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Kortemme-Lab/klab | klab/general/strutil.py | https://github.com/Kortemme-Lab/klab/blob/6d410ad08f1bd9f7cbbb28d7d946e94fbaaa2b6b/klab/general/strutil.py#L66-L87 | def merge_pdb_range_pairs(prs):
'''Takes in a list of PDB residue IDs (including insertion codes) specifying ranges and returns a sorted list of merged, sorted ranges.
This works as above but we have to split the residues into pairs as "1A" > "19".
'''
new_prs = []
sprs = [sorted((split_pdb_residue(p[0]), split_pdb_residue(p[1]))) for p in prs]
sprs = sorted(sprs)
merged = False
x = 0
from klab import colortext
while x < len(sprs):
newx = x + 1
new_pair = list(sprs[x])
for y in range(x + 1, len(sprs)):
if new_pair[0] <= (sprs[y][0][0] - 1, sprs[y][0][1]) <= new_pair[1]:
new_pair[0] = min(new_pair[0], sprs[y][0])
new_pair[1] = max(new_pair[1], sprs[y][1])
newx = y + 1
if new_pair not in new_prs:
new_prs.append(new_pair)
x = newx
return new_prs | [
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| python | train | 40.5 |
IS-ENES-Data/esgf-pid | esgfpid/connector.py | https://github.com/IS-ENES-Data/esgf-pid/blob/2f4909bb3ff79c0b6ed2932e0dd8b3bb6aec5e41/esgfpid/connector.py#L351-L401 | def unpublish_one_version(self, **args):
'''
Sends a PID update request for the unpublication of one version
of a dataset currently published at the given data node.
Either the handle or the pair of drs_id and version_number
have to be provided, otherwise an exception will occur.
The consumer will of course check the PID request message's
timestamp with the timestamp of the last publication, so that
republications in the mean time are not unpublished.
The unpublication of the files is included in this method.
:param handle: Optional. The handle of the dataset
to be unpublished.
:param drs_id: Optional. The dataset id of the dataset
to be unpublished.
:param version_number: Optional. The version number of
the dataset to be unpublished.
:raises: ArgumentError: If not enough arguments are passed
to identify the dataset, or if no data node was specified
during library init.
'''
# Check args
optional_args = ['handle', 'drs_id', 'version_number']
esgfpid.utils.add_missing_optional_args_with_value_none(args, optional_args)
# Check if data node is given
if self.__data_node is None:
msg = 'No data_node given (but it is mandatory for unpublication)'
logwarn(LOGGER, msg)
raise esgfpid.exceptions.ArgumentError(msg)
# Unpublish
assistant = esgfpid.assistant.unpublish.AssistantOneVersion(
drs_id = args['drs_id'],
data_node = self.__data_node,
prefix=self.prefix,
coupler=self.__coupler,
message_timestamp=esgfpid.utils.get_now_utc_as_formatted_string()
)
assistant.unpublish_one_dataset_version(
handle = args['handle'],
version_number = args['version_number']
) | [
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| python | train | 37.313725 |
howl-anderson/MicroTokenizer | MicroTokenizer/util.py | https://github.com/howl-anderson/MicroTokenizer/blob/41bbe9c31d202b4f751ad5201d343ad1123b42b5/MicroTokenizer/util.py#L370-L386 | def print_markdown(data, title=None):
"""Print data in GitHub-flavoured Markdown format for issues etc.
data (dict or list of tuples): Label/value pairs.
title (unicode or None): Title, will be rendered as headline 2.
"""
def excl_value(value):
# contains path, i.e. personal info
return isinstance(value, basestring_) and Path(value).exists()
if isinstance(data, dict):
data = list(data.items())
markdown = ["* **{}:** {}".format(l, unicode_(v))
for l, v in data if not excl_value(v)]
if title:
print("\n## {}".format(title))
print('\n{}\n'.format('\n'.join(markdown))) | [
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| python | train | 37.647059 |
ungarj/mapchete | mapchete/io/raster.py | https://github.com/ungarj/mapchete/blob/d482918d0e66a5b414dff6aa7cc854e01fc60ee4/mapchete/io/raster.py#L31-L86 | def read_raster_window(
input_files,
tile,
indexes=None,
resampling="nearest",
src_nodata=None,
dst_nodata=None,
gdal_opts=None
):
"""
Return NumPy arrays from an input raster.
NumPy arrays are reprojected and resampled to tile properties from input
raster. If tile boundaries cross the antimeridian, data on the other side
of the antimeridian will be read and concatenated to the numpy array
accordingly.
Parameters
----------
input_files : string or list
path to a raster file or list of paths to multiple raster files readable by
rasterio.
tile : Tile
a Tile object
indexes : list or int
a list of band numbers; None will read all.
resampling : string
one of "nearest", "average", "bilinear" or "lanczos"
src_nodata : int or float, optional
if not set, the nodata value from the source dataset will be used
dst_nodata : int or float, optional
if not set, the nodata value from the source dataset will be used
gdal_opts : dict
GDAL options passed on to rasterio.Env()
Returns
-------
raster : MaskedArray
"""
with rasterio.Env(
**get_gdal_options(
gdal_opts,
is_remote=path_is_remote(
input_files[0] if isinstance(input_files, list) else input_files, s3=True
)
)
) as env:
logger.debug("reading %s with GDAL options %s", input_files, env.options)
return _read_raster_window(
input_files,
tile,
indexes=indexes,
resampling=resampling,
src_nodata=src_nodata,
dst_nodata=dst_nodata
) | [
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tile : Tile
a Tile object
indexes : list or int
a list of band numbers; None will read all.
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dst_nodata : int or float, optional
if not set, the nodata value from the source dataset will be used
gdal_opts : dict
GDAL options passed on to rasterio.Env()
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raster : MaskedArray | [
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| python | valid | 29.821429 |
kellerza/pyqwikswitch | pyqwikswitch/async_.py | https://github.com/kellerza/pyqwikswitch/blob/9d4f080048221eaee93e3eefcf641919ff1af586/pyqwikswitch/async_.py#L79-L108 | async def _async_listen(self, callback=None):
"""Listen loop."""
while True:
if not self._running:
return
try:
packet = await self.get_json(
URL_LISTEN.format(self._url), timeout=30, exceptions=True)
except asyncio.TimeoutError:
continue
except aiohttp.client_exceptions.ClientError as exc:
_LOGGER.warning("ClientError: %s", exc)
self._sleep_task = self.loop.create_task(asyncio.sleep(30))
try:
await self._sleep_task
except asyncio.CancelledError:
pass
self._sleep_task = None
continue
if isinstance(packet, dict) and QS_CMD in packet:
_LOGGER.debug("callback( %s )", packet)
try:
callback(packet)
except Exception as err: # pylint: disable=broad-except
_LOGGER.error("Exception in callback\nType: %s: %s",
type(err), err)
else:
_LOGGER.debug("unknown packet? %s", packet) | [
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| python | train | 39.266667 |
calmjs/calmjs | src/calmjs/cli.py | https://github.com/calmjs/calmjs/blob/b9b407c2b6a7662da64bccba93bb8d92e7a5fafd/src/calmjs/cli.py#L119-L127 | def node(self, source, args=(), env={}):
"""
Calls node with an inline source.
Returns decoded output of stdout and stderr; decoding determine
by locale.
"""
return self._exec(self.node_bin, source, args=args, env=env) | [
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| python | train | 28.888889 |
sosy-lab/benchexec | benchexec/containerexecutor.py | https://github.com/sosy-lab/benchexec/blob/44428f67f41384c03aea13e7e25f884764653617/benchexec/containerexecutor.py#L77-L134 | def handle_basic_container_args(options, parser=None):
"""Handle the options specified by add_basic_container_args().
@return: a dict that can be used as kwargs for the ContainerExecutor constructor
"""
dir_modes = {}
error_fn = parser.error if parser else sys.exit
def handle_dir_mode(path, mode):
path = os.path.abspath(path)
if not os.path.isdir(path):
error_fn(
"Cannot specify directory mode for '{}' because it does not exist or is no directory."
.format(path))
if path in dir_modes:
error_fn("Cannot specify multiple directory modes for '{}'.".format(path))
dir_modes[path] = mode
for path in options.hidden_dir:
handle_dir_mode(path, DIR_HIDDEN)
for path in options.read_only_dir:
handle_dir_mode(path, DIR_READ_ONLY)
for path in options.overlay_dir:
handle_dir_mode(path, DIR_OVERLAY)
for path in options.full_access_dir:
handle_dir_mode(path, DIR_FULL_ACCESS)
if options.keep_tmp:
if "/tmp" in dir_modes and not dir_modes["/tmp"] == DIR_FULL_ACCESS:
error_fn("Cannot specify both --keep-tmp and --hidden-dir /tmp.")
dir_modes["/tmp"] = DIR_FULL_ACCESS
elif not "/tmp" in dir_modes:
dir_modes["/tmp"] = DIR_HIDDEN
if not "/" in dir_modes:
dir_modes["/"] = DIR_OVERLAY
if not "/run" in dir_modes:
dir_modes["/run"] = DIR_HIDDEN
if options.container_system_config:
if options.network_access:
logging.warning("The container configuration disables DNS, "
"host lookups will fail despite --network-access. "
"Consider using --keep-system-config.")
else:
# /etc/resolv.conf is necessary for DNS lookups and on many systems is a symlink
# to either /run/resolvconf/resolv.conf or /run/systemd/resolve/sub-resolve.conf,
# so we keep that directory accessible as well.
if not "/run/resolvconf" in dir_modes and os.path.isdir("/run/resolvconf"):
dir_modes["/run/resolvconf"] = DIR_READ_ONLY
if not "/run/systemd/resolve" in dir_modes and os.path.isdir("/run/systemd/resolve"):
dir_modes["/run/systemd/resolve"] = DIR_READ_ONLY
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'container_tmpfs': options.tmpfs,
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| python | train | 42.086207 |
mwgielen/jackal | jackal/core.py | https://github.com/mwgielen/jackal/blob/7fe62732eb5194b7246215d5277fb37c398097bf/jackal/core.py#L184-L192 | def id_to_object(self, line):
"""
Resolves an ip adres to a range object, creating it if it doesn't exists.
"""
result = Range.get(line, ignore=404)
if not result:
result = Range(range=line)
result.save()
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| python | valid | 31.777778 |
zooniverse/panoptes-python-client | panoptes_client/exportable.py | https://github.com/zooniverse/panoptes-python-client/blob/138d93cb03378501a8d349428e381ad73f928680/panoptes_client/exportable.py#L162-L179 | def describe_export(self, export_type):
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Fetch metadata for an export.
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Returns a :py:class:`dict` containing metadata for the export.
"""
if export_type in TALK_EXPORT_TYPES:
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| python | train | 29.777778 |
josuebrunel/yahoo-oauth | yahoo_oauth/utils.py | https://github.com/josuebrunel/yahoo-oauth/blob/40eff7809366850c46e1a3340469044f33cd1713/yahoo_oauth/utils.py#L51-L58 | def json_get_data(filename):
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| python | valid | 21 |
bihealth/vcfpy | vcfpy/parser.py | https://github.com/bihealth/vcfpy/blob/99e2165df30f11e0c95f3170f31bc5191d9e9e15/vcfpy/parser.py#L313-L323 | def process_sub_shrink(ref, alt_str):
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| python | train | 39.727273 |
eqcorrscan/EQcorrscan | eqcorrscan/utils/correlate.py | https://github.com/eqcorrscan/EQcorrscan/blob/3121b4aca801ee5d38f56ca297ce1c0f9515d9ff/eqcorrscan/utils/correlate.py#L680-L790 | def fftw_multi_normxcorr(template_array, stream_array, pad_array, seed_ids,
cores_inner, cores_outer):
"""
Use a C loop rather than a Python loop - in some cases this will be fast.
:type template_array: dict
:param template_array:
:type stream_array: dict
:param stream_array:
:type pad_array: dict
:param pad_array:
:type seed_ids: list
:param seed_ids:
rtype: np.ndarray, list
:return: 3D Array of cross-correlations and list of used channels.
