complexity int64 1 56 | n_identifiers int64 1 114 | code stringlengths 19 12.7k | path stringlengths 8 134 | n_ast_nodes int64 12 2.35k | ast_errors stringlengths 0 4.01k | repo stringlengths 3 28 | documentation dict | n_words int64 2 866 | language stringclasses 1
value | vocab_size int64 2 323 | commit_id stringlengths 40 40 | file_name stringlengths 5 79 | id int64 243 338k | nloc int64 1 228 | token_counts int64 5 1.4k | fun_name stringlengths 1 77 | url stringlengths 31 60 | commit_message stringlengths 3 15.3k | n_whitespaces int64 1 3.23k | n_ast_errors int64 0 20 | d_id int64 74 121k | ast_levels int64 4 29 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7 | 26 | def set_name_with_model(self, model):
_, table_name = split_identifier(model._meta.db_table)
column_names = [
model._meta.get_field(field_name).column
for field_name, order in self.fields_orders
]
column_names_with_order = [
(("-%s" if order e... | django/db/models/indexes.py | 289 | django | {
"docstring": "\n Generate a unique name for the index.\n\n The name is divided into 3 parts - table name (12 chars), field name\n (8 chars) and unique hash + suffix (10 chars). Each part is made to\n fit its size by truncating the excess length.\n ",
"language": "en",
"n_white... | 109 | Python | 81 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | indexes.py | 205,685 | 25 | 180 | set_name_with_model | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 366 | 0 | 51,168 | 13 | |
1 | 14 | def test_sparse_matrix():
tpot_obj = TPOTClassifier(
random_state=42,
population_size=1,
offspring_size=2,
generations=1,
verbosity=0,
config_dict='TPOT light'
)
assert_raises(ValueError, tpot_obj.fit, sparse_features, sparse_target)
| tests/tpot_tests.py | 68 | tpot | {
"docstring": "Assert that the TPOT fit function will raise a ValueError in a sparse matrix with config_dict='TPOT light'.",
"language": "en",
"n_whitespaces": 16,
"n_words": 17,
"vocab_size": 16
} | 17 | Python | 17 | 388616b6247ca4ea8de4e2f340d6206aee523541 | tpot_tests.py | 181,800 | 10 | 45 | test_sparse_matrix | https://github.com/EpistasisLab/tpot.git | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | 71 | 0 | 43,586 | 10 | |
5 | 19 | def check_requirements(self, reqs):
# type: (Iterable[str]) -> Tuple[Set[Tuple[str, str]], Set[str]]
missing = set()
conflicting = set()
if reqs:
ws = WorkingSet(self._lib_dirs)
for req in reqs:
try:
if ws.find(Requirem... | .venv/lib/python3.8/site-packages/pip/_internal/build_env.py | 158 | transferlearning | {
"docstring": "Return 2 sets:\n - conflicting requirements: set of (installed, wanted) reqs tuples\n - missing requirements: set of reqs\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 18,
"vocab_size": 13
} | 40 | Python | 34 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | build_env.py | 60,470 | 13 | 96 | check_requirements | https://github.com/jindongwang/transferlearning.git | upd; format | 231 | 0 | 12,176 | 21 | |
5 | 16 | def unpack_iterator_input(iterator):
try:
next_element = iterator.get_next()
except tf.errors.OutOfRangeError:
raise RuntimeError(
"Your dataset iterator ran out of data; "
"Make sure that your dataset can generate "
"required number of samples."
... | keras/engine/training_utils_v1.py | 180 | keras | {
"docstring": "Convert a dataset iterator to a tuple of tensors `x, y, sample_weights`.\n\n Args:\n iterator: Instance of a dataset iterator.\n\n Returns:\n Tuple of tensors `x, y, weights`. `y` and `weights` entry may be None.\n ",
"language": "en",
"n_whitespaces": 52,
"n_words": 33,
"vo... | 101 | Python | 67 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | training_utils_v1.py | 271,843 | 26 | 105 | unpack_iterator_input | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 315 | 0 | 80,862 | 14 | |
1 | 22 | def test_missing_required_field(self):
cf3 = CustomField(type=CustomFieldTypeChoices.TYPE_TEXT, name='baz', required=True)
cf3.save()
cf3.content_types.set([ContentType.objects.get_for_model(Site)])
site = Site(name='Test Site', slug='test-site')
# Set custom field dat... | netbox/extras/tests/test_customfields.py | 165 | netbox | {
"docstring": "\n Check that a ValidationError is raised if any required custom fields are not present.\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 14,
"vocab_size": 14
} | 34 | Python | 28 | ea6d86e6c4bb6037465410db6205a7471bc81a6c | test_customfields.py | 266,037 | 10 | 92 | test_missing_required_field | https://github.com/netbox-community/netbox.git | Closes #10052: The cf attribute now returns deserialized custom field data | 115 | 0 | 78,274 | 11 | |
22 | 38 | def get_annotations(obj, *, globals=None, locals=None, eval_str=False):
if isinstance(obj, type):
# class
obj_dict = getattr(obj, '__dict__', None)
if obj_dict and hasattr(obj_dict, 'get'):
ann = obj_dict.get('__annotations__', None)
if isinstance(ann, types.GetS... | python3.10.4/Lib/inspect.py | 573 | XX-Net | {
"docstring": "Compute the annotations dict for an object.\n\n obj may be a callable, class, or module.\n Passing in an object of any other type raises TypeError.\n\n Returns a dict. get_annotations() returns a new dict every time\n it's called; calling it twice on the same object will return two\n d... | 222 | Python | 108 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | inspect.py | 218,384 | 56 | 347 | get_annotations | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 676 | 0 | 55,272 | 15 | |
4 | 14 | def load_weights(self, filepath, by_name=False, skip_mismatch=False):
if backend.is_tpu_strategy(self._distribution_strategy):
if self._distribution_strategy.extended.steps_per_run > 1 and (
not saving_utils.is_hdf5_filepath(filepath)
):
raise Val... | keras/engine/training_v1.py | 113 | keras | {
"docstring": "Loads all layer weights, either from a TensorFlow or an HDF5 file.\n\n If `by_name` is False weights are loaded based on the network's\n topology. This means the architecture should be the same as when the\n weights were saved. Note that layers that don't have weights are not\n ... | 39 | Python | 35 | e69dd22bc51b28b9f311c81abed92dfe46e82960 | training_v1.py | 280,645 | 12 | 70 | load_weights | https://github.com/keras-team/keras.git | Add ability to do partial reloading of v3 models.
PiperOrigin-RevId: 493123409 | 183 | 0 | 83,407 | 13 | |
3 | 16 | def get_mode_of_payments(invoice_list):
mode_of_payments = {}
if invoice_list:
inv_mop = frappe.db.sql(
% ", ".join(["%s"] * len(invoice_list)),
tuple(invoice_list),
as_dict=1,
)
for d in inv_mop:
mode_of_payments.setdefault(d.parent, []).append(d.mode_of_payment)
return mode_of_payments
| erpnext/accounts/report/sales_register/sales_register.py | 116 | erpnext | {
"docstring": "select parent, mode_of_payment\n\t\t\tfrom `tabSales Invoice Payment` where parent in (%s) group by parent, mode_of_payment",
"language": "en",
"n_whitespaces": 13,
"n_words": 15,
"vocab_size": 13
} | 26 | Python | 24 | 494bd9ef78313436f0424b918f200dab8fc7c20b | sales_register.py | 65,345 | 13 | 71 | get_mode_of_payments | https://github.com/frappe/erpnext.git | style: format code with black | 15 | 0 | 13,866 | 16 | |
6 | 11 | def assert_configs_are_equivalent_besides_ids(config1, config2):
assert config1["mode"] == config2["mode"], "Modes are different"
assert config1["theme"] == config2["theme"], "Themes are different"
assert len(config1["components"]) == len(
config2["components"]
), "# of components are diffe... | gradio/utils.py | 213 | gradio | {
"docstring": "Allows you to test if two different Blocks configs produce the same demo.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | 57 | Python | 43 | dc6175a21d7ccf922d53379df5a35111bd1093fd | utils.py | 180,043 | 27 | 310 | assert_configs_are_equivalent_besides_ids | https://github.com/gradio-app/gradio.git | tabbed-interface-rewritten (#958) | 120 | 0 | 43,068 | 11 | |
22 | 63 | def execute_list_collection(self, artifacts_manager=None):
if artifacts_manager is not None:
artifacts_manager.require_build_metadata = False
output_format = context.CLIARGS['output_format']
collections_search_paths = set(context.CLIARGS['collections_path'])
collect... | lib/ansible/cli/galaxy.py | 892 | ansible | {
"docstring": "\n List all collections installed on the local system\n\n :param artifacts_manager: Artifacts manager.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 12,
"vocab_size": 12
} | 332 | Python | 160 | 05608b20e8f875d51866a184f8c579fe60498e05 | galaxy.py | 267,729 | 82 | 529 | execute_list_collection | https://github.com/ansible/ansible.git | Fix listing collections that are missing the metadata required by build (#76596)
* Rethread pr/70185 through the dependency resolver
Hang optional metadata toggle on the ConcreteArtifactsManager instead of threading it through whole list codepath
Don't error while listing collections if a collection's metadata i... | 1,630 | 0 | 79,020 | 18 | |
1 | 2 | def piecolorway(self):
return self["piecolorway"]
| packages/python/plotly/plotly/graph_objs/_layout.py | 22 | plotly.py | {
"docstring": "\n Sets the default pie slice colors. Defaults to the main\n `colorway` used for trace colors. If you specify a new list\n here it can still be extended with lighter and darker colors,\n see `extendpiecolors`.\n\n The 'piecolorway' property is a colorlist that may be... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _layout.py | 227,384 | 2 | 11 | piecolorway | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 59,057 | 7 | |
4 | 14 | def _generate_object_paths(object_graph_def):
paths = {0: "root"}
nodes_to_visit = [0]
while nodes_to_visit:
current_node = nodes_to_visit.pop()
current_path = paths[current_node]
for reference in object_graph_def.nodes[current_node].children:
if reference.node_id i... | keras/saving/saved_model/load.py | 133 | keras | {
"docstring": "Traverses through an ObjectGraphDef and builds a map of all node paths.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | 35 | Python | 29 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | load.py | 276,019 | 14 | 81 | _generate_object_paths | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 145 | 0 | 81,529 | 13 | |
1 | 2 | def notchwidth(self):
return self["notchwidth"]
| packages/python/plotly/plotly/graph_objs/_box.py | 22 | plotly.py | {
"docstring": "\n Sets the width of the notches relative to the box' width. For\n example, with 0, the notches are as wide as the box(es).\n\n The 'notchwidth' property is a number and may be specified as:\n - An int or float in the interval [0, 0.5]\n\n Returns\n -------\... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _box.py | 226,312 | 2 | 11 | notchwidth | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 57,985 | 7 | |
1 | 16 | def python_slice_replace(funcstr):
# parse the input parameters
pattern = 'torch\.slice\((.*)\)'
parameter_str = re.findall(pattern, funcstr)
parameters = re.split(',', parameter_str[0])
target_tensor = parameters[0]
dim = int(parameters[1])
dim_str = ','.join([':']*(dim) + [':'.join(pa... | nni/compression/pytorch/utils/utils.py | 182 | nni | {
"docstring": "\n translate the torch.slice to the appropriate python str that can be replace\n in the forward function string.\n\n Parameters\n ----------\n funcstr: str\n the str that calling the torch.slice, for example:\n _8 = torch.slice(attention_mask, 0, 0, 9223372036854775807, 1)... | 45 | Python | 33 | 97d067e614243f06ed1f8e2d389512977fff8828 | utils.py | 113,277 | 11 | 107 | python_slice_replace | https://github.com/microsoft/nni.git | Speedup enhancement (#4925) | 85 | 0 | 24,877 | 14 | |
14 | 43 | def forward(self, input, encoder_state, embedded_input=None, incr_state=None):
encoder_output, encoder_mask = encoder_state
if input is not None:
seq_len = input.size(1)
positions = input.new(seq_len).long()
else:
seq_len = embedded_input.size(1)
... | projects/style_gen/modules.py | 608 | ParlAI | {
"docstring": "\n Forward pass with the ability to pass in token-embedded inputs.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 9
} | 203 | Python | 113 | ecdfbd0bb2ab76876e9fd3817d4502c3938a2ade | modules.py | 195,059 | 53 | 378 | forward | https://github.com/facebookresearch/ParlAI.git | Decoder-Only Transformer (#4329)
* quick and dirty decoder-only implementation
* fix decoder_only incremental decoding
* remove unused code, add some comments, propogate func signature change
* consolidate code in decoder.py
* unify encoder_state
* export PassThroughEncoder
* add missing build_ funct... | 795 | 0 | 47,178 | 16 | |
2 | 19 | def xkcd(scale=1, length=100, randomness=2):
