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NumCpp
1.0
A C++ implementation of the Python Numpy library
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Holds 1D and 2D arrays, the main work horse of the NumCpp library. More...
#include <NdArray.hpp>
Public Types | |
| typedef const dtype * | const_iterator |
| typedef dtype * | iterator |
Public Member Functions | |
| NdArray () noexcept | |
| NdArray (uint32 inSquareSize) noexcept | |
| NdArray (uint32 inNumRows, uint32 inNumCols) noexcept | |
| NdArray (const Shape &inShape) noexcept | |
| NdArray (const std::initializer_list< dtype > &inList) noexcept | |
| NdArray (const std::initializer_list< std::initializer_list< dtype > > &inList) | |
| template<size_t ArraySize> | |
| NdArray (const std::array< dtype, ArraySize > &inArray) noexcept | |
| NdArray (const std::vector< dtype > &inVector) noexcept | |
| NdArray (const std::deque< dtype > &inDeque) noexcept | |
| NdArray (const std::set< dtype > &inSet) noexcept | |
| NdArray (const_iterator inFirst, const_iterator inLast) noexcept | |
| NdArray (dtype *inPtr, uint32 numRows, uint32 numCols, bool takeOwnership=false) noexcept | |
| NdArray (dtype *inPtr, uint32 inNumBytes) noexcept | |
| NdArray (const NdArray< dtype > &inOtherArray) noexcept | |
| NdArray (NdArray< dtype > &&inOtherArray) noexcept | |
| ~NdArray () | |
| NdArray< bool > | all (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< bool > | any (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< uint32 > | argmax (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< uint32 > | argmin (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< uint32 > | argsort (Axis inAxis=Axis::NONE) const noexcept |
| template<typename dtypeOut > | |
| NdArray< dtypeOut > | astype () const noexcept |
| dtype & | at (int32 inIndex) |
| const dtype & | at (int32 inIndex) const |
| dtype & | at (int32 inRowIndex, int32 inColIndex) |
| const dtype & | at (int32 inRowIndex, int32 inColIndex) const |
| NdArray< dtype > | at (const Slice &inSlice) const |
| NdArray< dtype > | at (const Slice &inRowSlice, const Slice &inColSlice) const |
| NdArray< dtype > | at (const Slice &inRowSlice, int32 inColIndex) const |
| NdArray< dtype > | at (int32 inRowIndex, const Slice &inColSlice) const |
| dtype | back () const noexcept |
| iterator | begin () noexcept |
| iterator | begin (uint32 inRow) |
| const_iterator | begin () const noexcept |
| const_iterator | begin (uint32 inRow) const |
| NdArray< dtype > & | byteswap () noexcept |
| const_iterator | cbegin () const noexcept |
| const_iterator | cbegin (uint32 inRow) const |
| const_iterator | cend () const noexcept |
| const_iterator | cend (uint32 inRow) const |
| NdArray< dtype > | clip (dtype inMin, dtype inMax) const noexcept |
| NdArray< dtype > | column (uint32 inColumn) |
| NdArray< bool > | contains (dtype inValue, Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > | copy () const noexcept |
| const Slice | cSlice (int32 inStartIdx=0, uint32 inStepSize=1) const noexcept |
| NdArray< dtype > | cumprod (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > | cumsum (Axis inAxis=Axis::NONE) const noexcept |
| dtype * | data () const noexcept |
| dtype * | dataRelease () noexcept |
| NdArray< dtype > | diagonal (int32 inOffset=0, Axis inAxis=Axis::ROW) const noexcept |
| NdArray< dtype > | dot (const NdArray< dtype > &inOtherArray) const |
| void | dump (const std::string &inFilename) const |
| iterator | end () noexcept |
| iterator | end (uint32 inRow) |
| const_iterator | end () const noexcept |
| const_iterator | end (uint32 inRow) const |
| Endian | endianess () const noexcept |
| NdArray< dtype > & | fill (dtype inFillValue) noexcept |
| NdArray< dtype > | flatten () const noexcept |
| dtype | front () const noexcept |
| NdArray< dtype > | getByIndices (const NdArray< uint32 > &inIndices) const |
| NdArray< dtype > | getByMask (const NdArray< bool > &inMask) const |
| bool | isempty () const noexcept |
| dtype | item () const |
| NdArray< dtype > | max (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< double > | mean (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > | median (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > | min (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > & | nans () noexcept |
| uint64 | nbytes () const noexcept |
| NdArray< dtype > | newbyteorder (Endian inEndianess) const noexcept |
| NdArray< uint32 > | nonzero () const noexcept |
| NdArray< double > | norm (Axis inAxis=Axis::NONE) const noexcept |
| uint32 | numCols () noexcept |
| uint32 | numRows () noexcept |
| NdArray< dtype > & | ones () noexcept |
| NdArray< dtype > | operator & (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator & (dtype inScalar) const noexcept |
| NdArray< dtype > | operator && (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator && (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator &= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator &= (dtype inScalar) noexcept |
| NdArray< bool > | operator! () const noexcept |
| NdArray< bool > | operator!= (dtype inValue) const noexcept |
| NdArray< bool > | operator!= (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator% (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator% (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator%= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator%= (dtype inScalar) |
| dtype & | operator() (int32 inRowIndex, int32 inColIndex) noexcept |
| const dtype & | operator() (int32 inRowIndex, int32 inColIndex) const noexcept |
| NdArray< dtype > | operator() (const Slice &inRowSlice, const Slice &inColSlice) const |
| NdArray< dtype > | operator() (const Slice &inRowSlice, int32 inColIndex) const |
| NdArray< dtype > | operator() (int32 inRowIndex, const Slice &inColSlice) const |
| NdArray< dtype > | operator* (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator* (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator*= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator*= (dtype inScalar) noexcept |
| NdArray< dtype > | operator+ (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator+ (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator++ () noexcept |
| NdArray< dtype > | operator++ (int) noexcept |
| NdArray< dtype > & | operator+= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator+= (dtype inScalar) noexcept |
| NdArray< dtype > | operator- () const noexcept |
| NdArray< dtype > | operator- (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator- (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator-- () noexcept |
| NdArray< dtype > | operator-- (int) noexcept |
| NdArray< dtype > & | operator-= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator-= (dtype inScalar) noexcept |
| NdArray< dtype > | operator/ (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator/ (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator/= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator/= (dtype inScalar) noexcept |
| NdArray< bool > | operator< (const NdArray< dtype > &inOtherArray) const |
| NdArray< bool > | operator< (dtype inValue) const noexcept |
| NdArray< dtype > & | operator<<= (uint8 inNumBits) noexcept |
| NdArray< bool > | operator<= (dtype inValue) const noexcept |
| NdArray< bool > | operator<= (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > & | operator= (const NdArray< dtype > &inOtherArray) noexcept |
| NdArray< dtype > & | operator= (dtype inValue) noexcept |
| NdArray< dtype > & | operator= (NdArray< dtype > &&inOtherArray) noexcept |
| NdArray< bool > | operator== (dtype inValue) const noexcept |
| NdArray< bool > | operator== (const NdArray< dtype > &inOtherArray) const |
| NdArray< bool > | operator> (dtype inValue) const noexcept |
| NdArray< bool > | operator> (const NdArray< dtype > &inOtherArray) const |
| NdArray< bool > | operator>= (dtype inValue) const noexcept |
| NdArray< bool > | operator>= (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > & | operator>>= (uint8 inNumBits) noexcept |
| dtype & | operator[] (int32 inIndex) noexcept |
| const dtype & | operator[] (int32 inIndex) const noexcept |
| NdArray< dtype > | operator[] (const Slice &inSlice) const |
| NdArray< dtype > | operator[] (const NdArray< bool > &inMask) const |
| NdArray< dtype > | operator[] (const NdArray< uint32 > &inIndices) const |
| NdArray< dtype > | operator^ (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator^ (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator^= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator^= (dtype inScalar) noexcept |
| NdArray< dtype > | operator| (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator| (dtype inScalar) const noexcept |
| NdArray< dtype > & | operator|= (const NdArray< dtype > &inOtherArray) |
| NdArray< dtype > & | operator|= (dtype inScalar) noexcept |
| NdArray< dtype > | operator|| (const NdArray< dtype > &inOtherArray) const |
| NdArray< dtype > | operator|| (dtype inScalar) const noexcept |
| NdArray< dtype > | operator~ () const noexcept |
| bool | ownsInternalData () noexcept |
| NdArray< dtype > & | partition (uint32 inKth, Axis inAxis=Axis::NONE) |
| void | print () const noexcept |
| NdArray< dtype > | prod (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > | ptp (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > & | put (int32 inIndex, dtype inValue) |
| NdArray< dtype > & | put (int32 inRow, int32 inCol, dtype inValue) |
| NdArray< dtype > & | put (const NdArray< uint32 > &inIndices, dtype inValue) |
| NdArray< dtype > & | put (const NdArray< uint32 > &inIndices, const NdArray< dtype > &inValues) |
| NdArray< dtype > & | put (const Slice &inSlice, dtype inValue) |
| NdArray< dtype > & | put (const Slice &inSlice, const NdArray< dtype > &inValues) |
| NdArray< dtype > & | put (const Slice &inRowSlice, const Slice &inColSlice, dtype inValue) |
| NdArray< dtype > & | put (const Slice &inRowSlice, int32 inColIndex, dtype inValue) |
| NdArray< dtype > & | put (int32 inRowIndex, const Slice &inColSlice, dtype inValue) |
| NdArray< dtype > & | put (const Slice &inRowSlice, const Slice &inColSlice, const NdArray< dtype > &inValues) |
| NdArray< dtype > & | put (const Slice &inRowSlice, int32 inColIndex, const NdArray< dtype > &inValues) |
| NdArray< dtype > & | put (int32 inRowIndex, const Slice &inColSlice, const NdArray< dtype > &inValues) |
| NdArray< dtype > & | putMask (const NdArray< bool > &inMask, dtype inValue) |
| NdArray< dtype > & | putMask (const NdArray< bool > &inMask, const NdArray< dtype > &inValues) |
| NdArray< dtype > & | ravel () |
| NdArray< dtype > | repeat (uint32 inNumRows, uint32 inNumCols) const noexcept |
| NdArray< dtype > | repeat (const Shape &inRepeatShape) const noexcept |
| NdArray< dtype > & | reshape (uint32 inSize) |
| NdArray< dtype > & | reshape (int32 inNumRows, int32 inNumCols) |
| NdArray< dtype > & | reshape (const Shape &inShape) |
| NdArray< dtype > & | resizeFast (uint32 inNumRows, uint32 inNumCols) noexcept |
| NdArray< dtype > & | resizeFast (const Shape &inShape) noexcept |
| NdArray< dtype > & | resizeSlow (uint32 inNumRows, uint32 inNumCols) noexcept |
| NdArray< dtype > & | resizeSlow (const Shape &inShape) noexcept |
| NdArray< double > | rms (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > | round (uint8 inNumDecimals=0) const noexcept |
| NdArray< dtype > | row (uint32 inRow) |
| const Slice | rSlice (int32 inStartIdx=0, uint32 inStepSize=1) const noexcept |
| Shape | shape () const noexcept |
| uint32 | size () const noexcept |
| NdArray< dtype > & | sort (Axis inAxis=Axis::NONE) noexcept |
| NdArray< double > | stdev (Axis inAxis=Axis::NONE) const noexcept |
| std::string | str () const noexcept |
| NdArray< dtype > | sum (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > | swapaxes () const noexcept |
| void | tofile (const std::string &inFilename, const std::string &inSep="") const |
| std::vector< dtype > | toStlVector () const noexcept |
| dtype | trace (uint32 inOffset=0, Axis inAxis=Axis::ROW) const noexcept |
| NdArray< dtype > | transpose () const noexcept |
| NdArray< double > | var (Axis inAxis=Axis::NONE) const noexcept |
| NdArray< dtype > & | zeros () |
Friends | |
| NdArray< dtype > | operator<< (const NdArray< dtype > &lhs, uint8 inNumBits) noexcept |
| std::ostream & | operator<< (std::ostream &inOStream, const NdArray< dtype > &inArray) noexcept |
| NdArray< dtype > | operator>> (const NdArray< dtype > &lhs, uint8 inNumBits) noexcept |
Holds 1D and 2D arrays, the main work horse of the NumCpp library.
| typedef const dtype* nc::NdArray< dtype >::const_iterator |
| typedef dtype* nc::NdArray< dtype >::iterator |
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inlinenoexcept |
Defualt Constructor, not very usefull...
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inlineexplicitnoexcept |
Constructor
| inSquareSize | square number of rows and columns |
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inlinenoexcept |
Constructor
| inNumRows | |
| inNumCols |
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inlineexplicitnoexcept |
Constructor
| inShape |
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inlinenoexcept |
Constructor
| inList |
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inline |
Constructor
| inList | 2D initializer list |
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inlineexplicitnoexcept |
Constructor
| inArray |
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inlineexplicitnoexcept |
Constructor
| inVector |
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inlineexplicitnoexcept |
Constructor
| inDeque |
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inlineexplicitnoexcept |
Constructor
| inSet |
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inlineexplicitnoexcept |
Constructor
| inFirst | |
| inLast |
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inlinenoexcept |
Constructor. Operates as a shell around an already existing array of data.
| inPtr | dtype* to beginning of the array |
| numRows | the number of rows in the array |
| numCols | the nubmer of column in the array |
| takeOwnership | whether or not to take ownership of the data and call delete[] in the destructor. |
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inlinenoexcept |
Constructor. Copies the contents of the buffer into the array.
| inPtr | dtype* to beginning of buffer |
| inNumBytes | number of bytes |
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inlinenoexcept |
Copy Constructor
| inOtherArray |
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inlinenoexcept |
Move Constructor
| inOtherArray |
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inline |
Destructor
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inlinenoexcept |
Returns True if all elements evaluate to True or non zero
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.all.html
| inAxis | (Optional, default NONE) |
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inlinenoexcept |
Returns True if any elements evaluate to True or non zero
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.any.html
| inAxis | (Optional, default NONE) |
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inlinenoexcept |
Return indices of the maximum values along the given axis. Only the first index is returned.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.argmax.html
| inAxis | (Optional, default NONE) |
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inlinenoexcept |
Return indices of the minimum values along the given axis. Only the first index is returned.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.argmin.html
| inAxis | (Optional, default NONE) |
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inlinenoexcept |
Returns the indices that would sort this array.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.argsort.html
| inAxis | (Optional, default NONE) |
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inlinenoexcept |
Returns a copy of the array, cast to a specified type.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.astype.html
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inline |
1D access method with bounds checking
| inIndex |
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inline |
const 1D access method with bounds checking
| inIndex |
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inline |
2D access method with bounds checking
| inRowIndex | |
| inColIndex |
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inline |
const 2D access method with bounds checking
| inRowIndex | |
| inColIndex |
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inline |
const 1D access method with bounds checking
| inSlice |
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inline |
const 2D access method with bounds checking
| inRowSlice | |
| inColSlice |
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inline |
const 2D access method with bounds checking
| inRowSlice | |
| inColIndex |
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inline |
const 2D access method with bounds checking
| inRowIndex | |
| inColSlice |
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inlinenoexcept |
Returns the last element of the flattened array.
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inlinenoexcept |
iterator to the beginning of the flattened array None
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inline |
iterator to the beginning of the input row
| inRow |
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inlinenoexcept |
const iterator to the beginning of the flattened array None
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inline |
const iterator to the beginning of the input row
| inRow |
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inlinenoexcept |
Swap the bytes of the array elements in place
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.byteswap.html
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inlinenoexcept |
const iterator to the beginning of the flattened array
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inline |
const iterator to the beginning of the input row
| inRow |
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inlinenoexcept |
const iterator to 1 past the end of the flattened array
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inline |
const iterator to 1 past the end of the input row
| inRow |
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inlinenoexcept |
Returns an array whose values are limited to [min, max].
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.clip.html
| inMin | min value to clip to |
| inMax | max value to clip to |
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inline |
Returns the full column of the array
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inlinenoexcept |
returns whether or not a value is included the array
| inValue | |
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Return a copy of the array
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.copy.html
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inlinenoexcept |
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inlinenoexcept |
Return the cumulative product of the elements along the given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.cumprod.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Return the cumulative sum of the elements along the given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.cumsum.html
| inAxis | (Optional, default NONE) |
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inlinenoexcept |
Returns the raw pointer to the underlying data
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inlinenoexcept |
Releases the internal data pointer so that the destructor will not call delete on it, and returns the raw pointer to the underlying data.
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inlinenoexcept |
Return specified diagonals.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.diagonal.html
| inOffset | Offset of the diagonal from the main diagonal. Can be both positive and negative. Defaults to 0. |
| inAxis | (Optional, default ROW) axis the offset is applied to |
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inline |
Dot product of two arrays.
For 2-D arrays it is equivalent to matrix multiplication, and for 1-D arrays to inner product of vectors.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.dot.html
| inOtherArray |
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inline |
Dump a binary file of the array to the specified file. The array can be read back with or NC::load.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.dump.html
| inFilename |
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inlinenoexcept |
iterator to 1 past the end of the flattened array
|
inline |
iterator to the 1 past end of the row
| inRow |
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inlinenoexcept |
const iterator to 1 past the end of the flattened array
|
inline |
const iterator to the 1 past end of the row
| inRow |
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inlinenoexcept |
Return the NdArrays endianess
|
inlinenoexcept |
Fill the array with a scalar value.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.fill.html
| inFillValue |
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inlinenoexcept |
Return a copy of the array collapsed into one dimension.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.flatten.html
|
inlinenoexcept |
Returns the first element of the flattened array.
|
inline |
Returns a new flat array with the givin flat input indices.
| inIndices |
|
inline |
Takes in a boolean mask the same size as the array and returns a flattened array with the values cooresponding to the input mask.
| inMask |
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inlinenoexcept |
Return if the NdArray is empty. ie the default construtor was used.
|
inline |
Copy an element of an array to a standard C++ scalar and return it.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.item.html
|
inlinenoexcept |
Return the maximum along a given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.max.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Return the mean along a given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.mean.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Return the median along a given axis. Does NOT average if array has even number of elements!
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Return the minimum along a given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.min.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Fills the array with nans; only really works with. Only really works for dtype = float/double
|
inlinenoexcept |
Returns the number of bytes held by the array
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.nbytes.html
|
inlinenoexcept |
Return the array with the same data viewed with a different byte order. only works for integer types, floating point types will not compile and you will be confused as to why...
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.newbyteorder.html
| inEndianess |
|
inlinenoexcept |
Return the indices of the flattened array of the elements that are non-zero.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.nonzero.html
|
inlinenoexcept |
Returns the norm of the array
Numpy Reference: http://www.numpy.org/devdocs/reference/generated/numpy.linalg.norm.html?highlight=norm#numpy.linalg.norm
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Returns the number of columns in the array
|
inlinenoexcept |
Returns the number of rows in the array
|
inlinenoexcept |
Fills the array with ones
|
inline |
|
inlinenoexcept |
|
inline |
Takes the and of the elements of two arrays
| inOtherArray |
|
inlinenoexcept |
|
inline |
|
inlinenoexcept |
|
inlinenoexcept |
Takes the not of the array
|
inlinenoexcept |
Returns an array of booleans of element wise comparison of two arrays
| inValue |
|
inline |
Returns an array of booleans of element wise comparison of two arrays
| inOtherArray |
|
inline |
|
inlinenoexcept |
|
inline |
|
inline |
|
inlinenoexcept |
2D access operator with no bounds checking
| inRowIndex | |
| inColIndex |
|
inlinenoexcept |
const 2D access operator with no bounds checking
| inRowIndex | |
| inColIndex |
|
inline |
2D Slicing access operator with bounds checking. returned array is of the range [start, stop).
| inRowSlice | |
| inColSlice |
|
inline |
2D Slicing access operator with bounds checking. returned array is of the range [start, stop).
| inRowSlice | |
| inColIndex |
|
inline |
2D Slicing access operator with bounds checking. returned array is of the range [start, stop).
| inRowIndex | |
| inColSlice |
|
inline |
|
inlinenoexcept |
|
inline |
|
inlinenoexcept |
|
inline |
|
inlinenoexcept |
|
inlinenoexcept |
prefix incraments the elements of an array
|
inlinenoexcept |
postfix increments the elements of an array
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inline |
|
inlinenoexcept |
|
inlinenoexcept |
Negative Operator
|
inline |
|
inlinenoexcept |
|
inlinenoexcept |
prefix decrements the elements of an array
|
inlinenoexcept |
postfix decrements the elements of an array
|
inline |
|
inlinenoexcept |
|
inline |
|
inlinenoexcept |
|
inline |
|
inlinenoexcept |
|
inlinenoexcept |
Returns an array of booleans of element wise comparison the array and a scalar
| inValue |
|
inline |
Returns an array of booleans of element wise comparison of two arrays
| inOtherArray |
|
inlinenoexcept |
|
inlinenoexcept |
Returns an array of booleans of element wise comparison the array and a scalar
| inValue |
|
inline |
Returns an array of booleans of element wise comparison of two arrays
| inOtherArray |
|
inlinenoexcept |
Assignment operator, performs a deep copy
| inOtherArray |
|
inlinenoexcept |
Assignment operator, sets the entire array to a single scalar value.
| inValue |
|
inlinenoexcept |
Move operator, performs a deep move
| inOtherArray |
|
inlinenoexcept |
Returns an array of booleans of element wise comparison of two arrays
| inValue |
|
inline |
Returns an array of booleans of element wise comparison of two arrays
| inOtherArray |
|
inlinenoexcept |
Returns an array of booleans of element wise comparison the array and a scalar
| inValue |
|
inline |
Returns an array of booleans of element wise comparison of two arrays
| inOtherArray |
|
inlinenoexcept |
Returns an array of booleans of element wise comparison the array and a scalar
| inValue |
|
inline |
Returns an array of booleans of element wise comparison of two arrays
| inOtherArray |
|
inlinenoexcept |
|
inlinenoexcept |
1D access operator with no bounds checking
| inIndex |
|
inlinenoexcept |
const 1D access operator with no bounds checking
| inIndex |
|
inline |
1D Slicing access operator with bounds checking. returned array is of the range [start, stop).
| inSlice |
|
inline |
|
inline |
|
inline |
Takes the bitwise xor of the elements of two arrays
| inOtherArray |
|
inlinenoexcept |
|
inline |
Takes the bitwise xor of the elements of two arrays
| inOtherArray |
|
inlinenoexcept |
|
inline |
|
inlinenoexcept |
|
inline |
|
inlinenoexcept |
|
inline |
Takes the or of the elements of two arrays
| inOtherArray |
|
inlinenoexcept |
|
inlinenoexcept |
Takes the bitwise not of the array
|
inlinenoexcept |
Returns whether or not the array object owns the underlying data
|
inline |
Rearranges the elements in the array in such a way that value of the element in kth position is in the position it would be in a sorted array. All elements smaller than the kth element are moved before this element and all equal or greater are moved behind it. The ordering of the elements in the two partitions is undefined.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.partition.html
| inKth | kth element |
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Prints the array to the console.
|
inlinenoexcept |
Return the product of the array elements over the given axis
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.prod.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Peak to peak (maximum - minimum) value along a given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.ptp.html
| inAxis | (Optional, default NONE) |
|
inline |
set the flat index element to the value
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inIndex | |
| inValue |
|
inline |
set the 2D row/col index element to the value
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inRow | |
| inCol | |
| inValue |
|
inline |
Set a.flat[n] = values for all n in indices.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inIndices | |
| inValue |
|
inline |
Set a.flat[n] = values[n] for all n in indices.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inIndices | |
| inValues |
|
inline |
Set the slice indices to the input value.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inSlice | |
| inValue |
|
inline |
Set the slice indices to the input values.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inSlice | |
| inValues |
|
inline |
Set the slice indices to the input value.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inRowSlice | |
| inColSlice | |
| inValue |
|
inline |
Set the slice indices to the input value.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inRowSlice | |
| inColIndex | |
| inValue |
|
inline |
Set the slice indices to the input value.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inRowIndex | |
| inColSlice | |
| inValue |
|
inline |
Set the slice indices to the input values.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inRowSlice | |
| inColSlice | |
| inValues |
|
inline |
Set the slice indices to the input values.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inRowSlice | |
| inColIndex | |
| inValues |
|
inline |
Set the slice indices to the input values.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.put.html
| inRowIndex | |
| inColSlice | |
| inValues |
|
inline |
Set the mask indices to the input value.
| inMask | |
| inValue |
|
inline |
Set the mask indices to the input values.
| inMask | |
| inValues |
|
inline |
Flattens the array but does not make a copy.
Numpy Reference: https://docs.scipy.org/doc/numpy/reference/generated/numpy.ravel.html
|
inlinenoexcept |
Repeat elements of an array.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.repeat.html
| inNumRows | |
| inNumCols |
|
inlinenoexcept |
Repeat elements of an array.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.repeat.html
| inRepeatShape |
|
inline |
The new shape should be compatible with the original shape. If an single integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.reshape.html
| inSize |
|
inline |
The new shape should be compatible with the original shape. If an single integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.reshape.html
| inNumRows | |
| inNumCols |
|
inline |
The new shape should be compatible with the original shape. If an single integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.reshape.html
| inShape |
|
inlinenoexcept |
Change shape and size of array in-place. All previous data of the array is lost.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.resize.html
| inNumRows | |
| inNumCols |
|
inlinenoexcept |
Change shape and size of array in-place. All previous data of the array is lost.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.resize.html
| inShape |
|
inlinenoexcept |
Return a new array with the specified shape. If new shape is larger than old shape then array will be padded with zeros. If new shape is smaller than the old shape then the data will be discarded.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.resize.html
| inNumRows | |
| inNumCols |
|
inlinenoexcept |
Return a new array with the specified shape. If new shape is larger than old shape then array will be padded with zeros. If new shape is smaller than the old shape then the data will be discarded.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.resize.html
| inShape |
|
inlinenoexcept |
Return the root mean square (RMS) along a given axis.
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Return a with each element rounded to the given number of decimals.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.round.html
| inNumDecimals | (default 0) |
|
inline |
Returns the full row of the array
|
inlinenoexcept |
|
inlinenoexcept |
Return the shape of the array
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.shape.html
|
inlinenoexcept |
Return the size of the array
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.size.html
|
inlinenoexcept |
Sort an array, in-place.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.sort.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Return the std along a given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.std.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
returns the NdArray as a string representation
|
inlinenoexcept |
Return the sum of the array elements over the given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.sum.html
| inAxis | (Optional, default NONE) |
|
inlinenoexcept |
Interchange two axes of an array. Equivalent to transpose...
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.swapaxes.html
|
inline |
Write array to a file as text or binary (default).. The data produced by this method can be recovered using the function fromfile().
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.tofile.html
| inFilename | |
| inSep | Separator between array items for text output. If "" (empty), a binary file is written |
|
inlinenoexcept |
Write flattened array to an STL vector
|
inlinenoexcept |
Return the sum along diagonals of the array.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.trace.html
| inOffset | Offset of the diagonal from the main diagonal. Can be both positive and negative. Defaults to 0. |
| inAxis | (Optional, default ROW) Axis to offset from |
|
inlinenoexcept |
Tranpose the rows and columns of an array
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.transpose.html
|
inlinenoexcept |
Returns the variance of the array elements, along given axis.
Numpy Reference: https://www.numpy.org/devdocs/reference/generated/numpy.ndarray.var.html
| inAxis | (Optional, default NONE) |
|
inline |
Fills the array with zeros
|
friend |


