EL MARIACHI A film review by James Berardinelli Copyright 1993 James Berardinelli
Date Released: Limited Release begins 3/93 Running Length: 1:24 Rated: R (Mature themes, violence)
Starring: Carlos Gallardo, Consuelo Gomez, Peter Marquardt, Reinol Martinez Director: Robert Rodriguez Producers: Robert Rodriguez and Carlos Gallardo Screenplay: Robert Rodriguez Released by Columbia Pictures Spanish with English Subtitles
The title character of EL MARIACHI is the mariachi (Carlos Gallardo), an itinerant musician who goes from town to town in Mexico looking for a new place to play his music. Dressed in black and carrying his guitar in a case, he inquires at various bars and restaurants if they will hire him. Unfortunately for the mariachi, Azul (Reinol Martinez) has just broken out of prison and is on his way to kill crime boss Roco (Peter Marquardt). No one except Roco has seen Azul, so the description of the escaped criminal is sparse: he dresses in black and carries a guitar case (which, instead of containing a musical instrument, has a selection of knives and guns). An obvious case of mistaken identity arises as Roco's thugs think the mariachi is Azul. Suddenly, the simple musician is on the run from men trying to gun him down. Fortunately for the mariachi, he finds a sympathetic ear in the person of Domino (Consuelo Gomez), but her introduction into his life only adds new and previously unforeseen complications.
EL MARIACHI is the $7000 wonder. For less money than many television commercials are budgeted at, Robert Rodriguez took his crew down to Mexico and filmed a tightly-gripping, eminently entertaining thriller that outdoes most of what Hollywood is putting out today at costs three orders of magnitude greater. This is proof positive, if any be needed, that film quality should not be measured by the amount of money put into a production.
EL MARIACHI is an old-fashioned thriller based on a case of mistaken identity. It's the kind of film that Humphrey Bogart might have been at home in. The only noticeable difference between this movie and something produced in the 1940s is the level of graphic violence. Rodriguez doesn't pull any punches when it comes to showing people getting shot. There's enough blood and gore in this film to earn it an R rating.
The script is clever, and, although the plot occasionally relies upon contrivances, these instances are no more frequent or glaring than in most other modern action films. They are perhaps more noticeable in EL MARIACHI because of the consistently high quality of the writing.
Thrillers are expected to deliver a lot of pulse-pounding action, and EL MARIACHI complies without difficulty. The elements of exploitation in this film, while present, are kept to a minimum - on Rodriguez' budget, anything else would have been impossible. For the most part, the characters are not three-dimensional, but they have enough quirks to give them more personality than the average stock action film creation. Numerous moments of irony and humor keep the movie from descending too deeply into grimness.
On only a few occasions is it obvious that Rodriguez is a novice director working on a limited budget. For the most part, EL MARIACHI appears like a professional film produced for a sizable amount of money. It doesn't look Hollywood - the subtitles and the cleverness of the script make that much obvious - but neither does it look like the $7000 creation of a film student.
The actors, all of them complete unknowns (and friends of Rodriguez), have some ability, especially Consuelo Gomez. But whether they make another film appearance or not, we can only look forward with baited breath for the director's next project. If he can do as much, or more, with a bigger budget (Columbia has signed him to a contract), we may be in for a real treat. Until then, EL MARIACHI is an excellent introduction to the talent of Robert Rodriguez, and a truly remarkable film in its own right.
Rating: 8.6 (A-, ***)
- James Berardinelli<EMAIL_ADDRESS>.
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Welcome to webkey! Webkey is an RSA based single-click web authentication utility.
It allows a web application to allow users to securely authenticate without sending usernames and passwords.
To authenticate on a new website, a user would click on a button displayed within an `iframe`, and then confirm on a confirmation page.
Subsequent authentications can be done automatically if the user wants.
Read more at
https://github.com/webkey-auth/webkey-auth.github.io


Authenticate with U2F Device
Press the button on the token you have called {{ key.name }}.
{% from "macros.html" import form_field_with_errors with context %} {% extends "layout.html" %} {% block head %} {{ super() }} {% endblock %} {% block body %}
Press the button on the token you have called {{ key.name }}.


All your new requests, accept or refuse them:
Company VAT Number
Actions
{{individualRequest.thirdParty.vat}}
Accept
Refuse
All your accepted requests, you can refuse them if you want:
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{{individualRequest.thirdParty.vat}}
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Regular Expressions In JavaScript
Basic:
Regular Expressions In JavaScript
Basic:
Anchors
- ^ Start of string or line
- \A Start of string
- $ End of string or line
- \Z End of string
- \b Word boundary
- \B Not word boundary
- \< Start of word
- \> End of word
Character Classes
- \c Control character
- \s Whitespace [ \t\r\n\v\f]
- \S Not Whitespace [^ \t\r\n\v\f]
- \d Digit [0–9]
- \D Not digit [⁰-9]
- \w Word [A-Za-z0–9_]
- \W Not Word [^A-Za-z0–9_]
- \x Hexadecimal digit [A-Fa-f0–9]
- \O Octal Digit [0–7]
POSIX Classes
- [:upper:] Uppercase letters [A-Z]
- [:lower:] Lowercase letters [a-z]
- [:alpha:] All letters [A-Za-z]
- [:alnum:] Digits and letters [A-Za-z0–9]
- [:digit:] Digits [0–9]
- [:xdigit:] Hexadecimal digits [0–9a-f]
- [:punct:] Punctuation
- [:blank:] Space and tab [ \t]
- [:space:] Blank characters [ \t\r\n\v\f]
- [:cntrl:] Control characters [\x00-\x1F\x7F]
- [:graph:] Printed characters [\x21-\x7E]
- [:print:] Printed characters and spaces [\x20-\x7E]
- [:word:] Digits, letters and underscore [A-Za-z0–9_]
Pattern Modifiers
- //g Global Match (all occurrences)
- //i Case-insensitive
- //m Multiple line
- //s Treat string as single line
- //x Allow comments and whitespace
- //e Evaluate replacement
- //U Ungreedy pattern
Escape Sequences
- \ Escape following character
- \Q Begin literal sequence
- \E End literal sequence
Quantifiers
- * 0 or more
- + 1 or more
- ? 0 or 1 (optional)
- {3} Exactly 3
- {3,} 3 or more
- {2,5} 2, 3, 4 or 5
Groups and Ranges
- . Any character except newline (\n)
- (a|b) a or b
- (…) Group
- (?:…) Passive (non-capturing) group
- [abc] Single character (a or b or c)
- [^abc] Single character (not a or b or c)
- [a-q] Single character range (a or b … or q)
- [A-Z] Single character range (A or B … or Z)
- [0–9] Single digit from 0 to 9
Assertions
- ?= Lookahead assertion
- ?! Negative lookahead
- ?<= Lookbehind assertion
- ?!= / ?<! Negative lookbehind
- ?> Once-only Subexpression
- ?() Condition [if then]
- ?()| Condition [if then else]
- ?# Comment
- \n New line
- \r Carriage return
- \t Tab
- \v Vertical tab
- \f Form feed
- \ooo Octal character ooo
- \xhh Hex character hh
String Replacement
- $n n-th non-passive group
- \(2 “xyz” in /^(abc(xyz))\)/
- \(1 “xyz” in /^(?:abc)(xyz)\)/
- $` Before matched string
- $’ After matched string
- $+ Last matched string
- $& Entire matched string
View original.
Exported from Medium on July 13, 2021.