# This cannot be implemented in terms of contextmanager() or rc_context()
# because this needs to work as a non-contextmanager too.
if rcParams['text.usetex']:
raise RuntimeError(
"xkcd mode is not compatible with text.usetex = True")
... | lib/matplotlib/pyplot.py | 281 | @_api.make_keyword_only("3.6", "facecolor") | matplotlib | {
"docstring": "\n Turn on `xkcd <https://xkcd.com/>`_ sketch-style drawing mode. This will\n only have effect on things drawn after this function is called.\n\n For best results, the \"Humor Sans\" font should be installed: it is\n not included with Matplotlib.\n\n Parameters\n ----------\n sca... | 100 | Python | 92 | 2d918ba09155810194bb4ba136369082ad46c8c8 | pyplot.py | 109,118 | 27 | 158 | xkcd | https://github.com/matplotlib/matplotlib.git | Simplify impl. of functions optionally used as context managers.
We can actually just put the "exit" logic into an ExitStack callback.
If the return value is never `__enter__`'d via a "with" statement, it is
never `__exit__`'d either. | 285 | 1 | 23,441 | 14 |
20 | 40 | def post_validate(self, templar):
# save the omit value for later checking
omit_value = templar.available_variables.get('omit')
for (name, attribute) in self.fattributes.items():
if attribute.static:
value = getattr(self, name)
# we don't t... | lib/ansible/playbook/base.py | 611 | ansible | {
"docstring": "\n we can't tell that everything is of the right type until we have\n all the variables. Run basic types (from isa) as well as\n any _post_validate_<foo> functions.\n ",
"language": "en",
"n_whitespaces": 57,
"n_words": 27,
"vocab_size": 24
} | 376 | Python | 187 | 43153c58310d02223f2cb0964f4255ba1ac4ed53 | base.py | 267,571 | 45 | 373 | post_validate | https://github.com/ansible/ansible.git | `FieldAttribute`s as descriptors (#73908) | 1,300 | 0 | 78,953 | 20 | |
5 | 17 | def wait_for_nodes(self, timeout=30):
start_time = time.time()
while time.time() - start_time < timeout:
clients = self.global_state.node_table()
live_clients = [client for client in clients if client["Alive"]]
expected = len(self.list_all_nodes())
... | python/ray/cluster_utils.py | 182 | ray | {
"docstring": "Waits for correct number of nodes to be registered.\n\n This will wait until the number of live nodes in the client table\n exactly matches the number of \"add_node\" calls minus the number of\n \"remove_node\" calls that have been made on this cluster. This means\n that if... | 61 | Python | 49 | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | cluster_utils.py | 130,567 | 16 | 100 | wait_for_nodes | https://github.com/ray-project/ray.git | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 257 | 0 | 29,306 | 17 | |
2 | 14 | def rotate_point(pin, r):
if isinstance(r, tuple):
# if r is of the form (vector, angle)
q = Quaternion.from_axis_angle(r[0], r[1])
else:
# if r is a quaternion
q = r.normalize()
pout = q * Quaternion(0, pin[0], pin[1], pin[2]) * conjugate... | sympy/algebras/quaternion.py | 126 | sympy | {
"docstring": "Returns the coordinates of the point pin(a 3 tuple) after rotation.\n\n Parameters\n ==========\n\n pin : tuple\n A 3-element tuple of coordinates of a point which needs to be\n rotated.\n r : Quaternion or tuple\n Axis and angle of rotation... | 43 | Python | 33 | 498015021131af4dbb07eb110e5badaba8250c7b | quaternion.py | 196,016 | 7 | 83 | rotate_point | https://github.com/sympy/sympy.git | Updated import locations | 122 | 0 | 47,516 | 11 | |
3 | 16 | def vstack(tup, *, dtype=None, casting="same_kind"):
if not overrides.ARRAY_FUNCTION_ENABLED:
# raise warning if necessary
_arrays_for_stack_dispatcher(tup, stacklevel=2)
arrs = atleast_2d(*tup)
if not isinstance(arrs, list):
arrs = [arrs]
return _nx.concatenate(arrs, 0, dty... | numpy/core/shape_base.py | 117 | @array_function_dispatch(_vhstack_dispatcher) | numpy | {
"docstring": "\n Stack arrays in sequence vertically (row wise).\n\n This is equivalent to concatenation along the first axis after 1-D arrays\n of shape `(N,)` have been reshaped to `(1,N)`. Rebuilds arrays divided by\n `vsplit`.\n\n This function makes most sense for arrays with up to 3 dimensions.... | 31 | Python | 26 | 126046f84449fffeb0c75ae88657ce6b90236eee | shape_base.py | 160,599 | 7 | 68 | vstack | https://github.com/numpy/numpy.git | ENH: adding casting option to numpy.stack. (#21627)
np.concatenate and np.stack are similar methods, but only np.concatenate has the casting option.
This PR puts the casting option into the np.stack method to control what kind of data casting may occur
Closes gh-20959
* ENH: adding casting option to numpy.sta... | 66 | 1 | 38,662 | 10 |
13 | 8 | def _determine_setitem_axis(self, row_lookup, col_lookup, row_scalar, col_scalar):
if self.df.shape == (1, 1):
return None if not (row_scalar ^ col_scalar) else 1 if row_scalar else 0
| modin/pandas/indexing.py | 61 | modin | {
"docstring": "\n Determine an axis along which we should do an assignment.\n\n Parameters\n ----------\n row_lookup : slice or list\n Indexer for rows.\n col_lookup : slice or list\n Indexer for columns.\n row_scalar : bool\n Whether indexer... | 24 | Python | 21 | 0d9d14e6669be3dd6bb3b72222dbe6a6dffe1bee | indexing.py | 152,952 | 23 | 156 | _determine_setitem_axis | https://github.com/modin-project/modin.git | FIX-#3860: Fix single row Series assignment. (#3894)
Signed-off-by: mvashishtha <mahesh@ponder.io> | 49 | 0 | 35,201 | 11 | |
6 | 39 | def _upsample_2d(self, hidden_states, weight=None, kernel=None, factor=2, gain=1):
assert isinstance(factor, int) and factor >= 1
# Setup filter kernel.
if kernel is None:
kernel = [1] * factor
# setup kernel
kernel = torch.tensor(kernel, dtype=torch.float... | src/diffusers/models/resnet.py | 660 | diffusers | {
"docstring": "Fused `upsample_2d()` followed by `Conv2d()`.\n\n Padding is performed only once at the beginning, not between the operations. The fused op is considerably more\n efficient than performing the same calculation using standard TensorFlow ops. It supports gradients of\n arbitrary ord... | 220 | Python | 109 | a73f8b725105b12a60a9b22918bda68f8b6d26c3 | resnet.py | 337,070 | 45 | 430 | _upsample_2d | https://github.com/huggingface/diffusers.git | Clean up resnet.py file (#780)
* clean up resnet.py
* make style and quality
* minor formatting | 759 | 0 | 120,955 | 18 | |
3 | 8 | def validate_thread_sharing(self):
if not (self.allow_thread_sharing or self._thread_ident == _thread.get_ident()):
raise DatabaseError(
"DatabaseWrapper objects created in a "
"thread can only be used in that same thread. The object "
"with a... | django/db/backends/base/base.py | 86 | django | {
"docstring": "\n Validate that the connection isn't accessed by another thread than the\n one which originally created it, unless the connection was explicitly\n authorized to be shared between threads (via the `inc_thread_sharing()`\n method). Raise an exception if the validation fails.... | 54 | Python | 46 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | base.py | 204,824 | 8 | 48 | validate_thread_sharing | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 153 | 0 | 50,907 | 13 | |
5 | 14 | def process_response(self, request, response):
# If the given URL is "Not Found", then check if we should redirect to
# a path with a slash appended.
if response.status_code == 404 and self.should_redirect_with_slash(request):
return self.response_redirect_class(self.get_ful... | django/middleware/common.py | 117 | django | {
"docstring": "\n When the status code of the response is 404, it may redirect to a path\n with an appended slash if should_redirect_with_slash() returns True.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 23,
"vocab_size": 22
} | 58 | Python | 45 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | common.py | 206,137 | 6 | 68 | process_response | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 136 | 0 | 51,379 | 13 | |
1 | 32 | def test_duplicate_statistics_handle_integrity_error(hass_recorder, caplog):
hass = hass_recorder()
wait_recording_done(hass)
period1 = dt_util.as_utc(dt_util.parse_datetime("2021-09-01 00:00:00"))
period2 = dt_util.as_utc(dt_util.parse_datetime("2021-09-30 23:00:00"))
external_energy_metadat... | tests/components/recorder/test_statistics.py | 387 | core | {
"docstring": "Test the recorder does not blow up if statistics is duplicated.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | 117 | Python | 79 | dd20a7ea62fc003748c5f0cf99be25c69c9b5a05 | test_statistics.py | 307,759 | 50 | 224 | test_duplicate_statistics_handle_integrity_error | https://github.com/home-assistant/core.git | Display statistics in the source's unit (#78031) | 447 | 0 | 106,525 | 14 | |
13 | 64 | def save_model(model, filepath, weights_format="h5", use_zip=True):
if not filepath.endswith(".keras"):
raise ValueError(
"Invalid filename: expected a `.keras` extension. "
f"Received: filepath={filepath}"
)
if weights_format == "h5" and h5py is None:
raise ... | keras/saving/experimental/saving_lib.py | 634 | keras | {
"docstring": "Save an archive representing a Keras model to the given filepath.\n\n The zip-based archive contains the following structure:\n\n - JSON configuration file (`config.json`): Records of model, layer, and\n other object configurations.\n - Npz or h5 model variables file (`variables.npz` o... | 242 | Python | 167 | 0b393d4049afd187ed7d24ea70177a72cf4a3ce2 | saving_lib.py | 280,163 | 66 | 363 | save_model | https://github.com/keras-team/keras.git | New saving: add npz support and make zipping optional.
