repository_name stringlengths 5 67 | func_path_in_repository stringlengths 4 234 | func_name stringlengths 0 314 | whole_func_string stringlengths 52 3.87M | language stringclasses 6
values | func_code_string stringlengths 52 3.87M | func_documentation_string stringlengths 1 47.2k | func_code_url stringlengths 85 339 |
|---|---|---|---|---|---|---|---|
linode/linode_api4-python | linode_api4/linode_client.py | ProfileGroup.ssh_key_upload | def ssh_key_upload(self, key, label):
"""
Uploads a new SSH Public Key to your profile This key can be used in
later Linode deployments.
:param key: The ssh key, or a path to the ssh key. If a path is provided,
the file at the path must exist and be readable or an ... | python | def ssh_key_upload(self, key, label):
"""
Uploads a new SSH Public Key to your profile This key can be used in
later Linode deployments.
:param key: The ssh key, or a path to the ssh key. If a path is provided,
the file at the path must exist and be readable or an ... | Uploads a new SSH Public Key to your profile This key can be used in
later Linode deployments.
:param key: The ssh key, or a path to the ssh key. If a path is provided,
the file at the path must exist and be readable or an exception
will be thrown.
:typ... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L392-L430 |
linode/linode_api4-python | linode_api4/linode_client.py | LongviewGroup.client_create | def client_create(self, label=None):
"""
Creates a new LongviewClient, optionally with a given label.
:param label: The label for the new client. If None, a default label based
on the new client's ID will be used.
:returns: A new LongviewClient
:raises ApiError: I... | python | def client_create(self, label=None):
"""
Creates a new LongviewClient, optionally with a given label.
:param label: The label for the new client. If None, a default label based
on the new client's ID will be used.
:returns: A new LongviewClient
:raises ApiError: I... | Creates a new LongviewClient, optionally with a given label.
:param label: The label for the new client. If None, a default label based
on the new client's ID will be used.
:returns: A new LongviewClient
:raises ApiError: If a non-200 status code is returned
:raises Unexp... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L441-L463 |
linode/linode_api4-python | linode_api4/linode_client.py | AccountGroup.events_mark_seen | def events_mark_seen(self, event):
"""
Marks event as the last event we have seen. If event is an int, it is treated
as an event_id, otherwise it should be an event object whose id will be used.
"""
last_seen = event if isinstance(event, int) else event.id
self.client.po... | python | def events_mark_seen(self, event):
"""
Marks event as the last event we have seen. If event is an int, it is treated
as an event_id, otherwise it should be an event object whose id will be used.
"""
last_seen = event if isinstance(event, int) else event.id
self.client.po... | Marks event as the last event we have seen. If event is an int, it is treated
as an event_id, otherwise it should be an event object whose id will be used. | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L495-L501 |
linode/linode_api4-python | linode_api4/linode_client.py | AccountGroup.settings | def settings(self):
"""
Resturns the account settings data for this acocunt. This is not a
listing endpoint.
"""
result = self.client.get('/account/settings')
if not 'managed' in result:
raise UnexpectedResponseError('Unexpected response when getting accoun... | python | def settings(self):
"""
Resturns the account settings data for this acocunt. This is not a
listing endpoint.
"""
result = self.client.get('/account/settings')
if not 'managed' in result:
raise UnexpectedResponseError('Unexpected response when getting accoun... | Resturns the account settings data for this acocunt. This is not a
listing endpoint. | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L503-L515 |
linode/linode_api4-python | linode_api4/linode_client.py | AccountGroup.oauth_client_create | def oauth_client_create(self, name, redirect_uri, **kwargs):
"""
Make a new OAuth Client and return it
"""
params = {
"label": name,
"redirect_uri": redirect_uri,
}
params.update(kwargs)
result = self.client.post('/account/oauth-clients', ... | python | def oauth_client_create(self, name, redirect_uri, **kwargs):
"""
Make a new OAuth Client and return it
"""
params = {
"label": name,
"redirect_uri": redirect_uri,
}
params.update(kwargs)
result = self.client.post('/account/oauth-clients', ... | Make a new OAuth Client and return it | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L535-L552 |
linode/linode_api4-python | linode_api4/linode_client.py | AccountGroup.transfer | def transfer(self):
"""
Returns a MappedObject containing the account's transfer pool data
"""
result = self.client.get('/account/transfer')
if not 'used' in result:
raise UnexpectedResponseError('Unexpected response when getting Transfer Pool!')
return Mapp... | python | def transfer(self):
"""
Returns a MappedObject containing the account's transfer pool data
"""
result = self.client.get('/account/transfer')
if not 'used' in result:
raise UnexpectedResponseError('Unexpected response when getting Transfer Pool!')
return Mapp... | Returns a MappedObject containing the account's transfer pool data | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L560-L569 |
linode/linode_api4-python | linode_api4/linode_client.py | AccountGroup.user_create | def user_create(self, email, username, restricted=True):
"""
Creates a new user on your account. If you create an unrestricted user,
they will immediately be able to access everything on your account. If
you create a restricted user, you must grant them access to parts of your
... | python | def user_create(self, email, username, restricted=True):
"""
Creates a new user on your account. If you create an unrestricted user,
they will immediately be able to access everything on your account. If
you create a restricted user, you must grant them access to parts of your
... | Creates a new user on your account. If you create an unrestricted user,
they will immediately be able to access everything on your account. If
you create a restricted user, you must grant them access to parts of your
account that you want to allow them to manage (see :any:`User.grants` for
... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L571-L608 |
linode/linode_api4-python | linode_api4/linode_client.py | NetworkingGroup.ips_assign | def ips_assign(self, region, *assignments):
"""
Redistributes :any:`IP Addressees<IPAddress>` within a single region.
This function takes a :any:`Region` and a list of assignments to make,
then requests that the assignments take place. If any :any:`Instance`
ends up without a pu... | python | def ips_assign(self, region, *assignments):
"""
Redistributes :any:`IP Addressees<IPAddress>` within a single region.
This function takes a :any:`Region` and a list of assignments to make,
then requests that the assignments take place. If any :any:`Instance`
ends up without a pu... | Redistributes :any:`IP Addressees<IPAddress>` within a single region.
This function takes a :any:`Region` and a list of assignments to make,
then requests that the assignments take place. If any :any:`Instance`
ends up without a public IP, or with more than one private IP, all of
the as... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L620-L656 |
linode/linode_api4-python | linode_api4/linode_client.py | NetworkingGroup.ip_allocate | def ip_allocate(self, linode, public=True):
"""
Allocates an IP to a Instance you own. Additional IPs must be requested
by opening a support ticket first.
:param linode: The Instance to allocate the new IP for.
:type linode: Instance or int
:param public: If True, alloc... | python | def ip_allocate(self, linode, public=True):
"""
Allocates an IP to a Instance you own. Additional IPs must be requested
by opening a support ticket first.
:param linode: The Instance to allocate the new IP for.
:type linode: Instance or int
:param public: If True, alloc... | Allocates an IP to a Instance you own. Additional IPs must be requested
by opening a support ticket first.
:param linode: The Instance to allocate the new IP for.
:type linode: Instance or int
:param public: If True, allocate a public IP address. Defaults to True.
:type public... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L658-L682 |
linode/linode_api4-python | linode_api4/linode_client.py | NetworkingGroup.shared_ips | def shared_ips(self, linode, *ips):
"""
Shares the given list of :any:`IPAddresses<IPAddress>` with the provided
:any:`Instance`. This will enable the provided Instance to bring up the
shared IP Addresses even though it does not own them.
:param linode: The Instance to share th... | python | def shared_ips(self, linode, *ips):
"""
Shares the given list of :any:`IPAddresses<IPAddress>` with the provided
:any:`Instance`. This will enable the provided Instance to bring up the
shared IP Addresses even though it does not own them.
:param linode: The Instance to share th... | Shares the given list of :any:`IPAddresses<IPAddress>` with the provided
:any:`Instance`. This will enable the provided Instance to bring up the
shared IP Addresses even though it does not own them.
:param linode: The Instance to share the IPAddresses with. This Instance
... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L684-L716 |
linode/linode_api4-python | linode_api4/linode_client.py | LinodeClient.load | def load(self, target_type, target_id, target_parent_id=None):
"""
Constructs and immediately loads the object, circumventing the
lazy-loading scheme by immediately making an API request. Does not
load related objects.
For example, if you wanted to load an :any:`Instance` objec... | python | def load(self, target_type, target_id, target_parent_id=None):
"""
Constructs and immediately loads the object, circumventing the
lazy-loading scheme by immediately making an API request. Does not
load related objects.
For example, if you wanted to load an :any:`Instance` objec... | Constructs and immediately loads the object, circumventing the
lazy-loading scheme by immediately making an API request. Does not
load related objects.
For example, if you wanted to load an :any:`Instance` object with ID 123,
you could do this::
loaded_linode = client.load(... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L808-L839 |
linode/linode_api4-python | linode_api4/linode_client.py | LinodeClient._api_call | def _api_call(self, endpoint, model=None, method=None, data=None, filters=None):
"""
Makes a call to the linode api. Data should only be given if the method is
POST or PUT, and should be a dictionary
"""
if not self.token:
raise RuntimeError("You do not have an API t... | python | def _api_call(self, endpoint, model=None, method=None, data=None, filters=None):
"""
Makes a call to the linode api. Data should only be given if the method is
POST or PUT, and should be a dictionary
"""
if not self.token:
raise RuntimeError("You do not have an API t... | Makes a call to the linode api. Data should only be given if the method is
POST or PUT, and should be a dictionary | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L841-L892 |
linode/linode_api4-python | linode_api4/linode_client.py | LinodeClient.image_create | def image_create(self, disk, label=None, description=None):
"""
Creates a new Image from a disk you own.
:param disk: The Disk to imagize.
:type disk: Disk or int
:param label: The label for the resulting Image (defaults to the disk's
label.