Statefull processors¶
Stateful transformations depend on state for processing inputs and producing outputs and require a state store associated with the stream processor. For example, in aggregating operations, a windowing state store is used to collect the latest aggregation results per window. In join operations, a windowing state store is used to collect all of the records received so far within the defined window boundary.
Count¶
Rolling aggregation. Counts the number of records by the grouped key. (see IKGroupedStream for details)
Several variants of count exist.
IKGroupedStream → IKTable
IKGroupedTable -> IKTable
var groupedStream = builder
.Stream<string, string>("test")
.GroupBy((k, v) => k.ToUpper());
// Counting a IKGroupedStream
var table = groupedStream.Count(InMemory<string, long>.As("count-store"));
var table2 = builder
.Table<string, string>("topic")
.GroupBy((k, v) => KeyValuePair.Create(k.ToCharArray()[0], v))
.Count(InMemory<char, long>.As("count-store2").WithKeySerdes(new CharSerDes()));
Detailed behavior for IKGroupedStream:
Input records with null keys or values are ignored.
Detailed behavior for IKGroupedTable:
Input records with null keys are ignored. Records with null values are not ignored but interpreted as “tombstones” for the corresponding key, which indicate the deletion of the key from the table.
Count (Windowed)¶
** Windowed aggregation.** Counts the number of records, per window, by the grouped key. (ITimeWindowedKStream details)
The windowed count turns a ITimeWindowedKStream<K, V> into a windowed IKTable<Windowed
var groupedStream = builder
.Stream<string, string>("topic")
.GroupByKey();
var countStream = groupedStream
.WindowedBy(TumblingWindowOptions.Of(2000))
.Count(m);
Detailed behavior:
Input records with null keys or values are ignored.
Aggregate¶
Rolling aggregation. Aggregates the values of (non-windowed) records by the grouped key. Aggregating is a generalization of reduce and allows, for example, the aggregate value to have a different type than the input values. (see IKGroupedStream for details)
When aggregating a grouped stream, you must provide an initializer (e.g., aggValue = 0) and an “adder” aggregator (e.g., aggValue + curValue).
Several variants of aggregate exist.
KGroupedStream → IKTable
IKGroupedTable -> IKTable
var groupedStream = builder
.Stream<string, string>("test")
.GroupBy((k, v) => k.ToUpper());
var table = groupedStream.Aggregate(() => 0L, (k,v,agg) => agg+ 1, InMemory<string, long>.As("agg-store").WithValueSerdes<Int64SerDes>());
var table2 = builder
.Table<string, string>("topic")
.GroupBy((k, v) => KeyValuePair.Create(k.ToUpper(), v))
.Aggregate(
() => new Dictionary<char, int>(),
(k, v, old) =>
{
var caracs = v.ToCharArray();
foreach (var c in caracs)
{
if (old.ContainsKey(c))
++old[c];
else
old.Add(c, 1);
}
return old;
},
(k, v, old) => old,
InMemory<string, Dictionary<char, int>>.As("agg-store2").WithValueSerdes<DictionarySerDes>()
);
Detailed behavior of IKGroupedStream:
Input records with null keys are ignored.
When a record key is received for the first time, the initializer is called (and called before the adder).
Whenever a record with a non-null value is received, the adder is called.
Detailed behavior of IKGroupedTable:
Input records with null keys are ignored.
When a record key is received for the first time, the initializer is called (and called before the adder and subtractor). Note that, in contrast to IKGroupedStream, over time the initializer may be called more than once for a key as a result of having received input tombstone records for that key (see below).
When the first non-null value is received for a key (e.g., INSERT), then only the adder is called.
When subsequent non-null values are received for a key (e.g., UPDATE), then (1) the subtractor is called with the old value as stored in the table and (2) the adder is called with the new value of the input record that was just received. The order of execution for the subtractor and adder is not defined.
When a tombstone record – i.e. a record with a null value – is received for a key (e.g., DELETE), then only the subtractor is called. Note that, whenever the subtractor returns a null value itself, then the corresponding key is removed from the resulting IKTable. If that happens, any next input record for that key will trigger the initializer again.
Aggregate (Windowed)¶
Windowed aggregation. Aggregates the values of records, per window, by the grouped key. Aggregating is a generalization of reduce and allows, for example, the aggregate value to have a different type than the input values. (ITimeWindowedKStream details)
You must provide an initializer (e.g., aggValue = 0), “adder” aggregator (e.g., aggValue + curValue), and a window. When windowing based on sessions, you must additionally provide a “session merger” aggregator (e.g., mergedAggValue = leftAggValue + rightAggValue).
The windowed aggregate turns a ITimeWindowedKStream<K, V> into a windowed IKTable<Windowed
var groupedStream = builder
.Stream<string, string>("topic")
.GroupByKey();
var aggStream = groupedStream
.WindowedBy(TumblingWindowOptions.Of(2000))
.Aggregate(
() => 0,
(k, v, agg) => Math.Max(v.Length, agg),
m);
Detailed behavior:
The windowed aggregate behaves similar to the rolling aggregate described above. The additional twist is that the behavior applies per window.
Input records with null keys are ignored in general.
When a record key is received for the first time for a given window, the initializer is called (and called before the adder).
Whenever a record with a non-null value is received for a given window, the adder is called.
Reduce¶
Rolling aggregation. Combines the values of (non-windowed) records by the grouped key. The current record value is combined with the last reduced value, and a new reduced value is returned. The result value type cannot be changed, unlike aggregate. (see IKGroupedStream for details)
When reducing a grouped stream, you must provide an “adder” reducer (e.g., aggValue + curValue).
Several variants of reduce exist.
IKGroupedStream → IKTable
IKGroupedTable -> IKTable
var groupedStream = builder
.Stream<string, string>("test")
.MapValues(v => v.Length)
.GroupBy((k, v) => k.ToUpper());
// Reduce a IKGroupedStream
var table = groupedStream.Reduce((agg, new) => agg + new, InMemory<string, int>.As("reduce-store").WithValueSerdes<Int32SerDes>());
var table2 = builder
.Table<string, string>("topic")
.MapValues(v => v.Length)
.GroupBy((k, v) => KeyValuePair.Create(k.ToUpper(), v))
.Reduce(
(v1, v2) => Math.Max(v1, v2),
(v1, v2) => Math.Max(v1, v2),
InMemory<string, int>.As("reduce-store2").WithValueSerdes<Int32SerDes>());
Detailed behavior for IKGroupedStream:
Input records with null keys are ignored in general.
When a record key is received for the first time, then the value of that record is used as the initial aggregate value.
Whenever a record with a non-null value is received, the adder is called.
Detailed behavior for IKGroupedTable:
Input records with null keys are ignored in general.
When a record key is received for the first time, then the value of that record is used as the initial aggregate value. Note that, in contrast to IKGroupedStream, over time this initialization step may happen more than once for a key as a result of having received input tombstone records for that key (see below).
When the first non-null value is received for a key (e.g., INSERT), then only the adder is called.
When subsequent non-null values are received for a key (e.g., UPDATE), then (1) the subtractor is called with the old value as stored in the table and (2) the adder is called with the new value of the input record that was just received. The order of execution for the subtractor and adder is not defined.
When a tombstone record – i.e. a record with a null value – is received for a key (e.g., DELETE), then only the subtractor is called. Note that, whenever the subtractor returns a null value itself, then the corresponding key is removed from the resulting IKTable. If that happens, any next input record for that key will re-initialize its aggregate value.
Reduce (Windowed)¶
Windowed aggregation. Combines the values of records, per window, by the grouped key. The current record value is combined with the last reduced value, and a new reduced value is returned. Records with null key or value are ignored. The result value type cannot be changed, unlike aggregate. (ITimeWindowedKStream details)
The windowed reduce turns a turns a ITimeWindowedKStream<K, V> into a windowed IKTable<Windowed
var groupedStream = builder
.Stream<string, string>("topic")
.GroupByKey();
var reduceStream = groupedStream
.WindowedBy(TumblingWindowOptions.Of(2000))
.Reduce((v1, v2) => v1.Length > v2.Length ? v1 : v2);
Detailed behavior:
The windowed reduce behaves similar to the rolling reduce described above. The additional twist is that the behavior applies per window.
Input records with null keys are ignored in general.
When a record key is received for the first time for a given window, then the value of that record is used as the initial aggregate value.
Whenever a record with a non-null value is received for a given window, the reducer is called.
IKStream-IKStream Join¶
IKStream-IKStream joins are always windowed joins, because otherwise the size of the internal state store used to perform the join – e.g., a sliding window or “buffer” – would grow indefinitely. For stream-stream joins it’s important to highlight that a new input record on one side will produce a join output for each matching record on the other side, and there can be multiple such matching records in a given join window.
Inner Join (Windowed)¶
(IKStream, IKStream) → IKStream
Performs an INNER JOIN of this stream with another stream. Even though this operation is windowed, the joined stream will be of type IKStream<K, V> rather than IKStream<Windowed
Data must be co-partitioned: The input data for both sides must be co-partitioned.
Causes data re-partitioning of a stream if and only if the stream was marked for re-partitioning (if both are marked, both are re-partitioned).
var stream1 = builder.Stream<string, string>("topic1");
var stream2 = builder.Stream<string, string>("topic2");
stream1.Join(stream2,
(v1, v2) => $"{v1}-{v2}",
JoinWindowOptions.Of(TimeSpan.FromMinutes(1)))
.To("output-join");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key, and window-based, i.e. two input records are joined if and only if their timestamps are “close” to each other as defined by the user-supplied JoinWindows, i.e. the window defines an additional join predicate over the record timestamps.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied ValueJoiner will be called to produce join output records.
Input records with a null key or a null value are ignored and do not trigger the join. See the semantics overview at the bottom of this section for a detailed description.
Left Join (Windowed)¶
(IKStream, IKStream) → IKStream
Performs a LEFT JOIN of this stream with another stream. Even though this operation is windowed, the joined stream will be of type IKStream<K, V> rather than IKStream<Windowed
Data must be co-partitioned: The input data for both sides must be co-partitioned.
Causes data re-partitioning of a stream if and only if the stream was marked for re-partitioning (if both are marked, both are re-partitioned).
var stream1 = builder.Stream<string, string>("topic1");
var stream2 = builder.Stream<string, string>("topic2");
stream1.LeftJoin(stream2,
(v1, v2) => $"{v1}-{v2}",
JoinWindowOptions.Of(TimeSpan.FromMinutes(1)))
.To("output-join");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key, and window-based, i.e. two input records are joined if and only if their timestamps are “close” to each other as defined by the user-supplied JoinWindows, i.e. the window defines an additional join predicate over the record timestamps.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied ValueJoiner will be called to produce join output records.
Input records with a null key or a null value are ignored and do not trigger the join. For each input record on the left side that does not have any match on the right side, the joiner will be called with joiner(leftRecord.value, null); this explains the row with timestamp=3 in the table below, which lists [A, null] in the LEFT JOIN column.
Outer Join (Windowed)¶
(IKStream, IKStream) → IKStream
Performs a OUTER JOIN of this stream with another stream. Even though this operation is windowed, the joined stream will be of type IKStream<K, V> rather than IKStream<Windowed
Data must be co-partitioned: The input data for both sides must be co-partitioned.
Causes data re-partitioning of a stream if and only if the stream was marked for re-partitioning (if both are marked, both are re-partitioned).
var stream1 = builder.Stream<string, string>("topic1");
var stream2 = builder.Stream<string, string>("topic2");
stream1.OuterJoin(stream2,
(v1, v2) => $"{v1}-{v2}",
JoinWindowOptions.Of(TimeSpan.FromMinutes(1)))
.To("output-join");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key, and window-based, i.e. two input records are joined if and only if their timestamps are “close” to each other as defined by the user-supplied JoinWindows, i.e. the window defines an additional join predicate over the record timestamps.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied ValueJoiner will be called to produce join output records.
Input records with a null key or a null value are ignored and do not trigger the join. For each input record on one side that does not have any match on the other side, the joiner will be called with joiner(leftRecord.value, null) or joiner(null, rightRecord.value), respectively; this explains the row with timestamp=3 in the table below, which lists [A, null] in the OUTER JOIN column (unlike LEFT JOIN, [null, x] is possible, too, but no such example is shown in the table).
IKStream-IKTable Join¶
IKStream-IKTable joins are always non-windowed joins. They allow you to perform table lookups against a IKTable (changelog stream) upon receiving a new record from the IKStream (record stream). An example use case would be to enrich a stream of user activities (IKStream) with the latest user profile information (IKTable).
Inner Join¶
(IKStream, IKTable) → IKStream
Performs an INNER JOIN of this stream with the table, effectively doing a table lookup.
Data must be co-partitioned: The input data for both sides must be co-partitioned.
Causes data re-partitioning of the stream if and only if the stream was marked for re-partitioning.
var stream1 = builder.Stream<string, string>("topic1");
var table = builder.Table<string, string>("topic2", InMemory<string, string>.As("table-store"));
stream1.Join(table,(v1, v2) => $"{v1}-{v2}")
.To("output-join");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied joiner will be called to produce join output records.
Only input records for the left side (stream) trigger the join. Input records for the right side (table) update only the internal right-side join state. Input records for the stream with a null key or a null value are ignored and do not trigger the join. Input records for the table with a null value are interpreted as tombstones for the corresponding key, which indicate the deletion of the key from the table. Tombstones do not trigger the join.
Left Join¶
(IKStream, IKTable) → IKStream
Performs an LEFT JOIN of this stream with the table, effectively doing a table lookup.
Data must be co-partitioned: The input data for both sides must be co-partitioned.
Causes data re-partitioning of the stream if and only if the stream was marked for re-partitioning.b
var stream1 = builder.Stream<string, string>("topic1");
var table = builder.Table<string, string>("topic2", InMemory<string, string>.As("table-store"));
stream1.LeftJoin(table,(v1, v2) => $"{v1}-{v2}")
.To("output-join");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied joiner will be called to produce join output records.
Only input records for the left side (stream) trigger the join. Input records for the right side (table) update only the internal right-side join state. Input records for the stream with a null key or a null value are ignored and do not trigger the join. Input records for the table with a null value are interpreted as tombstones for the corresponding key, which indicate the deletion of the key from the table. Tombstones do not trigger the join. For each input record on the left side that does not have any match on the right side, the ValueJoiner will be called with joiner(leftRecord.value, null); this explains the row with timestamp=3 in the table below, which lists [A, null] in the LEFT JOIN column.
IKStream-IGlobalKTable Join¶
IKStream-IGlobalKTable joins are always non-windowed joins. They allow you to perform table lookups against a IGlobalKTable (entire changelog stream) upon receiving a new record from the IKStream (record stream). An example use case would be “star queries” or “star joins”, where you would enrich a stream of user activities (IKStream) with the latest user profile information (IGlobalKTable) and further context information (further GlobalKTables). However, because GlobalKTables have no notion of time, a IKStream-IGlobalKTable join is not a temporal join, and there is no event-time synchronization between updates to a IGlobalKTable and processing of IKStream records.
At a high-level, IKStream-IGlobalKTable joins are very similar to IKStream-IKTable joins. However, global tables provide you with much more flexibility at the some expense when compared to partitioned tables:
They do not require data co-partitioning.
They allow for efficient “star joins”; i.e., joining a large-scale “facts” stream against “dimension” tables
They allow for joining against foreign keys; i.e., you can lookup data in the table not just by the keys of records in the stream, but also by data in the record values.
They make many use cases feasible where you must work on heavily skewed data and thus suffer from hot partitions.
They are often more efficient than their partitioned IKTable counterpart when you need to perform multiple joins in succession.
Inner Join¶
(IKStream, IGlobalKTable) → IKStream
Performs an INNER JOIN of this stream with the global table, effectively doing a table lookup. (details)
The IGlobalKTable is fully bootstrapped upon (re)start of a KafkaStreams instance, which means the table is fully populated with all the data in the underlying topic that is available at the time of the startup. The actual data processing begins only once the bootstrapping has completed.
var stream1 = builder.Stream<string, string>("topic1");
var table = builder.GlobalTable<string, string>("topic2", InMemory<string, string>.As("table-store"));
stream1.Join(table,
(k,v) => k.ToUpper(),
(v1, v2) => $"{v1}-{v2}")
.To("output-join");
Detailed behavior:
The join is indirectly key-based, i.e. with the join predicate keymapper(leftRecord.key, leftRecord.value) == rightRecord.key.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied ValueJoiner will be called to produce join output records.
Only input records for the left side (stream) trigger the join. Input records for the right side (table) update only the internal right-side join state. Input records for the stream with a null key or a null value are ignored and do not trigger the join. Input records for the table with a null value are interpreted as tombstones, which indicate the deletion of a record key from the table. Tombstones do not trigger the join.
Left Join¶
(IKStream, IGlobalKTable) → IKStream
Performs an LEFT JOIN of this stream with the global table, effectively doing a table lookup. (details)
The IGlobalKTable is fully bootstrapped upon (re)start of a KafkaStreams instance, which means the table is fully populated with all the data in the underlying topic that is available at the time of the startup. The actual data processing begins only once the bootstrapping has completed.
var stream1 = builder.Stream<string, string>("topic1");
var table = builder.GlobalTable<string, string>("topic2", InMemory<string, string>.As("table-store"));
stream1.LeftJoin(table,
(k,v) => k.ToUpper(),
(v1, v2) => $"{v1}-{v2}")
.To("output-join");
Detailed behavior:
The join is indirectly key-based, i.e. with the join predicate keymapper(leftRecord.key, leftRecord.value) == rightRecord.key.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied ValueJoiner will be called to produce join output records.
Only input records for the left side (stream) trigger the join. Input records for the right side (table) update only the internal right-side join state. Input records for the stream with a null key or a null value are ignored and do not trigger the join. Input records for the table with a null value are interpreted as tombstones, which indicate the deletion of a record key from the table. Tombstones do not trigger the join. For each input record on the left side that does not have any match on the right side, the joiner will be called with joiner(leftRecord.value, null)
IKTable-IKTable Equi-Join¶
IKTable-IKTable equi-joins are always non-windowed joins. They are designed to be consistent with their counterparts in relational databases. The changelog streams of both IKTables are materialized into local state stores to represent the latest snapshot of their table duals. The join result is a new IKTable that represents the changelog stream of the join operation.
Inner Join¶
(IKTable, IKTable) → IKTable
Performs an INNER JOIN of this table with another table. The result is an ever-updating KTable that represents the “current” result of the join.
Data must be co-partitioned: The input data for both sides must be co-partitioned.
var table1 = builder.Table<string, string>("topic2", InMemory<string, string>.As("table1-store"));
var table2 = builder.Table<string, string>("topic2", InMemory<string, string>.As("table2-store"));
var tableJoin = table1.Join(table2,(v1, v2) => $"{v1}-{v2}");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied value joiner will be called to produce join output records.
Input records with a null key are ignored and do not trigger the join.
Input records with a null value are interpreted as tombstones for the corresponding key, which indicate the deletion of the key from the table. Tombstones do not trigger the join. When an input tombstone is received, then an output tombstone is forwarded directly to the join result IKTable if required (i.e. only if the corresponding key actually exists already in the join result IKTable).
Left Join¶
(IKTable, IKTable) → IKTable
Performs a LEFT JOIN of this table with another table.
Data must be co-partitioned: The input data for both sides must be co-partitioned.
var table1 = builder.Table<string, string>("topic2", InMemory<string, string>.As("table1-store"));
var table2 = builder.Table<string, string>("topic2", InMemory<string, string>.As("table2-store"));
var tableJoin = table1.LeftJoin(table2,(v1, v2) => $"{v1}-{v2}");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied value joiner will be called to produce join output records.
Input records with a null key are ignored and do not trigger the join.
Input records with a null value are interpreted as tombstones for the corresponding key, which indicate the deletion of the key from the table. Tombstones do not trigger the join. When an input tombstone is received, then an output tombstone is forwarded directly to the join result IKTable if required (i.e. only if the corresponding key actually exists already in the join result IKTable).
For each input record on the left side that does not have any match on the right side, the ValueJoiner will be called with (leftRecord.value, null); this explains the row with timestamp=3 in the table below, which lists [A, null] in the LEFT JOIN column.
Outer Join¶
(IKTable, IKTable) → IKTable
Performs a OUTER JOIN of this table with another table.
Data must be co-partitioned: The input data for both sides must be co-partitioned.
var table1 = builder.Table<string, string>("topic2", InMemory<string, string>.As("table1-store"));
var table2 = builder.Table<string, string>("topic2", InMemory<string, string>.As("table2-store"));
var tableJoin = table1.OuterJoin(table2,(v1, v2) => $"{v1}-{v2}");
Detailed behavior:
The join is key-based, i.e. with the join predicate leftRecord.key == rightRecord.key.
The join will be triggered under the conditions listed below whenever new input is received. When it is triggered, the user-supplied ValueJoiner will be called to produce join output records.
Input records with a null key are ignored and do not trigger the join.
Input records with a null value are interpreted as tombstones for the corresponding key, which indicate the deletion of the key from the table. Tombstones do not trigger the join. When an input tombstone is received, then an output tombstone is forwarded directly to the join result IKTable if required (i.e. only if the corresponding key actually exists already in the join result IKTable).
For each input record on one side that does not have any match on the other side, the ValueJoiner will be called with (leftRecord.value, null) or (null, rightRecord.value), respectively; this explains the rows with timestamp=3 and timestamp=7 in the table below, which list [A, null] and [null, b], respectively, in the OUTER JOIN column.


