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How to use rows method in pyatom

Best Python code snippet using pyatom_python

distributed.py

Source:distributed.py

...81        else:82            raise TypeError("rows should be an RDD of vectors, got %s" % type(rows))83        self._java_matrix_wrapper = JavaModelWrapper(java_matrix)84    @property85    def rows(self):86        """87        Rows of the RowMatrix stored as an RDD of vectors.88        >>> mat = RowMatrix(sc.parallelize([[1, 2, 3], [4, 5, 6]]))89        >>> rows = mat.rows90        >>> rows.first()91        DenseVector([1.0, 2.0, 3.0])92        """93        return self._java_matrix_wrapper.call("rows")94    def numRows(self):95        """96        Get or compute the number of rows.97        >>> rows = sc.parallelize([[1, 2, 3], [4, 5, 6],98        ...                        [7, 8, 9], [10, 11, 12]])99        >>> mat = RowMatrix(rows)100        >>> print(mat.numRows())101        4102        >>> mat = RowMatrix(rows, 7, 6)103        >>> print(mat.numRows())104        7105        """106        return self._java_matrix_wrapper.call("numRows")107    def numCols(self):108        """109        Get or compute the number of cols.110        >>> rows = sc.parallelize([[1, 2, 3], [4, 5, 6],111        ...                        [7, 8, 9], [10, 11, 12]])112        >>> mat = RowMatrix(rows)113        >>> print(mat.numCols())114        3115        >>> mat = RowMatrix(rows, 7, 6)116        >>> print(mat.numCols())117        6118        """119        return self._java_matrix_wrapper.call("numCols")120    @since('2.0.0')121    def computeColumnSummaryStatistics(self):122        """123        Computes column-wise summary statistics.124        :return: :class:`MultivariateStatisticalSummary` object125                 containing column-wise summary statistics.126        >>> rows = sc.parallelize([[1, 2, 3], [4, 5, 6]])127        >>> mat = RowMatrix(rows)128        >>> colStats = mat.computeColumnSummaryStatistics()129        >>> colStats.mean()130        array([ 2.5,  3.5,  4.5])131        """132        java_col_stats = self._java_matrix_wrapper.call("computeColumnSummaryStatistics")133        return MultivariateStatisticalSummary(java_col_stats)134    @since('2.0.0')135    def computeCovariance(self):136        """137        Computes the covariance matrix, treating each row as an138        observation.139        .. note:: This cannot be computed on matrices with more than 65535 columns.140        >>> rows = sc.parallelize([[1, 2], [2, 1]])141        >>> mat = RowMatrix(rows)142        >>> mat.computeCovariance()143        DenseMatrix(2, 2, [0.5, -0.5, -0.5, 0.5], 0)144        """145        return self._java_matrix_wrapper.call("computeCovariance")146    @since('2.0.0')147    def computeGramianMatrix(self):148        """149        Computes the Gramian matrix `A^T A`.150        .. note:: This cannot be computed on matrices with more than 65535 columns.151        >>> rows = sc.parallelize([[1, 2, 3], [4, 5, 6]])152        >>> mat = RowMatrix(rows)153        >>> mat.computeGramianMatrix()154        DenseMatrix(3, 3, [17.0, 22.0, 27.0, 22.0, 29.0, 36.0, 27.0, 36.0, 45.0], 0)155        """156        return self._java_matrix_wrapper.call("computeGramianMatrix")157    @since('2.0.0')158    def columnSimilarities(self, threshold=0.0):159        """160        Compute similarities between columns of this matrix.161        The threshold parameter is a trade-off knob between estimate162        quality and computational cost.163        The default threshold setting of 0 guarantees deterministically164        correct results, but uses the brute-force approach of computing165        normalized dot products.166        Setting the threshold to positive values uses a sampling167        approach and incurs strictly less computational cost than the168        brute-force approach. However the similarities computed will169        be estimates.170        The sampling guarantees relative-error correctness for those171        pairs of columns that have similarity greater than the given172        similarity threshold.173        To describe the guarantee, we set some notation:174            * Let A be the smallest in magnitude non-zero element of175              this matrix.176            * Let B be the largest in magnitude non-zero element of177              this matrix.178            * Let L be the maximum number of non-zeros per row.179        For example, for {0,1} matrices: A=B=1.180        Another example, for the Netflix matrix: A=1, B=5181        For those column pairs that are above the threshold, the182        computed similarity is correct to within 20% relative error183        with probability at least 1 - (0.981)^10/B^184        The shuffle size is bounded by the *smaller* of the following185        two expressions:186            * O(n log(n) L / (threshold * A))187            * O(m L^2^)188        The latter is the cost of the brute-force approach, so for189        non-zero thresholds, the cost is always cheaper than the190        brute-force approach.191        :param: threshold: Set to 0 for deterministic guaranteed192                           correctness. Similarities above this193                           threshold are estimated with the cost vs194                           estimate quality trade-off described above.195        :return: An n x n sparse upper-triangular CoordinateMatrix of196                 cosine similarities between columns of this matrix.197        >>> rows = sc.parallelize([[1, 2], [1, 5]])198        >>> mat = RowMatrix(rows)199        >>> sims = mat.columnSimilarities()200        >>> sims.entries.first().value201        0.91914503...202        """203        java_sims_mat = self._java_matrix_wrapper.call("columnSimilarities", float(threshold))204        return CoordinateMatrix(java_sims_mat)205    @since('2.0.0')206    def tallSkinnyQR(self, computeQ=False):207        """208        Compute the QR decomposition of this RowMatrix.209        The implementation is designed to optimize the QR decomposition210        (factorization) for the RowMatrix of a tall and skinny shape.211        Reference:212         Paul G. Constantine, David F. Gleich. "Tall and skinny QR213         factorizations in MapReduce architectures"214         ([[http://dx.doi.org/10.1145/1996092.1996103]])215        :param: computeQ: whether to computeQ216        :return: QRDecomposition(Q: RowMatrix, R: Matrix), where217                 Q = None if computeQ = false.218        >>> rows = sc.parallelize([[3, -6], [4, -8], [0, 1]])219        >>> mat = RowMatrix(rows)220        >>> decomp = mat.tallSkinnyQR(True)221        >>> Q = decomp.Q222        >>> R = decomp.R223        >>> # Test with absolute values224        >>> absQRows = Q.rows.map(lambda row: abs(row.toArray()).tolist())225        >>> absQRows.collect()226        [[0.6..., 0.0], [0.8..., 0.0], [0.0, 1.0]]227        >>> # Test with absolute values228        >>> abs(R.toArray()).tolist()229        [[5.0, 10.0], [0.0, 1.0]]230        """231        decomp = JavaModelWrapper(self._java_matrix_wrapper.call("tallSkinnyQR", computeQ))232        if computeQ:233            java_Q = decomp.call("Q")234            Q = RowMatrix(java_Q)235        else:236            Q = None237        R = decomp.call("R")238        return QRDecomposition(Q, R)239    @since('2.2.0')240    def computeSVD(self, k, computeU=False, rCond=1e-9):241        """242        Computes the singular value decomposition of the RowMatrix.243        The given row matrix A of dimension (m X n) is decomposed into244        U * s * V'T where245        * U: (m X k) (left singular vectors) is a RowMatrix whose246             columns are the eigenvectors of (A X A')247        * s: DenseVector consisting of square root of the eigenvalues248             (singular values) in descending order.249        * v: (n X k) (right singular vectors) is a Matrix whose columns250             are the eigenvectors of (A' X A)251        For more specific details on implementation, please refer252        the Scala documentation.253        :param k: Number of leading singular values to keep (`0 < k <= n`).254                  It might return less than k if there are numerically zero singular values255                  or there are not enough Ritz values converged before the maximum number of256                  Arnoldi update iterations is reached (in case