We should decide which store to go with by default. h5 is faster, but only marginally so. Zip has no speed impact (the long saving/loading time was due to the breakdown into many files/dirs previously). But it has a temporary disk space impact.
Note: Using h5 wit... | 800 | 0 | 83,277 | 16 | |
2 | 6 | def cleanup(self) -> None:
if self.remove_config:
os.remove(self.config_path)
| test/lib/ansible_test/_internal/commands/integration/cloud/__init__.py | 37 | ansible | {
"docstring": "Clean up the cloud resource and any temporary configuration files after tests complete.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | 7 | Python | 7 | 3eb0485dd92c88cc92152d3656d94492db44b183 | __init__.py | 267,825 | 4 | 21 | cleanup | https://github.com/ansible/ansible.git | ansible-test - Use more native type hints. (#78435)
* ansible-test - Use more native type hints.
Simple search and replace to switch from comments to native type hints for return types of functions with no arguments.
* ansible-test - Use more native type hints.
Conversion of simple single-line function annota... | 32 | 0 | 79,106 | 10 | |
2 | 9 | def notna(obj): # noqa: PR01, RT01, D200
if isinstance(obj, BasePandasDataset):
return obj.notna()
else:
return pandas.notna(obj)
notnull = notna
@_inherit_docstrings(pandas.merge, apilink="pandas.merge") | modin/pandas/general.py | 75 | @_inherit_docstrings(pandas.merge, apilink="pandas.merge") | modin | {
"docstring": "\n Detect non-missing values for an array-like object.\n ",
"language": "en",
"n_whitespaces": 14,
"n_words": 7,
"vocab_size": 7
} | 20 | Python | 19 | 2809f7c12384e2615390bcb76f2e7f0d88a3fffa | general.py | 153,687 | 5 | 29 | notna | https://github.com/modin-project/modin.git | DOCS-#4336: Reformat general utilities docstrings (#4338)
Co-authored-by: Yaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Alexander Myskov <alexander.myskov@intel.com> | 42 | 1 | 35,545 | 10 |
14 | 38 | def sample(self) -> SampleBatchType:
if self.fake_sampler and self.last_batch is not None:
return self.last_batch
elif self.input_reader is None:
raise ValueError(
"RolloutWorker has no `input_reader` object! "
"Cannot call `sample()`. You... | rllib/evaluation/rollout_worker.py | 430 | ray | {
"docstring": "Returns a batch of experience sampled from this worker.\n\n This method must be implemented by subclasses.\n\n Returns:\n A columnar batch of experiences (e.g., tensors).\n\n Examples:\n >>> import gym\n >>> from ray.rllib.evaluation.rollout_worker... | 163 | Python | 109 | d6b6dc560dd2920bf8ee1e4de01c4ec25fdab555 | rollout_worker.py | 128,786 | 62 | 249 | sample | https://github.com/ray-project/ray.git | [AIR] Address multiple warnings in AIR examples (#28800)
These changes address warnings and errors in several of the AIR examples. They're all small changes, so I've batched them together in this PR:
- Fixed `concant_samples` deprecation warning, which appears in `rollout_worker.py`
- Fixed call to `randrange` whi... | 654 | 0 | 28,809 | 13 | |
1 | 30 | def benchmark_custom_training_mnist_bs_256(self):
batch_size = 256
run_iters = 5
train_dataset = self.train_dataset.shuffle(buffer_size=1024).batch(
batch_size
)
# Instantiate a loss function.
loss_fn = tf.keras.losses.CategoricalCrossentropy(
... | keras/benchmarks/keras_examples_benchmarks/mnist_conv_custom_training_benchmark_test.py | 197 | keras | {
"docstring": "Measure performance with batch_size=256 and run_iters=5.",
"language": "en",
"n_whitespaces": 5,
"n_words": 6,
"vocab_size": 6
} | 62 | Python | 46 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | mnist_conv_custom_training_benchmark_test.py | 269,811 | 26 | 126 | benchmark_custom_training_mnist_bs_256 | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 302 | 0 | 80,290 | 13 | |
21 | 33 | def match_submerged_margins(layoutgrids, fig):
for sfig in fig.subfigs:
match_submerged_margins(layoutgrids, sfig)
axs = [a for a in fig.get_axes()
if a.get_subplotspec() is not None and a.get_in_layout()]
for ax1 in axs:
ss1 = ax1.get_subplotspec()
if ss1.get_grid... | lib/matplotlib/_constrained_layout.py | 986 | matplotlib | {
"docstring": "\n Make the margins that are submerged inside an Axes the same size.\n\n This allows axes that span two columns (or rows) that are offset\n from one another to have the same size.\n\n This gives the proper layout for something like::\n fig = plt.figure(constrained_layout=True)\n ... | 190 | Python | 91 | c73f4c455514cf5422d27bf38c93250de8316b21 | _constrained_layout.py | 109,439 | 64 | 623 | match_submerged_margins | https://github.com/matplotlib/matplotlib.git | Merge SubplotBase into AxesBase. | 1,147 | 0 | 23,586 | 26 | |
1 | 8 | def get_returned_qty_map(delivery_note):
returned_qty_map = frappe._dict(
frappe.db.sql(
,
delivery_note,
)
)
return returned_qty_map
@frappe.whitelist() | erpnext/stock/doctype/delivery_note/delivery_note.py | 56 | @frappe.whitelist() | erpnext | {
"docstring": "returns a map: {so_detail: returned_qty}select dn_item.dn_detail, abs(dn_item.qty) as qty\n\t\tfrom `tabDelivery Note Item` dn_item, `tabDelivery Note` dn\n\t\twhere dn.name = dn_item.parent\n\t\t\tand dn.docstatus = 1\n\t\t\tand dn.is_return = 1\n\t\t\tand dn.return_against = %s\n\t",
"language": "... | 13 | Python | 11 | 494bd9ef78313436f0424b918f200dab8fc7c20b | delivery_note.py | 67,600 | 14 | 26 | get_returned_qty_map | https://github.com/frappe/erpnext.git | style: format code with black | 4 | 1 | 14,572 | 11 |
2 | 7 | def set_dash_capstyle(self, s):
cs = CapStyle(s)
if self._dashcapstyle != cs:
self.stale = True
self._dashcapstyle = cs
| lib/matplotlib/lines.py | 52 | matplotlib | {
"docstring": "\n How to draw the end caps if the line is `~Line2D.is_dashed`.\n\n The default capstyle is :rc:`lines.dash_capstyle`.\n\n Parameters\n ----------\n s : `.CapStyle` or %(CapStyle)s\n ",
"language": "en",
"n_whitespaces": 66,
"n_words": 23,
"vocab_size"... | 16 | Python | 12 | b24acb7772e0534f4bcdb0b5b492d9d94954dd91 | lines.py | 107,199 | 5 | 31 | set_dash_capstyle | https://github.com/matplotlib/matplotlib.git | DOC: Document default cap styles
- remove '(default)' from cap style demo as this is only true for Line2D
and the default rcParameters
- document default cap styles for Line2D and Patch in their cap style
setters
- document default cap style for GraphicsContextBase in the same way as
it's already done for joinst... | 55 | 0 | 22,639 | 9 | |
6 | 9 | def app_get_relative_path(requests_pathname, path):
if requests_pathname == "/" and path == "":
return "/"
if requests_pathname != "/" and path == "":
return requests_pathname
if not path.startswith("/"):
raise exceptions.UnsupportedRelativePath(
f
)
return "/... | dash/_get_paths.py | 127 | dash | {
"docstring": "\n Paths that aren't prefixed with a leading / are not supported.\n You supplied: {path}\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 14,
"vocab_size": 14
} | 33 | Python | 20 | c3c84b9ecf16bcc61ed80ec39d511af92fe07f2c | _get_paths.py | 40,164 | 13 | 67 | app_get_relative_path | https://github.com/plotly/dash.git | f-strings everywhere! fffff | 83 | 0 | 7,331 | 11 | |
7 | 31 | def translate_exprs_to_base(exprs, base):
new_exprs = dict(exprs)
frames = set()
for k, v in new_exprs.items():
v.collect_frames(frames)
frames.discard(base)
while len(frames) > 0:
mapper = InputMapper()
new_frames = set()
for frame in frames:
frame... | modin/experimental/core/execution/native/implementations/hdk_on_native/df_algebra.py | 282 | modin | {
"docstring": "\n Fold expressions.\n\n Fold expressions with their input nodes until `base`\n frame is the only input frame.\n\n Parameters\n ----------\n exprs : dict\n Expressions to translate.\n base : HdkOnNativeDataframe\n Required input frame for translated expressions.\n\n ... | 71 | Python | 47 | e5b1888cd932909e49194d58035da34b210b91c4 | df_algebra.py | 154,583 | 25 | 176 | translate_exprs_to_base | https://github.com/modin-project/modin.git | FEAT-#4946: Replace OmniSci with HDK (#4947)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com> | 246 | 0 | 36,093 | 14 | |
2 | 13 | def get_http_proxy_names(self) -> bytes:
if self.http_state is None:
return None
from ray.serve.generated.serve_pb2 import ActorNameList
actor_name_list = ActorNameList(
names=self.http_state.get_http_proxy_names().values()
)
return actor_name_l... | python/ray/serve/controller.py | 83 | ray | {
"docstring": "Returns the http_proxy actor name list serialized by protobuf.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 21 | Python | 20 | 65d0c0aa48be8f9f7faae857d3ab71444997755a | controller.py | 128,247 | 9 | 51 | get_http_proxy_names | https://github.com/ray-project/ray.git | [Serve] add alpha gRPC support (#28175) | 85 | 0 | 28,646 | 14 | |
1 | 2 | def decode_crop_and_flip_tf_record_batch(tf_record_batch):
| release/air_tests/air_benchmarks/mlperf-train/resnet50_ray_air.py | 13 | ray | {
"docstring": "\n This version of the preprocessor fuses the load step with the crop and flip\n step, which should have better performance (at the cost of re-executing the\n load step on each epoch):\n - the reference tf.data implementation can use the fused decode_and_crop op\n - ray.data doesn't hav... | 2 | Python | 2 | 02f911ce78137cb63ecb685a8ef8e56dcb60062c | resnet50_ray_air.py | 134,143 | 5 | 45 | decode_crop_and_flip_tf_record_batch | https://github.com/ray-project/ray.git | Benchmarking Ray Data bulk ingest as input file size changes. (#29296)
This PR adds a benchmark which takes work from https://github.com/anyscale/air-benchmarks and makes it run as a release test.