"""
utilslib = _load_cdll('libutils')
utilslib.multi_normxcorr_fftw.argtypes = [
np.ctypeslib.ndpointer(dtype=np.float32,
flags=native_str('C_CONTIGUOUS')),
ctypes.c_long, ctypes.c_long, ctypes.c_long,
np.ctypeslib.ndpointer(dtype=np.float32,
flags=native_str('C_CONTIGUOUS')),
ctypes.c_long,
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flags=native_str('C_CONTIGUOUS')),
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flags=native_str('C_CONTIGUOUS')),
np.ctypeslib.ndpointer(dtype=np.intc,
flags=native_str('C_CONTIGUOUS')),
ctypes.c_int, ctypes.c_int,
np.ctypeslib.ndpointer(dtype=np.intc,
flags=native_str('C_CONTIGUOUS'))]
utilslib.multi_normxcorr_fftw.restype = ctypes.c_int
'''
Arguments are:
templates (stacked [ch_1-t_1, ch_1-t_2, ..., ch_2-t_1, ch_2-t_2, ...])
number of templates
template length
number of channels
image (stacked [ch_1, ch_2, ..., ch_n])
image length
cross-correlations (stacked as per image)
fft-length
used channels (stacked as per templates)
pad array (stacked as per templates)
'''
# pre processing
used_chans = []
template_len = template_array[seed_ids[0]].shape[1]
for seed_id in seed_ids:
used_chans.append(~np.isnan(template_array[seed_id]).any(axis=1))
template_array[seed_id] = (
(template_array[seed_id] -
template_array[seed_id].mean(axis=-1, keepdims=True)) / (
template_array[seed_id].std(axis=-1, keepdims=True) *
template_len))
template_array[seed_id] = np.nan_to_num(template_array[seed_id])
n_channels = len(seed_ids)
n_templates = template_array[seed_ids[0]].shape[0]
image_len = stream_array[seed_ids[0]].shape[0]
fft_len = next_fast_len(template_len + image_len - 1)
template_array = np.ascontiguousarray([template_array[x]
for x in seed_ids],
dtype=np.float32)
for x in seed_ids:
# Check that stream is non-zero and above variance threshold
if not np.all(stream_array[x] == 0) and np.var(stream_array[x]) < 1e-8:
# Apply gain
stream_array *= 1e8
warnings.warn("Low variance found for {0}, applying gain "
"to stabilise correlations".format(x))
stream_array = np.ascontiguousarray([stream_array[x] for x in seed_ids],
dtype=np.float32)
cccs = np.zeros((n_templates, image_len - template_len + 1),
np.float32)
used_chans_np = np.ascontiguousarray(used_chans, dtype=np.intc)
pad_array_np = np.ascontiguousarray([pad_array[seed_id]
for seed_id in seed_ids],
dtype=np.intc)
variance_warnings = np.ascontiguousarray(
np.zeros(n_channels), dtype=np.intc)
# call C function
ret = utilslib.multi_normxcorr_fftw(
template_array, n_templates, template_len, n_channels, stream_array,
image_len, cccs, fft_len, used_chans_np, pad_array_np, cores_outer,
cores_inner, variance_warnings)
if ret < 0:
raise MemoryError("Memory allocation failed in correlation C-code")
elif ret not in [0, 999]:
print('Error in C code (possible normalisation error)')
print('Maximum cccs %f at %s' %
(cccs.max(), np.unravel_index(cccs.argmax(), cccs.shape)))
print('Minimum cccs %f at %s' %
(cccs.min(), np.unravel_index(cccs.argmin(), cccs.shape)))
raise CorrelationError("Internal correlation error")
elif ret == 999:
warnings.warn("Some correlations not computed, are there "
"zeros in data? If not, consider increasing gain.")
for i, variance_warning in enumerate(variance_warnings):
if variance_warning and variance_warning > template_len:
warnings.warn("Low variance found in {0} places for {1},"
" check result.".format(variance_warning,
seed_ids[i]))
return cccs, used_chans | [
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| python | train | 44.045045 |
google/apitools | apitools/base/py/transfer.py | https://github.com/google/apitools/blob/f3745a7ea535aa0e88b0650c16479b696d6fd446/apitools/base/py/transfer.py#L499-L504 | def StreamInChunks(self, callback=None, finish_callback=None,
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| python | train | 56.666667 |
portfors-lab/sparkle | sparkle/gui/plotting/protocoldisplay.py | https://github.com/portfors-lab/sparkle/blob/5fad1cf2bec58ec6b15d91da20f6236a74826110/sparkle/gui/plotting/protocoldisplay.py#L85-L88 | def showSpec(self, fname):
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| python | train | 46.5 |
UCL-INGI/INGInious | inginious/frontend/installer.py | https://github.com/UCL-INGI/INGInious/blob/cbda9a9c7f2b8e8eb1e6d7d51f0d18092086300c/inginious/frontend/installer.py#L91-L164 | def run(self):
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self._display_header("BACKEND CONFIGURATION")
options = {}
while True:
options = {}
backend = self.ask_backend()
if backend == "local":
self._display_info("Backend chosen: local. Testing the configuration.")
options = self._ask_local_config()
if not self.test_local_docker_conf():
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break
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self._display_warning(
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options = {"backend": backend}
break
self._display_header("MONGODB CONFIGURATION")
mongo_opt = self.configure_mongodb()
options.update(mongo_opt)
self._display_header("TASK DIRECTORY")
task_directory_opt = self.configure_task_directory()
options.update(task_directory_opt)
self._display_header("CONTAINERS")
self.configure_containers(options)
self._display_header("MISC")
misc_opt = self.configure_misc()
options.update(misc_opt)
database = self.try_mongodb_opts(options["mongo_opt"]["host"], options["mongo_opt"]["database"])
self._display_header("BACKUP DIRECTORY")
backup_directory_opt = self.configure_backup_directory()
options.update(backup_directory_opt)
self._display_header("AUTHENTIFICATION")
auth_opts = self.configure_authentication(database)
options.update(auth_opts)
self._display_info("You may want to add additional plugins to the configuration file.")
self._display_header("REMOTE DEBUGGING - IN BROWSER")
self._display_info(
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self._display_info(
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webterm = self._ask_with_default(
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if webterm != "":
options["webterm"] = webterm
self._display_header("END")
file_dir = self._config_path or os.path.join(os.getcwd(), self.configuration_filename())
try:
yaml.dump(options, open(file_dir, "w"))
self._display_info("Successfully written the configuration file")
except:
self._display_error("Cannot write the configuration file on disk. Here is the content of the file")
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| python | train | 46.581081 |
glue-viz/glue-vispy-viewers | glue_vispy_viewers/extern/vispy/util/config.py | https://github.com/glue-viz/glue-vispy-viewers/blob/54a4351d98c1f90dfb1a557d1b447c1f57470eea/glue_vispy_viewers/extern/vispy/util/config.py#L35-L88 | def _init():
""" Create global Config object, parse command flags
"""
global config, _data_path, _allowed_config_keys
app_dir = _get_vispy_app_dir()
if app_dir is not None:
_data_path = op.join(app_dir, 'data')
_test_data_path = op.join(app_dir, 'test_data')
else:
_data_path = _test_data_path = None
# All allowed config keys and the types they may have
_allowed_config_keys = {
'data_path': string_types,
'default_backend': string_types,
'gl_backend': string_types,
'gl_debug': (bool,),
'glir_file': string_types+file_types,
'include_path': list,
'logging_level': string_types,
'qt_lib': string_types,
'dpi': (int, type(None)),
'profile': string_types + (type(None),),
'audit_tests': (bool,),
'test_data_path': string_types + (type(None),),
}
# Default values for all config options
default_config_options = {
'data_path': _data_path,
'default_backend': '',
'gl_backend': 'gl2',
'gl_debug': False,
'glir_file': '',
'include_path': [],
'logging_level': 'info',
'qt_lib': 'any',
'dpi': None,
'profile': None,
'audit_tests': False,
'test_data_path': _test_data_path,
}
config = Config(**default_config_options)
try:
config.update(**_load_config())
except Exception as err:
raise Exception('Error while reading vispy config file "%s":\n %s' %
(_get_config_fname(), err.message))
set_log_level(config['logging_level'])
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| python | train | 30.092593 |
PyHDI/Pyverilog | pyverilog/vparser/parser.py | https://github.com/PyHDI/Pyverilog/blob/b852cc5ed6a7a2712e33639f9d9782d0d1587a53/pyverilog/vparser/parser.py#L1865-L1868 | def p_instance_port_arg(self, p):
'instance_port_arg : DOT ID LPAREN identifier RPAREN'
p[0] = PortArg(p[2], p[4], lineno=p.lineno(1))
p.set_lineno(0, p.lineno(1)) | [
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| python | train | 46 |
deepmind/sonnet | sonnet/python/modules/pondering_rnn.py | https://github.com/deepmind/sonnet/blob/00612ca3178964d86b556e062694d808ff81fcca/sonnet/python/modules/pondering_rnn.py#L166-L211 | def _build(self, x, prev_state):
"""Connects the core to the graph.
Args:
x: Input `Tensor` of shape `(batch_size, input_size)`.
prev_state: Previous state. This could be a `Tensor`, or a tuple of
`Tensor`s.
Returns:
The tuple `(output, state)` for this core.
Raises:
ValueError: if the `Tensor` `x` does not have rank 2.
"""
x.get_shape().with_rank(2)
self._batch_size = x.get_shape().as_list()[0]
self._dtype = x.dtype
x_zeros = tf.concat(
[x, tf.zeros(
shape=(self._batch_size, 1), dtype=self._dtype)], 1)
x_ones = tf.concat(
[x, tf.ones(
shape=(self._batch_size, 1), dtype=self._dtype)], 1)
# Weights for the halting signal
halting_linear = basic.Linear(name="halting_linear", output_size=1)
body = functools.partial(
self._body, halting_linear=halting_linear, x_ones=x_ones)
cumul_halting_init = tf.zeros(shape=(self._batch_size, 1),
dtype=self._dtype)
iteration_init = tf.zeros(shape=(self._batch_size, 1), dtype=self._dtype)
core_output_size = [x.value for x in self._core.output_size]
out_init = tf.zeros(shape=(self._batch_size,) + tuple(core_output_size),
dtype=self._dtype)
cumul_state_init = _nested_zeros_like(prev_state)
remainder_init = tf.zeros(shape=(self._batch_size, 1), dtype=self._dtype)
(unused_final_x, final_out, unused_final_state, final_cumul_state,
unused_final_halting, final_iteration, final_remainder) = tf.while_loop(
self._cond, body, [x_zeros, out_init, prev_state, cumul_state_init,
cumul_halting_init, iteration_init, remainder_init])
act_output = basic.Linear(
name="act_output_linear", output_size=self._output_size)(final_out)
return (act_output, (final_iteration, final_remainder)), final_cumul_state | [
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Returns:
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| python | train | 40.847826 |
Calysto/calysto | calysto/ai/conx.py | https://github.com/Calysto/calysto/blob/20813c0f48096317aa775d03a5c6b20f12fafc93/calysto/ai/conx.py#L1064-L1088 | def addLayerNode(self, layerName, bias = None, weights = {}):
"""
Adds a new node to a layer, and puts in new weights. Adds node on the end.
Weights will be random, unless specified.
bias = the new node's bias weight
weights = dict of {connectedLayerName: [weights], ...}
Example:
>>> net = Network() # doctest: +ELLIPSIS
Conx using seed: ...
>>> net.addLayers(2, 5, 1)
>>> net.addLayerNode("hidden", bias = -0.12, weights = {"input": [1, 0], "output": [0]})
"""
self.changeLayerSize(layerName, self[layerName].size + 1)
if bias != None:
self[layerName].weight[-1] = bias
for name in list(weights.keys()):
for c in self.connections:
if c.fromLayer.name == name and c.toLayer.name == layerName:
for i in range(self[name].size):
self[name, layerName].weight[i][-1] = weights[name][i]
elif c.toLayer.name == name and c.fromLayer.name == layerName:
for j in range(self[name].size):
self[layerName, name].weight[-1][j] = weights[name][j] | [
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| python | train | 46.76 |
mrcagney/gtfstk | gtfstk/trips.py | https://github.com/mrcagney/gtfstk/blob/c91494e6fefc02523889655a0dc92d1c0eee8d03/gtfstk/trips.py#L22-L83 | def is_active_trip(feed: "Feed", trip_id: str, date: str) -> bool:
"""
Return ``True`` if the ``feed.calendar`` or ``feed.calendar_dates``
says that the trip runs on the given date; return ``False``
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Note that a trip that starts on date d, ends after 23:59:59, and
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This subtle point, which is a side effect of the GTFS, can
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Parameters
----------
feed : Feed
trip_id : string
ID of a trip in ``feed.trips``
date : string
YYYYMMDD date string
Returns
-------
boolean
``True`` if and only if the given trip starts on the given
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Notes
-----
- This function is key for getting all trips, routes, etc. that are
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- Assume the following feed attributes are not ``None``:
* ``feed.trips``
"""
service = feed._trips_i.at[trip_id, "service_id"]
# Check feed._calendar_dates_g.
caldg = feed._calendar_dates_g
if caldg is not None:
if (service, date) in caldg.groups:
et = caldg.get_group((service, date))["exception_type"].iat[0]
if et == 1:
return True
else:
# Exception type is 2
return False
# Check feed._calendar_i
cali = feed._calendar_i
if cali is not None:
if service in cali.index:
weekday_str = hp.weekday_to_str(hp.datestr_to_date(date).weekday())
if (
cali.at[service, "start_date"]
<= date
<= cali.at[service, "end_date"]
and cali.at[service, weekday_str] == 1
):
return True
else:
return False
# If you made it here, then something went wrong
return False | [
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date : string
YYYYMMDD date string
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-----
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| python | train | 30.612903 |
chaoss/grimoirelab-perceval | perceval/backends/core/bugzillarest.py | https://github.com/chaoss/grimoirelab-perceval/blob/41c908605e88b7ebc3a536c643fa0f212eaf9e0e/perceval/backends/core/bugzillarest.py#L79-L96 | def fetch(self, category=CATEGORY_BUG, from_date=DEFAULT_DATETIME):
"""Fetch the bugs from the repository.
The method retrieves, from a Bugzilla repository, the bugs
updated since the given date.
