Unnamed: 0
int64 0
2.44k
| repo
stringlengths 32
81
| hash
stringlengths 40
40
| diff
stringlengths 113
1.17k
| old_path
stringlengths 5
84
| rewrite
stringlengths 34
79
| initial_state
stringlengths 75
980
| final_state
stringlengths 76
980
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|---|---|---|---|---|---|---|---|
500 |
https://:@github.com/PmagPy/PmagPy.git
|
1c9dfb436532fcefcdf85913462eca89c4a05886
|
@@ -3363,7 +3363,7 @@ def upload_magic3(concat=0, dir_path='.', dmodel=None, vocab="", contribution=No
# otherwise create a new Contribution in dir_path
con = Contribution(dir_path, vocabulary=vocab)
- dir_path = contribution.directory
+ dir_path = con.directory
# take out any extra added columns
con.remove_non_magic_cols()
# begin the upload process
|
pmagpy/ipmag.py
|
ReplaceText(target='con' @(3366,15)->(3366,27))
|
def upload_magic3(concat=0, dir_path='.', dmodel=None, vocab="", contribution=No
# otherwise create a new Contribution in dir_path
con = Contribution(dir_path, vocabulary=vocab)
dir_path = contribution.directory
# take out any extra added columns
con.remove_non_magic_cols()
# begin the upload process
|
def upload_magic3(concat=0, dir_path='.', dmodel=None, vocab="", contribution=No
# otherwise create a new Contribution in dir_path
con = Contribution(dir_path, vocabulary=vocab)
dir_path = con.directory
# take out any extra added columns
con.remove_non_magic_cols()
# begin the upload process
|
501 |
https://:@github.com/PmagPy/PmagPy.git
|
8fd06aa1272e4a82082fc0a0b5641242e2f18154
|
@@ -72,7 +72,7 @@ def main():
pastTime=startTime
if d < commandLength:
pastTime=startTime-commandLength
- printout="Due to long processing time the look-back time has been extended to " +str(pastTime.total_seconds()) + " seconds" + "\n"
+ printout="Due to long processing time the look-back time has been extended to " +str(commandLength.total_seconds()) + " seconds" + "\n"
f.write(printout)
else:
pastTime=startTime-d
|
programs/createNewPlots.py
|
ReplaceText(target='commandLength' @(75,97)->(75,105))
|
def main():
pastTime=startTime
if d < commandLength:
pastTime=startTime-commandLength
printout="Due to long processing time the look-back time has been extended to " +str(pastTime.total_seconds()) + " seconds" + "\n"
f.write(printout)
else:
pastTime=startTime-d
|
def main():
pastTime=startTime
if d < commandLength:
pastTime=startTime-commandLength
printout="Due to long processing time the look-back time has been extended to " +str(commandLength.total_seconds()) + " seconds" + "\n"
f.write(printout)
else:
pastTime=startTime-d
|
502 |
https://:@github.com/PmagPy/PmagPy.git
|
de14e55e58558ac9d6980bdaf309fe17496a8f44
|
@@ -3524,7 +3524,7 @@ def iodp_kly4s_lore(kly4s_file, meas_out='measurements.txt',
tau3=in_df['Kmin susceptibility (SI)']/3
v3_dec=in_df['Kmin dec (deg)']
v3_inc=in_df['Kmin inc (deg)']
- specimens_df['aniso_v3']=tau1.astype('str')+":"+v3_dec.astype('str')+":"+v3_inc.astype('str')
+ specimens_df['aniso_v3']=tau3.astype('str')+":"+v3_dec.astype('str')+":"+v3_inc.astype('str')
# output data files
|
pmagpy/convert_2_magic.py
|
ReplaceText(target='tau3' @(3527,29)->(3527,33))
|
def iodp_kly4s_lore(kly4s_file, meas_out='measurements.txt',
tau3=in_df['Kmin susceptibility (SI)']/3
v3_dec=in_df['Kmin dec (deg)']
v3_inc=in_df['Kmin inc (deg)']
specimens_df['aniso_v3']=tau1.astype('str')+":"+v3_dec.astype('str')+":"+v3_inc.astype('str')
# output data files
|
def iodp_kly4s_lore(kly4s_file, meas_out='measurements.txt',
tau3=in_df['Kmin susceptibility (SI)']/3
v3_dec=in_df['Kmin dec (deg)']
v3_inc=in_df['Kmin inc (deg)']
specimens_df['aniso_v3']=tau3.astype('str')+":"+v3_dec.astype('str')+":"+v3_inc.astype('str')
# output data files
|
503 |
https://:@github.com/efficios/pytsdl.git
|
1b6d994aa14340af28ed903692ff0fde598ebaeb
|
@@ -1671,7 +1671,7 @@ class _DocCreatorVisitor:
# assign tag to copy now
variant_copy.tag = self._decode_unary(t.tag.value)
- return variant
+ return variant_copy
def _type_to_obj(self, t):
return self._type_to_obj_map[type(t)](t)
|
pytsdl/parser.py
|
ReplaceText(target='variant_copy' @(1674,15)->(1674,22))
|
class _DocCreatorVisitor:
# assign tag to copy now
variant_copy.tag = self._decode_unary(t.tag.value)
return variant
def _type_to_obj(self, t):
return self._type_to_obj_map[type(t)](t)
|
class _DocCreatorVisitor:
# assign tag to copy now
variant_copy.tag = self._decode_unary(t.tag.value)
return variant_copy
def _type_to_obj(self, t):
return self._type_to_obj_map[type(t)](t)
|
504 |
