text_prompt stringlengths 157 13.1k | code_prompt stringlengths 7 19.8k ⌀ |
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def increment_title(title):
""" Increments a string that ends in a number """ |
count = re.search('\d+$', title).group(0)
new_title = title[:-(len(count))] + str(int(count)+1)
return new_title |
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def check_limit(self, limit):
""" Checks if the given limit is valid. A limit must be > 0 to be considered valid. Raises ValueError when the *limit* is not > 0. ... |
if limit > 0:
self.limit = limit
else:
raise ValueError("Rule limit must be strictly > 0 ({0} given)"
.format(limit))
return self |
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def get_args():
""" request the arguments for running """ |
ap = argparse.ArgumentParser(description="Create frames for a movie that can be compiled using ffmpeg")
ap.add_argument("start", help="date string as start time")
ap.add_argument("end", help="date string as end time")
ap.add_argument("step", type=float, help="fraction of a day to step by")
ap.add_a... |
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def main():
""" process the main task """ |
args = get_args()
args.start = date_parser.parse(args.start)
args.end = date_parser.parse(args.end)
args.step = timedelta(args.step)
config = Config(args.config)
times = [args.start + i * args.step for i in range(int((args.end - args.start) / args.step))]
for i, time in enumerate(times):
... |
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def overall():
""" The overall grammer for pulling apart the main input files. """ |
return ZeroOrMore(Grammar.comment) + Dict(ZeroOrMore(Group(
Grammar._section + ZeroOrMore(Group(Grammar.line)))
)) |
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def file():
""" Grammar for files found in the overall input files. """ |
return (
Optional(Word(alphanums).setResultsName('alias') +
Suppress(Literal('.'))) + Suppress(White()) +
Word(approved_printables).setResultsName('filename')
) |
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def listen_to_event_updates():
"""Subscribe to events.""" |
def callback(event):
print('Event:', event)
client.create_event_subscription(instance='simulator', on_data=callback)
sleep(5) |
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def get_current_scene_node():
"""Return the name of the jb_sceneNode, that describes the current scene or None if there is no scene node. :returns: the full name... |
c = cmds.namespaceInfo(':', listOnlyDependencyNodes=True, absoluteName=True, dagPath=True)
l = cmds.ls(c, type='jb_sceneNode', absoluteName=True)
if not l:
return
else:
for n in sorted(l):
if not cmds.listConnections("%s.reftrack" % n, d=False):
return n |
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def updateSpec(self, *args, **kwargs):
"""Updates the spectrogram. First argument can be a filename, or a data array. If no arguments are given, clears the spect... |
if args[0] is None:
self.specPlot.clearImg()
elif isinstance(args[0], basestring):
self.specPlot.fromFile(*args, **kwargs)
else:
self.specPlot.updateData(*args,**kwargs) |
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def showSpec(self, fname):
"""Draws the spectrogram if it is currently None""" |
if not self.specPlot.hasImg() and fname is not None:
self.specPlot.fromFile(fname) |
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def updateSpiketrace(self, xdata, ydata, plotname=None):
"""Updates the spike trace :param xdata: index values :type xdata: numpy.ndarray :param ydata: values to... |
if plotname is None:
plotname = self.responsePlots.keys()[0]
if len(ydata.shape) == 1:
self.responsePlots[plotname].updateData(axeskey='response', x=xdata, y=ydata)
else:
self.responsePlots[plotname].addTraces(xdata, ydata) |
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def updateSignal(self, xdata, ydata, plotname=None):
"""Updates the trace of the outgoing signal :param xdata: time points of recording :param ydata: brain poten... |
if plotname is None:
plotname = self.responsePlots.keys()[0]
self.responsePlots[plotname].updateData(axeskey='stim', x=xdata, y=ydata) |
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def setXlimits(self, lims):
"""Sets the X axis limits of the trace plot :param lims: (min, max) of x axis, in same units as data :type lims: (float, float) """ |
# update all "linked", plots
self.specPlot.setXlim(lims)
for plot in self.responsePlots.values():
plot.setXlim(lims)
# ridiculous...
sizes = self.splittersw.sizes()
if len(sizes) > 1:
if self.badbadbad:
sizes[0] +=1
... |
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def setNreps(self, nreps):
"""Sets the number of reps before the raster plot resets""" |
for plot in self.responsePlots.values():
plot.setNreps(nreps) |
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def specAutoRange(self):
"""Auto adjusts the visible range of the spectrogram""" |
trace_range = self.responsePlots.values()[0].viewRange()[0]
vb = self.specPlot.getViewBox()
vb.autoRange(padding=0)
self.specPlot.setXlim(trace_range) |
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def save(self):
""" Save as a FITS file and attempt an upload if designated in the configuration file """ |
out = Outgest(self.output, self.selection_array.astype('uint8'), self.headers, self.config_path)
out.save()
out.upload() |
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def on_exit(self):
""" When you click to exit, this function is called, prompts whether to save""" |
answer = messagebox.askyesnocancel("Exit", "Do you want to save as you quit the application?")
