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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,48 @@
from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

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As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Added vertex-limited network flow reduction by iiloni-ce · Pull Request #8720 · TheAlgorithms/Python · GitHub
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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,48 @@
from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19
, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Added vertex-limited network flow reduction by iiloni-ce · Pull Request #8720 · TheAlgorithms/Python · GitHub
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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,48 @@
from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19
, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Added vertex-limited network flow reduction by iiloni-ce · Pull Request #8720 · TheAlgorithms/Python · GitHub
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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,48 @@
from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Added vertex-limited network flow reduction by iiloni-ce · Pull Request #8720 · TheAlgorithms/Python · GitHub
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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,48 @@
from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Added vertex-limited network flow reduction by iiloni-ce · Pull Request #8720 · TheAlgorithms/Python · GitHub
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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,48 @@
from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19
, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Added vertex-limited network flow reduction by iiloni-ce · Pull Request #8720 · TheAlgorithms/Python · GitHub
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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,48 @@
from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19
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48 changes: 48 additions & 0 deletions networking_flow/vertex_limited.py
Original file line numberDiff line numberDiff line change
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from networking_flow.ford_fulkerson import ford_fulkerson

# Max-Flow reduction for vertex-limited networks (rather than edge-limited)
"""
Reduces a network that has vertex capacities into a network with edge capacities
so that Ford-Fulkerson will work.
Explanation: https://en.wikipedia.org/wiki/Maximum_flow_problem#Maximum_flow_with_vertex_capacities
"""


def vertex_limited(graph, limits):

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As there is no test file in this pull request nor any test function or class in the file networking_flow/vertex_limited.py, please provide doctest for the function vertex_limited

Please provide return type hint for the function: vertex_limited. If the function does not return a value, please provide the type hint as:def function() -> None:

Please provide type hint for the parameter: graph

Please provide type hint for the parameter: limits

max_flow_graph = [[0 for i in range(2 * len(graph))] for j in range(2 * len(graph))]

# Give all directed edges infinite capacity
for src_vertex in range(len(graph)):
for dest_vertex in range(len(graph[0])):
if graph[src_vertex][dest_vertex] == 1:
max_flow_graph[src_vertex][dest_vertex] = float("inf")

# Expand all vertices into two vertices
for src_vertex in range(len(graph)):
# move all outbound edges of the vertex to the new vertex
max_flow_graph[src_vertex + len(graph)] = max_flow_graph[src_vertex]
max_flow_graph[src_vertex] = [0 for i in range(len(max_flow_graph))]

# create edge with capacity equal to the vertex's limit
# from the original vertex to the new vertex
max_flow_graph[src_vertex][src_vertex + len(graph)] = limits[src_vertex]

return max_flow_graph


# Test Case


limits = [29, 12, 14, 20, 7, 29]
graph = [ # rows are source, columns are destination
[0, 1, 1, 0, 0, 0],
[0, 0, 1, 1, 0, 0],
[0, 1, 0, 0, 1, 0],
[0, 0, 1, 0, 0, 1],
[0, 0, 0, 1, 0, 1],
[0, 0, 0, 0, 0, 0],
]

mf_graph = vertex_limited(graph, limits)
print(mf_graph) # prints graph reduced to a standard flow network
print(ford_fulkerson(mf_graph, 0, len(mf_graph) - 1)) # max flow should be 19