body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
0fe60dab3976e9587ed5c89b802523db38bbc451ce116b9f7a4242ab0884bcc7 | def tablewrite(self):
' Writing the results to a excel file '
wb = openpyxl.load_workbook(self.master)
ws = wb.active
row_count = 3
row = 3
p_number = TimeCalc(readfile).pnumber()
time = TimeCalc(readfile).results()
count_var = 0
while (ws.cell(row=row_count, column=2).value != None)... | Writing the results to a excel file | Tidskalkyle.py | tablewrite | UniQueKakarot/Tidskalkyle | 0 | python | def tablewrite(self):
' '
wb = openpyxl.load_workbook(self.master)
ws = wb.active
row_count = 3
row = 3
p_number = TimeCalc(readfile).pnumber()
time = TimeCalc(readfile).results()
count_var = 0
while (ws.cell(row=row_count, column=2).value != None):
if (ws.cell(row=row_count... | def tablewrite(self):
' '
wb = openpyxl.load_workbook(self.master)
ws = wb.active
row_count = 3
row = 3
p_number = TimeCalc(readfile).pnumber()
time = TimeCalc(readfile).results()
count_var = 0
while (ws.cell(row=row_count, column=2).value != None):
if (ws.cell(row=row_count... |
2c3f099578c46d35c34da2dd7a9a89a288347a1bac0b8c0f80ea378123c3bbdf | def _get_font(self, prop):
'\n Find the `FT2Font` matching font properties *prop*, with its size set.\n '
fname = font_manager.findfont(prop)
font = get_font(fname)
font.set_size(self.FONT_SCALE, self.DPI)
return font | Find the `FT2Font` matching font properties *prop*, with its size set. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | _get_font | LucaCilibrasi/docker_viruclust | 603 | python | def _get_font(self, prop):
'\n \n '
fname = font_manager.findfont(prop)
font = get_font(fname)
font.set_size(self.FONT_SCALE, self.DPI)
return font | def _get_font(self, prop):
'\n \n '
fname = font_manager.findfont(prop)
font = get_font(fname)
font.set_size(self.FONT_SCALE, self.DPI)
return font<|docstring|>Find the `FT2Font` matching font properties *prop*, with its size set.<|endoftext|> |
f893c6df0f5b6c7bfa5690f5ca1309a381289fc9e097bf6fc86f74533e52cf49 | def _get_char_id(self, font, ccode):
'\n Return a unique id for the given font and character-code set.\n '
return urllib.parse.quote(f'{font.postscript_name}-{ccode:x}') | Return a unique id for the given font and character-code set. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | _get_char_id | LucaCilibrasi/docker_viruclust | 603 | python | def _get_char_id(self, font, ccode):
'\n \n '
return urllib.parse.quote(f'{font.postscript_name}-{ccode:x}') | def _get_char_id(self, font, ccode):
'\n \n '
return urllib.parse.quote(f'{font.postscript_name}-{ccode:x}')<|docstring|>Return a unique id for the given font and character-code set.<|endoftext|> |
38726d7dfb0e3ddd0ee81b8fa6f4303085621440f6a1a4ebe75df302fe2f9ba2 | def get_text_path(self, prop, s, ismath=False):
'\n Convert text *s* to path (a tuple of vertices and codes for\n matplotlib.path.Path).\n\n Parameters\n ----------\n prop : `~matplotlib.font_manager.FontProperties`\n The font properties for the text.\n\n s : str... | Convert text *s* to path (a tuple of vertices and codes for
matplotlib.path.Path).
Parameters
----------
prop : `~matplotlib.font_manager.FontProperties`
The font properties for the text.
s : str
The text to be converted.
ismath : {False, True, "TeX"}
If True, use mathtext parser. If "TeX", use tex for ... | venv/lib/python3.9/site-packages/matplotlib/textpath.py | get_text_path | LucaCilibrasi/docker_viruclust | 603 | python | def get_text_path(self, prop, s, ismath=False):
'\n Convert text *s* to path (a tuple of vertices and codes for\n matplotlib.path.Path).\n\n Parameters\n ----------\n prop : `~matplotlib.font_manager.FontProperties`\n The font properties for the text.\n\n s : str... | def get_text_path(self, prop, s, ismath=False):
'\n Convert text *s* to path (a tuple of vertices and codes for\n matplotlib.path.Path).\n\n Parameters\n ----------\n prop : `~matplotlib.font_manager.FontProperties`\n The font properties for the text.\n\n s : str... |
c5c531c0411522c9fc973972bcc1152029375189202210b5f2b65f379258e031 | def get_glyphs_with_font(self, font, s, glyph_map=None, return_new_glyphs_only=False):
'\n Convert string *s* to vertices and codes using the provided ttf font.\n '
if (glyph_map is None):
glyph_map = OrderedDict()
if return_new_glyphs_only:
glyph_map_new = OrderedDict()
el... | Convert string *s* to vertices and codes using the provided ttf font. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | get_glyphs_with_font | LucaCilibrasi/docker_viruclust | 603 | python | def get_glyphs_with_font(self, font, s, glyph_map=None, return_new_glyphs_only=False):
'\n \n '
if (glyph_map is None):
glyph_map = OrderedDict()
if return_new_glyphs_only:
glyph_map_new = OrderedDict()
else:
glyph_map_new = glyph_map
xpositions = []
glyph_i... | def get_glyphs_with_font(self, font, s, glyph_map=None, return_new_glyphs_only=False):
'\n \n '
if (glyph_map is None):
glyph_map = OrderedDict()
if return_new_glyphs_only:
glyph_map_new = OrderedDict()
else:
glyph_map_new = glyph_map
xpositions = []
glyph_i... |
2295d303f70aabc281b061fd59ec233e7d19c803f75b46f7fc3ee11c97def680 | def get_glyphs_mathtext(self, prop, s, glyph_map=None, return_new_glyphs_only=False):
'\n Parse mathtext string *s* and convert it to a (vertices, codes) pair.\n '
prop = prop.copy()
prop.set_size(self.FONT_SCALE)
(width, height, descent, glyphs, rects) = self.mathtext_parser.parse(s, self... | Parse mathtext string *s* and convert it to a (vertices, codes) pair. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | get_glyphs_mathtext | LucaCilibrasi/docker_viruclust | 603 | python | def get_glyphs_mathtext(self, prop, s, glyph_map=None, return_new_glyphs_only=False):
'\n \n '
prop = prop.copy()
prop.set_size(self.FONT_SCALE)
(width, height, descent, glyphs, rects) = self.mathtext_parser.parse(s, self.DPI, prop)
if (not glyph_map):
glyph_map = OrderedDict()... | def get_glyphs_mathtext(self, prop, s, glyph_map=None, return_new_glyphs_only=False):
'\n \n '
prop = prop.copy()
prop.set_size(self.FONT_SCALE)
(width, height, descent, glyphs, rects) = self.mathtext_parser.parse(s, self.DPI, prop)
if (not glyph_map):
glyph_map = OrderedDict()... |
72c8cda8696be61bd098cf8b652f6bb7ac7a394ebfc0f68b895b20b5dda4a2e1 | def get_texmanager(self):
'Return the cached `~.texmanager.TexManager` instance.'
if (self._texmanager is None):
from matplotlib.texmanager import TexManager
self._texmanager = TexManager()
return self._texmanager | Return the cached `~.texmanager.TexManager` instance. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | get_texmanager | LucaCilibrasi/docker_viruclust | 603 | python | def get_texmanager(self):
if (self._texmanager is None):
from matplotlib.texmanager import TexManager
self._texmanager = TexManager()
return self._texmanager | def get_texmanager(self):
if (self._texmanager is None):
from matplotlib.texmanager import TexManager
self._texmanager = TexManager()
return self._texmanager<|docstring|>Return the cached `~.texmanager.TexManager` instance.<|endoftext|> |
c229b3f699de4e4c008f31d95b24a48db72cd5ca4f69466e614472f80459ca05 | def get_glyphs_tex(self, prop, s, glyph_map=None, return_new_glyphs_only=False):
'Convert the string *s* to vertices and codes using usetex mode.'
dvifile = self.get_texmanager().make_dvi(s, self.FONT_SCALE)
with dviread.Dvi(dvifile, self.DPI) as dvi:
(page,) = dvi
if (glyph_map is None):
... | Convert the string *s* to vertices and codes using usetex mode. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | get_glyphs_tex | LucaCilibrasi/docker_viruclust | 603 | python | def get_glyphs_tex(self, prop, s, glyph_map=None, return_new_glyphs_only=False):
dvifile = self.get_texmanager().make_dvi(s, self.FONT_SCALE)
with dviread.Dvi(dvifile, self.DPI) as dvi:
(page,) = dvi
if (glyph_map is None):
glyph_map = OrderedDict()
if return_new_glyphs_only:
... | def get_glyphs_tex(self, prop, s, glyph_map=None, return_new_glyphs_only=False):
dvifile = self.get_texmanager().make_dvi(s, self.FONT_SCALE)
with dviread.Dvi(dvifile, self.DPI) as dvi:
(page,) = dvi
if (glyph_map is None):
glyph_map = OrderedDict()
if return_new_glyphs_only:
... |
b8f82f6009e6185a9726e2e2d75e53092b03bec77b4cc445cb793915a14f2e25 | def __init__(self, xy, s, size=None, prop=None, _interpolation_steps=1, usetex=False):
'\n Create a path from the text. Note that it simply is a path,\n not an artist. You need to use the `~.PathPatch` (or other artists)\n to draw this path onto the canvas.\n\n Parameters\n ------... | Create a path from the text. Note that it simply is a path,
not an artist. You need to use the `~.PathPatch` (or other artists)
to draw this path onto the canvas.
Parameters
----------
xy : tuple or array of two float values
Position of the text. For no offset, use ``xy=(0, 0)``.
s : str
The text to convert t... | venv/lib/python3.9/site-packages/matplotlib/textpath.py | __init__ | LucaCilibrasi/docker_viruclust | 603 | python | def __init__(self, xy, s, size=None, prop=None, _interpolation_steps=1, usetex=False):
'\n Create a path from the text. Note that it simply is a path,\n not an artist. You need to use the `~.PathPatch` (or other artists)\n to draw this path onto the canvas.\n\n Parameters\n ------... | def __init__(self, xy, s, size=None, prop=None, _interpolation_steps=1, usetex=False):
'\n Create a path from the text. Note that it simply is a path,\n not an artist. You need to use the `~.PathPatch` (or other artists)\n to draw this path onto the canvas.\n\n Parameters\n ------... |
f2ee19757d1e1bacdc0b8f52979dd781e364f993c0eb40a5cb890f5c740c88da | def set_size(self, size):
'Set the text size.'
self._size = size
self._invalid = True | Set the text size. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | set_size | LucaCilibrasi/docker_viruclust | 603 | python | def set_size(self, size):
self._size = size
self._invalid = True | def set_size(self, size):
self._size = size
self._invalid = True<|docstring|>Set the text size.<|endoftext|> |
7ea810a06dccae9c916cc724be1c192543ae5d4d3a65e6a8faed5dbf4c730c0d | def get_size(self):
'Get the text size.'
return self._size | Get the text size. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | get_size | LucaCilibrasi/docker_viruclust | 603 | python | def get_size(self):
return self._size | def get_size(self):
return self._size<|docstring|>Get the text size.<|endoftext|> |
1e9e6e023c2ffb034aac8f06e1da597efdb6d94fdfd9ad0fc9e45671d32b3de2 | @property
def vertices(self):
'\n Return the cached path after updating it if necessary.\n '
self._revalidate_path()
return self._cached_vertices | Return the cached path after updating it if necessary. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | vertices | LucaCilibrasi/docker_viruclust | 603 | python | @property
def vertices(self):
'\n \n '
self._revalidate_path()
return self._cached_vertices | @property
def vertices(self):
'\n \n '
self._revalidate_path()
return self._cached_vertices<|docstring|>Return the cached path after updating it if necessary.<|endoftext|> |
f19c9c2ecf69fde51a4359c921cf0a5b521ad5a82c6c56ce67e73e52b709b375 | @property
def codes(self):
'\n Return the codes\n '
return self._codes | Return the codes | venv/lib/python3.9/site-packages/matplotlib/textpath.py | codes | LucaCilibrasi/docker_viruclust | 603 | python | @property
def codes(self):
'\n \n '
return self._codes | @property
def codes(self):
'\n \n '
return self._codes<|docstring|>Return the codes<|endoftext|> |
fffc71f6c3813fc5d87e8761a3526277499a26d539ce2fb6b180e6dbc99314f0 | def _revalidate_path(self):
'\n Update the path if necessary.\n\n The path for the text is initially create with the font size of\n `~.FONT_SCALE`, and this path is rescaled to other size when necessary.\n '
if (self._invalid or (self._cached_vertices is None)):
tr = Affine2D... | Update the path if necessary.