if answer:
self.save()
self.quit()
self.destroy()
elif answer is None:
pass # the cancel action
else:
self.quit()
self.d... |
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def make_gui(self):
""" Setups the general structure of the gui, the first function called """ |
self.option_window = Toplevel()
self.option_window.protocol("WM_DELETE_WINDOW", self.on_exit)
self.canvas_frame = tk.Frame(self, height=500)
self.option_frame = tk.Frame(self.option_window, height=300)
self.canvas_frame.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
self.... |
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def make_options_frame(self):
""" make the frame that allows for configuration and classification""" |
self.tab_frame = ttk.Notebook(self.option_frame, width=800)
self.tab_configure = tk.Frame(self.tab_frame)
self.tab_classify = tk.Frame(self.tab_frame)
self.make_configure_tab()
self.make_classify_tab()
self.tab_frame.add(self.tab_configure, text="Configure")
sel... |
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def disable_multicolor(self):
""" swap from the multicolor image to the single color image """ |
# disable the multicolor image
for color in ['red', 'green', 'blue']:
self.multicolorscales[color].config(state=tk.DISABLED, bg='grey')
self.multicolorframes[color].config(bg='grey')
self.multicolorlabels[color].config(bg='grey')
self.multicolordropdowns[... |
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def update_button_action(self):
""" when update button is clicked, refresh the data preview""" |
if self.mode.get() == 3: # threecolor
self.configure_threecolor_image()
elif self.mode.get() == 1: # singlecolor
self.configure_singlecolor_image()
else:
raise ValueError("mode can only be singlecolor or threecolor")
self.imageplot.set_data(self.im... |
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def make_configure_tab(self):
""" initial set up of configure tab""" |
# Setup the choice between single and multicolor
modeframe = tk.Frame(self.tab_configure)
self.mode = tk.IntVar()
singlecolor = tk.Radiobutton(modeframe, text="Single color", variable=self.mode,
value=1, command=lambda: self.disable_multicolor())
... |
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def make_classify_tab(self):
""" initial set up of classification tab""" |
self.pick_frame = tk.Frame(self.tab_classify)
self.pick_frame2 = tk.Frame(self.tab_classify)
self.solar_class_var = tk.IntVar()
self.solar_class_var.set(0) # initialize to unlabeled
buttonnum = 0
frame = [self.pick_frame, self.pick_frame2]
for text, value in se... |
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def setup_singlecolor(self):
""" initial setup of single color options and variables""" |
self.singlecolorframe = tk.Frame(self.tab_configure, bg=self.single_color_theme)
channel_choices = sorted(list(self.data.keys()))
self.singlecolorlabel = tk.Label(self.singlecolorframe, text="single", bg=self.single_color_theme, width=10)
self.singlecolorvar = tk.StringVar()
sel... |
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def undobutton_action(self):
""" when undo is clicked, revert the thematic map to the previous state""" |
if len(self.history) > 1:
old = self.history.pop(-1)
self.selection_array = old
self.mask.set_data(old)
self.fig.canvas.draw_idle() |
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def change_class(self):
""" "on changing the classification label, update the "draw" text """ |
self.toolbarcenterframe.config(text="Draw: {}".format(self.config.solar_class_name[self.solar_class_var.get()])) |
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def values(self):
"""Gets the parameter values :returns: dict of inputs: | *'nfft'*: int -- length, in samples, of FFT chunks | *'window'*: str -- name of window... |
self.vals['nfft'] = self.ui.nfftSpnbx.value()
self.vals['window'] = str(self.ui.windowCmbx.currentText()).lower()
self.vals['overlap'] = self.ui.overlapSpnbx.value()
return self.vals |
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def main():
""" Parses the command-line args, and calls run. """ |
parser = argparse.ArgumentParser(
description='A pipeline that generates analysis pipelines.')
