id int32 0 252k | repo stringlengths 7 55 | path stringlengths 4 127 | func_name stringlengths 1 88 | original_string stringlengths 75 19.8k | language stringclasses 1
value | code stringlengths 51 19.8k | code_tokens list | docstring stringlengths 3 17.3k | docstring_tokens list | sha stringlengths 40 40 | url stringlengths 87 242 |
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3,100 | nirum/tableprint | tableprint/printer.py | header | def header(headers, width=WIDTH, align=ALIGN, style=STYLE, add_hr=True):
"""Returns a formatted row of column header strings
Parameters
----------
headers : list of strings
A list of n strings, the column headers
width : int
The width of each column (Default: 11)
style : strin... | python | def header(headers, width=WIDTH, align=ALIGN, style=STYLE, add_hr=True):
tablestyle = STYLES[style]
widths = parse_width(width, len(headers))
alignment = ALIGNMENTS[align]
# string formatter
data = map(lambda x: ('{:%s%d}' % (alignment, x[0] + ansi_len(x[1]))).format(x[1]), zip(widths, headers))
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3,101 | nirum/tableprint | tableprint/printer.py | row | def row(values, width=WIDTH, format_spec=FMT, align=ALIGN, style=STYLE):
"""Returns a formatted row of data
Parameters
----------
values : array_like
An iterable array of data (numbers or strings), each value is printed in a separate column
width : int
The width of each column (Def... | python | def row(values, width=WIDTH, format_spec=FMT, align=ALIGN, style=STYLE):
tablestyle = STYLES[style]
widths = parse_width(width, len(values))
assert isinstance(format_spec, string_types) | isinstance(format_spec, list), \
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3,102 | nirum/tableprint | tableprint/printer.py | top | def top(n, width=WIDTH, style=STYLE):
"""Prints the top row of a table"""
return hrule(n, width, linestyle=STYLES[style].top) | python | def top(n, width=WIDTH, style=STYLE):
return hrule(n, width, linestyle=STYLES[style].top) | [
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3,103 | nirum/tableprint | tableprint/printer.py | banner | def banner(message, width=30, style='banner', out=sys.stdout):
"""Prints a banner message
Parameters
----------
message : string
The message to print in the banner
width : int
The minimum width of the banner (Default: 30)
style : string
A line formatting style (Default... | python | def banner(message, width=30, style='banner', out=sys.stdout):
out.write(header([message], width=max(width, len(message)), style=style) + '\n')
out.flush() | [
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3,104 | nirum/tableprint | tableprint/printer.py | dataframe | def dataframe(df, **kwargs):
"""Print table with data from the given pandas DataFrame
Parameters
----------
df : DataFrame
A pandas DataFrame with the table to print
"""
table(df.values, list(df.columns), **kwargs) | python | def dataframe(df, **kwargs):
table(df.values, list(df.columns), **kwargs) | [
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3,105 | fralau/mkdocs_macros_plugin | macros/plugin.py | MacrosPlugin.on_config | def on_config(self, config):
"Fetch the variables and functions"
#print("Here is the config:", config)
# fetch variables from YAML file:
self._variables = config.get(YAML_SUBSET)
# add variables and functions from the module:
module_reader.load_variables(self._variables... | python | def on_config(self, config):
"Fetch the variables and functions"
#print("Here is the config:", config)
# fetch variables from YAML file:
self._variables = config.get(YAML_SUBSET)
# add variables and functions from the module:
module_reader.load_variables(self._variables... | [
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3,106 | fralau/mkdocs_macros_plugin | macros/plugin.py | MacrosPlugin.on_page_markdown | def on_page_markdown(self, markdown, page, config,
site_navigation=None, **kwargs):
"Provide a hook for defining functions from an external module"
# the site_navigation argument has been made optional
# (deleted in post 1.0 mkdocs, but maintained here
# for ba... | python | def on_page_markdown(self, markdown, page, config,
site_navigation=None, **kwargs):
"Provide a hook for defining functions from an external module"
# the site_navigation argument has been made optional
# (deleted in post 1.0 mkdocs, but maintained here
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3,107 | fralau/mkdocs_macros_plugin | macros/module_reader.py | load_variables | def load_variables(variables, config):
"""
Add the template functions, via the python module
located in the same directory as the Yaml config file.
The python module must contain the following hook:
declare_variables(variables, macro):
variables['a'] = 5
@macro
def bar(x... | python | def load_variables(variables, config):
def macro(v, name=''):
"""
Registers a variable as a macro in the template,
i.e. in the variables dictionary:
macro(myfunc)
Optionally, you can assign a different name:
macro(myfunc, 'funcname')
You can also ... | [
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3,108 | mayeut/pybase64 | pybase64/_fallback.py | b64decode | def b64decode(s, altchars=None, validate=False):
"""Decode bytes encoded with the standard Base64 alphabet.
Argument ``s`` is a :term:`bytes-like object` or ASCII string to
decode.
Optional ``altchars`` must be a :term:`bytes-like object` or ASCII
string of length 2 which specifies the alternative... | python | def b64decode(s, altchars=None, validate=False):
if version_info < (3, 0) or validate:
if validate and len(s) % 4 != 0:
raise BinAsciiError('Incorrect padding')
s = _get_bytes(s)
if altchars is not None:
altchars = _get_bytes(altchars)
assert len(altchars)... | [
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3,109 | mayeut/pybase64 | pybase64/_fallback.py | b64encode | def b64encode(s, altchars=None):
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Argument ``s`` is a :term:`bytes-like object` to encode.