that matrix A is ill-conditioned).257        :param computeU: Whether or not to compute U. If set to be258                         True, then U is computed by A * V * s^-1259        :param rCond: Reciprocal condition number. All singular values260                      smaller than rCond * s[0] are treated as zero261                      where s[0] is the largest singular value.262        :returns: :py:class:`SingularValueDecomposition`263        >>> rows = sc.parallelize([[3, 1, 1], [-1, 3, 1]])264        >>> rm = RowMatrix(rows)265        >>> svd_model = rm.computeSVD(2, True)266        >>> svd_model.U.rows.collect()267        [DenseVector([-0.7071, 0.7071]), DenseVector([-0.7071, -0.7071])]268        >>> svd_model.s269        DenseVector([3.4641, 3.1623])270        >>> svd_model.V271        DenseMatrix(3, 2, [-0.4082, -0.8165, -0.4082, 0.8944, -0.4472, 0.0], 0)272        """273        j_model = self._java_matrix_wrapper.call(274            "computeSVD", int(k), bool(computeU), float(rCond))275        return SingularValueDecomposition(j_model)276    @since('2.2.0')277    def computePrincipalComponents(self, k):278        """279        Computes the k principal components of the given row matrix280        .. note:: This cannot be computed on matrices with more than 65535 columns.281        :param k: Number of principal components to keep.282        :returns: :py:class:`pyspark.mllib.linalg.DenseMatrix`283        >>> rows = sc.parallelize([[1, 2, 3], [2, 4, 5], [3, 6, 1]])284        >>> rm = RowMatrix(rows)285        >>> # Returns the two principal components of rm286        >>> pca = rm.computePrincipalComponents(2)287        >>> pca288        DenseMatrix(3, 2, [-0.349, -0.6981, 0.6252, -0.2796, -0.5592, -0.7805], 0)289        >>> # Transform into new dimensions with the greatest variance.290        >>> rm.multiply(pca).rows.collect() # doctest: +NORMALIZE_WHITESPACE291        [DenseVector([0.1305, -3.7394]), DenseVector([-0.3642, -6.6983]), \292        DenseVector([-4.6102, -4.9745])]293        """294        return self._java_matrix_wrapper.call("computePrincipalComponents", k)295    @since('2.2.0')296    def multiply(self, matrix):297        """298        Multiply this matrix by a local dense matrix on the right.299        :param matrix: a local dense matrix whose number of rows must match the number of columns300                       of this matrix301        :returns: :py:class:`RowMatrix`302        >>> rm = RowMatrix(sc.parallelize([[0, 1], [2, 3]]))303        >>> rm.multiply(DenseMatrix(2, 2, [0, 2, 1, 3])).rows.collect()304        [DenseVector([2.0, 3.0]), DenseVector([6.0, 11.0])]305        """306        if not isinstance(matrix, DenseMatrix):307            raise ValueError("Only multiplication with DenseMatrix "308                             "is supported.")309        j_model = self._java_matrix_wrapper.call("multiply", matrix)310        return RowMatrix(j_model)311class SingularValueDecomposition(JavaModelWrapper):312    """313    Represents singular value decomposition (SVD) factors.314    .. versionadded:: 2.2.0315    """316    @property317    @since('2.2.0')318    def U(self):319        """320        Returns a distributed matrix whose columns are the left321        singular vectors of the SingularValueDecomposition if computeU was set to be True.322        """323        u = self.call("U")324        if u is not None:325            mat_name = u.getClass().getSimpleName()326            if mat_name == "RowMatrix":327                return RowMatrix(u)328            elif mat_name == "IndexedRowMatrix":329                return IndexedRowMatrix(u)330            else:331                raise TypeError("Expected RowMatrix/IndexedRowMatrix got %s" % mat_name)332    @property333    @since('2.2.0')334    def s(self):335        """336        Returns a DenseVector with singular values in descending order.337        """338        return self.call("s")339    @property340    @since('2.2.0')341    def V(self):342        """343        Returns a DenseMatrix whose columns are the right singular344        vectors of the SingularValueDecomposition.345        """346        return self.call("V")347class IndexedRow(object):348    """349    Represents a row of an IndexedRowMatrix.350    Just a wrapper over a (long, vector) tuple.351    :param index: The index for the given row.352    :param vector: The row in the matrix at the given index.353    """354    def __init__(self, index, vector):355        self.index = long(index)356        self.vector = _convert_to_vector(vector)357    def __repr__(self):358        return "IndexedRow(%s, %s)" % (self.index, self.vector)359def _convert_to_indexed_row(row):360    if isinstance(row, IndexedRow):361        return row362    elif isinstance(row, tuple) and len(row) == 2:363        return IndexedRow(*row)364    else:365        raise TypeError("Cannot convert type %s into IndexedRow" % type(row))366class IndexedRowMatrix(DistributedMatrix):367    """368    Represents a row-oriented distributed Matrix with indexed rows.369    :param rows: An RDD of IndexedRows or (long, vector) tuples.370    :param numRows: Number of rows in the matrix. A non-positive371                    value means unknown, at which point the number372                    of rows will be determined by the max row373                    index plus one.374    :param numCols: Number of columns in the matrix. A non-positive375                    value means unknown, at which point the number376                    of columns will be determined by the size of377                    the first row.378    """379    def __init__(self, rows, numRows=0, numCols=0):380        """381        Note: This docstring is not shown publicly.382        Create a wrapper over a Java IndexedRowMatrix.383        Publicly, we require that `rows` be an RDD.  However, for384        internal usage, `rows` can also be a Java IndexedRowMatrix385        object, in which case we can wrap it directly.  This386        assists in clean matrix conversions.387        >>> rows = sc.parallelize([IndexedRow(0, [1, 2, 3]),388        ...                        IndexedRow(1, [4, 5, 6])])389        >>> mat = IndexedRowMatrix(rows)390        >>> mat_diff = IndexedRowMatrix(rows)391        >>> (mat_diff._java_matrix_wrapper._java_model ==392        ...  mat._java_matrix_wrapper._java_model)393        False394        >>> mat_same = IndexedRowMatrix(mat._java_matrix_wrapper._java_model)395        >>> (mat_same._java_matrix_wrapper._java_model ==396        ...  mat._java_matrix_wrapper._java_model)397        True398        """399        if isinstance(rows, RDD):400            rows = rows.map(_convert_to_indexed_row)401            # We use DataFrames for serialization of IndexedRows from402            # Python, so first convert the RDD to a DataFrame on this403            # side. This will convert each IndexedRow to a Row404            # containing the 'index' and 'vector' values, which can405            # both be easily serialized.  We will convert back to406            # IndexedRows on the Scala side.407            java_matrix = callMLlibFunc("createIndexedRowMatrix", rows.toDF(),408                                        long(numRows), int(numCols))409        elif (isinstance(rows, JavaObject)410              and rows.getClass().getSimpleName() == "IndexedRowMatrix"):411            java_matrix = rows412        else:413            raise TypeError("rows should be an RDD of IndexedRows or (long, vector) tuples, "414                            "got %s" % type(rows))415        self._java_matrix_wrapper = JavaModelWrapper(java_matrix)416    @property417    def rows(self):418        """419        Rows of the IndexedRowMatrix stored as an RDD of IndexedRows.420        >>> mat = IndexedRowMatrix(sc.parallelize([IndexedRow(0, [1, 2, 3]),421        ...                                        IndexedRow(1, [4, 5, 6])]))422        >>> rows = mat.rows423        >>> rows.first()424        IndexedRow(0, [1.0,2.0,3.0])425        """426        # We use DataFrames for serialization of IndexedRows from427        # Java, so we first convert the RDD of rows to a DataFrame428        # on the Scala/Java side. Then we map each Row in the429        # DataFrame back to an IndexedRow on this side.430        rows_df = callMLlibFunc("getIndexedRows", self._java_matrix_wrapper._java_model)431        rows = rows_df.rdd.map(lambda row: IndexedRow(row[0], row[1]))...

