6b1f321
LMonan 3 years ago
7 changed file(s) with 259 addition(s) and 43 deletion(s). Raw diff Collapse all Expand all
120120 ],
121121 "metadata": {
122122 "kernelspec": {
123 "display_name": "Python 3",
123 "display_name": "Python 3 (ipykernel)",
124124 "language": "python",
125125 "name": "python3"
126126 },
134134 "name": "python",
135135 "nbconvert_exporter": "python",
136136 "pygments_lexer": "ipython3",
137 "version": "3.5.2"
138 },
137 "version": "3.7.5"
138 },
139139 "pycharm": {
140140 "stem_cell": {
141141 "cell_type": "raw",
142 "source": [],
143142 "metadata": {
144143 "collapsed": false
145 }
146 }
147 }
144 },
145 "source": []
146 }
147 }
148148 },
149149 "nbformat": 4,
150150 "nbformat_minor": 2
0 input:
1 things:
2 name: things
3 value_type: str
4 description: 所求之事
5 pray:
6 name: pray
7 value_type: str
8 description: 祈祷
9 output:
10 ret1:
11 name: ret1
12 value_type: str
13 description: 本卦
14 ret2:
15 name: ret2
16 value_type: str
17 description: 变卦
+0
-36
coding_here.ipynb less more
0
1 {
2 "cells": [
3 {
4 "cell_type": "code",
5 "execution_count": null,
6 "metadata": {},
7 "outputs": [],
8 "source": [
9 "print('Hello Mo!')"
10 ]
11 }
12 ],
13 "metadata": {
14 "kernelspec": {
15 "display_name": "Python 3",
16 "language": "python",
17 "name": "python3"
18 },
19 "language_info": {
20 "codemirror_mode": {
21 "name": "ipython",
22 "version": 3
23 },
24 "file_extension": ".py",
25 "mimetype": "text/x-python",
26 "name": "python",
27 "nbconvert_exporter": "python",
28 "pygments_lexer": "ipython3",
29 "version": "3.5.2"
30 }
31 },
32 "nbformat": 4,
33 "nbformat_minor": 2
34 }
35
0 def handle(conf):
1 """
2 该方法是部署之后,其他人调用你的服务时候的处理方法。
3 请按规范填写参数结构,这样我们就能替你自动生成配置文件,方便其他人的调用。
4 范例:
5 params['key'] = value # value_type: str # description: some description
6 value_type 可以选择:img, video, audio, str, int, float, [int], [str], [float]
7 参数请放到params字典中,我们会自动解析该变量。
8 """
9
10 param1 = conf['param1'] # value_type: str # description: some description
11 # add your code
12 return {'ret1': 'cat'}
13
0 {
1 "cells": [
2 {
3 "cell_type": "code",
4 "execution_count": 1,
5 "metadata": {},
6 "outputs": [],
7 "source": [
8 "def handle(conf):\n",
9 " \"\"\"\n",
10 " 该方法是部署之后,其他人调用你的服务时候的处理方法。\n",
11 " 请按规范填写参数结构,这样我们就能替你自动生成配置文件,方便其他人的调用。\n",
12 " 范例:\n",
13 " params['key'] = value # value_type: str # description: some description\n",
14 " value_type 可以选择:img, video, audio, str, int, float, [int], [str], [float]\n",
15 " 参数请放到params字典中,我们会自动解析该变量。\n",
16 " \"\"\"\n",
17 "\n",
18 " things = conf['things'] # value_type: str # description: some description\n",
19 " pray = conf['pray']\n",
20 " \n",
21 " # add your code\n",
22 " return {'ret1': 'cat'}\n",
23 " "
24 ]
25 },
26 {
27 "cell_type": "code",
28 "execution_count": null,
29 "metadata": {
30 "inputHidden": false
31 },
32 "outputs": [],
33 "source": []
34 }
35 ],
36 "metadata": {
37 "kernelspec": {
38 "display_name": "Python 3 (ipykernel)",
39 "language": "python",
40 "name": "python3"
41 },
42 "language_info": {
43 "codemirror_mode": {
44 "name": "ipython",
45 "version": 3
46 },
47 "file_extension": ".py",
48 "mimetype": "text/x-python",
49 "name": "python",
50 "nbconvert_exporter": "python",
51 "pygments_lexer": "ipython3",
52 "version": "3.7.5"
53 }
54 },
55 "nbformat": 4,
56 "nbformat_minor": 2
57 }
0 ###############################################################################
1 # 重要: 请务必把任务(jobs)中需要保存的文件存放在 results 文件夹内
2 # Important : Please make sure your files are saved to the 'results' folder
3 # in your jobs
4 ###############################################################################
5 print('Hello Mo!')
