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twisted/twisted | dee676b040dd38b847ea6fb112a712cb5e119490 | src/twisted/mail/mail.py | python | MailService.getPOP3Factory | (self) | return protocols.POP3Factory(self) | Create a POP3 protocol factory.
@rtype: L{POP3Factory}
@return: A POP3 protocol factory. | Create a POP3 protocol factory. | [
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"""
Create a POP3 protocol factory.
@rtype: L{POP3Factory}
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"""
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bslatkin/effectivepython | 4ae6f3141291ea137eb29a245bf889dbc8091713 | example_code/item_46.py | python | Homework.__init__ | (self) | [] | def __init__(self):
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ansible/ansible-modules-core | 00911a75ad6635834b6d28eef41f197b2f73c381 | network/nxos/nxos_vrf_af.py | python | CustomNetworkConfig.add | (self, lines, parents=None) | Adds one or lines of configuration | Adds one or lines of configuration | [
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## global config command
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QUANTAXIS/QUANTAXIS | d6eccb97c8385854aa596d6ba8d70ec0655519ff | config/data_init.py | python | datamodelx.__init__ | (self, market, frequence) | current support
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合约类型 说明
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current support
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skorokithakis/goatfish | 6e202ce9bbc81f5915390253c73260b7bd374be5 | goatfish/models.py | python | Model.find | (cls, **parameters) | Query the database for rows. | Query the database for rows. | [
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aiven/pghoard | 1de0d2e33bf087b7ce3b6af556bbf941acfac3a4 | pghoard/common.py | python | extract_pghoard_delta_v1_metadata | (fileobj) | return _extract_metadata(fileobj) | [] | def extract_pghoard_delta_v1_metadata(fileobj):
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freedombox/FreedomBox | 335a7f92cc08f27981f838a7cddfc67740598e54 | plinth/frontpage.py | python | Shortcut._list_for_user | (cls, username=None) | return shortcuts | Return menu items for a particular user or anonymous user. | Return menu items for a particular user or anonymous user. | [
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google/timesketch | 1ce6b60e125d104e6644947c6f1dbe1b82ac76b6 | api_client/python/timesketch_api_client/search.py | python | Search.remove_chip | (self, chip_index) | Remove a chip from the saved search. | Remove a chip from the saved search. | [
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cloudera/impyla | 0c736af4cad2bade9b8e313badc08ec50e81c948 | impala/_thrift_gen/hive_metastore/ThriftHiveMetastore.py | python | create_database_result.validate | (self) | return | [] | def validate(self):
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vim-scripts/UltiSnips | 5f88199e373a7eea4644b8dc1ff433688e8f2ebd | pythonx/UltiSnips/_vim.py | python | escape | (inp) | return conv(inp) | Creates a vim-friendly string from a group of
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home-assistant-libs/pytradfri | ef2614b0ccdf628abc3b9559dc00b95ec6e4bd72 | pytradfri/api/aiocoap_api.py | python | APIFactory._execute | (self, api_command, timeout) | return api_command.result | Execute the command. | Execute the command. | [
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ztosec/hunter | 4ee5cca8dc5fc5d7e631e935517bd0f493c30a37 | SqlmapCelery/sqlmap/thirdparty/bottle/bottle.py | python | FileUpload.filename | (self) | return fname[:255] or 'empty' | Name of the file on the client file system, but normalized to ensure
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securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/whoosh/src/whoosh/searching.py | python | Searcher.avg_field_length | (self, fieldname, default=None) | return self.field_length(fieldname) / (self._doccount or 1) | [] | def avg_field_length(self, fieldname, default=None):
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oracle/graalpython | 577e02da9755d916056184ec441c26e00b70145c | graalpython/lib-python/3/idlelib/pyshell.py | python | PyShell.ispythonsource | (self, filename) | return True | Override EditorWindow method: never remove the colorizer | Override EditorWindow method: never remove the colorizer | [
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esrlabs/git-repo | 09f5180b06edb337b95c03af6a1f770646703a5d | project.py | python | Project._ExtractArchive | (self, tarpath, path=None) | return False | Extract the given tar on its current location
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mcedit/mcedit2 | 4bb98da521447b6cf43d923cea9f00acf2f427e9 | src/mceditlib/worldeditor.py | python | WorldEditor.getWorldVersionInfo | (self) | return self.adapter.getWorldVersionInfo() | Returns a named tuple indicating the latest version of Minecraft that has played this world.
The named tuple will have the following fields:
format: The string "java" for Java Edition worlds.
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IntelAI/models | 1d7a53ccfad3e6f0e7378c9e3c8840895d63df8c | models/language_translation/tensorflow/transformer_mlperf/training/bfloat16/transformer/model/beam_search.py | python | _gather_beams | (nested, beam_indices, batch_size, new_beam_size) | return nest.map_structure(
lambda state: tf.gather_nd(state, coordinates), nested) | Gather beams from nested structure of tensors.
Each tensor in nested represents a batch of beams, where beam refers to a
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meraki/dashboard-api-python | aef5e6fe5d23a40d435d5c64ff30580a28af07f1 | meraki/api/batch/wireless.py | python | ActionBatchWireless.createNetworkWirelessSsidIdentityPsk | (self, networkId: str, number: str, name: str, groupPolicyId: str, **kwargs) | return action | **Create an Identity PSK**
https://developer.cisco.com/meraki/api-v1/#!create-network-wireless-ssid-identity-psk
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- number (string): (required)
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TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 5bb97d7e3ffd913abddb4cfa7d78a1b4c868890e | tensorflow_dl_models/research/inception/inception/slim/variables.py | python | get_variables_to_restore | () | return tf.get_collection(VARIABLES_TO_RESTORE)[:] | Gets the list of variables to restore.
