17 |
28 |
29 |
30 |
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/documentation/404/index.html:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 |
6 |
7 |
18 |
27 | 404 / Page not found
19 | 20 |The link you clicked may be broken
or the page may have been removed.
17 |
28 |
29 |
30 |
--------------------------------------------------------------------------------
/_site/documentation/404/index.html:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 |
6 |
7 |
18 |
27 | 404 / Page not found
19 | 20 |The link you clicked may be broken
or the page may have been removed.
17 |
28 |
29 |
30 |
--------------------------------------------------------------------------------
/ranges/53xx.md:
--------------------------------------------------------------------------------
1 | ---
2 | # Page settings
3 | layout: homepage
4 | keywords: nostr
5 |
6 | # Hero section
7 | title: Discovery
8 | description: "Jobs where the goal is to discover something"
9 | buttons:
10 | - content: Back
11 | url: '/'
12 | external_url: false
13 | # - icon: github
14 | # content: Button with icon
15 | # url: '#'
16 | # external_url: true
17 |
18 |
19 | # Grid navigation
20 | grid_navigation:
21 | - title: Nostr Content Discovery
22 | excerpt: "Used to discover nostr-native content. Kind 5300"
23 | cta: View
24 | url: '/kinds/5300'
25 | - title: Nostr People Discovery
26 | excerpt: "Used to discover nostr npubs. Kind 5301"
27 | cta: View
28 | url: '/kinds/5301'
29 | - title: Nostr Content Search
30 | excerpt: "Used to search for notes. Kind 5302"
31 | cta: View
32 | url: '/kinds/5302'
33 | - title: Nostr People Search
34 | excerpt: "Used to search for profiles. Kind 5303"
35 | cta: View
36 | url: '/kinds/5303'
37 | - title: Nostr Profile Gallery Entry Discovery
38 | excerpt: "Used to discover profile gallery entries. Kind 5304"
39 | cta: View
40 | url: '/kinds/5304'
41 | ---
--------------------------------------------------------------------------------
/kinds/5250.md:
--------------------------------------------------------------------------------
1 | ---
2 | layout: default
3 | title: Text-to-Speech Generation
4 | description: Job request to convert text input to an audio file.
5 | ---
6 |
7 | # Input
8 | Clients provide an Input such as a prompt, an event or job ID.
9 |
10 |
11 | ## `language`
12 |
13 | Specifies the output language of the video. Input language is auto-detected.
14 |
15 | ```
16 | [ "param", "language", "en"]
17 | ```
18 |
19 | # Params
20 |
21 |
22 | | ID | Language |
23 | | ---- | --------- |
24 | | en | English |
25 | | es | Spanish |
26 | | fr | French |
27 | | de | German |
28 | | it | Italian |
29 | | pt | Portugese |
30 | | pl | Polish |
31 | | tr | Turkish |
32 | | ru | Russian |
33 | | cs | Czech |
34 | | ar | Arabic |
35 | | zh-cn| Chinese |
36 | | ja | Japanese |
37 | | hu | Hungarian |
38 | | ko | Korean |
39 |
40 |
41 |
42 | # Output
43 |
44 | A link to the generated audio.
45 |
46 | # Example
47 |
48 | ## Generates the output based on the input link and params
49 |
50 | ```json
51 | {
52 | "content": "",
53 | "kind": 5250,
54 | "tags": [
55 | [ "i", "Mic Check, one, two.", "text" ],
56 | [ "param", "language", "en"],
57 | ]
58 | }
59 | ```
60 |
--------------------------------------------------------------------------------
/kinds/5000.md:
--------------------------------------------------------------------------------
1 | ---
2 | layout: default
3 | title: Text extraction
4 | description: Job request to extract text from some kind of input.
5 | ---
6 |
7 | # Input
8 |
9 | Jobs MIGHT specify a mime type as the
18 |
27 | 404 / Page not found
19 | 20 |The link you clicked may be broken
or the page may have been removed.
marker in the i tag.
10 |
11 | # Params
12 |
13 | ## `range`
14 |
15 | Specifies a range on which to focus the transcription in seconds (for audio inputs)
16 |
17 | ```
18 | [ "param", "range", ""i" tag field. The desired file(s) to be scanned must be directly accessible at the provided URL.
10 |
11 | # Output
12 |
13 | If no malware was found, `content` is set to the string `CLEAN`. If malware was found, `content` contains plaintext with details of findings.
14 |
15 | # Example 1
16 |
17 | ## Analysis of a file that contains malware.
18 |
19 | #### Request
20 |
21 | ```json
22 | {
23 | "content": "",
24 | "kind": 5500,
25 | "tags": [["i", "https://secure.eicar.org/eicar.com.txt", "url"]]
26 | }
27 | ```
28 |
29 | #### Response
30 |
31 | ```json
32 | {
33 | ...
34 | "content": "Scanning eicar.com.txt
35 | eicar.com.txt: Win.Test.EICAR_HDB-1 FOUND
36 | eicar.com.txt: Win.Test.EICAR_HSB-1 FOUND
37 | eicar.com.txt: Eicar-Signature FOUND
38 | eicar.com.txt!(0): Eicar-Signature FOUND
39 |
40 | ----------- SCAN SUMMARY -----------
41 | Known viruses: 8682629
42 | Engine version: 1.2.1
43 | Scanned directories: 0
44 | Scanned files: 1
45 | Infected files: 1
46 | Data scanned: 0.00 MB
47 | Data read: 0.00 MB (ratio 0.00:1)
48 | Time: 12.757 sec (0 m 12 s)
49 | Start Date: 2024:01:15 17:01:38
50 | End Date: 2024:01:15 17:01:51",
51 | "kind": 6500
52 | ...