Optional ``altchars`` must be a byte string of length 2 which specifies
an alternative alphabet for the '+' and '/' characters. This allows an
application ... | python | def b64encode(s, altchars=None):
if altchars is not None:
altchars = _get_bytes(altchars)
assert len(altchars) == 2, repr(altchars)
if version_info < (3, 0):
if isinstance(s, text_type):
raise TypeError('a bytes-like object is required, not \''
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3,110 | kalbhor/MusicTools | musictools/musictools.py | get_song_urls | def get_song_urls(song_input):
"""
Gather all urls, titles for a search query
from youtube
"""
YOUTUBECLASS = 'spf-prefetch'
html = requests.get("https://www.youtube.com/results",
params={'search_query': song_input})
soup = BeautifulSoup(html.text, 'html.parser')
... | python | def get_song_urls(song_input):
YOUTUBECLASS = 'spf-prefetch'
html = requests.get("https://www.youtube.com/results",
params={'search_query': song_input})
soup = BeautifulSoup(html.text, 'html.parser')
soup_section = soup.findAll('a', {'rel': YOUTUBECLASS})
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3,111 | kalbhor/MusicTools | musictools/musictools.py | download_song | def download_song(song_url, song_title):
"""
Download a song using youtube url and song title
"""
outtmpl = song_title + '.%(ext)s'
ydl_opts = {
'format': 'bestaudio/best',
'outtmpl': outtmpl,
'postprocessors': [
{'key': 'FFmpegExtractAudio','preferredcodec': 'mp... | python | def download_song(song_url, song_title):
outtmpl = song_title + '.%(ext)s'
ydl_opts = {
'format': 'bestaudio/best',
'outtmpl': outtmpl,
'postprocessors': [
{'key': 'FFmpegExtractAudio','preferredcodec': 'mp3',
'preferredquality': '192',
},
... | [
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3,112 | kalbhor/MusicTools | musictools/musictools.py | add_album_art | def add_album_art(file_name, album_art):
"""
Add album_art in .mp3's tags
"""
img = requests.get(album_art, stream=True) # Gets album art from url
img = img.raw
audio = EasyMP3(file_name, ID3=ID3)
try:
audio.add_tags()
except _util.error:
pass
audio.tags.add(
... | python | def add_album_art(file_name, album_art):
img = requests.get(album_art, stream=True) # Gets album art from url
img = img.raw
audio = EasyMP3(file_name, ID3=ID3)
try:
audio.add_tags()
except _util.error:
pass
audio.tags.add(
APIC(
encoding=3, # UTF-8
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3,113 | kalbhor/MusicTools | musictools/musictools.py | add_metadata | def add_metadata(file_name, title, artist, album):
"""
As the method name suggests
"""
tags = EasyMP3(file_name)
if title:
tags["title"] = title
if artist:
tags["artist"] = artist
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tags["album"] = album
tags.save()
return file_name | python | def add_metadata(file_name, title, artist, album):
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if title:
tags["title"] = title
if artist:
tags["artist"] = artist
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tags["album"] = album
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3,114 | kalbhor/MusicTools | musictools/musictools.py | revert_metadata | def revert_metadata(files):
"""
Removes all tags from a mp3 file
"""
for file_path in files:
tags = EasyMP3(file_path)
tags.delete()
tags.save() | python | def revert_metadata(files):
for file_path in files:
tags = EasyMP3(file_path)
tags.delete()
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3,115 | Tivix/django-braintree | django_braintree/models.py | UserVaultManager.get_user_vault_instance_or_none | def get_user_vault_instance_or_none(self, user):
"""Returns a vault_id string or None"""
qset = self.filter(user=user)
if not qset:
return None
if qset.count() > 1:
raise Exception('This app does not currently support multiple vault ids')
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qset = self.filter(user=user)
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raise Exception('This app does not currently support multiple vault ids')
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3,116 | Tivix/django-braintree | django_braintree/models.py | UserVaultManager.charge | def charge(self, user, vault_id=None):
"""If vault_id is not passed this will assume that there is only one instane of user and vault_id in the db."""
assert self.is_in_vault(user)
if vault_id:
user_vault = self.get(user=user, vault_id=vault_id)
else:
user_vault =... | python | def charge(self, user, vault_id=None):
assert self.is_in_vault(user)
if vault_id:
user_vault = self.get(user=user, vault_id=vault_id)
else:
user_vault = self.get(user=user) | [
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3,117 | Tivix/django-braintree | django_braintree/forms.py | UserCCDetailsForm.save | def save(self, prepend_vault_id=''):
"""
Adds or updates a users CC to the vault.
@prepend_vault_id: any string to prepend all vault id's with in case the same braintree account is used by
multiple projects/apps.
"""
assert self.is_valid()
cc_det... | python | def save(self, prepend_vault_id=''):
assert self.is_valid()
cc_details_map = { # cc details
'number': self.cleaned_data['cc_number'],
'cardholder_name': self.cleaned_data['name'],
'expiration_date': '%s/%s' %\
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3,118 | dropbox/pygerduty | pygerduty/events.py | Events.resolve_incident | def resolve_incident(self, incident_key,
description=None, details=None):
""" Causes the referenced incident to enter resolved state.
Send a resolve event when the problem that caused the initial
trigger has been fixed.
"""
return self.create_event(descr... | python | def resolve_incident(self, incident_key,
description=None, details=None):
return self.create_event(description, "resolve",
details, incident_key) | [
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3,119 | dropbox/pygerduty | pygerduty/common.py | clean_response | def clean_response(response):
'''Recurse through dictionary and replace any keys "self" with
"self_"'''
if type(response) is list:
for elem in response:
clean_response(elem)
elif type(response) is dict:
for key, val in response.items():
if key == 'self':
... | python | def clean_response(response):
'''Recurse through dictionary and replace any keys "self" with
"self_"'''
if type(response) is list:
for elem in response:
clean_response(elem)
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3,120 | dropbox/pygerduty | pygerduty/__init__.py | PagerDuty.acknowledge_incident | def acknowledge_incident(self, service_key, incident_key,
description=None, details=None):
""" Causes the referenced incident to enter the acknowledged state.
Send an acknowledge event when someone is presently working on the
incident.
"""
return sel... | python | def acknowledge_incident(self, service_key, incident_key,
description=None, details=None):
return self.create_event(service_key, description, "acknowledge",
details, incident_key) | [
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3,121 | dropbox/pygerduty | pygerduty/__init__.py | PagerDuty.trigger_incident | def trigger_incident(self, service_key, description,
incident_key=None, details=None,
client=None, client_url=None, contexts=None):
""" Report a new or ongoing problem. When PagerDuty receives a trigger,
it will either open a new incident, or add a new l... | python | def trigger_incident(self, service_key, description,
incident_key=None, details=None,
client=None, client_url=None, contexts=None):
return self.create_event(service_key, description, "trigger",
details, incident_key,
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3,122 | tanyaschlusser/array2gif | array2gif/core.py | try_fix_dataset | def try_fix_dataset(dataset):
"""Transpose the image data if it's in PIL format."""
if isinstance(dataset, numpy.ndarray):
if len(dataset.shape) == 3: # NumPy 3D
if dataset.shape[-1] == 3:
return dataset.transpose((2, 0, 1))
elif len(dataset.shape) == 4: # NumPy 4D
... | python | def try_fix_dataset(dataset):
if isinstance(dataset, numpy.ndarray):
if len(dataset.shape) == 3: # NumPy 3D
if dataset.shape[-1] == 3:
return dataset.transpose((2, 0, 1))
elif len(dataset.shape) == 4: # NumPy 4D
if dataset.shape[-1] == 3:
ret... | [
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3,123 | tanyaschlusser/array2gif | array2gif/core.py | get_image | def get_image(dataset):
"""Convert the NumPy array to two nested lists with r,g,b tuples."""
dim, nrow, ncol = dataset.shape
uint8_dataset = dataset.astype('uint8')
if not (uint8_dataset == dataset).all():
message = (
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dim, nrow, ncol = dataset.shape
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if not (uint8_dataset == dataset).all():
message = (
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3,124 | tanyaschlusser/array2gif | array2gif/core.py | get_colors | def get_colors(image):
"""Return a Counter containing each color and how often it appears.
