repo stringlengths 7 55 | path stringlengths 4 127 | func_name stringlengths 1 88 | original_string stringlengths 75 19.8k | language stringclasses 1
value | code stringlengths 75 19.8k | code_tokens list | docstring stringlengths 3 17.3k | docstring_tokens list | sha stringlengths 40 40 | url stringlengths 87 242 | partition stringclasses 1
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fronzbot/blinkpy | blinkpy/sync_module.py | BlinkSyncModule.arm | def arm(self, value):
"""Arm or disarm system."""
if value:
return api.request_system_arm(self.blink, self.network_id)
return api.request_system_disarm(self.blink, self.network_id) | python | def arm(self, value):
"""Arm or disarm system."""
if value:
return api.request_system_arm(self.blink, self.network_id)
return api.request_system_disarm(self.blink, self.network_id) | [
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fronzbot/blinkpy | blinkpy/sync_module.py | BlinkSyncModule.start | def start(self):
"""Initialize the system."""
response = api.request_syncmodule(self.blink,
self.network_id,
force=True)
try:
self.summary = response['syncmodule']
self.network_id = self.s... | python | def start(self):
"""Initialize the system."""
response = api.request_syncmodule(self.blink,
self.network_id,
force=True)
try:
self.summary = response['syncmodule']
self.network_id = self.s... | [
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fronzbot/blinkpy | blinkpy/sync_module.py | BlinkSyncModule.get_events | def get_events(self, **kwargs):
"""Retrieve events from server."""
force = kwargs.pop('force', False)
response = api.request_sync_events(self.blink,
self.network_id,
force=force)
try:
return... | python | def get_events(self, **kwargs):
"""Retrieve events from server."""
force = kwargs.pop('force', False)
response = api.request_sync_events(self.blink,
self.network_id,
force=force)
try:
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fronzbot/blinkpy | blinkpy/sync_module.py | BlinkSyncModule.get_camera_info | def get_camera_info(self, camera_id):
"""Retrieve camera information."""
response = api.request_camera_info(self.blink,
self.network_id,
camera_id)
try:
return response['camera'][0]
except (... | python | def get_camera_info(self, camera_id):
"""Retrieve camera information."""
response = api.request_camera_info(self.blink,
self.network_id,
camera_id)
try:
return response['camera'][0]
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fronzbot/blinkpy | blinkpy/sync_module.py | BlinkSyncModule.refresh | def refresh(self, force_cache=False):
"""Get all blink cameras and pulls their most recent status."""
self.network_info = api.request_network_status(self.blink,
self.network_id)
self.check_new_videos()
for camera_name in self.cameras... | python | def refresh(self, force_cache=False):
"""Get all blink cameras and pulls their most recent status."""
self.network_info = api.request_network_status(self.blink,
self.network_id)
self.check_new_videos()
for camera_name in self.cameras... | [
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fronzbot/blinkpy | blinkpy/sync_module.py | BlinkSyncModule.check_new_videos | def check_new_videos(self):
"""Check if new videos since last refresh."""
resp = api.request_videos(self.blink,
time=self.blink.last_refresh,
page=0)
for camera in self.cameras.keys():
self.motion[camera] = False
... | python | def check_new_videos(self):
"""Check if new videos since last refresh."""
resp = api.request_videos(self.blink,
time=self.blink.last_refresh,
page=0)
for camera in self.cameras.keys():
self.motion[camera] = False
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fronzbot/blinkpy | blinkpy/camera.py | BlinkCamera.attributes | def attributes(self):
"""Return dictionary of all camera attributes."""
attributes = {
'name': self.name,
'camera_id': self.camera_id,
'serial': self.serial,
'temperature': self.temperature,
'temperature_c': self.temperature_c,
'tem... | python | def attributes(self):
"""Return dictionary of all camera attributes."""
attributes = {
'name': self.name,
'camera_id': self.camera_id,
'serial': self.serial,
'temperature': self.temperature,
'temperature_c': self.temperature_c,
'tem... | [
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fronzbot/blinkpy | blinkpy/camera.py | BlinkCamera.snap_picture | def snap_picture(self):
"""Take a picture with camera to create a new thumbnail."""
return api.request_new_image(self.sync.blink,
self.network_id,
self.camera_id) | python | def snap_picture(self):
"""Take a picture with camera to create a new thumbnail."""
return api.request_new_image(self.sync.blink,
self.network_id,
self.camera_id) | [
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fronzbot/blinkpy | blinkpy/camera.py | BlinkCamera.set_motion_detect | def set_motion_detect(self, enable):
"""Set motion detection."""
if enable:
return api.request_motion_detection_enable(self.sync.blink,
self.network_id,
self.camera_id)
retur... | python | def set_motion_detect(self, enable):
"""Set motion detection."""
if enable:
return api.request_motion_detection_enable(self.sync.blink,
self.network_id,
self.camera_id)
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fronzbot/blinkpy | blinkpy/camera.py | BlinkCamera.update | def update(self, config, force_cache=False, **kwargs):
"""Update camera info."""
# force = kwargs.pop('force', False)
self.name = config['name']
self.camera_id = str(config['id'])
self.network_id = str(config['network_id'])
self.serial = config['serial']
self.moti... | python | def update(self, config, force_cache=False, **kwargs):
"""Update camera info."""
# force = kwargs.pop('force', False)
self.name = config['name']
self.camera_id = str(config['id'])
self.network_id = str(config['network_id'])
self.serial = config['serial']
self.moti... | [
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fronzbot/blinkpy | blinkpy/camera.py | BlinkCamera.image_to_file | def image_to_file(self, path):
"""
Write image to file.
:param path: Path to write file
"""
_LOGGER.debug("Writing image from %s to %s", self.name, path)
response = self._cached_image
if response.status_code == 200:
with open(path, 'wb') as imgfile:
... | python | def image_to_file(self, path):
"""
Write image to file.
