gemma4:26b200.2 s
1. ^\d{4}-(0[1-9]|1[0-2])-\d{2}$
2. SELECT customer_id FROM orders GROUP BY customer_id ORDER BY SUM(amount) DESC LIMIT 5;
3. .items[].id
4. nav a[href^="http"]
5. awk '{print $1}' access.log | sort -u | wc -lFive one-liner coding tasks. Output exactly 5 numbered lines, each containing ONLY the solution (no explanation).
1. A regex that matches ISO dates YYYY-MM-DD with months 01-12 only.
2. SQL: top 5 customers by total order value from table orders(customer_id, amount).
3. jq expression: extract all .id values from {"items":[{"id":...},...]}.
4. CSS selector: all links inside <nav> that open external http(s) URLs.
5. Bash pipeline: count unique IP addresses (first column) in access.log.1. ^\d{4}-(0[1-9]|1[0-2])-\d{2}$
2. SELECT customer_id FROM orders GROUP BY customer_id ORDER BY SUM(amount) DESC LIMIT 5;
3. .items[].id
4. nav a[href^="http"]
5. awk '{print $1}' access.log | sort -u | wc -l1. ^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[1]\d|2[0-9])$
2. SELECT customer_id, SUM(amount) FROM orders GROUP BY customer_id ORDER BY 2 DESC LIMIT 5;
3. .items[].id
4. nav a[href^="http"]
5. awk '{print $1}' access.log | sort -u | wc -l1. \d{4}-(0[1-9]|1[0-2])-\d{2}
2. SELECT customer_id, SUM(amount) FROM orders GROUP BY customer_id ORDER BY SUM(amount) DESC LIMIT 5;
3. .items[].id
4. nav a[href^="http"]
5. awk '{print $1}' access.log | sort | uniq | wc -l1. `^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[1-2]\d|3[01])$`
2. `SELECT customer_id, SUM(amount) FROM orders GROUP BY customer_id ORDER BY 2 DESC LIMIT 5;`
3. `.items[].id`
4. `nav a[href^="http"]`
5. `awk '{print $1}' access.log | sort -u | wc -l`1. ^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12][0-9]|3[01])$
2. SELECT TOP 5 customer_id, SUM(amount) AS total_order_value FROM orders GROUP BY customer_id ORDER BY total_order_value DESC;
3. .items[].id
4. nav a[href^='http']
5. grep -oE '[0-9]+(\.[0-9]+)?' access.log | sort -u | wc -lOkay, let me try to work through each of these coding tasks one by one.
Starting with the first task, I need a regex that matches ISO dates in the format YYYY-MM-DD where the month is between 01 and 12. So the year can be any four digits, so something like \d{4}. The month should be from 01 to 12, which means it needs to accept single-digit months as well but leading zeros are required because in ISO format, months are two digits. Wait, no—if I'm using YYYY-MM-DD, the month is always two digits. So single-digit months wouldn't appear, right? Hmm, actually, no, because if it's like 2023-5-04, that would be invalid, but wait no—ISO requires two digits for each part, so the correct format is four digits, hyphen, two digits (month), hyphen, two digits (day). So for the month part, I need to ensure it's between 01 and 12. How do I write a regex that enforces that? Well, perhaps using a capturing group with ranges: (0[1-9]|1[0-2]). That way, months from 01 to 12 are matched. The year can be any four digits, so (\d{4}) as the first part. Then the day is similar but varies; it should be between 01 and 31, but wait, do we need to validate days? The question only specifies months, so I think it's enough to just check the month part.
So putting it all together: ^\d{4}-(0[1-9]|1[0-2])-\d{2}$.
Wait, no—actually, after the month is two digits. But in addition, days can vary, but since the question only specifies months 01-12, maybe I don't need to validate the day further. So yes, that regex should match YYYY-MM-DD with months between 01 and 12.
Moving on to task two: SQL query to find the top 5 customers by total order value from the orders table which has columns customer_id and amount. To get this, I would need to sum the amount for each customer and then order them in descending order of that sum, then take the top five. So using a GROUP BY on customer_id with SUM(amount) as a column alias, then ORDER BY that sum in DESC, LIMIT 5.