jquery.gridnav.js

Source:jquery.gridnav.js

1(function($) {2	jQuery.fn.reverse = Array.prototype.reverse;3	4	var 5		// auxiliar functions6		aux		= {7			setup				: function( $wrapper, $items, opts ) {8				9				// set the wrappers position to relative10				$wrapper.css('position', 'relative');11				12				// save the items position13				aux.saveInitialPosition( $items );14				15				// set the items to absolute and assign top & left16				$items.each(function(i) {17					var $item 	= $(this);18					$item.css({19						position	: 'absolute',20						left		: $item.data('left'),21						top			: $item.data('top')22					});23				});24				25					// check how many items we have per row26				var rowCount 	= Math.floor( $wrapper.width() / $items.width() ),27					// number of items to show is rowCount * n rows28					shown		= rowCount * opts.rows,29					// total number of rows30					totalRows	= Math.ceil( $items.length / rowCount );31				32				// save this values for later33				var config			= {};34				config.currentRow	= 1;35				config.totalRows	= totalRows;36				config.rowCount 	= rowCount;37				config.shownItems	= shown;38				$wrapper.data('config', config);39				40				// show n rowns41				$wrapper.children(':gt(' + (shown - 1) + ')').hide();42				43				// assign row classes to the items44				$items.each(function(i) {45					var $item 	= $(this),46						row		= Math.ceil( (i + 1) / rowCount );47					48					$item.addClass('tj_row_' + row);		49				});50				51				nav.setup( $wrapper, $items, opts );52				53			},54			saveInitialPosition	: function( $items ) {55				$items.each(function(i) {56					var $item 	= $(this);57					58					$item.data({59						left		: $item.position().left + 'px',60						top			: $item.position().top + 'px'61					});									62				});63			}64		},65		// navigation types66		nav		= {67			setup			: function( $wrapper, $items, opts ) {68				nav[opts.type.mode].setup( $wrapper, $items, opts );69			},70			def				: {71				setup		: function( $wrapper, $items, opts ) {72					var config = $wrapper.data('config');73					$items.each(function(i) {74						var $item 	= $(this),75							row		= Math.ceil( (i + 1) / config.rowCount ),76							t,77							f = row % opts.rows;78					79						if( f === 1 ) {80							t = '0px';		81						} else if( f === 0 ) {82							t = (opts.rows - 1) * $items.height()  + 'px'; 83						} else {84							t = (f - 1) * $items.height() + 'px';85						}86						87						$item.css({ top	: t });88					});	89				},90				pagination	: function( $wrapper, dir, opts ) {91					var config = $wrapper.data('config');92					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) || 93						( dir === -1 && config.currentRow - opts.rows <= 0 )94					) {95						$wrapper.data( 'anim', false );96						return false;97					}98					99					var currentRows	= '', nextRows = '';100					101					for( var i = 0; i < opts.rows; ++i ) {102						currentRows += '.tj_row_' + (config.currentRow + i) + ',';103						104						(dir === 1)105							? nextRows	+= '.tj_row_' + (config.currentRow + opts.rows + i) + ','106							: nextRows	+= '.tj_row_' + (config.currentRow - 1 - i) + ',';107					}108					109					$wrapper.children(currentRows).hide();110					$wrapper.children(nextRows).show();111					112					(dir === 1) ? config.currentRow += opts.rows : config.currentRow -= opts.rows;113					114					$wrapper.data( 'anim', false );115					$wrapper.data('config', config);116				}117			},118			fade			: {119				setup		: function( $wrapper, $items, opts ) {120					// same like def mode121					nav['def'].setup( $wrapper, $items, opts );122				},123				pagination	: function( $wrapper, dir, opts ) {124					var config = $wrapper.data('config');125					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) ||126						( dir === -1 && config.currentRow - opts.rows <= 0 )127					) {128						$wrapper.data( 'anim', false );129						return false;130					}131					132					var currentRows	= '', nextRows = '';133					134					for( var i = 0; i < opts.rows; ++i ) {135						currentRows += '.tj_row_' + (config.currentRow + i) + ',';136						137						(dir === 1)138							? nextRows	+= '.tj_row_' + (config.currentRow + opts.rows + i) + ','139							: nextRows	+= '.tj_row_' + (config.currentRow - 1 - i) + ',';140					}141					142					$wrapper.children(currentRows).fadeOut( opts.type.speed, opts.type.easing );143					144					var $nextRowElements= $wrapper.children(nextRows),145						totalNextRows	= $nextRowElements.length,146						cnt				= 0;147						148					$nextRowElements.fadeIn( opts.type.speed, opts.type.easing, function() {149						++cnt;150						if( cnt === totalNextRows ) {151							$wrapper.data( 'anim', false );152						}	153					});154					155					(dir === 1) ? config.currentRow += opts.rows : config.currentRow -= opts.rows;156					$wrapper.data('config', config);157				}158			},159			seqfade			: {160				setup		: function( $wrapper, $items, opts ) {161					// same like def mode162					nav['def'].setup( $wrapper, $items, opts );163				},164				pagination	: function( $wrapper, dir, opts ) {165					var config = $wrapper.data('config');166					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) || 167						( dir === -1 && config.currentRow - opts.rows <= 0 )168					) {169						$wrapper.data( 'anim', false );170						return false;171					}172					173					var currentRows	= '', nextRows = '';174					for( var i = 0; i < opts.rows; ++i ) {175						currentRows += '.tj_row_' + (config.currentRow + i) + ',';176						177						(dir === 1)178						? nextRows	+= '.tj_row_' + (config.currentRow + opts.rows + i) + ','179						: nextRows	+= '.tj_row_' + (config.currentRow - 1 - i) + ',';180					}181					182					var seq_t	= opts.type.factor;183					184					var $currentRowElements;185					( dir === 1 )186						? $currentRowElements = $wrapper.children(currentRows)187						: $currentRowElements = $wrapper.children(currentRows).reverse();188						189					$currentRowElements.each(function(i) {190						var $el = $(this);191						setTimeout(function() {192							$el.fadeOut( opts.type.speed, opts.type.easing )193						}, seq_t + i * seq_t);194					});195					196					var $nextRowElements;197					( dir === 1 )198						? $nextRowElements = $wrapper.children(nextRows)199						: $nextRowElements = $wrapper.children(nextRows).reverse();200					201					var total_elems	= $nextRowElements.length,202						cnt			= 0;203					204					$nextRowElements.each(function(i) {205						var $el = $(this);206						setTimeout(function() {207							$el.fadeIn( opts.type.speed, opts.type.easing, function() {208								++cnt;209								if( cnt === total_elems ) { 210									$wrapper.data( 'anim', false );211								}	212							})213						}, (seq_t * 2) + i * seq_t);214					});215					216					(dir === 1) ? config.currentRow += opts.rows : config.currentRow -= opts.rows;217					$wrapper.data('config', config);218				}219			},220			updown			: {221				setup		: function( $wrapper, $items, opts ) {222					var config = $wrapper.data('config');223					$wrapper.children(':gt(' + (config.shownItems - 1) + ')').css('opacity', 0);224					225					$items.each(function(i) {226						var $item 	= $(this),227							row		= Math.ceil( (i + 1) / config.rowCount ),228							t		= $item.position().top,229							f = row % opts.rows;230						231						if( row > opts.rows ) {232							t = (opts.rows * $items.height());		233						}234						235						$item.css({ top	: t + 'px'});236					});237				},238				pagination	: function( $wrapper, dir, opts ) {239					var config = $wrapper.data('config');240					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) || 