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/networkx/algorithms/bipartite/projection.py | python | generic_weighted_projected_graph | (B, nodes, weight_function=None) | return G | r"""Weighted projection of B with a user-specified weight function.
The bipartite network B is projected on to the specified nodes
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cobbler/cobbler | eed8cdca3e970c8aa1d199e80b8c8f19b3f940cc | cobbler/remote.py | python | CobblerXMLRPCInterface.run_install_triggers | (self, mode, objtype, name, ip, token=None, **rest) | return True | This is a feature used to run the pre/post install triggers.
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robotlearn/pyrobolearn | 9cd7c060723fda7d2779fa255ac998c2c82b8436 | pyrobolearn/physics/link_physics_randomizer.py | python | LinkPhysicsRandomizer.local_inertia_diagonals | (self) | return [self.simulator.get_dynamics_info(body_id=self.body.id, link_id=link)[2] for link in self.links] | Return the local inertial diagonal of each specified link. | Return the local inertial diagonal of each specified link. | [
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huawei-noah/vega | d9f13deede7f2b584e4b1d32ffdb833856129989 | vega/algorithms/hpo/sha_base/boss.py | python | BOSS.best_config | (self) | Get current best score config.
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aspiers/git-deps | 5dd7f4c4b6d4d771c5b6866b8256eb1bad632843 | git_deps/detector.py | python | DependencyDetector.branch_contains | (self, commit, branch) | return result | [] | def branch_contains(self, commit, branch):
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branch_commit = self.get_commit(branch)
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josiahcarlson/rom | c35aa66a623c356324c3691da8a0bc7687c6f48b | rom/model.py | python | Model.get_by | (cls, **kwargs) | This method offers a simple query method for fetching entities of this
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user = User.get_by(email_address='user@domain.com')
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pyparallel/pyparallel | 11e8c6072d48c8f13641925d17b147bf36ee0ba3 | Lib/site-packages/numpy-1.10.0.dev0_046311a-py3.3-win-amd64.egg/numpy/lib/financial.py | python | mirr | (values, finance_rate, reinvest_rate) | return (numer/denom)**(1.0/(n - 1))*(1 + reinvest_rate) - 1 | Modified internal rate of return.
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entropy1337/infernal-twin | 10995cd03312e39a48ade0f114ebb0ae3a711bb8 | Modules/build/pillow/PIL/ImageChops.py | python | invert | (image) | return image._new(image.im.chop_invert()) | Invert an image (channel).
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mesalock-linux/mesapy | ed546d59a21b36feb93e2309d5c6b75aa0ad95c9 | pypy/module/cpyext/memoryobject.py | python | memory_realize | (space, obj) | return w_obj | Creates the memory object in the interpreter | Creates the memory object in the interpreter | [
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | homeassistant/helpers/script.py | python | _ScriptRun._async_delay_step | (self) | Handle delay. | Handle delay. | [
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nipy/nibabel | 4703f4d8e32be4cec30e829c2d93ebe54759bb62 | nibabel/cifti2/cifti2_axes.py | python | BrainModelAxis.get_element | (self, index) | return element_type, struct[index], self.name[index] | Describes a single element from the axis
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pik-copan/pyunicorn | b18316fc08ef34b434a1a4d69dfe3e57e24435ee | pyunicorn/timeseries/inter_system_recurrence_network.py | python | InterSystemRecurrenceNetwork.cross_global_clustering_yx | (self) | return self.cross_global_clustering(np.arange(self.N_x, self.N),
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WeblateOrg/weblate | 8126f3dda9d24f2846b755955132a8b8410866c8 | weblate/auth/utils.py | python | migrate_groups | (model, role_model, update=False) | Create groups as defined in the data. | Create groups as defined in the data. | [
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PowerScript/KatanaFramework | 0f6ad90a88de865d58ec26941cb4460501e75496 | lib/future/src/future/backports/xmlrpc/server.py | python | DocCGIXMLRPCRequestHandler.handle_get | (self) | Handles the HTTP GET request.
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mdiazcl/fuzzbunch-debian | 2b76c2249ade83a389ae3badb12a1bd09901fd2c | windows/Resources/Python/Core/Lib/decimal.py | python | Decimal.adjusted | (self) | Return the adjusted exponent of self | Return the adjusted exponent of self | [
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gvalkov/python-evdev | 5adc2abf1ec8a02c05c80cb1b3e34ba1d4237803 | evdev/events.py | python | KeyEvent.__init__ | (self, event, allow_unknown=False) | The ``allow_unknown`` argument determines what to do in the event of a event code
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SheffieldML/GPy | bb1bc5088671f9316bc92a46d356734e34c2d5c0 | GPy/models/gp_regression.py | python | GPRegression.__init__ | (self, X, Y, kernel=None, Y_metadata=None, normalizer=None, noise_var=1., mean_function=None) | [] | def __init__(self, X, Y, kernel=None, Y_metadata=None, normalizer=None, noise_var=1., mean_function=None):
if kernel is None:
kernel = kern.RBF(X.shape[1])
likelihood = likelihoods.Gaussian(variance=noise_var)
super(GPRegression, self).__init__(X, Y, kernel, likelihood, name='GP r... | [
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vlachoudis/bCNC | 67126b4894dabf6579baf47af8d0f9b7de35e6e3 | bCNC/lib/bpath.py | python | Path.fromDxf | (self, dxf, layer, units=0) | [] | def fromDxf(self, dxf, layer, units=0):
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self.color = entity.color()
A = dxf.convert(entity.start(), units)
B = dxf.convert(entity.end(), units)
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apache/tvm | 6eb4ed813ebcdcd9558f0906a1870db8302ff1e0 | python/tvm/relay/dataflow_pattern/__init__.py | python | is_tuple | (fields: tvm.ir.container.Array) | return TuplePattern(fields) | Syntatic sugar for creating an ExprPattern.
