.annotations[path]\\n tomato_items = [\\n item for item in food_items\\n if item['id'] in self.tomato_label_ids\\n ]\\n return 1 if len(tomato_items) > 0 else 0\",\n \"def get_label_name(label):\\n\\tindex = np.argmax(label)\\n\\tlabels = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\\n\\treturn labels[int(index)]\",\n \"def _ImageName(self, image):\\n\\n image_without_protocol = image.split('/')[-1]\\n if '@' in image_without_protocol:\\n return image_without_protocol.split('@')[0]\\n elif ':' in image:\\n return image_without_protocol.split(':')[0]\\n else:\\n return image_without_protocol\",\n \"def get_classification(self, image):\\n image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\\n image = cv2.resize(image, (360,270), interpolation = cv2.INTER_CUBIC)\\n\\n with self.graph.as_default():\\n result = self.model.predict(image[None, :, :, :], batch_size=1).squeeze()\\n id = np.argmax(result)\\n return id, result[id]\",\n \"def label_image(image):\\n \\n #Label the blobs using ndimage\\n labeled_blobs, n_features = ndimage.label(b_image)\\n \\n #calculate the center of mass of each labelled feature\\n centers = ndimage.center_of_mass(b_image, labeled_blobs, np.arange(n_features) + 1)\\n \\n return labeled_blobs, n_features, centers\",\n \"def classify_image(img_path: str, model=None, pretrained_state_path: str = None):\\n if model is None:\\n if pretrained_state_path is None:\\n model = models.vgg16(pretrained=True)\\n else:\\n state_dict = torch.load(pretrained_state_path)\\n model = models.vgg16()\\n model.load_state_dict(state_dict)\\n img = preprocess_image(img_path)\\n output = model(img)\\n # Getting the max of the soft max layer.\\n prediction = output.data.numpy().argmax()\\n return labels[prediction]\",\n \"def get_label(filename:str) -> str:\\n label = filename.split(\\\"/\\\")[-2]\\n return label\",\n \"def get_classification(self, image):\\n\\n imrs = cv2.resize(image, (64, 64)) \\n imrs = imrs.astype(float)\\n imrs = imrs / 255.0\\n \\n imrs = imrs[newaxis, :, :, :]\\n\\n with self.graph.as_default():\\n preds = self.model.predict(imrs)\\n \\n predicted_class = np.argmax(preds, axis=1)\\n\\n choices = {0: TrafficLight.RED,\\n 1: TrafficLight.YELLOW,\\n 2: TrafficLight.GREEN,\\n 3: TrafficLight.UNKNOWN}\\n return choices.get(predicted_class[0], TrafficLight.GREEN)\",\n \"def get_nickname(image):\\r\\n extension = len(image.split('/')[-1:][0].split('.')[-1:][0])\\r\\n return image.split('/')[-1:][0][:-extension-1]\",\n \"def predict_car():\\n img = open_image(request.files['image'])\\n pred_class, pred_idx, outputs = learn.predict(img)\\n return str(pred_class)\",\n \"def get_labels(fasta_file):\\n\\t\\tbase_name = basename(fasta_file)\\n\\t\\tname = splitext(base_name)[0]\\n\\t\\tlabel = name.split(\\\"_\\\")[-1]\\n\\t\\tassert label == \\\"pos\\\" or label == \\\"hard\\\", \\\"AssertionError: label {} not found, possible labels pos, hard.\\\"\\n\\t\\tif label == \\\"pos\\\":\\n\\t\\t\\treturn \\\"Toxin\\\"\\n\\t\\telif label == \\\"hard\\\":\\n\\t\\t\\treturn \\\"No_toxin\\\"\",\n \"def _restore_image_name(self, data: Dict[str, str]) -> ImageName:\\n return ImageName.parse(data[\\\"str\\\"])\",\n \"def _target_from_filename(filename):\\n # Sample filename: PSI_Tray031_2015-12-26--17-38-25_top.png\\n filename_regex = re.search(r'\\\\d+_([a-z]+).png', str(filename))\\n str_label = filename_regex.groups()[0]\\n label_dict = {'high': 1.0, 'low': 0.0}\\n return label_dict[str_label]\",\n \"def get_name():\\n return \\\"SVM\\\"\",\n \"def classifyPhaseImage(fr_nb):\\n phase_path = os.path.join(\\\"..\\\",'data','microglia','Beacon-1 unst',\\\"Scene1Interval\\\"+str(fr_nb)+\\\"_PHASE.png\\\")\\n \\n phase= Image.open(phase_path)\\n phase = np.asarray(phase)\\n X=phase.reshape(-1,1)\\n from sklearn.cluster import KMeans\\n kmeans = KMeans(n_clusters=3).fit(X)\\n classified = kmeans.labels_\\n classified=classified.reshape(phase.shape)\\n si2(phase,classified,\\\"Phase image\\\",\\\"Classification\\\")\\n return classified\",\n \"def get_label(name):\\n lower = name.lower()\\n vals = lower.split('_')\\n if 'ho' in vals:\\n name = 'Independent Estimate'\\n elif 'alldata' in vals:\\n name = 'Extra-Data Estimate'\\n elif 'ris' in vals[0]:\\n name = 'RIS'\\n if 'w' in vals[0]:\\n name += ' WIS'\\n if 'pd' in vals[0]:\\n name += ' PDIS'\\n elif 'is' in vals[0]:\\n name = 'OIS'\\n if 'w' in vals[0]:\\n name += ' WIS'\\n if 'pd' in vals[0]:\\n name += ' PDIS'\\n if 'dr' in vals:\\n name += ' DR'\\n if 'wdr' in vals:\\n name += ' WDR'\\n return name\",\n \"def get_name():\\n return \\\"SVM Idea\\\"\",\n \"def get_classification(self, image):\\n # Image pre-processing pipleine\\n img = np.float32(image)\\n img = preprocess_input(img)\\n img = cv2.resize(img, (299, 299))\\n img = np.expand_dims(img, 0)\\n # Execute model's predictions - return probability value for each of 4 classes\\n probs = self.model.predict(img)[0]\\n # get class with max probability\\n g_x = np.argmax(probs)\\n\\n # reject if model is not confident about the prediction\\n if probs[g_x] < CONFIDENCE_THRESHOLD:\\n return TrafficLight.UNKNOWN\\n\\n # Swap label values as model was trained with different label values\\n if g_x == 2:\\n prediction = 0 # Red\\n elif g_x == 0:\\n prediction = 2 # Green\\n elif g_x == 3:\\n prediction = 1 # Yellow\\n else:\\n prediction = 3 # No light\\n\\n # Log the message\\n rospy.loginfo(\\\"The label returned is %d\\\", prediction)\\n\\n # Return the light state corresponding to the index\\n return prediction\",\n \"def predLabel(self, DataMatrix):\\n self.predict(DataMatrix)\\n # Calculamos el valor mas alto, y a partir de este obtenemos el nombre de la etiqueta\\n tags = [self.classes[np.argmax(elem)] for elem in self.data]\\n return tags\",\n \"def bb_labelname(hit):\\n try:\\n real_name = hit.group(1)\\n L = Label.objects.get(name=real_name)\\n T = loader.get_template('webview/t/label.html')\\n C = Context({ 'L' : L })\\n return T.render(C)\\n except:\\n # This will throw if the requested label is spelt incorrectly, or doesnt exist\\n return '<img src=\\\"/static/transmit.png\\\" alt=\\\"Invalid Label\\\" border=\\\"0\\\" /> %s' % (real_name)\",\n \"def get_classification(self, image):\\n \\n img = cv2.resize(src=image, dsize=(IN_IMAGE_HEIGHT,IN_IMAGE_WIDTH))\\n img = img.astype(float)\\n img = img / 255.0\\n\\n img = img[np.newaxis,:,:,:]\\n\\n with self.graph.as_default():\\n predictions = self.model.predict(img)\\n predicted_cat = np.argmax(predictions,axis=1)\\n\\n light = predicted_cat[0]\\n# rospy.logwarn(\\\"Predicted = %i \\\", light)\\n if(light==0):\\n return TrafficLight.GREEN\\n elif(light==1):\\n return TrafficLight.YELLOW\\n elif(light==2):\\n return TrafficLight.RED\\n return TrafficLight.UNKNOWN\",\n \"def extract_label(selector):\\n return selector.split('=')[-1][:-1]\",\n \"def get_classification(self, image):\\n if self.model is not None:\\n im = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\\n im = im.astype('float32')\\n im = preprocess_input(im)\\n im_array = np.asarray(im)\\n transformed_im_array = im_array[None, :, :, :]\\n with self.graph.as_default():\\n preds = self.model.predict(transformed_im_array, batch_size=1)\\n return np.argmax(preds[0])\\n return TrafficLight.UNKNOWN\",\n \"def image_name(name):\\n \\n # Gets the '.' position\\n dot = name.find('.')\\n # Slice the name from beginning and before '.'\\n img = name[:dot]\\n # return string with jpg format\\n return \\\"{}.jpg\\\".format(img)\",\n \"def get_label(cls) -> str:\\n return cls._meta.label_lower.split('.')[-1]\",\n \"def get_classification(self, image):\\n if self.model_type == 'tf':\\n return self.run_tf_classifier(image)\\n elif self.model_type == 'keras':\\n return self.run_keras_classifier(image)\\n else:\\n return TrafficLight.UNKNOWN\",\n \"def get_label_image(probs, img_h, img_w):\\n\\n labels = probs.argmax(axis=2).astype('uint8')[:img_h, :img_w]\\n label_im = Image.fromarray(labels, 'P')\\n label_im.putpalette(_PALETTE)\\n return label_im\",\n \"def create_label(self, loaded_img, loaded_label):\\n _, label = cv2.threshold(loaded_label, 120, 255, cv2.THRESH_BINARY)\\n kernel = np.ones((5, 5), np.uint8)\\n label = cv2.dilate(label, kernel, iterations=1)\\n _, contours, _ = cv2.findContours(label, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\\n if contours:\\n areas = [cv2.contourArea(cnt) for cnt in contours]\\n x, y, w, h = cv2.boundingRect(contours[np.argmax(areas)])\\n label = label[y:y + h, x:x + w]\\n return loaded_img.astype(np.float32) / 255, cv2.resize(label, (self.label_w, self.label_h)).astype(np.float32) / 255\\n else:\\n return loaded_img.astype(np.float32) / 255, np.zeros([self.label_h, self.label_w], dtype=np.float32)\",\n \"def image_name(self) -> pulumi.Output[Optional[str]]:\\n return pulumi.get(self, \\\"image_name\\\")\",\n \"def name(self, strippath=False):\\n return _image.image_name(self, strippath)\",\n \"def labels_to_cityscapes_palette(image):\\n classes=ZHANG_classes \\n result =np.zeros((img.shape[0], img.shape[1], 3),dtype=np.uint8)\\n for key, value in classes.items():\\n result[np.where(img == key)] = value\\n return result\",\n \"def predict_label(img, net_model, label):\\n img1 = cv2.resize(img, (80, 80))\\n predict = net_model.predict(img1.reshape(1, 80, 80, 3))\\n maxi = predict[0][0]\\n curs = 0\\n test = 0\\n for i, pred in enumerate(predict[0]):\\n test += pred\\n if pred > maxi:\\n maxi = pred\\n curs = i\\n return label[curs]\",\n \"def predLabel(self, DataMatrix):\\n self.predict(DataMatrix)\\n # Calculamos el valor mas alto, y a partir de este obtenemos el nombre de la etiqueta\\n tags = [[self.classes[np.argmax(subrow)] for subrow in row] for row in self.data]\\n return tags\",\n \"def image_classes():\\n\\n image_data_path = PROJECT_ROOT + \\\"/data/CUB_200_2011/\\\"\\n\\n # <class_id> <class_name>\\n classes = open(image_data_path + \\\"classes.txt\\\").readlines()\\n classes = [i.strip().split() for i in classes]\\n\\n # <image_id> <class_id>\\n labels = open(image_data_path + \\\"image_class_labels.txt\\\").readlines()\\n labels = [i.strip().split() for i in labels]\\n\\n class_ids = {}\\n for i in classes:\\n class_ids[i[1]] = int(i[0])\\n\\n label_ids = {}\\n for i in labels:\\n label_ids[int(i[0])] = int(i[1])\\n\\n return class_ids, label_ids\",\n \"def classname(self):\\n if not self.has_classname():\\n return \\\"\\\"\\n\\n classname_offset = self.unpack_dword(0x30)\\n classname_length = self.unpack_word(0x4A)\\n\\n offset = self.abs_offset_from_hbin_offset(classname_offset)\\n d = HBINCell(self._buf, offset, self)\\n return struct.unpack_from(str(\\\"<%ds\\\") % (classname_length), self._buf, d.data_offset())[0].decode(\\\"utf-16le\\\").rstrip(\\\"\\\\x00\\\")\",\n \"def get_emotion_label(self, file_name):\\n file_name = file_name[:-4]\\n emotion_name = file_name.split('_')[-1] # the last is a position of emotion code\\n return emotion_name\",\n \"def get_name():\\n return \\\"SVMd+ - simplified approach\\\"\",\n \"def classify_image(image):\\n image_path = image.filename\\n image_data = np.array(Image.open(image.stream))\\n image_data = skimage.img_as_float(image_data).astype(np.float2)\\n with classifier_lock:\\n classification = classifier.predict([image_data])[0]\\n return {\\\"suggested_tags\\\": predicted_tags(classification),\\n \\\"classification_vector\\\": classification,\\n \\\"image_url\\\": image_path}\",\n \"def __getitem__(self, ind):\\n image = Image.open(os.path.join(self.root_dir,self.image_fns[ind]))\\n #If a transform is specified, apply it\\n if self.transform is not None:\\n image = self.transform(image)\\n \\n # Verify that image is in Tensor format\\n #if type(image) is not torch.Tensor:\\n # image = transform.ToTensor(image)\\n\\n # Convert multi-class label into binary encoding \\n\\n label = self.labels[ind]\\n \\n # Return the image and its label\\n return (image, label)\",\n \"def label(image,**kw):\\n # default connectivity in OpenCV: 8 (which is equivalent to...)\\n # default connectivity in scikit-image: 2\\n n, labels = cv2.connectedComponents(image.astype(uint8), connectivity=4)\\n #n, labels = cv2.connectedComponentsWithAlgorithm(image.astype(uint8), connectivity=4, ltype=2, ccltype=cv2.CCL_DEFAULT)\\n return labels, n-1\\n # try: return measurements.label(image,**kw)\\n # except: pass\\n # types = [\\\"int32\\\",\\\"uint32\\\",\\\"int64\\\",\\\"uint64\\\",\\\"int16\\\",\\\"uint16\\\"]\\n # for t in types:\\n # try: return measurements.label(array(image,dtype=t),**kw)\\n # except: pass\\n # # let it raise the same exception as before\\n # return measurements.label(image,**kw)\",\n \"def __getitem__(self, idx):\\n img = self.images[idx]\\n label = self.labels[idx].split(\\\" \\\")[-1]\\n img = Image.open(img)\\n img = img.convert('RGB')\\n img = self.transform(img)\\n return(img, label[:-1])\",\n \"def get_class_name(dataset, target):\\n if dataset == \\\"mpeg7\\\":\\n if target == 0: return \\\"Bone\\\"\\n if target == 1: return \\\"Comma\\\"\\n if target == 2: return \\\"Glas\\\"\\n if target == 3: return \\\"HCircle\\\"\\n if target == 4: return \\\"Heart\\\"\\n if target == 5: return \\\"Misk\\\"\\n if target == 6: return \\\"apple\\\"\\n if target == 7: return \\\"bat\\\"\\n if target == 8: return \\\"beetle\\\"\\n if target == 9: return \\\"bell\\\"\\n if target == 10: return \\\"bird\\\"\\n if target == 11: return \\\"bottle\\\"\\n if target == 12: return \\\"brick\\\"\\n if target == 13: return \\\"butterfly\\\"\\n if target == 14: return \\\"camel\\\"\\n if target == 15: return \\\"car\\\"\\n if target == 16: return \\\"carriage\\\"\\n if target == 17: return \\\"cattle\\\"\\n if target == 18: return \\\"cellular_phone\\\"\\n if target == 19: return \\\"chicken\\\"\\n if target == 20: return \\\"children\\\"\\n if target == 21: return \\\"chopper\\\"\\n if target == 22: return \\\"classic\\\"\\n if target == 23: return \\\"crown\\\"\\n if target == 24: return \\\"cup\\\"\\n if target == 25: return \\\"deer\\\"\\n if target == 26: return \\\"device0\\\"\\n if target == 27: return \\\"device1\\\"\\n if target == 28: return \\\"device2\\\"\\n if target == 29: return \\\"device3\\\"\\n if target == 30: return \\\"device4\\\"\\n if target == 31: return \\\"device5\\\"\\n if target == 32: return \\\"device6\\\"\\n if target == 33: return \\\"device7\\\"\\n if target == 34: return \\\"device8\\\"\\n if target == 35: return \\\"device9\\\"\\n if target == 36: return \\\"dog\\\"\\n if target == 37: return \\\"elephant\\\"\\n if target == 38: return \\\"face\\\"\\n if target == 39: return \\\"fish\\\"\\n if target == 40: return \\\"flatfish\\\"\\n if target == 41: return \\\"fly\\\"\\n if target == 42: return \\\"fork\\\"\\n if target == 43: return \\\"fountain\\\"\\n if target == 44: return \\\"frog\\\"\\n if target == 45: return \\\"guitar\\\"\\n if target == 46: return \\\"hammer\\\"\\n if target == 47: return \\\"hat\\\"\\n if target == 48: return \\\"horse\\\"\\n if target == 49: return \\\"horseshoe\\\"\\n if target == 50: return \\\"jar\\\"\\n if target == 51: return \\\"key\\\"\\n if target == 52: return \\\"lizzard\\\"\\n if target == 53: return \\\"lmfish\\\"\\n if target == 54: return \\\"octopus\\\"\\n if target == 55: return \\\"pencil\\\"\\n if target == 56: return \\\"personal_car\\\"\\n if target == 57: return \\\"pocket\\\"\\n if target == 58: return \\\"rat\\\"\\n if target == 59: return \\\"ray\\\"\\n if target == 60: return \\\"sea_snake\\\"\\n if target == 61: return \\\"shoe\\\"\\n if target == 62: return \\\"spoon\\\"\\n if target == 63: return \\\"spring\\\"\\n if target == 64: return \\\"stef\\\"\\n if target == 65: return \\\"teddy\\\"\\n if target == 66: return \\\"tree\\\"\\n if target == 67: return \\\"truck\\\"\\n if target == 68: return \\\"turtle\\\"\\n if target == 69: return \\\"watch\\\"\\n\\n if dataset == \\\"leaf\\\":\\n if target == 0: return \\\"Acer_Capillipes\\\"\\n if target == 1: return \\\"Betula_Austrosinensis\\\"\\n if target == 2: return \\\"Castanea_Sativa\\\"\\n if target == 3: return \\\"Eucalyptus_Glaucescens\\\"\\n if target == 4: return \\\"Fagus_Sylvatica\\\"\\n if target == 5: return \\\"Ginkgo_Biloba\\\"\\n if target == 6: return \\\"Ilex_Aquifolium\\\"\\n if target == 7: return \\\"Liquidambar_Styraciflua\\\"\\n if target == 8: return \\\"Magnolia_Heptapeta\\\"\\n if target == 9: return \\\"Olea_Europaea\\\"\\n if target == 10: return \\\"Populus_Adenopoda\\\"\\n if target == 11: return \\\"Quercus_Afares\\\"\\n if target == 12: return \\\"Rhododendron_x_Russellianum\\\"\\n if target == 13: return \\\"Salix_Fragilis\\\"\\n if target == 14: return \\\"Tilia_Oliveri\\\"\\n if target == 15: return \\\"Ulmus_Bergmanniana\\\"\\n if target == 16: return \\\"Viburnum_x_Rhytidophylloides\\\"\\n if target == 17: return \\\"Zelkova_Serrata\\\"\\n\\n if dataset == \\\"fashion_mnist\\\":\\n if target == 0: return \\\"Ankle_boot\\\"\\n if target == 1: return \\\"Bag\\\"\\n if target == 2: return \\\"Coat\\\"\\n if target == 3: return \\\"Dress\\\"\\n if target == 4: return \\\"Pullover\\\"\\n if target == 5: return \\\"Sandal\\\"\\n if target == 6: return \\\"Shirt\\\"\\n if target == 7: return \\\"Sneaker\\\"\\n if target == 8: return \\\"T_shirt\\\"\\n if target == 9: return \\\"Trouser\\\"\\n\\n if dataset == \\\"nist\\\":\\n if target == 0: return \\\"0\\\"\\n if target == 1: return \\\"1\\\"\\n if target == 2: return \\\"2\\\"\\n if target == 3: return \\\"3\\\"\\n if target == 4: return \\\"4\\\"\\n if target == 5: return \\\"5\\\"\\n if target == 6: return \\\"6\\\"\\n if target == 7: return \\\"7\\\"\\n if target == 8: return \\\"8\\\"\\n if target == 9: return \\\"9\\\"\\n if target == 10: return \\\"A\\\"\\n if target == 11: return \\\"B\\\"\\n if target == 12: return \\\"C\\\"\\n if target == 13: return \\\"D\\\"\\n if target == 14: return \\\"E\\\"\\n if target == 15: return \\\"F\\\"\\n if target == 16: return \\\"G\\\"\\n if target == 17: return \\\"H\\\"\\n if target == 18: return \\\"I\\\"\\n if target == 19: return \\\"J\\\"\\n if target == 20: return \\\"K\\\"\\n if target == 21: return \\\"L\\\"\\n if target == 22: return \\\"M\\\"\\n if target == 23: return \\\"N\\\"\\n if target == 24: return \\\"O\\\"\\n if target == 25: return \\\"P\\\"\\n if target == 26: return \\\"Q\\\"\\n if target == 27: return \\\"R\\\"\\n if target == 28: return \\\"S\\\"\\n if target == 29: return \\\"T\\\"\\n if target == 30: return \\\"U\\\"\\n if target == 31: return \\\"V\\\"\\n if target == 32: return \\\"W\\\"\\n if target == 33: return \\\"X\\\"\\n if target == 34: return \\\"Y\\\"\\n if target == 35: return \\\"Z\\\"\\n if target == 36: return \\\"a\\\"\\n if target == 37: return \\\"b\\\"\\n if target == 38: return \\\"c\\\"\\n if target == 39: return \\\"d\\\"\\n if target == 40: return \\\"e\\\"\\n if target == 41: return \\\"f\\\"\\n if target == 42: return \\\"g\\\"\\n if target == 43: return \\\"h\\\"\\n if target == 44: return \\\"i\\\"\\n if target == 45: return \\\"j\\\"\\n if target == 46: return \\\"k\\\"\\n if target == 47: return \\\"l\\\"\\n if target == 48: return \\\"m\\\"\\n if target == 49: return \\\"n\\\"\\n if target == 50: return \\\"o\\\"\\n if target == 51: return \\\"p\\\"\\n if target == 52: return \\\"q\\\"\\n if target == 53: return \\\"r\\\"\\n if target == 54: return \\\"s\\\"\\n if target == 55: return \\\"t\\\"\\n if target == 56: return \\\"u\\\"\\n if target == 57: return \\\"v\\\"\\n if target == 58: return \\\"w\\\"\\n if target == 59: return \\\"x\\\"\\n if target == 60: return \\\"y\\\"\\n if target == 61: return \\\"z\\\"\",\n \"def create_readable_names_for_imagenet_labels():\\n\\n base_url = 'http://cnbj1-fds.api.xiaomi.net/ml-datasets/imagenet/' # noqa\\n synset_url = '{}/imagenet_lsvrc_2015_synsets.txt'.format(base_url)\\n synset_to_human_url = '{}/imagenet_metadata.txt'.format(base_url)\\n\\n filename, _ = urllib.urlretrieve(synset_url)\\n synset_list = [s.strip() for s in open(filename).readlines()]\\n num_synsets_in_ilsvrc = len(synset_list)\\n assert num_synsets_in_ilsvrc == 1000\\n\\n filename, _ = urllib.urlretrieve(synset_to_human_url)\\n synset_to_human_list = open(filename).readlines()\\n num_synsets_in_all_imagenet = len(synset_to_human_list)\\n assert num_synsets_in_all_imagenet == 21842\\n\\n synset_to_human = {}\\n for s in synset_to_human_list:\\n parts = s.strip().split('\\\\t')\\n assert len(parts) == 2\\n synset = parts[0]\\n human = parts[1]\\n synset_to_human[synset] = human\\n\\n label_index = 1\\n labels_to_names = {0: 'background'}\\n for synset in synset_list:\\n name = synset_to_human[synset]\\n labels_to_names[label_index] = name\\n label_index += 1\\n\\n return labels_to_names\",\n \"def get_classification(self, image):\\n # Light color prediction\\n detections = self.run_detection(image)\\n boxes, scores, classes = self.filter_boxes(0.6, detections)\\n # Scores are ordered highest -> lowest\\n if len(classes) > 0:\\n if self.label_map[classes[0]] == 'red':\\n # rospy.logwarn('Red Light: {}'.format(scores[0]))\\n return TrafficLight.RED\\n # rospy.logwarn('Proceeding')\\n \\n return TrafficLight.UNKNOWN\",\n \"def get_name():\\n return \\\"SVMd+\\\"\",\n \"def find_name(face):\\n if not face[\\\"MatchedFaces\\\"]:\\n return \\\"\\\"\\n confidence = face[\\\"MatchedFaces\\\"][0][\\\"Similarity\\\"]\\n if confidence < CONFIDENCE_THRESHOLD:\\n return \\\"\\\"\\n return face[\\\"MatchedFaces\\\"][0][\\\"Face\\\"][\\\"ExternalImageId\\\"]\",\n \"def get_classification(self, image):\\n #TODO implement light color prediction\\n image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)\\n box = self.detection(image)\\n if box == None:\\n #rospy.loginfo('Classifier: No box found')\\n return TrafficLight.UNKNOWN\\n\\n left, right, top, bottom = box\\n img_crop = image[top:bottom, left:right]\\n traffic_light = cv2.resize(img_crop, (32, 32))\\n classification = self.classification(traffic_light)\\n return classification\",\n \"def read_stanford_labels():\\n # First get the hardi data\\n fetch_stanford_hardi()\\n hard_img, gtab = read_stanford_hardi()\\n\\n # Fetch and load\\n files, folder = fetch_stanford_labels()\\n labels_file = pjoin(folder, \\\"aparc-reduced.nii.gz\\\")\\n labels_img = nib.load(labels_file)\\n return hard_img, gtab, labels_img\",\n \"def Name(cls) -> str:\\n return 'pixel'\",\n \"def _get_label(self):\\n return self.label\",\n \"def get_class_label(index):\\n if isinstance(index,str):\\n index = int(index)\\n # print(type(index))\\n if index < len(class_label):\\n return class_label[index]\\n basic.outputlogMessage('class index: %d not found in the class list' % index)\\n assert (False)\\n return False\",\n \"def image_name(self) -> str:\\n return self._image_name\",\n \"def get_label(genotype_type):\\n if genotype_type == \\\"Hom\\\":\\n return 0\\n elif genotype_type == \\\"Het\\\":\\n return 1\\n elif genotype_type == \\\"Hom_alt\\\":\\n return 2\",\n \"def classify_images():\\n\\n # Load the desired image\\n img_path = 'dataset/colorize_images/n02085782_919.jpg'\\n img = image.load_img(img_path, target_size=(299, 299))\\n x = image.img_to_array(img)\\n x = np.expand_dims(x, axis=0)\\n x = preprocess_input(x)\\n\\n model = InceptionV3(weights=\\\"imagenet\\\")\\n preds = model.predict(x)\\n # decode the results into a list of tuples (class, description, probability)\\n # (one such list for each sample in the batch)\\n print('Predicted:', decode_predictions(preds, top=3)[0])\",\n \"def get_classLabel(self, dataset, class_label): \\n\\t\\tnode = self.root\\n\\t\\tbroken=0\\n\\t\\t\\n\\t\\t#print(\\\"BEBE:\\\" + str(node.get_bebe( dataset)))\\n\\t\\t\\n\\t\\tif (node.get_bebe( dataset) == class_label ):\\n\\t\\t\\treturn 1\\n\\t\\telse:\\n\\t\\t\\treturn 0\\n\\n\\t\\t\\tdef junk(data, class_label, seed, ratio):\",\n \"def get_detection_class_as_text(self, n: int) -> str:\\n return dotty(self.json)[f'predictions.0.detection_classes_as_text.