53 | }
54 | ```
55 |
56 | # Example 2
57 |
58 | ## Analysis of a clean file.
59 |
60 | #### Request
61 |
62 | ```json
63 | {
64 | "content": "",
65 | "kind": 5500,
66 | "tags": [
67 | [
68 | "i",
69 | "https://raw.githubusercontent.com/ca110us/go-clamav/main/example/test_file/nmap",
70 | "url"
71 | ]
72 | ]
73 | }
74 | ```
75 |
76 | #### Response
77 |
78 | ```json
79 | {
80 | ...
81 | "content": "CLEAN",
82 | "kind": 6500
83 | ...
84 | }
85 | ```
86 |
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/doks-theme/_includes/site-header.html:
--------------------------------------------------------------------------------
1 | {% if site.doks.header.nav %}
2 |
3 |
9 | {% endif %}
10 |
11 | {% if site.doks.header.logo.text or site.doks.header.logo.image or site.doks.header.nav %}
12 | -
4 | {% for item in site.doks.header.nav %}
5 |
- {{ item.item_name }} 6 | {% endfor %} 7 |
14 |
38 |
15 |
37 |
16 | {% if site.doks.header.logo.text %}
17 | {{ site.doks.header.logo.text }}
18 | {% elsif site.doks.header.logo.image %}
19 |
20 | 
21 |
22 | {% endif %}
23 | {% if site.doks.header.nav %}
24 |
29 |
34 | {% endif %}
35 |
36 |
21 |
22 | {% endif %}
23 | {% if site.doks.header.nav %}
24 |
29 |
34 | {% endif %}
35 | "i" tag containing the url to the existing image
10 |
11 |
12 | # Params
13 |
14 | ## `model`
15 |
16 | Description:
17 | Specifies the identifier for the AI model to be used for the image generation task. Different models might produce different outcomes.
18 |
19 | Usage:
20 | Set this parameter to the specific ID or name of the AI model you wish to use. This is especially useful if you have multiple models available and you want to select a particular one for a task. Ensure that the specified model is compatible with the task at hand and has been adequately trained or fine-tuned for optimal results.
21 |
22 | ## `lora`
23 |
24 | Description:
25 | Specifies the identifier of a lora. A lora provides weights that can be applied on top of a model. Users can combine models and loras to create unique images.
26 |
27 | ## `ratio`
28 |
29 | Description:
30 | The Ratio of the output image. Allowed ratios are:
31 | 1:1 4:3 16:9 16:10 3:4 9:16 10:16
32 |
33 | ## `negative_prompt`
34 |
35 | Description:
36 | Define a negative prompt that includes what the model should avoid during Generation. This sometimes helps improving the outcome quality
37 |
38 | ## `size`
39 |
40 | Description:
41 | Specifies in the format of `${width}x${height}` (i.e `512x512`, `1024x768`) the exact size/dimension the image will be generated in. This param takes precedence over `ratio`. DVMs SHOULD ignore the job request if unable to fulfill the requested size
42 |
43 |
44 |
45 | # Output
46 |
47 | A link to the generated image(s)
48 |
49 | # Example 1
50 |
51 | ## Generates an output image based on the input prompt and params
52 |
53 | ```json
54 | {
55 | "content": "",
56 | "kind": 5100,
57 | "tags": [
58 | [ "i", "A purple ostrich watching the sunset", "text" ],
59 | [ "param", "ratio", "4:3"],
60 | [ "param", "negative_prompt", "broken hands, bad quality"]
61 | ]
62 | }
63 | ```
64 |
65 | # Example 2
66 |
67 | ## Converts the style of an input image
68 |
69 | ```json
70 | {
71 | "content": "",
72 | "kind": 5100,
73 | "tags": [
74 | [ "i", "https://image.nostr.build/cbfedf544d1ab82d26332bf70c1ea55b8f275ae59a04c3dac175d9cae536725e.jpg", "url" ],
75 | [ "i", "In style of Pablo Picasso", "text" ]
76 | [ "param", "size", "512x512" ]
77 | ]
78 | }
79 | ```
80 |
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/doks-theme/_includes/site-footer.html:
--------------------------------------------------------------------------------
1 | {% if site.doks.footer.content.logo.image or site.doks.footer.content.logo.text or site.doks.footer.content.copyright or site.doks.footer.social_list %}
2 |
34 | {% endif %}
35 |
36 |
37 |
38 |
39 |
40 |
41 |
42 | {% include google-analytics.html %}
43 |
--------------------------------------------------------------------------------
/doks-theme/_sass/components/_social-list.scss:
--------------------------------------------------------------------------------
1 | /**
2 | * Social list (components/_social-list.scss)
3 | */
4 |