So the query would be: SELECT customer_id, SUM(amount) AS total FROM orders GROUP BY customer_id ORDER BY total DESC LIMIT 5;
Wait, but do I need to alias 'total' or could it just have an alias? Also, what if multiple customers have the same total? But since we're using LIMIT, it takes the top five regardless.
Next task three: jq expression to extract all .id values from a JSON structure like {"items":[{"id":...},...]}. So the structure is at the root level has an 'items' array. Each item in items has an 'id'. So how do I get all the 'id's? Using jq, you can iterate over each item in items and extract .id. The way to write this is probably: .items[].id. That should output all the id values as an array.
So the expression would be: jq '.items[].id'
Then task four: CSS selector for all links inside <nav> that open external http(s) URLs. So first, I need links (a elements), within a nav element.
The selector needs to target any <a> tag within <nav>, and with an href starting with 'http' or 'https', maybe also checking if it's protocol-relative but the question specifies external http(s), so perhaps excluding data: or mailto: schemes. But as per the task, any a element in nav where the href starts with http:// or https://.
So the selector would be 'nav a[href^="http://"], nav a[href^="https://"]');
but wait, another way is to combine them using ^ for start with. Alternatively, use [href^="http:"], because both http:// and https:// start with http:. So perhaps 'a[href^="http:"] would match both.
But wait, sometimes URLs in href might have other protocols as well, but the question specifies external http(s), so it's correct to target those starting with http or https. But the way to write the attribute selector is using href^='https' OR href^='http', but combining them requires a | which isn't always straightforward.
Wait no, the starts with can be written as [href^="http:"], and this matches both because "http:" is the start of both http:// and https://. Wait no: "http:" vs "https:". So actually, 'http:' will match the beginning for http, but https starts with 'https', so to include both, do I need separate selectors?
Alternatively, using OR in the attribute selector isn't possible, so perhaps a better approach is to use two selectors: nav a[href^="http://"], nav a[href^="https://"].
But perhaps using a single selector that matches href starting with either http or https. Using :matches() but I think that might be more complex. Alternatively, just using 'nav a[href^='http']' because both protocols start with http. Wait no—hrefs could be in the form of "https://example.com" which starts with 'https', not 'http'. So perhaps a better way is to select any href that starts with 'http:' or 'https:'. Alternatively, using regex in the attribute selector.
In CSS selectors, you can't directly use regex, but you can use an asterisk for certain parts. Wait, no—you can't. Alternatively, if your browser supports it via extensions like :has() or other, but generally, standard CSS doesn't have this. So perhaps the correct way is to write two separate selectors: [href^="http:"] and [href^="https:"], within nav.
So writing 'nav a[href^="http:"]' or 'a[href^="https:"]'. But since both http and https, maybe better to write the OR condition as (but CSS doesn't support | in attribute selectors for starts with). So perhaps just writing it as:
nav a[href^=http], nav a[href^=https]
But wait, in actual practice, it's sometimes written as [href^="http:"] and [href^="https:"]. Alternatively, using *= which is case-insensitive match, but I'm not sure if that would help.
Alternatively, perhaps the correct way is to target all 'a' elements within 'nav', with hrefs starting with http:// or https://. So in the selector, we can write:
nav a[href^="http:"], nav a[href^="https:"]
So each 'http:' and 'https:' respectively.
Finally, task five: bash pipeline to count unique IP addresses (first column) in access.log. So the log file's first column is the IP, probably preceded by something like 192.168.1.1 or similar. So using cat to read the file, then cut -d ' ' -f 1 to extract the first field.
Then, through a pipe to sort and uniq, but wait, to count unique, perhaps using sort | uniq? But if only want the number, can use wc -l on that.
So the pipeline would be: cat access.log | cut -d' ' -f1 | sort | uniq | wc -l. Alternatively, it's more efficient to skip sorting and just get unique after that, but in any case, perhaps cat access.log | cut ... | sort -u | wc -l.
