Monotonically Increasing Indices Assertions #391

Closed
Closed
Monotonically Increasing Indices Assertions#391

Description

@esanchez01
esanchez01
opened on Mar 11, 2021

In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.

As a temporary workaround, I sorted the indices before the assertions were run. For example:

ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing

Once the above change was made across all assertions, the entire model ran successfully.

With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.

Traceback mp_tasks - mp_models_0 - AssertionError exception running school_location model: --- mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last): File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation run_simulation(queue, step_info, resume_after, shared_data_buffer) File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation raise e File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation pipeline.run_model(model) File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model orca.run([step_name]) File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run step() File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__ return self._func(**kwargs) File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location chunk_size, trace_hh_id, locutor, trace_label File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration)) File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name) File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms assert size_terms.index.is_monotonic_increasing

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      , '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
      Monotonically Increasing Indices Assertions #391
      Closed
      Closed
      Monotonically Increasing Indices Assertions#391
      Description
      @esanchez01
      esanchez01
      opened on Mar 11, 2021
      In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.
      As a temporary workaround, I sorted the indices before the assertions were run. For example:
      ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing
      Once the above change was made across all assertions, the entire model ran successfully.
      With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.
      Traceback
mp_tasks - mp_models_0 - AssertionError exception running school_location model: ---
mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last):
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation
run_simulation(queue, step_info, resume_after, shared_data_buffer)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation
raise e
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation
pipeline.run_model(model)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model
orca.run([step_name])
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run
step()
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__
return self._func(**kwargs)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location
chunk_size, trace_hh_id, locutor, trace_label
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice
trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration))
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice
dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms
assert size_terms.index.is_monotonic_increasing

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, '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
          Monotonically Increasing Indices Assertions #391
          Closed
          Closed
          Monotonically Increasing Indices Assertions#391
          Description
          @esanchez01
          esanchez01
          opened on Mar 11, 2021
          In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.
          As a temporary workaround, I sorted the indices before the assertions were run. For example:
          ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing
          Once the above change was made across all assertions, the entire model ran successfully.
          With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.
          Traceback
mp_tasks - mp_models_0 - AssertionError exception running school_location model: ---
mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last):
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation
run_simulation(queue, step_info, resume_after, shared_data_buffer)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation
raise e
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation
pipeline.run_model(model)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model
orca.run([step_name])
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run
step()
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__
return self._func(**kwargs)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location
chunk_size, trace_hh_id, locutor, trace_label
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice
trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration))
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice
dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms
assert size_terms.index.is_monotonic_increasing

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, '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
              Monotonically Increasing Indices Assertions #391
              Closed
              Closed
              Monotonically Increasing Indices Assertions#391
              Description
              @esanchez01
              esanchez01
              opened on Mar 11, 2021
              In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.
              As a temporary workaround, I sorted the indices before the assertions were run. For example:
              ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing
              Once the above change was made across all assertions, the entire model ran successfully.
              With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.
              Traceback
mp_tasks - mp_models_0 - AssertionError exception running school_location model: ---
mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last):
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation
run_simulation(queue, step_info, resume_after, shared_data_buffer)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation
raise e
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation
pipeline.run_model(model)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model
orca.run([step_name])
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run
step()
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__
return self._func(**kwargs)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location
chunk_size, trace_hh_id, locutor, trace_label
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice
trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration))
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice
dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms
assert size_terms.index.is_monotonic_increasing

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, '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
                  Monotonically Increasing Indices Assertions #391
                  Closed
                  Closed
                  Monotonically Increasing Indices Assertions#391
                  Description
                  @esanchez01
                  esanchez01
                  opened on Mar 11, 2021
                  In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.
                  As a temporary workaround, I sorted the indices before the assertions were run. For example:
                  ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing
                  Once the above change was made across all assertions, the entire model ran successfully.
                  With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.
                  Traceback
mp_tasks - mp_models_0 - AssertionError exception running school_location model: ---
mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last):
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation
run_simulation(queue, step_info, resume_after, shared_data_buffer)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation
raise e
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation
pipeline.run_model(model)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model
orca.run([step_name])
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run
step()
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__
return self._func(**kwargs)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location
chunk_size, trace_hh_id, locutor, trace_label
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice
trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration))
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice
dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms
assert size_terms.index.is_monotonic_increasing

