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rfk/playitagainsam | playitagainsam/util.py | forkexec_pty | def forkexec_pty(argv, env=None, size=None):
"""Fork a child process attached to a pty."""
child_pid, child_fd = pty.fork()
if child_pid == 0:
os.closerange(3, MAXFD)
environ = os.environ.copy()
if env is not None:
environ.update(env)
os.execve(argv[0], argv, envi... | python | def forkexec_pty(argv, env=None, size=None):
"""Fork a child process attached to a pty."""
child_pid, child_fd = pty.fork()
if child_pid == 0:
os.closerange(3, MAXFD)
environ = os.environ.copy()
if env is not None:
environ.update(env)
os.execve(argv[0], argv, envi... | [
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rfk/playitagainsam | playitagainsam/util.py | get_ancestor_processes | def get_ancestor_processes():
"""Get a list of the executables of all ancestor processes."""
if not _ANCESTOR_PROCESSES and psutil is not None:
proc = psutil.Process(os.getpid())
while proc.parent() is not None:
try:
_ANCESTOR_PROCESSES.append(proc.parent().exe())
... | python | def get_ancestor_processes():
"""Get a list of the executables of all ancestor processes."""
if not _ANCESTOR_PROCESSES and psutil is not None:
proc = psutil.Process(os.getpid())
while proc.parent() is not None:
try:
_ANCESTOR_PROCESSES.append(proc.parent().exe())
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rfk/playitagainsam | playitagainsam/util.py | get_default_shell | def get_default_shell(environ=None, fallback=_UNSPECIFIED):
"""Get the user's default shell program."""
if environ is None:
environ = os.environ
# If the option is specified in the environment, respect it.
if "PIAS_OPT_SHELL" in environ:
return environ["PIAS_OPT_SHELL"]
# Find all ca... | python | def get_default_shell(environ=None, fallback=_UNSPECIFIED):
"""Get the user's default shell program."""
if environ is None:
environ = os.environ
# If the option is specified in the environment, respect it.
if "PIAS_OPT_SHELL" in environ:
return environ["PIAS_OPT_SHELL"]
# Find all ca... | [
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rfk/playitagainsam | playitagainsam/util.py | get_default_terminal | def get_default_terminal(environ=None, fallback=_UNSPECIFIED):
"""Get the user's default terminal program."""
if environ is None:
environ = os.environ
# If the option is specified in the environment, respect it.
if "PIAS_OPT_TERMINAL" in environ:
return environ["PIAS_OPT_TERMINAL"]
#... | python | def get_default_terminal(environ=None, fallback=_UNSPECIFIED):
"""Get the user's default terminal program."""
if environ is None:
environ = os.environ
# If the option is specified in the environment, respect it.
if "PIAS_OPT_TERMINAL" in environ:
return environ["PIAS_OPT_TERMINAL"]
#... | [
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rfk/playitagainsam | playitagainsam/util.py | get_pias_script | def get_pias_script(environ=None):
"""Get the path to the playitagainsam command-line script."""
if os.path.basename(sys.argv[0]) == "pias":
return sys.argv[0]
filepath = find_executable("pias", environ)
if filepath is not None:
return filepath
filepath = os.path.join(os.path.dirname... | python | def get_pias_script(environ=None):
"""Get the path to the playitagainsam command-line script."""
if os.path.basename(sys.argv[0]) == "pias":
return sys.argv[0]
filepath = find_executable("pias", environ)
if filepath is not None:
return filepath
filepath = os.path.join(os.path.dirname... | [
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ponty/eagexp | eagexp/airwires.py | airwires | def airwires(board, showgui=0):
'search for airwires in eagle board'
board = Path(board).expand().abspath()
file_out = tempfile.NamedTemporaryFile(suffix='.txt', delete=0)
file_out.close()
ulp = ulp_templ.replace('FILE_NAME', file_out.name)
file_ulp = tempfile.NamedTemporaryFile(suffix='.ulp'... | python | def airwires(board, showgui=0):
'search for airwires in eagle board'
board = Path(board).expand().abspath()
file_out = tempfile.NamedTemporaryFile(suffix='.txt', delete=0)
file_out.close()
ulp = ulp_templ.replace('FILE_NAME', file_out.name)
file_ulp = tempfile.NamedTemporaryFile(suffix='.ulp'... | [
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SUNCAT-Center/CatHub | cathub/cathubsqlite.py | CathubSQLite._initialize | def _initialize(self, con):
"""Set up tables in SQL"""
if self.initialized:
return
SQLite3Database()._initialize(con) # ASE db initialization
cur = con.execute(
'SELECT COUNT(*) FROM sqlite_master WHERE name="reaction"')
if cur.fetchone()[0] == 0: # n... | python | def _initialize(self, con):
"""Set up tables in SQL"""
if self.initialized:
return
SQLite3Database()._initialize(con) # ASE db initialization
cur = con.execute(
'SELECT COUNT(*) FROM sqlite_master WHERE name="reaction"')
if cur.fetchone()[0] == 0: # n... | [
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SUNCAT-Center/CatHub | cathub/cathubsqlite.py | CathubSQLite.write_publication | def write_publication(self, values):
"""
Write publication info to db
Parameters
----------
values: dict with entries
{'pub_id': str (short name for publication),
'authors': list of str ()
'journal': str,