parser.add_argument('input', nargs='?',
help='A valid metapipe configuration file.')
parser.add_argument('-o', '--output',
help='An output destination. If none is pro... |
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def run(config, max_jobs, output=sys.stdout, job_type='local', report_type='text', shell='/bin/bash', temp='.metapipe', run_now=False):
""" Create the metapipe b... |
if max_jobs == None:
max_jobs = cpu_count()
parser = Parser(config)
try:
command_templates = parser.consume()
except ValueError as e:
raise SyntaxError('Invalid config file. \n%s' % e)
options = '\n'.join(parser.global_options)
queue_type = QUEUE_TYPES[report_type]
... |
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def make_submit_job(shell, output, job_type):
""" Preps the metapipe main job to be submitted. """ |
run_cmd = [shell, output]
submit_command = Command(alias=PIPELINE_ALIAS, cmds=run_cmd)
submit_job = get_job(submit_command, job_type)
submit_job.make()
return submit_job |
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def yaml(modules_to_register: Iterable[Any] = None, classes_to_register: Iterable[Any] = None) -> ruamel.yaml.YAML: """ Create a YAML object for loading a YAML co... |
# Defein a round-trip yaml object for us to work with. This object should be imported by other modules
# NOTE: "typ" is a not a typo. It stands for "type"
yaml = ruamel.yaml.YAML(typ = "rt")
# Register representers and constructors
# Numpy
yaml.representer.add_representer(np.ndarray, numpy_to_... |
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def register_classes(yaml: ruamel.yaml.YAML, classes: Optional[Iterable[Any]] = None) -> ruamel.yaml.YAML: """ Register externally defined classes. """ |
# Validation
if classes is None:
classes = []
# Register the classes
for cls in classes:
logger.debug(f"Registering class {cls} with YAML")
yaml.register_class(cls)
return yaml |
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def register_module_classes(yaml: ruamel.yaml.YAML, modules: Optional[Iterable[Any]] = None) -> ruamel.yaml.YAML: """ Register all classes in the given modules wi... |
# Validation
if modules is None:
modules = []
# Extract the classes from the modules
classes_to_register = set()
for module in modules:
module_classes = [member[1] for member in inspect.getmembers(module, inspect.isclass)]
classes_to_register.update(module_classes)
# R... |
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def numpy_to_yaml(representer: Representer, data: np.ndarray) -> Sequence[Any]: """ Write a numpy array to YAML. It registers the array under the tag ``!numpy_arr... |
return representer.represent_sequence(
"!numpy_array",
data.tolist()
) |
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def numpy_from_yaml(constructor: Constructor, data: ruamel.yaml.nodes.SequenceNode) -> np.ndarray: """ Read an array from YAML to numpy. It reads arrays registere... |
# Construct the contained values so that we properly construct int, float, etc.
# We just leave this to YAML because it already stores this information.
values = [constructor.construct_object(n) for n in data.value]
logger.debug(f"{data}, {values}")
return np.array(values) |
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def enum_to_yaml(cls: Type[T_EnumToYAML], representer: Representer, data: T_EnumToYAML) -> ruamel.yaml.nodes.ScalarNode: """ Encodes YAML representation. This is ... |
return representer.represent_scalar(
f"!{cls.__name__}",
f"{str(data)}"
) |
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def enum_from_yaml(cls: Type[T_EnumFromYAML], constructor: Constructor, node: ruamel.yaml.nodes.ScalarNode) -> T_EnumFromYAML: """ Decode YAML representation. Thi... |