https://:@github.com/mabrownnyu/youtube-data-api.git
|
07d71d5668d1dbeec28d84ce1cf8982fbd71be36
|
@@ -585,7 +585,7 @@ class YoutubeDataApi:
else:
captions = []
for v_id in video_id:
- captions.append(_get_captions(video_id, lang_code=lang_code, parser=parser, **kwargs))
+ captions.append(_get_captions(v_id, lang_code=lang_code, parser=parser, **kwargs))
return captions
|
youtube_api/youtube_api.py
|
ReplaceText(target='v_id' @(588,46)->(588,54))
|
class YoutubeDataApi:
else:
captions = []
for v_id in video_id:
captions.append(_get_captions(video_id, lang_code=lang_code, parser=parser, **kwargs))
return captions
|
class YoutubeDataApi:
else:
captions = []
for v_id in video_id:
captions.append(_get_captions(v_id, lang_code=lang_code, parser=parser, **kwargs))
return captions
|
505 |
https://:@github.com/xhochy/conda-mirror-ng.git
|
e0b34555d779f9b440512f850da39aa5a0e29ece
|
@@ -85,5 +85,5 @@ def test_handling_bad_package(tmpdir, repodata):
with bz2.BZ2File(bad_pkg_path, 'wb') as f:
f.write("This is a fake package".encode())
assert bad_pkg_name in os.listdir(bad_pkg_root)
- conda_mirror._validate_packages(repodata, local_repo_root)
+ conda_mirror._validate_packages(repodata, bad_pkg_root)
assert bad_pkg_name not in os.listdir(bad_pkg_root)
\ No newline at end of file
|
test/test_conda_mirror.py
|
ReplaceText(target='bad_pkg_root' @(88,46)->(88,61))
|
def test_handling_bad_package(tmpdir, repodata):
with bz2.BZ2File(bad_pkg_path, 'wb') as f:
f.write("This is a fake package".encode())
assert bad_pkg_name in os.listdir(bad_pkg_root)
conda_mirror._validate_packages(repodata, local_repo_root)
assert bad_pkg_name not in os.listdir(bad_pkg_root)
\ No newline at end of file
|
def test_handling_bad_package(tmpdir, repodata):
with bz2.BZ2File(bad_pkg_path, 'wb') as f:
f.write("This is a fake package".encode())
assert bad_pkg_name in os.listdir(bad_pkg_root)
conda_mirror._validate_packages(repodata, bad_pkg_root)
assert bad_pkg_name not in os.listdir(bad_pkg_root)
\ No newline at end of file
|
506 |
https://:@github.com/kelsoncm/sc4.git
|
8c4e8ac8358668aaa6c32b73af44178e6e9db3ab
|
@@ -45,6 +45,6 @@ def others_months():
def daterange(start, end, step=datetime.timedelta(1)):
curr = start
- while curr < end:
+ while curr <= end:
yield curr
curr += step
|
sc4py/sc4py/datetime.py
|
ReplaceText(target='<=' @(48,15)->(48,16))
|
def others_months():
def daterange(start, end, step=datetime.timedelta(1)):
curr = start
while curr < end:
yield curr
curr += step
|
def others_months():
def daterange(start, end, step=datetime.timedelta(1)):
curr = start
while curr <= end:
yield curr
curr += step
|
507 |
https://:@github.com/makingspace/pubsubpy.git
|
bd6903e8ea6e7069712d7cf17cb725aa7f821d1a
|
@@ -5,7 +5,7 @@ MODEL_EXCHANGE = 'model_exchange'
__REQUIRED_INIT_KWARGS = {AMQP_URL, MODEL_EXCHANGE}
__OPTIONAL_INIT_KWARGS = set()
-__ALLOWED_INIT_KWARGS = __REQUIRED_INIT_KWARGS & __OPTIONAL_INIT_KWARGS
+__ALLOWED_INIT_KWARGS = __REQUIRED_INIT_KWARGS | __OPTIONAL_INIT_KWARGS
def init(**kwargs):
|
pubsub/__init__.py
|
ReplaceText(target='|' @(8,47)->(8,48))
|
MODEL_EXCHANGE = 'model_exchange'
__REQUIRED_INIT_KWARGS = {AMQP_URL, MODEL_EXCHANGE}
__OPTIONAL_INIT_KWARGS = set()
__ALLOWED_INIT_KWARGS = __REQUIRED_INIT_KWARGS & __OPTIONAL_INIT_KWARGS
def init(**kwargs):
|
MODEL_EXCHANGE = 'model_exchange'
__REQUIRED_INIT_KWARGS = {AMQP_URL, MODEL_EXCHANGE}
__OPTIONAL_INIT_KWARGS = set()
__ALLOWED_INIT_KWARGS = __REQUIRED_INIT_KWARGS | __OPTIONAL_INIT_KWARGS
def init(**kwargs):
|
508 |
https://:@github.com/moff4/kframe.git
|
01c644e825136b2b86d9b6f7dd6a34e4997c128c
|
@@ -310,7 +310,7 @@ class Parent:
kwargs (dict) - dict of arg that will be passed to init() as **kwargs (plugins only)
"""
from kframe.base.plugin import Plugin
- if issubclass(target, Plugin):
+ if not issubclass(target, Plugin):
raise ValueError('target ({}) bust be isinstance of kframe.Plugin'.format(str(target)))
self.plugin_t[kw.get('key', target.name)] = {
'target': target,
|
kframe/base/parent.py
|
ReplaceText(target='not ' @(313,11)->(313,11))
|
class Parent:
kwargs (dict) - dict of arg that will be passed to init() as **kwargs (plugins only)
"""
from kframe.base.plugin import Plugin
if issubclass(target, Plugin):
raise ValueError('target ({}) bust be isinstance of kframe.Plugin'.format(str(target)))
self.plugin_t[kw.get('key', target.name)] = {
'target': target,
|
class Parent:
kwargs (dict) - dict of arg that will be passed to init() as **kwargs (plugins only)
"""
from kframe.base.plugin import Plugin
