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pyparallel/pyparallel | 11e8c6072d48c8f13641925d17b147bf36ee0ba3 | Lib/queue.py | python | Queue.put_nowait | (self, item) | return self.put(item, block=False) | Put an item into the queue without blocking.
Only enqueue the item if a free slot is immediately available.
Otherwise raise the Full exception. | Put an item into the queue without blocking. | [
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] | def put_nowait(self, item):
'''Put an item into the queue without blocking.
Only enqueue the item if a free slot is immediately available.
Otherwise raise the Full exception.
'''
return self.put(item, block=False) | [
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Vector35/binaryninja-api | d9661f34eec6855d495a10eaafc2a8e2679756a7 | python/platform.py | python | Platform.fastcall_calling_convention | (self, value) | Sets the fastcall calling convention | Sets the fastcall calling convention | [
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"""
Sets the fastcall calling convention
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kubeflow/pipelines | bea751c9259ff0ae85290f873170aae89284ba8e | backend/api/python_http_client/kfp_server_api/api_client.py | python | ApiClient.request | (self, method, url, query_params=None, headers=None,
post_params=None, body=None, _preload_content=True,
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cuthbertLab/music21 | bd30d4663e52955ed922c10fdf541419d8c67671 | music21/chord/__init__.py | python | Chord.duration | (self, durationObj) | Set a Duration object. | Set a Duration object. | [
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'''
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bruderstein/PythonScript | df9f7071ddf3a079e3a301b9b53a6dc78cf1208f | PythonLib/full/importlib/resources.py | python | path | (
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resource: Resource,
) | return (
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if reader
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OpenAgricultureFoundation/openag-device-software | a51d2de399c0a6781ae51d0dcfaae1583d75f346 | device/resource/manager.py | python | ResourceManager.free_memory | (self, value: str) | Safely updates value in shared state. | Safely updates value in shared state. | [
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implus/PytorchInsight | 2864528f8b83f52c3df76f7c3804aa468b91e5cf | classification/imagenet_fast.py | python | train | (train_loader, model, criterion, optimizer, epoch, use_cuda) | return (losses.avg, top1.avg) | [] | def train(train_loader, model, criterion, optimizer, epoch, use_cuda):
printflag = False
# switch to train mode
model.train()
torch.set_grad_enabled(True)
batch_time = AverageMeter()
losses = AverageMeter()
top1 = AverageMeter()
top5 = AverageMeter()
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statsmodels/statsmodels | debbe7ea6ba28fe5bdb78f09f8cac694bef98722 | statsmodels/genmod/families/links.py | python | CLogLog.__call__ | (self, p) | return np.log(-np.log(1 - p)) | C-Log-Log transform link function
Parameters
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p : ndarray
Mean parameters
Returns
-------
z : ndarray
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g(p) = log(-log(1-p)) | C-Log-Log transform link function | [
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p : ndarray
Mean parameters
Returns
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z : ndarray
The CLogLog transform of `p`
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Tuxemon/Tuxemon | ee80708090525391c1dfc43849a6348aca636b22 | tuxemon/menu/menu.py | python | Menu.search_items | (self, game_object: Any) | return None | Non-optimised search through menu_items for a particular thing.
TODO: address the confusing name "game object".
Parameters:
game_object: Object to search in the menu.
Returns:
Menu item containing the object, if any. | Non-optimised search through menu_items for a particular thing. | [
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"""
Non-optimised search through menu_items for a particular thing.
TODO: address the confusing name "game object".
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game_object: Object to search in the menu.
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frappe/frappe | b64cab6867dfd860f10ccaf41a4ec04bc890b583 | frappe/database/database.py | python | Database.count | (self, dt, filters=None, debug=False, cache=False) | Returns `COUNT(*)` for given DocType and filters. | Returns `COUNT(*)` for given DocType and filters. | [
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if cache and not filters:
cache_count = frappe.cache().get_value('doctype:count:{}'.format(dt))
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pykaldi/pykaldi | b4e7a15a31286e57c01259edfda54d113b5ceb0e | kaldi/fstext/_api.py | python | _FstBase.input_symbols | (self) | return self._input_symbols() | Returns the input symbol table.
Returns:
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Returns the input symbol table.
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davidoren/CuckooSploit | 3fce8183bee8f7917e08f765ce2a01c921f86354 | utils/db_migration/env.py | python | run_migrations_online | () | Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context. | Run migrations in 'online' mode.