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----------
fields : Array[tvm.relay.dataflow_pattern.DFPattern]
The fields in the tuple.
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result: tvm.relay.dataflow_pattern.DFPattern
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Syntatic sugar for creating an ExprPattern.
Parameters
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fields : Array[tvm.relay.dataflow_pattern.DFPattern]
The fields in the tuple.
Returns
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result: tvm.relay.dataflow_pattern.DFPattern
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ajinabraham/OWASP-Xenotix-XSS-Exploit-Framework | cb692f527e4e819b6c228187c5702d990a180043 | external/Scripting Engine/Xenotix Python Scripting Engine/bin/x86/Debug/Lib/distutils/command/config.py | python | config.check_func | (self, func, headers=None, include_dirs=None,
libraries=None, library_dirs=None, decl=0, call=0) | return self.try_link(body, headers, include_dirs,
libraries, library_dirs) | Determine if function 'func' is available by constructing a
source file that refers to 'func', and compiles and links it.
If everything succeeds, returns true; otherwise returns false.
The constructed source file starts out by including the header
files listed in 'headers'. If 'decl' i... | Determine if function 'func' is available by constructing a
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rockingdingo/deepnlp | dac9793217e513ec19f1bbcc1c119b0b7bbdb883 | deepnlp/ner/models/freeze_graph.py | python | _parse_input_saver_proto | (input_saver, input_binary) | return saver_def | Parser input tensorflow Saver into SaverDef proto. | Parser input tensorflow Saver into SaverDef proto. | [
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"""Parser input tensorflow Saver into SaverDef proto."""
if not gfile.Exists(input_saver):
print("Input saver file '" + input_saver + "' does not exist!")
return -1
mode = "rb" if input_binary else "r"
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yt-project/yt | dc7b24f9b266703db4c843e329c6c8644d47b824 | yt/frontends/chombo/data_structures.py | python | ChomboHierarchy._setup_derived_fields | (self) | [] | def _setup_derived_fields(self):
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IronLanguages/ironpython3 | 7a7bb2a872eeab0d1009fc8a6e24dca43f65b693 | Src/StdLib/Lib/email/headerregistry.py | python | BaseHeader.name | (self) | return self._name | [] | def name(self):
return self._name | [
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nkolot/SPIN | 5c796852ca7ca7373e104e8489aa5864323fbf84 | utils/renderer.py | python | Renderer.__call__ | (self, vertices, camera_translation, image) | return output_img | [] | def __call__(self, vertices, camera_translation, image):
material = pyrender.MetallicRoughnessMaterial(
metallicFactor=0.2,
alphaMode='OPAQUE',
baseColorFactor=(0.8, 0.3, 0.3, 1.0))
camera_translation[0] *= -1.
mesh = trimesh.Trimesh(vertices, self.faces)
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chenguanyou/weixin_YiQi | ad86ed8061f4f5fa88b6600a9b0809e5bb3bfd08 | backend/Yiqi/Yiqi/utils/weixin_util/weixin/lib/WXBizMsgCrypt.py | python | Prpcrypt.encrypt | (self, text, appid) | 对明文进行加密
@param text: 需要加密的明文
@return: 加密得到的字符串 | 对明文进行加密 | [
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"""对明文进行加密
@param text: 需要加密的明文
@return: 加密得到的字符串
"""
# 16位随机字符串添加到明文开头
pack_str = struct.pack(b"I", socket.htonl(len(text)))
text = smart_bytes(self.get_random_str()) + pack_str + smart_bytes(text) + smart_bytes(appid)
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EmuKit/emukit | cdcb0d070d7f1c5585260266160722b636786859 | emukit/examples/multi_fidelity_dgp/multi_fidelity_deep_gp.py | python | MultiFidelityDeepGP._make_inducing_points | (X: List, Y: List) | return Z | Makes inducing points at every other training point location which is deafult behaviour if no inducing point
locations are passed
:param X: training locations
:param Y: training targets
:return: List of numpy arrays containing inducing point locations | Makes inducing points at every other training point location which is deafult behaviour if no inducing point
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Makes inducing points at every other training point location which is deafult behaviour if no inducing point
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geomet/geomet | f7cfaa350cde44a16db21d2678ef5d245e7afda5 | geomet/util.py | python | as_bin_str | (a_list) | [] | def as_bin_str(a_list):
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freelawproject/courtlistener | ab3ae7bb6e5e836b286749113e7dbb403d470912 | cl/simple_pages/views.py | python | about | (request: HttpRequest) | return render(request, "about.html", {"private": False}) | Loads the about page | Loads the about page | [
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ritchie46/anaStruct | cfd9dff89834ea85ed07d2e4877deecbdc4d0403 | anastruct/fem/elements.py | python | Element.hinges | (self) | return out | Node ids of hinges on element | Node ids of hinges on element | [
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Node ids of hinges on element
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out = []
assert self.springs is not None
for k, v in self.springs.items():
if v == 0:
if k == 1:
out.append(self.node_id1)
if k == 2:
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edfungus/Crouton | ada98b3930192938a48909072b45cb84b945f875 | clients/esp8266_clients/venv/lib/python2.7/site-packages/pip/download.py | python | _download_http_url | (link, session, temp_dir) | return file_path, content_type | Download link url into temp_dir using provided session | Download link url into temp_dir using provided session | [
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"""Download link url into temp_dir using provided session"""
target_url = link.url.split('#', 1)[0]
try:
resp = session.get(
target_url,
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oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Lib/curses/ascii.py | python | isalnum | (c) | return isalpha(c) or isdigit(c) | [] | def isalnum(c): return isalpha(c) or isdigit(c) | [
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ARISE-Initiative/robosuite | a5dfaf03cd769170881a1931d8f19c8eb72f531a | robosuite/renderers/base_parser.py | python | BaseParser.parse_geometries | (self) | Iterate through each goemetry and load it in the iGibson renderer. | Iterate through each goemetry and load it in the iGibson renderer. | [
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"""
Iterate through each goemetry and load it in the iGibson renderer.