Wait, no—since 'sort -u' is another way, or you can have 'uniq' only if the data is sorted. But for unique count, it's better to sort first as uniq works on consecutive duplicates. So perhaps yes:
cat access.log | cut -d ' ' -f 1 | sort | uniq | wc -l.
Alternatively, using a single pipeline with tr and other commands but I think that's more complicated.
Wait, another way is: cut -f1 access.log | wc -c but no—it depends on record count. Alternatively, just process as such.
So yes, the correct command would be:
cat access.log | cut -d ' ' -f1 | sort | uniq | wc -l;
Or perhaps without 'sort' if you're only interested in the number of uniques—but actually, 'uniq' works on consecutive lines, but count all unique regardless of order.
Wait, actually, no—wait. No, that's incorrect. Because 'cut ... | uniq' would only output one instance per line, so using 'uniq -c' would give the count.
Alternatively, perhaps a more efficient way is to use 'awk' directly with NR=1 or something, but since it's a pipe, you can process it as needed.
Wait, in any case, using the cut to get first field, then uniq to find unique entries, and count the number. So the steps are:
1. Extract first column: cut -d ' ' -f 1
2. Find unique entries of those.
3. Count them.
So the command is:
cat access.log | cut -d' ' -f1 | sort | uniq | wc -l
Alternatively, it's more efficient to do this with a single process like:
awk '{ print $1 }' access.log | sort | uniq | wc -l
But since he asked for the solution, perhaps using cut is sufficient.
Now just check each of these steps again to make sure I didn't miss anything.1. /^\d{4}-(0[1-9]|1[0-2])-\d{2}$/
2. SELECT customer_id, SUM(amount) AS total FROM orders GROUP BY customer_id ORDER BY total DESC LIMIT 5;
3. `.items[].id`
4. `nav a[href^="http:"], nav a[href^="https:"]`
5. `cat access.log | cut -d ' ' -f1 | sort | uniq | wc -l````^
1
2.\`|^(?=(\\d{4}-((0[1-9])|(1[0-2]))-\\d{2}$|\\b))
2
SELECT customer_id, SUM(amount) AS total_value FROM orders GROUP BY customer_id ORDER BY total_value DESC LIMIT 5;
3.[.items[*].id]
4.nav a[href^="http"],nav a[href^="https"]
5.{ cut -d' ' -f1;sort|uniq}1. `^\d{4}-(0[1-9]|1[0-2])-\d{2}$`
2. `SELECT customer_id, SUM(amount) AS total FROM orders GROUP BY customer_id ORDER BY total DESC LIMIT 5;`
3. `.items[].id`
4. `nav a[href^="http://"], nav a[href^="https://"]`
5. `awk '{print $1}' access.log | sort -u | wc -l`1. ^\d{4}-(0[1-9]|1[0-2])-([0-2]\d|3[01])$
2. SELECT customer_id, SUM(amount) AS total FROM orders GROUP BY customer_id ORDER BY total DESC LIMIT 5;
3. .items[].id
4. nav a[href^="http"], nav a[href^="https"]
5. cut -d' ' -f1 access.log | sort -u | wc -l1. ^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01])$
2. SELECT customer_id, SUM(amount) AS total_value FROM orders GROUP BY customer_id ORDER BY total_value DESC LIMIT 5;
3. .items[].id
4. nav a[href^="http"]:not([href*="example.com"])
5. awk '{print $1}' access.log | sort -u | wc -l1. ^\d{4}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01])$
2. SELECT customer_id, SUM(amount) AS total FROM orders GROUP BY customer_id ORDER BY total DESC LIMIT 5;
3. [.items[].id]
4. nav a[href^="http"]
5. awk '{print $1}' access.log | sort -u | wc -l1. ^\d{4}-(0[1-9]|1[0-2])-\d{2}$
2. SELECT customer_id, SUM(amount) AS total FROM orders GROUP BY customer_id ORDER BY total DESC LIMIT 5;
3. .items[].id
4. nav a[href^="http"]
5. cut -d' ' -f1 access.log | sort -u | wc -l