:param category: the category of items to fetch
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if not from_date:
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kwargs = {'from_date': from_date}
items = super().fetch(category, **kwargs)
return items | [
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| python | test | 30.833333 |
samghelms/mathviz | mathviz_hopper/src/bottle.py | https://github.com/samghelms/mathviz/blob/30fe89537379faea4de8c8b568ac6e52e4d15353/mathviz_hopper/src/bottle.py#L2546-L2579 | def _make_overlay(self):
""" (Unstable) Create a new overlay that acts like a chained map: Values
missing in the overlay are copied from the source map. Both maps
share the same meta entries.
Entries that were copied from the source are called 'virtual'. You
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into non-virtual entries. Setting keys on an overlay never affects
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on-change handler in an overlay stops the propagation of virtual
values and may result in an partly updated tree. Take extra care
here and make sure that on-change handlers never fail.
Used by Route.config
"""
# Cleanup dead references
self._overlays[:] = [ref for ref in self._overlays if ref() is not None]
overlay = ConfigDict()
overlay._meta = self._meta
overlay._source = self
self._overlays.append(weakref.ref(overlay))
for key in self:
overlay._set_virtual(key, self[key])
return overlay | [
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| python | train | 48.117647 |
mozilla/elasticutils | elasticutils/contrib/django/__init__.py | https://github.com/mozilla/elasticutils/blob/b880cc5d51fb1079b0581255ec664c1ec934656e/elasticutils/contrib/django/__init__.py#L225-L246 | def get_index(cls):
"""Gets the index for this model.
The index for this model is specified in `settings.ES_INDEXES`
which is a dict of mapping type -> index name.
By default, this uses `.get_mapping_type()` to determine the
mapping and returns the value in `settings.ES_INDEXES` for that
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Override this to compute it differently.
:returns: index name to use
"""
indexes = settings.ES_INDEXES
index = indexes.get(cls.get_mapping_type_name()) or indexes['default']
if not (isinstance(index, six.string_types)):
# FIXME - not sure what to do here, but we only want one
# index and somehow this isn't one index.
index = index[0]
return index | [
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| python | train | 36.363636 |
glomex/gcdt | gcdt/ramuda_core.py | https://github.com/glomex/gcdt/blob/cd67cf416371337b83cb9ca3f696277125703339/gcdt/ramuda_core.py#L623-L635 | def cleanup_bundle():
"""Deletes files used for creating bundle.
* vendored/*
* bundle.zip
"""
paths = ['./vendored', './bundle.zip']
for path in paths:
if os.path.exists(path):
log.debug("Deleting %s..." % path)
if os.path.isdir(path):
shutil.rmtree(path)
else:
os.remove(path) | [
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| python | train | 28.769231 |
django-treebeard/django-treebeard | treebeard/ns_tree.py | https://github.com/django-treebeard/django-treebeard/blob/8042ee939cb45394909237da447f8925e3cc6aa3/treebeard/ns_tree.py#L613-L620 | def get_descendants(self):
"""
:returns: A queryset of all the node's descendants as DFS, doesn't
include the node itself
"""
if self.is_leaf():
return get_result_class(self.__class__).objects.none()
return self.__class__.get_tree(self).exclude(pk=self.pk) | [
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| python | train | 39.125 |
benhoff/pluginmanager | pluginmanager/file_manager.py | https://github.com/benhoff/pluginmanager/blob/a8a184f9ebfbb521703492cb88c1dbda4cd04c06/pluginmanager/file_manager.py#L219-L233 | def _filter_filepaths(self, filepaths):
"""
helps iterate through all the file parsers
each filter is applied individually to the
same set of `filepaths`
"""
if self.file_filters:
plugin_filepaths = set()
for file_filter in self.file_filters:
plugin_paths = file_filter(filepaths)
plugin_filepaths.update(plugin_paths)
else:
plugin_filepaths = filepaths
return plugin_filepaths | [
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| python | train | 33.066667 |
ergoithz/browsepy | browsepy/stream.py | https://github.com/ergoithz/browsepy/blob/1612a930ef220fae507e1b152c531707e555bd92/browsepy/stream.py#L54-L76 | def fill(self):
'''
Writes data on internal tarfile instance, which writes to current
object, using :meth:`write`.
As this method is blocking, it is used inside a thread.
This method is called automatically, on a thread, on initialization,
so there is little need to call it manually.
'''
if self.exclude:
exclude = self.exclude
ap = functools.partial(os.path.join, self.path)
self._tarfile.add(
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filter=lambda info: None if exclude(ap(info.name)) else info
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else:
self._tarfile.add(self.path, "")
self._tarfile.close() # force stream flush
self._finished += 1
if not self._result.is_set():
self._result.set() | [
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| python | train | 35.173913 |
databio/pypiper | pypiper/manager.py | https://github.com/databio/pypiper/blob/00e6c2b94033c4187d47ff14c5580bbfc2ff097f/pypiper/manager.py#L1310-L1326 | def _make_lock_path(self, lock_name_base):
"""
Create path to lock file with given name as base.
:param str lock_name_base: Lock file name, designed to not be prefixed
with the lock file designation, but that's permitted.
:return str: Path to the lock file.
"""
# For lock prefix validation, separate file name from other path
# components, as we care about the name prefix not path prefix.
base, name = os.path.split(lock_name_base)
lock_name = self._ensure_lock_prefix(name)
if base:
lock_name = os.path.join(base, lock_name)
return pipeline_filepath(self, filename=lock_name) | [
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| python | train | 40.352941 |
spacetelescope/stsci.tools | lib/stsci/tools/validate.py | https://github.com/spacetelescope/stsci.tools/blob/9a022503ad24ca54ce83331482dfa3ff6de9f403/lib/stsci/tools/validate.py#L777-L831 | def is_integer(value, min=None, max=None):
"""
A check that tests that a given value is an integer (int, or long)
and optionally, between bounds. A negative value is accepted, while
a float will fail.
If the value is a string, then the conversion is done - if possible.
Otherwise a VdtError is raised.
>>> vtor = Validator()
>>> vtor.check('integer', '-1')
-1
>>> vtor.check('integer', '0')
0
>>> vtor.check('integer', 9)
9
>>> vtor.check('integer', 'a') # doctest: +SKIP
Traceback (most recent call last):
VdtTypeError: the value "a" is of the wrong type.
>>> vtor.check('integer', '2.2') # doctest: +SKIP
Traceback (most recent call last):
VdtTypeError: the value "2.2" is of the wrong type.
>>> vtor.check('integer(10)', '20')
20
>>> vtor.check('integer(max=20)', '15')
15
>>> vtor.check('integer(10)', '9') # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooSmallError: the value "9" is too small.
>>> vtor.check('integer(10)', 9) # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooSmallError: the value "9" is too small.
>>> vtor.check('integer(max=20)', '35') # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooBigError: the value "35" is too big.
>>> vtor.check('integer(max=20)', 35) # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooBigError: the value "35" is too big.
>>> vtor.check('integer(0, 9)', False)
0
"""
(min_val, max_val) = _is_num_param(('min', 'max'), (min, max))
if not isinstance(value, int_or_string_types):
raise VdtTypeError(value)
if isinstance(value, string_types):
# if it's a string - does it represent an integer ?
try:
value = int(value)
except ValueError:
raise VdtTypeError(value)
if (min_val is not None) and (value < min_val):
raise VdtValueTooSmallError(value)
if (max_val is not None) and (value > max_val):
raise VdtValueTooBigError(value)
return value | [
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>>> vtor = Validator()
>>> vtor.check('integer', '-1')
-1
>>> vtor.check('integer', '0')
0
>>> vtor.check('integer', 9)
9
>>> vtor.check('integer', 'a') # doctest: +SKIP
Traceback (most recent call last):
VdtTypeError: the value "a" is of the wrong type.
>>> vtor.check('integer', '2.2') # doctest: +SKIP
Traceback (most recent call last):
VdtTypeError: the value "2.2" is of the wrong type.
>>> vtor.check('integer(10)', '20')
20
>>> vtor.check('integer(max=20)', '15')
15
>>> vtor.check('integer(10)', '9') # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooSmallError: the value "9" is too small.
>>> vtor.check('integer(10)', 9) # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooSmallError: the value "9" is too small.
>>> vtor.check('integer(max=20)', '35') # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooBigError: the value "35" is too big.
>>> vtor.check('integer(max=20)', 35) # doctest: +SKIP
Traceback (most recent call last):
VdtValueTooBigError: the value "35" is too big.
>>> vtor.check('integer(0, 9)', False)
0 | [
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| python | train | 37.163636 |
sbuss/pypercube | pypercube/metric.py | https://github.com/sbuss/pypercube/blob/e9d2cca9c004b8bad6d1e0b68b080f887a186a22/pypercube/metric.py#L25-L48 | def from_json(cls, json_obj):
"""Build a MetricResponse from JSON.
:param json_obj: JSON data representing a Cube Metric.
:type json_obj: `String` or `json`
:throws: `InvalidMetricError` when any of {type,time,data} fields are
not present in json_obj.
"""
if isinstance(json_obj, str):
json_obj = json.loads(json_obj)
time = None
value = None
if cls.TIME_FIELD_NAME in json_obj:
time = json_obj[cls.TIME_FIELD_NAME]
else:
raise InvalidMetricError("{field} must be present!".format(
field=cls.TIME_FIELD_NAME))
if cls.VALUE_FIELD_NAME in json_obj:
value = json_obj[cls.VALUE_FIELD_NAME]
return cls(time, value) | [
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| python | train | 31.625 |
zimeon/iiif | iiif/flask_utils.py | https://github.com/zimeon/iiif/blob/9d10018d01202fa2a76dfa61598dc6eca07b471f/iiif/flask_utils.py#L384-L404 | def iiif_info_handler(prefix=None, identifier=None,
config=None, klass=None, auth=None, **args):
"""Handler for IIIF Image Information requests."""
if (not auth or degraded_request(identifier) or auth.info_authz()):
# go ahead with request as made
if (auth):
logging.debug("Authorized for image %s" % identifier)
i = IIIFHandler(prefix, identifier, config, klass, auth)
try:
return i.image_information_response()
except IIIFError as e:
return i.error_response(e)
elif (auth.info_authn()):
# authn but not authz -> 401
abort(401)
else:
# redirect to degraded
response = redirect(host_port_prefix(
config.host, config.port, prefix) + '/' + identifier + '-deg/info.json')
response.headers['Access-control-allow-origin'] = '*'
return response | [
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| python | train | 42.47619 |
cltl/KafNafParserPy | KafNafParserPy/term_data.py | https://github.com/cltl/KafNafParserPy/blob/9bc32e803c176404b255ba317479b8780ed5f569/KafNafParserPy/term_data.py#L327-L336 | def get_term(self,term_id):
"""
Returns the term object for the supplied identifier
@type term_id: string
@param term_id: term identifier
"""
if term_id in self.idx:
return Cterm(self.idx[term_id],self.type)
else:
return None | [
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| python | train | 29.6 |
RiotGames/cloud-inquisitor | plugins/public/cinq-collector-aws/cinq_collector_aws/account.py | https://github.com/RiotGames/cloud-inquisitor/blob/181dc2566ca59fc855f695b7fcc2c3b934e6ee9f/plugins/public/cinq-collector-aws/cinq_collector_aws/account.py#L558-L585 | def _get_resource_hash(zone_name, record):
"""Returns the last ten digits of the sha256 hash of the combined arguments. Useful for generating unique
resource IDs
Args:
zone_name (`str`): The name of the DNS Zone the record belongs to
record (`dict`): A record dict to generate the hash from
Returns:
`str`
"""
record_data = defaultdict(int, record)
if type(record_data['GeoLocation']) == dict:
record_data['GeoLocation'] = ":".join(["{}={}".format(k, v) for k, v in record_data['GeoLocation'].items()])
args = [
zone_name,
record_data['Name'],
record_data['Type'],
record_data['Weight'],
record_data['Region'],
record_data['GeoLocation'],
record_data['Failover'],
record_data['HealthCheckId'],
record_data['TrafficPolicyInstanceId']
]
return get_resource_id('r53r', args) | [
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| python | train | 35.142857 |
newville/asteval | asteval/asteval.py | https://github.com/newville/asteval/blob/bb7d3a95079f96ead75ea55662014bbcc82f9b28/asteval/asteval.py#L667-L681 | def on_for(self, node): # ('target', 'iter', 'body', 'orelse')
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| python | train | 35.533333 |
rhayes777/PyAutoFit | autofit/mapper/prior_model.py | https://github.com/rhayes777/PyAutoFit/blob/a9e6144abb08edfc6a6906c4030d7119bf8d3e14/autofit/mapper/prior_model.py#L593-L612 | def gaussian_prior_model_for_arguments(self, arguments):
"""
Parameters
----------
arguments: {Prior: float}
A dictionary of arguments
Returns
-------
prior_models: [PriorModel]
A new list of prior models with gaussian priors
"""
return CollectionPriorModel(
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key: value.gaussian_prior_model_for_arguments(arguments)
if isinstance(value, AbstractPriorModel)
else value
for key, value in self.__dict__.items() if key not in ('component_number', 'item_number', 'id')
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| python | train | 32.15 |
UCL-INGI/INGInious | inginious/frontend/pages/course_admin/student_list.py | https://github.com/UCL-INGI/INGInious/blob/cbda9a9c7f2b8e8eb1e6d7d51f0d18092086300c/inginious/frontend/pages/course_admin/student_list.py#L16-L19 | def GET_AUTH(self, courseid): # pylint: disable=arguments-differ
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course, __ = self.get_course_and_check_rights(courseid)
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| python | train | 46.75 |
kytos/python-openflow | pyof/foundation/base.py | https://github.com/kytos/python-openflow/blob/4f2d0d08ab28e102ed88fe57a4ee17729f1e1bb7/pyof/foundation/base.py#L547-L572 | def get_class_attributes(cls):
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for name, value in self.get_class_attributes():
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generator: tuples with attribute name and value.