5 | /* ----- General ----- */
6 | .social-list {
7 | margin-bottom: 0;
8 |
9 | li {
10 | display: inline-block;
11 | padding: 0;
12 |
13 | + li {
14 | margin-left: 1.25rem;
15 | margin-bottom: 1.25rem;
16 | }
17 |
18 | &::before {
19 | display: none;
20 | }
21 | }
22 | }
23 |
24 | /* ----- Item ----- */
25 | .social-list__item {
26 | @include link-reset;
27 | display: block;
28 | color: $color-social-item;
29 | font-size: 1.875em;
30 | line-height: 1;
31 | transition: color .2s;
32 |
33 | &:hover,
34 | &:focus,
35 | &:active {
36 | &.social-list__item--behance {
37 | color: #1769ff;
38 | }
39 |
40 | &.social-list__item--bitbucket {
41 | color: #205081;
42 | }
43 |
44 | &.social-list__item--codepen {
45 | color: #494949;
46 | }
47 |
48 | &.social-list__item--dribbble {
49 | color: #ea4c89;
50 | }
51 |
52 | &.social-list__item--dropbox {
53 | color: #007ee5;
54 | }
55 |
56 | &.social-list__item--facebook {
57 | color: #3b5998;
58 | }
59 |
60 | &.social-list__item--github {
61 | color: #333;
62 | }
63 |
64 | &.social-list__item--gitlab {
65 | color: #fc6d26;
66 | }
67 |
68 | &.social-list__item--google-plus {
69 | color: #dd4b39;
70 | }
71 |
72 | &.social-list__item--gulp {
73 | color: #DA4648;
74 | }
75 |
76 | &.social-list__item--instagram {
77 | color: #e1306c;
78 | }
79 |
80 | &.social-list__item--kickstarter {
81 | color: #2bde73;
82 | }
83 |
84 | &.social-list__item--linkedin {
85 | color: #0077b5;
86 | }
87 |
88 | &.social-list__item--medium {
89 | color: #00ab6c;
90 | }
91 |
92 | &.social-list__item--meetup {
93 | color: #e0393e;
94 | }
95 |
96 | &.social-list__item--pocket {
97 | color: #ef4056;
98 | }
99 |
100 | &.social-list__item--producthunt {
101 | color: #da552f;
102 | }
103 |
104 | &.social-list__item--reddit {
105 | color: #ff4500;
106 | }
107 |
108 | &.social-list__item--skype {
109 | color: #00aff0;
110 | }
111 |
112 | &.social-list__item--slack {
113 | color: #3eb991;
114 | }
115 |
116 | &.social-list__item--stackoverflow {
117 | color: #f48024;
118 | }
119 |
120 | &.social-list__item--trello {
121 | color: #0079bf;
122 | }
123 |
124 | &.social-list__item--tumblr {
125 | color: #35465c;
126 | }
127 |
128 | &.social-list__item--twitter {
129 | color: #1da1f2;
130 | }
131 |
132 | &.social-list__item--youtube {
133 | color: #cd201f;
134 | }
135 | }
136 |
137 | .icon {
138 | display: block;
139 | }
140 | }
141 |
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/kinds/5201.md:
--------------------------------------------------------------------------------
1 | ---
2 | layout: default
3 | title: Video Translation
4 | description: Job request to translate video audio content into target language with or without subtitles.
5 | ---
6 |
7 | # Input
8 |
9 | Clients provide a link to the input video or a reference to an event or job ID. The ID or link can either point directly to a media file (e.g. ending with .mp4) or to a social media share link, e.g. a Tweet or a YouTube video.
10 |
11 | # Params
12 |
13 | ## `language`
14 |
15 | Specifies the output language of the video. Input language is auto-detected.
16 |
17 | ```
18 | [ "param", "language", "es"]
19 | ```
20 |
21 | | ID | Language |
22 | | ---- | --------- |
23 | | en | English |
24 | | jp | Japanese |
25 | | cn | Chinese |
26 | | de | German |
27 | | in | Tamil |
28 | | fr | French |
29 | | kr | Korean |
30 | | br | Portuguese (Brazil) |
31 | | pt | Portuguese (Portugal) |
32 | | it | Italian |
33 | | es | Spanish |
34 | | id | Indonesian |
35 | | nl | Dutch |
36 | | tr | Turkish |
37 | | ph | Filipino |
38 | | pl | Polish |
39 | | se | Swedish |
40 | | bg | Bulgarian |
41 | | ro | Romanian |
42 | | se | Arabic (Saudi Arabia) |
43 | | ae | Arabic (UAE) |
44 | | cz | Czech |
45 | | gr | Greek |
46 | | fi | Finnish |
47 | | hr | Croatian |
48 | | my | Malay |
49 | | sk | Slovak |
50 | | dk | Danish |
51 | | ua | Ukrainian |
52 |
53 |
54 | ## `subtitle`
55 |
56 | Optional parameter. Specifies the language for subtitle captions that be burned into the video.
57 |
58 | ```
59 | [ "param", "subtitle", "en"]
60 | ```
61 |
62 |
63 | ## `range`
64 |
65 | Optional parameter. Specifies a range if the video translation should be targeted to a specific timestamp range.