"""
colors = Counter(pixel for row in image for pixel in row)
if len(colors) > 256:
msg = (
"The maximum number of distinct colors in a GIF is 256 but "
"this image has {} colors an... | python | def get_colors(image):
colors = Counter(pixel for row in image for pixel in row)
if len(colors) > 256:
msg = (
"The maximum number of distinct colors in a GIF is 256 but "
"this image has {} colors and can't be encoded properly."
)
raise RuntimeError(msg.format(le... | [
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3,125 | tanyaschlusser/array2gif | array2gif/core.py | _get_global_color_table | def _get_global_color_table(colors):
"""Return a color table sorted in descending order of count.
"""
global_color_table = b''.join(c[0] for c in colors.most_common())
full_table_size = 2**(1+int(get_color_table_size(len(colors)), 2))
repeats = 3 * (full_table_size - len(colors))
zeros = struct.... | python | def _get_global_color_table(colors):
global_color_table = b''.join(c[0] for c in colors.most_common())
full_table_size = 2**(1+int(get_color_table_size(len(colors)), 2))
repeats = 3 * (full_table_size - len(colors))
zeros = struct.pack('<{}x'.format(repeats))
return global_color_table + zeros | [
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3,126 | tanyaschlusser/array2gif | array2gif/core.py | _get_image_data | def _get_image_data(image, colors):
"""Performs the LZW compression as described by Matthew Flickinger.
This isn't fast, but it works.
http://www.matthewflickinger.com/lab/whatsinagif/lzw_image_data.asp
"""
lzw_code_size, coded_bits = _lzw_encode(image, colors)
coded_bytes = ''.join(
'{... | python | def _get_image_data(image, colors):
lzw_code_size, coded_bits = _lzw_encode(image, colors)
coded_bytes = ''.join(
'{{:0{}b}}'.format(nbits).format(val) for val, nbits in coded_bits)
coded_bytes = '0' * ((8 - len(coded_bytes)) % 8) + coded_bytes
coded_data = list(
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3,127 | tanyaschlusser/array2gif | array2gif/core.py | write_gif | def write_gif(dataset, filename, fps=10):
"""Write a NumPy array to GIF 89a format.
Or write a list of NumPy arrays to an animation (GIF 89a format).
- Positional arguments::
:param dataset: A NumPy arrayor list of arrays with shape
rgb x rows x cols and integer values in ... | python | def write_gif(dataset, filename, fps=10):
try:
check_dataset(dataset)
except ValueError as e:
dataset = try_fix_dataset(dataset)
check_dataset(dataset)
delay_time = 100 // int(fps)
def encode(d):
four_d = isinstance(dataset, numpy.ndarray) and len(dataset.shape) == 4
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3,128 | hovren/crisp | crisp/timesync.py | good_sequences_to_track | def good_sequences_to_track(flow, motion_threshold=1.0):
"""Get list of good frames to do tracking in.
Looking at the optical flow, this function chooses a span of frames
that fulfill certain criteria.
These include
* not being too short or too long
* not too low or too high mean flow m... | python | def good_sequences_to_track(flow, motion_threshold=1.0):
endpoints = []
in_low = False
for i, val in enumerate(flow):
if val < motion_threshold:
if not in_low:
endpoints.append(i)
in_low = True
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3,129 | hovren/crisp | crisp/calibration.py | AutoCalibrator.initialize | def initialize(self, gyro_rate, slices=None, skip_estimation=False):
"""Prepare calibrator for calibration
This method does three things:
1. Create slices from the video stream, if not already provided
2. Estimate time offset
3. Estimate rotation between camera and gyroscope
... | python | def initialize(self, gyro_rate, slices=None, skip_estimation=False):
self.params['user']['gyro_rate'] = gyro_rate
for p in ('gbias_x', 'gbias_y', 'gbias_z'):
self.params['initialized'][p] = 0.0
if slices is not None:
self.slices = slices
if self.slices is None:... | [
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3,130 | hovren/crisp | crisp/calibration.py | AutoCalibrator.video_time_to_gyro_sample | def video_time_to_gyro_sample(self, t):
"""Convert video time to gyroscope sample index and interpolation factor
Parameters
-------------------
t : float
Video timestamp
Returns
--------------------
n : int
Sample index that precedes t
... | python | def video_time_to_gyro_sample(self, t):
f_g = self.parameter['gyro_rate']
d_c = self.parameter['time_offset']
n = f_g * (t + d_c)
n0 = int(np.floor(n))
tau = n - n0
return n0, tau | [
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3,131 | hovren/crisp | crisp/calibration.py | AutoCalibrator.parameter | def parameter(self):
"""Return the current best value of a parameter"""
D = {}
for source in PARAM_SOURCE_ORDER:
D.update(self.params[source])
return D | python | def parameter(self):
D = {}
for source in PARAM_SOURCE_ORDER:
D.update(self.params[source])
return D | [
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3,132 | hovren/crisp | crisp/calibration.py | AutoCalibrator.print_params | def print_params(self):
"""Print the current best set of parameters"""
print("Parameters")
print("--------------------")
for param in PARAM_ORDER:
print(' {:>11s} = {}'.format(param, self.parameter[param])) | python | def print_params(self):
print("Parameters")
print("--------------------")
for param in PARAM_ORDER:
print(' {:>11s} = {}'.format(param, self.parameter[param])) | [
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3,133 | hovren/crisp | crisp/camera.py | AtanCameraModel.from_hdf | def from_hdf(cls, filename):
"""Load camera model params from a HDF5 file
The HDF5 file should contain the following datasets:
wc : (2,) float with distortion center
lgamma : float distortion parameter
readout : float readout value
size : (2,) int image s... | python | def from_hdf(cls, filename):
import h5py
with h5py.File(filename, 'r') as f:
wc = f["wc"].value
lgamma = f["lgamma"].value
K = f["K"].value
readout = f["readout"].value
image_size = f["size"].value
fps = f["fps"].value
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3,134 | hovren/crisp | crisp/camera.py | AtanCameraModel.invert | def invert(self, points):
"""Invert the distortion
Parameters
------------------
points : ndarray
Input image points
Returns
-----------------
ndarray
Undistorted points
"""
X = points if not points.ndim == 1 else points.r... | python | def invert(self, points):
X = points if not points.ndim == 1 else points.reshape((points.size, 1))
wx, wy = self.wc
# Switch to polar coordinates
rn = np.sqrt((X[0,:] - wx)**2 + (X[1,:] - wy)**2)
phi = np.arctan2(X[1,:] - wy, X[0,:]-wx)
# 'atan' method
r = np.ta... | [
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3,135 | hovren/crisp | crisp/camera.py | Kinect.purge_bad_timestamp_files | def purge_bad_timestamp_files(file_list):
"Given a list of image files, find bad frames, remove them and modify file_list"
MAX_INITIAL_BAD_FRAMES = 15
bad_ts = Kinect.detect_bad_timestamps(Kinect.timestamps_from_file_list(file_list))
# Trivial case
if not bad_ts:
... | python | def purge_bad_timestamp_files(file_list):
"Given a list of image files, find bad frames, remove them and modify file_list"
MAX_INITIAL_BAD_FRAMES = 15