Full metrics are stored in Databricks.
Signed-off-by: Cade Daniel <cade@anyscale.com> | 5 | 0 | 30,203 | 6 | |
4 | 16 | def all_checks(ctx, connectors=None): # type: ignore[no-untyped-def]
tasks = (
black,
flake,
isort,
mypy,
coverage,
)
for task_ in tasks:
try:
task_(ctx, connectors=connectors)
except Exit as e:
if e.code:
... | airbyte-integrations/connectors/tasks.py | 107 | @task(help={"connectors": _arg_help_connectors, "write": "Write changes into the files (runs 'black' without '--check' option)"}) | airbyte | {
"docstring": "\n Run following checks one by one with default parameters: black, flake, isort, mypy, test, coverage.\n Zero exit code indicates about successful passing of all checks.\n Terminate on the first non-zero exit code.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 32,
"vocab_s... | 42 | Python | 42 | e3e05d79655bc0b2b4c3fbc0c05b8d90fce6dcd8 | tasks.py | 3,696 | 14 | 50 | all_checks | https://github.com/airbytehq/airbyte.git | update code-checkers config (#9707)
fix `all-checks` command
Signed-off-by: Sergei Solonitcyn <sergei.solonitcyn@zazmic.com> | 140 | 1 | 518 | 12 |
8 | 25 | def parseString(self, instring, parseAll=False):
ParserElement.resetCache()
if not self.streamlined:
self.streamline()
# ~ self.saveAsList = True
for e in self.ignoreExprs:
e.streamline()
if not self.keepTabs:
instring = instring.e... | .venv/lib/python3.8/site-packages/pip/_vendor/pyparsing.py | 233 | transferlearning | {
"docstring": "\n Execute the parse expression with the given string.\n This is the main interface to the client code, once the complete\n expression has been built.\n\n Returns the parsed data as a :class:`ParseResults` object, which may be\n accessed as a list, or as a dict or ob... | 80 | Python | 64 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | pyparsing.py | 63,403 | 23 | 141 | parseString | https://github.com/jindongwang/transferlearning.git | upd; format | 359 | 0 | 13,288 | 17 | |
11 | 36 | def _create_input_dict_and_dummy_batch(self, view_requirements, existing_inputs):
input_dict = {}
for view_col, view_req in view_requirements.items():
# Point state_in to the already existing self._state_inputs.
mo = re.match("state_in_(\d+)", view_col)
if mo... | rllib/policy/dynamic_tf_policy_v2.py | 346 | ray | {
"docstring": "Creates input_dict and dummy_batch for loss initialization.\n\n Used for managing the Policy's input placeholders and for loss\n initialization.\n Input_dict: Str -> tf.placeholders, dummy_batch: str -> np.arrays.\n\n Args:\n view_requirements (ViewReqs): The vie... | 164 | Python | 107 | bc3a1d35cf6e9a5fd7eef908a8e76aefb80ce6a9 | dynamic_tf_policy_v2.py | 139,481 | 35 | 214 | _create_input_dict_and_dummy_batch | https://github.com/ray-project/ray.git | [RLlib] Introduce new policy base classes. (#24742) | 891 | 0 | 31,711 | 18 | |
8 | 2 | def lock(remote=None):
| salt/fileserver/hgfs.py | 16 | salt | {
"docstring": "\n Place an update.lk\n\n ``remote`` can either be a dictionary containing repo configuration\n information, or a pattern. If the latter, then remotes for which the URL\n matches the pattern will be locked.\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 31,
"vocab_size":... | 2 | Python | 2 | 06aeefffad82d8f5db43b4429aeae87bad735acf | hgfs.py | 216,569 | 21 | 115 | lock | https://github.com/saltstack/salt.git | Don't leak sub-processes
Signed-off-by: Pedro Algarvio <palgarvio@vmware.com> | 5 | 0 | 54,644 | 6 | |
5 | 12 | def log_img_scale(img_scale, shape_order='hw', skip_square=False):
if shape_order == 'hw':
height, width = img_scale
elif shape_order == 'wh':
width, height = img_scale
else:
raise ValueError(f'Invalid shape_order {shape_order}.')
if skip_square and (height == width):
... | mmdet/utils/logger.py | 141 | mmdetection | {
"docstring": "Log image size.\n\n Args:\n img_scale (tuple): Image size to be logged.\n shape_order (str, optional): The order of image shape.\n 'hw' for (height, width) and 'wh' for (width, height).\n Defaults to 'hw'.\n skip_square (bool, optional): Whether to skip lo... | 47 | Python | 37 | 8d7da432af02a52bc5330b30997984335d0930a4 | logger.py | 244,075 | 13 | 72 | log_img_scale | https://github.com/open-mmlab/mmdetection.git | Update YOLOX log for non square input (#7235) | 102 | 0 | 70,229 | 12 | |
2 | 8 | def get_category(cls):
if hasattr(cls, 'category'):
return cls.category
return cls.model._meta.app_config.verbose_name
| netbox/netbox/search/__init__.py | 48 | netbox | {
"docstring": "\n Return the title of the search category under which this model is registered.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 13,
"vocab_size": 12
} | 9 | Python | 8 | ffce5d968d8a77c97852999b6ef916e80c1de55f | __init__.py | 265,839 | 4 | 28 | get_category | https://github.com/netbox-community/netbox.git | 8927 plugin search (#10489)
* #7016 base search classes
* 7016 add search indexes
* 7016 add search indexes
* 7016 add search indexes
* 7016 add search indexes
* 7016 add search indexes
* 7016 add search indexes
* 8927 refactor search
* 8927 refactor search
* 8927 refactor search
* 8927 r... | 41 | 0 | 78,210 | 9 | |
5 | 11 | def _get_animated_artists(self):
return tuple(a for ax_ in self.ax.get_figure().get_axes()
for a in ax_.get_children()
if a.get_animated() and a not in self.artists)
| lib/matplotlib/widgets.py | 75 | matplotlib | {
"docstring": "\n Convenience method to get all animated artists of the figure containing\n this widget, excluding those already present in self.artists.\n The returned tuple is not sorted by 'z_order': z_order sorting is\n valid only when considering all artists and not only a subset of ... | 19 | Python | 15 | 7603999becc00d39f7616ed20e426e776144cda1 | widgets.py | 107,073 | 4 | 46 | _get_animated_artists | https://github.com/matplotlib/matplotlib.git | Improve docstring and add comments | 73 | 0 | 22,587 | 13 | |
11 | 42 | def fit(self, X, y=None):
subset_df = pd.read_csv(self.subset_list, header=0, index_col=0)
if isinstance(self.sel_subset, int):
self.sel_subset_name = subset_df.index[self.sel_subset]
elif isinstance(self.sel_subset, str):
self.sel_subset_name = self.sel_subset
... | tpot/builtins/feature_set_selector.py | 500 | tpot | {
"docstring": "Fit FeatureSetSelector for feature selection\n\n Parameters\n ----------\n X: array-like of shape (n_samples, n_features)\n The training input samples.\n y: array-like, shape (n_samples,)\n The target values (integers that correspond to classes in clas... | 109 | Python | 69 | 388616b6247ca4ea8de4e2f340d6206aee523541 | feature_set_selector.py | 181,853 | 29 | 313 | fit | https://github.com/EpistasisLab/tpot.git | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | 404 | 0 | 43,622 | 18 | |
1 | 2 | def removesrc(self):
return self["removesrc"]
| packages/python/plotly/plotly/graph_objs/layout/_modebar.py | 22 | plotly.py | {
"docstring": "\n Sets the source reference on Chart Studio Cloud for `remove`.\n\n The 'removesrc' property must be specified as a string or\n as a plotly.grid_objs.Column object\n\n Returns\n -------\n str\n ",
"language": "en",
"n_whitespaces": 77,
"n_words":... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _modebar.py | 231,617 | 2 | 11 | removesrc | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 63,061 | 7 | |
1 | 5 | def __len__(self) -> int:
return len(self._valid_keys)
| rllib/policy/policy_map.py | 27 | ray | {
"docstring": "Returns number of all policies, including the stashed-to-disk ones.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 6 | Python | 6 | ed3f3c08225c7049a96a290b586c67c37e2d0bc0 | policy_map.py | 137,052 | 3 | 15 | __len__ | https://github.com/ray-project/ray.git | [RLlib] PolicyMap LRU cache enhancements: Swap out policies (instead of GC'ing and recreating) + use Ray object store (instead of file system). (#29513) | 20 | 0 | 31,064 | 8 | |
1 | 8 | def test_copy_keep_live_false_not_emits_signal(self):
homepage = Page.objects.get(url_path="/home/")
signal_fired = False
| wagtail/core/tests/test_page_model.py | 39 | wagtail | {
"docstring": "Test that copying of a live page with keep_live=False not emits a page_published signal.",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
} | 8 | Python | 7 | d10f15e55806c6944827d801cd9c2d53f5da4186 | test_page_model.py | 74,351 | 7 | 51 | test_copy_keep_live_false_not_emits_signal | https://github.com/wagtail/wagtail.git | Reformat with black | 29 | 0 | 16,249 | 10 | |
2 | 7 | def SqueezeAndExciteBlock(filters_in, se_filters, name=None):
if name is None:
name = str(backend.get_uid("squeeze_and_excite"))
| keras/applications/regnet.py | 48 | keras | {
"docstring": "Implements the Squeeze and excite block (https://arxiv.org/abs/1709.01507).\n\n Args:\n filters_in: input filters to the block\n se_filters: filters to squeeze to\n name: name prefix\n\n Returns:\n A function object\n ",
