示例#1
0
def __extend_builtins(globals_):

    # TODO: Is there any advantage to manually duplicate __builtins__, instead of passing our own?

    globals_['__builtins__'] = python

    # Add `pythonect.lang` to Python's `__builtins__`

    for name in dir(lang):

        # i.e. __builtins__.print_ = pythonect.lang.print_

        setattr(globals_['__builtins__'], name, getattr(lang, name))

    # Add GIL

    setattr(globals_['__builtins__'], '__GIL__', global_interpreter_lock)

    # Fix "copyright", "credits", and "license"

    setattr(globals_['__builtins__'], 'copyright', site._Printer("copyright", "Copyright (c) 2012-2013 by Itzik Kotler and others.\nAll Rights Reserved."))
    setattr(globals_['__builtins__'], 'credits', site._Printer("credits", "See www.pythonect.org for more information."))
    setattr(globals_['__builtins__'], 'license', site._Printer("license", "See https://github.com/ikotler/pythonect/blob/master/LICENSE", ["LICENSE"], [os.path.abspath(__file__ + "/../../../")]))

    # Map eval() to Pythonect's eval, and __eval__ to Python's eval

    globals_['__eval__'] = getattr(globals_['__builtins__'], 'eval')
    globals_['eval'] = eval

    return globals_
示例#2
0
def __extend_builtins(globals_):

    # TODO: Is there any advantage to manually duplicate __builtins__, instead of passing our own?

    globals_['__builtins__'] = python

    # Add `pythonect.lang` to Python's `__builtins__`

    for name in dir(lang):

        # i.e. __builtins__.print_ = pythonect.lang.print_

        setattr(globals_['__builtins__'], name, getattr(lang, name))

    # Add GIL

    setattr(globals_['__builtins__'], '__GIL__', global_interpreter_lock)

    # Fix "copyright", "credits", and "license"

    setattr(
        globals_['__builtins__'], 'copyright',
        site._Printer(
            "copyright",
            "Copyright (c) 2012-2013 by Itzik Kotler and others.\nAll Rights Reserved."
        ))
    setattr(
        globals_['__builtins__'], 'credits',
        site._Printer("credits",
                      "See www.pythonect.org for more information."))
    setattr(
        globals_['__builtins__'], 'license',
        site._Printer(
            "license",
            "See https://github.com/ikotler/pythonect/blob/master/LICENSE",
            ["LICENSE"], [os.path.abspath(__file__ + "/../../../")]))

    # Map eval() to Pythonect's eval, and __eval__ to Python's eval

    globals_['__eval__'] = getattr(globals_['__builtins__'], 'eval')
    globals_['eval'] = eval

    # Default `iterate_literal_arrays`

    if not '__ITERATE_LITERAL_ARRAYS__' in globals_:

        globals_['__ITERATE_LITERAL_ARRAYS__'] = True

    return globals_
def setscientific():
    """Set 'scientific' in __builtin__"""
    import __builtin__
    from site import _Printer
    infos = """\
This is a standard Python interpreter with preloaded tools for scientific 
computing and visualization:

>>> import numpy as np  # NumPy (multidimensional arrays, linear algebra, ...)
>>> import scipy as sp  # SciPy (signal and image processing library)

>>> import matplotlib as mpl         # Matplotlib (2D/3D plotting library)
>>> import matplotlib.pyplot as plt  # Matplotlib's pyplot: MATLAB-like syntax
>>> from pylab import *              # Matplotlib's pylab interface
>>> ion()                            # Turned on Matplotlib's interactive mode
"""
    try:
        import guiqwt  #analysis:ignore
        infos += """
>>> import guidata  # GUI generation for easy dataset editing and display

>>> import guiqwt                 # Efficient 2D data-plotting features
>>> import guiqwt.pyplot as plt_  # guiqwt's pyplot: MATLAB-like syntax
>>> plt_.ion()                    # Turned on guiqwt's interactive mode
"""
    except ImportError:
        pass
    infos += """
Within Spyder, this interpreter also provides:
    * special commands (e.g. %ls, %pwd, %clear)
    * system commands, i.e. all commands starting with '!' are subprocessed
      (e.g. !dir on Windows or !ls on Linux, and so on)
"""
    __builtin__.scientific = _Printer("scientific", infos)
def setscientific():
    """Set 'scientific' in __builtin__"""
    infos = ""
    
    if __has_numpy:
        infos += """
This is a standard Python interpreter with preloaded tools for scientific 
computing and visualization. It tries to import the following modules:

>>> import numpy as np  # NumPy (multidimensional arrays, linear algebra, ...)"""