6 def handle(conf):
7 """
8 该方法是部署之后,其他人调用你的服务时候的处理方法。
9 请按规范填写参数结构,这样我们就能替你自动生成配置文件,方便其他人的调用。
10 范例:
11 params['key'] = value # value_type: str # description: some description
12 value_type 可以选择:img, video, audio, str, int, float, [int], [str], [float]
13 参数请放到params字典中,我们会自动解析该变量。
14 """
15
16 things = conf['things'] # value_type: str # description: some description
17 pray = conf['pray']
18
19 # add your code
20 return {'ret1': 'cat'}
21
0 murmurhash==1.0.6
1 jmespath==0.10.0
2 configparser==5.2.0
3 imbalanced-learn==0.6.2
4 Augmentor==0.2.8
5 scikit-image==0.15.0
6 tensorboard-data-server==0.6.1
7 requests-oauthlib==1.3.1
8 argon2-cffi-bindings==21.2.0
9 thinc==7.4.1
10 charset-normalizer==2.0.12
11 nltk==3.5
12 transformers==4.1.1
13 astunparse==1.6.3
14 PyWavelets==1.2.0
15 semantic-version==2.8.5
16 sentencepiece==0.1.91
17 PyAudio==0.2.11
18 greenlet==1.1.2
19 ruamel.yaml.clib==0.2.6
20 pyasn1==0.4.8
21 attrs==19.3.0
22 retrying==1.3.3
23 torchtext==0.6.0
24 func-timeout==4.3.5
25 gym==0.15.7
26 importlib-metadata==4.11.1
27 pyasn1-modules==0.2.8
28 cmake==3.21.1
29 word2vec==0.11.1
30 packaging==21.3
31 preshed==3.0.6
32 regex==2022.1.18
33 tensorflow-privacy==0.5.2
34 rsa==4.8
35 easydict==1.9
36 spacy==2.3.2
37 tensorboardX==2.0
38 defusedxml==0.7.1
39 s3transfer==0.3.3
40 networkx==2.6.3
41 catalogue==1.0.0
42 openpyxl==2.6.4
43 dm-tree==0.1.6
44 imageio==2.8.0
45 metakernel==0.28.2
46 opt-einsum==3.3.0
47 cachetools==3.1.1
48 smart-open==5.2.1
49 multipledispatch==0.6.0
50 argon2-cffi==21.3.0
51 tinycss2==1.1.1
52 graphviz==0.14
53 minio==5.0.10
54 boto3==1.16.25
55 unification==0.2.2
56 oauthlib==3.2.0
57 google-auth==2.6.0
58 gensim==3.8.3
59 tensorboard-plugin-wit==1.8.1
60 pytorch-pretrained-bert==0.6.2
61 plotly==4.8.1
62 joblib==1.1.0
63 pydot==1.4.1
64 sacremoses==0.0.47
65 calysto==1.0.6
66 mpmath==1.2.1
67 toolz==0.11.2
68 en-core-web-sm==https://files.momodel.cn/en_core_web_sm-2.3.0.tar.gz
69 rouge==1.0.0
70 plac==1.1.3
71 importlib-resources==5.4.0
72 et-xmlfile==1.1.0
73 typing-extensions==4.1.1
74 certipy==0.1.3
75 platformdirs==2.5.1
76 debugpy==1.5.1
77 kanren==0.2.3
78 cryptography==36.0.1
79 python-json-logger==2.0.2
80 ruamel.yaml==0.17.21
81 pyglet==1.5.0
82 cymem==2.0.6
83 Shapely==1.7.0
84 click==8.0.4
85 jdcal==1.4.1
86 jupyter-telemetry==0.1.0
87 tensorflow-federated==0.17.0
88 tensorflow-estimator==2.3.0
89 cloudpickle==1.2.2
90 jupyterlab-server==0.2.0
91 nest-asyncio==1.5.4
92 mindspore==https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.0.0/MindSpore/cpu/ubuntu_x86/mindspore-1.0.0-cp37-cp37m-linux_x86_64.whl
93 google-pasta==0.2.0
94 async-generator==1.10
95 yellowbrick==1.1
96 tf-slim==1.1.0
97 xlrd==1.2.0
98 numpyencoder==0.3.0
99 copulas==0.3.3
100 torch==1.4.0+cpu
101 typeguard==2.13.3
102 pyOpenSSL==22.0.0
103 matplotlib-inline==0.1.3
104 tqdm==4.46.1
105 torchvision==0.5.0+cpu
106 wrapt==1.13.3
107 google-auth-oauthlib==0.4.6
108 pycparser==2.21
109 filelock==3.6.0
110 botocore==1.19.25
111 XlsxWriter==1.4.3
112 dlib==19.22.0
113 portpicker==1.3.9
114 pytorch-transformers==1.2.0
115 srsly==1.0.5
116 distlib==0.3.4
117 Cython==0.29.20
118 install==1.3.5
119 cssselect2==0.4.1
120 CairoSVG==2.5.2
121 pygame==2.0.1
122 ipdb==0.13.2
123 zipp==3.7.0
124 tensorflow-model-optimization==0.4.1
125 wasabi==0.9.0
126 svgwrite==1.4.1
127 baytune==0.3.12
128 jieba==0.42.1
129 minepy==1.2.4
130 cffi==1.15.0
131 blis==0.4.1
132 paddlepaddle==2.0.1
133 cairocffi==1.3.0
134 tensorflow-addons==0.11.2
135 sympy==1.6.2
136 pyrsistent==0.18.1
137 imgaug==0.4.0
138 asttokens==2.0.5
139 tokenizers==0.9.4