"language": "en",
"n_whitespaces": 55,
"n_word... | 11 | Python | 10 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | regnet.py | 269,416 | 5 | 32 | SqueezeAndExciteBlock | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 24 | 0 | 80,065 | 13 | |
4 | 16 | def _sanitize_column(self, value) -> ArrayLike:
self._ensure_valid_index(value)
# We should never get here with DataFrame value
if isinstance(value, Series):
return _reindex_for_setitem(value, self.index)
elif isinstance(value, dict):
return _reindex_for... | pandas/core/frame.py | 132 | pandas | {
"docstring": "\n Ensures new columns (which go into the BlockManager as new blocks) are\n always copied and converted into an array.\n\n Parameters\n ----------\n value : scalar, Series, or array-like\n\n Returns\n -------\n numpy.ndarray or ExtensionArray\n ... | 36 | Python | 30 | cd2b8196c519b58c82cccdb8472d86c1c58f9511 | frame.py | 167,519 | 21 | 86 | _sanitize_column | https://github.com/pandas-dev/pandas.git | BUG: DataFrame.loc not aligning dict when setting to a column (#47361)
* BUG: DataFrame.loc not aligning dict when setting to a column
* Add partial case
* Use is_dict_like
* Revert "Use is_dict_like"
This reverts commit d2708512b751c6470690fdff0abc9c99404dc002. | 118 | 0 | 40,030 | 12 | |
7 | 20 | 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)... | erpnext/startup/leaderboard.py | 284 | @frappe.whitelist() | erpnext | {
"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\torde... | 96 | Python | 56 | 494bd9ef78313436f0424b918f200dab8fc7c20b | leaderboard.py | 67,568 | 40 | 152 | get_all_items | https://github.com/frappe/erpnext.git | style: format code with black | 65 | 1 | 14,559 | 14 |
2 | 7 | def _get_reconciled_name_object(self, other) -> MultiIndex:
names = self._maybe_match_names(other)
if self.names != names:
# error: Cannot determine type of "rename"
return self.rename(names) # type: ignore[has-type]
return self
| pandas/core/indexes/multi.py | 58 | pandas | {
"docstring": "\n If the result of a set operation will be self,\n return self, unless the names change, in which\n case make a shallow copy of self.\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 25,
"vocab_size": 21
} | 26 | Python | 24 | 5c66e65d7b9fef47ccb585ce2fd0b3ea18dc82ea | multi.py | 169,226 | 10 | 34 | _get_reconciled_name_object | https://github.com/pandas-dev/pandas.git | TYP: type all arguments with bool default values (#48624)
* TYP: type all arguments with bool default values
* bool_t
* ignore type error in pandas/core/arrays/sparse/accessor.py | 77 | 0 | 40,404 | 9 | |
2 | 6 | def is_equilateral(self):
return not has_variety(s.length for s in self.sides)
| sympy/geometry/polygon.py | 34 | sympy | {
"docstring": "Are all the sides the same length?\n\n Returns\n =======\n\n is_equilateral : boolean\n\n See Also\n ========\n\n sympy.geometry.entity.GeometryEntity.is_similar, RegularPolygon\n is_isosceles, is_right, is_scalene\n\n Examples\n ========\... | 9 | Python | 9 | 498015021131af4dbb07eb110e5badaba8250c7b | polygon.py | 196,312 | 2 | 20 | is_equilateral | https://github.com/sympy/sympy.git | Updated import locations | 23 | 0 | 47,812 | 10 | |
3 | 18 | def makeport(self):
sock = socket.create_server(("", 0), family=self.af, backlog=1)
port = sock.getsockname()[1] # Get proper port
host = self.sock.getsockname()[0] # Get proper host
if self.af == socket.AF_INET:
resp = self.sendport(host, port)
else:
... | python3.10.4/Lib/ftplib.py | 159 | XX-Net | {
"docstring": "Create a new socket and send a PORT command for it.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | 43 | Python | 30 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | ftplib.py | 217,444 | 11 | 99 | makeport | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 132 | 0 | 54,789 | 11 | |
2 | 13 | def test_in1d_mixed_boolean(self, kind):
for dtype in np.typecodes["AllInteger"]:
a = np.array([True, False, False], dtype=bool)
b = np.array([1, 1, 1, 1], dtype=dtype)
expected = np.array([True, False, False], dtype=bool)
assert_array_equal(in1d(a, b, ki... | numpy/lib/tests/test_arraysetops.py | 188 | numpy | {
"docstring": "Test that in1d works as expected for bool/int input.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 46 | Python | 26 | f9bed20bffd88bce06dbc8be200179edfe7580a4 | test_arraysetops.py | 160,860 | 9 | 131 | test_in1d_mixed_boolean | https://github.com/numpy/numpy.git | BUG: Fix numpy.isin for timedelta dtype (#21860)
This PR fixes the issue discussed on #12065 and #21843 where 'timedelta64' was noted to be a subtype of numpy.integer. This in principle should detect any cases where int(np.min(ar2)) fails. This PR also adds unittests for these.
* TST: Create in1d test for timedelta... | 137 | 0 | 38,763 | 12 | |
1 | 6 | def strip(self, text):
return re.sub(self.puncs_regular_exp, " ", text).strip()
| TTS/tts/utils/text/punctuation.py | 42 | TTS | {
"docstring": "Remove all the punctuations by replacing with `space`.\n\n Args:\n text (str): The text to be processed.\n\n Example::\n\n \"This is. example !\" -> \"This is example \"\n ",
"language": "en",
"n_whitespaces": 69,
"n_words": 26,
"vocab_size": 23
} | 8 | Python | 8 | 8d85af84cd5f1748f979fddcbc4aab1449f61ecb | punctuation.py | 261,971 | 2 | 25 | strip | https://github.com/coqui-ai/TTS.git | Implement Punctuation class | 22 | 0 | 77,086 | 10 | |
4 | 9 | def dispatch_line(self, frame):
if self.stop_here(frame) or self.break_here(frame):
self.user_line(frame)
if self.quitting: raise BdbQuit
return self.trace_dispatch
| python3.10.4/Lib/bdb.py | 66 | XX-Net | {
"docstring": "Invoke user function and return trace function for line event.\n\n If the debugger stops on the current line, invoke\n self.user_line(). Raise BdbQuit if self.quitting is set.\n Return self.trace_dispatch to continue tracing in this scope.\n ",
"language": "en",
"n_whit... | 14 | Python | 13 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | bdb.py | 221,111 | 5 | 40 | dispatch_line | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 57 | 0 | 56,214 | 9 | |
2 | 14 | def articles_from_same_day_2(self):
from django.db import connection
with connection.cursor() as cursor:
cursor.execute(
,
[connection.ops.adapt_datefield_value(self.pub_date), self.id],
)
return [self.__class__(*row) for row ... | tests/custom_methods/models.py | 105 | django | {
"docstring": "\n Verbose version of get_articles_from_same_day_1, which does a custom\n database query for the sake of demonstration.\n \n SELECT id, headline, pub_date\n FROM custom_methods_article\n WHERE pub_date = %s\n AND id !... | 21 | Python | 21 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | models.py | 202,517 | 12 | 63 | articles_from_same_day_2 | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 105 | 0 | 50,143 | 13 | |
1 | 8 | def async_create_post_interval_update_cb(self) -> None:
self._post_interval_update_cb_canceller = async_call_later(
self.hass,
get_unavailability_interval(self.ping_interval),
self.async_post_interval_update,
)
| homeassistant/components/sia/sia_entity_base.py | 48 | core | {
"docstring": "Create a port interval update cb and store the callback.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 11 | Python | 11 | af4e37339a39badd5596e8bc9ba86d6c1994aa1b | sia_entity_base.py | 291,944 | 7 | 30 | async_create_post_interval_update_cb | https://github.com/home-assistant/core.git | Add Connectivity sensor to SIA (#64305)
* implemented connectivity sensor
* further cleanup off update code
* cleanup and tighter behaviour for attributes
* added seperate connectivity class to binary sensor
* callbacks and keys
* redid name and unique_id logic, non-breaking result
* using entry more... | 65 | 0 | 91,047 | 11 | |
2 | 22 | def test_rate_reached_perf_issue(self):
snooze = GroupSnooze.objects.create(group=self.perf_group, count=10, window=24 * 60)
for i in range(0, 10):
self.store_transaction(
environment=None,
project_id=self.project.id,
user_id=str(i),
... | tests/sentry/models/test_groupsnooze.py | 124 | sentry | {
"docstring": "Test when a performance issue is ignored until it happens 10 times in a day",
"language": "en",
"n_whitespaces": 14,
"n_words": 15,
"vocab_size": 14
} | 23 | Python | 23 | d745edbd591063f2c3241cd1960c361834058823 | test_groupsnooze.py | 86,308 | 10 | 82 | test_rate_reached_perf_issue | https://github.com/getsentry/sentry.git | ref(perf issues): Enable ignore in a time period (#39120)
Enable ignoring a performance issue in a time period e.g. ignore this
until it happens 10x / hr or ignore until 10 users experience it in an
hour. | 133 | 0 | 18,097 | 12 | |
1 | 10 | def test_lazy_load_get_prep_value(self):
with self.assertNumQueries(1):
instance = self.model.objects.get(pk=self.with_image.pk)