if not issubclass(target, Plugin):
raise ValueError('target ({}) bust be isinstance of kframe.Plugin'.format(str(target)))
self.plugin_t[kw.get('key', target.name)] = {
'target': target,
|
509 |
https://:@github.com/moff4/kframe.git
|
85c41d1f13cb2c7d79787bbe35de661aa6c6b824
|
@@ -329,7 +329,7 @@ class Task:
cfg.update(kwargs)
if 'shedule' in cfg:
cfg['shedule'] = self._convert_shedule(cfg['shedule'])
- self.cfg.update(kwargs)
+ self.cfg.update(cfg)
def ready_for_run(self, t, tm):
"""
|
kframe/plugins/planner/task.py
|
ReplaceText(target='cfg' @(332,24)->(332,30))
|
class Task:
cfg.update(kwargs)
if 'shedule' in cfg:
cfg['shedule'] = self._convert_shedule(cfg['shedule'])
self.cfg.update(kwargs)
def ready_for_run(self, t, tm):
"""
|
class Task:
cfg.update(kwargs)
if 'shedule' in cfg:
cfg['shedule'] = self._convert_shedule(cfg['shedule'])
self.cfg.update(cfg)
def ready_for_run(self, t, tm):
"""
|
510 |
https://:@github.com/qaviton/qaviton_package_manager.git
|
0498c2b71479109db949e369a0b7189d75dded65
|
@@ -63,7 +63,7 @@ class Build(Prep):
def update_version(self, version):
version = self.versioning(version)
content = self.get_pkg_init()
- if b'\n__version__' not in content or not content.startswith(b'__version__'):
+ if b'\n__version__' not in content and not content.startswith(b'__version__'):
raise IOError("missing __version__ in the package __init__.py file")
lines = content.splitlines()
for i, line in enumerate(lines):
|
qaviton_package_manager/manager_methods/distribute_to_git.py
|
ReplaceText(target='and' @(66,43)->(66,45))
|
class Build(Prep):
def update_version(self, version):
version = self.versioning(version)
content = self.get_pkg_init()
if b'\n__version__' not in content or not content.startswith(b'__version__'):
raise IOError("missing __version__ in the package __init__.py file")
lines = content.splitlines()
for i, line in enumerate(lines):
|
class Build(Prep):
def update_version(self, version):
version = self.versioning(version)
content = self.get_pkg_init()
if b'\n__version__' not in content and not content.startswith(b'__version__'):
raise IOError("missing __version__ in the package __init__.py file")
lines = content.splitlines()
for i, line in enumerate(lines):
|
511 |
https://:@github.com/morganthrapp/pyACH.git
|
516f347fa832237e2868544c078f86f80c7c2a1c
|
@@ -256,7 +256,7 @@ class BatchHeader:
def _get_effective_entry_date(effective_entry_date):
_date = datetime.datetime.today()
_date += datetime.timedelta(days=effective_entry_date)
- while _date.isoweekday() not in WEEKEND:
+ while _date.isoweekday() in WEEKEND:
_date += datetime.timedelta(days=1)
return _date.strftime(day_format_string)
|
pyach/ACHRecordTypes.py
|
ReplaceText(target=' in ' @(259,32)->(259,40))
|
class BatchHeader:
def _get_effective_entry_date(effective_entry_date):
_date = datetime.datetime.today()
_date += datetime.timedelta(days=effective_entry_date)
while _date.isoweekday() not in WEEKEND:
_date += datetime.timedelta(days=1)
return _date.strftime(day_format_string)
|
class BatchHeader:
def _get_effective_entry_date(effective_entry_date):
_date = datetime.datetime.today()
_date += datetime.timedelta(days=effective_entry_date)
while _date.isoweekday() in WEEKEND:
_date += datetime.timedelta(days=1)
return _date.strftime(day_format_string)
|
512 |
https://:@github.com/eldarion/agon-ratings.git
|
99a317f1ead850e948cf08123fef8ea60b30060e
|
@@ -72,7 +72,7 @@ class Rating(models.Model):
rating_obj = None
if rating_obj and rating == 0:
- return rating.clear()
+ return rating_obj.clear()
if rating_obj is None:
rating_obj = cls.objects.create(
|
pinax/ratings/models.py
|
ReplaceText(target='rating_obj' @(75,19)->(75,25))
|
class Rating(models.Model):
rating_obj = None
if rating_obj and rating == 0:
return rating.clear()
if rating_obj is None:
rating_obj = cls.objects.create(
|
class Rating(models.Model):
rating_obj = None
if rating_obj and rating == 0:
return rating_obj.clear()
if rating_obj is None:
rating_obj = cls.objects.create(
|
513 |
https://:@github.com/sraashis/ature.git
|
caee2ab19dc6b73ab1916156ad80c5732957803f
|
@@ -94,7 +94,7 @@ class PatchesGenerator(Dataset):
img_tensor = self.transform(img_tensor)
if self.segment_mode:
- return self.data[ID], img_tensor, self.labels[index]
+ return self.data[index], img_tensor, self.labels[index]
return img_tensor, self.labels[index]
|
neuralnet/utils/datasets.py
|
ReplaceText(target='index' @(97,29)->(97,31))
|
class PatchesGenerator(Dataset):
img_tensor = self.transform(img_tensor)
if self.segment_mode:
