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S3Path

Latest versionS3Path CI

S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.

Like pathlib, but for S3 Buckets

AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.

Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.

S3Path blends Boto3's ease of use and the familiarity of pathlib api.

Install:

From PyPI:

$ pip install s3path

From Conda:

$ conda install -c conda-forge s3path

Basic use:

The following example assumes an s3 bucket setup as specified bellow:

$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html

Importing the main class:

>>>froms3pathimportS3Path

Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:

>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]

Listing html source files in this "directory" tree:

>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]

Navigating inside a "directory" tree:

>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')

Querying path properties:

>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True

Opening a "file" (s3 key):

>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""

Or Simply reading:

>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""

Requirements:

  • Python >= 3.4
  • boto3
  • smart-open

Further Documentation:

About

s3path is a pathlib extension for AWS S3 Service

Resources

Readme
Apache-2.0 license
Activity
Custom properties

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
S3Path
Latest versionS3Path CI
S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.
Like pathlib, but for S3 Buckets
AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.
Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.
S3Path blends Boto3's ease of use and the familiarity of pathlib api.
Install:
From PyPI:
$ pip install s3path
From Conda:
$ conda install -c conda-forge s3path
Basic use:
The following example assumes an s3 bucket setup as specified bellow:
$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html
Importing the main class:
>>>froms3pathimportS3Path
Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:
>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]
Listing html source files in this "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]
Navigating inside a "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
Querying path properties:
>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True
Opening a "file" (s3 key):
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Or Simply reading:
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Requirements:
  • Python >= 3.4
  • boto3
  • smart-open
Further Documentation:
About
s3path is a pathlib extension for AWS S3 Service 
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
S3Path
Latest versionS3Path CI
S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.
Like pathlib, but for S3 Buckets
AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.
Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.
S3Path blends Boto3's ease of use and the familiarity of pathlib api.
Install:
From PyPI:
$ pip install s3path
From Conda:
$ conda install -c conda-forge s3path
Basic use:
The following example assumes an s3 bucket setup as specified bellow:
$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html
Importing the main class:
>>>froms3pathimportS3Path
Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:
>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]
Listing html source files in this "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]
Navigating inside a "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
Querying path properties:
>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True
Opening a "file" (s3 key):
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Or Simply reading:
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Requirements:
  • Python >= 3.4
  • boto3
  • smart-open
Further Documentation:
About
s3path is a pathlib extension for AWS S3 Service 
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
S3Path
Latest versionS3Path CI
S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.
Like pathlib, but for S3 Buckets
AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.
Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.
S3Path blends Boto3's ease of use and the familiarity of pathlib api.
Install:
From PyPI:
$ pip install s3path
From Conda:
$ conda install -c conda-forge s3path
Basic use:
The following example assumes an s3 bucket setup as specified bellow:
$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html
Importing the main class:
>>>froms3pathimportS3Path
Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:
>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]
Listing html source files in this "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]
Navigating inside a "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
Querying path properties:
>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True
Opening a "file" (s3 key):
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Or Simply reading:
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Requirements:
  • Python >= 3.4
  • boto3
  • smart-open
Further Documentation:
About
s3path is a pathlib extension for AWS S3 Service 
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
S3Path
Latest versionS3Path CI
S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.
Like pathlib, but for S3 Buckets
AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.
Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.
S3Path blends Boto3's ease of use and the familiarity of pathlib api.
Install:
From PyPI:
$ pip install s3path
From Conda:
$ conda install -c conda-forge s3path
Basic use:
The following example assumes an s3 bucket setup as specified bellow:
$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html
Importing the main class:
>>>froms3pathimportS3Path
Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:
>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]