:type l... | python | def image_create(self, disk, label=None, description=None):
"""
Creates a new Image from a disk you own.
:param disk: The Disk to imagize.
:type disk: Disk or int
:param label: The label for the resulting Image (defaults to the disk's
label.
:type l... | Creates a new Image from a disk you own.
:param disk: The Disk to imagize.
:type disk: Disk or int
:param label: The label for the resulting Image (defaults to the disk's
label.
:type label: str
:param description: The description for the new Image.
... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L950-L981 |
linode/linode_api4-python | linode_api4/linode_client.py | LinodeClient.nodebalancer_create | def nodebalancer_create(self, region, **kwargs):
"""
Creates a new NodeBalancer in the given Region.
:param region: The Region in which to create the NodeBalancer.
:type region: Region or str
:returns: The new NodeBalancer
:rtype: NodeBalancer
"""
params... | python | def nodebalancer_create(self, region, **kwargs):
"""
Creates a new NodeBalancer in the given Region.
:param region: The Region in which to create the NodeBalancer.
:type region: Region or str
:returns: The new NodeBalancer
:rtype: NodeBalancer
"""
params... | Creates a new NodeBalancer in the given Region.
:param region: The Region in which to create the NodeBalancer.
:type region: Region or str
:returns: The new NodeBalancer
:rtype: NodeBalancer | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L1005-L1026 |
linode/linode_api4-python | linode_api4/linode_client.py | LinodeClient.domain_create | def domain_create(self, domain, master=True, **kwargs):
"""
Registers a new Domain on the acting user's account. Make sure to point
your registrar to Linode's nameservers so that Linode's DNS manager will
correctly serve your domain.
:param domain: The domain to register to Lin... | python | def domain_create(self, domain, master=True, **kwargs):
"""
Registers a new Domain on the acting user's account. Make sure to point
your registrar to Linode's nameservers so that Linode's DNS manager will
correctly serve your domain.
:param domain: The domain to register to Lin... | Registers a new Domain on the acting user's account. Make sure to point
your registrar to Linode's nameservers so that Linode's DNS manager will
correctly serve your domain.
:param domain: The domain to register to Linode's DNS manager.
:type domain: str
:param master: Whether ... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L1028-L1054 |
linode/linode_api4-python | linode_api4/linode_client.py | LinodeClient.tag_create | def tag_create(self, label, instances=None, domains=None, nodebalancers=None,
volumes=None, entities=[]):
"""
Creates a new Tag and optionally applies it to the given entities.
:param label: The label for the new Tag
:type label: str
:param entities: A list of... | python | def tag_create(self, label, instances=None, domains=None, nodebalancers=None,
volumes=None, entities=[]):
"""
Creates a new Tag and optionally applies it to the given entities.
:param label: The label for the new Tag
:type label: str
:param entities: A list of... | Creates a new Tag and optionally applies it to the given entities.
:param label: The label for the new Tag
:type label: str
:param entities: A list of objects to apply this Tag to upon creation.
May only be taggable types (Linode Instances, Domains,
... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L1068-L1143 |
linode/linode_api4-python | linode_api4/linode_client.py | LinodeClient.volume_create | def volume_create(self, label, region=None, linode=None, size=20, **kwargs):
"""
Creates a new Block Storage Volume, either in the given Region or
attached to the given Instance.
:param label: The label for the new Volume.
:type label: str
:param region: The Region to cr... | python | def volume_create(self, label, region=None, linode=None, size=20, **kwargs):
"""
Creates a new Block Storage Volume, either in the given Region or
attached to the given Instance.
:param label: The label for the new Volume.
:type label: str
:param region: The Region to cr... | Creates a new Block Storage Volume, either in the given Region or
attached to the given Instance.
:param label: The label for the new Volume.
:type label: str
:param region: The Region to create this Volume in. Not required if
`linode` is provided.
:type ... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L1156-L1192 |
linode/linode_api4-python | linode_api4/login_client.py | LinodeLoginClient.generate_login_url | def generate_login_url(self, scopes=None, redirect_uri=None):
"""
Generates a url to send users so that they may authenticate to this
application. This url is suitable for redirecting a user to. For
example, in `Flask`_, a login route might be implemented like this::
@app.r... | python | def generate_login_url(self, scopes=None, redirect_uri=None):
"""
Generates a url to send users so that they may authenticate to this
application. This url is suitable for redirecting a user to. For
example, in `Flask`_, a login route might be implemented like this::
@app.r... | Generates a url to send users so that they may authenticate to this
application. This url is suitable for redirecting a user to. For
example, in `Flask`_, a login route might be implemented like this::
@app.route("/login")
def begin_oauth_login():
login_client = L... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/login_client.py#L295-L329 |
linode/linode_api4-python | linode_api4/login_client.py | LinodeLoginClient.finish_oauth | def finish_oauth(self, code):
"""
Given an OAuth Exchange Code, completes the OAuth exchange with the
authentication server. This should be called once the user has already
been directed to the login_uri, and has been sent back after successfully
authenticating. For example, in... | python | def finish_oauth(self, code):
"""
Given an OAuth Exchange Code, completes the OAuth exchange with the
authentication server. This should be called once the user has already
been directed to the login_uri, and has been sent back after successfully
authenticating. For example, in... | Given an OAuth Exchange Code, completes the OAuth exchange with the
authentication server. This should be called once the user has already
been directed to the login_uri, and has been sent back after successfully
authenticating. For example, in `Flask`_, this might be implemented as
a ... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/login_client.py#L331-L378 |
linode/linode_api4-python | linode_api4/login_client.py | LinodeLoginClient.expire_token | def expire_token(self, token):
"""
Given a token, makes a request to the authentication server to expire
it immediately. This is considered a responsible way to log out a
user. If you simply remove the session your application has for the
user without expiring their token, the ... | python | def expire_token(self, token):
"""
Given a token, makes a request to the authentication server to expire
it immediately. This is considered a responsible way to log out a
user. If you simply remove the session your application has for the
user without expiring their token, the ... | Given a token, makes a request to the authentication server to expire
it immediately. This is considered a responsible way to log out a
user. If you simply remove the session your application has for the
user without expiring their token, the user is not _really_ logged out.
:param to... | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/login_client.py#L417-L441 |
linode/linode_api4-python | linode_api4/objects/profile.py | Profile.grants | def grants(self):
"""
Returns grants for the current user
"""
from linode_api4.objects.account import UserGrants
resp = self._client.get('/profile/grants') # use special endpoint for restricted users
grants = None
if resp is not None:
# if resp is Non... | python | def grants(self):
"""
Returns grants for the current user
"""
from linode_api4.objects.account import UserGrants
resp = self._client.get('/profile/grants') # use special endpoint for restricted users
grants = None
if resp is not None:
# if resp is Non... | Returns grants for the current user | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/objects/profile.py#L91-L103 |
linode/linode_api4-python | linode_api4/objects/profile.py | Profile.add_whitelist_entry | def add_whitelist_entry(self, address, netmask, note=None):
"""
Adds a new entry to this user's IP whitelist, if enabled
"""
result = self._client.post("{}/whitelist".format(Profile.api_endpoint),
data={
"address": address,
"netmask... | python | def add_whitelist_entry(self, address, netmask, note=None):
"""
Adds a new entry to this user's IP whitelist, if enabled
"""
result = self._client.post("{}/whitelist".format(Profile.api_endpoint),
data={
"address": address,
"netmask... | Adds a new entry to this user's IP whitelist, if enabled | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/objects/profile.py#L112-L126 |
tmm/django-username-email | cuser/forms.py | AuthenticationForm.confirm_login_allowed | def confirm_login_allowed(self, user):
"""
Controls whether the given User may log in. This is a policy setting,
independent of end-user authentication. This default behavior is to
allow login by active users, and reject login by inactive users.
If the given user cannot log in, ... | python | def confirm_login_allowed(self, user):
"""
Controls whether the given User may log in. This is a policy setting,
independent of end-user authentication. This default behavior is to
allow login by active users, and reject login by inactive users.
If the given user cannot log in, ... | Controls whether the given User may log in. This is a policy setting,
independent of end-user authentication. This default behavior is to
allow login by active users, and reject login by inactive users.
If the given user cannot log in, this method should raise a
``forms.ValidationError`... | https://github.com/tmm/django-username-email/blob/36e56bcbf79d46af101ba4c8f4bd848856306329/cuser/forms.py#L68-L83 |
dwavesystems/dwave-system | dwave/embedding/chain_breaks.py | broken_chains | def broken_chains(samples, chains):
"""Find the broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
... | python | def broken_chains(samples, chains):
"""Find the broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
... | Find the broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
List of chains of length nC where nC... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/chain_breaks.py#L33-L88 |
dwavesystems/dwave-system | dwave/embedding/chain_breaks.py | discard | def discard(samples, chains):
"""Discard broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
... | python | def discard(samples, chains):
"""Discard broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
... | Discard broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
List of chains of length nC where nC ... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/chain_breaks.py#L91-L142 |
dwavesystems/dwave-system | dwave/embedding/chain_breaks.py | majority_vote | def majority_vote(samples, chains):
"""Use the most common element in broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (li... | python | def majority_vote(samples, chains):
"""Use the most common element in broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (li... | Use the most common element in broken chains.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
List of chains... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/chain_breaks.py#L145-L206 |
dwavesystems/dwave-system | dwave/embedding/chain_breaks.py | weighted_random | def weighted_random(samples, chains):
"""Determine the sample values of chains by weighed random choice.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.... | python | def weighted_random(samples, chains):
"""Determine the sample values of chains by weighed random choice.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.... | Determine the sample values of chains by weighed random choice.
Args:
samples (array_like):
Samples as a nS x nV array_like object where nS is the number of samples and nV is the
number of variables. The values should all be 0/1 or -1/+1.
chains (list[array_like]):
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/chain_breaks.py#L209-L256 |
dwavesystems/dwave-system | dwave/system/samplers/dwave_sampler.py | DWaveSampler.sample_ising | def sample_ising(self, h, J, **kwargs):
"""Sample from the specified Ising model.