'volume': str,
... | python | def write_publication(self, values):
"""
Write publication info to db
Parameters
----------
values: dict with entries
{'pub_id': str (short name for publication),
'authors': list of str ()
'journal': str,
'volume': str,
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SUNCAT-Center/CatHub | cathub/cathubsqlite.py | CathubSQLite.write | def write(self, values, data=None):
"""
Write reaction info to db file
Parameters
----------
values: dict
The values dict can include:
{'chemical_composition': str (chemical composition on empty slab) ,
'surface_composition': str (reduced chemical compos... | python | def write(self, values, data=None):
"""
Write reaction info to db file
Parameters
----------
values: dict
The values dict can include:
{'chemical_composition': str (chemical composition on empty slab) ,
'surface_composition': str (reduced chemical compos... | [
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SUNCAT-Center/CatHub | cathub/cathubsqlite.py | CathubSQLite.update | def update(self, id, values, key_names='all'):
"""
Update reaction info for a selected row
Parameters
----------
id: int
row integer
values: dict
See write() method for details
key_names: list or 'all'
list with name of columns... | python | def update(self, id, values, key_names='all'):
"""
Update reaction info for a selected row
Parameters
----------
id: int
row integer
values: dict
See write() method for details
key_names: list or 'all'
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SUNCAT-Center/CatHub | cathub/cathubsqlite.py | CathubSQLite.get_last_id | def get_last_id(self, cur, table='reaction'):
"""
Get the id of the last written row in table
Parameters
----------
cur: database connection().cursor() object
table: str
'reaction', 'publication', 'publication_system', 'reaction_system'
Returns: id
... | python | def get_last_id(self, cur, table='reaction'):
"""
Get the id of the last written row in table
Parameters
----------
cur: database connection().cursor() object
table: str
'reaction', 'publication', 'publication_system', 'reaction_system'
Returns: id
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guaix-ucm/numina | numina/array/wavecalib/__main__.py | read_wv_master_from_array | def read_wv_master_from_array(master_table, lines='brightest', debugplot=0):
"""read arc line wavelengths from numpy array
Parameters
----------
master_table : Numpy array
Numpy array containing the wavelength database.
lines : string
Indicates which lines to read. For files with a ... | python | def read_wv_master_from_array(master_table, lines='brightest', debugplot=0):
"""read arc line wavelengths from numpy array
Parameters
----------
master_table : Numpy array
Numpy array containing the wavelength database.
lines : string
Indicates which lines to read. For files with a ... | [
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guaix-ucm/numina | numina/array/wavecalib/__main__.py | read_wv_master_file | def read_wv_master_file(wv_master_file, lines='brightest', debugplot=0):
"""read arc line wavelengths from external file.
Parameters
----------
wv_master_file : string
File name of txt file containing the wavelength database.
lines : string
Indicates which lines to read. For files w... | python | def read_wv_master_file(wv_master_file, lines='brightest', debugplot=0):
"""read arc line wavelengths from external file.
Parameters
----------
wv_master_file : string
File name of txt file containing the wavelength database.
lines : string
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guaix-ucm/numina | numina/array/wavecalib/__main__.py | wvcal_spectrum | def wvcal_spectrum(sp, fxpeaks, poly_degree_wfit, wv_master,
wv_ini_search=None, wv_end_search=None,
wvmin_useful=None, wvmax_useful=None,
geometry=None, debugplot=0):
"""Execute wavelength calibration of a spectrum using fixed line peaks.
Parameters
... | python | def wvcal_spectrum(sp, fxpeaks, poly_degree_wfit, wv_master,
wv_ini_search=None, wv_end_search=None,
wvmin_useful=None, wvmax_useful=None,
geometry=None, debugplot=0):
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Parameters
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chhantyal/sorl-thumbnail-async | thumbnail/__init__.py | get_thumbnail | def get_thumbnail(file_, name):
"""
get_thumbnail version that uses aliasses defined in THUMBNAIL_OPTIONS_DICT
"""
options = settings.OPTIONS_DICT[name]
opt = copy(options)
geometry = opt.pop('geometry')
return original_get_thumbnail(file_, geometry, **opt) | python | def get_thumbnail(file_, name):
"""
get_thumbnail version that uses aliasses defined in THUMBNAIL_OPTIONS_DICT
"""
options = settings.OPTIONS_DICT[name]
opt = copy(options)
geometry = opt.pop('geometry')
return original_get_thumbnail(file_, geometry, **opt) | [
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xflr6/bitsets | bitsets/__init__.py | bitset | def bitset(name, members, base=bases.BitSet, list=False, tuple=False):
"""Return a new bitset class with given name and members.
Args:
name: Name of the class to be created.
members: Hashable sequence of allowed bitset members.
base: Base class to derive the returned class from.
