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mrcagney/gtfstk | gtfstk/feed.py | Feed.trips | def trips(self, val):
"""
Update ``self._trips_i`` if ``self.trips`` changes.
"""
self._trips = val
if val is not None and not val.empty:
self._trips_i = self._trips.set_index("trip_id")
else:
self._trips_i = None | python | def trips(self, val):
"""
Update ``self._trips_i`` if ``self.trips`` changes.
"""
self._trips = val
if val is not None and not val.empty:
self._trips_i = self._trips.set_index("trip_id")
else:
self._trips_i = None | [
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mrcagney/gtfstk | gtfstk/feed.py | Feed.calendar | def calendar(self, val):
"""
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"""
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self._calendar_i = self._calendar.set_index("service_id")
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self._calendar_i = None | python | def calendar(self, val):
"""
Update ``self._calendar_i``if ``self.calendar`` changes.
"""
self._calendar = val
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self._calendar_i = self._calendar.set_index("service_id")
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self._calendar_i = None | [
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mrcagney/gtfstk | gtfstk/feed.py | Feed.calendar_dates | def calendar_dates(self, val):
"""
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"""
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self._calendar_dates_g = self._calendar_dates.groupby(
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"""
Update ``self._calendar_dates_g``
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"""
self._calendar_dates = val
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self._calendar_dates_g = self._calendar_dates.groupby(
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mrcagney/gtfstk | gtfstk/feed.py | Feed.copy | def copy(self) -> "Feed":
"""
Return a copy of this feed, that is, a feed with all the same
attributes.
"""
other = Feed(dist_units=self.dist_units)
for key in set(cs.FEED_ATTRS) - set(["dist_units"]):
value = getattr(self, key)
if isinstance(value... | python | def copy(self) -> "Feed":
"""
Return a copy of this feed, that is, a feed with all the same
attributes.
"""
other = Feed(dist_units=self.dist_units)
for key in set(cs.FEED_ATTRS) - set(["dist_units"]):
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if isinstance(value... | [
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5monkeys/djedi-cms | djedi/backends/django/cache/backend.py | DjangoCacheBackend._encode_content | def _encode_content(self, uri, content):
"""
Join node uri and content as string and convert to bytes to ensure no pickling in memcached.
"""
if content is None:
content = self.NONE
return smart_str('|'.join([six.text_type(uri), content])) | python | def _encode_content(self, uri, content):
"""
Join node uri and content as string and convert to bytes to ensure no pickling in memcached.
"""
if content is None:
content = self.NONE
return smart_str('|'.join([six.text_type(uri), content])) | [
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5monkeys/djedi-cms | djedi/backends/django/cache/backend.py | DjangoCacheBackend._decode_content | def _decode_content(self, content):
"""
Split node string to uri and content and convert back to unicode.
"""
content = smart_unicode(content)
uri, _, content = content.partition(u'|')
if content == self.NONE:
content = None
return uri or None, content | python | def _decode_content(self, content):
"""
Split node string to uri and content and convert back to unicode.
"""
content = smart_unicode(content)
uri, _, content = content.partition(u'|')
if content == self.NONE:
content = None
return uri or None, content | [
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5monkeys/djedi-cms | djedi/templatetags/djedi_tags.py | render_node | def render_node(node, context=None, edit=True):
"""
Render node as html for templates, with edit tagging.
"""
output = node.render(**context or {}) or u''
if edit:
return u'<span data-i18n="{0}">{1}</span>'.format(node.uri.clone(scheme=None, ext=None, version=None), output)
else:
... | python | def render_node(node, context=None, edit=True):
"""
Render node as html for templates, with edit tagging.
"""
output = node.render(**context or {}) or u''
if edit:
return u'<span data-i18n="{0}">{1}</span>'.format(node.uri.clone(scheme=None, ext=None, version=None), output)
else:
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5monkeys/djedi-cms | djedi/admin/api.py | APIView.get_post_data | def get_post_data(self, request):
"""
Collect and merge post parameters with multipart files.
"""
params = dict(request.POST)
params.update(request.FILES)
data = defaultdict(dict)
# Split data and meta parameters
for param in sorted(params.keys()):
... | python | def get_post_data(self, request):
"""
Collect and merge post parameters with multipart files.
"""
params = dict(request.POST)
params.update(request.FILES)
data = defaultdict(dict)
# Split data and meta parameters
for param in sorted(params.keys()):
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5monkeys/djedi-cms | djedi/admin/api.py | NodeApi.get | def get(self, request, uri):
"""
Return published node or specified version.
JSON Response:
{uri: x, content: y}
"""
uri = self.decode_uri(uri)
node = cio.get(uri, lazy=False)
if node.content is None:
raise Http404
return self.re... | python | def get(self, request, uri):
"""
Return published node or specified version.
JSON Response:
{uri: x, content: y}
"""
uri = self.decode_uri(uri)
node = cio.get(uri, lazy=False)
if node.content is None:
raise Http404
return self.re... | [
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5monkeys/djedi-cms | djedi/admin/api.py | NodeApi.post | def post(self, request, uri):
"""
Set node data for uri, return rendered content.
JSON Response:
{uri: x, content: y}
"""
uri = self.decode_uri(uri)
data, meta = self.get_post_data(request)
meta['author'] = auth.get_username(request)
node = ci... | python | def post(self, request, uri):
"""
Set node data for uri, return rendered content.