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#: see this method docstring for a important notice about the use of
#: cls.__dict__
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| python | train | 43.538462 |
jrigden/pyPodcastParser | pyPodcastParser/Item.py | https://github.com/jrigden/pyPodcastParser/blob/b21e027bb56ec77986d76fc1990f4e420c6de869/pyPodcastParser/Item.py#L183-L188 | def set_title(self):
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| python | train | 31.166667 |
django-danceschool/django-danceschool | danceschool/stats/stats.py | https://github.com/django-danceschool/django-danceschool/blob/bb08cbf39017a812a5a94bdb4ea34170bf1a30ba/danceschool/stats/stats.py#L376-L451 | def getMonthlyPerformance():
'''
This function does the work of compiling monthly performance data
that can either be rendered as CSV or as JSON
'''
when_all = {
'eventregistration__dropIn': False,
'eventregistration__cancelled': False,
}
# Get objects at the Series level so that we can calculate StudentHours
series_counts = list(Series.objects.annotate(
eventregistrations=Sum(Case(When(Q(**when_all),then=1),output_field=IntegerField())),)
.values('year','month','eventregistrations','duration'))
for series in series_counts:
series['studenthours'] = (series.get('eventregistrations') or 0) * (series.get('duration') or 0)
all_years = set([x['year'] for x in series_counts])
dataseries_list = ['EventRegistrations', 'Registrations','Hours','StudentHours','AvgStudents']
yearTotals = {}
# Initialize dictionaries
for dataseries in dataseries_list:
yearTotals[dataseries] = {'MonthlyAverage': {}}
for year in all_years:
yearTotals[dataseries][year] = {}
# Fill in by year and month for a cleaner looping process
for year in all_years:
# Monthly Totals
for month in range(1,13):
# Total EventRegistrations per month is retrieved by the query above.
yearTotals['EventRegistrations'][year][month] = sum([x['eventregistrations'] or 0 for x in series_counts if x['month'] == month and x['year'] == year])
# Total Registrations per month and hours per month require a separate query for each month
yearTotals['Registrations'][year][month] = len(Registration.objects.filter(eventregistration__dropIn=False, eventregistration__cancelled=False,eventregistration__event__year=year,eventregistration__event__month=month).distinct())
yearTotals['Hours'][year][month] = sum([x['duration'] or 0 for x in series_counts if x['month'] == month and x['year'] == year])
yearTotals['StudentHours'][year][month] = sum([x['studenthours'] or 0 for x in series_counts if x['month'] == month and x['year'] == year])
if yearTotals['Hours'][year][month] > 0:
yearTotals['AvgStudents'][year][month] = yearTotals['StudentHours'][year][month] / float(yearTotals['Hours'][year][month])
else:
yearTotals['AvgStudents'][year][month] = 0
# Annual Totals
for sub_series in ['EventRegistrations','Registrations','Hours','StudentHours']:
yearTotals[sub_series][year]['Total'] = sum([x for x in yearTotals[sub_series][year].values()])
# Annual (Monthly) Averages
month_count = len([x for k,x in yearTotals['Hours'][year].items() if k in range(1,13) and x > 0])
if month_count > 0:
for sub_series in ['EventRegistrations','Registrations','Hours','StudentHours']:
yearTotals[sub_series][year]['Average'] = yearTotals[sub_series][year]['Total'] / float(month_count)
yearTotals['AvgStudents'][year]['Average'] = yearTotals['StudentHours'][year]['Total'] / float(yearTotals['Hours'][year]['Total'])
# Monthly Averages
for month in range(1,13):
yearly_hours_data = [x[month] for k,x in yearTotals['Hours'].items() if k in all_years and x[month] > 0]
yearly_studenthours_data = [x[month] for k,x in yearTotals['StudentHours'].items() if k in all_years and x[month] > 0]
yearly_eventregistrations_data = [x[month] for k,x in yearTotals['EventRegistrations'].items() if k in all_years and yearTotals['Hours'][k][month] > 0]
yearly_registrations_data = [x[month] for k,x in yearTotals['Registrations'].items() if k in all_years and yearTotals['Hours'][k][month] > 0]
year_count = len(yearly_hours_data)
if year_count > 0:
yearTotals['EventRegistrations']['MonthlyAverage'][month] = sum([x for x in yearly_eventregistrations_data]) / year_count
yearTotals['Registrations']['MonthlyAverage'][month] = sum([x for x in yearly_registrations_data]) / year_count
yearTotals['Hours']['MonthlyAverage'][month] = sum([x for x in yearly_hours_data]) / year_count
yearTotals['StudentHours']['MonthlyAverage'][month] = sum([x for x in yearly_studenthours_data]) / year_count
yearTotals['AvgStudents']['MonthlyAverage'][month] = yearTotals['StudentHours']['MonthlyAverage'][month] / float(yearTotals['Hours']['MonthlyAverage'][month])
return yearTotals | [
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| python | train | 58.171053 |
cloudmesh/cloudmesh-common | cloudmesh/common/TableParser.py | https://github.com/cloudmesh/cloudmesh-common/blob/ae4fae09cd78205d179ea692dc58f0b0c8fea2b8/cloudmesh/common/TableParser.py#L104-L117 | def _get_headers(self):
"""
assumes comment have been stripped with extract
:return:
"""
header = self.lines[0]
self.lines = self.lines[1:]
self.headers = \
[self.clean(h) for h in header.split(self.seperator)]
if self.is_strip:
self.headers = self.headers[1:-1]
return self.headers | [
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| python | train | 26.214286 |
wavefrontHQ/python-client | wavefront_api_client/api/dashboard_api.py | https://github.com/wavefrontHQ/python-client/blob/b0f1046a8f68c2c7d69e395f7167241f224c738a/wavefront_api_client/api/dashboard_api.py#L1201-L1222 | def remove_dashboard_tag(self, id, tag_value, **kwargs): # noqa: E501
"""Remove a tag from a specific dashboard # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.remove_dashboard_tag(id, tag_value, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str id: (required)
:param str tag_value: (required)
:return: ResponseContainer
If the method is called asynchronously,
returns the request thread.
"""
kwargs['_return_http_data_only'] = True
if kwargs.get('async_req'):
return self.remove_dashboard_tag_with_http_info(id, tag_value, **kwargs) # noqa: E501
else:
(data) = self.remove_dashboard_tag_with_http_info(id, tag_value, **kwargs) # noqa: E501
return data | [
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| python | train | 43.772727 |
materialsproject/pymatgen | pymatgen/core/molecular_orbitals.py | https://github.com/materialsproject/pymatgen/blob/4ca558cf72f8d5f8a1f21dfdfc0181a971c186da/pymatgen/core/molecular_orbitals.py#L83-L119 | def obtain_band_edges(self):
'''
Fill up the atomic orbitals with available electrons.
Return HOMO, LUMO, and whether it's a metal.
'''
orbitals = self.aos_as_list()
electrons = Composition(self.composition).total_electrons
partial_filled = []
for orbital in orbitals:
if electrons <= 0:
break
if 's' in orbital[1]:
electrons += -2
elif 'p' in orbital[1]:
electrons += -6
elif 'd' in orbital[1]:
electrons += -10
elif 'f' in orbital[1]:
electrons += -14
partial_filled.append(orbital)
if electrons != 0:
homo = partial_filled[-1]
lumo = partial_filled[-1]
else:
homo = partial_filled[-1]
try:
lumo = orbitals[len(partial_filled)]
except:
lumo = None
if homo == lumo:
metal = True
else:
metal = False
return {'HOMO': homo, 'LUMO': lumo, 'metal': metal} | [
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| python | train | 29.459459 |
jwhitlock/drf-cached-instances | drf_cached_instances/models.py | https://github.com/jwhitlock/drf-cached-instances/blob/ec4e8a6e1e83eeea6ec0b924b2eaa40a38d5963a/drf_cached_instances/models.py#L46-L55 | def values_list(self, *args, **kwargs):
"""Return the primary keys as a list.
The only valid call is values_list('pk', flat=True)
"""
flat = kwargs.pop('flat', False)
assert flat is True
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assert args[0] == self.model._meta.pk.name
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| python | train | 32.3 |
tango-controls/pytango | tango/device_class.py | https://github.com/tango-controls/pytango/blob/9cf78c517c9cdc1081ff6d080a9646a740cc1d36/tango/device_class.py#L91-L117 | def get_class_properties(self, dev_class, class_prop):
"""
get_class_properties(self, dev_class, class_prop) -> None
Returns the class properties
Parameters :
- dev_class : (DeviceClass) the DeviceClass object
- class_prop : [in, out] (dict<str, None>) the property names. Will be filled
with property values
Return : None"""
# initialize default values
if class_prop == {} or not Util._UseDb:
return
# call database to get properties
props = self.db.get_class_property(dev_class.get_name(), list(class_prop.keys()))
# if value defined in database, store it
for name in class_prop:
if props[name]:
type = self.get_property_type(name, class_prop)
values = self.stringArray2values(props[name], type)
self.set_property_values(name, class_prop, values)
else:
print(name + " property NOT found in database") | [
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- class_prop : [in, out] (dict<str, None>) the property names. Will be filled
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| python | train | 40 |
pytorch/ignite | ignite/handlers/timing.py | https://github.com/pytorch/ignite/blob/a96bd07cb58822cfb39fd81765135712f1db41ca/ignite/handlers/timing.py#L87-L116 | def attach(self, engine, start=Events.STARTED, pause=Events.COMPLETED, resume=None, step=None):
""" Register callbacks to control the timer.
Args:
engine (Engine):
Engine that this timer will be attached to.
start (Events):
Event which should start (reset) the timer.
pause (Events):
Event which should pause the timer.
resume (Events, optional):
Event which should resume the timer.
step (Events, optional):
Event which should call the `step` method of the counter.
Returns:
self (Timer)
"""
engine.add_event_handler(start, self.reset)
engine.add_event_handler(pause, self.pause)
if resume is not None:
engine.add_event_handler(resume, self.resume)
if step is not None:
engine.add_event_handler(step, self.step)
return self | [
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Event which should pause the timer.
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| python | train | 31.666667 |
ungarj/tilematrix | tilematrix/_tilepyramid.py | https://github.com/ungarj/tilematrix/blob/6f8cd3b85f61434a7ce5d7b635c3ad8f18ccb268/tilematrix/_tilepyramid.py#L196-L204 | def tiles_from_bbox(self, geometry, zoom):
"""
All metatiles intersecting with given bounding box.
- geometry: shapely geometry
- zoom: zoom level
"""
validate_zoom(zoom)
return self.tiles_from_bounds(geometry.bounds, zoom) | [
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| python | train | 30.222222 |
python-gitlab/python-gitlab | gitlab/v4/objects.py | https://github.com/python-gitlab/python-gitlab/blob/16de1b03fde3dbbe8f851614dd1d8c09de102fe5/gitlab/v4/objects.py#L2277-L2291 | def changes(self, **kwargs):
"""List the merge request changes.
Args:
**kwargs: Extra options to send to the server (e.g. sudo)
Raises:
GitlabAuthenticationError: If authentication is not correct
GitlabListError: If the list could not be retrieved
Returns:
RESTObjectList: List of changes
"""
path = '%s/%s/changes' % (self.manager.path, self.get_id())
return self.manager.gitlab.http_get(path, **kwargs) | [
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| python | train | 33.133333 |
ekzhu/datasketch | datasketch/minhash.py | https://github.com/ekzhu/datasketch/blob/b3e4129987890a2beb04f2c0b6dc618ae35f2e14/datasketch/minhash.py#L156-L164 | def count(self):
'''Estimate the cardinality count based on the technique described in
`this paper <http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=365694>`_.
Returns:
int: The estimated cardinality of the set represented by this MinHash.
'''
k = len(self)
return np.float(k) / np.sum(self.hashvalues / np.float(_max_hash)) - 1.0 | [
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"jsp?arnumber",
"=",
"365694",
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"_",
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| python | test | 42.888889 |
coldfix/udiskie | udiskie/udisks2.py | https://github.com/coldfix/udiskie/blob/804c9d27df6f7361fec3097c432398f2d702f911/udiskie/udisks2.py#L357-L366 | def drive(self):
"""Get wrapper to the drive containing this device."""
if self.is_drive:
return self
cleartext = self.luks_cleartext_slave
if cleartext:
return cleartext.drive
if self.is_block:
return self._daemon[self._P.Block.Drive]
return None | [
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| python | train | 32.2 |
twidi/py-dataql | dataql/solvers/resources.py | https://github.com/twidi/py-dataql/blob/5841a3fd559829193ed709c255166085bdde1c52/dataql/solvers/resources.py#L112-L192 | def solve_value(self, value, resource):
"""Solve a resource with a value, without coercing.
Arguments
---------
value : ?
A value to solve in combination with the given resource. The first filter of the
resource will be applied on this value (next filters on the result of the previous
filter).
resource : dataql.resources.Resource
An instance of a subclass of ``Resource`` to solve with the given value.