{% extends "base.html" %} {% load i18n %} {% block content %}
{% blocktrans trimmed %} We are glad that you found your way to our web site. Honestly, the whole web site is just there to get your work into Debian. Your contribution is highly appreciated. Read on to see in what ways we will be helping you find a sponsor. {% endblocktrans %}
{% blocktrans trimmed %} If you want to package something not currently available in Debian, the very first step should be to file an "Intent to package" (ITP) bug on Work-Needing and Prospective Packages. {% endblocktrans %}
{% blocktrans with u_sponsor=url_sponsors trimmed %} Debian is a distribution, not a general purpose repository. Many of us do not believe every piece of free software necessarily belongs in Debian. Please do not treat Debian as a platform to advertise your own software, unless there is some real request for it. That said, there is no one who ultimately judges about that. Eventually you may get some feedback on that discussion after filing your WNPP bug (see below) however you are free to interpret that as a suggestion, not as a final vote. After all, you need to find a sponsor believing in the benefit of having your package in Debian. Please have a look at our sponsors page to learn about personal interests of sponsors. {% endblocktrans %}
{% blocktrans trimmed %} If you want to contribute to Debian, but you do not know which packages to contribute to, take a look at "Request for help" (RFH), "Request for adopter" (RFA), "Orphaned package" (O) and "Request for package" (RFP) bugs. See WNPP below. {% endblocktrans %}
{% blocktrans trimmed %} Work-Needing and Prospective Packages (WNPP) is our system of announcing your intent to markup packages being worked on. In particular it is a bug against the WNPP pseudo package (or use a nice frontend to browse WNPP bugs). You may want to use the reportbug tool to achieve that by selecting "wnpp" as package to report a bug to. {% endblocktrans %}
{% blocktrans trimmed %} Debian packages must comply to several normative requirements and guidelines. We can't give you exhaustive instructions on how to build packages here. In short, we expect you to provide a source package complying to the Debian policy at least (see below). Please take a look at those excellent resources: {% endblocktrans %}
{% blocktrans with u_sponsor=url_sponsors trimmed %} This web site is a public package repository of source packages. You can upload your package to this server (through special tools like 'dupload' or 'dput') and after a few checks it will be stored in our repository. Interested sponsors can then download the package and upload it to Debian. {% endblocktrans %}
{% blocktrans trimmed %} You need to use dput to upload packages. We accept your uploads through HTTPS or FTP. All packages must be signed (using debsign) with the GnuPG key you configured in your control panel. {% endblocktrans %}
| {% trans 'HTTPS uploads' %} | {% trans 'FTP uploads' %} |
|
{% blocktrans trimmed %} To use HTTPS put the following content to your ~/.dput.cf file: {% endblocktrans %} [mentors] fqdn = {{ settings.SITE_NAME }} incoming = /upload method = https allow_unsigned_uploads = 0 progress_indicator = 2 # Allow uploads for UNRELEASED packages allowed_distributions = .* |
{% blocktrans with title=settings.SITE_TITLE trimmed %} You can use FTP to upload packages to {{ title }}. If you prefer that method make sure you sign your uploads with your GPG key! This is the corresponding ~/.dput.cf file: {% endblocktrans %} [mentors-ftp] fqdn = {{ settings.SITE_NAME }} login = anonymous progress_indicator = 2 passive_ftp = 1 incoming = /pub/UploadQueue/ method = ftp allow_unsigned_uploads = 0 # Allow uploads for UNRELEASED packages allowed_distributions = .* |
{% blocktrans trimmed %} Once you have it set up, you can run it from your shell like this: {% endblocktrans %}
$ dput mentors your_sourcepackage_1.0.changes
{% blocktrans trimmed %} If you did everything right, you will get a confirmation mail from our site and you can start seeking a sponsor for your package. {% endblocktrans %}
{% blocktrans with title=settings.SITE_TITLE u_sponsor=url_sponsors trimmed %} Once your package is publicly available on any resource, including but not limited to {{ title }} you may start searching for a sponsor for your package. If you have already uploaded packages to Debian, you should ask your former sponsor. A sponsor is any Debian Developer willing to upload your package to Debian on your behalf. Have a look to our sponsors page to learn more on sponsors and how to find one. {% endblocktrans %}
{% blocktrans with u_reviewers=url_intro_review trimmed %} The main point of the sponsoring process is to review your package to make sure it meets our technical requirements. Everyone can and should review other people's packages. Also, a clean package will increase your likelihood to find a sponsor. Please take a look at our page about package reviews. {% endblocktrans %}
{% blocktrans trimmed %} A sponsor is not technically responsible for your package. You will be listed as the official maintainer of the package in Debian. You will even get the bug reports if people discover problems in your package. Apart from not being able to upload the package directly into Debian you are treated as a full member of the community. The Debian project appreciates the work you do. {% endblocktrans %}
{% blocktrans trimmed %} Do not give up. Sponsoring can take a while. Nonetheless, here are a few hints: {% endblocktrans %}
{% blocktrans trimmed %} Once you find a sponsor interested in your package, he or she will sponsor it. That means reviewing, building, and testing it and then uploading it to Debian. You will get notified by dak - the software used by Debian to manage its repositories - about the upload. Please note, if your package was not at all in Debian before, it needs manual approval by ftpmasters to clear the NEW queue. They will do consistency checks, and review your debian/copyright file whether your package matches the Debian Free Software Guidelines. ftpmaster's opinion is binding here for both your sponsor and you. {% endblocktrans %}
{% blocktrans with name=settings.SITE_NAME u_sponsor=url_sponsors trimmed %} Please see the corresponding chapter in the New Maintainer's Guide to get the idea. Whenever you feel like, you should update your package in Debian. The general procedure is not different from your first upload. Please upload your updated package to {{ name }} and notify your former sponsor about your change. Alternatively, follow the usual procedures. {% endblocktrans %}
{% blocktrans trimmed %} If your package passes through the sponsoring process for a few successive uploads without any notable correction by your sponsor, you can become a Debian Maintainer which grants you limited upload rights to Debian directly. Get in touch with your sponsor to discuss your chances here. You can also become a Debian Developer giving you full membership in the project. {% endblocktrans %}
{% endblock %}