{n}']\",\n \"def get_original_label(filename):\\n original_label = filename.replace('.tab', '.lbl')\\n original_label = original_label.replace('.txt', '.lbl')\\n original_label = original_label.replace('.TAB', '.lbl')\\n original_label = original_label.replace('.TXT', '.lbl')\\n original_label = original_label.replace('rad', 'psv')\\n original_label = original_label.replace('RAD', 'PSV')\\n return original_label\",\n \"def get_classification(self, image):\\n #TODO implement light color prediction\\n choices = {0: \\\"GREEN\\\", 1: \\\"YELLOW\\\", 2: \\\"RED\\\", 3: \\\"UNKNOWN\\\"}\\n\\n if self.capture_images:\\n cv2.imwrite(self.imgPath+str(int(time.clock()*1000))+'.jpg', image)\\n print('[TLClassifier] Saved Image ... ')\\n\\n if self.debug:\\n print('[TL Classifier] invoked... ')\\n\\n if image.shape != (300, 200, 3):\\n print('[TL Classifier] image shape NOK: ' + str(image.shape))\\n return \\\"UNKNOWN shape\\\"\\n \\n assert image.shape == (300, 200, 3)\\n if self.debug:\\n print('[TL Classifier] assertion ok: ')\\n\\n res = None\\n res = cv2.resize(image, (32,32), interpolation = cv2.INTER_CUBIC)\\n image = res.reshape(1, 32, 32, 3)\\n classification = self.model.predict_classes(image, verbose=0)[0]\\n result = choices.get(classification, 'UNKNOWN')\\n\\n if self.verbose:\\n print('[TL Classifier] ' + result + ' detected.')\\n\\n return result\",\n \"def get_classification(self, image):\\n if self.classifier is None:\\n self.classifier = TrafficLightClassifier('./light_classification/tensor/linux_tensor0.999')\\n \\n lights = (TrafficLight.RED, TrafficLight.YELLOW, TrafficLight.GREEN)\\n return lights[self.classifier.classifyImage(image)]\\n \\n return TrafficLight.UNKNOWN\",\n \"def get_label(urs):\\n return assign_term(urs)[1]\",\n \"def get_label(self, hierarchy: List[str]) -> Any:\",\n \"def name(self) -> str:\\n return self.class_names[self.class_num]\",\n \"def get_label(self, offset):\\n self.ret = idc.GetDisasm(offset).replace(\\\"extrn \\\", \\\"\\\").split(\\\":\\\")[0]\\n return self.ret\",\n \"def getSlavename():\",\n \"def predict_class(self, original_image_numpy: np.ndarray) -> None:\\n from app.dl_model.image import ClassifierInput\\n # scale up coordinates\\n self.scale_up_coordinates()\\n x1, y1, x2, y2 = [int(coord) for coord in self.scale_coordinates.round()]\\n # crop original numpy image\\n numpy_image = original_image_numpy[y1:y2, x1:x2, :].copy()\\n # create classifier input object\\n classifier_input = ClassifierInput(numpy_image, new_shape=(224, 224))\\n # classify input\\n prediction = classifier_input.predict_class()\\n # set attributes\\n self.class_name = prediction.class_name # update class_name\\n self.conf = prediction.conf # update probability\\n self.product_id = prediction.product_id # set product external id\\n self.detection_index = prediction.detection_index # set detection index\\n self.top_k_names = prediction.top_k_names # set top k names list\\n self.top_k_indices = prediction.top_k_indices # set top k detection index\\n self.top_k_confidences = prediction.top_k_confidences # set top k confidieces values\\n self.top_k_product_ids = prediction.top_k_product_ids # set top k product external ids\",\n \"def fromLabel(name):\\n return Data.labels.index(name)\",\n \"def get_classification(self, image):\\n\\tresult = TrafficLight.UNKNOWN\\n\\n\\t\\\"\\\"\\\"Convert the image into the proper format\\\"\\\"\\\"\\n#\\timage_np = self.load_image_into_numpy_array(image)\\n\\tself.image_np_expanded = np.expand_dims(image, axis=0)\\n\\n\\t\\\"\\\"\\\"Apply detection\\\"\\\"\\\"\\n\\t(boxes, scores, classes, num) = self.sess.run(\\n [self.detection_boxes, self.detection_scores, self.detection_classes, self.num_detections],\\n feed_dict={self.image_tensor: self.image_np_expanded})\\n\\n\\t\\\"\\\"\\\"And check if a green/Red light has been found\\\"\\\"\\\"\\n\\tif( num > 0):\\n\\t #find the highest score in the scores list\\n\\t max_score_idx = np.squeeze(scores).argmax()\\n\\t # and get the class going with this score\\n\\t tf_result = np.squeeze(classes).astype(np.int32)[max_score_idx]\\n\\t # convert from the TF result to internal format\\n\\t if( tf_result == 1 ):\\n\\t\\tresult = TrafficLight.GREEN\\n\\t elif( tf_result == 2 ):\\n\\t\\tresult = TrafficLight.RED\\n\\t elif( tf_result == 3 ):\\n\\t\\tresult = TrafficLight.YELLOW\\n\\n\\treturn result\",\n \"def image_name(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"image_name\\\")\",\n \"def image_name(self) -> Optional[pulumi.Input[str]]:\\n return pulumi.get(self, \\\"image_name\\\")\",\n \"def predict_class(self, image_path):\\n\\n img_array = self.process_image(image_path)\\n predictions = self.model.predict(img_array)\\n vehicle = self._mappings[np.argmax(abs(predictions))]\\n return vehicle\",\n \"def get_name():\\n return \\\"SVM+\\\"\",\n \"def _get_label ( self ):\\n if self._label is not None:\\n return self._label\\n return self.name\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6750595","0.67307","0.6638844","0.6555292","0.6546279","0.65367347","0.64170223","0.6413202","0.6403757","0.6369213","0.63066596","0.6250891","0.6241231","0.6123709","0.6118442","0.61034334","0.60980034","0.6039952","0.6016841","0.60058093","0.5924414","0.59056926","0.5864966","0.5863928","0.5861977","0.5861145","0.5860533","0.58571535","0.58541787","0.5839833","0.58390033","0.5792985","0.57929665","0.5782603","0.57703495","0.5768289","0.57676125","0.57513183","0.5744902","0.5741997","0.57403904","0.57143205","0.5709338","0.5708936","0.5706425","0.5706373","0.57030636","0.57023925","0.5692423","0.5686754","0.56774825","0.5675331","0.5673088","0.5638394","0.56356883","0.5632707","0.5629298","0.56290394","0.5626605","0.5622413","0.56219023","0.56136036","0.56104314","0.56093955","0.5603056","0.55962676","0.5583624","0.55769646","0.55766404","0.5550331","0.5542061","0.5541962","0.5538014","0.553654","0.552885","0.5512706","0.55124813","0.55103534","0.550522","0.55035913","0.5494429","0.5491062","0.54897845","0.5488392","0.5487298","0.5485232","0.5480607","0.54805005","0.54635096","0.5462617","0.545966","0.545013","0.5443249","0.543942","0.5430758","0.54279697","0.54279697","0.54232824","0.5419835","0.54192203"],"string":"[\n \"0.6750595\",\n \"0.67307\",\n \"0.6638844\",\n \"0.6555292\",\n \"0.6546279\",\n \"0.65367347\",\n \"0.64170223\",\n \"0.6413202\",\n \"0.6403757\",\n \"0.6369213\",\n \"0.63066596\",\n \"0.6250891\",\n \"0.6241231\",\n \"0.6123709\",\n \"0.6118442\",\n \"0.61034334\",\n \"0.60980034\",\n \"0.6039952\",\n \"0.6016841\",\n \"0.60058093\",\n \"0.5924414\",\n \"0.59056926\",\n \"0.5864966\",\n \"0.5863928\",\n \"0.5861977\",\n \"0.5861145\",\n \"0.5860533\",\n \"0.58571535\",\n \"0.58541787\",\n \"0.5839833\",\n \"0.58390033\",\n \"0.5792985\",\n \"0.57929665\",\n \"0.5782603\",\n \"0.57703495\",\n \"0.5768289\",\n \"0.57676125\",\n \"0.57513183\",\n \"0.5744902\",\n \"0.5741997\",\n \"0.57403904\",\n \"0.57143205\",\n \"0.5709338\",\n \"0.5708936\",\n \"0.5706425\",\n \"0.5706373\",\n \"0.57030636\",\n \"0.57023925\",\n \"0.5692423\",\n \"0.5686754\",\n \"0.56774825\",\n \"0.5675331\",\n \"0.5673088\",\n \"0.5638394\",\n \"0.56356883\",\n \"0.5632707\",\n \"0.5629298\",\n \"0.56290394\",\n \"0.5626605\",\n \"0.5622413\",\n \"0.56219023\",\n \"0.56136036\",\n \"0.56104314\",\n \"0.56093955\",\n \"0.5603056\",\n \"0.55962676\",\n \"0.5583624\",\n \"0.55769646\",\n \"0.55766404\",\n \"0.5550331\",\n \"0.5542061\",\n \"0.5541962\",\n \"0.5538014\",\n \"0.553654\",\n \"0.552885\",\n \"0.5512706\",\n \"0.55124813\",\n \"0.55103534\",\n \"0.550522\",\n \"0.55035913\",\n \"0.5494429\",\n \"0.5491062\",\n \"0.54897845\",\n \"0.5488392\",\n \"0.5487298\",\n \"0.5485232\",\n \"0.5480607\",\n \"0.54805005\",\n \"0.54635096\",\n \"0.5462617\",\n \"0.545966\",\n \"0.545013\",\n \"0.5443249\",\n \"0.543942\",\n \"0.5430758\",\n \"0.54279697\",\n \"0.54279697\",\n \"0.54232824\",\n \"0.5419835\",\n \"0.54192203\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.7817808"},"document_rank":{"kind":"string","value":"0"}}},{"rowIdx":1799,"cells":{"query":{"kind":"string","value":"Specify where files in our default root are uploaded."},"document":{"kind":"string","value":"def upload_location(instance, filename):\n new_id = randint(0, 1000)\n return \"%s/%s\" % (new_id, filename)"},"metadata":{"kind":"string","value":"{\n \"objective\": {\n \"self\": [],\n \"paired\": [],\n \"triplet\": [\n [\n \"query\",\n \"document\",\n \"negatives\"\n ]\n ]\n }\n}"},"negatives":{"kind":"list like","value":["def upload_dir(self):\n return os.path.join(settings.MEDIA_ROOT,self.upload_dir_rel())","def public_upload_dir(self):\n return os.path.join(settings.MEDIA_ROOT,\n self.public_upload_dir_rel())","def upload_dir_rel(self):\n return os.path.join(self.short_name,\"uploads\")","def upload_to(self, filename):\n base_path = self.base_upload_to()\n return '%s/%s/%s' % (base_path, 'filemanager', filename)","def file_root(self):\n return os.path.join(CredentialApplication.FILE_ROOT, self.slug)","def upload_shared():\n # MARK: default copy to home dir\n put(conf.INS_ARGS['shared_folder'], '~/')","def public_upload_dir_rel(self):\n return os.path.join(self.short_name,settings.COMIC_PUBLIC_FOLDER_NAME)","def _get_default_path(self):\n return os.path.join(cfg.ROOT_DIR, 'data', 'KITTI')","def configure_ext_uploads(app):\n configure_uploads(app, [documents])","def set_basedir(self, host, path):","def _init_files_dirs(self):\n self.local.create_files_dirs()\n self.remote.create_files_dirs()","def set_upload_destination(instance, filename):\n return os.path.join(\"evidence\", str(instance.finding.report.id), filename)","def project_root_files():\n return [\"parent_workflow.wdl\"]","def _files_path(self) -> Path:\r\n files_path = self.output_path / \"files\"\r\n os.makedirs(files_path, exist_ok=True)\r\n return files_path","def upload_handler(self):\n \n for root, dirs, files in os.walk(self.path):\n\n current_dir = os.path.basename(root)\n \n if root == self.path:\n root_id = self.gapy.create_file(current_dir, path=root, isFolder=True)\n else:\n parents_id = self.filesystem[os.path.dirname(root)][\"id\"]\n root_id = self.gapy.create_file(current_dir, path=root, isFolder=True, parents_id=[parents_id])\n print(f\"\\033[94m The directory {current_dir} was uploaded \\033[0m\")\n\n self.filesystem[root.rstrip(\"/\")] = { \"id\": root_id, \"files\": [] }\n \n if files:\n for f in files:\n if f not in IGNORE_FILES and os.path.getsize(root+\"/\"+f) > 0:\n file_id = self.gapy.create_file(f, path=root, parents_id=[root_id])\n self.filesystem[root][\"files\"].append({ \"name\": f, \"id\": file_id})\n print(f\"\\033[94m The file {f} was uploaded \\033[0m\")\n \n self.update_fs()","def _get_default_path(self):\n return os.path.join(action_datasets.ROOT_DIR, 'data', 'Actions')","def get_project_data_folder(self):\n return os.path.join(settings.MEDIA_ROOT,self.short_name)","def _get_default_path(self):\n return os.path.join(cfg.DATA_DIR, 'visual_genome')","def get_default_data_dir(self):\n data_dir_path = os.path.join(self.comicsite.short_name,self.folder_prefix,self.cleantitle)\n return data_dir_path","def localpath(self, *args):\n return os.path.join(os.path.expanduser(self.serverfiles_dir), *args)","def getDefaultDataSearchPath():\n return FileSearchPath(os.path.dirname(__file__))","def defaultDirectory(self):\n return self.__defaultDirectory","def subdir(self):","def default_data_dir(self):\n return self._default_data_dir","def default_path():\n return os.path.join(os.environ.get('OVERRIDE_ETC', '/etc'), 'auth')","def upload():\n global FILE_NAME\n target = os.path.join(APP_ROOT, \"images\")\n print(target)\n\n if not os.path.isdir(target):\n os.mkdir(target)\n\n for file in request.files.getlist(\"file\"):\n print(file)\n filename = file.filename\n destination = \"/\".join([target, filename])\n FILE_NAME = destination\n file.save(destination)\n return render_template(\"complete.html\")","def DefaultPath(self) -> str:\n return self.m_def_path","def additional_files(self):\n path = os.path.join(self.path(), 'obb_files')\n os.makedirs(path, exist_ok=True)\n return path","def uploaded_image_path(filename):\n return '/'.join((app.config['UPLOAD_FOLDER'], filename))","def base_dir(self):\n pass","def templates_folder(self):\n return os.path.join(\n os.path.dirname(__file__), \"default_config\", \"divvy_templates\"\n )","def sendRootListing(self):\n\t\t# Escape the path to allow for files above the current directory.\n\t\tpaths = map(self.rootFileNameToPath, self.files)\n\t\tself.sendListing(self.files, paths)","def full_path(self):\n return os.path.join(settings.MEDIA_ROOT, self.path)","def _put_antenny_files_on_device(self):\n self._ensure_directory()\n self._recursive_put_files()","def radishdir():\n return __RADISH_FILES_DIR__","def set_root(self, root):\n self.root_path = root","def get_full_folder_path(self):\n data_dir_path = os.path.join(settings.MEDIA_ROOT,self.folder)\n return data_dir_path","def root_path(self) -> Path:\n return ARCHIVES_ROOT / self.source_name / self.key","def root_path(self):\n return os.path.dirname(self.image.path)","def get_default_file_path(file_name: str) -> str:\n return join(SOURCE_PATH, 'data', file_name)","def find_default(self, fs_path):\n if os.path.isdir(fs_path):\n default = None\n for name in self.defaults:\n _path = os.path.join(fs_path, name)\n if os.path.isfile(_path):\n default = _path\n break\n if default is None:\n raise Response(403)\n fs_path = default\n return fs_path","def _get_default_path(self):\n return os.path.join(cfg.DATA_DIR, 'VOCdevkit' + self._year)","def _get_default_path(self):\n return os.path.join(cfg.DATA_DIR, 'VOCdevkit' + self._year)","def make_default_dirs(self):\r\n self.defaultconfig()\r\n self.create_needed_dirs()","def set_local_path(self):\n return HERE","def user_directory_path(instance, filename: str) -> str:\n\n # File will be uploaded to MEDIA_ROOT/user_<id>/<filename>\n return 'user_{0}/{1}'.format(instance.profile.user.pk, filename)","def filepaths(self):\n pass","def __post_init__(self) -> None:\n if self.is_directory and not self.path.endswith('/'):\n self.path += '/'","def cwd (self, path):\r\n pass","def path(self):\n return self.get_upload_set().path(self.filename)","def index_all_files(self, root_dir):\n pass","def thumbnail_upload_to(self, filename):\n base_path = self.base_upload_to()\n return '%s/%s/%s' % (base_path, 'filemanager_thumbnails', filename)","def set_root(self):\n config_dir = os.path.expanduser(\"~/.local/shs\")\n config_file = os.path.join(config_dir, \"shs_gui.cfg\")\n # check the file and create one if it's not there\n if not os.path.isfile(config_file):\n os.makedirs(config_dir)\n open(config_file, 'w').close()\n config = ConfigParser.ConfigParser()\n config.read(config_file)\n # if config exists and has needed option\n if config.has_option(\"general\", \"root_dir\"):\n return config.get(\"general\", \"root_dir\")\n # make config\n if not config.has_section(\"general\"):\n config.add_section(\"general\")\n dlg = wx.DirDialog(self, \"Select root directory\")\n if dlg.ShowModal() == wx.ID_OK:\n root_dir = dlg.GetPath()\n config.set(\"general\", \"root_dir\", root_dir)\n else:\n sys.exit(1)\n with open(config_file, 'w') as f:\n config.write(f)\n return root_dir","def get_upload_path(instance, filename):\n \n userpath = \"{name}/{file}\".format(name=instance.user.username, file=filename)\n mainpath = os.path.join(\"infocomp\",userpath)\n return mainpath","def __default_pptx_path(self):\n thisdir = os.path.split(__file__)[0]\n return os.path.join(thisdir, 'templates', 'default.pptx')","def setPaths(self):\n self.local_path = g.os_path_join(g.app.loadDir,\"..\",\"plugins\",\"trees\")\n # self.remote_path = r\"cvs.sourceforge.net/viewcvs.py/leo/leo/plugins/trees\"\n self.remote_path = r'leo.tigris.org/source/browse/leo/plugins/trees'","def get_swagger_static_root():\n return os.path.join(CURDIR, \"static\")","def root_dir():\r\n return Path(__file__).parent.parent","def _get_default_path(self):\n return os.path.join(cfg.DATA_DIR, 'vehicles_dataset_v{}'.format(self._version))","def base_upload_to(self):\n parent = getattr(self, (self.get_parent()))\n remote = self._meta.get_field(self.get_parent()).remote_field.name\n return '%s/%s' % (self.parent_base_upload_to(parent), remote)","def getRootDirectory(self):\n if Globals.WORKFLOWS_BASEDIR[0] == '~':\n return os.path.expanduser(Globals.WORKFLOWS_BASEDIR)\n else:\n return os.path.join('', Globals.WORKFLOWS_BASEDIR)","def base_dir(self, value):\n pass","def get_upload_path(instance, filename):\n return os.path.join(getattr(settings, \"FILEBROWSER_DIRECTORY\"), str(instance.project.short_name.lower()), filename)","def set_media_root():\n tmp_path = Path(tempfile.mkdtemp(prefix=\"pytest_\"))\n try:\n with override_settings(MEDIA_ROOT=tmp_path):\n yield\n finally:\n rmtree(tmp_path)","def set_rootdir(configdict, config_file):\n if 'rootdir' not in configdict or not configdict['rootdir']:\n configdict['rootdir'] = os.path.dirname(config_file)","def files_distribute(self):\n self._post('files/distribute')","def test_get_upload_directory(self, mock_config_file):\n configuration = Configuration()\n assert configuration.upload_dir == os.path.join(configuration.app_workdir, '.labmanager', 'upload')","def base_path(self):\n return self.setup.base_path","def _get_default_path(self):\n # return os.path.join(datasets.ROOT_DIR, 'data', 'MSRC21')\n # set local path\n return u'/Users/danilonunes/workspace/datasets/msrc21/'","def __init__(self, root):\n FileHelper.ALL_PATHS = [os.path.join(dp, f) for dp, dn, filenames in os.walk(root) for f in filenames if os.path.splitext(f)[1] in Enums.App.VALID_FILE_TYPES]","def get_root_filename(self):\n pass","def _get_psf_filepath(self):\n\t\treturn os.path.join(self.workdir, \"default.psf\")","def __get_files(self):\n if len(self.files) == 0:\n self.files = os.listdir(self.__path())\n self.files.sort()\n if self.parent:\n self.files.insert(0, \"..\")\n for index, name in enumerate(self.files, start=1):\n if self.__is_dir(self.