:param path: Path to write file
"""
_LOGGER.debug("Writing image from %s to %s", self.name, path)
response = self._cached_image
if response.status_code == 200:
with open(path, 'wb') as imgfile:
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fronzbot/blinkpy | blinkpy/camera.py | BlinkCamera.video_to_file | def video_to_file(self, path):
"""Write video to file.
:param path: Path to write file
"""
_LOGGER.debug("Writing video from %s to %s", self.name, path)
response = self._cached_video
if response is None:
_LOGGER.error("No saved video exist for %s.",
... | python | def video_to_file(self, path):
"""Write video to file.
:param path: Path to write file
"""
_LOGGER.debug("Writing video from %s to %s", self.name, path)
response = self._cached_video
if response is None:
_LOGGER.error("No saved video exist for %s.",
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fronzbot/blinkpy | blinkpy/camera.py | BlinkCamera.get_thumb_from_homescreen | def get_thumb_from_homescreen(self):
"""Retrieve thumbnail from homescreen."""
for device in self.sync.homescreen['devices']:
try:
device_type = device['device_type']
device_name = device['name']
device_thumb = device['thumbnail']
... | python | def get_thumb_from_homescreen(self):
"""Retrieve thumbnail from homescreen."""
for device in self.sync.homescreen['devices']:
try:
device_type = device['device_type']
device_name = device['name']
device_thumb = device['thumbnail']
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fronzbot/blinkpy | blinkpy/helpers/util.py | get_time | def get_time(time_to_convert=None):
"""Create blink-compatible timestamp."""
if time_to_convert is None:
time_to_convert = time.time()
return time.strftime(TIMESTAMP_FORMAT, time.localtime(time_to_convert)) | python | def get_time(time_to_convert=None):
"""Create blink-compatible timestamp."""
if time_to_convert is None:
time_to_convert = time.time()
return time.strftime(TIMESTAMP_FORMAT, time.localtime(time_to_convert)) | [
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fronzbot/blinkpy | blinkpy/helpers/util.py | merge_dicts | def merge_dicts(dict_a, dict_b):
"""Merge two dictionaries into one."""
duplicates = [val for val in dict_a if val in dict_b]
if duplicates:
_LOGGER.warning(("Duplicates found during merge: %s. "
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return {**dict_a, **dict_b} | python | def merge_dicts(dict_a, dict_b):
"""Merge two dictionaries into one."""
duplicates = [val for val in dict_a if val in dict_b]
if duplicates:
_LOGGER.warning(("Duplicates found during merge: %s. "
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fronzbot/blinkpy | blinkpy/helpers/util.py | attempt_reauthorization | def attempt_reauthorization(blink):
"""Attempt to refresh auth token and links."""
_LOGGER.info("Auth token expired, attempting reauthorization.")
headers = blink.get_auth_token(is_retry=True)
return headers | python | def attempt_reauthorization(blink):
"""Attempt to refresh auth token and links."""
_LOGGER.info("Auth token expired, attempting reauthorization.")
headers = blink.get_auth_token(is_retry=True)
return headers | [
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fronzbot/blinkpy | blinkpy/helpers/util.py | http_req | def http_req(blink, url='http://example.com', data=None, headers=None,
reqtype='get', stream=False, json_resp=True, is_retry=False):
"""
Perform server requests and check if reauthorization neccessary.
:param blink: Blink instance
:param url: URL to perform request
:param data: Data to... | python | def http_req(blink, url='http://example.com', data=None, headers=None,
reqtype='get', stream=False, json_resp=True, is_retry=False):
"""
Perform server requests and check if reauthorization neccessary.
:param blink: Blink instance
:param url: URL to perform request
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.start | def start(self):
"""
Perform full system setup.
Method logs in and sets auth token, urls, and ids for future requests.
Essentially this is just a wrapper function for ease of use.
"""
if self._username is None or self._password is None:
if not self.login():
... | python | def start(self):
"""
Perform full system setup.
Method logs in and sets auth token, urls, and ids for future requests.
Essentially this is just a wrapper function for ease of use.
"""
if self._username is None or self._password is None:
if not self.login():
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.login | def login(self):
"""Prompt user for username and password."""
self._username = input("Username:")
self._password = getpass.getpass("Password:")
if self.get_auth_token():
_LOGGER.debug("Login successful!")
return True
_LOGGER.warning("Unable to login with %... | python | def login(self):
"""Prompt user for username and password."""
self._username = input("Username:")
self._password = getpass.getpass("Password:")
if self.get_auth_token():
_LOGGER.debug("Login successful!")
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.get_auth_token | def get_auth_token(self, is_retry=False):
"""Retrieve the authentication token from Blink."""
if not isinstance(self._username, str):
raise BlinkAuthenticationException(ERROR.USERNAME)
if not isinstance(self._password, str):
raise BlinkAuthenticationException(ERROR.PASSWO... | python | def get_auth_token(self, is_retry=False):
"""Retrieve the authentication token from Blink."""
if not isinstance(self._username, str):
raise BlinkAuthenticationException(ERROR.USERNAME)
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.login_request | def login_request(self, login_urls, is_retry=False):
"""Make a login request."""
try:
login_url = login_urls.pop(0)
except IndexError:
_LOGGER.error("Could not login to blink servers.")
return False
_LOGGER.info("Attempting login with %s", login_url)
... | python | def login_request(self, login_urls, is_retry=False):
"""Make a login request."""
try:
login_url = login_urls.pop(0)
except IndexError:
_LOGGER.error("Could not login to blink servers.")
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_LOGGER.info("Attempting login with %s", login_url)
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.get_ids | def get_ids(self):
"""Set the network ID and Account ID."""
response = api.request_networks(self)
all_networks = []
network_dict = {}
for network, status in self.networks.items():
if status['onboarded']:
all_networks.append('{}'.format(network))
... | python | def get_ids(self):
"""Set the network ID and Account ID."""
response = api.request_networks(self)
all_networks = []
network_dict = {}
for network, status in self.networks.items():
if status['onboarded']:
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.get_cameras | def get_cameras(self):
"""Retrieve a camera list for each onboarded network."""
response = api.request_homescreen(self)
try:
all_cameras = {}
for camera in response['cameras']:
camera_network = str(camera['network_id'])
camera_name = camera... | python | def get_cameras(self):
"""Retrieve a camera list for each onboarded network."""
response = api.request_homescreen(self)
try:
all_cameras = {}
for camera in response['cameras']:
camera_network = str(camera['network_id'])
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.refresh | def refresh(self, force_cache=False):
"""
Perform a system refresh.