JSON Response:
{uri: x, content: y}
"""
uri = self.decode_uri(uri)
data, meta = self.get_post_data(request)
meta['author'] = auth.get_username(request)
node = ci... | [
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5monkeys/djedi-cms | djedi/admin/api.py | NodeApi.delete | def delete(self, request, uri):
"""
Delete versioned uri and return empty text response on success.
"""
uri = self.decode_uri(uri)
uris = cio.delete(uri)
if uri not in uris:
raise Http404
return self.render_to_response() | python | def delete(self, request, uri):
"""
Delete versioned uri and return empty text response on success.
"""
uri = self.decode_uri(uri)
uris = cio.delete(uri)
if uri not in uris:
raise Http404
return self.render_to_response() | [
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5monkeys/djedi-cms | djedi/admin/api.py | PublishApi.put | def put(self, request, uri):
"""
Publish versioned uri.
JSON Response:
{uri: x, content: y}
"""
uri = self.decode_uri(uri)
node = cio.publish(uri)
if not node:
raise Http404
return self.render_to_json(node) | python | def put(self, request, uri):
"""
Publish versioned uri.
JSON Response:
{uri: x, content: y}
"""
uri = self.decode_uri(uri)
node = cio.publish(uri)
if not node:
raise Http404
return self.render_to_json(node) | [
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5monkeys/djedi-cms | djedi/admin/api.py | RevisionsApi.get | def get(self, request, uri):
"""
List uri revisions.
JSON Response:
[[uri, state], ...]
"""
uri = self.decode_uri(uri)
revisions = cio.revisions(uri)
revisions = [list(revision) for revision in revisions] # Convert tuples to lists
return self... | python | def get(self, request, uri):
"""
List uri revisions.
JSON Response:
[[uri, state], ...]
"""
uri = self.decode_uri(uri)
revisions = cio.revisions(uri)
revisions = [list(revision) for revision in revisions] # Convert tuples to lists
return self... | [
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5monkeys/djedi-cms | djedi/admin/api.py | LoadApi.get | def get(self, request, uri):
"""
Load raw node source from storage.
JSON Response:
{uri: x, data: y}
"""
uri = self.decode_uri(uri)
node = cio.load(uri)
return self.render_to_json(node) | python | def get(self, request, uri):
"""
Load raw node source from storage.
JSON Response:
{uri: x, data: y}
"""
uri = self.decode_uri(uri)
node = cio.load(uri)
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5monkeys/djedi-cms | djedi/admin/api.py | RenderApi.post | def post(self, request, ext):
"""
Render data for plugin and return text response.
"""
try:
plugin = plugins.get(ext)
data, meta = self.get_post_data(request)
data = plugin.load(data)
except UnknownPlugin:
raise Http404
else... | python | def post(self, request, ext):
"""
Render data for plugin and return text response.
"""
try:
plugin = plugins.get(ext)
data, meta = self.get_post_data(request)
data = plugin.load(data)
except UnknownPlugin:
raise Http404
else... | [
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philadams/habitica | habitica/core.py | set_checklists_status | def set_checklists_status(auth, args):
"""Set display_checklist status, toggling from cli flag"""
global checklists_on
if auth['checklists'] == "true":
checklists_on = True
else:
checklists_on = False
# reverse the config setting if specified by the CLI option
if args['--checkl... | python | def set_checklists_status(auth, args):
"""Set display_checklist status, toggling from cli flag"""
global checklists_on
if auth['checklists'] == "true":
checklists_on = True
else:
checklists_on = False
# reverse the config setting if specified by the CLI option
if args['--checkl... | [
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rackerlabs/fleece | fleece/handlers/wsgi.py | build_wsgi_environ_from_event | def build_wsgi_environ_from_event(event):
"""Create a WSGI environment from the proxy integration event."""
params = event.get('queryStringParameters')
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"""Create a WSGI environment from the proxy integration event."""
params = event.get('queryStringParameters')
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rackerlabs/fleece | fleece/handlers/wsgi.py | wsgi_handler | def wsgi_handler(event, context, app, logger):
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proxy integration.
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environ = build_wsgi_environ_from_event(event)
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rackerlabs/fleece | fleece/cli/run/run.py | assume_role | def assume_role(credentials, account, role):
"""Use FAWS provided credentials to assume defined role."""
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aws_access_key_id=credentials['accessKeyId'],
aws_secret_access_key=credentials['secretAccessKey'],
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sts = boto3.client(
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rackerlabs/fleece | fleece/cli/run/run.py | get_environment | def get_environment(config, stage):
"""Find default environment name in stage."""
stage_data = get_stage_data(stage, config.get('stages', {}))
if not stage_data:
sys.exit(NO_STAGE_DATA.format(stage))
try:
return stage_data['environment']
except KeyError:
sys.exit(NO_ENV_IN_ST... | python | def get_environment(config, stage):
"""Find default environment name in stage."""
stage_data = get_stage_data(stage, config.get('stages', {}))
if not stage_data:
sys.exit(NO_STAGE_DATA.format(stage))
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rackerlabs/fleece | fleece/cli/run/run.py | get_account | def get_account(config, environment, stage=None):
"""Find environment name in config object and return AWS account."""
if environment is None and stage:
environment = get_environment(config, stage)
account = None
for env in config.get('environments', []):
if env.get('name') == environmen... | python | def get_account(config, environment, stage=None):
"""Find environment name in config object and return AWS account."""
if environment is None and stage:
environment = get_environment(config, stage)
account = None
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rackerlabs/fleece | fleece/cli/run/run.py | get_aws_creds | def get_aws_creds(account, tenant, token):
"""Get AWS account credentials to enable access to AWS.