    if __has_scipy:
        infos += """
>>> import scipy as sp  # SciPy (signal and image processing library)"""

    if __has_matplotlib:
        infos += """
>>> import matplotlib as mpl         # Matplotlib (2D/3D plotting library)
>>> import matplotlib.pyplot as plt  # Matplotlib's pyplot: MATLAB-like syntax
>>> from pylab import *              # Matplotlib's pylab interface
>>> ion()                            # Turned on Matplotlib's interactive mode"""
    
    try:
        import guiqwt  #analysis:ignore
        infos += """
>>> import guidata  # GUI generation for easy dataset editing and display

>>> import guiqwt                 # Efficient 2D data-plotting features
>>> import guiqwt.pyplot as plt_  # guiqwt's pyplot: MATLAB-like syntax
>>> plt_.ion()                    # Turned on guiqwt's interactive mode"""
    except ImportError:
        pass
    
    if __has_numpy:
        infos += "\n"

    infos += """
Within Spyder, this interpreter also provides:
    * special commands (e.g. %ls, %cd, %pwd, %clear)
      - %ls:      List files in the current directory
      - %cd dir:  Change to directory dir
      - %pwd:     Show current directory
      - %clear x: Remove variable x from namespace
"""
    try:
        # Python 2
        import __builtin__ as builtins
    except ImportError:
        # Python 3
        import builtins
    try:
        from site import _Printer
    except ImportError:
        # Python 3.4
        from _sitebuiltins import _Printer
    builtins.scientific = _Printer("scientific", infos)
def setscientific():
    """Set 'scientific' in __builtin__"""
    infos = ""

    if __has_numpy:
        infos += """
This is a standard Python interpreter with preloaded tools for scientific 
computing and visualization. It tries to import the following modules:

>>> import numpy as np  # NumPy (multidimensional arrays, linear algebra, ...)"""

    if __has_scipy:
        infos += """
>>> import scipy as sp  # SciPy (signal and image processing library)"""

    if __has_matplotlib:
        infos += """
>>> import matplotlib as mpl         # Matplotlib (2D/3D plotting library)
>>> import matplotlib.pyplot as plt  # Matplotlib's pyplot: MATLAB-like syntax
>>> from pylab import *              # Matplotlib's pylab interface
>>> ion()                            # Turned on Matplotlib's interactive mode"""

    try:
        import guiqwt  #analysis:ignore
        infos += """
>>> import guidata  # GUI generation for easy dataset editing and display

>>> import guiqwt                 # Efficient 2D data-plotting features
>>> import guiqwt.pyplot as plt_  # guiqwt's pyplot: MATLAB-like syntax
>>> plt_.ion()                    # Turned on guiqwt's interactive mode"""
    except ImportError:
        pass

    if __has_numpy:
        infos += "\n"

    infos += """
Within Spyder, this interpreter also provides:
    * special commands (e.g. %ls, %cd, %pwd, %clear)
      - %ls:      List files in the current directory
      - %cd dir:  Change to directory dir
      - %pwd:     Show current directory
      - %clear x: Remove variable x from namespace
"""
    try:
        # Python 2
        import __builtin__ as builtins
    except ImportError:
        # Python 3
        import builtins
    try:
        from site import _Printer
    except ImportError:
        # Python 3.4
        from _sitebuiltins import _Printer
    builtins.scientific = _Printer("scientific", infos)
示例#6
0
def setscientific():
    """Set 'scientific' in __builtin__"""
    import __builtin__
    from site import _Printer
    infos = ""

    if __has_numpy:
        infos += """
This is a standard Python interpreter with preloaded tools for scientific 
computing and visualization. It tries to import the following modules:

>>> import numpy as np  # NumPy (multidimensional arrays, linear algebra, ...)"""

    if __has_scipy:
        infos += """
>>> import scipy as sp  # SciPy (signal and image processing library)"""

    if __has_matplotlib:
        infos += """
>>> import matplotlib as mpl         # Matplotlib (2D/3D plotting library)
>>> import matplotlib.pyplot as plt  # Matplotlib's pyplot: MATLAB-like syntax
>>> from pylab import *              # Matplotlib's pylab interface
>>> ion()                            # Turned on Matplotlib's interactive mode"""

    try:
        import guiqwt  #analysis:ignore
        infos += """
>>> import guidata  # GUI generation for easy dataset editing and display

>>> import guiqwt                 # Efficient 2D data-plotting features
>>> import guiqwt.pyplot as plt_  # guiqwt's pyplot: MATLAB-like syntax
>>> plt_.ion()                    # Turned on guiqwt's interactive mode"""
    except ImportError:
        pass

    if __has_numpy:
        infos += "\n"

    infos += """
Within Spyder, this interpreter also provides:
    * special commands (e.g. %ls, %pwd, %clear)
    * system commands, i.e. all commands starting with '!' are subprocessed
      (e.g. !dir on Windows or !ls on Linux, and so on)
"""
    __builtin__.scientific = _Printer("scientific", infos)