# mypy doesn't like indexing to construct the enumeration.
return cls[node.value] |
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def _get_current_ids(self, source=True, meta=True, spectra=True, spectra_annotation=True):
"""Get the current id for each table in the database Args: source (boo... |
# get the cursor for the database connection
c = self.c
# Get the last uid for the spectra_info table
if source:
c.execute('SELECT max(id) FROM library_spectra_source')
last_id_origin = c.fetchone()[0]
if last_id_origin:
self.current_i... |
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def _update_libdata(self, line):
"""Update the library meta data from the current line being parsed Args: line (str):
The current line of the of the file being ... |
####################################################
# parse MONA Comments line
####################################################
# The mona msp files contain a "comments" line that contains lots of other information normally separated
# into by ""
if re.match('^Comme... |
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def _store_compound_info(self):
"""Update the compound_info dictionary with the current chunk of compound details Note that we use the inchikey as unique identif... |
other_name_l = [name for name in self.other_names if name != self.compound_info['name']]
self.compound_info['other_names'] = ' <#> '.join(other_name_l)
if not self.compound_info['inchikey_id']:
self._set_inchi_pcc(self.compound_info['pubchem_id'], 'cid', 0)
if not self.com... |
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def _store_meta_info(self):
"""Update the meta dictionary with the current chunk of meta data details """ |
# In the mass bank msp files, sometimes the precursor_mz is missing but we have the neutral mass and
# the precursor_type (e.g. adduct) so we can calculate the precursor_mz
if not self.meta_info['precursor_mz'] and self.meta_info['precursor_type'] and \
self.compound_info['exact... |
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def _parse_spectra_annotation(self, line):
"""Parse and store the spectral annotation details """ |
if re.match('^PK\$NUM_PEAK(.*)', line, re.IGNORECASE):
self.start_spectra_annotation = False
return
saplist = line.split()
sarow = (
self.current_id_spectra_annotation,
float(saplist[self.spectra_annotation_indexes['m/z']]) if 'm/z' in self.spec... |
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def _parse_spectra(self, line):
"""Parse and store the spectral details """ |
if line in ['\n', '\r\n', '//\n', '//\r\n', '', '//']:
self.start_spectra = False
self.current_id_meta += 1
self.collect_meta = True
return
splist = line.split()
if len(splist) > 2 and not self.ignore_additional_spectra_info:
additio... |
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def _set_inchi_pcc(self, in_str, pcp_type, elem):
"""Check pubchem compounds via API for both an inchikey and any available compound details """ |
if not in_str:
return 0
try:
pccs = pcp.get_compounds(in_str, pcp_type)
except pcp.BadRequestError as e:
print(e)
return 0
except pcp.TimeoutError as e:
print(e)
return 0
except pcp.ServerError as e:
... |
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def _get_other_names(self, line):
"""Parse and extract any other names that might be recorded for the compound Args: line (str):
line of the msp file """ |
m = re.search(self.compound_regex['other_names'][0], line, re.IGNORECASE)
if m:
self.other_names.append(m.group(1).strip()) |
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def _parse_meta_info(self, line):
"""Parse and extract all meta data by looping through the dictionary of meta_info regexs updates self.meta_info Args: line (str... |
if self.mslevel:
self.meta_info['ms_level'] = self.mslevel
if self.polarity:
self.meta_info['polarity'] = self.polarity
for k, regexes in six.iteritems(self.meta_regex):
for reg in regexes:
m = re.search(reg, line, re.IGNORECASE)
... |
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def _parse_compound_info(self, line):
"""Parse and extract all compound data by looping through the dictionary of compound_info regexs updates self.compound_info... |
for k, regexes in six.iteritems(self.compound_regex):
for reg in regexes:
if self.compound_info[k]:
continue
m = re.search(reg, line, re.IGNORECASE)
if m:
self.compound_info[k] = m.group(1).strip()
self... |
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def insert_data(self, remove_data=False, db_type='sqlite'):
"""Insert data stored in the current chunk of parsing into the selected database Args: remove_data (b... |
if self.update_source:
# print "insert ref id"
import msp2db
self.c.execute(
"INSERT INTO library_spectra_source (id, name, parsing_software) VALUES"
" ({a}, '{b}', 'msp2db-v{c}')".format(a=self.current_id_origin, b=self.source, c=msp2db.__ver... |
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def line(line_def, **kwargs):
"""Highlights a character in the line""" |
def replace(s):