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name: Name of the class to be created.
members: Hashable sequence of allowed bitset members.
base: Base class to derive the returned class from.
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guaix-ucm/numina | numina/array/interpolation.py | SteffenInterpolator._extrapolation | def _extrapolation(self, extrapolate):
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modes = ['extrapolate',
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guaix-ucm/numina | numina/array/interpolation.py | SteffenInterpolator._create_h | def _create_h(x):
"""increase between samples"""
h = np.zeros_like(x)
h[:-1] = x[1:] - x[:-1]
# border
h[-1] = h[-2]
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"""increase between samples"""
h = np.zeros_like(x)
h[:-1] = x[1:] - x[:-1]
# border
h[-1] = h[-2]
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guaix-ucm/numina | numina/array/interpolation.py | SteffenInterpolator._extrapolate | def _extrapolate(self, result, v, below_bounds, above_bounds, der):
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guaix-ucm/numina | numina/array/interpolation.py | SteffenInterpolator._check_bounds | def _check_bounds(self, v):
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------
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guaix-ucm/numina | numina/array/wavecalib/crosscorrelation.py | filtmask | def filtmask(sp, fmin=0.02, fmax=0.15, debugplot=0):
"""Filter spectrum in Fourier space and apply cosine bell.
Parameters
----------
sp : numpy array
Spectrum to be filtered and masked.
fmin : float
Minimum frequency to be employed.
fmax : float
Maximum frequency to be ... | python | def filtmask(sp, fmin=0.02, fmax=0.15, debugplot=0):
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sp : numpy array
Spectrum to be filtered and masked.
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guaix-ucm/numina | numina/array/wavecalib/crosscorrelation.py | cosinebell | def cosinebell(n, fraction):
"""Return a cosine bell spanning n pixels, masking a fraction of pixels
Parameters
----------
n : int
Number of pixels.
fraction : float
Length fraction over which the data will be masked.
"""
mask = np.ones(n)
nmasked = int(fraction * n)
... | python | def cosinebell(n, fraction):
"""Return a cosine bell spanning n pixels, masking a fraction of pixels
Parameters
----------
n : int
Number of pixels.
fraction : float
Length fraction over which the data will be masked.
"""
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guaix-ucm/numina | numina/array/wavecalib/crosscorrelation.py | convolve_comb_lines | def convolve_comb_lines(lines_wave, lines_flux, sigma,
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"""Convolve a set of lines of known wavelengths and flux.
Parameters
----------
lines_wave : array like
Input array with wavelengths
lines_flux : array like
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inspirehep/inspire-schemas | inspire_schemas/builders/references.py | _split_refextract_authors_str | def _split_refextract_authors_str(authors_str):
"""Extract author names out of refextract authors output."""
author_seq = (x.strip() for x in RE_SPLIT_AUTH.split(authors_str) if x)
res = []
current = ''
for author in author_seq:
if not isinstance(author, six.text_type):
author =... | python | def _split_refextract_authors_str(authors_str):
"""Extract author names out of refextract authors output."""
author_seq = (x.strip() for x in RE_SPLIT_AUTH.split(authors_str) if x)
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current = ''
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inspirehep/inspire-schemas | inspire_schemas/builders/references.py | ReferenceBuilder._set_publication_info_field | def _set_publication_info_field(self, field_name, value):
"""Put a value in the publication info of the reference."""
self._ensure_reference_field('publication_info', {})
self.obj['reference']['publication_info'][field_name] = value | python | def _set_publication_info_field(self, field_name, value):
"""Put a value in the publication info of the reference."""
self._ensure_reference_field('publication_info', {})
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inspirehep/inspire-schemas | inspire_schemas/builders/references.py | ReferenceBuilder.set_pubnote | def set_pubnote(self, pubnote):
"""Parse pubnote and populate correct fields."""
if 'publication_info' in self.obj.get('reference', {}):
self.add_misc(u'Additional pubnote: {}'.format(pubnote))
return
if self.RE_VALID_PUBNOTE.match(pubnote):
pubnote = split_p... | python | def set_pubnote(self, pubnote):
"""Parse pubnote and populate correct fields."""
if 'publication_info' in self.obj.get('reference', {}):
self.add_misc(u'Additional pubnote: {}'.format(pubnote))
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inspirehep/inspire-schemas | inspire_schemas/builders/references.py | ReferenceBuilder._add_uid | def _add_uid(self, uid, skip_handle=False):
"""Add unique identifier in correct field.
The ``skip_handle`` flag is used when adding a uid through the add_url function
since urls can be easily confused with handle elements.
"""
# We might add None values from wherever. Kill them ... | python | def _add_uid(self, uid, skip_handle=False):
"""Add unique identifier in correct field.
The ``skip_handle`` flag is used when adding a uid through the add_url function
since urls can be easily confused with handle elements.
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inspirehep/inspire-schemas | inspire_schemas/builders/references.py | ReferenceBuilder.set_page_artid | def set_page_artid(self, page_start=None, page_end=None, artid=None):
"""Add artid, start, end pages to publication info of a reference.