Returns
-------
The result of all filters applied on the value for the first filter, and result of the
previous filter for next filters.
Example
-------
>>> from dataql.solvers.registry import Registry
>>> registry = Registry()
>>> from datetime import date
>>> registry.register(date, allow_class=True)
>>> registry.register(str)
>>> class MySolver(Solver):
... def coerce(self, value, resource): return value
>>> solver = MySolver(registry)
>>> from dataql.resources import Filter, NamedArg, PosArg, SliceFilter
>>> field = Field(None,
... filters=[
... Filter(name='fromtimestamp', args=[PosArg(1433109600)]),
... Filter(name='replace', args=[NamedArg('year', '=', 2014)]),
... Filter(name='strftime', args=[PosArg('%F')]),
... Filter(name='replace', args=[PosArg('2014'), PosArg('2015')]),
... ]
... )
>>> solver.solve_value(date, field)
'2015-06-01'
>>> solver.solve_value(None, field)
>>> d = {'foo': {'date': date(2015, 6, 1)}, 'bar': {'date': None}, 'baz': [{'date': None}]}
>>> registry.register(dict)
>>> solver.solve_value(d, Field(None, filters=[
... Filter(name='foo'),
... Filter(name='date'),
... Filter(name='strftime', args=[PosArg('%F')]),
... ]))
'2015-06-01'
>>> solver.solve_value(d, Field(None, filters=[
... Filter(name='bar'),
... Filter(name='date'),
... Filter(name='strftime', args=[PosArg('%F')]),
... ]))
>>> solver.solve_value(d, Field(None, filters=[
... Filter(name='baz'),
... SliceFilter(0),
... Filter(name='date'),
... Filter(name='strftime', args=[PosArg('%F')]),
... ]))
# Example of how to raise a ``CannotSolve`` exception.
>>> from dataql.solvers.exceptions import CannotSolve
>>> raise CannotSolve(solver, Field('fromtimestamp'), date) # doctest: +ELLIPSIS
Traceback (most recent call last):
dataql...CannotSolve: Solver `<MySolver>` was not able to solve...`<Field[fromtimestamp]>`.
"""
# The given value is the starting point on which we apply the first filter.
result = value
# Apply filters one by one on the previous result.
if result is not None:
for filter_ in resource.filters:
result = self.registry.solve_filter(result, filter_)
if result is None:
break
return result | [
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Arguments
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A value to solve in combination with the given resource. The first filter of the
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filter).
resource : dataql.resources.Resource
An instance of a subclass of ``Resource`` to solve with the given value.
Returns
-------
The result of all filters applied on the value for the first filter, and result of the
previous filter for next filters.
Example
-------
>>> from dataql.solvers.registry import Registry
>>> registry = Registry()
>>> from datetime import date
>>> registry.register(date, allow_class=True)
>>> registry.register(str)
>>> class MySolver(Solver):
... def coerce(self, value, resource): return value
>>> solver = MySolver(registry)
>>> from dataql.resources import Filter, NamedArg, PosArg, SliceFilter
>>> field = Field(None,
... filters=[
... Filter(name='fromtimestamp', args=[PosArg(1433109600)]),
... Filter(name='replace', args=[NamedArg('year', '=', 2014)]),
... Filter(name='strftime', args=[PosArg('%F')]),
... Filter(name='replace', args=[PosArg('2014'), PosArg('2015')]),
... ]
... )
>>> solver.solve_value(date, field)
'2015-06-01'
>>> solver.solve_value(None, field)
>>> d = {'foo': {'date': date(2015, 6, 1)}, 'bar': {'date': None}, 'baz': [{'date': None}]}
>>> registry.register(dict)
>>> solver.solve_value(d, Field(None, filters=[
... Filter(name='foo'),
... Filter(name='date'),
... Filter(name='strftime', args=[PosArg('%F')]),
... ]))
'2015-06-01'
>>> solver.solve_value(d, Field(None, filters=[
... Filter(name='bar'),
... Filter(name='date'),
... Filter(name='strftime', args=[PosArg('%F')]),
... ]))
>>> solver.solve_value(d, Field(None, filters=[
... Filter(name='baz'),
... SliceFilter(0),
... Filter(name='date'),
... Filter(name='strftime', args=[PosArg('%F')]),
... ]))
# Example of how to raise a ``CannotSolve`` exception.
>>> from dataql.solvers.exceptions import CannotSolve
>>> raise CannotSolve(solver, Field('fromtimestamp'), date) # doctest: +ELLIPSIS
Traceback (most recent call last):
dataql...CannotSolve: Solver `<MySolver>` was not able to solve...`<Field[fromtimestamp]>`. | [
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| python | train | 38.765432 |
gijzelaerr/python-snap7 | snap7/server.py | https://github.com/gijzelaerr/python-snap7/blob/a6db134c7a3a2ef187b9eca04669221d6fc634c3/snap7/server.py#L72-L81 | def register_area(self, area_code, index, userdata):
"""Shares a memory area with the server. That memory block will be
visible by the clients.
"""
size = ctypes.sizeof(userdata)
logger.info("registering area %s, index %s, size %s" % (area_code,
index, size))
size = ctypes.sizeof(userdata)
return self.library.Srv_RegisterArea(self.pointer, area_code, index,
ctypes.byref(userdata), size) | [
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| python | train | 54.5 |
RudolfCardinal/pythonlib | cardinal_pythonlib/email/sendmail.py | https://github.com/RudolfCardinal/pythonlib/blob/0b84cb35f38bd7d8723958dae51b480a829b7227/cardinal_pythonlib/email/sendmail.py#L66-L240 | def make_email(from_addr: str,
date: str = None,
sender: str = "",
reply_to: Union[str, List[str]] = "",
to: Union[str, List[str]] = "",
cc: Union[str, List[str]] = "",
bcc: Union[str, List[str]] = "",
subject: str = "",
body: str = "",
content_type: str = CONTENT_TYPE_TEXT,
charset: str = "utf8",
attachment_filenames: Sequence[str] = None,
attachment_binaries: Sequence[bytes] = None,
attachment_binary_filenames: Sequence[str] = None,
verbose: bool = False) -> email.mime.multipart.MIMEMultipart:
"""
Makes an e-mail message.
Arguments that can be multiple e-mail addresses are (a) a single e-mail
address as a string, or (b) a list of strings (each a single e-mail
address), or (c) a comma-separated list of multiple e-mail addresses.
Args:
from_addr: name of the sender for the "From:" field
date: e-mail date in RFC 2822 format, or ``None`` for "now"
sender: name of the sender for the "Sender:" field
reply_to: name of the sender for the "Reply-To:" field
to: e-mail address(es) of the recipients for "To:" field
cc: e-mail address(es) of the recipients for "Cc:" field
bcc: e-mail address(es) of the recipients for "Bcc:" field
subject: e-mail subject
body: e-mail body
content_type: MIME type for body content, default ``text/plain``
charset: character set for body; default ``utf8``
attachment_filenames: filenames of attachments to add
attachment_binaries: binary objects to add as attachments
attachment_binary_filenames: filenames corresponding to
``attachment_binaries``
verbose: be verbose?
Returns:
a :class:`email.mime.multipart.MIMEMultipart`
Raises:
:exc:`AssertionError`, :exc:`ValueError`
"""
def _csv_list_to_list(x: str) -> List[str]:
stripped = [item.strip() for item in x.split(COMMA)]
return [item for item in stripped if item]
def _assert_nocomma(x: Union[str, List[str]]) -> None:
if isinstance(x, str):
x = [x]
for _addr in x:
assert COMMA not in _addr, (
"Commas not allowed in e-mail addresses: {!r}".format(_addr)
)
# -------------------------------------------------------------------------
# Arguments
# -------------------------------------------------------------------------
if not date:
date = email.utils.formatdate(localtime=True)
assert isinstance(from_addr, str), (
"'From:' can only be a single address "
"(for Python sendmail, not RFC 2822); was {!r}".format(from_addr)
)
_assert_nocomma(from_addr)
assert isinstance(sender, str), (
"'Sender:' can only be a single address; was {!r}".format(sender)
)
_assert_nocomma(sender)
if isinstance(reply_to, str):
reply_to = [reply_to] if reply_to else [] # type: List[str]
_assert_nocomma(reply_to)
if isinstance(to, str):
to = _csv_list_to_list(to)
if isinstance(cc, str):
cc = _csv_list_to_list(cc)
if isinstance(bcc, str):
bcc = _csv_list_to_list(bcc)
assert to or cc or bcc, "No recipients (must have some of: To, Cc, Bcc)"
_assert_nocomma(to)
_assert_nocomma(cc)
_assert_nocomma(bcc)
attachment_filenames = attachment_filenames or [] # type: List[str]
assert all(attachment_filenames), (
"Missing attachment filenames: {!r}".format(attachment_filenames)
)
attachment_binaries = attachment_binaries or [] # type: List[bytes]
attachment_binary_filenames = attachment_binary_filenames or [] # type: List[str] # noqa
assert len(attachment_binaries) == len(attachment_binary_filenames), (
"If you specify attachment_binaries or attachment_binary_filenames, "
"they must be iterables of the same length."
)
assert all(attachment_binary_filenames), (
"Missing filenames for attached binaries: {!r}".format(
attachment_binary_filenames)
)
# -------------------------------------------------------------------------
# Make message
# -------------------------------------------------------------------------
msg = email.mime.multipart.MIMEMultipart()
# Headers: mandatory
msg["From"] = from_addr
msg["Date"] = date
msg["Subject"] = subject
# Headers: optional
if sender:
msg["Sender"] = sender # Single only, not a list
if reply_to:
msg["Reply-To"] = COMMASPACE.join(reply_to)
if to:
msg["To"] = COMMASPACE.join(to)
if cc:
msg["Cc"] = COMMASPACE.join(cc)
if bcc:
msg["Bcc"] = COMMASPACE.join(bcc)
# Body
if content_type == CONTENT_TYPE_TEXT:
msgbody = email.mime.text.MIMEText(body, "plain", charset)
elif content_type == CONTENT_TYPE_HTML:
msgbody = email.mime.text.MIMEText(body, "html", charset)
else:
raise ValueError("unknown content_type")
msg.attach(msgbody)
# Attachments
# noinspection PyPep8,PyBroadException
try:
if attachment_filenames:
# -----------------------------------------------------------------
# Attach things by filename
# -----------------------------------------------------------------
if verbose:
log.debug("attachment_filenames: {}", attachment_filenames)
# noinspection PyTypeChecker
for f in attachment_filenames:
part = email.mime.base.MIMEBase("application", "octet-stream")
part.set_payload(open(f, "rb").read())
email.encoders.encode_base64(part)
part.add_header(
'Content-Disposition',
'attachment; filename="%s"' % os.path.basename(f)
)
msg.attach(part)
if attachment_binaries:
# -----------------------------------------------------------------
# Binary attachments, which have a notional filename
# -----------------------------------------------------------------
if verbose:
log.debug("attachment_binary_filenames: {}",
attachment_binary_filenames)
for i in range(len(attachment_binaries)):
blob = attachment_binaries[i]
filename = attachment_binary_filenames[i]
part = email.mime.base.MIMEBase("application", "octet-stream")
part.set_payload(blob)
email.encoders.encode_base64(part)
part.add_header(
'Content-Disposition',
'attachment; filename="%s"' % filename)
msg.attach(part)
except Exception as e:
raise ValueError("send_email: Failed to attach files: {}".format(e))
return msg | [
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Arguments that can be multiple e-mail addresses are (a) a single e-mail
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Args:
from_addr: name of the sender for the "From:" field
date: e-mail date in RFC 2822 format, or ``None`` for "now"
sender: name of the sender for the "Sender:" field
reply_to: name of the sender for the "Reply-To:" field
to: e-mail address(es) of the recipients for "To:" field
cc: e-mail address(es) of the recipients for "Cc:" field
bcc: e-mail address(es) of the recipients for "Bcc:" field
subject: e-mail subject
body: e-mail body
content_type: MIME type for body content, default ``text/plain``
charset: character set for body; default ``utf8``
attachment_filenames: filenames of attachments to add
attachment_binaries: binary objects to add as attachments
attachment_binary_filenames: filenames corresponding to
``attachment_binaries``
verbose: be verbose?
Returns:
a :class:`email.mime.multipart.MIMEMultipart`
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:exc:`AssertionError`, :exc:`ValueError` | [
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| python | train | 39.554286 |
diffeo/py-nilsimsa | nilsimsa/deprecated/_deprecated_nilsimsa.py | https://github.com/diffeo/py-nilsimsa/blob/c652f4bbfd836f7aebf292dcea676cc925ec315a/nilsimsa/deprecated/_deprecated_nilsimsa.py#L174-L182 | def from_file(self, filename):
"""Update running digest with content of named file."""
f = open(filename, 'rb')
while True:
data = f.read(10480)
if not data:
break
self.update(data)
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| python | train | 29.666667 |
apple/turicreate | src/unity/python/turicreate/data_structures/sgraph.py | https://github.com/apple/turicreate/blob/74514c3f99e25b46f22c6e02977fe3da69221c2e/src/unity/python/turicreate/data_structures/sgraph.py#L1153-L1221 | def load_sgraph(filename, format='binary', delimiter='auto'):
"""
Load SGraph from text file or previously saved SGraph binary.