return self.data[ID], img_tensor, self.labels[index]
return img_tensor, self.labels[index]
|
class PatchesGenerator(Dataset):
img_tensor = self.transform(img_tensor)
if self.segment_mode:
return self.data[index], img_tensor, self.labels[index]
return img_tensor, self.labels[index]
|
514 |
https://:@github.com/sraashis/ature.git
|
e192de63324d8472c331bd06ab36ea710ee93d2a
|
@@ -96,7 +96,7 @@ class ThrnetTrainer(NNTrainer):
img_loss += current_loss
thr = thr_map[..., None][..., None]
- segmented = (prob_map >= thr.byte())
+ segmented = (prob_map > thr.byte())
# batch_score = ScoreAccumulator().add_tensor(segmented, truth)
print('Loss: ', current_loss, end='\r')
|
neuralnet/thrnet/thrnet_trainer.py
|
ReplaceText(target='>' @(99,42)->(99,44))
|
class ThrnetTrainer(NNTrainer):
img_loss += current_loss
thr = thr_map[..., None][..., None]
segmented = (prob_map >= thr.byte())
# batch_score = ScoreAccumulator().add_tensor(segmented, truth)
print('Loss: ', current_loss, end='\r')
|
class ThrnetTrainer(NNTrainer):
img_loss += current_loss
thr = thr_map[..., None][..., None]
segmented = (prob_map > thr.byte())
# batch_score = ScoreAccumulator().add_tensor(segmented, truth)
print('Loss: ', current_loss, end='\r')
|
515 |
https://:@github.com/sraashis/ature.git
|
934f9ff3b34b487614e4f2653c153cd78d716b57
|
@@ -50,7 +50,7 @@ class ThrnetTrainer(NNTrainer):
if gen_images:
img = segmented_img.clone().cpu().numpy()
- img_score.add_array(img_obj.ground_truth, img)
+ img_score.add_array(img, img_obj.ground_truth)
# img = iu.remove_connected_comp(np.array(segmented_img, dtype=np.uint8),
# connected_comp_diam_limit=10)
IMG.fromarray(np.array(img, dtype=np.uint8)).save(
|
neuralnet/mapnet/mapnet_trainer.py
|
ArgSwap(idxs=0<->1 @(53,20)->(53,39))
|
class ThrnetTrainer(NNTrainer):
if gen_images:
img = segmented_img.clone().cpu().numpy()
img_score.add_array(img_obj.ground_truth, img)
# img = iu.remove_connected_comp(np.array(segmented_img, dtype=np.uint8),
# connected_comp_diam_limit=10)
IMG.fromarray(np.array(img, dtype=np.uint8)).save(
|
class ThrnetTrainer(NNTrainer):
if gen_images:
img = segmented_img.clone().cpu().numpy()
img_score.add_array(img, img_obj.ground_truth)
# img = iu.remove_connected_comp(np.array(segmented_img, dtype=np.uint8),
# connected_comp_diam_limit=10)
IMG.fromarray(np.array(img, dtype=np.uint8)).save(
|
516 |
https://:@github.com/sraashis/ature.git
|
934f9ff3b34b487614e4f2653c153cd78d716b57
|
@@ -59,7 +59,7 @@ class UNetNNTrainer(NNTrainer):
if gen_images:
map_img = map_img.cpu().numpy()
predicted_img = predicted_img.cpu().numpy()
- img_score.add_array(img_obj.ground_truth, predicted_img)
+ img_score.add_array(predicted_img, img_obj.ground_truth)
IMG.fromarray(np.array(predicted_img, dtype=np.uint8)).save(
os.path.join(self.log_dir, 'pred_' + img_obj.file_name.split('.')[0] + '.png'))
IMG.fromarray(np.array(map_img, dtype=np.uint8)).save(
|
neuralnet/unet/unet_trainer.py
|
ArgSwap(idxs=0<->1 @(62,20)->(62,39))
|
class UNetNNTrainer(NNTrainer):
if gen_images:
map_img = map_img.cpu().numpy()
predicted_img = predicted_img.cpu().numpy()
img_score.add_array(img_obj.ground_truth, predicted_img)
IMG.fromarray(np.array(predicted_img, dtype=np.uint8)).save(
os.path.join(self.log_dir, 'pred_' + img_obj.file_name.split('.')[0] + '.png'))
IMG.fromarray(np.array(map_img, dtype=np.uint8)).save(
|
class UNetNNTrainer(NNTrainer):
if gen_images:
map_img = map_img.cpu().numpy()
predicted_img = predicted_img.cpu().numpy()
img_score.add_array(predicted_img, img_obj.ground_truth)
IMG.fromarray(np.array(predicted_img, dtype=np.uint8)).save(
os.path.join(self.log_dir, 'pred_' + img_obj.file_name.split('.')[0] + '.png'))
IMG.fromarray(np.array(map_img, dtype=np.uint8)).save(
|
517 |
https://:@github.com/tessgi/ticgen.git
|
9350670fed545226d33c16432802990b6ddd7274
|
@@ -144,7 +144,7 @@ class Star(object):
E * self.Tmag**4 + F * self.Tmag**5)
def get_oneSigmaNoise(self):
- return (np.exp(self.get_oneHourNoiseLnsigma()) *
+ return (np.exp(self.get_oneHourNoiseLnsigma()) /
np.sqrt(self.integration / 60.))
def TESS_Mag_VJKs(self):
|
ticgen/ticgen.py
|
ReplaceText(target='/' @(147,55)->(147,56))
|
class Star(object):
E * self.Tmag**4 + F * self.Tmag**5)
def get_oneSigmaNoise(self):
return (np.exp(self.get_oneHourNoiseLnsigma()) *
np.sqrt(self.integration / 60.))
def TESS_Mag_VJKs(self):
|
class Star(object):
E * self.Tmag**4 + F * self.Tmag**5)
def get_oneSigmaNoise(self):
return (np.exp(self.get_oneHourNoiseLnsigma()) /
np.sqrt(self.integration / 60.))