Args:
page_start(Optional[string]): value for the field page_start
page_end(Optional[string]): value for the field page_end
artid(... | python | def set_page_artid(self, page_start=None, page_end=None, artid=None):
"""Add artid, start, end pages to publication info of a reference.
Args:
page_start(Optional[string]): value for the field page_start
page_end(Optional[string]): value for the field page_end
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pylp/pylp | pylp/utils/glob.py | separate_globs | def separate_globs(globs):
"""Separate include and exclude globs."""
exclude = []
include = []
for path in globs:
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exclude.append(path[1:])
else:
include.append(path)
return (exclude, include) | python | def separate_globs(globs):
"""Separate include and exclude globs."""
exclude = []
include = []
for path in globs:
if path.startswith("!"):
exclude.append(path[1:])
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guaix-ucm/numina | numina/array/wavecalib/check_wlcalib.py | fun_wv | def fun_wv(xchannel, crpix1, crval1, cdelt1):
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----------
xchannel : numpy array
Input channels where the wavelengths will be evaluated.
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"""Compute wavelengths from channels.
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guaix-ucm/numina | numina/array/wavecalib/check_wlcalib.py | update_poly_wlcalib | def update_poly_wlcalib(coeff_ini, coeff_residuals, naxis1_ini, debugplot):
"""Update wavelength calibration polynomial using the residuals fit.
The idea is to repeat the original fit using the information
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guaix-ucm/numina | numina/core/metarecipes.py | generate_docs | def generate_docs(klass):
"""Add documentation to generated classes"""
import numina.types.datatype
attrh = ('Attributes\n'
'----------\n')
doc = getattr(klass, '__doc__', None)
if doc is None or doc == '':
doc = "%s documentation." % klass.__name__
if len(klass.stored()... | python | def generate_docs(klass):
"""Add documentation to generated classes"""
import numina.types.datatype
attrh = ('Attributes\n'
'----------\n')
doc = getattr(klass, '__doc__', None)
if doc is None or doc == '':
doc = "%s documentation." % klass.__name__
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xflr6/bitsets | bitsets/integers.py | reinverted | def reinverted(n, r):
"""Integer with reversed and inverted bits of n assuming bit length r.
>>> reinverted(1, 6)
31
>>> [reinverted(x, 6) for x in [7, 11, 13, 14, 19, 21, 22, 25, 26, 28]]
[7, 11, 19, 35, 13, 21, 37, 25, 41, 49]
"""
result = 0
r = 1 << (r - 1)
while n:
if n... | python | def reinverted(n, r):
"""Integer with reversed and inverted bits of n assuming bit length r.
>>> reinverted(1, 6)
31
>>> [reinverted(x, 6) for x in [7, 11, 13, 14, 19, 21, 22, 25, 26, 28]]
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xflr6/bitsets | bitsets/integers.py | rank | def rank(items, sequence=string.ascii_lowercase):
"""Rank items from sequence in colexicographical order.
>>> [rank(i) for i in ('', 'a', 'b', 'ab', 'c')]
[0, 1, 2, 3, 4]
>>> rank('spam')
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items = set(items)
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"""Rank items from sequence in colexicographical order.
>>> [rank(i) for i in ('', 'a', 'b', 'ab', 'c')]
[0, 1, 2, 3, 4]
>>> rank('spam')
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return list(map(sequence.__getitem__, indexes(n))) | python | def unrank(n, sequence=string.ascii_lowercase):
"""Unrank n from sequence in colexicographical order.
>>> [''.join(unrank(i)) for i in range(8)]
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guaix-ucm/numina | numina/array/background.py | background_estimator | def background_estimator(bdata):
"""Estimate the background in a 2D array"""
crowded = False
std = numpy.std(bdata)
std0 = std
mean = bdata.mean()
while True:
prep = len(bdata)
numpy.clip(bdata, mean - 3 * std, mean + 3 * std, out=bdata)
if prep == len(bdata):
... | python | def background_estimator(bdata):
"""Estimate the background in a 2D array"""
crowded = False
std = numpy.std(bdata)
std0 = std
mean = bdata.mean()
while True:
prep = len(bdata)
numpy.clip(bdata, mean - 3 * std, mean + 3 * std, out=bdata)
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guaix-ucm/numina | numina/array/background.py | create_background_map | def create_background_map(data, bsx, bsy):
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mx = sx // bsx
my = sy // bsy
comp = []
rms = []
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sp = numpy.split(data, numpy.arange(bsx, sx, bsx), axis=0)
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# Columns
rp = numpy.spl... | python | def create_background_map(data, bsx, bsy):
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sx, sy = data.shape
mx = sx // bsx
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comp = []
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ckan/losser | losser/losser.py | _read_columns_file | def _read_columns_file(f):
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:param f: path to the file to read
:type f: string
:rtype: list of dicts
"""
try:
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ckan/losser | losser/losser.py | _table_to_csv | def _table_to_csv(table_):
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:type table: list of OrderedDicts each with the same keys in the same
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:rtype: UTF8-encoded, CSV-formatted string
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"""Return the given table converted to a CSV string.