return "(%s)" % ansi.aformat(s.group()[1:], attrs=["bold", ])
return ansi.aformat(
re.sub('@.?', replace, line_def),
**kwargs) |
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def try_and_error(*funcs):
"""Apply multiple validation functions Parameters ``*funcs`` Validation functions to test Returns ------- function""" |
def validate(value):
exc = None
for func in funcs:
try:
return func(value)
except (ValueError, TypeError) as e:
exc = e
raise exc
return validate |
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def validate_text(value):
"""Validate a text formatoption Parameters value: see :attr:`psyplot.plotter.labelplotter.text` Raises ------ ValueError""" |
possible_transform = ['axes', 'fig', 'data']
validate_transform = ValidateInStrings('transform', possible_transform,
True)
tests = [validate_float, validate_float, validate_str,
validate_transform, dict]
if isinstance(value, six.string_types):
... |
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def validate_none(b):
"""Validate that None is given Parameters b: {None, 'none'} None or string (the case is ignored) Returns ------- None Raises ------ ValueEr... |
if isinstance(b, six.string_types):
b = b.lower()
if b is None or b == 'none':
return None
else:
raise ValueError('Could not convert "%s" to None' % b) |
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def validate_axiscolor(value):
"""Validate a dictionary containing axiscolor definitions Parameters value: dict see :attr:`psyplot.plotter.baseplotter.axiscolor`... |
validate = try_and_error(validate_none, validate_color)
possible_keys = {'right', 'left', 'top', 'bottom'}
try:
value = dict(value)
false_keys = set(value) - possible_keys
if false_keys:
raise ValueError("Wrong keys (%s)!" % (', '.join(false_keys)))
for key, val ... |
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def validate_cbarpos(value):
"""Validate a colorbar position Parameters value: bool or str A string can be a combination of 'sh|sv|fl|fr|ft|fb|b|r' Returns -----... |
patt = 'sh|sv|fl|fr|ft|fb|b|r'
if value is True:
value = {'b'}
elif not value:
value = set()
elif isinstance(value, six.string_types):
for s in re.finditer('[^%s]+' % patt, value):
warn("Unknown colorbar position %s!" % s.group(), RuntimeWarning)
value = set(... |
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def validate_cmap(val):
"""Validate a colormap Parameters val: str or :class:`mpl.colors.Colormap` Returns ------- str or :class:`mpl.colors.Colormap` Raises ---... |
from matplotlib.colors import Colormap
try:
return validate_str(val)
except ValueError:
if not isinstance(val, Colormap):
raise ValueError(
"Could not find a valid colormap!")
return val |
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def validate_cmaps(cmaps):
"""Validate a dictionary of color lists Parameters cmaps: dict a mapping from a colormap name to a list of colors Raises ------ ValueE... |
cmaps = {validate_str(key): validate_colorlist(val) for key, val in cmaps}
for key, val in six.iteritems(cmaps):
cmaps.setdefault(key + '_r', val[::-1])
return cmaps |
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def validate_lineplot(value):
"""Validate the value for the LinePlotter.plot formatoption Parameters value: None, str or list with mixture of both The value to v... |
if value is None:
return value
elif isinstance(value, six.string_types):
return six.text_type(value)
else:
value = list(value)
for i, v in enumerate(value):
if v is None:
pass
elif isinstance(v, six.string_types):
value... |
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def visit_GpxModel(self, gpx_model, *args, **kwargs):
"""Render a GPXModel as a single JSON structure.""" |
result = OrderedDict()
put_scalar = lambda name, json_name=None: self.optional_attribute_scalar(result, gpx_model, name, json_name)
put_list = lambda name, json_name=None: self.optional_attribute_list(result, gpx_model, name, json_name)
put_scalar('creator')
put_scalar('metada... |
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def visit_Metadata(self, metadata, *args, **kwargs):
"""Render GPX Metadata as a single JSON structure.""" |
result = OrderedDict()
put_scalar = lambda name, json_name=None: self.optional_attribute_scalar(result, metadata, name, json_name)
put_list = lambda name, json_name=None: self.optional_attribute_list(result, metadata, name, json_name)
put_scalar('name')
put_scalar('description'... |
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| def swap_default(mode, equation, symbol_names, default, **kwargs):
'''
Given a `sympy` equation or equality, along with a list of symbol names,
substitute the specified default value for each symbol for which a value is
not provided through a keyword argument.
For example, consider the following eq... |
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| def z_transfer_functions():
r'''
Return a symbolic equality representation of the transfer function of RMS
voltage measured by either control board analog feedback circuits.