__make_path(name)):\n self.files[index] = name + \"/\"","def get_absolute_pathname(self):\n return os.path.join(settings.PRIVATE_STORAGE_ROOT, self.get_relative_pathname())","def directory_root():\n\timport os\n\treturn os.path.join(os.path.dirname(__file__), '../..')","def uploadFiles(self, filenames):\n bucket = self._S3_USER_UPLOAD_BUCKET\n prefix = self._S3_USER_UPLOAD_DIR\n uuid_dir = uuid.uuid4()\n # TODO(aimee): This should upload to a user-namespaced directory\n for filename in filenames:\n basename = os.path.basename(filename)\n response = self._upload_s3(filename, bucket, f\"{prefix}/{uuid_dir}/{basename}\")\n return f\"Upload file subdirectory: {uuid_dir} (keep a record of this if you want to share these files with other users)\"","def __init__(self, file_root):\n self.root = file_root","def image_upload_path(instance, filename):\n return \"adverts/{}/{}\".format(instance.uuid, filename)","def __init__(self, rootPath=None):\n self.rootPath = rootPath or '.'","def test_default_path(self):\n options = ControlOptions()\n options.parseOptions([])\n self.assertEqual(options[\"data-path\"], FilePath(b\"/var/lib/flocker\"))","def get_attachment_upload_dir(instance, filename):\n return f\"{tasks}/{attachments}/{str(instance.task.id)}/{filename}\"","def Directory(self) -> str:","def PopulateFilePaths(self):\n if os.path.isdir(self.backupFolder) == True:\n s3Log.info(\"BackUp Folder = {}\".format(self.backupFolder))\n backUpFilestoTransfer = (os.listdir(self.backupFolder))\n for eachfilename in backUpFilestoTransfer:\n path = os.path.join(self.backupFolder, eachfilename)\n filedictionary={\n \"filename\": eachfilename,\n \"filepath\": path,\n \"uploadedSuccess\": 0\n }\n self.fileTobeUploaded.append(filedictionary)\n\n s3Log.info(\"{} files are to be uploaded. \".format(len(self.fileTobeUploaded) ))\n pprint.pprint(self.fileTobeUploaded)","def getPath(self):\n path = os.path.dirname(os.path.realpath(__file__)) #Finds the path of the application\n path =(os.path.dirname(os.path.realpath(__file__))+ '\\\\Enigma Settings') #Adds to the directory to create a folder\n \n return path #Returns the folders directory","def _abspath(filename):\r\n if os.path.isabs(filename):\r\n return filename\r\n return os.path.join(settings.MEDIA_ROOT, filename)","def path(self, root_dir):\r\n path = os.path.realpath(root_dir)\r\n if not os.path.exists(path):\r\n raise ValueError('Build root does not exist: %s' % root_dir)\r\n self._root_dir = path","def uploaded_file(filename):\n return send_from_directory('/static/images/uploads/', filename)","def upload():\r\n\r\n if not os.path.isdir(TO_SEGMENT):\r\n os.mkdir(TO_SEGMENT)\r\n else:\r\n print(\"could not create upload directory: {}\".format(TO_SEGMENT))\r\n print(request.files.getlist(\"file\"))\r\n\r\n for upload in request.files.getlist(\"file\"):\r\n filename = upload.filename\r\n destination = \"/\".join([TO_SEGMENT, filename])\r\n upload.save(destination)\r\n\r\n return redirect(url_for('get_gallery'))","def mog_param_dir():\n return os.path.join(os.path.dirname(__file__),\n '../../','etc')","def setNfsRoot(self):\n\t\tself.nfsroot = self.settings.getKeyValue('nfs.root')\n\t\treturn None","def fresh_media_root(**kwargs):\n with TemporaryDirectory(**kwargs) as media_root:\n with override_settings(MEDIA_ROOT=media_root):\n yield","def create_upload_path(self, update=False):\n path = f\"{self.root_dir}/{self.current_prod}\"\n file_name = f\"{self.event_date_str}_{self.event_id}.npy\"\n\n if update:\n self.upload_path = path\n self.file_name = file_name\n\n return path, file_name","def get_upload_path(self):\n location = self.get_storage().location\n return self.cleaned_data['key_name'][len(location):]","def default_module_dir(self):\n return os.path.dirname(self._modules['default'].path)","def _get_default_path(self):\n\n raise NotImplementedError()","def update_filepath(image):\n if image == \"none\":\n image = \"\"\n else:\n image = '/static/uploads/' + image\n return image","def root_dir():\n return dirname(dirname(__file__))","def workDir(self):\n self.debug.printHeader()\n #if hasattr(self.settings, \"workDir\"): toret=self.settings.workDir # 025 todo 143\n if self.settings.config.has_section(\"files\") and self.settings.config.has_option(\"files\",\"workDir\"):\n # toret=self.settings.get(\"files\",\"workDir\") 025\n toret=self.settings.workDir\n else: toret=os.environ['HOME']+'/xxz'\n # Also could write workdir back to settings.\n return toret","def share_directory(self):\n # Get the user to share file/folder with.\n share_user = User.query.filter_by(email = self.email.data).first()\n if not share_user:\n return\n\n # The source to copy to another user.\n filename = os.listdir(self.path.data)[int(self.index.data)]\n src = os.path.join(self.path.data, filename)\n # Get home path for the user to share folder with.\n dst = os.path.join(share_user.get_files_path(), filename)\n # Copy source to destination.\n copytree(src, dst)","def upload(self, source, dest):\n if os.path.isdir(source):\n self.upload_dir(source, dest)\n else:\n self.upload_file(source, dest)","def cwd(self):"],"string":"[\n \"def upload_dir(self):\\n return os.path.join(settings.MEDIA_ROOT,self.upload_dir_rel())\",\n \"def public_upload_dir(self):\\n return os.path.join(settings.MEDIA_ROOT,\\n self.public_upload_dir_rel())\",\n \"def upload_dir_rel(self):\\n return os.path.join(self.short_name,\\\"uploads\\\")\",\n \"def upload_to(self, filename):\\n base_path = self.base_upload_to()\\n return '%s/%s/%s' % (base_path, 'filemanager', filename)\",\n \"def file_root(self):\\n return os.path.join(CredentialApplication.FILE_ROOT, self.slug)\",\n \"def upload_shared():\\n # MARK: default copy to home dir\\n put(conf.INS_ARGS['shared_folder'], '~/')\",\n \"def public_upload_dir_rel(self):\\n return os.path.join(self.short_name,settings.COMIC_PUBLIC_FOLDER_NAME)\",\n \"def _get_default_path(self):\\n return os.path.join(cfg.ROOT_DIR, 'data', 'KITTI')\",\n \"def configure_ext_uploads(app):\\n configure_uploads(app, [documents])\",\n \"def set_basedir(self, host, path):\",\n \"def _init_files_dirs(self):\\n self.local.create_files_dirs()\\n self.remote.create_files_dirs()\",\n \"def set_upload_destination(instance, filename):\\n return os.path.join(\\\"evidence\\\", str(instance.finding.report.id), filename)\",\n \"def project_root_files():\\n return [\\\"parent_workflow.wdl\\\"]\",\n \"def _files_path(self) -> Path:\\r\\n files_path = self.output_path / \\\"files\\\"\\r\\n os.makedirs(files_path, exist_ok=True)\\r\\n return files_path\",\n \"def upload_handler(self):\\n \\n for root, dirs, files in os.walk(self.path):\\n\\n current_dir = os.path.basename(root)\\n \\n if root == self.path:\\n root_id = self.gapy.create_file(current_dir, path=root, isFolder=True)\\n else:\\n parents_id = self.filesystem[os.path.dirname(root)][\\\"id\\\"]\\n root_id = self.gapy.create_file(current_dir, path=root, isFolder=True, parents_id=[parents_id])\\n print(f\\\"\\\\033[94m The directory {current_dir} was uploaded \\\\033[0m\\\")\\n\\n self.filesystem[root.rstrip(\\\"/\\\")] = { \\\"id\\\": root_id, \\\"files\\\": [] }\\n \\n if files:\\n for f in files:\\n if f not in IGNORE_FILES and os.path.getsize(root+\\\"/\\\"+f) > 0:\\n file_id = self.gapy.create_file(f, path=root, parents_id=[root_id])\\n self.filesystem[root][\\\"files\\\"].append({ \\\"name\\\": f, \\\"id\\\": file_id})\\n print(f\\\"\\\\033[94m The file {f} was uploaded \\\\033[0m\\\")\\n \\n self.update_fs()\",\n \"def _get_default_path(self):\\n return os.path.join(action_datasets.ROOT_DIR, 'data', 'Actions')\",\n \"def get_project_data_folder(self):\\n return os.path.join(settings.MEDIA_ROOT,self.short_name)\",\n \"def _get_default_path(self):\\n return os.path.join(cfg.DATA_DIR, 'visual_genome')\",\n \"def get_default_data_dir(self):\\n data_dir_path = os.path.join(self.comicsite.short_name,self.folder_prefix,self.cleantitle)\\n return data_dir_path\",\n \"def localpath(self, *args):\\n return os.path.join(os.path.expanduser(self.serverfiles_dir), *args)\",\n \"def getDefaultDataSearchPath():\\n return FileSearchPath(os.path.dirname(__file__))\",\n \"def defaultDirectory(self):\\n return self.__defaultDirectory\",\n \"def subdir(self):\",\n \"def default_data_dir(self):\\n return self._default_data_dir\",\n \"def default_path():\\n return os.path.join(os.environ.get('OVERRIDE_ETC', '/etc'), 'auth')\",\n \"def upload():\\n global FILE_NAME\\n target = os.path.join(APP_ROOT, \\\"images\\\")\\n print(target)\\n\\n if not os.path.isdir(target):\\n os.mkdir(target)\\n\\n for file in request.files.getlist(\\\"file\\\"):\\n print(file)\\n filename = file.filename\\n destination = \\\"/\\\".join([target, filename])\\n FILE_NAME = destination\\n file.save(destination)\\n return render_template(\\\"complete.html\\\")\",\n \"def DefaultPath(self) -> str:\\n return self.m_def_path\",\n \"def additional_files(self):\\n path = os.path.join(self.path(), 'obb_files')\\n os.makedirs(path, exist_ok=True)\\n return path\",\n \"def uploaded_image_path(filename):\\n return '/'.join((app.config['UPLOAD_FOLDER'], filename))\",\n \"def base_dir(self):\\n pass\",\n \"def templates_folder(self):\\n return os.path.join(\\n os.path.dirname(__file__), \\\"default_config\\\", \\\"divvy_templates\\\"\\n )\",\n \"def sendRootListing(self):\\n\\t\\t# Escape the path to allow for files above the current directory.\\n\\t\\tpaths = map(self.rootFileNameToPath, self.files)\\n\\t\\tself.sendListing(self.files, paths)\",\n \"def full_path(self):\\n return os.path.join(settings.MEDIA_ROOT, self.path)\",\n \"def _put_antenny_files_on_device(self):\\n self._ensure_directory()\\n self._recursive_put_files()\",\n \"def radishdir():\\n return __RADISH_FILES_DIR__\",\n \"def set_root(self, root):\\n self.root_path = root\",\n \"def get_full_folder_path(self):\\n data_dir_path = os.path.join(settings.MEDIA_ROOT,self.folder)\\n return data_dir_path\",\n \"def root_path(self) -> Path:\\n return ARCHIVES_ROOT / self.source_name / self.key\",\n \"def root_path(self):\\n return os.path.dirname(self.image.path)\",\n \"def get_default_file_path(file_name: str) -> str:\\n return join(SOURCE_PATH, 'data', file_name)\",\n \"def find_default(self, fs_path):\\n if os.path.isdir(fs_path):\\n default = None\\n for name in self.defaults:\\n _path = os.path.join(fs_path, name)\\n if os.path.isfile(_path):\\n default = _path\\n break\\n if default is None:\\n raise Response(403)\\n fs_path = default\\n return fs_path\",\n \"def _get_default_path(self):\\n return os.path.join(cfg.DATA_DIR, 'VOCdevkit' + self._year)\",\n \"def _get_default_path(self):\\n return os.path.join(cfg.DATA_DIR, 'VOCdevkit' + self._year)\",\n \"def make_default_dirs(self):\\r\\n self.defaultconfig()\\r\\n self.create_needed_dirs()\",\n \"def set_local_path(self):\\n return HERE\",\n \"def user_directory_path(instance, filename: str) -> str:\\n\\n # File will be uploaded to MEDIA_ROOT/user_<id>/<filename>\\n return 'user_{0}/{1}'.format(instance.profile.user.pk, filename)\",\n \"def filepaths(self):\\n pass\",\n \"def __post_init__(self) -> None:\\n if self.is_directory and not self.path.endswith('/'):\\n self.path += '/'\",\n \"def cwd (self, path):\\r\\n pass\",\n \"def path(self):\\n return self.get_upload_set().path(self.filename)\",\n \"def index_all_files(self, root_dir):\\n pass\",\n \"def thumbnail_upload_to(self, filename):\\n base_path = self.base_upload_to()\\n return '%s/%s/%s' % (base_path, 'filemanager_thumbnails', filename)\",\n \"def set_root(self):\\n config_dir = os.path.expanduser(\\\"~/.local/shs\\\")\\n config_file = os.path.join(config_dir, \\\"shs_gui.cfg\\\")\\n # check the file and create one if it's not there\\n if not os.path.isfile(config_file):\\n os.makedirs(config_dir)\\n open(config_file, 'w').close()\\n config = ConfigParser.ConfigParser()\\n config.read(config_file)\\n # if config exists and has needed option\\n if config.has_option(\\\"general\\\", \\\"root_dir\\\"):\\n return config.get(\\\"general\\\", \\\"root_dir\\\")\\n # make config\\n if not config.has_section(\\\"general\\\"):\\n config.add_section(\\\"general\\\")\\n dlg = wx.DirDialog(self, \\\"Select root directory\\\")\\n if dlg.ShowModal() == wx.ID_OK:\\n root_dir = dlg.GetPath()\\n config.set(\\\"general\\\", \\\"root_dir\\\", root_dir)\\n else:\\n sys.exit(1)\\n with open(config_file, 'w') as f:\\n config.write(f)\\n return root_dir\",\n \"def get_upload_path(instance, filename):\\n \\n userpath = \\\"{name}/{file}\\\".format(name=instance.user.username, file=filename)\\n mainpath = os.path.join(\\\"infocomp\\\",userpath)\\n return mainpath\",\n \"def __default_pptx_path(self):\\n thisdir = os.path.split(__file__)[0]\\n return os.path.join(thisdir, 'templates', 'default.pptx')\",\n \"def setPaths(self):\\n self.local_path = g.os_path_join(g.app.loadDir,\\\"..\\\",\\\"plugins\\\",\\\"trees\\\")\\n # self.remote_path = r\\\"cvs.sourceforge.net/viewcvs.py/leo/leo/plugins/trees\\\"\\n self.remote_path = r'leo.tigris.org/source/browse/leo/plugins/trees'\",\n \"def get_swagger_static_root():\\n return os.path.join(CURDIR, \\\"static\\\")\",\n \"def root_dir():\\r\\n return Path(__file__).parent.parent\",\n \"def _get_default_path(self):\\n return os.path.join(cfg.DATA_DIR, 'vehicles_dataset_v{}'.format(self._version))\",\n \"def base_upload_to(self):\\n parent = getattr(self, (self.get_parent()))\\n remote = self._meta.get_field(self.get_parent()).remote_field.name\\n return '%s/%s' % (self.parent_base_upload_to(parent), remote)\",\n \"def getRootDirectory(self):\\n if Globals.WORKFLOWS_BASEDIR[0] == '~':\\n return os.path.expanduser(Globals.WORKFLOWS_BASEDIR)\\n else:\\n return os.path.join('', Globals.WORKFLOWS_BASEDIR)\",\n \"def base_dir(self, value):\\n pass\",\n \"def get_upload_path(instance, filename):\\n return os.path.join(getattr(settings, \\\"FILEBROWSER_DIRECTORY\\\"), str(instance.project.short_name.lower()), filename)\",\n \"def set_media_root():\\n tmp_path = Path(tempfile.mkdtemp(prefix=\\\"pytest_\\\"))\\n try:\\n with override_settings(MEDIA_ROOT=tmp_path):\\n yield\\n finally:\\n rmtree(tmp_path)\",\n \"def set_rootdir(configdict, config_file):\\n if 'rootdir' not in configdict or not configdict['rootdir']:\\n configdict['rootdir'] = os.path.dirname(config_file)\",\n \"def files_distribute(self):\\n self._post('files/distribute')\",\n \"def test_get_upload_directory(self, mock_config_file):\\n configuration = Configuration()\\n assert configuration.upload_dir == os.path.join(configuration.app_workdir, '.labmanager', 'upload')\",\n \"def base_path(self):\\n return self.setup.base_path\",\n \"def _get_default_path(self):\\n # return os.path.join(datasets.ROOT_DIR, 'data', 'MSRC21')\\n # set local path\\n return u'/Users/danilonunes/workspace/datasets/msrc21/'\",\n \"def __init__(self, root):\\n FileHelper.ALL_PATHS = [os.path.join(dp, f) for dp, dn, filenames in os.walk(root) for f in filenames if os.path.splitext(f)[1] in Enums.App.VALID_FILE_TYPES]\",\n \"def get_root_filename(self):\\n pass\",\n \"def _get_psf_filepath(self):\\n\\t\\treturn os.path.join(self.workdir, \\\"default.psf\\\")\",\n \"def __get_files(self):\\n if len(self.files) == 0:\\n self.files = os.listdir(self.__path())\\n self.files.sort()\\n if self.parent:\\n self.files.insert(0, \\\"..\\\")\\n for index, name in enumerate(self.files, start=1):\\n if self.__is_dir(self.__make_path(name)):\\n self.files[index] = name + \\\"/\\\"\",\n \"def get_absolute_pathname(self):\\n return os.path.join(settings.PRIVATE_STORAGE_ROOT, self.get_relative_pathname())\",\n \"def directory_root():\\n\\timport os\\n\\treturn os.path.join(os.path.dirname(__file__), '../..')\",\n \"def uploadFiles(self, filenames):\\n bucket = self._S3_USER_UPLOAD_BUCKET\\n prefix = self._S3_USER_UPLOAD_DIR\\n uuid_dir = uuid.uuid4()\\n # TODO(aimee): This should upload to a user-namespaced directory\\n for filename in filenames:\\n basename = os.path.basename(filename)\\n response = self._upload_s3(filename, bucket, f\\\"{prefix}/{uuid_dir}/{basename}\\\")\\n return f\\\"Upload file subdirectory: {uuid_dir} (keep a record of this if you want to share these files with other users)\\\"\",\n \"def __init__(self, file_root):\\n self.root = file_root\",\n \"def image_upload_path(instance, filename):\\n return \\\"adverts/{}/{}\\\".format(instance.uuid, filename)\",\n \"def __init__(self, rootPath=None):\\n self.rootPath = rootPath or '.'\",\n \"def test_default_path(self):\\n options = ControlOptions()\\n options.parseOptions([])\\n self.assertEqual(options[\\\"data-path\\\"], FilePath(b\\\"/var/lib/flocker\\\"))\",\n \"def get_attachment_upload_dir(instance, filename):\\n return f\\\"{tasks}/{attachments}/{str(instance.task.id)}/{filename}\\\"\",\n \"def Directory(self) -> str:\",\n \"def PopulateFilePaths(self):\\n if os.path.isdir(self.backupFolder) == True:\\n s3Log.info(\\\"BackUp Folder = {}\\\".format(self.backupFolder))\\n backUpFilestoTransfer = (os.listdir(self.backupFolder))\\n for eachfilename in backUpFilestoTransfer:\\n path = os.path.join(self.backupFolder, eachfilename)\\n filedictionary={\\n \\\"filename\\\": eachfilename,\\n \\\"filepath\\\": path,\\n \\\"uploadedSuccess\\\": 0\\n }\\n self.fileTobeUploaded.append(filedictionary)\\n\\n s3Log.info(\\\"{} files are to be uploaded. \\\".format(len(self.fileTobeUploaded) ))\\n pprint.pprint(self.fileTobeUploaded)\",\n \"def getPath(self):\\n path = os.path.dirname(os.path.realpath(__file__)) #Finds the path of the application\\n path =(os.path.dirname(os.path.realpath(__file__))+ '\\\\\\\\Enigma Settings') #Adds to the directory to create a folder\\n \\n return path #Returns the folders directory\",\n \"def _abspath(filename):\\r\\n if os.path.isabs(filename):\\r\\n return filename\\r\\n return os.path.join(settings.MEDIA_ROOT, filename)\",\n \"def path(self, root_dir):\\r\\n path = os.path.realpath(root_dir)\\r\\n if not os.path.exists(path):\\r\\n raise ValueError('Build root does not exist: %s' % root_dir)\\r\\n self._root_dir = path\",\n \"def uploaded_file(filename):\\n return send_from_directory('/static/images/uploads/', filename)\",\n \"def upload():\\r\\n\\r\\n if not os.path.isdir(TO_SEGMENT):\\r\\n os.mkdir(TO_SEGMENT)\\r\\n else:\\r\\n print(\\\"could not create upload directory: {}\\\".format(TO_SEGMENT))\\r\\n print(request.files.getlist(\\\"file\\\"))\\r\\n\\r\\n for upload in request.files.getlist(\\\"file\\\"):\\r\\n filename = upload.filename\\r\\n destination = \\\"/\\\".join([TO_SEGMENT, filename])\\r\\n upload.save(destination)\\r\\n\\r\\n return redirect(url_for('get_gallery'))\",\n \"def mog_param_dir():\\n return os.path.join(os.path.dirname(__file__),\\n '../../','etc')\",\n \"def setNfsRoot(self):\\n\\t\\tself.nfsroot = self.settings.getKeyValue('nfs.root')\\n\\t\\treturn None\",\n \"def fresh_media_root(**kwargs):\\n with TemporaryDirectory(**kwargs) as media_root:\\n with override_settings(MEDIA_ROOT=media_root):\\n yield\",\n \"def create_upload_path(self, update=False):\\n path = f\\\"{self.root_dir}/{self.current_prod}\\\"\\n file_name = f\\\"{self.event_date_str}_{self.event_id}.npy\\\"\\n\\n if update:\\n self.upload_path = path\\n self.file_name = file_name\\n\\n return path, file_name\",\n \"def get_upload_path(self):\\n location = self.get_storage().location\\n return self.cleaned_data['key_name'][len(location):]\",\n \"def default_module_dir(self):\\n return os.path.dirname(self._modules['default'].path)\",\n \"def _get_default_path(self):\\n\\n raise NotImplementedError()\",\n \"def update_filepath(image):\\n if image == \\\"none\\\":\\n image = \\\"\\\"\\n else:\\n image = '/static/uploads/' + image\\n return image\",\n \"def root_dir():\\n return dirname(dirname(__file__))\",\n \"def workDir(self):\\n self.debug.printHeader()\\n #if hasattr(self.settings, \\\"workDir\\\"): toret=self.settings.workDir # 025 todo 143\\n if self.settings.config.has_section(\\\"files\\\") and self.settings.config.has_option(\\\"files\\\",\\\"workDir\\\"):\\n # toret=self.settings.get(\\\"files\\\",\\\"workDir\\\") 025\\n toret=self.settings.workDir\\n else: toret=os.environ['HOME']+'/xxz'\\n # Also could write workdir back to settings.\\n return toret\",\n \"def share_directory(self):\\n # Get the user to share file/folder with.\\n share_user = User.query.filter_by(email = self.email.data).first()\\n if not share_user:\\n return\\n\\n # The source to copy to another user.\\n filename = os.listdir(self.path.data)[int(self.index.data)]\\n src = os.path.join(self.path.data, filename)\\n # Get home path for the user to share folder with.\\n dst = os.path.join(share_user.get_files_path(), filename)\\n # Copy source to destination.\\n copytree(src, dst)\",\n \"def upload(self, source, dest):\\n if os.path.isdir(source):\\n self.upload_dir(source, dest)\\n else:\\n self.upload_file(source, dest)\",\n \"def cwd(self):\"\n]","isConversational":false},"negative_scores":{"kind":"list like","value":["0.6755884","0.67076856","0.6568125","0.6368969","0.62236637","0.61067545","0.6066317","0.6020004","0.5959959","0.59437656","0.5911991","0.58240676","0.5714736","0.57077825","0.5693331","0.5683937","0.5659573","0.5636132","0.56256604","0.56158495","0.5602003","0.55920255","0.55835116","0.5568021","0.55421644","0.5527479","0.5519173","0.5508685","0.5504101","0.5490817","0.5484158","0.5479387","0.5478391","0.54529727","0.54310274","0.54275006","0.5426266","0.54240495","0.5409397","0.5405468","0.5404147","0.5399965","0.5399965","0.53921825","0.53905725","0.5382851","0.5377016","0.53704023","0.5358107","0.5335689","0.53278595","0.5326075","0.531962","0.53177905","0.53086567","0.5303613","0.53014433","0.52924997","0.528891","0.5284838","0.52814037","0.52779895","0.52743816","0.52631235","0.52613693","0.52610517","0.5255176","0.525516","0.5246837","0.52408314","0.52285576","0.5226732","0.5212047","0.5210766","0.5194046","0.51895183","0.51838195","0.5182333","0.51822084","0.51778865","0.5173515","0.51698226","0.5169441","0.51679695","0.51661885","0.51655483","0.5160284","0.5149701","0.51495224","0.5147817","0.5146539","0.51394194","0.513725","0.5136348","0.51280224","0.5124411","0.5122602","0.5121911","0.511201","0.5109926","0.5103213"],"string":"[\n \"0.6755884\",\n \"0.67076856\",\n \"0.6568125\",\n \"0.6368969\",\n \"0.62236637\",\n \"0.61067545\",\n \"0.6066317\",\n \"0.6020004\",\n \"0.5959959\",\n \"0.59437656\",\n \"0.5911991\",\n \"0.58240676\",\n \"0.5714736\",\n \"0.57077825\",\n \"0.5693331\",\n \"0.5683937\",\n \"0.5659573\",\n \"0.5636132\",\n \"0.56256604\",\n \"0.56158495\",\n \"0.5602003\",\n \"0.55920255\",\n \"0.55835116\",\n \"0.5568021\",\n \"0.55421644\",\n \"0.5527479\",\n \"0.5519173\",\n \"0.5508685\",\n \"0.5504101\",\n \"0.5490817\",\n \"0.5484158\",\n \"0.5479387\",\n \"0.5478391\",\n \"0.54529727\",\n \"0.54310274\",\n \"0.54275006\",\n \"0.5426266\",\n \"0.54240495\",\n \"0.5409397\",\n \"0.5405468\",\n \"0.5404147\",\n \"0.5399965\",\n \"0.5399965\",\n \"0.53921825\",\n \"0.53905725\",\n \"0.5382851\",\n \"0.5377016\",\n \"0.53704023\",\n \"0.5358107\",\n \"0.5335689\",\n \"0.53278595\",\n \"0.5326075\",\n \"0.531962\",\n \"0.53177905\",\n \"0.53086567\",\n \"0.5303613\",\n \"0.53014433\",\n \"0.52924997\",\n \"0.528891\",\n \"0.5284838\",\n \"0.52814037\",\n \"0.52779895\",\n \"0.52743816\",\n \"0.52631235\",\n \"0.52613693\",\n \"0.52610517\",\n \"0.5255176\",\n \"0.525516\",\n \"0.5246837\",\n \"0.52408314\",\n \"0.52285576\",\n \"0.5226732\",\n \"0.5212047\",\n \"0.5210766\",\n \"0.5194046\",\n \"0.51895183\",\n \"0.51838195\",\n \"0.5182333\",\n \"0.51822084\",\n \"0.51778865\",\n \"0.5173515\",\n \"0.51698226\",\n \"0.5169441\",\n \"0.51679695\",\n \"0.51661885\",\n \"0.51655483\",\n \"0.5160284\",\n \"0.5149701\",\n \"0.51495224\",\n \"0.5147817\",\n \"0.5146539\",\n \"0.51394194\",\n \"0.513725\",\n \"0.5136348\",\n \"0.51280224\",\n \"0.5124411\",\n \"0.5122602\",\n \"0.5121911\",\n \"0.511201\",\n \"0.5109926\",\n \"0.5103213\"\n]","isConversational":false},"document_score":{"kind":"string","value":"0.0"},"document_rank":{"kind":"string","value":"-1"}}}],"truncated":false,"partial":true},"paginationData":{"pageIndex":17,"numItemsPerPage":100,"numTotalItems":95772,"offset":1700,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3MzYxMjY3Mywic3ViIjoiL2RhdGFzZXRzL25vbWljLWFpL2Nvcm5zdGFjay1weXRob24tdjEiLCJleHAiOjE3NzM2MTYyNzMsImlzcyI6Imh0dHBzOi8vaHVnZ2luZ2ZhY2UuY28ifQ.B8g20hXyYvfgrRnwGCqzsQusiXHNJt9AbvV1mkuu6hJdHZz6xgxVC11qPMW14M1sc4G4l0ZBE1KWPziJqeS7CA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":95772,"numBytesParquet":1928375891}]},"discussionsStats":{"closed":1,"open":1,"total":2},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
