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rss_14 passes integration
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@@ -146,6 +146,78 @@ pub trait OneDReader: Reader {
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return Err(Exceptions::NotFoundException("".to_owned()));
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}
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/**
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* <p>Attempts to decode a one-dimensional barcode format given a single row of
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* an image.</p>
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*
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* @param rowNumber row number from top of the row
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* @param row the black/white pixel data of the row
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* @param hints decode hints
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* @return {@link RXingResult} containing encoded string and start/end of barcode
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* @throws NotFoundException if no potential barcode is found
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* @throws ChecksumException if a potential barcode is found but does not pass its checksum
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* @throws FormatException if a potential barcode is found but format is invalid
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*/
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fn decodeRow(
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&mut self,
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rowNumber: u32,
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row: &BitArray,
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hints: &DecodingHintDictionary,
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) -> Result<RXingResult, Exceptions>;
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}
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/**
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* Determines how closely a set of observed counts of runs of black/white values matches a given
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* target pattern. This is reported as the ratio of the total variance from the expected pattern
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* proportions across all pattern elements, to the length of the pattern.
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*
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* @param counters observed counters
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* @param pattern expected pattern
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* @param maxIndividualVariance The most any counter can differ before we give up
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* @return ratio of total variance between counters and pattern compared to total pattern size
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*/
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pub fn patternMatchVariance(
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counters: &[u32],
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pattern: &[u32],
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maxIndividualVariance: f32,
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) -> f32 {
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let mut maxIndividualVariance = maxIndividualVariance;
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let numCounters = counters.len();
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let mut total = 0.0;
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let mut patternLength = 0;
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for i in 0..numCounters {
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// for (int i = 0; i < numCounters; i++) {
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total += counters[i] as f32;
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patternLength += pattern[i];
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}
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if total < patternLength as f32 {
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// If we don't even have one pixel per unit of bar width, assume this is too small
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// to reliably match, so fail:
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return f32::INFINITY;
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}
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let unitBarWidth = total / patternLength as f32;
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maxIndividualVariance *= unitBarWidth as f32;
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let mut totalVariance = 0.0;
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for x in 0..numCounters {
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// for (int x = 0; x < numCounters; x++) {
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let counter = counters[x];
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let scaledPattern = (pattern[x] as f32) * unitBarWidth;
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let variance = if (counter as f32) > scaledPattern {
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counter as f32 - scaledPattern
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} else {
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scaledPattern - counter as f32
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};
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if variance > maxIndividualVariance {
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return f32::INFINITY;
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}
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totalVariance += variance;
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}
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return totalVariance / total;
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}
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/**
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* Records the size of successive runs of white and black pixels in a row, starting at a given point.
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* The values are recorded in the given array, and the number of runs recorded is equal to the size
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@@ -159,8 +231,7 @@ pub trait OneDReader: Reader {
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* @throws NotFoundException if counters cannot be filled entirely from row before running out
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* of pixels
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*/
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fn recordPattern(
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&self,
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pub fn recordPattern(
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row: &BitArray,
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start: usize,
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counters: &mut [u32],
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@@ -197,8 +268,7 @@ pub trait OneDReader: Reader {
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Ok(())
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}
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fn recordPatternInReverse(
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&self,
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pub fn recordPatternInReverse(
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row: &BitArray,
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start: usize,
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counters: &mut [u32],
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@@ -217,79 +287,7 @@ pub trait OneDReader: Reader {
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if numTransitionsLeft >= 0 {
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return Err(Exceptions::NotFoundException("".to_owned()));
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}
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self.recordPattern(row, start + 1, counters)?;
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recordPattern(row, start + 1, counters)?;
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Ok(())
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}
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/**
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* Determines how closely a set of observed counts of runs of black/white values matches a given
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* target pattern. This is reported as the ratio of the total variance from the expected pattern
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* proportions across all pattern elements, to the length of the pattern.
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*
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* @param counters observed counters
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* @param pattern expected pattern
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* @param maxIndividualVariance The most any counter can differ before we give up
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* @return ratio of total variance between counters and pattern compared to total pattern size
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*/
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fn patternMatchVariance(
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&self,
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counters: &[u32],
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pattern: &[u32],
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maxIndividualVariance: f32,
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) -> f32 {
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let mut maxIndividualVariance = maxIndividualVariance;
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let numCounters = counters.len();
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let mut total = 0.0;
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let mut patternLength = 0;
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for i in 0..numCounters {
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// for (int i = 0; i < numCounters; i++) {
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total += counters[i] as f32;
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patternLength += pattern[i];
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}
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if total < patternLength as f32 {
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// If we don't even have one pixel per unit of bar width, assume this is too small
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// to reliably match, so fail:
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return f32::INFINITY;
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}
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let unitBarWidth = total / patternLength as f32;
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maxIndividualVariance *= unitBarWidth as f32;
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let mut totalVariance = 0.0;
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for x in 0..numCounters {
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// for (int x = 0; x < numCounters; x++) {
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let counter = counters[x];
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let scaledPattern = (pattern[x] as f32) * unitBarWidth;
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let variance = if (counter as f32) > scaledPattern {
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counter as f32 - scaledPattern
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} else {
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scaledPattern - counter as f32
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};
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if variance > maxIndividualVariance {
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return f32::INFINITY;
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}
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totalVariance += variance;
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}
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return totalVariance / total;
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}
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/**
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* <p>Attempts to decode a one-dimensional barcode format given a single row of
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* an image.</p>
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*
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* @param rowNumber row number from top of the row
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* @param row the black/white pixel data of the row
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* @param hints decode hints
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* @return {@link RXingResult} containing encoded string and start/end of barcode
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* @throws NotFoundException if no potential barcode is found
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* @throws ChecksumException if a potential barcode is found but does not pass its checksum
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* @throws FormatException if a potential barcode is found but format is invalid
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*/
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fn decodeRow(
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&mut self,
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rowNumber: u32,
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row: &BitArray,
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hints: &DecodingHintDictionary,
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) -> Result<RXingResult, Exceptions>;
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}
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}
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