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engine = create_engine(url, poolclass=pool.NullPool)
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anchore/anchore-engine | bb18b70e0cbcad58beb44cd439d00067d8f7ea8b | anchore_engine/services/policy_engine/engine/tasks.py | python | GrypeDBSyncTask.execute | (self) | Runs the GrypeDBSyncTask by calling the GrypeDBSyncManager. | Runs the GrypeDBSyncTask by calling the GrypeDBSyncManager. | [
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"""
Runs the GrypeDBSyncTask by calling the GrypeDBSyncManager.
"""
with session_scope() as session:
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kiwiz/gkeepapi | 229d2981bd18a6b2acc058017f84298af4fbe824 | gkeepapi/__init__.py | python | RemindersAPI.history | (self, storage_version) | return self.send(
url=self._base_url + 'history',
method='POST',
json=params
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Args:
storage_version (str): The local storage version.
Returns:
???
Raises:
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Args:
storage_version (str): The local storage version.
Returns:
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Raises:
APIException: If the server returns an error.
"""
params = {
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natanielruiz/deep-head-pose | f7bbb9981c2953c2eca67748d6492a64c8243946 | code/hopenet.py | python | ResNet.__init__ | (self, block, layers, num_classes=1000) | [] | def __init__(self, block, layers, num_classes=1000):
self.inplanes = 64
super(ResNet, self).__init__()
self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3,
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self.bn1 = nn.BatchNorm2d(64)
self.relu = nn.ReLU(inplace=True)
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ladybug-tools/honeybee-legacy | bd62af4862fe022801fb87dbc8794fdf1dff73a9 | src/Honeybee_Grid Based Simulation.py | python | main | () | return recipe | [] | def main():
# check for Honeybee
if not sc.sticky.has_key('honeybee_release'):
msg = "You should first let Honeybee to fly..."
w = gh.GH_RuntimeMessageLevel.Warning
ghenv.Component.AddRuntimeMessage(w, msg)
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pulp/pulp | a0a28d804f997b6f81c391378aff2e4c90183df9 | agent/pulp/agent/lib/report.py | python | RebootReport.set_succeeded | (self, details=None, num_changes=0) | @param details: The details of the reboot.
@type details: dict | [] | def set_succeeded(self, details=None, num_changes=0):
"""
@param details: The details of the reboot.
@type details: dict
"""
HandlerReport.set_succeeded(self, details, num_changes)
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bruderstein/PythonScript | df9f7071ddf3a079e3a301b9b53a6dc78cf1208f | PythonLib/min/ssl.py | python | PEM_cert_to_DER_cert | (pem_cert_string) | return base64.decodebytes(d.encode('ASCII', 'strict')) | Takes a certificate in ASCII PEM format and returns the
DER-encoded version of it as a byte sequence | Takes a certificate in ASCII PEM format and returns the
DER-encoded version of it as a byte sequence | [
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if not pem_cert_string.startswith(PEM_HEADER):
raise ValueError("Invalid PEM encoding; must start with %s"
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google-research/electra | 8a46635f32083ada044d7e9ad09604742600ee7b | model/modeling.py | python | layer_norm | (input_tensor, name=None) | return contrib_layers.layer_norm(
inputs=input_tensor, begin_norm_axis=-1, begin_params_axis=-1, scope=name) | Run layer normalization on the last dimension of the tensor. | Run layer normalization on the last dimension of the tensor. | [
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"""Run layer normalization on the last dimension of the tensor."""
return contrib_layers.layer_norm(
inputs=input_tensor, begin_norm_axis=-1, begin_params_axis=-1, scope=name) | [
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Source-Python-Dev-Team/Source.Python | d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb | addons/source-python/Python3/logging/config.py | python | DictConfigurator.configure_formatter | (self, config) | return result | Configure a formatter from a dictionary. | Configure a formatter from a dictionary. | [
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Karmenzind/fp-server | 931fca8fab9d7397c52cf9e76a76b1c60e190403 | src/core/middleware.py | python | Middleware.prepare | (self, request) | 在HTTP请求的方法执行之前，执行此函数
@param request HTTP请求实例 | 在HTTP请求的方法执行之前，执行此函数 | [
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""" 在HTTP请求的方法执行之前，执行此函数
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theotherp/nzbhydra | 4b03d7f769384b97dfc60dade4806c0fc987514e | libs/poplib.py | python | POP3.dele | (self, which) | return self._shortcmd('DELE %s' % which) | Delete message number 'which'.
Result is 'response'. | Delete message number 'which'. | [
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"""Delete message number 'which'.
Result is 'response'.