66 |
67 | ```
68 | [ "param", "range", "
19 |
43 |
44 |
20 |
42 |
21 |
41 |
22 |
39 |
40 |
23 |
38 |
24 |
25 |
37 | Image Manipulation
26 | 27 | 28 | 29 | 30 | 31 | 32 | Back 33 | 34 | 35 | 36 |
45 |
70 |
71 |
72 |
100 |
101 |
102 |
103 |
104 |
105 |
106 |
107 |
108 |
109 |
110 |
111 |
112 |
113 |
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/doks-theme/_layouts/homepage.html:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 | {% include site-head.html %}
5 |
6 |
7 |
62 | {% if page.grid_navigation %}
63 |
46 |
69 |
47 |
68 |
48 |
66 |
67 |
64 |
89 | {% endif %}
90 | {% include site-footer.html %}
91 |
92 |
93 |
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/_site/ranges/59xx/index.html:
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
65 |
88 |
66 |
87 |
67 |
85 |
86 |
21 |
47 |
48 |
22 |
46 |
23 |
45 |
24 |
43 |
44 |
25 |
42 |
26 |
27 |
41 | Others
28 | 29 | 30 |Jobs that don't fit neatly in other categories
31 | 32 | 33 | 34 | 35 | 36 | Back 37 | 38 | 39 | 40 |
49 |
74 |
75 |
76 |
104 |
105 |
106 |
107 |
108 |
109 |
110 |
111 |
112 |
113 |
114 |
115 |
116 |
117 |
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
50 |
73 |
51 |
72 |
52 |
70 |
71 |
21 |
47 |
48 |
22 |
46 |
23 |
45 |
24 |
43 |
44 |
25 |
42 |
26 |
27 |
41 | Analytics
28 | 29 | 30 |Jobs where the goal is to analyze nostr events
31 | 32 | 33 | 34 | 35 | 36 | Back 37 | 38 | 39 | 40 |
49 |
74 |
75 |
76 |
104 |
105 |
106 |
107 |
108 |
109 |
110 |
111 |
112 |
113 |
114 |
115 |
116 |
117 |
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/kinds/5050.md:
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1 | ---
2 | layout: default
3 | title: Text Generation
4 | description: Job request to generate text using AI models.
5 | ---
6 |
7 | # Input
8 |
9 | Clients MIGHT provide a seed sentence or a prompt in the
50 |
73 |
51 |
72 |
52 |
70 |
71 | "i" tag field field for the AI to continue generating from.
10 |
11 |
12 | # Params
13 |
14 | ## `model`
15 |
16 | Description:
17 | Specifies the identifier for the AI model to be used for the text generation task. Different models might have different capabilities, sizes, training data, or fine-tuning, which can lead to variations in output quality and style.
18 |
19 | Usage:
20 | Set this parameter to the specific ID or name of the AI model you wish to use. This is especially useful if you have multiple models available and you want to select a particular one for a task. Ensure that the specified model is compatible with the task at hand and has been adequately trained or fine-tuned for optimal results.
21 |
22 | For instance, if you have a model specifically trained for medical text generation and another for general-purpose tasks, you might use the Model-Id parameter to specify which one to use based on the context of your request.
23 |
24 | ## `max_tokens`
25 |
26 | Description:
27 | Defines the maximum number of tokens (words, punctuation marks, etc.) that the generated output should contain. It helps to limit the length of the response and ensures that the output does not exceed a certain size.
28 |
29 | Usage:
30 | If you want a short response, set a lower value. For longer responses, increase the value.
31 |
32 | ## `temperature`
33 |
34 | Description:
35 | Controls the randomness of the AI's output. A higher value makes the output more random, while a lower value makes it more deterministic and focused on the most likely completion.
36 |
37 | Usage:
38 | Values typically range from 0.1 to 2.0. A value of 1.0 is neutral, below 1.0 makes the model more conservative, and above 1.0 makes it more creative.
39 |
40 | ## `top_k`
41 |
42 | Description:
43 | Limits the AI to consider only the top K probable next words/tokens when generating a response. It narrows down the choices and can make the output more coherent, especially when set to a reasonable number.
44 |
45 | Usage:
46 | Common values might range from 20 to 50, but it can vary based on the specific task.
47 | ## `top_p`
48 |
49 | Description:
50 | Also known as "nucleus sampling." Instead of just taking the top K probable words, it selects the smallest set of words whose cumulative probability exceeds a threshold P. This allows for more diversity than Top-K alone.
51 |
52 | Usage:
53 | Values are typically between 0.7 and 0.95. A higher value results in more randomness in the output.
54 |
55 | ## `frequency_penalty`
56 |
57 | Description:
58 | Applies a penalty to words/tokens that the model has already used, discouraging it from repeating the same words or phrases. This helps to make the output more diverse and reduces redundancy.
59 |
60 | Usage:
61 | Values greater than 1.0 discourage repetition, while values less than 1.0 encourage it. For instance, setting it to 1.2 might mildly discourage repetition.
62 |
63 | NOTE: All parameters are optional and additional application specific parameters can be added.
64 |
65 | ```
66 | [ "param", "model", "LLaMA-2" ],
67 | [ "param", "max_tokens", "512" ],
68 | [ "param", "temperature", "0.5" ],
69 | [ "param", "top-k", "50" ],
70 | [ "param", "top-p", "0.7" ],
71 | [ "param", "frequency_penalty", "1" ]
72 | ```
73 |
74 | # Output
75 |
76 | Including but not limited to:
77 |
78 | * `text/plain`
79 | * `text/markdown`
80 |
81 | # Example
82 |
83 | ## Generates the output based on the input prompt and params
84 |
85 | ```json
86 | {
87 | "content": "",
88 | "kind": 5050,
89 | "tags": [
90 | [ "i", "what is the capital of France? ", "prompt" ],
91 | [ "param", "model", "LLaMA-2"],
92 | [ "param", "max_tokens", "512"],
93 | [ "param", "temperature", "0.5"],
94 | [ "param", "top-k", "50"],
95 | [ "param", "top-p", "0.7"],
96 | [ "param", "frequency_penalty", "1"]
97 | ]
98 | }
99 | ```
100 |
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/_site/ranges/52xx/index.html:
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
19 |
43 |
44 |
20 |
42 |
21 |
41 |
22 |
39 |
40 |
23 |
38 |
24 |
25 |
37 | Video Manipulation
26 | 27 | 28 | 29 | 30 | 31 | 32 | Back 33 | 34 | 35 | 36 |
45 |
83 |
84 |
85 |
113 |
114 |
115 |
116 |
117 |
118 |
119 |
120 |
121 |
122 |
123 |
124 |
125 |
126 |
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/_index.html.old:
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1 |
2 |
3 |
4 |
5 |
6 |
46 |
82 |
47 |
81 |
48 |
79 |
80 | Data Vending Machines
10 | 11 |-
12 |
- [65002]: Text extraction 13 |
- [65003]: Summarization 14 |
- [65004]: Translation 15 |
- [65005]: Image Generation 16 |
Kinds / Job Types
19 | 20 |Kind 65002: Text Extraction
21 | 22 |Job request to extract text from some kind of input.