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home-assistant/core | 265ebd17a3f17ed8dc1e9bdede03ac8e323f1ab1 | docs/source/conf.py | python | linkcode_resolve | (domain, info) | return f"{GITHUB_URL}/blob/{code_branch}/{fn}{linespec}" | Determine the URL corresponding to Python object. | Determine the URL corresponding to Python object. | [
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"""Determine the URL corresponding to Python object."""
if domain != "py":
return None
modname = info["module"]
fullname = info["fullname"]
submod = sys.modules.get(modname)
if submod is None:
return None
obj = submod
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pypa/pipenv | b21baade71a86ab3ee1429f71fbc14d4f95fb75d | pipenv/patched/notpip/_internal/utils/encoding.py | python | auto_decode | (data: bytes) | return data.decode(
locale.getpreferredencoding(False) or sys.getdefaultencoding(),
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Fallback to locale.getpreferredencoding(False) like open() on Python3"""
for bom, encoding in BOMS:
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brian-team/brian2 | c212a57cb992b766786b5769ebb830ff12d8a8ad | brian2/monitors/spikemonitor.py | python | EventMonitor.it | (self) | return self.i, self.t | Returns the pair (`i`, `t`). | Returns the pair (`i`, `t`). | [
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Returns the pair (`i`, `t`).
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tztztztztz/eql.detectron2 | 29224acf4ea549c53264e6229da69868bd5470f3 | detectron2/checkpoint/c2_model_loading.py | python | convert_c2_detectron_names | (weights) | return new_weights, new_keys_to_original_keys | Map Caffe2 Detectron weight names to Detectron2 names.
Args:
weights (dict): name -> tensor
Returns:
dict: detectron2 names -> tensor
dict: detectron2 names -> C2 names | Map Caffe2 Detectron weight names to Detectron2 names. | [
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Map Caffe2 Detectron weight names to Detectron2 names.
Args:
weights (dict): name -> tensor
Returns:
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dict: detectron2 names -> C2 names
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logger = logging.getLogger(__name__)
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GalSim-developers/GalSim | a05d4ec3b8d8574f99d3b0606ad882cbba53f345 | setup.py | python | try_openmp | (compiler, cc_type) | return success | If cc --version is not helpful, the last resort is to try each compiler type and see
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tensorflow/model-analysis | e38c23ce76eff039548ce69e3160ed4d7984f2fc | tensorflow_model_analysis/post_export_metrics/metrics.py | python | calibration_plot | (predictions: types.TensorType,
labels: types.TensorType,
left: float,
right: float,
num_buckets: int,
weights: Optional[types.TensorType] = None
) | return value_op, update_op | Calibration plot for predictions in [left, right].
A calibration plot contains multiple buckets, based on the prediction.
Each bucket contains:
(i) the weighted sum of predictions that fall within that bucket
(ii) the weighted sum of labels associated with those predictions
(iii) the sum of weights of the... | Calibration plot for predictions in [left, right]. | [
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right: float,
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weights: Optional[types.TensorType] = None
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meejah/txtorcon | 7da6ad6f91c395951be1b4e7e1011baa2f7a689f | txtorcon/onion.py | python | IAuthenticatedOnionClients.get_permanent_id | (self) | :return: the service's permanent id, in hex
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plotly/plotly.py | cfad7862594b35965c0e000813bd7805e8494a5b | packages/python/plotly/plotly/graph_objs/scattermapbox/_stream.py | python | Stream.maxpoints | (self) | return self["maxpoints"] | Sets the maximum number of points to keep on the plots from an
incoming stream. If `maxpoints` is set to 50, only the newest
50 points will be displayed on the plot.
The 'maxpoints' property is a number and may be specified as:
- An int or float in the interval [0, 10000]
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Source-Python-Dev-Team/Source.Python | d0ffd8ccbd1e9923c9bc44936f20613c1c76b7fb | addons/source-python/packages/site-packages/sqlalchemy/engine/interfaces.py | python | Dialect.get_isolation_level | (self, dbapi_conn) | Given a DBAPI connection, return its isolation level.
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hyperledger/aries-cloudagent-python | 2f36776e99f6053ae92eed8123b5b1b2e891c02a | aries_cloudagent/vc/ld_proofs/document_loader.py | python | DocumentLoader._load_sync | (self, url: str, options: dict) | return loop.run_until_complete(self._load_async(url, options)) | Run document loader in event loop to make it async.