//
I really enjoyed working with Shahin, you can trust his a 100%, he is committed, open, honest and gets your job done at high quality and on time. Anyone that wants to get a reliable local OPS Manager on board to take care of the operations of concrete products would love working with him. Thanks for our great collaboration, Shahin!
Shahin did a very good job. Especially job planning was absolutely precise and the results are exactly what we expected. I will definitely hire Gaurav again when it comes to ExtJS development. Working with Shahin was always good. He helped us setting up our prestashop shops and developed a couple of modules. When he was available he always worked fast and in good quality.
It was a pleasure working with Shahin. He successfully implemented our templates and features into the TYPO3 backend. He even supplied custom howto videos, so our editors were able to easily use the backend forms. We will definitely hire him again. Thank you for your good work.
Working with people from Shahin was a great success. They were very skillful and always reachable via skype and mail. The app was just approved in the appstore without any problems. The next time we have iphone related tasks, we will choose them again for sure. Thank you for your good work.
Working with Shahin was one of the best development experiences our company had for a long time. He was always available via skype and fulfilled all tasks fast and clean. His coding skills are outstanding and he always came up with very good suggestions for improvement. There is a lot to do in the future and when it comes to PHP / Zend Coding, we will definitely choose him again. l
I really enjoyed working for Zoop mobility. The training and full support given by Daphne Toombs and members of the Skype group throughout the campaign was thorough and absolutely fantastic. It was so lovely to work for you and Thank you so much Daphne for giving me this opportunity.
Copyright © All rights reserved 2020