241						( dir === -1 && config.currentRow - 1 <= 0 )242					) {243						$wrapper.data( 'anim', false );244						return false;245					}246					247					var movingRows	= '';248					249					for( var i = 0; i <= opts.rows; ++i ) {250						( dir === 1 )251							? movingRows += '.tj_row_' + (config.currentRow + i) + ','252							: movingRows += '.tj_row_' + (config.currentRow + (i - 1)) + ',';253					}254					255					var $elements;256					257					( dir === 1 )258						? $elements = $wrapper.children(movingRows)259						: $elements = $wrapper.children(movingRows).reverse();260					261					var total_elems	= $elements.length,262						cnt			= 0;263					264					$elements.each(function(i) {265						var $el 		= $(this),266							row			= $el.attr('class'),267							animParam	= {},268							269							currentRow	= config.currentRow;270						271						// if first row fade out272						// if last row fade in273						// for all the rows move them up / down274						if( dir === 1 ) {275							if(  row === 'tj_row_' + (currentRow) ) {276								animParam.opacity	= 0;277							}278							else if( row === 'tj_row_' + (currentRow + opts.rows) ) {279								animParam.opacity	= 1;280							}281						}282						else {283							if(  row === 'tj_row_' + (currentRow - 1) ) {284								animParam.opacity	= 1;285							}286							else if( row === 'tj_row_' + (currentRow + opts.rows - 1) ) {287								animParam.opacity	= 0;288							}289						}290						291						$el.show();292						293						(dir === 1)294							? animParam.top = $el.position().top - $el.height() + 'px'295							: animParam.top = $el.position().top + $el.height() + 'px'296						297						$el.stop().animate(animParam, opts.type.speed, opts.type.easing, function() {298							if( parseInt( animParam.top ) < 0 || parseInt( animParam.top ) > $el.height() * (opts.rows - 1) )299								$el.hide();300							301							++cnt;302							if( cnt === total_elems ) {303								$wrapper.data( 'anim', false );304							}	305						});306					});307					308					(dir === 1) ? config.currentRow += 1 : config.currentRow -= 1;309					$wrapper.data('config', config);310				}311			},312			sequpdown		: {313				setup 		: function( $wrapper, $items, opts ) {314					// same like updown mode315					nav['updown'].setup( $wrapper, $items, opts );316				},317				pagination	: function( $wrapper, dir, opts ) {318					var config = $wrapper.data('config');319					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) || 320						( dir === -1 && config.currentRow - 1 <= 0 )	321					) {322						$wrapper.data( 'anim', false );323						return false;324					}325					326					var movingRows	= '';327					328					for( var i = 0; i <= opts.rows; ++i ) {329						( dir === 1 )330							? movingRows += '.tj_row_' + (config.currentRow + i) + ','331							: movingRows += '.tj_row_' + (config.currentRow + (i - 1)) + ',';332					}333					334					var seq_t	= opts.type.factor,335						$elements;336					337					var dircond	= 1;338					if( opts.type.reverse ) dircond = -1;339					( dir === dircond )340						? $elements = $wrapper.children(movingRows)341						: $elements = $wrapper.children(movingRows).reverse();342					343					var total_elems	= $elements.length,344						cnt			= 0;345					346					$elements.each(function(i) {347						var $el 		= $(this),348							row			= $el.attr('class'),349							animParam	= {},350							351							currentRow	= config.currentRow;352							353						setTimeout(function() {354							// if first row fade out355							// if last row fade in356							// for all the rows move them up / down357							if( dir === 1 ) {358								if(  row === 'tj_row_' + (currentRow) ) {359									animParam.opacity	= 0;360								}361								else if( row === 'tj_row_' + (currentRow + opts.rows) ) {362									animParam.opacity	= 1;363								}364							}365							else {366								if(  row === 'tj_row_' + (currentRow - 1) ) {367									animParam.opacity	= 1;368								}369								else if( row === 'tj_row_' + (currentRow + opts.rows - 1) ) {370									animParam.opacity	= 0;371								}372							}373							374							$el.show();375							376							(dir === 1)377								? animParam.top = $el.position().top - $el.height() + 'px'378								: animParam.top = $el.position().top + $el.height() + 'px'379							380							$el.stop().animate(animParam, opts.type.speed, opts.type.easing, function() {381								if( parseInt( animParam.top ) < 0 || parseInt( animParam.top ) > $el.height() * (opts.rows - 1) )382									$el.hide();383									384								++cnt;385								if( cnt === total_elems ) { 386									$wrapper.data( 'anim', false );387								}	388							});	389						}, seq_t + i * seq_t);390					});391					392					(dir === 1) ? config.currentRow += 1 : config.currentRow -= 1;393					$wrapper.data('config', config);394				}395			},396			showhide		: {397				setup 		: function( $wrapper, $items, opts ) {398					var config = $wrapper.data('config');399					$items.each(function(i) {400						var $item 	= $(this),401							row		= Math.ceil( (i + 1) / config.rowCount ),402							t,403							f = row % opts.rows;404						405						if( f === 1 ) {406							t = '0px';		407						} else if( f === 0 ) {408							t = (opts.rows - 1) * $items.height()  + 'px'; 409						} else {410							t = (f - 1) * $items.height() + 'px';411						}412						413						$item.css({ top	: t });414					});		415				},416				pagination	: function( $wrapper, dir, opts ) {417					var config = $wrapper.data('config');418					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) || 419						( dir === -1 && config.currentRow - opts.rows <= 0 )420					) {421						$wrapper.data( 'anim', false );422						return false;423					}424					425					var currentRows	= '', nextRows = '';426					427					for( var i = 0; i < opts.rows; ++i ) {428						currentRows += '.tj_row_' + (config.currentRow + i) + ',';429						430						(dir === 1)431							? nextRows	+= '.tj_row_' + (config.currentRow + opts.rows + i) + ','432							: nextRows	+= '.tj_row_' + (config.currentRow - 1 - i) + ',';433					}434					435					$wrapper.children(currentRows).hide( opts.type.speed, opts.type.easing );436					437					var $nextRowElements= $wrapper.children(nextRows),438						totalNextRows	= $nextRowElements.length,439						cnt				= 0;440						441					$nextRowElements.show( opts.type.speed, opts.type.easing, function() {442						++cnt;443						if( cnt === totalNextRows ) {444							$wrapper.data( 'anim', false );445						}	446					});447					448					(dir === 1) ? config.currentRow += opts.rows : config.currentRow -= opts.rows;449					$wrapper.data('config', config);450				}451			},452			disperse		: {453				setup 		: function( $wrapper, $items, opts ) {454					var config = $wrapper.data('config');455					$items.each(function(i) {456						var $item 	= $(this),457							row		= Math.ceil( (i + 1) / config.rowCount ),458							t,459							f = row % opts.rows;460					461						if( f === 1 ) {462							t = '0px';		463						} else if( f === 0 ) {464							t = (opts.rows - 1) * $items.height()  + 'px'; 465						} else {466							t = (f - 1) * $items.height() + 'px';467						}468						469						$item.css({ top	: t }).data('top', t);470					});471				},472				pagination	: function( $wrapper, dir, opts ) {473					var config = $wrapper.data('config');474					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) || 475						( dir === -1 && config.currentRow - opts.rows <= 0 )476					) {477						$wrapper.data( 'anim', false );478						return false;479					}480					481					var currentRows	= '', nextRows = '';482					for( var i = 0; i < opts.rows; ++i ) {483						