According to the figure below, the transfer function describes the
following relationship::
# Hardware V1 # ... |
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def has_option(section, name):
""" Wrapper around ConfigParser's ``has_option`` method. """ |
cfg = ConfigParser.SafeConfigParser({"working_dir": "/tmp", "debug": "0"})
cfg.read(CONFIG_LOCATIONS)
return cfg.has_option(section, name) |
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def get(section, name):
""" Wrapper around ConfigParser's ``get`` method. """ |
cfg = ConfigParser.SafeConfigParser({"working_dir": "/tmp", "debug": "0"})
cfg.read(CONFIG_LOCATIONS)
val = cfg.get(section, name)
return val.strip("'").strip('"') |
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def make_key(table_name, objid):
"""Create an object key for storage.""" |
key = datastore.Key()
path = key.path_element.add()
path.kind = table_name
path.name = str(objid)
return key |
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def extract_entity(found):
"""Copy found entity to a dict.""" |
obj = dict()
for prop in found.entity.property:
obj[prop.name] = prop.value.string_value
return obj |
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def read_rec(table_name, objid):
"""Generator that yields keyed recs from store.""" |
req = datastore.LookupRequest()
req.key.extend([make_key(table_name, objid)])
for found in datastore.lookup(req).found:
yield extract_entity(found) |
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def read_by_indexes(table_name, index_name_values=None):
"""Index reader.""" |
req = datastore.RunQueryRequest()
query = req.query
query.kind.add().name = table_name
if not index_name_values:
index_name_values = []
for name, val in index_name_values:
queryFilter = query.filter.property_filter
queryFilter.property.name = name
queryFilter.opera... |
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def delete_table(table_name):
"""Mainly for testing.""" |
to_delete = [
make_key(table_name, rec['id'])
for rec in read_by_indexes(table_name, [])
]
with DatastoreTransaction() as tx:
tx.get_commit_req().mutation.delete.extend(to_delete) |
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def get_commit_req(self):
"""Lazy commit request getter.""" |
if not self.commit_req:
self.commit_req = datastore.CommitRequest()
self.commit_req.transaction = self.tx
return self.commit_req |
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def call(command, stdin=None, stdout=subprocess.PIPE, env=os.environ, cwd=None, shell=False, output_log_level=logging.INFO, sensitive_info=False):
""" Better, sm... |
if not sensitive_info:
logger.debug("calling command: %s" % command)
else:
logger.debug("calling command with sensitive information")
try:
args = command if shell else whitespace_smart_split(command)
kw = {}
if not shell and not which(args[0], cwd=cwd):
r... |
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def whitespace_smart_split(command):
""" Split a command by whitespace, taking care to not split on whitespace within quotes. ['test', 'this', '"in here"', 'agai... |
return_array = []
s = ""
in_double_quotes = False
escape = False
for c in command:
if c == '"':
if in_double_quotes:
if escape:
s += c
escape = False
else:
s += c
in_d... |
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def sync(self):
""" execute the steps required to have the feature end with the desired state. """ |
phase = _get_phase(self._formula_instance)
self.logger.info("%s %s..." % (phase.verb.capitalize(), self.feature_name))
message = "...finished %s %s." % (phase.verb, self.feature_name)
result = getattr(self, phase.name)()
if result or phase in (PHASE.INSTALL, PHASE.REMOVE):
... |
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def isloaded(self, name):
"""Checks if given hook module has been loaded Args: name (str):
The name of the module to check Returns: bool. The return code:: True... |
if name is None:
return True
if isinstance(name, str):
return (name in [x.__module__ for x in self])
if isinstance(name, Iterable):
return set(name).issubset([x.__module__ for x in self])
return False |
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def hook(self, function, dependencies=None):
"""Tries to load a hook Args: function (func):
Function that will be called when the event is called Kwargs: depend... |
if not isinstance(dependencies, (Iterable, type(None), str)):
raise TypeError("Invalid list of dependencies provided!")
# Tag the function with its dependencies
if not hasattr(function, "__deps__"):
function.__deps__ = dependencies
# If a module is loaded befor... |
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def parse_from_json(json_str):
""" Given a Unified Uploader message, parse the contents and return a MarketOrderList or MarketHistoryList instance. :param str js... |
try:
message_dict = json.loads(json_str)
except ValueError:
raise ParseError("Mal-formed JSON input.")