Args:
h (list/dict):
Linear biases of the Ising model. If a list, the list's indices are
used as variable labels.
J (dict[(int, int): float]):
Quadr... | python | def sample_ising(self, h, J, **kwargs):
"""Sample from the specified Ising model.
Args:
h (list/dict):
Linear biases of the Ising model. If a list, the list's indices are
used as variable labels.
J (dict[(int, int): float]):
Quadr... | Sample from the specified Ising model.
Args:
h (list/dict):
Linear biases of the Ising model. If a list, the list's indices are
used as variable labels.
J (dict[(int, int): float]):
Quadratic biases of the Ising model.
**kwar... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/samplers/dwave_sampler.py#L226-L273 |
dwavesystems/dwave-system | dwave/system/samplers/dwave_sampler.py | DWaveSampler.sample_qubo | def sample_qubo(self, Q, **kwargs):
"""Sample from the specified QUBO.
Args:
Q (dict):
Coefficients of a quadratic unconstrained binary optimization (QUBO) model.
**kwargs:
Optional keyword arguments for the sampling method, specified per solver ... | python | def sample_qubo(self, Q, **kwargs):
"""Sample from the specified QUBO.
Args:
Q (dict):
Coefficients of a quadratic unconstrained binary optimization (QUBO) model.
**kwargs:
Optional keyword arguments for the sampling method, specified per solver ... | Sample from the specified QUBO.
Args:
Q (dict):
Coefficients of a quadratic unconstrained binary optimization (QUBO) model.
**kwargs:
Optional keyword arguments for the sampling method, specified per solver in
:attr:`.DWaveSampler.paramet... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/samplers/dwave_sampler.py#L275-L316 |
dwavesystems/dwave-system | dwave/system/samplers/dwave_sampler.py | DWaveSampler.validate_anneal_schedule | def validate_anneal_schedule(self, anneal_schedule):
"""Raise an exception if the specified schedule is invalid for the sampler.
Args:
anneal_schedule (list):
An anneal schedule variation is defined by a series of pairs of floating-point
numbers identifying p... | python | def validate_anneal_schedule(self, anneal_schedule):
"""Raise an exception if the specified schedule is invalid for the sampler.
Args:
anneal_schedule (list):
An anneal schedule variation is defined by a series of pairs of floating-point
numbers identifying p... | Raise an exception if the specified schedule is invalid for the sampler.
Args:
anneal_schedule (list):
An anneal schedule variation is defined by a series of pairs of floating-point
numbers identifying points in the schedule at which to change slope. The first
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/samplers/dwave_sampler.py#L318-L412 |
dwavesystems/dwave-system | dwave/embedding/utils.py | target_to_source | def target_to_source(target_adjacency, embedding):
"""Derive the source adjacency from an embedding and target adjacency.
Args:
target_adjacency (dict/:class:`networkx.Graph`):
A dict of the form {v: Nv, ...} where v is a node in the target graph and Nv is the
neighbors of v as ... | python | def target_to_source(target_adjacency, embedding):
"""Derive the source adjacency from an embedding and target adjacency.
Args:
target_adjacency (dict/:class:`networkx.Graph`):
A dict of the form {v: Nv, ...} where v is a node in the target graph and Nv is the
neighbors of v as ... | Derive the source adjacency from an embedding and target adjacency.
Args:
target_adjacency (dict/:class:`networkx.Graph`):
A dict of the form {v: Nv, ...} where v is a node in the target graph and Nv is the
neighbors of v as an iterable. This can also be a networkx graph.
e... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/utils.py#L30-L95 |
dwavesystems/dwave-system | dwave/embedding/utils.py | chain_to_quadratic | def chain_to_quadratic(chain, target_adjacency, chain_strength):
"""Determine the quadratic biases that induce the given chain.
Args:
chain (iterable):
The variables that make up a chain.
target_adjacency (dict/:class:`networkx.Graph`):
Should be a dict of the form {s: ... | python | def chain_to_quadratic(chain, target_adjacency, chain_strength):
"""Determine the quadratic biases that induce the given chain.
Args:
chain (iterable):
The variables that make up a chain.
target_adjacency (dict/:class:`networkx.Graph`):
Should be a dict of the form {s: ... | Determine the quadratic biases that induce the given chain.
Args:
chain (iterable):
The variables that make up a chain.
target_adjacency (dict/:class:`networkx.Graph`):
Should be a dict of the form {s: Ns, ...} where s is a variable
in the target graph and Ns is... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/utils.py#L98-L150 |
dwavesystems/dwave-system | dwave/embedding/utils.py | chain_break_frequency | def chain_break_frequency(samples_like, embedding):
"""Determine the frequency of chain breaks in the given samples.
Args:
samples_like (samples_like/:obj:`dimod.SampleSet`):
A collection of raw samples. 'samples_like' is an extension of NumPy's array_like.
See :func:`dimod.as_s... | python | def chain_break_frequency(samples_like, embedding):
"""Determine the frequency of chain breaks in the given samples.
Args:
samples_like (samples_like/:obj:`dimod.SampleSet`):
A collection of raw samples. 'samples_like' is an extension of NumPy's array_like.
See :func:`dimod.as_s... | Determine the frequency of chain breaks in the given samples.
Args:
samples_like (samples_like/:obj:`dimod.SampleSet`):
A collection of raw samples. 'samples_like' is an extension of NumPy's array_like.
See :func:`dimod.as_samples`.
embedding (dict):
Mapping fro... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/utils.py#L153-L216 |
dwavesystems/dwave-system | dwave/embedding/utils.py | edgelist_to_adjacency | def edgelist_to_adjacency(edgelist):
"""Converts an iterator of edges to an adjacency dict.
Args:
edgelist (iterable):
An iterator over 2-tuples where each 2-tuple is an edge.
Returns:
dict: The adjacency dict. A dict of the form {v: Nv, ...} where v is a node in a graph and
... | python | def edgelist_to_adjacency(edgelist):
"""Converts an iterator of edges to an adjacency dict.
Args:
edgelist (iterable):
An iterator over 2-tuples where each 2-tuple is an edge.
Returns:
dict: The adjacency dict. A dict of the form {v: Nv, ...} where v is a node in a graph and
... | Converts an iterator of edges to an adjacency dict.
Args:
edgelist (iterable):
An iterator over 2-tuples where each 2-tuple is an edge.
Returns:
dict: The adjacency dict. A dict of the form {v: Nv, ...} where v is a node in a graph and
Nv is the neighbors of v as an set. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/utils.py#L219-L241 |
dwavesystems/dwave-system | dwave/system/composites/tiling.py | TilingComposite.sample | def sample(self, bqm, **kwargs):
"""Sample from the specified binary quadratic model.
Args:
bqm (:obj:`dimod.BinaryQuadraticModel`):
Binary quadratic model to be sampled from.
**kwargs:
Optional keyword arguments for the sampling method, specifie... | python | def sample(self, bqm, **kwargs):
"""Sample from the specified binary quadratic model.
Args:
bqm (:obj:`dimod.BinaryQuadraticModel`):
Binary quadratic model to be sampled from.
**kwargs:
Optional keyword arguments for the sampling method, specifie... | Sample from the specified binary quadratic model.
Args:
bqm (:obj:`dimod.BinaryQuadraticModel`):
Binary quadratic model to be sampled from.
**kwargs:
Optional keyword arguments for the sampling method, specified per solver.
Returns:
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/tiling.py#L199-L250 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | cache_connect | def cache_connect(database=None):
"""Returns a connection object to a sqlite database.
Args:
database (str, optional): The path to the database the user wishes
to connect to. If not specified, a default is chosen using
:func:`.cache_file`. If the special database name ':memory:'... | python | def cache_connect(database=None):
"""Returns a connection object to a sqlite database.
Args:
database (str, optional): The path to the database the user wishes
to connect to. If not specified, a default is chosen using
:func:`.cache_file`. If the special database name ':memory:'... | Returns a connection object to a sqlite database.
Args:
database (str, optional): The path to the database the user wishes
to connect to. If not specified, a default is chosen using
:func:`.cache_file`. If the special database name ':memory:'
is given, then a temporary d... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L37-L67 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | insert_chain | def insert_chain(cur, chain, encoded_data=None):
"""Insert a chain into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
chain (iterable):
A collection of nodes. Chains in embedding act a... | python | def insert_chain(cur, chain, encoded_data=None):
"""Insert a chain into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
chain (iterable):
A collection of nodes. Chains in embedding act a... | Insert a chain into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
chain (iterable):
A collection of nodes. Chains in embedding act as one node.
encoded_data (dict, optional):
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L70-L98 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | iter_chain | def iter_chain(cur):
"""Iterate over all of the chains in the database.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
Yields:
list: The chain.
"""
select = "SELECT nodes FROM chain"
for node... | python | def iter_chain(cur):
"""Iterate over all of the chains in the database.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
Yields:
list: The chain.