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[gecode-users] Constraints on "wave" form
Richard Portelli
richard.portell at gmail.com
Thu Jun 12 12:48:38 CEST 2014
Sorry it's RIchard again,
you meant :
2014-06-12 11:50 GMT+02:00 Mikael Zayenz Lagerkvist <zayenz at gmail.com>:
> Richard Portelli skrev 12/06/14 10:32:
>
> Hello Christian,
>> I would like to know if there is an easy way to implement a special
>> constraint.
>> I have an array with 10 numbers.
>> My constraint would be : if you plot the array values in function of the
>> index, you should have a wave aspect /\.
>> For example with 10 numbers
>>
>> 1 3 5 9 11 7 6 5 4 2 0 (increasing then decreasing) There is no
>> importance at witch index there is the inflexion point.
>>
>> Would you have an idea how to implement that in a clean way?
>>
>>
> For reference, this is similar to the inflexion constraint (
> http://www.emn.fr/z-info/sdemasse/gccat/Cinflexion.html) with the number
> of inflexions set to 1 (assuming that valleys are also ok).
>
> The simplest way in my opinion to model this constraint would be the
> following.
>
> Assume the sequence of numbers is called x and has n entries.
> Define a new boolean array of variables y with n-1 values.
> For each place i in y, add the constraint
> y[i] = (x[i] < y[i])
> (that is, reified ordering).
> On the y variables, add the constraint regular(y, 1*0*)
>
> The ordering constraint and the regular expression can be modified to suit
> your particular needs.
>
> Cheers,
> Mikael
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
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Image hosting services provided courtesy of Pixabay:
Image Search Microservice - used for searching images and exploring recent searches.
Two classes of call:
A image search request is based on the query entered and the offset requested. The offset is used to iterate through results.
JSON will be retuned. "Total hits" from returned JSON refers to total number of results for search term. "Hits" refers to the first 10 search terms starting from offset. Each hit element object will contain three fields:
https://polar-drink.glitch.me/search?search_term="What+I+am+looking+for"&offset="30"
| Example Call | Example Result |
|---|---|
https://polar-drink.glitch.me/search?search_term=cute+dog&offset=300 |
{
"total_hits": 500,
"hits": [
{
"image_url": "https://cdn.pixabay.com/photo/2017/04/03/02/14/puppy-2197326_150.jpg",
"page_url": "https://pixabay.com/en/puppy-boy-dog-cute-love-kid-2197326/",
"alt_text": "puppy, boy, dog"
},
{
"image_url": "https://cdn.pixabay.com/photo/2017/03/11/19/17/boxer-2135671_150.jpg",
"page_url": "https://pixabay.com/en/boxer-dog-sad-breed-pet-animal-2135671/",
"alt_text": "boxer, dog, sad"
},
...
]
} |
https://polar-drink.glitch.me/search?search_term=cute+dog&offset=498 |
{"total_hits":500,"hits":[{"image_url":"https://cdn.pixabay.com/photo/2015/12/30/06/12/dog-1113807_150.jpg","page_url":"https://pixabay.com/en/dog-brown-pet-animal-cute-puppy-1113807/","alt_text":"dog, brown, pet"},{"image_url":"https://cdn.pixabay.com/photo/2016/04/09/16/30/dog-1318431_150.jpg","page_url":"https://pixabay.com/en/dog-play-meadow-romp-toys-animal-1318431/","alt_text":"dog, play, meadow"}]} |
https://polar-drink.glitch.me/search?search_term=cute+dog&offset=501 |
{
"error": "out of range"
} |
https://polar-drink.glitch.me/search?search_term=asdffee |
{
"error": "no results"
} |
A listing of the last 50 recent searches. Will return fewer if 50 searches have not been performed.
https://polar-drink.glitch.me/recent |
{
"list": [
"asdffee",
"cute dog",
"cute dog",
"cute dog",
"yellow flowers",
"yellow flowers"
]
} |


A CTO’s internship program out of a Los Angeles Startup
In 1999 while still a sophomore in college, I was given a chance that completely changed the course of my life. I met Kaoru Hayashi, the CEO and co-founder of a Tokyo tech startup called Digital Garage (now a publicly traded company in Japan) and he offered me a 3-month internship at his startup in Tokyo. Till this date, I still cherish every moment of that internship experience - learning how to code for the first time in Python and Zope, being exposed to open source technologies, meeting up with Joi Ito (then an entrepreneur, now a director at MIT Media Lab), supporting a live web coverage at Fuji Rock concert, hanging out with cool Tokyo teenagers and more. Had I not taken this internship, today I would probably be sitting in a cubicle instead of running a startup. Looking back, it was definitely something I would never trade anything for.
Today, as a CTO of a financial services startup, I am replicating that experience through Camino Financial’s Engineering Internship Program. In Los Angeles, there is a diverse pool of talents from all walks of life. There is also a healthy tech startup eco-system: a great network of local venture capitalists plus world-class universities nearby. What these young talents are missing is an opportunity to prove themselves in a real world professional environment. I want to create an internship program specifically for young people with little or no background in computer science. The idea is to expose them to real world software projects while completing a rigorous curriculum covering major computer science topics. The best part is that this is a paid internship program so interns can make some money and gain experience while having fun and picking up new skills.
So far we have some success with this and this is how we cracked the code.
An Ideal Profile for Our Intern
We open our door to everyone who is passionate about coding and software. Experience is secondary and not necessary, but definitely great to have. Another thing we look for is a deep appreciation in applying technology to solve problems in the lending space. Having an open mind and ability to work under pressure at a startup are some of the important qualities we look for.
Hiring kick off
When we published our first summer internship program online, we received a lot of responses from students in California. Most applicants were from around Los Angeles but quite a number also lived out of state. Receiving an overwhelming number of responses was of course exciting but sifting through this many applicants was no easy feat. We first did a phone screening for those that might be a good fit, we would then send them programming assignments if they seem solid. These were very easy assignments to test applicants understanding of Python, Django and Git. Even though the assignment itself was not hard, many applications did not complete the assignment within the allotted timeframe. In a way, this worked out because it saved us a lot of time in getting to the really motivated people.
We then invited these candidates to our office for an in-person interview. Sometimes, we would give more programming assignments for candidates to do and other times we would try to have candidates meet as many of our full-time staff as possible. What follows would be an internal selection process that mimics ‘America Got Talent’ or ‘American Idol’ - a discussion (and sometimes debate) and a voting process follow suit to pick an intern. Once a decision had been made, the candidates would usually begin the internship program in 2 weeks.
Funny to say, we met some very interesting candidates along the way. Some people were super enthusiastic in the beginning but then disappeared into the wind as soon as they saw the assignment. Some attempted the assignment but struggled to finish - and gave a ton of reason for not being able to finish (e.g. problem with cars, apartment, moving, friends, family, etc). People who did well on the assignment did not necessarily mean they would do well for the in-person interview. Main reason for disqualifying was chemistry mismatch. We had one candidate who came in but lied about their resume. That left a bad taste for sure.
Interns Balancing Work and Study
The execution focus of our program was to provide on-the-job-training for our interns while interns took online courses in computer science from renowned colleges . In a typical week, an intern would participate in our sprints and do tasks from actual projects. They would work closely with our full-time staff and become acquainted with our tech stack and processes. On top of that, we would also arrange trips to attend tech conventions/training and visit to other tech companies in the area. Aside from office work, they would complete the assigned online classes at their own pace. It’s an honor system so there would be no need for assignment submission. However, we would regularly give short midterms and finals to see if our interns are absorbing the material. All in all, it’s a rather busy schedule!
On the other hand, the philosophy behind the program was to actually test the limits of those that come through our door. A startup environment is absolutely not for everyone and we need to know if a candidate would be a good fit. Some unconventional methods we apply: we would allow our interns to have access to production systems and make them responsible for live deployments. We would also throw them into hot fire when bugs become rampant. We’d also allow them to interface with our 3rd party vendors to follow up issues. We’d also give them freedom to pick tools they’d like to work with to solve problems at hand. Most importantly, we make our candidates accountable for the quality of their work at the company. Needless to say, we would praise and reprimand accordingly.
Challenges of the Internship Program
The biggest risk is of our program is identifying a suitable candidate from the get-go. This is basically a judgement of character and talent potential based on the initial interactions such as testing, interviews and so on. However, it is not always easy so there is a bit of luck involved here.
The other main challenge is the ability of our interns to take on pressure in a startup environment. Every week there is something. I can’t remember a week goes by without any production or IT issue of some sort. There are also staff issues which can be tough to deal with. Interns themselves also have personal matters to take care of. Everything happening at once can be overwhelming, leaving people to quit half way.
Program duration is also an important consideration. Too short - your startup risks bringing on inexperienced people full time too soon. Too long - your intern may find opportunities elsewhere. Finding the right duration is an outcome of trial and error. This depends a lot on the startup and the reward structure itself.
Related to duration is the program content itself. I usually tailor the assigned courses to our intern’s interests and experience level. However, sometimes software projects from work can overwhelm our interns completely. In my experience, this may not be ideal as it robs time away from building that foundation which an intern desperately needs for long term growth. Also heuristically, a program with more breath than depth may be more beneficial for all.
Intern Graduation and Beyond
When our first intern graduated, we had a chat.
“What have you learned through the internship program?” I asked.
“You know… writing software, learning algorithms, and - " he replied.
“I mean philosophically what have you learned?” I interrupted.
He paused for a long time, giving it a lot of thought.
“People have emotions. Project can get tough. Personally, I also had a lot of stuff going on… It was bitter sweet but I am glad I did it,” He said.
Before my eyes, it was amazing to see the transformation of an inexperienced candidate into a very capable staff in the engineering department. On the spot, we gave an offer for a full-time position. Within 2 days he accepted the offer and couldn’t feel more grateful and excited about the opportunity.
This confirms yet again my conviction that talents can be developed - you just need to look hard and ensure they go through the rigors of a solid internship program.


