`); let searchUrl = `/search/`; history.forEach((elem) => { prevsearch.find('#prevsearch-options').append(`
${elem} `); }); } $('#search-pretype-options').empty(); $('#search-pretype-options').append(prevsearch); let prevbooks = $(false); [ {title:"Recently Opened Textbooks", books:previous_books}, {title:"Recommended Textbooks", books:recommended_books} ].forEach((book_segment) => { if (Array.isArray(book_segment.books) && book_segment.books.length>0 && nsegments<2) { nsegments+=1; prevbooks = $(`
${book_segment.title} `); let searchUrl = "/books/xxx/"; book_segment.books.forEach((elem) => { prevbooks.find('#prevbooks-options'+nsegments.toString()).append(`
${elem.title} ${ordinal(elem.edition)} ${elem.author} `); }); } $('#search-pretype-options').append(prevbooks); }); } function anon_pretype() { let prebooks = null; try { prebooks = JSON.parse(localStorage.getItem('PRETYPE_BOOKS_ANON')); }catch(e) {} if ('previous_books' in prebooks && 'recommended_books' in prebooks) { previous_books = prebooks.previous_books; recommended_books = prebooks.recommended_books; if (typeof PREVBOOKS !== 'undefined' && Array.isArray(PREVBOOKS)) { new_prevbooks = PREVBOOKS; previous_books.forEach(elem => { for (let i = 0; i < new_prevbooks.length; i++) { if (elem.id == new_prevbooks[i].id) { return; } } new_prevbooks.push(elem); }); new_prevbooks = new_prevbooks.slice(0,3); previous_books = new_prevbooks; } if (typeof RECBOOKS !== 'undefined' && Array.isArray(RECBOOKS)) { new_recbooks = RECBOOKS; for (let j = 0; j < new_recbooks.length; j++) { new_recbooks[j].viewed_at = new Date(); } let insert = true; for (let i=0; i < recommended_books.length; i++){ for (let j = 0; j < new_recbooks.length; j++) { if (recommended_books[i].id == new_recbooks[j].id) { insert = false; } } if (insert){ new_recbooks.push(recommended_books[i]); } } new_recbooks.sort((a,b)=>{ adate = new Date(2000, 0, 1); bdate = new Date(2000, 0, 1); if ('viewed_at' in a) {adate = new Date(a.viewed_at);} if ('viewed_at' in b) {bdate = new Date(b.viewed_at);} // 100000000: instead of just erasing the suggestions from previous week, // we just move them to the back of the queue acurweek = ((new Date()).getDate()-adate.getDate()>7)?0:100000000; bcurweek = ((new Date()).getDate()-bdate.getDate()>7)?0:100000000; aviews = 0; bviews = 0; if ('views' in a) {aviews = acurweek+a.views;} if ('views' in b) {bviews = bcurweek+b.views;} return bviews - aviews; }); new_recbooks = new_recbooks.slice(0,3); recommended_books = new_recbooks; } localStorage.setItem('PRETYPE_BOOKS_ANON', JSON.stringify({ previous_books: previous_books, recommended_books: recommended_books })); build_popup(); } } var whiletyping_search_object = null; var whiletyping_search = { books: [], curriculum: [], topics: [] } var single_whiletyping_ajax_promise = null; var whiletyping_database_initial_burst = 0; //number of consecutive calls, after 3 we start the 1 per 5 min calls function get_whiletyping_database() { //gets the database from the server. // 1. by validating against a local database value we confirm that the framework is working and // reduce the ammount of continuous calls produced by errors to 1 per 5 minutes. return localforage.getItem('whiletyping_last_attempt').then(function(value) { if ( value==null || (new Date()) - (new Date(value)) > 1000*60*5 || (whiletyping_database_initial_burst < 3) ) { localforage.setItem('whiletyping_last_attempt', (new Date()).getTime()); // 2. Make an ajax call to the server and get the search database. let databaseUrl = `/search/whiletype_database/`; let resp = single_whiletyping_ajax_promise; if (resp === null) { whiletyping_database_initial_burst = whiletyping_database_initial_burst + 1; single_whiletyping_ajax_promise = resp = new Promise((resolve, reject) => { $.ajax({ url: databaseUrl, type: 'POST', data:{csrfmiddlewaretoken: "RCGUpXSKxqciYHiyuchRwazGQV60LFBk9VGqpzzIhlssJ2i5ZBTijS0NERQ1OiOo"}, success: function (data) { // 3. verify that the elements of the database exist and are arrays if ( ('books' in data) && ('curriculum' in data) && ('topics' in data) && Array.isArray(data.books) && Array.isArray(data.curriculum) && Array.isArray(data.topics)) { localforage.setItem('whiletyping_last_success', (new Date()).getTime()); localforage.setItem('whiletyping_database', data); resolve(data); } }, error: function (error) { console.log(error); resolve(null); }, complete: function (data) { single_whiletyping_ajax_promise = null; } }) }); } return resp; } return Promise.resolve(null); }).catch(function(err) { console.log(err); return Promise.resolve(null); }); } function get_whiletyping_search_object() { // gets the fuse objects that will be in charge of the search if (whiletyping_search_object){ return Promise.resolve(whiletyping_search_object); } database_promise = localforage.getItem('whiletyping_database').then(function(database) { return localforage.getItem('whiletyping_last_success').then(function(last_success) { if (database==null || (new Date()) - (new Date(last_success)) > 1000*60*60*24*30 || (new Date('2023-04-25T00:00:00')) - (new Date(last_success)) > 0) { // New database update return get_whiletyping_database().then(function(new_database) { if (new_database) { database = new_database; } return database; }); } else { return Promise.resolve(database); } }); }); return database_promise.then(function(database) { if (database) { const options = { isCaseSensitive: false, includeScore: true, shouldSort: true, // includeMatches: false, // findAllMatches: false, // minMatchCharLength: 1, // location: 0, threshold: 0.2, // distance: 100, // useExtendedSearch: false, ignoreLocation: true, // ignoreFieldNorm: false, // fieldNormWeight: 1, keys: [ "title" ] }; let curriculum_index={}; let topics_index={}; database.curriculum.forEach(c => curriculum_index[c.id]=c); database.topics.forEach(t => topics_index[t.id]=t); for (j=0; j
Solutions
Textbooks
`); } function build_solutions() { if (Array.isArray(solution_search_result)) { const viewAllHTML = userSubscribed ? `View All` : ''; var solutions_section = $(` Solutions ${viewAllHTML} `); let questionUrl = "/questions/xxx/"; let askUrl = "/ask/question/xxx/"; solution_search_result.forEach((elem) => { let url = ('course' in elem)?askUrl:questionUrl; let solution_type = ('course' in elem)?'ask':'question'; let subtitle = ('course' in elem)?(elem.course??""):(elem.book ?? "")+" "+(elem.chapter?"Chapter "+elem.chapter:""); solutions_section.find('#whiletyping-solutions').append(` ${elem.text} ${subtitle} `); }); $('#search-solution-options').empty(); if (Array.isArray(solution_search_result) && solution_search_result.length>0){ $('#search-solution-options').append(solutions_section); } MathJax.typesetPromise([document.getElementById('search-solution-options')]); } } function build_textbooks() { $('#search-pretype-options').empty(); $('#search-pretype-options').append($('#search-solution-options').html()); if (Array.isArray(textbook_search_result)) { var books_section = $(` Textbooks View All `); let searchUrl = "/books/xxx/"; textbook_search_result.forEach((elem) => { books_section.find('#whiletyping-books').append(` ${elem.title} ${ordinal(elem.edition)} ${elem.author} `); }); } if (Array.isArray(textbook_search_result) && textbook_search_result.length>0){ $('#search-pretype-options').append(books_section); } } function build_popup(first_time = false) { if ($('#search-text').val()=='') { build_pretype(); } else { solution_and_textbook_search(); } } var search_text_out = true; var search_popup_out = true; const is_login = false; function pretype_setup() { $('#search-text').focusin(function() { $('#search-popup').addClass('show'); resize_popup(); search_text_out = false; }); $( window ).resize(function() { resize_popup(); }); $('#search-text').focusout(() => { search_text_out = true; if (search_text_out && search_popup_out) { $('#search-popup').removeClass('show'); } }); $('#search-popup').mouseenter(() => { search_popup_out = false; }); $('#search-popup').mouseleave(() => { search_popup_out = true; if (search_text_out && search_popup_out) { $('#search-popup').removeClass('show'); } }); $('#search-text').on("keyup", delay(() => { build_popup(); }, 200)); build_popup(true); let prevbookUrl = `/search/pretype_books/`; if (is_login) { $.ajax({ url: prevbookUrl, method: 'POST', data:{csrfmiddlewaretoken: "RCGUpXSKxqciYHiyuchRwazGQV60LFBk9VGqpzzIhlssJ2i5ZBTijS0NERQ1OiOo"}, success: function(response){ previous_books = response.previous_books; recommended_books = response.recommended_books; build_popup(); }, error: function(response){ console.log(response); } }); } else { let prebooks = null; try { prebooks = JSON.parse(localStorage.getItem('PRETYPE_BOOKS_ANON')); }catch(e) {} if (prebooks && 'previous_books' in prebooks && 'recommended_books' in prebooks) { anon_pretype(); } else { $.ajax({ url: prevbookUrl, method: 'POST', data:{csrfmiddlewaretoken: "RCGUpXSKxqciYHiyuchRwazGQV60LFBk9VGqpzzIhlssJ2i5ZBTijS0NERQ1OiOo"}, success: function(response){ previous_books = response.previous_books; recommended_books = response.recommended_books; build_popup(); }, error: function(response){ console.log(response); } }); } } } $( document ).ready(pretype_setup); $( document ).ready(function(){ $('#search-popup').on('click', '.search-view-item', function(e) { e.preventDefault(); let autoCompleteSearchViewUrl = `/search/autocomplete_search_view/`; let objectUrl = $(this).attr('href'); let selectedId = $(this).data('objid'); let searchResults = []; $("#whiletyping-solutions").find("a").each(function() { let is_selected = selectedId === $(this).data('objid'); searchResults.push({ objectId: $(this).data('objid'), contentType: $(this).data('contenttype'), category: $(this).data('category'), selected: is_selected }); }); $("#whiletyping-books").find("a").each(function() { let is_selected = selectedId === $(this).data('objid'); searchResults.push({ objectId: $(this).data('objid'), contentType: $(this).data('contenttype'), category: $(this).data('category'), selected: is_selected }); }); $.ajax({ url: autoCompleteSearchViewUrl, method: 'POST', data:{ csrfmiddlewaretoken: "RCGUpXSKxqciYHiyuchRwazGQV60LFBk9VGqpzzIhlssJ2i5ZBTijS0NERQ1OiOo", query: $('#search-text').val(), searchObjects: JSON.stringify(searchResults) }, dataType: 'json', complete: function(data){ window.location.href = objectUrl; } }); }); });
FAQs
LIFO. In the Last In, First Out (LIFO) method, inventory is calculated based on COGS for the newest items in your inventory. The formula for inventory value using the LIFO method involves dividing the COGS for items purchased last by the number of units purchased.
How do you compute the ending inventory by the conventional retail inventory method? ›
Here is the formula for the Retail Inventory Method: Ending Inventory at Cost = Ending Inventory at Retail × Cost-to-Retail Ratio Where: - Ending Inventory at Retail is the selling price of your unsold inventory.
What is the formula for retail inventory method? ›
A quick method for calculating retail inventory is subtracting your total sales from the total retail value of your inventory. Then, multiply that amount by your cost-to-retail ratio.