# Expect a single UPDATE to update the model, without any additional
# SELECT related to the image block that has not been accessed.
with... | wagtail/tests/test_streamfield.py | 82 | wagtail | {
"docstring": "\n Saving a lazy StreamField that hasn't had its data accessed should not\n cause extra database queries by loading and then re-saving block values.\n Instead the initial JSON stream data should be written back for any\n blocks that have not been accessed.\n ",
"la... | 34 | Python | 29 | dcae64c255f2fe97f658b1a3f438d3644b197661 | test_streamfield.py | 76,619 | 5 | 45 | test_lazy_load_get_prep_value | https://github.com/wagtail/wagtail.git | Allow `StreamField` to use `JSONField` internal type via `use_json_field` kwarg
Add system check for use_json_field in StreamField
Change system check level to Warning
Add use_json_field argument to StreamField in test models
Use RemovedInWagtail219Warning instead of a system check
Handle unpacked values in to_pyt... | 91 | 0 | 16,555 | 13 | |
5 | 32 | def gen_quad_from_poly(self, poly):
point_num = poly.shape[0]
min_area_quad = np.zeros((4, 2), dtype=np.float32)
rect = cv2.minAreaRect(poly.astype(
np.int32)) # (center (x,y), (width, height), angle of rotation)
box = np.array(cv2.boxPoints(rect))
first_po... | PPOCRLabel/PPOCRLabel.py | 378 | PaddleOCR | {
"docstring": "\n Generate min area quad from poly.\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | 116 | Python | 64 | 3c6d551207f8eb5d0916404a7eca5e641887047d | PPOCRLabel.py | 23,430 | 24 | 192 | gen_quad_from_poly | https://github.com/PaddlePaddle/PaddleOCR.git | Support multipoint labeling
Support multipoint labeling | 358 | 0 | 4,591 | 18 | |
6 | 17 | def all_pairs_node_connectivity(G, nbunch=None, cutoff=None):
if nbunch is None:
nbunch = G
else:
nbunch = set(nbunch)
directed = G.is_directed()
if directed:
iter_func = itertools.permutations
else:
iter_func = itertools.combinations
all_pairs = {n: {} for... | networkx/algorithms/approximation/connectivity.py | 177 | networkx | {
"docstring": "Compute node connectivity between all pairs of nodes.\n\n Pairwise or local node connectivity between two distinct and nonadjacent\n nodes is the minimum number of nodes that must be removed (minimum\n separating cutset) to disconnect them. By Menger's theorem, this is equal\n to the numbe... | 58 | Python | 37 | eae1accf4a4eb8b767e82a45f9aca18785301670 | connectivity.py | 177,419 | 17 | 114 | all_pairs_node_connectivity | https://github.com/networkx/networkx.git | Added an example in all_pairs_node_connectivity (#6126)
* add missing reference in all_node_cuts flow_func parameter
* added example to all_pairs_node_connectivity
* Update networkx/algorithms/approximation/connectivity.py
Added suggestion
Co-authored-by: Ross Barnowski <rossbar@berkeley.edu>
* Update ... | 145 | 0 | 42,370 | 12 | |
2 | 9 | def require_torch_multi_gpu(test_case):
if not is_torch_available():
return unittest.skip("test requires PyTorch")(test_case)
import torch
return unittest.skipUnless(torch.cuda.device_count() > 1, "test requires multiple GPUs")(test_case)
| src/transformers/testing_utils.py | 79 | transformers | {
"docstring": "\n Decorator marking a test that requires a multi-GPU setup (in PyTorch). These tests are skipped on a machine without\n multiple GPUs.\n\n To run *only* the multi_gpu tests, assuming all test names contain multi_gpu: $ pytest -sv ./tests -k \"multi_gpu\"\n ",
"language": "en",
"n_whit... | 19 | Python | 17 | 57e6464ac9a31156f1c93e59107323e6ec01309e | testing_utils.py | 37,513 | 5 | 44 | require_torch_multi_gpu | https://github.com/huggingface/transformers.git | Update all require decorators to use skipUnless when possible (#16999) | 38 | 0 | 6,818 | 12 | |
2 | 12 | def send_gstin_reminder(party_type, party):
frappe.has_permission(party_type, throw=True)
email = _send_gstin_reminder(party_type, party)
if email:
frappe.msgprint(_("Reminder to update GSTIN Sent"), title="Reminder sent", indicator="green")
| erpnext/regional/doctype/gst_settings/gst_settings.py | 78 | erpnext | {
"docstring": "Send GSTIN reminder to one party (called from Customer, Supplier form)",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | 19 | Python | 19 | 494bd9ef78313436f0424b918f200dab8fc7c20b | gst_settings.py | 67,056 | 5 | 46 | send_gstin_reminder | https://github.com/frappe/erpnext.git | style: format code with black | 14 | 0 | 14,421 | 12 | |
1 | 10 | async def test_midnight_turnover_before_midnight_outside_period(hass):
config = {
"binary_sensor": [
{"platform": "tod", "name": "Night", "after": "22:00", "before": "5:00"}
]
}
await async_setup_component(hass, "binary_sensor", config)
await hass.async_block_till_done()... | tests/components/tod/test_binary_sensor.py | 131 | @freeze_time("2019-01-10 10:00:00-08:00") | core | {
"docstring": "Test midnight turnover setting before midnight outside period.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 7
} | 33 | Python | 31 | 23a630e0bcbd2aec6a598a19ebaf2929eba97e5b | test_binary_sensor.py | 294,292 | 10 | 62 | test_midnight_turnover_before_midnight_outside_period | https://github.com/home-assistant/core.git | Update Times of the Day tests to use freezegun (#68327) | 78 | 1 | 93,329 | 12 |
2 | 8 | def turn_off(self) -> None:
if self.state != MediaPlayerState.OFF:
self._device.send_key("POWER")
self._attr_state = MediaPlayerState.OFF
| homeassistant/components/panasonic_bluray/media_player.py | 56 | core | {
"docstring": "\n Instruct the device to turn standby.\n\n Sending the \"POWER\" button will turn the device to standby - there\n is no way to turn it completely off remotely. However this works in\n our favour as it means the device is still accepting commands and we\n can thus tu... | 12 | Python | 12 | 9ecbcd2d8fedc4f0a59f231d1f221157d4cfa359 | media_player.py | 291,472 | 12 | 32 | turn_off | https://github.com/home-assistant/core.git | Use _attr_state in panasonic bluray media player (#82834) | 44 | 0 | 90,581 | 10 | |
1 | 28 | def test_personal_message(self) -> None:
user_profile = self.example_user("hamlet")
self.login_user(user_profile)
othello = self.example_user("othello")
result = self.client_post(
"/json/messages",
{
"type": "private",
"con... | zerver/tests/test_message_send.py | 537 | zulip | {
"docstring": "\n Sending a personal message to a valid username is successful.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 9
} | 112 | Python | 66 | bd9a1dc9710293e36d2d47d970d7afb95100c2e6 | test_message_send.py | 84,758 | 43 | 318 | test_personal_message | https://github.com/zulip/zulip.git | tests: Consistently JSON-encode ‘to’ parameter
Although our POST /messages handler accepts the ‘to’ parameter with or
without JSON encoding, there are two problems with passing it as an
unencoded string.
Firstly, you’d fail to send a message to a stream named ‘true’ or
‘false’ or ‘null’ or ‘2022’, as the JSON interpr... | 478 | 0 | 17,867 | 16 | |
1 | 2 | def external_ray_cluster_activity_hook4():
raise Exception("Error in external cluster activity hook")
| python/ray/_private/test_utils.py | 22 | ray | {
"docstring": "\n Example external hook for test_component_activities_hook.\n\n Errors during execution.\n ",
"language": "en",
"n_whitespaces": 18,
"n_words": 8,
"vocab_size": 8
} | 9 | Python | 9 | 56716a1c1b6f9aae3967b910a799bb6af9f2c5d9 | test_utils.py | 124,497 | 2 | 10 | external_ray_cluster_activity_hook4 | https://github.com/ray-project/ray.git | [dashboard] Add `RAY_CLUSTER_ACTIVITY_HOOK` to `/api/component_activities` (#26297)
Add external hook to /api/component_activities endpoint in dashboard snapshot router
Change is_active field of RayActivityResponse to take an enum RayActivityStatus instead of bool. This is a backward incompatible change, but should b... | 15 | 0 | 27,614 | 8 | |
6 | 18 | def get_item_warehouse_projected_qty(items_to_consider):
item_warehouse_projected_qty = {}
for item_code, warehouse, projected_qty in frappe.db.sql(
.format(
", ".join(["%s"] * len(items_to_consider))
),
items_to_consider,
):
if item_code not in item_warehouse_projected_qty:
item_warehouse_projected_... | erpnext/stock/reorder_item.py | 265 | erpnext | {
"docstring": "select item_code, warehouse, projected_qty\n\t\tfrom tabBin where item_code in ({0})\n\t\t\tand (warehouse != \"\" and warehouse is not null)",
"language": "en",
"n_whitespaces": 16,
"n_words": 19,
"vocab_size": 18
} | 60 | Python | 44 | 494bd9ef78313436f0424b918f200dab8fc7c20b | reorder_item.py | 67,844 | 24 | 166 | get_item_warehouse_projected_qty | https://github.com/frappe/erpnext.git | style: format code with black | 38 | 0 | 14,639 | 16 | |
1 | 5 | def affine_matrix(self) -> np.ndarray:
assert self._affine_matrix is not None
return self._affine_matrix
| lib/align/detected_face.py | 35 | faceswap | {
"docstring": " :class: `numpy.ndarray`: The affine matrix to transpose the mask to a full frame. ",
"language": "en",
"n_whitespaces": 14,
"n_words": 13,
"vocab_size": 12
} | 11 | Python | 10 | 5e73437be47f2410439a3c6716de96354e6a0c94 | detected_face.py | 101,231 | 4 | 21 | affine_matrix | https://github.com/deepfakes/faceswap.git | lib.align updates:
- alignments.py
- Add typed dicts for imported alignments
- Explicitly check for presence of thumb value in alignments dict
- linting
- detected_face.py
- Typing
- Linting
- Legacy support for pre-aligned face
- Update dependencies to new property names | 32 | 0 | 20,651 | 7 | |
6 | 26 | def predict(self, X):
if self.weights == "uniform":
# In that case, we do not need the distances to perform
# the weighting so we do not compute them.
neigh_ind = self.kneighbors(X, return_distance=False)
neigh_dist = None
else:
neigh_... | sklearn/neighbors/_regression.py | 310 | scikit-learn | {
"docstring": "Predict the target for the provided data.\n\n Parameters\n ----------\n X : array-like of shape (n_queries, n_features), \\\n or (n_queries, n_indexed) if metric == 'precomputed'\n Test samples.\n\n Returns\n -------\n y : ndarray of ... | 99 | Python | 65 | fb082b223dc9f1dd327f48dc9b830ee382d6f661 | _regression.py | 258,546 | 21 | 199 | predict | https://github.com/scikit-learn/scikit-learn.git | MAINT Do not compute distances for uniform weighting (#22280) | 320 | 0 | 75,287 | 15 | |
1 | 5 | def handle_m2m_field(self, obj, field):
raise NotImplementedError(
"subclasses of Serializer must provide a handle_m2m_field() method"
)
| django/core/serializers/base.py | 27 | django | {
"docstring": "\n Called to handle a ManyToManyField.\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 5,
"vocab_size": 5
} | 15 | Python | 15 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | base.py | 204,741 | 4 | 15 | handle_m2m_field | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 47 | 0 | 50,868 | 8 | |
2 | 13 | def get_user_timezone() -> str:
filename = os.path.join(
os.path.dirname(os.path.abspath(__file__)),
"timezone.openbb",
)
if os.path.isfile(filename):
with open(filename) as f:
return f.read()
return ""
| openbb_terminal/helper_funcs.py | 105 | OpenBBTerminal | {
"docstring": "Get user timezone if it is a valid one\n\n Returns\n -------\n str\n user timezone based on timezone.openbb file\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 18,
"vocab_size": 16
} | 20 | Python | 19 | b71abcfbf4d7e8ac1855522aff0378e13c8b5362 | helper_funcs.py | 283,270 | 16 | 60 | get_user_timezone | https://github.com/OpenBB-finance/OpenBBTerminal.git | Updating some names (#1575)
* quick econ fix
* black
* keys and feature flags
* terminal name :eyes:
* some more replacements
* some more replacements
* edit pyproject
* gst -> openbb
* add example portfolios back to git
* Update api from gst
* sorry. skipping some tests
* another rou... | 67 | 0 | 84,512 | 13 | |
2 | 6 | def require_sqlalchemy(test_case):
try:
import sqlalchemy # noqa
except ImportError:
test_case = unittest.skip("test requires sqlalchemy")(test_case)
return test_case
| tests/utils.py | 50 | datasets | {
"docstring": "\n Decorator marking a test that requires SQLAlchemy.\n\n These tests are skipped when SQLAlchemy isn't installed.\n\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 15,
"vocab_size": 15
} | 16 | Python | 15 | d7dfbc83d68e87ba002c5eb2555f7a932e59038a | utils.py | 105,788 | 6 | 26 | require_sqlalchemy | https://github.com/huggingface/datasets.git | Add ability to read-write to SQL databases. (#4928)
* Add ability to read-write to SQL databases.