bad_ts = Kinect.detect_bad_timestamps(Kinect.timestamps_from_file_list(file_list))
# Trivial case
if not bad_ts:
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3,136 | hovren/crisp | crisp/camera.py | Kinect.depth_file_for_nir_file | def depth_file_for_nir_file(video_filename, depth_file_list):
"""Returns the corresponding depth filename given a NIR filename"""
(root, filename) = os.path.split(video_filename)
needle_ts = int(filename.split('-')[2].split('.')[0])
haystack_ts_list = np.array(Kinect.timestamps_from_file... | python | def depth_file_for_nir_file(video_filename, depth_file_list):
(root, filename) = os.path.split(video_filename)
needle_ts = int(filename.split('-')[2].split('.')[0])
haystack_ts_list = np.array(Kinect.timestamps_from_file_list(depth_file_list))
haystack_idx = np.flatnonzero(haystack_ts_li... | [
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3,137 | hovren/crisp | crisp/camera.py | Kinect.find_nir_file_with_missing_depth | def find_nir_file_with_missing_depth(video_file_list, depth_file_list):
"Remove all files without its own counterpart. Returns new lists of files"
new_video_list = []
new_depth_list = []
for fname in video_file_list:
try:
depth_file = Kinect.depth_file_for_nir... | python | def find_nir_file_with_missing_depth(video_file_list, depth_file_list):
"Remove all files without its own counterpart. Returns new lists of files"
new_video_list = []
new_depth_list = []
for fname in video_file_list:
try:
depth_file = Kinect.depth_file_for_nir... | [
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3,138 | hovren/crisp | crisp/videoslice.py | fill_sampling | def fill_sampling(slice_list, N):
"""Given a list of slices, draw N samples such that each slice contributes as much as possible
Parameters
--------------------------
slice_list : list of Slice
List of slices
N : int
Number of samples to draw
"""
A = [len(s.inliers) for s in... | python | def fill_sampling(slice_list, N):
A = [len(s.inliers) for s in slice_list]
N_max = np.sum(A)
if N > N_max:
raise ValueError("Tried to draw {:d} samples from a pool of only {:d} items".format(N, N_max))
samples_from = np.zeros((len(A),), dtype='int') # Number of samples to draw from each gro... | [
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3,139 | hovren/crisp | crisp/videoslice.py | Slice.estimate_rotation | def estimate_rotation(self, camera, ransac_threshold=7.0):
"""Estimate the rotation between first and last frame
It uses RANSAC where the error metric is the reprojection error of the points
from the last frame to the first frame.
Parameters
-----------------
camera : C... | python | def estimate_rotation(self, camera, ransac_threshold=7.0):
if self.axis is None:
x = self.points[:, 0, :].T
y = self.points[:, -1, :].T
inlier_ratio = 0.5
R, t, dist, idx = rotations.estimate_rotation_procrustes_ransac(x, y,
... | [
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camera : CameraModel
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ransac_threshold : float
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3,140 | hovren/crisp | crisp/videoslice.py | Slice.from_stream_randomly | def from_stream_randomly(video_stream, step_bounds=(5, 15), length_bounds=(2, 15), max_start=None, min_distance=10, min_slice_points=10):
"""Create slices from a video stream using random sampling
Parameters
-----------------
video_stream : VideoStream
A video stream
... | python | def from_stream_randomly(video_stream, step_bounds=(5, 15), length_bounds=(2, 15), max_start=None, min_distance=10, min_slice_points=10):
new_step = lambda: int(np.random.uniform(low=step_bounds[0], high=step_bounds[1]))
new_length = lambda: int(np.random.uniform(low=length_bounds[0], high=length_bounds... | [
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Range bounds (inclusive) of possible step lengths
length_bounds : tuple
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3,141 | hovren/crisp | crisp/rotations.py | estimate_rotation_procrustes_ransac | def estimate_rotation_procrustes_ransac(x, y, camera, threshold, inlier_ratio=0.75, do_translation=False):
"""Calculate rotation between two sets of image coordinates using ransac.
Inlier criteria is the reprojection error of y into image 1.
Parameters
-------------------------
x : array 2xN i... | python | def estimate_rotation_procrustes_ransac(x, y, camera, threshold, inlier_ratio=0.75, do_translation=False):
assert x.shape == y.shape
assert x.shape[0] == 2
X = camera.unproject(x)
Y = camera.unproject(y)
data = np.vstack((X, Y, x))
assert data.shape[0] == 8
model_func = lambda... | [
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3,142 | hovren/crisp | crisp/ransac.py | RANSAC | def RANSAC(model_func, eval_func, data, num_points, num_iter, threshold, recalculate=False):
"""Apply RANSAC.
This RANSAC implementation will choose the best model based on the number of points in the consensus set. At evaluation time the model is created using num_points points. Then it will be recalculated u... | python | def RANSAC(model_func, eval_func, data, num_points, num_iter, threshold, recalculate=False):
M = None
max_consensus = 0
all_idx = list(range(data.shape[1]))
final_consensus = []
for k in range(num_iter):
np.random.shuffle(all_idx)
model_set = all_idx[:num_points]
x = data[:, ... | [
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3,143 | hovren/crisp | crisp/imu.py | IMU.integrate | def integrate(self, pose_correction=np.eye(3), uniform=True):
"""Integrate angular velocity measurements to rotations.
Parameters
-------------
pose_correction : (3,3) ndarray, optional
Rotation matrix that describes the relative pose between the IMU and something else (... | python | def integrate(self, pose_correction=np.eye(3), uniform=True):
if uniform:
dt = float(self.timestamps[1]-self.timestamps[0]) # Must be python float for fastintegrate to work
return fastintegrate.integrate_gyro_quaternion_uniform(self.gyro_data_corrected, dt)
else:
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3,144 | hovren/crisp | crisp/stream.py | GyroStream.from_csv | def from_csv(cls, filename):
"""Create gyro stream from CSV data
Load data from a CSV file.
The data must be formatted with three values per line: (x, y, z)
where x, y, z is the measured angular velocity (in radians) of the specified axis.
Parameters
-------------------... | python | def from_csv(cls, filename):
instance = cls()
instance.data = np.loadtxt(filename, delimiter=',')
return instance | [
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3,145 | hovren/crisp | crisp/stream.py | GyroStream.from_data | def from_data(cls, data):
"""Create gyroscope stream from data array
Parameters
-------------------
data : (N, 3) ndarray
Data array of angular velocities (rad/s)
Returns
-------------------
GyroStream
Stream object
"""
if... | python | def from_data(cls, data):
if not data.shape[1] == 3:
raise ValueError("Gyroscope data must have shape (N, 3)")
instance = cls()
instance.data = data
return instance | [
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3,146 | hovren/crisp | crisp/stream.py | GyroStream.integrate | def integrate(self, dt):
"""Integrate gyro measurements to orientation using a uniform sample rate.
