(wow) Words Of Wonders Level 2671 Answers – For the third time in the weekly report, two numismatic products ranked No. 1 and No. 2 in the U.S. Mint’s weekly sales. The proofs in 2020 ranked first, an increase of 7,701 to 307,382, and the silver proofs in 2022 ranked second, an increase of 2,564 to 184,180.
Sales of flagship products were strong, with six breaking 1,000 units, compared to just four in the previous report.
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Finally, looking at sales since its July 12 release, taking into account comments on its scrapping, the uncirculated Mint 2022 sold 164,710 units in its first six days – the second-highest number in a series released in previous years , while 153 pieces of 895 are scheduled to be completed in 2021 during the same period. Over 10,000, it dropped 6,453 in the first full week of the sale, regained 3,012 by the second full week, and gained 2,092 for a total of 163. , 361 in 27 days. Last year there were 27 days with sales of 164,759.
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In its latest report, the U.S. Mint released sales data for 248 coin products. That’s 55 more wins than the previous week’s 68. Additionally, nine of Mint’s products had negative weekly sales, compared with 12 in the previous sales report. All reductions are low, with a maximum of 7.
The following charts show the latest sales of U.S. Mint coin offerings. The sale period is August 1-7. Products marked with an asterisk (*) are no longer available and availability will not be displayed.
The Royal Mint (www.royalmint.com) has launched the first commemorative 2023 coins featuring the King’s official image. The version is…
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SSH: Ha! Well, I’ve always felt that way about v, whether it’s the fact that scopes work, or the fact that not everything can be very fast. Rapidly.
When version 2 was done and we started practicing summative tasks, I realized I had dropped that basic teacher or guide and things had morphed into a guide that said:
“We’ll give what we can do intuitively and always know the work, but we won’t hold back from adding features because it’s not a speed demon.”
SSH: Well, in terms of the development of the idea, I don’t know if it’s a deal. Because once I added the following functionality, I didn’t regret it.
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But this new guideline makes us start thinking about functions like: , >=, <=, etc.
SSH: Of course! And, I must say, the description of the day is also included in this new mode guide I mentioned.
SSH: Yes – in addition to different tools, some format-based comparison tools have been added and a new parallel method that improves the ability to compare numerical values.
SSH: Yes – NUMERIC_EQUALS was added to handle cases where JSON contains numeric data stored in JSON as strings. As you can see, this is not normal.
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SSH: I thought about this and found that matching plain strings fails when the value is stored as “150.00”.
Or better yet, I guess I should say that if the developer using JSONQuery doesn’t know that it should be comparing to the string value “150.00” instead of the numeric value 150, the comparison will fail.
I don’t want to have that control because it’s confusing, or because JSONQuery doesn’t help where it’s most efficient.
SSH: After thinking about it for a while, I decided (as a JSONQuery user) that what I wanted was the ability to compare JSONString nodes, but tell JSONQuery that it should store those string values. number , that is, it needs to append the JSON value to GetAsNumber before doing the comparison against my source value in order for the comparison to recognize number comparisons correctly. Thus NUMERIC_EQUALS was born.
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SSH: Yes – comparing numeric values is no different than using the standard EQUALS match operator, since JSONNumber values do not have the ambiguity of string values.
SSH: However, for consistency, JSONQuery allows developers to specify JSONString, JSONNumber, or both. I did my best – I can honestly see room for improvement on this idea, but I think it’s a good thing. If we look at example #10, we can see the following:
SSH: The distinct values under the “a” key are stored in an array. If we try to compare them as an array, we won’t be able to catch all the values representing 12000 values.
SSH: Yes. This means that we will not only get a value like “12000”, but also 12000 (without the quotes).
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KF: Then in example 11 you only show string matches, in example 12 you only show numeric matches.
SSH: So, in a nutshell, the point of the NUMERIC_EQUALS operator is a way to try and control the EQUALS operator in cases where JSON stores numeric values as JSONString .
SSH: What if we quickly looked at BEGINS_WITH and ENDS_WITH, and then we could move on to CONTAINS?
SSH: BEGINS_WITH has nothing new. It is the username of user LIKE. And it works like regular LIKE: matches values that start with (begin with) the given substring value.
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Since I’m introducing an ENDS_WITH user, I thought it might be easier to match the names. So ENDS_WITH was introduced, and LIKE was renamed to BEGINS_WITH. But having said that, anyone can use “LIKE” as a user – there’s a reverse comparison for that.
SSH:ENDS_WITH does what the name suggests: a value is considered a match if it ends with the specified substring.
SSH: Like BEGINS_WITH, ENDS_WITH has no case. All substrings must match (regardless of case) and will be considered a match. So, for example, in example 14 we are comparing records where the email address ends in “.net”.
SSH: Sometimes I think this is one of the (rare?) examples of what I think is a real example.
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KF: Not trying to take away your other strengths, but I agree that #14 is a very valid point. If I change the result path to “email”, the result is as follows.
SSH: CONTAINS Similar to the PatternCount test method, but with a different case-sensitivity method. In example #15, you can see that we are processing everything that has the string “Chi” in the street number.
SSH: Example 15 uses CONTAIN, which is not the case. It changes street numbers that contain strings like “Michigan” and “Chinook”.
SSH: Yes – that’s right. Instead, from Ex. 16 uses CONTAINS_CASE_SENSITIVE, and since we specified “Chi” as the match string, we don’t return matches for strings like “Michigan” (with “c” unchecked). ).
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Shi: Yes. It’s different under the hood. Some features need to be changed across *all* competitors in order to determine competitive outcomes (these are late features). There are also functions that use shortcuts to reduce the amount of changes required (speed).
SSH: User falls into the “slower” category. But – once I started adding “slower” features, I realized that speed wasn’t as lacking as I thought it would be.
KF: Speaking of general users, I wish you would give us “x” levels of options. No “x” like FM. Trailing numbers with one or two “x”s are ignored.
Shi: Yes.