Beowulf
by Francis Barton Gummere
Chapter 24
Additional Information
- Year Published: 1910
- Language: English
- Country of Origin: England
- Source: Gummere, F.B. (1910) Beowulf New York: P.F. Collier and Son
-
Readability:
- Flesch–Kincaid Level: 11.2
- Word Count: 763
- Genre: Epic
- Keywords: british literature
- ✎ Cite This
Downloads
BEOWULF spake, bairn of Ecgtheow:—
"Lo, now, this sea-booty, son of Healfdene,
Lord of Scyldings, we've lustily brought thee,
sign of glory; thou seest it here.
Not lightly did I with my life escape!
In war under water this work I essayed
with endless effort; and even so
my strength had been lost had the Lord not shielded me.
Not a whit could I with Hrunting do
in work of war, though the weapon is good;
yet a sword the Sovran of Men vouchsafed me
to spy on the wall there, in splendor hanging,
old, gigantic, — how oft He guides
the friendless wight! — and I fought with that brand,
felling in fight, since fate was with me,
the house's wardens. That war-sword then
all burned, bright blade, when the blood gushed o'er it,
battle-sweat hot; but the hilt I brought back
from my foes. So avenged I their fiendish deeds
death-fall of Danes, as was due and right.
And this is my hest, that in Heorot now
safe thou canst sleep with thy soldier band,
and every thane of all thy folk
both old and young; no evil fear,
Scyldings' lord, from that side again,
aught ill for thy earls, as erst thou must!"
Then the golden hilt, for that gray-haired leader,
hoary hero, in hand was laid,
giant-wrought, old. So owned and enjoyed it
after downfall of devils, the Danish lord,
wonder-smiths' work, since the world was rid
of that grim-souled fiend, the foe of God,
murder-marked, and his mother as well.
Now it passed into power of the people's king,
best of all that the oceans bound
who have scattered their gold o'er Scandia's isle.
Hrothgar spake — the hilt he viewed,
heirloom old, where was etched the rise
of that far-off fight when the floods o'erwhelmed,
raging waves, the race of giants
(fearful their fate!), a folk estranged
from God Eternal: whence guerdon due
in that waste of waters the Wielder paid them.
So on the guard of shining gold
in runic staves it was rightly said
for whom the serpent-traced sword was wrought,
best of blades, in bygone days,
and the hilt well wound. — The wise-one spake,
son of Healfdene; silent were all:—
"Lo, so may he say who sooth and right
follows 'mid folk, of far times mindful,
a land-warden old, [footnote 1] that this earl belongs
to the better breed! So, borne aloft,
thy fame must fly, O friend my Beowulf,
far and wide o'er folksteads many. Firmly thou shalt all maintain,
mighty strength with mood of wisdom. Love of mine will I assure thee,
as, awhile ago, I promised; thou shalt prove a stay in future,
in far-off years, to folk of thine,
to the heroes a help. Was not Heremod thus
to offspring of Ecgwela, Honor-Scyldings,
nor grew for their grace, but for grisly slaughter,
for doom of death to the Danishmen.
He slew, wrath-swollen, his shoulder-comrades,
companions at board! So he passed alone,
chieftain haughty, from human cheer.
Though him the Maker with might endowed,
delights of power, and uplifted high
above all men, yet blood-fierce his mind,
his breast-hoard, grew, no bracelets gave he
to Danes as was due; he endured all joyless
strain of struggle and stress of woe,
long feud with his folk. Here find thy lesson!
Of virtue advise thee! This verse I have said for thee,
wise from lapsed winters. Wondrous seems
how to sons of men Almighty God
in the strength of His spirit sendeth wisdom,
estate, high station: He swayeth all things.
Whiles He letteth right lustily fare
the heart of the hero of high-born race, —
in seat ancestral assigns him bliss,
his folk's sure fortress in fee to hold,
puts in his power great parts of the earth,
empire so ample, that end of it
this wanter-of-wisdom weeneth none.
So he waxes in wealth, nowise can harm him
illness or age; no evil cares
shadow his spirit; no sword-hate threatens
from ever an enemy: all the world
wends at his will, no worse he knoweth,
till all within him obstinate pride
waxes and wakes while the warden slumbers,
the spirit's sentry; sleep is too fast
which masters his might, and the murderer nears,
stealthily shooting the shafts from his bow!
Footnotes
1. That is, "whoever has as wide authority as I have and can remember so far back so many instances of heroism, may well say, as I say, that no better hero ever lived than Beowulf."