"""
return self._shortcmd('DELE %s' % which) | [
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tomplus/kubernetes_asyncio | f028cc793e3a2c519be6a52a49fb77ff0b014c9b | kubernetes_asyncio/client/models/v1_session_affinity_config.py | python | V1SessionAffinityConfig.__repr__ | (self) | return self.to_str() | For `print` and `pprint` | For `print` and `pprint` | [
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nadineproject/nadine | c41c8ef7ffe18f1853029c97eecc329039b4af6c | doors/keymaster/views.py | python | add_key | (request) | return render(request, 'keymaster/add_key.html', context) | [] | def add_key(request):
username = request.POST.get("username", "")
code = request.POST.get("code", "")
# Try and find one and only one user for this username
user = None
if username:
user_search = User.objects.filter(username=username)
if not user_search:
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drckf/paysage | 85ef951be2750e13c0b42121b40e530689bdc1f4 | paysage/backends/common.py | python | maybe_key | (dictionary, key, default=None, func=do_nothing) | Compute func(dictionary['key']) when dictionary has key key, else return default.
Args:
dictionary (dict)
default (optional; any): default return value
func (callable)
Returns:
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Compute func(dictionary['key']) when dictionary has key key, else return default.
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sfyc23/EverydayWechat | 6b81d03dde92cfef584428bc1e59d2858e94204e | everyday_wechat/control/calendar/rt_calendar.py | python | get_rtcalendar | (date='') | return None | 获取指定日期的节假日及万年历信息
https://github.com/MZCretin/RollToolsApi#指定日期的节假日及万年历信息
:param data: str 日期 格式 yyyyMMdd
:rtype str | 获取指定日期的节假日及万年历信息
https://github.com/MZCretin/RollToolsApi#指定日期的节假日及万年历信息
:param data: str 日期 格式 yyyyMMdd
:rtype str | [
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"""
获取指定日期的节假日及万年历信息
https://github.com/MZCretin/RollToolsApi#指定日期的节假日及万年历信息
:param data: str 日期 格式 yyyyMMdd
:rtype str
"""
date_ = date or datetime.now().strftime('%Y%m%d')
print('获取 {} 的日历...'.format(date_))
try:
resp = requests.get('https://... | [
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openhatch/oh-mainline | ce29352a034e1223141dcc2f317030bbc3359a51 | vendor/packages/whoosh/src/whoosh/support/numeric.py | python | split_range | (valsize, step, start, end) | Splits a range of numbers (from ``start`` to ``end``, inclusive)
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googleads/google-ads-python | 2a1d6062221f6aad1992a6bcca0e7e4a93d2db86 | google/ads/googleads/v8/services/services/campaign_asset_service/transports/base.py | python | CampaignAssetServiceTransport.__init__ | (
self,
*,
host: str = "googleads.googleapis.com",
credentials: ga_credentials.Credentials = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) | Instantiate the transport.
Args:
host (Optional[str]):
The hostname to connect to.
credentials (Optional[google.auth.credentials.Credentials]): The
authorization credentials to attach to requests. These
credentials identify the applicatio... | Instantiate the transport. | [
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] | def __init__(
self,
*,
host: str = "googleads.googleapis.com",
credentials: ga_credentials.Credentials = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiate the transport.
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natural/java2python | b8037561c542522ae620e0a071ecc7e668461587 | java2python/compiler/visitor.py | python | MethodContent.acceptAssert | (self, node, memo) | Accept and process an assert statement. | Accept and process an assert statement. | [
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yangyanli/PointCNN | aa551ce5258dbf4f73db0d916826574f054dd3b9 | pointnetpp_cls/utils/pointnet_util.py | python | sample_and_group_all | (l3_input_shape,xyz, points, use_xyz=True) | return new_xyz, new_points, idx, grouped_xyz | Inputs:
xyz: (batch_size, ndataset, 3) TF tensor
points: (batch_size, ndataset, channel) TF tensor, if None will just use xyz as points
use_xyz: bool, if True concat XYZ with local point features, otherwise just use point features
Outputs:
new_xyz: (batch_size, 1, 3) as (0,0,0)
... | Inputs:
xyz: (batch_size, ndataset, 3) TF tensor
points: (batch_size, ndataset, channel) TF tensor, if None will just use xyz as points
use_xyz: bool, if True concat XYZ with local point features, otherwise just use point features
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new_xyz: (batch_size, 1, 3) as (0,0,0)
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points: (batch_size, ndataset, channel) TF tensor, if None will just use xyz as points
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blampe/IbPy | cba912d2ecc669b0bf2980357ea7942e49c0825e | ib/ext/EReader.py | python | EReader.__init__ | (self, parent, dis) | generated source for method __init__ | generated source for method __init__ | [