Parameters
----------
filename : string
Location of the file. Can be a local path or a remote URL.
format : {'binary', 'snap', 'csv', 'tsv'}, optional
Format to of the file to load.
- 'binary': native graph format obtained from `SGraph.save`.
- 'snap': tab or space separated edge list format with comments, used in
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- 'csv': comma-separated edge list without header or comments.
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delimiter : str, optional
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overwrite the default delimiter.
Returns
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out : SGraph
Loaded SGraph.
See Also
--------
SGraph, SGraph.save
Examples
--------
>>> g = turicreate.SGraph().add_vertices([turicreate.Vertex(i) for i in range(5)])
Save and load in binary format.
>>> g.save('mygraph')
>>> g2 = turicreate.load_sgraph('mygraph')
"""
if not format in ['binary', 'snap', 'csv', 'tsv']:
raise ValueError('Invalid format: %s' % format)
with cython_context():
g = None
if format is 'binary':
proxy = glconnect.get_unity().load_graph(_make_internal_url(filename))
g = SGraph(_proxy=proxy)
elif format is 'snap':
if delimiter == 'auto':
delimiter = '\t'
sf = SFrame.read_csv(filename, comment_char='#', delimiter=delimiter,
header=False, column_type_hints=int)
g = SGraph().add_edges(sf, 'X1', 'X2')
elif format is 'csv':
if delimiter == 'auto':
delimiter = ','
sf = SFrame.read_csv(filename, header=False, delimiter=delimiter)
g = SGraph().add_edges(sf, 'X1', 'X2')
elif format is 'tsv':
if delimiter == 'auto':
delimiter = '\t'
sf = SFrame.read_csv(filename, header=False, delimiter=delimiter)
g = SGraph().add_edges(sf, 'X1', 'X2')
g.summary() # materialize
return g | [
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Format to of the file to load.
- 'binary': native graph format obtained from `SGraph.save`.
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Returns
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Loaded SGraph.
See Also
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SGraph, SGraph.save
Examples
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>>> g = turicreate.SGraph().add_vertices([turicreate.Vertex(i) for i in range(5)])
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>>> g.save('mygraph')
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| python | train | 34 |
pandas-dev/pandas | pandas/io/json/json.py | https://github.com/pandas-dev/pandas/blob/9feb3ad92cc0397a04b665803a49299ee7aa1037/pandas/io/json/json.py#L558-L580 | def _get_object_parser(self, json):
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Parses a json document into a pandas object.
"""
typ = self.typ
dtype = self.dtype
kwargs = {
"orient": self.orient, "dtype": self.dtype,
"convert_axes": self.convert_axes,
"convert_dates": self.convert_dates,
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obj = SeriesParser(json, **kwargs).parse()
return obj | [
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| python | train | 33.956522 |
cytoscape/py2cytoscape | py2cytoscape/cyrest/networks.py | https://github.com/cytoscape/py2cytoscape/blob/dd34de8d028f512314d0057168df7fef7c5d5195/py2cytoscape/cyrest/networks.py#L518-L531 | def updateColumnName(self, networkId, tableType, body, verbose=None):
"""
Renames an existing column in the table specified by the `tableType` and `networkId` parameters.
:param networkId: SUID of the network containing the table
:param tableType: Table Type
:param body: Old and new column name
:param verbose: print more
:returns: default: successful operation
"""
response=api(url=self.___url+'networks/'+str(networkId)+'/tables/'+str(tableType)+'/columns', method="PUT", body=body, verbose=verbose)
return response | [
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| python | train | 42 |
lpantano/seqcluster | seqcluster/seqbuster/__init__.py | https://github.com/lpantano/seqcluster/blob/774e23add8cd4fdc83d626cea3bd1f458e7d060d/seqcluster/seqbuster/__init__.py#L376-L389 | def _mirtop(out_files, hairpin, gff3, species, out):
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Convert miraligner to mirtop format
"""
args = argparse.Namespace()
args.hairpin = hairpin
args.sps = species
args.gtf = gff3
args.add_extra = True
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args.out_format = "gff"
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| python | train | 24.571429 |
bethgelab/foolbox | foolbox/attacks/precomputed.py | https://github.com/bethgelab/foolbox/blob/8ab54248c70e45d8580a7d9ee44c9c0fb5755c4a/foolbox/attacks/precomputed.py#L30-L42 | def _get_output(self, a, image):
""" Looks up the precomputed adversarial image for a given image.
"""
sd = np.square(self._input_images - image)
mses = np.mean(sd, axis=tuple(range(1, sd.ndim)))
index = np.argmin(mses)
# if we run into numerical problems with this approach, we might
# need to add a very tiny threshold here
if mses[index] > 0:
raise ValueError('No precomputed output image for this image')
return self._output_images[index] | [
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| python | valid | 39.692308 |
luckydonald/pytgbot | code_generation/output/pytgbot/api_types/receivable/media.py | https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/pytgbot/api_types/receivable/media.py#L1899-L1914 | def to_array(self):
"""
Serializes this File to a dictionary.
:return: dictionary representation of this object.
:rtype: dict
"""
array = super(File, self).to_array()
array['file_id'] = u(self.file_id) # py2: type unicode, py3: type str
if self.file_size is not None:
array['file_size'] = int(self.file_size) # type int
if self.file_path is not None:
array['file_path'] = u(self.file_path) # py2: type unicode, py3: type str
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| python | train | 33.25 |
shreyaspotnis/rampage | rampage/widgets/KeyFrameWidgets.py | https://github.com/shreyaspotnis/rampage/blob/e2565aef7ee16ee06523de975e8aa41aca14e3b2/rampage/widgets/KeyFrameWidgets.py#L472-L475 | def updateAllKeys(self):
"""Update times for all keys in the layout."""
for kf, key in zip(self.kf_list, self.sorted_key_list()):
kf.update(key, self.dct[key]) | [
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| python | train | 46 |
pypa/setuptools | setuptools/config.py | https://github.com/pypa/setuptools/blob/83c667e0b2a98193851c07115d1af65011ed0fb6/setuptools/config.py#L427-L439 | def _deprecated_config_handler(self, func, msg, warning_class):
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| python | train | 37.153846 |
QUANTAXIS/QUANTAXIS | QUANTAXIS/QAFetch/QAQuery.py | https://github.com/QUANTAXIS/QUANTAXIS/blob/bb1fe424e4108b62a1f712b81a05cf829297a5c0/QUANTAXIS/QAFetch/QAQuery.py#L174-L211 | def QA_fetch_stock_basic_info_tushare(collections=DATABASE.stock_info_tushare):
'''
purpose:
tushare 股票列表数据库
code,代码
name,名称
industry,所属行业
area,地区
pe,市盈率
outstanding,流通股本(亿)
totals,总股本(亿)
totalAssets,总资产(万)
liquidAssets,流动资产
fixedAssets,固定资产
reserved,公积金
reservedPerShare,每股公积金
esp,每股收益
bvps,每股净资
pb,市净率
timeToMarket,上市日期
undp,未分利润
perundp, 每股未分配
rev,收入同比(%)
profit,利润同比(%)
gpr,毛利率(%)
npr,净利润率(%)
holders,股东人数
add by tauruswang,
:param collections: stock_info_tushare 集合
:return:
'''
'获取股票基本信息'
items = [item for item in collections.find()]
# 🛠todo 转变成 dataframe 类型数据
return items | [
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| python | train | 20.605263 |
tech-pi/doufo | src/python/doufo/function.py | https://github.com/tech-pi/doufo/blob/3d375fef30670597768a6eef809b75b4b1b5a3fd/src/python/doufo/function.py#L388-L395 | def tagfunc(nargs=None, ndefs=None, nouts=None):
"""
decorate of tagged function
"""
def wrapper(f):
return wraps(f)(FunctionWithTag(f, nargs=nargs, nouts=nouts, ndefs=ndefs))
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| python | train | 27 |
googleapis/google-cloud-python | core/google/cloud/_helpers.py | https://github.com/googleapis/google-cloud-python/blob/85e80125a59cb10f8cb105f25ecc099e4b940b50/core/google/cloud/_helpers.py#L149-L170 | def _ensure_tuple_or_list(arg_name, tuple_or_list):
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This effectively reduces the iterable types allowed to a very short
whitelist: list and tuple.
:type arg_name: str
:param arg_name: Name of argument to use in error message.
:type tuple_or_list: sequence of str
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:rtype: list of str
:returns: The ``tuple_or_list`` passed in cast to a ``list``.
:raises TypeError: if the ``tuple_or_list`` is not a tuple or list.
"""
if not isinstance(tuple_or_list, (tuple, list)):
raise TypeError(
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| python | train | 34.227273 |
GreenBuildingRegistry/yaml-config | yamlconf/config.py | https://github.com/GreenBuildingRegistry/yaml-config/blob/3d4bf4cadd07d4c3b71674077bd7cf16efb6ea10/yamlconf/config.py#L142-L147 | def keys(self, section=None):
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if not section and self.section:
section = self.section
config = self.config.get(section, {}) if section else self.config
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| python | train | 41.166667 |
angr/angr | angr/simos/javavm.py | https://github.com/angr/angr/blob/4e2f97d56af5419ee73bdb30482c8dd8ff5f3e40/angr/simos/javavm.py#L161-L180 | def state_entry(self, args=None, **kwargs): # pylint: disable=arguments-differ
"""
Create an entry state.
:param args: List of SootArgument values (optional).
"""
state = self.state_blank(**kwargs)
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cmd_line_args.add_default_value_generator(self.generate_symbolic_cmd_line_arg)
args = [SootArgument(cmd_line_args, "java.lang.String[]")]
# for referencing the Java array, we need to know the array reference
# => saves it in the globals dict
state.globals['cmd_line_args'] = cmd_line_args
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SimEngineSoot.setup_arguments(state, args)
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| python | train | 51.25 |
euske/pdfminer | pdfminer/utils.py | https://github.com/euske/pdfminer/blob/8150458718e9024c80b00e74965510b20206e588/pdfminer/utils.py#L169-L183 | def nunpack(s, default=0):
"""Unpacks 1 to 4 byte integers (big endian)."""
l = len(s)
if not l:
return default
elif l == 1:
return ord(s)
elif l == 2:
return struct.unpack('>H', s)[0]
elif l == 3:
return struct.unpack('>L', b'\x00'+s)[0]
elif l == 4:
return struct.unpack('>L', s)[0]
else:
raise TypeError('invalid length: %d' % l) | [
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| python | train | 26.533333 |
python-visualization/folium | folium/folium.py | https://github.com/python-visualization/folium/blob/8595240517135d1637ca4cf7cc624045f1d911b3/folium/folium.py#L408-L420 | def choropleth(self, *args, **kwargs):
"""Call the Choropleth class with the same arguments.
This method may be deleted after a year from now (Nov 2018).
"""
warnings.warn(
'The choropleth method has been deprecated. Instead use the new '
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FutureWarning
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| python | train | 42.846154 |
ahtn/python-easyhid | easyhid/easyhid.py | https://github.com/ahtn/python-easyhid/blob/b89a60e5b378495b34c51ef11c5260bb43885780/easyhid/easyhid.py#L329-L350 | def description(self):
"""
Get a string describing the HID descriptor.
"""
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"""HIDDevice:
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release_number: {}
usage_page: {}
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interface_number: {}\
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| python | train | 23.954545 |
asweigart/PyMsgBox | pymsgbox/__init__.py | https://github.com/asweigart/PyMsgBox/blob/c94325d21c08690dd89ebf9ebf1cf1b6ed54a1da/pymsgbox/__init__.py#L197-L226 | def __put_buttons_in_buttonframe(choices):
"""Put the buttons in the buttons frame"""
global __widgetTexts, __firstWidget, buttonsFrame
__firstWidget = None
__widgetTexts = {}
i = 0
for buttonText in choices:
tempButton = tk.Button(buttonsFrame, takefocus=1, text=buttonText)
_bindArrows(tempButton)
tempButton.pack(expand=tk.YES, side=tk.LEFT, padx='1m', pady='1m', ipadx='2m', ipady='1m')
# remember the text associated with this widget
__widgetTexts[tempButton] = buttonText
# remember the first widget, so we can put the focus there
if i == 0:
__firstWidget = tempButton
i = 1
# for the commandButton, bind activation events to the activation event handler
commandButton = tempButton
handler = __buttonEvent
for selectionEvent in STANDARD_SELECTION_EVENTS:
commandButton.bind('<%s>' % selectionEvent, handler)
if CANCEL_TEXT in choices:
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| python | train | 34.633333 |
PGower/PyCanvas | pycanvas/apis/files.py | https://github.com/PGower/PyCanvas/blob/68520005382b440a1e462f9df369f54d364e21e8/pycanvas/apis/files.py#L498-L516 | def delete_file(self, id):
"""
Delete file.