Press release
Ofsted reports to Suffolk County Council after inspections
Following focused inspections of 33 Suffolk schools in September 2013, Ofsted has written to Suffolk County Council with its findings.
The focused inspections are part of a concerted programme of action by Ofsted to establish why children in some parts of the country have a much lower chance of attending a good or better school than their peers in other similar areas.
The schools were inspected during the focused inspection period 9–20 September, including: 23 primary schools; seven secondary schools; one community special school; and two pupil referral units (PRUs). The schools were all due for inspection by the end of this academic year.
During the inspections, Ofsted also gathered information on the use, quality and impact of local authority support for school improvement by asking three additional key questions of headteachers and governors.
The letter sent to Suffolk County Council has been published online
.
-
The letter to Suffolk County Council will be published on the Ofsted website at 08:00 on Thursday 7 November.
-
Ofsted announced the first wave of focused school inspections across local authority areas, where children are being denied the standard of education they deserve, on 17 January 2013. The press release is available on the Ofsted website.
-
Local authority areas were selected for the focused school inspection programme that took place during the spring 2013 term on the basis of the relative proportion of children attending good or better primary schools, as set out in the last Ofsted Annual Report, and Ofsted data on the proportion of children attending good or better secondary schools, as well as any relevant inspection evidence gathered during the autumn 2012 term. These are standard section 5 inspections, which were scheduled to take place this academic year and include all types of schools – although the majority will be primary schools.
-
The most recent published data shows that in Suffolk, 30% of primary schools are not yet ‘good’.
-
Ofsted’s Annual Report
is available online.


P = S - R - B + E + F + T
where
Precipitation is any product of the condensation of atmospheric water vapor that falls under gravity. The main forms of precipitation include drizzle, rain, sleet, snow, graupel and hail. Precipitation occurs when a portion of the atmosphere becomes saturated with water vapor, so that the water condenses and "precipitates". Thus, fog and mist are not precipitation but suspensions, because the water vapor does not condense sufficiently to precipitate. Two processes, possibly acting together, can lead to air becoming saturated: cooling the air or adding water vapor to the air. Precipitation forms as smaller droplets coalesce via collision with other rain drops or ice crystals within a cloud. Short, intense periods of rain in scattered locations are called "showers."
Infiltration is the process by which water on the ground surface enters the soil. Infiltration rate in soil science is a measure of the rate at which soil is able to absorb rainfall or irrigation. It is measured in inches per hour or millimeters per hour. The rate decreases as the soil becomes saturated. If the precipitation rate exceeds the infiltration rate, runoff will usually occur unless there is some physical barrier. It is related to the saturated hydraulic conductivity of the near-surface soil. The rate of infiltration can be measured using an infiltrometer.
In hydrological terms, subsurface flow is the flow of water beneath the Earth's surface as part of the water cycle. When precipitation falls on the earth's land, some of the water flows on the surface forming streams and rivers. The remaining water, through infiltration, penetrates the soil traveling underground, hydrating the soil, recharging aquifers, with the excess flowing in subsurface runoff. Water flows from areas where the water table is higher to areas where it is lower. The amount of runoff reaching surface and groundwater can vary significantly, depending on rainfall, soil moisture, permeability, groundwater storage, evaporation, upstream use, and whether or not the ground is frozen. The movement of subsurface water is determined largely by the water gradient, type of substrate, and any barriers to flow.
Evaporation is a sort of vaporization, that happens on the surface of a fluid as it changes into the gaseous phase. The encompassing gas must not be saturated with the dissipating substance. At the point when the particles of the fluid collide, they exchange energy to each other in view of how they impact. At the point when a particle close to the surface ingests enough energy to defeat the vapor pressure, it will "escape" and enter the surrounding air as a gas. In an encased situation, the a fluid will vanish until the point when the encompassing air is immersed. Evaporation is a fundamental piece of the water cycle. The (sun powered energy) drives evaporation of water from seas, lakes, dampness in the dirt, and different wellsprings of water. Studies have demonstrated that the seas, oceans, lakes, and waterways give about 90 percent of the moisture in the air by means of evaporation, with the rest of the 10 percent being contributed by plant transpiration. Evaporation, similar to precipitation, is estimated in inches or milimeter every year. It depends on the following major factors -
Transpiration is the process by which moisture is carried through plants from roots to small pores on the underside of leaves, where it changes to vapor and is released to the atmosphere. Transpiration is essentially evaporation of water from plant leaves. Transpiration also includes a process called guttation, which is the loss of water in liquid form from the uninjured leaf or stem of the plant, principally through water stomata. Plants put down roots into the soil to draw water and nutrients up into the stems and leaves. Some of this water is returned to the air by transpiration (when combined with evaporation, the total process is known as evapotranspiration). Transpiration rates vary widely depending on weather conditions, such as temperature, humidity, sunlight availability and intensity, precipitation, soil type and saturation, wind, land slope, and water use and diversion by people. During dry periods, transpiration can contribute to the loss of moisture in the upper soil zone, which can have an effect on vegetation and food-crop fields
Surface runoff (also known as overland flow) is the flow of water that occurs when excess stormwater, meltwater, or other sources flows over the Earth's surface. This might occur because soil is saturated to full capacity, because rain arrives more quickly than soil can absorb it, or because impervious areas (roofs and pavement) send their runoff to surrounding soil that cannot absorb all of it. Surface runoff is a major component of the water cycle. It is the primary agent in soil erosion by water. In addition to causing water erosion and pollution, surface runoff in urban areas is a primary cause of urban flooding which can result in property damage, damp and mold in basements, and street flooding. Runoff that occurs on the ground surface before reaching a channel is also called a nonpoint source. If a nonpoint source contains man-made contaminants, or natural forms of pollution (such as rotting leaves) the runoff is called nonpoint source pollution. A land area which produces runoff that drains to a common point is called a drainage basin. When runoff flows along the ground, it can pick up soil contaminants including petroleum, pesticides, or fertilizers that become discharge or nonpoint source pollution
The precipitated water that infiltrates from the land surface is stored in the ground. The water is not stagnant and is still a part of the water cycle. In the upper layer, the soil is not yet saturated and the amount of water keeps varying with time In the layer below this, all the spaces between rock particles are filled with water and this saturated layer is called groundwater. If these water bearing zones are capable of yielding enough water to supply people's houses, then they are called aquifers.


HERE'S HOW TO GET IN TOUCH:
School email<EMAIL_ADDRESS>Personal email<EMAIL_ADDRESS>Feel free to email me with any comments, concerns or suggestions about this site. I will try to respond as soon as possible.
In addition, I have a Tumblr, and you can email me and ask for my url if you are interested.


Boron
Element Name:
Boron
Latin Name:
Borum
Atomic Number:
5
Atomic Weight:
10.811 u
Is a:
Metalloid
State of the element:
Solid
About:
Boron is a chemical element with the symbol B and atomic number 5. Produced entirely by cosmic ray spallation and supernovae and not by stellar nucleosynthesis, it is a low-abundance element in the Solar system and in the Earth's crust. Boron is concentrated on Earth by the water-solubility of its more common naturally occurring compounds, the borate minerals. These are mined industrially as evaporites, such as borax and kernite. The largest known boron deposits are in Turkey, the largest producer of boron minerals.
Electrons
5
Protons
5
Neutrons
6
Discoverer:
Joseph Louis Gay-Lussac, Louis Jacques Thenard, Humphry Davy
Discovered in:
1808


1 write to _effectiveAction
System.Management.Automation (1)
engine\Attributes.cs (1)
625
_effectiveAction
= ExperimentalFeature.GetActionToTake(ExperimentName, ExperimentAction);
2 references to _effectiveAction
System.Management.Automation (2)
engine\Attributes.cs (2)
623
if (
_effectiveAction
== ExperimentAction.None)
628
return
_effectiveAction
;


--- layout: post status: publish published: true title: 'Podcast #16 - 8/8/09' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 1187 wordpress_url: http://ivyenvy.com/?p=1187 date: '2009-08-08 10:15:02 +0000' date_gmt: '2009-08-08 16:15:02 +0000' categories: - Podcast tags: - Podcast comments: [] ---
Andy and Corey welcome guests Matt Veto and Brian to the Ivy Envy backyard to celebrate the 21st anniversary of the first night game at Wrigley. Rate us and give us a review on iTunes so we can surpass all those dead Cubs podcasts.