Returns a time bound set of AWS credentials.
"""
url = (FAWS_API_URL.format(account))
headers = {
'X-Auth-Token': token,
'X-Tenant-Id': tenant,
}
response = requests.post(url, ... | python | def get_aws_creds(account, tenant, token):
"""Get AWS account credentials to enable access to AWS.
Returns a time bound set of AWS credentials.
"""
url = (FAWS_API_URL.format(account))
headers = {
'X-Auth-Token': token,
'X-Tenant-Id': tenant,
}
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rackerlabs/fleece | fleece/cli/run/run.py | get_config | def get_config(config_file):
"""Get config file and parse YAML into dict."""
config_path = os.path.abspath(config_file)
try:
with open(config_path, 'r') as data:
config = yaml.safe_load(data)
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sys.exit(str(exc))
return config | python | def get_config(config_file):
"""Get config file and parse YAML into dict."""
config_path = os.path.abspath(config_file)
try:
with open(config_path, 'r') as data:
config = yaml.safe_load(data)
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rackerlabs/fleece | fleece/cli/run/run.py | get_rackspace_token | def get_rackspace_token(username, apikey):
"""Get Rackspace Identity token.
Login to Rackspace with cloud account and api key from environment vars.
Returns dict of the token and tenant id.
"""
auth_params = {
"auth": {
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"username"... | python | def get_rackspace_token(username, apikey):
"""Get Rackspace Identity token.
Login to Rackspace with cloud account and api key from environment vars.
Returns dict of the token and tenant id.
"""
auth_params = {
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rackerlabs/fleece | fleece/cli/run/run.py | validate_args | def validate_args(args):
"""Validate command-line arguments."""
if not any([args.environment, args.stage, args.account]):
sys.exit(NO_ACCT_OR_ENV_ERROR)
if args.environment and args.account:
sys.exit(ENV_AND_ACCT_ERROR)
if args.environment and args.role:
sys.exit(ENV_AND_ROLE_ERR... | python | def validate_args(args):
"""Validate command-line arguments."""
if not any([args.environment, args.stage, args.account]):
sys.exit(NO_ACCT_OR_ENV_ERROR)
if args.environment and args.account:
sys.exit(ENV_AND_ACCT_ERROR)
if args.environment and args.role:
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rackerlabs/fleece | fleece/requests.py | set_default_timeout | def set_default_timeout(timeout=None, connect_timeout=None, read_timeout=None):
"""
The purpose of this function is to install default socket timeouts and
retry policy for requests calls. Any requests issued through the requests
wrappers defined in this module will have these automatically set, unless
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rackerlabs/fleece | fleece/requests.py | Session.request | def request(self, method, url, **kwargs):
"""
Send a request.
If timeout is not explicitly given, use the default timeouts.
"""
if 'timeout' not in kwargs:
if self.timeout is not None:
kwargs['timeout'] = self.timeout
else:
... | python | def request(self, method, url, **kwargs):
"""
Send a request.
If timeout is not explicitly given, use the default timeouts.
"""
if 'timeout' not in kwargs:
if self.timeout is not None:
kwargs['timeout'] = self.timeout
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rackerlabs/fleece | fleece/log.py | _has_streamhandler | def _has_streamhandler(logger, level=None, fmt=LOG_FORMAT,
stream=DEFAULT_STREAM):
"""Check the named logger for an appropriate existing StreamHandler.
This only returns True if a StreamHandler that exaclty matches
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rackerlabs/fleece | fleece/log.py | inject_request_ids_into_environment | def inject_request_ids_into_environment(func):
"""Decorator for the Lambda handler to inject request IDs for logging."""
@wraps(func)
def wrapper(event, context):
# This might not always be an API Gateway event, so only log the
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"""Decorator for the Lambda handler to inject request IDs for logging."""
@wraps(func)
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rackerlabs/fleece | fleece/log.py | add_request_ids_from_environment | def add_request_ids_from_environment(logger, name, event_dict):
"""Custom processor adding request IDs to the log event, if available."""
if ENV_APIG_REQUEST_ID in os.environ:
event_dict['api_request_id'] = os.environ[ENV_APIG_REQUEST_ID]
if ENV_LAMBDA_REQUEST_ID in os.environ:
event_dict['l... | python | def add_request_ids_from_environment(logger, name, event_dict):
"""Custom processor adding request IDs to the log event, if available."""
if ENV_APIG_REQUEST_ID in os.environ:
event_dict['api_request_id'] = os.environ[ENV_APIG_REQUEST_ID]
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rackerlabs/fleece | fleece/log.py | get_logger | def get_logger(name=None, level=None, stream=DEFAULT_STREAM,
clobber_root_handler=True, logger_factory=None,
wrapper_class=None):
"""Configure and return a logger with structlog and stdlib."""
_configure_logger(
logger_factory=logger_factory,
wrapper_class=wrapper_c... | python | def get_logger(name=None, level=None, stream=DEFAULT_STREAM,
clobber_root_handler=True, logger_factory=None,
wrapper_class=None):
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rackerlabs/fleece | fleece/raxauth.py | validate | def validate(token):
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rackerlabs/fleece | fleece/utils.py | _fullmatch | def _fullmatch(pattern, text, *args, **kwargs):
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rackerlabs/fleece | fleece/xray.py | get_trace_id | def get_trace_id():
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"""Parse X-Ray Trace ID environment variable.