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thunlp/OpenQA | e8faddca287c81cb52ac904ba8980734ea40a03c | src/reader/layers.py | python | BilinearSeqAttn2.forward | (self, x, y, x_mask, y_mask) | return xy_column, xy_row | Args:
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y: batch * len2 * hdim
x_mask: batch * len1 (1 for padding, 0 for true) -> batch* len1*len2
y_mask: batch * len2
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edisonlz/fastor | 342078a18363ac41d3c6b1ab29dbdd44fdb0b7b3 | base/site-packages/requests/cookies.py | python | RequestsCookieJar.iteritems | (self) | Dict-like iteritems() that returns an iterator of name-value tuples
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Azure/batch-shipyard | d6da749f9cd678037bd520bc074e40066ea35b56 | convoy/util.py | python | on_windows | () | return _ON_WINDOWS | Execution on Windows
:rtype: bool
:return: if on Windows | Execution on Windows
:rtype: bool
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# type: (None) -> bool
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livid/v2ex-gae | 32be3a77d535e7c9df85a333e01ab8834d0e8581 | mapreduce/lib/graphy/backends/google_chart_api/encoders.py | python | BaseChartEncoder.Url | (self, width, height, use_html_entities=False) | return util.EncodeUrl(self.url_base, params, self.escape_url,
use_html_entities) | Get the URL for our graph.
Args:
use_html_entities: If True, reserved HTML characters (&, <, >, ") in the
URL are replaced with HTML entities (&, <, etc.). Default is False. | Get the URL for our graph. | [
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"""Get the URL for our graph.
Args:
use_html_entities: If True, reserved HTML characters (&, <, >, ") in the
URL are replaced with HTML entities (&, <, etc.). Default is False.
"""
self._width = width
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securesystemslab/zippy | ff0e84ac99442c2c55fe1d285332cfd4e185e089 | zippy/benchmarks/src/benchmarks/sympy/sympy/printing/mathml.py | python | MathMLPrinter._print_Function | (self, e) | return x | [] | def _print_Function(self, e):
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celery/kombu | 853b13f1d018ebfe7ad2d064a3111cac9fcf5383 | kombu/transport/SQS.py | python | Channel._create_queue | (self, queue_name, attributes) | return self.sqs(queue=queue_name).create_queue(
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# Allow specifying additional boto create_queue Attributes
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if self.predefined_queues:
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nltk/nltk | 3f74ac55681667d7ef78b664557487145f51eb02 | nltk/sentiment/util.py | python | demo_sent_subjectivity | (text) | Classify a single sentence as subjective or objective using a stored
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:param text: a sentence whose subjectivity has to be classified. | Classify a single sentence as subjective or objective using a stored
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"""
Classify a single sentence as subjective or objective using a stored
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:param text: a sentence whose subjectivity has to be classified.
"""
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spesmilo/electrum | bdbd59300fbd35b01605e66145458e5f396108e8 | electrum/gui/qt/util.py | python | InfoButton.onclick | (self) | [] | def onclick(self):
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huggingface/transformers | 623b4f7c63f60cce917677ee704d6c93ee960b4b | src/transformers/models/longformer/modeling_longformer.py | python | LongformerLMHead.__init__ | (self, config) | [] | def __init__(self, config):
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self.dense = nn.Linear(config.hidden_size, config.hidden_size)
self.layer_norm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
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axnsan12/drf-yasg | d9700dbf8cc80d725a7db485c2d4446c19c29840 | src/drf_yasg/openapi.py | python | Responses.__init__ | (self, responses, default=None, **extra) | Describes the expected responses of an :class:`.Operation`.
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:type responses: dict[str or int,Response]
:param Response default: description of the response structure ... | [
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securityclippy/elasticintel | aa08d3e9f5ab1c000128e95161139ce97ff0e334 | whois_lambda/ipwhois/asn.py | python | IPASN.parse_fields_verbose_dns | (self, response) | return ret | The function for parsing ASN fields from a verbose dns response.
Args:
response (:obj:`str`): The response from the ASN dns server.
Returns:
dict: The ASN lookup results
::
{
'asn' (str) - The Autonomous System Number
... | The function for parsing ASN fields from a verbose dns response. | [
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] | def parse_fields_verbose_dns(self, response):
"""
The function for parsing ASN fields from a verbose dns response.
Args:
response (:obj:`str`): The response from the ASN dns server.
Returns:
dict: The ASN lookup results
::
{
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sagemath/sage | f9b2db94f675ff16963ccdefba4f1a3393b3fe0d | src/sage/combinat/constellation.py | python | Constellation_class.genus | (self) | return 1 - self.euler_characteristic() // 2 | r"""
Return the genus of the surface.
EXAMPLES::
sage: c = Constellation(['(0,1)', '(0,2)', None])
sage: c.genus()
0
sage: c = Constellation(['(0,1)(2,3,4)','(1,3,4)(2,0)', None])
sage: c.genus()
1
TESTS::
s... | r"""
Return the genus of the surface. | [
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"Return",
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"genus",
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] | def genus(self):
r"""
Return the genus of the surface.
EXAMPLES::
sage: c = Constellation(['(0,1)', '(0,2)', None])
sage: c.genus()
0
sage: c = Constellation(['(0,1)(2,3,4)','(1,3,4)(2,0)', None])
sage: c.genus()
1
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JaniceWuo/MovieRecommend | 4c86db64ca45598917d304f535413df3bc9fea65 | movierecommend/venv1/Lib/site-packages/django/db/models/query.py | python | QuerySet.aggregate | (self, *args, **kwargs) | return query.get_aggregation(self.db, kwargs.keys()) | Returns a dictionary containing the calculations (aggregation)
over the current queryset
If args is present the expression is passed as a kwarg using
the Aggregate object's default alias. | Returns a dictionary containing the calculations (aggregation)
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"""
Returns a dictionary containing the calculations (aggregation)
over the current queryset
If args is present the expression is passed as a kwarg using
the Aggregate object's default alias.