currentRows += '.tj_row_' + (config.currentRow + i) + ',';484						485						(dir === 1)486							? nextRows	+= '.tj_row_' + (config.currentRow + opts.rows + i) + ','487							: nextRows	+= '.tj_row_' + (config.currentRow - 1 - i) + ',';488					}489					490					$wrapper.children(currentRows).each(function(i) {491						var $el = $(this);492						$el.stop().animate({493							left	: $el.position().left + Math.floor( Math.random() * 101 ) - 50 + 'px',494							top		: $el.position().top + Math.floor( Math.random() * 101 ) - 50 + 'px',495							opacity	: 0496						}, opts.type.speed, opts.type.easing, function() {497							$el.css({498								left	: $el.data('left'),499								top		: $el.data('top')500							}).hide();501						});502					});503					504					var $nextRowElements	= $wrapper.children(nextRows);505						total_elems			= $nextRowElements.length,506						cnt					= 0;507					508					$nextRowElements.each(function(i) {509						var $el = $(this);510						511						$el.css({512							left	: parseInt($el.data('left')) + Math.floor( Math.random() * 301 ) - 150 + 'px',	513							top		: parseInt($el.data('top')) + Math.floor( Math.random() * 301 ) - 150 + 'px',514							opacity	: 0515						})516						.show()517						.animate({518							left	: $el.data('left'),519							top		: $el.data('top'),520							opacity	: 1521						}, opts.type.speed, opts.type.easing, function() {522							++cnt;523							if( cnt === total_elems ) { 524								$wrapper.data( 'anim', false );525							}526						});527					});528					529					(dir === 1) ? config.currentRow += opts.rows : config.currentRow -= opts.rows;530					$wrapper.data('config', config);531				}532			},533			rows			: {534				setup 		: function( $wrapper, $items, opts ) {535					// same like def mode536					nav['def'].setup( $wrapper, $items, opts );537				},538				pagination	: function( $wrapper, dir, opts ) {539					var config = $wrapper.data('config');540					if( ( dir === 1 && config.currentRow + opts.rows > config.totalRows ) || 541						( dir === -1 && config.currentRow - opts.rows <= 0 )542					) {543						$wrapper.data( 'anim', false );544						return false;545					}546					547					var currentRows	= '', nextRows = '';548					for( var i = 0; i < opts.rows; ++i ) {549						currentRows += '.tj_row_' + (config.currentRow + i) + ',';550						551						(dir === 1)552							? nextRows	+= '.tj_row_' + (config.currentRow + opts.rows + i) + ','553							: nextRows	+= '.tj_row_' + (config.currentRow - 1 - i) + ',';554					}555					556					$wrapper.children(currentRows).each(function(i) {557						var $el 	= $(this),558							rownmb	= $el.attr('class').match(/tj_row_(\d+)/)[1],559							diff;560							561						if( rownmb%2 === 0 ) {562							diff = opts.type.factor;563						}564						else {565							diff = -opts.type.factor;566						}567						568						$el.stop().animate({569							left	: $el.position().left + diff + 'px',570							opacity	: 0571						}, opts.type.speed, opts.type.easing, function() {572							$el.css({573								left	: $el.data('left')574							}).hide();575						});576					});577					578					var $nextRowElements	= $wrapper.children(nextRows);579						total_elems			= $nextRowElements.length,580						cnt					= 0;581					582					$nextRowElements.each(function(i) {583						var $el = $(this),584							rownmb	= $el.attr('class').match(/tj_row_(\d+)/)[1],585							diff;586						587						if( rownmb%2 === 0 ) {588							diff = opts.type.factor;589						}590						else {591							diff = -opts.type.factor;592						}593						594						$el.css({595							left	: parseInt($el.data('left')) + diff + 'px',596							opacity	: 0597						})598						.show()599						.animate({600							left	: $el.data('left'),601							opacity	: 1602						}, opts.type.speed, opts.type.easing, function() {603							++cnt;604							if( cnt === total_elems ) { 605								$wrapper.data( 'anim', false );606							}607						});608					});609					610					(dir === 1) ? config.currentRow += opts.rows : config.currentRow -= opts.rows;611					$wrapper.data('config', config);612				}613			}614		},615		methods = {616			init 	: function( options ) {617				618				if( this.length ) {619					620					var settings = {621						rows	: 2,622						navL	: '#tj_prev',623						navR	: '#tj_next',624						type	: {625							mode		: 'def', 		// use def | fade | seqfade | updown | sequpdown | showhide | disperse | rows626							speed		: 500,			// for fade, seqfade, updown, sequpdown, showhide, disperse, rows627							easing		: 'jswing',		// for fade, seqfade, updown, sequpdown, showhide, disperse, rows	628							factor		: 50,			// for seqfade, sequpdown, rows629							reverse		: false			// for sequpdown630						}631					};632					633					return this.each(function() {634						635						// if options exist, lets merge them with our default settings636						if ( options ) {637							$.extend( settings, options );638						}639						640						var $el 			= $(this).css( 'visibility', 'hidden' ),641							// the ul642							$wrapper		= $el.find('ul.tj_gallery'),643							// the items644							$thumbs			= $wrapper.children('li'),645							total			= $thumbs.length,646							// the navigation elements647							$p_nav			= $(settings.navL),648							$n_nav			= $(settings.navR);649						650						// save current row for later (first visible row)651						//config.currentRow	= 1;652						653						// flag to control animation progress654						$wrapper.data( 'anim', false );655						656						// preload thumbs657						var loaded = 0;658						$thumbs.find('img').each( function(i) {659							var $img 	= $(this);660							$('<img/>').load( function() {661								++loaded;662								if( loaded === total ) {663									664									// setup665									aux.setup( $wrapper, $thumbs, settings );666									$el.css( 'visibility', 'visible' );667									668									// navigation events669									if( $p_nav.length ) {670										$p_nav.bind('click.gridnav', function( e ) {671											if( $wrapper.data( 'anim' ) ) return false;672											$wrapper.data( 'anim', true );673											nav[settings.type.mode].pagination( $wrapper, -1, settings );674											return false;675										});676									}677									if( $n_nav.length ) {678										$n_nav.bind('click.gridnav', function( e ) {679											if( $wrapper.data( 'anim' ) ) return false;680											$wrapper.data( 'anim', true );681											nav[settings.type.mode].pagination( $wrapper, 1, settings );682											return false;683										});684									}685									/*686									adds events to the mouse687									*/688									$el.bind('mousewheel.gridnav', function(e, delta) {689										if(delta > 0) {690											if( $wrapper.data( 'anim' ) ) return false;691											$wrapper.data( 'anim', true );692											nav[settings.type.mode].pagination( $wrapper, -1, settings );693										}	694										else {695											if( $wrapper.data( 'anim' ) ) return false;696											$wrapper.data( 'anim', true );697											nav[settings.type.mode].pagination( $wrapper, 1, settings );698										}	699										return false;700									});701									702								}703							}).attr( 'src', $img.attr('src') );704						});705						706					});707				}708			}709		};710	711	$.fn.gridnav = function(method) {712		if ( methods[method] ) {713			return methods[method].apply( this, Array.prototype.slice.call( arguments, 1 ));714		} else if ( typeof method === 'object' || ! method ) {715			return methods.init.apply( this, arguments );716		} else {717			$.error( 'Method ' +  method + ' does not exist on jQuery.gridnav' );718		}719	};...