The value looks something like this:
Root=1-5901e3bc-8da3814a5f3ccbc864b66ecc;Parent=328f72132deac0ce;Sampled=1
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rackerlabs/fleece | fleece/xray.py | get_xray_daemon | def get_xray_daemon():
"""Parse X-Ray Daemon address environment variable.
If the environment variable is not set, raise an exception to signal that
we're unable to send data to X-Ray.
"""
env_value = os.environ.get('AWS_XRAY_DAEMON_ADDRESS')
if env_value is None:
raise XRayDaemonNotFou... | python | def get_xray_daemon():
"""Parse X-Ray Daemon address environment variable.
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rackerlabs/fleece | fleece/xray.py | send_segment_document_to_xray_daemon | def send_segment_document_to_xray_daemon(segment_document):
"""Format and send document to the X-Ray Daemon."""
try:
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try:
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rackerlabs/fleece | fleece/xray.py | send_subsegment_to_xray_daemon | def send_subsegment_to_xray_daemon(subsegment_id, parent_id,
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rackerlabs/fleece | fleece/xray.py | generic_xray_wrapper | def generic_xray_wrapper(wrapped, instance, args, kwargs, name, namespace,
metadata_extractor,
error_handling_type=ERROR_HANDLING_GENERIC):
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rackerlabs/fleece | fleece/xray.py | extract_function_metadata | def extract_function_metadata(wrapped, instance, args, kwargs, return_value):
"""Stash the `args` and `kwargs` into the metadata of the subsegment."""
LOGGER.debug(
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args=args,
kwargs=kwargs,
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return {
'metadata': {
'args':... | python | def extract_function_metadata(wrapped, instance, args, kwargs, return_value):
"""Stash the `args` and `kwargs` into the metadata of the subsegment."""
LOGGER.debug(
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rackerlabs/fleece | fleece/xray.py | trace_xray_subsegment | def trace_xray_subsegment(skip_args=False):
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"""
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rackerlabs/fleece | fleece/xray.py | get_service_name | def get_service_name(wrapped, instance, args, kwargs):
"""Return the AWS service name the client is communicating with."""
if 'serviceAbbreviation' not in instance._service_model.metadata:
return instance._service_model.metadata['endpointPrefix']
return instance._service_model.metadata['serviceAbbre... | python | def get_service_name(wrapped, instance, args, kwargs):
"""Return the AWS service name the client is communicating with."""
if 'serviceAbbreviation' not in instance._service_model.metadata:
return instance._service_model.metadata['endpointPrefix']
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rackerlabs/fleece | fleece/xray.py | extract_aws_metadata | def extract_aws_metadata(wrapped, instance, args, kwargs, return_value):
"""Provide AWS metadata for improved visualization.
See documentation for this data structure:
http://docs.aws.amazon.com/xray/latest/devguide/xray-api-segmentdocuments.html#api-segmentdocuments-aws
"""
response = return_value... | python | def extract_aws_metadata(wrapped, instance, args, kwargs, return_value):
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rackerlabs/fleece | fleece/xray.py | xray_botocore_api_call | def xray_botocore_api_call(wrapped, instance, args, kwargs):
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return generic_xray_wrapper(
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"""Wrapper around botocore's base client API call method."""
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rackerlabs/fleece | fleece/xray.py | extract_http_metadata | def extract_http_metadata(wrapped, instance, args, kwargs, return_value):
"""Provide HTTP request metadata for improved visualization.
See documentation for this data structure:
http://docs.aws.amazon.com/xray/latest/devguide/xray-api-segmentdocuments.html#api-segmentdocuments-http
"""
response = r... | python | def extract_http_metadata(wrapped, instance, args, kwargs, return_value):
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See documentation for this data structure:
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rackerlabs/fleece | fleece/xray.py | xray_requests_send | def xray_requests_send(wrapped, instance, args, kwargs):
"""Wrapper around the requests library's low-level send method."""
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"""Wrapper around the requests library's low-level send method."""
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SpikeInterface/spikeextractors | spikeextractors/SortingExtractor.py | SortingExtractor.set_unit_spike_features | def set_unit_spike_features(self, unit_id, feature_name, value):
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unit_id: int
The unit id for which the features will be set
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The unit id for which the property will be set
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SpikeInterface/spikeextractors | spikeextractors/SortingExtractor.py | SortingExtractor.set_units_property | def set_units_property(self, *, unit_ids=None, property_name, values):
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Parameters
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unit_ids: list
The list of unit ids for which the property will be set
Defaults to get_unit_ids()
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The list of unit ids for which the property will be set
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SpikeInterface/spikeextractors | spikeextractors/SortingExtractor.py | SortingExtractor.get_unit_property | def get_unit_property(self, unit_id, property_name):
'''This function rerturns the data stored under the property name given
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Parameters
----------
unit_id: int
The unit id for which the property will be returned
property_name: str
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SpikeInterface/spikeextractors | spikeextractors/SortingExtractor.py | SortingExtractor.get_units_property | def get_units_property(self, *, unit_ids=None, property_name):
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SpikeInterface/spikeextractors | spikeextractors/SortingExtractor.py | SortingExtractor.get_unit_property_names | def get_unit_property_names(self, unit_id=None):
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The unit id for which the property names will be returned
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SpikeInterface/spikeextractors | spikeextractors/SortingExtractor.py | SortingExtractor.copy_unit_properties | def copy_unit_properties(self, sorting, unit_ids=None):
'''Copy unit properties from another sorting extractor to the current
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sorting: SortingExtractor
The sorting extractor from which the properties will be copied
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SpikeInterface/spikeextractors | spikeextractors/SortingExtractor.py | SortingExtractor.copy_unit_spike_features | def copy_unit_spike_features(self, sorting, unit_ids=None):
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----------
sorting: SortingExtractor
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.get_snippets | def get_snippets(self, *, reference_frames, snippet_len, channel_ids=None):
'''This function returns data snippets from the given channels that
are starting on the given frames and are the length of the given snippet
lengths before and after.