Photo by Nowshad Arefin on Unsplash
Casc-Aid is an operating model supported by a technology platform that enables hyperlocal, rapid response, logistics to citizens. Built by the team behind the Relief Riders, a network of 700 volunteers across 9 cities delivering essentials to people during the pandemic. Its a solution that has delivered essentials to more than 1000 people in just 20 days with an average turnaround time thats quicker than a commercial delivery partner. The platform enables request logging, tracking responses, back office operations and collaboration with other orgs using the map dashboard.
If you are an organisation delivering emergency response or accelerating sustainable development goals, join the partners we already have on board to collaborate and increase your reach. We can help you setup the command center and get you going in 30 mins.


Advanced Big Data Analytics, (Spring 2020, DATA130014.01)
General Information:
- Lectures: Thursday (6:30pm -- 9:05pm,
H6308 / H4504)
- Classroom:
- HGX506 (? 11-13
[1-2],[4-5],[7-8],[10-11],[13-14],16)
- H4501 (? 11-13
3,6,9,12,15)
-
Office hours: Thursday. 4:10-5:30pm (Xin jinbo building, 1506 )
-
Instructor: Yanwei Fu (yanweifu(AT) fudan (dot) edu
(dot)cn)
-
Teaching Assistants: Yu Xie ( email:<PHONE_NUMBER>9@163.com);
Grading:
(1)
Class attendance (10%), includes class performance, class discussion and
critical thinking.
Each
absent: -1%
(2)
Project 30%.
(3)
Final Exam: 60%.
Course Requirements:
This course requires some basic knowledge and skills about
coding. This will be a hands-on course. Students need to know at
least one or more programming languages: C++, Java, or Python to finish
task and projects.
Description
Rapid development of mobile devices has led to an explosive growth of
user-generated data, which creates a demand for computational
understanding. The Big Data Analytics area evolves in a speed that was
seldom seen in the history. New Software and Hardware tools are emerging
and disruptive. Furthermore, its boundary with Artificial Intelligence
becomes blurring.
This course shall provide the fundamental knowledge to equip students
being able to handle those challenges. This discipline inherently involves
many fields. Because of its importance and broad impact. A data scientist
needs to keep up with this ever changing trends to be able to create a
state-of-the-art solution for real-world AI challenges.
In this Advanced Big Data Analytics course, we target to have the best of
both world. Our students should not only be very familiar with the basic
tools/commands in Linux, operation system, and Spark, but also encourage
to explore something new -- "How far could we achieve to built a system
that makes the best of the Big Data?", or even "how machines could
possibly achieve what are unique to the human beings?".