The path for the text is initially create with the font size of
`~.FONT_SCALE`, and this path is rescaled to other size when necessary. | venv/lib/python3.9/site-packages/matplotlib/textpath.py | _revalidate_path | LucaCilibrasi/docker_viruclust | 603 | python | def _revalidate_path(self):
'\n Update the path if necessary.\n\n The path for the text is initially create with the font size of\n `~.FONT_SCALE`, and this path is rescaled to other size when necessary.\n '
if (self._invalid or (self._cached_vertices is None)):
tr = Affine2D... | def _revalidate_path(self):
'\n Update the path if necessary.\n\n The path for the text is initially create with the font size of\n `~.FONT_SCALE`, and this path is rescaled to other size when necessary.\n '
if (self._invalid or (self._cached_vertices is None)):
tr = Affine2D... |
df1587f9f89722254ed4b8ee56b7b73b5e8761f6db7e390d4ce93a701397e1e9 | def test_plot_gp_dist(self):
'Test that the plotting helper works with the stated input shapes.'
import matplotlib.pyplot as plt
X = 100
S = 500
(fig, ax) = plt.subplots()
pm.gp.util.plot_gp_dist(ax, x=np.linspace(0, 50, X), samples=np.random.normal(np.arange(X), size=(S, X)))
plt.close()
... | Test that the plotting helper works with the stated input shapes. | pymc/tests/test_gp.py | test_plot_gp_dist | xjing76/pymc | 5,476 | python | def test_plot_gp_dist(self):
import matplotlib.pyplot as plt
X = 100
S = 500
(fig, ax) = plt.subplots()
pm.gp.util.plot_gp_dist(ax, x=np.linspace(0, 50, X), samples=np.random.normal(np.arange(X), size=(S, X)))
plt.close()
pass | def test_plot_gp_dist(self):
import matplotlib.pyplot as plt
X = 100
S = 500
(fig, ax) = plt.subplots()
pm.gp.util.plot_gp_dist(ax, x=np.linspace(0, 50, X), samples=np.random.normal(np.arange(X), size=(S, X)))
plt.close()
pass<|docstring|>Test that the plotting helper works with the sta... |
1ce0f7fe8b684c93437693b2e852b3e1f6d70e36685d6a2e20520fc4ad5e70db | def test_plot_gp_dist_warn_nan(self):
'Test that the plotting helper works with the stated input shapes.'
import matplotlib.pyplot as plt
X = 100
S = 500
samples = np.random.normal(np.arange(X), size=(S, X))
samples[(15, 3)] = np.nan
(fig, ax) = plt.subplots()
with pytest.warns(UserWarni... | Test that the plotting helper works with the stated input shapes. | pymc/tests/test_gp.py | test_plot_gp_dist_warn_nan | xjing76/pymc | 5,476 | python | def test_plot_gp_dist_warn_nan(self):
import matplotlib.pyplot as plt
X = 100
S = 500
samples = np.random.normal(np.arange(X), size=(S, X))
samples[(15, 3)] = np.nan
(fig, ax) = plt.subplots()
with pytest.warns(UserWarning):
pm.gp.util.plot_gp_dist(ax, x=np.linspace(0, 50, X), s... | def test_plot_gp_dist_warn_nan(self):
import matplotlib.pyplot as plt
X = 100
S = 500
samples = np.random.normal(np.arange(X), size=(S, X))
samples[(15, 3)] = np.nan
(fig, ax) = plt.subplots()
with pytest.warns(UserWarning):
pm.gp.util.plot_gp_dist(ax, x=np.linspace(0, 50, X), s... |
266262ca5e9011b745ea2523193c677617c6ccbb7eaea5f474083bfe16ba29f3 | @task(ignore_result=True)
def import_data(import_pk, request_POST):
"\n Run contacts import in the background, import_contacts is a dict:\n {'line_number ': {\n 'target: 'new' or 'id' # Create new contact or update 'id'\n 'form': {} # form for contact\n }, }\n of ... | Run contacts import in the background, import_contacts is a dict:
{'line_number ': {
'target: 'new' or 'id' # Create new contact or update 'id'
'form': {} # form for contact
}, }
of contact to import/create or update | djangoplicity/contacts/tasks.py | import_data | djangoplicity/djangoplicity-contacts | 0 | python | @task(ignore_result=True)
def import_data(import_pk, request_POST):
"\n Run contacts import in the background, import_contacts is a dict:\n {'line_number ': {\n 'target: 'new' or 'id' # Create new contact or update 'id'\n 'form': {} # form for contact\n }, }\n of ... | @task(ignore_result=True)
def import_data(import_pk, request_POST):
"\n Run contacts import in the background, import_contacts is a dict:\n {'line_number ': {\n 'target: 'new' or 'id' # Create new contact or update 'id'\n 'form': {} # form for contact\n }, }\n of ... |
5c715c5dc8f2ac35eac51142a7a22840ff2912393ba9593ba59342e2d666614f | @task(ignore_result=True)
def prepare_import(import_pk, email):
'\n Look for potential duplicates in import\n '
logger = prepare_import.get_logger()
from djangoplicity.contacts.models import Import
obj = Import.objects.get(pk=import_pk)
if obj.prepare_import():
obj.status = 'review'
... | Look for potential duplicates in import | djangoplicity/contacts/tasks.py | prepare_import | djangoplicity/djangoplicity-contacts | 0 | python | @task(ignore_result=True)
def prepare_import(import_pk, email):
'\n \n '
logger = prepare_import.get_logger()
from djangoplicity.contacts.models import Import
obj = Import.objects.get(pk=import_pk)
if obj.prepare_import():
obj.status = 'review'
obj.save()
logger.warning... | @task(ignore_result=True)
def prepare_import(import_pk, email):
'\n \n '
logger = prepare_import.get_logger()
from djangoplicity.contacts.models import Import
obj = Import.objects.get(pk=import_pk)
if obj.prepare_import():
obj.status = 'review'
obj.save()
logger.warning... |
3ba8d54c16a06ecc8d25855a271e2fba54a9ef6a0eec246c83e52117beacc869 | @task(ignore_result=True)
def run_deduplication(deduplication_pk, email):
'\n Look for potential duplicates in groups selected in deduplication\n '
logger = run_deduplication.get_logger()
from djangoplicity.contacts.models import Deduplication
dedup = Deduplication.objects.get(pk=deduplication_pk)... | Look for potential duplicates in groups selected in deduplication | djangoplicity/contacts/tasks.py | run_deduplication | djangoplicity/djangoplicity-contacts | 0 | python | @task(ignore_result=True)
def run_deduplication(deduplication_pk, email):
'\n \n '
logger = run_deduplication.get_logger()
from djangoplicity.contacts.models import Deduplication
dedup = Deduplication.objects.get(pk=deduplication_pk)
if dedup.run():
dedup.status = 'review'
dedu... | @task(ignore_result=True)
def run_deduplication(deduplication_pk, email):
'\n \n '
logger = run_deduplication.get_logger()
from djangoplicity.contacts.models import Deduplication
dedup = Deduplication.objects.get(pk=deduplication_pk)
if dedup.run():
dedup.status = 'review'
dedu... |
2148b39f9fb91400c3aa89d7dcb42a4c41ed6861c5568ab01c9c6e6c143ffe8f | def _get_group(self, group_name):
'\n Get a group by its name\n '
from djangoplicity.contacts.models import ContactGroup
return ContactGroup.objects.get(name=group_name) | Get a group by its name | djangoplicity/contacts/tasks.py | _get_group | djangoplicity/djangoplicity-contacts | 0 | python | def _get_group(self, group_name):
'\n \n '
from djangoplicity.contacts.models import ContactGroup
return ContactGroup.objects.get(name=group_name) | def _get_group(self, group_name):
'\n \n '
from djangoplicity.contacts.models import ContactGroup
return ContactGroup.objects.get(name=group_name)<|docstring|>Get a group by its name<|endoftext|> |
eab22337c3b5bc55772047d919e400906f9e85faf51676822e87012e4c3d7fc8 | def _get_object(self, model_identifier, pk):
'\n Helper method to get the object by model_identifier and primiary key ( e.g "contacts.contact" and 2579 )\n '
Model = apps.get_model(*model_identifier.split('.'))
return Model.objects.get(pk=pk) | Helper method to get the object by model_identifier and primiary key ( e.g "contacts.contact" and 2579 ) | djangoplicity/contacts/tasks.py | _get_object | djangoplicity/djangoplicity-contacts | 0 | python | def _get_object(self, model_identifier, pk):
'\n \n '
Model = apps.get_model(*model_identifier.split('.'))
return Model.objects.get(pk=pk) | def _get_object(self, model_identifier, pk):
'\n \n '
Model = apps.get_model(*model_identifier.split('.'))
return Model.objects.get(pk=pk)<|docstring|>Helper method to get the object by model_identifier and primiary key ( e.g "contacts.contact" and 2579 )<|endoftext|> |
1c39aa550c7cbdb92e1f94cac00deb827d6e19ff28ae0412ec8772db9a08a4e8 | def run(self, conf, model_identifier=None, pk=None, **kwargs):
'\n Update contact based on new field values in kwargs.\n '
from djangoplicity.contacts.models import Contact
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
de... | Update contact based on new field values in kwargs. | djangoplicity/contacts/tasks.py | run | djangoplicity/djangoplicity-contacts | 0 | python | def run(self, conf, model_identifier=None, pk=None, **kwargs):
'\n \n '
from djangoplicity.contacts.models import Contact
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
defaults = {}
g_names = []
for (k, v)... | def run(self, conf, model_identifier=None, pk=None, **kwargs):
'\n \n '
from djangoplicity.contacts.models import Contact
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
defaults = {}
g_names = []
for (k, v)... |
14061c5a2c414fda2be3642194ee405a245fe71ba3a7556a2ffc31041c7d6fd4 | def run(self, conf, list_id=None, new_email=None, old_email=None, **kwargs):
'\n Update contact email based on new field values in kwargs.\n '
from djangoplicity.contacts.models import Contact
from djangoplicity.mailinglists.models import MailChimpList
if (list_id and new_email and old_ema... | Update contact email based on new field values in kwargs. | djangoplicity/contacts/tasks.py | run | djangoplicity/djangoplicity-contacts | 0 | python | def run(self, conf, list_id=None, new_email=None, old_email=None, **kwargs):
'\n \n '
from djangoplicity.contacts.models import Contact
from djangoplicity.mailinglists.models import MailChimpList
if (list_id and new_email and old_email):
contact = None
try:
m_li... | def run(self, conf, list_id=None, new_email=None, old_email=None, **kwargs):
'\n \n '
from djangoplicity.contacts.models import Contact
from djangoplicity.mailinglists.models import MailChimpList
if (list_id and new_email and old_email):
contact = None
try:
m_li... |
9bc190838ae271a22f771014064921bc2d14a23bf1f5bedb29f175449393f837 | def run(self, conf, model_identifier=None, pk=None, **kwargs):
'\n Create contact based on new field values in kwargs.\n '
from djangoplicity.contacts.models import Contact
if (not model_identifier):
model_identifier = 'contacts.contact'
if ((model_identifier == 'contacts.contact')... | Create contact based on new field values in kwargs. | djangoplicity/contacts/tasks.py | run | djangoplicity/djangoplicity-contacts | 0 | python | def run(self, conf, model_identifier=None, pk=None, **kwargs):
'\n \n '
from djangoplicity.contacts.models import Contact
if (not model_identifier):
model_identifier = 'contacts.contact'
if ((model_identifier == 'contacts.contact') and (pk is None)):
defaults = {}
g... | def run(self, conf, model_identifier=None, pk=None, **kwargs):
'\n \n '
from djangoplicity.contacts.models import Contact
if (not model_identifier):
model_identifier = 'contacts.contact'
if ((model_identifier == 'contacts.contact') and (pk is None)):
defaults = {}
g... |
15648c36968b2321f66d629edcde01231f2d5b5bc5bf91946de6cdbd298f384c | def run(self, conf, model_identifier=None, pk=None):
'\n Add a contact to a group\n '
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
group = self._get_group(conf['group'])
contact.groups.add(group)
self.get_log... | Add a contact to a group | djangoplicity/contacts/tasks.py | run | djangoplicity/djangoplicity-contacts | 0 | python | def run(self, conf, model_identifier=None, pk=None):
'\n \n '
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
group = self._get_group(conf['group'])
contact.groups.add(group)
self.get_logger().info(('Added conta... | def run(self, conf, model_identifier=None, pk=None):
'\n \n '
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
group = self._get_group(conf['group'])
contact.groups.add(group)
self.get_logger().info(('Added conta... |
609a6db3a99ac39183e5a244dc34007e041fae97e6fa75a0f67126b474de599a | def run(self, conf, model_identifier=None, pk=None):
'\n Remove from a group from a contact.\n '
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
group = self._get_group(conf['group'])
contact.groups.remove(group)
... | Remove from a group from a contact. | djangoplicity/contacts/tasks.py | run | djangoplicity/djangoplicity-contacts | 0 | python | def run(self, conf, model_identifier=None, pk=None):
'\n \n '
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
group = self._get_group(conf['group'])
contact.groups.remove(group)
self.get_logger().info(('Removed ... | def run(self, conf, model_identifier=None, pk=None):
'\n \n '
if ((model_identifier == 'contacts.contact') and pk):
contact = self._get_object(model_identifier, pk)
group = self._get_group(conf['group'])
contact.groups.remove(group)
self.get_logger().info(('Removed ... |
72f73c27a6431f38f469cbd4a780e23cefe1586b14efd6d461937b928902afc0 | def run(self, conf, email=None):
'\n Remove from a group from a contact.\n '
from djangoplicity.contacts.models import Contact
if email:
num = 0
if conf['clear']:
num = Contact.objects.filter(email__iexact=email).update(email='')
elif conf['append']:
... | Remove from a group from a contact. | djangoplicity/contacts/tasks.py | run | djangoplicity/djangoplicity-contacts | 0 | python | def run(self, conf, email=None):
'\n \n '
from djangoplicity.contacts.models import Contact
if email:
num = 0
if conf['clear']:
num = Contact.objects.filter(email__iexact=email).update(email=)
elif conf['append']:
num = Contact.objects.filter(ema... | def run(self, conf, email=None):
'\n \n '
from djangoplicity.contacts.models import Contact
if email:
num = 0
if conf['clear']:
num = Contact.objects.filter(email__iexact=email).update(email=)
elif conf['append']:
num = Contact.objects.filter(ema... |
cfd541e474bd9e04ea6d9ba135238bf8f08349d96cd6aff7a7826ffd36c64a18 | def test_abstract_rule_repr_method():
'\n Проверяем, что у экземпляров отнаследованного класса корректно работает строковая репрезентация содержимого.\n '
class KekRule(AbstractRule):
def prove_source(self):
return False
assert (str(KekRule('kek', None)) == 'KekRule("kek")') | Проверяем, что у экземпляров отнаследованного класса корректно работает строковая репрезентация содержимого. | polog/tests/handlers/file/rotation/rules/rules/test_abstract_rule.py | test_abstract_rule_repr_method | pomponchik/polog | 30 | python | def test_abstract_rule_repr_method():
'\n \n '
class KekRule(AbstractRule):
def prove_source(self):
return False
assert (str(KekRule('kek', None)) == 'KekRule("kek")') | def test_abstract_rule_repr_method():
'\n \n '
class KekRule(AbstractRule):
def prove_source(self):
return False
assert (str(KekRule('kek', None)) == 'KekRule("kek")')<|docstring|>Проверяем, что у экземпляров отнаследованного класса корректно работает строковая репрезентация соде... |
15f7161eddc91e9cd6e958a9c331f6912584b1a3ea04b68a359f3e7a9fa1a36d | def test_docs():
'Just tests for a 200 code'
response = client.get('/')
assert (response.status_code == 200) | Just tests for a 200 code | app/tests/test_main.py | test_docs | optimal-airbnb/ds | 0 | python | def test_docs():
response = client.get('/')
assert (response.status_code == 200) | def test_docs():
response = client.get('/')
assert (response.status_code == 200)<|docstring|>Just tests for a 200 code<|endoftext|> |
76332bd01e1ea70d07b099dea3254e9149cc208eab48dc3757ab1dc8f2e55b41 | def symbols(names, **args):
"\n Transform strings into instances of :class:`Symbol` class.\n\n :func:`symbols` function returns a sequence of symbols with names taken\n from ``names`` argument, which can be a comma or whitespace delimited\n string, or a sequence of strings::\n\n >>> from sympy im... | Transform strings into instances of :class:`Symbol` class.