def TESS_Mag_VJKs(self):
|
518 |
https://:@github.com/aki-nishimura/bayes-bridge.git
|
728164889880a793dd156bafeeaaec2da93c4706
|
@@ -94,7 +94,7 @@ class SparseRegressionCoefficientSampler():
))
precond_hessian_matvec = lambda beta: \
precond_prior_prec * beta \
- + precond_scale * loglik_hessian_matvec(precond_scale * beta)
+ - precond_scale * loglik_hessian_matvec(precond_scale * beta)
precond_hessian_op = sp.sparse.linalg.LinearOperator(
(X.shape[1], X.shape[1]), precond_hessian_matvec
)
|
bayesbridge/reg_coef_sampler/reg_coef_sampler.py
|
ReplaceText(target='-' @(97,12)->(97,13))
|
class SparseRegressionCoefficientSampler():
))
precond_hessian_matvec = lambda beta: \
precond_prior_prec * beta \
+ precond_scale * loglik_hessian_matvec(precond_scale * beta)
precond_hessian_op = sp.sparse.linalg.LinearOperator(
(X.shape[1], X.shape[1]), precond_hessian_matvec
)
|
class SparseRegressionCoefficientSampler():
))
precond_hessian_matvec = lambda beta: \
precond_prior_prec * beta \
- precond_scale * loglik_hessian_matvec(precond_scale * beta)
precond_hessian_op = sp.sparse.linalg.LinearOperator(
(X.shape[1], X.shape[1]), precond_hessian_matvec
)
|
519 |
https://:@github.com/aki-nishimura/bayes-bridge.git
|
8558d665b0d07e1565d88b4d477a67c576c7ffbd
|
@@ -70,7 +70,7 @@ class BayesBridge():
self.model = LinearModel(outcome, X)
elif model == 'logit':
n_success, n_trial = outcome
- self.model = LogisticModel(n_success, X, n_trial)
+ self.model = LogisticModel(n_success, n_trial, X)
elif model == 'cox':
self.model = CoxModel(event_time, censoring_time, X)
else:
|
bayesbridge/bayesbridge.py
|
ArgSwap(idxs=1<->2 @(73,25)->(73,38))
|
class BayesBridge():
self.model = LinearModel(outcome, X)
elif model == 'logit':
n_success, n_trial = outcome
self.model = LogisticModel(n_success, X, n_trial)
elif model == 'cox':
self.model = CoxModel(event_time, censoring_time, X)
else:
|
class BayesBridge():
self.model = LinearModel(outcome, X)
elif model == 'logit':
n_success, n_trial = outcome
self.model = LogisticModel(n_success, n_trial, X)
elif model == 'cox':
self.model = CoxModel(event_time, censoring_time, X)
else:
|
520 |
https://:@github.com/BTrDB/btrdb4-python.git
|
68f67274b6c2a6bb4a9206cfb00e7c3747cab1fa
|
@@ -36,7 +36,7 @@ from btrdb4.endpoint import Endpoint
from btrdb4.utils import *
MIN_TIME = -(16 << 56)
-MAX_TIME = 48 >> 56
+MAX_TIME = 48 << 56
MAX_POINTWIDTH = 63
class Connection(object):
|
btrdb4/__init__.py
|
ReplaceText(target='<<' @(39,14)->(39,16))
|
from btrdb4.endpoint import Endpoint
from btrdb4.utils import *
MIN_TIME = -(16 << 56)
MAX_TIME = 48 >> 56
MAX_POINTWIDTH = 63
class Connection(object):
|
from btrdb4.endpoint import Endpoint
from btrdb4.utils import *
MIN_TIME = -(16 << 56)
MAX_TIME = 48 << 56
MAX_POINTWIDTH = 63
class Connection(object):
|
521 |
https://:@github.com/mahaoyang/newspaper.git
|
ac1d4c7346ddd0e035f9c7968e7e712340723934
|
@@ -62,7 +62,7 @@ def prepare_url(url, source_url=None):
"""operations that purify a url, removes arguments,
redirects, and merges relatives with absolutes"""
- if source_url is None:
+ if source_url is not None:
source_domain = urlparse(source_url).netloc
proper_url = urljoin(source_url, url)
proper_url = redirect_back(proper_url, source_domain)
|
newspaper/urls.py
|
ReplaceText(target=' is not ' @(65,17)->(65,21))
|
def prepare_url(url, source_url=None):
"""operations that purify a url, removes arguments,
redirects, and merges relatives with absolutes"""
if source_url is None:
source_domain = urlparse(source_url).netloc
proper_url = urljoin(source_url, url)
proper_url = redirect_back(proper_url, source_domain)
|
def prepare_url(url, source_url=None):
"""operations that purify a url, removes arguments,
redirects, and merges relatives with absolutes"""
if source_url is not None:
source_domain = urlparse(source_url).netloc
proper_url = urljoin(source_url, url)
proper_url = redirect_back(proper_url, source_domain)
|
522 |
https://:@github.com/tmconsulting/onelya-railway-sdk.git
|
059265060ae8f9828ae6f5d7a143988cd9c5da4c
|
@@ -28,7 +28,7 @@ class Session(object):
if 'Code' in response:
raise OnelyaAPIError(method, response, data)
- return data
+ return response
def __send_api_request(self, method, data):
url = '{}{}'.format(Session.API_URL, method)
|
onelya_railway_sdk/session.py
|
ReplaceText(target='response' @(31,15)->(31,19))
|
class Session(object):
if 'Code' in response:
raise OnelyaAPIError(method, response, data)
return data
def __send_api_request(self, method, data):
url = '{}{}'.format(Session.API_URL, method)
|
class Session(object):
if 'Code' in response:
raise OnelyaAPIError(method, response, data)
return response
def __send_api_request(self, method, data):
url = '{}{}'.format(Session.API_URL, method)
|
523 |
https://:@github.com/rafalp/misago-social-app-django.git
|
d1d23e7e3cf4364c0d35289290b27787b84f5211
|
@@ -50,7 +50,7 @@ def sanitize_redirect(host, redirect_to):
"""