:param force_cache: Force an update of the camera cache
"""
if self.check_if_ok_to_update() or force_cache:
for sync_name, sync_module in self.sync.items():
_LOGGER.debug("Attempting ... | python | def refresh(self, force_cache=False):
"""
Perform a system refresh.
:param force_cache: Force an update of the camera cache
"""
if self.check_if_ok_to_update() or force_cache:
for sync_name, sync_module in self.sync.items():
_LOGGER.debug("Attempting ... | [
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.check_if_ok_to_update | def check_if_ok_to_update(self):
"""Check if it is ok to perform an http request."""
current_time = int(time.time())
last_refresh = self.last_refresh
if last_refresh is None:
last_refresh = 0
if current_time >= (last_refresh + self.refresh_rate):
return Tr... | python | def check_if_ok_to_update(self):
"""Check if it is ok to perform an http request."""
current_time = int(time.time())
last_refresh = self.last_refresh
if last_refresh is None:
last_refresh = 0
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.merge_cameras | def merge_cameras(self):
"""Merge all sync camera dicts into one."""
combined = CaseInsensitiveDict({})
for sync in self.sync:
combined = merge_dicts(combined, self.sync[sync].cameras)
return combined | python | def merge_cameras(self):
"""Merge all sync camera dicts into one."""
combined = CaseInsensitiveDict({})
for sync in self.sync:
combined = merge_dicts(combined, self.sync[sync].cameras)
return combined | [
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink.download_videos | def download_videos(self, path, since=None, camera='all', stop=10):
"""
Download all videos from server since specified time.
:param path: Path to write files. /path/<cameraname>_<recorddate>.mp4
:param since: Date and time to get videos from.
Ex: "2018/07/28 12:3... | python | def download_videos(self, path, since=None, camera='all', stop=10):
"""
Download all videos from server since specified time.
:param path: Path to write files. /path/<cameraname>_<recorddate>.mp4
:param since: Date and time to get videos from.
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fronzbot/blinkpy | blinkpy/blinkpy.py | Blink._parse_downloaded_items | def _parse_downloaded_items(self, result, camera, path):
"""Parse downloaded videos."""
for item in result:
try:
created_at = item['created_at']
camera_name = item['camera_name']
is_deleted = item['deleted']
address = item['addr... | python | def _parse_downloaded_items(self, result, camera, path):
"""Parse downloaded videos."""
for item in result:
try:
created_at = item['created_at']
camera_name = item['camera_name']
is_deleted = item['deleted']
address = item['addr... | [
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fronzbot/blinkpy | blinkpy/api.py | request_login | def request_login(blink, url, username, password, is_retry=False):
"""
Login request.
:param blink: Blink instance.
:param url: Login url.
:param username: Blink username.
:param password: Blink password.
:param is_retry: Is this part of a re-authorization attempt?
"""
headers = {
... | python | def request_login(blink, url, username, password, is_retry=False):
"""
Login request.
:param blink: Blink instance.
:param url: Login url.
:param username: Blink username.
:param password: Blink password.
:param is_retry: Is this part of a re-authorization attempt?
"""
headers = {
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fronzbot/blinkpy | blinkpy/api.py | request_networks | def request_networks(blink):
"""Request all networks information."""
url = "{}/networks".format(blink.urls.base_url)
return http_get(blink, url) | python | def request_networks(blink):
"""Request all networks information."""
url = "{}/networks".format(blink.urls.base_url)
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fronzbot/blinkpy | blinkpy/api.py | request_network_status | def request_network_status(blink, network):
"""
Request network information.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}".format(blink.urls.base_url, network)
return http_get(blink, url) | python | def request_network_status(blink, network):
"""
Request network information.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}".format(blink.urls.base_url, network)
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fronzbot/blinkpy | blinkpy/api.py | request_syncmodule | def request_syncmodule(blink, network):
"""
Request sync module info.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/syncmodules".format(blink.urls.base_url, network)
return http_get(blink, url) | python | def request_syncmodule(blink, network):
"""
Request sync module info.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/syncmodules".format(blink.urls.base_url, network)
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fronzbot/blinkpy | blinkpy/api.py | request_system_arm | def request_system_arm(blink, network):
"""
Arm system.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/arm".format(blink.urls.base_url, network)
return http_post(blink, url) | python | def request_system_arm(blink, network):
"""
Arm system.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/arm".format(blink.urls.base_url, network)
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fronzbot/blinkpy | blinkpy/api.py | request_system_disarm | def request_system_disarm(blink, network):
"""
Disarm system.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/disarm".format(blink.urls.base_url, network)
return http_post(blink, url) | python | def request_system_disarm(blink, network):
"""
Disarm system.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/disarm".format(blink.urls.base_url, network)
return http_post(blink, url) | [
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fronzbot/blinkpy | blinkpy/api.py | request_command_status | def request_command_status(blink, network, command_id):
"""
Request command status.
:param blink: Blink instance.
:param network: Sync module network id.
:param command_id: Command id to check.
"""
url = "{}/network/{}/command/{}".format(blink.urls.base_url,
... | python | def request_command_status(blink, network, command_id):
"""
Request command status.
:param blink: Blink instance.
:param network: Sync module network id.
:param command_id: Command id to check.