checkpoint_ops_test.py

Source:checkpoint_ops_test.py

...172        [33, init_val, init_val, init_val, 1, init_val], [3, 2])173    with self.cached_session():174      self.assertAllClose(expected_remapped_matrix,175                          self.evaluate(remapped_matrix))176  def test_load_and_remap_all_missing_rows(self):177    """Tests when all the rows are missing and need to be initialized."""178    num_rows = 7179    initializing_values = [42] * num_rows * self.old_num_cols180    remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(181        ckpt_path=[self.bundle_file],182        old_tensor_name=self.old_tensor_name,183        row_remapping=[-1] * num_rows,184        col_remapping=[],185        initializing_values=initializing_values,186        num_rows=num_rows,187        num_cols=self.old_num_cols)188    with self.cached_session():189      self.assertAllClose(190          np.reshape(initializing_values, (num_rows, self.old_num_cols)),191          self.evaluate(remapped_matrix))192  def test_load_and_remap_all_missing_rows_and_cols(self):193    """Tests when all the rows & cols are missing and need to be initialized."""194    num_rows = 7195    num_cols = 4196    initializing_values = [42] * num_rows * num_cols197    remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(198        ckpt_path=[self.bundle_file],199        old_tensor_name=self.old_tensor_name,200        row_remapping=[-1] * num_rows,201        col_remapping=[-1] * num_cols,202        initializing_values=initializing_values,203        num_rows=num_rows,204        num_cols=num_cols)205    with self.cached_session():206      self.assertAllClose(207          np.reshape(initializing_values, (num_rows, num_cols)),208          self.evaluate(remapped_matrix))209  @test_util.run_deprecated_v1210  def test_load_and_remap_invalid_remapping(self):211    """Tests that errors are raised when an ID maps to multiple new IDs.212    (This should usually not happen when using public APIs).213    """214    invalid_remapping = [1, 0, 0, 0, 1, 2]215    # Invalid row remapping.216    remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(217        ckpt_path=[self.bundle_file],218        old_tensor_name=self.old_tensor_name,219        row_remapping=invalid_remapping,220        col_remapping=[],221        initializing_values=[],222        num_rows=len(invalid_remapping),223        num_cols=self.old_num_cols)224    with self.cached_session(), self.assertRaises(errors.UnimplementedError):225      self.evaluate(remapped_matrix)226    # Invalid column remapping.227    remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(228        ckpt_path=[self.bundle_file],229        old_tensor_name=self.old_tensor_name,230        row_remapping=list(range(self.old_num_rows)),231        col_remapping=invalid_remapping,232        initializing_values=[],233        num_rows=self.old_num_rows,234        num_cols=len(invalid_remapping))235    with self.cached_session(), self.assertRaises(errors.UnimplementedError):236      self.evaluate(remapped_matrix)237  @test_util.run_deprecated_v1238  def test_load_and_remap_incorrect_initializing_values(self):239    """Tests that errors are raised with incorrect number of init values."""240    remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(241        ckpt_path=[self.bundle_file],242        old_tensor_name=self.old_tensor_name,243        row_remapping=[2, -1, 0],244        col_remapping=[1, -1],245        # Too few initializing values - there should be 4. For some reason,246        # initializing_values must contain no element (instead of 3 or fewer) to247        # ensure that a seg fault would reliably occur if the check raising the248        # InvalidArgumentError were not present.249        initializing_values=[],250        num_rows=3,251        num_cols=2)252    with self.cached_session(), self.assertRaises(errors.InvalidArgumentError):253      self.evaluate(remapped_matrix)254    remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(255        ckpt_path=[self.bundle_file],256        old_tensor_name=self.old_tensor_name,257        row_remapping=[2, -1, 0],258        col_remapping=[1, -1],259        # Too many initializing values - there should be 4.260        initializing_values=[0] * 5,261        num_rows=3,262        num_cols=2)263    with self.cached_session(), self.assertRaises(errors.InvalidArgumentError):264      self.evaluate(remapped_matrix)265class LoadAndRemapMatrixWithMaxRowsTest(test.TestCase):266  """Tests for the load_and_remap_matrix() op.267  (Specifically focused on the max_rows_in_memory arg and its effects on268  TensorBundle's BundleReader and TensorSlice logic).269  """270  def _test_loading_variable_with_max_rows(self, np_value, partitioner,271                                           max_rows_in_memory):272    """Helper function for various tests using max_rows_in_memory."""273    ops.reset_default_graph()274    old_tensor_name = 'matrix_to_load_and_remap'275    matrix = variable_scope.get_variable(276        old_tensor_name,277        dtype=dtypes.float32,278        initializer=constant_op.constant(np_value, dtype=dtypes.float32),279        partitioner=partitioner)280    with self.cached_session() as sess:281      ckpt_path = os.path.join(test.get_temp_dir(), 'temp_ckpt')282      save = saver.Saver([matrix])283      self.evaluate(variables.global_variables_initializer())284      save.save(sess, ckpt_path)285      num_rows, num_cols = np_value.shape286      # Tests loading the entire tensor (except reversed).287      remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(288          ckpt_path=ckpt_path,289          old_tensor_name=old_tensor_name,290          # Simply reverses the rows of the matrix.291          row_remapping=list(range(num_rows - 1, -1, -1)),292          col_remapping=[],293          initializing_values=[],294          num_rows=num_rows,295          num_cols=num_cols,296          max_rows_in_memory=max_rows_in_memory)297      self.assertAllClose(np_value[::-1], self.evaluate(remapped_matrix))298      # Tests loading the tensor (except for the first and last rows), with299      # uninitialized values. Requires num_rows to be at least 3 since we're300      # skipping the first and last rows.301      self.assertGreater(num_rows, 2)302      prefix_rows = 2303      suffix_rows = 3304      remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(305          ckpt_path=ckpt_path,306          old_tensor_name=old_tensor_name,307          # Reverses the rows of the matrix, then prepends and appends308          # uninitialized rows.309          row_remapping=([-1] * prefix_rows + list(range(1, num_rows - 1)) +310                         [-1] * suffix_rows),311          col_remapping=[],312          initializing_values=[42] * (prefix_rows + suffix_rows) * num_cols,313          num_rows=num_rows - 2 + prefix_rows + suffix_rows,314          num_cols=num_cols,315          max_rows_in_memory=max_rows_in_memory)316      self.assertAllClose(317          np.vstack([318              np.tile(42, [prefix_rows, num_cols]), np_value[1:-1],319              np.tile(42, [suffix_rows, num_cols])320          ]), self.evaluate(remapped_matrix))321      # Tests when everything is taken from initializing_values.322      new_rows = 7323      initializing_values = [42] * new_rows * num_cols324      remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(325          ckpt_path=ckpt_path,326          old_tensor_name=old_tensor_name,327          # Nothing is loaded from the old tensor.328          row_remapping=[-1] * new_rows,329          col_remapping=[],330          initializing_values=initializing_values,331          num_rows=new_rows,332          num_cols=num_cols,333          max_rows_in_memory=max_rows_in_memory)334      self.assertAllClose(335          np.reshape(initializing_values, (new_rows, num_cols)),336          self.evaluate(remapped_matrix))337  @test_util.run_deprecated_v1338  def test_loading_rows_divisible_by_max_rows(self):339    """Tests loading normal var when rows are evenly divisible by max_rows."""340    self._test_loading_variable_with_max_rows(341        np_value=np.reshape(list(range(0, 36)), (9, 4)),342        partitioner=None,343        # 9 is evenly divisible by 3.344        max_rows_in_memory=3)345  @test_util.run_deprecated_v1346  def test_loading_rows_not_divisible_by_max_rows(self):347    """Tests loading normal var when rows aren't divisible by max_rows."""348    self._test_loading_variable_with_max_rows(349        np_value=np.reshape(list(range(0, 36)), (9, 4)),350        partitioner=None,351        # 9 is not evenly divisible by 4.352        max_rows_in_memory=4)353  @test_util.run_deprecated_v1354  def test_loading_rows_less_than_max_rows(self):355    """Tests loading normal var as a single slice.356    (When the specified max_rows_in_memory is larger than the number of rows)357    """358    self._test_loading_variable_with_max_rows(359        np_value=np.reshape(list(range(0, 36)), (9, 4)),360        partitioner=None,361        # 10 > 9.362        max_rows_in_memory=10)363  @test_util.run_deprecated_v1364  def test_loading_no_max_rows(self):365    """Tests loading normal var as a single slice with no valid max_rows."""366    self._test_loading_variable_with_max_rows(367        np_value=np.reshape(list(range(0, 18)), (6, 3)),368        partitioner=None,369        max_rows_in_memory=-1)370  @test_util.run_deprecated_v1371  def test_loading_partitions_equals_max_rows(self):372    """Tests loading partitioned var sliced on partition boundary."""373    self._test_loading_variable_with_max_rows(374        np_value=np.reshape(list(range(0, 36)), (9, 4)),375        partitioner=partitioned_variables.fixed_size_partitioner(3),376        # With a tensor of shape [9, 3] and 3 partitions, each partition has377        # exactly 3 rows.378        max_rows_in_memory=3)379  @test_util.run_deprecated_v1380  def test_loading_partitions_greater_than_max_rows(self):381    """Tests loading partitioned var with more slices than partitions."""382    self._test_loading_variable_with_max_rows(383        np_value=np.reshape(list(range(0, 36)), (9, 4)),384        partitioner=partitioned_variables.fixed_size_partitioner(3),385        # Even though each partition has 3 rows, we'll only load the tensor one386        # row at a time.387        max_rows_in_memory=1)388  @test_util.run_deprecated_v1389  def test_loading_partitions_less_than_max_rows(self):390    """Tests loading partitioned var as a single slice.391    (When the specified max_rows_in_memory is larger than the number of rows)392    """393    self._test_loading_variable_with_max_rows(394        np_value=np.reshape(list(range(0, 36)), (9, 4)),395        partitioner=partitioned_variables.fixed_size_partitioner(3),396        max_rows_in_memory=10)397  @test_util.run_deprecated_v1398  def test_loading_partitions_no_max_rows(self):399    """Tests loading partitioned var as single slice with no valid max_rows."""400    self._test_loading_variable_with_max_rows(401        np_value=np.reshape(list(range(0, 36)), (9, 4)),402        partitioner=partitioned_variables.fixed_size_partitioner(3),403        max_rows_in_memory=-1)404if __name__ == '__main__':...