upload_keys = message_dict.get('uploadKeys', False)
if upload_keys is False:
raise ParseError(
"uploadKeys does not exist. At minimum, an empty array is required."... |
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def encode_to_json(order_or_history):
""" Given an order or history entry, encode it to JSON and return. :type order_or_history: MarketOrderList or MarketHistory... |
if isinstance(order_or_history, MarketOrderList):
return orders.encode_to_json(order_or_history)
elif isinstance(order_or_history, MarketHistoryList):
return history.encode_to_json(order_or_history)
else:
raise Exception("Must be one of MarketOrderList or MarketHistoryList.") |
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def add(self, classifier, threshold, begin=None, end=None):
"""Adds a new strong classifier with the given threshold to the cascade. **Parameters:** classifier :... |
boosted_machine = bob.learn.boosting.BoostedMachine()
if begin is None: begin = 0
if end is None: end = len(classifier.weak_machines)
for i in range(begin, end):
boosted_machine.add_weak_machine(classifier.weak_machines[i], classifier.weights[i])
self.cascade.append(boosted_machine)
self.... |
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def create_from_boosted_machine(self, boosted_machine, classifiers_per_round, classification_thresholds=-5.):
"""Creates this cascade from the given boosted mach... |
indices = list(range(0, len(boosted_machine.weak_machines), classifiers_per_round))
if indices[-1] != len(boosted_machine.weak_machines): indices.append(len(boosted_machine.weak_machines))
self.cascade = []
self.indices = []
for i in range(len(indices)-1):
machine = bob.learn.boosting.Boosted... |
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def save(self, hdf5):
"""Saves this cascade into the given HDF5 file. **Parameters:** ``hdf5`` : :py:class:`bob.io.base.HDF5File` An HDF5 file open for writing "... |
# write the cascade to file
hdf5.set("Thresholds", self.thresholds)
for i in range(len(self.cascade)):
hdf5.create_group("Classifier_%d" % (i+1))
hdf5.cd("Classifier_%d" % (i+1))
self.cascade[i].save(hdf5)
hdf5.cd("..")
hdf5.create_group("FeatureExtractor")
hdf5.cd("FeatureE... |
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def load(self, hdf5):
"""Loads this cascade from the given HDF5 file. **Parameters:** ``hdf5`` : :py:class:`bob.io.base.HDF5File` An HDF5 file open for reading "... |
# write the cascade to file
self.thresholds = hdf5.read("Thresholds")
self.cascade = []
for i in range(len(self.thresholds)):
hdf5.cd("Classifier_%d" % (i+1))
self.cascade.append(bob.learn.boosting.BoostedMachine(hdf5))
hdf5.cd("..")
hdf5.cd("FeatureExtractor")
self.extractor ... |
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def check(ctx, repository, config):
"""Check commits.""" |
ctx.obj = Repo(repository=repository, config=config) |
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def message(obj, commit='HEAD', skip_merge_commits=False):
"""Check the messages of the commits.""" |
from ..kwalitee import check_message
options = obj.options
repository = obj.repository
if options.get('colors') is not False:
colorama.init(autoreset=True)
reset = colorama.Style.RESET_ALL
yellow = colorama.Fore.YELLOW
green = colorama.Fore.GREEN
red = colorama.... |
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def get_obj_subcmds(obj):
"""Fetch action in callable attributes which and commands Callable must have their attribute 'command' set to True to be recognised by ... |
subcmds = []
for label in dir(obj.__class__):
if label.startswith("_"):
continue
if isinstance(getattr(obj.__class__, label, False), property):
continue
rvalue = getattr(obj, label)
if not callable(rvalue) or not is_cmd(rvalue):
continue
... |
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def get_module_resources(mod):
"""Return probed sub module names from given module""" |
path = os.path.dirname(os.path.realpath(mod.__file__))
prefix = kf.basename(mod.__file__, (".py", ".pyc"))
if not os.path.exists(mod.__file__):
import pkg_resources
for resource_name in pkg_resources.resource_listdir(mod.__name__, ''):
if resource_name.startswith("%s_" % prefi... |
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def get_mod_subcmds(mod):
"""Fetch action in same directory in python module python module loaded are of this form: '%s_*.py' % prefix """ |
## Look in modules attributes
subcmds = get_obj_subcmds(mod)
path = os.path.dirname(os.path.realpath(mod.__file__))
if mod.__package__ is None:
sys.path.insert(0, os.path.dirname(path))
mod.__package__ = kf.basename(path)
for module_name in get_module_resources(mod):
try... |
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def get_help(obj, env, subcmds):
"""Interpolate complete help doc of given object Assumption that given object as a specific interface: obj.__doc__ is the basic ... |
doc = txt.dedent(obj.__doc__ or "")
env = env.copy() ## get a local copy
doc = doc.strip()
if not re.search(r"^usage:\s*$", doc, flags=re.IGNORECASE | re.MULTILINE):
doc += txt.dedent("""
Usage:
%(std_usage)s
Options:
%(std_options)s""")
... |
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def get_calling_prototype(acallable):
"""Returns actual working calling prototype This means that the prototype given can be used directly in the same way by bou... |
assert callable(acallable)
if inspect.ismethod(acallable) or inspect.isfunction(acallable):
args, vargs, vkwargs, defaults = inspect.getargspec(acallable)
elif not inspect.isfunction(acallable) and hasattr(acallable, "__call__"):