Remove the specified file
curl -XDELETE 'https://<canvas>/api/v1/files/<file_id>' \
-H 'Authorization: Bearer <token>'
"""
path = {}
data = {}
params = {}
# REQUIRED - PATH - id
"""ID"""
path["id"] = id
self.logger.debug("DELETE /api/v1/files/{id} with query params: {params} and form data: {data}".format(params=params, data=data, **path))
return self.generic_request("DELETE", "/api/v1/files/{id}".format(**path), data=data, params=params, no_data=True) | [
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| python | train | 33.263158 |
watson-developer-cloud/python-sdk | ibm_watson/assistant_v1.py | https://github.com/watson-developer-cloud/python-sdk/blob/4c2c9df4466fcde88975da9ecd834e6ba95eb353/ibm_watson/assistant_v1.py#L5040-L5047 | def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'entities') and self.entities is not None:
_dict['entities'] = [x._to_dict() for x in self.entities]
if hasattr(self, 'pagination') and self.pagination is not None:
_dict['pagination'] = self.pagination._to_dict()
return _dict | [
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| python | train | 48.375 |
marvin-ai/marvin-python-toolbox | marvin_python_toolbox/common/http_client.py | https://github.com/marvin-ai/marvin-python-toolbox/blob/7c95cb2f9698b989150ab94c1285f3a9eaaba423/marvin_python_toolbox/common/http_client.py#L111-L115 | def post(self, path, data=None):
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data = data or {}
response = requests.post(self.url(path), data=to_json(data), headers=self.request_header())
return self.parse_response(response) | [
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| python | train | 48 |
rigetti/grove | grove/qft/fourier.py | https://github.com/rigetti/grove/blob/dc6bf6ec63e8c435fe52b1e00f707d5ce4cdb9b3/grove/qft/fourier.py#L37-L57 | def _core_qft(qubits: List[int], coeff: int) -> Program:
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Generates the core program to perform the quantum Fourier transform
:param qubits: A list of qubit indexes.
:param coeff: A modifier for the angle used in rotations (-1 for inverse QFT, 1 for QFT)
:return: A Quil program to compute the core (inverse) QFT of the qubits.
"""
q = qubits[0]
qs = qubits[1:]
if 1 == len(qubits):
return [H(q)]
else:
n = 1 + len(qs)
cR = []
for idx, i in enumerate(range(n - 1, 0, -1)):
q_idx = qs[idx]
angle = math.pi / 2 ** (n - i)
cR.append(CPHASE(coeff * angle, q, q_idx))
return _core_qft(qs, coeff) + list(reversed(cR)) + [H(q)] | [
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| python | train | 34.714286 |
peri-source/peri | peri/states.py | https://github.com/peri-source/peri/blob/61beed5deaaf978ab31ed716e8470d86ba639867/peri/states.py#L273-L288 | def _grad_one_param(self, funct, p, dl=2e-5, rts=False, nout=1, **kwargs):
"""
Gradient of `func` wrt a single parameter `p`. (see _graddoc)
"""
vals = self.get_values(p)
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| python | valid | 28.8125 |
bram85/topydo | topydo/ui/columns/TodoListWidget.py | https://github.com/bram85/topydo/blob/b59fcfca5361869a6b78d4c9808c7c6cd0a18b58/topydo/ui/columns/TodoListWidget.py#L233-L254 | def _execute_on_selected(self, p_cmd_str, p_execute_signal):
"""
Executes command specified by p_cmd_str on selected todo item.
p_cmd_str should be a string with one replacement field ('{}') which
will be substituted by id of the selected todo item.
p_execute_signal is the signal name passed to the main loop. It should
be one of 'execute_command' or 'execute_command_silent'.
"""
try:
todo = self.listbox.focus.todo
todo_id = str(self.view.todolist.number(todo))
urwid.emit_signal(self, p_execute_signal, p_cmd_str, todo_id)
# force screen redraw after editing
if p_cmd_str.startswith('edit'):
urwid.emit_signal(self, 'refresh')
except AttributeError:
# No todo item selected
pass | [
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| python | train | 38.045455 |
pandas-dev/pandas | pandas/io/excel/_util.py | https://github.com/pandas-dev/pandas/blob/9feb3ad92cc0397a04b665803a49299ee7aa1037/pandas/io/excel/_util.py#L89-L119 | def _range2cols(areas):
"""
Convert comma separated list of column names and ranges to indices.
Parameters
----------
areas : str
A string containing a sequence of column ranges (or areas).
Returns
-------
cols : list
A list of 0-based column indices.
Examples
--------
>>> _range2cols('A:E')
[0, 1, 2, 3, 4]
>>> _range2cols('A,C,Z:AB')
[0, 2, 25, 26, 27]
"""
cols = []
for rng in areas.split(","):
if ":" in rng:
rng = rng.split(":")
cols.extend(lrange(_excel2num(rng[0]), _excel2num(rng[1]) + 1))
else:
cols.append(_excel2num(rng))
return cols | [
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>>> _range2cols('A:E')
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| python | train | 21.290323 |
steffann/pylisp | pylisp/packet/lisp/control/map_register.py | https://github.com/steffann/pylisp/blob/907340f0c7ef2c4d4fe0c8e0a48df5be0d969407/pylisp/packet/lisp/control/map_register.py#L274-L322 | def to_bytes(self):
'''
Create bytes from properties
'''
# Verify that properties make sense
self.sanitize()
# Start with the type
bitstream = BitArray('uint:4=%d' % self.message_type)
# Add the flags
bitstream += BitArray('bool=%d' % self.proxy_map_reply)
# Add reserved bits
bitstream += self._reserved1
# Decide on the has_xtr_site_id value
has_xtr_site_id = bool(self.xtr_id or self.site_id or self.for_rtr)
bitstream += BitArray('bool=%d, bool=%d' % (has_xtr_site_id,
self.for_rtr))
# Add reserved bits
bitstream += self._reserved2
# Add the rest of the flags
bitstream += BitArray('bool=%d' % self.want_map_notify)
# Add record count
bitstream += BitArray('uint:8=%d' % len(self.records))
# Add the nonce
bitstream += BitArray(bytes=self.nonce)
# Add the key-id and authentication data
bitstream += BitArray('uint:16=%d, uint:16=%d, hex=%s'
% (self.key_id,
len(self.authentication_data),
self.authentication_data.encode('hex')))
# Add the map-reply records
for record in self.records:
bitstream += record.to_bitstream()
# Add xTR-ID and site-ID if we said we would
if has_xtr_site_id:
bitstream += BitArray('uint:128=%d, uint:64=%d' % (self.xtr_id,
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return bitstream.bytes | [
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| python | train | 33.122449 |
Autodesk/cryptorito | cryptorito/__init__.py | https://github.com/Autodesk/cryptorito/blob/277fc7cc42c31c5bc37e26d8bf5a2ac746a6ea85/cryptorito/__init__.py#L345-L359 | def import_gpg_key(key):
"""Imports a GPG key"""
if not key:
raise CryptoritoError('Invalid GPG Key')
key_fd, key_filename = mkstemp("cryptorito-gpg-import")
key_handle = os.fdopen(key_fd, 'w')
key_handle.write(polite_string(key))
key_handle.close()
cmd = flatten([gnupg_bin(), gnupg_home(), "--import", key_filename])
output = stderr_output(cmd)
msg = 'gpg: Total number processed: 1'
output_bits = polite_string(output).split('\n')
return len([line for line in output_bits if line == msg]) == 1 | [
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| python | train | 35.733333 |
moralrecordings/mrcrowbar | mrcrowbar/utils.py | https://github.com/moralrecordings/mrcrowbar/blob/b1ed882c4555552e7656b2d84aca543184577fa3/mrcrowbar/utils.py#L450-L476 | def pixdump( source, start=None, end=None, length=None, width=64, height=None, palette=None ):
"""Print the contents of a byte string as a 256 colour image.
source
The byte string to print.
start
Start offset to read from (default: start)
end
End offset to stop reading at (default: end)
length
Length to read in (optional replacement for end)
width
Width of image to render in pixels (default: 64)
height
Height of image to render in pixels (default: auto)
palette
List of Colours to use (default: test palette)
"""
for line in pixdump_iter( source, start, end, length, width, height, palette ):
print( line ) | [
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Height of image to render in pixels (default: auto)
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| python | train | 25.777778 |
projectshift/shift-schema | shiftschema/validators/email.py | https://github.com/projectshift/shift-schema/blob/07787b540d3369bb37217ffbfbe629118edaf0eb/shiftschema/validators/email.py#L26-L43 | def validate(self, value, model=None, context=None):
"""
Validate
Perform value validation and return result
:param value: value to check
:param model: parent model being validated
:param context: object or None, validation context
:return: shiftschema.results.SimpleResult
"""
regex = self.regex()
match = regex.match(value)
if not match:
return Error(self.not_email)
# success otherwise
return Error() | [
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| python | train | 30.444444 |
linode/linode_api4-python | linode_api4/linode_client.py | https://github.com/linode/linode_api4-python/blob/1dd7318d2aed014c746d48c7957464c57af883ca/linode_api4/linode_client.py#L560-L569 | def transfer(self):
"""
Returns a MappedObject containing the account's transfer pool data
"""
result = self.client.get('/account/transfer')
if not 'used' in result:
raise UnexpectedResponseError('Unexpected response when getting Transfer Pool!')
return MappedObject(**result) | [
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| python | train | 32.9 |
bukun/TorCMS | torcms/handlers/wiki_handler.py | https://github.com/bukun/TorCMS/blob/6567c7fe2604a1d646d4570c017840958630ed2b/torcms/handlers/wiki_handler.py#L105-L130 | def update(self, uid):
'''
Update the wiki.
'''
postinfo = MWiki.get_by_uid(uid)
if self.check_post_role()['EDIT'] or postinfo.user_name == self.get_current_user():
pass
else:
return False
post_data = self.get_post_data()
post_data['user_name'] = self.userinfo.user_name
cnt_old = tornado.escape.xhtml_unescape(postinfo.cnt_md).strip()
cnt_new = post_data['cnt_md'].strip()
if cnt_old == cnt_new:
pass
else:
MWikiHist.create_wiki_history(postinfo)
MWiki.update(uid, post_data)
# cele_gen_whoosh.delay()
tornado.ioloop.IOLoop.instance().add_callback(self.cele_gen_whoosh)
self.redirect('/wiki/{0}'.format(tornado.escape.url_escape(post_data['title']))) | [
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| python | train | 31.038462 |
onelogin/python3-saml | src/onelogin/saml2/response.py | https://github.com/onelogin/python3-saml/blob/064b7275fba1e5f39a9116ba1cdcc5d01fc34daa/src/onelogin/saml2/response.py#L521-L535 | def get_session_index(self):
"""
Gets the SessionIndex from the AuthnStatement
Could be used to be stored in the local session in order
to be used in a future Logout Request that the SP could
send to the SP, to set what specific session must be deleted
:returns: The SessionIndex value
:rtype: string|None
"""
session_index = None
authn_statement_nodes = self.__query_assertion('/saml:AuthnStatement[@SessionIndex]')
if authn_statement_nodes:
session_index = authn_statement_nodes[0].get('SessionIndex')
return session_index | [
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| python | train | 41.266667 |
hozn/coilmq | coilmq/protocol/__init__.py | https://github.com/hozn/coilmq/blob/76b7fcf347144b3a5746423a228bed121dc564b5/coilmq/protocol/__init__.py#L218-L230 | def abort(self, frame):
"""
Handles ABORT command: Rolls back specified transaction.
"""
if not frame.transaction:
raise ProtocolError("Missing transaction for ABORT command.")
if not frame.transaction in self.engine.transactions:
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self.engine.queue_manager.resend_transaction_frames(
self.engine.connection, frame.transaction)
del self.engine.transactions[frame.transaction] | [
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| python | train | 40.230769 |
iotile/coretools | iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Tool/packaging/__init__.py | https://github.com/iotile/coretools/blob/2d794f5f1346b841b0dcd16c9d284e9bf2f3c6ec/iotilebuild/iotile/build/config/scons-local-3.0.1/SCons/Tool/packaging/__init__.py#L277-L305 | def stripinstallbuilder(target, source, env):
""" Strips the install builder action from the source list and stores
the final installation location as the "PACKAGING_INSTALL_LOCATION" of
the source of the source file. This effectively removes the final installed
files from the source list while remembering the installation location.
It also warns about files which have no install builder attached.