Robert Carlyle plays down Begbie Trainspotting spin-off film
The actor first appeared as the hardman in the 1996 film and returned for 2017 sequel T2 Trainspotting.
by John Dingwall, https://www.dailyrecord.co.uk/authors/john-dingwall/Robert Carlyle has dashed hopes of a Trainspotting spin-off film based on his character Begbie.
The actor first appeared as the hardman in the 1996 film and returned for 2017 sequel T2 Trainspotting.
Both films were directed by Danny Boyle – and Carlyle said any plans for a third film based on Irvine Welsh’s novel The Blade Artist are likely to remain “on the back shelf” without Boyle’s involvement.
In the 2016 book, Begbie returns to Scotland from a life in California for the funeral of his murdered son.
Carlyle, 58, told a Sunday newspaper: “As far as I know from talking to Danny, he sees another Trainspotting film as being the four main characters.
“I know Irvine is very interested… I’d be happy to talk about it, but it would have to be with Danny.”


In principle, input and output operators behave symmetrically. There is only one important difference: for output you control the precise format of the inserted character sequence, while for input the format of an extracted character sequence is never exactly described. This is for practical reasons. You may want to extract the next floating point value from a stream, for example, without necessarily knowing its exact format. You want it whether it is signed or not, or in exponential notation with a small or capital E for the exponent, etc. Hence, extractors in general accept an item in any format permitted for its type.
Formatted input is handled as follows:
Unless explicitly specified otherwise, extractors automatically ignore all white space characters (blanks, tabulators, newlines) that precede the item to be extracted. [The classification of a character as white space depends on the character set used. The extractor takes the information from the locale's ctype facet.]
When the first relevant character is found, they extract characters from the input stream until they find a separator; that is, a character that does not belong to the item. White space characters in particular are separators.
The separator remains in the input stream and becomes the first character extracted in a subsequent extraction.
Several format parameters, which control insertion, are irrelevant for extraction. The format parameter fill character, returned by std::ios::fill(), and the adjustment flags, std::ios_base::left, std::ios_base::right, and std::ios_base::internal, have no effect on extraction. The field width is relevant only for extraction of strings, and ignored otherwise.
You can use the manipulator std::noskipws to switch off the automatic skipping of white space characters. For example, extracting white space characters may be necessary if you expect the input has a certain format, and you need to check for violations of the format requirements. This procedure is shown in the following code:
std::cin >> std::noskipws; char c; do { float fl; std::cin >> fl >> c; // extract number and separator if (c == ',' || c == '\n') // next char is ',' or newline ? process(fl); // yes: use the number } while (std::cin && c == ','); // check whether stream is good if (c != '\n') error(); // no: error!
If you must skip a sequence of characters other than white spaces, you can use the function std::istream::ignore(). The call:
basic_ifstream<myChar,myTraits> InputStream("file-name"); InputStream.ignore(std::numeric_limits<streamsize>::max(), myChar('\n'));
or, for ordinary narrow characters of type char:
std::ifstream InputStream("file-name"); InputStream.ignore(std::numeric_limits<streamsize>::max(),'\n');
ignores all characters until the end of the line. This example uses a stream object of type std::basic_ifstream<myChar, myTraits> that is not predefined by the library. File streams are described in Section <IP_ADDRESS>.
When you extract strings or character arrays from an input stream, strm, characters are read until:
A white space character is found
The end of the input is reached
A certain number of characters is extracted, if strm.width() != 0; . In the case of a string, this number is the field width strm.width(). In the case of a character array, this number is strm.width()-1. The last position is reserved for the terminating NUL character.
Note that the field width is reset to 0 after the extraction of a string.
There are subtle differences between extracting a character sequence into a character array and extracting it into a string object. For example:
char buf[SZ]; std::cin >> buf;
is different from
std::string s; std::cin >> s;
Extraction into a string is safe, because strings automatically extend their capacity as necessary. You can extract as many characters as you want since the string always adjusts its size accordingly. Character arrays, on the other hand, have fixed size and cannot dynamically extend their capacity. If you extract more characters than the character array can take, the extractor writes beyond the end of the array. To prevent this, you must set the field width as follows each time you extract characters into a character array:
char buf[SZ]; std::cin >> std::width(SZ) >> buf;


This is becoming a larger target as applications become more hardened through frameworks or other mitigations.
Abusing Password Recovery Flows
Password recovery flows can often be abused to leak data about accounts that would otherwise be secret. Although usernames on many websites are public knowledge, many sites such as online banks do not reveal a username except to the owner of that account.
Some password recovery flows perform the following steps:
- Ask user for username/email
- Message the user that a mail has been sent to their account
- Send user a link allowing them to change their password
In these types of recovery flows there can be information leakage in step-2 by confirming that the user entered a valid email address and/or account name. This can be avoided by having generic messaging on this flow or requiring more specific information about the account before sending a reset email.


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Indonesian ministries ban pregnant, LGBT job seekers: Ombudsman
JAKARTA: Several Indonesian ministries are banning pregnant, disabled, or LGBT job hunters in favour of what one called "normal" applicants, the Ombudsman said Friday (Nov 22).
The report comes as the world's biggest Muslim majority country takes applications from millions of candidates who are applying for some 200,000 civil-service jobs nationwide.

READ: It's not only about sex: Indonesia's divisive criminal Bill
On Friday, Ombudsman Indonesia commissioner Ninik Rahayu said an investigation found that the defence and trade ministries as well as the Attorney General's Office (AGO) were discriminating against candidates in their job advertisements.
"The Defense Ministry prohibits pregnant women from applying for a job, while the AGO and the trade ministry ban transgender people," Ninik told AFP.
"(The AGO) even made a hurtful statement that said 'we only accept normal people'," she added.
"Banning people from applying for a job simply because they are transgender is not acceptable and is a violation of human rights," she added.
The Ombudsman called on the ministries to revoke their hiring policies but only the trade ministry has so far complied, Ninik said, adding her office first noticed the discrimination this year.

On the AGO's website, it said job applicants must not be colour blind, physically or "mentally disabled" including those who have "sexual orientation disorders (transgender) or LGBT".
The restrictions amounted to a "hate-based policy", said Usman Hamid, executive director of Amnesty International Indonesia.
"Indonesia should be trying to recruit the best and brightest to its civil service, not applying arbitrary and hateful restrictions," he said, calling on the respective ministries to ditch the rules.
"This is against both Indonesia's constitution and its obligations under international human rights law," he added.


The following map link will be sent to our support team.
You can also use the Drawing Tools to annotate the map send to the support team.


This inspection warns if identifier requires lambda access. E.g. 'input', 'output', 'wildcards' cannot be accessed
directly in 'params' section. In such case user should use lambda syntax, e.g. basename = lambda wildcards, input, output, threads, resources: input.bam.replace(".bam", "")
.


StormLib API Reference
SFileReadFile
Description
bool WINAPI SFileReadFile(
HANDLE hFile, // File handle
VOID * lpBuffer, // Pointer to buffer where to read the data
DWORD dwToRead, // Number of bytes to read
DWORD * pdwRead, // Pointer to variable that receivs number of bytes read
LPOVERLAPPED lpOverlapped // Pointer to OVERLAPPED structure
);
Function SFileReadFile reads data from an open file.
Parameters
- hFile
- [in] Handle to an open file. The file handle must have been created by SFileOpenFileEx.
- lpBuffer
- [out] Pointer to buffer that will receive loaded data. The buffer size must be greater or equal to dwToRead.
- dwToRead
- [in] Number of bytes to be read.
- pdwRead
- [out] Pointer to DWORD that will receive number of bytes read.
- lpOverlapped
- [in] If hFile is handle to a local disk file, lpOverlapped is passed to ReadFile. Otherwise not used.
Return Value
- When all requested bytes have been read, the function returns true.
- When less than requested bytes have been read, the function returns false and GetLastError returns ERROR_HANDLE_EOF.
- If an error occured, the function returns false and GetLastError returns an error code different from ERROR_HANDLE_EOF.
Remarks
This function behaves a bit differently than Win32 API ReadFile in case that not all bytes
are available in the file. Users of SFileReadFile must be aware of that.
Availability in Storm.dll
| Available in Storm.dll |
Yes |
| Ordinal number in Storm.dll 1.00 |
80 (0x050) |
| Ordinal number in Storm.dll 1.09 |
269 (0x10D) |
Copyright (c) Ladislav Zezula 2003 - 2010


Here you can request a new git repository. To request the main repository, $project.git, simply leave the sub-repo field blank. MAKE SURE THE NOTIFICATION LIST AND REPO NAME ARE BOTH CORRECT!. Incubator podling repos should be named as incubator-$podling[-$subname].git See https://reference.apache.org/pmc/github for details on GitHub integration, which is enabled by default.
NOTE: This form is for the legacy git-wip service. New podlings should NOT use this form for repositories. Please refer to the GitBox service instead.