"""
if self.query.distinct_fields... | [
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china-testing/python-api-tesing | edd141d07b6ff53470aa357df9db7e1655d9cb4c | practices/ping3.py | python | Pinger.receive_pong | (self, sock, ID, timeout) | Receive ping from the socket. | Receive ping from the socket. | [
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] | def receive_pong(self, sock, ID, timeout):
"""
Receive ping from the socket.
"""
time_remaining = timeout
while True:
start_time = time.time()
readable = select.select([sock], [], [], time_remaining)
time_spent = (time.time() - start_time)
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tensorflow/lingvo | ce10019243d954c3c3ebe739f7589b5eebfdf907 | lingvo/tasks/car/evaluation_metadata.py | python | EvaluationMetadata.EvalClassIndices | (self) | return [self.ClassNames().index(name) for name in eval_classes] | List of int32 indices for the classes that should be evaled. | List of int32 indices for the classes that should be evaled. | [
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"""List of int32 indices for the classes that should be evaled."""
eval_classes = sorted(self.IoUThresholds().keys())
return [self.ClassNames().index(name) for name in eval_classes] | [
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ambakick/Person-Detection-and-Tracking | f925394ac29b5cf321f1ce89a71b193381519a0b | core/preprocessor.py | python | ssd_random_crop_fixed_aspect_ratio | (
image,
boxes,
labels,
label_scores=None,
multiclass_scores=None,
masks=None,
keypoints=None,
min_object_covered=(0.0, 0.1, 0.3, 0.5, 0.7, 0.9, 1.0),
aspect_ratio=1.0,
area_range=((0.1, 1.0),) * 7,
overlap_thresh=(0.0, 0.1, 0.3, 0.5, 0.7, 0.9, 1.0),
random_coef=(0.15,) *... | return result | Random crop preprocessing with default parameters as in SSD paper.
Liu et al., SSD: Single shot multibox detector.
For further information on random crop preprocessing refer to RandomCrop
function above.
The only difference is that the aspect ratio of the crops are fixed.
Args:
image: rank 3 float32 te... | Random crop preprocessing with default parameters as in SSD paper. | [
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] | def ssd_random_crop_fixed_aspect_ratio(
image,
boxes,
labels,
label_scores=None,
multiclass_scores=None,
masks=None,
keypoints=None,
min_object_covered=(0.0, 0.1, 0.3, 0.5, 0.7, 0.9, 1.0),
aspect_ratio=1.0,
area_range=((0.1, 1.0),) * 7,
overlap_thresh=(0.0, 0.1, 0.3, 0.5, 0.7... | [
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oilshell/oil | 94388e7d44a9ad879b12615f6203b38596b5a2d3 | Python-2.7.13/Lib/decimal.py | python | Decimal._round_half_down | (self, prec) | Round 5 down | Round 5 down | [
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] | def _round_half_down(self, prec):
"""Round 5 down"""
if _exact_half(self._int, prec):
return -1
else:
return self._round_half_up(prec) | [
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virantha/pypdfocr | acc5e13763224267e897865fccafbf51e13725e9 | pypdfocr/pypdfocr_pdf.py | python | PyPdf.add_text_layer | (self,pdf, hocrfile, page_num,height, dpi) | Draw an invisible text layer for OCR data.
This function really needs to get cleaned up | Draw an invisible text layer for OCR data. | [
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] | def add_text_layer(self,pdf, hocrfile, page_num,height, dpi):
"""Draw an invisible text layer for OCR data.
This function really needs to get cleaned up
"""
hocr = ElementTree()
try:
# It's possible tesseract has failed and written garbage to this hocr file, so we need... | [
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blawar/nut | 2cf351400418399a70164987e28670309f6c9cb5 | nut.py | python | exportNcaMap | (path) | [] | def exportNcaMap(path):
nut.initTitles()
nut.initFiles()
map = {}
i = 0
for id, title in Titles.items():
print(id)
try:
nsp = title.getLatestFile()
if not nsp:
continue
nsp.open(args.info, 'r+b')
map[id] = {}
map[id]['version'] = int(title.version)
map[id]['files'] = []
for f in ... | [
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maas/maas | db2f89970c640758a51247c59bf1ec6f60cf4ab5 | src/provisioningserver/security.py | python | InstallSharedSecretScript.run | (args) | Install a shared-secret to this cluster.
When invoked interactively, you'll be prompted to enter the secret.
Otherwise the secret will be read from the first line of stdin.
In both cases, the secret must be hex/base16 encoded. | Install a shared-secret to this cluster. | [
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"""Install a shared-secret to this cluster.
When invoked interactively, you'll be prompted to enter the secret.
Otherwise the secret will be read from the first line of stdin.
In both cases, the secret must be hex/base16 encoded.
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AustinMurphy/OBD2-Scantool | 2a1412330b58a6eea010d724b690034dea7175c1 | obd2_reader.py | python | OBD2reader.reset | (self) | Resets device | Resets device | [
"Resets",
"device"
] | def reset(self):
""" Resets device"""
#
if self.debug > 1:
print "Sending reset command..."