"""
select = "SELECT nodes FROM chain"
for node... | Iterate over all of the chains in the database.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
Yields:
list: The chain. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L101-L114 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | insert_system | def insert_system(cur, system_name, encoded_data=None):
"""Insert a system name into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
system_name (str):
The unique name of a system
... | python | def insert_system(cur, system_name, encoded_data=None):
"""Insert a system name into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
system_name (str):
The unique name of a system
... | Insert a system name into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
system_name (str):
The unique name of a system
encoded_data (dict, optional):
If a dictionary i... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L117-L139 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | insert_flux_bias | def insert_flux_bias(cur, chain, system, flux_bias, chain_strength, encoded_data=None):
"""Insert a flux bias offset into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
chain (iterable):
... | python | def insert_flux_bias(cur, chain, system, flux_bias, chain_strength, encoded_data=None):
"""Insert a flux bias offset into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
chain (iterable):
... | Insert a flux bias offset into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
chain (iterable):
A collection of nodes. Chains in embedding act as one node.
system (str):
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L158-L212 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | iter_flux_bias | def iter_flux_bias(cur):
"""Iterate over all flux biases in the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
Yields:
tuple: A 4-tuple:
list: The chain.
str: The system n... | python | def iter_flux_bias(cur):
"""Iterate over all flux biases in the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
Yields:
tuple: A 4-tuple:
list: The chain.
str: The system n... | Iterate over all flux biases in the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
Yields:
tuple: A 4-tuple:
list: The chain.
str: The system name.
float: The flu... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L215-L240 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | get_flux_biases_from_cache | def get_flux_biases_from_cache(cur, chains, system_name, chain_strength, max_age=3600):
"""Determine the flux biases for all of the the given chains, system and chain strength.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` stat... | python | def get_flux_biases_from_cache(cur, chains, system_name, chain_strength, max_age=3600):
"""Determine the flux biases for all of the the given chains, system and chain strength.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` stat... | Determine the flux biases for all of the the given chains, system and chain strength.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
chains (iterable):
An iterable of chains. Each chain is a collectio... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L255-L312 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | insert_graph | def insert_graph(cur, nodelist, edgelist, encoded_data=None):
"""Insert a graph into the cache.
A graph is stored by number of nodes, number of edges and a
json-encoded list of edges.
Args:
cur (:class:`sqlite3.Cursor`): An sqlite3 cursor. This function
is meant to be run within a ... | python | def insert_graph(cur, nodelist, edgelist, encoded_data=None):
"""Insert a graph into the cache.
A graph is stored by number of nodes, number of edges and a
json-encoded list of edges.
Args:
cur (:class:`sqlite3.Cursor`): An sqlite3 cursor. This function
is meant to be run within a ... | Insert a graph into the cache.
A graph is stored by number of nodes, number of edges and a
json-encoded list of edges.
Args:
cur (:class:`sqlite3.Cursor`): An sqlite3 cursor. This function
is meant to be run within a :obj:`with` statement.
nodelist (list): The nodes in the grap... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L315-L372 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | iter_graph | def iter_graph(cur):
"""Iterate over all graphs in the cache.
Args:
cur (:class:`sqlite3.Cursor`): An sqlite3 cursor. This function
is meant to be run within a :obj:`with` statement.
Yields:
tuple: A 2-tuple containing:
list: The nodelist for a graph in the cache.
... | python | def iter_graph(cur):
"""Iterate over all graphs in the cache.
Args:
cur (:class:`sqlite3.Cursor`): An sqlite3 cursor. This function
is meant to be run within a :obj:`with` statement.
Yields:
tuple: A 2-tuple containing:
list: The nodelist for a graph in the cache.
... | Iterate over all graphs in the cache.
Args:
cur (:class:`sqlite3.Cursor`): An sqlite3 cursor. This function
is meant to be run within a :obj:`with` statement.
Yields:
tuple: A 2-tuple containing:
list: The nodelist for a graph in the cache.
list: the edgel... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L375-L400 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | insert_embedding | def insert_embedding(cur, source_nodelist, source_edgelist, target_nodelist, target_edgelist,
embedding, embedding_tag):
"""Insert an embedding into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` ... | python | def insert_embedding(cur, source_nodelist, source_edgelist, target_nodelist, target_edgelist,
embedding, embedding_tag):
"""Insert an embedding into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` ... | Insert an embedding into the cache.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
source_nodelist (list):
The nodes in the source graph. Should be integer valued.
source_edgelist (list):
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L403-L509 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | select_embedding_from_tag | def select_embedding_from_tag(cur, embedding_tag, target_nodelist, target_edgelist):
"""Select an embedding from the given tag and target graph.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
source_nodelist ... | python | def select_embedding_from_tag(cur, embedding_tag, target_nodelist, target_edgelist):
"""Select an embedding from the given tag and target graph.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
source_nodelist ... | Select an embedding from the given tag and target graph.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
source_nodelist (list):
The nodes in the source graph. Should be integer valued.
source... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L512-L557 |
dwavesystems/dwave-system | dwave/system/cache/database_manager.py | select_embedding_from_source | def select_embedding_from_source(cur, source_nodelist, source_edgelist,
target_nodelist, target_edgelist):
"""Select an embedding from the source graph and target graph.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run... | python | def select_embedding_from_source(cur, source_nodelist, source_edgelist,
target_nodelist, target_edgelist):
"""Select an embedding from the source graph and target graph.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run... | Select an embedding from the source graph and target graph.
Args:
cur (:class:`sqlite3.Cursor`):
An sqlite3 cursor. This function is meant to be run within a :obj:`with` statement.
target_nodelist (list):
The nodes in the target graph. Should be integer valued.
tar... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/cache/database_manager.py#L560-L608 |
dwavesystems/dwave-system | dwave/embedding/pegasus.py | find_clique_embedding | def find_clique_embedding(k, m=None, target_graph=None):
"""Find an embedding of a k-sized clique on a Pegasus graph (target_graph).
This clique is found by transforming the Pegasus graph into a K2,2 Chimera graph and then
applying a Chimera clique finding algorithm. The results are then converted back in ... | python | def find_clique_embedding(k, m=None, target_graph=None):
"""Find an embedding of a k-sized clique on a Pegasus graph (target_graph).
This clique is found by transforming the Pegasus graph into a K2,2 Chimera graph and then
applying a Chimera clique finding algorithm. The results are then converted back in ... | Find an embedding of a k-sized clique on a Pegasus graph (target_graph).
This clique is found by transforming the Pegasus graph into a K2,2 Chimera graph and then
applying a Chimera clique finding algorithm. The results are then converted back in terms of
Pegasus coordinates.
Note: If target_graph is ... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/pegasus.py#L9-L86 |
dwavesystems/dwave-system | dwave/embedding/drawing.py | draw_chimera_bqm | def draw_chimera_bqm(bqm, width=None, height=None):
"""Draws a Chimera Graph representation of a Binary Quadratic Model.
If cell width and height not provided assumes square cell dimensions.
Throws an error if drawing onto a Chimera graph of the given dimensions fails.
Args:
bqm (:obj:`dimod.B... | python | def draw_chimera_bqm(bqm, width=None, height=None):
"""Draws a Chimera Graph representation of a Binary Quadratic Model.
If cell width and height not provided assumes square cell dimensions.
Throws an error if drawing onto a Chimera graph of the given dimensions fails.
Args:
bqm (:obj:`dimod.B... | Draws a Chimera Graph representation of a Binary Quadratic Model.
If cell width and height not provided assumes square cell dimensions.
Throws an error if drawing onto a Chimera graph of the given dimensions fails.
Args:
bqm (:obj:`dimod.BinaryQuadraticModel`):
Should be equivalent to ... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/drawing.py#L23-L104 |
dwavesystems/dwave-system | dwave/embedding/transforms.py | embed_bqm | def embed_bqm(source_bqm, embedding, target_adjacency, chain_strength=1.0,
smear_vartype=None):
"""Embed a binary quadratic model onto a target graph.
Args:
source_bqm (:obj:`.BinaryQuadraticModel`):
Binary quadratic model to embed.
embedding (dict):
Mappi... | python | def embed_bqm(source_bqm, embedding, target_adjacency, chain_strength=1.0,
smear_vartype=None):
"""Embed a binary quadratic model onto a target graph.
Args:
source_bqm (:obj:`.BinaryQuadraticModel`):
Binary quadratic model to embed.
embedding (dict):
Mappi... | Embed a binary quadratic model onto a target graph.
Args:
source_bqm (:obj:`.BinaryQuadraticModel`):
Binary quadratic model to embed.
embedding (dict):
Mapping from source graph to target graph as a dict of form {s: {t, ...}, ...},
where s is a source-model vari... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/transforms.py#L38-L168 |
dwavesystems/dwave-system | dwave/embedding/transforms.py | embed_ising | def embed_ising(source_h, source_J, embedding, target_adjacency, chain_strength=1.0):
"""Embed an Ising problem onto a target graph.
Args:
source_h (dict[variable, bias]/list[bias]):
Linear biases of the Ising problem. If a list, the list's indices are used as
variable labels.
... | python | def embed_ising(source_h, source_J, embedding, target_adjacency, chain_strength=1.0):
"""Embed an Ising problem onto a target graph.
Args:
source_h (dict[variable, bias]/list[bias]):
Linear biases of the Ising problem. If a list, the list's indices are used as
variable labels.
... | Embed an Ising problem onto a target graph.
Args:
source_h (dict[variable, bias]/list[bias]):
Linear biases of the Ising problem. If a list, the list's indices are used as
variable labels.
source_J (dict[(variable, variable), bias]):
Quadratic biases of the Isin... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/transforms.py#L171-L250 |
dwavesystems/dwave-system | dwave/embedding/transforms.py | embed_qubo | def embed_qubo(source_Q, embedding, target_adjacency, chain_strength=1.0):
"""Embed a QUBO onto a target graph.
Args:
source_Q (dict[(variable, variable), bias]):
Coefficients of a quadratic unconstrained binary optimization (QUBO) model.
embedding (dict):
Mapping from ... | python | def embed_qubo(source_Q, embedding, target_adjacency, chain_strength=1.0):
"""Embed a QUBO onto a target graph.
Args:
source_Q (dict[(variable, variable), bias]):
Coefficients of a quadratic unconstrained binary optimization (QUBO) model.
embedding (dict):
Mapping from ... | Embed a QUBO onto a target graph.
Args:
source_Q (dict[(variable, variable), bias]):
Coefficients of a quadratic unconstrained binary optimization (QUBO) model.
embedding (dict):
Mapping from source graph to target graph as a dict of form {s: {t, ...}, ...},
whe... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/transforms.py#L253-L343 |
dwavesystems/dwave-system | dwave/embedding/transforms.py | unembed_sampleset | def unembed_sampleset(target_sampleset, embedding, source_bqm,
chain_break_method=None, chain_break_fraction=False):
"""Unembed the samples set.