Legend: Up = Volume Up, Down = Volume Down, Right = Fast Forward, Left = Rewind, Space = Play/Pause, Esc = Stop, Shift = Resize, Enter = Full Screen, Ctrl = Mute, < = Previous Item, > = Next Item


{% extends 'maps/base.html' %} {% load staticfiles %} {% block body %}
It is well documented that health measures tend to be highly correlated – whether through causal mechanisms (e.g. preterm births and low birth weight) or confounding variables (smoking elevates the risk of both stroke and lung cancer). Likewise, health has a strong societal component: individuals in economically disadvantaged areas often lack access to health services and report overall poorer health behaviors and outcomes.
The goal of Healthy Neighborhoods, then, is a more careful examination of these relationship between health and socioeconomic indicators in the city of Chicago.
To begin this analysis, we pulled 27 public health variables from the City of Chicago’s open data portal for each of the city’s 77 community areas. We divide each variable’s range into thirds, and, for every user-entered variable pair, construct a color relationship matrix (see below).
Areas for which data is missing on one or both variables appear as gray. In this way, each neighborhood is classified in the two-dimensional space of either selected variable’s range. From these rankings, we construct a scatter plot and geographic heat map.
Looking at these visuals, a user can identify correlations between health and socioeconomic indicators. Moreover, by mapping the interactions of two variables, user can look for areas of concentrated disadvantage in the city, as well as neighborhoods that exhibit anomalous interactions. These relationships form a foundation from which a narrative of public health opportunities and outcomes can be built.