23 | 24 |Input
25 | 26 |
27 | Jobs MIGHT specify a mime type as the
28 | marker in the i tag.
29 |
Params
32 | 33 |-
34 |
-
35 |
36 | [ "param", "range", "<start>", "<end>" ] 37 |38 |
39 | - 40 | Specifies a range on which to focus the transcription 41 | in seconds (for audio inputs) 42 | 43 |
Outputs
46 | 47 |Including but not limited to:
48 | 49 |-
50 |
text/vtt
51 | text/plain
52 | text/markdown
53 |
56 | 57 |
Kind 65003: Summarization
58 | 59 |Summarize input
60 | 61 |Params
62 | 63 |-
64 |
-
65 |
66 | [ "param", "length", "<length>" ] 67 |68 |
69 | - 70 | Specifies the length of the summary in words, sentences, or paragraphs (e.g. "5 paragraphs") 71 | 72 |
Outputs
75 | 76 |Including but not limited to:
77 | 78 |-
79 |
text/plain
80 | text/markdown
81 |
84 | 85 |
Kind 65004: Translation
86 | 87 |Summarize input
88 | 89 |Params
90 | 91 |-
92 |
-
93 |
94 | [ "param", "lang", "<lang>" ] 95 |96 |
97 | - 98 | Desired language in BCP 47 format (e.g. "en-US") 99 | 100 |
103 | 104 |
Kind 65003: Summarization
105 | 106 |Summarize input
107 | 108 |Params
109 | 110 |-
111 |
-
112 |
113 | [ "param", "length", "<length>" ] 114 |115 |
116 | - 117 | Specifies the length of the summary in words, sentences, or paragraphs (e.g. "5 paragraphs") 118 | 119 |
Outputs
122 | 123 |Including but not limited to:
124 | 125 |-
126 |
text/plain
127 | text/markdown
128 |
131 | 132 |
Kind 65005: Image Generation
133 | 134 |Generate image based on some input (e.g. text, an event, another image, etc.)
135 | 136 |Params
137 | 138 |-
139 |
-
140 |
141 | [ "param", "negative_prompt", "<negative_prompt>" ] 142 |143 |
144 | - 145 | Optional negative prompt to use for image generation 146 | 147 |
-
148 |
149 | [ "param", "ratio", "<ratio>" ] 150 |151 |
152 | - 153 | Ratio to use for image generation (e.g. "16:9") 154 | 155 |
-
156 |
157 | [ "param", "model", "<model>" ] 158 |159 |
160 | - 161 | Model to use for image generation 162 | 163 |
Examples
166 | 167 | 168 | 169 | -------------------------------------------------------------------------------- /doks-theme/assets/js/scripts.js: -------------------------------------------------------------------------------- 1 | ( function( $ ) { 2 | 'use strict'; 3 | 4 | // Reduce 5 | $.fn.reduce = function( fnReduce, initialValue ) { 6 | var values = this, 7 | previousValue = initialValue; 8 | 9 | values.each( function( index, currentValue ) { 10 | previousValue = fnReduce.call( 11 | currentValue, 12 | 13 | previousValue, 14 | currentValue, 15 | index, 16 | values 17 | ); 18 | } ); 19 | 20 | return previousValue; 21 | }; 22 | 23 | // Title sections 24 | $( ':header[id]' ).each( function() { 25 | var $self = $( this ); 26 | 27 | $self.html( 28 | '# ' + $self.html() 29 | ); 30 | } ); 31 | 32 | var getHeadingLevel = function( $el ) { 33 | var tagName = $el.prop( 'tagName' ).toLowerCase(); 34 | 35 | if ( 36 | ! tagName || 37 | [ 'h1', 'h2', 'h3', 'h4', 'h5', 'h6' ].indexOf( tagName ) === -1 38 | ) { 39 | return false; 40 | } 41 | 42 | return parseInt( tagName.replace( 'h', '' ), 10 ); 43 | }; 44 | 45 | var headings = $( ':header[id]' ).reduce( function( previousValue, currentValue ) { 46 | var currentHeading = { 47 | childrens: [], 48 | }; 49 | 50 | currentHeading.$el = $( currentValue ); 51 | currentHeading.level = getHeadingLevel( currentHeading.$el ); 52 | 53 | if ( ! currentHeading.$el.length || currentHeading.level === false ) { 54 | return previousValue; 55 | } 56 | 57 | previousValue.push( currentHeading ); 58 | 59 | return previousValue; 60 | }, [] ); 61 | 62 | var majik = function( previousValue, currentHeading ) { 63 | if ( ! currentHeading.$el.length || currentHeading.level === false ) { 64 | return previousValue; 65 | } 66 | 67 | if ( previousValue.length < 1 ) { 68 | return [ currentHeading ]; 69 | } 70 | 71 | var previousHeadingLevel = previousValue[ previousValue.length - 1 ].level; 72 | 73 | if ( currentHeading.level > previousHeadingLevel ) { 74 | previousValue[ previousValue.length - 1 ].childrens.push( currentHeading ); 75 | } else { 76 | previousValue.push( currentHeading ); 77 | } 78 | 79 | return previousValue; 80 | }; 81 | 82 | var reduceLevels = function( list ) { 83 | list = list.reduce( majik, [] ); 84 | 85 | var i; 86 | for ( i = 0; i < list.length; i += 1 ) { 87 | if ( ! list[ i ].childrens || ! list[ i ].childrens.length ) { 88 | continue; 89 | } 90 | 91 | list[ i ].childrens = reduceLevels( list[ i ].childrens ); 92 | } 93 | 94 | return list; 95 | }; 96 | 97 | var generateList = function( list, isFirstLevel ) { 98 | var $ul = $( '