{% load static %}
Admin Dashboard
{% block block_js %} {% endblock %} {% block css_block %} {% endblock %}
Admin Dashboard
Dashboard
Users
Transactions
Approved Loan
Request Loan
Rejected Loan
Add Category
SignOut
{% block body_block %} {% endblock %}


Draw the shape in the "Target" grid to "Your Drawing" grid.
You can paint black and white cells on the grids, by dragging the mouse from a corner to the opposite one.
This version of task can be solved in only 3 steps.
This version of task can be solved in no more than 5 steps.
This version of task can be solved in only 8 steps.
 (A pixel corresponds to a single cell in the grid that represents the image.)
The operation involved in this task consists if toggling the filling of a set of cells. To implement this operation on a computer, we ask it to replace each 0 by a 1 and each 1 by a 0, for all the cells in the desired area.
In a single second, a modern computer is able to execute more than a hundred billion such toggle operations!
And, after a second work, the computer does not even get tired :) Tireless, it is able to continue its job at such daunting speed for years on...


fzsftp(1) FileZilla Manual fzsftp(1) NAME fzsftp - SFTP connection handler of FileZilla DESCRIPTION fzsftp is part of FileZilla. It is used to handle SFTP (SSH File Transfer Protocol) connections. It usually gets called by FileZilla and is not intended to be used directly. fzsftp is based on the psftp component of PuTTY. SUPPORT Please visit http://filezilla-project.org/ for further information. Report bugs only if you are using the latest version available from the FileZilla website. COPYRIGHT Copyright (C) 2004-2010 Tim Kosse Copyright (C) 1997-2010 Simon Tatham and the PuTTY team FileZilla is distributed under the terms of the GNU General Public License version 2 or later. SEE ALSO filezilla(1) January 2008 fzsftp(1)


System Storage Manager (SSM) provides a command line interface to manage storage in various technologies. We will show a kind of use case that how to manage a brand new disk and mount it on the certain point.
We consider such a situation that we already have had a machine running with Linux OS, and now we finding out the space of /opt
is almost running out in some reasons. We decide add a new disk for this node ( if you are using virtual machine you just add a new disk without any other operations, but you have to take consideration of raid in physical machine case ) endeavor to migrate data to this new space and keep the mount point ( /opt
) stays the same for long.
Here we give a comparatively complete steps in this script demo though the command is pretty simple. You still have to notice that there are several special conditions are limited in our case: 1) Available yum source; 2) The device name of disk new added is /dev/sdb
and the mount point is /opt
; 3) The logic volume name is lv_opt
, the volume group name is datavg
, those are specified in command ssm create -n lv_opt --fstype xfs -p datavg /dev/sdb /opt
#!/bin/sh
#if [ $# -ne 1 ];then
# action "USAGE: $0 disk-use"
# exit 1
#fi
. /etc/init.d/functions
current_user=`whoami`
if [[ "$current_user" == "root" ]];then
action "ensure user is root" /bin/true
else
action "run script must is root" /bin/false
exit 1
fi
rpm -qa |grep "system-storage-manager"
if [ $? -eq 0 ];then
action "system-storage-manager have been install " /bin/true
else
yum list |grep system-storage-manager > /dev/null
if [ $? -ne 0 ];then
action "yum list haven't system-storage-manager" /bin/false
exit 1
fi
echo "start install system-storage-manager..."
yum -y install system-storage-manager > /dev/null
rpm -qa |grep "system-storage-manager" > /dev/null
if [ $? -ne 0 ];then
action "system-storage-manager install fail " /bin/false
exit 1
fi
action "system-storage-manager install Success" /bin/true
fi
opt_line=`ls -l /opt | wc -l`
echo "/opt file lines is $opt_line"
mkdir -p /tmp/opt
mv /opt/* /tmp/opt
tmp_line=`ls -l /tmp/opt | wc -l`
echo "/tmp/opt file lines is $tmp_line"
if [[ "$opt_line" == "$tmp_line" ]];then
action "/opt filelist mv Success " /bin/true
else
action "/opt filelist mv fail " /bin/false
exit 1
fi
fdisk -l |grep /dev/sdb > /dev/null
if [ $? -ne 0 ];then
action "fdisk /dev/sdb not exist " /bin/false
exit 1
fi
action "fdisk /dev/sdb ready OK " /bin/true
#ssm create -s 100%FREE -n lv_opt --fstype xfs -p datavg /dev/sdb /opt > /dev/null
ssm create -n lv_opt --fstype xfs -p datavg /dev/sdb /opt > /dev/null
pvs |grep /dev/sdb
if [ $? -ne 0 ];then
action "PV create fail " /bin/false
exit 1
fi
action "PV create Success " /bin/true
vgs |grep datavg
if [ $? -ne 0 ];then
action "VG create fail " /bin/false
exit 1
fi
action "VG create Success " /bin/true
lvs |grep lv_opt
if [ $? -ne 0 ];then
action "LV create fail " /bin/false
exit 1
fi
action "LV create Success " /bin/true
df -Th |grep "opt" > /dev/null
if [ $? -ne 0 ];then
action "fdisk /dev/sdb not exist " /bin/false
exit 1
fi
action "/opt mount Success " /bin/true
echo "/dev/mapper/datavg-lv_opt /opt xfs defaults 0 0" >> /etc/fstab
action "write mount INFO to /etc/fstab " /bin/true
tail -1 /etc/fstab
echo "start auto mount check"
umount /opt
echo "start umount /opt "
df -Th |grep "opt" > /dev/null
if [ $? -eq 0 ];then
action "/opt umount fail " /bin/false
exit 1
fi
action "/opt umount Success " /bin/true
echo "Start Auto mount "
mount -a
df -Th |grep "opt" > /dev/null
if [ $? -ne 0 ];then
action "fdisk /dev/sdb auot mount fail " /bin/false
exit 1
fi
action "/opt mount Success " /bin/true
echo "/tmp/opt/ file now move /opt "
mv /tmp/opt/* /opt/.
new_opt_line=`ls -l /opt/. |wc -l`
if [[ "$new_opt_line" == "$opt_line" ]];then
action "/tmp/opt filelist mv Success " /bin/true
echo "current line is : $new_opt_line"
else
action "/tmp/opt filelist mv fail " /bin/false
exit 1
fi
ls -l /opt
echo "all of operation End "
Use df -h
check the result.


Hmmm, can't seem to find any results for that search term.
Hmmm, something happened while searching for that.