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/pip/_vendor/requests/packages/chardet/chardistribution.py | python | EUCTWDistributionAnalysis.get_order | (self, aBuf) | [] | def get_order(self, aBuf):
# for euc-TW encoding, we are interested
# first byte range: 0xc4 -- 0xfe
# second byte range: 0xa1 -- 0xfe
# no validation needed here. State machine has done that
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dfirtrack/dfirtrack | d405e9e2520f3f95372883e6543fa2aa7dac0121 | dfirtrack_main/exporter/markdown/write_report.py | python | write_reason | (django_report, system) | reason | reason | [
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] | def write_reason(django_report, system):
"""reason"""
django_report.write("## Identification / Reason for investigation\n")
emptyline(django_report)
if system.reason != None:
django_report.write(system.reason.reason_name + "\n")
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monologg/KoELECTRA | 8c0db734d27ef0c9c1903cebbb4b68b6577e36d2 | finetune/processor/ner.py | python | InputExample.to_json_string | (self) | return json.dumps(self.to_dict(), indent=2, sort_keys=True) + "\n" | Serializes this instance to a JSON string. | Serializes this instance to a JSON string. | [
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Antergos/Cnchi | 13ac2209da9432d453e0097cf48a107640b563a9 | src/misc/extra.py | python | partition_exists | (partition) | return exists | Check if a partition already exists | Check if a partition already exists | [
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""" Check if a partition already exists """
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partition = partition[len("/dev/"):]
exists = False
with open("/proc/partitions") as partitions:
if partition in partitions.read():
exists = True
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/django/contrib/gis/db/models/functions.py | python | GeoFunc.name | (self) | return self.__class__.__name__ | [] | def name(self):
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hfslyc/AdvSemiSeg | 841d546c927605747594be726622363bf781cefb | evaluate_voc.py | python | main | () | Create the model and start the evaluation process. | Create the model and start the evaluation process. | [
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model = Res_Deeplab(num_classes=args.num_classes)
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google/clusterfuzz | f358af24f414daa17a3649b143e71ea71871ef59 | src/clusterfuzz/_internal/google_cloud_utils/compute_engine.py | python | add_metadata | (instance_name, project, zone, key, value, wait_for_completion) | return _do_operation_with_retries(operation, project, zone,
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Komodo/KomodoEdit | 61edab75dce2bdb03943b387b0608ea36f548e8e | contrib/bugsnag-python/2.3.1/configuration.py | python | RequestConfiguration.get_instance | (cls) | return instance | Get this thread's instance of the RequestConfiguration. | Get this thread's instance of the RequestConfiguration. | [
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openhatch/oh-mainline | ce29352a034e1223141dcc2f317030bbc3359a51 | vendor/packages/twisted/twisted/words/protocols/irc.py | python | ServerSupportedFeatures.isupport_KICKLEN | (self, params) | return _intOrDefault(params[0]) | Maximum length of a kick message a client may provide. | Maximum length of a kick message a client may provide. | [
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bruderstein/PythonScript | df9f7071ddf3a079e3a301b9b53a6dc78cf1208f | PythonLib/full/random.py | python | _randbelow_with_getrandbits | (self, n) | return r | Return a random int in the range [0,n). Returns 0 if n==0. | Return a random int in the range [0,n). Returns 0 if n==0. | [
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wucng/TensorExpand | 4ea58f64f5c5082b278229b799c9f679536510b7 | TensorExpand/Object detection/RFCN/RFCN-tensorflow/Dataset/CocoDataset.py | python | CocoDataset.__init__ | (self, path, set="train2017", normalizeSize=True, randomZoom=True) | [] | def __init__(self, path, set="train2017", normalizeSize=True, randomZoom=True):
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vindimy/altcointip | 83c9fac2dd980ee5a71d3ed4a1cbbcab646e018d | src/ctb/ctb_action.py | python | CtbAction.update | (self, state=None) | return True | Update action state in database | Update action state in database | [
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aplpy/aplpy | 241f744a33e7dee677718bd690ea52fbba3628d7 | aplpy/overlays.py | python | Scalebar._set_scalebar_properties | (self, **kwargs) | Modify the scalebar properties.
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axcore/tartube | 36dd493642923fe8b9190a41db596c30c043ae90 | tartube/mainapp.py | python | TartubeApp.update_container_url | (self, data_list) | Called by config.SystemPrefWin.on_container_url_edited().