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:type dicts: list of dicts
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ckan/losser | losser/losser.py | query | def query(pattern_path, dict_, max_length=None, strip=False,
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SUNCAT-Center/CatHub | cathub/query.py | get_reactions | def get_reactions(columns='all', n_results=20, write_db=False, **kwargs):
"""
Get reactions from server
Give key value strings as arguments
"""
if write_db or columns == 'all':
columns = all_columns['reactions']
queries = {}
for key, value in kwargs.items():
key = map_column... | python | def get_reactions(columns='all', n_results=20, write_db=False, **kwargs):
"""
Get reactions from server
Give key value strings as arguments
"""
if write_db or columns == 'all':
columns = all_columns['reactions']
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guaix-ucm/numina | numina/user/baserun.py | create_recipe_file_logger | def create_recipe_file_logger(logger, logfile, logformat):
"""Redirect Recipe log messages to a file."""
recipe_formatter = logging.Formatter(logformat)
fh = logging.FileHandler(logfile, mode='w')
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"""Redirect Recipe log messages to a file."""
recipe_formatter = logging.Formatter(logformat)
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fh.setLevel(logging.DEBUG)
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guaix-ucm/numina | numina/user/baserun.py | run_recipe | def run_recipe(recipe, task, rinput, workenv, logger_control):
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# Creating custom logger file
recipe_logger = logging.getLogger(logger_control['default'])
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"""Recipe execution mode of numina."""
# Creating custom logger file
recipe_logger = logging.getLogger(logger_control['default'])
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guaix-ucm/numina | numina/user/baserun.py | run_recipe_timed | def run_recipe_timed(task, recipe, rinput):
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_logger.info('running recipe')
now1 = datetime.datetime.now()
task.state = 1
task.time_start = now1
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task.result = result
#
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"""Run the recipe and count the time it takes."""
_logger.info('running recipe')
now1 = datetime.datetime.now()
task.state = 1
task.time_start = now1
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result = recipe(rinput)
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task.result = result
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kyzima-spb/flask-pony | flask_pony/__init__.py | stop_db_session | def stop_db_session(exc=None):
"""Stops the last db_session"""
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if has_db_session():
exc_type = None
tb = None
if exc:
exc_type, exc, tb = get_exc_info(exc)
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exc_type = None
tb = None
if exc:
exc_type, exc, tb = get_exc_info(exc)
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pylp/pylp | pylp/lib/dest.py | get_path | def get_path(dest, file, cwd = None):
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"""Get the writing path of a file."""
if callable(dest):
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if not os.path.isabs(dest):
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SUNCAT-Center/CatHub | cathub/tools.py | get_pub_id | def get_pub_id(title, authors, year):
"construct publication id"
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_first_word = title.split(' ')[1].split('_')[0]
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_first_word = title.split(' ')[0].split('_')[0]
pub_id = authors[0].split(',')[0]... | python | def get_pub_id(title, authors, year):
"construct publication id"
if len(title.split(' ')) > 1 \
and title.split(' ')[0].lower() in ['the', 'a']:
_first_word = title.split(' ')[1].split('_')[0]
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SUNCAT-Center/CatHub | cathub/tools.py | extract_atoms | def extract_atoms(molecule):
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try:
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except BaseException:
pass
atoms = ''
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"""Return a string with all atoms in molecule"""
if molecule == '':
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pass
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SUNCAT-Center/CatHub | cathub/tools.py | check_reaction | def check_reaction(reactants, products):
"""Check the stoichiometry and format of chemical reaction used for
folder structure.
list of reactants -> list of products
"""
reactant_list = [reactant.split('@')[0].strip(
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product_list = [product.... | python | def check_reaction(reactants, products):
"""Check the stoichiometry and format of chemical reaction used for
folder structure.
list of reactants -> list of products
"""
reactant_list = [reactant.split('@')[0].strip(
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guaix-ucm/numina | numina/core/pipelineload.py | check_section | def check_section(node, section, keys=None):
"""Validate keys in a section"""
if keys:
for key in keys:
if key not in node:
raise ValueError('Missing key %r inside %r node' % (key, section)) | python | def check_section(node, section, keys=None):
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guaix-ucm/numina | numina/core/pipelineload.py | drp_load | def drp_load(package, resource, confclass=None):
"""Load the DRPS from a resource file."""
data = pkgutil.get_data(package, resource)
return drp_load_data(package, data, confclass=confclass) | python | def drp_load(package, resource, confclass=None):
"""Load the DRPS from a resource file."""