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Nyzo Micropay for Android version 1 (commit on GitHub) introduces the Micropay app with payment functionality.
This is a new code base that borrows heavily from the Nyzo Java verifier source. Where appropriate, equivalent classes in this and the Nyzo verifier source will be kept as similar as possible.
Prior to this version, only resource files (mostly icons), build files, and Git ignore files were committed to the repository. This is the first commit that contains Java source code.
If you are unfamiliar with Android development, this project is likely not a good introduction to the topic. It is unorthodox in its treatment of the view hierarchy and its avoidance of XML files in favor of Java source. If you are familiar with Android development, we hope this provides an amusing new perspective to you.
The manifest is a typical Android manifest file. This is where the version is specified. The nyzo://micropay URL scheme is specified, and this is how requests for payment are passed to the Micropay app. The the Micropay image example page already contains a usage of this URL scheme.
The AppearanceUtil class contains some colors and a method to assist in interface rendering.
The ApplicationConfiguration class is used to encapsulate, store, and retrieve the private key, base tip, and maximum Micropay amount required to use the app.
All three fields are stored as strings to allow them to be consistently presented in the manner that the user prefers. Accessors to these string values are provided, as are accessors to the respective values converted to the required data types.
Separate methods are provided for validating each of the fields, and a combined method validates all three fields to determine whether the overall application configuration is valid.
One method is provided to load the application configuration from SharedPreferences, and another method is provided to persist the configuration to SharedPreferences.
The Icon class encapsulates a Path, Paint, and a "fillRatio" for rendering an icon. The "fillRatio" is a scaling factor, with smaller values scaling the icon to fill less of the interface element in which it is rendered.
A method is provided to make an icon for the Settings button, and a method builds a Path for that icon. This path is a gear with seven teeth.
The Paint for the Settings icon specifies a narrow gray stroke with a round join.
The Cancel and Close icons share a path in the shape of an "X." The Cancel icon specifies a red Paint, and the Close icon specifies a gray Paint.
The Confirm icon is a green check mark. The sin() and cos() helper methods call their respective methods in the Math class and cast their results to float.
The InterfaceState enumeration structures the three main states of the app: WaitingForInput, SendingTransaction, and SentTransaction. While the user has the app open, the state will almost always be WaitingForInput.
The MainActivity is the app entry point, specified in AndroidManifest.xml. A static reference to the newest instance of MainActivity is stored for convenience.
Lists of messages, warnings, and errors, along with a boolean variable to store success or failure, are kept to represent the result of sending a transaction.
The micropayConfiguration and settingsViewVisible are stored in static, not instance, variables. This allows them to exist for the duration of the app, even if a new instance of the activity is created. A new activity is created each time the screen is rotated, so this is necessary for an acceptable user experience.
The MainActivity.onCreate() method creates the mainView, sets listeners for its buttons, initializes state variables, and performs an initial interface configuration.
The MainActivity.configureWithIntent() method extracts the micropayConfiguration (from the nyzo://micropay URL) from the Intent and configures the mainView.
The MainActivity.sendTransaction() method starts a new thread to send a transaction. The MainActivity.sendTransactionThread() method sends a transaction, if necessary, creates a supplemental transaction, and redirects back to the page with both the transaction and the supplemental transaction.
All transactions are stored so they can be re-sent without sending a new transaction and paying for content again. The MainActivity.clearTransaction() method clears an existing transaction so a new transaction can be created. This is helpful if an existing transaction is not working properly for authorizing content.
The MainActivity.retry() method resets the interface after failure.
The MainActivity.createTransactionAndSendToClient() method creates a transaction for the amount specified in a Micropay configuration, sends it to the client specified in the configuration, and stores the response.
After ensuring that appropriate feedback is available, the MainActivity.createTransactionAndSendToClient() method dispatches an update to the user-interface thread to present the results to the user.
The MainActivity.existingTransaction() method retrieves a stored transaction from the app's SharedPreferences.
The MainActivity.parseMicropayConfiguration() method extracts a MicropayConfiguration from a Micropay URL. The MainActivity.mapForString() method returns URL query string key/value pairs as a Map.
An accessor and mutator are provided for visibility of the settingsView. A static convenience method hides the soft keyboard, and another convenience method provides a reference to the app's SharedPreferences.
A helper method creates a new µ0 supplemental transaction that parallels a provided transaction.
The MainView encapsulates the PaymentView and the SettingsView. It provides passthrough OnClickListeners to bridge from the PaymentView to the MainActivity.
In the MainView constructor, the paymentView and settingsView are created. Appropriate OnClickListeners are set.
The MainView.onLayout() method places both the paymentView and settingsView full-size within the MainView. A translation along the y axis controls whether the settingsView is visible or is off screen.
Mutators store OnClickListeners. The MainView.showSettingsView() and MainView.hideSettingsView() methods animate the settingsView on and off the screen.
The MainView.configure() method passes through to the PaymentView.configure() method.
The MapUtil class, as the comment explains, is used to overcome a deficiency in the Android Java libraries prior to API level 24.
The MicropayConfiguration class encapsulates all the information necessary for making a Nyzo Micropay payment. The callbackUrl field is new to this embodiment of Micropay; it was not necessary for the browser plugin.
Accessors are provided for all fields, and a method performs a basic validity check. The MicropayConfiguration.uniqueReferenceKey() method provides a unique key for storing transactions for reuse. The MicropayConfiguration.fromMap() method creates a MicropayConfiguration object from a Map containing key/value pairs for all fields.
The parseAmount() helper method parses a decmial value in nyzos to a long micronyzo value.
The PaymentView class provides the main interface of the app. All necessary state is stored in member variables, and the interface configures itself based on this state.
The PaymentView constructor makes all of the buttons for the view, sets the OnClickListeners and an initial interface state, and performs an initial configuration.
The parameterized PaymentView.configure() overload stores the arguments as internal state and calls the no-argument overload of the method.
The no-argument PaymentView.configure() overload presents a message to the user based on the current state. It also presents the appropriate buttons for the user to act upon that state.
In the PaymentView.configure() method, a SpannableStringBuilder is used to style spans of text.
Unused buttons are set to View.INVISIBLE. Both invalidate() (requesting a redraw) and updateLayout() are called at the end of the method, posted to the queue for the UI thread.
The PaymentView.span() convenience method creates a SpannableString with a StyleSpan with the specified style. The PaymentView.cleanDisplayName() method attempts to remove potentially misleading elements from the name that is presented for a potential payment, also trimming the name to a reasonable length. The PaymentView.onSizeChanged() method updates the text size of the label, and the PaymentView.onLayout() method updates the layout.
The PaymentView.updateLayout() method arranges the child views of the payment view. Instead of using LayoutManagers, all interfaces in this app extend ViewGroup and perform layouts procedurally. This is an unconventional approach in Android development.
Mutators are provided for all OnClickListeners.
When buttons are activated, the corresponding OnClickListeners are called.
The RoundRectButton class provides a button with a rounded border, an icon, and a text label.
The RoundRectButton constructor creates Paint objects for the border, fill, and text label. It also sets the listener for touch events.
A custom onTouch() is implemented so that the button can be darkened when pressed. In order to continue receiving events after the initial touch, the touch must be consumed. When the touch is consumed, responsibility for activating a click is assumed. The method calls the callOnClick() method to fulfill this responsibility.
The RoundRectButton.performClick() method was implemented for logging during testing. This implementation will be removed in a later version. The RoundRectButton.setSelected() method stores the selection state and requests a redraw of the button.
The RoundRectButton.draw() method draws the custom button. A background, rounded border, label (optional), and icon (also optional) are drawn to appropriate scale.
Mutators are provided for the icon and label. A convenience method provides a scaled version of the icon path to fit the button.
The SettingsView interface allows the user to specify the private key, base tip amount, and maximum Micropay amount. The privateKeyEditTextPaint is used as a reference to assist in scaling the private key text field to ensure it fits in the available space.
The SettingsView constructor creates all the user interface elements and the privateKeyEditTextPaint.
The SettingsView constructor continues with user interface elements for the notices and the close button.
The SettingsView.onSizeChanged() method updates font sizes and field padding. It also invokes updateTextFieldProperties(), which sets the x scaling of the private key edit text.
SettingsView.onLayout() arranges the subviews of the SettingsView.
The notices are positioned at the bottom of the view, and updateTextFieldProperties() is invoked to ensure the private key is scaled properly for the new field size.
A mutator is provided for the closeButtonOnClickListener. When the close button is clicked, focus is removed from all text fields, the keyboard is hidden, and the closeButtonOnClickListener.onClick() method is invoked.
The SettingsView.beforeTextChanged() and SettingsView.onTextChanged() methods are required by the TextWatcher interface but not needed by this class. The SettingsView.afterTextChanged() method saves the field values and updates the text field properties, which sets both the x scaling of the private key field and updates the field colors to provide feedback about configuration validity.
The SettingsView.updateTextFieldProperties() method sets the background color of the edit texts: red for invalid and green for valid. It also sets the x scale of the private key edit text to ensure that the entire key is visible in the field.
The FieldByteSize class is identical to the corresponding class in the verifier source, version 606.
The Message class borrows a single static method, getByteArray() from the verifier source.
The MessageObject interface is identical to the corresponding class in the verifier source, version 606.
The SignatureState enumeration is identical to the corresponding class in the verifier source, version 606.
The Transaction class borrows heavily from the corresponding class in the verifier source. Some unused constants have been removed, and the GenesisBlockHash was added.
The Transaction private instance fields and identifierComparator are identical to those found in the verifier's version of the class.
The Transaction accessors are identical to those found in the verifier's version of the class. Some methods for handling cycle signature transactions were removed.
The Transaction.assignPreviousBlockHash() method was changed to always use the genesisBlockHash, as explained in the comment.
The Transaction.coinGenerationTransaction() method is identical to the corresponding method in the verifier's version of the class.
The Transaction.seedTransaction() methods are identical to the corresponding methods in the verifier's version of the class.
The Transaction.standardTransaction() methods are identical to the corresponding methods in the verifier's version of the class.
The first two overloads of Transaction.cycleTransaction() are identical to the corresponding methods in the verifier's version of the class.
The third overload of Transaction.cycleTransaction() is identical to the corresponding method in the verifier's version of the class, with the exception of the line assigning the previousBlockHash. This is now assigned the genesisBlockHash.
The final two overloads of Transaction.cycleTransaction() are identical to the corresponding methods in the verifier's version of the class.
The Transaction.getFee() and Transaction.getByteSize() overload with no arguments are identical to the corresponding methods in the verifier's version of the class.
The primary Transaction.getByteSize() overload is also identical to the corresponding method in the verifier's version of the class.
The Transaction.getBytes() methods are identical to the corresponding methods in the verifier's version of the class, with the minor exception of the sorting at lines 431 and 440. These calls were changed due to a deficiency in the Android library.
The Transaction.fromByteBuffer() methods are also the same as the equivalent methods in the verifier source, with the exception of the assignment of previousBlockHash at line 483. As is explained in the comments, the app currently supports only transactions referenced to the Genesis block.
Several methods from the end of the Nyzo verifier source file have been omitted from the Android version of the class. These will be added in future versions if needed.
The Json class is largely identical to the class in the verifier source, with the exception of maximumJsonStringLength at line 12 and some added methods. In the verifier, the maximumJsonStringLength field is private and final. It was changed for flexibility in testing, and it will be aligned with the verifier in a future version.
This section of the Json class is unchanged from the verifier source.
This section of the Json class is unchanged from the verifier source.
This section of the Json class is unchanged from the verifier source.
This section of the Json class is unchanged from the verifier source.
This section of the Json class is unchanged from the verifier source.
The Json.traverse() method, a new method in the Android version of the class, is used as shorthand to extract an object from a JSON hierarchy. The Json.traverseGetArray() method returns the result as a JsonArray, and the Json.traverseGetObject() method returns the result as a JsonObject.
The JsonArray class is unchanged from the verifier version.
The JsonObject class begins exactly the same as the verifier version.
The JsonObject class concludes with three new methods: getInteger(), getLong(), and getStringList(). These methods will be added to a future version of the verifier.
The NyzoString interface is identical to the verifier version.
The beginning of the NyzoStringEncoder class is identical to the verifier version.
In NyzoStringEncoder.encode(), at line 49, fast iteration is used. The verifier version of this method iterates with an index. The verifier will also be updated with this change.
In NyzoStringEncoder.decode(), at line 73, a different replacement for lowercase "L" (l) is used. Instead of a numerical "1" substitution, uppercase "i" (I) is used, as this is a more common mistake with most fonts. In these notes, the sans-serif font used by most browsers will likely illustrate this well.
Building of the result object at the end of NyzoStringEncoder.decode() is identical between the Android and verifier versions.
In NyzoStringEncoder.byteArrayForEncodedString(), at lines 143 and 144, MapUtil.getOrDefault() is used because Map.getOrDefault() is unavailable on some versions of Android that the app currently supports.
NyzoStringEncoder.encodedStringForByteArray() is identical between the Android and verifier versions.
The NyzoStringMicropay class is unchanged from the verifier version.
Continued: the NyzoStringMicropay class is unchanged from the verifier version.
Continued: the NyzoStringMicropay class is unchanged from the verifier version.
The NyzoStringPrefilledData class is unchanged from the verifier version.
The NyzoStringPrivateSeed class is unchanged from the verifier version.
The NyzoStringPublicIdentifier class is unchanged from the verifier version.
The NyzoStringSignature class is unchanged from the verifier version.
The NyzoStringTransaction class is unchanged from the verifier version.
The NyzoStringType enumeration is unchanged from the verifier version.
The ByteUtil class is a trimmed-down form of the verifier version. The toArray(), dataSegment(), signatureSegment(), arrayAsStringNoDashes() overload that accepts a long argument, and arrayAsStringWithDashesExtraWrap() methods were omitted from the Android version.
Continued: the ByteUtil class is a trimmed-down form of the verifier version.
Continued: the ByteUtil class is a trimmed-down form of the verifier version.
The HashUtil class is almost identical to the verifier version, omitting only the main() method test script.
Continued: the HashUtil class is almost identical to the verifier version, omitting only the main() method test script.
Continued: the HashUtil class is almost identical to the verifier version, omitting only the main() method test script.
The KeyUtil class is a trimmed down form of the verifier version, omitting the main() method test script and the generateSeed() method.
Continued: the KeyUtil class is a trimmed down form of the verifier version, omitting the main() method test script and the generateSeed() method.
Continued: the KeyUtil class is a trimmed down form of the verifier version, omitting the main() method test script and the generateSeed() method.
Continued: the KeyUtil class is a trimmed down form of the verifier version, omitting the main() method test script and the generateSeed() method.
The NetworkUtil class is identical to the verifier version.
The PrintUtil class is a significantly trimmed down form of the verifier version, containing only the printAmount() and compactPrintByteArray() methods.
The SignatureUtil class is identical to the verifier version.
Continued: the SignatureUtil class is identical to the verifier version.
Continued: the SignatureUtil class is identical to the verifier version.
The WebUtil class is a trimmed down form of the verifier version, containing only the applyPercentEncoding() and removePercentEncoding() methods, along with support for those methods.
As in some other classes, the MapUtil.getOrDefault() method is used in place of the Map.getOrDefault() method. This occurs at line 42 in WebUtil.applyPercentEncoding() and line 64 in WebUtil.removePercentEncoding.


