| const token = localStorage.getItem('token') | |
| const response = await fetch(apiURL, { | |
| method: 'POST', | |
| headers: { | |
| 'Content-type': 'application/json', | |
| 'Authorization': `Bearer ${token}`, // notice the Bearer before your token | |
| }, | |
| body: JSON.stringify(yourNewData) | |
| }) |
| # @ https://cheat.readthedocs.io/en/latest/python/mock.html | |
| obj.call_count # number of times it was called | |
| obj.called == obj.call_count > 0 | |
| obj.call_args_list # a list of (args,kwargs), one for each call | |
| obj.call_args # obj.call_args_list[-1] (args,kwargs from last call) | |
| obj.return_value # set to what it should return | |
| obj.side_effect # set to an exception class or instance that should be raised when its called | |
| obj.assert_called() # doesn't work with autospec=True? just assert obj.called | |
| obj.assert_called_with(*args, **kwargs) # last call was with (*args, **kwargs) |
| <?xml version="1.0" encoding="UTF-8" standalone="no"?> | |
| <!--Created by yFiles for HTML 2.1.0.3-RC3--> | |
| <graphml xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://www.yworks.com/xml/schema/graphml.html/2.0/ygraphml.xsd " xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:demostyle="http://www.yworks.com/yFilesHTML/demos/FlatDemoStyle/1.0" xmlns:bpmn="http://www.yworks.com/xml/yfiles-for-html/bpmn/2.0" xmlns:demotablestyle="http://www.yworks.com/yFilesHTML/demos/FlatDemoTableStyle/1.0" xmlns:uml="http://www.yworks.com/yFilesHTML/demos/UMLDemoStyle/1.0" xmlns:compat="http://www.yworks.com/xml/yfiles-compat-arrows/1.0" xmlns:VuejsNodeStyle="http://www.yworks.com/demos/yfiles-vuejs-node-style/1.0" xmlns:y="http://www.yworks.com/xml/yfiles-common/3.0" xmlns:x="http://www.yworks.com/xml/yfiles-common/markup/3.0" xmlns:yjs="http://www.yworks.com/xml/yfiles-for-html/2.0/xaml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> | |
| <key id="d0" for="node" attr.type="boolean" attr.name="Expanded" y:attr.ur |
| import dask | |
| class MongoDaskBag: | |
| def __init__(db_name, collection_name): | |
| self.db_name =self.db_name | |
| self.collection_name = collection_name | |
| def bag(self, partition_size: int = 1000, partitions_num: int = None): | |
| with pymongo.MongoClient() as mongo_client: | |
| collection = mongo_client[self.db_name][self.collection_name] |
| class AttentionWithContext(Layer): | |
| """ | |
| Attention operation, with a context/query vector, for temporal data. | |
| Supports Masking. | |
| Follows the work of Yang et al. [https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf] | |
| "Hierarchical Attention Networks for Document Classification" | |
| by using a context vector to assist the attention | |
| # Input shape | |
| 3D tensor with shape: `(samples, steps, features)`. | |
| # Output shape |
| # coding=utf-8 | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from scipy.spatial import Voronoi | |
| from shapely.geometry import Polygon | |
| def voronoi_finite_polygons_2d(vor, radius=None): | |
| """ | |
| Reconstruct infinite voronoi regions in a 2D diagram to finite | |
| regions. |
Tornado HTTP web page with embedded Bokeh widget which communicates with other page of the same application.
autoload_server| test_1 | |
| tst_2 |