#
if self.State != 1:
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raise self.ErrorNotConnected("Can't reset reader")
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filerock/FileRock-Client | 37214f701666e76e723595f8f9ed238a42f6eb06 | filerockclient/config.py | python | ConfigManager.get | (self, section, option, raw=False, vars=None) | return ConfigParser.SafeConfigParser.get(
self, section, option, raw=raw, vars=vars) | Overrides the class get method, returns PROXY_PORT if server_port
or linking_port are asked and proxy support is enabled.
Note: all getX() methods are affected by this override. | Overrides the class get method, returns PROXY_PORT if server_port
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"""
Overrides the class get method, returns PROXY_PORT if server_port
or linking_port are asked and proxy support is enabled.
Note: all getX() methods are affected by this override.
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facebookresearch/BLINK | 5fe254dd64d37332347edc73738edcb56096183f | elq/biencoder/biencoder.py | python | BiEncoderModule.get_raw_ctxt_encoding | (
self,
token_idx_ctxt,
segment_idx_ctxt,
mask_ctxt,
) | return raw_ctxt_encoding | Gets raw, shared context embeddings from BERT,
to be used by both mention detector and entity linker
Returns:
torch.FloatTensor (bsz, seqlen, embed_dim) | Gets raw, shared context embeddings from BERT,
to be used by both mention detector and entity linker | [
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] | def get_raw_ctxt_encoding(
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segment_idx_ctxt,
mask_ctxt,
):
"""
Gets raw, shared context embeddings from BERT,
to be used by both mention detector and entity linker
Returns:
torch.FloatTensor (bsz, seqlen, embe... | [
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holzschu/Carnets | 44effb10ddfc6aa5c8b0687582a724ba82c6b547 | Library/lib/python3.7/site-packages/numpy-1.16.0-py3.7-macosx-10.9-x86_64.egg/numpy/polynomial/chebyshev.py | python | _zseries_to_cseries | (zs) | return c | Covert z-series to a Chebyshev series.
Covert a z series to the equivalent Chebyshev series. The result is
never an empty array. The dtype of the return is the same as that of
the input. No checks are run on the arguments as this routine is for
internal use.
Parameters
----------
zs : 1-D ... | Covert z-series to a Chebyshev series. | [
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] | def _zseries_to_cseries(zs):
"""Covert z-series to a Chebyshev series.
Covert a z series to the equivalent Chebyshev series. The result is
never an empty array. The dtype of the return is the same as that of
the input. No checks are run on the arguments as this routine is for
internal use.
Par... | [
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FederatedAI/FATE | 32540492623568ecd1afcb367360133616e02fa3 | python/federatedml/ensemble/boosting/hetero/hetero_secureboost_guest.py | python | HeteroSecureBoostingTreeGuest.predict | (self, data_inst, ret_format='std') | [] | def predict(self, data_inst, ret_format='std'):
# standard format, leaf indices, raw score
assert ret_format in ['std', 'leaf', 'raw'], 'illegal ret format'
LOGGER.info('running prediction')
cache_dataset_key = self.predict_data_cache.get_data_key(data_inst)
processed_data = s... | [
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missionpinball/mpf | 8e6b74cff4ba06d2fec9445742559c1068b88582 | mpf/modes/credits/code/credits.py | python | Credits._control_coin_inhibit | (self) | Physically prevent or allow a player to insert coins depending on our state. | Physically prevent or allow a player to insert coins depending on our state. | [
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] | def _control_coin_inhibit(self):
"""Physically prevent or allow a player to insert coins depending on our state."""
if self.credits_config['coin_inhibit_disable_output']:
if not self.machine.settings.get_setting_value('free_play') and \
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... | https://github.com/missionpinball/mpf/blob/8e6b74cff4ba06d2fec9445742559c1068b88582/mpf/modes/credits/code/credits.py#L149-L156 | ||
joschabach/micropsi2 | 74a2642d20da9da1d64acc5e4c11aeabee192a27 | micropsi_core/runtime.py | python | get_nodenet | (nodenet_uid) | return nodenets[nodenet_uid] | Returns the nodenet with the given uid, and loads into memory if necessary.
Returns None if nodenet does not exist | Returns the nodenet with the given uid, and loads into memory if necessary.
Returns None if nodenet does not exist | [
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Returns None if nodenet does not exist"""
if nodenet_uid not in nodenets:
if nodenet_uid in get_available_nodenets():
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Nihilate/Roboragi | be8d2164383953f1466b22b64eda4ad2db7189e4 | roboragi/DatabaseHandler.py | python | addComment | (commentid, requester, subreddit, hadRequest) | Adds a comment to the "already seen" database. Also handles submissions,
which have a similar ID structure. | Adds a comment to the "already seen" database. Also handles submissions,
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"""
query = """
INSERT INTO comments (commentid, requester, subreddit, hadRequest)
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"""
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IBM/lale | b4d6829c143a4735b06083a0e6c70d2cca244162 | lale/lib/autoai_libs/numpy_replace_missing_values.py | python | _NumpyReplaceMissingValuesImpl.fit | (self, X, y=None) | return self | [] | def fit(self, X, y=None):
self._wrapped_model.fit(X, y)
return self | [
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tp4a/teleport | 1fafd34f1f775d2cf80ea4af6e44468d8e0b24ad | server/www/packages/packages-linux/x64/tornado/template.py | python | _TemplateReader.consume | (self, count: int = None) | return s | [] | def consume(self, count: int = None) -> str:
if count is None:
count = len(self.text) - self.pos
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self.line += self.text.count("\n", self.pos, newpos)
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ajinabraham/OWASP-Xenotix-XSS-Exploit-Framework | cb692f527e4e819b6c228187c5702d990a180043 | external/Scripting Engine/packages/IronPython.StdLib.2.7.4/content/Lib/telnetlib.py | python | Telnet.read_sb_data | (self) | return buf | Return any data available in the SB ... SE queue.