query stringlengths 9 3.4k | document stringlengths 9 87.4k | metadata dict | negatives listlengths 4 101 | negative_scores listlengths 4 101 | document_score stringlengths 3 10 | document_rank stringclasses 102 values |
|---|---|---|---|---|---|---|
Used to hide the actual prefix dictionary. | def _getPrefixDict(self):
if not hasattr(self, '_prefixDict'):
self.__prefixDict = {}
return self.__prefixDict | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _resetPrefixDict(self):\r\n self._getPrefixDict().clear()",
"def remove_prefix(self, state_dict, prefix):\n print('remove prefix \\'{}\\''.format(prefix))\n f = lambda x: x.split(prefix, 1)[-1] if x.startswith(prefix) else x # 去除带有prefix的名字\n return {f(key): value for key, value ... | [
"0.6534732",
"0.6454535",
"0.6143842",
"0.60910183",
"0.5947643",
"0.5947643",
"0.58735013",
"0.58210343",
"0.57964146",
"0.57501936",
"0.57409424",
"0.57313424",
"0.5716517",
"0.57021815",
"0.5605354",
"0.5605354",
"0.5517104",
"0.54289126",
"0.54218256",
"0.54174894",
"0.54... | 0.62041974 | 2 |
Clears the prefix dictionary, this needs to be done before creating a new typecode for a message (ie. before, and after creating a new message typecode) | def _resetPrefixDict(self):
self._getPrefixDict().clear() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def reset(self):\n self.footnotes = OrderedDict()\n self.unique_prefix += 1",
"def remove_prefix(self, state_dict, prefix):\n print('remove prefix \\'{}\\''.format(prefix))\n f = lambda x: x.split(prefix, 1)[-1] if x.startswith(prefix) else x # 去除带有prefix的名字\n return {f(key): ... | [
"0.661214",
"0.6500577",
"0.6333235",
"0.60439557",
"0.6028406",
"0.60041296",
"0.5998321",
"0.59930265",
"0.59643847",
"0.59600914",
"0.59294903",
"0.5922057",
"0.5883665",
"0.5853302",
"0.58453923",
"0.5836675",
"0.5826535",
"0.5804847",
"0.5762894",
"0.5750483",
"0.5747566... | 0.8281239 | 0 |
Returns a typecode instance representing the passed in element. element XMLSchema.ElementDeclaration instance literal literal encoding? local is locally defined? namespaceURI namespace | def _getElement(self, element, literal=False, local=False, namespaceURI=None):
if not element.isElement():
raise TypeError, 'Expecting an ElementDeclaration'
tc = None
elementName = element.getAttribute('name')
tp = element.getTypeDefinition('type')
typeObj = None
if not (tp or element.content):
nsuriType,localName = element.getAttribute('type')
typeClass = self._getTypeClass(nsuriType,localName)
typeObj = typeClass(elementName)
elif not tp:
tp = element.content
if not typeObj:
typeObj = self._getType(tp, elementName, literal, local, namespaceURI)
minOccurs = int(element.getAttribute('minOccurs'))
typeObj.optional = not minOccurs
maxOccurs = element.getAttribute('maxOccurs')
typeObj.repeatable = (maxOccurs == 'unbounded') or (int(maxOccurs) > 1)
return typeObj | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def element_type(self) -> global___Type:",
"def create_class_instance(element, element_id, doc_id):\n xsi_type = get_xsi_type(element)\n element_class = XSI_TYPE_CLASSES[xsi_type]\n return element_class.from_etree(element)",
"def element_type(self):\r\n result = conf.lib.clang_getElementType(se... | [
"0.6112495",
"0.5760717",
"0.54377365",
"0.5435102",
"0.54039854",
"0.5333338",
"0.5304633",
"0.5193657",
"0.51740164",
"0.51256275",
"0.51102036",
"0.50124407",
"0.5008194",
"0.4974934",
"0.49698183",
"0.49652553",
"0.49299234",
"0.4924845",
"0.49117178",
"0.48976466",
"0.48... | 0.6733242 | 0 |
Returns a typecode instance representing the passed in type and name. tp XMLSchema.TypeDefinition instance name element name literal literal encoding? local is locally defined? namespaceURI namespace | def _getType(self, tp, name, literal, local, namespaceURI):
ofwhat = []
if not (tp.isDefinition() and tp.isComplex()):
raise EvaluateException, 'only supporting complexType definition'
elif tp.content.isComplex():
if hasattr(tp.content, 'derivation') and tp.content.derivation.isRestriction():
derived = tp.content.derivation
typeClass = self._getTypeClass(*derived.getAttribute('base'))
if typeClass == TC.Array:
attrs = derived.attr_content[0].attributes[WSDL.BASE]
prefix, localName = SplitQName(attrs['arrayType'])
nsuri = derived.attr_content[0].getXMLNS(prefix=prefix)
localName = localName.split('[')[0]
simpleTypeClass = self._getTypeClass(namespaceURI=nsuri, localName=localName)
if simpleTypeClass:
ofwhat = simpleTypeClass()
else:
tp = self._wsdl.types[nsuri].types[localName]
ofwhat = self._getType(tp=tp, name=None, literal=literal, local=True, namespaceURI=nsuri)
else:
raise EvaluateException, 'only support soapenc:Array restrictions'
return typeClass(atype=name, ofwhat=ofwhat, pname=name, childNames='item')
else:
raise EvaluateException, 'complexContent only supported for soapenc:Array derivations'
elif tp.content.isModelGroup():
modelGroup = tp.content
for item in modelGroup.content:
ofwhat.append(self._getElement(item, literal=literal, local=True))
tc = TC.Struct(pyclass=None, ofwhat=ofwhat, pname=name)
if not local:
self._globalElement(tc, namespaceURI=namespaceURI, literal=literal)
return tc
raise EvaluateException, 'only supporting complexType w/ model group, or soapenc:Array restriction' | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def type(name):",
"def get_typecode(self, name):\n return self.codes['type_codes'][name]",
"def name_to_type(self, name):\n return self.CUSTOM_PREFIX + name",
"def _PyType_Lookup(space, type, w_name):\n w_type = from_ref(space, rffi.cast(PyObject, type))\n assert isinstance(w_type, W_TypeObje... | [
"0.68378854",
"0.6094486",
"0.60735965",
"0.5959993",
"0.58422214",
"0.57260895",
"0.57252353",
"0.5668879",
"0.564833",
"0.564122",
"0.5636486",
"0.56226254",
"0.56203324",
"0.5611236",
"0.5606567",
"0.55945",
"0.5588911",
"0.5588712",
"0.55883664",
"0.5574209",
"0.55277264"... | 0.5198417 | 48 |
Returns a typecode class representing the type we are looking for. localName name of the type we are looking for. namespaceURI defining XMLSchema targetNamespace. | def _getTypeClass(self, namespaceURI, localName):
bti = BaseTypeInterpreter()
simpleTypeClass = bti.get_typeclass(localName, namespaceURI)
return simpleTypeClass | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _find_class(self, class_name: str) -> Type:\n return self.class_resolver.find_class(class_name)",
"def find_class(self, class_name: str) -> Type:\n pass",
"def get_class(self, class_name, output_type=\"PythonClass\"):\n uris = self.cls_converter.get_uri(class_name)\n if type(uri... | [
"0.6334454",
"0.63214386",
"0.621163",
"0.60691124",
"0.5908769",
"0.58564675",
"0.5796145",
"0.5774467",
"0.5729281",
"0.5662747",
"0.5652824",
"0.55890405",
"0.5530385",
"0.5529409",
"0.5522239",
"0.5496328",
"0.54915804",
"0.54823256",
"0.54342365",
"0.5419367",
"0.5410473... | 0.7862565 | 0 |
extracts the features used to calculate neural style cost gram_style_features a list of gram matrices calculated from the style layer outputs of the style image content_feature the content layer output of the content image | def generate_features(self):
content_input = self.content_image * 255
style_input = self.style_image * 255
preprocessed_content = tf.keras.applications.vgg19.preprocess_input(
content_input)
preprocessed_style = tf.keras.applications.vgg19.preprocess_input(
style_input)
outputs_content = self.model(preprocessed_content)
outputs_style = self.model(preprocessed_style)
num_style_layers = tf.size(self.style_layers)
style_outputs, content_outputs = (
outputs_style[:num_style_layers],
outputs_content[num_style_layers:])
style_outputs = [self.gram_matrix(
style_output)for style_output in style_outputs]
self.gram_style_features = style_outputs
self.content_feature = content_outputs | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_style_image_features(image):\n ### START CODE HERE ###\n # preprocess the image using the given preprocessing function\n preprocessed_style_image = preprocess_image(image)\n\n # get the outputs from the inception model that you created using inception_model()\n outputs = inception(preprocessed_style_i... | [
"0.78582704",
"0.7087954",
"0.6903325",
"0.6433953",
"0.64332956",
"0.64121157",
"0.6316672",
"0.62753826",
"0.61490476",
"0.6146242",
"0.61101943",
"0.60842645",
"0.6055493",
"0.60267216",
"0.60207623",
"0.6020109",
"0.6018783",
"0.6010386",
"0.5994345",
"0.5985522",
"0.5985... | 0.78912055 | 0 |
Estimates the strongest drivers of each neuron using GTE. | def estimate_parents(D, verbose=1, **params):
# Parameters
CL = params.setdefault('CL', 0.25)
k = params.setdefault('k', 2)
IFT = params.setdefault('IFT', True)
estimate_CL = params.setdefault('estimate_CL', False)
num_parents = params.setdefault('num_parents', 3)
if verbose > 0:
print('Estimating parents using GTE')
# Cast D to only two bins for activity level
D = np.greater(D, 0)
parents = dict()
scores = calc_GTE(
D.T, CL=CL, k=k, IFT=IFT, estimate_CL=estimate_CL, verbose=verbose)
for i in range(scores.shape[0]):
p = (-scores[:,i]).argsort()[:num_parents]
parents[i] = p
return parents, scores | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def SGD2_5all(self, training_data, test_data=None):\r\n final = []\r\n final.append(self.SGD2_5_1(training_data, 10, 10, 3.0,test_data))\r\n\r\n print(\"first done\")\r\n\r\n self.sizes=[784,30,10]\r\n self.num_layers = len(self.sizes)\r\n self.biases = [np.random.randn(y,... | [
"0.5493443",
"0.54361165",
"0.5433714",
"0.54278624",
"0.5415707",
"0.5382359",
"0.53555316",
"0.5353432",
"0.53351855",
"0.5288633",
"0.5276035",
"0.5257488",
"0.52392656",
"0.5214441",
"0.51326734",
"0.5129553",
"0.5117215",
"0.51140994",
"0.5112784",
"0.5106431",
"0.509864... | 0.0 | -1 |
Downsamples spike data to include only the top 1% of frames | def downsample_spikes(S, thres=150, verbose=1):
sum_S = np.sum(S, axis=0)
if verbose > 0:
print(
'Downsampling spike data to {} frames using threshold {}'
.format(np.sum(np.greater(sum_S, thres)), thres))
return S[:, np.greater(sum_S, thres)] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _down_sample(self):\n self._subsamples = self._raw_data.samples[::self._down_sample_factor]\n # Neglects the redundant subsamples in the tails.\n if len(self._subsamples) >= self._number_of_subsamples:\n self._subsamples = self._subsamples[:self._number_of_subsamples]\n if not len(self._subsam... | [
"0.6455042",
"0.61035407",
"0.59346664",
"0.58270806",
"0.58128667",
"0.57843024",
"0.5715292",
"0.57149154",
"0.57001853",
"0.5676207",
"0.5668947",
"0.559317",
"0.5588073",
"0.5547957",
"0.5523909",
"0.5510277",
"0.5501954",
"0.54938704",
"0.54915655",
"0.5463476",
"0.54344... | 0.66121924 | 0 |
Downsamples fluorescence data to include approximately the top 1% of frames based on total increase in activity. Currently the threshold is set for 1000 neurons. Original code from | def downsample_fluorescence(F, thres=20, verbose=1):
diff_F = np.diff(F, axis=1)
sum_F = np.sum(diff_F, axis=0)
F = F[:,:-1]
if verbose > 0:
print(
'Downsampling fluorescence data to {} frames using threshold {}'
.format(np.sum(np.greater(sum_F, thres))))
return F[:, np.greater(sum_F, thres)] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def no_overfitting(self):\n\n # Instance with minimun length should be the maximum length\n train_len = []\n [train_len.append(st['Nevents']) for st in self.stats]\n train_len = np.array(train_len)\n max_len = train_len[train_len != 0].min()\n\n # CROPS FEATURE SAMPLES\n ... | [
"0.61294377",
"0.58991325",
"0.5723101",
"0.56286037",
"0.557679",
"0.5432801",
"0.5261728",
"0.52388954",
"0.5201363",
"0.5196606",
"0.51883674",
"0.5182593",
"0.51802176",
"0.51758677",
"0.5150192",
"0.5148113",
"0.5143918",
"0.51152796",
"0.51152796",
"0.51152796",
"0.5087... | 0.66418946 | 0 |
Generates a balanced set of training examples from a single dataset. | def get_examples(ds_data, network, parents, verbose=1, **params):
# Parameters
classes = params.setdefault('classes', [-1,0,1])
target = params.setdefault('target', int(1.2e6))
slice_len = params.setdefault('slice_len', 330)
assert not target % len(classes)
G = np.mean(ds_data, axis=0)
examples = np.zeros((target, 5, slice_len, 1))
labels = np.zeros((target, len(classes)))
count = 0
if verbose > 0:
print('Generating {} training examples'.format(target))
bar = pb.ProgressBar(max_value=target,
widgets=[pb.Percentage(), ' - ',
pb.Bar(), ' - ',
pb.ETA()])
for c in classes:
pairs = np.argwhere(network == c)
reps = int(target/len(classes)/pairs.shape[0]) + 1
pair_idx = np.repeat(np.arange(pairs.shape[0]), reps)
pair_idx = np.random.permutation(pair_idx)[:target//len(classes)]
start_idx = np.random.randint(
0, ds_data.shape[1]-slice_len, size=target//len(classes))
for i in range(pair_idx.size):
n1 = pairs[pair_idx[i]][0]
n2 = pairs[pair_idx[i]][1]
assert(network[n1,n2] == c)
start = start_idx[i]
end = start + slice_len
p1 = np.mean(ds_data[parents[n1], start:end], axis=0)
p2 = np.mean(ds_data[parents[n2], start:end], axis=0)
examples[count,:,:,0] = np.vstack((
p1,
ds_data[n1][start:end],
G[start:end],
ds_data[n2][start:end],
p2
))
labels[count,:] = np.equal(classes, c, dtype=np.int32)
if verbose > 0:
bar.update(count)
count +=1
if verbose > 0:
bar.finish()
print(
'Generated examples of shape:', examples.shape,
'\nGenerated labels of shape:', labels.shape,
'\nThere are {} classes: {}'.format(len(classes), classes)
)
assert not np.isnan(examples).any()
return examples, labels | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _generate_datasets(self):\n\n degrade_test = False\n if self._opts['degrade_step'] == 'test':\n degrade_test = True\n\n use_trainset_for_tests = UseTrainForTest.IDENTICAL # can be different in few shot workflow\n\n train_dataset, test_dataset = self._gen_datasets_with_options(self._opts['tr... | [
"0.6719611",
"0.66851825",
"0.668324",
"0.65884167",
"0.6578879",
"0.6477982",
"0.6476447",
"0.6440723",
"0.6435114",
"0.6385229",
"0.6352234",
"0.634321",
"0.634212",
"0.63130134",
"0.63006437",
"0.62959516",
"0.6281407",
"0.6270701",
"0.6244588",
"0.62174755",
"0.6190903",
... | 0.6441262 | 7 |
Generates a balanced set of training examples from one or more datasets. | def generate_dataset(
datasets, networks, parents, mode='train', mean=None,
verbose=1, **params):
# Parameters
classes = params.setdefault('classes', [-1,0,1])
data_type = params.setdefault('data_type', 'spikes')
thres = params.setdefault('thres', 150.0)
target = params.setdefault('target', int(1.2e6))
valid_split = params.setdefault('valid_split', 0.1)
slice_len = params.setdefault('slice_len', 330)
assert len(datasets) == len(networks) == len(parents)
examples = np.zeros((target, 5, slice_len, 1))
labels = np.zeros((target, len(classes)))
ex_per_netw = target//len(datasets)
params['target'] = ex_per_netw
for i in range(len(datasets)):
if verbose > 0:
print('Network {} of {}'.format(i+1, len(datasets)))
data = datasets[i]
network = networks[i]
parents_ = parents[i]
if data_type == 'spikes':
ds_data = downsample_spikes(data, thres=thres, verbose=verbose)
elif data_type == 'fluorescence':
ds_data = downsample_fluorescence(
data, thres=thres, verbose=verbose)
else:
raise ValueError('Invalid data type')
start = i*ex_per_netw
end = (i+1)*ex_per_netw
examples[start:end], labels[start:end] = get_examples(
ds_data, network, parents_, verbose=verbose, **params)
shuffle_idx = np.random.permutation(np.arange(examples.shape[0]))
examples = examples[shuffle_idx]
labels = labels[shuffle_idx]
if mode == 'train':
idx = int(examples.shape[0]*valid_split)
ex_valid, ex_train = np.split(examples, [idx], axis=0)
lbl_valid, lbl_train = np.split(labels, [idx], axis=0)
mean = np.mean(ex_train, axis=0)
ex_train -= mean
ex_valid -= mean
return ex_train, ex_valid, lbl_train, lbl_valid, mean
elif mode == 'test':
assert mean != None
examples -= mean
return examples, labels
else:
raise ValueError('Invalid mode') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _generate_datasets(self):\n\n degrade_test = False\n if self._opts['degrade_step'] == 'test':\n degrade_test = True\n\n use_trainset_for_tests = UseTrainForTest.IDENTICAL # can be different in few shot workflow\n\n train_dataset, test_dataset = self._gen_datasets_with_options(self._opts['tr... | [
"0.6996355",
"0.66383696",
"0.6572915",
"0.6517153",
"0.64793134",
"0.64199245",
"0.64149666",
"0.63592505",
"0.63368434",
"0.63012886",
"0.6289509",
"0.62852",
"0.6267794",
"0.62432927",
"0.622932",
"0.62188154",
"0.62153995",
"0.62117213",
"0.6202799",
"0.6186463",
"0.61816... | 0.68757796 | 1 |
Add error messages with Code for easy debugging | def add_codes(cls):
class ErrorsWithCodes: # pylint: disable=too-few-public-methods
"""Add error messages with Code for easy debugging
"""
def __getattribute__(self, code):
msg = getattr(cls, code)
return f'[{code}] {msg}'
return ErrorsWithCodes() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def error(message):\n print str(message)",
"def error(self, message=None, show_help=True):",
"def error(self, message):\n print message",
"def error_mess():\n print(\"Sorry, I didn't understand that.\")",
"def error(self, *lines):\n if self.__debug_level >= DEBUG_LEVELS['error']:\n ... | [
"0.72324693",
"0.71228033",
"0.71033734",
"0.6947497",
"0.69397295",
"0.6862639",
"0.68276596",
"0.6808824",
"0.6751318",
"0.67416126",
"0.67329",
"0.67084694",
"0.6701527",
"0.6690459",
"0.66822183",
"0.66812146",
"0.66701764",
"0.66615677",
"0.6634007",
"0.6626952",
"0.6608... | 0.6224254 | 81 |
Takes an URL, a filename, and the expected bytes, download the contents and returns the filename num_bytes=None disables the file size check. | def maybe_download(url, filename, prefix, num_bytes=None):
local_filename = None
if not os.path.exists(os.path.join(prefix, filename)):
try:
logger.info("Downloading file {}...".format(url + filename))
with tqdm(unit='B', unit_scale=True, miniters=1, desc=filename) as t:
local_filename, _ = urlretrieve(url + filename, os.path.join(prefix, filename),
reporthook=_reporthook(t))
except AttributeError as e:
logger.error("An error occurred when downloading the file! Please get the dataset using a browser.")
raise e
# We have a downloaded file
# Check the stats and make sure they are ok
file_stats = os.stat(os.path.join(prefix, filename))
if num_bytes is None or file_stats.st_size == num_bytes:
logger.info("File {} successfully loaded".format(filename))
else:
raise Exception("Unexpected dataset size. Please get the dataset using a browser.")