:func:`symbols` function returns a sequence of symbols with names taken
from ``names`` argument, which can be a comma or whitespace delimited
string, or a sequence of strings::
>>> from sympy import symbols, Function
>>> x, y, z = symbols('x,y,z')
... | sympy/core/symbol.py | symbols | cielavenir/sympy | 2 | python | def symbols(names, **args):
"\n Transform strings into instances of :class:`Symbol` class.\n\n :func:`symbols` function returns a sequence of symbols with names taken\n from ``names`` argument, which can be a comma or whitespace delimited\n string, or a sequence of strings::\n\n >>> from sympy im... | def symbols(names, **args):
"\n Transform strings into instances of :class:`Symbol` class.\n\n :func:`symbols` function returns a sequence of symbols with names taken\n from ``names`` argument, which can be a comma or whitespace delimited\n string, or a sequence of strings::\n\n >>> from sympy im... |
b80c81b3237bbf11317940f189921dd34f6b9fc0e98de3b5a313cf2e32d026fd | def var(names, **args):
"\n Create symbols and inject them into the global namespace.\n\n This calls :func:`symbols` with the same arguments and puts the results\n into the *global* namespace. It's recommended not to use :func:`var` in\n library code, where :func:`symbols` has to be used::\n\n >>... | Create symbols and inject them into the global namespace.
This calls :func:`symbols` with the same arguments and puts the results
into the *global* namespace. It's recommended not to use :func:`var` in
library code, where :func:`symbols` has to be used::
>>> from sympy import var
>>> var('x')
x
>>> x... | sympy/core/symbol.py | var | cielavenir/sympy | 2 | python | def var(names, **args):
"\n Create symbols and inject them into the global namespace.\n\n This calls :func:`symbols` with the same arguments and puts the results\n into the *global* namespace. It's recommended not to use :func:`var` in\n library code, where :func:`symbols` has to be used::\n\n >>... | def var(names, **args):
"\n Create symbols and inject them into the global namespace.\n\n This calls :func:`symbols` with the same arguments and puts the results\n into the *global* namespace. It's recommended not to use :func:`var` in\n library code, where :func:`symbols` has to be used::\n\n >>... |
7de1d5f3e52d1520561b62828d16e23508dc1e9a251a23439a6a1cb06b3084ff | def __new__(cls, name, commutative=True, **assumptions):
'Symbols are identified by name and assumptions::\n\n >>> from sympy import Symbol\n >>> Symbol("x") == Symbol("x")\n True\n >>> Symbol("x", real=True) == Symbol("x", real=False)\n False\n\n '
if ('dummy' in assum... | Symbols are identified by name and assumptions::
>>> from sympy import Symbol
>>> Symbol("x") == Symbol("x")
True
>>> Symbol("x", real=True) == Symbol("x", real=False)
False | sympy/core/symbol.py | __new__ | cielavenir/sympy | 2 | python | def __new__(cls, name, commutative=True, **assumptions):
'Symbols are identified by name and assumptions::\n\n >>> from sympy import Symbol\n >>> Symbol("x") == Symbol("x")\n True\n >>> Symbol("x", real=True) == Symbol("x", real=False)\n False\n\n '
if ('dummy' in assum... | def __new__(cls, name, commutative=True, **assumptions):
'Symbols are identified by name and assumptions::\n\n >>> from sympy import Symbol\n >>> Symbol("x") == Symbol("x")\n True\n >>> Symbol("x", real=True) == Symbol("x", real=False)\n False\n\n '
if ('dummy' in assum... |
49d0d48acc73644d011e41b89d71f9d808d38d1fe29027577c6a2c9631f033fa | def traverse(symbols, frame):
'Recursively inject symbols to the global namespace. '
for symbol in symbols:
if isinstance(symbol, Basic):
frame.f_globals[symbol.name] = symbol
elif isinstance(symbol, FunctionClass):
frame.f_globals[symbol.__name__] = symbol
else:
... | Recursively inject symbols to the global namespace. | sympy/core/symbol.py | traverse | cielavenir/sympy | 2 | python | def traverse(symbols, frame):
' '
for symbol in symbols:
if isinstance(symbol, Basic):
frame.f_globals[symbol.name] = symbol
elif isinstance(symbol, FunctionClass):
frame.f_globals[symbol.__name__] = symbol
else:
traverse(symbol, frame) | def traverse(symbols, frame):
' '
for symbol in symbols:
if isinstance(symbol, Basic):
frame.f_globals[symbol.name] = symbol
elif isinstance(symbol, FunctionClass):
frame.f_globals[symbol.__name__] = symbol
else:
traverse(symbol, frame)<|docstring|>Rec... |
14202e4023f315a761fd2aee152809280502ab6f04e742b0b4e21d16a9e9ec16 | def build_embedding_matrix(embedding_model: gensim.models.keyedvectors.KeyedVectors, embedding_dim, vocab) -> np.ndarray:
'\n Builds the embedding matrix.\n\n Parameters\n ----------\n embedding_model : gensim.models.keyedvectors.KeyedVectors\n Embedding model.\n embedding_dim : int\n E... | Builds the embedding matrix.
Parameters
----------
embedding_model : gensim.models.keyedvectors.KeyedVectors
Embedding model.
embedding_dim : int
Embedding dimension.
vocab : dict
Vocabulary.
Returns
-------
embedding_matrix : numpy.ndarray
Embedding matrix. | rate_severity_of_toxic_comments/embedding.py | build_embedding_matrix | ilSommo/rate-severity-of-toxic-comments | 1 | python | def build_embedding_matrix(embedding_model: gensim.models.keyedvectors.KeyedVectors, embedding_dim, vocab) -> np.ndarray:
'\n Builds the embedding matrix.\n\n Parameters\n ----------\n embedding_model : gensim.models.keyedvectors.KeyedVectors\n Embedding model.\n embedding_dim : int\n E... | def build_embedding_matrix(embedding_model: gensim.models.keyedvectors.KeyedVectors, embedding_dim, vocab) -> np.ndarray:
'\n Builds the embedding matrix.\n\n Parameters\n ----------\n embedding_model : gensim.models.keyedvectors.KeyedVectors\n Embedding model.\n embedding_dim : int\n E... |
3038c68036aec8c261220c73594c05867074e5dc1beaf211a40b6d75bc4863ea | def check_OOV_terms(embedding_model: gensim.models.keyedvectors.KeyedVectors, vocab):
'\n Highlights out-of-vocabulary terms.\n\n Parameters\n ----------\n embedding_model : gensim.models.keyedvectors.KeyedVectors\n Embedding model.\n vocab : dict\n Vocabulary.\n\n Returns\n -----... | Highlights out-of-vocabulary terms.
Parameters
----------
embedding_model : gensim.models.keyedvectors.KeyedVectors
Embedding model.
vocab : dict
Vocabulary.
Returns
-------
oov : list
List of out-of-vocabulary terms. | rate_severity_of_toxic_comments/embedding.py | check_OOV_terms | ilSommo/rate-severity-of-toxic-comments | 1 | python | def check_OOV_terms(embedding_model: gensim.models.keyedvectors.KeyedVectors, vocab):
'\n Highlights out-of-vocabulary terms.\n\n Parameters\n ----------\n embedding_model : gensim.models.keyedvectors.KeyedVectors\n Embedding model.\n vocab : dict\n Vocabulary.\n\n Returns\n -----... | def check_OOV_terms(embedding_model: gensim.models.keyedvectors.KeyedVectors, vocab):
'\n Highlights out-of-vocabulary terms.\n\n Parameters\n ----------\n embedding_model : gensim.models.keyedvectors.KeyedVectors\n Embedding model.\n vocab : dict\n Vocabulary.\n\n Returns\n -----... |
64f064beaa7e84ec485e6bb076791d62fceddb28717a79d7a822240bf47b8e9b | def count_OOV_frequency(df, cols, oov):
'\n Counts out-of-vocabulary frequency.\n\n Parameters\n ----------\n df : pandas.core.frame.DataFrame\n Dataset.\n cols : list\n List of column names.\n oov : list\n List of out-of-vocabulary terms.\n\n '
counts = {word: df[col].... | Counts out-of-vocabulary frequency.
Parameters
----------
df : pandas.core.frame.DataFrame
Dataset.
cols : list
List of column names.
oov : list
List of out-of-vocabulary terms. | rate_severity_of_toxic_comments/embedding.py | count_OOV_frequency | ilSommo/rate-severity-of-toxic-comments | 1 | python | def count_OOV_frequency(df, cols, oov):
'\n Counts out-of-vocabulary frequency.\n\n Parameters\n ----------\n df : pandas.core.frame.DataFrame\n Dataset.\n cols : list\n List of column names.\n oov : list\n List of out-of-vocabulary terms.\n\n '
counts = {word: df[col].... | def count_OOV_frequency(df, cols, oov):
'\n Counts out-of-vocabulary frequency.\n\n Parameters\n ----------\n df : pandas.core.frame.DataFrame\n Dataset.\n cols : list\n List of column names.\n oov : list\n List of out-of-vocabulary terms.\n\n '
counts = {word: df[col].... |
6f8c2cce749f0df7298dc10abd698c1fe945aa909b75b9d7420aecf2851722b3 | def load_embedding_model(model_params) -> gensim.models.keyedvectors.KeyedVectors:
'\n Loads a pre-trained word embedding model.\n\n Parameters\n ----------\n model_params : dict\n Model parameters.\n\n Returns\n -------\n emb_model : gensim.models.keyedvectors.KeyedVectors\n Embe... | Loads a pre-trained word embedding model.
Parameters
----------
model_params : dict
Model parameters.
Returns
-------
emb_model : gensim.models.keyedvectors.KeyedVectors
Embedding model. | rate_severity_of_toxic_comments/embedding.py | load_embedding_model | ilSommo/rate-severity-of-toxic-comments | 1 | python | def load_embedding_model(model_params) -> gensim.models.keyedvectors.KeyedVectors:
'\n Loads a pre-trained word embedding model.\n\n Parameters\n ----------\n model_params : dict\n Model parameters.\n\n Returns\n -------\n emb_model : gensim.models.keyedvectors.KeyedVectors\n Embe... | def load_embedding_model(model_params) -> gensim.models.keyedvectors.KeyedVectors:
'\n Loads a pre-trained word embedding model.\n\n Parameters\n ----------\n model_params : dict\n Model parameters.\n\n Returns\n -------\n emb_model : gensim.models.keyedvectors.KeyedVectors\n Embe... |
df4dc727f47cc634999ea03c4ba286606cba9378970816fc457769c3c255ed04 | def t2v_metrics(sims, query_masks=None):
'Compute retrieval metrics from a similarity matrix.\n\n Args:\n sims (th.Tensor): N x M matrix of similarities between embeddings, where\n x_{i,j} = <text_embd[i], vid_embed[j]>\n query_masks (th.Tensor): mask any missing queries from the datase... | Compute retrieval metrics from a similarity matrix.
Args:
sims (th.Tensor): N x M matrix of similarities between embeddings, where
x_{i,j} = <text_embd[i], vid_embed[j]>
query_masks (th.Tensor): mask any missing queries from the dataset (two videos
in MSRVTT only have 19, rather than 20 capti... | src/metrics.py | t2v_metrics | oxai/debias-vision-lang | 5 | python | def t2v_metrics(sims, query_masks=None):
'Compute retrieval metrics from a similarity matrix.\n\n Args:\n sims (th.Tensor): N x M matrix of similarities between embeddings, where\n x_{i,j} = <text_embd[i], vid_embed[j]>\n query_masks (th.Tensor): mask any missing queries from the datase... | def t2v_metrics(sims, query_masks=None):
'Compute retrieval metrics from a similarity matrix.\n\n Args:\n sims (th.Tensor): N x M matrix of similarities between embeddings, where\n x_{i,j} = <text_embd[i], vid_embed[j]>\n query_masks (th.Tensor): mask any missing queries from the datase... |
f4fb07257af3296320e25c23a3e66986622c06bfba5bf5759115b0b3e470800a | def v2t_metrics(sims, query_masks=None):
'Compute retrieval metrics from a similarity matrix.\n\n Args:\n sims (th.Tensor): N x M matrix of similarities between embeddings, where\n x_{i,j} = <text_embd[i], vid_embed[j]>\n query_masks (th.Tensor): mask any missing captions from the datas... | Compute retrieval metrics from a similarity matrix.
Args:
sims (th.Tensor): N x M matrix of similarities between embeddings, where
x_{i,j} = <text_embd[i], vid_embed[j]>
query_masks (th.Tensor): mask any missing captions from the dataset
Returns:
(dict[str:float]): retrieval metrics
NOTES: We fi... | src/metrics.py | v2t_metrics | oxai/debias-vision-lang | 5 | python | def v2t_metrics(sims, query_masks=None):
'Compute retrieval metrics from a similarity matrix.\n\n Args:\n sims (th.Tensor): N x M matrix of similarities between embeddings, where\n x_{i,j} = <text_embd[i], vid_embed[j]>\n query_masks (th.Tensor): mask any missing captions from the datas... | def v2t_metrics(sims, query_masks=None):
'Compute retrieval metrics from a similarity matrix.\n\n Args:\n sims (th.Tensor): N x M matrix of similarities between embeddings, where\n x_{i,j} = <text_embd[i], vid_embed[j]>\n query_masks (th.Tensor): mask any missing captions from the datas... |
84293afc212a706b9c7a2e355bb22622a53740121051ef3745cd122bee73fb37 | def main():
'\n TODO: parse args here\n :return:\n '
parser = argparse.ArgumentParser(description='Grice')
parser.add_argument('--config', help='The path to the config file', default='./config.ini')
args = parser.parse_args()
app = App(args.config)
app.serve() | TODO: parse args here
:return: | main.py | main | cache-rules/coles | 0 | python | def main():
'\n TODO: parse args here\n :return:\n '
parser = argparse.ArgumentParser(description='Grice')
parser.add_argument('--config', help='The path to the config file', default='./config.ini')
args = parser.parse_args()
app = App(args.config)
app.serve() | def main():
'\n TODO: parse args here\n :return:\n '
parser = argparse.ArgumentParser(description='Grice')
parser.add_argument('--config', help='The path to the config file', default='./config.ini')
args = parser.parse_args()
app = App(args.config)
app.serve()<|docstring|>TODO: parse ar... |
d5beccb9b7d3f6d31089f1d5749f2abb25694cb4185c758ee7723d2698608370 | def newton(x_old):
'This function computes x_(n+1) = x_n - f(x_n)/[dy/dx] '
x_new = (x_old - ((math.cos(x_old) - math.pow(x_old, 3)) / (((- 1) * math.sin(x_old)) - (3 * math.pow(x_old, 2)))))
return x_new | This function computes x_(n+1) = x_n - f(x_n)/[dy/dx] | Projects/Newtons Method/newtonsMethod.py | newton | franc-ist/physics-projects | 1 | python | def newton(x_old):
' '
x_new = (x_old - ((math.cos(x_old) - math.pow(x_old, 3)) / (((- 1) * math.sin(x_old)) - (3 * math.pow(x_old, 2)))))
return x_new | def newton(x_old):
' '
x_new = (x_old - ((math.cos(x_old) - math.pow(x_old, 3)) / (((- 1) * math.sin(x_old)) - (3 * math.pow(x_old, 2)))))
return x_new<|docstring|>This function computes x_(n+1) = x_n - f(x_n)/[dy/dx]<|endoftext|> |
1ab5953fa76904f0cf4c9987b1e412e183364901a3976b7da452cc3571d076c0 | def create_objs(self, count, factory, **kwargs):
'Create business objects used entities factories and REST API\n (responses from web-server parsed to list of attributes (list of dicts))\n Return list of objects.\n '
objs = [factory.create() for _ in xrange(count)]
list_of_attrs = [self.get_list_of_... | Create business objects used entities factories and REST API
(responses from web-server parsed to list of attributes (list of dicts))
Return list of objects. | test/selenium/src/lib/service/rest_service.py | create_objs | trevordonnelly/ggrc-core | 1 | python | def create_objs(self, count, factory, **kwargs):
'Create business objects used entities factories and REST API\n (responses from web-server parsed to list of attributes (list of dicts))\n Return list of objects.\n '
objs = [factory.create() for _ in xrange(count)]
list_of_attrs = [self.get_list_of_... | def create_objs(self, count, factory, **kwargs):
'Create business objects used entities factories and REST API\n (responses from web-server parsed to list of attributes (list of dicts))\n Return list of objects.\n '
objs = [factory.create() for _ in xrange(count)]
list_of_attrs = [self.get_list_of_... |
0e47f6ce19ae90bd61a82324d708677f7bb5b923fdd9af86476f062790186fca | @staticmethod
def get_list_of_obj_attributes(response):
"Form the list of dicts with business object's attributes (dict's items)\n from server response.\n "
def minimize(object_element):
'Minimize response json data to request ready format.'
obj = object_element[1].values()[0]
ret... | Form the list of dicts with business object's attributes (dict's items)
from server response. | test/selenium/src/lib/service/rest_service.py | get_list_of_obj_attributes | trevordonnelly/ggrc-core | 1 | python | @staticmethod
def get_list_of_obj_attributes(response):
"Form the list of dicts with business object's attributes (dict's items)\n from server response.\n "
def minimize(object_element):
'Minimize response json data to request ready format.'
obj = object_element[1].values()[0]
ret... | @staticmethod
def get_list_of_obj_attributes(response):
"Form the list of dicts with business object's attributes (dict's items)\n from server response.\n "
def minimize(object_element):
'Minimize response json data to request ready format.'
obj = object_element[1].values()[0]
ret... |
6a2cdf3adf24ddd0582cf5d60424589723ba0fb518305dbf90df81d26023c39d | @staticmethod
def set_obj_attrs(attrs, obj, **kwargs):
"Update business object's attributes according type of object and\n list of dicts with business object's attributes (dict's items).\n "
if attrs.get('id'):
obj.id = attrs['id']
if attrs.get('href'):
obj.href = attrs['href']
if ... | Update business object's attributes according type of object and
list of dicts with business object's attributes (dict's items). | test/selenium/src/lib/service/rest_service.py | set_obj_attrs | trevordonnelly/ggrc-core | 1 | python | @staticmethod
def set_obj_attrs(attrs, obj, **kwargs):
"Update business object's attributes according type of object and\n list of dicts with business object's attributes (dict's items).\n "
if attrs.get('id'):
obj.id = attrs['id']
if attrs.get('href'):
obj.href = attrs['href']
if ... | @staticmethod
def set_obj_attrs(attrs, obj, **kwargs):
"Update business object's attributes according type of object and\n list of dicts with business object's attributes (dict's items).\n "
if attrs.get('id'):
obj.id = attrs['id']
if attrs.get('href'):
obj.href = attrs['href']
if ... |
2b09d20c86fcfe2319ce06654f491d5da99eb9a164bb84421de7ec316532b6ab | def minimize(object_element):
'Minimize response json data to request ready format.'
obj = object_element[1].values()[0]
return {'id': obj['id'], 'href': obj['selfLink'], 'type': obj['type'], 'title': obj['title'], 'url': (environment.APP_URL + obj['viewLink'][1:]), 'name': re.search('\\/([a-z_]*)\\/', obj[... | Minimize response json data to request ready format. | test/selenium/src/lib/service/rest_service.py | minimize | trevordonnelly/ggrc-core | 1 | python | def minimize(object_element):
obj = object_element[1].values()[0]
return {'id': obj['id'], 'href': obj['selfLink'], 'type': obj['type'], 'title': obj['title'], 'url': (environment.APP_URL + obj['viewLink'][1:]), 'name': re.search('\\/([a-z_]*)\\/', obj['viewLink']).group(1)} | def minimize(object_element):
obj = object_element[1].values()[0]
return {'id': obj['id'], 'href': obj['selfLink'], 'type': obj['type'], 'title': obj['title'], 'url': (environment.APP_URL + obj['viewLink'][1:]), 'name': re.search('\\/([a-z_]*)\\/', obj['viewLink']).group(1)}<|docstring|>Minimize response j... |
2e501339ea617310e040e5f202dfb2ad3abd3062e46e043658b9ab72708cf511 | def create_replica_wrapper(name: str, serialized_deployment_def: bytes):
'Creates a replica class wrapping the provided function or class.\n\n This approach is picked over inheritance to avoid conflict between user\n provided class and the RayServeReplica class.\n '
serialized_deployment_def = serializ... | Creates a replica class wrapping the provided function or class.
This approach is picked over inheritance to avoid conflict between user
provided class and the RayServeReplica class. | python/ray/serve/replica.py | create_replica_wrapper | mopga/ray | 33 | python | def create_replica_wrapper(name: str, serialized_deployment_def: bytes):
'Creates a replica class wrapping the provided function or class.\n\n This approach is picked over inheritance to avoid conflict between user\n provided class and the RayServeReplica class.\n '
serialized_deployment_def = serializ... | def create_replica_wrapper(name: str, serialized_deployment_def: bytes):
'Creates a replica class wrapping the provided function or class.\n\n This approach is picked over inheritance to avoid conflict between user\n provided class and the RayServeReplica class.\n '
serialized_deployment_def = serializ... |
c1e66ec6796162c0316ca0b91e975042e0701274255bb7697fe81ef8731b2587 | def wrap_to_ray_error(function_name: str, exception: Exception) -> RayTaskError:
'Utility method to wrap exceptions in user code.'
try:
raise exception
except Exception as e:
traceback_str = ray._private.utils.format_error_message(traceback.format_exc())
return ray.exceptions.RayTask... | Utility method to wrap exceptions in user code. | python/ray/serve/replica.py | wrap_to_ray_error | mopga/ray | 33 | python | def wrap_to_ray_error(function_name: str, exception: Exception) -> RayTaskError:
try:
raise exception
except Exception as e:
traceback_str = ray._private.utils.format_error_message(traceback.format_exc())
return ray.exceptions.RayTaskError(function_name, traceback_str, e) | def wrap_to_ray_error(function_name: str, exception: Exception) -> RayTaskError:
try:
raise exception
except Exception as e:
traceback_str = ray._private.utils.format_error_message(traceback.format_exc())
return ray.exceptions.RayTaskError(function_name, traceback_str, e)<|docstring... |
eb47877a8cfa263a8cafbd5152e9d53f85de0c09e408868cf9995289061f36a1 | async def prepare_for_shutdown(self):
'Perform graceful shutdown.\n\n Trigger a graceful shutdown protocol that will wait for all the queued\n tasks to be completed and return to the controller.\n '
while True:
(await asyncio.sleep(self._shutdown_wait_loop_s))
method_stat = ... | Perform graceful shutdown.
Trigger a graceful shutdown protocol that will wait for all the queued
tasks to be completed and return to the controller. | python/ray/serve/replica.py | prepare_for_shutdown | mopga/ray | 33 | python | async def prepare_for_shutdown(self):
'Perform graceful shutdown.\n\n Trigger a graceful shutdown protocol that will wait for all the queued\n tasks to be completed and return to the controller.\n '
while True:
(await asyncio.sleep(self._shutdown_wait_loop_s))
method_stat = ... | async def prepare_for_shutdown(self):
'Perform graceful shutdown.\n\n Trigger a graceful shutdown protocol that will wait for all the queued\n tasks to be completed and return to the controller.\n '
while True:
(await asyncio.sleep(self._shutdown_wait_loop_s))
method_stat = ... |
08fd00d948147a4740744ad705753bdc90cf39a7410e2fff62f9fdb8190b221a | async def is_allocated(self):
"poke the replica to check whether it's alive.\n\n When calling this method on an ActorHandle, it will complete as\n soon as the actor has started running. We use this mechanism to\n detect when a replica has been allocated a worker slot.\n A... | poke the replica to check whether it's alive.
When calling this method on an ActorHandle, it will complete as
soon as the actor has started running. We use this mechanism to
detect when a replica has been allocated a worker slot.
At this time, the replica can transition from PENDING_ALLOCATION
to PENDING_INITIALIZATIO... | python/ray/serve/replica.py | is_allocated | mopga/ray | 33 | python | async def is_allocated(self):
"poke the replica to check whether it's alive.\n\n When calling this method on an ActorHandle, it will complete as\n soon as the actor has started running. We use this mechanism to\n detect when a replica has been allocated a worker slot.\n A... | async def is_allocated(self):
"poke the replica to check whether it's alive.\n\n When calling this method on an ActorHandle, it will complete as\n soon as the actor has started running. We use this mechanism to\n detect when a replica has been allocated a worker slot.\n A... |
0634b5787ca9eb2964153199776dd2166867e23c9812ec53b58ed4ec98d74d7b | def samples_selection_from_request(request, db, from_ped=True):
"Parse a GET request to make the samples groups and return a SamplesSelection.\n :param from_ped: read groups info based on 'phenotype' attribute in the Samples table.\n "
groups = {}
sample_requests = request.GET.getlist('samples', [])
... | Parse a GET request to make the samples groups and return a SamplesSelection.
:param from_ped: read groups info based on 'phenotype' attribute in the Samples table. | varappx/samples/samples_service.py | samples_selection_from_request | 444thLiao/VarappX-flask | 1 | python | def samples_selection_from_request(request, db, from_ped=True):
"Parse a GET request to make the samples groups and return a SamplesSelection.\n :param from_ped: read groups info based on 'phenotype' attribute in the Samples table.\n "
groups = {}
sample_requests = request.GET.getlist('samples', [])
... | def samples_selection_from_request(request, db, from_ped=True):
"Parse a GET request to make the samples groups and return a SamplesSelection.\n :param from_ped: read groups info based on 'phenotype' attribute in the Samples table.\n "
groups = {}
sample_requests = request.GET.getlist('samples', [])
... |
61fe94f2e703ff8bda98fd8318fc5e401a55d8f1bd24c890f16ac59aad11b65b | def __init__(self, params):
'\n OpenPose Constructor: Prepares OpenPose object\n\n Parameters\n ----------\n params : dict of required parameters. refer to openpose example for more details\n\n Returns\n -------\n outs: OpenPose object\n '
self.op = self._... | OpenPose Constructor: Prepares OpenPose object
Parameters
----------
params : dict of required parameters. refer to openpose example for more details
Returns
-------
outs: OpenPose object | python/openpose/openpose.py | __init__ | Danivilanova/openpose | 43 | python | def __init__(self, params):
'\n OpenPose Constructor: Prepares OpenPose object\n\n Parameters\n ----------\n params : dict of required parameters. refer to openpose example for more details\n\n Returns\n -------\n outs: OpenPose object\n '
self.op = self._... | def __init__(self, params):
'\n OpenPose Constructor: Prepares OpenPose object\n\n Parameters\n ----------\n params : dict of required parameters. refer to openpose example for more details\n\n Returns\n -------\n outs: OpenPose object\n '
self.op = self._... |
e0cc0be262e9f6f1fcd0e5142d25907e6aa798b2676cee464ed7d683053a22e1 | def __del__(self):
'\n OpenPose Destructor: Destroys OpenPose object\n '
self._libop.delOP(self.op) | OpenPose Destructor: Destroys OpenPose object | python/openpose/openpose.py | __del__ | Danivilanova/openpose | 43 | python | def __del__(self):
'\n \n '
self._libop.delOP(self.op) | def __del__(self):
'\n \n '
self._libop.delOP(self.op)<|docstring|>OpenPose Destructor: Destroys OpenPose object<|endoftext|> |
a09c49a2e6a9a7d6bd6ff2c1714e5c9605c6c1b26cf56a0803fea8e45fd63e5b | def forward(self, image, display=False):
'\n Forward: Takes in an image and returns the human 2D poses, along with drawn image if required\n\n Parameters\n ----------\n image : color image of type ndarray\n display : If set to true, we return both the pose and an annotated image f... | Forward: Takes in an image and returns the human 2D poses, along with drawn image if required
Parameters
----------
image : color image of type ndarray
display : If set to true, we return both the pose and an annotated image for visualization
Returns
-------
array: ndarray of human 2D poses [People * BodyPart * XYCon... | python/openpose/openpose.py | forward | Danivilanova/openpose | 43 | python | def forward(self, image, display=False):
'\n Forward: Takes in an image and returns the human 2D poses, along with drawn image if required\n\n Parameters\n ----------\n image : color image of type ndarray\n display : If set to true, we return both the pose and an annotated image f... | def forward(self, image, display=False):
'\n Forward: Takes in an image and returns the human 2D poses, along with drawn image if required\n\n Parameters\n ----------\n image : color image of type ndarray\n display : If set to true, we return both the pose and an annotated image f... |
a62f4ce301efef9f9881fccf8341cca098f8173103bf0bc934f004335f1735b7 | def poseFromHM(self, image, hm, ratios=[1]):
'\n Pose From Heatmap: Takes in an image, computed heatmaps, and require scales and computes pose\n\n Parameters\n ----------\n image : color image of type ndarray\n hm : heatmap of type ndarray with heatmaps and part affinity fields\n ... | Pose From Heatmap: Takes in an image, computed heatmaps, and require scales and computes pose
Parameters
----------
image : color image of type ndarray
hm : heatmap of type ndarray with heatmaps and part affinity fields
ratios : scaling ration if needed to fuse multiple scales
Returns
-------
array: ndarray of human ... | python/openpose/openpose.py | poseFromHM | Danivilanova/openpose | 43 | python | def poseFromHM(self, image, hm, ratios=[1]):
'\n Pose From Heatmap: Takes in an image, computed heatmaps, and require scales and computes pose\n\n Parameters\n ----------\n image : color image of type ndarray\n hm : heatmap of type ndarray with heatmaps and part affinity fields\n ... | def poseFromHM(self, image, hm, ratios=[1]):
'\n Pose From Heatmap: Takes in an image, computed heatmaps, and require scales and computes pose\n\n Parameters\n ----------\n image : color image of type ndarray\n hm : heatmap of type ndarray with heatmaps and part affinity fields\n ... |
3125240437d245ef15d7a93f2c0be5072d8c284db087ca1cdb4401fe6fc3c970 | def __init__(self, filename, timeout=LOCK_TIMEOUT, delimiter=','):
'\n Constructs ResultsAggregator.\n\n Parameters\n ----------\n filename : Path\n Results file.\n timeout : int\n Lock acquistion timeout in seconds.\n delimiter : str\n Deli... | Constructs ResultsAggregator.
Parameters
----------
filename : Path
Results file.
timeout : int
Lock acquistion timeout in seconds.
delimiter : str
Delimiter to use for CSV formatting. | jade/jobs/results_aggregator.py | __init__ | jgu2/jade | 15 | python | def __init__(self, filename, timeout=LOCK_TIMEOUT, delimiter=','):
'\n Constructs ResultsAggregator.\n\n Parameters\n ----------\n filename : Path\n Results file.\n timeout : int\n Lock acquistion timeout in seconds.\n delimiter : str\n Deli... | def __init__(self, filename, timeout=LOCK_TIMEOUT, delimiter=','):
'\n Constructs ResultsAggregator.\n\n Parameters\n ----------\n filename : Path\n Results file.\n timeout : int\n Lock acquistion timeout in seconds.\n delimiter : str\n Deli... |
8eec8b07df33d9e1d0a6cab38b87c657df04a4b7d12c4e9d9ea51be4397ae598 | @classmethod
def create(cls, output_dir, **kwargs):
'Create a new instance.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n ResultsAggregator\n\n '
agg = cls((Path(output_dir) / PROCESSED_RESULTS_FILENAME), **kwargs)
agg.create_files()
... | Create a new instance.
Parameters
----------
output_dir : str
Returns
-------
ResultsAggregator | jade/jobs/results_aggregator.py | create | jgu2/jade | 15 | python | @classmethod
def create(cls, output_dir, **kwargs):
'Create a new instance.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n ResultsAggregator\n\n '
agg = cls((Path(output_dir) / PROCESSED_RESULTS_FILENAME), **kwargs)
agg.create_files()
... | @classmethod
def create(cls, output_dir, **kwargs):
'Create a new instance.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n ResultsAggregator\n\n '
agg = cls((Path(output_dir) / PROCESSED_RESULTS_FILENAME), **kwargs)
agg.create_files()
... |
c11b94bc3df6d2d54bae224df48f7991f2ea16919a69d27c6c27ed3d7b44fba4 | @classmethod
def load(cls, output_dir, **kwargs):
'Load an instance from an output directory.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls((Path(output_dir) / PROCESSED_RESULTS_FILENAME), **kwargs) | Load an instance from an output directory.
Parameters
----------
output_dir : str
Returns
-------
ResultsAggregator | jade/jobs/results_aggregator.py | load | jgu2/jade | 15 | python | @classmethod
def load(cls, output_dir, **kwargs):
'Load an instance from an output directory.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls((Path(output_dir) / PROCESSED_RESULTS_FILENAME), **kwargs) | @classmethod
def load(cls, output_dir, **kwargs):
'Load an instance from an output directory.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls((Path(output_dir) / PROCESSED_RESULTS_FILENAME), **kwargs)<|doc... |
2c7acf7b5bf09b5b9677cba2ffa5e1037497fe407afdb493b7cc993d355b1745 | @classmethod
def load_node_results(cls, output_dir, batch_id, **kwargs):
'Load a per-node instance from an output directory.\n\n Parameters\n ----------\n output_dir : str\n batch_id : int\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls(((Path(o... | Load a per-node instance from an output directory.
Parameters
----------
output_dir : str
batch_id : int
Returns
-------
ResultsAggregator | jade/jobs/results_aggregator.py | load_node_results | jgu2/jade | 15 | python | @classmethod
def load_node_results(cls, output_dir, batch_id, **kwargs):
'Load a per-node instance from an output directory.\n\n Parameters\n ----------\n output_dir : str\n batch_id : int\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls(((Path(o... | @classmethod
def load_node_results(cls, output_dir, batch_id, **kwargs):
'Load a per-node instance from an output directory.\n\n Parameters\n ----------\n output_dir : str\n batch_id : int\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls(((Path(o... |
5018da717f333225f9db3d95068fed1c9e7f54b66ed7d7429a45e1f294567415 | @classmethod
def load_node_results_file(cls, path, **kwargs):
'Load a per-node instance from an output directory.\n\n Parameters\n ----------\n path : Path\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls(path, **kwargs) | Load a per-node instance from an output directory.
Parameters
----------
path : Path
Returns
-------
ResultsAggregator | jade/jobs/results_aggregator.py | load_node_results_file | jgu2/jade | 15 | python | @classmethod
def load_node_results_file(cls, path, **kwargs):
'Load a per-node instance from an output directory.\n\n Parameters\n ----------\n path : Path\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls(path, **kwargs) | @classmethod
def load_node_results_file(cls, path, **kwargs):
'Load a per-node instance from an output directory.\n\n Parameters\n ----------\n path : Path\n\n Returns\n -------\n ResultsAggregator\n\n '
return cls(path, **kwargs)<|docstring|>Load a per-node inst... |
46fe15fac77dfb1eaf17422bd3b91ce02b06f0aad6257c2a344bd263f20433d8 | def create_files(self):
'Initialize the results file. Should only be called by the parent\n process.\n\n '
self._do_action_under_lock(self._create_files) | Initialize the results file. Should only be called by the parent
process. | jade/jobs/results_aggregator.py | create_files | jgu2/jade | 15 | python | def create_files(self):
'Initialize the results file. Should only be called by the parent\n process.\n\n '
self._do_action_under_lock(self._create_files) | def create_files(self):
'Initialize the results file. Should only be called by the parent\n process.\n\n '
self._do_action_under_lock(self._create_files)<|docstring|>Initialize the results file. Should only be called by the parent
process.<|endoftext|> |
55e3438b204d2ea6f7cd0a6940206bb8bc3807cb1941899bf28329e27668cb0a | @classmethod
def append(cls, output_dir, result, batch_id=None):
'Append a result to the file.\n\n output_dir : str\n result : Result\n batch_id : int\n\n '
if (batch_id is None):
aggregator = cls.load(output_dir)
else:
aggregator = cls.load_node_results(output_di... | Append a result to the file.
output_dir : str
result : Result
batch_id : int | jade/jobs/results_aggregator.py | append | jgu2/jade | 15 | python | @classmethod
def append(cls, output_dir, result, batch_id=None):
'Append a result to the file.\n\n output_dir : str\n result : Result\n batch_id : int\n\n '
if (batch_id is None):
aggregator = cls.load(output_dir)
else:
aggregator = cls.load_node_results(output_di... | @classmethod
def append(cls, output_dir, result, batch_id=None):
'Append a result to the file.\n\n output_dir : str\n result : Result\n batch_id : int\n\n '
if (batch_id is None):
aggregator = cls.load(output_dir)
else:
aggregator = cls.load_node_results(output_di... |
fb9abd76aef969f07d576bc812824053061f5c6d4ae1fb6aec9382328867fc8c | def append_result(self, result):
'Append a result to the file.\n\n result : Result\n\n '
start = time.time()
text = self._delimiter.join([str(getattr(result, x)) for x in self._get_fields()])
self._do_action_under_lock(self._append_result, text)
duration = (time.time() - start)
if ... | Append a result to the file.
result : Result | jade/jobs/results_aggregator.py | append_result | jgu2/jade | 15 | python | def append_result(self, result):
'Append a result to the file.\n\n result : Result\n\n '
start = time.time()
text = self._delimiter.join([str(getattr(result, x)) for x in self._get_fields()])
self._do_action_under_lock(self._append_result, text)
duration = (time.time() - start)
if ... | def append_result(self, result):
'Append a result to the file.\n\n result : Result\n\n '
start = time.time()
text = self._delimiter.join([str(getattr(result, x)) for x in self._get_fields()])
self._do_action_under_lock(self._append_result, text)
duration = (time.time() - start)
if ... |
4dc9ce01074bcdc3b8eee8c71902406eb3e5e2897d8d9d29b9a2f94fa9a15fa5 | def clear_results_for_resubmission(self, jobs_to_resubmit):
'Remove jobs that will be resubmitted from the results file.\n\n Parameters\n ----------\n jobs_to_resubmit : set\n Job names that will be resubmitted.\n\n '
results = [x for x in self.get_results() if (x.name not... | Remove jobs that will be resubmitted from the results file.
Parameters
----------
jobs_to_resubmit : set
Job names that will be resubmitted. | jade/jobs/results_aggregator.py | clear_results_for_resubmission | jgu2/jade | 15 | python | def clear_results_for_resubmission(self, jobs_to_resubmit):
'Remove jobs that will be resubmitted from the results file.\n\n Parameters\n ----------\n jobs_to_resubmit : set\n Job names that will be resubmitted.\n\n '
results = [x for x in self.get_results() if (x.name not... | def clear_results_for_resubmission(self, jobs_to_resubmit):
'Remove jobs that will be resubmitted from the results file.\n\n Parameters\n ----------\n jobs_to_resubmit : set\n Job names that will be resubmitted.\n\n '
results = [x for x in self.get_results() if (x.name not... |
a84e6db433d883725a4e8e366d8c11218a39a5242a0d06293d8dd3671cd7019a | def clear_unsuccessful_results(self):
'Remove failed and canceled results from the results file.'
results = [x for x in self.get_results() if (x.return_code == 0)]
self._write_results(results)
logger.info('Cleared failed results from %s', self._filename) | Remove failed and canceled results from the results file. | jade/jobs/results_aggregator.py | clear_unsuccessful_results | jgu2/jade | 15 | python | def clear_unsuccessful_results(self):
results = [x for x in self.get_results() if (x.return_code == 0)]
self._write_results(results)
logger.info('Cleared failed results from %s', self._filename) | def clear_unsuccessful_results(self):
results = [x for x in self.get_results() if (x.return_code == 0)]
self._write_results(results)
logger.info('Cleared failed results from %s', self._filename)<|docstring|>Remove failed and canceled results from the results file.<|endoftext|> |
a22d39bd36c417559bf5b2b2e0a3528e0b1fb880c78eedec263c811186d473b0 | def get_results(self):
'Return the current results.\n\n Returns\n -------\n list\n list of Result objects\n\n '
return self._do_action_under_lock(self._get_all_results) | Return the current results.
Returns
-------
list
list of Result objects | jade/jobs/results_aggregator.py | get_results | jgu2/jade | 15 | python | def get_results(self):
'Return the current results.\n\n Returns\n -------\n list\n list of Result objects\n\n '
return self._do_action_under_lock(self._get_all_results) | def get_results(self):
'Return the current results.\n\n Returns\n -------\n list\n list of Result objects\n\n '
return self._do_action_under_lock(self._get_all_results)<|docstring|>Return the current results.
Returns
-------
list
list of Result objects<|endoftext|> |
cfaa0769769888215740106966cd2166353ed9f0e67e10a42e46bf146a2878b3 | def get_results_unsafe(self):
'Return the results. It is up to the caller to ensure that\n a lock is not needed.\n\n Returns\n -------\n list\n list of Result objects\n\n '
return self._get_results() | Return the results. It is up to the caller to ensure that
a lock is not needed.
Returns
-------
list
list of Result objects | jade/jobs/results_aggregator.py | get_results_unsafe | jgu2/jade | 15 | python | def get_results_unsafe(self):
'Return the results. It is up to the caller to ensure that\n a lock is not needed.\n\n Returns\n -------\n list\n list of Result objects\n\n '
return self._get_results() | def get_results_unsafe(self):
'Return the results. It is up to the caller to ensure that\n a lock is not needed.\n\n Returns\n -------\n list\n list of Result objects\n\n '
return self._get_results()<|docstring|>Return the results. It is up to the caller to ensure t... |
9bbb40be06ea9ad59fe23f4f345d6d9b1a64b14acde5de93bc952f56094aba88 | def move_results(self, func):
'Move the results to a new location and delete the file.\n\n Parameters\n ----------\n func : function\n\n Returns\n -------\n list\n list of Result\n\n '
return self._do_action_under_lock(self._move_results, func) | Move the results to a new location and delete the file.
Parameters
----------
func : function
Returns
-------
list
list of Result | jade/jobs/results_aggregator.py | move_results | jgu2/jade | 15 | python | def move_results(self, func):
'Move the results to a new location and delete the file.\n\n Parameters\n ----------\n func : function\n\n Returns\n -------\n list\n list of Result\n\n '
return self._do_action_under_lock(self._move_results, func) | def move_results(self, func):
'Move the results to a new location and delete the file.\n\n Parameters\n ----------\n func : function\n\n Returns\n -------\n list\n list of Result\n\n '
return self._do_action_under_lock(self._move_results, func)<|docstr... |
057d75c1b7709e54e7913fb21f9f9630bea7e8b161ea9e597fc51ce0b45a061c | @classmethod
def list_results(cls, output_dir, **kwargs):
'Return the current results.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n list\n list of Result objects\n\n '
results = cls.load(output_dir, **kwargs)
return result... | Return the current results.
Parameters
----------
output_dir : str
Returns
-------
list
list of Result objects | jade/jobs/results_aggregator.py | list_results | jgu2/jade | 15 | python | @classmethod
def list_results(cls, output_dir, **kwargs):
'Return the current results.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n list\n list of Result objects\n\n '
results = cls.load(output_dir, **kwargs)
return result... | @classmethod
def list_results(cls, output_dir, **kwargs):
'Return the current results.\n\n Parameters\n ----------\n output_dir : str\n\n Returns\n -------\n list\n list of Result objects\n\n '
results = cls.load(output_dir, **kwargs)
return result... |
f0d90ae7f77449e21541cefc0a71923002350f9d83b609fa8ac0846e78593cf1 | def process_results(self):
'Move all temp results into the consolidated file, then clear the file.\n\n Returns\n -------\n list\n list of Result objects that are newly completed\n\n '
assert (not self._is_node)
return self._do_action_under_lock(self._process_results) | Move all temp results into the consolidated file, then clear the file.
Returns
-------
list
list of Result objects that are newly completed | jade/jobs/results_aggregator.py | process_results | jgu2/jade | 15 | python | def process_results(self):
'Move all temp results into the consolidated file, then clear the file.\n\n Returns\n -------\n list\n list of Result objects that are newly completed\n\n '
assert (not self._is_node)
return self._do_action_under_lock(self._process_results) | def process_results(self):
'Move all temp results into the consolidated file, then clear the file.\n\n Returns\n -------\n list\n list of Result objects that are newly completed\n\n '
assert (not self._is_node)
return self._do_action_under_lock(self._process_results)<|... |
4fd7e18b52026360e94f78041dea66ad75d6cdf0335fc6a1e445b20e62c5ec0f | def _combine_annotations(annotations, last_samps, first_samps, sfreq):
'Helper for combining a tuple of annotations.'
if (not any(annotations)):
return None
elif (annotations[1] is None):
return annotations[0]
elif (annotations[0] is None):
old_onset = list()
old_duration... | Helper for combining a tuple of annotations. | mne/annotations.py | _combine_annotations | mvdoc/mne-python | 0 | python | def _combine_annotations(annotations, last_samps, first_samps, sfreq):
if (not any(annotations)):
return None
elif (annotations[1] is None):
return annotations[0]
elif (annotations[0] is None):
old_onset = list()
old_duration = list()
old_description = list()
... | def _combine_annotations(annotations, last_samps, first_samps, sfreq):
if (not any(annotations)):
return None
elif (annotations[1] is None):
return annotations[0]
elif (annotations[0] is None):
old_onset = list()
old_duration = list()
old_description = list()
... |
d5d6273af1f130ed4ab3943ad45809ebeae536acba4da2a407f437e0ddb5e9cd | def _onset_to_seconds(raw, onset):
'Helper function for adjusting onsets in relation to raw data.'
meas_date = raw.info['meas_date']
if (meas_date is None):
meas_date = 0
elif (not np.isscalar(meas_date)):
if (len(meas_date) > 1):
meas_date = (meas_date[0] + (meas_date[1] / 1... | Helper function for adjusting onsets in relation to raw data. | mne/annotations.py | _onset_to_seconds | mvdoc/mne-python | 0 | python | def _onset_to_seconds(raw, onset):
meas_date = raw.info['meas_date']
if (meas_date is None):
meas_date = 0
elif (not np.isscalar(meas_date)):
if (len(meas_date) > 1):
meas_date = (meas_date[0] + (meas_date[1] / 1000000.0))
else:
meas_date = meas_date[0]
... | def _onset_to_seconds(raw, onset):
meas_date = raw.info['meas_date']
if (meas_date is None):
meas_date = 0
elif (not np.isscalar(meas_date)):
if (len(meas_date) > 1):
meas_date = (meas_date[0] + (meas_date[1] / 1000000.0))
else:
meas_date = meas_date[0]
... |
4e62d04c2321947ca65ae63a5a4d345940d0d129a166e97e2b621b25f46bf099 | @unittest.skip('hangs')
def test_bad_country(self):
'See what happens if the country is likely to be unknown.\n 2017-11-05 This test just hangs, so skipping for now.\n TBD: issue'
request = service.get_request('GET', {u'taxon': u'Hylidae', u'country': u'Sovietunion'})
x = self.start_request_te... | See what happens if the country is likely to be unknown.
2017-11-05 This test just hangs, so skipping for now.
TBD: issue | tests/test_ts_country_species.py | test_bad_country | jar398/tryphy | 0 | python | @unittest.skip('hangs')
def test_bad_country(self):
'See what happens if the country is likely to be unknown.\n 2017-11-05 This test just hangs, so skipping for now.\n TBD: issue'
request = service.get_request('GET', {u'taxon': u'Hylidae', u'country': u'Sovietunion'})
x = self.start_request_te... | @unittest.skip('hangs')
def test_bad_country(self):
'See what happens if the country is likely to be unknown.\n 2017-11-05 This test just hangs, so skipping for now.\n TBD: issue'
request = service.get_request('GET', {u'taxon': u'Hylidae', u'country': u'Sovietunion'})
x = self.start_request_te... |
239df8e3f10cd2936bada078abdefcc270c51cda01ffc09637feaabf4a8b29bc | def test_example_17p(self):
"2017-11-05 This test complains about the 'taxon' parameter being \n missing. But it's not missing.\n Error: Missing parameter 'taxon'. TBD: issue"
x = self.start_request_tests(example_17p)
m = x.json()[u'message']
self.assert_success(x, m) | 2017-11-05 This test complains about the 'taxon' parameter being
missing. But it's not missing.
Error: Missing parameter 'taxon'. TBD: issue | tests/test_ts_country_species.py | test_example_17p | jar398/tryphy | 0 | python | def test_example_17p(self):
"2017-11-05 This test complains about the 'taxon' parameter being \n missing. But it's not missing.\n Error: Missing parameter 'taxon'. TBD: issue"
x = self.start_request_tests(example_17p)
m = x.json()[u'message']
self.assert_success(x, m) | def test_example_17p(self):
"2017-11-05 This test complains about the 'taxon' parameter being \n missing. But it's not missing.\n Error: Missing parameter 'taxon'. TBD: issue"
x = self.start_request_tests(example_17p)
m = x.json()[u'message']
self.assert_success(x, m)<|docstring|>2017-11... |
b7b0b7d5a6ee051a50d1b091c5673bcce4fed83c4928d980c1833b3d1c4b33f2 | def create_or_update(self, resource_group_name, local_network_gateway_name, parameters, custom_headers=None, raw=False, **operation_config):
'\n The Put LocalNetworkGateway operation creates/updates a local network\n gateway in the specified resource group through Network resource\n provider.\n... | The Put LocalNetworkGateway operation creates/updates a local network
gateway in the specified resource group through Network resource
provider.
:param resource_group_name: The name of the resource group.
:type resource_group_name: str
:param local_network_gateway_name: The name of the local network
gateway.
:type lo... | azure-mgmt-network/azure/mgmt/network/operations/local_network_gateways_operations.py | create_or_update | HydAu/AzureSDKForPython | 0 | python | def create_or_update(self, resource_group_name, local_network_gateway_name, parameters, custom_headers=None, raw=False, **operation_config):
'\n The Put LocalNetworkGateway operation creates/updates a local network\n gateway in the specified resource group through Network resource\n provider.\n... | def create_or_update(self, resource_group_name, local_network_gateway_name, parameters, custom_headers=None, raw=False, **operation_config):
'\n The Put LocalNetworkGateway operation creates/updates a local network\n gateway in the specified resource group through Network resource\n provider.\n... |
5f470a86e020320272c831a513e81ddaf0e75bc557a5fb1bb0be104b6ea373c4 | def get(self, resource_group_name, local_network_gateway_name, custom_headers=None, raw=False, **operation_config):
'\n The Get LocalNetworkGateway operation retrieves information about the\n specified local network gateway through Network resource provider.\n\n :param resource_group_name: The ... | The Get LocalNetworkGateway operation retrieves information about the
specified local network gateway through Network resource provider.
:param resource_group_name: The name of the resource group.
:type resource_group_name: str
:param local_network_gateway_name: The name of the local network
gateway.
:type local_netw... | azure-mgmt-network/azure/mgmt/network/operations/local_network_gateways_operations.py | get | HydAu/AzureSDKForPython | 0 | python | def get(self, resource_group_name, local_network_gateway_name, custom_headers=None, raw=False, **operation_config):
'\n The Get LocalNetworkGateway operation retrieves information about the\n specified local network gateway through Network resource provider.\n\n :param resource_group_name: The ... | def get(self, resource_group_name, local_network_gateway_name, custom_headers=None, raw=False, **operation_config):
'\n The Get LocalNetworkGateway operation retrieves information about the\n specified local network gateway through Network resource provider.\n\n :param resource_group_name: The ... |
f2d64cf261e9efa5e034b82bec5a3684edf2f7030ea7abedb88258ed7e9244d8 | def delete(self, resource_group_name, local_network_gateway_name, custom_headers=None, raw=False, **operation_config):
'\n The Delete LocalNetworkGateway operation deletes the specifed local\n network Gateway through Network resource provider.\n\n :param resource_group_name: The name of the res... | The Delete LocalNetworkGateway operation deletes the specifed local
network Gateway through Network resource provider.
:param resource_group_name: The name of the resource group.
:type resource_group_name: str
:param local_network_gateway_name: The name of the local network
gateway.
:type local_network_gateway_name: ... | azure-mgmt-network/azure/mgmt/network/operations/local_network_gateways_operations.py | delete | HydAu/AzureSDKForPython | 0 | python | def delete(self, resource_group_name, local_network_gateway_name, custom_headers=None, raw=False, **operation_config):
'\n The Delete LocalNetworkGateway operation deletes the specifed local\n network Gateway through Network resource provider.\n\n :param resource_group_name: The name of the res... | def delete(self, resource_group_name, local_network_gateway_name, custom_headers=None, raw=False, **operation_config):
'\n The Delete LocalNetworkGateway operation deletes the specifed local\n network Gateway through Network resource provider.\n\n :param resource_group_name: The name of the res... |
e7d9063da31e6867c1f94d8f6fea5af781d8fd64a60b5351a501dba367bd72e4 | def list(self, resource_group_name, custom_headers=None, raw=False, **operation_config):
'\n The List LocalNetworkGateways opertion retrieves all the local network\n gateways stored.\n\n :param resource_group_name: The name of the resource group.\n :type resource_group_name: str\n ... | The List LocalNetworkGateways opertion retrieves all the local network
gateways stored.
:param resource_group_name: The name of the resource group.
:type resource_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserializ... | azure-mgmt-network/azure/mgmt/network/operations/local_network_gateways_operations.py | list | HydAu/AzureSDKForPython | 0 | python | def list(self, resource_group_name, custom_headers=None, raw=False, **operation_config):
'\n The List LocalNetworkGateways opertion retrieves all the local network\n gateways stored.\n\n :param resource_group_name: The name of the resource group.\n :type resource_group_name: str\n ... | def list(self, resource_group_name, custom_headers=None, raw=False, **operation_config):
'\n The List LocalNetworkGateways opertion retrieves all the local network\n gateways stored.\n\n :param resource_group_name: The name of the resource group.\n :type resource_group_name: str\n ... |
f61de105c0b46577650658dca5303fb9415c76d58b0a51a8e243cc8a8b0adbfb | def handle(self, *args, **options):
'Publishes Deis platform state from the database to etcd.'
print('Publishing DB state to etcd...')
for app in App.objects.all():
app.save()
app.config_set.latest().save()
for model in (Key, Domain, Certificate):
for obj in model.objects.all():
... | Publishes Deis platform state from the database to etcd. | controller/api/management/commands/load_db_state_to_etcd.py | handle | deathtrix/deis | 3,375 | python | def handle(self, *args, **options):
print('Publishing DB state to etcd...')
for app in App.objects.all():
app.save()
app.config_set.latest().save()
for model in (Key, Domain, Certificate):
for obj in model.objects.all():
obj.save()
print('Done Publishing DB state... | def handle(self, *args, **options):
print('Publishing DB state to etcd...')
for app in App.objects.all():
app.save()
app.config_set.latest().save()
for model in (Key, Domain, Certificate):
for obj in model.objects.all():
obj.save()
print('Done Publishing DB state... |
8408faf780169855940b7d8f567bfd91b795c85e5cfb76cedc651de53678d65e | def get_lffd(blocks, use_preresnet, model_name=None, pretrained=False, root=os.path.join('~', '.tensorflow', 'models'), **kwargs):
"\n Create LFFD model with specific parameters.\n\n Parameters:\n ----------\n blocks : int\n Number of blocks.\n use_preresnet : bool\n Whether to use PreR... | Create LFFD model with specific parameters.
Parameters:
----------
blocks : int
Number of blocks.
use_preresnet : bool
Whether to use PreResnet backbone instead of ResNet.
model_name : str or None, default None
Model name for loading pretrained model.
pretrained : bool, default False
Whether to load th... | tensorflow2/tf2cv/models/lffd.py | get_lffd | JacobARose/imgclsmob | 2,649 | python | def get_lffd(blocks, use_preresnet, model_name=None, pretrained=False, root=os.path.join('~', '.tensorflow', 'models'), **kwargs):
"\n Create LFFD model with specific parameters.\n\n Parameters:\n ----------\n blocks : int\n Number of blocks.\n use_preresnet : bool\n Whether to use PreR... | def get_lffd(blocks, use_preresnet, model_name=None, pretrained=False, root=os.path.join('~', '.tensorflow', 'models'), **kwargs):
"\n Create LFFD model with specific parameters.\n\n Parameters:\n ----------\n blocks : int\n Number of blocks.\n use_preresnet : bool\n Whether to use PreR... |
86e6e9e9a262a300b7018cdf23e31ed06cecbfd338f103fcb857a3d79e25024e | def lffd20x5s320v2_widerface(**kwargs):
"\n LFFD-320-20L-5S-V2 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'\n https://arxiv.org/abs/1904.10633.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for mod... | LFFD-320-20L-5S-V2 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'
https://arxiv.org/abs/1904.10633.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.tensorflow/models'
Location for keeping the m... | tensorflow2/tf2cv/models/lffd.py | lffd20x5s320v2_widerface | JacobARose/imgclsmob | 2,649 | python | def lffd20x5s320v2_widerface(**kwargs):
"\n LFFD-320-20L-5S-V2 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'\n https://arxiv.org/abs/1904.10633.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for mod... | def lffd20x5s320v2_widerface(**kwargs):
"\n LFFD-320-20L-5S-V2 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'\n https://arxiv.org/abs/1904.10633.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for mod... |
6326be1f16ec33f5ae2a1f5e51792d8dab7e5712bf3ffc01925e8db8945e64e1 | def lffd25x8s560v1_widerface(**kwargs):
"\n LFFD-560-25L-8S-V1 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'\n https://arxiv.org/abs/1904.10633.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for mod... | LFFD-560-25L-8S-V1 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'
https://arxiv.org/abs/1904.10633.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.tensorflow/models'
Location for keeping the m... | tensorflow2/tf2cv/models/lffd.py | lffd25x8s560v1_widerface | JacobARose/imgclsmob | 2,649 | python | def lffd25x8s560v1_widerface(**kwargs):
"\n LFFD-560-25L-8S-V1 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'\n https://arxiv.org/abs/1904.10633.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for mod... | def lffd25x8s560v1_widerface(**kwargs):
"\n LFFD-560-25L-8S-V1 model for WIDER FACE from 'LFFD: A Light and Fast Face Detector for Edge Devices,'\n https://arxiv.org/abs/1904.10633.\n\n Parameters:\n ----------\n pretrained : bool, default False\n Whether to load the pretrained weights for mod... |
478b85c0da63c2c8d9b48d4ad30d48adc07b55e503bb06a9e8b1575127a31a5c | def densenet(bottleneck=True, growthRate=32, head7x7=True, dropRate=0, increasingRate=1, compressionRate=2, layers=(6, 12, 24, 16), num_classes=1000):
'\n Construct DenseNet.\n (2, 2, 2, 2) for densenet21 # growthRate=24\n (3, 4, 6, 3) for densenet37 # growthRate=24\n (4, 6, 8, 4) for densenet49 # growt... | Construct DenseNet.
(2, 2, 2, 2) for densenet21 # growthRate=24
(3, 4, 6, 3) for densenet37 # growthRate=24
(4, 6, 8, 4) for densenet49 # growthRate=24
(4, 8, 16, 8) for densenet77
(6, 12, 24, 16) for densenet121
(6, 12, 32, 32) for densenet169
(6, 12, 48, 32) for densenet201
(6, 12, 64, 48) for densenet264
(6, 12, 36,... | models/imagenet/densenet.py | densenet | alex18212010045/pytorch-priv | 60 | python | def densenet(bottleneck=True, growthRate=32, head7x7=True, dropRate=0, increasingRate=1, compressionRate=2, layers=(6, 12, 24, 16), num_classes=1000):
'\n Construct DenseNet.\n (2, 2, 2, 2) for densenet21 # growthRate=24\n (3, 4, 6, 3) for densenet37 # growthRate=24\n (4, 6, 8, 4) for densenet49 # growt... | def densenet(bottleneck=True, growthRate=32, head7x7=True, dropRate=0, increasingRate=1, compressionRate=2, layers=(6, 12, 24, 16), num_classes=1000):
'\n Construct DenseNet.\n (2, 2, 2, 2) for densenet21 # growthRate=24\n (3, 4, 6, 3) for densenet37 # growthRate=24\n (4, 6, 8, 4) for densenet49 # growt... |
6aa365cc0faae9475facde3d7c1167cf5166ef7c342e629c584113e0b4db9693 | def __init__(self, bottleneck=True, growthRate=32, head7x7=True, dropRate=0, increasingRate=1, compressionRate=2, layers=(6, 12, 24, 16), num_classes=1000):
' Constructor\n Args:\n layers: config of layers, e.g., (6, 12, 24, 16)\n num_classes: number of classes\n '
super(Dens... | Constructor
Args:
layers: config of layers, e.g., (6, 12, 24, 16)
num_classes: number of classes | models/imagenet/densenet.py | __init__ | alex18212010045/pytorch-priv | 60 | python | def __init__(self, bottleneck=True, growthRate=32, head7x7=True, dropRate=0, increasingRate=1, compressionRate=2, layers=(6, 12, 24, 16), num_classes=1000):
' Constructor\n Args:\n layers: config of layers, e.g., (6, 12, 24, 16)\n num_classes: number of classes\n '
super(Dens... | def __init__(self, bottleneck=True, growthRate=32, head7x7=True, dropRate=0, increasingRate=1, compressionRate=2, layers=(6, 12, 24, 16), num_classes=1000):
' Constructor\n Args:\n layers: config of layers, e.g., (6, 12, 24, 16)\n num_classes: number of classes\n '
super(Dens... |
f5c3e2a90d2838b468fb6028c346a4a33e229502e5e3c01960badcb0fc8ff88d | def _make_layer(self, block, blocks):
' Stack n bottleneck modules where n is inferred from the depth of the network.\n Args:\n block: block type used to construct DenseNet\n blocks: number of blocks to be built\n Returns: a Module consisting of n sequential bottlenecks.\n ... | Stack n bottleneck modules where n is inferred from the depth of the network.
Args:
block: block type used to construct DenseNet
blocks: number of blocks to be built
Returns: a Module consisting of n sequential bottlenecks. | models/imagenet/densenet.py | _make_layer | alex18212010045/pytorch-priv | 60 | python | def _make_layer(self, block, blocks):
' Stack n bottleneck modules where n is inferred from the depth of the network.\n Args:\n block: block type used to construct DenseNet\n blocks: number of blocks to be built\n Returns: a Module consisting of n sequential bottlenecks.\n ... | def _make_layer(self, block, blocks):
' Stack n bottleneck modules where n is inferred from the depth of the network.\n Args:\n block: block type used to construct DenseNet\n blocks: number of blocks to be built\n Returns: a Module consisting of n sequential bottlenecks.\n ... |
a53d4958ec13e19bd933539028434d70b4e93f2bd9df0ec9ac832caacd090049 | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_hosts(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-hosts" command executes successfully then context output and response should match.... | When "risksense-get-hosts" command executes successfully then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_hosts | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_hosts(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-hosts" command executes successfully then context output and response should match.... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_hosts(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-hosts" command executes successfully then context output and response should match.... |
c93249bf2c1db12d637cff613a61ed3b2fed55cdf9399e4845fdd895c823a4fd | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_host_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-detail" command executes successfully then context output a... | When "risksense-get-host-detail" command executes successfully then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_host_detail | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_host_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-detail" command executes successfully then context output a... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_host_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-detail" command executes successfully then context output a... |
11540aaf66dd78c727f030bf586c8bdb8d4857aa7b385fa9d9251cdf1c8c4bff | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_unique_cves_payload')
def test_unique_cves(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-unique-cves" command executes successfully then context output and respo... | When "risksense-get-unique-cves" command executes successfully then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_unique_cves | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_unique_cves_payload')
def test_unique_cves(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-unique-cves" command executes successfully then context output and respo... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_unique_cves_payload')
def test_unique_cves(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-unique-cves" command executes successfully then context output and respo... |
03def5fda6f0c21c42f8855a09f52938864cda3bca93827472790a14ba03a635 | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_host_finding(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-findings" command executes successfully\n then context output an... | When "risksense-get-host-findings" command executes successfully
then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_host_finding | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_host_finding(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-findings" command executes successfully\n then context output an... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_host_finding(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-findings" command executes successfully\n then context output an... |
e217d7c4d68bf439f65be05c07fa4c6436df7fef53c4330b4f39181bafc39de4 | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_unique_open_findings(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-unique-open-findings" command executes successfully\n then co... | When "risksense-get-unique-open-findings" command executes successfully
then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_unique_open_findings | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_unique_open_findings(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-unique-open-findings" command executes successfully\n then co... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_unique_open_findings(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-unique-open-findings" command executes successfully\n then co... |
b9986597415bd0c7d935ea36a99b2831106ce6d0c749ca24364d9bc0af720699 | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_apps(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-apps" command executes successfully\n then context output and response should... | When "risksense-get-apps" command executes successfully
then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_apps | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_apps(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-apps" command executes successfully\n then context output and response should... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_filter_payload')
def test_apps(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-apps" command executes successfully\n then context output and response should... |
167858d34666acc9b62988a7952fd63ab6c8ba1a7d6c348204494ef213784714 | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_host_finding_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-finding-detail" command executes successfully\n ... | When "risksense-get-host-finding-detail" command executes successfully
then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_host_finding_detail | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_host_finding_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-finding-detail" command executes successfully\n ... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_host_finding_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-host-finding-detail" command executes successfully\n ... |
5442447a1d3be1f3535dc7c60bb5384c8ef60052e867546df51a3028bcf05577 | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_app_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-app-detail" command executes successfully\n then context o... | When "risksense-get-app-detail" command executes successfully
then context output and response should match.
:param mocker_request: mocker object of request.
:param mocker_res: mocker object of response.
:param mocker_client_id: mocker object of client id.
:return: None | Integrations/RiskSense/RiskSense_test.py | test_app_detail | aescalona-doitt/content | 1 | python | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_app_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-app-detail" command executes successfully\n then context o... | @patch('RiskSense.get_client_detail_from_context')
@patch('RiskSense.Client.http_request')
@patch('RiskSense.prepare_payload_for_detail_commands')
def test_app_detail(self, mocker_request, mocker_res, mocker_client_id):
'\n When "risksense-get-app-detail" command executes successfully\n then context o... |
f6286a66626743cf6196f5fb5fa61e1a133ba663d1bdab88642c51046e132ada | def avg_Q(q_S, q_D):
'\n Return total transmission capacity of station, assuming transmission evenly distributed over hexagonal cell\n \n Parameters\n ----------\n q_S : float\n channel capacity in Mbps\n q_D : float\n data demand rate in Mbps\n \n\n ... | Return total transmission capacity of station, assuming transmission evenly distributed over hexagonal cell
Parameters
----------
q_S : float
channel capacity in Mbps
q_D : float
data demand rate in Mbps
Returns
-------
q : float
average demand speed, in Mbps, based on Sha... | code/counterfactuals/transmissionequilibrium.py | avg_Q | jonathantelliott/mobile-telecommunications | 2 | python | def avg_Q(q_S, q_D):
'\n Return total transmission capacity of station, assuming transmission evenly distributed over hexagonal cell\n \n Parameters\n ----------\n q_S : float\n channel capacity in Mbps\n q_D : float\n data demand rate in Mbps\n \n\n ... | def avg_Q(q_S, q_D):
'\n Return total transmission capacity of station, assuming transmission evenly distributed over hexagonal cell\n \n Parameters\n ----------\n q_S : float\n channel capacity in Mbps\n q_D : float\n data demand rate in Mbps\n \n\n ... |
fa26520b9dcb0737ac118bfe80bdef94394ef5e97bd5255f03581aaf9d21cffd | def data_demand(ds, xis, theta, Q, pop):
'\n Return the data demanded in a month\n \n Parameters\n ----------\n ds : DemandSystem\n contains all the data about our markets\n xis : ndarray \n (M,J) matrix of vertical demand components\n theta : ndarray\n ... | Return the data demanded in a month
Parameters
----------
ds : DemandSystem
contains all the data about our markets
xis : ndarray
(M,J) matrix of vertical demand components
theta : ndarray
(K,) array of demand parameters
Q : ndarray
(M,F) array of market-firm-specific d... | code/counterfactuals/transmissionequilibrium.py | data_demand | jonathantelliott/mobile-telecommunications | 2 | python | def data_demand(ds, xis, theta, Q, pop):
'\n Return the data demanded in a month\n \n Parameters\n ----------\n ds : DemandSystem\n contains all the data about our markets\n xis : ndarray \n (M,J) matrix of vertical demand components\n theta : ndarray\n ... | def data_demand(ds, xis, theta, Q, pop):
'\n Return the data demanded in a month\n \n Parameters\n ----------\n ds : DemandSystem\n contains all the data about our markets\n xis : ndarray \n (M,J) matrix of vertical demand components\n theta : ndarray\n ... |
e39b3748c7c7f2a64d528a4c848fe48742e2c50acbdf58c0b81e46ce08658389 | def data_demand_rate(ds, xis, theta, Q, num_stations, pop):
'\n Return the data demand rate\n \n Parameters\n ----------\n ds : DemandSystem\n contains all the data about our markets\n xis : ndarray \n (M,J) matrix of vertical demand components\n theta : nd... | Return the data demand rate
Parameters
----------
ds : DemandSystem
contains all the data about our markets
xis : ndarray
(M,J) matrix of vertical demand components
theta : ndarray
(K,) array of demand parameters
Q : ndarray
(M,F) array of market-firm-specific download ... | code/counterfactuals/transmissionequilibrium.py | data_demand_rate | jonathantelliott/mobile-telecommunications | 2 | python | def data_demand_rate(ds, xis, theta, Q, num_stations, pop):
'\n Return the data demand rate\n \n Parameters\n ----------\n ds : DemandSystem\n contains all the data about our markets\n xis : ndarray \n (M,J) matrix of vertical demand components\n theta : nd... | def data_demand_rate(ds, xis, theta, Q, num_stations, pop):
'\n Return the data demand rate\n \n Parameters\n ----------\n ds : DemandSystem\n contains all the data about our markets\n xis : ndarray \n (M,J) matrix of vertical demand components\n theta : nd... |
b2cd2a36b837252356bf27d99a3612a4ee4ff810b99bc7bab57bed3e7039e7b8 | def q_MVNO(qs, firms_share):
'\n Return the MVNO quality as a function of other firms qualities\n \n Parameters\n ----------\n qs : ndarray\n (M,F-1) array of market-firm-specific download speeds in Gbps\n firms_share : ndarray\n (F-1,) array of whether firms shar... | Return the MVNO quality as a function of other firms qualities
Parameters
----------
qs : ndarray
(M,F-1) array of market-firm-specific download speeds in Gbps
firms_share : ndarray
(F-1,) array of whether firms share qualities with MVNOs
Returns
-------
qs_MVNO : ndarray
(M,) arra... | code/counterfactuals/transmissionequilibrium.py | q_MVNO | jonathantelliott/mobile-telecommunications | 2 | python | def q_MVNO(qs, firms_share):
'\n Return the MVNO quality as a function of other firms qualities\n \n Parameters\n ----------\n qs : ndarray\n (M,F-1) array of market-firm-specific download speeds in Gbps\n firms_share : ndarray\n (F-1,) array of whether firms shar... | def q_MVNO(qs, firms_share):
'\n Return the MVNO quality as a function of other firms qualities\n \n Parameters\n ----------\n qs : ndarray\n (M,F-1) array of market-firm-specific download speeds in Gbps\n firms_share : ndarray\n (F-1,) array of whether firms shar... |
be76a7f06c8fc83c9cf736cc93675b24e59bcd2e2e7fb74fa74277ac15c13c6f | def q_res(q, cc, ds, xis, theta, num_stations, pop, impute_MVNO={'impute': False}):
"\n Return the residual relative to predicted quality\n \n Parameters\n ----------\n q : ndarray\n (M,F-1) array of market-firm-specific download speeds in Mbps\n cc : ndarray\n (M... | Return the residual relative to predicted quality
Parameters
----------
q : ndarray
(M,F-1) array of market-firm-specific download speeds in Mbps
cc : ndarray
(M,F-1) array of channel capacity in Mbps
ds : DemandSystem
contains all the data about our markets
xis : ndarray
... | code/counterfactuals/transmissionequilibrium.py | q_res | jonathantelliott/mobile-telecommunications | 2 | python | def q_res(q, cc, ds, xis, theta, num_stations, pop, impute_MVNO={'impute': False}):
"\n Return the residual relative to predicted quality\n \n Parameters\n ----------\n q : ndarray\n (M,F-1) array of market-firm-specific download speeds in Mbps\n cc : ndarray\n (M... | def q_res(q, cc, ds, xis, theta, num_stations, pop, impute_MVNO={'impute': False}):
"\n Return the residual relative to predicted quality\n \n Parameters\n ----------\n q : ndarray\n (M,F-1) array of market-firm-specific download speeds in Mbps\n cc : ndarray\n (M... |
5d0aebc08ebe642ff15ab493d9521accbda48a0f7798afcb57dc4a16af73db17 | def q(cc, ds, xis, theta, num_stations, pop, impute_MVNO={'impute': False}, q_0=None):
"\n Return the equilibrium quality\n \n Parameters\n ----------\n cc : ndarray\n (M,F-1) array of channel capacities in Mb/s\n ds : DemandSystem\n contains all the data about ou... | Return the equilibrium quality
Parameters
----------
cc : ndarray
(M,F-1) array of channel capacities in Mb/s
ds : DemandSystem
contains all the data about our markets
xis : ndarray
(M,J) matrix of vertical demand components
theta : ndarray
(K,) array of demand paramete... | code/counterfactuals/transmissionequilibrium.py | q | jonathantelliott/mobile-telecommunications | 2 | python | def q(cc, ds, xis, theta, num_stations, pop, impute_MVNO={'impute': False}, q_0=None):
"\n Return the equilibrium quality\n \n Parameters\n ----------\n cc : ndarray\n (M,F-1) array of channel capacities in Mb/s\n ds : DemandSystem\n contains all the data about ou... | def q(cc, ds, xis, theta, num_stations, pop, impute_MVNO={'impute': False}, q_0=None):
"\n Return the equilibrium quality\n \n Parameters\n ----------\n cc : ndarray\n (M,F-1) array of channel capacities in Mb/s\n ds : DemandSystem\n contains all the data about ou... |
d3de2f9533c972d36f0eba42246c410397c3e2c63ae3867ed6c4af986599f631 | def climate_flow_correlation(climate_dir, in_json, out_json, plot_r=None):
'Find linear relationship between climate and flow in an expanding time window'
l = sorted([os.path.join(climate_dir, x) for x in os.listdir(climate_dir)])
print(len(l), 'station files')
offsets = [x for x in range(1, 61)]
wi... | Find linear relationship between climate and flow in an expanding time window | gage_analysis.py | climate_flow_correlation | dgketchum/irr_impacts | 0 | python | def climate_flow_correlation(climate_dir, in_json, out_json, plot_r=None):
l = sorted([os.path.join(climate_dir, x) for x in os.listdir(climate_dir)])
print(len(l), 'station files')
offsets = [x for x in range(1, 61)]
windows = {}
with open(in_json, 'r') as f:
metadata = json.load(f)
... | def climate_flow_correlation(climate_dir, in_json, out_json, plot_r=None):
l = sorted([os.path.join(climate_dir, x) for x in os.listdir(climate_dir)])
print(len(l), 'station files')
offsets = [x for x in range(1, 61)]
windows = {}
with open(in_json, 'r') as f:
metadata = json.load(f)
... |
a6a7e26b300af1a5cccbcc8a551a0594d98dee0b87b724d34e2862504fcc5225 | def _assert_is_numpy_array(name, array):
'Raises an exception if `array` is not a numpy array.'
if (not isinstance(array, np.ndarray)):
raise ValueError('The argument {!r} should be a numpy array, not a {}'.format(name, type(array))) | Raises an exception if `array` is not a numpy array. | surface_distance/metrics.py | _assert_is_numpy_array | capitaltg/surface-distance | 314 | python | def _assert_is_numpy_array(name, array):
if (not isinstance(array, np.ndarray)):
raise ValueError('The argument {!r} should be a numpy array, not a {}'.format(name, type(array))) | def _assert_is_numpy_array(name, array):
if (not isinstance(array, np.ndarray)):
raise ValueError('The argument {!r} should be a numpy array, not a {}'.format(name, type(array)))<|docstring|>Raises an exception if `array` is not a numpy array.<|endoftext|> |
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