# Quick sanity check.
if not redirect_to or \
- not isinstance(redirect_to, six.string_types) and \
+ not isinstance(redirect_to, six.string_types) or \
getattr(redirect_to, 'decode', None) and \
not isinstance(redirect_to.decode(), six.string_types):
return None
|
social/utils.py
|
ReplaceText(target='or' @(53,53)->(53,56))
|
def sanitize_redirect(host, redirect_to):
"""
# Quick sanity check.
if not redirect_to or \
not isinstance(redirect_to, six.string_types) and \
getattr(redirect_to, 'decode', None) and \
not isinstance(redirect_to.decode(), six.string_types):
return None
|
def sanitize_redirect(host, redirect_to):
"""
# Quick sanity check.
if not redirect_to or \
not isinstance(redirect_to, six.string_types) or \
getattr(redirect_to, 'decode', None) and \
not isinstance(redirect_to.decode(), six.string_types):
return None
|
524 |
https://:@github.com/rafalp/misago-social-app-django.git
|
7d0628e7a756526b50449435eb02b2806e815755
|
@@ -132,7 +132,7 @@ def partial_pipeline_data(strategy, user, *args, **kwargs):
kwargs.setdefault('user', user)
kwargs.setdefault('request', strategy.request)
kwargs.update(xkwargs)
- return idx, backend, xargs, xkwargs
+ return idx, backend, xargs, kwargs
def build_absolute_uri(host_url, path=None):
|
social/utils.py
|
ReplaceText(target='kwargs' @(135,36)->(135,43))
|
def partial_pipeline_data(strategy, user, *args, **kwargs):
kwargs.setdefault('user', user)
kwargs.setdefault('request', strategy.request)
kwargs.update(xkwargs)
return idx, backend, xargs, xkwargs
def build_absolute_uri(host_url, path=None):
|
def partial_pipeline_data(strategy, user, *args, **kwargs):
kwargs.setdefault('user', user)
kwargs.setdefault('request', strategy.request)
kwargs.update(xkwargs)
return idx, backend, xargs, kwargs
def build_absolute_uri(host_url, path=None):
|
525 |
https://:@github.com/rafalp/misago-social-app-django.git
|
d53529b57f0a4992889ad490e5314a2244155afa
|
@@ -27,7 +27,7 @@ class SocialAuthExceptionMiddleware(object):
return
if isinstance(exception, SocialAuthBaseException):
- backend_name = strategy.backend.name
+ backend_name = request.backend.name
message = self.get_message(request, exception)
url = self.get_redirect_uri(request, exception)
try:
|
social/apps/django_app/middleware.py
|
ReplaceText(target='request' @(30,27)->(30,35))
|
class SocialAuthExceptionMiddleware(object):
return
if isinstance(exception, SocialAuthBaseException):
backend_name = strategy.backend.name
message = self.get_message(request, exception)
url = self.get_redirect_uri(request, exception)
try:
|
class SocialAuthExceptionMiddleware(object):
return
if isinstance(exception, SocialAuthBaseException):
backend_name = request.backend.name
message = self.get_message(request, exception)
url = self.get_redirect_uri(request, exception)
try:
|
526 |
https://:@github.com/c137digital/unv_app.git
|
d217fa0d780bc6f2acbbf4ea307630c78a695653
|
@@ -34,7 +34,7 @@ class ComponentSettings:
"""Create app settings, overrided by env."""
settings = settings or {}
if base_settings:
- settings = update_dict_recur(settings, base_settings)
+ settings = update_dict_recur(base_settings, settings)
for key, value in os.environ.items():
if 'SETTINGS_' not in key:
continue
|
src/unv/app/settings.py
|
ArgSwap(idxs=0<->1 @(37,23)->(37,40))
|
class ComponentSettings:
"""Create app settings, overrided by env."""
settings = settings or {}
if base_settings:
settings = update_dict_recur(settings, base_settings)
for key, value in os.environ.items():
if 'SETTINGS_' not in key:
continue
|
class ComponentSettings:
"""Create app settings, overrided by env."""