Features under Docker Engine 18.09 Release
Docker Engine v18.09.1 went GA during January 2019. It was made available for both the Community and Enterprise users. Docker Enterprise is a superset of all the features in Docker Community Edition. It incorporates defect fixes that you can use in environments where new features cannot be adopted as quickly for consistency and compatibility reasons.
New in 18.09 is an aligned release model for Docker Engine – Community and Docker Engine – Enterprise. The new versioning scheme is YY.MM.x where x is an incrementing patch version. They will ship concurrently with the same x patch version based on the same code base.
Update runc to address a critical vulnerability that allows specially-crafted containers to gain administrative privileges on the host. CVE-2019-5736 Ubuntu 14.04 customers using a 3.13 kernel will need to upgrade to a supported Ubuntu 4.x kernel Docker Engine v18.09.1 comes with dozens of new features, improvements and bug fixes. Let us go through the list of Top features which you should be aware of while you upgrade to Docker 18.09.1 release.
Docker Engine v18.09.1 comes with containerd v1.2.2
- BuildKit 0.3.3 is Available & is out of experimental mode
- Support for Compose on Kubernetes
- Exposing Product Info under docker info command
- Process isolation on Windows 10 for the first time
- Support for remote connections using SSH
- Support for SSH agent socket forwarder
- Support for “registry-mirrors” and “insecure-registries” when using BuildKit
- Support for build-time secrets using a –secret flag when using BuildKit
- Support for docker build –pull … when using BuildKit
- Docker Engine v18.09.1 comes with containerd 1.2.2 version
Docker Engine v18.09.2 release for CE and EE both is shipped with containerd 1.2.2 version. In Docker versions prior to 18.09, containerd was managed by the Docker engine daemon. In Docker Engine 18.09, containerd is managed by systemd.
Let us try installing the latest Docker 18.09.2 on a fresh Ubuntu 18.10 VM and try verifying the containerd version.
sudo curl -sSL https://get.docker.com/ | sh
# Executing docker install script, commit: 26dda3d
+ sudo -E sh -c apt-get update -qq >/dev/null
+ sudo -E sh -c apt-get install -y -qq apt-transport-https ca-certificates curl >/dev/null
+ sudo -E sh -c curl -fsSL "https://download.docker.com/linux/ubuntu/gpg" | apt-key add -qq - >/dev/null
Warning: apt-key output should not be parsed (stdout is not a terminal)
+ sudo -E sh -c echo "deb [arch=amd64] https://download.docker.com/linux/ubuntu cosmic edge" > /etc/apt/sources.list.d/docker.list
+ sudo -E sh -c apt-get update -qq >/dev/null
+ sudo -E sh -c apt-get install -y -qq --no-install-recommends docker-ce >/dev/null
+ sudo -E sh -c docker version
Client:
Version: 18.09.2
API version: 1.39
Go version: go1.10.6
Git commit: 6247962
Built: Sun Feb 10 04:13:46 2019
OS/Arch: linux/amd64
Experimental: false
Server: Docker Engine - Community
Engine:
Version: 18.09.2
API version: 1.39 (minimum version 1.12)
Go version: go1.10.6
Git commit: 6247962
Built: Sun Feb 10 03:42:13 2019
OS/Arch: linux/amd64
Experimental: false
If you would like to use Docker as a non-root user, you should now consider
adding your user to the "docker" group with something like:
sudo usermod -aG docker robertsingh181
Remember that you will have to log out and back in for this to take effect!
WARNING: Adding a user to the "docker" group will grant the ability to run
containers which can be used to obtain root privileges on the
docker host.
Refer to https://docs.docker.com/engine/security/security/#docker-daemon-attack-surface
for more information.
@collabnix:~$ sudo usermod -aG docker robertsingh181
Verifying Docker Version
$sudo docker version
Client:
Version: 18.09.2
API version: 1.39
Go version: go1.10.6
Git commit: 6247962
Built: Sun Feb 10 04:13:46 2019
OS/Arch: linux/amd64
Experimental: false
Server: Docker Engine - Community
Engine:
Version: 18.09.2
API version: 1.39 (minimum version 1.12)
Go version: go1.10.6
Git commit: 6247962
Built: Sun Feb 10 03:42:13 2019
OS/Arch: linux/amd64
Experimental: false
Please Note: The client and container runtime are now in separate packages from the daemon in Docker Engine 18.09. Users should install and update all three packages at the same time to get the latest patch releases.
For example, on Ubuntu: sudo apt install docker-ce docker-ce-cli containerd.io.
$ sudo dpkg --list | grep container
ii containerd.io 1.2.2-3 amd64 An open and reliable container runtime
ii docker-ce 5:18.09.2~3-0~ubuntu-cosmic amd64 Docker: the open-source application container engine
ii docker-ce-cli 5:18.09.2~3-0~ubuntu-cosmic amd64 Docker CLI: the open-source application container engine
Verifying Containerd Version
$ sudo containerd --help
NAME:
containerd -
__ _ __
_________ ____ / /_____ _(_)___ ___ _________/ /
/ ___/ __ \/ __ \/ __/ __ `/ / __ \/ _ \/ ___/ __ /
/ /__/ /_/ / / / / /_/ /_/ / / / / / __/ / / /_/ /
\___/\____/_/ /_/\__/\__,_/_/_/ /_/\___/_/ \__,_/
high performance container runtime
USAGE:
containerd [global options] command [command options] [arguments...]
VERSION:
1.2.2
COMMANDS:
config information on the containerd config
publish binary to publish events to containerd
oci-hook provides a base for OCI runtime hooks to allow arguments to be injected.
help, h Shows a list of commands or help for one command
GLOBAL OPTIONS:
--config value, -c value path to the configuration file (default: "/etc/containerd/config.toml")
--log-level value, -l value set the logging level [trace, debug, info, warn, error, fatal, panic]
--address value, -a value address for containerd's GRPC server
--root value containerd root directory
--state value containerd state directory
--help, -h show help
--version, -v print the version
$ sudo ctr version
Client:
Version: 1.2.2
Revision:<PHONE_NUMBER>f7fe2f4e74d43e2fc7ccd237edcbce
Server:
Version: 1.2.2
Revision:<PHONE_NUMBER>f7fe2f4e74d43e2fc7ccd237edcbce
Since containerd is managed by systemd under v18.09.1 release, any custom configuration to the docker.service systemd configuration which changes mount settings (for example, MountFlags=slave) breaks interactions between the Docker Engine daemon and containerd, and you will not be able to start containers. Run the following command to get the current value of the MountFlags property for the docker.service:
sudo systemctl show --property=MountFlags docker.service
MountFlags=
Update your configuration if this command prints a non-empty value for MountFlags, and restart the docker service.
BuildKit 0.3.3 is Available & is out of experimental mode
BuildKit is a new project under the Moby umbrella for building and packaging software using containers. It is a toolkit for converting source code to build artifacts in an efficient, expressive and repeatable manner. Docker 18.09.0 is the first release with buildkit support. With this latest release, you can now run Buildkit without experimental mode enabled. Buildkit can now be configured with an option in daemon.json too.
The docker build is a Docker integrated tool for building images using Dockerfile. It requires Docker daemon to be running. It’s similar to docker run command but some features are intentionally removed for security reasons like no volumes(docker run -v, docker run –mount) and no privileged mode(`docker run –privileged). Buildkit is meant to become the next generation backend implementation for docker build command and github.com/docker/docker/builder package. This doesn’t mean any changes to Dockerfile format as buildkit draws a boundary between build backends and frontends. Dockerfile would be one of the frontend implementations. When invoked from the Docker CLI buildkit would be capable of exposing clients context directory as a source and use Docker containers as a worker. The snapshots would be backed by Docker’s layer store(containerD snapshot drivers). End results from the builder would be exported to docker images.
What problems does BuildKit solve for us?
If you look at Dockerfile, we are reading all commands in Dockerfile from start to the end one by one until we reach to the end.Modifying a single line always invalidates the caches of the subsequent lines. For example: N-th line is assumed to be always dependent on (N-1)th line
FROM debian
EXPOSE 80
RUN apt update && apt install git
As shown above, modifying the 2nd line(EXPOSE 80) always invalidates the apt cache due to false dependency. A user need to arrange the instructions carefully for efficient caching. This brings inefficient caching problem.
Not only this, inaccessible to private assets is another major problem with traditional Dockerfile. There is no safe way to access private assets(eg. Git Repos, S3) from build containers. Hence, copying credentials using COPY can leak the credentials accidently.Buildkit solves the above problems by using DAG-style low level language called LLB.
The main areas BuildKit improves on the current experience are performance, storage management, and extensibility. From the performance side, a significant update is a new fully concurrent build graph solver. It can run build steps in parallel when possible and optimize out commands that don’t have an impact on the final result. We have also optimized the access to the local source files. By tracking only the updates made to these files between repeated build invocations, there is no need to wait for local files to be read or uploaded before the work can begin.
Let us compare docker build Vs Buildkit and see how Buildkit builds the Docker image a more faster than traditional approach.
$ git clone https://github.com/ajeetraina/hellowhale
Cloning into 'hellowhale'...
remote: Enumerating objects: 28, done.
remote: Total 28 (delta 0), reused 0 (delta 0), pack-reused 28
Unpacking objects: 100% (28/28), done.
~$ cd hellowhale/
~$ ls
Dockerfile README.md html wrapper.sh
:~/hellowhale$ time docker build -t ajeetraina/hellowhale .
Sending build context to Docker daemon 153.1kB
Step 1/4 : FROM nginx:latest
latest: Pulling from library/nginx
6ae821421a7d: Pull complete
da4474e5966c: Pull complete
eb2aec2b9c9f: Pull complete
Digest: sha256:dd2d0ac3fff2f007d99e033b64854be0941e19a2ad51f174d9240dda20d9f534
Status: Downloaded newer image for nginx:latest
---> f09fe80eb0e7
Step 2/4 : COPY wrapper.sh /
---> 10d671c6cf08
Step 3/4 : COPY html /usr/share/nginx/html
---> 3e8a09f56168
Step 4/4 : CMD ["./wrapper.sh"]
---> Running in b1f24992f9e5
Removing intermediate container b1f24992f9e5
---> 9dae85ca0867
Successfully built 9dae85ca0867
Successfully tagged ajeetraina/hellowhale:latest
real 0m6.359s
user 0m0.035s
sys 0m0.022s
Let’s build it with buildkit:
time docker build -t ajeetraina/hellowhale .
[+] Building 1.7s (9/9) FINISHED
=> [internal] load build definition from Dockerfile 0.1s
=> => transferring dockerfile: 135B 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load metadata for docker.io/library/nginx:latest 0.0s
=> [internal] helper image for file operations 0.4s
=> => resolve docker.io/docker/dockerfile-copy:v0.1.9@sha256:e8f159d3f00786604b93c675ee2783f8dc194bb565e61ca5788f6a6e9d304061 0.7s
=> => sha256:e8f159d3f00786604b93c675ee2783f8dc194bb565e61ca5788f6a6e9d304061 2.03kB / 2.03kB 0.0s
=> => sha256:a546a4352bcaa6512f885d24fef3d9819e70551b98535ed1995e4b567ac6d05b 736B / 736B 0.0s
=> => sha256:494e63343c3f0d392e7af8d718979262baec9496a23e97ad110d62b9c90d6182 766B / 766B 0.0s
=> => sha256:df3b4bed1f63b36992540a09e0d10bd3f9d0b082d50810313841d745d7cce368 898.21kB / 898.21kB 0.2s
=> => sha256:f7b6696c3fee7264ec4486cebe146a6a98aa8d1e46747843107ff473aada8d56 861.00kB / 861.00kB 0.2s
=> => extracting sha256:df3b4bed1f63b36992540a09e0d10bd3f9d0b082d50810313841d745d7cce368 0.1s
=> => extracting sha256:f7b6696c3fee7264ec4486cebe146a6a98aa8d1e46747843107ff473aada8d56 0.1s
=> [1/3] FROM docker.io/library/nginx:latest 0.0s
=> => resolve docker.io/library/nginx:latest 0.0s
=> [internal] load build context 0.0s
=> => transferring context: 34.39kB 0.0s
=> [2/3] COPY wrapper.sh / 0.2s
=> [3/3] COPY html /usr/share/nginx/html 0.2s
=> exporting to image 0.1s
=> => exporting layers 0.0s
=> => writing image sha256:db60ac4c90d7412b8c9f9382711f0d97a9ad9d4a33c05200aa36dc4c935c8cb3 0.0s
=> => naming to docker.io/ajeetraina/hellowhale 0.0s
real 0m1.732s
user 0m0.042s
sys 0m0.019s
~/hellowhale$
Buildkit took just 0m1.732sec compared to 0m6.359sec taken by traditional docker build method.
Below are the list of dozens of enhancements which comes around Buildkit and I shall be discussing these in details in my upcoming blog posts:
- Added support for build-time secrets using a –secret flag when using BuildKit docker/cli#1288
- Added builder prune subcommand to prune BuildKit build cache docker/cli#1295docker/cli#1334
- Adds configurable garbage collection policy for the BuildKit build cache docker/engine#59 / moby/moby#37846
- Adds support for docker build –pull … when using BuildKit moby/moby#37613
- Adds support or “registry-mirrors” and “insecure-registries” when using BuildKit docker/engine#59 / moby/moby#37852
- Enables net modes and bridge. moby/moby#37620
- Changes –console=[auto,false,true] to –progress=[auto,plain,tty]docker/cli#1276
- Sets BuildKit’s ExportedProduct variable to show useful errors in the future. moby/moby#37439
Support for Compose on Kubernetes
Compose on Kubernetes allows you to deploy Docker Compose files onto a Kubernetes cluster. Compose on Kubernetes comes installed on Docker Desktop and Docker Enterprise. On Docker Desktop you will need to activate Kubernetes in the settings to use Compose on Kubernetes.
Check out my last 2 blogs which talks about how Compose on Kubernetes work for Play with Kubernetes & Minikube.
Docker v18.09.1 now exposes Product Info under docker info command
Under Docker v18.09.1 it is now possible to verify if it is an enterprise or community product as shown below:
Process isolation on Windows 10 for the first time
Process-isolation containers were already possible on Windows Server, but for the first time they are now also available on the regular Windows 10 of your laptop. Windows 10–1809 (“October 2018 Update”) + Docker engine 18.09.1 + the Windows 1809 base images from Dockerhub are the first combination that allows you to run “real” Windows containers on Windows 10, without the need of Hyper-v virtualization.
One need to install the Docker Desktop Edge version <IP_ADDRESS> or newer. Please remember that Docker Engine should be at version 18.09.1 or higher.You must select a Windows base image from Dockerhub that matches the kernel of your host’s Windows version. For Windows 10–1809, that’s the :1809version/tag of nanoserver, servercore and windows (or any higher-level image, that builds up on one of these).
Let us run a test container in process-isolation mode by adding the parameter –isolation=process :
docker run --isolation=process mcr.microsoft.com/windows/nanoserver:1809 cmd.exe /c ping 127.0.0.
In case you’re on Windows 10 Build 1706 and try to run the below command, it won’t work as expected. One need to be running atleast 1809 build for smooth operation.
Support for remote connections using SSH
Docker Engine v18.09 offers the possibility for a Docker client to communicate with a remote daemon via ssh. The Docker client communicates usually with the daemon either locally, via the unix socket /var/run/docker.sock, or over a network via a tcp socket. With Docker 18.09.1 you can now SSH to remote Docker host and execute docker CLI flawlessly.
This new connection method between client and engine allows for simple and shared SSH configuration which is far more common and more easily administered that the prior custom CA/certs solution via the docker cli, it is easily done by setting the env var DOCKER_HOST=ssh://hostname or directly on the docker command using the -H parameter as in
docker -H ssh://hostname info
$ docker -H<EMAIL_ADDRESS>run -ti ubuntu echo “hello”
Unable to find image 'ubuntu:latest' locally
latest: Pulling from library/ubuntu
6cf436f81810: Pull complete
987088a85b96: Pull complete
b4624b3efe06: Pull complete
d42beb8ded59: Pull complete
Digest: sha256:7a47ccc3bbe8a451b500d2b53104868b46d60ee8f5
Please note that you might need to configure SSH key based login and run an SSH agent so you only need to enter a passphrase once. Especially if you are on cloud platform you will need SSH passphrase to allow this command to work as it directly doesn’t allow SSH from one cloud instance to another.
Below are further details of features which I am planning to discuss in my upcoming blog posts:
- Added SSH agent socket forwarder (docker build –ssh $SSHMOUNTID=$SSH_AUTH_SOCK) when using BuildKit docker/cli#1438 / docker/cli#1419
- Added –chown flag support for ADD and COPY commands on Windows moby/moby#35521
- Added docker engine subcommand to manage the lifecycle of a Docker Engine running as a privileged container on top of containerd, and to allow upgrades to Docker Engine Enterprise docker/cli#1260
- Added “local” log driver moby/moby#37092
- Configured containerd log-level to be the same as dockerd moby/moby#37419
A Bonus..
Please note that the client and container runtime are now in separate packages from the daemon in Docker Engine 18.09. Users should install and update all three packages at the same time to get the latest patch releases. For example, on Ubuntu:sudo apt install docker-ce docker-ce-cli containerd.io.
Hope you found this blog informative. In case of any query, feel free to drop me a message or join me at DockerLabs
Refer: Top 5 Features of Docker Engine v18.09.1 That You Shouldn’t Miss Out