Construct a sample set for the source binary quadratic model (BQM) by
unembedding the given samples from the target BQM.
Args:
... | python | def unembed_sampleset(target_sampleset, embedding, source_bqm,
chain_break_method=None, chain_break_fraction=False):
"""Unembed the samples set.
Construct a sample set for the source binary quadratic model (BQM) by
unembedding the given samples from the target BQM.
Args:
... | Unembed the samples set.
Construct a sample set for the source binary quadratic model (BQM) by
unembedding the given samples from the target BQM.
Args:
target_sampleset (:obj:`dimod.SampleSet`):
SampleSet from the target BQM.
embedding (dict):
Mapping from source g... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/transforms.py#L346-L441 |
dwavesystems/dwave-system | dwave/system/composites/embedding.py | _adjacency_to_edges | def _adjacency_to_edges(adjacency):
"""determine from an adjacency the list of edges
if (u, v) in edges, then (v, u) should not be"""
edges = set()
for u in adjacency:
for v in adjacency[u]:
try:
edge = (u, v) if u <= v else (v, u)
except TypeError:
... | python | def _adjacency_to_edges(adjacency):
"""determine from an adjacency the list of edges
if (u, v) in edges, then (v, u) should not be"""
edges = set()
for u in adjacency:
for v in adjacency[u]:
try:
edge = (u, v) if u <= v else (v, u)
except TypeError:
... | determine from an adjacency the list of edges
if (u, v) in edges, then (v, u) should not be | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/embedding.py#L414-L429 |
dwavesystems/dwave-system | dwave/system/composites/embedding.py | _embed_state | def _embed_state(embedding, state):
"""Embed a single state/sample by spreading it's values over the chains in the embedding"""
return {u: state[v] for v, chain in embedding.items() for u in chain} | python | def _embed_state(embedding, state):
"""Embed a single state/sample by spreading it's values over the chains in the embedding"""
return {u: state[v] for v, chain in embedding.items() for u in chain} | Embed a single state/sample by spreading it's values over the chains in the embedding | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/embedding.py#L432-L434 |
dwavesystems/dwave-system | dwave/system/composites/embedding.py | EmbeddingComposite.parameters | def parameters(self):
"""dict[str, list]: Parameters in the form of a dict.
For an instantiated composed sampler, keys are the keyword parameters accepted by the child sampler
and parameters added by the composite such as those related to chains.
Examples:
This example view... | python | def parameters(self):
"""dict[str, list]: Parameters in the form of a dict.
For an instantiated composed sampler, keys are the keyword parameters accepted by the child sampler
and parameters added by the composite such as those related to chains.
Examples:
This example view... | dict[str, list]: Parameters in the form of a dict.
For an instantiated composed sampler, keys are the keyword parameters accepted by the child sampler
and parameters added by the composite such as those related to chains.
Examples:
This example views parameters of a composed sample... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/embedding.py#L74-L104 |
dwavesystems/dwave-system | dwave/system/composites/embedding.py | EmbeddingComposite.sample | def sample(self, bqm, chain_strength=1.0, chain_break_fraction=True, **parameters):
"""Sample from the provided binary quadratic model.
Also set parameters for handling a chain, the set of vertices in a target graph that
represents a source-graph vertex; when a D-Wave system is the sampler, it ... | python | def sample(self, bqm, chain_strength=1.0, chain_break_fraction=True, **parameters):
"""Sample from the provided binary quadratic model.
Also set parameters for handling a chain, the set of vertices in a target graph that
represents a source-graph vertex; when a D-Wave system is the sampler, it ... | Sample from the provided binary quadratic model.
Also set parameters for handling a chain, the set of vertices in a target graph that
represents a source-graph vertex; when a D-Wave system is the sampler, it is a set
of qubits that together represent a variable of the binary quadratic model bei... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/embedding.py#L135-L207 |
dwavesystems/dwave-system | dwave/system/composites/embedding.py | FixedEmbeddingComposite.sample | def sample(self, bqm, chain_strength=1.0, chain_break_fraction=True, **parameters):
"""Sample from the provided binary quadratic model.
Also set parameters for handling a chain, the set of vertices in a target graph that
represents a source-graph vertex; when a D-Wave system is the sampler, it ... | python | def sample(self, bqm, chain_strength=1.0, chain_break_fraction=True, **parameters):
"""Sample from the provided binary quadratic model.
Also set parameters for handling a chain, the set of vertices in a target graph that
represents a source-graph vertex; when a D-Wave system is the sampler, it ... | Sample from the provided binary quadratic model.
Also set parameters for handling a chain, the set of vertices in a target graph that
represents a source-graph vertex; when a D-Wave system is the sampler, it is a set
of qubits that together represent a variable of the binary quadratic model bei... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/embedding.py#L346-L411 |
dwavesystems/dwave-system | dwave/system/composites/embedding.py | LazyFixedEmbeddingComposite.sample | def sample(self, bqm, chain_strength=1.0, chain_break_fraction=True, **parameters):
"""Sample the binary quadratic model.
Note: At the initial sample(..) call, it will find a suitable embedding and initialize the remaining attributes
before sampling the bqm. All following sample(..) calls will ... | python | def sample(self, bqm, chain_strength=1.0, chain_break_fraction=True, **parameters):
"""Sample the binary quadratic model.
Note: At the initial sample(..) call, it will find a suitable embedding and initialize the remaining attributes
before sampling the bqm. All following sample(..) calls will ... | Sample the binary quadratic model.
Note: At the initial sample(..) call, it will find a suitable embedding and initialize the remaining attributes
before sampling the bqm. All following sample(..) calls will reuse that initial embedding.
Args:
bqm (:obj:`dimod.BinaryQuadraticModel`... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/embedding.py#L461-L495 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | _accumulate_random | def _accumulate_random(count, found, oldthing, newthing):
"""This performs on-line random selection.
We have a stream of objects
o_1,c_1; o_2,c_2; ...
where there are c_i equivalent objects like o_1. We'd like to pick
a random object o uniformly at random from the list
[o_1]*c_1 + [... | python | def _accumulate_random(count, found, oldthing, newthing):
"""This performs on-line random selection.
We have a stream of objects
o_1,c_1; o_2,c_2; ...
where there are c_i equivalent objects like o_1. We'd like to pick
a random object o uniformly at random from the list
[o_1]*c_1 + [... | This performs on-line random selection.
We have a stream of objects
o_1,c_1; o_2,c_2; ...
where there are c_i equivalent objects like o_1. We'd like to pick
a random object o uniformly at random from the list
[o_1]*c_1 + [o_2]*c_2 + ...
(actually, this algorithm allows arbitrary po... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L60-L108 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | _bulk_to_linear | def _bulk_to_linear(M, N, L, qubits):
"Converts a list of chimera coordinates to linear indices."
return [2 * L * N * x + 2 * L * y + L * u + k for x, y, u, k in qubits] | python | def _bulk_to_linear(M, N, L, qubits):
"Converts a list of chimera coordinates to linear indices."
return [2 * L * N * x + 2 * L * y + L * u + k for x, y, u, k in qubits] | Converts a list of chimera coordinates to linear indices. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1161-L1163 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | _to_linear | def _to_linear(M, N, L, q):
"Converts a qubit in chimera coordinates to its linear index."
(x, y, u, k) = q
return 2 * L * N * x + 2 * L * y + L * u + k | python | def _to_linear(M, N, L, q):
"Converts a qubit in chimera coordinates to its linear index."
(x, y, u, k) = q
return 2 * L * N * x + 2 * L * y + L * u + k | Converts a qubit in chimera coordinates to its linear index. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1166-L1169 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | _bulk_to_chimera | def _bulk_to_chimera(M, N, L, qubits):
"Converts a list of linear indices to chimera coordinates."
return [(q // N // L // 2, (q // L // 2) % N, (q // L) % 2, q % L) for q in qubits] | python | def _bulk_to_chimera(M, N, L, qubits):
"Converts a list of linear indices to chimera coordinates."
return [(q // N // L // 2, (q // L // 2) % N, (q // L) % 2, q % L) for q in qubits] | Converts a list of linear indices to chimera coordinates. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1172-L1174 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | _to_chimera | def _to_chimera(M, N, L, q):
"Converts a qubit's linear index to chimera coordinates."
return (q // N // L // 2, (q // L // 2) % N, (q // L) % 2, q % L) | python | def _to_chimera(M, N, L, q):
"Converts a qubit's linear index to chimera coordinates."
return (q // N // L // 2, (q // L // 2) % N, (q // L) % 2, q % L) | Converts a qubit's linear index to chimera coordinates. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1177-L1179 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | _chimera_neighbors | def _chimera_neighbors(M, N, L, q):
"Returns a list of neighbors of (x,y,u,k) in a perfect :math:`C_{M,N,L}`"
(x, y, u, k) = q
n = [(x, y, 1 - u, l) for l in range(L)]
if u == 0:
if x:
n.append((x - 1, y, u, k))
if x < M - 1:
n.append((x + 1, y, u, k))
else:
... | python | def _chimera_neighbors(M, N, L, q):
"Returns a list of neighbors of (x,y,u,k) in a perfect :math:`C_{M,N,L}`"
(x, y, u, k) = q
n = [(x, y, 1 - u, l) for l in range(L)]
if u == 0:
if x:
n.append((x - 1, y, u, k))
if x < M - 1:
n.append((x + 1, y, u, k))
else:
... | Returns a list of neighbors of (x,y,u,k) in a perfect :math:`C_{M,N,L}` | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1182-L1196 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | random_processor | def random_processor(M, N, L, qubit_yield, num_evil=0):
"""A utility function that generates a random :math:`C_{M,N,L}` missing some
percentage of its qubits.