settings = settings or {}
if base_settings:
settings = update_dict_recur(base_settings, settings)
for key, value in os.environ.items():
if 'SETTINGS_' not in key:
continue
|
527 |
https://:@github.com/timothycrosley/blox.git
|
fdc21c5be25dd5452075748e4027e067bfb28e1e
|
@@ -141,7 +141,7 @@ class TagAttributes(type):
full_attribute_map = dict(parents[0].attribute_map)
full_attribute_map.update(attribute_map)
attribute_map = full_attribute_map
- class_dict['attribute_map'] = full_attributes
+ class_dict['attribute_map'] = attribute_map
class_dict['attribute_descriptors'] = attributes
attribute_signals = (attribute.signal for attribute in attributes.values() if getattr(attribute, 'signal'))
|
blox/base.py
|
ReplaceText(target='attribute_map' @(144,46)->(144,61))
|
class TagAttributes(type):
full_attribute_map = dict(parents[0].attribute_map)
full_attribute_map.update(attribute_map)
attribute_map = full_attribute_map
class_dict['attribute_map'] = full_attributes
class_dict['attribute_descriptors'] = attributes
attribute_signals = (attribute.signal for attribute in attributes.values() if getattr(attribute, 'signal'))
|
class TagAttributes(type):
full_attribute_map = dict(parents[0].attribute_map)
full_attribute_map.update(attribute_map)
attribute_map = full_attribute_map
class_dict['attribute_map'] = attribute_map
class_dict['attribute_descriptors'] = attributes
attribute_signals = (attribute.signal for attribute in attributes.values() if getattr(attribute, 'signal'))
|
528 |
https://:@github.com/Vizzuality/LMIPy.git
|
abd7e5a3a0d4e6f5fdaf2798647adb88c490cd6b
|
@@ -557,5 +557,5 @@ class Layer:
# confirm update
# update other layer
- target_layer.update(update_params=payload, token=token)
+ target_layer.update(update_params=filtered_payload, token=token)
|
LMIPy/layer.py
|
ReplaceText(target='filtered_payload' @(560,42)->(560,49))
|
class Layer:
# confirm update
# update other layer
target_layer.update(update_params=payload, token=token)
|
class Layer:
# confirm update
# update other layer
target_layer.update(update_params=filtered_payload, token=token)
|
529 |
https://:@github.com/collective/mr.cabot.git
|
9c955abc239fcdff9bd12db236142387bce61f21
|
@@ -7,7 +7,7 @@ def html_snippet(obj):
else:
lat, lon = loc
content = IListing(obj).summary
- if lat < 0:
+ if lat > 0:
hemi = "west"
else:
hemi = "east"
|
src/mr/cabot/html.py
|
ReplaceText(target='>' @(10,11)->(10,12))
|
def html_snippet(obj):
else:
lat, lon = loc
content = IListing(obj).summary
if lat < 0:
hemi = "west"
else:
hemi = "east"
|
def html_snippet(obj):
else:
lat, lon = loc
content = IListing(obj).summary
if lat > 0:
hemi = "west"
else:
hemi = "east"
|
530 |
https://:@github.com/TeamSpen210/srctools.git
|
079e1c394836a6daecc3e4c996514286937a98dc
|
@@ -392,7 +392,7 @@ class ModelManager:
with open(qc.ref_smd, 'rb') as fb:
child_ref = Mesh.parse_smd(fb)
- if prop.skin != 0 and prop.skin <= len(mdl.skins):
+ if prop.skin != 0 and prop.skin < len(mdl.skins):
# We need to rename the materials to match the skin.
swap_skins = dict(zip(
mdl.skins[0],
|
srctools/compiler/propcombine.py
|
ReplaceText(target='<' @(395,48)->(395,50))
|
class ModelManager:
with open(qc.ref_smd, 'rb') as fb:
child_ref = Mesh.parse_smd(fb)
if prop.skin != 0 and prop.skin <= len(mdl.skins):
# We need to rename the materials to match the skin.
swap_skins = dict(zip(
mdl.skins[0],
|
class ModelManager:
with open(qc.ref_smd, 'rb') as fb:
child_ref = Mesh.parse_smd(fb)
if prop.skin != 0 and prop.skin < len(mdl.skins):
# We need to rename the materials to match the skin.
swap_skins = dict(zip(
mdl.skins[0],
|
531 |
https://:@github.com/TeamSpen210/srctools.git
|
ef4510d1517525251ae2f62f8be714b068e4d909
|
@@ -1799,7 +1799,7 @@ class Entity:
base_name = orig_name.rstrip('0123456789')
- if self.map.by_target[orig_name]:
+ if self.map.by_target[base_name]:
# Check every index in order.
for i in itertools.count(start=1):
name = base_name + str(i)
|
srctools/vmf.py
|
ReplaceText(target='base_name' @(1802,30)->(1802,39))
|
class Entity:
base_name = orig_name.rstrip('0123456789')
if self.map.by_target[orig_name]:
# Check every index in order.
for i in itertools.count(start=1):
name = base_name + str(i)
|
class Entity:
base_name = orig_name.rstrip('0123456789')
if self.map.by_target[base_name]:
# Check every index in order.
for i in itertools.count(start=1):
name = base_name + str(i)
|
532 |
https://:@github.com/TeamSpen210/srctools.git
|
3954c99aa7922609c5c90a40b239ef57d747c5cc
|
@@ -88,7 +88,7 @@ def main(argv: List[str]) -> None:
LOGGER.warning('No studiomdl path provided.')
studiomdl_loc = None
- run_transformations(vmf, fsys, packlist, path, game_info, studiomdl_loc)
+ run_transformations(vmf, fsys, packlist, bsp_file, game_info, studiomdl_loc)
if studiomdl_loc is not None and args.propcombine:
LOGGER.info('Combining props...')
|
srctools/scripts/postcompiler.py
|
ReplaceText(target='bsp_file' @(91,45)->(91,49))
|
def main(argv: List[str]) -> None:
LOGGER.warning('No studiomdl path provided.')
studiomdl_loc = None
run_transformations(vmf, fsys, packlist, path, game_info, studiomdl_loc)
if studiomdl_loc is not None and args.propcombine:
LOGGER.info('Combining props...')
|
def main(argv: List[str]) -> None:
LOGGER.warning('No studiomdl path provided.')
studiomdl_loc = None
run_transformations(vmf, fsys, packlist, bsp_file, game_info, studiomdl_loc)
if studiomdl_loc is not None and args.propcombine:
LOGGER.info('Combining props...')