Parameters
----------
snippe... | python | def get_snippets(self, *, reference_frames, snippet_len, channel_ids=None):
'''This function returns data snippets from the given channels that
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.set_channel_locations | def set_channel_locations(self, channel_ids, locations):
'''This function sets the location properties of each specified channel
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Parameters
----------
channel_ids: array_like
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.get_channel_locations | def get_channel_locations(self, channel_ids):
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Parameters
----------
channel_ids: array_like
The channel ids (ints) for which the locations will be returned
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.set_channel_groups | def set_channel_groups(self, channel_ids, groups):
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channel_ids: array_like
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.get_channel_groups | def get_channel_groups(self, channel_ids):
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Parameters
----------
channel_ids: array_like
The channel ids (ints) for which the groups will be returned
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channel_ids: array_like
The channel ids (ints) for which the groups will be returned
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.set_channel_property | def set_channel_property(self, channel_id, property_name, value):
'''This function adds a property dataset to the given channel under the
property name.
Parameters
----------
channel_id: int
The channel id for which the property will be added
property_name: s... | python | def set_channel_property(self, channel_id, property_name, value):
'''This function adds a property dataset to the given channel under the
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channel_id: int
The channel id for which the property will be added
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.get_channel_property | def get_channel_property(self, channel_id, property_name):
'''This function returns the data stored under the property name from
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channel_id: int
The channel id for which the property will be returned
property_name: str... | python | def get_channel_property(self, channel_id, property_name):
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channel_id: int
The channel id for which the property will be returned
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.add_epoch | def add_epoch(self, epoch_name, start_frame, end_frame):
'''This function adds an epoch to your recording extractor that tracks
a certain time period in your recording. It is stored in an internal
dictionary of start and end frame tuples.
Parameters
----------
epoch_name... | python | def add_epoch(self, epoch_name, start_frame, end_frame):
'''This function adds an epoch to your recording extractor that tracks
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.remove_epoch | def remove_epoch(self, epoch_name):
'''This function removes an epoch from your recording extractor.
Parameters
----------
epoch_name: str
The name of the epoch to be removed
'''
if isinstance(epoch_name, str):
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'''This function removes an epoch from your recording extractor.
Parameters
----------
epoch_name: str
The name of the epoch to be removed
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.get_epoch_names | def get_epoch_names(self):
'''This function returns a list of all the epoch names in your recording
Returns
----------
epoch_names: list
List of epoch names in the recording extractor
'''
epoch_names = list(self._epochs.keys())
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... | python | def get_epoch_names(self):
'''This function returns a list of all the epoch names in your recording
Returns
----------
epoch_names: list
List of epoch names in the recording extractor
'''
epoch_names = list(self._epochs.keys())
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.get_epoch_info | def get_epoch_info(self, epoch_name):
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----------
epoch_name: str
The name of the epoch to be returned
Returns
----------
epoch_info: dict
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epoch_name: str
The name of the epoch to be returned
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SpikeInterface/spikeextractors | spikeextractors/RecordingExtractor.py | RecordingExtractor.get_epoch | def get_epoch(self, epoch_name):
'''This function returns a SubRecordingExtractor which is a view to the
given epoch
Parameters
----------
epoch_name: str
The name of the epoch to be returned
Returns
----------
epoch_extractor: SubRecordingEx... | python | def get_epoch(self, epoch_name):
'''This function returns a SubRecordingExtractor which is a view to the
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epoch_name: str
The name of the epoch to be returned
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SpikeInterface/spikeextractors | spikeextractors/CurationSortingExtractor.py | CurationSortingExtractor.exclude_units | def exclude_units(self, unit_ids):
'''This function deletes roots from the curation tree according to the given unit_ids
Parameters
----------
unit_ids: list
The unit ids to be excluded
'''
root_ids = []
for i in range(len(self._roots)):
r... | python | def exclude_units(self, unit_ids):
'''This function deletes roots from the curation tree according to the given unit_ids
Parameters
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unit_ids: list
The unit ids to be excluded
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root_ids = []
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SpikeInterface/spikeextractors | spikeextractors/CurationSortingExtractor.py | CurationSortingExtractor.split_unit | def split_unit(self, unit_id, indices):
'''This function splits a root from the curation tree according to the given unit_id and indices. It creates two new unit_ids
and roots that have the split root as a child. This function splits the spike train of the root by the given indices.