"""
url = "{}/network/{}/command/{}".format(blink.urls.base_url,
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fronzbot/blinkpy | blinkpy/api.py | request_homescreen | def request_homescreen(blink):
"""Request homescreen info."""
url = "{}/api/v3/accounts/{}/homescreen".format(blink.urls.base_url,
blink.account_id)
return http_get(blink, url) | python | def request_homescreen(blink):
"""Request homescreen info."""
url = "{}/api/v3/accounts/{}/homescreen".format(blink.urls.base_url,
blink.account_id)
return http_get(blink, url) | [
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fronzbot/blinkpy | blinkpy/api.py | request_sync_events | def request_sync_events(blink, network):
"""
Request events from sync module.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/events/network/{}".format(blink.urls.base_url, network)
return http_get(blink, url) | python | def request_sync_events(blink, network):
"""
Request events from sync module.
:param blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/events/network/{}".format(blink.urls.base_url, network)
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fronzbot/blinkpy | blinkpy/api.py | request_video_count | def request_video_count(blink):
"""Request total video count."""
url = "{}/api/v2/videos/count".format(blink.urls.base_url)
return http_get(blink, url) | python | def request_video_count(blink):
"""Request total video count."""
url = "{}/api/v2/videos/count".format(blink.urls.base_url)
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fronzbot/blinkpy | blinkpy/api.py | request_videos | def request_videos(blink, time=None, page=0):
"""
Perform a request for videos.
:param blink: Blink instance.
:param time: Get videos since this time. In epoch seconds.
:param page: Page number to get videos from.
"""
timestamp = get_time(time)
url = "{}/api/v2/videos/changed?since={}&... | python | def request_videos(blink, time=None, page=0):
"""
Perform a request for videos.
:param blink: Blink instance.
:param time: Get videos since this time. In epoch seconds.
:param page: Page number to get videos from.
"""
timestamp = get_time(time)
url = "{}/api/v2/videos/changed?since={}&... | [
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fronzbot/blinkpy | blinkpy/api.py | request_cameras | def request_cameras(blink, network):
"""
Request all camera information.
:param Blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/cameras".format(blink.urls.base_url, network)
return http_get(blink, url) | python | def request_cameras(blink, network):
"""
Request all camera information.
:param Blink: Blink instance.
:param network: Sync module network id.
"""
url = "{}/network/{}/cameras".format(blink.urls.base_url, network)
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fronzbot/blinkpy | blinkpy/api.py | request_camera_sensors | def request_camera_sensors(blink, network, camera_id):
"""
Request camera sensor info for one camera.
:param blink: Blink instance.
:param network: Sync module network id.
:param camera_id: Camera ID of camera to request sesnor info from.
"""
url = "{}/network/{}/camera/{}/signals".format(b... | python | def request_camera_sensors(blink, network, camera_id):
"""
Request camera sensor info for one camera.
:param blink: Blink instance.
:param network: Sync module network id.
:param camera_id: Camera ID of camera to request sesnor info from.
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fronzbot/blinkpy | blinkpy/api.py | request_motion_detection_enable | def request_motion_detection_enable(blink, network, camera_id):
"""
Enable motion detection for a camera.
:param blink: Blink instance.
:param network: Sync module network id.
:param camera_id: Camera ID of camera to enable.
"""
url = "{}/network/{}/camera/{}/enable".format(blink.urls.base_... | python | def request_motion_detection_enable(blink, network, camera_id):
"""
Enable motion detection for a camera.
:param blink: Blink instance.
:param network: Sync module network id.
:param camera_id: Camera ID of camera to enable.
"""
url = "{}/network/{}/camera/{}/enable".format(blink.urls.base_... | [
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fronzbot/blinkpy | blinkpy/api.py | http_get | def http_get(blink, url, stream=False, json=True, is_retry=False):
"""
Perform an http get request.
:param url: URL to perform get request.
:param stream: Stream response? True/FALSE
:param json: Return json response? TRUE/False
:param is_retry: Is this part of a re-auth attempt?
"""
if... | python | def http_get(blink, url, stream=False, json=True, is_retry=False):
"""
Perform an http get request.
:param url: URL to perform get request.
:param stream: Stream response? True/FALSE
:param json: Return json response? TRUE/False
:param is_retry: Is this part of a re-auth attempt?
"""
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fronzbot/blinkpy | blinkpy/api.py | http_post | def http_post(blink, url, is_retry=False):
"""
Perform an http post request.
:param url: URL to perfom post request.
:param is_retry: Is this part of a re-auth attempt?
"""
if blink.auth_header is None:
raise BlinkException(ERROR.AUTH_TOKEN)
_LOGGER.debug("Making POST request to %s"... | python | def http_post(blink, url, is_retry=False):
"""
Perform an http post request.
:param url: URL to perfom post request.
:param is_retry: Is this part of a re-auth attempt?
"""
if blink.auth_header is None:
raise BlinkException(ERROR.AUTH_TOKEN)
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loli/medpy | medpy/filter/image.py | sls | def sls(minuend, subtrahend, metric = "ssd", noise = "global", signed = True,
sn_size = None, sn_footprint = None, sn_mode = "reflect", sn_cval = 0.0,
pn_size = None, pn_footprint = None, pn_mode = "reflect", pn_cval = 0.0):
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Computes the signed local similarity between two images.
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sn_size = None, sn_footprint = None, sn_mode = "reflect", sn_cval = 0.0,
pn_size = None, pn_footprint = None, pn_mode = "reflect", pn_cval = 0.0):
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Computes the signed local similarity between two images.
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loli/medpy | medpy/filter/image.py | average_filter | def average_filter(input, size=None, footprint=None, output=None, mode="reflect", cval=0.0, origin=0):
r"""
Calculates a multi-dimensional average filter.
Parameters
----------
input : array-like
input array to filter
size : scalar or tuple, optional
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foo... | python | def average_filter(input, size=None, footprint=None, output=None, mode="reflect", cval=0.0, origin=0):
r"""
Calculates a multi-dimensional average filter.
Parameters
----------
input : array-like
input array to filter
size : scalar or tuple, optional
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loli/medpy | medpy/filter/image.py | sum_filter | def sum_filter(input, size=None, footprint=None, output=None, mode="reflect", cval=0.0, origin=0):
r"""
Calculates a multi-dimensional sum filter.