return local_filename | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def maybe_download(filename, url, expected_bytes):\n if not os.path.exists(filename):\n filename, _ = urllib.request.urlretrieve(url + filename, filename)\n statinfo = os.stat(filename)\n if statinfo.st_size == expected_bytes:\n print('Found and verified', filename)\n else:\n print... | [
"0.81564283",
"0.81564283",
"0.81564283",
"0.79952234",
"0.7990289",
"0.79747564",
"0.7969037",
"0.7969037",
"0.7902681",
"0.7736243",
"0.761421",
"0.7601226",
"0.7358599",
"0.7322421",
"0.7298379",
"0.7141095",
"0.71260726",
"0.6950416",
"0.6945195",
"0.6897762",
"0.6878477"... | 0.7610241 | 11 |
Submit a metric as a rate, additional tags provided will be added to the ones from the label provided via the metrics object. | def _submit_rate(self, metric_name, val, metric, custom_tags=None, hostname=None):
_tags = self._metric_tags(metric_name, val, metric, custom_tags, hostname)
self.check.rate('{}.{}'.format(self.NAMESPACE, metric_name), val, _tags, hostname=hostname) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def submit_metric(self, metric_suffix, metric, scraper_config, gauge=True, monotonic_count=True):\n metric_name = scraper_config['namespace'] + metric_suffix\n for sample in metric.samples:\n # Explicit shallow copy of the instance tags\n _tags = list(scraper_config['custom_tags... | [
"0.65285105",
"0.58314323",
"0.57720864",
"0.55562365",
"0.5346391",
"0.5288677",
"0.5270663",
"0.5265564",
"0.51896477",
"0.51511014",
"0.5126361",
"0.51259017",
"0.51075906",
"0.5091107",
"0.5091107",
"0.5021949",
"0.5016198",
"0.4961651",
"0.49544987",
"0.49520537",
"0.494... | 0.7829274 | 0 |
Submit a metric as a gauge, additional tags provided will be added to the ones from the label provided via the metrics object. | def _submit_gauge(self, metric_name, val, metric, custom_tags=None, hostname=None):
_tags = self._metric_tags(metric_name, val, metric, custom_tags, hostname)
self.check.gauge('{}.{}'.format(self.NAMESPACE, metric_name), val, _tags, hostname=hostname) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def gauge(self, gauge, value):\n try:\n self._thread_pool_executor.submit(self._delegate.gauge, gauge, value)\n except:\n self._logger.exception('Exception caught submitting gauge metric')",
"def add_gauge(self, data, metric_id=None):\n self._post_data(prefix_id='gauges... | [
"0.7285011",
"0.6867734",
"0.68111044",
"0.6699969",
"0.6642851",
"0.6484831",
"0.64751744",
"0.6383549",
"0.6362057",
"0.6242089",
"0.61857253",
"0.60445803",
"0.5981221",
"0.5947248",
"0.58967316",
"0.5812371",
"0.57682973",
"0.5750602",
"0.5690605",
"0.5674989",
"0.5456014... | 0.7893012 | 0 |
Submit a metric as a monotonic count, additional tags provided will be added to the ones from the label provided via the metrics object. | def _submit_monotonic_count(self, metric_name, val, metric, custom_tags=None, hostname=None):
_tags = self._metric_tags(metric_name, val, metric, custom_tags, hostname)
self.check.monotonic_count('{}.{}'.format(self.NAMESPACE, metric_name), val, _tags, hostname=hostname) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def inc_count(self, metric, value, tags):\n self.increment(metric, value, tags=tags)\n self.increment('%s.count' % metric, tags=tags)",
"def post_save_metrics(sender, **kwargs):\r\n action = 'created' if kwargs.pop('created', False) else 'updated'\r\n\r\n tags = _database_tags(action, sender, kwargs)... | [
"0.7103015",
"0.62737775",
"0.60384905",
"0.60204303",
"0.59881437",
"0.58371973",
"0.5602605",
"0.55809146",
"0.5569244",
"0.5481773",
"0.5438321",
"0.5368393",
"0.53387356",
"0.53331786",
"0.5259395",
"0.5257974",
"0.52503383",
"0.52373564",
"0.52249354",
"0.5209548",
"0.52... | 0.75249547 | 0 |
Override so human players are blue by default | def __init__(self, playerIndex, colour="blue"):
super().__init__(playerIndex, colour) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def test_if_bottom_color_player_well_set(self):\n ui = UIRender(TestUI.image_path)\n ui.set_bottom_player_color(CELTIC_GREEN)\n self.assertEqual(ui.bottom_player_color, CELTIC_GREEN)\n self.assertEqual(ui.top_player_color, SPQR_RED)\n ui.set_bottom_player_color(SPQR_RED)\n ... | [
"0.6794499",
"0.6771435",
"0.6575915",
"0.65424424",
"0.6528288",
"0.640866",
"0.62868875",
"0.6146448",
"0.6046117",
"0.6043046",
"0.60069966",
"0.59718126",
"0.5966473",
"0.5936794",
"0.5885561",
"0.58830494",
"0.58271277",
"0.57827985",
"0.57747686",
"0.57669955",
"0.57326... | 0.65751874 | 3 |
Very important. Lets the UI know to give human player control. | def isHuman(self):
return True | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __handle_view_player(self, gamestate_component):",
"def game_play(self):",
"def auto_play(self):\n raise NotImplementedError(self)",
"def newPlayer():\r\n pass",
"def take_control(self):\n pass",
"def show_playing(self):\n\n print(\"show_playing needs implementation\")",
"de... | [
"0.69776434",
"0.67034006",
"0.6657744",
"0.655654",
"0.6553702",
"0.6436399",
"0.64160234",
"0.6278436",
"0.6235379",
"0.6231291",
"0.6205271",
"0.6144004",
"0.61371064",
"0.6132646",
"0.6123176",
"0.60980403",
"0.60681164",
"0.6064519",
"0.60623634",
"0.60614514",
"0.603418... | 0.0 | -1 |
String representation for a random player. Used for writing results filenames. | def __str__(self):
return "{}_human".format(self.index) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __str__(self):\n \n is_random_print = \"\"\n if self.is_random == True:\n is_random_print = \"randomly\"\n else:\n is_random_print = \"deterministically\"\n\n return \"Player for \" + self.side + \", ply = \" + str(self.ply) + \", breaks ties \" + is_ran... | [
"0.7373667",
"0.71827644",
"0.70852",
"0.69778293",
"0.69040483",
"0.68909234",
"0.6811406",
"0.6797799",
"0.6739397",
"0.673668",
"0.6681964",
"0.66097915",
"0.6596855",
"0.658164",
"0.6565075",
"0.64829636",
"0.6482711",
"0.64633006",
"0.64110553",
"0.6410214",
"0.6378095",... | 0.0 | -1 |
Chooses a move for the player by calling random move. | def chooseMove(self, game):
return self.randomMove(game) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def move_random(self, board):\n self.get_moves(board.board)\n return random.choice(self.available_moves)",
"def move(self):\r\n his_move = random.randint(0, 2)\r\n return the_moves[his_move]",
"def computer_move():\n\tmove = random.choice(moves)\n\tprint \"Computer's move is %s\" % ... | [
"0.8052953",
"0.7979933",
"0.78945196",
"0.7858158",
"0.7849089",
"0.78423244",
"0.7794394",
"0.77650255",
"0.7646826",
"0.7567179",
"0.7565184",
"0.755895",
"0.754698",
"0.75232786",
"0.74944186",
"0.74268633",
"0.7360817",
"0.7327671",
"0.73010206",
"0.7293377",
"0.7293366"... | 0.7899985 | 2 |
Get list of legal moves and return any random one. | def randomMove(self, game):
#time.sleep(0.25)
return random.choice(game.get_all_legal_moves()) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def random_legal_move():\n return random.choice(legal_moves())",
"def get_random_move(self, valid_moves):\n return random.choice(valid_moves)",
"def legal_moves():\n\tlegal_moves = (\"r\", \"p\", \"s\")\n\treturn legal_moves",
"def move_random(self, board):\n self.get_moves(board.board)\n ... | [
"0.82790005",
"0.820212",
"0.764488",
"0.75532055",
"0.7404592",
"0.73601913",
"0.7347978",
"0.7325695",
"0.73243225",
"0.73121375",
"0.7256089",
"0.7213734",
"0.71593404",
"0.71414167",
"0.7133645",
"0.70529675",
"0.7036325",
"0.69154537",
"0.68977284",
"0.6889334",
"0.68773... | 0.80969596 | 2 |
Very important. Lets the UI know NOT to give AI player UI control. | def isHuman(self):
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def take_control(self):\n pass",
"def isUIused():\n return False",
"def __handle_view_player(self, gamestate_component):",
"def __disableControls(self):\n self.ignoreAll()",
"def noyable(self):\n return False",
"def control_plugin(self):\n pass",
"def _control_skip(self):... | [
"0.629158",
"0.62601733",
"0.62392414",
"0.6203768",
"0.6019735",
"0.60026574",
"0.59875256",
"0.5963308",
"0.595724",
"0.59545267",
"0.59274596",
"0.59116316",
"0.5896117",
"0.5860238",
"0.5832094",
"0.5797094",
"0.57889205",
"0.57613266",
"0.571739",
"0.5679264",
"0.5675429... | 0.0 | -1 |
String representation for a random player. Used for writing results filenames. | def __str__(self):
return "{}_random".format(self.index) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __str__(self):\n \n is_random_print = \"\"\n if self.is_random == True:\n is_random_print = \"randomly\"\n else:\n is_random_print = \"deterministically\"\n\n return \"Player for \" + self.side + \", ply = \" + str(self.ply) + \", breaks ties \" + is_ran... | [
"0.7373667",
"0.71827644",
"0.70852",
"0.69778293",
"0.69040483",
"0.68909234",
"0.6811406",
"0.6797799",
"0.6739397",
"0.673668",
"0.6681964",
"0.66097915",
"0.6596855",
"0.658164",
"0.6565075",
"0.64829636",
"0.6482711",
"0.64633006",
"0.64110553",
"0.6410214",
"0.6378095",... | 0.59313565 | 54 |
Replace multiple assignment with single assignments. | def visit_Assign(self, node):
self.generic_visit(node)
is_multiple = len(node.targets) > 1
is_compound = any(map(is_sequence_node, node.targets))
is_simple = not is_compound
if is_simple and is_multiple:
return self.visit_simple_assign(node)
elif is_compound and (is_multiple or is_sequence_node(node.value)):
return self.visit_compound_assign(node)
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def visit_compound_assign(self, node):\n # Determine number of values (arity) of compound assignment.\n nvalues = { len(target.elts) for target in node.targets \n if is_sequence_node(target) }\n if len(nvalues) > 1:\n # A multiple, compound assignment with differe... | [
"0.6289772",
"0.6041632",
"0.5921341",
"0.5901611",
"0.57016975",
"0.5555649",
"0.55510634",
"0.5515211",
"0.5515172",
"0.55127996",
"0.54904634",
"0.5386734",
"0.5356579",
"0.5338033",
"0.53110933",
"0.528611",
"0.52802086",
"0.5280196",
"0.5250439",
"0.52424175",
"0.5139302... | 0.55901885 | 5 |
Visit assignment node whose targets are all simple. | def visit_simple_assign(self, node):
temp = gensym()
temp_target = to_name(temp, ast.Store())
stmts = [ ast.Assign([temp_target], node.value) ]
stmts += [ ast.Assign([target], to_name(temp))
for target in node.targets ]
return stmts | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def visit_Assign(self, node):\n self.generic_visit(node)\n is_multiple = len(node.targets) > 1\n is_compound = any(map(is_sequence_node, node.targets))\n is_simple = not is_compound\n if is_simple and is_multiple:\n return self.visit_simple_assign(node)\n elif i... | [
"0.69212425",
"0.64886594",
"0.6375846",
"0.6128011",
"0.5978111",
"0.5925981",
"0.59075874",
"0.58308166",
"0.57873815",
"0.572006",
"0.5688921",
"0.5654621",
"0.5651131",
"0.5596672",
"0.5524254",
"0.5473678",
"0.5473099",
"0.53852975",
"0.53435594",
"0.529892",
"0.52969265... | 0.70178634 | 0 |
Visit assignment node with at least one compound target. | def visit_compound_assign(self, node):
# Determine number of values (arity) of compound assignment.
nvalues = { len(target.elts) for target in node.targets
if is_sequence_node(target) }
if len(nvalues) > 1:
# A multiple, compound assignment with different arities, e.g.,
# `x,y = a,b,c = ...` is not a syntax error in Python, though it
# probably should be because it's guaranteed to cause a runtime
# error. Raise the error here, since we cannot proceed.
raise SyntaxError("Multiple assignment with different arities")
nvalues = nvalues.pop()
# Assign temporary variables.
temps = [ gensym() for i in range(nvalues) ]
stmts = []
if is_sequence_node(node.value) and len(node.value.elts) == nvalues:
# Special case: RHS is sequence literal of correct length.
for i in range(nvalues):
temp_target = to_name(temps[i], ast.Store())
stmts.append(ast.Assign([temp_target], node.value.elts[i]))
else:
# General case.
temp_target = to_tuple(
(to_name(temp, ast.Store()) for temp in temps), ast.Store())
stmts.append(ast.Assign([temp_target], node.value))
# Rewrite assignments as sequence of assignments.
for target in reversed(node.targets):
if is_sequence_node(target):
stmts.extend(ast.Assign([target.elts[i]], to_name(temps[i]))
for i in range(nvalues))
else:
temp_tuple = to_tuple(to_name(temp) for temp in temps)
stmts.append(ast.Assign([target], temp_tuple))
return stmts | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def visit_Assign(self, node):\n self.generic_visit(node)\n is_multiple = len(node.targets) > 1\n is_compound = any(map(is_sequence_node, node.targets))\n is_simple = not is_compound\n if is_simple and is_multiple:\n return self.visit_simple_assign(node)\n elif i... | [
"0.7261902",
"0.6757224",
"0.64843816",
"0.63659924",
"0.624103",
"0.62127984",
"0.6177989",
"0.61282015",
"0.60786444",
"0.604624",
"0.60448",
"0.5942896",
"0.59183824",
"0.5750465",
"0.57303625",
"0.5648947",
"0.55960566",
"0.5571266",
"0.5543112",
"0.5511169",
"0.5493238",... | 0.7176904 | 1 |
Replace multiple deletion with single deletions. | def visit_Delete(self, node):
self.generic_visit(node)
if len(node.targets) > 1:
return [ ast.Delete([node.target]) for target in node.targets ]
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def remove_deletions(murim_mutations):\n\n pass",
"def del_primers(primers,\n deletions):\n \n # Sort primers in reverse order so indices remain correct during deletion\n deletions.sort(reverse=True)\n for n in deletions:\n del primers[n]\n return primers",
"def delete_m... | [
"0.6490101",
"0.5986913",
"0.5909",
"0.59087205",
"0.58310133",
"0.57015437",
"0.56676894",
"0.5641197",
"0.55778617",
"0.5471409",
"0.54256725",
"0.53889436",
"0.53551024",
"0.5288458",
"0.52593184",
"0.52453256",
"0.52418804",
"0.5230966",
"0.51611537",
"0.5143816",
"0.5125... | 0.5214702 | 18 |
Convert attribute access to `getattr` call. | def visit_Attribute(self, node):
self.generic_visit(node)
if isinstance(node.ctx, ast.Load):
args = [ node.value, ast.Str(node.attr) ]
return to_call(to_name('getattr'), args)
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __getattr__(self, attr):\n return getattr(self.get_function(), attr)",
"def __getattr__(self, attr):\n\n\tcommand = attr.replace('_', '-')\n\n\tif command in self.lambda_cache:\n\t return self.lambda_cache[command]\n\n\tif command in self.command_table: # is valid\n\t if command in ('read-data',... | [
"0.7326412",
"0.6922202",
"0.6918359",
"0.6700088",
"0.66784173",
"0.66713166",
"0.66044515",
"0.6591623",
"0.65870625",
"0.6569076",
"0.6569076",
"0.65116334",
"0.6508529",
"0.64372194",
"0.6435451",
"0.64023787",
"0.6391228",
"0.63764155",
"0.6372691",
"0.63678974",
"0.6345... | 0.61914927 | 29 |
Convert assignment to attributes to `setattr` call. | def visit_Assign(self, node):
self.generic_visit(node)
target = get_single_target(node)
if isinstance(target, ast.Attribute):
args = [ target.value, ast.Str(target.attr), node.value ]
return ast.Expr(to_call(to_name('setattr'), args))
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",
"def __setattr__(*args):",... | [
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.65005827",
"0.64025",
... | 0.708953 | 0 |
Convert `del` on attributes to `delattr` call. | def visit_Delete(self, node):
self.generic_visit(node)
target = get_single_target(node)
if isinstance(target, ast.Attribute):
args = [ target.value, ast.Str(target.attr) ]
return ast.Expr(to_call(to_name('delattr'), args))
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __delattr__(cls, name):\n raise TypeError('May not delete attributes on definition class')",
"def __delattr__(self, item):\n raise AttributeError(f'Attribute {key} can not be deleted')",
"def __delattr__(self, name):\n del self[name]",
"def __delattr__(self, name):\n self.unse... | [
"0.70554286",
"0.6918985",
"0.6561412",
"0.6517371",
"0.6463424",
"0.63563657",
"0.6319125",
"0.6317646",
"0.6296523",
"0.62805814",
"0.6253668",
"0.62185895",
"0.62172204",
"0.6147379",
"0.6073365",
"0.6065975",
"0.6024653",
"0.6012962",
"0.59854305",
"0.5978835",
"0.5920412... | 0.6552601 | 3 |
Convert index (slice) to functional expression. | def index_to_expr(self, index):
if isinstance(index, ast.Index):
return index.value
elif isinstance(index, ast.Slice):
if index.lower is None and index.step is None:
args = [ index.upper ]
elif index.step is None:
args = [ index.lower, index.upper ]
else:
args = [ index.lower, index.upper, index.step ]
args = [ to_name_constant(None) if arg is None else arg
for arg in args ]
return to_call(to_name('slice'), args)
elif isinstance(index, ast.ExtSlice):
indexes = list(map(self.index_to_expr, index.dims))
return ast.Tuple(elts=indexes, ctx=ast.Load())
elif isinstance(index, ast.Tuple):
elts = list(map(self.index_to_expr, index.elts))
return ast.Tuple(elts=elts, ctx=ast.Load())
else:
return index | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __getitem__(self, index: Any) -> ColumnOperators:\n return self.operate(getitem, index)",
"def special_slice(self, form):\n obj = self.reallyCompile(form[1])\n rest = form[2:]\n if len(rest) == 1:\n return ast.Subscript(obj, 'OP_APPLY', [self.reallyCompile(rest[0])])\n ... | [
"0.6217184",
"0.5981041",
"0.5913932",
"0.5875691",
"0.57255584",
"0.56947947",
"0.55419147",
"0.5474115",
"0.5463078",
"0.5445567",
"0.5418668",
"0.53971356",
"0.5378227",
"0.53756636",
"0.5320697",
"0.53108877",
"0.5268785",
"0.52610666",
"0.52600414",
"0.5241331",
"0.52413... | 0.7314768 | 0 |
Convert indexing to `getitem` call. | def visit_Subscript(self, node):
self.generic_visit(node)
if isinstance(node.ctx, ast.Load):
args = [ node.value, self.index_to_expr(node.slice) ]
return to_call(to_attribute(self.operator, 'getitem'), args)
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __getitem__(self, idx):\n if not isinstance(idx, slice):\n return self._fetch()[idx]\n return self._fetch()[idx.start:idx.stop]",
"def __getitem__(self, idx):\n return self.getitem(idx)",
"def __getitem__(self, index):\n # type: (int) -> Any\n items = list.__ge... | [
"0.7552691",
"0.7426195",
"0.7328249",
"0.7320789",
"0.7315738",
"0.7315738",
"0.72576785",
"0.7215699",
"0.7099744",
"0.7099744",
"0.7095745",
"0.7095745",
"0.7084862",
"0.7081519",
"0.70618874",
"0.70596737",
"0.7020587",
"0.69942844",
"0.69942844",
"0.69866604",
"0.6984443... | 0.0 | -1 |
Convert indexed assignment to `setitem` call. | def visit_Assign(self, node):
self.generic_visit(node)
target = get_single_target(node)
if isinstance(target, ast.Subscript):
fun = to_attribute(self.operator, 'setitem')
args = [target.value, self.index_to_expr(target.slice), node.value]
return ast.Expr(to_call(fun, args))
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __setitem__(self, idx, value):\n if not isinstance(value, nodes.Node):\n raise NotImplementedError(\"setitem with non-blaze rhs\")\n result = self.getitem(idx, context='set')\n result = Assign('assign', [result, value])\n result.eval()",
"def __setitem__(self, index: in... | [
"0.7797051",
"0.7401053",
"0.73361707",
"0.7178626",
"0.7156668",
"0.71429896",
"0.7103829",
"0.70937896",
"0.6975121",
"0.6972701",
"0.69715893",
"0.6964855",
"0.69308025",
"0.6930015",
"0.69153154",
"0.6901336",
"0.6901336",
"0.6901336",
"0.6901336",
"0.69008344",
"0.685737... | 0.6483923 | 62 |
Convert indexed `del` operation to `delitem` call. | def visit_Delete(self, node):
self.generic_visit(node)
target = get_single_target(node)
if isinstance(target, ast.Subscript):
fun = to_attribute(self.operator, 'delitem')
args = [ target.value, self.index_to_expr(target.slice) ]
return ast.Expr(to_call(fun, args))
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __delitem__(self, key):\n if self.__pepth__ != 0:\n return plist.__getattr__(self, '__delitem__')(key)\n try:\n if (isinstance(key, list)\n and plist(key).all(isinstance, int)):\n for k in sorted(key, reverse=True):\n operator.__delitem__(self, k)\n else:\n ... | [
"0.66921794",
"0.6634915",
"0.6633796",
"0.6570889",
"0.6552683",
"0.65220124",
"0.6386673",
"0.637424",
"0.633695",
"0.6330479",
"0.63189936",
"0.629664",
"0.62494636",
"0.6222551",
"0.6222551",
"0.6154767",
"0.6154767",
"0.6136742",
"0.6106075",
"0.6077464",
"0.60384274",
... | 0.67726755 | 0 |
Convert indexed augmented assignment to `getitem`/`setitem` calls. | def visit_AugAssign(self, node):
self.generic_visit(node)
stmts = []
target = node.target
if not isinstance(target, ast.Subscript):
return node
# AST node for target value, gensym-ed if necessary.
if self.can_reevaluate(target.value):
target_node = target.value
else:
target_node = to_name(gensym())
stmts.append(ast.Assign(
[set_ctx(target_node, ast.Store())], target.value))
# AST node for index, gensym-ed if necessary.
index_expr = self.index_to_expr(target.slice)
if self.can_reevaluate(index_expr):
index_node = index_expr
else:
index_node = to_name(gensym())
stmts.append(ast.Assign(
[set_ctx(index_node, ast.Store())], index_expr))
# Main AST node for the indexed augemented assignment.
stmts.append(ast.Expr(
to_call(to_attribute(self.operator, 'setitem'), [
target_node,
index_node,
to_call(self.op_to_function(node.op), [
to_call(to_attribute(self.operator, 'getitem'), [
target_node,
index_node,
]),
node.value
])
])
))
return stmts | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def special_setitem(self, form):\n obj = self.reallyCompile(form[1])\n key = self.reallyCompile(form[2])\n value = self.reallyCompile(form[3])\n return ast.Assign([ast.Subscript(obj,\n 'OP_ASSIGN',\n [key])]... | [
"0.628359",
"0.6214197",
"0.5985369",
"0.5843468",
"0.56949717",
"0.5647313",
"0.56271034",
"0.5615518",
"0.55904377",
"0.5575391",
"0.5575391",
"0.5575391",
"0.5575391",
"0.55560446",
"0.5552748",
"0.5485441",
"0.5474524",
"0.54711777",
"0.54630387",
"0.54482377",
"0.5441601... | 0.6089785 | 2 |
Whether the AST node can be safely evaluated twice. | def can_reevaluate(self, node):
return isinstance(node, (ast.Name, ast.Num, ast.Str)) or \
(six.PY3 and isinstance(node, ast.Bytes)) or \
(ast_has_name_constant and isinstance(node, ast.NameConstant)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def evil_hack(self, other):\n if isinstance(other, FExpr):\n return other == self\n return isinstance(other, self.__class__) and self.id == other.id",
"def can_rewrite(self, lhs):\n return len(self[lhs]) > 0",
"def is_used_as_expression(item):\n # note: this is not accurate because of th... | [
"0.5983335",
"0.5781899",
"0.5668821",
"0.5606019",
"0.5595086",
"0.556334",
"0.5537646",
"0.55246955",
"0.542583",
"0.5423907",
"0.5420764",
"0.54188806",
"0.5378163",
"0.5366631",
"0.53475344",
"0.53304714",
"0.5311328",
"0.5301695",
"0.5297375",
"0.52919585",
"0.5287243",
... | 0.6013396 | 0 |
Convert AST operator to function in operator module. | def op_to_function(self, op):
name = op.__class__.__name__.lower()
return to_attribute(self.operator, inplace_operator_table[name]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def op_to_function(self, op):\n name = op.__class__.__name__.lower()\n name = operator_table.get(name, name)\n return to_attribute(self.operator, name)",
"def _convert_operator(\n self, op_name, node_name, inputs, attrs, identity_list=None, convert_map=None\n ):\n identity_l... | [
"0.7403406",
"0.68868965",
"0.670449",
"0.6681713",
"0.65929717",
"0.65538996",
"0.6334976",
"0.6330674",
"0.63050497",
"0.62751913",
"0.59945136",
"0.59220994",
"0.58847594",
"0.582918",
"0.58211267",
"0.5793635",
"0.579274",
"0.57560617",
"0.56892043",
"0.5672466",
"0.56405... | 0.7269648 | 1 |
Convert augmented assignment to assignment plus function call. | def visit_AugAssign(self, node):
# FIXME: Gensym the LHS to avoid two evaluations.
self.generic_visit(node)
rhs = to_call(self.op_to_function(node.op),
[set_ctx(node.target), node.value])
return ast.Assign([node.target], rhs) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _AugAssign(self, t):\n if not isinstance(t.target, ast.Name):\n self.RaiseError(t, \"Augmented assignment to complex expressions not supported\")\n # check if target exists in locals\n if t.target.id not in self._locals :\n self.RaiseError(t, \"Augmented assignment no... | [
"0.6730379",
"0.60008764",
"0.59139097",
"0.5711847",
"0.56486744",
"0.56235904",
"0.558098",
"0.5525872",
"0.5452114",
"0.5416577",
"0.5416467",
"0.53805333",
"0.53741395",
"0.53737843",
"0.53596747",
"0.5325352",
"0.5319974",
"0.5307721",
"0.52776676",
"0.5269577",
"0.52540... | 0.61607265 | 1 |
Convert AST operator to function in operator module. | def op_to_function(self, op):
name = op.__class__.__name__.lower()
name = operator_table.get(name, name)
return to_attribute(self.operator, name) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def op_to_function(self, op):\n name = op.__class__.__name__.lower()\n return to_attribute(self.operator, inplace_operator_table[name])",
"def _convert_operator(\n self, op_name, node_name, inputs, attrs, identity_list=None, convert_map=None\n ):\n identity_list = identity_list if ... | [
"0.7269387",
"0.68856734",
"0.67033535",
"0.6680751",
"0.6593878",
"0.65538615",
"0.6333541",
"0.6330422",
"0.63046694",
"0.6274489",
"0.5995828",
"0.5922164",
"0.5883966",
"0.5829021",
"0.5820589",
"0.5794242",
"0.5792682",
"0.57558066",
"0.5689504",
"0.5672094",
"0.56409925... | 0.740287 | 0 |
Convert unary operator to function call. | def visit_UnaryOp(self, node):
self.generic_visit(node)
if isinstance(node.operand, ast.Num):