INPUTS:
M,N,L: the chimera parameters
qubit_yield: ratio (0 <= qubit_yield <= 1) of #{qubits}/(2*M*N*L)
num_evil: number of ... | python | def random_processor(M, N, L, qubit_yield, num_evil=0):
"""A utility function that generates a random :math:`C_{M,N,L}` missing some
percentage of its qubits.
INPUTS:
M,N,L: the chimera parameters
qubit_yield: ratio (0 <= qubit_yield <= 1) of #{qubits}/(2*M*N*L)
num_evil: number of ... | A utility function that generates a random :math:`C_{M,N,L}` missing some
percentage of its qubits.
INPUTS:
M,N,L: the chimera parameters
qubit_yield: ratio (0 <= qubit_yield <= 1) of #{qubits}/(2*M*N*L)
num_evil: number of broken in-cell couplers between working qubits
OUTPUT:
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1199-L1226 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.vline_score | def vline_score(self, x, ymin, ymax):
"""Returns the number of unbroken paths of qubits
>>> [(x,y,1,k) for y in range(ymin,ymax+1)]
for :math:`k = 0,1,\cdots,L-1`. This is precomputed for speed.
"""
return self._vline_score[x, ymin, ymax] | python | def vline_score(self, x, ymin, ymax):
"""Returns the number of unbroken paths of qubits
>>> [(x,y,1,k) for y in range(ymin,ymax+1)]
for :math:`k = 0,1,\cdots,L-1`. This is precomputed for speed.
"""
return self._vline_score[x, ymin, ymax] | Returns the number of unbroken paths of qubits
>>> [(x,y,1,k) for y in range(ymin,ymax+1)]
for :math:`k = 0,1,\cdots,L-1`. This is precomputed for speed. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L170-L177 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.hline_score | def hline_score(self, y, xmin, xmax):
"""Returns the number of unbroken paths of qubits
>>> [(x,y,0,k) for x in range(xmin,xmax+1)]
for :math:`k = 0,1,\cdots,L-1`. This is precomputed for speed.
"""
return self._hline_score[y, xmin, xmax] | python | def hline_score(self, y, xmin, xmax):
"""Returns the number of unbroken paths of qubits
>>> [(x,y,0,k) for x in range(xmin,xmax+1)]
for :math:`k = 0,1,\cdots,L-1`. This is precomputed for speed.
"""
return self._hline_score[y, xmin, xmax] | Returns the number of unbroken paths of qubits
>>> [(x,y,0,k) for x in range(xmin,xmax+1)]
for :math:`k = 0,1,\cdots,L-1`. This is precomputed for speed. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L179-L186 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor._compute_vline_scores | def _compute_vline_scores(self):
"""Does the hard work to prepare ``vline_score``.
"""
M, N, L = self.M, self.N, self.L
vline_score = {}
for x in range(M):
laststart = [0 if (x, 0, 1, k) in self else None for k in range(L)]
for y in range(N):
... | python | def _compute_vline_scores(self):
"""Does the hard work to prepare ``vline_score``.
"""
M, N, L = self.M, self.N, self.L
vline_score = {}
for x in range(M):
laststart = [0 if (x, 0, 1, k) in self else None for k in range(L)]
for y in range(N):
... | Does the hard work to prepare ``vline_score``. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L188-L210 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor._compute_hline_scores | def _compute_hline_scores(self):
"""Does the hard work to prepare ``hline_score``.
"""
M, N, L = self.M, self.N, self.L
hline_score = {}
for y in range(N):
laststart = [0 if (0, y, 0, k) in self else None for k in range(L)]
for x in range(M):
... | python | def _compute_hline_scores(self):
"""Does the hard work to prepare ``hline_score``.
"""
M, N, L = self.M, self.N, self.L
hline_score = {}
for y in range(N):
laststart = [0 if (0, y, 0, k) in self else None for k in range(L)]
for x in range(M):
... | Does the hard work to prepare ``hline_score``. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L212-L234 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor._compute_biclique_sizes | def _compute_biclique_sizes(self, recompute=False):
"""Calls ``self.biclique_size(...)`` for every rectangle contained in this
processor, to fill the biclique size cache.
INPUTS:
recompute: if ``True``, then we dump the existing cache and compute
all biclique sizes f... | python | def _compute_biclique_sizes(self, recompute=False):
"""Calls ``self.biclique_size(...)`` for every rectangle contained in this
processor, to fill the biclique size cache.
INPUTS:
recompute: if ``True``, then we dump the existing cache and compute
all biclique sizes f... | Calls ``self.biclique_size(...)`` for every rectangle contained in this
processor, to fill the biclique size cache.
INPUTS:
recompute: if ``True``, then we dump the existing cache and compute
all biclique sizes from scratch. (default: ``False``) | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L236-L262 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.biclique_size | def biclique_size(self, xmin, xmax, ymin, ymax):
"""Returns the size parameters ``(m,n)`` of the complete bipartite graph
:math:`K_{m,n}` comprised of ``m`` unbroken chains of horizontally-aligned qubits
and ``n`` unbroken chains of vertically-aligned qubits (known as line
bundles)
... | python | def biclique_size(self, xmin, xmax, ymin, ymax):
"""Returns the size parameters ``(m,n)`` of the complete bipartite graph
:math:`K_{m,n}` comprised of ``m`` unbroken chains of horizontally-aligned qubits
and ``n`` unbroken chains of vertically-aligned qubits (known as line
bundles)
... | Returns the size parameters ``(m,n)`` of the complete bipartite graph
:math:`K_{m,n}` comprised of ``m`` unbroken chains of horizontally-aligned qubits
and ``n`` unbroken chains of vertically-aligned qubits (known as line
bundles)
INPUTS:
xmin,xmax,ymin,ymax: integers defini... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L264-L289 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.biclique | def biclique(self, xmin, xmax, ymin, ymax):
"""Compute a maximum-sized complete bipartite graph contained in the
rectangle defined by ``xmin, xmax, ymin, ymax`` where each chain of
qubits is either a vertical line or a horizontal line.
INPUTS:
xmin,xmax,ymin,ymax: integers d... | python | def biclique(self, xmin, xmax, ymin, ymax):
"""Compute a maximum-sized complete bipartite graph contained in the
rectangle defined by ``xmin, xmax, ymin, ymax`` where each chain of
qubits is either a vertical line or a horizontal line.
INPUTS:
xmin,xmax,ymin,ymax: integers d... | Compute a maximum-sized complete bipartite graph contained in the
rectangle defined by ``xmin, xmax, ymin, ymax`` where each chain of
qubits is either a vertical line or a horizontal line.
INPUTS:
xmin,xmax,ymin,ymax: integers defining the bounds of a rectangle
where we ... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L291-L319 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor._contains_line | def _contains_line(self, line):
"""Test if a chain of qubits is completely contained in ``self``. In
particular, test if all qubits are present and the couplers
connecting those qubits are also connected.
NOTE: this function assumes that ``line`` is a list or tuple of
qubits wh... | python | def _contains_line(self, line):
"""Test if a chain of qubits is completely contained in ``self``. In
particular, test if all qubits are present and the couplers
connecting those qubits are also connected.
NOTE: this function assumes that ``line`` is a list or tuple of
qubits wh... | Test if a chain of qubits is completely contained in ``self``. In
particular, test if all qubits are present and the couplers
connecting those qubits are also connected.
NOTE: this function assumes that ``line`` is a list or tuple of
qubits which satisfies the precondition that ``(line... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L322-L337 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.maximum_vline_bundle | def maximum_vline_bundle(self, x0, y0, y1):
"""Compute a maximum set of vertical lines in the unit cells ``(x0,y)``
for :math:`y0 \leq y \leq y1`.
INPUTS:
y0,x0,x1: int
OUTPUT:
list of lists of qubits
"""
y_range = range(y1, y0 - 1, -1) if y0 < ... | python | def maximum_vline_bundle(self, x0, y0, y1):
"""Compute a maximum set of vertical lines in the unit cells ``(x0,y)``
for :math:`y0 \leq y \leq y1`.
INPUTS:
y0,x0,x1: int
OUTPUT:
list of lists of qubits
"""
y_range = range(y1, y0 - 1, -1) if y0 < ... | Compute a maximum set of vertical lines in the unit cells ``(x0,y)``
for :math:`y0 \leq y \leq y1`.
INPUTS:
y0,x0,x1: int
OUTPUT:
list of lists of qubits | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L339-L352 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.maximum_hline_bundle | def maximum_hline_bundle(self, y0, x0, x1):
"""Compute a maximum set of horizontal lines in the unit cells ``(x,y0)``
for :math:`x0 \leq x \leq x1`.
INPUTS:
y0,x0,x1: int
OUTPUT:
list of lists of qubits
"""
x_range = range(x0, x1 + 1) if x0 < x1 ... | python | def maximum_hline_bundle(self, y0, x0, x1):
"""Compute a maximum set of horizontal lines in the unit cells ``(x,y0)``
for :math:`x0 \leq x \leq x1`.
INPUTS:
y0,x0,x1: int
OUTPUT:
list of lists of qubits
"""
x_range = range(x0, x1 + 1) if x0 < x1 ... | Compute a maximum set of horizontal lines in the unit cells ``(x,y0)``
for :math:`x0 \leq x \leq x1`.
INPUTS:
y0,x0,x1: int
OUTPUT:
list of lists of qubits | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L354-L366 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.maximum_ell_bundle | def maximum_ell_bundle(self, ell):
"""Return a maximum ell bundle in the rectangle bounded by
:math:`\{x0,x1\} \\times \{y0,y1\}`
with vertical component
:math:`(x0,y0) ... (x0,y1) = {x0} \\times \{y0,...,y1\}`
and horizontal component
:math:`(x0,y0) ... ... | python | def maximum_ell_bundle(self, ell):
"""Return a maximum ell bundle in the rectangle bounded by
:math:`\{x0,x1\} \\times \{y0,y1\}`
with vertical component
:math:`(x0,y0) ... (x0,y1) = {x0} \\times \{y0,...,y1\}`
and horizontal component
:math:`(x0,y0) ... ... | Return a maximum ell bundle in the rectangle bounded by
:math:`\{x0,x1\} \\times \{y0,y1\}`
with vertical component
:math:`(x0,y0) ... (x0,y1) = {x0} \\times \{y0,...,y1\}`
and horizontal component
:math:`(x0,y0) ... (x1,y0) = \{x0,...,x1\} \\times \{y0\}`.