Parameters
----------
input : array-like
input array to filter
size : scalar or tuple, optional
See footprint, below
footprint :... | python | def sum_filter(input, size=None, footprint=None, output=None, mode="reflect", cval=0.0, origin=0):
r"""
Calculates a multi-dimensional sum filter.
Parameters
----------
input : array-like
input array to filter
size : scalar or tuple, optional
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loli/medpy | medpy/features/histogram.py | _gaussian_membership_sigma | def _gaussian_membership_sigma(smoothness, eps = 0.0005): # 275us @ smothness=10
r"""Compute the sigma required for a gaussian, such that in a neighbourhood of
smoothness the maximum error is 'eps'.
The error is here the difference between the clipped integral and one.
"""
error = 0
deltas = [0.... | python | def _gaussian_membership_sigma(smoothness, eps = 0.0005): # 275us @ smothness=10
r"""Compute the sigma required for a gaussian, such that in a neighbourhood of
smoothness the maximum error is 'eps'.
The error is here the difference between the clipped integral and one.
"""
error = 0
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loli/medpy | doc/numpydoc/numpydoc/plot_directive.py | out_of_date | def out_of_date(original, derived):
"""
Returns True if derivative is out-of-date wrt original,
both of which are full file paths.
"""
return (not os.path.exists(derived)
or os.stat(derived).st_mtime < os.stat(original).st_mtime) | python | def out_of_date(original, derived):
"""
Returns True if derivative is out-of-date wrt original,
both of which are full file paths.
"""
return (not os.path.exists(derived)
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loli/medpy | medpy/features/texture.py | local_maxima | def local_maxima(vector,min_distance = 4, brd_mode = "wrap"):
"""
Internal finder for local maxima .
Returns UNSORTED indices of maxima in input vector.
"""
fits = gaussian_filter(numpy.asarray(vector,dtype=numpy.float32),1., mode=brd_mode)
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if fits[ii] == fits... | python | def local_maxima(vector,min_distance = 4, brd_mode = "wrap"):
"""
Internal finder for local maxima .
Returns UNSORTED indices of maxima in input vector.
"""
fits = gaussian_filter(numpy.asarray(vector,dtype=numpy.float32),1., mode=brd_mode)
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"""
Internal finder for local minima .
Returns UNSORTED indices of minima in input vector.
"""
fits = gaussian_filter(numpy.asarray(vector,dtype=numpy.float32),1., mode=brd_mode)
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"""
Internal finder for local minima .
Returns UNSORTED indices of minima in input vector.
"""
fits = gaussian_filter(numpy.asarray(vector,dtype=numpy.float32),1., mode=brd_mode)
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loli/medpy | medpy/features/texture.py | find_valley_range | def find_valley_range(vector, min_distance = 4):
"""
Internal finder peaks and valley ranges.
Returns UNSORTED indices of maxima in input vector.
Returns range of valleys before and after maximum
"""
# http://users.monash.edu.au/~dengs/resource/papers/icme08.pdf
# find min and max with ... | python | def find_valley_range(vector, min_distance = 4):
"""
Internal finder peaks and valley ranges.
Returns UNSORTED indices of maxima in input vector.
Returns range of valleys before and after maximum
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# http://users.monash.edu.au/~dengs/resource/papers/icme08.pdf
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loli/medpy | medpy/filter/smoothing.py | gauss_xminus1d | def gauss_xminus1d(img, sigma, dim=2):
r"""
Applies a X-1D gauss to a copy of a XD image, slicing it along dim.
Essentially uses `scipy.ndimage.filters.gaussian_filter`, but
applies it to a dimension less than the image has.
Parameters
----------
img : array_like
The image to smoot... | python | def gauss_xminus1d(img, sigma, dim=2):
r"""
Applies a X-1D gauss to a copy of a XD image, slicing it along dim.
Essentially uses `scipy.ndimage.filters.gaussian_filter`, but
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loli/medpy | medpy/filter/smoothing.py | anisotropic_diffusion | def anisotropic_diffusion(img, niter=1, kappa=50, gamma=0.1, voxelspacing=None, option=1):
r"""
Edge-preserving, XD Anisotropic diffusion.
Parameters
----------
img : array_like
Input image (will be cast to numpy.float).
niter : integer
Number of iterations.
kappa : integer... | python | def anisotropic_diffusion(img, niter=1, kappa=50, gamma=0.1, voxelspacing=None, option=1):
r"""
Edge-preserving, XD Anisotropic diffusion.
Parameters
----------
img : array_like
Input image (will be cast to numpy.float).
niter : integer
Number of iterations.
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loli/medpy | medpy/graphcut/generate.py | __voxel_4conectedness | def __voxel_4conectedness(shape):
"""
Returns the number of edges for the supplied image shape assuming 4-connectedness.
The name of the function has historical reasons. Essentially it returns the number
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etc.
... | python | def __voxel_4conectedness(shape):
"""
Returns the number of edges for the supplied image shape assuming 4-connectedness.
The name of the function has historical reasons. Essentially it returns the number
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loli/medpy | medpy/graphcut/energy_voxel.py | __skeleton_base | def __skeleton_base(graph, image, boundary_term, neighbourhood_function, spacing):
"""
Base of the skeleton for voxel based boundary term calculation.
This function holds the low level procedures shared by nearly all boundary terms.
@param graph An initialized graph.GCGraph object
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"""
Base of the skeleton for voxel based boundary term calculation.
This function holds the low level procedures shared by nearly all boundary terms.