data = pkgutil.get_data(package, resource)
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guaix-ucm/numina | numina/core/pipelineload.py | drp_load_data | def drp_load_data(package, data, confclass=None):
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drpdict = yaml.safe_load(data)
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guaix-ucm/numina | numina/core/pipelineload.py | load_modes | def load_modes(node):
"""Load all observing modes"""
if isinstance(node, list):
values = [load_mode(child) for child in node]
keys = [mode.key for mode in values]
return dict(zip(keys,values))
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values = {key: load_mode(child) for key, child in node... | python | def load_modes(node):
"""Load all observing modes"""
if isinstance(node, list):
values = [load_mode(child) for child in node]
keys = [mode.key for mode in values]
return dict(zip(keys,values))
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guaix-ucm/numina | numina/core/pipelineload.py | load_mode | def load_mode(node):
"""Load one observing mdode"""
obs_mode = ObservingMode()
obs_mode.__dict__.update(node)
# handle validator
load_mode_validator(obs_mode, node)
# handle builder
load_mode_builder(obs_mode, node)
# handle tagger:
load_mode_tagger(obs_mode, node)
return obs... | python | def load_mode(node):
"""Load one observing mdode"""
obs_mode = ObservingMode()
obs_mode.__dict__.update(node)
# handle validator
load_mode_validator(obs_mode, node)
# handle builder
load_mode_builder(obs_mode, node)
# handle tagger:
load_mode_tagger(obs_mode, node)
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guaix-ucm/numina | numina/core/pipelineload.py | load_mode_tagger | def load_mode_tagger(obs_mode, node):
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guaix-ucm/numina | numina/core/pipelineload.py | load_mode_builder | def load_mode_builder(obs_mode, node):
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guaix-ucm/numina | numina/core/pipelineload.py | load_mode_validator | def load_mode_validator(obs_mode, node):
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arkottke/pysra | pysra/output.py | append_arrays | def append_arrays(many, single):
"""Append an array to another padding with NaNs for constant length.
Parameters
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values appended to a copy of this array. This may be a 1-D or 2-D
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values to appen... | python | def append_arrays(many, single):
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Parameters
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arkottke/pysra | pysra/output.py | RatioBasedOutput._get_locations | def _get_locations(self, calc):
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"""Locate locations within the profile."""
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guaix-ucm/numina | numina/array/wavecalib/fix_pix_borders.py | find_pix_borders | def find_pix_borders(sp, sought_value):
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Detemine the useful region of a given spectrum by skipping
the initial (final) pixels with values equal to 'sought_value'.
Parameters
----------
sp : 1D numpy array
Input spectrum.
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sp : 1D numpy array
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guaix-ucm/numina | numina/array/wavecalib/fix_pix_borders.py | fix_pix_borders | def fix_pix_borders(image2d, nreplace, sought_value, replacement_value):
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guaix-ucm/numina | numina/array/wavecalib/fix_pix_borders.py | define_mask_borders | def define_mask_borders(image2d, sought_value, nadditional=0):
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Set to True image borders with values equal to 'sought_value'
Parameters
----------
image2d : numpy array
Initial 2D image.
sought_value : int, float, bool
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"""Generate mask avoiding undesired values at the borders.
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image2d : numpy array
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guaix-ucm/numina | numina/array/wavecalib/solutionarc.py | SolutionArcCalibration.update_features | def update_features(self, poly):
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for feature in self.features:
feature.wavelength = poly(feature.xpos) | python | def update_features(self, poly):
"""Evaluate wavelength at xpos using the provided polynomial."""
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guaix-ucm/numina | numina/core/oresult.py | dataframe_from_list | def dataframe_from_list(values):
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guaix-ucm/numina | numina/core/oresult.py | obsres_from_dict | def obsres_from_dict(values):
"""Build a ObservationResult object from a dictionary."""
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"""Build a ObservationResult object from a dictionary."""
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guaix-ucm/numina | numina/core/oresult.py | ObservationResult.get_sample_frame | def get_sample_frame(self):
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"""Return first available image in observation result"""
for frame in self.frames:
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guaix-ucm/numina | numina/array/nirproc.py | fowler_array | def fowler_array(fowlerdata, ti=0.0, ts=0.0, gain=1.0, ron=1.0,
badpixels=None, dtype='float64',
saturation=65631, blank=0, normalize=False):
"""Loop over the first axis applying Fowler processing.
*fowlerdata* is assumed to be a 3D numpy.ndarray containing the
result of a... | python | def fowler_array(fowlerdata, ti=0.0, ts=0.0, gain=1.0, ron=1.0,
badpixels=None, dtype='float64',
saturation=65631, blank=0, normalize=False):
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guaix-ucm/numina | numina/array/nirproc.py | ramp_array | def ramp_array(rampdata, ti, gain=1.0, ron=1.0,
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saturation=65631, blank=0, nsig=None, normalize=False):
"""Loop over the first axis applying ramp processing.
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saturation=65631, blank=0, nsig=None, normalize=False):
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ponty/eagexp | eagexp/cmd.py | accept_freeware_license | def accept_freeware_license():
'''different Eagle versions need differnt TAB count.
6.5 -> 2
6.6 -> 3
7.4 -> 2
'''
ntab = 3 if version().startswith('6.6.') else 2
for _ in range(ntab):
EasyProcess('xdotool key KP_Tab').call()
time.sleep(0.5)
EasyProcess('xdotool key KP... | python | def accept_freeware_license():
'''different Eagle versions need differnt TAB count.