21 |
47 |
48 |
22 |
46 |
23 |
45 |
24 |
43 |
44 |
25 |
42 |
26 |
27 |
41 | Discovery
28 | 29 | 30 |Jobs where the goal is to discover something
31 | 32 | 33 | 34 | 35 | 36 | Back 37 | 38 | 39 | 40 |
49 |
87 |
88 |
89 |
117 |
118 |
119 |
120 |
121 |
122 |
123 |
124 |
125 |
126 |
127 |
128 |
129 |
130 |
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/doks-theme/_sass/generic/_base.scss:
--------------------------------------------------------------------------------
1 | /**
2 | * Base (generic/_base.scss)
3 | */
4 |
5 | /* ----- General ----- */
6 | html {
7 | font-size: 14px;
8 | @include box-sizing(border-box);
9 | -webkit-tap-highlight-color: transparent;
10 | -webkit-font-smoothing: antialiased;
11 | -moz-osx-font-smoothing: grayscale;
12 |
13 | @media (min-width: $screen-sm-min) {
14 | font-size: 16px;
15 | }
16 | }
17 |
18 | body {
19 | color: $color-dark;
20 | font-family: $font-family-primary;
21 | font-size: $font-size-base;
22 | line-height: $line-height-base;
23 | }
24 |
25 | /* ----- Everything ----- */
26 | * {
27 | &,
28 | &::before,
29 | &::after {
30 | @include box-sizing(inherit);
31 | }
32 | }
33 |
34 | /* ----- Headings ----- */
35 | h1, .h1,
36 | h2, .h2,
37 | h3, .h3,
38 | h4, .h4,
39 | h5, .h5,
40 | h6, .h6 {
41 | font-family: $font-family-secondary;
42 | font-weight: 400;
43 | line-height: $line-height-headings;
44 | margin: 2.5rem 0 .9375rem 0;
45 |
46 | &[id] {
47 | position: relative;
48 | }
49 |
50 | & + & {
51 | margin-top: 0;
52 | }
53 | }
54 |
55 | h1, .h1 {
56 | font-size: $font-size-h1;
57 | font-weight: 700;
58 | }
59 |
60 | h2, .h2 {
61 | font-size: $font-size-h2;
62 | font-weight: 700;
63 | border-bottom: 1px solid $color-h2-border;
64 | padding-bottom: .5rem;
65 | }
66 |
67 | h3, .h3 {
68 | font-size: $font-size-h3;
69 | font-weight: 500;
70 | }
71 |
72 | h4, .h4 {
73 | font-size: $font-size-h4;
74 | }
75 |
76 | h5, .h5 {
77 | font-size: $font-size-h5;
78 | }
79 |
80 | h6, .h6 {
81 | font-size: $font-size-h6;
82 | }
83 |
84 | /* ----- Inline elements ----- */
85 | small,
86 | .text-small {
87 | font-size: $font-size-small;
88 | }
89 |
90 | /* ----- Paragraphs ----- */
91 | p {
92 | margin: 0 0 1.25rem 0;
93 | }
94 |
95 | /* ----- Hyperlinks ----- */
96 | a {
97 | color: inherit;
98 | text-decoration: none;
99 | border-bottom: .0625em solid;
100 | border-color: inherit;
101 | padding-bottom: .125em;
102 | }
103 |
104 | /* ----- Images ----- */
105 | img {
106 | max-width: 100%;
107 | height: auto;
108 | vertical-align: top;
109 | }
110 |
111 | /* ----- Horizontal rules ----- */
112 | hr {
113 | border: 0;
114 | border-top: 1px solid $color-horizontal-rule;
115 | margin: 0 0 1.25rem 0;
116 | }
117 |
118 | /* ----- States ----- */
119 | ::-moz-selection {
120 | background: rgba($color-yellow, .99);
121 | color: $color-dark-blue;
122 | }
123 |
124 | ::selection {
125 | background: rgba($color-yellow, .99);
126 | color: $color-dark-blue;
127 | }
128 |
129 | /* ----- Quotes ----- */
130 | blockquote {
131 | margin: 0 0 1.25rem 0;
132 | }
133 |
134 | q {
135 | color: $color-dark-blue;
136 | }
137 |
138 | /* ----- Lists ----- */
139 | ul {
140 | list-style-type: none;
141 | padding: 0;
142 | margin: 0 0 1.25rem 0;
143 |
144 | li {
145 | position: relative;
146 | padding-left: 1.875rem;
147 | margin-bottom: .3125rem;
148 |
149 | &:before {
150 | content: '\2014';
151 | color: $color-list-prefix;
152 | position: absolute;
153 | left: 0;
154 | }
155 | }
156 | }
157 |
158 | /* ----- Definition lists ----- */
159 | dl {
160 | margin: 0 0 1.25rem 0;
161 |
162 | dt {
163 | color: $color-definition-list;
164 | font-weight: 700;
165 | }
166 |
167 | dd {
168 | margin: 0;
169 | }
170 | }
171 |
172 | /* ----- Acronym and Emphasize tags ----- */
173 | acronym,
174 | em {
175 | font-style: italic;