@param graph An initialized graph.GCGraph object
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loli/medpy | medpy/metric/image.py | __range | def __range(a, bins):
'''Compute the histogram range of the values in the array a according to
scipy.stats.histogram.'''
a = numpy.asarray(a)
a_max = a.max()
a_min = a.min()
s = 0.5 * (a_max - a_min) / float(bins - 1)
return (a_min - s, a_max + s) | python | def __range(a, bins):
'''Compute the histogram range of the values in the array a according to
scipy.stats.histogram.'''
a = numpy.asarray(a)
a_max = a.max()
a_min = a.min()
s = 0.5 * (a_max - a_min) / float(bins - 1)
return (a_min - s, a_max + s) | [
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loli/medpy | medpy/features/intensity.py | centerdistance | def centerdistance(image, voxelspacing = None, mask = slice(None)):
r"""
Takes a simple or multi-spectral image and returns its voxel-wise center distance in
mm. A multi-spectral image must be supplied as a list or tuple of its spectra.
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r"""
Takes a simple or multi-spectral image and returns its voxel-wise center distance in
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loli/medpy | medpy/features/intensity.py | mask_distance | def mask_distance(image, voxelspacing = None, mask = slice(None)):
r"""
Computes the distance of each point under the mask to the mask border taking the
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Note that this feature is independent of the actual image content, but depends
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loli/medpy | medpy/features/intensity.py | _extract_hemispheric_difference | def _extract_hemispheric_difference(image, mask = slice(None), sigma_active = 7, sigma_reference = 7, cut_plane = 0, voxelspacing = None):
"""
Internal, single-image version of `hemispheric_difference`.
"""
# constants
INTERPOLATION_RANGE = int(10) # how many neighbouring values to take into account... | python | def _extract_hemispheric_difference(image, mask = slice(None), sigma_active = 7, sigma_reference = 7, cut_plane = 0, voxelspacing = None):
"""
Internal, single-image version of `hemispheric_difference`.
"""
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loli/medpy | medpy/features/intensity.py | _extract_local_histogram | def _extract_local_histogram(image, mask=slice(None), bins=19, rang="image", cutoffp=(0.0, 100.0), size=None, footprint=None, output=None, mode="ignore", origin=0):
"""
Internal, single-image version of @see local_histogram
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Internal, single-image version of @see local_histogram
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loli/medpy | medpy/features/intensity.py | _extract_median | def _extract_median(image, mask = slice(None), size = 1, voxelspacing = None):
"""
Internal, single-image version of `median`.
"""
# set voxel spacing
if voxelspacing is None:
voxelspacing = [1.] * image.ndim
# determine structure element size in voxel units
size = _create_s... | python | def _extract_median(image, mask = slice(None), size = 1, voxelspacing = None):
"""
Internal, single-image version of `median`.
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"""
# set voxel spacing
if voxelspacing is None:
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# set voxel spacing
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loli/medpy | medpy/features/intensity.py | _extract_shifted_mean_gauss | def _extract_shifted_mean_gauss(image, mask = slice(None), offset = None, sigma = 1, voxelspacing = None):
"""
Internal, single-image version of `shifted_mean_gauss`.
"""
# set voxel spacing
if voxelspacing is None:
voxelspacing = [1.] * image.ndim
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"""
Internal, single-image version of `shifted_mean_gauss`.
"""
# set voxel spacing
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loli/medpy | medpy/features/intensity.py | _extract_mask_distance | def _extract_mask_distance(image, mask = slice(None), voxelspacing = None):
"""
Internal, single-image version of `mask_distance`.
"""
if isinstance(mask, slice):
mask = numpy.ones(image.shape, numpy.bool)
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retur... | python | def _extract_mask_distance(image, mask = slice(None), voxelspacing = None):
"""
Internal, single-image version of `mask_distance`.
"""
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mask = numpy.ones(image.shape, numpy.bool)
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loli/medpy | medpy/features/intensity.py | _extract_local_mean_gauss | def _extract_local_mean_gauss(image, mask = slice(None), sigma = 1, voxelspacing = None):
"""
Internal, single-image version of `local_mean_gauss`.
"""
# set voxel spacing
if voxelspacing is None:
voxelspacing = [1.] * image.ndim
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"""
Internal, single-image version of `local_mean_gauss`.
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# set voxel spacing
if voxelspacing is None:
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loli/medpy | medpy/features/intensity.py | _extract_centerdistance | def _extract_centerdistance(image, mask = slice(None), voxelspacing = None):
"""
Internal, single-image version of `centerdistance`.
"""
image = numpy.array(image, copy=False)
if None == voxelspacing:
voxelspacing = [1.] * image.ndim
# get image center and an array holding ... | python | def _extract_centerdistance(image, mask = slice(None), voxelspacing = None):
"""
Internal, single-image version of `centerdistance`.
"""
image = numpy.array(image, copy=False)
if None == voxelspacing:
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loli/medpy | medpy/features/intensity.py | _extract_intensities | def _extract_intensities(image, mask = slice(None)):
"""
Internal, single-image version of `intensities`.
"""
return numpy.array(image, copy=True)[mask].ravel() | python | def _extract_intensities(image, mask = slice(None)):
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Internal, single-image version of `intensities`.
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loli/medpy | medpy/features/intensity.py | _substract_hemispheres | def _substract_hemispheres(active, reference, active_sigma, reference_sigma, voxel_spacing):
"""
Helper function for `_extract_hemispheric_difference`.
Smoothes both images and then substracts the reference from the active image.
"""
active_kernel = _create_structure_array(active_sigma, voxel_spacin... | python | def _substract_hemispheres(active, reference, active_sigma, reference_sigma, voxel_spacing):
"""
Helper function for `_extract_hemispheric_difference`.
Smoothes both images and then substracts the reference from the active image.
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loli/medpy | doc/numpydoc/numpydoc/compiler_unparse.py | UnparseCompilerAst._dispatch | def _dispatch(self, tree):
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if tree.__class__.__name__ == 'NoneType' ... | python | def _dispatch(self, tree):
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loli/medpy | doc/numpydoc/numpydoc/compiler_unparse.py | UnparseCompilerAst._AssAttr | def _AssAttr(self, t):
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loli/medpy | doc/numpydoc/numpydoc/compiler_unparse.py | UnparseCompilerAst._Import | def _Import(self, t):
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loli/medpy | medpy/utilities/argparseu.py | __sequenceAscendingStrict | def __sequenceAscendingStrict(l):
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loli/medpy | medpy/filter/IntensityRangeStandardization.py | IntensityRangeStandardization.__check_mapping | def __check_mapping(self, landmarks):
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loli/medpy | medpy/filter/IntensityRangeStandardization.py | IntensityRangeStandardization.is_in_interval | def is_in_interval(n, l, r, border = 'included'):
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"""
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Checks whether a number is inside the interval l, r.