# Don't transform negations of numeric literals. Just treat them
# as literals.
return node
return to_call(self.op_to_function(node.op), [node.operand]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def unary_operator(op):\n # Only negate is currently supported for all our possible input types.\n valid_ops = {'-'}\n if op not in valid_ops:\n raise ValueError(\"Invalid unary operator %s.\" % op)\n\n def unary_operator(self):\n # This can't be hoisted up a scope because the types retur... | [
"0.72016424",
"0.694165",
"0.6555362",
"0.6547756",
"0.64053464",
"0.63873965",
"0.63089716",
"0.6237462",
"0.6215301",
"0.6152752",
"0.61284393",
"0.6099685",
"0.5980428",
"0.5957063",
"0.5941364",
"0.59279454",
"0.59157944",
"0.590933",
"0.5902454",
"0.5870478",
"0.58691585... | 0.68839115 | 2 |
Convert binary operator to function call. | def visit_BinOp(self, node):
self.generic_visit(node)
return to_call(self.op_to_function(node.op), [node.left, node.right]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def op_to_function(self, op):\n name = op.__class__.__name__.lower()\n name = operator_table.get(name, name)\n return to_attribute(self.operator, name)",
"def op_to_function(self, op):\n name = op.__class__.__name__.lower()\n return to_attribute(self.operator, inplace_operator_... | [
"0.69218695",
"0.67679876",
"0.66050005",
"0.6560225",
"0.6488998",
"0.63463247",
"0.6271635",
"0.62432164",
"0.62399954",
"0.61941004",
"0.61931217",
"0.6169983",
"0.6155207",
"0.6142081",
"0.6140598",
"0.6131111",
"0.61122173",
"0.61021495",
"0.60998577",
"0.6044439",
"0.60... | 0.6633928 | 2 |
Convert comparison operator to function call. | def visit_Compare(self, node):
self.generic_visit(node)
if len(node.ops) > 1:
raise NotImplementedError("Multiple comparisons not supported")
op, comparator = node.ops[0], node.comparators[0]
if isinstance(op, ast.In):
# Special case: `contains` reverses the operands.
return to_call(to_attribute(self.operator, 'contains'),
[comparator, node.left])
elif isinstance(op, ast.NotIn):
# Special case: there is no `not_contains`.
return to_call(to_attribute(self.operator, 'not_'), [
to_call(to_attribute(self.operator, 'contains'),
[comparator, node.left])
])
else:
# General case
return to_call(self.op_to_function(op), [node.left, comparator]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def compare(self, operator, value, **kw):\n\n return operator(self.comparator, value)",
"def comparison(op):\n def comp(*args):\n if args:\n item = args[0]\n for o in args[1:]:\n if op(item, o):\n item = o\n else:\n ... | [
"0.73119915",
"0.6936276",
"0.67142797",
"0.6697332",
"0.6670698",
"0.63985837",
"0.6394015",
"0.6347988",
"0.6329906",
"0.62401164",
"0.6220372",
"0.6147607",
"0.6115169",
"0.6115023",
"0.6092435",
"0.6043819",
"0.6031347",
"0.60203665",
"0.5976809",
"0.5946226",
"0.5938605"... | 0.6528138 | 5 |
Convert list literal to function call. | def visit_List(self, node):
self.generic_visit(node)
if isinstance(node.ctx, ast.Load):
return to_call(to_attribute(self.operator, '__list__'), node.elts)
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _maplist_vm(vm, f, xs):\n def f_(*args):\n return vm.call(f, args)\n return list(map(f_, xs))",
"def listify(arg):\n if isinstance(arg, list):\n return arg\n else:\n return [arg]",
"def eval_f(f, xs):\n l = []\n for x in xs:\n l.append(f(x))\n return l",
"... | [
"0.6245148",
"0.61611956",
"0.60648584",
"0.6038298",
"0.59792304",
"0.59553707",
"0.59013915",
"0.5873387",
"0.5854381",
"0.5801732",
"0.57718545",
"0.5754236",
"0.5722947",
"0.5686056",
"0.5682627",
"0.56783223",
"0.5655683",
"0.5624097",
"0.5621373",
"0.5564674",
"0.555357... | 0.6453626 | 0 |
Convert tuple literal to function call. | def visit_Tuple(self, node):
self.generic_visit(node)
if isinstance(node.ctx, ast.Load):
return to_call(to_attribute(self.operator, '__tuple__'), node.elts)
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def eval_func_tuple(f_args):\n return f_args[0](*f_args[1:])",
"def tuple(x):\n pass",
"def parse_tuple(value):\n match = re.match(r'(\\w+)=(\\w+)\\((.*?)\\)', value)\n assert match, \"could not parse '%s'\" % value\n return match.group(1), eval(match.group(2))(match.group(3))",
"def func_call(s... | [
"0.7458055",
"0.63818896",
"0.6287098",
"0.62121403",
"0.6174",
"0.61714363",
"0.61672425",
"0.61028904",
"0.6084416",
"0.606182",
"0.6054684",
"0.6038045",
"0.5894287",
"0.58655924",
"0.5855375",
"0.5848195",
"0.58276147",
"0.58071357",
"0.57829064",
"0.57389504",
"0.5675090... | 0.65799105 | 1 |
Convert set literal to function call. | def visit_Set(self, node):
self.generic_visit(node)
return to_call(to_attribute(self.operator, '__set__'), node.elts) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set(self, arg: SeField[Any]) -> str:\n if is_bare_set(arg.type):\n return f\"list({arg.varname}) if convert_sets else {arg.varname}\"\n else:\n earg = arg[0]\n earg.name = \"v\"\n return (\n f\"[{self.render(earg)} for v in {arg.varname}]... | [
"0.6105887",
"0.60869235",
"0.6042422",
"0.594492",
"0.58734345",
"0.5806317",
"0.5636314",
"0.5612864",
"0.5483707",
"0.546873",
"0.54369307",
"0.5421345",
"0.5389135",
"0.5195353",
"0.5110589",
"0.5105132",
"0.5087218",
"0.5083517",
"0.5051965",
"0.50517464",
"0.5040997",
... | 0.6132109 | 0 |
Convert dictionary literal to function call, if possible. | def visit_Dict(self, node):
self.generic_visit(node)
if all(isinstance(key, ast.Str) for key in node.keys):
keywords = [ ast.keyword(arg=key.s, value=value)
for key, value in zip(node.keys, node.values) ]
return to_call(to_name('dict'), keywords=keywords)
return node | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def callableize(f_or_d):\n return f_or_d.get if isinstance(f_or_d,dict) else f_or_d",
"def callFuncBasedOnDict(func, argdict, **kwargs):\n if argdict is None:\n argdict = {}\n seldict = selectArgsFromDict(func, argdict)\n if kwargs is not None:\n seldict.update(kwargs)\n return func(... | [
"0.64434266",
"0.63088524",
"0.61875296",
"0.6126158",
"0.5683456",
"0.5670447",
"0.56030446",
"0.5584195",
"0.55224985",
"0.5522239",
"0.5520842",
"0.54833007",
"0.54591936",
"0.53802735",
"0.53729284",
"0.5354577",
"0.529072",
"0.52826643",
"0.524588",
"0.5245523",
"0.52242... | 0.0 | -1 |
User inputs the of and names of all players | def addPlayers():
# stackoverflow.com/questions/12169258/should-i-use-entrys-get-or-its-textvariables-for-tkinter-in-python
print("\nInitial # of players (Line #26) = " + str(self.number_of_players))
# Collect user input from the entry widget & turn it into an int
while (self.number_of_players < 2):
try:
user_input_number_of_players = int(entry_player_number.get())
print("Inside try block, user_input = " + str(user_input_number_of_players))
if(user_input_number_of_players < 2):
tkinter.messagebox.showerror('Non-Integer Input', 'User MUST enter a player # > 1.', icon='error')
tkinter.messagebox.quit()
tkinter.messagebox.destroy()
user_input_number_of_players = int(entry_player_number.get())
else:
self.number_of_players = user_input_number_of_players
except ValueError:
tkinter.messagebox.showerror('Non-Integer Input', 'User MUST enter a player # greater than 1.', icon='error')
tkinter.messagebox.quit()
tkinter.messagebox.destroy()
# Add a label
myLabel1b = tkinter.Label(self.root, text="Please Enter Player Names: ", width=25)
myLabel1b.config(font="Courier 14 bold")
myLabel1b.grid(row=2, column=1)
# GET PLAYER NAMES FROM USER....USE A SCROLLING CANVAS FRAME
#Make a scrollable frame appear
# Scroll appears, but doesn't function
# Code for scrollable frame came from:
myframe = tkinter.Frame(root, relief=tkinter.GROOVE, width=100, height=100)
myframe.grid(row=3, column=3, columnspan=2, pady=30, padx=30)
myframe.config(width=5)
# https://stackoverflow.com/questions/16188420/tkinter-scrollbar-for-frame
self.tree = ttk.Treeview(myframe, selectmode="extended")
scbVDirSel = ttk.Scrollbar(myframe, orient=tkinter.VERTICAL, command=self.tree.yview)
self.tree.configure(yscrollcommand=scbVDirSel.set)
# self.tree["columns"] = (self.columnListOutput)
self.tree.column("#0", width=40)
self.tree.heading("#0", text='SrNo', anchor='w')
self.tree.grid(row=2, column=0, sticky=tkinter.NSEW, in_=myframe, columnspan=10, rowspan=10)
scbVDirSel.grid(row=2, column=10, rowspan=10, sticky=tkinter.NS, in_=myframe)
myframe.rowconfigure(0, weight=1)
myframe.columnconfigure(0, weight=1)
# put entry boxes for player names inside the scrollable frame
for x in range(self.number_of_players):
print(x+1)
# Add a label
myLabel1b = tkinter.Label(myframe, text="Player #" + str(x+1)+ ": ")
myLabel1b.config(font="Courier 14 bold")
myLabel1b.grid(row=4+x, column=3)
# Fix this textVariable parameter - unecessary?
# https://stackoverflow.com/questions/32640219/creating-stringvar-variables-in-a-loop-for-tkinter-entry-widgets
# user_input_player_names = tkinter.StringVar()
name_entries = []
for i in range(self.number_of_players):
entry_player_name = tkinter.Entry(myframe, width=10, borderwidth=2)
# entry_player_name.set(str(x+1))
entry_player_name.grid(row=4+x, column=4)
name_entries.append(entry_player_name)
# specify a default value inside the entry box
# entry_player_number.insert(0,int("2"))
# Add a button for adding players names into the game
addPlayerNamesButton = tkinter.ttk.Button(self.root,
text="Enter Names",
command=get_player_names_from_user)
addPlayerNamesButton.grid(row=self.number_of_players+2, column=4)
# Make old label, entry, and button dissapear
myLabel1.grid_forget()
entry_player_number.grid_forget()
addPlayerButton.grid_forget()
print("# of players after button click = " + str(self.number_of_players))
# Set class instance value to this input from the user
return self.number_of_players | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_players(self):\n for i in range(self.number_of_players):\n self.players_names.append(pyip.inputStr(\n prompt=f'\\nEnter name of player {i + 1}:\\n'))",
"def set_name(self):\n player1 = input('Enter a name for player 1: ')\n self._players.append(player1)\n... | [
"0.79158205",
"0.785065",
"0.7320951",
"0.7222905",
"0.71919775",
"0.71211344",
"0.7065533",
"0.7033948",
"0.69090784",
"0.67799306",
"0.6779573",
"0.6625977",
"0.6590808",
"0.6588982",
"0.65594393",
"0.65389705",
"0.6485963",
"0.648116",
"0.64683044",
"0.6448013",
"0.6418692... | 0.0 | -1 |
Reads a file and returns statistics about the contents. | def analyzeFile(filename):
fileData = open(filename, encoding="utf-8") # open the file
counts = {}
for line in fileData: # iterates over every line of the file
words = line.split() # turns each line into a list
for word in words: #iterates over the words in each line list
word = word.lower().strip(string.whitespace+string.punctuation)
if len(word) > 0: #make sure word is longer than 0 before adding it to the dictionary
counts[word] = counts.get(word, 0) + 1 #look up if the dictionary has that word and if not then it'll add that word with the value 0 associated with it and then add one to that, if it has seen it it'll add 1 to the value stored in the counts dictionary
#when it gets here for the first line it goes back up to the top and repeats for the 2nd line
mostCommonWord = [word]
leastCommonWord = [word]
shortestWord = [word]
longestWord = [word]
for item in counts:
if counts[mostCommonWord[0]] < counts[item]:
mostCommonWord = [item]
elif counts[mostCommonWord[0]] == counts[item]:
mostCommonWord.append(item)
if counts[leastCommonWord[0]] > counts[item]:
leastCommonWord = [item]
elif counts[leastCommonWord[0]] == counts[item]:
leastCommonWord.append(item)
if len(shortestWord[0]) > len(item):
shortestWord = [item]
elif len((shortestWord[0])) == len(item):
shortestWord.append(item)
if len(longestWord[0]) < len(item):
longestWord = [item]
elif len(longestWord[0]) == len(item):
longestWord.append(item)
return (mostCommonWord, leastCommonWord, shortestWord, longestWord) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def readStatFile(filePath):\n f = open(filePath, 'r')\n\n allStats = {}\n overviewStats = {}\n category = ''\n folder = ''\n method = ''\n\n for line in f:\n # Check if the line contains the 'cm' character and thus provides information of the specific folder\n if 'cm' in line:\n ... | [
"0.6311686",
"0.6240214",
"0.6233331",
"0.6196064",
"0.6166038",
"0.6145933",
"0.6106974",
"0.6092859",
"0.6058845",
"0.6050925",
"0.60243064",
"0.60074306",
"0.60046774",
"0.5990698",
"0.59887534",
"0.5984321",
"0.59824026",
"0.5976109",
"0.5953878",
"0.5952983",
"0.59175605... | 0.0 | -1 |
This takes a string as an input parameter and treats it as a zip code, looks up the weather for that zipcode, and returns the current temperature at that zipcode in Fahrenheit. | def weather(zipcode):
URL = 'http://api.openweathermap.org/data/2.5/weather?zip=' + zipcode + ',us&appid=' + '7d7a3cf9902ef14f54f49f160fc8a550' + '&units=imperial'
webpage = urllib.request.urlopen(URL)
contents = webpage.read()
contents = contents.decode('ascii')
weather = eval(contents) #this line turns it from a string into dictionaries and lists
temperature = weather['main']['temp']
return temperature | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get(self, zipcode):\n response = hereService.getWeatherByZipcode(zipcode)\n return response",
"def get_current_temperature(zipcode, country):\n owm = pyowm.OWM(os.environ.get('OWM_KEY'))\n observation = owm.weather_at_zip_code(zipcode, country)\n weather = observation.get_weather()\n ... | [
"0.6631745",
"0.6549503",
"0.6489142",
"0.6372373",
"0.63502383",
"0.62462974",
"0.6226757",
"0.6073102",
"0.6010607",
"0.5896707",
"0.58758765",
"0.58282274",
"0.57842165",
"0.57408905",
"0.57213604",
"0.57094175",
"0.56968915",
"0.56946063",
"0.5681781",
"0.5656904",
"0.561... | 0.787071 | 0 |
Simple check to see if this cog (plugin) is enabled. | async def cog_check(self, ctx):
guild_doc = await db.PLUGINS.find_one({"_id": ctx.guild.id})
if guild_doc.get("Verification"):
return True
else:
await ctx.send(
embed=discord.Embed(
description=(
f"{var.E_DISABLE} The Verification plugin"
" is disabled in this server"
),
color=var.C_ORANGE
)
) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def is_enabled(self):\n return self.sdk.is_enabled",
"def is_enabled(self):",
"def __enabled__(component):\n registry = context.app.component_registry\n return (component.__module__ in registry.modules)",
"def is_on(self):\n return self._program.get(\"enabled\") is True",
"def e... | [
"0.69357497",
"0.6897424",
"0.685277",
"0.6834709",
"0.68308216",
"0.68143165",
"0.6804309",
"0.66417366",
"0.6623949",
"0.6623949",
"0.6623949",
"0.6623949",
"0.6623949",
"0.6623949",
"0.66176057",
"0.66100556",
"0.6593205",
"0.65567094",
"0.65470624",
"0.653174",
"0.6516565... | 0.6632713 | 8 |
Finds the token where the value is stored. | def _value_token_index(self):
# TODO: memoize this value
for i, token in enumerate(self.tokens):
if not token.type.is_metadata:
return i
raise RuntimeError('could not find a value token') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def match_value(self, token_type, token_value):\n if isinstance(self.cursor(), token_type) and self.cursor().token == token_value:\n token = self.cursor()\n self.pos += 1\n else:\n raise ParseError(\"Expected {!s}.\".format(token_value))\n return token",
"def... | [
"0.6786406",
"0.6442385",
"0.631681",
"0.61292017",
"0.60891455",
"0.60803986",
"0.5987252",
"0.5974573",
"0.5974573",
"0.59730595",
"0.5952903",
"0.5946502",
"0.59407806",
"0.5928285",
"0.5908328",
"0.5895346",
"0.5840744",
"0.5825658",
"0.58217704",
"0.58217704",
"0.5821770... | 0.6961675 | 0 |
Returns a Python value contained in this atomic element. | def value(self):
return toml2py.deserialize(self._tokens[self._value_token_index()]) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def getvalue(self):\n return BytesIO.getvalue(self)",
"def value(self):\n\n\t\treturn self.__value",
"def value(self):\n return self._read()",
"def value(self) -> Any:\n return self._value",
"def value(self):\n return self.__value",
"def value(self):\n return self.__val... | [
"0.75496817",
"0.7389974",
"0.7359954",
"0.7347043",
"0.733962",
"0.733962",
"0.7327104",
"0.7327104",
"0.7303945",
"0.7303945",
"0.7303945",
"0.7290579",
"0.7290579",
"0.7290579",
"0.7290579",
"0.7290579",
"0.7290579",
"0.7290579",
"0.7290579",
"0.7290579",
"0.7290579",
"0... | 0.68537635 | 87 |
Sets the contained value to the given one. | def set(self, value):
assert (not is_sequence_like(value)) and (not is_dict_like(value)), 'the value must be an atomic primitive'
token_index = self._value_token_index()
self._tokens[token_index] = py2toml.create_primitive_token(value) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_value(self, field, value):\n field = self.find_first(field)\n if field is not None:\n field.value = value",
"def assignValue(self,value):\n self.itemset(value)",
"def assignValue(self,value):\n self.itemset(value)",
"def set_value(self,x):\n self._value =... | [
"0.7084912",
"0.7043695",
"0.7043695",
"0.702026",
"0.702026",
"0.70160013",
"0.70115966",
"0.69155234",
"0.69025266",
"0.68340504",
"0.6826874",
"0.6826183",
"0.67819715",
"0.6768549",
"0.67635816",
"0.6759227",
"0.67537683",
"0.6748124",
"0.6729947",
"0.67173505",
"0.671735... | 0.0 | -1 |
>>> import shutil >>> import core.docprocessor >>> basepath = 'core/test_output' >>> f = open('core/test/cv_1.doc', 'r') >>> cv1 = core.docprocessor.Processor(f, 'cv_1.doc', basepath) >>> cv1.result True >>> ori = cv1.name >>> des = cv1.copy() >>> cv1.name == ori False >>> f.close() >>> shutil.rmtree(basepath) | def copy(self, des=None, name=None):
if des is None:
des = self.source_path
if name is None:
name = self.name
location = os.path.join(des, name)
while os.path.isfile(location) is True:
self.base.reset_random()
self.name = self.base.random
name = self.name
location = os.path.join(des, name)
with open(location, 'wb') as f:
f.write(self.stream)
return location | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def conditional_copy(asciitest_out_dir, doc_file):\n # path join uses backslash win32 which is not cmake compatible\n\n filename = save_cmake_filename(doc_file)\n\n filename1 = os.path.join(asciitest_out_dir, filename + \".temp\").replace(\"\\\\\",\"/\")\n filename2 = os.path.join(asciitest_out_dir, fi... | [
"0.58008",
"0.5709822",
"0.5659337",
"0.5595037",
"0.5574128",
"0.54875076",
"0.5483825",
"0.5405747",
"0.53936034",
"0.53486127",
"0.53021306",
"0.52604765",
"0.52571845",
"0.52143526",
"0.52143526",
"0.5193308",
"0.5167983",
"0.5155168",
"0.51270175",
"0.5124503",
"0.509708... | 0.47389197 | 49 |
>>> import os >>> import shutil >>> import core.docprocessor >>> import xml.etree.ElementTree >>> basepath = 'core/test_output' >>> f = open('core/test/cv_1.doc', 'r') >>> cv1 = core.docprocessor.Processor(f, 'cv_1.doc', basepath) >>> cv1.result True >>> e = xml.etree.ElementTree.parse(os.path.join( ... cv1.docbook_path, cv1.name.xml)).getroot() >>> e.findall('para')[0].text | def convert(self):
logger.info('Convert: %s' % self.base)
if self.mimetype in ['application/msword',
"application/vnd.openxmlformats-officedocument"
".wordprocessingml.document"]:
if 'multipart/related' in self.stream:
self.process_mht()
returncode = self.convert_docfile(self.docx_path, self.name.docx,
self.docbook_path, self.name.xml)
else:
returncode = self.convert_docfile(self.source_path, self.name,
self.docbook_path, self.name.xml)
if returncode is False:
returncode = self.convert_docfile(self.source_path, self.name,
self.docx_path, self.name.docx)
returncode = self.convert_docfile(self.docx_path, self.name.docx,
self.docbook_path, self.name.xml)
if not os.path.exists(os.path.join(
self.docbook_path, self.name.xml)):
logger.info('Not exists')
self.resultcode = 2
return False
if returncode is False:
self.resultcode = 3
return False
self.remove_note()
self.file_docbook_to_markdown()
logger.info(' '.join([self.base.base, self.name.base, 'Success']))
self.resultcode = 0
return True
else:
logger.info('Skip')
self.resultcode = 1
return False | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_docx_text(path):\n document = zipfile.ZipFile(path)\n xml_content = document.read('word/document.xml')\n document.close()\n tree = XML(xml_content)\n \n paragraphs = []\n for paragraph in tree.getiterator(PARA):\n texts = [node.text\n for node in paragraph.getiterat... | [
"0.58561695",
"0.57505774",
"0.57142305",
"0.56927013",
"0.5655105",
"0.55894864",
"0.5549124",
"0.54334044",
"0.5345397",
"0.5345397",
"0.5336243",
"0.5295321",
"0.52721536",
"0.52331185",
"0.52325106",
"0.5207037",
"0.5178504",
"0.51673114",
"0.5162166",
"0.51004875",
"0.50... | 0.0 | -1 |
>>> import shutil >>> import os.path >>> import core.docprocessor >>> basepath = 'core/test_output' >>> f = open('core/test/cv_1.doc', 'r') >>> cv1 = core.docprocessor.Processor(f, 'cv_1.doc', basepath) >>> cv1.result True >>> os.path.isfile(os.path.join(cv1.markdown_path, ... cv1.name.md)) True >>> cv1.deleteconvert() >>> os.path.isfile(os.path.join(cv1.markdown_path, ... cv1.name.md)) False >>> f.close() >>> shutil.rmtree(basepath) | def deleteconvert(self):
filename = os.path.join(self.docx_path, self.name.docx)
if os.path.isfile(filename):
os.remove(filename)
filename = os.path.join(self.html_path, self.name.html)
if os.path.isfile(filename):
os.remove(filename)
filename = os.path.join(self.docbook_path, self.name.xml)
if os.path.isfile(filename):
os.remove(filename)
filename = os.path.join(self.markdown_path, self.name.md)
if os.path.isfile(filename):
os.remove(filename) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def cleanup(asciitest_out_dir, doc_file):\n # path join uses backslash win32 which is not cmake compatible\n filename = os.path.join(asciitest_out_dir, save_cmake_filename(doc_file)).replace(\"\\\\\",\"/\")\n \n #print(\"cleanup %s %s\" % (doc_file, filename))\n try:\n os.remove(filename)\n ... | [
"0.65258646",
"0.63766783",
"0.62430525",
"0.6167361",
"0.5848033",
"0.57737476",
"0.5623585",
"0.5583894",
"0.5582149",
"0.5558321",
"0.5547012",
"0.55358094",
"0.553127",
"0.5530632",
"0.5524219",
"0.5511022",
"0.54836005",
"0.5472407",
"0.5460167",
"0.53966826",
"0.5396682... | 0.73595536 | 0 |
Read ascii file to get weather info | def read_weather(self):
print "Reading weather data from file",self.datafile
tab = ascii.read(self.datafile)
# Fix 'T' values in precipitation column, which represent tiny
# amounts of rain (not measurable)
TINY_VALUE = '.005' # 0.005 is half the smallest measurable value
rain = tab['PrecipitationIn']
wbad = (rain == 'T')
rain[wbad] = TINY_VALUE
rain = numpy.array(rain).astype("float")
# Replace string version of precip with float version
tab['PrecipIn'] = rain
tab.remove_column('PrecipitationIn')
self.table = tab | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _read_raw_temperature():\n with open(device_file, 'r') as f:\n content = f.readlines()\n return content",
"def read_ascii(file):\n wvlen, band, mag, emag, fmag, unit, beam, odate, ref = [],[],[],[],[],[],[],[],[]\n with open(file, 'r') as f_in:\n for line in f_in:\n try:\... | [
"0.6585251",
"0.65576595",
"0.6403347",
"0.60498667",
"0.59925395",
"0.59534574",
"0.59316444",
"0.58384484",
"0.5829025",
"0.5764885",
"0.57411146",
"0.571867",
"0.57075197",
"0.56858313",
"0.5685079",
"0.56707263",
"0.56707263",
"0.56704044",
"0.5669247",
"0.5663918",
"0.56... | 0.67925274 | 0 |
Get features (for regression) based on this bikedata's weather data | def get_weather_features(self):
if self.weather_features is None:
raise Exception("Weather features not made yet.")