176 | }
177 |
178 | /* ----- Tables ----- */
179 | table {
180 | width: 100%;
181 | text-align: left;
182 | font-size: $font-size-base;
183 | border-collapse: collapse;
184 | margin: 0 0 1.25rem 0;
185 |
186 | th, td {
187 | border: 2px solid $color-table-border;
188 | vertical-align: middle;
189 | padding: .625rem .9375rem;
190 |
191 | @media (min-width: $screen-sm-min) {
192 | padding: .8125rem 1.25rem;
193 | }
194 |
195 | a {
196 | border-color: $color-dark;
197 | }
198 | }
199 |
200 | th {
201 | font-family: $font-family-secondary;
202 | text-transform: uppercase;
203 | background-color: $color-table-header-bg;
204 | border-color: $color-table-header-border;
205 | }
206 | }
207 |
208 | .table-responsive {
209 | width: 100%;
210 | overflow-x: scroll;
211 | -webkit-overflow-scrolling: touch;
212 | margin: 0 0 1.25rem 0;
213 |
214 | @media (min-width: $screen-sm-min) {
215 | overflow-x: visible;
216 | }
217 |
218 | table {
219 | min-width: 43.75rem;
220 | margin: 0;
221 |
222 | @media (min-width: $screen-sm-min) {
223 | min-width: 0;
224 | margin: 0;
225 | }
226 | }
227 | }
228 |
229 | /* ----- Iframe ----- */
230 | iframe {
231 | display: block;
232 | border: 0;
233 | margin: 0 0 1.25rem 0;
234 | }
235 |
236 | /* ----- Button ----- */
237 | button {
238 | border: 0;
239 | padding: 0;
240 | background-color: transparent;
241 |
242 | &:focus {
243 | outline: none;
244 | }
245 | }
246 |
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/doks-theme/_sass/generic/_code.scss:
--------------------------------------------------------------------------------
1 | /**
2 | * Code (generic/_code.scss)
3 | */
4 |
5 | /* ----- General ----- */
6 | code,
7 | kbd,
8 | tt {
9 | font-family: $font-family-monospace;
10 | color: $color-code;
11 | background-color: $color-code-bg;
12 | border-radius: .1875rem;
13 | padding: .125rem .375rem .1875rem .375rem;
14 | }
15 |
16 | pre {
17 | overflow: auto;
18 | border-left: 8px solid $color-pre-border;
19 | margin: 0 0 1.25rem 0;
20 | -webkit-overflow-scrolling: touch;
21 |
22 | code {
23 | color: $color-pre;
24 | background-color: transparent;
25 | border-radius: 0;
26 | padding: 0;
27 | }
28 | }
29 |
30 | /* ----- Highlight ----- */
31 | .highlight .hll { background-color: #49483e }
32 | pre.highlight { background: #212733; color: $color-pre; padding: 1.5625rem; }
33 | .highlight .c { color: #75715e } /* Comment */
34 | .highlight .err { color: #960050; background-color: #1e0010 } /* Error */
35 | .highlight .k { color: #66d9ef } /* Keyword */
36 | .highlight .l { color: #ae81ff } /* Literal */
37 | .highlight .n { color: #f8f8f2 } /* Name */
38 | .highlight .o { color: #f92672 } /* Operator */
39 | .highlight .p { color: #f8f8f2 } /* Punctuation */
40 | .highlight .ch { color: #75715e } /* Comment.Hashbang */
41 | .highlight .cm { color: #75715e } /* Comment.Multiline */
42 | .highlight .cp { color: #75715e } /* Comment.Preproc */
43 | .highlight .cpf { color: #75715e } /* Comment.PreprocFile */
44 | .highlight .c1 { color: #75715e } /* Comment.Single */
45 | .highlight .cs { color: #75715e } /* Comment.Special */
46 | .highlight .gd { color: #f92672 } /* Generic.Deleted */
47 | .highlight .ge { font-style: italic } /* Generic.Emph */
48 | .highlight .gi { color: #a6e22e } /* Generic.Inserted */
49 | .highlight .gs { font-weight: bold } /* Generic.Strong */
50 | .highlight .gu { color: #75715e } /* Generic.Subheading */
51 | .highlight .kc { color: #66d9ef } /* Keyword.Constant */
52 | .highlight .kd { color: #66d9ef } /* Keyword.Declaration */
53 | .highlight .kn { color: #f92672 } /* Keyword.Namespace */
54 | .highlight .kp { color: #66d9ef } /* Keyword.Pseudo */
55 | .highlight .kr { color: #66d9ef } /* Keyword.Reserved */
56 | .highlight .kt { color: #66d9ef } /* Keyword.Type */
57 | .highlight .ld { color: #e6db74 } /* Literal.Date */
58 | .highlight .m { color: #ae81ff } /* Literal.Number */
59 | .highlight .s { color: #e6db74 } /* Literal.String */
60 | .highlight .na { color: #a6e22e } /* Name.Attribute */
61 | .highlight .nb { color: #f8f8f2 } /* Name.Builtin */
62 | .highlight .nc { color: #a6e22e } /* Name.Class */
63 | .highlight .no { color: #66d9ef } /* Name.Constant */