Parameters
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'''This function splits a root from the curation tree according to the given unit_id and indices. It creates two new unit_ids
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SpikeInterface/spikeextractors | spikeextractors/tools.py | read_python | def read_python(path):
'''Parses python scripts in a dictionary
Parameters
----------
path: str
Path to file to parse
Returns
-------
metadata:
dictionary containing parsed file
'''
from six import exec_
path = Path(path).absolute()
assert path.is_file()
... | python | def read_python(path):
'''Parses python scripts in a dictionary
Parameters
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path: str
Path to file to parse
Returns
-------
metadata:
dictionary containing parsed file
'''
from six import exec_
path = Path(path).absolute()
assert path.is_file()
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SpikeInterface/spikeextractors | spikeextractors/tools.py | save_probe_file | def save_probe_file(recording, probe_file, format=None, radius=100, dimensions=None):
'''Saves probe file from the channel information of the given recording
extractor
Parameters
----------
recording: RecordingExtractor
The recording extractor to save probe file from
probe_file: str
... | python | def save_probe_file(recording, probe_file, format=None, radius=100, dimensions=None):
'''Saves probe file from the channel information of the given recording
extractor
Parameters
----------
recording: RecordingExtractor
The recording extractor to save probe file from
probe_file: str
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SpikeInterface/spikeextractors | spikeextractors/tools.py | write_binary_dat_format | def write_binary_dat_format(recording, save_path, time_axis=0, dtype=None, chunksize=None):
'''Saves the traces of a recording extractor in binary .dat format.
Parameters
----------
recording: RecordingExtractor
The recording extractor object to be saved in .dat format
save_path: str
... | python | def write_binary_dat_format(recording, save_path, time_axis=0, dtype=None, chunksize=None):
'''Saves the traces of a recording extractor in binary .dat format.
Parameters
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recording: RecordingExtractor
The recording extractor object to be saved in .dat format
save_path: str
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SpikeInterface/spikeextractors | spikeextractors/extractors/biocamrecordingextractor/biocamrecordingextractor.py | openBiocamFile | def openBiocamFile(filename, verbose=False):
"""Open a Biocam hdf5 file, read and return the recording info, pick te correct method to access raw data, and return this to the caller."""
rf = h5py.File(filename, 'r')
# Read recording variables
recVars = rf.require_group('3BRecInfo/3BRecVars/')
# bitD... | python | def openBiocamFile(filename, verbose=False):
"""Open a Biocam hdf5 file, read and return the recording info, pick te correct method to access raw data, and return this to the caller."""
rf = h5py.File(filename, 'r')
# Read recording variables
recVars = rf.require_group('3BRecInfo/3BRecVars/')
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quantmind/ccy | ccy/core/country.py | countries | def countries():
'''
get country dictionar from pytz and add some extra.
'''
global _countries
if not _countries:
v = {}
_countries = v
try:
from pytz import country_names
for k, n in country_names.items():
v[k.upper()] = n
exce... | python | def countries():
'''
get country dictionar from pytz and add some extra.
'''
global _countries
if not _countries:
v = {}
_countries = v
try:
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for k, n in country_names.items():
v[k.upper()] = n
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quantmind/ccy | ccy/core/country.py | countryccys | def countryccys():
'''
Create a dictionary with keys given by countries ISO codes and values
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'''
global _country_ccys
if not _country_ccys:
v = {}
_country_ccys = v
ccys = currencydb()
for c in eurozone:
v[c] = 'EUR'
f... | python | def countryccys():
'''
Create a dictionary with keys given by countries ISO codes and values
given by their currencies
'''
global _country_ccys
if not _country_ccys:
v = {}
_country_ccys = v
ccys = currencydb()
for c in eurozone:
v[c] = 'EUR'
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quantmind/ccy | ccy/core/country.py | set_country_map | def set_country_map(cfrom, cto, name=None, replace=True):
'''
Set a mapping between a country code to another code
'''
global _country_maps
cdb = countries()
cfrom = str(cfrom).upper()
c = cdb.get(cfrom)
if c:
if name:
c = name
cto = str(cto).upper()
i... | python | def set_country_map(cfrom, cto, name=None, replace=True):
'''
Set a mapping between a country code to another code
'''
global _country_maps
cdb = countries()
cfrom = str(cfrom).upper()
c = cdb.get(cfrom)
if c:
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c = name
cto = str(cto).upper()
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quantmind/ccy | ccy/core/country.py | set_new_country | def set_new_country(code, ccy, name):
'''
Add new country code to database
'''
code = str(code).upper()
cdb = countries()
if code in cdb:
raise CountryError('Country %s already in database' % code)
ccys = currencydb()
ccy = str(ccy).upper()
if ccy not in ccys:
raise C... | python | def set_new_country(code, ccy, name):
'''
Add new country code to database
'''
code = str(code).upper()
cdb = countries()
if code in cdb:
raise CountryError('Country %s already in database' % code)
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quantmind/ccy | docs/_ext/table.py | TableDirective.run | def run(self):
"""
Implements the directive
"""
# Get content and options
data_path = self.arguments[0]
header = self.options.get('header', True)
bits = data_path.split('.')
name = bits[-1]
path = '.'.join(bits[:-1])
node = table_node()
... | python | def run(self):
"""
Implements the directive
"""
# Get content and options
data_path = self.arguments[0]
header = self.options.get('header', True)
bits = data_path.split('.')
name = bits[-1]
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quantmind/ccy | ccy/dates/converters.py | todate | def todate(val):
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'''
if not val:
raise ValueError("Value not provided")
if isinstance(val, datetime):
return val.date()
elif isinstance(val, date):
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'''Convert val to a datetime.date instance by trying several
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If it fails it raise a ValueError exception.