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loli/medpy | medpy/filter/IntensityRangeStandardization.py | IntensityRangeStandardization.are_in_interval | def are_in_interval(s, l, r, border = 'included'):
"""
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loli/medpy | medpy/filter/houghtransform.py | template_sphere | def template_sphere (radius, dimensions):
r"""
Returns a spherical binary structure of a of the supplied radius that can be used as
template input to the generalized hough transform.
Parameters
----------
radius : integer
The circles radius in voxels.
dimensions : integer
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r"""
Returns a spherical binary structure of a of the supplied radius that can be used as
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radius : integer
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loli/medpy | doc/numpydoc/numpydoc/traitsdoc.py | looks_like_issubclass | def looks_like_issubclass(obj, classname):
""" Return True if the object has a class or superclass with the given class
name.
Ignores old-style classes.
"""
t = obj
if t.__name__ == classname:
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re... | python | def looks_like_issubclass(obj, classname):
""" Return True if the object has a class or superclass with the given class
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loli/medpy | medpy/filter/utilities.py | __make_footprint | def __make_footprint(input, size, footprint):
"Creates a standard footprint element ala scipy.ndimage."
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raise RuntimeError("no footprint or filter size provided")
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"Creates a standard footprint element ala scipy.ndimage."
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loli/medpy | medpy/graphcut/energy_label.py | __check_label_image | def __check_label_image(label_image):
"""Check the label image for consistent labelling starting from 1."""
encountered_indices = scipy.unique(label_image)
expected_indices = scipy.arange(1, label_image.max() + 1)
if not encountered_indices.size == expected_indices.size or \
not (encountered_indi... | python | def __check_label_image(label_image):
"""Check the label image for consistent labelling starting from 1."""
encountered_indices = scipy.unique(label_image)
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loli/medpy | bin/medpy_graphcut_label_bgreduced.py | __xd_iterator_pass_on | def __xd_iterator_pass_on(arr, view, fun):
"""
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"""
# create list of iterations
iterations = [[None] if dim in view else list(range(arr.shape[dim])) for dim in range(arr.ndim)]
# iterate... | python | def __xd_iterator_pass_on(arr, view, fun):
"""
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"""
# create list of iterations
iterations = [[None] if dim in view else list(range(arr.shape[dim])) for dim in range(arr.ndim)]
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loli/medpy | medpy/io/header.py | set_pixel_spacing | def set_pixel_spacing(hdr, spacing):
r"""Depreciated synonym of `~medpy.io.header.set_voxel_spacing`."""
warnings.warn('get_pixel_spacing() is depreciated, use set_voxel_spacing() instead', category=DeprecationWarning)
set_voxel_spacing(hdr, spacing) | python | def set_pixel_spacing(hdr, spacing):
r"""Depreciated synonym of `~medpy.io.header.set_voxel_spacing`."""
warnings.warn('get_pixel_spacing() is depreciated, use set_voxel_spacing() instead', category=DeprecationWarning)
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loli/medpy | medpy/io/header.py | Header.copy_to | def copy_to(self, sitkimage):
"""
Copy all stored meta information info to an sitk Image.
Note that only the spacing and the offset/origin information
are guaranteed to be preserved, although the method also
tries to copy other meta information such as DICOM tags.
Param... | python | def copy_to(self, sitkimage):
"""
Copy all stored meta information info to an sitk Image.
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loli/medpy | medpy/io/header.py | Header.get_info_consistent | def get_info_consistent(self, ndim):
"""
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image dimensionality.
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----... | python | def get_info_consistent(self, ndim):
"""
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loli/medpy | medpy/metric/binary.py | hd95 | def hd95(result, reference, voxelspacing=None, connectivity=1):
"""
95th percentile of the Hausdorff Distance.
Computes the 95th percentile of the (symmetric) Hausdorff Distance (HD) between the binary objects in two
images. Compared to the Hausdorff Distance, this metric is slightly more stable to sma... | python | def hd95(result, reference, voxelspacing=None, connectivity=1):
"""
95th percentile of the Hausdorff Distance.
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"__sur... | 95th percentile of the Hausdorff Distance.
Computes the 95th percentile of the (symmetric) Hausdorff Distance (HD) between the binary objects in two
images. Compared to the Hausdorff Distance, this metric is slightly more stable to small outliers and is
commonly used in Biomedical Segmentation challenges.
... | [
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] | 95216b9e22e7ce301f0edf953ee2a2f1b6c6aee5 | https://github.com/loli/medpy/blob/95216b9e22e7ce301f0edf953ee2a2f1b6c6aee5/medpy/metric/binary.py#L354-L399 | train |
loli/medpy | medpy/metric/binary.py | __surface_distances | def __surface_distances(result, reference, voxelspacing=None, connectivity=1):
"""
The distances between the surface voxel of binary objects in result and their
nearest partner surface voxel of a binary object in reference.
"""
result = numpy.atleast_1d(result.astype(numpy.bool))
reference = num... | python | def __surface_distances(result, reference, voxelspacing=None, connectivity=1):
"""
The distances between the surface voxel of binary objects in result and their
nearest partner surface voxel of a binary object in reference.
"""
result = numpy.atleast_1d(result.astype(numpy.bool))
reference = num... | [
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loli/medpy | medpy/metric/histogram.py | __minowski_low_positive_integer_p | def __minowski_low_positive_integer_p(h1, h2, p = 2): # 11..43 us for p = 1..24 \w 100 bins
"""
A faster implementation of the Minowski distance for positive integer < 25.