6.5 -> 2
6.6 -> 3
7.4 -> 2
'''
ntab = 3 if version().startswith('6.6.') else 2
for _ in range(ntab):
EasyProcess('xdotool key KP_Tab').call()
time.sleep(0.5)
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guaix-ucm/numina | numina/util/fqn.py | fully_qualified_name | def fully_qualified_name(obj, sep='.'):
"""Return fully qualified name from object"""
if inspect.isclass(obj):
return obj.__module__ + sep + obj.__name__
else:
return obj.__module__ + sep + obj.__class__.__name__ | python | def fully_qualified_name(obj, sep='.'):
"""Return fully qualified name from object"""
if inspect.isclass(obj):
return obj.__module__ + sep + obj.__name__
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guaix-ucm/numina | numina/array/numsplines.py | fun_residuals | def fun_residuals(params, xnor, ynor, w, bbox, k, ext):
"""Compute fit residuals"""
spl = LSQUnivariateSpline(
x=xnor,
y=ynor,
t=[item.value for item in params.values()],
w=w,
bbox=bbox,
k=k,
ext=ext,
check_finite=False
)
return spl.get_re... | python | def fun_residuals(params, xnor, ynor, w, bbox, k, ext):
"""Compute fit residuals"""
spl = LSQUnivariateSpline(
x=xnor,
y=ynor,
t=[item.value for item in params.values()],
w=w,
bbox=bbox,
k=k,
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guaix-ucm/numina | numina/user/clirundal.py | parse_as_yaml | def parse_as_yaml(strdict):
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interm = ""
for key, val in strdict.items():
interm = "%s: %s, %s" % (key, val, interm)
fin = '{%s}' % interm
return yaml.load(fin) | python | def parse_as_yaml(strdict):
"""Parse a dictionary of strings as if yaml reads it"""
interm = ""
for key, val in strdict.items():
interm = "%s: %s, %s" % (key, val, interm)
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SUNCAT-Center/CatHub | cathub/cli.py | folder2db | def folder2db(folder_name, debug, energy_limit, skip_folders,
goto_reaction):
"""Read folder and collect data in local sqlite3 database"""
folder_name = folder_name.rstrip('/')
skip = []
for s in skip_folders.split(', '):
for sk in s.split(','):
skip.append(sk)
pub... | python | def folder2db(folder_name, debug, energy_limit, skip_folders,
goto_reaction):
"""Read folder and collect data in local sqlite3 database"""
folder_name = folder_name.rstrip('/')
skip = []
for s in skip_folders.split(', '):
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SUNCAT-Center/CatHub | cathub/cli.py | db2server | def db2server(dbfile, block_size, dbuser, dbpassword):
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SUNCAT-Center/CatHub | cathub/cli.py | reactions | def reactions(columns, n_results, write_db, queries):
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key, value = q.split('=')
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query_dic... | python | def reactions(columns, n_results, write_db, queries):
"""Search for reactions"""
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SUNCAT-Center/CatHub | cathub/cli.py | publications | def publications(columns, n_results, queries):
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SUNCAT-Center/CatHub | cathub/cli.py | make_folders | def make_folders(template, custom_base):
"""Create a basic folder tree for dumping DFT calculcations for reaction energies.
Dear all
Use this command make the right structure for your folders
for submitting data for Catalysis Hub's Surface Reactions.
Start by creating a template file by calling:
... | python | def make_folders(template, custom_base):
"""Create a basic folder tree for dumping DFT calculcations for reaction energies.
Dear all
Use this command make the right structure for your folders
for submitting data for Catalysis Hub's Surface Reactions.
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SUNCAT-Center/CatHub | cathub/cli.py | organize | def organize(**kwargs):
"""Read reactions from non-organized folder"""
# do argument wrangling before turning it into an obect
# since namedtuples are immutable
if len(kwargs['adsorbates']) == 0:
print("""Warning: no adsorbates specified,
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"""Read reactions from non-organized folder"""
# do argument wrangling before turning it into an obect
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print("""Warning: no adsorbates specified,
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iiSeymour/game-of-life | conway/gol.py | gol.initCurses | def initCurses(self):
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"""
Set up screen properties
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"""
Fix curses addch function for python 3.4.0
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"""
Draw splash screen
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] | 288bc87179ffd986ca066bcd98ea6e0951dd7970 | https://github.com/iiSeymour/game-of-life/blob/288bc87179ffd986ca066bcd98ea6e0951dd7970/conway/gol.py#L110-L126 | train |
iiSeymour/game-of-life | conway/gol.py | gol.drawHUD | def drawHUD(self):
"""
Draw information on population size and current generation
"""
self.win.move(self.height - 2, self.x_pad)
self.win.clrtoeol()
self.win.box()
self.addstr(2, self.x_pad + 1, "Population: %i" % len(self.grid))
self.addstr(3, self.x_pad ... | python | def drawHUD(self):
"""
Draw information on population size and current generation
"""
self.win.move(self.height - 2, self.x_pad)
self.win.clrtoeol()
self.win.box()
self.addstr(2, self.x_pad + 1, "Population: %i" % len(self.grid))
self.addstr(3, self.x_pad ... | [
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iiSeymour/game-of-life | conway/gol.py | gol.drawGrid | def drawGrid(self):
"""
Redraw the grid with the new generation
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for cell in self.grid:
y, x = cell
y += self.y_pad
x += self.x_pad
if self.traditional:
sprite = '.'