Return '' if no SB ... SE available. Should only be called
after seeing a SB or SE command. When a new SB command is
found, old unread SB data will be discarded. Don't block. | Return any data available in the SB ... SE queue. | [
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Return '' if no SB ... SE available. Should only be called
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dimagi/commcare-hq | d67ff1d3b4c51fa050c19e60c3253a79d3452a39 | corehq/apps/export/views/utils.py | python | ODataFeedMixin.page_context | (self) | return context | [] | def page_context(self):
context = super(ODataFeedMixin, self).page_context
context['format_options'] = ["odata"]
return context | [
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tribe29/checkmk | 6260f2512e159e311f426e16b84b19d0b8e9ad0c | cmk/base/plugins/agent_based/cisco_mem_asa.py | python | _idem_check_cisco_mem | (
value_store: MutableMapping[str, Any],
item: str,
params: Mapping[str, Any],
section: Section,
) | >>> vs = {}
>>> for result in _idem_check_cisco_mem(
... vs,
... "MEMPOOL_DMA",
... {
... 'trend_perfdata': True,
... 'trend_range': 24,
... 'trend_showtimeleft': True,
... 'trend_timeleft': (12, 6)},
... ... | >>> vs = {}
>>> for result in _idem_check_cisco_mem(
... vs,
... "MEMPOOL_DMA",
... {
... 'trend_perfdata': True,
... 'trend_range': 24,
... 'trend_showtimeleft': True,
... 'trend_timeleft': (12, 6)},
... ... | [
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value_store: MutableMapping[str, Any],
item: str,
params: Mapping[str, Any],
section: Section,
) -> CheckResult:
"""
>>> vs = {}
>>> for result in _idem_check_cisco_mem(
... vs,
... "MEMPOOL_DMA",
... {
... 'trend... | [
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gpodder/mygpo | 7a028ad621d05d4ca0d58fd22fb92656c8835e43 | mygpo/web/templatetags/flickr.py | python | is_flickr_photo | (url) | return flickr.is_flickr_image(url) | [] | def is_flickr_photo(url):
return flickr.is_flickr_image(url) | [
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out0fmemory/GoAgent-Always-Available | c4254984fea633ce3d1893fe5901debd9f22c2a9 | server/lib/google/appengine/api/appinfo.py | python | URLMap.AssertUniqueContentType | (self) | Makes sure that self.http_headers is consistent with self.mime_type.
Assumes self is a static handler i.e. either self.static_dir or
self.static_files is set (to not None).
Raises:
appinfo_errors.ContentTypeSpecifiedMultipleTimes: Raised when
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Assumes self is a static handler i.e. either self.static_dir or
self.static_files is set (to not None).
Raises:
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learningequality/ka-lite | 571918ea668013dcf022286ea85eff1c5333fb8b | kalite/topic_tools/content_models.py | python | create | (item, **kwargs) | Wrapper around create that allows us to specify a database
and also parse the model data to compress extra fields.
:param item: A dictionary containing content metadata for one node.
:return Item | Wrapper around create that allows us to specify a database
and also parse the model data to compress extra fields.
:param item: A dictionary containing content metadata for one node.
:return Item | [
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"""
Wrapper around create that allows us to specify a database
and also parse the model data to compress extra fields.
:param item: A dictionary containing content metadata for one node.
:return Item
"""
if item:
return Item.create(**parse_model_data(item)... | [
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ucsb-seclab/leakless | 94c01b4b67b870b7fbe45a257f28498f5f4762d6 | rangeset.py | python | RangeSet.max | (self) | return self.ends[-1][0] | [] | def max(self):
return self.ends[-1][0] | [
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missionpinball/mpf | 8e6b74cff4ba06d2fec9445742559c1068b88582 | mpf/core/segment_mappings.py | python | FourteenSegments.get_apc_encoding | (self) | return bytes([
(self.dp << 7) | (self.g1 << 6) | (self.f << 5) | (self.e << 4) | (self.a << 3) | (self.b << 2) |
(self.c << 1) | self.d,
(self.l << 7) | (self.dp << 6) | (self.n << 5) | (self.m << 4) | (self.k << 3) | (self.g2 << 2) |
(self.h << 1) | self.j]) | Return segment in d, c, b, a, e, f, g, comma + j, h, m, k, p, r, dp, n order. | Return segment in d, c, b, a, e, f, g, comma + j, h, m, k, p, r, dp, n order. | [
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"""Return segment in d, c, b, a, e, f, g, comma + j, h, m, k, p, r, dp, n order."""
return bytes([
(self.dp << 7) | (self.g1 << 6) | (self.f << 5) | (self.e << 4) | (self.a << 3) | (self.b << 2) |
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LumaPictures/pymel | fa88a3f4fa18e09bb8aa9bdf4dab53d984bada72 | pymel/util/mathutils.py | python | linstep | (min, max, x) | return linmap(min, max, x) | Returns the value of a linear step function.
Returns 0 if x < min, 1 if x > max, and performs a linear
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# type: (Any, Any, Any) -> float
"""Returns the value of a linear step function.
Returns 0 if x < min, 1 if x > max, and performs a linear
interpolation between 0 and 1 in the interval min to max.
:rtype: float
"""
if x < min:
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if x > max:
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