|
SPHinXsys
alpha version
|
prodict the normal direction of shell particles. More...
#include <relax_dynamics.h>
Inherits SPH::ParticleDynamics< void >.
Classes | |
| class | ConsistencyCorrection |
| class | ConsistencyUpdatedCheck |
| class | NormalPrediction |
| class | PredictionConvergenceCheck |
| class | SmoothingNormal |
Public Member Functions | |
| ShellNormalDirectionPrediction (BaseBodyRelationInner &inner_relation, Real thickness, Real consistency_criterion=cos(Pi/20.0)) | |
| virtual void | exec (Real dt=0.0) override |
| virtual void | parallel_exec (Real dt=0.0) override |
| Public Member Functions inherited from SPH::ParticleDynamics< void > | |
| ParticleDynamics (SPHBody &sph_body) | |
| SPHBody * | getSPHBody () |
Protected Attributes | |
| SimpleDynamics< NormalPrediction > | normal_prediction_ |
| PredictionConvergenceCheck | normal_prediction_convergence_check_ |
| ConsistencyCorrection | consistency_correction_ |
| ConsistencyUpdatedCheck | consistency_updated_check_ |
| SmoothingNormal | smoothing_normal_ |
| Protected Attributes inherited from SPH::ParticleDynamics< void > | |
| SPHBody * | sph_body_ |
| SPHAdaptation * | sph_adaptation_ |
| BaseParticles * | base_particles_ |
Additional Inherited Members | |
| Static Public Attributes inherited from SPH::GlobalStaticVariables | |
| static Real | physical_time_ = 0.0 |
| Protected Member Functions inherited from SPH::ParticleDynamics< void > | |
| void | setBodyUpdated () |
| virtual void | setupDynamics (Real dt=0.0) |
prodict the normal direction of shell particles.
|
overridevirtual |
The only two functions can be called from outside One is for sequential execution, the other is for parallel.
Implements SPH::ParticleDynamics< void >.


Helper to convert existing username-password credentials or directly login+password to a
GitHub personal token.
This helper doesn't store any entered data, but only registers a new token with all scopes needed to plugin.
After token registration, it will be stored as «Secret text» credentials with domain requirements corresponding to
given API URL. It will be available after refreshing the Global Confirmation page.


Our Mission
Handpicked, Artisanally Curated, Free Range, Sustainable, Small Batch, Fair Trade, Organic Teas
Handpicked, Artisanally Curated, Free Range, Sustainable, Small Batch, Fair Trade, Organic Teas
Tea of the Month
What's Steeping at the Tea Cozy?
Locations
Dublin
2 D'Olier Street
Dublin 2
Wicklow
1 Church Road
Killincarrig
Greystones
Galway
22 An Fhaiche Mhor
Second Floor
Galway City


| findLineNum {utils} | R Documentation |
These functions locate objects containing particular lines of source
code, using the information saved when the code was parsed with
keep.source = TRUE
.
findLineNum(srcfile, line, nameonly = TRUE, envir = parent.frame(), lastenv) setBreakpoint(srcfile, line, nameonly = TRUE, envir = parent.frame(), lastenv, verbose = TRUE, tracer, print = FALSE, clear = FALSE, ...)
srcfile |
The name of the file containing the source code. |
line |
The line number within the file. See Details for an alternate way to specify this. |
nameonly |
If |
envir |
Where do we start looking for function objects? |
lastenv |
Where do we stop? See the Details. |
verbose |
Should we print information on where breakpoints were set? |
tracer |
An optional |
print |
The |
clear |
|
... |
Additional arguments to pass to |
The findLineNum
function searches through all objects in
environment envir
, its parent, grandparent, etc., all the way
back to lastenv
.
lastenv
defaults to the global environment if
envir
is not specified, and to the
root environment emptyenv()
if envir
is
specified. (The first default tends to be quite fast, and will
usually find all user code other than S4 methods; the second one is
quite slow, as it will typically search all attached system
libraries.)
For convenience, envir
may be specified indirectly: if it is
not an environment, it will be replaced with
environment(envir)
.
setBreakpoint
is a simple wrapper function for
trace
and untrace
. It will set or clear
breakpoints at the locations found by findLineNum
.
The srcfile
is normally a filename entered as a character
string, but it may be a "srcfile"
object, or it may
include a suffix like "filename.R#nn"
, in which case the number
nn
will be used as a default value for line
.
As described in the description of the where
argument on the
man page for trace
, the R package system uses a
complicated scheme that may include more than one copy of a function
in a package. The user will typically see the public one on the
search path, while code in the package will see a private one in the
package namespace. If you set envir
to the environment of a
function in the package, by default findLineNum
will find both
versions, and setBreakpoint
will set the breakpoint in both.
(This can be controlled using lastenv
; e.g.,
envir = environment(foo)
, lastenv = globalenv()
will find only the private copy, as the search is stopped before
seeing the public copy.)
S version 4 methods are also somewhat tricky to find. They are stored
with the generic function, which may be in the base or other
package, so it is usually necessary to have lastenv = emptyenv()
in order to find them. In some cases transformations are done by R
when storing them and findLineNum
may not be able to find the
original code. Many special cases, e.g. methods on primitive
generics, are not yet supported.
findLineNum
returns a list of objects containing location
information. A print
method is defined for them.
setBreakpoint
has no useful return value; it is called for the
side effect of calling trace
or untrace
.
Duncan Murdoch
## Not run: # Find what function was defined in the file mysource.R at line 100: findLineNum("mysource.R#100") # Set a breakpoint in both copies of that function, assuming one is in the # same namespace as myfunction and the other is on the search path setBreakpoint("mysource.R#100", envir = myfunction) ## End(Not run)


Santa Barbara Featured in Climate Change Article
Brush fire near El Capitan on October 17, 2019 (Photo: CHP)
By an edhat reader
Santa Barbara has been featured in a Washington Post article covering climate change in California.
The article has an interview with the manager of the El Capitan Canyon Campground and how they've been negatively affected by fire and mudslides in the past few years.
Research is showing that our once mild climate is growing hotter, drier, and windier creating intense wildfires, deadly mudslides, and extreme drought. Our area is warming at double the rate of the continental United States.
"Since 1895, the average temperature in Santa Barbara County has warmed by 2.3 degrees Celsius, according to The Post's analysis. Neighboring Ventura County has heated up even more rapidly. With an average temperature increase of 2.6 degrees Celsius since preindustrial times, Ventura ranks as the fastest-warming county in the Lower 48 states," the article states.
It's a very interesting read and I'm curious what other edhatters think. Here's the link to the full article.


beginclip(path)
Using the beginclip() and endclip() commands define a clipping mask. The supplied parameter defines the path to be used as a clipping mask. Each of the shape commands returns a path that can be used with beginclip() - setting the draw parameter of a shape command simply returns the path without actually drawing the shape. Any shapes, paths, texts and images between beginclip() and endclip() are clipped, this means that any part that falls outside the clipping mask path is not drawn.
The beginclip() command has been subsumed into the new clip() command. Rather than calling beginclip() and endclip() to constrain the drawable area, you can call clip() as part of a with
statement.
p = oval(20, 20, 80, 80, plot=False) beginclip(p) image("header.jpg", -130, 0) endclip()


See it: Police rescue kidnapped 8-year-old hiding in laundry basket
by Ben FeuerherdVideo footage captured the moment Texas police officers burst through a hotel room door and rescue a kidnapped 8-year-old girl hiding in a basket of laundry.
The body camera footage released by police shows cops in Fort Worth bang on the door and demand the kidnapper raise his hands when they enter the room.
Once they have the suspect in handcuffs, cops then locate the kidnapped girl, who was in a basket.
“Got her, we got her, we got her,” one of the officer’s yells, according to the video.
The dramatic scene capped a frantic search by police. The 8-year-old who was snatched off a street while walking with her mother on May 18, NBC News reported.
Authorities circulated an image of the suspect’s car and a tipster eventually called 911 when he saw the vehicle in the parking lot of the hotel in suburban Fort Worth, according to the report.
The kidnapper, Michael Webb, was busted for kidnapping and convicted in September.
He was sentenced to life in prison last week.


Name is required
Username is required
Password is required
Confirm password is required
PhoneNumber is required
Email is required


{% extends "base.html" %} {% block content %}
Hi, {{ athlete.firstname }}.
{% if no_teams %}So you are a Strava athlete, we get that. Unfortunately, one of these two things is true:
If the latter is true, try to login again and grant us permission to "View your complete Strava profile".
{{ message }}
{% else %}You are logged-in and have access to otherwise-private activity and athlete data.
{% endif %} {% endblock %}