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wistbean/fxxkpython | 88e16d79d8dd37236ba6ecd0d0ff11d63143968c | vip/qyxuan/projects/venv/lib/python3.6/site-packages/pip-19.0.3-py3.6.egg/pip/_vendor/distlib/locators.py | python | AggregatingLocator.get_distribution_names | (self) | return result | Return all the distribution names known to this locator. | Return all the distribution names known to this locator. | [
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danecjensen/subscribely | 4d6ac60358b5fe26f0c01be68f1ba063df3b1ea0 | src/pkg_resources.py | python | WorkingSet.require | (self, *requirements) | return needed | Ensure that distributions matching `requirements` are activated
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JiYou/openstack | 8607dd488bde0905044b303eb6e52bdea6806923 | chap19/monitor/monitor/build/lib.linux-x86_64-2.7/monitor/api/openstack/wsgi.py | python | ResponseObject.__init__ | (self, obj, code=None, **serializers) | Binds serializers with an object.
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IQTLabs/poseidon | eee58df1628bb8412f8d19676ddcda9c01ca9535 | src/core/core/helpers/rabbit.py | python | Rabbit.make_rabbit_connection | (self, host, port, exchange, keys,
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Chaffelson/nipyapi | d3b186fd701ce308c2812746d98af9120955e810 | nipyapi/nifi/models/cluster_entity.py | python | ClusterEntity.to_dict | (self) | return result | Returns the model properties as a dict | Returns the model properties as a dict | [
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ray-project/ray | 703c1610348615dcb8c2d141a0c46675084660f5 | python/ray/util/client/server/proxier.py | python | DataServicerProxy.modify_connection_info_resp | (self,
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golismero/golismero | 7d605b937e241f51c1ca4f47b20f755eeefb9d76 | golismero/api/data/information/fingerprint.py | python | OSFingerprint.__init__ | (self, cpe, accuracy,
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Instagram/LibCST | 13370227703fe3171e94c57bdd7977f3af696b73 | libcst/matchers/_matcher_base.py | python | _ExtractMatchingNode.name | (self) | return self._name | The name we will call our captured LibCST node inside the resulting dictionary
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_flaskbb/lib/python2.7/site-packages/sqlalchemy/sql/type_api.py | python | TypeEngine.with_variant | (self, type_, dialect_name) | return Variant(self, {dialect_name: to_instance(type_)}) | Produce a new type object that will utilize the given
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bmuller/twistar | 1eb46ff2577473e0a26932ee57473e26203a3db2 | twistar/dbobject.py | python | DBObject.refresh | (self) | return self._config.refreshObj(self) | Update the properties for this object from the database.
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glutanimate/review-heatmap | c758478125b60a81c66c87c35b12b7968ec0a348 | src/review_heatmap/libaddon/_vendor/logging/__init__.py | python | Filterer.filter | (self, record) | return rv | Determine if a record is loggable by consulting all the filters.
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pymedusa/Medusa | 1405fbb6eb8ef4d20fcca24c32ddca52b11f0f38 | ext/github/PullRequestReview.py | python | PullRequestReview.body | (self) | return self._body.value | :type: string | :type: string | [
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jobovy/galpy | 8e6a230bbe24ce16938db10053f92eb17fe4bb52 | galpy/actionAngle/actionAngleAxi.py | python | actionAngleAxi.calcRapRperi | (self,**kwargs) | return self._rperirap | NAME:
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rlworkgroup/garage | b4abe07f0fa9bac2cb70e4a3e315c2e7e5b08507 | src/garage/np/_functions.py | python | truncate_tensor_dict | (tensor_dict, truncated_len) | return ret | Truncate dictionary of list of tensor.
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pywinauto/pywinauto | 7235e6f83edfd96a7aeb8bbf9fef7b8f3d912512 | pywinauto/linux/atspi_element_info.py | python | AtspiElementInfo.__hash__ | (self) | return hash((self._pid, self._root_id, self._runtime_id)) | Return a unique hash value based on the element's handle | Return a unique hash value based on the element's handle | [
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DeepWisdom/AutoDL | 48db4eb04d55ce69e93d4a3bdc24592bdb34a868 | AutoDL_sample_code_submission/Auto_Image/skeleton/projects/api/model.py | python | Model.__init__ | (self, metadata) | :param metadata: an AutoDLMetadata object. Its definition can be found in
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ahkab/ahkab | 1e8939194b689909b8184ce7eba478b485ff9e3a | ahkab/constants.py | python | Material.Eg | (self, T=Tref) | return (self.Eg_0 - self.alpha * T ** 2 / (self.beta + T)) | Energy gap of silicon at temperature ``T``
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ctxis/canape | 5f0e03424577296bcc60c2008a60a98ec5307e4b | CANAPE.Scripting/Lib/rfc822.py | python | AddrlistClass.getcomment | (self) | return self.getdelimited('(', ')\r', 1) | Get a parenthesis-delimited fragment from self's field. | Get a parenthesis-delimited fragment from self's field. | [
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zh217/aiochan | 1fd9bff74fd1092549c8969ea780cc39d2077497 | aiochan/channel.py | python | Chan.to_iterable | (self, buffer_size=1) | return item_gen() | Return an iterable containing the values in the channel.