### self.make_weather_features()
else:
return self.weather_features | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def feature_extraction(self) -> None:\n # Add the hour, minute, and x column to the data\n self.df_poly[\"hour\"] = self.df_poly[\"time\"].apply(lambda y: y.hour)\n self.df_poly[\"minute\"] = self.df_poly[\"time\"].apply(lambda y: y.minute)\n self.df_poly[\"x\"] = self.df_poly[\"hour\"]... | [
"0.65693516",
"0.6504419",
"0.63095343",
"0.6184907",
"0.6181109",
"0.61156017",
"0.6097132",
"0.60952747",
"0.60912675",
"0.6084227",
"0.6035357",
"0.59760165",
"0.5962229",
"0.5936362",
"0.5921777",
"0.59124935",
"0.59112424",
"0.58922076",
"0.58688956",
"0.58619624",
"0.58... | 0.7378489 | 0 |
Get features (for regression) based on the weather data | def make_weather_features(self, timeline_dt_list):
print "Making weather features..."
N_FEATURES = 2
n_examples = len(timeline_dt_list)
XX = numpy.zeros((n_examples, N_FEATURES))
indices = numpy.zeros(n_examples,dtype='int')
ind_weatherday = 0
# Loop over all times in the timeline
for ii, time in enumerate(timeline_dt_list):
# Find where this time in the timeline matches the date
# of some weather data.
jj = ind_weatherday
while time.date() != self.datetimes[jj].date():
# Make sure jj does not get too large to be an index to
# the list.
# Note this is probably a bad idea to do it this way.
if jj == len(self.datetimes)-1:
break
jj += 1
## print jj
ind_weatherday = jj
indices[ii] = ind_weatherday
# XX[ii, 0] = self.table['PrecipIn'][ind_weatherday]
# XX[ii, 1] = self.table['Mean TemperatureF'][ind_weatherday]
## XX[ii, 2] = self.table['MeanDew PointF'][ind_weatherday]
XX[:,0] = self.table['PrecipIn'][indices]
XX[:,1] = self.table['Mean TemperatureF'][indices]
self.weather_features = XX
return XX | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_weather_features(self):\n if self.weather_features is None:\n raise Exception(\"Weather features not made yet.\")\n### self.make_weather_features()\n else:\n return self.weather_features",
"def feature_extraction(self) -> None:\n # Add the hour, minut... | [
"0.7582345",
"0.6779436",
"0.6377024",
"0.6304283",
"0.6291205",
"0.62426645",
"0.62333375",
"0.61894417",
"0.6091039",
"0.6048604",
"0.6045246",
"0.6044608",
"0.60266703",
"0.5981941",
"0.59668094",
"0.5964047",
"0.5908457",
"0.5897442",
"0.5888104",
"0.5868746",
"0.5860874"... | 0.6208372 | 7 |
Loads pretrained pytorch model | def load_model(model_path: str) -> object:
model = torch.load(model_path)
model.eval()
return model | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_model(self):\n if self.ckpt_flag:\n LOG('Skip Loading Pre-trained Model......')\n else:\n if self.params.pre_trained_from is not None and os.path.exists(self.params.pre_trained_from):\n try:\n LOG('Loading Pre-trained Model at %s' % sel... | [
"0.82864565",
"0.8224309",
"0.81519234",
"0.7998859",
"0.7852287",
"0.7793966",
"0.7782619",
"0.7755613",
"0.7727618",
"0.7702701",
"0.767298",
"0.7656771",
"0.7558395",
"0.7558245",
"0.75549746",
"0.75289506",
"0.7481736",
"0.747583",
"0.743038",
"0.741285",
"0.74045056",
... | 0.7447873 | 18 |
Given image file predict and return class label | def inference_on_data(image) -> str:
result = inference_model(image)
class_label = torch.argmax(result[0])
# Print to log acts as a proxy of saving to an actual DB
print(f'Image Class : {class_label}')
return str(class_label) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def model_predict(img_path):\n img = open_image(img_path)\n pred_class, pred_idx, outputs = learn.predict(img)\n print(pred_class)\n return pred_class",
"def predict_car():\n img = open_image(request.files['image'])\n pred_class, pred_idx, outputs = learn.predict(img)\n return str(pred_class... | [
"0.8147907",
"0.8066166",
"0.7634904",
"0.7613867",
"0.7565054",
"0.75600857",
"0.7542438",
"0.74744403",
"0.7456327",
"0.74438494",
"0.7441574",
"0.73974526",
"0.73938596",
"0.73485583",
"0.73224735",
"0.7307081",
"0.7293566",
"0.72353786",
"0.72337973",
"0.7217787",
"0.7184... | 0.0 | -1 |
Publish response to kafka topic | def publish_response(class_label):
client = KProducer(config=publisher_config)
client.produce(class_label, PUBLISHER_TOPIC) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def publish(self, node, topic, data={}, on_publish=None, on_response=None):\n pass",
"def produce(self, response, regex, ts):\n self.logger.info(\"Producing message...\")\n\n payload = {\n \"url\": response.url,\n \"latency\": response.elapsed,\n \"status\": ... | [
"0.6920841",
"0.6638568",
"0.6578799",
"0.6561684",
"0.6525909",
"0.65240884",
"0.6514028",
"0.641655",
"0.62882924",
"0.627717",
"0.62517506",
"0.61733186",
"0.61410475",
"0.6117747",
"0.61167103",
"0.61138386",
"0.61064917",
"0.608827",
"0.6083523",
"0.6068794",
"0.60644025... | 0.7494711 | 0 |
Start Consuming data coming in as images from requesters | def enable_subscription():
client = KConsumer(config=subscriber_config)
counter = 0
while 1:
data = client.consume()
if data:
print("Received Data", counter)
class_label = inference_on_data(data.value)
publish_response(class_label) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __image_request_handler(self):\n self.__logger.info(\"Image Request Handling Thread started\")\n ticker = Ticker(2)\n while self._running:\n timeout = ticker.end_tick(False)\n try:\n task = self.__image_queue.get(True, timeout)\n except Queue... | [
"0.63510275",
"0.6212329",
"0.60436887",
"0.597931",
"0.593665",
"0.58673537",
"0.57487386",
"0.57463884",
"0.5703741",
"0.56677437",
"0.5652428",
"0.5626479",
"0.56006426",
"0.55784166",
"0.55780387",
"0.5559267",
"0.554615",
"0.5536241",
"0.5526545",
"0.55169946",
"0.549977... | 0.0 | -1 |
Serializer used by the Producer Service to send class_label to subscribers. class_label is generated by inferring on image using pretrained lenet | def kafka_serializer(data):
return json.dumps(data).encode('utf-8') | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def create_voc_label(is_training):\n voc_dir = config.voc_dir\n cls_map = {name: i for i, name in enumerate(config.coco_classes)}\n sub_dir = 'train' if is_training else 'eval'\n voc_dir = os.path.join(voc_dir, sub_dir)\n if not os.path.isdir(voc_dir):\n raise ValueError(f'Cannot find {sub_di... | [
"0.57493436",
"0.56853515",
"0.5624522",
"0.55395037",
"0.55254596",
"0.550018",
"0.54977113",
"0.5459444",
"0.54317695",
"0.5422993",
"0.54141396",
"0.5414098",
"0.54095036",
"0.5399831",
"0.53884953",
"0.53860307",
"0.5378658",
"0.5374597",
"0.5360391",
"0.5358538",
"0.5353... | 0.0 | -1 |
Deserializer used by the Consumer Service to parse images sent to the model | def kafka_deserializer(data):
return pickle.loads(data) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def deserialize(self, data):",
"def _post_deserialize (self):\n pass",
"def getDeserializer():",
"def deserialize(self, blob):\n pass",
"def deserialise_image(data):\n if \"data:image\" in data:\n data = data[data.find(\",\") + 1:]\n\n return Image.open(io.BytesIO(base64.urlsafe_... | [
"0.64817536",
"0.6376675",
"0.63246363",
"0.6318897",
"0.62756526",
"0.62049454",
"0.61352426",
"0.6036559",
"0.59855014",
"0.59849745",
"0.5978087",
"0.59708434",
"0.58874786",
"0.58653855",
"0.57746744",
"0.5726982",
"0.5700346",
"0.56928164",
"0.565674",
"0.5638816",
"0.56... | 0.0 | -1 |
return img from disk | def api_get_icon():
pkg_name = request.args.get('pkg')
if pkg_name:
pkg_files = Database().db.get_pkg_files(pkg_name)
for src in pkg_files:
if src.startswith("/usr/share/icons/hicolor/32x32/apps/"):
return send_file(src, as_attachment=False)
return send_file("static/images/null.gif")
else:
src = request.args.get('i')
if not os.path.isfile(src):
#abort(404)
return send_file("static/images/null.gif")
return send_file(src, as_attachment=False) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_image_from_file(path):\n try:\n img = Image.open(path)\n return img\n except IOError as e:\n print e\n return None",
"def read_image(path):\n img = misc.imread(path)\n return img",
"def get_image(image_path):\r\n\r\n return Image.open(image_path)",
"def getI... | [
"0.71957695",
"0.70855176",
"0.70432746",
"0.7038061",
"0.68815845",
"0.6864167",
"0.6857217",
"0.68482894",
"0.6821152",
"0.6813624",
"0.68091524",
"0.67426455",
"0.6739715",
"0.6640925",
"0.66380155",
"0.66144145",
"0.6573041",
"0.65571743",
"0.6553333",
"0.6547051",
"0.654... | 0.0 | -1 |
page list one repo | def get_repo(repo_id):
if repo_id == "orphans":
pkgs = Database().db.get_orphans()
else:
pkgs = Database().db.get_repo_pkgs(repo_id)
return render_template("repo.html",
title=" - "+repo_id,
repos=Database().db.get_repos_names(),
pkgs=pkgs,
repo=repo_id) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def list_repos_cli(api_client, path_prefix, next_page_token):\n content = ReposApi(api_client).list(path_prefix, next_page_token)\n click.echo(pretty_format(content))",
"def list_(ctx: click.Context, repository_path):\n root_commands.cmd_list(ctx.obj, repository_path)",
"def repos(request):\n # Clean... | [
"0.7262444",
"0.7217461",
"0.7216748",
"0.71565646",
"0.6850128",
"0.6780763",
"0.67550576",
"0.6684879",
"0.6644136",
"0.64276356",
"0.6412211",
"0.6325303",
"0.6321167",
"0.6286405",
"0.62793666",
"0.6230717",
"0.61821365",
"0.6155869",
"0.6142341",
"0.6085627",
"0.60169744... | 0.63984853 | 11 |
page list one repo | def get_pkg(pkg_name):
pkg = Database().db.get_pkg_details(pkg_name, "", False)
pkg = PackageDetail.surClass(pkg)
print('dir: ', dir(pkg))
#print('name:', pkg.nane)
#print('props.name:', pkg.props.nane)
return render_template("pkg.html",
title=" - "+pkg_name,
repos=Database().db.get_repos_names(),
pkg=pkg) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def list_repos_cli(api_client, path_prefix, next_page_token):\n content = ReposApi(api_client).list(path_prefix, next_page_token)\n click.echo(pretty_format(content))",
"def list_(ctx: click.Context, repository_path):\n root_commands.cmd_list(ctx.obj, repository_path)",
"def repos(request):\n # Clean... | [
"0.7262444",
"0.7217461",
"0.7216748",
"0.71565646",
"0.6850128",
"0.6780763",
"0.67550576",
"0.6684879",
"0.6644136",
"0.64276356",
"0.6412211",
"0.63984853",
"0.6325303",
"0.6321167",
"0.6286405",
"0.62793666",
"0.6230717",
"0.61821365",
"0.6155869",
"0.6142341",
"0.6085627... | 0.0 | -1 |
Returns an iterator of documents being read from disk. | def get_documents(self, batch=None):
files = None
if not batch:
# no batch = all the batches
files = self._get_batch_files()
elif batch == "random":
# get all the batches and pick one from random
batches = self._get_batches()
files = [ self._get_batch_file(batch=random.randint(1, len(batches))) ]
else:
# get the specified batch
files = [ self._get_batch_file(batch=batch) ]
# loop through all the batch files
for f in files:
with gzip.open(f, "rb") as infile:
for line in infile:
# parse the JSON for each line
yield json.loads(line) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def iter_documents(self):\n raise NotImplementedError",
"def __iter__(self):\n return self.iter_documents()",
"def iter_local_docs(docs_path, skip=0, stop=sys.maxsize):\n for i, line in enumerate(open(docs_path)):\n if i < skip:\n continue\n elif i < stop:\n ... | [
"0.7139281",
"0.66851294",
"0.6661767",
"0.6630697",
"0.661265",
"0.65598124",
"0.655498",
"0.6535111",
"0.64075583",
"0.6239595",
"0.6149933",
"0.61477643",
"0.61379325",
"0.6104141",
"0.6089389",
"0.6088322",
"0.60240936",
"0.60088474",
"0.5915154",
"0.5884814",
"0.58526784... | 0.61733896 | 10 |
Returns an interator of paragraphs being read from disk. | def get_paragraphs(self, batch=None):
# loop through the document stream for this document database
for document in self.get_documents(batch):
for paragraph in document["paragraphs"]:
# yield the paragraphs one by one
yield paragraph | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def readFile(self):\n with pdfplumber.open(self.path) as pdf:\n first_page = pdf.pages[0]\n text = first_page.extract_text()\n text = text.split('\\n')\n return processText(text)",
"def generate_paragraphs(self, count=3):\n\n with self.open_text_data() as... | [
"0.6528536",
"0.64675736",
"0.6323226",
"0.6145701",
"0.61151904",
"0.6101688",
"0.6096735",
"0.60733026",
"0.5850335",
"0.5826958",
"0.57282406",
"0.57275575",
"0.5669418",
"0.5661601",
"0.5554305",
"0.5551181",
"0.55444384",
"0.547488",
"0.5394992",
"0.53804976",
"0.5364042... | 0.5878271 | 8 |
Returns an interator of sentences being read from disk. | def get_sentences(self, batch=None):
# loop through the paragraph stream for this document database
for paragraph in self.get_paragraphs(batch):
# loop through the sentences
for sentence in paragraph["sentences"]:
# yield the individual tokens
yield sentence["tokens"] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_sentences(path):\n sentences = []\n sentence = []\n num = 0\n with codecs.open(path, 'r', 'utf8') as fread:\n # n_lines = len(fread)\n print(\"Read from {:s}\".format(path))\n # pbar = progressbar.ProgressBar(max_value=n_lines)\n for line_idx, line in enumerate(frea... | [
"0.691375",
"0.6559297",
"0.6529974",
"0.647818",
"0.64719594",
"0.6423339",
"0.6421859",
"0.640695",
"0.63902426",
"0.63782775",
"0.6366519",
"0.630013",
"0.62926716",
"0.61867374",
"0.6146142",
"0.60801035",
"0.60796994",
"0.6057292",
"0.60563534",
"0.605594",
"0.605538",
... | 0.5305037 | 78 |
Returns the ``BatchStats`` for a specific batch. | def get_batch_stats(self, batch):
return self.batch_stats[batch] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def build_batch_stats():\n\n # We use the moving mean as an estimate of the mean in order to perform\n # a more numerically stable calculation of the batch mean.\n # Copy for better stability.\n shift = tf.add(self._moving_mean, 0)\n counts, shifted_sum_x, shifted_sum_x2, _ = tf.nn.suffici... | [
"0.65609884",
"0.65114206",
"0.65014577",
"0.6211535",
"0.59668744",
"0.5954246",
"0.58340657",
"0.5821755",
"0.57448745",
"0.57334435",
"0.57184416",
"0.5670613",
"0.56242794",
"0.560072",
"0.55778915",
"0.5565209",
"0.55386823",
"0.5498818",
"0.54651314",
"0.5450578",
"0.54... | 0.89985496 | 0 |
Returns the number of batches in the current document inventory. | def num_batches(self):
return len(self.batch_stats) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def num_items(self):\n num_items = 0\n for line in self.lines.all():\n num_items += line.quantity\n return num_items",
"def count_records(batches: List[Batch]) -> int:\n return sum(b.current_size for b in batches)",
"def get_num_batches(self, instances: Iterable[Instance]... | [
"0.687607",
"0.6610767",
"0.657245",
"0.64142066",
"0.63633513",
"0.6283254",
"0.6276345",
"0.6246339",
"0.62053406",
"0.6200216",
"0.61746264",
"0.61746264",
"0.61746264",
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"0.6167673",
"0.61566156",
"0.6134254",
"0.6134254",
"0.61117995",
"0.6078967",
"0.606971... | 0.65176564 | 3 |
Convenience method that sums up all the sentences across all batches. | def get_total_sentences(self):
# loop through batches and add up all their individual sentence counts
total_sentences = 0
for batch in self.batch_stats:
total_sentences += self.batch_stats[batch].total_sentences
return total_sentences | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def calculate_texts(self) -> None:\n texts = []\n for text in self.texts:\n paragraphs = list(filter(lambda x: x != \"\", text.split(\"\\n\\n\")))\n for paragraph in paragraphs:\n text = paragraph.replace(\"\\n\", \" \").strip()\n if len(text) > sel... | [
"0.62009716",
"0.6035176",
"0.60308325",
"0.6027758",
"0.58148813",
"0.5691236",
"0.567909",
"0.5636329",
"0.562765",
"0.56133324",
"0.5553161",
"0.55471104",
"0.55366445",
"0.5535218",
"0.5534292",
"0.5531749",
"0.5505629",
"0.54945356",
"0.5477114",
"0.54692113",
"0.5455944... | 0.6880938 | 0 |
Adds ``documents`` to the document inventory, writing to disk in batches of 500,000. | def add_documents(self, documents):
# flag for StopIteration exceptions
more_documents = True
# loop while there are still documents in the iterator
while more_documents:
# increment batch number
batch = len(self.batch_stats) + 1
# count sentences
sentences_count = 0
# create temporary batch data file in the version directory
batch_file = os.path.join(self.file_base.get_version_path(self.version), "data.jl.gz.temp")
# try to read the next batch of files, catch exception and stop if there are no more
try:
# get next document before opening the file just to make sure it's there
document = documents.next()
# open the data file
with gzip.open(batch_file, "wb") as outfile:
# loop through DOCUMENT_BATCH_SIZE documents
for i in range(DocumentDatabase.DOCUMENT_BATCH_SIZE):
# count sentences in document
for paragraph in document["paragraphs"]:
sentences_count += len(paragraph["sentences"])
# write JSON to file one line at a time
outfile.write("%s\n" % json.dumps(document))
# if we are not done with this batch, retrieve the next document
if i < DocumentDatabase.DOCUMENT_BATCH_SIZE - 1:
document = documents.next()
except StopIteration:
# the end of the documents stream, set the flag to False
more_documents = False
# make sure the batch isn't empty
if sentences_count > 0:
# create the new batch in the file system
self.version_batches.create_latest_version()
# add the stats to the statistics hash
self.batch_stats[batch] = BatchStats(sentences_count)
# write the batch statistics to file
with codecs.open(self._get_batch_stat_file(batch), "wb", "utf-8") as outfile:
# write the JSON representation for the stats
outfile.write(json.dumps(self.batch_stats[batch].to_json()))
# move the temp data file to the correct location inside the version folder
os.rename(batch_file, self._get_batch_file(batch)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def store_documents(self, documents: list):\n requests = [\n {'PutRequest': {'Item': Item}} \n for Item in documents\n ]\n ticks = [d['symbol'] for d in documents]\n size = getsizeof(requests)\n exceptions = self.dynamo_client.exceptions\n errors = (e... | [
"0.74635196",
"0.68780833",
"0.6735508",
"0.66293705",
"0.65308714",
"0.64703435",
"0.6461322",
"0.6320846",
"0.6297765",
"0.6272216",
"0.61952156",
"0.618961",
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"0.6159434",
"0.61464745",
"0.6131274",
"0.6127692",
"0.60197544",
"0.60097003",
"0.6002732",
"0.59492... | 0.73529315 | 1 |
Loads a document database with the specified version from the directory. | def load(db_path="data/documents/trigrams", version=None):
# create database at the desired path and with the desired version
db = DocumentDatabase(db_path, version)
# loop through batches
for batch in db._get_batches():
# get the path to the stats file
stats_file = db._get_batch_stat_file(batch)
# load the stats
stats_json = json.loads(codecs.open(stats_file, "rb", "utf-8").read())
# save in the batch statistics hash
db.batch_stats[batch] = BatchStats(stats_json["total_sentences"])
# return the database
return db | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def load_or_create_db(self):\n try:\n with open(self._filename, 'rb') as f:\n self.db = pickle.load(f)\n except FileNotFoundError:\n pass",
"def load_DB(self):\n\t\tprint 'Loadind Data Base...'\n\t\tstream = open(self.DB_file)\n\t\tself.DB = cPickle.load(stream)... | [
"0.6015772",
"0.59988827",
"0.59276336",
"0.5849796",
"0.5840075",
"0.5790545",
"0.5701773",
"0.56872916",
"0.5661583",
"0.56539536",
"0.56524754",
"0.5596583",
"0.5581138",
"0.5557227",
"0.5549356",
"0.5532614",
"0.55302",
"0.5490099",
"0.54712546",
"0.5464255",
"0.5438158",... | 0.7193331 | 0 |
Returns the latest version of the documents inventory at the specified path. | def get_latest_version(db_path):
# create a file system and return latest version
return VersionedFile(db_path).get_latest_version() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def current_version(self):\n try:\n return self.versions.latest()\n except DocumentVersion.DoesNotExist:\n return None",
"async def get_local_version(self, path):\n return_value = ''\n if os.path.isfile(path):\n with open(path, 'r') as local:\n ... | [
"0.64565796",
"0.59338427",
"0.59115607",
"0.5859803",
"0.58483046",
"0.5716326",
"0.5692346",
"0.5668634",
"0.56481016",
"0.5610619",
"0.56099266",
"0.556473",
"0.5553882",
"0.55534357",
"0.5535717",
"0.55330545",
"0.55328286",
"0.5523551",
"0.547328",
"0.54688823",
"0.54657... | 0.67488974 | 0 |
Returns a JSON representation of ``BatchStats``. | def to_json(self):
return { "total_sentences": self.total_sentences } | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_batch_stats(self, batch):\n\t\t\n\t\treturn self.batch_stats[batch]",
"def stats_to_json(self):\n return json.dumps({'name': self.name,\n 'points': self.points,\n 'field_researchers': self.field_researchers,\n 'control_t... | [
"0.69310164",
"0.6797208",
"0.66209364",
"0.63575345",
"0.6177473",
"0.6155753",
"0.6147767",
"0.6138568",
"0.604386",
"0.60371757",
"0.6009655",
"0.59683806",
"0.5925637",
"0.5886954",
"0.588449",
"0.5846016",
"0.58390856",
"0.5832954",
"0.5819733",
"0.58175325",
"0.5811385"... | 0.5677763 | 27 |
A simple wrapper for scipy.optimize.minimize using JAX. | def minimize(fun,
x0,
method=None,
args=(),
bounds=None,
constraints=(),
tol=None,
callback=None,
options=None):
# Use tree flatten and unflatten to convert params x0 from PyTrees to flat arrays
x0_flat, unravel = ravel_pytree(x0)
# Wrap the objective function to consume flat _original_
# numpy arrays and produce scalar outputs.
def fun_wrapper(x_flat, *args):
x = unravel(x_flat)
loss_val = float(fun(x, *args))
return loss_val
# Wrap the gradient in a similar manner
jac = jit(grad(fun))
def jac_wrapper(x_flat, *args):
x = unravel(x_flat)
g_flat, _ = ravel_pytree(jac(x, *args))
og = onp.array(g_flat)
return og
# Wrap the callback to consume a pytree
def callback_wrapper(x_flat, *args):
if callback is not None:
x = unravel(x_flat)
return callback(x, *args)
# Minimize with scipy
results = scipy.optimize.minimize(fun_wrapper,
x0_flat,
args=args,
method=method,
jac=jac_wrapper,
callback=callback_wrapper,
bounds=bounds,
constraints=constraints,
tol=tol,
options=options)
# pack the output back into a PyTree
results["x"] = unravel(results["x"])
return results | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def minimize(fun: Callable[..., float],\n x0: np.ndarray,\n args: Tuple = (),\n method: Optional[str] = None,\n **kwargs) -> scipy.optimize.OptimizeResult:\n if method.lower() in OPTIMIZERS:\n optimizer = OPTIMIZERS[method.lower()]\n return optimizer... | [
"0.63569784",
"0.6333814",
"0.6261257",
"0.6101453",
"0.60971725",
"0.60695785",
"0.5995225",
"0.5894081",
"0.589276",
"0.5768566",
"0.5727531",
"0.57158124",
"0.57106614",
"0.57106614",
"0.56989694",
"0.56768656",
"0.56757146",
"0.5599489",
"0.5598426",
"0.55934316",
"0.5571... | 0.57981586 | 9 |
Ask bot to decide for you, Eg .decide hue, hue2, ... | async def decide(self, ctx, *, args: str):
await ctx.send(f":point_right: **{random.choice(args.split(','))}**") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def decide():",
"def handDecision(handIn):",
"def whats_my_color_handler(handler_input):\n # type: (HandlerInput) -> Response\n if color_slot_key in handler_input.attributes_manager.session_attributes:\n fav_color = handler_input.attributes_manager.session_attributes[\n color_slot_key]\... | [
"0.6226377",
"0.5935546",
"0.5760656",
"0.574801",
"0.5716039",
"0.56322324",
"0.561385",
"0.5553106",
"0.55161047",
"0.5512562",
"0.5495656",
"0.54472333",
"0.5444497",
"0.5443797",
"0.5440587",
"0.53947",
"0.5392457",
"0.5389444",
"0.53876394",
"0.5375197",
"0.5374281",
"... | 0.51799744 | 46 |
Leave L and b unchanged | def _buildMatrix(self, SparseMatrix, Ncells, MaxFaces, coeff):
return (0, 0) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def l_degenerate(self):\n self.tmp = self.right\n self.right = self.left",
"def le_inplace(a,b):",
"def l_un_degenerate(self):\n self.right = self.tmp",
"def lt_inplace(a,b):",
"def ge_inplace(a,b):",
"def restore(self):\n self.u = self.ub.copy()\n self.w = self.wb.copy... | [
"0.6592938",
"0.6592725",
"0.6477138",
"0.6335981",
"0.5866531",
"0.58485544",
"0.58470535",
"0.58193916",
"0.5793898",
"0.5778269",
"0.57440275",
"0.5707928",
"0.56628865",
"0.56374824",
"0.5598262",
"0.55937904",
"0.5581618",
"0.5562398",
"0.553753",
"0.5497139",
"0.5493476... | 0.0 | -1 |
Returns OAuth2 credentials if we have valid credentials in the session. This is a 'truthy' value. Return None if we don't have credentials, or if they have expired or are otherwise invalid. This is a 'falsy' value. | def valid_credentials():
if 'credentials' not in flask.session:
return None
credentials = client.OAuth2Credentials.from_json(
flask.session['credentials'])
if (credentials.invalid or
credentials.access_token_expired):
return None
return credentials | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def valid_credentials():\n if 'credentials' not in flask.session:\n return None\n\n credentials = client.OAuth2Credentials.from_json(\n flask.session['credentials'])\n\n if (credentials.invalid or credentials.access_token_expired):\n return None\n return credentials",
"def get_cr... | [
"0.8314805",
"0.67917407",
"0.66121364",
"0.6458647",
"0.644396",
"0.6412883",
"0.6292584",
"0.6262902",
"0.6216184",
"0.6159604",
"0.60996187",
"0.60749036",
"0.60712475",
"0.5996059",
"0.5910496",
"0.59005594",
"0.5890843",
"0.5890843",
"0.5890843",
"0.5890843",
"0.5890843"... | 0.83706456 | 1 |
We need a Google calendar 'service' object to obtain list of calendars, busy times, etc. This requires authorization. If authorization is already in effect, we'll just return with the authorization. Otherwise, control flow will be interrupted by authorization, and we'll end up redirected back to /choose without a service object. Then the second call will succeed without additional authorization. | def get_gcal_service(credentials):
app.logger.debug("Entering get_gcal_service")
http_auth = credentials.authorize(httplib2.Http())
service = discovery.build('calendar', 'v3', http=http_auth)
app.logger.debug("Returning service")
return service | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def authenticate_google():\n creds = None\n # The file token.pickle stores the user's access and refresh tokens, and is\n # created automatically when the authorization flow completes for the first\n # time.\n if os.path.exists('token.pickle'):\n with open('token.pickle', 'rb') as token:\n ... | [
"0.6547268",
"0.64876544",
"0.62233627",
"0.61843467",
"0.614813",
"0.6039895",
"0.5898657",
"0.5767838",
"0.5764027",
"0.5762848",
"0.5696502",
"0.5657998",
"0.5613315",
"0.5523032",
"0.54875094",
"0.5481039",
"0.5432056",
"0.5416046",
"0.540904",
"0.5369274",
"0.5323026",
... | 0.631776 | 3 |
The 'flow' has this one place to call back to. We'll enter here more than once as steps in the flow are completed, and need to keep track of how far we've gotten. The first time we'll do the first step, the second time we'll skip the first step and do the second, and so on. | def oauth2callback():
app.logger.debug("Entering oauth2callback")
flow = client.flow_from_clientsecrets(
CLIENT_SECRET_FILE,
scope= SCOPES,
redirect_uri=flask.url_for('oauth2callback', _external=True))