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L368-L409 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor._combine_clique_scores | def _combine_clique_scores(self, rscore, hbar, vbar):
"""Computes the score of a partial native clique embedding given the score
attained by the already-placed ells, together with the ell block
defined by ``hbar = (y0,xmin,xmax)``, and ``vbar = (x0,ymin,ymax)``.
In the plain :class:`ed... | python | def _combine_clique_scores(self, rscore, hbar, vbar):
"""Computes the score of a partial native clique embedding given the score
attained by the already-placed ells, together with the ell block
defined by ``hbar = (y0,xmin,xmax)``, and ``vbar = (x0,ymin,ymax)``.
In the plain :class:`ed... | Computes the score of a partial native clique embedding given the score
attained by the already-placed ells, together with the ell block
defined by ``hbar = (y0,xmin,xmax)``, and ``vbar = (x0,ymin,ymax)``.
In the plain :class:`eden_processor` class, this is simply the number of ells
co... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L411-L429 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.maxCliqueWithRectangle | def maxCliqueWithRectangle(self, R, maxCWR):
"""This does the dirty work for :func:`nativeCliqueEmbed`. Not meant to be
understood or called on its own. Guaranteed to maintain the inductive
hypothesis that ``maxCWR`` is optimal. We put in the tiniest amount of
effort to return a unifo... | python | def maxCliqueWithRectangle(self, R, maxCWR):
"""This does the dirty work for :func:`nativeCliqueEmbed`. Not meant to be
understood or called on its own. Guaranteed to maintain the inductive
hypothesis that ``maxCWR`` is optimal. We put in the tiniest amount of
effort to return a unifo... | This does the dirty work for :func:`nativeCliqueEmbed`. Not meant to be
understood or called on its own. Guaranteed to maintain the inductive
hypothesis that ``maxCWR`` is optimal. We put in the tiniest amount of
effort to return a uniform random choice of a maximum-sized native
cliqu... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L431-L494 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.nativeCliqueEmbed | def nativeCliqueEmbed(self, width):
"""Compute a maximum-sized native clique embedding in an induced
subgraph of chimera with all chainlengths ``width+1``.
INPUTS:
width: width of the squares to search, also `chainlength`-1
OUTPUT:
score: the score for the retur... | python | def nativeCliqueEmbed(self, width):
"""Compute a maximum-sized native clique embedding in an induced
subgraph of chimera with all chainlengths ``width+1``.
INPUTS:
width: width of the squares to search, also `chainlength`-1
OUTPUT:
score: the score for the retur... | Compute a maximum-sized native clique embedding in an induced
subgraph of chimera with all chainlengths ``width+1``.
INPUTS:
width: width of the squares to search, also `chainlength`-1
OUTPUT:
score: the score for the returned clique (just ``len(clique)``
in... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L496-L544 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.largestNativeClique | def largestNativeClique(self, max_chain_length=None):
"""Returns the largest native clique embedding we can find on the
processor, with the shortest chainlength possible (for that
clique size).
OUTPUT:
score: the score for the returned clique (just ``len(clique)``
... | python | def largestNativeClique(self, max_chain_length=None):
"""Returns the largest native clique embedding we can find on the
processor, with the shortest chainlength possible (for that
clique size).
OUTPUT:
score: the score for the returned clique (just ``len(clique)``
... | Returns the largest native clique embedding we can find on the
processor, with the shortest chainlength possible (for that
clique size).
OUTPUT:
score: the score for the returned clique (just ``len(clique)``
in the class :class:`eden_processor`; may differ in subclasses)... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L546-L580 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | eden_processor.largestNativeBiClique | def largestNativeBiClique(self, chain_imbalance=0, max_chain_length=None):
"""Returns a native embedding for the complete bipartite graph :math:`K_{n,m}`
for :math:`n \leq m`; where :math:`n` is as large as possible and :math:`m` is as large as
possible subject to :math:`n`. The native embeddin... | python | def largestNativeBiClique(self, chain_imbalance=0, max_chain_length=None):
"""Returns a native embedding for the complete bipartite graph :math:`K_{n,m}`
for :math:`n \leq m`; where :math:`n` is as large as possible and :math:`m` is as large as
possible subject to :math:`n`. The native embeddin... | Returns a native embedding for the complete bipartite graph :math:`K_{n,m}`
for :math:`n \leq m`; where :math:`n` is as large as possible and :math:`m` is as large as
possible subject to :math:`n`. The native embedding of a complete bipartite
graph is a set of horizontally-aligned qubits connec... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L608-L672 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._compute_all_deletions | def _compute_all_deletions(self):
"""Returns all minimal edge covers of the set of evil edges.
"""
minimum_evil = []
for disabled_qubits in map(set, product(*self._evil)):
newmin = []
for s in minimum_evil:
if s < disabled_qubits:
... | python | def _compute_all_deletions(self):
"""Returns all minimal edge covers of the set of evil edges.
"""
minimum_evil = []
for disabled_qubits in map(set, product(*self._evil)):
newmin = []
for s in minimum_evil:
if s < disabled_qubits:
... | Returns all minimal edge covers of the set of evil edges. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L810-L824 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._subprocessor | def _subprocessor(self, disabled_qubits):
"""Create a subprocessor by deleting a set of qubits. We assume
this removes all evil edges, and return an :class:`eden_processor`
instance.
"""
edgelist = [(p, q) for p, q in self._edgelist if
p not in disabled_qubit... | python | def _subprocessor(self, disabled_qubits):
"""Create a subprocessor by deleting a set of qubits. We assume
this removes all evil edges, and return an :class:`eden_processor`
instance.
"""
edgelist = [(p, q) for p, q in self._edgelist if
p not in disabled_qubit... | Create a subprocessor by deleting a set of qubits. We assume
this removes all evil edges, and return an :class:`eden_processor`
instance. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L826-L834 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._compute_deletions | def _compute_deletions(self):
"""If there are fewer than self._proc_limit possible deletion
sets, compute all subprocessors obtained by deleting a
minimal subset of qubits.
"""
M, N, L, edgelist = self.M, self.N, self.L, self._edgelist
if 2**len(self._evil) <= self._proc_... | python | def _compute_deletions(self):
"""If there are fewer than self._proc_limit possible deletion
sets, compute all subprocessors obtained by deleting a
minimal subset of qubits.
"""
M, N, L, edgelist = self.M, self.N, self.L, self._edgelist
if 2**len(self._evil) <= self._proc_... | If there are fewer than self._proc_limit possible deletion
sets, compute all subprocessors obtained by deleting a
minimal subset of qubits. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L836-L846 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._random_subprocessor | def _random_subprocessor(self):
"""Creates a random subprocessor where there is a coupler between
every pair of working qubits on opposite sides of the same cell.
This is guaranteed to be minimal in that adding a qubit back in
will reintroduce a bad coupler, but not to have minimum size.... | python | def _random_subprocessor(self):
"""Creates a random subprocessor where there is a coupler between
every pair of working qubits on opposite sides of the same cell.
This is guaranteed to be minimal in that adding a qubit back in
will reintroduce a bad coupler, but not to have minimum size.... | Creates a random subprocessor where there is a coupler between
every pair of working qubits on opposite sides of the same cell.
This is guaranteed to be minimal in that adding a qubit back in
will reintroduce a bad coupler, but not to have minimum size.
OUTPUT:
an :class:`ed... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L848-L862 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._random_subprocessors | def _random_subprocessors(self):
"""Produces an iterator of subprocessors. If there are fewer than
self._proc_limit subprocessors to consider (by knocking out a
minimal subset of working qubits incident to broken couplers),
we work exhaustively. Otherwise, we generate a random set of
... | python | def _random_subprocessors(self):
"""Produces an iterator of subprocessors. If there are fewer than
self._proc_limit subprocessors to consider (by knocking out a
minimal subset of working qubits incident to broken couplers),
we work exhaustively. Otherwise, we generate a random set of
... | Produces an iterator of subprocessors. If there are fewer than
self._proc_limit subprocessors to consider (by knocking out a
minimal subset of working qubits incident to broken couplers),
we work exhaustively. Otherwise, we generate a random set of
``self._proc_limit`` subprocessors.
... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L864-L887 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._map_to_processors | def _map_to_processors(self, f, objective):
"""Map a function to a list of processors, and return the output that
best satisfies a transitive objective function. The list of
processors will differ according to the number of evil qubits and
:func:`_proc_limit`, see details in :func:`self... | python | def _map_to_processors(self, f, objective):
"""Map a function to a list of processors, and return the output that
best satisfies a transitive objective function. The list of
processors will differ according to the number of evil qubits and
:func:`_proc_limit`, see details in :func:`self... | Map a function to a list of processors, and return the output that
best satisfies a transitive objective function. The list of
processors will differ according to the number of evil qubits and
:func:`_proc_limit`, see details in :func:`self._random_subprocessors`.
INPUT:
f ... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L889-L911 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._objective_bestscore | def _objective_bestscore(self, old, new):
"""An objective function that returns True if new has a better score
than old, and ``False`` otherwise.
INPUTS:
old (tuple): a tuple (score, embedding)
new (tuple): a tuple (score, embedding)
"""
(oldscore, oldt... | python | def _objective_bestscore(self, old, new):
"""An objective function that returns True if new has a better score
than old, and ``False`` otherwise.