Parameters
-------------------
dt : float
Sample distance in seconds
Returns
----------------
orientation : (4, N) ndarray
Gyrosco... | python | def integrate(self, dt):
if not dt == self.__last_dt:
self.__last_q = fastintegrate.integrate_gyro_quaternion_uniform(self.data, dt)
self.__last_dt = dt
return self.__last_q | [
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3,147 | hovren/crisp | crisp/znccpyr.py | gaussian_kernel | def gaussian_kernel(gstd):
"""Generate odd sized truncated Gaussian
The generated filter kernel has a cutoff at $3\sigma$
and is normalized to sum to 1
Parameters
-------------
gstd : float
Standard deviation of filter
Returns
-------------
g : ndarray
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Nc = np.ceil(gstd*3)*2+1
x = np.linspace(-(Nc-1)/2,(Nc-1)/2,Nc,endpoint=True)
g = np.exp(-.5*((x/gstd)**2))
g = g/np.sum(g)
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3,148 | hovren/crisp | crisp/znccpyr.py | subsample | def subsample(time_series, downsample_factor):
"""Subsample with Gaussian prefilter
The prefilter will have the filter size $\sigma_g=.5*ssfactor$
Parameters
--------------
time_series : ndarray
Input signal
downsample_factor : float
Downsampling factor
Retu... | python | def subsample(time_series, downsample_factor):
Ns = np.int(np.floor(np.size(time_series)/downsample_factor))
g = gaussian_kernel(0.5*downsample_factor)
ts_blur = np.convolve(time_series,g,'same')
ts_out = np.zeros((Ns,1), dtype='float64')
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3,149 | hovren/crisp | crisp/znccpyr.py | upsample | def upsample(time_series, scaling_factor):
"""Upsample using linear interpolation
The function uses replication of the value at edges
Parameters
--------------
time_series : ndarray
Input signal
scaling_factor : float
The factor to upsample with
Returns
---... | python | def upsample(time_series, scaling_factor):
Ns0 = np.size(time_series)
Ns = np.int(np.floor(np.size(time_series)*scaling_factor))
ts_out = np.zeros((Ns,1), dtype='float64')
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3,150 | hovren/crisp | crisp/znccpyr.py | find_shift_pyr | def find_shift_pyr(ts1,ts2,nlevels):
"""
Find shift that best aligns two time series
The shift that aligns the timeseries ts1 with ts2.
This is sought using zero mean normalized cross correlation (ZNCC) in a coarse to fine search with an octave pyramid on nlevels levels.
Parameters
-----------... | python | def find_shift_pyr(ts1,ts2,nlevels):
pyr1 = create_pyramid(ts1,nlevels)
pyr2 = create_pyramid(ts2,nlevels)
logger.debug("pyramid size = %d" % len(pyr1))
logger.debug("size of first element %d " % np.size(pyr1[0]))
logger.debug("size of last element %d " % np.size(pyr1[-1]))
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3,151 | hovren/crisp | examples/gopro_dataset_example.py | to_rot_matrix | def to_rot_matrix(r):
"Convert combined axis angle vector to rotation matrix"
theta = np.linalg.norm(r)
v = r/theta
R = crisp.rotations.axis_angle_to_rotation_matrix(v, theta)
return R | python | def to_rot_matrix(r):
"Convert combined axis angle vector to rotation matrix"
theta = np.linalg.norm(r)
v = r/theta
R = crisp.rotations.axis_angle_to_rotation_matrix(v, theta)
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3,152 | codejamninja/sphinx-markdown-builder | sphinx_markdown_builder/doctree2md.py | add_pass_thru | def add_pass_thru(pass_thrus):
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"""
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meth_name = meth_prefix + element_name
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3,153 | codejamninja/sphinx-markdown-builder | sphinx_markdown_builder/doctree2md.py | IndentLevel.write | def write(self):
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string = ''.join(self.content)
lines = string.splitlines(True)
if len(lines) == 0:
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3,154 | sbuss/bitmerchant | bitmerchant/wallet/bip32.py | Wallet.identifier | def identifier(self):
"""Get the identifier for this node.
Extended keys can be identified by the Hash160 (RIPEMD160 after SHA256)
of the public key's `key`. This corresponds exactly to the data used in
traditional Bitcoin addresses. It is not advised to represent this data
in b... | python | def identifier(self):
key = self.get_public_key_hex()
return ensure_bytes(hexlify(hash160(unhexlify(ensure_bytes(key))))) | [
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3,155 | sbuss/bitmerchant | bitmerchant/wallet/bip32.py | Wallet.get_child | def get_child(self, child_number, is_prime=None, as_private=True):
"""Derive a child key.
:param child_number: The number of the child key to compute
:type child_number: int
:param is_prime: If True, the child is calculated via private
derivation. If False, then public deriv... | python | def get_child(self, child_number, is_prime=None, as_private=True):
boundary = 0x80000000
# Note: If this boundary check gets removed, then children above
# the boundary should use private (prime) derivation.
if abs(child_number) >= boundary:
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3,156 | sbuss/bitmerchant | bitmerchant/wallet/bip32.py | Wallet.crack_private_key | def crack_private_key(self, child_private_key):
"""Crack the parent private key given a child private key.
BIP32 has a vulnerability/feature that allows you to recover the
master private key if you're given a master public key and any of its
publicly-derived child private keys. This is ... | python | def crack_private_key(self, child_private_key):
if self.private_key:
raise AssertionError("You already know the private key")
if child_private_key.parent_fingerprint != self.fingerprint:
raise ValueError("This is not a valid child")
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3,157 | CloverHealth/pytest-pgsql | deploy.py | _pypi_push | def _pypi_push(dist):
"""Push created package to PyPI.
Requires the following defined environment variables:
- TWINE_USERNAME: The PyPI username to upload this package under
- TWINE_PASSWORD: The password to the user's account
Args:
dist (str):
The distribution to push.... | python | def _pypi_push(dist):
# Register all distributions and wheels with PyPI. We have to list the dist
# directory and register each file individually because `twine` doesn't
# handle globs.
for filename in os.listdir(dist):
full_path = os.path.join(dist, filename)
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3,158 | CloverHealth/pytest-pgsql | deploy.py | deploy | def deploy(target):
"""Deploys the package and documentation.
Proceeds in the following steps:
1. Ensures proper environment variables are set and checks that we are on Circle CI
2. Tags the repository with the new version
3. Creates a standard distribution and a wheel
4. Updates version.py to... | python | def deploy(target):
# Ensure proper environment
if not os.getenv(CIRCLECI_ENV_VAR): # pragma: no cover
raise EnvironmentError('Must be on CircleCI to run this script')
current_branch = os.getenv('CIRCLE_BRANCH')
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3,159 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | _get_triplet | def _get_triplet(dd):
"""Return a triplet from a dialogue dictionary.
:param dd: Dialogue dictionary.