'''
if not val:
raise ValueError("Value not provided")
if isinstance(val, datetime):
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quantmind/ccy | ccy/dates/period.py | Period.components | def components(self):
'''The period string'''
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m = self.months
w = self.weeks
d = self.days
if y:
p = '%sY' % abs(y)
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p = '%s%sM' % (p, abs(m))
if w:
p =... | python | def components(self):
'''The period string'''
p = ''
neg = self.totaldays < 0
y = self.years
m = self.months
w = self.weeks
d = self.days
if y:
p = '%sY' % abs(y)
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p = '%s%sM' % (p, abs(m))
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quantmind/ccy | ccy/dates/period.py | Period.simple | def simple(self):
'''A string representation with only one period delimiter.'''
if self._days:
return '%sD' % self.totaldays
elif self.months:
return '%sM' % self._months
elif self.years:
return '%sY' % self.years
else:
return '' | python | def simple(self):
'''A string representation with only one period delimiter.'''
if self._days:
return '%sD' % self.totaldays
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return '%sM' % self._months
elif self.years:
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quantmind/ccy | ccy/core/currency.py | ccy.swap | def swap(self, c2):
'''
put the order of currencies as market standard
'''
inv = False
c1 = self
if c1.order > c2.order:
ct = c1
c1 = c2
c2 = ct
inv = True
return inv, c1, c2 | python | def swap(self, c2):
'''
put the order of currencies as market standard
'''
inv = False
c1 = self
if c1.order > c2.order:
ct = c1
c1 = c2
c2 = ct
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quantmind/ccy | ccy/core/currency.py | ccy.as_cross | def as_cross(self, delimiter=''):
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Return a cross rate representation with respect USD.
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'''
if self.order > usd_order:
return 'USD%s%s' % (delimiter, self.code)
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Return a cross rate representation with respect USD.
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'''
if self.order > usd_order:
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airbus-cert/mispy | mispy/misp.py | MispServer.POST | def POST(self, path, body, xml=True):
"""
Raw POST to the MISP server
:param path: URL fragment (ie /events/)
:param body: HTTP Body (raw bytes)
:returns: HTTP raw content (as seen by :class:`requests.Response`)
"""
url = self._absolute_url(path)
headers ... | python | def POST(self, path, body, xml=True):
"""
Raw POST to the MISP server
:param path: URL fragment (ie /events/)
:param body: HTTP Body (raw bytes)
:returns: HTTP raw content (as seen by :class:`requests.Response`)
"""
url = self._absolute_url(path)
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"""
Raw GET to the MISP server
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:returns: HTTP raw content (as seen by :class:`requests.Response`)
"""
url = self._absolute_url(path)
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"""
Raw GET to the MISP server
:param path: URL fragment (ie /events/)
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"""
url = self._absolute_url(path)
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airbus-cert/mispy | mispy/misp.py | MispShadowAttribute.from_attribute | def from_attribute(attr):
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>>> server = MispServer()
>>> event = server.events.get(12)
... | python | def from_attribute(attr):
"""
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>>> server = MispServer()
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gmr/rejected | rejected/mcp.py | MasterControlProgram.active_processes | def active_processes(self, use_cache=True):
"""Return a list of all active processes, pruning dead ones
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"""
LOGGER.debug('Checking active processes (cache: %s)', use_cache)
if self.can_use_process_cache(use_cache):
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"""Return a list of all active processes, pruning dead ones
:rtype: list
"""
LOGGER.debug('Checking active processes (cache: %s)', use_cache)
if self.can_use_process_cache(use_cache):
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gmr/rejected | rejected/mcp.py | MasterControlProgram.calculate_stats | def calculate_stats(self, data):
"""Calculate the stats data for our process level data.
:param data: The collected stats data to report on
:type data: dict
"""
timestamp = data['timestamp']
del data['timestamp']
# Iterate through the last poll results
... | python | def calculate_stats(self, data):
"""Calculate the stats data for our process level data.
:param data: The collected stats data to report on
:type data: dict
"""
timestamp = data['timestamp']
del data['timestamp']
# Iterate through the last poll results
... | [
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gmr/rejected | rejected/mcp.py | MasterControlProgram.can_use_process_cache | def can_use_process_cache(self, use_cache):
"""Returns True if the process cache can be used
:param bool use_cache: Override the logic to force non-cached values
:rtype: bool
"""
return (use_cache and
self._active_cache and
self._active_cache[0] ... | python | def can_use_process_cache(self, use_cache):
"""Returns True if the process cache can be used
:param bool use_cache: Override the logic to force non-cached values
:rtype: bool
"""
return (use_cache and
self._active_cache and
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gmr/rejected | rejected/mcp.py | MasterControlProgram.check_process_counts | def check_process_counts(self):
"""Check for the minimum consumer process levels and start up new
processes needed.
"""
LOGGER.debug('Checking minimum consumer process levels')
for name in self.consumers:
processes_needed = self.process_spawn_qty(name)
if... | python | def check_process_counts(self):
"""Check for the minimum consumer process levels and start up new
processes needed.
"""
LOGGER.debug('Checking minimum consumer process levels')
for name in self.consumers:
processes_needed = self.process_spawn_qty(name)
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gmr/rejected | rejected/mcp.py | MasterControlProgram.collect_results | def collect_results(self, data_values):
"""Receive the data from the consumers polled and process it.
:param dict data_values: The poll data returned from the consumer
:type data_values: dict
"""
self.last_poll_results['timestamp'] = self.poll_data['timestamp']
# Get t... | python | def collect_results(self, data_values):
"""Receive the data from the consumers polled and process it.