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                      None yet
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                      No branches or pull requests
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, '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('^' + ".*" + '

                      Skip to content
                      Monotonically Increasing Indices Assertions #391
                      Closed
                      Closed
                      Monotonically Increasing Indices Assertions#391
                      Description
                      @esanchez01
                      esanchez01
                      opened on Mar 11, 2021
                      In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.
                      As a temporary workaround, I sorted the indices before the assertions were run. For example:
                      ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing
                      Once the above change was made across all assertions, the entire model ran successfully.
                      With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.
                      Traceback
mp_tasks - mp_models_0 - AssertionError exception running school_location model: ---
mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last):
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation
run_simulation(queue, step_info, resume_after, shared_data_buffer)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation
raise e
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation
pipeline.run_model(model)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model
orca.run([step_name])
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run
step()
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__
return self._func(**kwargs)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location
chunk_size, trace_hh_id, locutor, trace_label
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice
trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration))
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice
dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms
assert size_terms.index.is_monotonic_increasing

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, '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('^' + ".*" + '

                          Skip to content
                          Monotonically Increasing Indices Assertions #391
                          Closed
                          Closed
                          Monotonically Increasing Indices Assertions#391
                          Description
                          @esanchez01
                          esanchez01
                          opened on Mar 11, 2021
                          In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.
                          As a temporary workaround, I sorted the indices before the assertions were run. For example:
                          ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing
                          Once the above change was made across all assertions, the entire model ran successfully.
                          With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.
                          Traceback
mp_tasks - mp_models_0 - AssertionError exception running school_location model: ---
mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last):
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation
run_simulation(queue, step_info, resume_after, shared_data_buffer)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation
raise e
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation
pipeline.run_model(model)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model
orca.run([step_name])
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run
step()
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__
return self._func(**kwargs)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location
chunk_size, trace_hh_id, locutor, trace_label
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice
trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration))
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice
dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms
assert size_terms.index.is_monotonic_increasing

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, '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); }
})();
})();

                              Skip to content
                              Monotonically Increasing Indices Assertions #391
                              Closed
                              Closed
                              Monotonically Increasing Indices Assertions#391
                              Description
                              @esanchez01
                              esanchez01
                              opened on Mar 11, 2021
                              In the Develop2 branch, there appears to be several assert statements across shadow_pricing.py and location_choice.py which check that the indices of a data frame are monotonically increasing. I ran the multi processed simple 3 zone example but passed in SANDAG inputs (inputs transformed to match example inputs) and failed these assertions. I included a stack trace below.
                              As a temporary workaround, I sorted the indices before the assertions were run. For example:
                              ifnotsize_terms.index.is_monotonic_increasing:
size_terms.sort_index(inplace=True)
assertsize_terms.index.is_monotonic_increasing
                              Once the above change was made across all assertions, the entire model ran successfully.
                              With that said, I'm not quite sure if the indices being out of order is input or code related. Some of the assertions are ran directly after reading a table with inject.get_table() and then converting it into a data frame so it appears as if the data frame conversion does not guarantee sorted indices.
                              Traceback
mp_tasks - mp_models_0 - AssertionError exception running school_location model: ---
mp_tasks - mp_models_0 - AssertionError exception caught in mp_run_simulation: Traceback (most recent call last):
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 839, in mp_run_simulation
run_simulation(queue, step_info, resume_after, shared_data_buffer)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 797, in run_simulation
raise e
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\mp_tasks.py", line 794, in run_simulation
pipeline.run_model(model)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\pipeline.py", line 468, in run_model
orca.run([step_name])
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 2033, in run
step()
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\core\orca.py", line 842, in __call__
return self._func(**kwargs)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 904, in school_location
chunk_size, trace_hh_id, locutor, trace_label
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 763, in iterate_location_choice
trace_label=tracing.extend_trace_label(trace_label, 'i%s' % iteration))
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\models\location_choice.py", line 575, in run_location_choice
dest_size_terms = shadow_price_calculator.dest_size_terms(segment_name)
File "c:\users\esanc\.conda\envs\asimtest_multi_develop2\lib\site-packages\activitysim\abm\tables\shadow_pricing.py", line 521, in dest_size_terms
assert size_terms.index.is_monotonic_increasing

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