:type dd: Dict[str, str]
:return: (query, response, error response)
:rtype: (str, str | NoResponse, str | NoResponse)
"""
return _s(dd['q']), _s(dd.get('r', NoResponse)), _s(dd.get('e', NoR... | python | def _get_triplet(dd):
return _s(dd['q']), _s(dd.get('r', NoResponse)), _s(dd.get('e', NoResponse)) | [
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3,160 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | _load | def _load(content_or_fp):
"""YAML Parse a file or str and check version.
"""
try:
data = yaml.load(content_or_fp, Loader=yaml.loader.BaseLoader)
except Exception as e:
raise type(e)('Malformed yaml file:\n%r' % format_exc())
try:
ver = data['spec']
except:
raise ... | python | def _load(content_or_fp):
try:
data = yaml.load(content_or_fp, Loader=yaml.loader.BaseLoader)
except Exception as e:
raise type(e)('Malformed yaml file:\n%r' % format_exc())
try:
ver = data['spec']
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raise ValueError('The file does not specify a spec version')
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3,161 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | parse_resource | def parse_resource(name):
"""Parse a resource file
"""
with closing(pkg_resources.resource_stream(__name__, name)) as fp:
rbytes = fp.read()
return _load(StringIO(rbytes.decode('utf-8'))) | python | def parse_resource(name):
with closing(pkg_resources.resource_stream(__name__, name)) as fp:
rbytes = fp.read()
return _load(StringIO(rbytes.decode('utf-8'))) | [
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3,162 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | update_component | def update_component(name, comp, component_dict):
"""Get a component from a component dict.
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try:
comp.add_dialogue(*_get_pair(dia))
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msg = 'In device %s, malformed dialogue %s\n%r'
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for dia in component_dict.get('dialogues', ()):
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except Exception as e:
msg = 'In device %s, malformed dialogue %s\n%r'
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3,163 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | get_bases | def get_bases(definition_dict, loader):
"""Collect dependencies.
"""
bases = definition_dict.get('bases', ())
if bases:
bases = (loader.get_comp_dict(required_version=SPEC_VERSION_TUPLE[0],
**b)
for b in bases)
return SimpleChainmap... | python | def get_bases(definition_dict, loader):
bases = definition_dict.get('bases', ())
if bases:
bases = (loader.get_comp_dict(required_version=SPEC_VERSION_TUPLE[0],
**b)
for b in bases)
return SimpleChainmap(definition_dict, *bases)
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3,164 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | get_channel | def get_channel(device, ch_name, channel_dict, loader, resource_dict):
"""Get a channels from a channels dictionary.
:param name: name of the device
:param device_dict: device dictionary
:rtype: Device
"""
channel_dict = get_bases(channel_dict, loader)
r_ids = resource_dict.get('channel_id... | python | def get_channel(device, ch_name, channel_dict, loader, resource_dict):
channel_dict = get_bases(channel_dict, loader)
r_ids = resource_dict.get('channel_ids', {}).get(ch_name, [])
ids = r_ids if r_ids else channel_dict.get('ids', {})
can_select = False if channel_dict.get('can_select') == 'False' else... | [
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3,165 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | get_device | def get_device(name, device_dict, loader, resource_dict):
"""Get a device from a device dictionary.
:param name: name of the device
:param device_dict: device dictionary
:rtype: Device
"""
device = Device(name, device_dict.get('delimiter', ';').encode('utf-8'))
device_dict = get_bases(devi... | python | def get_device(name, device_dict, loader, resource_dict):
device = Device(name, device_dict.get('delimiter', ';').encode('utf-8'))
device_dict = get_bases(device_dict, loader)
err = device_dict.get('error', {})
device.add_error_handler(err)
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3,166 | pyvisa/pyvisa-sim | pyvisa-sim/parser.py | get_devices | def get_devices(filename, bundled):
"""Get a Devices object from a file.
:param filename: full path of the file to parse or name of the resource.
:param is_resource: boolean indicating if it is a resource.
:rtype: Devices
"""
loader = Loader(filename, bundled)
data = loader.data
devi... | python | def get_devices(filename, bundled):
loader = Loader(filename, bundled)
data = loader.data
devices = Devices()
# Iterate through the resources and generate each individual device
# on demand.
for resource_name, resource_dict in data.get('resources', {}).items():
device_name = resource... | [
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3,167 | pyvisa/pyvisa-sim | pyvisa-sim/channels.py | ChannelProperty.init_value | def init_value(self, string_value):
"""Create an empty defaultdict holding the default value.
"""
value = self.validate_value(string_value)
self._value = defaultdict(lambda: value) | python | def init_value(self, string_value):
value = self.validate_value(string_value)
self._value = defaultdict(lambda: value) | [
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3,168 | pyvisa/pyvisa-sim | pyvisa-sim/channels.py | ChannelProperty.set_value | def set_value(self, string_value):
"""Set the current value for a channel.
"""
value = self.validate_value(string_value)
self._value[self._channel._selected] = value | python | def set_value(self, string_value):
value = self.validate_value(string_value)
self._value[self._channel._selected] = value | [
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3,169 | pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels.add_dialogue | def add_dialogue(self, query, response):
"""Add dialogue to channel.
:param query: query string
:param response: response string
"""
self._dialogues['__default__'][to_bytes(query)] = to_bytes(response) | python | def add_dialogue(self, query, response):
self._dialogues['__default__'][to_bytes(query)] = to_bytes(response) | [
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3,170 | pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels.add_property | def add_property(self, name, default_value, getter_pair, setter_triplet,
specs):
"""Add property to channel
:param name: property name
:param default_value: default value as string
:param getter_pair: (query, response)
:param setter_triplet: (query, response... | python | def add_property(self, name, default_value, getter_pair, setter_triplet,
specs):
self._properties[name] = ChannelProperty(self, name,
default_value, specs)
if getter_pair:
query, response = getter_pair
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3,171 | pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels.match | def match(self, query):
"""Try to find a match for a query in the channel commands.
"""
if not self.can_select:
ch_id = self._device._properties['selected_channel'].get_value()
if ch_id in self._ids:
self._selected = ch_id
else:
... | python | def match(self, query):
if not self.can_select:
ch_id = self._device._properties['selected_channel'].get_value()
if ch_id in self._ids:
self._selected = ch_id
else:
return
response = self._match_dialog(query,
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3,172 | pyvisa/pyvisa-sim | pyvisa-sim/channels.py | Channels._match_setters | def _match_setters(self, query):
"""Try to find a match
"""
q = query.decode('utf-8')
for name, parser, response, error_response in self._setters:
try:
parsed = parser(q)
logger.debug('Found response in setter of %s' % name)
except ... | python | def _match_setters(self, query):
q = query.decode('utf-8')
for name, parser, response, error_response in self._setters:
try:
parsed = parser(q)
logger.debug('Found response in setter of %s' % name)
except ValueError:
continue
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3,173 | pyvisa/pyvisa-sim | pyvisa-sim/sessions.py | Session.get_session_class | def get_session_class(cls, interface_type, resource_class):
"""Return the session class for a given interface type and resource class.