"""
def has_no_install_location(file):
return not (file.has_builder() and\
hasattr(file.builder, 'name') and\
(file.builder.name=="InstallBuilder" or\
file.builder.name=="InstallAsBuilder"))
if len([src for src in source if has_no_install_location(src)]):
warn(Warning, "there are files to package which have no\
InstallBuilder attached, this might lead to irreproducible packages")
n_source=[]
for s in source:
if has_no_install_location(s):
n_source.append(s)
else:
for ss in s.sources:
n_source.append(ss)
copy_attr(s, ss)
ss.Tag('PACKAGING_INSTALL_LOCATION', s.get_path())
return (target, n_source) | [
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| python | train | 40.413793 |
JdeRobot/base | src/drivers/MAVLinkServer/MAVProxy/pymavlink/dialects/v10/matrixpilot.py | https://github.com/JdeRobot/base/blob/303b18992785b2fe802212f2d758a60873007f1f/src/drivers/MAVLinkServer/MAVProxy/pymavlink/dialects/v10/matrixpilot.py#L9279-L9298 | def rc_channels_scaled_encode(self, time_boot_ms, port, chan1_scaled, chan2_scaled, chan3_scaled, chan4_scaled, chan5_scaled, chan6_scaled, chan7_scaled, chan8_scaled, rssi):
'''
The scaled values of the RC channels received. (-100%) -10000, (0%) 0,
(100%) 10000. Channels that are inactive should be set
to UINT16_MAX.
time_boot_ms : Timestamp (milliseconds since system boot) (uint32_t)
port : Servo output port (set of 8 outputs = 1 port). Most MAVs will just use one, but this allows for more than 8 servos. (uint8_t)
chan1_scaled : RC channel 1 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
chan2_scaled : RC channel 2 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
chan3_scaled : RC channel 3 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
chan4_scaled : RC channel 4 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
chan5_scaled : RC channel 5 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
chan6_scaled : RC channel 6 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
chan7_scaled : RC channel 7 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
chan8_scaled : RC channel 8 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
rssi : Receive signal strength indicator, 0: 0%, 100: 100%, 255: invalid/unknown. (uint8_t)
'''
return MAVLink_rc_channels_scaled_message(time_boot_ms, port, chan1_scaled, chan2_scaled, chan3_scaled, chan4_scaled, chan5_scaled, chan6_scaled, chan7_scaled, chan8_scaled, rssi) | [
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chan5_scaled : RC channel 5 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
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chan8_scaled : RC channel 8 value scaled, (-100%) -10000, (0%) 0, (100%) 10000, (invalid) INT16_MAX. (int16_t)
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| python | train | 104.95 |
Alignak-monitoring/alignak | alignak/objects/config.py | https://github.com/Alignak-monitoring/alignak/blob/f3c145207e83159b799d3714e4241399c7740a64/alignak/objects/config.py#L2566-L2576 | def remove_templates(self):
"""Clean useless elements like templates because they are not needed anymore
:return: None
"""
self.hosts.remove_templates()
self.contacts.remove_templates()
self.services.remove_templates()
self.servicedependencies.remove_templates()
self.hostdependencies.remove_templates()
self.timeperiods.remove_templates() | [
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| python | train | 36.545455 |
eandersson/amqpstorm | amqpstorm/exchange.py | https://github.com/eandersson/amqpstorm/blob/38330906c0af19eea482f43c5ce79bab98a1e064/amqpstorm/exchange.py#L77-L106 | def bind(self, destination='', source='', routing_key='',
arguments=None):
"""Bind an Exchange.
:param str destination: Exchange name
:param str source: Exchange to bind to
:param str routing_key: The routing key to use
:param dict arguments: Bind key/value arguments
:raises AMQPInvalidArgument: Invalid Parameters
:raises AMQPChannelError: Raises if the channel encountered an error.
:raises AMQPConnectionError: Raises if the connection
encountered an error.
:rtype: dict
"""
if not compatibility.is_string(destination):
raise AMQPInvalidArgument('destination should be a string')
elif not compatibility.is_string(source):
raise AMQPInvalidArgument('source should be a string')
elif not compatibility.is_string(routing_key):
raise AMQPInvalidArgument('routing_key should be a string')
elif arguments is not None and not isinstance(arguments, dict):
raise AMQPInvalidArgument('arguments should be a dict or None')
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source=source,
routing_key=routing_key,
arguments=arguments)
return self._channel.rpc_request(bind_frame) | [
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| python | train | 46.766667 |
bcbio/bcbio-nextgen | bcbio/variation/germline.py | https://github.com/bcbio/bcbio-nextgen/blob/6a9348c0054ccd5baffd22f1bb7d0422f6978b20/bcbio/variation/germline.py#L19-L50 | def split_somatic(items):
"""Split somatic batches, adding a germline target.
Enables separate germline calling of samples using shared alignments.
"""
items = [_clean_flat_variantcaller(x) for x in items]
somatic_groups, somatic, non_somatic = vcfutils.somatic_batches(items)
# extract germline samples to run from normals in tumor/normal pairs
germline_added = set([])
germline = []
for somatic_group in somatic_groups:
paired = vcfutils.get_paired(somatic_group)
if paired and paired.normal_data:
cur = utils.deepish_copy(paired.normal_data)
vc = dd.get_variantcaller(cur)
if isinstance(vc, dict) and "germline" in vc:
if cur["description"] not in germline_added:
germline_added.add(cur["description"])
cur["rgnames"]["sample"] = cur["description"]
cur["metadata"]["batch"] = "%s-germline" % cur["description"]
cur["metadata"]["phenotype"] = "germline"
cur = remove_align_qc_tools(cur)
cur["config"]["algorithm"]["variantcaller"] = vc["germline"]
germline.append(cur)
# Fix variantcalling specification for only somatic targets
somatic_out = []
for data in somatic:
vc = dd.get_variantcaller(data)
if isinstance(vc, dict) and "somatic" in vc:
data["config"]["algorithm"]["variantcaller"] = vc["somatic"]
somatic_out.append(data)
return non_somatic + somatic_out + germline | [
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| python | train | 48.15625 |
MatterMiners/cobald | cobald/daemon/runners/service.py | https://github.com/MatterMiners/cobald/blob/264138de4382d1c9b53fabcbc6660e10b33a914d/cobald/daemon/runners/service.py#L97-L105 | def execute(self, payload, *args, flavour: ModuleType, **kwargs):
"""
Synchronously run ``payload`` and provide its output
If ``*args*`` and/or ``**kwargs`` are provided, pass them to ``payload`` upon execution.
"""
if args or kwargs:
payload = functools.partial(payload, *args, **kwargs)
return self._meta_runner.run_payload(payload, flavour=flavour) | [
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| python | train | 44.888889 |
cltl/KafNafParserPy | KafNafParserPy/opinion_data.py | https://github.com/cltl/KafNafParserPy/blob/9bc32e803c176404b255ba317479b8780ed5f569/KafNafParserPy/opinion_data.py#L47-L54 | def set_comment(self,c):
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Sets the comment for the element
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| python | train | 29.875 |
Yelp/kafka-utils | kafka_utils/util/__init__.py | https://github.com/Yelp/kafka-utils/blob/cdb4d64308f3079ee0873250bf7b34d0d94eca50/kafka_utils/util/__init__.py#L105-L107 | def dict_merge(set1, set2):
"""Joins two dictionaries."""
return dict(list(set1.items()) + list(set2.items())) | [
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| python | train | 38.666667 |
qweeze/wex-api-client | wex/client.py | https://github.com/qweeze/wex-api-client/blob/e84d139be229aab2c7c5eda5976b812be651807b/wex/client.py#L182-L201 | def trans_history(
self, from_=None, count=None, from_id=None, end_id=None,
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):
"""
Returns the history of transactions.
To use this method you need a privilege of the info key.
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return self._trade_api_call(
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| python | train | 50 |
flo-compbio/genometools | genometools/gcloud/compute/instance.py | https://github.com/flo-compbio/genometools/blob/dd962bb26d60a0f14ca14d8c9a4dd75768962c7d/genometools/gcloud/compute/instance.py#L164-L209 | def wait_for_instance_deletion(credentials, project, zone, instance_name,
interval_seconds=5):
"""Wait until an instance is deleted.
We require that initially, the specified instance exists.
TODO: docstring
"""
t0 = time.time()
access_token = credentials.get_access_token()
headers = {
'Authorization': 'Bearer %s' % access_token.access_token
}
r = requests.get('https://www.googleapis.com/compute/v1/'
'projects/%s/zones/%s/instances/%s'
% (project, zone, instance_name),
headers=headers)
if r.status_code == 404:
raise AssertionError('Instance "%s" does not exist!' % instance_name)
r.raise_for_status()
_LOGGER.debug('Instance "%s" exists.', instance_name)
while True:
time.sleep(interval_seconds)
access_token = credentials.get_access_token()
headers = {
'Authorization': 'Bearer %s' % access_token.access_token
}
r = requests.get('https://www.googleapis.com/compute/v1/'
'projects/%s/zones/%s/instances/%s'
% (project, zone, instance_name),
headers=headers)
if r.status_code == 404:
break
r.raise_for_status()
_LOGGER.debug('Instance "%s" still exists.', instance_name)
t1 = time.time()
t = t1-t0
t_min = t/60.0
_LOGGER.info('Instance was deleted after %.1f s (%.1f m).', t, t_min) | [
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| python | train | 33.021739 |
marcomusy/vtkplotter | vtkplotter/actors.py | https://github.com/marcomusy/vtkplotter/blob/692c3396782722ec525bc1346a26999868c650c6/vtkplotter/actors.py#L923-L933 | def lineWidth(self, lw=None):
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if lw is not None:
if lw == 0:
self.GetProperty().EdgeVisibilityOff()
return
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| python | train | 35.636364 |
Spinmob/spinmob | egg/_gui.py | https://github.com/Spinmob/spinmob/blob/f037f5df07f194bcd4a01f4d9916e57b9e8fb45a/egg/_gui.py#L2855-L2864 | def autozoom(self, n=None):
"""
Auto-scales the axes to fit all the data in plot index n. If n == None,
auto-scale everyone.
"""
if n==None:
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return self | [
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| python | train | 30 |
quantopian/zipline | zipline/data/loader.py | https://github.com/quantopian/zipline/blob/77ad15e6dc4c1cbcdc133653bac8a63fc704f7fe/zipline/data/loader.py#L232-L292 | def ensure_treasury_data(symbol, first_date, last_date, now, environ=None):
"""
Ensure we have treasury data from treasury module associated with
`symbol`.
Parameters
----------
symbol : str
Benchmark symbol for which we're loading associated treasury curves.
first_date : pd.Timestamp
First date required to be in the cache.
last_date : pd.Timestamp
Last date required to be in the cache.
now : pd.Timestamp
The current time. This is used to prevent repeated attempts to
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failures.
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last entry is on or after `last_date`.
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at least one hour before attempting a redownload. This is determined by
comparing the current time to the result of os.path.getmtime on the cache
path.
"""
loader_module, filename, source = INDEX_MAPPING.get(
symbol, INDEX_MAPPING['SPY'],
)
first_date = max(first_date, loader_module.earliest_possible_date())
data = _load_cached_data(filename, first_date, last_date, now, 'treasury',
environ)
if data is not None:
return data
# If no cached data was found or it was missing any dates then download the
# necessary data.
logger.info(
('Downloading treasury data for {symbol!r} '
'from {first_date} to {last_date}'),
symbol=symbol,
first_date=first_date,
last_date=last_date
)
try:
data = loader_module.get_treasury_data(first_date, last_date)
data.to_csv(get_data_filepath(filename, environ))
except (OSError, IOError, HTTPError):
logger.exception('failed to cache treasury data')
if not has_data_for_dates(data, first_date, last_date):
logger.warn(
("Still don't have expected treasury data for {symbol!r} "
"from {first_date} to {last_date} after redownload!"),
symbol=symbol,
first_date=first_date,
last_date=last_date
)
return data | [
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| Ensure we have treasury data from treasury module associated with
`symbol`.
Parameters
----------
symbol : str
Benchmark symbol for which we're loading associated treasury curves.
first_date : pd.Timestamp
First date required to be in the cache.
last_date : pd.Timestamp
Last date required to be in the cache.
now : pd.Timestamp
The current time. This is used to prevent repeated attempts to
re-download data that isn't available due to scheduling quirks or other
failures.
We attempt to download data unless we already have data stored in the cache
for `module_name` whose first entry is before or on `first_date` and whose
last entry is on or after `last_date`.
If we perform a download and the cache criteria are not satisfied, we wait
at least one hour before attempting a redownload. This is determined by
comparing the current time to the result of os.path.getmtime on the cache
path. | [
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| python | train | 37.098361 |
pantsbuild/pants | src/python/pants/releases/reversion.py | https://github.com/pantsbuild/pants/blob/b72e650da0df685824ffdcc71988b8c282d0962d/src/python/pants/releases/reversion.py#L66-L93 | def rewrite_record_file(workspace, src_record_file, mutated_file_tuples):
"""Given a RECORD file and list of mutated file tuples, update the RECORD file in place.
The RECORD file should always be a member of the mutated files, due to both containing
versions, and having a version in its filename.
"""
mutated_files = set()
dst_record_file = None
for src, dst in mutated_file_tuples:
if src == src_record_file:
dst_record_file = dst
else:
mutated_files.add(dst)
if not dst_record_file:
raise Exception('Malformed whl or bad globs: `{}` was not rewritten.'.format(src_record_file))
output_records = []
file_name = os.path.join(workspace, dst_record_file)
for line in read_file(file_name).splitlines():
filename, fingerprint_str, size_str = line.rsplit(',', 3)
if filename in mutated_files:
fingerprint_str, size_str = fingerprint_file(workspace, filename)
output_line = ','.join((filename, fingerprint_str, size_str))
else:
output_line = line
output_records.append(output_line)
safe_file_dump(file_name, '\r\n'.join(output_records) + '\r\n') | [
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| Given a RECORD file and list of mutated file tuples, update the RECORD file in place.
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versions, and having a version in its filename. | [
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| python | train | 39.214286 |
bwesterb/py-seccure | src/__init__.py | https://github.com/bwesterb/py-seccure/blob/944760744686dd0ad015bd90ecb13a3ce0d7c9c9/src/__init__.py#L911-L915 | def decrypt(s, passphrase, curve='secp160r1', mac_bytes=10):
""" Decrypts `s' with passphrase `passphrase' """
curve = Curve.by_name(curve)
privkey = curve.passphrase_to_privkey(passphrase)
return privkey.decrypt(s, mac_bytes) | [
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| Decrypts `s' with passphrase `passphrase' | [
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| python | train | 47.6 |
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