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RealHacker/leetcode-solutions | 50b21ea270dd095bef0b21e4e8bd79c1f279a85a | 052_n_queens_ii/nqueens_ii.py | python | Solution.totalNQueens | (self, n) | return len(perms) | :type n: int
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LonamiWebs/Telethon | f9643bf7376a5953da2050a5361c9b465f7ee7d9 | telethon/extensions/binaryreader.py | python | BinaryReader.read | (self, length=-1) | return result | Read the given amount of bytes, or -1 to read all remaining. | Read the given amount of bytes, or -1 to read all remaining. | [
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soskek/bert-chainer | 22cc04afff4d31b6a10e36bb32837216ede22a49 | bert-tf/modeling.py | python | BertModel.get_sequence_output | (self) | return self.sequence_output | Gets final hidden layer of encoder.
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genforce/idinvert | 138266724c7c8709fa4b2565c1f8e648ae5c6641 | utils/editor.py | python | mix_style | (style_codes,
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s-leger/archipack | 5a6243bf1edf08a6b429661ce291dacb551e5f8a | pygeos/geomgraph.py | python | PlanarGraph.addNode | (self, node) | return self._nodes.addNode(node) | * Add a Node or create a new one when not found
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WebThingsIO/webthing-python | ddb74332eb6742f5d5332de8485060316ad2735e | webthing/property.py | python | Property.get_value | (self) | return self.value.get() | Get the current property value.
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baidu/Youtube-8M | 5ad9f3957ebedc2d1d572dea48c1fbcb55365249 | two_stream_lstm/data_provider.py | python | initHook | (obj, *file_list, **kwargs) | Define the type and size of input feature and label | Define the type and size of input feature and label | [
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OneDrive/onedrive-sdk-python | e5642f8cad8eea37a4f653c1a23dfcfc06c37110 | src/python2/request/subscriptions_collection.py | python | SubscriptionsCollectionRequestBuilder.request | (self, expand=None, select=None, top=None, order_by=None, options=None) | return req | Builds the SubscriptionsCollectionRequest
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google/flax | 89e1126cc43588c6946bc85506987dc812909575 | flax/linen/stochastic.py | python | Dropout.__call__ | (self, inputs, deterministic: Optional[bool] = None) | Applies a random dropout mask to the input.
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ANSSI-FR/polichombr | e2dc3874ae3d78c3b496e9656c9a6d1b88ae91e1 | polichombr/controllers/family.py | python | FamilyController.create | (name, parentfamily=None) | return family | @arg name: family name
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cuthbertLab/music21 | bd30d4663e52955ed922c10fdf541419d8c67671 | music21/chord/__init__.py | python | Chord.pitches | (self) | return pitches | Get or set a list or tuple of all Pitch objects in this Chord.
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linxid/Machine_Learning_Study_Path | 558e82d13237114bbb8152483977806fc0c222af | Machine Learning In Action/Chapter4-NaiveBayes/venv/Lib/site-packages/pkg_resources/_vendor/packaging/specifiers.py | python | Specifier._compare_not_equal | (self, prospective, spec) | return not self._compare_equal(prospective, spec) | [] | def _compare_not_equal(self, prospective, spec):
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huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | src/transformers/models/longformer/modeling_tf_longformer.py | python | TFLongformerSelfAttention._chunk | (hidden_states, window_overlap) | return chunked_hidden_states | convert into overlapping chunks. Chunk size = 2w, overlap size = w | convert into overlapping chunks. Chunk size = 2w, overlap size = w | [
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pantsbuild/pex | 473c6ac732ed4bc338b4b20a9ec930d1d722c9b4 | pex/vendor/_vendored/pip/pip/_vendor/pyparsing.py | python | unicode_set.alphas | (cls) | return u''.join(filter(unicode.isalpha, cls._get_chars_for_ranges())) | all alphabetic characters in this range | all alphabetic characters in this range | [
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openstack/cinder | 23494a6d6c51451688191e1847a458f1d3cdcaa5 | cinder/quota.py | python | QuotaEngine.__init__ | (self, quota_driver_class=None) | Initialize a Quota object. | Initialize a Quota object. | [
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CedricGuillemet/Imogen | ee417b42747ed5b46cb11b02ef0c3630000085b3 | bin/Lib/nntplib.py | python | _NNTPBase.date | (self) | return resp, _parse_datetime(date, None) | Process the DATE command.