:type interface_type: constants.InterfaceType
:type resource_class: str
:return: Session
"""
try:
return cls._session_classe... | python | def get_session_class(cls, interface_type, resource_class):
try:
return cls._session_classes[(interface_type, resource_class)]
except KeyError:
raise ValueError('No class registered for %s, %s' % (interface_type, resource_class)) | [
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3,174 | pyvisa/pyvisa-sim | pyvisa-sim/sessions.py | Session.register | def register(cls, interface_type, resource_class):
"""Register a session class for a given interface type and resource class.
:type interface_type: constants.InterfaceType
:type resource_class: str
"""
def _internal(python_class):
if (interface_type, resource_class) ... | python | def register(cls, interface_type, resource_class):
def _internal(python_class):
if (interface_type, resource_class) in cls._session_classes:
logger.warning('%s is already registered in the ResourceManager. '
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3,175 | pyvisa/pyvisa-sim | pyvisa-sim/component.py | to_bytes | def to_bytes(val):
"""Takes a text message and return a tuple
"""
if val is NoResponse:
return val
val = val.replace('\\r', '\r').replace('\\n', '\n')
return val.encode() | python | def to_bytes(val):
if val is NoResponse:
return val
val = val.replace('\\r', '\r').replace('\\n', '\n')
return val.encode() | [
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3,176 | pyvisa/pyvisa-sim | pyvisa-sim/component.py | Property.validate_value | def validate_value(self, string_value):
"""Validate that a value match the Property specs.
"""
specs = self.specs
if 'type' in specs:
value = specs['type'](string_value)
else:
value = string_value
if 'min' in specs and value < specs['min']:
... | python | def validate_value(self, string_value):
specs = self.specs
if 'type' in specs:
value = specs['type'](string_value)
else:
value = string_value
if 'min' in specs and value < specs['min']:
raise ValueError
if 'max' in specs and value > specs['max'... | [
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3,177 | pyvisa/pyvisa-sim | pyvisa-sim/component.py | Component._match_dialog | def _match_dialog(self, query, dialogues=None):
"""Tries to match in dialogues
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if dialogues is None:
dialogues = self._dialogues
... | python | def _match_dialog(self, query, dialogues=None):
if dialogues is None:
dialogues = self._dialogues
# Try to match in the queries
if query in dialogues:
response = dialogues[query]
logger.debug('Found response in queries: %s' % repr(response))
retu... | [
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3,178 | pyvisa/pyvisa-sim | pyvisa-sim/component.py | Component._match_getters | def _match_getters(self, query, getters=None):
"""Tries to match in getters
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if getters is None:
getters = self._getters
i... | python | def _match_getters(self, query, getters=None):
if getters is None:
getters = self._getters
if query in getters:
name, response = getters[query]
logger.debug('Found response in getter of %s' % name)
response = response.format(self._properties[name].get_val... | [
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3,179 | pyvisa/pyvisa-sim | pyvisa-sim/component.py | Component._match_setters | def _match_setters(self, query):
"""Tries to match in setters
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
q = query.decode('utf-8')
for name, parser, response, error_response in ... | python | def _match_setters(self, query):
q = query.decode('utf-8')
for name, parser, response, error_response in self._setters:
try:
value = parser(q)
logger.debug('Found response in setter of %s' % name)
except ValueError:
continue
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3,180 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.add_error_handler | def add_error_handler(self, error_input):
"""Add error handler to the device
"""
if isinstance(error_input, dict):
error_response = error_input.get('response', {})
cerr = error_response.get('command_error', NoResponse)
qerr = error_response.get('query_error',... | python | def add_error_handler(self, error_input):
if isinstance(error_input, dict):
error_response = error_input.get('response', {})
cerr = error_response.get('command_error', NoResponse)
qerr = error_response.get('query_error', NoResponse)
response_dict = {'command_erro... | [
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3,181 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.add_eom | def add_eom(self, type_class, query_termination, response_termination):
"""Add default end of message for a given interface type and resource class.
:param type_class: interface type and resource class as strings joined by space
:param query_termination: end of message used in queries.
... | python | def add_eom(self, type_class, query_termination, response_termination):
interface_type, resource_class = type_class.split(' ')
interface_type = getattr(constants.InterfaceType,
interface_type.lower())
self._eoms[(interface_type,
resource_class... | [
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3,182 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.write | def write(self, data):
"""Write data into the device input buffer.
:param data: single element byte
:type data: bytes
"""
logger.debug('Writing into device input buffer: %r' % data)
if not isinstance(data, bytes):
raise TypeError('data must be an instance of ... | python | def write(self, data):
logger.debug('Writing into device input buffer: %r' % data)
if not isinstance(data, bytes):
raise TypeError('data must be an instance of bytes')
if len(data) != 1:
msg = 'data must have a length of 1, not %d'
raise ValueError(msg % len(... | [
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3,183 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device.read | def read(self):
"""Return a single byte from the output buffer
"""
if self._output_buffer:
b, self._output_buffer = (self._output_buffer[0:1],
self._output_buffer[1:])
return b
return b'' | python | def read(self):
if self._output_buffer:
b, self._output_buffer = (self._output_buffer[0:1],
self._output_buffer[1:])
return b
return b'' | [
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3,184 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device._match | def _match(self, query):
"""Tries to match in dialogues, getters and setters and subcomponents
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
response = self._match_dialog(query)
if... | python | def _match(self, query):
response = self._match_dialog(query)
if response is not None:
return response
response = self._match_getters(query)
if response is not None:
return response
response = self._match_registers(query)
if response is not None:... | [
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3,185 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device._match_registers | def _match_registers(self, query):
"""Tries to match in status registers
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if query in self._status_registers:
register = self._stat... | python | def _match_registers(self, query):
if query in self._status_registers:
register = self._status_registers[query]
response = register.value
logger.debug('Found response in status register: %s',
repr(response))
register.clear()
r... | [
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3,186 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Device._match_errors_queues | def _match_errors_queues(self, query):
"""Tries to match in error queues
:param query: message tuple
:type query: Tuple[bytes]
:return: response if found or None
:rtype: Tuple[bytes] | None
"""
if query in self._error_queues:
queue = self._error_queue... | python | def _match_errors_queues(self, query):
if query in self._error_queues:
queue = self._error_queues[query]
response = queue.value
logger.debug('Found response in error queue: %s',
repr(response))
return response | [
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3,187 | pyvisa/pyvisa-sim | pyvisa-sim/devices.py | Devices.add_device | def add_device(self, resource_name, device):
"""Bind device to resource name
"""
if device.resource_name is not None:
msg = 'The device %r is already assigned to %s'
raise ValueError(msg % (device, device.resource_name))
device.resource_name = resource_name
... | python | def add_device(self, resource_name, device):
if device.resource_name is not None:
msg = 'The device %r is already assigned to %s'
raise ValueError(msg % (device, device.resource_name))
device.resource_name = resource_name
self._internal[device.resource_name] = device | [
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3,188 | percipient/django-querysetsequence | queryset_sequence/pagination.py | SequenceCursorPagination.get_ordering | def get_ordering(self, *args, **kwargs):
"""Take whatever the expected ordering is and then first order by QuerySet."""