What is the formula for cost-to-retail ratio? ›
As mentioned above, the cost-to-retail percentage (or ratio) can be calculated as: [cost of goods available for sale ÷ retail value of goods available for sale] x 100.
What companies use the LIFO method? ›
For example, many supermarkets and pharmacies use LIFO cost accounting because almost every good they stock experiences inflation. Many convenience stores—especially those that carry fuel and tobacco—elect to use LIFO because the costs of these products have risen substantially over time.
Why is LIFO not allowed? ›
IFRS prohibits LIFO due to potential distortions it may have on a company's profitability and financial statements. For example, LIFO can understate a company's earnings for the purposes of keeping taxable income low. It can also result in inventory valuations that are outdated and obsolete.
How do you calculate ending inventory using dollar value LIFO? ›
Example of Dollar Value LIFO
The end-of-year inventory count shows you have 130 units on hand. To apply the Dollar-Value LIFO method: Calculate the ending inventory at year-end prices: 130 units * $12/unit = $1,560. Convert this to base-year prices.
How do you calculate ending inventory and cogs using LIFO? ›
To calculate COGS, it would take into account the newest purchase prices.
- COGS = (The Number of Newest Units x Their Value) + (Remaining Units From the Second Purchase x Their Value) ...
- Ending Inventory Value = Remaining Units x Their Value. ...
- COGS = The Number of Newest Units x Their Value.
According to the LIFO method, the last units purchased are sold first, so the value used for the ending inventory formula is based on the cost of the oldest units. This means that the ending inventory for this period for Invest Media would be 2,250 x 10 = $22,500.
What is the dollar value of LIFO? ›
The dollar-value method of valuing LIFO inventories is a method of determining cost by using “base-year” costs expressed in total dollars rather than the quantity and price of specific goods as the unit of measurement. Under this method, the taxpayer groups goods contained in the inventory into a pool(s).
Last-in First-out (LIFO) is an inventory valuation method based on the assumption that assets produced or acquired last are the first to be expensed. In other words, under the last-in, first-out method, the latest purchased or produced goods are removed and expensed first.
What is the retail inventory method Quizlet? ›
-The objective in the retail method is to calculate ending inventory at retail, and then convert it from retail to cost. Retail Terminology: Initial markup: -Original amount of markup from cost to selling price.
What is the formula for average unit retail price? ›
To calculate AUR, you simply take the total revenue (or net sales) divided by the number of units sold.
How do you calculate cost based on retail and margin? ›
Calculate a retail or selling price by dividing the cost by 1 minus the profit margin percentage. If a new product costs $70 and you want to keep the 40 percent profit margin, divide the $70 by 1 minus 40 percent – 0.40 in decimal. The $70 divided by 0.60 produces a price of $116.67.
Does the retail method require a cost ratio? ›
The retail method provides the ending inventory balance for a store by measuring the cost of inventory relative to the price of the goods. Along with sales and inventory for a period, the retail inventory method uses the cost-to-retail ratio.
What is an example of LIFO inventory? ›
Insight on LIFO Method Example
If 80 loaves were sold using LIFO, the first 50 would come from the second (latest) purchase costing $2 each, and 30 would come from the first purchase costing $1 each. Therefore, the total cost of goods sold would be 50 loaves * $2 + 30 loaves * $1.
How do you use the LIFO inventory method? ›
The LIFO method assumes that the most recently purchased inventory items are the ones that are sold first. With this cash flow assumption, the costs of the last items purchased or produced are the first to be counted as COGS. Meanwhile, the cost of the older items not yet sold will be reported as unsold inventory.
What is FIFO and LIFO in retail? ›
The Last-In, First-Out (LIFO) method assumes that the last unit to arrive in inventory or more recent is sold first. The First-In, First-Out (FIFO) method assumes that the oldest unit of inventory is the sold first.
When would you use the LIFO inventory method? ›
If the cost of your products increases over time, the LIFO method can help you save on taxes. This is because applying the most recent or higher inventory costs to the items you've sold will cause your profit margin to go down. The lower your profits, the less you'll owe in taxes.