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sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/combinat/cluster_algebra_quiver/cluster_seed.py | python | ClusterSeed.reorient | ( self, data ) | r"""
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zhl2008/awd-platform | 0416b31abea29743387b10b3914581fbe8e7da5e | web_hxb2/lib/python3.5/site-packages/urllib3/response.py | python | HTTPResponse.read | (self, amt=None, decode_content=None, cache_content=False) | return data | Similar to :meth:`httplib.HTTPResponse.read`, but with two additional
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ethereum/research | f64776763a8687cbe220421e292e6e45db3d9172 | mining/python_sha3.py | python | _convertStrToTable | (string, w, b) | return output | Convert a string of hex-chars to its 5x5 matrix representation
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quantopian/quantopian-algos | ec0fac6b5cfc84497957f7cbf3968ec559239d25 | pairtrade.py | python | place_orders | (context, data, zscore) | Buy spread if zscore is > 2, sell if zscore < .5. | Buy spread if zscore is > 2, sell if zscore < .5. | [
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RiotGames/cloud-inquisitor | 29a26c705381fdba3538b4efedb25b9e09b387ed | backend/cloud_inquisitor/app.py | python | CINQFlask.__register_notifiers | (self) | return notifiers | Lists all notifiers to be able to provide metadata for the frontend
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notifiers = {}
for entry_point in CINQ_PLUGINS['cloud_inquisitor.plugins.notifiers']['plugins']:
cls = entry_point.load()
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qibinlou/SinaWeibo-Emotion-Classification | f336fc104abd68b0ec4180fe2ed80fafe49cb790 | nltk/metrics/association.py | python | BigramAssocMeasures.phi_sq | (cls, *marginals) | return (float((n_ii*n_oo - n_io*n_oi)**2) /
((n_ii + n_io) * (n_ii + n_oi) * (n_io + n_oo) * (n_oi + n_oo))) | Scores bigrams using phi-square, the square of the Pearson correlation
coefficient. | Scores bigrams using phi-square, the square of the Pearson correlation
coefficient. | [
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"""Scores bigrams using phi-square, the square of the Pearson correlation
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"""
n_ii, n_io, n_oi, n_oo = cls._contingency(*marginals)
return (float((n_ii*n_oo - n_io*n_oi)**2) /
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Voulnet/barq | 6f1a68c57a4b6a88c587f7baea8f8b2f076a52ac | barq.py | python | set_aws_creds_inline | (aws_access_key_id, aws_secret_access_key, region_name, aws_session_token) | Set AWS credentials to the target account from the command line arguments directly, no prompts.
:param aws_access_key_id: access key id
:param aws_secret_access_key: access secret key
:param region_name: region name
:param aws_session_token: token, if any
:return: None | Set AWS credentials to the target account from the command line arguments directly, no prompts.
:param aws_access_key_id: access key id
:param aws_secret_access_key: access secret key
:param region_name: region name
:param aws_session_token: token, if any
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omz/PythonistaAppTemplate | f560f93f8876d82a21d108977f90583df08d55af | PythonistaAppTemplate/PythonistaKit.framework/pylib/decimal.py | python | Decimal.to_integral_exact | (self, rounding=None, context=None) | return ans | Rounds to a nearby integer.
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chribsen/simple-machine-learning-examples | dc94e52a4cebdc8bb959ff88b81ff8cfeca25022 | venv/lib/python2.7/site-packages/sklearn/utils/arpack.py | python | _aligned_zeros | (shape, dtype=float, order="C", align=None) | return data | Allocate a new ndarray with aligned memory.
Primary use case for this currently is working around a f2py issue
in Numpy 1.9.1, where dtype.alignment is such that np.zeros() does
not necessarily create arrays aligned up to it. | Allocate a new ndarray with aligned memory.
Primary use case for this currently is working around a f2py issue
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Netflix/hubcommander | 42086c705bb0cf470e6e863ffc6d43047b419823 | bot_components/parse_functions.py | python | extract_multiple_repo_names | (plugin_obj, repos, **kwargs) | return parsed_repos | Does what the above does, but does it for a comma separated list of repos.
:param plugin_obj:
:param repos:
:param kwargs:
:return: | Does what the above does, but does it for a comma separated list of repos.