## Note we are *not* redirecting above. We are noting *where*
## we will redirect to, which is this function.
## The *second* time we enter here, it's a callback
## with 'code' set in the URL parameter. If we don't
## see that, it must be the first time through, so we
## need to do step 1.
app.logger.debug("Got flow")
if 'code' not in flask.request.args:
app.logger.debug("Code not in flask.request.args")
auth_uri = flow.step1_get_authorize_url()
return flask.redirect(auth_uri)
## This will redirect back here, but the second time through
## we'll have the 'code' parameter set
else:
## It's the second time through ... we can tell because
## we got the 'code' argument in the URL.
app.logger.debug("Code was in flask.request.args")
auth_code = flask.request.args.get('code')
credentials = flow.step2_exchange(auth_code)
flask.session['credentials'] = credentials.to_json()
## Now I can build the service and execute the query,
## but for the moment I'll just log it and go back to
## the main screen
app.logger.debug("Got credentials")
return flask.redirect(flask.url_for('choose')) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def do_step(self) -> None:",
"def next_step(self):\n self.proceed()\n self.execute_current()",
"def _step(self) -> None:",
"def step_forward(self):",
"def _step(self):\n pass",
"def step(self):\n\n pass",
"def _step(self, whence):\n pass",
"def getCurrentStep():",
... | [
"0.74529886",
"0.74457574",
"0.7440825",
"0.73785466",
"0.7311282",
"0.70527315",
"0.7038946",
"0.68671244",
"0.6764548",
"0.67290527",
"0.66969025",
"0.6665891",
"0.6658122",
"0.6636712",
"0.6608603",
"0.66074103",
"0.6606269",
"0.6533289",
"0.6533289",
"0.6533289",
"0.64716... | 0.0 | -1 |
User chose a date range with the bootstrap daterange widget. | def setrange():
app.logger.debug("Entering setrange")
flask.flash("Setrange gave us '{}'".format(
request.form.get('daterange')))
daterange = request.form.get('daterange')
flask.session['daterange'] = daterange
daterange_parts = daterange.split()
flask.session['begin_date'] = interpret_date(daterange_parts[0])
flask.session['end_date'] = interpret_date(daterange_parts[2])
app.logger.debug("Setrange parsed {} - {} dates as {} - {}".format(
daterange_parts[0], daterange_parts[1],
flask.session['begin_date'], flask.session['end_date']))
return flask.redirect(flask.url_for("choose")) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def set_date_range(self, range):\n\n date_range_string = \"{0} to {1}\".format(\n self.fmt_date(range.start_date), self.fmt_date(range.end_date)\n )\n log.info(\"Specifying a date range of: {0}\".format(date_range_string))\n\n # Enter the specified date range\n selecto... | [
"0.7240307",
"0.708021",
"0.6923517",
"0.66862506",
"0.64068097",
"0.6244564",
"0.6082898",
"0.6051793",
"0.5973784",
"0.5954892",
"0.5869089",
"0.57650083",
"0.5739868",
"0.57391983",
"0.5736123",
"0.57263255",
"0.571437",
"0.57027483",
"0.56858015",
"0.5682606",
"0.5677092"... | 0.67631936 | 3 |
Start with some reasonable defaults for date and time ranges. Note this must be run in app context ... can't call from main. | def init_session_values():
# Default date span = tomorrow to 1 week from now
now = arrow.now('local') # We really should be using tz from browser
tomorrow = now.replace(days=+1)
nextweek = now.replace(days=+7)
flask.session["begin_date"] = tomorrow.floor('day').isoformat()
flask.session["end_date"] = nextweek.ceil('day').isoformat()
flask.session["daterange"] = "{} - {}".format(
tomorrow.format("MM/DD/YYYY"),
nextweek.format("MM/DD/YYYY"))
# Default time span each day, 8 to 5
flask.session["begin_time"] = interpret_time("9am")
flask.session["end_time"] = interpret_time("5pm") | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def ConfigureDefaults(area_bounds=None, \n area_bounds_format=['x_min','y_min','x_max','y_max'], \n area_bounds_range=None, years_are_bounds=False,\n dates_are_bounds=False, init_date_str_format='%y%m%d',\n member_name='rea... | [
"0.6126687",
"0.6049868",
"0.5839494",
"0.57524276",
"0.5737345",
"0.57099867",
"0.5672743",
"0.5655215",
"0.560356",
"0.5569601",
"0.55678964",
"0.55200195",
"0.55126786",
"0.549733",
"0.54575974",
"0.540262",
"0.5393907",
"0.5381829",
"0.5373057",
"0.53664577",
"0.5354388",... | 0.5581906 | 9 |
Read time in a humancompatible format and interpret as ISO format with local timezone. May throw exception if time can't be interpreted. In that case it will also flash a message explaining accepted formats. | def interpret_time( text ):
app.logger.debug("Decoding time '{}'".format(text))
time_formats = ["ha", "h:mma", "h:mm a", "H:mm"]
try:
as_arrow = arrow.get(text, time_formats).replace(tzinfo=tz.tzlocal())
as_arrow = as_arrow.replace(year=2016) #HACK see below
app.logger.debug("Succeeded interpreting time")
except:
app.logger.debug("Failed to interpret time")
flask.flash("Time '{}' didn't match accepted formats 13:30 or 1:30pm"
.format(text))
raise
return as_arrow.isoformat()
#HACK #Workaround
# isoformat() on raspberry Pi does not work for some dates
# far from now. It will fail with an overflow from time stamp out
# of range while checking for daylight savings time. Workaround is
# to force the date-time combination into the year 2016, which seems to
# get the timestamp into a reasonable range. This workaround should be
# removed when Arrow or Dateutil.tz is fixed.
# FIXME: Remove the workaround when arrow is fixed (but only after testing
# on raspberry Pi --- failure is likely due to 32-bit integers on that platform) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def interpret_time(text):\n app.logger.debug(\"Decoding time '{}'\".format(text))\n time_formats = [\"ha\", \"h:mma\", \"h:mm a\", \"H:mm\"]\n try:\n as_arrow = arrow.get(text, time_formats).replace(tzinfo=tz.tzlocal())\n as_arrow = as_arrow.replace(year=2016) # HACK see below\n app... | [
"0.67903686",
"0.66916007",
"0.6613034",
"0.6586266",
"0.6439515",
"0.64221704",
"0.6381868",
"0.6360631",
"0.63137174",
"0.6284302",
"0.62411284",
"0.62141776",
"0.61804426",
"0.61793673",
"0.6178851",
"0.6156706",
"0.61117786",
"0.6111385",
"0.6104648",
"0.6101974",
"0.6100... | 0.6865028 | 0 |
Convert text of date to ISO format used internally, with the local time zone. | def interpret_date( text ):
try:
as_arrow = arrow.get(text, "MM/DD/YYYY").replace(
tzinfo=tz.tzlocal())
except:
flask.flash("Date '{}' didn't fit expected format 12/31/2001")
raise
return as_arrow.isoformat() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def date_to_iso(string):\r\n\r\n # disregard tokenisation, if it's there, to make this an easier conversion for GUTime\r\n string = re.sub(r'<([^~]*)~.+?>', r'\\1 ', string)\r\n\r\n # Defaults\r\n d = None\r\n m = None\r\n y = None\r\n h = None\r\n min = None\r\n s = None\r\n fs = Non... | [
"0.6905238",
"0.65572876",
"0.6553589",
"0.64506024",
"0.64370036",
"0.6369056",
"0.6347456",
"0.62363726",
"0.6200606",
"0.6184233",
"0.6160375",
"0.6148745",
"0.61423504",
"0.6141841",
"0.6125747",
"0.60974556",
"0.606667",
"0.60619223",
"0.6043991",
"0.60352457",
"0.603524... | 0.6582443 | 1 |
ISO date + 1 day (used in query to Google calendar) | def next_day(isotext):
as_arrow = arrow.get(isotext)
return as_arrow.replace(days=+1).isoformat() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def iso_date(self):\n return self.strftime(self.FORMAT_PRECISION_DAY)",
"def get_date():\n return (datetime.now() - TIMEDELTA).isoformat()",
"def convertSODate(datenum):\n #Date numbers seem to start with 0 = 2001-01-01\n base_date = datetime.date(2001, 1, 1)\n #add key from the spot on obje... | [
"0.6720962",
"0.6390619",
"0.6365043",
"0.62321824",
"0.62134486",
"0.6139947",
"0.61357707",
"0.6097243",
"0.60584015",
"0.60497934",
"0.6018173",
"0.60177577",
"0.6013842",
"0.6012742",
"0.5981008",
"0.5978285",
"0.59668523",
"0.59668523",
"0.59668523",
"0.59668523",
"0.595... | 0.5598111 | 68 |
Given a google 'service' object, return a list of calendars. Each calendar is represented by a dict. The returned list is sorted to have the primary calendar first, and selected (that is, displayed in Google Calendars web app) calendars before unselected calendars. | def list_calendars(service):
app.logger.debug("Entering list_calendars")
calendar_list = service.calendarList().list().execute()["items"]
result = [ ]
for cal in calendar_list:
kind = cal["kind"]
id = cal["id"]
if "description" in cal:
desc = cal["description"]
else:
desc = "(no description)"
summary = cal["summary"]
# Optional binary attributes with False as default
selected = ("selected" in cal) and cal["selected"]
primary = ("primary" in cal) and cal["primary"]
result.append(
{ "kind": kind,
"id": id,
"summary": summary,
"selected": selected,
"primary": primary
})
return sorted(result, key=cal_sort_key) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def list_calendars(service):\n app.logger.debug(\"Entering list_calendars with service\")\n calendar_list = service.calendarList().list().execute()[\"items\"]\n app.logger.debug(\"Got calendar list\")\n result = []\n for cal in calendar_list:\n kind = cal[\"kind\"]\n id = cal[\"id\"]\n... | [
"0.82477534",
"0.6850524",
"0.6471131",
"0.63463163",
"0.63463163",
"0.63192886",
"0.62622386",
"0.6232313",
"0.61395335",
"0.61257684",
"0.6111868",
"0.61005104",
"0.603974",
"0.59506303",
"0.5812229",
"0.5798276",
"0.56924987",
"0.5668386",
"0.5658008",
"0.55682445",
"0.553... | 0.8079838 | 1 |
A helper method that generates a dictionary of arguments needed to instantiate a BaseBoto object. The purpose of this method is to abstract out the code to handle optional CLI arguments and not duplicate the None handling code. | def __get_arguments(args=None, logger=None, stats=None):
if not args:
parser = get_parser()
add_boto_cli_arguments(parser)
# Parse only the known arguments added by add_boto_cli_arguments().
# We only need those arguments to create Boto object, nothing else.
# parse_known_args() return (Namespace, list of unknown arguments),
# we only care about the Namespace object here.
args = parser.parse_known_args()[0]
if not logger:
logger = get_logger(name=NAME)
if not stats:
stats = get_stats(prefix=NAME)
return {
'log_level': getattr(args, 'boto_log_level', DEFAULT['log_level']()),
'access_key': getattr(args, 'boto_access_key', DEFAULT['access_key']()),
'secret_key': getattr(args, 'boto_secret_key', DEFAULT['secret_key']()),
'region': getattr(args, 'boto_region', DEFAULT['region']()),
'logger': logger,
'stats': stats,
} | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_argdict(cls, toolchain, args):\n return {} # Empty must be overloaded (if required)",
"def GetArgs():\n \n UserArgs = {}\n UserArgs['help'] = False\n UserArgs['RsodFileName'] = \"\"\n UserArgs['BiosPathX64'] = \"\"\n\n for i in range(1,len(sys.argv)):\n if sys.argv[i].lo... | [
"0.64982295",
"0.6270005",
"0.60605526",
"0.6001975",
"0.5956914",
"0.5867535",
"0.586068",
"0.5848655",
"0.58337194",
"0.57882416",
"0.5759382",
"0.57521",
"0.5736829",
"0.57335955",
"0.572861",
"0.571756",
"0.5702735",
"0.5665511",
"0.5653056",
"0.5628118",
"0.5623889",
"... | 0.7327621 | 0 |
Return a usable Boto object without creating a class around it. In the context of a krux.cli (or similar) interface the 'args', 'logger' and 'stats' objects should already be present. If you don't have them, however, we'll attempt to provide usable ones for the boto setup. (If you omit the add_boto_cli_arguments() call during other cli setup, the Boto object will still work, but its cli options won't show up in help output) | def get_boto(args=None, logger=None, stats=None):
return Boto(**__get_arguments(args, logger, stats)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_boto3(args=None, logger=None, stats=None):\n return Boto3(**__get_arguments(args, logger, stats))",
"def __get_arguments(args=None, logger=None, stats=None):\n\n if not args:\n parser = get_parser()\n add_boto_cli_arguments(parser)\n # Parse only the known arguments added by ad... | [
"0.7120333",
"0.6446755",
"0.53901947",
"0.53732514",
"0.5315737",
"0.5265874",
"0.5252197",
"0.522644",
"0.5211605",
"0.521066",
"0.5205573",
"0.51422757",
"0.5054793",
"0.5037921",
"0.5032993",
"0.50301266",
"0.49558958",
"0.49513885",
"0.49364442",
"0.491438",
"0.49119216"... | 0.81121886 | 0 |
Return a usable Boto3 object without creating a class around it. In the context of a krux.cli (or similar) interface the 'args', 'logger' and 'stats' objects should already be present. If you don't have them, however, we'll attempt to provide usable ones for the boto setup. (If you omit the add_boto_cli_arguments() call during other cli setup, the Boto object will still work, but its cli options won't show up in help output) | def get_boto3(args=None, logger=None, stats=None):
return Boto3(**__get_arguments(args, logger, stats)) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def get_boto(args=None, logger=None, stats=None):\n return Boto(**__get_arguments(args, logger, stats))",
"def __get_arguments(args=None, logger=None, stats=None):\n\n if not args:\n parser = get_parser()\n add_boto_cli_arguments(parser)\n # Parse only the known arguments added by add_... | [
"0.767378",
"0.62587637",
"0.5730653",
"0.5656308",
"0.5650132",
"0.5583414",
"0.5518301",
"0.5486912",
"0.5486354",
"0.5425678",
"0.54201967",
"0.541126",
"0.5337484",
"0.5296419",
"0.5290054",
"0.52891475",
"0.52808595",
"0.5232185",
"0.52223915",
"0.5181535",
"0.5169401",
... | 0.81879747 | 0 |
Proxies calls to ``boto.`` methods. | def __getattr__(self, attr):
# This way, we don't have to write: rv = Boto().boto.some_call
# But can just write: rv = Boto().some_call
# This also gives us hooks for future logging/timers/etc and
# extended wrapping of things the attributes return if we so
# choose.
self._logger.debug('Calling wrapped boto attribute: %s on %s', attr, self)
attr = getattr(self._boto, attr)
if callable(attr):
self._logger.debug("Boto attribute '%s' is callable", attr)
@wraps(attr)
def wrapper(*args, **kwargs):
return attr(*args, **kwargs)
return wrapper
return attr | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def monkey_patch_botocore_for_xray():\n wrapt.wrap_function_wrapper(\n \"botocore.client\", \"BaseClient._make_api_call\", xray_botocore_api_call,\n )",
"def xray_botocore_api_call(wrapped, instance, args, kwargs):\n return generic_xray_wrapper(\n wrapped,\n instance,\n args,... | [
"0.6867628",
"0.6424001",
"0.55805993",
"0.5508542",
"0.5488377",
"0.5417456",
"0.53769153",
"0.534277",
"0.5236493",
"0.5206002",
"0.5194725",
"0.51764464",
"0.5175369",
"0.51672405",
"0.5091889",
"0.5048222",
"0.50451034",
"0.5020509",
"0.5010022",
"0.49961105",
"0.49813974... | 0.6325436 | 2 |
Gets all AWS regions that Krux can access | def get_valid_regions(self):
pass | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_available_regions():\n session = boto3.session.Session()\n\n return session.get_available_regions(service_name='s3')",
"def get_regions(ec2_client=None):\n if not ec2_client:\n ec2_client = boto3.client('ec2')\n resp = ec2_client.describe_regions()\n return [region['RegionName'] fo... | [
"0.8312565",
"0.779635",
"0.77942985",
"0.77942985",
"0.7289586",
"0.728351",
"0.7272279",
"0.71950173",
"0.7140144",
"0.70876795",
"0.69920516",
"0.6973136",
"0.692615",
"0.6878461",
"0.6822473",
"0.6779286",
"0.6745307",
"0.67410904",
"0.6683353",
"0.664014",
"0.6598619",
... | 0.65673536 | 24 |
Gets all AWS regions that Krux can access | def get_valid_regions(self):
conn = self._boto.ec2.connect_to_region(self.cli_region)
regions = []
for region in conn.get_all_regions():
if getattr(RegionCode.Region, region.name, None) is not None:
regions.append(RegionCode.Region[region.name])
else:
regions.append(region.name)
return regions | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_available_regions():\n session = boto3.session.Session()\n\n return session.get_available_regions(service_name='s3')",
"def get_regions(ec2_client=None):\n if not ec2_client:\n ec2_client = boto3.client('ec2')\n resp = ec2_client.describe_regions()\n return [region['RegionName'] fo... | [
"0.8312565",
"0.779635",
"0.77942985",
"0.77942985",
"0.728351",
"0.7272279",
"0.71950173",
"0.7140144",
"0.70876795",
"0.69920516",
"0.6973136",
"0.692615",
"0.6878461",
"0.6822473",
"0.6779286",
"0.6745307",
"0.67410904",
"0.6683353",
"0.664014",
"0.6598619",
"0.65845656",
... | 0.7289586 | 4 |
Gets all AWS regions that Krux can access | def get_valid_regions(self):
client = self._boto.client('ec2')
regions = []
for region in client.describe_regions().get('Regions', []):
if getattr(RegionCode.Region, region.get('RegionName'), None) is not None:
regions.append(RegionCode.Region[region.get('RegionName')])
else:
regions.append(region.get('RegionName'))
return regions | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def _get_available_regions():\n session = boto3.session.Session()\n\n return session.get_available_regions(service_name='s3')",
"def get_regions(ec2_client=None):\n if not ec2_client:\n ec2_client = boto3.client('ec2')\n resp = ec2_client.describe_regions()\n return [region['RegionName'] fo... | [
"0.8312565",
"0.779635",
"0.77942985",
"0.77942985",
"0.7289586",
"0.7272279",
"0.71950173",
"0.7140144",
"0.70876795",
"0.69920516",
"0.6973136",
"0.692615",
"0.6878461",
"0.6822473",
"0.6779286",
"0.6745307",
"0.67410904",
"0.6683353",
"0.664014",
"0.6598619",
"0.65845656",... | 0.728351 | 5 |
Initializes a read operation from Debezium. | def __init__(
self,
connector_class,
username,
password,
host,
port,
max_number_of_records=None,
connection_properties=None,
expansion_service=None):
self.params = ReadFromDebeziumSchema(
connector_class=connector_class.value,
username=username,
password=password,
host=host,
port=port,
max_number_of_records=max_number_of_records,
connection_properties=connection_properties)
self.expansion_service = expansion_service or default_io_expansion_service() | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def __init__(self):\n\n self.reader = reader.Reader()",
"def read(self):\n pass",
"def read(self):",
"def read(self):\n raise NotImplementedError",
"def read():\n # TODO",
"def read(self):\n pass",
"def read(self, **kwargs):\n pass",
"def _read_data(self):",
"def r... | [
"0.6265758",
"0.6161929",
"0.6149388",
"0.60283214",
"0.5988332",
"0.5961205",
"0.5949067",
"0.59235144",
"0.5830563",
"0.575123",
"0.5719261",
"0.5699496",
"0.5671507",
"0.5631414",
"0.56239974",
"0.5621243",
"0.5612608",
"0.56093657",
"0.5547174",
"0.5521234",
"0.55149037",... | 0.0 | -1 |
Extract plastic class label from Image Name and return it | def ExtractLabel(ImgName):
# Each img has name notation "*****a0X*" where X is PlasticType
PlasticType = ImgName[7]
return {
'1': 0, # PET
'2': 1, # HDPE
'4': 2, # LDPE
'5': 3, # PP
'6': 4, # PS
'7': 5, # Other
}[PlasticType] | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def name_to_label(self, name):\n\t\t\treturn self.classes[name]",
"def name_to_label(self, name):\n\t\treturn self.classes[name]",
"def get_imagenet_label(index):\n global _CLASS_INDEX\n if _CLASS_INDEX is None:\n with open(os.path.join(os.path.dirname(__file__), '../resources/imagenet_class_index... | [
"0.6750595",
"0.67307",
"0.6638844",
"0.6555292",
"0.6546279",
"0.65367347",
"0.64170223",
"0.6413202",
"0.6403757",
"0.6369213",
"0.63066596",
"0.6250891",
"0.6241231",
"0.6123709",
"0.6118442",
"0.61034334",
"0.60980034",
"0.6039952",
"0.6016841",
"0.60058093",
"0.5924414",... | 0.7817808 | 0 |
Specify where files in our default root are uploaded. | def upload_location(instance, filename):
new_id = randint(0, 1000)
return "%s/%s" % (new_id, filename) | {
"objective": {
"self": [],
"paired": [],
"triplet": [
[
"query",
"document",
"negatives"
]
]
}
} | [
"def upload_dir(self):\n return os.path.join(settings.MEDIA_ROOT,self.upload_dir_rel())",
"def public_upload_dir(self):\n return os.path.join(settings.MEDIA_ROOT,\n self.public_upload_dir_rel())",
"def upload_dir_rel(self):\n return os.path.join(self.short_name,\"... | [
"0.6755884",
"0.67076856",
"0.6568125",
"0.6368969",
"0.62236637",
"0.61067545",
"0.6066317",
"0.6020004",
"0.5959959",
"0.59437656",
"0.5911991",
"0.58240676",
"0.5714736",
"0.57077825",
"0.5693331",
"0.5683937",
"0.5659573",
"0.5636132",
"0.56256604",
"0.56158495",
"0.56020... | 0.0 | -1 |
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