* Fix issue where pandas<1.4.0 doesn't return the number of rows
* Fix issue where connections were not closed properly
* Apply suggestions from code review
Co-authored-by: Quentin Lhoest <42851186+lhoestq@use... | 43 | 0 | 22,204 | 13 | |
2 | 7 | def make_tempfile(name):
open(name, 'w', encoding='utf-8').close()
try:
yield
finally:
os.unlink(name)
| IPython/testing/tools.py | 59 | ipython | {
"docstring": " Create an empty, named, temporary file for the duration of the context.\n ",
"language": "en",
"n_whitespaces": 16,
"n_words": 12,
"vocab_size": 11
} | 9 | Python | 9 | 23276ac4770f380ce1d5808950dd412a35594af1 | tools.py | 208,534 | 6 | 31 | make_tempfile | https://github.com/ipython/ipython.git | Fix EncodingWarning on Python 3.10 | 35 | 0 | 52,377 | 11 | |
2 | 14 | def findall(dir=os.curdir):
files = _find_all_simple(dir)
if dir == os.curdir:
make_rel = functools.partial(os.path.relpath, start=dir)
files = map(make_rel, files)
return list(files)
| python3.10.4/Lib/distutils/filelist.py | 84 | XX-Net | {
"docstring": "\n Find all files under 'dir' and return the list of full filenames.\n Unless dir is '.', return full filenames with dir prepended.\n ",
"language": "en",
"n_whitespaces": 32,
"n_words": 22,
"vocab_size": 19
} | 19 | Python | 16 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | filelist.py | 222,940 | 6 | 52 | findall | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 45 | 0 | 56,821 | 12 | |
1 | 29 | async def test_ip_ban_manager_never_started(hass, aiohttp_client, caplog):
app = web.Application()
app["hass"] = hass
setup_bans(hass, app, 5)
set_real_ip = mock_real_ip(app)
with patch(
"homeassistant.components.http.ban.load_yaml_config_file",
side_effect=FileNotFoundError,
... | tests/components/http/test_ban.py | 209 | @pytest.mark.parametrize(
"remote_addr, bans, status",
list(
zip(
BANNED_IPS_WITH_SUPERVISOR,
[1, 1, 0],
[HTTPStatus.FORBIDDEN, HTTPStatus.FORBIDDEN, HTTPStatus.UNAUTHORIZED],
)
),
) | core | {
"docstring": "Test we handle the ip ban manager not being started.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 72 | Python | 65 | 0c29b68cf82c777ec6fd70ce38911f1d1e39d26a | test_ban.py | 315,611 | 15 | 87 | test_ip_ban_manager_never_started | https://github.com/home-assistant/core.git | Switch linear search to a dict lookup for ip bans (#74482) | 186 | 1 | 114,189 | 12 |
10 | 32 | def remove_field(self, model, field):
# Special-case implicit M2M tables
if field.many_to_many and field.remote_field.through._meta.auto_created:
return self.delete_model(field.remote_field.through)
# It might not actually have a column behind it
if field.db_paramete... | django/db/backends/base/schema.py | 304 | django | {
"docstring": "\n Remove a field from a model. Usually involves deleting a column,\n but for M2Ms may involve deleting a table.\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 19,
"vocab_size": 15
} | 97 | Python | 79 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | schema.py | 204,933 | 21 | 190 | remove_field | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 346 | 0 | 50,985 | 13 | |
2 | 8 | def test_basic(push_channel):
msgs = [
{"foo": "bar"},
{"bar": "baz"},
{"baz": "qux", "list": [1, 2, 3]},
]
for msg in msgs:
ret = push_channel.send(msg, timeout=5, tries=1)
assert ret["load"] == msg
| tests/pytests/functional/transport/server/test_req_channel.py | 112 | salt | {
"docstring": "\n Test a variety of messages, make sure we get the expected responses\n ",
"language": "en",
"n_whitespaces": 19,
"n_words": 12,
"vocab_size": 12
} | 29 | Python | 27 | 3c7e1ec1f08abd7cd1ba78ad7880acb6ba6fdce7 | test_req_channel.py | 216,279 | 9 | 66 | test_basic | https://github.com/saltstack/salt.git | Fix minion unit tests, specifically .../tests/pytests/test_minion.py | 76 | 0 | 54,497 | 11 | |
5 | 16 | def test_upgrade_allow_downgrades(uninstall_var, upgrade_var):
with patch("salt.utils.pkg.clear_rtag", MagicMock()):
with patch(
"salt.modules.aptpkg.list_pkgs", MagicMock(return_value=uninstall_var)
):
mock_cmd = MagicMock(return_value={"retcode": 0, "stdout": upgrade_v... | tests/pytests/unit/modules/test_aptpkg.py | 270 | salt | {
"docstring": "\n Tests the allow_downgrades option for upgrade.\n ",
"language": "en",
"n_whitespaces": 13,
"n_words": 6,
"vocab_size": 6
} | 98 | Python | 61 | 9e1ca8b5b9e7006fea28f473711917755cf5a262 | test_aptpkg.py | 216,508 | 27 | 155 | test_upgrade_allow_downgrades | https://github.com/saltstack/salt.git | Add --allow-downgrades capability for apt upgrade | 505 | 0 | 54,619 | 19 | |
4 | 12 | def srs(self):
# TODO: Is caching really necessary here? Is complexity worth it?
if hasattr(self, "_srs"):
# Returning a clone of the cached SpatialReference object.
return self._srs.clone()
else:
# Attempting to cache a SpatialReference object.
... | django/contrib/gis/db/backends/base/models.py | 157 | django | {
"docstring": "\n Return a GDAL SpatialReference object.\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 5,
"vocab_size": 5
} | 82 | Python | 57 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | models.py | 203,770 | 18 | 89 | srs | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 341 | 0 | 50,533 | 14 | |
1 | 2 | def set_package(fxn):
| python3.10.4/Lib/importlib/util.py | 13 | XX-Net | {
"docstring": "Set __package__ on the returned module.\n\n This function is deprecated.\n\n ",
"language": "en",
"n_whitespaces": 16,
"n_words": 10,
"vocab_size": 10
} | 2 | Python | 2 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | util.py | 218,358 | 4 | 17 | set_package | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 5 | 0 | 55,256 | 6 | |
1 | 9 | def get_subsidiary_companies(company):
lft, rgt = frappe.get_cached_value("Company", company, ["lft", "rgt"])
return frappe.db.sql_list(
.format(
lft, rgt
)
)
| erpnext/accounts/report/consolidated_financial_statement/consolidated_financial_statement.py | 66 | erpnext | {
"docstring": "select name from `tabCompany`\n\t\twhere lft >= {0} and rgt <= {1} order by lft, rgt",
"language": "en",
"n_whitespaces": 14,
"n_words": 16,
"vocab_size": 15
} | 16 | Python | 13 | 494bd9ef78313436f0424b918f200dab8fc7c20b | consolidated_financial_statement.py | 65,209 | 8 | 39 | get_subsidiary_companies | https://github.com/frappe/erpnext.git | style: format code with black | 9 | 0 | 13,823 | 10 | |
4 | 4 | def from_dict(cls, other, name=None):
| .venv/lib/python3.8/site-packages/pip/_vendor/pyparsing.py | 20 | transferlearning | {
"docstring": "\n Helper classmethod to construct a ParseResults from a dict, preserving the\n name-value relations as results names. If an optional 'name' argument is\n given, a nested ParseResults will be returned\n ",
"language": "en",
"n_whitespaces": 58,
"n_words": 29,
"vocab... | 4 | Python | 4 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | pyparsing.py | 63,361 | 11 | 93 | from_dict | https://github.com/jindongwang/transferlearning.git | upd; format | 11 | 0 | 13,268 | 6 | |
1 | 7 | def create_view(self, request):
kwargs = {"model_admin": self}
view_class = self.create_view_class
return view_class.as_view(**kwargs)(request)
| wagtail/contrib/modeladmin/options.py | 54 | wagtail | {
"docstring": "\n Instantiates a class-based view to provide 'creation' functionality for\n the assigned model, or redirect to Wagtail's create view if the\n assigned model extends 'Page'. The view class used can be overridden by\n changing the 'create_view_class' attribute.\n ",
... | 12 | Python | 11 | d10f15e55806c6944827d801cd9c2d53f5da4186 | options.py | 73,170 | 4 | 31 | create_view | https://github.com/wagtail/wagtail.git | Reformat with black | 40 | 0 | 15,968 | 9 | |
3 | 10 | def get_viewname(model, action=None):
viewname = f'{model._meta.app_label}:{model._meta.model_name}'
# Determine whether this is a plugin view and adjust the namespace appropriately
if isinstance(model._meta.app_config, PluginConfig):
viewname = f'plugins:{viewname}'
# Append the action, ... | netbox/utilities/utils.py | 99 | netbox | {
"docstring": "\n Return the view name for the given model and action, if valid.\n\n :param model: The model or instance to which the view applies\n :param action: A string indicating the desired action (if any); e.g. \"add\" or \"list\"\n ",
"language": "en",
"n_whitespaces": 50,
"n_words": 37,
... | 38 | Python | 29 | 10e6ae20949028171fdfcc50fde78bf289f41d5f | utils.py | 264,426 | 7 | 39 | get_viewname | https://github.com/netbox-community/netbox.git | Introduce get_viewname() as a standard utility | 73 | 0 | 77,721 | 10 | |
1 | 7 | def plus(self, a):
a = _convert_other(a, raiseit=True)
return a.__pos__(context=self)
| python3.10.4/Lib/_pydecimal.py | 44 | XX-Net | {
"docstring": "Plus corresponds to unary prefix plus in Python.\n\n The operation is evaluated using the same rules as add; the\n operation plus(a) is calculated as add('0', a) where the '0'\n has the same exponent as the operand.\n\n >>> ExtendedContext.plus(Decimal('1.3'))\n Deci... | 9 | Python | 9 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | _pydecimal.py | 219,635 | 3 | 27 | plus | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 30 | 0 | 55,667 | 9 | |
1 | 11 | def get_tables(self) -> Response:
q = f"SHOW TABLES FROM {self.connection_data['database']}"
result = self.native_query(q)
df = result.data_frame
result.data_frame = df.rename(columns={df.columns[0]: 'table_name'})
return result
| mindsdb/integrations/handlers/clickhouse_handler/clickhouse_handler.py | 94 | mindsdb | {
"docstring": "\n Get a list with all of the tabels in ClickHouse db\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 11,
"vocab_size": 11