@note do not use this function directly, but the general @link minowski() method.
@note the passed histograms must be scipy arrays.
... | python | def __minowski_low_positive_integer_p(h1, h2, p = 2): # 11..43 us for p = 1..24 \w 100 bins
"""
A faster implementation of the Minowski distance for positive integer < 25.
@note do not use this function directly, but the general @link minowski() method.
@note the passed histograms must be scipy arrays.
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loli/medpy | medpy/metric/histogram.py | __kullback_leibler | def __kullback_leibler(h1, h2): # 36.3 us
"""
The actual KL implementation. @see kullback_leibler() for details.
Expects the histograms to be of type scipy.ndarray.
"""
result = h1.astype(scipy.float_)
mask = h1 != 0
result[mask] = scipy.multiply(h1[mask], scipy.log(h1[mask] / h2[mask]))
... | python | def __kullback_leibler(h1, h2): # 36.3 us
"""
The actual KL implementation. @see kullback_leibler() for details.
Expects the histograms to be of type scipy.ndarray.
"""
result = h1.astype(scipy.float_)
mask = h1 != 0
result[mask] = scipy.multiply(h1[mask], scipy.log(h1[mask] / h2[mask]))
... | [
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] | 95216b9e22e7ce301f0edf953ee2a2f1b6c6aee5 | https://github.com/loli/medpy/blob/95216b9e22e7ce301f0edf953ee2a2f1b6c6aee5/medpy/metric/histogram.py#L562-L570 | train |
loli/medpy | medpy/metric/histogram.py | __prepare_histogram | def __prepare_histogram(h1, h2):
"""Convert the histograms to scipy.ndarrays if required."""
h1 = h1 if scipy.ndarray == type(h1) else scipy.asarray(h1)
h2 = h2 if scipy.ndarray == type(h2) else scipy.asarray(h2)
if h1.shape != h2.shape or h1.size != h2.size:
raise ValueError('h1 and h2 must be ... | python | def __prepare_histogram(h1, h2):
"""Convert the histograms to scipy.ndarrays if required."""
h1 = h1 if scipy.ndarray == type(h1) else scipy.asarray(h1)
h2 = h2 if scipy.ndarray == type(h2) else scipy.asarray(h2)
if h1.shape != h2.shape or h1.size != h2.size:
raise ValueError('h1 and h2 must be ... | [
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minrk/findspark | findspark.py | find | def find():
"""Find a local spark installation.
Will first check the SPARK_HOME env variable, and otherwise
search common installation locations, e.g. from homebrew
"""
spark_home = os.environ.get('SPARK_HOME', None)
if not spark_home:
for path in [
'/usr/local/opt/apache-s... | python | def find():
"""Find a local spark installation.
Will first check the SPARK_HOME env variable, and otherwise
search common installation locations, e.g. from homebrew
"""
spark_home = os.environ.get('SPARK_HOME', None)
if not spark_home:
for path in [
'/usr/local/opt/apache-s... | [
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] | 20c945d5136269ca56b1341786c49087faa7c75e | https://github.com/minrk/findspark/blob/20c945d5136269ca56b1341786c49087faa7c75e/findspark.py#L14-L38 | train |
minrk/findspark | findspark.py | change_rc | def change_rc(spark_home, spark_python, py4j):
"""Persists changes to environment by changing shell config.
Adds lines to .bashrc to set environment variables
including the adding of dependencies to the system path. Will only
edit this file if they already exist. Currently only works for bash.
Par... | python | def change_rc(spark_home, spark_python, py4j):
"""Persists changes to environment by changing shell config.
Adds lines to .bashrc to set environment variables
including the adding of dependencies to the system path. Will only
edit this file if they already exist. Currently only works for bash.
Par... | [
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Adds lines to .bashrc to set environment variables
including the adding of dependencies to the system path. Will only
edit this file if they already exist. Currently only works for bash.
Parameters
----------
spark_home : str
Pa... | [
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] | 20c945d5136269ca56b1341786c49087faa7c75e | https://github.com/minrk/findspark/blob/20c945d5136269ca56b1341786c49087faa7c75e/findspark.py#L41-L65 | train |
minrk/findspark | findspark.py | edit_ipython_profile | def edit_ipython_profile(spark_home, spark_python, py4j):
"""Adds a startup file to the current IPython profile to import pyspark.
The startup file sets the required environment variables and imports pyspark.
Parameters
----------
spark_home : str
Path to Spark installation.
spark_pyth... | python | def edit_ipython_profile(spark_home, spark_python, py4j):
"""Adds a startup file to the current IPython profile to import pyspark.
The startup file sets the required environment variables and imports pyspark.
Parameters
----------
spark_home : str
Path to Spark installation.
spark_pyth... | [
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The startup file sets the required environment variables and imports pyspark.
Parameters
----------
spark_home : str
Path to Spark installation.
spark_python : str
Path to python subdirectory of Spark installatio... | [
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minrk/findspark | findspark.py | init | def init(spark_home=None, python_path=None, edit_rc=False, edit_profile=False):
"""Make pyspark importable.
Sets environment variables and adds dependencies to sys.path.
If no Spark location is provided, will try to find an installation.
Parameters
----------
spark_home : str, optional, defaul... | python | def init(spark_home=None, python_path=None, edit_rc=False, edit_profile=False):
"""Make pyspark importable.
Sets environment variables and adds dependencies to sys.path.
If no Spark location is provided, will try to find an installation.
Parameters
----------
spark_home : str, optional, defaul... | [
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Sets environment variables and adds dependencies to sys.path.
If no Spark location is provided, will try to find an installation.
Parameters
----------
spark_home : str, optional, default = None
Path to Spark installation, will try to find automatically
if ... | [
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] | 20c945d5136269ca56b1341786c49087faa7c75e | https://github.com/minrk/findspark/blob/20c945d5136269ca56b1341786c49087faa7c75e/findspark.py#L101-L147 | train |
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