table.py

Source:table.py

1"""2"""3from const import *4import container5class Table(container.Container):6    """A table style container.7    8    <p>If you know HTML, this should all work roughly how you would expect.  If you are not9    familiar with HTML, please read <a href="http://www.w3.org/TR/REC-html40/struct/tables.html">Tables in HTML Documents</a>.  Pay attention to TABLE, TR, TD related parts of the document.</p>10    11    <pre>Table()</pre>12    13    <strong>Example</strong>14    <code>15    t = gui.Table()16    17    t.tr()18    t.td(gui.Label("First Name"), align=-1)19    t.td(gui.Input())20    t.tr()21    t.td(gui.Label("Last Name"), align=-1)22    t.td(gui.Input())23    </code>24        25    """26    27    28    def __init__(self, **params):29        params.setdefault('cls','table')30        container.Container.__init__(self, **params)31        self._rows = []32        self._curRow = 033        self._trok = False34    35    def getRows(self):36        return len(self._rows)37    38    def getColumns(self):39        if self._rows:40            return len(self._rows[0])41        else:42            return 043    44    def remove_row(self, n): #NOTE: won't work in all cases.45        if n >= self.getRows():46            print "Trying to remove a nonexistant row:", n, "there are only", self.getRows(), "rows"47            return48        49        for cell in self._rows[n]:50            if isinstance(cell, dict) and cell["widget"] in self.widgets:51                #print 'removing widget'52                self.widgets.remove(cell["widget"])53        del self._rows[n]54        #print "got here"55        56        for w in self.widgets:57            if w.style.row > n: w.style.row -= 158        59        if self._curRow >= n:60            self._curRow -= 161        62        #self.rect.w, self.rect.h = self.resize()63        #self.repaint()64        65        self.chsize()66    67    def clear(self):68        self._rows = []69        self._curRow = 070        self._trok = False71        self.widgets = []72        73        self.chsize()74        75        #print 'clear',self,self._rows76    77    def _addRow(self):78        self._rows.append([None for x in xrange(self.getColumns())])79    80    def tr(self):81        """Start on the next row."""82        if not self._trok:83            self._trok = True84            return 85        self._curRow += 186        if self.getRows() <= self._curRow:87            self._addRow()88    89    def _addColumn(self):90        if not self._rows:91            self._addRow()92        for row in self._rows:93            row.append(None)94    95    def _setCell(self, w, col, row, colspan=1, rowspan=1):96        #make room for the widget by adding columns and rows97        while self.getColumns() < col + colspan:98            self._addColumn()99        while self.getRows() < row + rowspan:100            self._addRow()101            102        #print w.__class__.__name__,col,row,colspan,rowspan103        104        #actual widget setting and modification stuff105        w.container = self106        w.style.row = row #HACK - to work with gal's list107        w.style.col = col #HACK - to work with gal's list108        self._rows[row][col] = {"widget":w, "colspan":colspan, "rowspan":rowspan}109        self.widgets.append(self._rows[row][col]["widget"])110        111        #set the spanned columns112        #for acell in xrange(col + 1, col + colspan):113        #    self._rows[row][acell] = True114        115        #set the spanned rows and the columns on them116        #for arow in xrange(row + 1, row + rowspan):117        #    for acell in xrange(col, col + colspan): #incorrect?118        #        self._rows[arow][acell] = True119        120        for arow in xrange(row, row + rowspan):121            for acell in xrange(col, col + colspan): #incorrect?122                if row != arow or col != acell:123                    self._rows[arow][acell] = True124    125    126    def td(self, w, col=None, row=None, colspan=1, rowspan=1, **params):127        """Add a widget to a table after wrapping it in a TD container.128        129        <pre>Table.td(w,col=None,row=None,colspan=1,rowspan=1,**params)</pre>130        131        <dl>132        <dt>w<dd>widget133        <dt>col<dd>column134        <dt>row<dd>row135        <dt>colspan<dd>colspan136        <dt>rowspan<dd>rowspan137        <dt>align<dd>horizontal alignment (-1,0,1)138        <dt>valign<dd>vertical alignment (-1,0,1)139        <dt>params<dd>other params for the TD container, style information, etc140        </dl>141        """142        143        Table.add(self,_Table_td(w, **params), col=col, row=row, colspan=colspan, rowspan=rowspan)144    145    def add(self, w, col=None, row=None, colspan=1, rowspan=1):146        """Add a widget directly into the table, without wrapping it in a TD container.147        148        <pre>Table.add(w,col=None,row=None,colspan=1,rowspan=1)</pre>149        150        <p>See Table.td for an explanation of the parameters.</p>151        """152        self._trok = True153        #if no row was specifically specified, set it to the current row154        if row is None:155            row = self._curRow156            #print row157        158        #if its going to be a new row, have it be on the first column159        if row >= self.getRows():160            col = 0161        162        #try to find an open cell for the widget163        if col is None:164            for cell in xrange(self.getColumns()):165                if col is None and not self._rows[row][cell]:166                    col = cell167                    break168        169        #otherwise put the widget in a new column170        if col is None:171            col = self.getColumns()172        173        self._setCell(w, col, row, colspan=colspan, rowspan=rowspan)174        175        self.chsize()176        return177        178    def remove(self,w):179        if hasattr(w,'_table_td'): w = w._table_td180        row,col = w.style.row,w.style.col181        cell = self._rows[row][col]182        colspan,rowspan = cell['colspan'],cell['rowspan']183        184        for arow in xrange(row , row + rowspan):185            for acell in xrange(col, col + colspan): #incorrect?186                self._rows[arow][acell] = False187        self.widgets.remove(w)188        self.chsize()189        190        191    192    def resize(self, width=None, height=None):193        #if 1 or self.getRows() == 82:194            #print ''195            #print 'resize',self.getRows(),self.getColumns(),width,height196            #import inspect197            #for obj,fname,line,fnc,code,n in