INPUTS:
old (tuple): a tuple (score, embedding)
new (tuple): a tuple (score, embedding)
"""
(oldscore, oldt... | An objective function that returns True if new has a better score
than old, and ``False`` otherwise.
INPUTS:
old (tuple): a tuple (score, embedding)
new (tuple): a tuple (score, embedding) | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L913-L929 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._objective_qubitcount | def _objective_qubitcount(self, old, new):
"""An objective function that returns True if new uses fewer qubits
than old, and False otherwise. This objective function should only be
used to compare embeddings of the same graph (or at least embeddings of
graphs with the same number of qub... | python | def _objective_qubitcount(self, old, new):
"""An objective function that returns True if new uses fewer qubits
than old, and False otherwise. This objective function should only be
used to compare embeddings of the same graph (or at least embeddings of
graphs with the same number of qub... | An objective function that returns True if new uses fewer qubits
than old, and False otherwise. This objective function should only be
used to compare embeddings of the same graph (or at least embeddings of
graphs with the same number of qubits).
INPUTS:
old (tuple): a tupl... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L931-L963 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._find_evil | def _find_evil(self):
"""A utility function that computes a list of missing couplers which
should connect two working qubits in the same cell. The presence
of (a nonconstant number of) these breaks the polynomial-time
claim for our algorithm. Note: we're only actually hurt by missing
... | python | def _find_evil(self):
"""A utility function that computes a list of missing couplers which
should connect two working qubits in the same cell. The presence
of (a nonconstant number of) these breaks the polynomial-time
claim for our algorithm. Note: we're only actually hurt by missing
... | A utility function that computes a list of missing couplers which
should connect two working qubits in the same cell. The presence
of (a nonconstant number of) these breaks the polynomial-time
claim for our algorithm. Note: we're only actually hurt by missing
intercell couplers. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L965-L983 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor.largestNativeClique | def largestNativeClique(self, max_chain_length=None):
"""Returns the largest native clique embedding we can find on the
processor, with the shortest chainlength possible (for that clique
size). If possible, returns a uniform choice among all largest
cliques.
INPUTS:
... | python | def largestNativeClique(self, max_chain_length=None):
"""Returns the largest native clique embedding we can find on the
processor, with the shortest chainlength possible (for that clique
size). If possible, returns a uniform choice among all largest
cliques.
INPUTS:
... | Returns the largest native clique embedding we can find on the
processor, with the shortest chainlength possible (for that clique
size). If possible, returns a uniform choice among all largest
cliques.
INPUTS:
max_chain_length (int): longest chain length to consider or ``No... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1011-L1036 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor.nativeCliqueEmbed | def nativeCliqueEmbed(self, width):
"""Compute a maximum-sized native clique embedding in an induced
subgraph of chimera with chainsize ``width+1``. If possible,
returns a uniform choice among all largest cliques.
INPUTS:
width: width of the squares to search, also `chainle... | python | def nativeCliqueEmbed(self, width):
"""Compute a maximum-sized native clique embedding in an induced
subgraph of chimera with chainsize ``width+1``. If possible,
returns a uniform choice among all largest cliques.
INPUTS:
width: width of the squares to search, also `chainle... | Compute a maximum-sized native clique embedding in an induced
subgraph of chimera with chainsize ``width+1``. If possible,
returns a uniform choice among all largest cliques.
INPUTS:
width: width of the squares to search, also `chainlength-1`
OUTPUT:
clique: a ... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1038-L1062 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor.largestNativeBiClique | def largestNativeBiClique(self, chain_imbalance=0, max_chain_length=None):
"""Returns a native embedding for the complete bipartite graph :math:`K_{n,m}`
for `n <= m`; where `n` is as large as possible and `m` is as large as
possible subject to `n`. The native embedding of a complete bipartite
... | python | def largestNativeBiClique(self, chain_imbalance=0, max_chain_length=None):
"""Returns a native embedding for the complete bipartite graph :math:`K_{n,m}`
for `n <= m`; where `n` is as large as possible and `m` is as large as
possible subject to `n`. The native embedding of a complete bipartite
... | Returns a native embedding for the complete bipartite graph :math:`K_{n,m}`
for `n <= m`; where `n` is as large as possible and `m` is as large as
possible subject to `n`. The native embedding of a complete bipartite
graph is a set of horizontally-aligned qubits connected in lines
toget... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1064-L1098 |
dwavesystems/dwave-system | dwave/embedding/polynomialembedder.py | processor._translate | def _translate(self, embedding):
"Translates an embedding back to linear coordinates if necessary."
if embedding is None:
return None
if not self._linear:
return embedding
return [_bulk_to_linear(self.M, self.N, self.L, chain) for chain in embedding] | python | def _translate(self, embedding):
"Translates an embedding back to linear coordinates if necessary."
if embedding is None:
return None
if not self._linear:
return embedding
return [_bulk_to_linear(self.M, self.N, self.L, chain) for chain in embedding] | Translates an embedding back to linear coordinates if necessary. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/polynomialembedder.py#L1152-L1158 |
dwavesystems/dwave-system | dwave/system/composites/virtual_graph.py | _validate_chain_strength | def _validate_chain_strength(sampler, chain_strength):
"""Validate the provided chain strength, checking J-ranges of the sampler's children.
Args:
chain_strength (float) The provided chain strength. Use None to use J-range.
Returns (float):
A valid chain strength, either provided or based... | python | def _validate_chain_strength(sampler, chain_strength):
"""Validate the provided chain strength, checking J-ranges of the sampler's children.
Args:
chain_strength (float) The provided chain strength. Use None to use J-range.
Returns (float):
A valid chain strength, either provided or based... | Validate the provided chain strength, checking J-ranges of the sampler's children.
Args:
chain_strength (float) The provided chain strength. Use None to use J-range.
Returns (float):
A valid chain strength, either provided or based on available J-range. Positive finite float. | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/virtual_graph.py#L368-L392 |
dwavesystems/dwave-system | dwave/system/composites/virtual_graph.py | VirtualGraphComposite.sample | def sample(self, bqm, apply_flux_bias_offsets=True, **kwargs):
"""Sample from the given Ising model.
Args:
h (list/dict):
Linear biases of the Ising model. If a list, the list's indices
are used as variable labels.
J (dict of (int, int):float):
... | python | def sample(self, bqm, apply_flux_bias_offsets=True, **kwargs):
"""Sample from the given Ising model.
Args:
h (list/dict):
Linear biases of the Ising model. If a list, the list's indices
are used as variable labels.
J (dict of (int, int):float):
... | Sample from the given Ising model.
Args:
h (list/dict):
Linear biases of the Ising model. If a list, the list's indices
are used as variable labels.
J (dict of (int, int):float):
Quadratic biases of the Ising model.
apply_fl... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/composites/virtual_graph.py#L299-L365 |
dwavesystems/dwave-system | dwave/system/flux_bias_offsets.py | get_flux_biases | def get_flux_biases(sampler, embedding, chain_strength, num_reads=1000, max_age=3600):
"""Get the flux bias offsets for sampler and embedding.
Args:
sampler (:obj:`.DWaveSampler`):
A D-Wave sampler.
embedding (dict[hashable, iterable]):
Mapping from a source graph to th... | python | def get_flux_biases(sampler, embedding, chain_strength, num_reads=1000, max_age=3600):
"""Get the flux bias offsets for sampler and embedding.
Args:
sampler (:obj:`.DWaveSampler`):
A D-Wave sampler.
embedding (dict[hashable, iterable]):
Mapping from a source graph to th... | Get the flux bias offsets for sampler and embedding.
Args:
sampler (:obj:`.DWaveSampler`):
A D-Wave sampler.
embedding (dict[hashable, iterable]):
Mapping from a source graph to the specified sampler’s graph (the target graph). The
keys of embedding should be no... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/system/flux_bias_offsets.py#L26-L88 |
dwavesystems/dwave-system | dwave/embedding/chimera.py | find_clique_embedding | def find_clique_embedding(k, m, n=None, t=None, target_edges=None):
"""Find an embedding for a clique in a Chimera graph.
Given a target :term:`Chimera` graph size, and a clique (fully connect graph),
attempts to find an embedding.
Args:
k (int/iterable):
Clique to embed. If k is a... | python | def find_clique_embedding(k, m, n=None, t=None, target_edges=None):
"""Find an embedding for a clique in a Chimera graph.
Given a target :term:`Chimera` graph size, and a clique (fully connect graph),
attempts to find an embedding.
Args:
k (int/iterable):
Clique to embed. If k is a... | Find an embedding for a clique in a Chimera graph.
Given a target :term:`Chimera` graph size, and a clique (fully connect graph),
attempts to find an embedding.
Args:
k (int/iterable):
Clique to embed. If k is an integer, generates an embedding for a clique of size k
labell... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/chimera.py#L27-L106 |
dwavesystems/dwave-system | dwave/embedding/chimera.py | find_biclique_embedding | def find_biclique_embedding(a, b, m, n=None, t=None, target_edges=None):
"""Find an embedding for a biclique in a Chimera graph.
Given a target :term:`Chimera` graph size, and a biclique (a bipartite graph where every
vertex in a set in connected to all vertices in the other set), attempts to find an embed... | python | def find_biclique_embedding(a, b, m, n=None, t=None, target_edges=None):
"""Find an embedding for a biclique in a Chimera graph.
Given a target :term:`Chimera` graph size, and a biclique (a bipartite graph where every
vertex in a set in connected to all vertices in the other set), attempts to find an embed... | Find an embedding for a biclique in a Chimera graph.
Given a target :term:`Chimera` graph size, and a biclique (a bipartite graph where every
vertex in a set in connected to all vertices in the other set), attempts to find an embedding.
Args:
a (int/iterable):
Left shore of the bicliqu... | https://github.com/dwavesystems/dwave-system/blob/86a1698f15ccd8b0ece0ed868ee49292d3f67f5b/dwave/embedding/chimera.py#L111-L171 |
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