} | 22 | Python | 17 | 149ae900c62910a480f8af70daa98362d513a350 | clickhouse_handler.py | 115,562 | 9 | 48 | get_tables | https://github.com/mindsdb/mindsdb.git | CH handler implementation | 64 | 0 | 25,491 | 13 | |
1 | 4 | def uses_before_args(self) -> Namespace:
return self.pod_args['uses_before']
| jina/orchestrate/deployments/__init__.py | 28 | jina | {
"docstring": "Get the arguments for the `uses_before` of this Deployment.\n\n\n .. # noqa: DAR201\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 13,
"vocab_size": 12
} | 6 | Python | 6 | 13edc16d806fb5d77a6849551178ccc75937f25f | __init__.py | 10,853 | 7 | 15 | uses_before_args | https://github.com/jina-ai/jina.git | 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 te... | 20 | 0 | 1,951 | 7 | |
5 | 12 | def user_config_dir(appname=None, appauthor=None, version=None, roaming=False):
r
if system in ["win32", "darwin"]:
path = user_data_dir(appname, appauthor, None, roaming)
else:
path = os.getenv('XDG_CONFIG_HOME', os.path.expanduser("~/.config"))
if appname:
path = os.pat... | .venv/lib/python3.8/site-packages/pip/_vendor/appdirs.py | 152 | transferlearning | {
"docstring": "Return full path to the user-specific config dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this a... | 48 | Python | 37 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | appdirs.py | 61,443 | 38 | 95 | user_config_dir | https://github.com/jindongwang/transferlearning.git | upd; format | 99 | 0 | 12,578 | 14 | |
1 | 31 | def test_page_token_expired_retry_fails(mock_ads_client, test_config):
stream_slice = {"start_date": "2021-01-01", "end_date": "2021-01-15"}
google_api = MockGoogleAdsFails(credentials=test_config["credentials"], customer_id=test_config["customer_id"])
incremental_stream_config = dict(
api=goo... | airbyte-integrations/connectors/source-google-ads/unit_tests/test_streams.py | 251 | airbyte | {
"docstring": "\n Page token has expired while reading records within date \"2021-01-03\", it should raise error,\n because Google Ads API doesn't allow filter by datetime.\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 23,
"vocab_size": 23
} | 44 | Python | 38 | 359fcd801128239b39297828d39821f631ce00c0 | test_streams.py | 3,683 | 17 | 144 | test_page_token_expired_retry_fails | https://github.com/airbytehq/airbyte.git | Source Google Ads: handle page token expired exception (#9812)
* dynamic date range
* raise exception if exites the cycle without error
* if range days is 1 already do not retry
* added unit tests
* added comments
* added comments
* common mock classes are moved to common module
* change read_reco... | 119 | 0 | 515 | 14 | |
1 | 5 | def get_favorite_articles_by_page_view():
return frappe.db.sql(
,
as_dict=True,
)
| erpnext/www/support/index.py | 30 | erpnext | {
"docstring": "\n\t\t\tSELECT\n\t\t\t\tt1.name as name,\n\t\t\t\tt1.title as title,\n\t\t\t\tt1.content as content,\n\t\t\t\tt1.route as route,\n\t\t\t\tt1.category as category,\n\t\t\t\tcount(t1.route) as count\n\t\t\tFROM `tabHelp Article` AS t1\n\t\t\t\tINNER JOIN\n\t\t\t\t`tabWeb Page View` AS t2\n\t\t\tON t1.ro... | 7 | Python | 7 | 494bd9ef78313436f0424b918f200dab8fc7c20b | index.py | 68,185 | 21 | 18 | get_favorite_articles_by_page_view | https://github.com/frappe/erpnext.git | style: format code with black | 2 | 0 | 14,733 | 8 | |
1 | 15 | def test_previous_pods_ignored_for_reattached(self):
k = KubernetesPodOperator(
namespace="default",
image="ubuntu:16.04",
name="test",
task_id="task",
)
self.run_pod(k)
k.client.list_namespaced_pod.assert_called_once()
_, ... | tests/providers/cncf/kubernetes/operators/test_kubernetes_pod.py | 106 | airflow | {
"docstring": "\n When looking for pods to possibly reattach to,\n ignore pods from previous tries that were properly finished\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 17,
"vocab_size": 16
} | 20 | Python | 19 | 60eb9e106f5915398eafd6aa339ec710c102dc09 | test_kubernetes_pod.py | 42,808 | 11 | 60 | test_previous_pods_ignored_for_reattached | https://github.com/apache/airflow.git | Use KubernetesHook to create api client in KubernetesPodOperator (#20578)
Add support for k8s hook in KPO; use it always (even when no conn id); continue to consider the core k8s settings that KPO already takes into account but emit deprecation warning about them.
KPO historically takes into account a few settings ... | 113 | 0 | 7,739 | 10 | |
3 | 20 | def tight_layout(self, *, pad=1.08, h_pad=None, w_pad=None, rect=None):
from contextlib import nullcontext
from ._tight_layout import (
get_subplotspec_list, get_tight_layout_figure)
subplotspec_list = get_subplotspec_list(self.axes)
if None in subplotspec_list:
... | lib/matplotlib/figure.py | 186 | matplotlib | {
"docstring": "\n Adjust the padding between and around subplots.\n\n To exclude an artist on the Axes from the bounding box calculation\n that determines the subplot parameters (i.e. legend, or annotation),\n set ``a.set_in_layout(False)`` for that artist.\n\n Parameters\n ... | 62 | Python | 55 | 2d8bd625813e4c513bbe8bedddca45da368bca9b | figure.py | 107,057 | 16 | 118 | tight_layout | https://github.com/matplotlib/matplotlib.git | Recreated deprecated files and changed references | 252 | 0 | 22,574 | 11 | |
5 | 19 | def test_load_files_allowed_extensions(tmp_path, allowed_extensions):
d = tmp_path / "sub"
d.mkdir()
files = ("file1.txt", "file2.json", "file3.json", "file4.md")
paths = [d / f for f in files]
for p in paths:
p.touch()
res = load_files(tmp_path, allowed_extensions=allowed_extension... | sklearn/datasets/tests/test_base.py | 240 | @pytest.mark.parametrize(
"filename, expected_n_samples, expected_n_features, expected_target_names",
[
("wine_data.csv", 178, 13, ["class_0", "class_1", "class_2"]),
("iris.csv", 150, 4, ["setosa", "versicolor", "virginica"]),
("breast_cancer.csv", 569, 30, ["malignant", "benign"]),
... | scikit-learn | {
"docstring": "Check the behaviour of `allowed_extension` in `load_files`.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | 72 | Python | 59 | fc72ebe61c833f227560bd9d0dcf88cdda6c6adb | test_base.py | 258,977 | 11 | 87 | test_load_files_allowed_extensions | https://github.com/scikit-learn/scikit-learn.git | ENH Adds file extension selection to load_files (#22498)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Tony <tony.attalla@mail.utoronto.ca>
Co-authored-by: Kazim <smkazimn@gmail.com>
Co-authored-by: Tony Attalla <39226687+TonyAttalla@users.noreply.github.com>
Co-authored-by: Guillaume Lemai... | 141 | 1 | 75,505 | 12 |
1 | 9 | def test_rolling_non_monotonic(method, expected):
# Based on an example found in computation.rst
use_expanding = [True, False, True, False, True, True, True, True]
df = DataFrame({"values": np.arange(len(use_expanding)) ** 2})
| pandas/tests/window/test_rolling.py | 72 | pandas | {
"docstring": "\n Make sure the (rare) branch of non-monotonic indices is covered by a test.\n\n output from 1.1.3 is assumed to be the expected output. Output of sum/mean has\n manually been verified.\n\n GH 36933.\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 32,
"vocab_size": 29
} | 27 | Python | 22 | 6caefb19f4d7c05451fafca182c6eb39fe9901ed | test_rolling.py | 165,326 | 9 | 100 | test_rolling_non_monotonic | https://github.com/pandas-dev/pandas.git | ENH: Rolling window with step size (GH-15354) (#45765) | 39 | 0 | 39,660 | 15 | |
1 | 9 | def test_remember_collapsed(self):
# Sidebar should not be collapsed
self.client.cookies["wagtail_sidebar_collapsed"] = "0"
response = self.client.get(reverse("wagtailadmin_home"))
self.assertNotContains(response, "sidebar-collapsed")
# Sidebar should be collapsed
... | wagtail/admin/tests/test_menu.py | 127 | wagtail | {
"docstring": "Sidebar should render with collapsed class applied.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | 29 | Python | 17 | d10f15e55806c6944827d801cd9c2d53f5da4186 | test_menu.py | 72,022 | 7 | 68 | test_remember_collapsed | https://github.com/wagtail/wagtail.git | Reformat with black | 92 | 0 | 15,818 | 11 | |
1 | 8 | def _get_index_and_columns(df):
return len(df.index), len(df.columns)
@ray.remote(num_returns=4) | modin/core/execution/ray/implementations/pandas_on_ray/partitioning/partition.py | 50 | @ray.remote(num_returns=4) | modin | {
"docstring": "\n Get the number of rows and columns of a pandas DataFrame.\n\n Parameters\n ----------\n df : pandas.DataFrame\n A pandas DataFrame which dimensions are needed.\n\n Returns\n -------\n int\n The number of rows.\n int\n The number of columns.\n ",
"la... | 6 | Python | 6 | e7cb2e82f8b9c7a68f82abdd3b6011d661230b7e | partition.py | 153,345 | 2 | 20 | get_index_and_columns | https://github.com/modin-project/modin.git | REFACTOR-#4251: define public interfaces in `modin.core.execution.ray` module (#3868)
Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com> | 11 | 1 | 35,381 | 9 |
1 | 6 | def explain(self) -> Tuple[List[Explanation], List[float]]:
| ludwig/explain/explainer.py | 30 | ludwig | {
"docstring": "Explain the model's predictions.\n\n # Return\n\n :return: (Tuple[List[Explanation], List[float]]) `(explanations, expected_values)`\n `explanations`: (List[Explanation]) A list of explanations, one for each row in the input data. Each\n explanation contains the fea... | 5 | Python | 5 | 1caede3a2da4ec71cb8650c7e45120c26948a5b9 | explainer.py | 8,248 | 12 | 19 | explain | https://github.com/ludwig-ai/ludwig.git | Explanation API and feature importance for GBM (#2564)
* add docstring for explain_ig
* solidify Explainer API
* add gbm explainer
* add dataclasses for typed explanations
* add GBM feature importance
* remove unused imports
* add tests
* fix test
* extract explanation into file
* rename bas... | 12 | 0 | 1,382 | 6 |
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