inspect.stack()[9:20]:198            #    print fname,line,':',fnc,code[0].strip()199        200        #resize the widgets to their smallest size201        for w in self.widgets:202            w.rect.w, w.rect.h = w.resize()203        204        #calculate row heights and column widths205        rowsizes = [0 for y in xrange(self.getRows())]206        columnsizes = [0 for x in xrange(self.getColumns())]207        for row in xrange(self.getRows()):208            for cell in xrange(self.getColumns()):209                if self._rows[row][cell] and self._rows[row][cell] is not True:210                    if not self._rows[row][cell]["colspan"] > 1:211                        columnsizes[cell] = max(columnsizes[cell], self._rows[row][cell]["widget"].rect.w)212                    if not self._rows[row][cell]["rowspan"] > 1:213                        rowsizes[row] = max(rowsizes[row], self._rows[row][cell]["widget"].rect.h)214        215        #distribute extra space if necessary for wide colspanning/rowspanning216        for row in xrange(self.getRows()):217            for cell in xrange(self.getColumns()):218                if self._rows[row][cell] and self._rows[row][cell] is not True:219                    if self._rows[row][cell]["colspan"] > 1:220                        columns = xrange(cell, cell + self._rows[row][cell]["colspan"])221                        totalwidth = 0222                        for acol in columns:223                            totalwidth += columnsizes[acol]224                        if totalwidth < self._rows[row][cell]["widget"].rect.w:225                            for acol in columns:226                                columnsizes[acol] += _table_div(self._rows[row][cell]["widget"].rect.w - totalwidth, self._rows[row][cell]["colspan"],acol)227                    if self._rows[row][cell]["rowspan"] > 1:228                        rows = xrange(row, row + self._rows[row][cell]["rowspan"])229                        totalheight = 0230                        for arow in rows:231                            totalheight += rowsizes[arow]232                        if totalheight < self._rows[row][cell]["widget"].rect.h:233                            for arow in rows:234                                rowsizes[arow] += _table_div(self._rows[row][cell]["widget"].rect.h - totalheight, self._rows[row][cell]["rowspan"],arow)235         236        #make everything fill out to self.style.width, self.style.heigh, not exact, but pretty close...237        w, h = sum(columnsizes), sum(rowsizes)238        if w > 0 and w < self.style.width and len(columnsizes):239            d = (self.style.width - w) 240            for n in xrange(0, len(columnsizes)):241                v = columnsizes[n]242                columnsizes[n] += v * d / w243        if h > 0 and h < self.style.height and len(rowsizes):244            d = (self.style.height - h) / len(rowsizes)245            for n in xrange(0, len(rowsizes)):246                v = rowsizes[n]247                rowsizes[n] += v * d / h248        249        #set the widget's position by calculating their row/column x/y offset250        cellpositions = [[[sum(columnsizes[0:cell]), sum(rowsizes[0:row])] for cell in xrange(self.getColumns())] for row in xrange(self.getRows())]251        for row in xrange(self.getRows()):252            for cell in xrange(self.getColumns()):253                if self._rows[row][cell] and self._rows[row][cell] is not True:254                    x, y = cellpositions[row][cell]255                    w = sum(columnsizes[cell:cell+self._rows[row][cell]["colspan"]])256                    h = sum(rowsizes[row:row+self._rows[row][cell]["rowspan"]])257                    258                    widget = self._rows[row][cell]["widget"]259                    widget.rect.x = x260                    widget.rect.y = y261                    if 1 and (w,h) != (widget.rect.w,widget.rect.h):262#                         if h > 20:263#                             print widget.widget.__class__.__name__, (widget.rect.w,widget.rect.h),'=>',(w,h)264                        widget.rect.w, widget.rect.h = widget.resize(w, h)265                    266                    #print self._rows[row][cell]["widget"].rect267        268        #print columnsizes269        #print sum(columnsizes)270        #size = sum(columnsizes), sum(rowsizes); print size271        272        #return the tables final size273        return sum(columnsizes),sum(rowsizes)274        275def _table_div(a,b,c):276    v,r = a/b, a%b277    if r != 0 and (c%b)<r: v += 1278    return v279class _Table_td(container.Container):280    def __init__(self,widget,**params):#hexpand=0,vexpand=0,281        container.Container.__init__(self,**params)282        self.widget = widget283        #self.hexpand=hexpand284        #self.vexpand=vexpand285        widget._table_td = self286        self.add(widget,0,0)287    288    def resize(self,width=None,height=None):289        w = self.widget290        291        #expansion code, but i didn't like the idea that much..292        #a bit obscure, fairly useless when a user can just293        #add a widget to a table instead of td it in.294        #ww,hh=None,None295        #if self.hexpand: ww = self.style.width296        #if self.vexpand: hh = self.style.height297        #if self.hexpand and width != None: ww = max(ww,width)298        #if self.vexpand and height != None: hh = max(hh,height)299        #w.rect.w,w.rect.h = w.resize(ww,hh)300        301        #why bother, just do the lower mentioned item...302        w.rect.w,w.rect.h = w.resize()303        304        #this should not be needed, widgets should obey their sizing on their own.305        306#         if (self.style.width!=0 and w.rect.w > self.style.width) or (self.style.height!=0 and w.rect.h > self.style.height):307#             ww,hh = None,None308#             if self.style.width: ww = self.style.width309#             if self.style.height: hh = self.style.height310#             w.rect.w,w.rect.h = w.resize(ww,hh)311      312  313        #in the case that the widget is too big, we try to resize it314        if (width != None and width < w.rect.w) or (height != None and height < w.rect.h):315            w.rect.w,w.rect.h = w.resize(width,height)316        317        width = max(width,w.rect.w,self.style.width) #,self.style.cell_width)318        height = max(height,w.rect.h,self.style.height) #,self.style.cell_height)319        320        dx = width-w.rect.w321        dy = height-w.rect.h322        w.rect.x = (self.style.align+1)*dx/2323        w.rect.y = (self.style.valign+1)*dy/2324        ...

Automation Testing Tutorials

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