{% extends "layout_bsa.html" %} {% block page_title %} Prepay for NHS prescriptions {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Prepay for NHS prescriptions What date each month do you want your payments taken? You can start collecting prescriptions from 01 April 2017 Start dateh Cancel {% endblock %}
Prepay for NHS prescriptions
You can start collecting prescriptions from 01 April 2017
Cancel


---
title: merge
sidebar: function_reference_sidebar
permalink: grain2d.merge.html
folder: function_reference
toc: false
---
merge grains along special grain boundaries
Whenever two grains share a grain boundary that is in the list gB
both grains are merged and the common grain boundary is removed. All the properties of the unmerged grains are removed in the merged grains, since there is no common convention for a mean. In case of merging allong small angle grain boundaries one can force MTEX to compute a new meanOrientation using the option calcMeanOrientation
.
Syntax
{% highlight matlab %}
[grainsMerged,parentId] = merge(grains,gB)
{% endhighlight %}
{% highlight matlab %}
% compute new meanOrientations for the grains
[grainsMerged,parentId] = merge(grains,gB,'calcMeanOrientation')
{% endhighlight %}
{% highlight matlab %}
[grainsMerged,parentId] = merge(grains,M)
{% endhighlight %}
{% highlight matlab %}
[grainsMerged,parentId] = merge(grains,tpList)
{% endhighlight %}
{% highlight matlab %}
% merge by a list of pairs of grainIds
[grainsMerged,parentId] = merge(grains,gid)
{% endhighlight %}
{% highlight matlab %}
% merge grains with small misorientation angle
[grainsMerged,parentId] = merge(grains,'threshold',delta)
{% endhighlight %}
{% highlight matlab %}
% merge all inclusions with a maximum pixel size
[grainsMerged,parentId] = merge(grains,'inclusions','maxSize',5)
{% endhighlight %}
Input
Output
|
grainsMerged
|
grain2d
|
|
parentId
|
a list of the same size as grains containing the ids of the merged grains
|
Options
|
threshold
|
maximum misorientation angle to be merged as similar
|
|
maxSize
|
maximum number of pixels to be merged as an inclusion
|
Example
{% highlight matlab %}
mtexdata small
grains = smooth(calcGrains(ebsd))
{% endhighlight %}
{% highlight plaintext %}
saving data to /home/hielscher/mtex/master/data/small.mat
ebsd = EBSD
Phase Orientations Mineral Color Symmetry Crystal reference frame
0 1197 (32%) notIndexed
1 1952 (52%) Forsterite LightSkyBlue mmm
2 290 (7.8%) Enstatite DarkSeaGreen mmm
3 282 (7.6%) Diopside Goldenrod 12/m1 X||a*, Y||b*, Z||c
Properties: bands, bc, bs, error, mad, x, y
Scan unit : um
grains = grain2d
Phase Grains Pixels Mineral Symmetry Crystal reference frame
0 292 1197 notIndexed
1 50 1952 Forsterite mmm
2 61 290 Enstatite mmm
3 62 282 Diopside 12/m1 X||a*, Y||b*, Z||c
boundary segments: 2775 (123934 µm)
inner boundary segments: 0 (0 µm)
triple points: 187
Properties: meanRotation, GOS
{% endhighlight %}


When I was 7 years old, I had a neighbors who palyed all kinds of music, from salsa to boleros. There was a song that they repeated many times in a day called "El deber" by Pedro Arroyo. At that moment, I dindn't pay much attention to that song but it remained in my subconscious.
During my adolescence, I always had that song in my mind but I did not know what was its name. Occasionally, I listen to the song in some bars but I was always busy to go and ask the name of the song.
One day, while walking through my neighborhood with a friend, I hear a neighbor play that song and immediately I went to him and asked the name, he told and gave me information about the album and other songs related to the author.
Pedro Arroyo is a Puerto Rican singer in the genre of salsa. He began his musical career in 1981, time in which he formed his own orchestra called "La Nueva" and later became part of the Guayacan Orchestra.
When I was child, besides watching cartoons I liked to watching MTV. At that time, Gorillaz released a new song called "clint Eastwood". MTV used to repeat the song many times a day, and every time they put it on TV I listened to it because I liked the rhythm.
Gorillaz was a group that had been born in 1998 but until 2001 they had not had good song releases, in addition, the pop boom did not allow other rhythms to emerge, however, this new song was quickly introduced to the music market.
Gorillaz is a British group created in 1998 by Damon Albarn and Jamie Hewlett. It is a virtual alternative rock band consisting of four fictional cartoon characters that are: 2-D, Noodle, Murdoc Niccals and Russel Hobbs. Most of their songs are accompanied by animated music videos, in 3D and 2D.
When I was 12 years old, I started to like electronic music. I remember that I started listening to DJs like Gigi D'Agostino, Tiesto, Mauro Picotto, among others. I liked watching them when played in concerts and people applauded and danced to the rhythm of the mixes.
Although the djs of the time began to release songs focused on electro house, I was fascinated with the first rhythms such as techno, trance and hardcore. These rhythms were still famous at that time and I remember that there was a song that had been very famous called "Kernkraft 400" by Zombie Nation. Listening to this song motivated me to be a dj, to play songs where people danced to the rhythm of the beats.
When I was 18 years old, I started playing salsa, merengue and vailable rhythms in Cali's night clubs because. I realized that the music scene of Cali had no place for other genres until a friend told me about an event called Convulxion, where djs played underground electronic picking up rhythms from the 80's and 90's
I also started to know djs that taught me about other less conventional rhythms such as psychotrance, future house and videogame sounds that had now become in electronic music.
310 446 5101


Today is my birthday.And I am so excited.Honestly, I am happy. Much more, I am grateful. Grateful for another year...
So yesterday was my birthday. Oh Boy! I had a lot of fun. And I had a barrage of calls from friends and loved ones. I felt so loved. It feels like everyday should be my birthday...lol...
Well, first Work. Work has been so intense as of late. I need to get better at managing deadlines. Asides work, I realise I need to make out time to rest well.


Syntax:
locally declaration* form* => result*
Arguments and Values:
Declaration---a declare expression; not evaluated.
forms---an implicit progn.
results---the values of the forms.
Description:
Sequentially evaluates a body of forms in a lexical environment where the given declarations have effect.
Examples:
(defun sample-function (y) ;this y is regarded as special (declare (special y)) (let ((y t)) ;this y is regarded as lexical (list y (locally (declare (special y)) ;; this next y is regarded as special y)))) => SAMPLE-FUNCTION (sample-function nil) => (T NIL) (setq x '(1 2 3) y '(4 . 5)) => (4 . 5) ;;; The following declarations are not notably useful in specific. ;;; They just offer a sample of valid declaration syntax using LOCALLY. (locally (declare (inline floor) (notinline car cdr)) (declare (optimize space)) (floor (car x) (cdr y))) => 0, 1
;;; This example shows a definition of a function that has a particular set ;;; of OPTIMIZE settings made locally to that definition. (locally (declare (optimize (safety 3) (space 3) (speed 0))) (defun frob (w x y &optional (z (foo x y))) (mumble x y z w))) => FROB ;;; This is like the previous example, except that the optimize settings ;;; remain in effect for subsequent definitions in the same compilation unit. (declaim (optimize (safety 3) (space 3) (speed 0))) (defun frob (w x y &optional (z (foo x y))) (mumble x y z w)) => FROB
Side Effects: None.
Affected By: None.
Exceptional Situations: None.
See Also:
Notes:
The special declaration may be used with locally to affect references to, rather than bindings of, variables.
If a locally form is a top level form, the body forms are also processed as top level forms. See Section 3.2.3 (File Compilation).


Dear Father Christmas...
2015 has been awesome…
I hope this letter finds you well and that the weather is good where you are.
It is snowing here but my festive jumper and ceremonial robes help me ignore that.
The farmer plays music in the cow shed next door, and he's streaming Jona Lewie and The Pogues, so Christmas is definitely here, and so here is my list...
I would (please) like...
- Sugar Lumps
- Some Hay
- A William Blake poster for my crib.
- Packet of Golden Virginia
- A monocle
Yours sincerely
G G Horse PhD
P.S. Yes, I graduated at last: an actual PhD. My thesis is now on the New York Times bestseller list and the global meme shortage has been solved.
P.P.S Press S for added weather.


Smart Mobile Media Computing Laboratory (SMMC)
스마트 모바일 미디어 컴퓨팅 연구실
Dept. Electronics and Computer Engineering
Chonnam National University
(
English
)
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