## a class instance ? which is callable...
args, varg... |
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def initialize(self):
""" Generate the root directory root if it doesn't already exist """ |
if not os.path.exists(self.root_dir):
os.makedirs(self.root_dir)
assert os.path.isdir(self.root_dir), "%s is not a directory! Please move or remove it." % self.root_dir
for d in ["bin", "lib", "include"]:
target_path = os.path.join(self.root_dir, d)
if not os... |
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def finalize(self):
""" finalize any open file handles """ |
if self.rc_file:
self.rc_file.close()
if self.env_file:
self.env_file.close() |
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def remove(self):
""" Removes the sprinter directory, if it exists """ |
if self.rc_file:
self.rc_file.close()
if self.env_file:
self.env_file.close()
shutil.rmtree(self.root_dir) |
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def symlink_to_bin(self, name, path):
""" Symlink an object at path to name in the bin folder. """ |
self.__symlink_dir("bin", name, path)
os.chmod(os.path.join(self.root_dir, "bin", name), os.stat(path).st_mode | stat.S_IXUSR | stat.S_IRUSR) |
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def remove_feature(self, feature_name):
""" Remove an feature from the environment root folder. """ |
self.clear_feature_symlinks(feature_name)
if os.path.exists(self.install_directory(feature_name)):
self.__remove_path(self.install_directory(feature_name)) |
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def clear_feature_symlinks(self, feature_name):
""" Clear the symlinks for a feature in the symlinked path """ |
logger.debug("Clearing feature symlinks for %s" % feature_name)
feature_path = self.install_directory(feature_name)
for d in ('bin', 'lib'):
if os.path.exists(os.path.join(self.root_dir, d)):
for link in os.listdir(os.path.join(self.root_dir, d)):
... |
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def add_to_env(self, content):
""" add content to the env script. """ |
if not self.rewrite_config:
raise DirectoryException("Error! Directory was not intialized w/ rewrite_config.")
if not self.env_file:
self.env_path, self.env_file = self.__get_env_handle(self.root_dir)
self.env_file.write(content + '\n') |
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def add_to_rc(self, content):
""" add content to the rc script. """ |
if not self.rewrite_config:
raise DirectoryException("Error! Directory was not intialized w/ rewrite_config.")
if not self.rc_file:
self.rc_path, self.rc_file = self.__get_rc_handle(self.root_dir)
self.rc_file.write(content + '\n') |
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def add_to_gui(self, content):
""" add content to the gui script. """ |
if not self.rewrite_config:
raise DirectoryException("Error! Directory was not intialized w/ rewrite_config.")
if not self.gui_file:
self.gui_path, self.gui_file = self.__get_gui_handle(self.root_dir)
self.gui_file.write(content + '\n') |
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def __remove_path(self, path):
""" Remove an object """ |
curpath = os.path.abspath(os.curdir)
if not os.path.exists(path):
logger.warn("Attempted to remove a non-existent path %s" % path)
return
try:
if os.path.islink(path):
os.unlink(path)
elif os.path.isdir(path):
shuti... |
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def __get_rc_handle(self, root_dir):
""" get the filepath and filehandle to the rc file for the environment """ |
rc_path = os.path.join(root_dir, '.rc')
env_path = os.path.join(root_dir, '.env')
fh = open(rc_path, "w+")
# .rc will always source .env
fh.write(source_template % (env_path, env_path))
return (rc_path, fh) |
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def __symlink_dir(self, dir_name, name, path):
""" Symlink an object at path to name in the dir_name folder. remove it if it already exists. """ |
target_dir = os.path.join(self.root_dir, dir_name)
if not os.path.exists(target_dir):
os.makedirs(target_dir)
target_path = os.path.join(self.root_dir, dir_name, name)
logger.debug("Attempting to symlink %s to %s..." % (path, target_path))
if os.path.exists(target_pa... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
def list_docs(self, options=None):
"""Return list of previously created documents.""" |
if options is None:
raise ValueError("Please pass in an options dict")
default_options = {
"page": 1,
"per_page": 100,
"raise_exception_on_failure": False,
"user_credentials": self.api_key,
}
options = dict(list(default_option... |
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