:param plugin_obj:
:param repos:
:param kwargs:
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repo_list = repos.split(",")
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SteveDoyle2/pyNastran | eda651ac2d4883d95a34951f8a002ff94f642a1a | pyNastran/dev/bdf_vectorized2/cards/elements/masses.py | python | CONM2v.add | (self, eid, nid, mass, cid=0, X=None, I=None, comment='') | Creates a CONM2 card
Parameters
----------
eid : int
element id
nid : int
node id
mass : float
the mass of the CONM2
cid : int; default=0
coordinate frame of the offset (-1=absolute coordinates)
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"""
Creates a CONM2 card
Parameters
----------
eid : int
element id
nid : int
node id
mass : float
the mass of the CONM2
cid : int; default=0
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python/cpython | e13cdca0f5224ec4e23bdd04bb3120506964bc8b | Lib/asyncio/events.py | python | _get_running_loop | () | Return the running event loop or None.
This is a low-level function intended to be used by event loops.
This function is thread-specific. | Return the running event loop or None. | [
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"""Return the running event loop or None.
This is a low-level function intended to be used by event loops.
This function is thread-specific.
"""
# NOTE: this function is implemented in C (see _asynciomodule.c)
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if running_lo... | [
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DataDog/datadogpy | c71bd8de53aaeffedc5b1d3dd133354d1fa533b7 | datadog/api/metrics.py | python | Metric.send | (cls, metrics=None, attach_host_name=True, compress_payload=False, **single_metric) | return super(Metric, cls).send(
attach_host_name=attach_host_name, compress_payload=compress_payload, **metrics_dict
) | Submit a metric or a list of metrics to the metric API
A metric dictionary should consist of 5 keys: metric, points, host, tags, type (some of which optional),
see below:
:param metric: the name of the time series
:type metric: string
:param compress_payload: compress the paylo... | Submit a metric or a list of metrics to the metric API
A metric dictionary should consist of 5 keys: metric, points, host, tags, type (some of which optional),
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"""
Submit a metric or a list of metrics to the metric API
A metric dictionary should consist of 5 keys: metric, points, host, tags, type (some of which optional),
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AndreaCensi/contracts | bf6dac0a2867214d66f560257c773ba30d4a3136 | src/contracts/main.py | python | parse_flexible_spec | (spec) | spec can be either a Contract, a type, or a contract string.
In the latter case, the usual parsing takes place | spec can be either a Contract, a type, or a contract string.
In the latter case, the usual parsing takes place | [
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""" spec can be either a Contract, a type, or a contract string.
In the latter case, the usual parsing takes place"""
if isinstance(spec, Contract):
return spec
elif is_param_string(spec):
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Cadene/tensorflow-model-zoo.torch | 990b10ffc22d4c8eacb2a502f20415b4f70c74c2 | models/research/inception/inception/imagenet_data.py | python | ImagenetData.num_examples_per_epoch | (self) | Returns the number of examples in the data set. | Returns the number of examples in the data set. | [
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"""Returns the number of examples in the data set."""
# Bounding box data consists of 615299 bounding boxes for 544546 images.
if self.subset == 'train':
return 1281167
if self.subset == 'validation':
return 50000 | [
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openshift/openshift-tools | 1188778e728a6e4781acf728123e5b356380fe6f | openshift/installer/vendored/openshift-ansible-3.9.14-1/roles/lib_vendored_deps/library/oc_adm_manage_node.py | python | Yedit.write | (self) | return (True, self.yaml_dict) | write to file | write to file | [
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''' write to file '''
if not self.filename:
raise YeditException('Please specify a filename.')
if self.backup and self.file_exists():
shutil.copy(self.filename, self.filename + '.orig')
# Try to set format attributes if supported
try:
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catap/namebench | 9913a7a1a7955a3759eb18cbe73b421441a7a00f | nb_third_party/jinja2/environment.py | python | Template.is_up_to_date | (self) | return self._uptodate() | If this variable is `False` there is a newer version available. | If this variable is `False` there is a newer version available. | [
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if self._uptodate is None:
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return self._uptodate() | [
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/sympy/geometry/polygon.py | python | Triangle.circumcenter | (self) | return a.intersection(b)[0] | The circumcenter of the triangle
The circumcenter is the center of the circumcircle.
Returns
=======
circumcenter : Point
See Also
========
sympy.geometry.point.Point
Examples
========
>>> from sympy.geometry import Point, Triangle
... | The circumcenter of the triangle | [
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"""The circumcenter of the triangle
The circumcenter is the center of the circumcircle.
Returns
=======
circumcenter : Point
See Also
========
sympy.geometry.point.Point
Examples
========
>>> from symp... | [
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