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[code/ulab] Replaced translations by official documentation

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Laury
2021-09-04 21:23:23 +02:00
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@@ -102,100 +102,6 @@ PythonMonotonic = "Value of a monotonic clock"
PythonNumpyFunction = "numpy module prefix"
PythonNumpyFftFunction = "numpy.fft module prefix"
PythonNumpyLinalgFunction = "numpy.linalg module prefix"
PythonNumpyArray = "Convert an array to ndarray"
PythonNumpyArange = "Make a table from the range (i)"
PythonNumpyConcatenate = "Concatenate a and b"
PythonNumpyDiag = "Extract or construct a diagonal array"
PythonNumpyZeros = "S shape array filled with 0"
PythonNumpyOnes = "S shape array filled with 1"
PythonNumpyEmpty = "Uninitialized array of form s"
PythonNumpyEye = "Table with 1s on the diagonal and 0s elsewhere"
PythonNumpyFull = "S shape array filled with v"
PythonNumpyLinspace = "Numbers spaced over a specified interval"
PythonNumpyLogspace = "Numbers spaced on a logarithmic scale"
PythonNumpyCopy = "Copy of table"
PythonNumpyDtype = "Table type"
PythonNumpyFlat = "Flat array iterator"
PythonNumpyFlatten = "Flattened version of the table"
PythonNumpyShape = "Get the shape of the array"
PythonNumpyReshape = "Replace array shape with s"
PythonNumpySize = "Number of elements in the array"
PythonNumpyTranspose = "Transposed version of the table"
PythonNumpySortWithArguments = "Sorted version of the table"
PythonNumpyNdinfo = "Print information about a"
PythonNumpyAll = "Test if all elements of a are trye"
PythonNumpyAny = "Test if an element of a is true"
PythonNumpyArgmax = "Index of the maximum value of a"
PythonNumpyArgmin = "Subscript of the minimum value of a"
PythonNumpyArgsort = "Clues that would sort an array"
PythonNumpyClip = "Cut values in an array"
PythonNumpyConvolve = "Discrete linear convolution of a and b"
PythonNumpyDiff = "Derived from a"
PythonNumpyInterp = "Linearly interpolated values of a"
PythonNumpyDot = "Dot product of a and b"
PythonNumpyCross = "Cross product of a and b"
PythonNumpyEqual = "A == a element by element"
PythonNumpyNot_equal = "A! = A element by element"
PythonNumpyFlip = "Turnaround table"
PythonNumpyIsfinite = "Test the finiteness element by element"
PythonNumpyIsinf = "Test the infinity element by element"
PythonNumpyMean = "Average d"
PythonNumpyMin = "Maximum value of a"
PythonNumpyMax = "Minimum value of a"
PythonNumpyMedian = "Median value of a"
PythonNumpyMinimum = "Minimum array elements per element"
PythonNumpyMaximum = "Maximum per element of array elements"
PythonNumpyPolyfit = "Least squares polynomial fit"
PythonNumpyPolyval = "Evaluate a polynomial at specific values"
PythonNumpyRoll = "Shift the content of a by n"
PythonNumpySort = "Sort to"
PythonNumpyStd = "Calculate the standard deviation of a"
PythonNumpySum = "Calculate the sum of a"
PythonNumpyTrace = "Calculate the sum of the diagonal elements of a"
PythonNumpyTrapz = "Integrate using the composite trapezoidal ruler"
PythonNumpyWhere = "Returns elements chosen from x or y according to c"
PythonNumpyVectorize = "Vectorize the generic python function f"
PythonNumpyAcos = "Apply acos item by item"
PythonNumpyAcosh = "Apply acosh item by item"
PythonNumpyArctan2 = "Apply arctan2 element by element"
PythonNumpyAround = "Apply around the element"
PythonNumpyAsin = "Apply asin element by element"
PythonNumpyAsinh = "Apply asinh element by element"
PythonNumpyAtan = "Apply one item by item"
PythonNumpyAtanh = "Apply atanh element by element"
PythonNumpyCeil = "Apply the ceiling by element"
PythonNumpyCos = "Apply cos element by element"
PythonNumpyCosh = "Apply cosh element by element"
PythonNumpyDegrees = "Apply degrees element by element"
PythonNumpyExp = "Apply exp per item"
PythonNumpyExpm1 = "Apply expm1 element by element"
PythonNumpyFloor = "Apply soil by element"
PythonNumpyLog = "Apply journal by item"
PythonNumpyLog10 = "Apply log10 element by element"
PythonNumpyLog2 = "Apply log2 element by element"
PythonNumpyRadians = "Apply radians per element"
PythonNumpySin = "Apply sin by element"
PythonNumpySinh = "Apply sinh element by element"
PythonNumpySqrt = "Apply sqrt element by element"
PythonNumpyTan = "Apply the tan by element"
PythonNumpyTanh = "Apply tanh per item"
PythonNumpyBool = "Bool type of numpy"
PythonNumpyFloat = "Float type of numpy"
PythonNumpyUint8 = "Type uint8 of numpy"
PythonNumpyInt8 = "Type int8 of numpy"
PythonNumpyUint16 = "Type uint16 from numpy"
PythonNumpyInt16 = "Type int16 of numpy"
PythonNumpyNan = "Nan representation of numpy"
PythonNumpyInf = "Inf representation of numpy"
PythonNumpyE = "2.718281828459045"
PythonNumpyPi = "3.141592653589793"
PythonNumpyFft = "One-dimensional discrete fourier transform"
PythonNumpyIfft = "One-dimensional inverse discrete fourier transform"
PythonNumpyDet = "Determinant of a"
PythonNumpyEig = "Eigenvalues and right eigenvectors of a"
PythonNumpyCholesky = "Cholesky decomposition"
PythonNumpyInv = "Inverse matrix a"
PythonNumpyNorm = "Matrix or vector standard"
PythonOct = "Convert integer to octal"
PythonPhase = "Phase of z"
PythonPlot = "Plot y versus x as lines"