Listing html source files in this "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]
Navigating inside a "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
Querying path properties:
>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True
Opening a "file" (s3 key):
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Or Simply reading:
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Requirements:
  • Python >= 3.4
  • boto3
  • smart-open
Further Documentation:
About
s3path is a pathlib extension for AWS S3 Service 
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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S3Path
Latest versionS3Path CI
S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.
Like pathlib, but for S3 Buckets
AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.
Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.
S3Path blends Boto3's ease of use and the familiarity of pathlib api.
Install:
From PyPI:
$ pip install s3path
From Conda:
$ conda install -c conda-forge s3path
Basic use:
The following example assumes an s3 bucket setup as specified bellow:
$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html
Importing the main class:
>>>froms3pathimportS3Path
Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:
>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]
Listing html source files in this "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]
Navigating inside a "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
Querying path properties:
>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True
Opening a "file" (s3 key):
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Or Simply reading:
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Requirements:
  • Python >= 3.4
  • boto3
  • smart-open
Further Documentation:
About
s3path is a pathlib extension for AWS S3 Service 
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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S3Path
Latest versionS3Path CI
S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.
Like pathlib, but for S3 Buckets
AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.
Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.
S3Path blends Boto3's ease of use and the familiarity of pathlib api.
Install:
From PyPI:
$ pip install s3path
From Conda:
$ conda install -c conda-forge s3path
Basic use:
The following example assumes an s3 bucket setup as specified bellow:
$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html
Importing the main class:
>>>froms3pathimportS3Path
Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:
>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]
Listing html source files in this "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]
Navigating inside a "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
Querying path properties:
>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True
Opening a "file" (s3 key):
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Or Simply reading:
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Requirements:
  • Python >= 3.4
  • boto3
  • smart-open
Further Documentation:
About
s3path is a pathlib extension for AWS S3 Service 
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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S3Path
Latest versionS3Path CI
S3Path provide a Python convenient File-System/Path like interface for AWS S3 Service using boto3 S3 resource as a driver.
Like pathlib, but for S3 Buckets
AWS S3 is among the most popular cloud storage solutions. It's object storage, is built to store and retrieve various amounts of data from anywhere.
Currently, Python developers use Boto3 as the default API to connect / put / get / list / delete files from S3.
S3Path blends Boto3's ease of use and the familiarity of pathlib api.
Install:
From PyPI:
$ pip install s3path
From Conda:
$ conda install -c conda-forge s3path
Basic use:
The following example assumes an s3 bucket setup as specified bellow:
$ aws s3 ls s3://pypi-proxy/
2018-04-24 22:59:59 186 requests/index.html
2018-04-24 22:59:57 485015 requests/requests-2.9.1.tar.gz
2018-04-24 22:35:01 89112 boto3/boto3-1.4.1.tar.gz
2018-04-24 22:35:02 180 boto3/index.html
2018-04-24 22:35:19 3308919 botocore/botocore-1.4.93.tar.gz
2018-04-24 22:35:36 188 botocore/index.html
Importing the main class:
>>>froms3pathimportS3Path
Listing "subdirectories" - s3 keys can be split like file-system with a / in s3path we:
>>>bucket_path=S3Path('/pypi-proxy/')
>>> [pathforpathinbucket_path.iterdir() ifpath.is_dir()]
[S3Path('/pypi-proxy/requests/'),
S3Path('/pypi-proxy/boto3/'),
S3Path('/pypi-proxy/botocore/')]
Listing html source files in this "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>list(bucket_path.glob('**/*.html'))
[S3Path('/pypi-proxy/requests/index.html'),
S3Path('/pypi-proxy/boto3/index.html'),
S3Path('/pypi-proxy/botocore/index.html')]
Navigating inside a "directory" tree:
>>>bucket_path=S3Path('/pypi-proxy/')
>>>boto3_package_path=bucket_path/'boto3'/'boto3-1.4.1.tar.gz'>>>boto3_package_pathS3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
Querying path properties:
>>>boto3_package_path=S3Path('/pypi-proxy/boto3/boto3-1.4.1.tar.gz')
>>>boto3_package_path.exists()
True>>>boto3_package_path.is_dir()
False>>>boto3_package_path.is_file()
True
Opening a "file" (s3 key):
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>withbotocore_index_path.open() asf:
>>>print(f.read())
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Or Simply reading:
>>>botocore_index_path=S3Path('/pypi-proxy/botocore/index.html')
>>>botocore_index_path.read_text()
"""<!DOCTYPE html><html><head> <meta charset="UTF-8"> <title>Package Index</title></head><body> <a href="botocore-1.4.93.tar.gz">botocore-1.4.93.tar.gz</a><br></body></html>"""
Requirements:
  • Python >= 3.4
  • boto3
  • smart-open
Further Documentation:
About
s3path is a pathlib extension for AWS S3 Service 
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages