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62.2k
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stringlengths 0
3.11k
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stringlengths 5
79
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int64 17
19.2k
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59
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4 |
hard_nms
|
def hard_nms(box_scores, iou_threshold, top_k=-1, candidate_size=200):
scores = box_scores[:, -1]
boxes = box_scores[:, :-1]
picked = []
indexes = np.argsort(scores)
indexes = indexes[-candidate_size:]
while len(indexes) > 0:
current = indexes[-1]
picked.append(current)
if 0 < top_k == len(picked) or len(indexes) == 1:
break
current_box = boxes[current, :]
indexes = indexes[:-1]
rest_boxes = boxes[indexes, :]
iou = iou_of(
rest_boxes,
np.expand_dims(
current_box, axis=0), )
indexes = indexes[iou <= iou_threshold]
return box_scores[picked, :]
|
ddaa2c2552e19635cd6cdf38619f1f176c358f89
| 13 |
picodet_postprocess.py
| 237 |
add SLANet
| 4,737 | 0 | 196 | 152 | 50 | 24,457 | 68 |
PaddleOCR
| 20 |
ppstructure/layout/picodet_postprocess.py
|
Python
| 20 |
{
"docstring": "\n Args:\n box_scores (N, 5): boxes in corner-form and probabilities.\n iou_threshold: intersection over union threshold.\n top_k: keep top_k results. If k <= 0, keep all the results.\n candidate_size: only consider the candidates with the highest scores.\n Returns:\n picked: a list of indexes of the kept boxes\n ",
"language": "en",
"n_whitespaces": 91,
"n_words": 45,
"vocab_size": 38
}
|
https://github.com/PaddlePaddle/PaddleOCR.git
|
|
4 |
get_module_by_name
|
def get_module_by_name(model, module_name):
name_list = module_name.split(".")
for name in name_list[:-1]:
if hasattr(model, name):
model = getattr(model, name)
else:
return None, None
if hasattr(model, name_list[-1]):
leaf_module = getattr(model, name_list[-1])
return model, leaf_module
else:
return None, None
|
d68c786ff81bad19c04619d6a999ff34aaa724e7
| 12 |
pruning.py
| 131 |
[Compression] remove pruning v1 & refactor directory (#5228)
| 25,005 | 0 | 107 | 82 | 24 | 113,688 | 35 |
nni
| 9 |
nni/compression/pytorch/utils/pruning.py
|
Python
| 12 |
{
"docstring": "\n Get a module specified by its module name\n Parameters\n ----------\n model : pytorch model\n the pytorch model from which to get its module\n module_name : str\n the name of the required module\n Returns\n -------\n module, module\n the parent module of the required module, the required module\n ",
"language": "en",
"n_whitespaces": 95,
"n_words": 46,
"vocab_size": 25
}
|
https://github.com/microsoft/nni.git
|
|
2 |
check_keys_split
|
def check_keys_split(self, decoded) -> None:
bad_keys = set(decoded.keys()).difference(set(self._split_keys))
if bad_keys:
bad_keys_joined = ", ".join(bad_keys)
raise ValueError(f"JSON data had unexpected key(s): {bad_keys_joined}")
|
734db4f1fde2566a02b3c7ff661a479b0a71633c
| 12 |
_json.py
| 85 |
TYP: Return annotations for io/{formats,json} (#47516)
* TYP: Return annotations for io/{formats,json}
* flake8
* explicitly check whether width is None
| 40,008 | 0 | 64 | 47 | 20 | 167,425 | 21 |
pandas
| 11 |
pandas/io/json/_json.py
|
Python
| 8 |
{
"docstring": "\n Checks that dict has only the appropriate keys for orient='split'.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
}
|
https://github.com/pandas-dev/pandas.git
|
|
7 |
connect
|
def connect(self, host='', port=0, timeout=-999, source_address=None):
if host != '':
self.host = host
if port > 0:
self.port = port
if timeout != -999:
self.timeout = timeout
if self.timeout is not None and not self.timeout:
raise ValueError('Non-blocking socket (timeout=0) is not supported')
if source_address is not None:
self.source_address = source_address
sys.audit("ftplib.connect", self, self.host, self.port)
self.sock = socket.create_connection((self.host, self.port), self.timeout,
source_address=self.source_address)
self.af = self.sock.family
self.file = self.sock.makefile('r', encoding=self.encoding)
self.welcome = self.getresp()
return self.welcome
|
8198943edd73a363c266633e1aa5b2a9e9c9f526
| 10 |
ftplib.py
| 264 |
add python 3.10.4 for windows
| 54,803 | 0 | 255 | 167 | 49 | 217,460 | 72 |
XX-Net
| 19 |
python3.10.4/Lib/ftplib.py
|
Python
| 18 |
{
"docstring": "Connect to host. Arguments are:\n - host: hostname to connect to (string, default previous host)\n - port: port to connect to (integer, default previous port)\n - timeout: the timeout to set against the ftp socket(s)\n - source_address: a 2-tuple (host, port) for the socket to bind\n to as its source address before connecting.\n ",
"language": "en",
"n_whitespaces": 103,
"n_words": 53,
"vocab_size": 37
}
|
https://github.com/XX-net/XX-Net.git
|
|
15 |
model_is_indexable
|
def model_is_indexable(cls, model, allow_child_models=False):
if getattr(model, "wagtail_reference_index_ignore", False):
return False
# Don't check any models that have a parental key, references from these will be collected from the parent
if not allow_child_models and any(
[isinstance(field, ParentalKey) for field in model._meta.get_fields()]
):
return False
for field in model._meta.get_fields():
if field.is_relation and field.many_to_one:
if getattr(field, "wagtail_reference_index_ignore", False):
continue
if getattr(
field.related_model, "wagtail_reference_index_ignore", False
):
continue
if isinstance(field, (ParentalKey, GenericRel)):
continue
return True
if hasattr(field, "extract_references"):
return True
if issubclass(model, ClusterableModel):
for child_relation in get_all_child_relations(model):
if cls.model_is_indexable(
child_relation.related_model,
allow_child_models=True,
):
return True
return False
|
c8689acb3724dc12fb09a0bfc14d7e4755a1ea0f
| 13 |
reference_index.py
| 244 |
Check field for .extract_references method instead of field type
Co-authored-by: Matt Westcott <matthew@torchbox.com>
| 16,955 | 0 | 466 | 156 | 59 | 79,676 | 91 |
wagtail
| 20 |
wagtail/models/reference_index.py
|
Python
| 28 |
{
"docstring": "\n Returns True if the given model may have outbound references that we would be interested in recording in the index.\n\n\n Args:\n model (type): a Django model class\n allow_child_models (boolean): Child models are not indexable on their own. If you are looking at\n a child model from the perspective of indexing it through its parent,\n set this to True to disable checking for this. Default False.\n ",
"language": "en",
"n_whitespaces": 191,
"n_words": 65,
"vocab_size": 55
}
|
https://github.com/wagtail/wagtail.git
|
|
3 |
test_write_tfrecords
|
def test_write_tfrecords(ray_start_regular_shared, tmp_path):
import tensorflow as tf
# The dataset we will write to a .tfrecords file.
ds = ray.data.from_items(
[
# Row one.
{
"int_item": 1,
"int_list": [2, 2, 3],
"float_item": 1.0,
"float_list": [2.0, 3.0, 4.0],
"bytes_item": b"abc",
"bytes_list": [b"abc", b"1234"],
},
# Row two.
{
"int_item": 2,
"int_list": [3, 3, 4],
"float_item": 2.0,
"float_list": [2.0, 2.0, 3.0],
"bytes_item": b"def",
"bytes_list": [b"def", b"1234"],
},
]
)
# The corresponding tf.train.Example that we would expect to read
# from this dataset.
expected_records = [
# Record one (corresponding to row one).
tf.train.Example(
features=tf.train.Features(
feature={
"int_item": tf.train.Feature(
int64_list=tf.train.Int64List(value=[1])
),
"int_list": tf.train.Feature(
int64_list=tf.train.Int64List(value=[2, 2, 3])
),
"float_item": tf.train.Feature(
float_list=tf.train.FloatList(value=[1.0])
),
"float_list": tf.train.Feature(
float_list=tf.train.FloatList(value=[2.0, 3.0, 4.0])
),
"bytes_item": tf.train.Feature(
bytes_list=tf.train.BytesList(value=[b"abc"])
),
"bytes_list": tf.train.Feature(
bytes_list=tf.train.BytesList(value=[b"abc", b"1234"])
),
}
)
),
# Record two (corresponding to row two).
tf.train.Example(
features=tf.train.Features(
feature={
"int_item": tf.train.Feature(
int64_list=tf.train.Int64List(value=[2])
),
"int_list": tf.train.Feature(
int64_list=tf.train.Int64List(value=[3, 3, 4])
),
"float_item": tf.train.Feature(
float_list=tf.train.FloatList(value=[2.0])
),
"float_list": tf.train.Feature(
float_list=tf.train.FloatList(value=[2.0, 2.0, 3.0])
),
"bytes_item": tf.train.Feature(
bytes_list=tf.train.BytesList(value=[b"def"])
),
"bytes_list": tf.train.Feature(
bytes_list=tf.train.BytesList(value=[b"def", b"1234"])
),
}
)
),
]
# Perform the test.
# Write the dataset to a .tfrecords file.
ds.write_tfrecords(tmp_path)
# Read the Examples back out from the .tfrecords file.
# This follows the offical TFRecords tutorial:
# https://www.tensorflow.org/tutorials/load_data/tfrecord#reading_a_tfrecord_file_2
filenames = sorted(os.listdir(tmp_path))
filepaths = [os.path.join(tmp_path, filename) for filename in filenames]
raw_dataset = tf.data.TFRecordDataset(filepaths)
tfrecords = []
for raw_record in raw_dataset:
example = tf.train.Example()
example.ParseFromString(raw_record.numpy())
tfrecords.append(example)
assert tfrecords == expected_records
|
9fab504fe776f96fecf85e12ea006264cbe92f4a
| 23 |
test_dataset_tfrecords.py
| 885 |
[Datasets] Add writer for TFRecords. (#29448)
This PR enables users to write TFRecords from datasets.
In particular, the master branch already includes an API for reading TFRecords from datasets. Users have requested the ability to write these datasets back to TFRecords.
| 30,665 | 0 | 1,453 | 590 | 127 | 135,586 | 231 |
ray
| 40 |
python/ray/data/tests/test_dataset_tfrecords.py
|
Python
| 82 |
{
"docstring": "Test that write_tfrecords writes TFRecords correctly.\n\n Test this by writing a Dataset to a TFRecord (function under test),\n reading it back out into a tf.train.Example,\n and checking that the result is analogous to the original Dataset.\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 36,
"vocab_size": 30
}
|
https://github.com/ray-project/ray.git
|
|
2 |
fix_script
|
def fix_script(path):
# type: (str) -> bool
# XXX RECORD hashes will need to be updated
assert os.path.isfile(path)
with open(path, 'rb') as script:
firstline = script.readline()
if not firstline.startswith(b'#!python'):
return False
exename = sys.executable.encode(sys.getfilesystemencoding())
firstline = b'#!' + exename + os.linesep.encode("ascii")
rest = script.read()
with open(path, 'wb') as script:
script.write(firstline)
script.write(rest)
return True
|
f638f5d0e6c8ebed0e69a6584bc7f003ec646580
| 12 |
wheel.py
| 185 |
upd; format
| 12,353 | 0 | 134 | 104 | 41 | 60,940 | 53 |
transferlearning
| 18 |
.venv/lib/python3.8/site-packages/pip/_internal/operations/install/wheel.py
|
Python
| 13 |
{
"docstring": "Replace #!python with #!/path/to/python\n Return True if file was changed.\n ",
"language": "en",
"n_whitespaces": 16,
"n_words": 10,
"vocab_size": 10
}
|
https://github.com/jindongwang/transferlearning.git
|
|
1 |
decrypt_data
|
async def decrypt_data(self, session):
return await decrypt_fernet(session, self.data)
@declarative_mixin
|
40309ccbc3b8c8474ae15293fbbecb28eded6ef5
|
@declarative_mixin
| 9 |
orm_models.py
| 35 |
Update Block API
| 10,992 | 1 | 22 | 18 | 9 | 54,156 | 9 |
prefect
| 6 |
src/prefect/orion/database/orm_models.py
|
Python
| 2 |
{
"docstring": "\n Retrieve decrypted data from the ORM model.\n\n Note: will only succeed if the caller has sufficient permission.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 17,
"vocab_size": 16
}
|
https://github.com/PrefectHQ/prefect.git
|
2 |
assign
|
def assign(self, **kwargs) -> DataFrame:
r
data = self.copy(deep=None)
for k, v in kwargs.items():
data[k] = com.apply_if_callable(v, data)
return data
|
36dcf519c67a8098572447f7d5a896740fc9c464
| 10 |
frame.py
| 75 |
ENH/TST: expand copy-on-write to assign() method (#50010)
| 40,716 | 0 | 58 | 48 | 18 | 171,745 | 20 |
pandas
| 12 |
pandas/core/frame.py
|
Python
| 66 |
{
"docstring": "\n Assign new columns to a DataFrame.\n\n Returns a new object with all original columns in addition to new ones.\n Existing columns that are re-assigned will be overwritten.\n\n Parameters\n ----------\n **kwargs : dict of {str: callable or Series}\n The column names are keywords. If the values are\n callable, they are computed on the DataFrame and\n assigned to the new columns. The callable must not\n change input DataFrame (though pandas doesn't check it).\n If the values are not callable, (e.g. a Series, scalar, or array),\n they are simply assigned.\n\n Returns\n -------\n DataFrame\n A new DataFrame with the new columns in addition to\n all the existing columns.\n\n Notes\n -----\n Assigning multiple columns within the same ``assign`` is possible.\n Later items in '\\*\\*kwargs' may refer to newly created or modified\n columns in 'df'; items are computed and assigned into 'df' in order.\n\n Examples\n --------\n >>> df = pd.DataFrame({'temp_c': [17.0, 25.0]},\n ... index=['Portland', 'Berkeley'])\n >>> df\n temp_c\n Portland 17.0\n Berkeley 25.0\n\n Where the value is a callable, evaluated on `df`:\n\n >>> df.assign(temp_f=lambda x: x.temp_c * 9 / 5 + 32)\n temp_c temp_f\n Portland 17.0 62.6\n Berkeley 25.0 77.0\n\n Alternatively, the same behavior can be achieved by directly\n referencing an existing Series or sequence:\n\n >>> df.assign(temp_f=df['temp_c'] * 9 / 5 + 32)\n temp_c temp_f\n Portland 17.0 62.6\n Berkeley 25.0 77.0\n\n You can create multiple columns within the same assign where one\n of the columns depends on another one defined within the same assign:\n\n >>> df.assign(temp_f=lambda x: x['temp_c'] * 9 / 5 + 32,\n ... temp_k=lambda x: (x['temp_f'] + 459.67) * 5 / 9)\n temp_c temp_f temp_k\n Portland 17.0 62.6 290.15\n Berkeley 25.0 77.0 298.15\n ",
"language": "en",
"n_whitespaces": 761,
"n_words": 268,
"vocab_size": 146
}
|
https://github.com/pandas-dev/pandas.git
|
|
2 |
in4_chksum
|
def in4_chksum(proto, u, p):
# type: (int, IP, bytes) -> int
if not isinstance(u, IP):
warning("No IP underlayer to compute checksum. Leaving null.")
return 0
psdhdr = in4_pseudoheader(proto, u, len(p))
return checksum(psdhdr + p)
|
20ac1d00389d0735e6d8cd1347f0a53f478144ba
| 10 |
inet.py
| 74 |
Support TCP-MD5 and TCP-AO (#3358)
Support TCP-MD5 and TCP-AO
| 52,613 | 0 | 63 | 45 | 32 | 209,123 | 34 |
scapy
| 11 |
scapy/layers/inet.py
|
Python
| 6 |
{
"docstring": "IPv4 Pseudo Header checksum as defined in RFC793\n\n :param nh: value of upper layer protocol\n :param u: upper layer instance\n :param p: the payload of the upper layer provided as a string\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 32,
"vocab_size": 23
}
|
https://github.com/secdev/scapy.git
|
|
4 |
get_pe_matching_query
|
def get_pe_matching_query(amount_condition, account_from_to, transaction):
# get matching payment entries query
from_date = frappe.db.get_single_value("Bank Reconciliation Tool", "bank_statement_from_date")
to_date = frappe.db.get_single_value("Bank Reconciliation Tool", "bank_statement_to_date")
from_reference_date = frappe.db.get_single_value(
"Bank Reconciliation Tool", "from_reference_date"
)
to_reference_date = frappe.db.get_single_value("Bank Reconciliation Tool", "to_reference_date")
filtered_by_reference_date = frappe.db.get_single_value(
"Bank Reconciliation Tool", "filtered_by_reference_date"
)
if transaction.deposit > 0:
currency_field = "paid_to_account_currency as currency"
else:
currency_field = "paid_from_account_currency as currency"
cond_filtered_from_ref_date = ""
cond_filtered_to_ref_date = ""
cond_filtered_from_posting_date = ""
cond_filtered_to_posting_date = ""
from_ref_date =""
to_ref_date =""
from_post_date = ""
to_post_date = ""
if(filtered_by_reference_date):
cond_filtered_from_ref_date = " AND reference_date >="
cond_filtered_to_ref_date = " AND reference_date <="
from_ref_date = from_reference_date
to_ref_date = to_reference_date
elif(not filtered_by_reference_date):
cond_filtered_from_posting_date = " AND posting_date >="
cond_filtered_to_posting_date = " AND posting_date <="
from_post_date = from_date
to_post_date = to_date
pe_data= f
return pe_data
|
408c89df030998fe36df135570c9edd90a522996
| 10 |
bank_reconciliation_tool.py
| 336 |
Feat:Filter on Payment Entries and Journal Entries
Applying filters on Payement entries and Journal Entries as per reference date and posting date
| 15,095 | 0 | 91 | 149 | 60 | 69,776 | 124 |
erpnext
| 24 |
erpnext/accounts/doctype/bank_reconciliation_tool/bank_reconciliation_tool.py
|
Python
| 61 |
{
"docstring": "\n\t\tSELECT\n\t\t\t(CASE WHEN reference_no=%(reference_no)s THEN 1 ELSE 0 END\n\t\t\t+ CASE WHEN (party_type = %(party_type)s AND party = %(party)s ) THEN 1 ELSE 0 END\n\t\t\t+ 1 ) AS rank,\n\t\t\t'Payment Entry' as doctype,\n\t\t\tname,\n\t\t\tpaid_amount,\n\t\t\treference_no,\n\t\t\treference_date,\n\t\t\tparty,\n\t\t\tparty_type,\n\t\t\tposting_date,\n\t\t\t{currency_field}\n\t\tFROM\n\t\t\t`tabPayment Entry`\n\t\tWHERE\n\t\t\tpaid_amount {amount_condition} %(amount)s\n\t\t\tAND docstatus = 1\n\t\t\tAND payment_type IN (%(payment_type)s, 'Internal Transfer')\n\t\t\tAND ifnull(clearance_date, '') = \"\"\n\t\t\tAND {account_from_to} = %(bank_account)s\n\t\t\tAND reference_no = '{transaction.reference_number}'\n\t\t\t{cond_filtered_from_ref_date} \"{from_ref_date}\"\n\t\t\t{cond_filtered_to_ref_date} \"{to_ref_date}\"\n\t\t\t{cond_filtered_from_posting_date} \"{from_post_date}\"\n\t\t\t{cond_filtered_to_posting_date} \"{to_post_date}\"\n\t\t",
"language": "en",
"n_whitespaces": 55,
"n_words": 80,
"vocab_size": 60
}
|
https://github.com/frappe/erpnext.git
|
|
2 |
_download_and_prepare
|
def _download_and_prepare(self, dl_manager):
# TODO: Download external resources if needed
bad_words_path = dl_manager.download_and_extract(BAD_WORDS_URL)
self.bad_words = {w.strip() for w in open(bad_words_path, encoding="utf-8")}
|
21bfd0d3f5ff3fbfd691600e2c7071a167816cdf
| 12 |
new_metric_script.py
| 64 |
Run pyupgrade for Python 3.6+ (#3560)
* Run pyupgrade for Python 3.6+
* Fix lint issues
* Revert changes for the datasets code
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
| 21,781 | 0 | 49 | 38 | 20 | 104,200 | 21 |
datasets
| 11 |
templates/new_metric_script.py
|
Python
| 3 |
{
"docstring": "Optional: download external resources useful to compute the scores",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
}
|
https://github.com/huggingface/datasets.git
|
|
1 |
_cache_bytecode
|
def _cache_bytecode(self, source_path, cache_path, data):
# For backwards compatibility, we delegate to set_data()
return self.set_data(cache_path, data)
|
8198943edd73a363c266633e1aa5b2a9e9c9f526
| 7 |
_bootstrap_external.py
| 33 |
add python 3.10.4 for windows
| 55,160 | 0 | 37 | 21 | 16 | 218,142 | 16 |
XX-Net
| 6 |
python3.10.4/Lib/importlib/_bootstrap_external.py
|
Python
| 2 |
{
"docstring": "Optional method which writes data (bytes) to a file path (a str).\n\n Implementing this method allows for the writing of bytecode files.\n\n The source path is needed in order to correctly transfer permissions\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 33,
"vocab_size": 30
}
|
https://github.com/XX-net/XX-Net.git
|
|
2 |
add_tip
|
def add_tip(self, tip=None, tip_shape=None, tip_length=None, at_start=False):
if tip is None:
tip = self.create_tip(tip_shape, tip_length, at_start)
else:
self.position_tip(tip, at_start)
self.reset_endpoints_based_on_tip(tip, at_start)
self.asign_tip_attr(tip, at_start)
self.add(tip)
return self
|
e040bcacd38378386749db18aeba575b93f4ebca
| 10 |
arc.py
| 111 |
Improved structure of the :mod:`.mobject` module (#2476)
* group graphing and update its references
* group text and update its references
* group opengl and update its references
* group three_d and update its references
* group geometry and update (most) references
* move some chaning.py + updater files into animation
* refactor arc.py
* refactor line.py
* refactor polygram.py
* refactor tips.py
* black + isort
* import new files in __init__.py
* refactor places where geometry was used
* black + isort again
* remove unused imports
* update reference.rst
* add descriptions to files
* fix circular imports
* forgot ArrowTip
* fix tests
* fix doctests
* satisfy mypy?
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix ALL merge conflicts
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* one VMobject import slipped through
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* re-add imports to `manim/opengl/__init__.py`
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix reference manual
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* ignore unknown directive type
* fix arrow tip imports in docstrings
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Benjamin Hackl <devel@benjamin-hackl.at>
| 46,154 | 0 | 96 | 73 | 21 | 189,648 | 25 |
manim
| 11 |
manim/mobject/geometry/arc.py
|
Python
| 9 |
{
"docstring": "\n Adds a tip to the TipableVMobject instance, recognising\n that the endpoints might need to be switched if it's\n a 'starting tip' or not.\n ",
"language": "en",
"n_whitespaces": 52,
"n_words": 23,
"vocab_size": 20
}
|
https://github.com/ManimCommunity/manim.git
|
|
8 |
check_graph_consistency
|
def check_graph_consistency(tensor=None, method="add_loss", force_raise=False):
if force_raise or (
tf1.executing_eagerly_outside_functions()
and hasattr(tensor, "graph")
and tensor.graph.is_control_flow_graph
):
if method == "activity_regularizer":
bad_example =
|
fa6d9107a498f7c2403ff28c7b389a1a0c5cc083
|
bad_example = """
| 12 |
base_layer_utils.py
| 96 |
reduct too long lines
| 81,922 | 1 | 70 | 130 | 19 | 277,267 | 21 |
keras
| 14 |
keras/engine/base_layer_utils.py
|
Python
| 111 |
{
"docstring": "Checks that tensors passed to `add_*` method match the Keras graph.\n\n When one of the `add_*` method is called inside a V2 conditional branch, the\n underlying tensor gets created in a FuncGraph managed by control_flow_v2.\n We need to raise clear error messages in such cases.\n\n Args:\n tensor: Tensor to check, or `False` if it is known that an error\n should be raised.\n method: Caller method, one of {'add_metric', 'add_loss', 'add_update'}.\n force_raise: If an error should be raised regardless of `tensor`.\n\n Raises:\n RuntimeError: In case of an out-of-graph tensor.\n \n class TestModel(tf.keras.Model):\n",
"language": "en",
"n_whitespaces": 140,
"n_words": 90,
"vocab_size": 70
}
|
https://github.com/keras-team/keras.git
|
1 |
_make_dist
|
def _make_dist(self):
dist = tfp.distributions.MultivariateNormalTriL(
self.theta, scale_tril=tf.linalg.cholesky(self.covariance)
)
return dist
|
136c8d5e4d2fab6106f007f4ce5d5c321922ae17
| 12 |
bandit_tf_model.py
| 54 |
[RLlib] Tests for bandit convergence and solving cov matrix problem (#29666)
Signed-off-by: Avnish <avnishnarayan@gmail.com>
Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>
Co-authored-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>
| 30,601 | 0 | 49 | 33 | 9 | 135,341 | 10 |
ray
| 12 |
rllib/algorithms/bandit/bandit_tf_model.py
|
Python
| 5 |
{
"docstring": "Create a multivariate normal distribution with the current parameters",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
}
|
https://github.com/ray-project/ray.git
|
|
1 |
_kth_arnoldi_iteration
|
def _kth_arnoldi_iteration(k, A, M, V, H):
eps = jnp.finfo(jnp.result_type(*tree_leaves(V))).eps
v = tree_map(lambda x: x[..., k], V) # Gets V[:, k]
v = M(A(v))
_, v_norm_0 = _safe_normalize(v)
v, h = _iterative_classical_gram_schmidt(V, v, v_norm_0, max_iterations=2)
tol = eps * v_norm_0
unit_v, v_norm_1 = _safe_normalize(v, thresh=tol)
V = tree_map(lambda X, y: X.at[..., k + 1].set(y), V, unit_v)
h = h.at[k + 1].set(v_norm_1)
H = H.at[k, :].set(h)
breakdown = v_norm_1 == 0.
return V, H, breakdown
|
df1ceaeeb11efc7c5af1ad2dd102857128c23b26
| 14 |
linalg.py
| 255 |
Deprecate jax.tree_util.tree_multimap
| 26,741 | 0 | 87 | 170 | 52 | 119,998 | 73 |
jax
| 29 |
jax/_src/scipy/sparse/linalg.py
|
Python
| 13 |
{
"docstring": "\n Performs a single (the k'th) step of the Arnoldi process. Thus,\n adds a new orthonormalized Krylov vector A(M(V[:, k])) to V[:, k+1],\n and that vectors overlaps with the existing Krylov vectors to\n H[k, :]. The tolerance 'tol' sets the threshold at which an invariant\n subspace is declared to have been found, in which case in which case the new\n vector is taken to be the zero vector.\n ",
"language": "en",
"n_whitespaces": 75,
"n_words": 67,
"vocab_size": 50
}
|
https://github.com/google/jax.git
|
|
10 |
correct_non_span
|
def _correct_non_span(self, line_str):
words = line_str.split("</span>")
line_str = ""
for i in range(0, words.__len__()):
if i != words.__len__() - 1:
j = words[i].find("<span")
else:
j = words[i].__len__()
temp = ""
starti = -1
for k in range(0, j):
if words[i][k] == "\t" and starti == -1:
continue
else:
if starti == -1:
starti = k
temp = temp + words[i][k]
if temp != "":
if i != words.__len__() - 1:
temp = (
'<span style="color:'
+ self.default_color
+ '">'
+ words[i][starti:j]
+ "</span>"
)
else:
temp = (
'<span style="color:'
+ self.default_color
+ '">'
+ words[i][starti:j]
)
temp = temp + words[i][j:]
words[i] = temp
if words[i] != "":
line_str = line_str + words[i] + "</span>"
return line_str
|
902e7eb4f0147b5882a613b67467e38a1d47f01e
| 18 |
code_mobject.py
| 375 |
Hide more private methods from the docs. (#2468)
* hide privs from text_mobject.py
* hide privs from tex_mobject.py
* hide privs from code_mobject.py
* hide privs from svg_mobject.py
* remove SVGPath and utils from __init__.py
* don't import string_to_numbers
* hide privs from geometry.py
* hide privs from matrix.py
* hide privs from numbers.py
* hide privs from three_dimensions.py
* forgot underscore under set_stroke_width_from_length
* there were more i missed
* unhidea method that was used in docs
* forgot other text2hash
* remove svg_path from docs
| 46,063 | 0 | 728 | 223 | 46 | 189,455 | 118 |
manim
| 14 |
manim/mobject/svg/code_mobject.py
|
Python
| 38 |
{
"docstring": "Function put text color to those strings that don't have one according to background_color of displayed code.\n\n Parameters\n ---------\n line_str : :class:`str`\n Takes a html element's string to put color to it according to background_color of displayed code.\n\n Returns\n -------\n :class:`str`\n The generated html element's string with having color attributes.\n ",
"language": "en",
"n_whitespaces": 121,
"n_words": 50,
"vocab_size": 34
}
|
https://github.com/ManimCommunity/manim.git
|
|
3 |
get_named_beta_schedule
|
def get_named_beta_schedule(schedule_name, num_diffusion_timesteps):
if schedule_name == "linear":
# Linear schedule from Ho et al, extended to work for any number of
# diffusion steps.
scale = 1000 / num_diffusion_timesteps
beta_start = scale * 0.0001
beta_end = scale * 0.02
return np.linspace(beta_start, beta_end, num_diffusion_timesteps, dtype=np.float64)
elif schedule_name == "cosine":
return betas_for_alpha_bar(
num_diffusion_timesteps,
lambda t: math.cos((t + 0.008) / 1.008 * math.pi / 2)**2,
)
else:
raise NotImplementedError(f"unknown beta schedule: {schedule_name}")
|
f4d6e64cdc132ae868699a0ba442f4ab1d304a14
| 19 |
gaussian_diffusion.py
| 147 |
add disco_diffusion_cnclip_vitb16 module
| 9,908 | 0 | 166 | 96 | 56 | 49,784 | 69 |
PaddleHub
| 16 |
modules/image/text_to_image/disco_diffusion_cnclip_vitb16/reverse_diffusion/model/gaussian_diffusion.py
|
Python
| 13 |
{
"docstring": "\n Get a pre-defined beta schedule for the given name.\n\n The beta schedule library consists of beta schedules which remain similar\n in the limit of num_diffusion_timesteps.\n Beta schedules may be added, but should not be removed or changed once\n they are committed to maintain backwards compatibility.\n ",
"language": "en",
"n_whitespaces": 64,
"n_words": 45,
"vocab_size": 38
}
|
https://github.com/PaddlePaddle/PaddleHub.git
|
|
5 |
call
|
def call(self, features, training=None):
if not isinstance(features, dict):
raise ValueError(
"We expected a dictionary here. Instead we got: ", features
)
if training is None:
training = backend.learning_phase()
transformation_cache = (
tf.__internal__.feature_column.FeatureTransformationCache(features)
)
output_tensors = []
sequence_lengths = []
for column in self._feature_columns:
with backend.name_scope(column.name):
try:
(
dense_tensor,
sequence_length,
) = column.get_sequence_dense_tensor(
transformation_cache,
self._state_manager,
training=training,
)
except TypeError:
(
dense_tensor,
sequence_length,
) = column.get_sequence_dense_tensor(
transformation_cache, self._state_manager
)
# Flattens the final dimension to produce a 3D Tensor.
output_tensors.append(
self._process_dense_tensor(column, dense_tensor)
)
sequence_lengths.append(sequence_length)
# Check and process sequence lengths.
kfc._verify_static_batch_size_equality(
sequence_lengths, self._feature_columns
)
sequence_length = _assert_all_equal_and_return(sequence_lengths)
return self._verify_and_concat_tensors(output_tensors), sequence_length
|
6fafb567af4e4d9f42974d0b6c55b18bc03e17eb
| 16 |
sequence_feature_column.py
| 264 |
resolve line-too-long in feature_column
| 82,375 | 0 | 677 | 167 | 73 | 278,117 | 98 |
keras
| 31 |
keras/feature_column/sequence_feature_column.py
|
Python
| 39 |
{
"docstring": "Returns sequence input corresponding to the `feature_columns`.\n\n Args:\n features: A dict mapping keys to tensors.\n training: Python boolean or None, indicating whether to the layer is\n being run in training mode. This argument is passed to the call\n method of any `FeatureColumn` that takes a `training` argument. For\n example, if a `FeatureColumn` performed dropout, the column could\n expose a `training` argument to control whether the dropout should\n be applied. If `None`, defaults to\n `tf.keras.backend.learning_phase()`.\n\n\n Returns:\n An `(input_layer, sequence_length)` tuple where:\n - input_layer: A float `Tensor` of shape `[batch_size, T, D]`.\n `T` is the maximum sequence length for this batch, which could\n differ from batch to batch. `D` is the sum of `num_elements` for\n all `feature_columns`.\n - sequence_length: An int `Tensor` of shape `[batch_size]`. The\n sequence length for each example.\n\n Raises:\n ValueError: If features are not a dictionary.\n ",
"language": "en",
"n_whitespaces": 335,
"n_words": 137,
"vocab_size": 99
}
|
https://github.com/keras-team/keras.git
|
|
9 |
validate_utf16_characters
|
def validate_utf16_characters(self, pair):
if not self.first_half_surrogate_pair_detected_16be:
if 0xD8 <= pair[0] <= 0xDB:
self.first_half_surrogate_pair_detected_16be = True
elif 0xDC <= pair[0] <= 0xDF:
self.invalid_utf16be = True
else:
if 0xDC <= pair[0] <= 0xDF:
self.first_half_surrogate_pair_detected_16be = False
else:
self.invalid_utf16be = True
if not self.first_half_surrogate_pair_detected_16le:
if 0xD8 <= pair[1] <= 0xDB:
self.first_half_surrogate_pair_detected_16le = True
elif 0xDC <= pair[1] <= 0xDF:
self.invalid_utf16le = True
else:
if 0xDC <= pair[1] <= 0xDF:
self.first_half_surrogate_pair_detected_16le = False
else:
self.invalid_utf16le = True
|
cd5a9683be69c86c8f3adcd13385a9bc5db198ec
| 13 |
utf1632prober.py
| 199 |
Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir.
| 4,096 | 0 | 316 | 128 | 23 | 21,965 | 73 |
pipenv
| 7 |
pipenv/patched/pip/_vendor/chardet/utf1632prober.py
|
Python
| 21 |
{
"docstring": "\n Validate if the pair of bytes is valid UTF-16.\n\n UTF-16 is valid in the range 0x0000 - 0xFFFF excluding 0xD800 - 0xFFFF\n with an exception for surrogate pairs, which must be in the range\n 0xD800-0xDBFF followed by 0xDC00-0xDFFF\n\n https://en.wikipedia.org/wiki/UTF-16\n ",
"language": "en",
"n_whitespaces": 83,
"n_words": 39,
"vocab_size": 31
}
|
https://github.com/pypa/pipenv.git
|
|
7 |
get_all_items
|
def get_all_items(date_range, company, field, limit=None):
if field in ("available_stock_qty", "available_stock_value"):
select_field = "sum(actual_qty)" if field == "available_stock_qty" else "sum(stock_value)"
return frappe.db.get_all(
"Bin",
fields=["item_code as name", "{0} as value".format(select_field)],
group_by="item_code",
order_by="value desc",
limit=limit,
)
else:
if field == "total_sales_amount":
select_field = "sum(order_item.base_net_amount)"
select_doctype = "Sales Order"
elif field == "total_purchase_amount":
select_field = "sum(order_item.base_net_amount)"
select_doctype = "Purchase Order"
elif field == "total_qty_sold":
select_field = "sum(order_item.stock_qty)"
select_doctype = "Sales Order"
elif field == "total_qty_purchased":
select_field = "sum(order_item.stock_qty)"
select_doctype = "Purchase Order"
date_condition = get_date_condition(date_range, "sales_order.transaction_date")
return frappe.db.sql(
.format(
select_field, select_doctype, date_condition
),
(company, cint(limit)),
as_dict=1,
) # nosec
@frappe.whitelist()
|
494bd9ef78313436f0424b918f200dab8fc7c20b
|
@frappe.whitelist()
| 14 |
leaderboard.py
| 284 |
style: format code with black
| 14,559 | 1 | 65 | 152 | 56 | 67,568 | 96 |
erpnext
| 20 |
erpnext/startup/leaderboard.py
|
Python
| 40 |
{
"docstring": "\n\t\t\tselect order_item.item_code as name, {0} as value\n\t\t\tfrom `tab{1}` sales_order join `tab{1} Item` as order_item\n\t\t\t\ton sales_order.name = order_item.parent\n\t\t\twhere sales_order.docstatus = 1\n\t\t\t\tand sales_order.company = %s {2}\n\t\t\tgroup by order_item.item_code\n\t\t\torder by value desc\n\t\t\tlimit %s\n\t\t",
"language": "en",
"n_whitespaces": 29,
"n_words": 37,
"vocab_size": 29
}
|
https://github.com/frappe/erpnext.git
|
21 |
findLibrary
|
def findLibrary(name):
assert compat.is_unix, "Current implementation for Unix only (Linux, Solaris, AIX, FreeBSD)"
# Look in the LD_LIBRARY_PATH according to platform.
if compat.is_aix:
lp = compat.getenv('LIBPATH', '')
elif compat.is_darwin:
lp = compat.getenv('DYLD_LIBRARY_PATH', '')
else:
lp = compat.getenv('LD_LIBRARY_PATH', '')
lib = _which_library(name, filter(None, lp.split(os.pathsep)))
# Look in /etc/ld.so.cache
# Solaris does not have /sbin/ldconfig. Just check if this file exists.
if lib is None:
utils.load_ldconfig_cache()
lib = utils.LDCONFIG_CACHE.get(name)
if lib:
assert os.path.isfile(lib)
# Look in the known safe paths.
if lib is None:
# Architecture independent locations.
paths = ['/lib', '/usr/lib']
# Architecture dependent locations.
if compat.architecture == '32bit':
paths.extend(['/lib32', '/usr/lib32'])
else:
paths.extend(['/lib64', '/usr/lib64'])
# Machine dependent locations.
if compat.machine == 'intel':
if compat.architecture == '32bit':
paths.extend(['/usr/lib/i386-linux-gnu'])
else:
paths.extend(['/usr/lib/x86_64-linux-gnu'])
# On Debian/Ubuntu /usr/bin/python is linked statically with libpython. Newer Debian/Ubuntu with multiarch
# support puts the libpythonX.Y.so in paths like /usr/lib/i386-linux-gnu/.
try:
# Module available only in Python 2.7+
import sysconfig
# 'multiarchsubdir' works on Debian/Ubuntu only in Python 2.7 and 3.3+.
arch_subdir = sysconfig.get_config_var('multiarchsubdir')
# Ignore if None is returned.
if arch_subdir:
arch_subdir = os.path.basename(arch_subdir)
paths.append(os.path.join('/usr/lib', arch_subdir))
else:
logger.debug('Multiarch directory not detected.')
except ImportError:
logger.debug('Multiarch directory not detected.')
# Termux (a Ubuntu like subsystem for Android) has an additional libraries directory.
if os.path.isdir('/data/data/com.termux/files/usr/lib'):
paths.append('/data/data/com.termux/files/usr/lib')
if compat.is_aix:
paths.append('/opt/freeware/lib')
elif compat.is_hpux:
if compat.architecture == '32bit':
paths.append('/usr/local/lib/hpux32')
else:
paths.append('/usr/local/lib/hpux64')
elif compat.is_freebsd or compat.is_openbsd:
paths.append('/usr/local/lib')
lib = _which_library(name, paths)
# Give up :(
if lib is None:
return None
# Resolve the file name into the soname
if compat.is_freebsd or compat.is_aix or compat.is_openbsd:
# On FreeBSD objdump does not show SONAME, and on AIX objdump does not exist, so we just return the lib we
# have found.
return lib
else:
dir = os.path.dirname(lib)
return os.path.join(dir, _get_so_name(lib))
|
57c520132b4d0ab7bfd5653383ec2602e40088af
| 16 |
bindepend.py
| 650 |
Bindepend: Add Termux-specific libraries search path.
According to termux/termux-app#1595, this is all we need to change to faclitate
using PyInstaller on Termux.
| 77,342 | 0 | 840 | 360 | 160 | 262,743 | 283 |
pyinstaller
| 40 |
PyInstaller/depend/bindepend.py
|
Python
| 54 |
{
"docstring": "\n Look for a library in the system.\n\n Emulate the algorithm used by dlopen. `name` must include the prefix, e.g., ``libpython2.4.so``.\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 20,
"vocab_size": 18
}
|
https://github.com/pyinstaller/pyinstaller.git
|
|
1 |
test_return_expanded
|
def test_return_expanded(self):
self.assertEqual(StateFilter.all().return_expanded(), StateFilter.all())
self.assertEqual(StateFilter.none().return_expanded(), StateFilter.none())
# Concrete-only state filters stay the same
# (Case: mixed filter)
self.assertEqual(
StateFilter.freeze(
{
EventTypes.Member: {"@wombat:test", "@alicia:test"},
"some.other.state.type": {""},
},
include_others=False,
).return_expanded(),
StateFilter.freeze(
{
EventTypes.Member: {"@wombat:test", "@alicia:test"},
"some.other.state.type": {""},
},
include_others=False,
),
)
# Concrete-only state filters stay the same
# (Case: non-member-only filter)
self.assertEqual(
StateFilter.freeze(
{"some.other.state.type": {""}}, include_others=False
).return_expanded(),
StateFilter.freeze({"some.other.state.type": {""}}, include_others=False),
)
# Concrete-only state filters stay the same
# (Case: member-only filter)
self.assertEqual(
StateFilter.freeze(
{
EventTypes.Member: {"@wombat:test", "@alicia:test"},
},
include_others=False,
).return_expanded(),
StateFilter.freeze(
{
EventTypes.Member: {"@wombat:test", "@alicia:test"},
},
include_others=False,
),
)
# Wildcard member-only state filters stay the same
self.assertEqual(
StateFilter.freeze(
{EventTypes.Member: None},
include_others=False,
).return_expanded(),
StateFilter.freeze(
{EventTypes.Member: None},
include_others=False,
),
)
# If there is a wildcard in the non-member portion of the filter,
# it's expanded to include ALL non-member events.
# (Case: mixed filter)
self.assertEqual(
StateFilter.freeze(
{
EventTypes.Member: {"@wombat:test", "@alicia:test"},
"some.other.state.type": None,
},
include_others=False,
).return_expanded(),
StateFilter.freeze(
{EventTypes.Member: {"@wombat:test", "@alicia:test"}},
include_others=True,
),
)
# If there is a wildcard in the non-member portion of the filter,
# it's expanded to include ALL non-member events.
# (Case: non-member-only filter)
self.assertEqual(
StateFilter.freeze(
{
"some.other.state.type": None,
},
include_others=False,
).return_expanded(),
StateFilter.freeze({EventTypes.Member: set()}, include_others=True),
)
self.assertEqual(
StateFilter.freeze(
{
"some.other.state.type": None,
"yet.another.state.type": {"wombat"},
},
include_others=False,
).return_expanded(),
StateFilter.freeze({EventTypes.Member: set()}, include_others=True),
)
|
eb609c65d0794dd49efcd924bdc8743fd4253a93
| 15 |
test_state.py
| 668 |
Fix bug in `StateFilter.return_expanded()` and add some tests. (#12016)
| 71,177 | 0 | 1,317 | 410 | 63 | 246,360 | 203 |
synapse
| 12 |
tests/storage/test_state.py
|
Python
| 81 |
{
"docstring": "\n Tests the behaviour of the return_expanded() function that expands\n StateFilters to include more state types (for the sake of cache hit rate).\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 22,
"vocab_size": 19
}
|
https://github.com/matrix-org/synapse.git
|
|
2 |
exit_single_process_silo_context
|
def exit_single_process_silo_context(cls) -> Generator[None, None, None]:
old = _single_process_silo_mode_state.mode
_single_process_silo_mode_state.mode = None
try:
yield
finally:
_single_process_silo_mode_state.mode = old
|
3bfb9420a7d80e395c250718d17419daaf021aa2
| 10 |
base.py
| 59 |
chore(hybrid-cloud): several endpoint tests e2e (#41691)
This a major break through PR that gets several acceptance and api unit
tests passing e2e with hybrid cloud.
I want to explain what's going on in greater detail and get this merged
next week, unfortunately I'm traveling for now.
This only brings up our hybrid cloud test coverage to 77/4096, but
here's the thing -- this is a break through, because its much much much
easier now in general to add new endpoints. With these major issues out
of the way, getting endpoint tests is some combination of:
1. Swapping out `user=user` for `user_id=user.id`, or similar
(`organization=organization` for `organization_id=...`) in situations
where a relationship would span a silo boundary, but the id is the only
thing that matters.
2. Fixing serializers. Serializers LOVE to cross silo boundaries, but
fixes don't have to be complicated.
3. Something else but I'm tired and I can't think straight.
But honestly, I think it will be much easier to start banging out way
more stable=True tests from this.
Let's get this merged next week and figure out how to start smashing
more boundaries down.
| 18,506 | 0 | 75 | 35 | 13 | 89,155 | 18 |
sentry
| 6 |
src/sentry/silo/base.py
|
Python
| 13 |
{
"docstring": "\n Used by silo endpoint decorators and other contexts to signal that a potential inter process interaction\n is being simulated locally for acceptance tests that validate the behavior of multiple endpoints with\n process boundaries in play. Call this inside of any RPC interaction to ensure that such acceptance tests\n can 'swap' the silo context on the fly.\n ",
"language": "en",
"n_whitespaces": 93,
"n_words": 56,
"vocab_size": 45
}
|
https://github.com/getsentry/sentry.git
|
|
2 |
redirect
|
def redirect(to, *args, permanent=False, **kwargs):
redirect_class = (
HttpResponsePermanentRedirect if permanent else HttpResponseRedirect
)
return redirect_class(resolve_url(to, *args, **kwargs))
|
9c19aff7c7561e3a82978a272ecdaad40dda5c00
| 10 |
shortcuts.py
| 60 |
Refs #33476 -- Reformatted code with Black.
| 51,392 | 0 | 37 | 39 | 17 | 206,167 | 18 |
django
| 9 |
django/shortcuts.py
|
Python
| 5 |
{
"docstring": "\n Return an HttpResponseRedirect to the appropriate URL for the arguments\n passed.\n\n The arguments could be:\n\n * A model: the model's `get_absolute_url()` function will be called.\n\n * A view name, possibly with arguments: `urls.reverse()` will be used\n to reverse-resolve the name.\n\n * A URL, which will be used as-is for the redirect location.\n\n Issues a temporary redirect by default; pass permanent=True to issue a\n permanent redirect.\n ",
"language": "en",
"n_whitespaces": 114,
"n_words": 65,
"vocab_size": 46
}
|
https://github.com/django/django.git
|
|
6 |
test_ppo_exploration_setup
|
def test_ppo_exploration_setup(self):
config = copy.deepcopy(ppo.DEFAULT_CONFIG)
config["num_workers"] = 0 # Run locally.
config["env_config"] = {"is_slippery": False, "map_name": "4x4"}
obs = np.array(0)
# Test against all frameworks.
for fw in framework_iterator(config):
# Default Agent should be setup with StochasticSampling.
trainer = ppo.PPOTrainer(config=config, env="FrozenLake-v1")
# explore=False, always expect the same (deterministic) action.
a_ = trainer.compute_single_action(
obs, explore=False, prev_action=np.array(2), prev_reward=np.array(1.0)
)
# Test whether this is really the argmax action over the logits.
if fw != "tf":
last_out = trainer.get_policy().model.last_output()
if fw == "torch":
check(a_, np.argmax(last_out.detach().cpu().numpy(), 1)[0])
else:
check(a_, np.argmax(last_out.numpy(), 1)[0])
for _ in range(50):
a = trainer.compute_single_action(
obs,
explore=False,
prev_action=np.array(2),
prev_reward=np.array(1.0),
)
check(a, a_)
# With explore=True (default), expect stochastic actions.
actions = []
for _ in range(300):
actions.append(
trainer.compute_single_action(
obs, prev_action=np.array(2), prev_reward=np.array(1.0)
)
)
check(np.mean(actions), 1.5, atol=0.2)
trainer.stop()
|
7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065
| 22 |
test_ppo.py
| 446 |
[CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes.
| 30,114 | 0 | 629 | 285 | 87 | 133,802 | 126 |
ray
| 37 |
rllib/agents/ppo/tests/test_ppo.py
|
Python
| 33 |
{
"docstring": "Tests, whether PPO runs with different exploration setups.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
}
|
https://github.com/ray-project/ray.git
|
|
3 |
logout
|
def logout(self, request, extra_context=None):
from django.contrib.auth.views import LogoutView
defaults = {
"extra_context": {
**self.each_context(request),
# Since the user isn't logged out at this point, the value of
# has_permission must be overridden.
"has_permission": False,
**(extra_context or {}),
},
}
if self.logout_template is not None:
defaults["template_name"] = self.logout_template
request.current_app = self.name
return LogoutView.as_view(**defaults)(request)
|
9c19aff7c7561e3a82978a272ecdaad40dda5c00
| 13 |
sites.py
| 137 |
Refs #33476 -- Reformatted code with Black.
| 50,391 | 0 | 209 | 85 | 46 | 203,467 | 52 |
django
| 15 |
django/contrib/admin/sites.py
|
Python
| 13 |
{
"docstring": "\n Log out the user for the given HttpRequest.\n\n This should *not* assume the user is already logged in.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 15
}
|
https://github.com/django/django.git
|
|
7 |
register
|
def register(self, addon):
api_changes = {
# mitmproxy 6 -> mitmproxy 7
"clientconnect": "client_connected",
"clientdisconnect": "client_disconnected",
"serverconnect": "server_connect and server_connected",
"serverdisconnect": "server_disconnected",
}
for a in traverse([addon]):
for old, new in api_changes.items():
if hasattr(a, old):
ctx.log.warn(f"The {old} event has been removed, use {new} instead. "
f"For more details, see https://docs.mitmproxy.org/stable/addons-events/.")
name = _get_name(a)
if name in self.lookup:
raise exceptions.AddonManagerError(
"An addon called '%s' already exists." % name
)
l = Loader(self.master)
self.invoke_addon_sync(addon, LoadHook(l))
for a in traverse([addon]):
name = _get_name(a)
self.lookup[name] = a
for a in traverse([addon]):
self.master.commands.collect_commands(a)
self.master.options.process_deferred()
return addon
|
ee4999e8e4380f7b67faef92f04c361deffba412
| 16 |
addonmanager.py
| 283 |
Rename new async helper functions.
async_trigger -> trigger_event
invoke_addon -> invoke_addon_sync (API breakage)
async_invoke_addon -> invoke_addon
| 73,504 | 0 | 397 | 164 | 68 | 250,551 | 91 |
mitmproxy
| 27 |
mitmproxy/addonmanager.py
|
Python
| 26 |
{
"docstring": "\n Register an addon, call its load event, and then register all its\n sub-addons. This should be used by addons that dynamically manage\n addons.\n\n If the calling addon is already running, it should follow with\n running and configure events. Must be called within a current\n context.\n ",
"language": "en",
"n_whitespaces": 119,
"n_words": 45,
"vocab_size": 41
}
|
https://github.com/mitmproxy/mitmproxy.git
|
|
5 |
test_sql_create_database
|
def test_sql_create_database(self, db, subtests, request):
db_data = request.getfixturevalue(db)
db_type = db_data['type']
db_creds = db_data['connection_data']
queries = [
{
'create': 'CREATE DATABASE',
'drop': 'DROP DATABASE'
}, {
'create': 'CREATE DATABASE',
'drop': None
}
]
created_db_names = []
for query in queries:
create_query = query['create']
drop_query = query['drop']
db_name = db_type.upper()
created_db_names.append(db_name)
with subtests.test(msg=f'{db_type}', create_query=create_query, drop_query=drop_query, db_name=db_name):
query = f
self.sql_via_http(query, RESPONSE_TYPE.OK)
assert db_name in self.show_databases()
if drop_query is not None:
self.sql_via_http(f'{drop_query} {db_name}', RESPONSE_TYPE.OK)
assert db_name.upper() not in self.show_databases()
resp = self.sql_via_http('show databases', RESPONSE_TYPE.TABLE)
db_names = [x[0] for x in resp['data']]
for name in created_db_names:
assert name in db_names
|
13d267c409bf1cc65fca366d1aa4fc51438cbf71
| 15 |
test_http.py
| 367 |
It http test refactoring (#3959)
* HTTP and company independent tests refactoring
| 25,949 | 0 | 431 | 200 | 65 | 117,299 | 97 |
mindsdb
| 30 |
tests/integration_tests/flows/test_http.py
|
Python
| 34 |
{
"docstring": " sql-via-http:\n 'create database' for each db\n 'drop database' for each db\n 'create database' for each db\n \n {create_query} {db_name}\n WITH ENGINE = '{db_type}',\n PARAMETERS = {json.dumps(db_creds)};\n ",
"language": "en",
"n_whitespaces": 139,
"n_words": 25,
"vocab_size": 15
}
|
https://github.com/mindsdb/mindsdb.git
|
|
2 |
get_log_file_handles
|
def get_log_file_handles(self, name, unique=False):
if not self.should_redirect_logs():
return None, None
log_stdout, log_stderr = self._get_log_file_names(name, unique=unique)
return open_log(log_stdout), open_log(log_stderr)
|
1971a08b7dadf98c337ed0067db5b59d805b31ae
| 9 |
node.py
| 77 |
[RFC] [Core] Support disabling log redirection via `RAY_LOG_TO_STDERR` environment variable. (#21767)
| 28,982 | 0 | 57 | 48 | 17 | 129,592 | 18 |
ray
| 9 |
python/ray/node.py
|
Python
| 5 |
{
"docstring": "Open log files with partially randomized filenames, returning the\n file handles. If output redirection has been disabled, no files will\n be opened and `(None, None)` will be returned.\n\n Args:\n name (str): descriptive string for this log file.\n unique (bool): if true, a counter will be attached to `name` to\n ensure the returned filename is not already used.\n\n Returns:\n A tuple of two file handles for redirecting (stdout, stderr), or\n `(None, None)` if output redirection is disabled.\n ",
"language": "en",
"n_whitespaces": 170,
"n_words": 76,
"vocab_size": 60
}
|
https://github.com/ray-project/ray.git
|
|
3 |
get_default_cache_location
|
def get_default_cache_location() -> str:
if "LUDWIG_CACHE" in os.environ and os.environ["LUDWIG_CACHE"]:
return os.environ["LUDWIG_CACHE"]
else:
return str(Path.home().joinpath(".ludwig_cache"))
|
e4fc06f986e03919d9aef3ab55c05fee5a6b9d3a
| 14 |
dataset_loader.py
| 81 |
Config-first Datasets API (ludwig.datasets refactor) (#2479)
* Adds README and stub for reading dataset configs.
* Adds __init__.py for configs, moves circular import into function scope in ludwig/datasets/__init__.py
* Print config files in datasets folder.
* First pass at automatic archive extraction.
* Implemented downloading and extract.
* Refactor DatasetConfig into its own file.
* Fixed bugs downloading kaggle dataset.
* Makes registry store dataset instances, not classes. Also comments out import_submodules for testing.
* Typo fix.
* Only pass data files on to load_unprocessed_dataframe, symlink directories.
* Downloading dataset files into existing directory if exists.
* Refactor: make datasets fully config-first, lazy load dataset loaders.
* Implemented agnews custom loader.
* Implements train/validation/test split by files, and globbing support
* Adds _glob_multiple
* Adds adult_census_income, agnews, allstate_claims_severity.
* Implements sha256 verification, adds more datasets up to creditcard_fraud.
* Adds checksums, dbpedia, electricity
* Fixes gzip file name returned as string not list, adds up to forest_cover dataset.
* Adds datasets up to reuters_r8
* Adds all datasets which don't require a custom class.
* Restore dataset import behavior by implementing module __getattr__
* Adds KDD datasets.
* Adds ieee_fraud.
* Adds imbalanced_insurance, insurance_lite.
* Adds mnist.
* Completes implementation of all of the built-in datasets.
* Made cache_dir optional, read from environment variable if set.
* Upgrades datasets tests.
* Adds test for new dataset config API. Also adds scripts for dataset link checking.
* Fixes loading allstate claims severity dataset.
* Use @lru_cache(1), @cache not supported in python < 3.9
* Deletes dataset registry, updates automl test utils
* Fix imports of datasets API.
* Adds more detail to sha256: docstring and basic README
* Copy-paste link oops.
* Fixes handling of nested archive types like .tar.bz Also adds a LUDWIG_CACHE and export to the README
* Adds link for twitter bots.
* Fix order of splits in README.md
* typo
* Adds verify as a phase in doc string.
* Support .pqt, .pq extensions for parquet.
* Handle nested archives with longer file extensions like .csv.zip
* Handle nested .gz types properly too. Check all extensions with .endswith
* Handle all archive types with .endswith
* Update ludwig/datasets/loaders/split_loaders.py
Co-authored-by: Joppe Geluykens <joppe@rvrie.com>
* Adds explanation for export, fixes preserve_paths (should be relative to processed_dataset_dir)
* Resolve preserved paths relative to raw dataset dir before move.
* Catch runtime exception from extracting sub-archives.
Co-authored-by: Daniel Treiman <daniel@predibase.com>
Co-authored-by: Joppe Geluykens <joppe@rvrie.com>
| 1,336 | 0 | 38 | 44 | 14 | 8,086 | 15 |
ludwig
| 7 |
ludwig/datasets/loaders/dataset_loader.py
|
Python
| 6 |
{
"docstring": "Returns a path to the default LUDWIG_CACHE location, or $HOME/.ludwig_cache.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
}
|
https://github.com/ludwig-ai/ludwig.git
|
|
5 |
response_chunks
|
def response_chunks(response, chunk_size=CONTENT_CHUNK_SIZE):
# type: (Response, int) -> Iterator[bytes]
try:
# Special case for urllib3.
for chunk in response.raw.stream(
chunk_size,
# We use decode_content=False here because we don't
# want urllib3 to mess with the raw bytes we get
# from the server. If we decompress inside of
# urllib3 then we cannot verify the checksum
# because the checksum will be of the compressed
# file. This breakage will only occur if the
# server adds a Content-Encoding header, which
# depends on how the server was configured:
# - Some servers will notice that the file isn't a
# compressible file and will leave the file alone
# and with an empty Content-Encoding
# - Some servers will notice that the file is
# already compressed and will leave the file
# alone and will add a Content-Encoding: gzip
# header
# - Some servers won't notice anything at all and
# will take a file that's already been compressed
# and compress it again and set the
# Content-Encoding: gzip header
#
# By setting this not to decode automatically we
# hope to eliminate problems with the second case.
decode_content=False,
):
yield chunk
except AttributeError:
# Standard file-like object.
while True:
chunk = response.raw.read(chunk_size)
if not chunk:
break
yield chunk
|
f638f5d0e6c8ebed0e69a6584bc7f003ec646580
| 14 |
utils.py
| 114 |
upd; format
| 12,341 | 0 | 600 | 54 | 119 | 60,915 | 214 |
transferlearning
| 10 |
.venv/lib/python3.8/site-packages/pip/_internal/network/utils.py
|
Python
| 13 |
{
"docstring": "Given a requests Response, provide the data chunks.\n ",
"language": "en",
"n_whitespaces": 11,
"n_words": 8,
"vocab_size": 8
}
|
https://github.com/jindongwang/transferlearning.git
|
|
4 |
result_list
|
def result_list(cl):
headers = list(result_headers(cl))
num_sorted_fields = 0
for h in headers:
if h["sortable"] and h["sorted"]:
num_sorted_fields += 1
return {
"cl": cl,
"result_hidden_fields": list(result_hidden_fields(cl)),
"result_headers": headers,
"num_sorted_fields": num_sorted_fields,
"results": list(results(cl)),
}
@register.tag(name="result_list")
|
9c19aff7c7561e3a82978a272ecdaad40dda5c00
|
@register.tag(name="result_list")
| 11 |
admin_list.py
| 142 |
Refs #33476 -- Reformatted code with Black.
| 50,407 | 1 | 103 | 72 | 31 | 203,489 | 33 |
django
| 12 |
django/contrib/admin/templatetags/admin_list.py
|
Python
| 13 |
{
"docstring": "\n Display the headers and data list together.\n ",
"language": "en",
"n_whitespaces": 14,
"n_words": 7,
"vocab_size": 7
}
|
https://github.com/django/django.git
|
1 |
test_single_path
|
def test_single_path(self):
with extend_sys_path(self.base_location):
with self.settings(INSTALLED_APPS=["nsapp"]):
app_config = apps.get_app_config("nsapp")
self.assertEqual(app_config.path, self.app_path)
|
9c19aff7c7561e3a82978a272ecdaad40dda5c00
| 14 |
tests.py
| 84 |
Refs #33476 -- Reformatted code with Black.
| 49,877 | 0 | 66 | 46 | 10 | 201,109 | 11 |
django
| 12 |
tests/apps/tests.py
|
Python
| 5 |
{
"docstring": "\n A Py3.3+ namespace package can be an app if it has only one path.\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 14,
"vocab_size": 14
}
|
https://github.com/django/django.git
|
|
3 |
origins
|
def origins(self):
if hasattr(self, '_path_objects'):
return self.path_objects[0]
return [
path_node_to_object(node) for node in self.path[0]
]
|
6ff2e55ce408f0f7f2fe99129048421c25ecafe6
| 9 |
cables.py
| 60 |
Add origins, destinations properties on CablePath
| 77,907 | 0 | 65 | 37 | 14 | 264,909 | 15 |
netbox
| 7 |
netbox/dcim/models/cables.py
|
Python
| 6 |
{
"docstring": "\n Return the list of originating objects (from cache, if available).\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
}
|
https://github.com/netbox-community/netbox.git
|
|
1 |
to_state
|
def to_state(self) -> Tuple[str, Any]:
# Must implement by each connector.
return NotImplementedError
|
51aa429f4c2db2f5bb35064cedaf70c8df2828a8
| 6 |
connector.py
| 26 |
[RLlib] minor cleanup of connector to/from state APIs (#28884)
* [RLlib] minor cleanup of connector to/from state APIs. Also better error messages.
Signed-off-by: Jun Gong <jungong@anyscale.com>
* wip
Signed-off-by: Jun Gong <jungong@anyscale.com>
* address review comments.
Signed-off-by: Jun Gong <jungong@anyscale.com>
* lint
Signed-off-by: Jun Gong <jungong@anyscale.com>
| 28,611 | 0 | 34 | 15 | 13 | 128,083 | 13 |
ray
| 6 |
rllib/connectors/connector.py
|
Python
| 13 |
{
"docstring": "Serialize a connector into a JSON serializable Tuple.\n\n to_state is required, so that all Connectors are serializable.\n\n Returns:\n A tuple of connector's name and its serialized states.\n String should match the name used to register the connector,\n while state can be any single data structure that contains the\n serialized state of the connector. If a connector is stateless,\n state can simply be None.\n ",
"language": "en",
"n_whitespaces": 139,
"n_words": 63,
"vocab_size": 48
}
|
https://github.com/ray-project/ray.git
|
|
1 |
paired_cosine_distances
|
def paired_cosine_distances(X, Y):
X, Y = check_paired_arrays(X, Y)
return 0.5 * row_norms(normalize(X) - normalize(Y), squared=True)
PAIRED_DISTANCES = {
"cosine": paired_cosine_distances,
"euclidean": paired_euclidean_distances,
"l2": paired_euclidean_distances,
"l1": paired_manhattan_distances,
"manhattan": paired_manhattan_distances,
"cityblock": paired_manhattan_distances,
}
|
a5b70b3132467b5e3616178d9ecca6cb7316c400
| 11 |
pairwise.py
| 108 |
DOC Ensures that sklearn.metrics.pairwise.paired_cosine_distances passes numpydoc validation (#22141)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
| 75,273 | 0 | 56 | 39 | 27 | 258,521 | 31 |
scikit-learn
| 10 |
sklearn/metrics/pairwise.py
|
Python
| 3 |
{
"docstring": "\n Compute the paired cosine distances between X and Y.\n\n Read more in the :ref:`User Guide <metrics>`.\n\n Parameters\n ----------\n X : array-like of shape (n_samples, n_features)\n An array where each row is a sample and each column is a feature.\n\n Y : array-like of shape (n_samples, n_features)\n An array where each row is a sample and each column is a feature.\n\n Returns\n -------\n distances : ndarray of shape (n_samples,)\n Returns the distances between the row vectors of `X`\n and the row vectors of `Y`, where `distances[i]` is the\n distance between `X[i]` and `Y[i]`.\n\n Notes\n -----\n The cosine distance is equivalent to the half the squared\n euclidean distance if each sample is normalized to unit norm.\n ",
"language": "en",
"n_whitespaces": 192,
"n_words": 114,
"vocab_size": 57
}
|
https://github.com/scikit-learn/scikit-learn.git
|
|
1 |
popular_tags_for_model
|
def popular_tags_for_model(model, count=10):
content_type = ContentType.objects.get_for_model(model)
return (
Tag.objects.filter(taggit_taggeditem_items__content_type=content_type)
.annotate(item_count=Count("taggit_taggeditem_items"))
.order_by("-item_count")[:count]
)
|
d10f15e55806c6944827d801cd9c2d53f5da4186
| 15 |
models.py
| 88 |
Reformat with black
| 15,639 | 0 | 45 | 52 | 12 | 71,191 | 12 |
wagtail
| 14 |
wagtail/admin/models.py
|
Python
| 7 |
{
"docstring": "Return a queryset of the most frequently used tags used on this model class",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
}
|
https://github.com/wagtail/wagtail.git
|
|
1 |
test_create_remote_before_start
|
def test_create_remote_before_start(call_ray_start_shared):
from ray.util.client import ray
|
297341e107daee1ea3aff991ae8ea8c90993c683
| 6 |
test_client.py
| 24 |
[Test][Client] Only start ray once in client tests (#28835)
It looks like we're frequently starting and shutting down Ray in this test because `ray_start_client_server` isn't connecting to the Ray created by `ray_start_regular_shared`, and is instead starting a new Ray head process every time it launches.
Ray client tests are failing frequently with:
```
[2022-10-06 07:31:46,253 E 13235 13751] core_worker_process.cc:277: The core worker has already been shutdown. This happens when the language frontend accesses the Ray's worker after it is shutdown. The process will exit
```
Which is probably caused by having multiple ray clusters running simultaneous, with some shutting down asynchronously. This refactor forces all of the tests in the module to use the same Ray cluster.
Also fixes two other sources of potential flakiness:
* Joins the thread in test_client_thread_safe (seems like this has a bad interaction when the client server is cleaned up)
* Calls ray.get in `test_stdout_log_stream`, to make sure that the remote function is done running before we try searching for its output
Should also have the happy side effect of speeding up test_client.
Ran the `Small & Client` tests (regular and external redis) twice each, no flakes, and windows version of test_client.
| 30,157 | 0 | 12 | 77 | 6 | 133,938 | 6 |
ray
| 5 |
python/ray/tests/test_client.py
|
Python
| 12 |
{
"docstring": "Creates remote objects (as though in a library) before\n starting the client.\n ",
"language": "en",
"n_whitespaces": 18,
"n_words": 12,
"vocab_size": 12
}
|
https://github.com/ray-project/ray.git
|
|
10 |
tsqr
|
def tsqr(a):
if len(a.shape) != 2:
raise Exception(
"tsqr requires len(a.shape) == 2, but a.shape is " "{}".format(a.shape)
)
if a.num_blocks[1] != 1:
raise Exception(
"tsqr requires a.num_blocks[1] == 1, but a.num_blocks "
"is {}".format(a.num_blocks)
)
num_blocks = a.num_blocks[0]
K = int(np.ceil(np.log2(num_blocks))) + 1
q_tree = np.empty((num_blocks, K), dtype=object)
current_rs = []
for i in range(num_blocks):
block = a.object_refs[i, 0]
q, r = ra.linalg.qr.remote(block)
q_tree[i, 0] = q
current_rs.append(r)
for j in range(1, K):
new_rs = []
for i in range(int(np.ceil(1.0 * len(current_rs) / 2))):
stacked_rs = ra.vstack.remote(*current_rs[(2 * i) : (2 * i + 2)])
q, r = ra.linalg.qr.remote(stacked_rs)
q_tree[i, j] = q
new_rs.append(r)
current_rs = new_rs
assert len(current_rs) == 1, "len(current_rs) = " + str(len(current_rs))
# handle the special case in which the whole DistArray "a" fits in one
# block and has fewer rows than columns, this is a bit ugly so think about
# how to remove it
if a.shape[0] >= a.shape[1]:
q_shape = a.shape
else:
q_shape = [a.shape[0], a.shape[0]]
q_num_blocks = core.DistArray.compute_num_blocks(q_shape)
q_object_refs = np.empty(q_num_blocks, dtype=object)
q_result = core.DistArray(q_shape, q_object_refs)
# reconstruct output
for i in range(num_blocks):
q_block_current = q_tree[i, 0]
ith_index = i
for j in range(1, K):
if np.mod(ith_index, 2) == 0:
lower = [0, 0]
upper = [a.shape[1], core.BLOCK_SIZE]
else:
lower = [a.shape[1], 0]
upper = [2 * a.shape[1], core.BLOCK_SIZE]
ith_index //= 2
q_block_current = ra.dot.remote(
q_block_current, ra.subarray.remote(q_tree[ith_index, j], lower, upper)
)
q_result.object_refs[i] = q_block_current
r = current_rs[0]
return q_result, ray.get(r)
# TODO(rkn): This is unoptimized, we really want a block version of this.
# This is Algorithm 5 from
# http://www.eecs.berkeley.edu/Pubs/TechRpts/2013/EECS-2013-175.pdf.
@ray.remote(num_returns=3)
|
7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065
|
@ray.remote(num_returns=3)
| 18 |
linalg.py
| 749 |
[CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes.
| 29,340 | 1 | 649 | 473 | 154 | 130,746 | 261 |
ray
| 51 |
python/ray/experimental/array/distributed/linalg.py
|
Python
| 52 |
{
"docstring": "Perform a QR decomposition of a tall-skinny matrix.\n\n Args:\n a: A distributed matrix with shape MxN (suppose K = min(M, N)).\n\n Returns:\n A tuple of q (a DistArray) and r (a numpy array) satisfying the\n following.\n - If q_full = ray.get(DistArray, q).assemble(), then\n q_full.shape == (M, K).\n - np.allclose(np.dot(q_full.T, q_full), np.eye(K)) == True.\n - If r_val = ray.get(np.ndarray, r), then r_val.shape == (K, N).\n - np.allclose(r, np.triu(r)) == True.\n ",
"language": "en",
"n_whitespaces": 160,
"n_words": 69,
"vocab_size": 54
}
|
https://github.com/ray-project/ray.git
|
5 |
recognize_log_derivative
|
def recognize_log_derivative(a, d, DE, z=None):
z = z or Dummy('z')
a, d = a.cancel(d, include=True)
_, a = a.div(d)
pz = Poly(z, DE.t)
Dd = derivation(d, DE)
q = a - pz*Dd
r, _ = d.resultant(q, includePRS=True)
r = Poly(r, z)
Np, Sp = splitfactor_sqf(r, DE, coefficientD=True, z=z)
for s, _ in Sp:
# TODO also consider the complex roots which should
# turn the flag false
a = real_roots(s.as_poly(z))
if not all(j.is_Integer for j in a):
return False
return True
|
f5e24ed39a88b645ca27d15d60d5098895785773
| 12 |
risch.py
| 226 |
fix nits
| 49,138 | 0 | 156 | 146 | 62 | 199,088 | 81 |
sympy
| 29 |
sympy/integrals/risch.py
|
Python
| 15 |
{
"docstring": "\n There exists a v in K(x)* such that f = dv/v\n where f a rational function if and only if f can be written as f = A/D\n where D is squarefree,deg(A) < deg(D), gcd(A, D) = 1,\n and all the roots of the Rothstein-Trager resultant are integers. In that case,\n any of the Rothstein-Trager, Lazard-Rioboo-Trager or Czichowski algorithm\n produces u in K(x) such that du/dx = uf.\n ",
"language": "en",
"n_whitespaces": 90,
"n_words": 68,
"vocab_size": 51
}
|
https://github.com/sympy/sympy.git
|
|
2 |
async_step_zeroconf
|
async def async_step_zeroconf(self, discovery_info):
self.url = discovery_info.host
self.uuid = await helpers.get_uuid(self.url)
if self.uuid is None:
return self.async_abort(reason="no_valid_uuid_set")
await self.async_set_unique_id(self.uuid)
self._abort_if_unique_id_configured()
return await self.async_step_user()
|
3c5a667d9784bb5f2fab426b133b5582706c6e68
| 11 |
config_flow.py
| 111 |
Add Z-Wave.Me integration (#65473)
* Add support of Z-Wave.Me Z-Way and RaZberry server (#61182)
Co-authored-by: Paulus Schoutsen <paulus@home-assistant.io>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
Co-authored-by: LawfulChaos <kerbalspacema@gmail.com>
* Add switch platform to Z-Wave.Me integration (#64957)
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
Co-authored-by: Dmitry Vlasov <kerbalspacema@gmail.com>
* Add button platform to Z-Wave.Me integration (#65109)
Co-authored-by: epenet <6771947+epenet@users.noreply.github.com>
Co-authored-by: Dmitry Vlasov <kerbalspacema@gmail.com>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Fix button controller access (#65117)
* Add lock platform to Z-Wave.Me integration #65109 (#65114)
Co-authored-by: epenet <6771947+epenet@users.noreply.github.com>
Co-authored-by: Dmitry Vlasov <kerbalspacema@gmail.com>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Add sensor platform to Z-Wave.Me integration (#65132)
* Sensor Entity
* Sensor fixes
* Apply suggestions from code review
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Inline descriotion according to review proposal
* State Classes for sensor
* Generic sensor
* Generic sensor
Co-authored-by: Dmitry Vlasov <kerbalspacema@gmail.com>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Add binary sensor platform to Z-Wave.Me integration (#65306)
* Binary Sensor Entity
* Update docstring
Co-authored-by: Dmitry Vlasov <kerbalspacema@gmail.com>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Add Light Entity platform to Z-Wave.Me integration (#65331)
* Light Entity
* mypy fix
* Fixes, ZWaveMePlatforms enum
* Apply suggestions from code review
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Fixes
* Fixes
* Fixes
Co-authored-by: Dmitry Vlasov <kerbalspacema@gmail.com>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Add Thermostat platform to Z-Wave.Me integration #65331 (#65371)
* Climate entity
* Climate entity
* Apply suggestions from code review
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Climate entity fix
* Clean up
* cleanup
* Import order fix
* Correct naming
Co-authored-by: Dmitry Vlasov <kerbalspacema@gmail.com>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Correct zwave_me .coveragerc (#65491)
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
Co-authored-by: Paulus Schoutsen <paulus@home-assistant.io>
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
Co-authored-by: LawfulChaos <kerbalspacema@gmail.com>
Co-authored-by: epenet <6771947+epenet@users.noreply.github.com>
| 111,351 | 0 | 83 | 65 | 18 | 312,712 | 23 |
core
| 13 |
homeassistant/components/zwave_me/config_flow.py
|
Python
| 8 |
{
"docstring": "\n Handle a discovered Z-Wave accessory - get url to pass into user step.\n\n This flow is triggered by the discovery component.\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 21,
"vocab_size": 21
}
|
https://github.com/home-assistant/core.git
|
|
8 |
all_simple_paths
|
def all_simple_paths(G, source, target, cutoff=None):
if source not in G:
raise nx.NodeNotFound(f"source node {source} not in graph")
if target in G:
targets = {target}
else:
try:
targets = set(target)
except TypeError as err:
raise nx.NodeNotFound(f"target node {target} not in graph") from err
if source in targets:
return _empty_generator()
if cutoff is None:
cutoff = len(G) - 1
if cutoff < 1:
return _empty_generator()
if G.is_multigraph():
return _all_simple_paths_multigraph(G, source, targets, cutoff)
else:
return _all_simple_paths_graph(G, source, targets, cutoff)
|
53f766aa94b5aa5d3f87178418e794c4cc5f77eb
| 15 |
simple_paths.py
| 205 |
Improved documentation for all_simple_paths (#5944)
* Improved documentation for all_simple_paths
Improved the documentation for all_simple_paths.
* Update simple_paths.py
Black code style compliance edits.
| 42,304 | 0 | 188 | 125 | 45 | 177,180 | 76 |
networkx
| 16 |
networkx/algorithms/simple_paths.py
|
Python
| 20 |
{
"docstring": "Generate all simple paths in the graph G from source to target.\n\n A simple path is a path with no repeated nodes.\n\n Parameters\n ----------\n G : NetworkX graph\n\n source : node\n Starting node for path\n\n target : nodes\n Single node or iterable of nodes at which to end path\n\n cutoff : integer, optional\n Depth to stop the search. Only paths of length <= cutoff are returned.\n\n Returns\n -------\n path_generator: generator\n A generator that produces lists of simple paths. If there are no paths\n between the source and target within the given cutoff the generator\n produces no output. If it is possible to traverse the same sequence of\n nodes in multiple ways, namely through parallel edges, then it will be\n returned multiple times (once for each viable edge combination).\n\n Examples\n --------\n This iterator generates lists of nodes::\n\n >>> G = nx.complete_graph(4)\n >>> for path in nx.all_simple_paths(G, source=0, target=3):\n ... print(path)\n ...\n [0, 1, 2, 3]\n [0, 1, 3]\n [0, 2, 1, 3]\n [0, 2, 3]\n [0, 3]\n\n You can generate only those paths that are shorter than a certain\n length by using the `cutoff` keyword argument::\n\n >>> paths = nx.all_simple_paths(G, source=0, target=3, cutoff=2)\n >>> print(list(paths))\n [[0, 1, 3], [0, 2, 3], [0, 3]]\n\n To get each path as the corresponding list of edges, you can use the\n :func:`networkx.utils.pairwise` helper function::\n\n >>> paths = nx.all_simple_paths(G, source=0, target=3)\n >>> for path in map(nx.utils.pairwise, paths):\n ... print(list(path))\n [(0, 1), (1, 2), (2, 3)]\n [(0, 1), (1, 3)]\n [(0, 2), (2, 1), (1, 3)]\n [(0, 2), (2, 3)]\n [(0, 3)]\n\n Pass an iterable of nodes as target to generate all paths ending in any of several nodes::\n\n >>> G = nx.complete_graph(4)\n >>> for path in nx.all_simple_paths(G, source=0, target=[3, 2]):\n ... print(path)\n ...\n [0, 1, 2]\n [0, 1, 2, 3]\n [0, 1, 3]\n [0, 1, 3, 2]\n [0, 2]\n [0, 2, 1, 3]\n [0, 2, 3]\n [0, 3]\n [0, 3, 1, 2]\n [0, 3, 2]\n\n Iterate over each path from the root nodes to the leaf nodes in a\n directed acyclic graph using a functional programming approach::\n\n >>> from itertools import chain\n >>> from itertools import product\n >>> from itertools import starmap\n >>> from functools import partial\n >>>\n >>> chaini = chain.from_iterable\n >>>\n >>> G = nx.DiGraph([(0, 1), (1, 2), (0, 3), (3, 2)])\n >>> roots = (v for v, d in G.in_degree() if d == 0)\n >>> leaves = (v for v, d in G.out_degree() if d == 0)\n >>> all_paths = partial(nx.all_simple_paths, G)\n >>> list(chaini(starmap(all_paths, product(roots, leaves))))\n [[0, 1, 2], [0, 3, 2]]\n\n The same list computed using an iterative approach::\n\n >>> G = nx.DiGraph([(0, 1), (1, 2), (0, 3), (3, 2)])\n >>> roots = (v for v, d in G.in_degree() if d == 0)\n >>> leaves = (v for v, d in G.out_degree() if d == 0)\n >>> all_paths = []\n >>> for root in roots:\n ... for leaf in leaves:\n ... paths = nx.all_simple_paths(G, root, leaf)\n ... all_paths.extend(paths)\n >>> all_paths\n [[0, 1, 2], [0, 3, 2]]\n\n Iterate over each path from the root nodes to the leaf nodes in a\n directed acyclic graph passing all leaves together to avoid unnecessary\n compute::\n\n >>> G = nx.DiGraph([(0, 1), (2, 1), (1, 3), (1, 4)])\n >>> roots = (v for v, d in G.in_degree() if d == 0)\n >>> leaves = [v for v, d in G.out_degree() if d == 0]\n >>> all_paths = []\n >>> for root in roots:\n ... paths = nx.all_simple_paths(G, root, leaves)\n ... all_paths.extend(paths)\n >>> all_paths\n [[0, 1, 3], [0, 1, 4], [2, 1, 3], [2, 1, 4]]\n\n If parallel edges offer multiple ways to traverse a given sequence of\n nodes, this sequence of nodes will be returned multiple times:\n\n >>> G = nx.MultiDiGraph([(0, 1), (0, 1), (1, 2)])\n >>> list(nx.all_simple_paths(G, 0, 2))\n [[0, 1, 2], [0, 1, 2]]\n\n Notes\n -----\n This algorithm uses a modified depth-first search to generate the\n paths [1]_. A single path can be found in $O(V+E)$ time but the\n number of simple paths in a graph can be very large, e.g. $O(n!)$ in\n the complete graph of order $n$.\n\n This function does not check that a path exists between `source` and\n `target`. For large graphs, this may result in very long runtimes.\n Consider using `has_path` to check that a path exists between `source` and\n `target` before calling this function on large graphs.\n\n References\n ----------\n .. [1] R. Sedgewick, \"Algorithms in C, Part 5: Graph Algorithms\",\n Addison Wesley Professional, 3rd ed., 2001.\n\n See Also\n --------\n all_shortest_paths, shortest_path, has_path\n\n ",
"language": "en",
"n_whitespaces": 1450,
"n_words": 741,
"vocab_size": 285
}
|
https://github.com/networkx/networkx.git
|
|
2 |
supports_numpy
|
def supports_numpy(self):
if not self.supports_python():
return False
self.interpreter_exec('console', 'python import numpy; print numpy')
return "module \'numpy\' from" in self._captured.before.decode()
|
159f3667f4772680368cb7b0771c6d5e44416e3c
| 10 |
gdb_support.py
| 69 |
Numba gdb-python extension for printing
This adds support for printing Numba types as their python
equivalents from gdb by using its python extension.
| 39,119 | 0 | 58 | 36 | 18 | 161,988 | 19 |
numba
| 7 |
numba/tests/gdb_support.py
|
Python
| 5 |
{
"docstring": "Returns True if the underlying gdb implementation has NumPy support\n (and by extension Python support) False otherwise",
"language": "en",
"n_whitespaces": 26,
"n_words": 17,
"vocab_size": 17
}
|
https://github.com/numba/numba.git
|
|
3 |
_get_tcl_tk_info
|
def _get_tcl_tk_info():
try:
import tkinter
from _tkinter import TCL_VERSION, TK_VERSION
except ImportError:
# tkinter unavailable
return None, None, None, False
tcl = tkinter.Tcl()
# Query the location of Tcl library/data directory.
tcl_dir = tcl.eval("info library")
# Check if Tcl/Tk is built with multi-threaded support (built with --enable-threads), as indicated by the presence
# of optional `threaded` member in `tcl_platform` array.
try:
tcl.getvar("tcl_platform(threaded)") # Ignore the actual value.
tcl_threaded = True
except tkinter.TclError:
tcl_threaded = False
return tcl_dir, TCL_VERSION, TK_VERSION, tcl_threaded
# Populate the variables. If `tkinter` is unavailable, the values are set to `None` or `False`.
(
tcl_dir,
tcl_version,
tk_version,
tcl_threaded,
) = _get_tcl_tk_info()
|
2b2559af1c7790596e7b2040f48e56baef608f9d
| 10 |
tcl_tk.py
| 141 |
hookutils: tcl/tk: port to PyInstaller.isolated framework
| 77,583 | 0 | 196 | 68 | 76 | 264,062 | 104 |
pyinstaller
| 15 |
PyInstaller/utils/hooks/tcl_tk.py
|
Python
| 14 |
{
"docstring": "\n Isolated-subprocess helper to retrieve the basic Tcl/Tk information:\n - tcl_dir = path to the Tcl library/data directory.\n - tcl_version = Tcl version\n - tk_version = Tk version\n - tcl_theaded = boolean indicating whether Tcl/Tk is built with multi-threading support.\n ",
"language": "en",
"n_whitespaces": 62,
"n_words": 39,
"vocab_size": 28
}
|
https://github.com/pyinstaller/pyinstaller.git
|
|
1 |
lead_query
|
def lead_query(doctype, txt, searchfield, start, page_len, filters):
fields = get_fields("Lead", ["name", "lead_name", "company_name"])
return frappe.db.sql(
.format(
**{"fields": ", ".join(fields), "key": searchfield, "mcond": get_match_cond(doctype)}
),
{"txt": "%%%s%%" % txt, "_txt": txt.replace("%", ""), "start": start, "page_len": page_len},
)
# searches for customer
@frappe.whitelist()
@frappe.validate_and_sanitize_search_inputs
|
494bd9ef78313436f0424b918f200dab8fc7c20b
|
@frappe.whitelist()
@frappe.validate_and_sanitize_search_inputs
| 15 |
queries.py
| 178 |
style: format code with black
| 13,968 | 1 | 31 | 92 | 39 | 65,646 | 42 |
erpnext
| 18 |
erpnext/controllers/queries.py
|
Python
| 21 |
{
"docstring": "select {fields} from `tabLead`\n\t\twhere docstatus < 2\n\t\t\tand ifnull(status, '') != 'Converted'\n\t\t\tand ({key} like %(txt)s\n\t\t\t\tor lead_name like %(txt)s\n\t\t\t\tor company_name like %(txt)s)\n\t\t\t{mcond}\n\t\torder by\n\t\t\tif(locate(%(_txt)s, name), locate(%(_txt)s, name), 99999),\n\t\t\tif(locate(%(_txt)s, lead_name), locate(%(_txt)s, lead_name), 99999),\n\t\t\tif(locate(%(_txt)s, company_name), locate(%(_txt)s, company_name), 99999),\n\t\t\tidx desc,\n\t\t\tname, lead_name\n\t\tlimit %(start)s, %(page_len)s",
"language": "en",
"n_whitespaces": 36,
"n_words": 50,
"vocab_size": 35
}
|
https://github.com/frappe/erpnext.git
|
3 |
update_work_queue_id_from_name
|
async def update_work_queue_id_from_name(self) -> bool:
if not self.work_queue_name:
raise ValueError("No work queue name provided.")
try:
work_queue = await self.client.read_work_queue_by_name(self.work_queue_name)
self.work_queue_id = work_queue.id
except httpx.HTTPStatusError:
self.logger.warn(f'No work queue found named "{self.work_queue_name}"')
self.work_queue_id = None
|
ca11b933b9187a0e1bf9008315eeec2155815ab3
| 13 |
agent.py
| 111 |
Support work_queue_name for agent
| 11,054 | 0 | 116 | 60 | 28 | 54,421 | 33 |
prefect
| 14 |
src/prefect/agent.py
|
Python
| 15 |
{
"docstring": "\n For agents that were provided a work_queue_name, rather than a work_queue_id,\n this function will retrieve the work queue ID corresponding to that name and assign\n it to `work_queue_id`. If no matching queue is found, a warning is logged\n and `work_queue_id = None`.\n ",
"language": "en",
"n_whitespaces": 78,
"n_words": 42,
"vocab_size": 35
}
|
https://github.com/PrefectHQ/prefect.git
|
|
2 |
on_chord_header_start
|
def on_chord_header_start(self, chord, **header) -> dict:
if not isinstance(chord.tasks, group):
chord.tasks = group(chord.tasks)
return self.on_group_start(chord.tasks, **header)
|
1c4ff33bd22cf94e297bd6449a06b5a30c2c1fbc
| 11 |
canvas.py
| 73 |
Canvas Header Stamping (#7384)
* Strip down the header-stamping PR to the basics.
* Serialize groups.
* Add groups to result backend meta data.
* Fix spelling mistake.
* Revert changes to canvas.py
* Revert changes to app/base.py
* Add stamping implementation to canvas.py
* Send task to AMQP with groups.
* Successfully pass single group to result.
* _freeze_gid dict merge fixed
* First draft of the visitor API.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* OptionsVisitor created
* Fixed canvas.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test for simple test for chord and fixed chord implementation
* Changed _IMMUTABLE_OPTIONS
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed list order
* Fixed tests (stamp test and chord test), fixed order in groups
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixed lint and elements
* Changed implementation of stamp API and fix lint
* Added documentation to Stamping API. Added chord with groups test
* Implemented stamping inside replace and added test for an implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Splitted into subtests
* Group stamping rollback
* group.id is None fixed
* Added integration test
* Added integration test
* apply_async fixed
* Integration test and test_chord fixed
* Lint fixed
* chord freeze fixed
* Minor fixes.
* Chain apply_async fixed and tests fixed
* lint fixed
* Added integration test for chord
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* type -> isinstance
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Redo header stamping (#7341)
* _freeze_gid dict merge fixed
* OptionsVisitor created
* Fixed canvas.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test for simple test for chord and fixed chord implementation
* Changed _IMMUTABLE_OPTIONS
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed list order
* Fixed tests (stamp test and chord test), fixed order in groups
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixed lint and elements
* Changed implementation of stamp API and fix lint
* Added documentation to Stamping API. Added chord with groups test
* Implemented stamping inside replace and added test for an implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Splitted into subtests
* Group stamping rollback
* group.id is None fixed
* Added integration test
* Added integration test
* apply_async fixed
* Integration test and test_chord fixed
* Lint fixed
* chord freeze fixed
* Minor fixes.
* Chain apply_async fixed and tests fixed
* lint fixed
* Added integration test for chord
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* type -> isinstance
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Omer Katz <omer.katz@omerkatz.com>
* Added stamping mechanism
* Manual stamping improved
* flake8 fixed
* Added subtests
* Add comma.
* Moved groups to stamps
* Fixed chord and added test for that
* Strip down the header-stamping PR to the basics.
* Serialize groups.
* Add groups to result backend meta data.
* Fix spelling mistake.
* Revert changes to canvas.py
* Revert changes to app/base.py
* Add stamping implementation to canvas.py
* Send task to AMQP with groups.
* Successfully pass single group to result.
* _freeze_gid dict merge fixed
* First draft of the visitor API.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* OptionsVisitor created
* Fixed canvas.py
* Added test for simple test for chord and fixed chord implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Changed _IMMUTABLE_OPTIONS
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed list order
* Fixed tests (stamp test and chord test), fixed order in groups
* Fixed lint and elements
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Changed implementation of stamp API and fix lint
* Added documentation to Stamping API. Added chord with groups test
* Implemented stamping inside replace and added test for an implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Splitted into subtests
* Group stamping rollback
* group.id is None fixed
* Added integration test
* Added integration test
* apply_async fixed
* Integration test and test_chord fixed
* Lint fixed
* chord freeze fixed
* Minor fixes.
* Chain apply_async fixed and tests fixed
* lint fixed
* Added integration test for chord
* type -> isinstance
* Added stamping mechanism
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Manual stamping improved
* fail_ci_if_error uncommented
* flake8 fixed
* Added subtests
* Changes
* Add comma.
* Fixed chord and added test for that
* canvas.py fixed
* Test chord.py fixed
* Fixed stamped_headers
* collections import fixed
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* collections import fixed
* Update celery/backends/base.py
Co-authored-by: Omer Katz <omer.katz@omerkatz.com>
* ampq.py fixed
* Refrain from using deprecated import path.
* Fix test_complex_chain regression.
Whenever we stamp a group we need to freeze it first if it wasn't already frozen.
Somewhere along the line, the group id changed because we were freezing twice.
This commit places the stamping operation after preparing the chain's steps which fixes the problem somehow.
We don't know why yet.
* Fixed integration tests
* Fixed integration tests
* Fixed integration tests
* Fixed integration tests
* Fixed issues with maybe_list. Add documentation
* Fixed potential issue with integration tests
* Fixed issues with _regen
* Fixed issues with _regen
* Fixed test_generator issues
* Fixed _regen stamping
* Fixed _regen stamping
* Fixed TimeOut issue
* Fixed TimeOut issue
* Fixed TimeOut issue
* Update docs/userguide/canvas.rst
Co-authored-by: Omer Katz <omer.katz@omerkatz.com>
* Fixed Couchbase
* Better stamping intro
* New GroupVisitor example
* Adjust documentation.
Co-authored-by: Naomi Elstein <naomi.els@omerkatz.com>
Co-authored-by: Omer Katz <omer.katz@omerkatz.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Asif Saif Uddin <auvipy@gmail.com>
Co-authored-by: Omer Katz <omer.katz@kcg.tech>
| 52,191 | 0 | 48 | 46 | 15 | 208,066 | 16 |
celery
| 9 |
celery/canvas.py
|
Python
| 12 |
{
"docstring": "Method that is called on сhord header stamping start.\n\n Arguments:\n chord (chord): chord that is stamped.\n headers (Dict): Partial headers that could be merged with existing headers.\n Returns:\n Dict: headers to update.\n ",
"language": "en",
"n_whitespaces": 92,
"n_words": 32,
"vocab_size": 26
}
|
https://github.com/celery/celery.git
|
|
1 |
test_collect_commands
|
async def test_collect_commands():
with taddons.context() as tctx:
c = command.CommandManager(tctx.master)
a = TCmds()
c.collect_commands(a)
assert "empty" in c.commands
a = TypeErrAddon()
c.collect_commands(a)
await tctx.master.await_log("Could not load")
|
b3587b52b25077f68116b9852b041d33e7fc6601
| 11 |
test_command.py
| 113 |
make it black!
| 73,904 | 0 | 81 | 61 | 22 | 251,966 | 26 |
mitmproxy
| 14 |
test/mitmproxy/test_command.py
|
Python
| 9 |
{
"docstring": "\n This tests for errors thrown by getattr() or __getattr__ implementations\n that return an object for .command_name.\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 16,
"vocab_size": 15
}
|
https://github.com/mitmproxy/mitmproxy.git
|
|
7 |
mask
|
def mask(self, row_labels, col_labels):
logger = get_logger()
logger.debug(f"ENTER::Partition.mask::{self._identity}")
new_obj = super().mask(row_labels, col_labels)
if isinstance(row_labels, slice) and unidist.is_object_ref(self._length_cache):
if row_labels == slice(None):
# fast path - full axis take
new_obj._length_cache = self._length_cache
else:
new_obj._length_cache = compute_sliced_len.remote(
row_labels, self._length_cache
)
if isinstance(col_labels, slice) and unidist.is_object_ref(self._width_cache):
if col_labels == slice(None):
# fast path - full axis take
new_obj._width_cache = self._width_cache
else:
new_obj._width_cache = compute_sliced_len.remote(
col_labels, self._width_cache
)
logger.debug(f"EXIT::Partition.mask::{self._identity}")
return new_obj
|
193505fdf0c984743397ba3df56262f30aee13a8
| 14 |
partition.py
| 238 |
FEAT-#5053: Add pandas on unidist execution with MPI backend (#5059)
Signed-off-by: Igoshev, Iaroslav <iaroslav.igoshev@intel.com>
| 36,272 | 0 | 325 | 139 | 39 | 155,180 | 67 |
modin
| 18 |
modin/core/execution/unidist/implementations/pandas_on_unidist/partitioning/partition.py
|
Python
| 20 |
{
"docstring": "\n Lazily create a mask that extracts the indices provided.\n\n Parameters\n ----------\n row_labels : list-like, slice or label\n The row labels for the rows to extract.\n col_labels : list-like, slice or label\n The column labels for the columns to extract.\n\n Returns\n -------\n PandasOnUnidistDataframePartition\n A new ``PandasOnUnidistDataframePartition`` object.\n ",
"language": "en",
"n_whitespaces": 143,
"n_words": 46,
"vocab_size": 34
}
|
https://github.com/modin-project/modin.git
|
|
1 |
mixin_gateway_parser
|
def mixin_gateway_parser(parser):
gp = add_arg_group(parser, title='Gateway')
_add_host(gp)
_add_proxy(gp)
gp.add_argument(
'--uses',
type=str,
default=None,
# TODO: add Jina Hub Gateway
help=,
)
gp.add_argument(
'--uses-with',
action=KVAppendAction,
metavar='KEY: VALUE',
nargs='*',
help=,
)
gp.add_argument(
'--py-modules',
type=str,
nargs='*',
metavar='PATH',
help=,
)
mixin_base_runtime_parser(gp)
gp.add_argument(
'--port-expose',
type=int,
dest='port',
default=helper.random_port(),
help='The port that the gateway exposes for clients for GRPC connections.',
)
parser.add_argument(
'--graph-description',
type=str,
help='Routing graph for the gateway',
default='{}',
)
parser.add_argument(
'--graph-conditions',
type=str,
help='Dictionary stating which filtering conditions each Executor in the graph requires to receive Documents.',
default='{}',
)
parser.add_argument(
'--deployments-addresses',
type=str,
help='dictionary JSON with the input addresses of each Deployment',
default='{}',
)
parser.add_argument(
'--deployments-disable-reduce',
type=str,
help='list JSON disabling the built-in merging mechanism for each Deployment listed',
default='[]',
)
gp.add_argument(
'--compression',
choices=['NoCompression', 'Deflate', 'Gzip'],
help='The compression mechanism used when sending requests from the Head to the WorkerRuntimes. For more details, '
'check https://grpc.github.io/grpc/python/grpc.html#compression.',
)
gp.add_argument(
'--timeout-send',
type=int,
default=None,
help='The timeout in milliseconds used when sending data requests to Executors, -1 means no timeout, disabled by default',
)
|
cdaf7f87ececf9e13b517379ca183b17f0d7b007
| 10 |
remote.py
| 404 |
feat: allow passing custom gateway in Flow (#5189)
| 2,555 | 0 | 543 | 237 | 108 | 13,120 | 160 |
jina
| 22 |
jina/parsers/orchestrate/runtimes/remote.py
|
Python
| 87 |
{
"docstring": "Add the options for remote expose at the Gateway\n :param parser: the parser\n \n The config of the gateway, it could be one of the followings:\n * the string literal of an Gateway class name\n * a Gateway YAML file (.yml, .yaml, .jaml)\n * a docker image (must start with `docker://`)\n * the string literal of a YAML config (must start with `!` or `jtype: `)\n * the string literal of a JSON config\n\n When use it under Python, one can use the following values additionally:\n - a Python dict that represents the config\n - a text file stream has `.read()` interface\n \n Dictionary of keyword arguments that will override the `with` configuration in `uses`\n \nThe customized python modules need to be imported before loading the gateway\n\nNote that the recommended way is to only import a single module - a simple python file, if your\ngateway can be defined in a single file, or an ``__init__.py`` file if you have multiple files,\nwhich should be structured as a python package.\n",
"language": "en",
"n_whitespaces": 249,
"n_words": 169,
"vocab_size": 102
}
|
https://github.com/jina-ai/jina.git
|
|
1 |
test_update_next_event
|
async def test_update_next_event(hass, calls, fake_schedule):
event_data1 = fake_schedule.create_event(
start=datetime.datetime.fromisoformat("2022-04-19 11:00:00+00:00"),
end=datetime.datetime.fromisoformat("2022-04-19 11:15:00+00:00"),
)
await create_automation(hass, EVENT_START)
# No calls before event start
await fake_schedule.fire_until(
datetime.datetime.fromisoformat("2022-04-19 10:45:00+00:00")
)
assert len(calls()) == 0
# Create a new event between now and when the event fires
event_data2 = fake_schedule.create_event(
start=datetime.datetime.fromisoformat("2022-04-19 10:55:00+00:00"),
end=datetime.datetime.fromisoformat("2022-04-19 11:05:00+00:00"),
)
# Advance past the end of the events
await fake_schedule.fire_until(
datetime.datetime.fromisoformat("2022-04-19 11:30:00+00:00")
)
assert calls() == [
{
"platform": "calendar",
"event": EVENT_START,
"calendar_event": event_data2,
},
{
"platform": "calendar",
"event": EVENT_START,
"calendar_event": event_data1,
},
]
|
a2c74b978664b627bafc4a43b26aa2be7b15b229
| 12 |
test_trigger.py
| 259 |
Add initial implementation of a calendar trigger (#68674)
* Add initial implementation of calendar trigger
This is an initial implementation of a calendar trigger, that supports
triggering on calendar start time.
See architecture proposal in:
https://github.com/home-assistant/architecture/discussions/700
* Address reviewer feedback
* Use f-strings for all tests
* Apply suggestions from code review
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Remove logging f-strings, and move to main code
* Remove mypy ignore
* Apply suggestions from code review
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Update calendar triggers to use new calendar data model
* Update tests/components/calendar/test_trigger.py
Co-authored-by: Franck Nijhof <frenck@frenck.nl>
* Rewrite tests using freezegun
Rewrite tests using freezegun and improve edge case handling, and use utc consistently for all alarms.
* Update homeassistant/components/calendar/trigger.py
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Update homeassistant/components/calendar/trigger.py
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
* Increase test coverage based on pr feedback
Co-authored-by: Martin Hjelmare <marhje52@gmail.com>
Co-authored-by: Franck Nijhof <frenck@frenck.nl>
| 95,806 | 0 | 269 | 149 | 59 | 296,832 | 85 |
core
| 15 |
tests/components/calendar/test_trigger.py
|
Python
| 29 |
{
"docstring": "Test detection of a new event after initial trigger is setup.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
}
|
https://github.com/home-assistant/core.git
|
|
1 |
encode
|
def encode(self, bboxes, gt_bboxes):
bboxes = get_box_tensor(bboxes)
gt_bboxes = get_box_tensor(gt_bboxes)
assert bboxes.size(0) == gt_bboxes.size(0)
assert bboxes.size(-1) == gt_bboxes.size(-1) == 4
encoded_bboxes = bbox2delta(bboxes, gt_bboxes, self.means, self.stds)
return encoded_bboxes
|
d915740fa8228cf57741b27d9e5d66e358456b8e
| 9 |
delta_xywh_bbox_coder.py
| 112 |
[Refactor] Refactor anchor head and base head with boxlist (#8625)
* Refactor anchor head
* Update
* Update
* Update
* Add a series of boxes tools
* Fix box type to support n x box_dim boxes
* revert box type changes
* Add docstring
* refactor retina_head
* Update
* Update
* Fix comments
* modify docstring of coder and ioucalculator
* Replace with_boxlist with use_box_type
| 70,861 | 0 | 77 | 72 | 22 | 245,715 | 28 |
mmdetection
| 10 |
mmdet/models/task_modules/coders/delta_xywh_bbox_coder.py
|
Python
| 7 |
{
"docstring": "Get box regression transformation deltas that can be used to\n transform the ``bboxes`` into the ``gt_bboxes``.\n\n Args:\n bboxes (torch.Tensor or :obj:`BaseBoxes`): Source boxes,\n e.g., object proposals.\n gt_bboxes (torch.Tensor or :obj:`BaseBoxes`): Target of the\n transformation, e.g., ground-truth boxes.\n\n Returns:\n torch.Tensor: Box transformation deltas\n ",
"language": "en",
"n_whitespaces": 133,
"n_words": 42,
"vocab_size": 34
}
|
https://github.com/open-mmlab/mmdetection.git
|
|
5 |
create_perspective_transform
|
def create_perspective_transform(src, dst, round=False, splat_args=False):
try:
transform_matrix = create_perspective_transform_matrix(src, dst)
error = None
except np.linalg.LinAlgError as e:
transform_matrix = np.identity(3, dtype=np.float)
error = "invalid input quads (%s and %s): %s" %(src, dst, e)
error = error.replace("\n", "")
to_eval = "def perspective_transform(%s):\n" %(
splat_args and "*pt" or "pt",
)
to_eval += " res = np.dot(transform_matrix, ((pt[0], ), (pt[1], ), (1, )))\n"
to_eval += " res = res / res[2]\n"
if round:
to_eval += " return (int(round(res[0][0])), int(round(res[1][0])))\n"
else:
to_eval += " return (res[0][0], res[1][0])\n"
locals = {
"transform_matrix": transform_matrix,
}
locals.update(globals())
exec(to_eval,locals,locals)
res = locals["perspective_transform"]
res.matrix = transform_matrix
res.error = error
return res
|
7375ee364e0df2a417f92593e09557f1b2a3575a
| 13 |
align2stylegan.py
| 254 |
initialize ostec
| 1,631 | 0 | 220 | 144 | 67 | 9,551 | 102 |
insightface
| 23 |
reconstruction/ostec/utils/align2stylegan.py
|
Python
| 26 |
{
"docstring": " Returns a function which will transform points in quadrilateral\n ``src`` to the corresponding points on quadrilateral ``dst``::\n\n >>> transform = create_perspective_transform(\n ... [(0, 0), (10, 0), (10, 10), (0, 10)],\n ... [(50, 50), (100, 50), (100, 100), (50, 100)],\n ... )\n >>> transform((5, 5))\n (74.99999999999639, 74.999999999999957)\n\n If ``round`` is ``True`` then points will be rounded to the nearest\n integer and integer values will be returned.\n\n >>> transform = create_perspective_transform(\n ... [(0, 0), (10, 0), (10, 10), (0, 10)],\n ... [(50, 50), (100, 50), (100, 100), (50, 100)],\n ... round=True,\n ... )\n >>> transform((5, 5))\n (75, 75)\n\n If ``splat_args`` is ``True`` the function will accept two arguments\n instead of a tuple.\n\n >>> transform = create_perspective_transform(\n ... [(0, 0), (10, 0), (10, 10), (0, 10)],\n ... [(50, 50), (100, 50), (100, 100), (50, 100)],\n ... splat_args=True,\n ... )\n >>> transform(5, 5)\n (74.99999999999639, 74.999999999999957)\n\n If the input values yield an invalid transformation matrix an identity\n function will be returned and the ``error`` attribute will be set to a\n description of the error::\n\n >>> tranform = create_perspective_transform(\n ... np.zeros((4, 2)),\n ... np.zeros((4, 2)),\n ... )\n >>> transform((5, 5))\n (5.0, 5.0)\n >>> transform.error\n 'invalid input quads (...): Singular matrix\n ",
"language": "en",
"n_whitespaces": 606,
"n_words": 194,
"vocab_size": 84
}
|
https://github.com/deepinsight/insightface.git
|
|
1 |
limit
|
def limit(self, *args):
return self.applyfunc(lambda x: x.limit(*args))
# https://github.com/sympy/sympy/pull/12854
|
59d22b6bb7287613d598611027f640d068ca5748
| 11 |
matrices.py
| 44 |
Moved imports to higher level
| 47,891 | 0 | 22 | 25 | 9 | 196,391 | 9 |
sympy
| 5 |
sympy/matrices/matrices.py
|
Python
| 2 |
{
"docstring": "Calculate the limit of each element in the matrix.\n ``args`` will be passed to the ``limit`` function.\n\n Examples\n ========\n\n >>> from sympy import Matrix\n >>> from sympy.abc import x, y\n >>> M = Matrix([[x, y], [1, 0]])\n >>> M.limit(x, 2)\n Matrix([\n [2, y],\n [1, 0]])\n\n See Also\n ========\n\n integrate\n diff\n ",
"language": "en",
"n_whitespaces": 155,
"n_words": 50,
"vocab_size": 39
}
|
https://github.com/sympy/sympy.git
|
|
4 |
difference
|
def difference(self, other, sort=None):
self._validate_sort_keyword(sort)
self._assert_can_do_setop(other)
other, result_name = self._convert_can_do_setop(other)
# Note: we do NOT call _deprecate_dti_setop here, as there
# is no requirement that .difference be commutative, so it does
# not cast to object.
if self.equals(other):
# Note: we do not (yet) sort even if sort=None GH#24959
return self[:0].rename(result_name)
if len(other) == 0:
# Note: we do not (yet) sort even if sort=None GH#24959
return self.rename(result_name)
if not self._should_compare(other):
# Nothing matches -> difference is everything
return self.rename(result_name)
result = self._difference(other, sort=sort)
return self._wrap_difference_result(other, result)
|
4e034ec0006b6c05160ce67ea1420ce28f295c91
| 11 |
base.py
| 173 |
DEPR: DatetimeIndex.intersection with mixed timezones cast to UTC, not object (#45357)
* DEPR: DatetimeIndex.intersection with mixed timezones cast to UTC instead of object
* GH ref
* mypy fixup
Co-authored-by: Jeff Reback <jeff@reback.net>
| 39,453 | 0 | 239 | 105 | 57 | 163,521 | 87 |
pandas
| 15 |
pandas/core/indexes/base.py
|
Python
| 12 |
{
"docstring": "\n Return a new Index with elements of index not in `other`.\n\n This is the set difference of two Index objects.\n\n Parameters\n ----------\n other : Index or array-like\n sort : False or None, default None\n Whether to sort the resulting index. By default, the\n values are attempted to be sorted, but any TypeError from\n incomparable elements is caught by pandas.\n\n * None : Attempt to sort the result, but catch any TypeErrors\n from comparing incomparable elements.\n * False : Do not sort the result.\n\n Returns\n -------\n difference : Index\n\n Examples\n --------\n >>> idx1 = pd.Index([2, 1, 3, 4])\n >>> idx2 = pd.Index([3, 4, 5, 6])\n >>> idx1.difference(idx2)\n Int64Index([1, 2], dtype='int64')\n >>> idx1.difference(idx2, sort=False)\n Int64Index([2, 1], dtype='int64')\n ",
"language": "en",
"n_whitespaces": 310,
"n_words": 115,
"vocab_size": 81
}
|
https://github.com/pandas-dev/pandas.git
|
|
1 |
_on_frame_load_finished
|
def _on_frame_load_finished(self):
page = self._widget.page()
assert isinstance(page, webpage.BrowserPage), page
self._on_load_finished(not page.error_occurred)
|
a20bb67a878b2e68abf8268c1b0a27f018d01352
| 9 |
webkittab.py
| 58 |
mypy: Upgrade to PyQt5-stubs 5.15.6.0
For some unknown reason, those new stubs cause a *lot* of things now to be
checked by mypy which formerly probably got skipped due to Any being implied
somewhere.
The stubs themselves mainly improved, with a couple of regressions too.
In total, there were some 337 (!) new mypy errors. This commit fixes almost all
of them, and the next commit improves a fix to get things down to 0 errors
again.
Overview of the changes:
==== qutebrowser/app.py
- Drop type ignore due to improved stubs.
==== qutebrowser/browser/browsertab.py
- Specify the type of _widget members more closely than just QWidget.
This is debatable: I suppose the abstract stuff shouldn't need to know
anything about the concrete backends at all. But it seems like we cut some
corners when initially implementing things, and put some code in browsertab.py
just because the APIs of both backends happened to be compatible. Perhaps
something to reconsider once we drop QtWebKit and hopefully implement a dummy
backend.
- Add an additional assertion in AbstractAction.run_string. This is already
covered by the isinstance(member, self.action_base) above it, but that's too
dynamic for mypy to understand.
- Fix the return type of AbstractScroller.pos_px, which is a QPoint (with x
and y components), not a single int.
- Fix the return type of AbstractScroller.pos_perc, which is a Tuple (with x
and y components), not a single int.
- Fix the argument types of AbstractScroller.to_perc, as it's possible to pass
fractional percentages too.
- Specify the type for AbstractHistoryPrivate._history. See above (_widget) re
this being debatable.
- Fix the return type of AbstractTabPrivate.event_target(), which can be None
(see #3888).
- Fix the return type of AbstractTabPrivate.run_js_sync, which is Any (the JS
return value), not None.
- Fix the argument type for AbstractTabPrivate.toggle_inspector: position can
be None to use the last used position.
- Declare the type of sub-objects of AbstractTab.
- Fix the return value of AbstractTab.icon(), which is the QIcon, not None.
==== qutebrowser/browser/commands.py
- Make sure the active window is a MainWindow (with a .win_id attribute).
==== qutebrowser/browser/downloadview.py
- Add _model() which makes sure that self.model() is a DownloadModel, not None
or any other model. This is needed because other methods access a variety of
custom attributes on it, e.g. last_index().
==== qutebrowser/browser/greasemonkey.py
- Add an ignore for AbstractDownload.requested_url which we patch onto the
downloads. Probably would be nicer to add it as a proper attribute which always
gets set by the DownloadManager.
==== qutebrowser/browser/hints.py
- Remove type ignores for QUrl.toString().
- Add a new type ignore for combining different URL flags (which works, but is
not exactly type safe... still probably a regression in the stubs).
- Make sure the things we get back from self._get_keyparser are what we actually
expect. Probably should introduce a TypedDict (and/or overloads for
_get_keyparser with typing.Literal) to teach mypy about the exact return value.
See #7098.
This is needed because we access Hint/NormalKeyParser-specific attributes such
as .set_inhibited_timout() or .update_bindings().
==== qutebrowser/browser/inspector.py
- Similar changes than in browsertab.py to make some types where we share API
(e.g. .setPage()) more concrete. Didn't work out unfortunately, see next
commit.
==== qutebrowser/browser/network/pac.py
- Remove now unneeded type ignore for signal.
==== qutebrowser/browser/qtnetworkdownloads.py
- Make sure that downloads is a qtnetworkdownloads.DownloadItem (rather than an
AbstractDownload), so that we can call ._uses_nam() on it.
==== qutebrowser/browser/qutescheme.py
- Remove now unneeded type ignore for QUrl flags.
==== qutebrowser/browser/urlmarks.py
- Specify the type of UrlMarkManager._lineparser, as those only get initialized
in _init_lineparser of subclasses, so mypy doesn't know it's supposed to exist.
==== qutebrowser/browser/webelem.py
- New casts to turn single KeyboardModifier (enum) entries into
KeyboardModifiers (flags). Might not be needed anymore with Qt 6.
- With that, casting the final value is now unneeded.
==== qutebrowser/browser/webengine/notification.py
- Remove now unneeded type ignore for signal.
- Make sure the self.sender() we get in HerbeNotificationAdapter._on_finished()
is a QProcess, not just any QObject.
==== qutebrowser/browser/webengine/webenginedownloads.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/browser/webengine/webengineelem.py
- Specify the type of WebEngineElement._tab.
- Remove now unneeded type ignore for mixed flags.
==== qutebrowser/browser/webengine/webengineinspector.py
- See changes to inspector.py and next commit.
- Remove now unneeded type ignore for signal.
==== qutebrowser/browser/webengine/webenginequtescheme.py
- Remove now unneeded type ignore for mixed flags.
==== qutebrowser/browser/webengine/webenginesettings.py
- Ignore access of .setter attribute which we patch onto QWebEngineProfile.
Would be nice to have a subclass or wrapper-class instead.
==== qutebrowser/browser/webengine/webenginetab.py
- Specified the type of _widget members more closely than just QWidget.
See browsertab.py changes for details.
- Remove some now-unneeded type ignores for creating FindFlags.
- Specify more concrete types for WebEngineTab members where we actually need to
access WebEngine-specific attributes.
- Make sure the page we get is our custom WebEnginePage subclass, not just any
QWebEnginePage. This is needed because we access custom attributes on it.
==== qutebrowser/browser/webengine/webview.py
- Make sure the page we get is our custom WebEnginePage subclass, not just any
QWebEnginePage. This is needed because we access custom attributes on it.
==== qutebrowser/browser/webkit/network/networkreply.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/browser/webkit/webkitinspector.py
- See changes to inspector.py and next commit.
==== qutebrowser/browser/webkit/webkittab.py
- Specify the type of _widget members more closely than just QWidget.
See browsertab.py changes for details.
- Add a type ignore for WebKitAction because our workaround needs to
treat them as ints (which is allowed by PyQt, even if not type-safe).
- Add new ignores for findText calls: The text is a QString and can be None; the
flags are valid despite mypy thinking they aren't (stubs regression?).
- Specify the type for WebKitHistoryPrivate._history, because we access
WebKit-specific attributes. See above (_widget) re this being debatable.
- Make mypy aware that .currentFrame() and .frameAt() can return None (stubs
regression?).
- Make sure the .page() and .page().networkAccessManager() are our subclasses
rather than the more generic QtWebKit objects, as we use custom attributes.
- Add new type ignores for signals (stubs regression!)
==== qutebrowser/browser/webkit/webpage.py
- Make sure the .networkAccessManager() is our subclass rather than the more
generic QtWebKit object, as we use custom attributes.
- Replace a cast by a type ignore. The cast didn't work anymore.
==== qutebrowser/browser/webkit/webview.py
- Make sure the .page() is our subclass rather than the more generic QtWebKit
object, as we use custom attributes.
==== qutebrowser/commands/userscripts.py
- Remove now unneeded type ignore for signal.
==== qutebrowser/completion/completer.py
- Add a new _completion() getter (which ensures it actually gets the completion
view) rather than accessing the .parent() directly (which could be any QObject).
==== qutebrowser/completion/completiondelegate.py
- Make sure self.parent() is a CompletionView (no helper method as there is only
one instance).
- Remove a now-unneeded type ignore for adding QSizes.
==== qutebrowser/completion/completionwidget.py
- Add a ._model() getter which ensures that we get a CompletionModel (with
custom attributes) rather than Qt's .model() which can be any QAbstractItemModel
(or None).
- Removed a now-unneeded type ignore for OR-ing flags.
==== qutebrowser/completion/models/completionmodel.py
- Remove now unneeded type ignores for signals.
- Ignore a complaint about .set_pattern() not being defined. Completion
categories don't share any common parent class, so it would be good to introduce
a typing.Protocol for this. See #7098.
==== qutebrowser/components/misccommands.py
- Removed a now-unneeded type ignore for OR-ing flags.
==== qutebrowser/components/readlinecommands.py
- Make sure QApplication.instance() is a QApplication (and not just a
QCoreApplication). This includes the former "not None" check.
==== qutebrowser/components/scrollcommands.py
- Add basic annotation for "funcs" dict. Could have a callable protocol to
specify it needs a count kwarg, see #7098.
==== qutebrowser/config/stylesheet.py
- Correctly specify that stylesheet apply to QWidgets, not any QObject.
- Ignore an attr-defined for obj.STYLESHEET. Perhaps could somehow teach mypy
about this with overloads and protocols (stylesheet for set_register being None
=> STYLESHEET needs to be defined, otherwise anything goes), but perhaps not
worth the troble. See #7098.
==== qutebrowser/keyinput/keyutils.py
- Remove some now-unneeded type ignores and add a cast for using a single enum
value as flags. Might need to look at this again with Qt 6 support.
==== qutebrowser/keyinput/modeman.py
- Add a FIXME for using a TypedDict, see comments for hints.py above.
==== qutebrowser/mainwindow/mainwindow.py
- Remove now-unneeded type ignores for calling with OR-ed flags.
- Improve where we cast from WindowType to WindowFlags, no int needed
- Use new .tab_bar() getter, see below.
==== qutebrowser/mainwindow/prompt.py
- Remove now-unneeded type ignores for calling with OR-ed flags.
==== qutebrowser/mainwindow/statusbar/bar.py
- Adjust type ignores around @pyqtProperty. The fact one is still needed seems
like a stub regression.
==== qutebrowser/mainwindow/statusbar/command.py
- Fix type for setText() override (from QLineEdit): text can be None
(QString in C++).
==== qutebrowser/mainwindow/statusbar/url.py
- Adjust type ignores around @pyqtProperty. The fact one is still needed seems
like a stub regression.
==== qutebrowser/mainwindow/tabbedbrowser.py
- Specify that TabDeque manages browser tabs, not any QWidgets. It accesses
AbstractTab-specific attributes.
- Make sure that the .tabBar() we get is a tabwidget.TabBar, as we access
.maybe_hide.
- Fix the annotations for stored marks: Scroll positions are a QPoint, not int.
- Add _current_tab() and _tab_by_idx() wrappers for .currentWidget() and
.widget(), which ensures that the return values are valid AbstractTabs (or None
for _tab_by_idx). This is needed because we access AbstractTab-specific
attributes.
- For some places, where the tab can be None, continue using .currentTab() but
add asserts.
- Remove some now-unneeded [unreachable] ignores, as mypy knows about the None
possibility now.
==== qutebrowser/mainwindow/tabwidget.py
- Add new tab_bar() and _tab_by_idx() helpers which check that the .tabBar() and
.widget() are of type TabBar and AbstractTab, respectively.
- Add additional assertions where we expect ._tab_by_idx() to never be None.
- Remove dead code in get_tab_fields for handling a None y scroll position. I
was unable to find any place in the code where this could be set to None.
- Remove some now-unneeded type ignores and casts, as mypy now knows that
_type_by_idx() could be None.
- Work around a strange instance where mypy complains about not being able to
find the type of TabBar.drag_in_progress from TabWidget._toggle_visibility,
despite it clearly being shown as a bool *inside* that class without any
annotation.
- Add a ._tab_widget() getter in TabBar which ensures that the .parent() is in
fact a TabWidget.
==== qutebrowser/misc/crashsignal.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/misc/editor.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/misc/ipc.py
- Remove now unneeded type ignores for signals.
- Add new type ignores for .error() which is both a signal and a getter
(stub regression?). Won't be relevant for Qt 6 anymore, as the signal was
renamed to errorOccurred in 5.15.
==== qutebrowser/misc/objects.py
- Make sure mypy knows that objects.app is our custom Application (with custom
attributes) rather than any QApplication.
==== qutebrowser/utils/objreg.py
- Ignore attr-defined for .win_id attributes. Maybe could add a typing.Protocol,
but ideally, the whole objreg stuff should die one day anyways.
==== tests/unit/completion/test_completer.py
- Make CompletionWidgetStub inherit from CompletionView so that it passes the
new isinstance() asserts in completer.py (see above).
| 117,330 | 0 | 39 | 35 | 10 | 320,759 | 11 |
qutebrowser
| 9 |
qutebrowser/browser/webkit/webkittab.py
|
Python
| 4 |
{
"docstring": "Make sure we emit an appropriate status when loading finished.\n\n While Qt has a bool \"ok\" attribute for loadFinished, it always is True\n when using error pages... See\n https://github.com/qutebrowser/qutebrowser/issues/84\n ",
"language": "en",
"n_whitespaces": 57,
"n_words": 29,
"vocab_size": 28
}
|
https://github.com/qutebrowser/qutebrowser.git
|
|
2 |
get_package
|
def get_package(package):
# type: (Package) -> types.ModuleType
resolved = resolve(package)
if wrap_spec(resolved).submodule_search_locations is None:
raise TypeError(f'{package!r} is not a package')
return resolved
|
8198943edd73a363c266633e1aa5b2a9e9c9f526
| 11 |
_common.py
| 58 |
add python 3.10.4 for windows
| 55,184 | 0 | 44 | 30 | 20 | 218,182 | 22 |
XX-Net
| 7 |
python3.10.4/Lib/importlib/_common.py
|
Python
| 5 |
{
"docstring": "Take a package name or module object and return the module.\n\n Raise an exception if the resolved module is not a package.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 22,
"vocab_size": 19
}
|
https://github.com/XX-net/XX-Net.git
|
|
6 |
get_content_charset
|
def get_content_charset(self, failobj=None):
missing = object()
charset = self.get_param('charset', missing)
if charset is missing:
return failobj
if isinstance(charset, tuple):
# RFC 2231 encoded, so decode it, and it better end up as ascii.
pcharset = charset[0] or 'us-ascii'
try:
# LookupError will be raised if the charset isn't known to
# Python. UnicodeError will be raised if the encoded text
# contains a character not in the charset.
as_bytes = charset[2].encode('raw-unicode-escape')
charset = str(as_bytes, pcharset)
except (LookupError, UnicodeError):
charset = charset[2]
# charset characters must be in us-ascii range
try:
charset.encode('us-ascii')
except UnicodeError:
return failobj
# RFC 2046, $4.1.2 says charsets are not case sensitive
return charset.lower()
|
8198943edd73a363c266633e1aa5b2a9e9c9f526
| 13 |
message.py
| 175 |
add python 3.10.4 for windows
| 57,095 | 0 | 345 | 101 | 75 | 223,835 | 107 |
XX-Net
| 16 |
python3.10.4/Lib/email/message.py
|
Python
| 17 |
{
"docstring": "Return the charset parameter of the Content-Type header.\n\n The returned string is always coerced to lower case. If there is no\n Content-Type header, or if that header has no charset parameter,\n failobj is returned.\n ",
"language": "en",
"n_whitespaces": 63,
"n_words": 34,
"vocab_size": 28
}
|
https://github.com/XX-net/XX-Net.git
|
|
1 |
get_fws
|
def get_fws(value):
newvalue = value.lstrip()
fws = WhiteSpaceTerminal(value[:len(value)-len(newvalue)], 'fws')
return fws, newvalue
|
8198943edd73a363c266633e1aa5b2a9e9c9f526
| 13 |
_header_value_parser.py
| 64 |
add python 3.10.4 for windows
| 56,997 | 0 | 24 | 37 | 10 | 223,601 | 12 |
XX-Net
| 7 |
python3.10.4/Lib/email/_header_value_parser.py
|
Python
| 4 |
{
"docstring": "FWS = 1*WSP\n\n This isn't the RFC definition. We're using fws to represent tokens where\n folding can be done, but when we are parsing the *un*folding has already\n been done so we don't need to watch out for CRLF.\n\n ",
"language": "en",
"n_whitespaces": 52,
"n_words": 39,
"vocab_size": 36
}
|
https://github.com/XX-net/XX-Net.git
|
|
3 |
_determine_base_url
|
def _determine_base_url(document, page_url):
# type: (HTMLElement, str) -> str
for base in document.findall(".//base"):
href = base.get("href")
if href is not None:
return href
return page_url
|
f638f5d0e6c8ebed0e69a6584bc7f003ec646580
| 11 |
collector.py
| 63 |
upd; format
| 12,264 | 0 | 62 | 36 | 22 | 60,726 | 25 |
transferlearning
| 7 |
.venv/lib/python3.8/site-packages/pip/_internal/index/collector.py
|
Python
| 6 |
{
"docstring": "Determine the HTML document's base URL.\n\n This looks for a ``<base>`` tag in the HTML document. If present, its href\n attribute denotes the base URL of anchor tags in the document. If there is\n no such tag (or if it does not have a valid href attribute), the HTML\n file's URL is used as the base URL.\n\n :param document: An HTML document representation. The current\n implementation expects the result of ``html5lib.parse()``.\n :param page_url: The URL of the HTML document.\n ",
"language": "en",
"n_whitespaces": 107,
"n_words": 79,
"vocab_size": 51
}
|
https://github.com/jindongwang/transferlearning.git
|
|
1 |
binary_accuracy
|
def binary_accuracy(y_true, y_pred, threshold=0.5):
y_pred = tf.convert_to_tensor(y_pred)
threshold = tf.cast(threshold, y_pred.dtype)
y_pred = tf.cast(y_pred > threshold, y_pred.dtype)
return backend.mean(tf.equal(y_true, y_pred), axis=-1)
@keras_export('keras.metrics.categorical_accuracy')
@tf.__internal__.dispatch.add_dispatch_support
|
8bb1b365ca6bb21b32a1ee1654eecb02570970ac
|
@keras_export('keras.metrics.categorical_accuracy')
@tf.__internal__.dispatch.add_dispatch_support
| 9 |
metrics.py
| 123 |
reverting binary accuracy to original
| 79,764 | 1 | 26 | 67 | 19 | 268,903 | 23 |
keras
| 16 |
keras/metrics/metrics.py
|
Python
| 5 |
{
"docstring": "Calculates how often predictions match binary labels.\n\n Standalone usage:\n >>> y_true = [[1], [1], [0], [0]]\n >>> y_pred = [[1], [1], [0], [0]]\n >>> m = tf.keras.metrics.binary_accuracy(y_true, y_pred)\n >>> assert m.shape == (4,)\n >>> m.numpy()\n array([1., 1., 1., 1.], dtype=float32)\n\n Args:\n y_true: Ground truth values. shape = `[batch_size, d0, .. dN]`.\n y_pred: The predicted values. shape = `[batch_size, d0, .. dN]`.\n threshold: (Optional) Float representing the threshold for deciding whether\n prediction values are 1 or 0.\n\n Returns:\n Binary accuracy values. shape = `[batch_size, d0, .. dN-1]`\n ",
"language": "en",
"n_whitespaces": 113,
"n_words": 86,
"vocab_size": 61
}
|
https://github.com/keras-team/keras.git
|
1 |
activate
|
def activate(self) -> str:
load_kube_config_from_dict(
config_dict=self.config,
context=self.context,
)
return self.current_context()
|
8f3ffd09dc47bfd2af6a635cc04c640febffd519
| 9 |
kubernetes.py
| 48 |
add test coerage for get_api_client and activate
| 11,603 | 0 | 60 | 29 | 10 | 56,999 | 10 |
prefect
| 8 |
src/prefect/blocks/kubernetes.py
|
Python
| 11 |
{
"docstring": "\n Convenience method for activating the k8s config stored in an instance of this block\n\n Returns current_context for sanity check\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 19,
"vocab_size": 18
}
|
https://github.com/PrefectHQ/prefect.git
|
|
17 |
style_doc_files
|
def style_doc_files(*files, max_len=119, check_only=False):
changed = []
black_errors = []
for file in files:
# Treat folders
if os.path.isdir(file):
files = [os.path.join(file, f) for f in os.listdir(file)]
files = [f for f in files if os.path.isdir(f) or f.endswith(".mdx") or f.endswith(".py")]
changed += style_doc_files(*files, max_len=max_len, check_only=check_only)
# Treat mdx
elif file.endswith(".mdx"):
try:
diff, black_error = style_mdx_file(file, max_len=max_len, check_only=check_only)
if diff:
changed.append(file)
if len(black_error) > 0:
black_errors.append(
f"There was a problem while formatting an example in {file} with black:\m{black_error}"
)
except Exception:
print(f"There is a problem in {file}.")
raise
# Treat python files
elif file.endswith(".py"):
try:
diff, black_error = style_file_docstrings(file, max_len=max_len, check_only=check_only)
if diff:
changed.append(file)
if len(black_error) > 0:
black_errors.append(
f"There was a problem while formatting an example in {file} with black:\m{black_error}"
)
except Exception:
print(f"There is a problem in {file}.")
raise
else:
warnings.warn(f"Ignoring {file} because it's not a py or an mdx file or a folder.")
if len(black_errors) > 0:
black_message = "\n\n".join(black_errors)
raise ValueError(
"Some code examples can't be interpreted by black, which means they aren't regular python:\n\n"
+ black_message
+ "\n\nMake sure to fix the corresponding docstring or doc file, or remove the py/python after ``` if it "
+ "was not supposed to be a Python code sample."
)
return changed
|
fb5ed62c102c0323486b89805e1888495de3db15
| 18 |
style_doc.py
| 474 |
Convert documentation to the new front (#271)
* Main conversion
* Doc styling
* Style
* New front deploy
* Fixes
* Fixes
* Fix new docstrings
* Style
| 121,025 | 0 | 733 | 264 | 110 | 337,312 | 203 |
accelerate
| 26 |
utils/style_doc.py
|
Python
| 43 |
{
"docstring": "\n Applies doc styling or checks everything is correct in a list of files.\n\n Args:\n files (several `str` or `os.PathLike`): The files to treat.\n max_len (`int`): The maximum number of characters per line.\n check_only (`bool`, *optional*, defaults to `False`):\n Whether to restyle file or just check if they should be restyled.\n\n Returns:\n List[`str`]: The list of files changed or that should be restyled.\n ",
"language": "en",
"n_whitespaces": 114,
"n_words": 62,
"vocab_size": 47
}
|
https://github.com/huggingface/accelerate.git
|
|
2 |
assuming
|
def assuming(*assumptions):
old_global_assumptions = global_assumptions.copy()
global_assumptions.update(assumptions)
try:
yield
finally:
global_assumptions.clear()
global_assumptions.update(old_global_assumptions)
|
498015021131af4dbb07eb110e5badaba8250c7b
| 10 |
assume.py
| 67 |
Updated import locations
| 47,527 | 0 | 47 | 36 | 11 | 196,027 | 11 |
sympy
| 7 |
sympy/assumptions/assume.py
|
Python
| 8 |
{
"docstring": "\n Context manager for assumptions.\n\n Examples\n ========\n\n >>> from sympy import assuming, Q, ask\n >>> from sympy.abc import x, y\n >>> print(ask(Q.integer(x + y)))\n None\n >>> with assuming(Q.integer(x), Q.integer(y)):\n ... print(ask(Q.integer(x + y)))\n True\n ",
"language": "en",
"n_whitespaces": 71,
"n_words": 33,
"vocab_size": 25
}
|
https://github.com/sympy/sympy.git
|
|
10 |
update
|
def update(self, paddle, brickwall):
self._xLoc += self.__xVel
self._yLoc += self.__yVel
# left screen wall bounce
if self._xLoc <= self._radius:
self.__xVel *= -1
# right screen wall bounce
elif self._xLoc >= self.__width - self._radius:
self.__xVel *= -1
# top wall bounce
if self._yLoc <= self._radius:
self.__yVel *= -1
# bottom drop out
elif self._yLoc >= self.__width - self._radius:
return True
# for bouncing off the bricks.
if brickwall.collide(self):
self.__yVel *= -1
# collision detection between ball and paddle
paddleY = paddle._yLoc
paddleW = paddle._width
paddleH = paddle._height
paddleX = paddle._xLoc
ballX = self._xLoc
ballY = self._yLoc
if ((ballX + self._radius) >= paddleX and ballX <= (paddleX + paddleW)) and (
(ballY + self._radius) >= paddleY and ballY <= (paddleY + paddleH)
):
self.__yVel *= -1
return False
|
f0af0c43340763724f139fa68aa1e5a9ffe458b4
| 12 |
brickout-game.py
| 296 |
refactor: clean code
Signed-off-by: slowy07 <slowy.arfy@gmail.com>
| 4,365 | 0 | 364 | 186 | 64 | 22,585 | 126 |
Python
| 19 |
brickout-game/brickout-game.py
|
Python
| 24 |
{
"docstring": "\n moves the ball at the screen.\n contains some collision detection.\n \n Simple class for representing a paddle\n",
"language": "en",
"n_whitespaces": 41,
"n_words": 16,
"vocab_size": 15
}
|
https://github.com/geekcomputers/Python.git
|
|
1 |
get_metadata_distribution
|
def get_metadata_distribution(self) -> BaseDistribution:
assert self.req.local_file_path, "Set as part of preparation during download"
assert self.req.name, "Wheels are never unnamed"
wheel = FilesystemWheel(self.req.local_file_path)
return get_wheel_distribution(wheel, canonicalize_name(self.req.name))
|
f3166e673fe8d40277b804d35d77dcdb760fc3b3
| 11 |
wheel.py
| 79 |
check point progress on only bringing in pip==22.0.4 (#4966)
* vendor in pip==22.0.4
* updating vendor packaging version
* update pipdeptree to fix pipenv graph with new version of pip.
* Vendoring of pip-shims 0.7.0
* Vendoring of requirementslib 1.6.3
* Update pip index safety restrictions patch for pip==22.0.4
* Update patches
* exclude pyptoject.toml from black to see if that helps.
* Move this part of the hash collection back to the top (like prior implementation) because it affects the outcome of this test now in pip 22.0.4
| 3,125 | 0 | 60 | 48 | 24 | 19,880 | 25 |
pipenv
| 10 |
pipenv/patched/notpip/_internal/distributions/wheel.py
|
Python
| 9 |
{
"docstring": "Loads the metadata from the wheel file into memory and returns a\n Distribution that uses it, not relying on the wheel file or\n requirement.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 24,
"vocab_size": 20
}
|
https://github.com/pypa/pipenv.git
|
|
4 |
no_batch_dim_reference_rnn_gru
|
def no_batch_dim_reference_rnn_gru(m, p, *args, **kwargs):
if len(args) == 1:
inp, = args
h = None
elif len(args) == 2:
inp, h = args
h = h.unsqueeze(1)
batch_dim = 0 if kwargs['batch_first'] else 1
kwargs.pop('batch_first')
inp = inp.unsqueeze(batch_dim)
single_batch_input_args = (inp, h)
with freeze_rng_state():
output = m(*single_batch_input_args, **kwargs)
return (output[0].squeeze(batch_dim), output[1].squeeze(1))
|
6eba936082a641be8ece156f70c0f5c435f7a7aa
| 11 |
common_modules.py
| 192 |
[rnn/gru] no batch dim (#70442)
Summary:
Fixes https://github.com/pytorch/pytorch/issues/60585
TODO:
* [x] Doc updates
Pull Request resolved: https://github.com/pytorch/pytorch/pull/70442
Reviewed By: zou3519
Differential Revision: D33460427
Pulled By: jbschlosser
fbshipit-source-id: c64d9624c305d90570c79d11a28557f9ec667b27
| 21,518 | 0 | 116 | 118 | 36 | 102,398 | 50 |
pytorch
| 15 |
torch/testing/_internal/common_modules.py
|
Python
| 14 |
{
"docstring": "Reference function for RNN and GRU supporting no batch dimensions.\n\n Unbatched inputs are unsqueezed to form a\n single batch input before passing them to the module.\n The output is squeezed to compare with the\n output of unbatched input to the module.\n ",
"language": "en",
"n_whitespaces": 56,
"n_words": 41,
"vocab_size": 32
}
|
https://github.com/pytorch/pytorch.git
|
|
3 |
get_years
|
def get_years():
year_list = frappe.db.sql_list(
)
if not year_list:
year_list = [getdate().year]
return "\n".join(str(year) for year in year_list)
|
494bd9ef78313436f0424b918f200dab8fc7c20b
| 12 |
provident_fund_deductions.py
| 72 |
style: format code with black
| 14,458 | 0 | 12 | 41 | 16 | 67,257 | 18 |
erpnext
| 9 |
erpnext/regional/report/provident_fund_deductions/provident_fund_deductions.py
|
Python
| 7 |
{
"docstring": "select distinct YEAR(end_date) from `tabSalary Slip` ORDER BY YEAR(end_date) DESC",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
}
|
https://github.com/frappe/erpnext.git
|
|
2 |
rmul
|
def rmul(*args):
rv = args[0]
for i in range(1, len(args)):
rv = args[i]*rv
return rv
|
498015021131af4dbb07eb110e5badaba8250c7b
| 10 |
permutations.py
| 58 |
Updated import locations
| 47,659 | 0 | 54 | 36 | 12 | 196,159 | 15 |
sympy
| 6 |
sympy/combinatorics/permutations.py
|
Python
| 5 |
{
"docstring": "\n Return product of Permutations [a, b, c, ...] as the Permutation whose\n ith value is a(b(c(i))).\n\n a, b, c, ... can be Permutation objects or tuples.\n\n Examples\n ========\n\n >>> from sympy.combinatorics import Permutation\n\n >>> a, b = [1, 0, 2], [0, 2, 1]\n >>> a = Permutation(a); b = Permutation(b)\n >>> list(Permutation.rmul(a, b))\n [1, 2, 0]\n >>> [a(b(i)) for i in range(3)]\n [1, 2, 0]\n\n This handles the operands in reverse order compared to the ``*`` operator:\n\n >>> a = Permutation(a); b = Permutation(b)\n >>> list(a*b)\n [2, 0, 1]\n >>> [b(a(i)) for i in range(3)]\n [2, 0, 1]\n\n Notes\n =====\n\n All items in the sequence will be parsed by Permutation as\n necessary as long as the first item is a Permutation:\n\n >>> Permutation.rmul(a, [0, 2, 1]) == Permutation.rmul(a, b)\n True\n\n The reverse order of arguments will raise a TypeError.\n\n ",
"language": "en",
"n_whitespaces": 322,
"n_words": 139,
"vocab_size": 82
}
|
https://github.com/sympy/sympy.git
|
|
19 |
generate
|
def generate(self) -> dict[str, str]:
primary = self.primary
secondary = self.secondary or primary
warning = self.warning or primary
error = self.error or secondary
success = self.success or secondary
accent = self.accent or primary
dark = self._dark
luminosity_spread = self._luminosity_spread
text_alpha = self._text_alpha
if dark:
background = self.background or Color.parse(DEFAULT_DARK_BACKGROUND)
surface = self.surface or Color.parse(DEFAULT_DARK_SURFACE)
else:
background = self.background or Color.parse(DEFAULT_LIGHT_BACKGROUND)
surface = self.surface or Color.parse(DEFAULT_LIGHT_SURFACE)
if self.panel is None:
panel = surface.blend(primary, luminosity_spread)
else:
panel = self.panel
colors: dict[str, str] = {}
|
49764a3ec7e9525530e25465be0e1b0c7bffaf6c
| 12 |
design.py
| 248 |
improved color harmony
| 44,480 | 0 | 253 | 387 | 45 | 184,099 | 82 |
textual
| 27 |
src/textual/design.py
|
Python
| 72 |
{
"docstring": "Generate a mapping of color name on to a CSS color.\n\n Args:\n dark (bool, optional): Enable dark mode. Defaults to False.\n luminosity_spread (float, optional): Amount of luminosity to subtract and add to generate\n shades. Defaults to 0.2.\n text_alpha (float, optional): Alpha value for text. Defaults to 0.9.\n\n Returns:\n dict[str, str]: A mapping of color name on to a CSS-style encoded color\n\n ",
"language": "en",
"n_whitespaces": 141,
"n_words": 61,
"vocab_size": 40
}
|
https://github.com/Textualize/textual.git
|
|
3 |
cls_token
|
def cls_token(self) -> str:
if self._cls_token is None:
if self.verbose:
logger.error("Using cls_token, but it is not set yet.")
return None
return str(self._cls_token)
|
3eed5530ec74bb60ad9f8f612717d0f6ccf820f2
| 12 |
tokenization_utils_base.py
| 61 |
Fix properties of unset special tokens in non verbose mode (#17797)
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
| 5,765 | 0 | 80 | 35 | 19 | 31,490 | 22 |
transformers
| 7 |
src/transformers/tokenization_utils_base.py
|
Python
| 10 |
{
"docstring": "\n `str`: Classification token, to extract a summary of an input sequence leveraging self-attention along the full\n depth of the model. Log an error if used while not having been set.\n ",
"language": "en",
"n_whitespaces": 52,
"n_words": 30,
"vocab_size": 27
}
|
https://github.com/huggingface/transformers.git
|
|
7 |
eye
|
def eye(N, chunks="auto", M=None, k=0, dtype=float):
eye = {}
if M is None:
M = N
if dtype is None:
dtype = float
if not isinstance(chunks, (int, str)):
raise ValueError("chunks must be an int or string")
vchunks, hchunks = normalize_chunks(chunks, shape=(N, M), dtype=dtype)
chunks = vchunks[0]
token = tokenize(N, chunks, M, k, dtype)
name_eye = "eye-" + token
for i, vchunk in enumerate(vchunks):
for j, hchunk in enumerate(hchunks):
if (j - i - 1) * chunks <= k <= (j - i + 1) * chunks:
eye[name_eye, i, j] = (
np.eye,
vchunk,
hchunk,
k - (j - i) * chunks,
dtype,
)
else:
eye[name_eye, i, j] = (np.zeros, (vchunk, hchunk), dtype)
return Array(eye, name_eye, shape=(N, M), chunks=(chunks, chunks), dtype=dtype)
@derived_from(np)
|
e25284dced9749f02bd5d8c80b6225153aa282d8
|
@derived_from(np)
| 17 |
creation.py
| 342 |
Fix eye inconsistency with NumPy for dtype=None (#8669) (#8685)
| 36,471 | 1 | 343 | 230 | 80 | 155,800 | 121 |
dask
| 27 |
dask/array/creation.py
|
Python
| 25 |
{
"docstring": "\n Return a 2-D Array with ones on the diagonal and zeros elsewhere.\n\n Parameters\n ----------\n N : int\n Number of rows in the output.\n chunks : int, str\n How to chunk the array. Must be one of the following forms:\n\n - A blocksize like 1000.\n - A size in bytes, like \"100 MiB\" which will choose a uniform\n block-like shape\n - The word \"auto\" which acts like the above, but uses a configuration\n value ``array.chunk-size`` for the chunk size\n M : int, optional\n Number of columns in the output. If None, defaults to `N`.\n k : int, optional\n Index of the diagonal: 0 (the default) refers to the main diagonal,\n a positive value refers to an upper diagonal, and a negative value\n to a lower diagonal.\n dtype : data-type, optional\n Data-type of the returned array.\n\n Returns\n -------\n I : Array of shape (N,M)\n An array where all elements are equal to zero, except for the `k`-th\n diagonal, whose values are equal to one.\n ",
"language": "en",
"n_whitespaces": 295,
"n_words": 162,
"vocab_size": 103
}
|
https://github.com/dask/dask.git
|
1 |
test_null_annotation
|
def test_null_annotation(self):
book = Book.objects.annotate(
no_value=Value(None, output_field=IntegerField())
).first()
self.assertIsNone(book.no_value)
|
9c19aff7c7561e3a82978a272ecdaad40dda5c00
| 16 |
tests.py
| 66 |
Refs #33476 -- Reformatted code with Black.
| 49,839 | 0 | 48 | 39 | 9 | 200,995 | 9 |
django
| 12 |
tests/annotations/tests.py
|
Python
| 5 |
{
"docstring": "\n Annotating None onto a model round-trips\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
}
|
https://github.com/django/django.git
|
|
5 |
process
|
def process(self) -> None:
logger.info("[CREATE ALIGNMENTS FROM FACES]") # Tidy up cli output
skip_count = 0
d_align = {}
for filename, meta in tqdm(read_image_meta_batch(self._filelist),
desc="Generating Alignments",
total=len(self._filelist),
leave=False):
if "itxt" not in meta or "alignments" not in meta["itxt"]:
logger.verbose("skipping invalid file: '%s'", filename)
skip_count += 1
continue
align_fname = self._get_alignments_filename(meta["itxt"]["source"])
source_name, f_idx, alignment = self._extract_alignment(meta)
full_info = (f_idx, alignment, filename, meta["itxt"]["source"])
d_align.setdefault(align_fname, {}).setdefault(source_name, []).append(full_info)
alignments = self._sort_alignments(d_align)
self._save_alignments(alignments)
if skip_count > 1:
logger.warning("%s of %s files skipped that do not contain valid alignment data",
skip_count, len(self._filelist))
logger.warning("Run the process in verbose mode to see which files were skipped")
|
6437cd7ab0d6f18cdca0172ba281fd71967b86ac
| 14 |
jobs.py
| 306 |
alignments tool - Add from-faces job
- Allows user to regenerate alignments file(s) from a folder of extracted faces
| 20,138 | 0 | 405 | 184 | 81 | 100,680 | 98 |
faceswap
| 29 |
tools/alignments/jobs.py
|
Python
| 23 |
{
"docstring": " Run the job to read faces from a folder to create alignments file(s). ",
"language": "en",
"n_whitespaces": 14,
"n_words": 13,
"vocab_size": 12
}
|
https://github.com/deepfakes/faceswap.git
|
|
1 |
method
|
def method(self): # type: () -> str
raise NotImplementedError('Ansible has no built-in doas become plugin.')
|
24d91f552cad2a485f286f3c34cbba2005599ab4
| 8 |
become.py
| 24 |
ansible-test - Add support for more remotes.
| 78,936 | 0 | 30 | 11 | 15 | 267,516 | 15 |
ansible
| 3 |
test/lib/ansible_test/_internal/become.py
|
Python
| 2 |
{
"docstring": "The name of the Ansible become plugin that is equivalent to this.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
}
|
https://github.com/ansible/ansible.git
|
|
1 |
test_disposition_none
|
def test_disposition_none(self) -> None:
channel = self._req(None)
headers = channel.headers
self.assertEqual(
headers.getRawHeaders(b"Content-Type"), [self.test_image.content_type]
)
self.assertEqual(headers.getRawHeaders(b"Content-Disposition"), None)
|
32c828d0f760492711a98b11376e229d795fd1b3
| 10 |
test_media_storage.py
| 90 |
Add type hints to `tests/rest`. (#12208)
Co-authored-by: Patrick Cloke <clokep@users.noreply.github.com>
| 71,709 | 0 | 69 | 55 | 15 | 247,516 | 16 |
synapse
| 9 |
tests/rest/media/v1/test_media_storage.py
|
Python
| 11 |
{
"docstring": "\n If there is no filename, one isn't passed on in the Content-Disposition\n of the request.\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 14
}
|
https://github.com/matrix-org/synapse.git
|
|
2 |
is_on
|
def is_on(self) -> bool:
# Note: wemo.get_standby_state is a @property.
return super().is_on and self.wemo.get_standby_state == StandbyState.ON
|
cf5e21a996818d4273cb107f1de5c91ac69ab4e9
| 9 |
binary_sensor.py
| 42 |
Use properties of wemo Insight device (#72316)
| 100,041 | 0 | 37 | 24 | 16 | 301,193 | 16 |
core
| 8 |
homeassistant/components/wemo/binary_sensor.py
|
Python
| 3 |
{
"docstring": "Return true device connected to the Insight Switch is on.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
}
|
https://github.com/home-assistant/core.git
|
|
1 |
CircularUnitaryEnsemble
|
def CircularUnitaryEnsemble(sym, dim):
sym, dim = _symbol_converter(sym), _sympify(dim)
model = CircularUnitaryEnsembleModel(sym, dim)
rmp = RandomMatrixPSpace(sym, model=model)
return RandomMatrixSymbol(sym, dim, dim, pspace=rmp)
|
24f1e7730119fe958cc8e28411f790c9a5ec04eb
| 9 |
random_matrix_models.py
| 80 |
Fix various typos
Found via `codespell -q 3 -L aboves,aline,ans,aother,arithmetics,assum,atleast,braket,clen,declar,declars,dorder,dum,enew,fo,fro,inout,iself,ist,ket,lamda,lightyear,lightyears,nd,numer,numers,orderd,ot,pring,rcall,rever,ro,ser,siz,splitted,sring,supercedes,te,tht,unequality,upto,vas,versin,whet`
| 49,657 | 0 | 36 | 52 | 18 | 200,451 | 21 |
sympy
| 11 |
sympy/stats/random_matrix_models.py
|
Python
| 5 |
{
"docstring": "\n Represents Circular Unitary Ensembles.\n\n Examples\n ========\n\n >>> from sympy.stats import CircularUnitaryEnsemble as CUE\n >>> from sympy.stats import joint_eigen_distribution\n >>> C = CUE('U', 1)\n >>> joint_eigen_distribution(C)\n Lambda(t[1], Product(Abs(exp(I*t[_j]) - exp(I*t[_k]))**2, (_j, _k + 1, 1), (_k, 1, 0))/(2*pi))\n\n Note\n ====\n\n As can be seen above in the example, density of CiruclarUnitaryEnsemble\n is not evaluated because the exact definition is based on haar measure of\n unitary group which is not unique.\n ",
"language": "en",
"n_whitespaces": 112,
"n_words": 69,
"vocab_size": 57
}
|
https://github.com/sympy/sympy.git
|
|
4 |
generate_invalid_param_val
|
def generate_invalid_param_val(constraint, constraints=None):
if isinstance(constraint, StrOptions):
return f"not {' or '.join(constraint.options)}"
if not isinstance(constraint, Interval):
raise NotImplementedError
# constraint is an interval
constraints = [constraint] if constraints is None else constraints
return _generate_invalid_param_val_interval(constraint, constraints)
|
02cbe01e67165d7d38e5e441cfccd6b57b2207b6
| 12 |
_param_validation.py
| 96 |
FIX Param validation: fix generating invalid param when 2 interval constraints (#23513)
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
| 76,092 | 0 | 66 | 50 | 27 | 260,151 | 34 |
scikit-learn
| 10 |
sklearn/utils/_param_validation.py
|
Python
| 7 |
{
"docstring": "Return a value that does not satisfy the constraint.\n\n Raises a NotImplementedError if there exists no invalid value for this constraint.\n\n This is only useful for testing purpose.\n\n Parameters\n ----------\n constraint : _Constraint instance\n The constraint to generate a value for.\n\n constraints : list of _Constraint instances or None, default=None\n The list of all constraints for this parameter. If None, the list only\n containing `constraint` is used.\n\n Returns\n -------\n val : object\n A value that does not satisfy the constraint.\n ",
"language": "en",
"n_whitespaces": 138,
"n_words": 80,
"vocab_size": 52
}
|
https://github.com/scikit-learn/scikit-learn.git
|
|
1 |
test_invalidate_cache_by_room_id
|
def test_invalidate_cache_by_room_id(self):
with LoggingContext(name="test") as ctx:
# Prime the cache with some values
res = self.get_success(
self.store.have_seen_events(self.room_id, self.event_ids)
)
self.assertEqual(res, set(self.event_ids))
# That should result in a single db query to lookup
self.assertEqual(ctx.get_resource_usage().db_txn_count, 1)
# Clear the cache with any events associated with the `room_id`
self.store.have_seen_event.invalidate((self.room_id,))
with LoggingContext(name="test") as ctx:
res = self.get_success(
self.store.have_seen_events(self.room_id, self.event_ids)
)
self.assertEqual(res, set(self.event_ids))
# Since we cleared the cache, it should result in another db query to lookup
self.assertEqual(ctx.get_resource_usage().db_txn_count, 1)
|
29269d9d3f3419a3d92cdd80dae4a37e2d99a395
| 13 |
test_events_worker.py
| 230 |
Fix `have_seen_event` cache not being invalidated (#13863)
Fix https://github.com/matrix-org/synapse/issues/13856
Fix https://github.com/matrix-org/synapse/issues/13865
> Discovered while trying to make Synapse fast enough for [this MSC2716 test for importing many batches](https://github.com/matrix-org/complement/pull/214#discussion_r741678240). As an example, disabling the `have_seen_event` cache saves 10 seconds for each `/messages` request in that MSC2716 Complement test because we're not making as many federation requests for `/state` (speeding up `have_seen_event` itself is related to https://github.com/matrix-org/synapse/issues/13625)
>
> But this will also make `/messages` faster in general so we can include it in the [faster `/messages` milestone](https://github.com/matrix-org/synapse/milestone/11).
>
> *-- https://github.com/matrix-org/synapse/issues/13856*
### The problem
`_invalidate_caches_for_event` doesn't run in monolith mode which means we never even tried to clear the `have_seen_event` and other caches. And even in worker mode, it only runs on the workers, not the master (AFAICT).
Additionally there was bug with the key being wrong so `_invalidate_caches_for_event` never invalidates the `have_seen_event` cache even when it does run.
Because we were using the `@cachedList` wrong, it was putting items in the cache under keys like `((room_id, event_id),)` with a `set` in a `set` (ex. `(('!TnCIJPKzdQdUlIyXdQ:test', '$Iu0eqEBN7qcyF1S9B3oNB3I91v2o5YOgRNPwi_78s-k'),)`) and we we're trying to invalidate with just `(room_id, event_id)` which did nothing.
| 72,989 | 0 | 261 | 137 | 44 | 249,552 | 75 |
synapse
| 17 |
tests/storage/databases/main/test_events_worker.py
|
Python
| 14 |
{
"docstring": "\n Test to make sure that all events associated with the given `(room_id,)`\n are invalidated in the `have_seen_event` cache.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 17
}
|
https://github.com/matrix-org/synapse.git
|
|
12 |
_find_alignments
|
def _find_alignments(self) -> str:
fname = self._args.alignments_file
frames = self._args.frames_dir
if fname and os.path.isfile(fname) and os.path.splitext(fname)[-1].lower() == ".fsa":
return fname
if fname:
logger.error("Not a valid alignments file: '%s'", fname)
sys.exit(1)
if not frames or not os.path.exists(frames):
logger.error("Not a valid frames folder: '%s'. Can't scan for alignments.", frames)
sys.exit(1)
fname = "alignments.fsa"
if os.path.isdir(frames) and os.path.exists(os.path.join(frames, fname)):
return fname
if os.path.isdir(frames) or os.path.splitext(frames)[-1] not in _video_extensions:
logger.error("Can't find a valid alignments file in location: %s", frames)
sys.exit(1)
fname = f"{os.path.splitext(frames)[0]}_{fname}"
if not os.path.exists(fname):
logger.error("Can't find a valid alignments file for video: %s", frames)
sys.exit(1)
return fname
|
2d312a9db228c025d0bd2ea7a4f747a2c644b5d8
| 13 |
alignments.py
| 360 |
Minor updates and fixups
- Mask Tool - Typing + BiSeNet mask update fix
- Alignments Tool - Auto search for alignments file
| 21,043 | 0 | 289 | 204 | 50 | 101,635 | 95 |
faceswap
| 21 |
tools/alignments/alignments.py
|
Python
| 32 |
{
"docstring": " If an alignments folder is required and hasn't been provided, scan for a file based on\n the video folder.\n\n Exits if an alignments file cannot be located\n\n Returns\n -------\n str\n The full path to an alignments file\n ",
"language": "en",
"n_whitespaces": 91,
"n_words": 37,
"vocab_size": 31
}
|
https://github.com/deepfakes/faceswap.git
|
|
3 |
_has_arrow_table
|
def _has_arrow_table(self):
if not isinstance(self._op, FrameNode):
return False
return all(p.arrow_table is not None for p in self._partitions.flatten())
|
027f92a7655ae5b473839b7956ff52bf7879f3cc
| 11 |
dataframe.py
| 63 |
FIX-#4022: Fixed empty data frame with index (#4910)
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com>
| 36,150 | 0 | 49 | 39 | 15 | 154,793 | 17 |
modin
| 10 |
modin/experimental/core/execution/native/implementations/hdk_on_native/dataframe/dataframe.py
|
Python
| 4 |
{
"docstring": "\n Return True for materialized frame with Arrow table.\n\n Returns\n -------\n bool\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 11,
"vocab_size": 11
}
|
https://github.com/modin-project/modin.git
|
|
1 |
message_level_tag
|
def message_level_tag(message):
return MESSAGE_TAGS.get(message.level)
@register.simple_tag
|
1838fbfb1a720e0a286c989dbdea03dfde6af4a5
|
@register.simple_tag
| 8 |
wagtailadmin_tags.py
| 34 |
Prevent custom MESSAGE_TAGS settings from leaking into admin styles
Fixes a test failure against Django main.
In #2552, a fix was applied to ensure that the project-level MESSAGE_TAGS setting was ignored, allowing end-users to customise that setting for their own projects without it leaking into Wagtail admin styles.
Unfortunately, the test was flawed (or was broken in a Django regression at some point): in Django <=4.0, MESSAGE_TAGS was not affected by override_settings after the first request, which meant that unless the test was run in isolation, the custom classname that was supposed to flag up the problem never got applied, and the test always succeeded.
The change to SVG icons broke the intent of #2552, since it used message.level_tag for the icon's classname (and this picks up MESSAGE_TAGS customisations), but due to the broken test this went unnoticed.
https://github.com/django/django/commit/24b316536a7ee4c54a54f632de1852aecb4038c0 fixed the override_settings behaviour, making the test fail as it should have done long ago.
Here we adjust the test to not rely on override_settings (so that it does what it's supposed to do on all Django versions), fix a test that gets broken as a side effect (because it's unnecessarily checking message.level_tag), and fixes our SVG-icon-powered message include to bypass the MESSAGE_TAGS setting like the old implementation did.
Confusing? Yes.
| 16,502 | 1 | 10 | 15 | 5 | 76,338 | 5 |
wagtail
| 7 |
wagtail/admin/templatetags/wagtailadmin_tags.py
|
Python
| 2 |
{
"docstring": "\n Return the tag for this message's level as defined in\n django.contrib.messages.constants.DEFAULT_TAGS, ignoring the project-level\n MESSAGE_TAGS setting (which end-users might customise).\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 20,
"vocab_size": 19
}
|
https://github.com/wagtail/wagtail.git
|
2 |
_has_nchw_support
|
def _has_nchw_support():
explicitly_on_cpu = _is_current_explicit_device("CPU")
gpus_available = bool(_get_available_gpus())
return not explicitly_on_cpu and gpus_available
# VARIABLE MANIPULATION
|
84afc5193d38057e2e2badf9c889ea87d80d8fbf
| 10 |
backend.py
| 47 |
Reformatting the codebase with black.
PiperOrigin-RevId: 450093126
| 80,226 | 0 | 27 | 24 | 13 | 269,606 | 16 |
keras
| 6 |
keras/backend.py
|
Python
| 4 |
{
"docstring": "Check whether the current scope supports NCHW ops.\n\n TensorFlow does not support NCHW on CPU. Therefore we check if we are not\n explicitly put on\n CPU, and have GPUs available. In this case there will be soft-placing on the\n GPU device.\n\n Returns:\n bool: if the current scope device placement would support nchw\n ",
"language": "en",
"n_whitespaces": 77,
"n_words": 52,
"vocab_size": 41
}
|
https://github.com/keras-team/keras.git
|
|
4 |
write
|
def write(self, fp, space_around_delimiters=True):
if space_around_delimiters:
d = " {} ".format(self._delimiters[0])
else:
d = self._delimiters[0]
if self._defaults:
self._write_section(fp, self.default_section,
self._defaults.items(), d)
for section in self._sections:
self._write_section(fp, section,
self._sections[section].items(), d)
|
8198943edd73a363c266633e1aa5b2a9e9c9f526
| 13 |
configparser.py
| 140 |
add python 3.10.4 for windows
| 56,462 | 0 | 174 | 91 | 24 | 221,659 | 29 |
XX-Net
| 13 |
python3.10.4/Lib/configparser.py
|
Python
| 11 |
{
"docstring": "Write an .ini-format representation of the configuration state.\n\n If `space_around_delimiters' is True (the default), delimiters\n between keys and values are surrounded by spaces.\n\n Please note that comments in the original configuration file are not\n preserved when writing the configuration back.\n ",
"language": "en",
"n_whitespaces": 75,
"n_words": 40,
"vocab_size": 35
}
|
https://github.com/XX-net/XX-Net.git
|
|
1 |
test_get_name_mixed_case
|
def test_get_name_mixed_case():
result = salt.utils.win_dacl.get_name("adMiniStrAtorS")
expected = "Administrators"
assert result == expected
|
3bb43882e727b1d36abe2e501759c9c5e9048ecf
| 10 |
test_get_name.py
| 46 |
Add tests, migrate some tests to pytest
| 54,127 | 0 | 24 | 24 | 9 | 215,733 | 12 |
salt
| 7 |
tests/pytests/unit/utils/win_dacl/test_get_name.py
|
Python
| 4 |
{
"docstring": "\n Test get_name when passing an account name with mixed case characters\n ",
"language": "en",
"n_whitespaces": 18,
"n_words": 11,
"vocab_size": 11
}
|
https://github.com/saltstack/salt.git
|
|
1 |
test_non_categorical_value_label_convert_categoricals_error
|
def test_non_categorical_value_label_convert_categoricals_error():
# Mapping more than one value to the same label is valid for Stata
# labels, but can't be read with convert_categoricals=True
value_labels = {
"repeated_labels": {10: "Ten", 20: "More than ten", 40: "More than ten"}
}
data = DataFrame(
{
"repeated_labels": [10, 10, 20, 20, 40, 40],
}
)
with tm.ensure_clean() as path:
data.to_stata(path, value_labels=value_labels)
with StataReader(path, convert_categoricals=False) as reader:
reader_value_labels = reader.value_labels()
assert reader_value_labels == value_labels
col = "repeated_labels"
repeats = "-" * 80 + "\n" + "\n".join(["More than ten"])
msg = f
with pytest.raises(ValueError, match=msg):
read_stata(path, convert_categoricals=True)
@pytest.mark.parametrize("version", [114, 117, 118, 119, None])
@pytest.mark.parametrize(
"dtype",
[
pd.BooleanDtype,
pd.Int8Dtype,
pd.Int16Dtype,
pd.Int32Dtype,
pd.Int64Dtype,
pd.UInt8Dtype,
pd.UInt16Dtype,
pd.UInt32Dtype,
pd.UInt64Dtype,
],
)
|
b48a73ff53a2c3414e38f5adf11f661dd7883cd1
|
@pytest.mark.parametrize("version", [114, 117, 118, 119, None])
@pytest.mark.parametrize(
"dtype",
[
pd.BooleanDtype,
pd.Int8Dtype,
pd.Int16Dtype,
pd.Int32Dtype,
pd.Int64Dtype,
pd.UInt8Dtype,
pd.UInt16Dtype,
pd.UInt32Dtype,
pd.UInt64Dtype,
],
)
| 13 |
test_stata.py
| 334 |
TST: use `with` where possible instead of manual `close` (#48931)
Coincidentally fixes some StataReaders being left open in tests.
| 40,445 | 1 | 304 | 131 | 90 | 169,679 | 112 |
pandas
| 33 |
pandas/tests/io/test_stata.py
|
Python
| 29 |
{
"docstring": "\nValue labels for column {col} are not unique. These cannot be converted to\npandas categoricals.\n\nEither read the file with `convert_categoricals` set to False or use the\nlow level interface in `StataReader` to separately read the values and the\nvalue_labels.\n\nThe repeated labels are:\n{repeats}\n",
"language": "en",
"n_whitespaces": 38,
"n_words": 45,
"vocab_size": 38
}
|
https://github.com/pandas-dev/pandas.git
|
4 |
memoize
|
def memoize(ttl=60, cache_key=None, track_function=False, cache=None):
if cache_key and track_function:
raise IllegalArgumentError("Can not specify cache_key when track_function is True")
cache = cache or get_memoize_cache()
|
cfce31419d6fa5155e87f0d3faddd713e12210a2
| 10 |
common.py
| 61 |
Move the IS_TESTING method out of settings
| 17,296 | 0 | 39 | 41 | 21 | 82,019 | 23 |
awx
| 7 |
awx/main/utils/common.py
|
Python
| 6 |
{
"docstring": "\n Decorator to wrap a function and cache its result.\n ",
"language": "en",
"n_whitespaces": 16,
"n_words": 9,
"vocab_size": 9
}
|
https://github.com/ansible/awx.git
|
|
5 |
mixin_base_ppr_parser
|
def mixin_base_ppr_parser(parser):
gp = add_arg_group(parser, title='Essential')
gp.add_argument(
'--name',
type=str,
help=,
)
gp.add_argument(
'--workspace',
type=str,
help='The working directory for any IO operations in this object. '
'If not set, then derive from its parent `workspace`.',
)
from jina import __resources_path__
gp.add_argument(
'--log-config',
type=str,
default=os.path.join(__resources_path__, 'logging.default.yml'),
help='The YAML config of the logger used in this object.',
)
gp.add_argument(
'--quiet',
action='store_true',
default=False,
help='If set, then no log will be emitted from this object.',
)
gp.add_argument(
'--quiet-error',
action='store_true',
default=False,
help='If set, then exception stack information will not be added to the log',
)
gp.add_argument(
'--workspace-id',
type=str,
default=random_identity(),
help='the UUID for identifying the workspace. When not given a random id will be assigned.'
'Multiple Pod/Deployment/Flow will work under the same workspace if they share the same '
'`workspace-id`.'
if _SHOW_ALL_ARGS
else argparse.SUPPRESS,
)
parser.add_argument(
'--extra-search-paths',
type=str,
default=[],
nargs='*',
help='Extra search paths to be used when loading modules and finding YAML config files.'
if _SHOW_ALL_ARGS
else argparse.SUPPRESS,
)
gp.add_argument(
'--timeout-ctrl',
type=int,
default=int(os.getenv('JINA_DEFAULT_TIMEOUT_CTRL', '60')),
help='The timeout in milliseconds of the control request, -1 for waiting forever',
)
parser.add_argument(
'--k8s-namespace',
type=str,
help='Name of the namespace where Kubernetes deployment should be deployed, to be filled by flow name'
if _SHOW_ALL_ARGS
else argparse.SUPPRESS,
)
gp.add_argument(
'--k8s-disable-connection-pool',
action='store_false',
dest='k8s_connection_pool',
default=True,
help='Defines if connection pooling for replicas should be disabled in K8s. This mechanism implements load balancing between replicas of the same executor. This should be disabled if a service mesh (like istio) is used for load balancing.'
if _SHOW_ALL_ARGS
else argparse.SUPPRESS,
)
gp.add_argument(
'--polling',
type=str,
default=PollingType.ANY.name,
help=,
)
|
13edc16d806fb5d77a6849551178ccc75937f25f
| 13 |
base.py
| 461 |
refactor: rename pod to deployment (#4230)
* refactor: rename pod to deployment
* style: fix overload and cli autocomplete
* fix: undo daemon mistake
* refactor: leftover cleanup
* fix: more test fixes
* fix: more fixes
* fix: more fixes
* fix: more fixes
* fix: more tests
* fix: fix more tests
* refactor: fix more tests
* refactor: more tests fixes
* refactor: rename pea to pod
* refactor: adjust docs
* refactor: complete pea renaming
* refactor: more fixes
* fix: pea_type in k8s yamls
* fix: adjust pod args name
* refactor: rename peapods parser folder
* fix: da init
Co-authored-by: Jina Dev Bot <dev-bot@jina.ai>
| 1,996 | 0 | 700 | 278 | 147 | 10,921 | 247 |
jina
| 27 |
jina/parsers/orchestrate/base.py
|
Python
| 99 |
{
"docstring": "Mixing in arguments required by pod/deployment/runtime module into the given parser.\n :param parser: the parser instance to which we add arguments\n \nThe name of this object.\n\nThis will be used in the following places:\n- how you refer to this object in Python/YAML/CLI\n- visualization\n- log message header\n- ...\n\nWhen not given, then the default naming strategy will apply.\n \n The polling strategy of the Deployment and its endpoints (when `shards>1`).\n Can be defined for all endpoints of a Deployment or by endpoint.\n Define per Deployment:\n - ANY: only one (whoever is idle) Pod polls the message\n - ALL: all Pods poll the message (like a broadcast)\n Define per Endpoint:\n JSON dict, {endpoint: PollingType}\n {'/custom': 'ALL', '/search': 'ANY', '*': 'ANY'}\n \n ",
"language": "en",
"n_whitespaces": 172,
"n_words": 121,
"vocab_size": 90
}
|
https://github.com/jina-ai/jina.git
|
|
3 |
transform
|
def transform(self, X, copy=True):
check_is_fitted(self)
X = self._validate_data(
X, copy=(copy and self._whiten), dtype=[np.float64, np.float32], reset=False
)
if self._whiten:
X -= self.mean_
return np.dot(X, self.components_.T)
|
d14fd82cf423c21ab6d01f7d0430083f9d7026be
| 12 |
_fastica.py
| 110 |
ENH Preserving dtypes for ICA (#22806)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
| 75,763 | 0 | 88 | 73 | 22 | 259,424 | 24 |
scikit-learn
| 16 |
sklearn/decomposition/_fastica.py
|
Python
| 8 |
{
"docstring": "Recover the sources from X (apply the unmixing matrix).\n\n Parameters\n ----------\n X : array-like of shape (n_samples, n_features)\n Data to transform, where `n_samples` is the number of samples\n and `n_features` is the number of features.\n\n copy : bool, default=True\n If False, data passed to fit can be overwritten. Defaults to True.\n\n Returns\n -------\n X_new : ndarray of shape (n_samples, n_components)\n Estimated sources obtained by transforming the data with the\n estimated unmixing matrix.\n ",
"language": "en",
"n_whitespaces": 183,
"n_words": 72,
"vocab_size": 52
}
|
https://github.com/scikit-learn/scikit-learn.git
|
|
12 |
get_freq
|
def get_freq(self) -> str | None:
if not self.is_monotonic or not self.index._is_unique:
return None
delta = self.deltas[0]
ppd = periods_per_day(self._reso)
if delta and _is_multiple(delta, ppd):
return self._infer_daily_rule()
# Business hourly, maybe. 17: one day / 65: one weekend
if self.hour_deltas in ([1, 17], [1, 65], [1, 17, 65]):
return "BH"
# Possibly intraday frequency. Here we use the
# original .asi8 values as the modified values
# will not work around DST transitions. See #8772
if not self.is_unique_asi8:
return None
delta = self.deltas_asi8[0]
pph = ppd // 24
ppm = pph // 60
pps = ppm // 60
if _is_multiple(delta, pph):
# Hours
return _maybe_add_count("H", delta / pph)
elif _is_multiple(delta, ppm):
# Minutes
return _maybe_add_count("T", delta / ppm)
elif _is_multiple(delta, pps):
# Seconds
return _maybe_add_count("S", delta / pps)
elif _is_multiple(delta, (pps // 1000)):
# Milliseconds
return _maybe_add_count("L", delta / (pps // 1000))
elif _is_multiple(delta, (pps // 1_000_000)):
# Microseconds
return _maybe_add_count("U", delta / (pps // 1_000_000))
else:
# Nanoseconds
return _maybe_add_count("N", delta)
|
e9350a4affbb424aaecad279f638a0dd1584df68
| 13 |
frequencies.py
| 367 |
infer_freq handle non-nano (#47126)
* infer_freq handle non-nano
* remove unused import
| 39,834 | 0 | 487 | 210 | 94 | 166,591 | 162 |
pandas
| 20 |
pandas/tseries/frequencies.py
|
Python
| 35 |
{
"docstring": "\n Find the appropriate frequency string to describe the inferred\n frequency of self.i8values\n\n Returns\n -------\n str or None\n ",
"language": "en",
"n_whitespaces": 60,
"n_words": 17,
"vocab_size": 15
}
|
https://github.com/pandas-dev/pandas.git
|
|
2 |
guarded_deprecation_warning
|
def guarded_deprecation_warning(*args, **kwargs):
if os.environ.get("SERVE_WARN_V1_DEPRECATIONS", "0") == "1":
from ray._private.utils import deprecated
return deprecated(*args, **kwargs)
else:
|
f6d19ac7c03b12bbf839824381376e228d0fffad
| 10 |
utils.py
| 75 |
[Serve] Gate the deprecation warnings behind envvar (#27479)
| 28,208 | 0 | 39 | 47 | 16 | 126,641 | 16 |
ray
| 10 |
python/ray/serve/_private/utils.py
|
Python
| 7 |
{
"docstring": "Wrapper for deprecation warnings, guarded by a flag.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
}
|
https://github.com/ray-project/ray.git
|
|
2 |
current_headings
|
def current_headings(self):
return {v['name']:('#' + v['label']) for v in self.custcols.values()}
|
9a95d8b0c26bdaea17ea9264ab45e8a81b6422f0
| 11 |
create_custom_column.py
| 57 |
More CreateNewCustomColumn stuff.
- Improved documentation
- Check column headings for duplicates
- Method to return the current column headings as a dict
- Improved exception handling
| 45,934 | 0 | 24 | 32 | 10 | 188,798 | 10 |
calibre
| 5 |
src/calibre/gui2/preferences/create_custom_column.py
|
Python
| 2 |
{
"docstring": "\n Return the currently defined column headings\n\n Return the column headings including the ones that haven't yet been\n created. It is a dict. The key is the heading, the value is the lookup\n name having that heading.\n ",
"language": "en",
"n_whitespaces": 72,
"n_words": 36,
"vocab_size": 25
}
|
https://github.com/kovidgoyal/calibre.git
|
|
8 |
_generate
|
def _generate(self, pset, min_, max_, condition, type_=None):
if type_ is None:
type_ = pset.ret
expr = []
height = np.random.randint(min_, max_)
stack = [(0, type_)]
while len(stack) != 0:
depth, type_ = stack.pop()
# We've added a type_ parameter to the condition function
if condition(height, depth, type_):
try:
term = np.random.choice(pset.terminals[type_])
except IndexError:
_, _, traceback = sys.exc_info()
raise IndexError(
"The gp.generate function tried to add "
"a terminal of type {}, but there is"
"none available. {}".format(type_, traceback)
)
if inspect.isclass(term):
term = term()
expr.append(term)
else:
try:
prim = np.random.choice(pset.primitives[type_])
except IndexError:
_, _, traceback = sys.exc_info()
raise IndexError(
"The gp.generate function tried to add "
"a primitive of type {}, but there is"
"none available. {}".format(type_, traceback)
)
expr.append(prim)
for arg in reversed(prim.args):
stack.append((depth + 1, arg))
return expr
|
388616b6247ca4ea8de4e2f340d6206aee523541
| 19 |
base.py
| 357 |
Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068.
| 43,607 | 0 | 683 | 221 | 83 | 181,829 | 131 |
tpot
| 34 |
tpot/base.py
|
Python
| 35 |
{
"docstring": "Generate a Tree as a list of lists.\n\n The tree is build from the root to the leaves, and it stop growing when\n the condition is fulfilled.\n\n Parameters\n ----------\n pset: PrimitiveSetTyped\n Primitive set from which primitives are selected.\n min_: int\n Minimum height of the produced trees.\n max_: int\n Maximum height of the produced trees.\n condition: function\n The condition is a function that takes two arguments,\n the height of the tree to build and the current\n depth in the tree.\n type_: class\n The type that should return the tree when called, when\n :obj:None (default) no return type is enforced.\n\n Returns\n -------\n individual: list\n A grown tree with leaves at possibly different depths\n depending on the condition function.\n ",
"language": "en",
"n_whitespaces": 317,
"n_words": 116,
"vocab_size": 75
}
|
https://github.com/EpistasisLab/tpot.git
|
|
2 |
installed_by_distutils
|
def installed_by_distutils(self) -> bool:
info_location = self.info_location
if not info_location:
return False
return pathlib.Path(info_location).is_file()
|
f3166e673fe8d40277b804d35d77dcdb760fc3b3
| 9 |
base.py
| 52 |
check point progress on only bringing in pip==22.0.4 (#4966)
* vendor in pip==22.0.4
* updating vendor packaging version
* update pipdeptree to fix pipenv graph with new version of pip.
* Vendoring of pip-shims 0.7.0
* Vendoring of requirementslib 1.6.3
* Update pip index safety restrictions patch for pip==22.0.4
* Update patches
* exclude pyptoject.toml from black to see if that helps.
* Move this part of the hash collection back to the top (like prior implementation) because it affects the outcome of this test now in pip 22.0.4
| 3,148 | 0 | 53 | 30 | 13 | 19,917 | 14 |
pipenv
| 7 |
pipenv/patched/notpip/_internal/metadata/base.py
|
Python
| 11 |
{
"docstring": "Whether this distribution is installed with legacy distutils format.\n\n A distribution installed with \"raw\" distutils not patched by setuptools\n uses one single file at ``info_location`` to store metadata. We need to\n treat this specially on uninstallation.\n ",
"language": "en",
"n_whitespaces": 64,
"n_words": 36,
"vocab_size": 30
}
|
https://github.com/pypa/pipenv.git
|
|
13 |
_view
|
def _view(arr, dtype=None, type=None):
lax_internal._check_user_dtype_supported(dtype, "view")
if type is not None:
raise NotImplementedError("`type` argument of array.view()")
if dtype is None:
return arr
arr_dtype = _dtype(arr)
if arr_dtype == dtype:
return arr
# bool is implemented as lax:PRED, which is not compatible with lax.bitcast_convert_type.
# We work around this by casting bool to uint8.
if arr_dtype == bool_:
arr = arr.astype(uint8)
nbits_in = 8 * arr_dtype.itemsize
nbits_out = 8 * np.dtype(dtype).itemsize
if nbits_in == nbits_out:
if dtype == bool_:
return lax.bitcast_convert_type(arr, uint8).astype(dtype)
return lax.bitcast_convert_type(arr, dtype)
if nbits_out > nbits_in and (shape(arr)[-1] * nbits_in) % nbits_out != 0:
raise ValueError("When changing to a larger dtype, its size must be a divisor "
"of the total size in bytes of the last axis of the array.")
byte_dtypes = {8: uint8, 16: uint16, 32: uint32, 64: uint64}
if nbits_in not in byte_dtypes:
raise NotImplementedError(f"arr.view() for arr.dtype={arr_dtype}")
if nbits_out not in byte_dtypes:
raise NotImplementedError(f"arr.view(dtype) for dtype={dtype}")
dt_in = byte_dtypes[nbits_in]
dt_out = byte_dtypes[nbits_out]
arr_bytes = lax.bitcast_convert_type(arr, dt_in)
if nbits_in < nbits_out:
arr_bytes = arr_bytes.reshape(arr.shape[:-1] + (-1, nbits_out // nbits_in)).astype(dt_out)
shifts = expand_dims(arange(0, nbits_out, nbits_in, dtype=dt_out), tuple(range(arr_bytes.ndim - 1)))
arr_bytes = (arr_bytes << shifts).sum(-1).astype(dt_out)
else:
shifts = lax.expand_dims(arange(0, nbits_in, nbits_out, dtype=dt_in), tuple(range(arr_bytes.ndim)))
arr_bytes = ((arr_bytes[..., newaxis] >> shifts) & iinfo(dt_out).max).astype(dt_out)
arr_bytes = arr_bytes.reshape(arr_bytes.shape[:-2] + (-1,))
if dtype == bool_:
return lax.bitcast_convert_type(arr_bytes, uint8).astype(dtype)
return lax.bitcast_convert_type(arr_bytes, dtype)
### track unimplemented functions
_NOT_IMPLEMENTED_DESC =
|
e262c72b195d4f6b31d9b45c18a23a53d22be85c
| 16 |
lax_numpy.py
| 632 |
remove `_check_user_dtype_supported` from public `jax.lax` module
| 26,669 | 0 | 317 | 391 | 135 | 119,709 | 224 |
jax
| 39 |
jax/_src/numpy/lax_numpy.py
|
Python
| 39 |
{
"docstring": "\n*** This function is not yet implemented by jax.numpy, and will raise NotImplementedError ***\n",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
}
|
https://github.com/google/jax.git
|
|
2 |
_get_offset
|
def _get_offset(self) -> Dict[CenteringType, np.ndarray]:
offset: Dict[CenteringType, np.ndarray] = dict(legacy=np.array([0.0, 0.0]))
points: Dict[Literal["face", "head"], Tuple[float, ...]] = dict(head=(0.0, 0.0, -2.3),
face=(0.0, -1.5, 4.2))
for key, pnts in points.items():
center = cv2.projectPoints(np.array([pnts]).astype("float32"),
self._rotation,
self._translation,
self._camera_matrix,
self._distortion_coefficients)[0].squeeze()
logger.trace("center %s: %s", key, center) # type: ignore
offset[key] = center - (0.5, 0.5)
logger.trace("offset: %s", offset) # type: ignore
return offset
|
a2de4a97985dc62db3b140a924aeac2be733abf8
| 18 |
aligned_face.py
| 258 |
lib.align.aligned_face updates
- Typing
- Legacy support for pre-aligned faces
- Coverage support for pre-aligned faces
- Standardized retrieval of sub-crops
| 20,610 | 0 | 357 | 190 | 47 | 101,189 | 57 |
faceswap
| 30 |
lib/align/aligned_face.py
|
Python
| 22 |
{
"docstring": " Obtain the offset between the original center of the extracted face to the new center\n of the head in 2D space.\n\n Returns\n -------\n :class:`numpy.ndarray`\n The x, y offset of the new center from the old center.\n ",
"language": "en",
"n_whitespaces": 83,
"n_words": 36,
"vocab_size": 24
}
|
https://github.com/deepfakes/faceswap.git
|
|
9 |
list_fonts
|
def list_fonts(directory, extensions):
extensions = ["." + ext for ext in extensions]
if sys.platform == 'win32' and directory == win32FontDirectory():
return [os.path.join(directory, filename)
for filename in os.listdir(directory)
if os.path.isfile(filename)]
else:
return [os.path.join(dirpath, filename)
# os.walk ignores access errors, unlike Path.glob.
for dirpath, _, filenames in os.walk(directory)
for filename in filenames
if Path(filename).suffix.lower() in extensions]
|
e8006163923564ea04f745a289e079b80afc6db8
| 16 |
font_manager.py
| 170 |
skip sub directories when finding fonts on windows
Closes #22859
Co-authored-by: Tim Hoffmann <2836374+timhoffm@users.noreply.github.com>
| 23,132 | 0 | 170 | 108 | 38 | 108,279 | 54 |
matplotlib
| 20 |
lib/matplotlib/font_manager.py
|
Python
| 11 |
{
"docstring": "\n Return a list of all fonts matching any of the extensions, found\n recursively under the directory.\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 16,
"vocab_size": 14
}
|
https://github.com/matplotlib/matplotlib.git
|
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