64 | .highlight .nd { color: #a6e22e } /* Name.Decorator */
65 | .highlight .ni { color: #f8f8f2 } /* Name.Entity */
66 | .highlight .ne { color: #a6e22e } /* Name.Exception */
67 | .highlight .nf { color: #a6e22e } /* Name.Function */
68 | .highlight .nl { color: #f8f8f2 } /* Name.Label */
69 | .highlight .nn { color: #f8f8f2 } /* Name.Namespace */
70 | .highlight .nx { color: #a6e22e } /* Name.Other */
71 | .highlight .py { color: #f8f8f2 } /* Name.Property */
72 | .highlight .nt { color: #f92672 } /* Name.Tag */
73 | .highlight .nv { color: #f8f8f2 } /* Name.Variable */
74 | .highlight .ow { color: #f92672 } /* Operator.Word */
75 | .highlight .w { color: #f8f8f2 } /* Text.Whitespace */
76 | .highlight .mb { color: #ae81ff } /* Literal.Number.Bin */
77 | .highlight .mf { color: #ae81ff } /* Literal.Number.Float */
78 | .highlight .mh { color: #ae81ff } /* Literal.Number.Hex */
79 | .highlight .mi { color: #ae81ff } /* Literal.Number.Integer */
80 | .highlight .mo { color: #ae81ff } /* Literal.Number.Oct */
81 | .highlight .sa { color: #e6db74 } /* Literal.String.Affix */
82 | .highlight .sb { color: #e6db74 } /* Literal.String.Backtick */
83 | .highlight .sc { color: #e6db74 } /* Literal.String.Char */
84 | .highlight .dl { color: #e6db74 } /* Literal.String.Delimiter */
85 | .highlight .sd { color: #e6db74 } /* Literal.String.Doc */
86 | .highlight .s2 { color: #e6db74 } /* Literal.String.Double */
87 | .highlight .se { color: #ae81ff } /* Literal.String.Escape */
88 | .highlight .sh { color: #e6db74 } /* Literal.String.Heredoc */
89 | .highlight .si { color: #e6db74 } /* Literal.String.Interpol */
90 | .highlight .sx { color: #e6db74 } /* Literal.String.Other */
91 | .highlight .sr { color: #e6db74 } /* Literal.String.Regex */
92 | .highlight .s1 { color: #e6db74 } /* Literal.String.Single */
93 | .highlight .ss { color: #e6db74 } /* Literal.String.Symbol */
94 | .highlight .bp { color: #f8f8f2 } /* Name.Builtin.Pseudo */
95 | .highlight .fm { color: #a6e22e } /* Name.Function.Magic */
96 | .highlight .vc { color: #f8f8f2 } /* Name.Variable.Class */
97 | .highlight .vg { color: #f8f8f2 } /* Name.Variable.Global */
98 | .highlight .vi { color: #f8f8f2 } /* Name.Variable.Instance */
99 | .highlight .vm { color: #f8f8f2 } /* Name.Variable.Magic */
100 | .highlight .il { color: #ae81ff } /* Literal.Number.Integer.Long */
101 |
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/doks-theme/_layouts/default.html:
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1 |
2 |
3 |
4 | {% include site-head.html %}
5 |
6 |
7 | {% include site-header.html %}
8 |
50 |
86 |
51 |
85 |
52 |
83 |
84 |
9 |
64 |
10 |
63 |
11 |
62 |
12 |
37 | {% if page.author.title and page.author.description and page.author.title_url %}
38 |
60 | {% endif %}
61 |
13 |
36 |
14 | {% if page.title %}
15 |
35 | {{ page.title }}
16 | {% endif %} 17 | {% if page.description %} 18 |{{ page.description }}
19 | {% endif %} 20 | {% if page.page_nav.prev.content or page.page_nav.next.content %} 21 | {% if page.page_nav.prev.content and page.page_nav.prev.url %} 22 | 23 | 24 | {{ page.page_nav.prev.content }} 25 | 26 | {% endif %} 27 | {% if page.page_nav.next.content and page.page_nav.next.url %} 28 | 29 | 30 | {{ page.page_nav.next.content }} 31 | 32 | {% endif %} 33 | {% endif %} 34 |
65 |
80 | {% if jekyll.environment == "production" and page.comments == true and site.doks.comments.disqus_forum_shortname %}
81 |
66 |
79 |
67 |
78 |
68 |
72 |
69 | {{ content }}
70 |
71 |
73 |
77 |
74 |
75 |
76 |
82 |
90 | {% endif %}
91 |
119 |
120 |
121 |
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/_site/ranges/50xx/index.html:
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1 |
2 |
3 |
4 |
5 |
6 |
7 |
83 |
89 |
84 |
88 |
85 | {% include comments.html %}
86 |
87 |
19 |
43 |
44 |
20 |
42 |
21 |
41 |
22 |
39 |
40 |
23 |
38 |
24 |
25 |
37 | Text Extraction
26 | 27 | 28 | 29 | 30 | 31 | 32 | Back 33 | 34 | 35 | 36 |
45 |
109 |
110 |
111 |
139 |
140 |
141 |
142 |
143 |
144 |
145 |
146 |
147 |
148 |
149 |
150 |
151 |
152 |
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46 |
108 |
47 |
107 |
48 |
105 |
106 |