:param dict data_values: The poll data returned from the consumer
:type data_values: dict
"""
self.last_poll_results['timestamp'] = self.poll_data['timestamp']
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gmr/rejected | rejected/mcp.py | MasterControlProgram.consumer_stats_counter | def consumer_stats_counter():
"""Return a new consumer stats counter instance.
:rtype: dict
"""
return {
process.Process.ERROR: 0,
process.Process.PROCESSED: 0,
process.Process.REDELIVERED: 0
} | python | def consumer_stats_counter():
"""Return a new consumer stats counter instance.
:rtype: dict
"""
return {
process.Process.ERROR: 0,
process.Process.PROCESSED: 0,
process.Process.REDELIVERED: 0
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gmr/rejected | rejected/mcp.py | MasterControlProgram.get_consumer_process | def get_consumer_process(self, consumer, name):
"""Get the process object for the specified consumer and process name.
:param str consumer: The consumer name
:param str name: The process name
:returns: multiprocessing.Process
"""
return self.consumers[consumer].processe... | python | def get_consumer_process(self, consumer, name):
"""Get the process object for the specified consumer and process name.
:param str consumer: The consumer name
:param str name: The process name
:returns: multiprocessing.Process
"""
return self.consumers[consumer].processe... | [
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gmr/rejected | rejected/mcp.py | MasterControlProgram.get_consumer_cfg | def get_consumer_cfg(config, only, qty):
"""Get the consumers config, possibly filtering the config if only
or qty is set.
:param config: The consumers config section
:type config: helper.config.Config
:param str only: When set, filter to run only this consumer
:param in... | python | def get_consumer_cfg(config, only, qty):
"""Get the consumers config, possibly filtering the config if only
or qty is set.
:param config: The consumers config section
:type config: helper.config.Config
:param str only: When set, filter to run only this consumer
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gmr/rejected | rejected/mcp.py | MasterControlProgram.is_dead | def is_dead(self, proc, name):
"""Checks to see if the specified process is dead.
:param psutil.Process proc: The process to check
:param str name: The name of consumer
:rtype: bool
"""
LOGGER.debug('Checking %s (%r)', name, proc)
try:
status = proc.... | python | def is_dead(self, proc, name):
"""Checks to see if the specified process is dead.
:param psutil.Process proc: The process to check
:param str name: The name of consumer
:rtype: bool
"""
LOGGER.debug('Checking %s (%r)', name, proc)
try:
status = proc.... | [
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gmr/rejected | rejected/mcp.py | MasterControlProgram.kill_processes | def kill_processes(self):
"""Gets called on shutdown by the timer when too much time has gone by,
calling the terminate method instead of nicely asking for the consumers
to stop.
"""
LOGGER.critical('Max shutdown exceeded, forcibly exiting')
processes = self.active_proce... | python | def kill_processes(self):
"""Gets called on shutdown by the timer when too much time has gone by,
calling the terminate method instead of nicely asking for the consumers
to stop.
"""
LOGGER.critical('Max shutdown exceeded, forcibly exiting')
processes = self.active_proce... | [
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gmr/rejected | rejected/mcp.py | MasterControlProgram.log_stats | def log_stats(self):
"""Output the stats to the LOGGER."""
if not self.stats.get('counts'):
if self.consumers:
LOGGER.info('Did not receive any stats data from children')
return
if self.poll_data['processes']:
LOGGER.warning('%i process(es) di... | python | def log_stats(self):
"""Output the stats to the LOGGER."""
if not self.stats.get('counts'):
if self.consumers:
LOGGER.info('Did not receive any stats data from children')
return
if self.poll_data['processes']:
LOGGER.warning('%i process(es) di... | [
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gmr/rejected | rejected/mcp.py | MasterControlProgram.new_consumer | def new_consumer(self, config, consumer_name):
"""Return a consumer dict for the given name and configuration.
:param dict config: The consumer configuration
:param str consumer_name: The consumer name
:rtype: dict
"""
return Consumer(0,
dict(),
... | python | def new_consumer(self, config, consumer_name):
"""Return a consumer dict for the given name and configuration.
:param dict config: The consumer configuration
:param str consumer_name: The consumer name
:rtype: dict
"""
return Consumer(0,
dict(),
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gmr/rejected | rejected/mcp.py | MasterControlProgram.new_process | def new_process(self, consumer_name):
"""Create a new consumer instances
:param str consumer_name: The name of the consumer
:return tuple: (str, process.Process)
"""
process_name = '%s-%s' % (consumer_name,
self.new_process_number(consumer_name... | python | def new_process(self, consumer_name):
"""Create a new consumer instances
:param str consumer_name: The name of the consumer
:return tuple: (str, process.Process)
"""
process_name = '%s-%s' % (consumer_name,
self.new_process_number(consumer_name... | [
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gmr/rejected | rejected/mcp.py | MasterControlProgram.new_process_number | def new_process_number(self, name):
"""Increment the counter for the process id number for a given consumer
configuration.
:param str name: Consumer name
:rtype: int
"""
self.consumers[name].last_proc_num += 1
return self.consumers[name].last_proc_num | python | def new_process_number(self, name):
"""Increment the counter for the process id number for a given consumer
configuration.
:param str name: Consumer name
:rtype: int
"""
self.consumers[name].last_proc_num += 1
return self.consumers[name].last_proc_num | [
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