result = super(SequenceCursorPagination, self).get_ordering(*args, **kwargs)
# Because paginate_queryset sets self.ordering after reading it...we
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result = super(SequenceCursorPagination, self).get_ordering(*args, **kwargs)
# Because paginate_queryset sets self.ordering after reading it...we
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3,189 | percipient/django-querysetsequence | queryset_sequence/pagination.py | SequenceCursorPagination.decode_cursor | def decode_cursor(self, request):
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"""
# Determine if we have a cursor, and if so then decode it.
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# Determine if we have a cursor, and if so then decode it.
encoded = request.query_params.get(self.cursor_query_param)
if encoded is None:
return None
try:
querystring = b64decode(encoded.encode('ascii')).decode('ascii')
... | [
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3,190 | percipient/django-querysetsequence | queryset_sequence/__init__.py | multiply_iterables | def multiply_iterables(it1, it2):
"""
Element-wise iterables multiplications.
"""
assert len(it1) == len(it2),\
"Can not element-wise multiply iterables of different length."
return list(map(mul, it1, it2)) | python | def multiply_iterables(it1, it2):
assert len(it1) == len(it2),\
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return list(map(mul, it1, it2)) | [
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3,191 | percipient/django-querysetsequence | queryset_sequence/__init__.py | ComparatorMixin._generate_comparator | def _generate_comparator(cls, field_names):
"""
Construct a comparator function based on the field names. The comparator
returns the first non-zero comparison value.
Inputs:
field_names (iterable of strings): The field names to sort on.
Returns:
A compar... | python | def _generate_comparator(cls, field_names):
# Ensure that field names is a list and not a tuple.
field_names = list(field_names)
# For fields that start with a '-', reverse the ordering of the
# comparison.
reverses = [1] * len(field_names)
for i, field_name in enumerate... | [
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3,192 | percipient/django-querysetsequence | queryset_sequence/__init__.py | QuerySetSequence._filter_or_exclude_querysets | def _filter_or_exclude_querysets(self, negate, **kwargs):
"""
Similar to QuerySet._filter_or_exclude, but run over the QuerySets in
the QuerySetSequence instead of over each QuerySet's fields.
"""
# Ensure negate is a boolean.
negate = bool(negate)
for kwarg, val... | python | def _filter_or_exclude_querysets(self, negate, **kwargs):
# Ensure negate is a boolean.
negate = bool(negate)
for kwarg, value in kwargs.items():
parts = kwarg.split(LOOKUP_SEP)
# Ensure this is being used to filter QuerySets.
if parts[0] != '#':
... | [
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3,193 | cognitect/transit-python | transit/rolling_cache.py | RollingCache.decode | def decode(self, name, as_map_key=False):
"""Always returns the name"""
if is_cache_key(name) and (name in self.key_to_value):
return self.key_to_value[name]
return self.encache(name) if is_cacheable(name, as_map_key) else name | python | def decode(self, name, as_map_key=False):
if is_cache_key(name) and (name in self.key_to_value):
return self.key_to_value[name]
return self.encache(name) if is_cacheable(name, as_map_key) else name | [
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3,194 | cognitect/transit-python | transit/rolling_cache.py | RollingCache.encode | def encode(self, name, as_map_key=False):
"""Returns the name the first time and the key after that"""
if name in self.key_to_value:
return self.key_to_value[name]
return self.encache(name) if is_cacheable(name, as_map_key) else name | python | def encode(self, name, as_map_key=False):
if name in self.key_to_value:
return self.key_to_value[name]
return self.encache(name) if is_cacheable(name, as_map_key) else name | [
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3,195 | cognitect/transit-python | transit/sosjson.py | read_chunk | def read_chunk(stream):
"""Ignore whitespace outside of strings. If we hit a string, read it in
its entirety.
"""
chunk = stream.read(1)
while chunk in SKIP:
chunk = stream.read(1)
if chunk == "\"":
chunk += stream.read(1)
while not chunk.endswith("\""):
if ch... | python | def read_chunk(stream):
chunk = stream.read(1)
while chunk in SKIP:
chunk = stream.read(1)
if chunk == "\"":
chunk += stream.read(1)
while not chunk.endswith("\""):
if chunk[-1] == ESCAPE:
chunk += stream.read(2)
else:
chunk += ... | [
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3,196 | cognitect/transit-python | transit/sosjson.py | yield_json | def yield_json(stream):
"""Uses array and object delimiter counts for balancing.
"""
buff = u""
arr_count = 0
obj_count = 0
while True:
buff += read_chunk(stream)
# If we finish parsing all objs or arrays, yield a finished JSON
# entity.
if buff.endswith('{'):
... | python | def yield_json(stream):
buff = u""
arr_count = 0
obj_count = 0
while True:
buff += read_chunk(stream)
# If we finish parsing all objs or arrays, yield a finished JSON
# entity.
if buff.endswith('{'):
obj_count += 1
if buff.endswith('['):
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3,197 | cognitect/transit-python | transit/writer.py | Marshaler.are_stringable_keys | def are_stringable_keys(self, m):
"""Test whether the keys within a map are stringable - a simple map,
that can be optimized and whose keys can be cached
"""
for x in m.keys():
if len(self.handlers[x].tag(x)) != 1:
return False
return True | python | def are_stringable_keys(self, m):
for x in m.keys():
if len(self.handlers[x].tag(x)) != 1:
return False
return True | [
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3,198 | cognitect/transit-python | transit/writer.py | Marshaler.marshal_top | def marshal_top(self, obj, cache=None):
"""Given a complete object that needs to be marshaled into Transit
data, and optionally a cache, dispatch accordingly, and flush the data
directly into the IO stream.
"""
if not cache:
cache = RollingCache()
handler = s... | python | def marshal_top(self, obj, cache=None):
if not cache:
cache = RollingCache()
handler = self.handlers[obj]
tag = handler.tag(obj)
if tag:
if len(tag) == 1:
self.marshal(TaggedValue(QUOTE, obj), False, cache)
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3,199 | cognitect/transit-python | transit/writer.py | Marshaler.dispatch_map | def dispatch_map(self, rep, as_map_key, cache):
"""Used to determine and dipatch the writing of a map - a simple
map with strings as keys, or a complex map, whose keys are also
compound types.
"""
if self.are_stringable_keys(rep):
return self.emit_map(rep, as_map_key,... | python | def dispatch_map(self, rep, as_map_key, cache):
if self.are_stringable_keys(rep):
return self.emit_map(rep, as_map_key, cache)
return self.emit_cmap(rep, as_map_key, cache) | [
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