color = curses.color_pair(4)
... | python | def drawGrid(self):
"""
Redraw the grid with the new generation
"""
for cell in self.grid:
y, x = cell
y += self.y_pad
x += self.x_pad
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iiSeymour/game-of-life | conway/gol.py | gol.nextGen | def nextGen(self):
"""
Decide the fate of the cells
"""
self.current_gen += 1
self.change_gen[self.current_gen % 3] = copy.copy(self.grid)
grid_cp = copy.copy(self.grid)
for cell in self.grid:
y, x = cell
y1 = (y - 1) % self.y_grid
... | python | def nextGen(self):
"""
Decide the fate of the cells
"""
self.current_gen += 1
self.change_gen[self.current_gen % 3] = copy.copy(self.grid)
grid_cp = copy.copy(self.grid)
for cell in self.grid:
y, x = cell
y1 = (y - 1) % self.y_grid
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iiSeymour/game-of-life | conway/gol.py | gol.countNeighbours | def countNeighbours(self, cell):
"""
Return the number active neighbours within one positions away from cell
"""
count = 0
y, x = cell
y = y % self.y_grid
x = x % self.x_grid
y1 = (y - 1) % self.y_grid
y2 = (y + 1) % self.y_grid
x1 = (x - 1... | python | def countNeighbours(self, cell):
"""
Return the number active neighbours within one positions away from cell
"""
count = 0
y, x = cell
y = y % self.y_grid
x = x % self.x_grid
y1 = (y - 1) % self.y_grid
y2 = (y + 1) % self.y_grid
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iiSeymour/game-of-life | conway/gol.py | gol.initGrid | def initGrid(self):
"""
Initialise the game grid
"""
blinker = [(4, 4), (4, 5), (4, 6)]
toad = [(9, 5), (9, 6), (9, 7), (10, 4), (10, 5), (10, 6)]
glider = [(4, 11), (5, 12), (6, 10), (6, 11), (6, 12)]
r_pentomino = [(10, 60), (9, 61), (10, 61), (11, 61), (9, 62)]... | python | def initGrid(self):
"""
Initialise the game grid
"""
blinker = [(4, 4), (4, 5), (4, 6)]
toad = [(9, 5), (9, 6), (9, 7), (10, 4), (10, 5), (10, 6)]
glider = [(4, 11), (5, 12), (6, 10), (6, 11), (6, 12)]
r_pentomino = [(10, 60), (9, 61), (10, 61), (11, 61), (9, 62)]... | [
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iiSeymour/game-of-life | conway/gol.py | gol.restart | def restart(self):
"""
Restart the game from a new generation 0
"""
self.initGrid()
self.win.clear()
self.current_gen = 1
self.start | python | def restart(self):
"""
Restart the game from a new generation 0
"""
self.initGrid()
self.win.clear()
self.current_gen = 1
self.start | [
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iiSeymour/game-of-life | conway/gol.py | gol.end | def end(self):
"""
Game Finished - Restart or Quit
"""
if self.loop:
self.restart
return
self.addstr(2, self.x_grid / 2 - 4, "GAMEOVER", 7)
if self.hud:
self.addstr(2, self.x_pad + 13, len(self.grid), 5)
self.addstr(3, sel... | python | def end(self):
"""
Game Finished - Restart or Quit
"""
if self.loop:
self.restart
return
self.addstr(2, self.x_grid / 2 - 4, "GAMEOVER", 7)
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guaix-ucm/numina | numina/array/combine.py | mean | def mean(arrays, masks=None, dtype=None, out=None,
zeros=None, scales=None,
weights=None):
"""Combine arrays using the mean, with masks and offsets.
Arrays and masks are a list of array objects. All input arrays
have the same shape. If present, the masks have the same shape
also.
... | python | def mean(arrays, masks=None, dtype=None, out=None,
zeros=None, scales=None,
weights=None):
"""Combine arrays using the mean, with masks and offsets.
Arrays and masks are a list of array objects. All input arrays
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also.
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guaix-ucm/numina | numina/array/combine.py | median | def median(arrays, masks=None, dtype=None, out=None,
zeros=None, scales=None,
weights=None):
"""Combine arrays using the median, with masks.
Arrays and masks are a list of array objects. All input arrays
have the same shape. If present, the masks have the same shape
also.
The... | python | def median(arrays, masks=None, dtype=None, out=None,
zeros=None, scales=None,
weights=None):
"""Combine arrays using the median, with masks.
Arrays and masks are a list of array objects. All input arrays
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