|
533 |
https://:@github.com/garicchi/pyassistant.git
|
46494b523af213c34a755bfee77fdc0ff00525b1
|
@@ -31,4 +31,4 @@ class Assistant():
with open(self.setting_file, 'w') as f:
json.dump(self.setting,f)
- return True
\ No newline at end of file
+ return False
\ No newline at end of file
|
assistant/util/assistant.py
|
ReplaceText(target='False' @(34,15)->(34,19))
|
class Assistant():
with open(self.setting_file, 'w') as f:
json.dump(self.setting,f)
return True
\ No newline at end of file
\ No newline at end of file
|
class Assistant():
with open(self.setting_file, 'w') as f:
json.dump(self.setting,f)
\ No newline at end of file
return False
\ No newline at end of file
|
534 |
https://:@github.com/u0078867/PyBiomech.git
|
b817b7617d9d57c39c72d8288d8cdb5748b9755c
|
@@ -272,7 +272,7 @@ def evalPolynomialDerivative(poly, u, der=1):
tck, dummy = interpolate.splprep([x.tolist(),x.tolist()], s=0, k=1)
xU = np.array(interpolate.splev(u, tck)[1])
out = f2(xU)
- p = np.array([np.ones((x.shape[0],)), out]).T
+ p = np.array([np.ones((xU.shape[0],)), out]).T
return p
|
src/PyBiomech/vtkh.py
|
ReplaceText(target='xU' @(275,27)->(275,28))
|
def evalPolynomialDerivative(poly, u, der=1):
tck, dummy = interpolate.splprep([x.tolist(),x.tolist()], s=0, k=1)
xU = np.array(interpolate.splev(u, tck)[1])
out = f2(xU)
p = np.array([np.ones((x.shape[0],)), out]).T
return p
|
def evalPolynomialDerivative(poly, u, der=1):
tck, dummy = interpolate.splprep([x.tolist(),x.tolist()], s=0, k=1)
xU = np.array(interpolate.splev(u, tck)[1])
out = f2(xU)
p = np.array([np.ones((xU.shape[0],)), out]).T
return p
|
535 |
https://:@github.com/mardix/gokku.git
|
c44093fc8d160748f4c6902e590ecd2193fdeb90
|
@@ -509,7 +509,7 @@ def deploy_node(app, deltas={}):
first_time = False
if not exists(virtualenv_path):
echo("-----> Creating virtualenv_path for '{}'".format(app), fg='green')
- makedirs(node_path)
+ makedirs(virtualenv_path)
first_time = True
if not exists(node_path):
echo("-----> Creating node_modules for '{}'".format(app), fg='green')
|
gokku.py
|
ReplaceText(target='virtualenv_path' @(512,17)->(512,26))
|
def deploy_node(app, deltas={}):
first_time = False
if not exists(virtualenv_path):
echo("-----> Creating virtualenv_path for '{}'".format(app), fg='green')
makedirs(node_path)
first_time = True
if not exists(node_path):
echo("-----> Creating node_modules for '{}'".format(app), fg='green')
|
def deploy_node(app, deltas={}):
first_time = False
if not exists(virtualenv_path):
echo("-----> Creating virtualenv_path for '{}'".format(app), fg='green')
makedirs(virtualenv_path)
first_time = True
if not exists(node_path):
echo("-----> Creating node_modules for '{}'".format(app), fg='green')
|
536 |
https://:@github.com/sophacles/pyCLiFF.git
|
35bf4ff2714329a786c093d7e24a63e6fc1555b9
|
@@ -16,7 +16,7 @@ def handle_opts(opts):
def datahandler(line):
global n
- if n > clmax:
+ if n >= clmax:
raise StopIteration
n += 1
|
examples/head.py
|
ReplaceText(target='>=' @(19,9)->(19,10))
|
def handle_opts(opts):
def datahandler(line):
global n
if n > clmax:
raise StopIteration
n += 1
|
def handle_opts(opts):
def datahandler(line):
global n
if n >= clmax:
raise StopIteration
n += 1
|
537 |
https://:@github.com/pilt/flask-versioned.git
|
2dd47374531a9426845a2b3b10fa5f2dc2418bf2
|
@@ -45,7 +45,7 @@ class FileChangedDriver(Driver):
mods = time.strftime('%Y%m%dT%H%M%S', modt)
return self.format % {
'version': mods,
- 'path': path,
+ 'path': stream,
}
|
flaskext/versioned/__init__.py
|
ReplaceText(target='stream' @(48,20)->(48,24))
|
class FileChangedDriver(Driver):
mods = time.strftime('%Y%m%dT%H%M%S', modt)
return self.format % {
'version': mods,
'path': path,
}
|
class FileChangedDriver(Driver):
mods = time.strftime('%Y%m%dT%H%M%S', modt)
return self.format % {
'version': mods,
'path': stream,
}
|
538 |
https://:@github.com/lantunes/netomaton.git
|
7d73976ac295f05911b9b67e495bd54021f97644
|
@@ -7,7 +7,7 @@ if __name__ == '__main__':
initial_conditions = [0] * 100 + [1] + [0] * 99
- activities, connectivities = evolve(adjacencies, initial_conditions, timesteps=100,
+ activities, connectivities = evolve(initial_conditions, adjacencies, timesteps=100,
activity_rule=lambda n, c, t: ActivityRule.nks_ca_rule(n, c, 30))
plot_grid(activities)
|
demos/elementary_ca/elementary_ca_demo.py
|
ArgSwap(idxs=0<->1 @(10,33)->(10,39))
|
if __name__ == '__main__':
initial_conditions = [0] * 100 + [1] + [0] * 99
activities, connectivities = evolve(adjacencies, initial_conditions, timesteps=100,
activity_rule=lambda n, c, t: ActivityRule.nks_ca_rule(n, c, 30))
plot_grid(activities)
|
if __name__ == '__main__':
initial_conditions = [0] * 100 + [1] + [0] * 99
activities, connectivities = evolve(initial_conditions, adjacencies, timesteps=100,
activity_rule=lambda n, c, t: ActivityRule.nks_ca_rule(n, c, 30))
plot_grid(activities)
|
539 |
https://:@github.com/lantunes/netomaton.git
|
7d73976ac295f05911b9b67e495bd54021f97644
|
@@ -61,7 +61,7 @@ if __name__ == '__main__':
initial_conditions = half_two
- activities, connectivities = evolve(hopfield_net.adjacency_matrix, initial_conditions, timesteps=155,
+ activities, connectivities = evolve(initial_conditions, hopfield_net.adjacency_matrix, timesteps=155,
activity_rule=hopfield_net.activity_rule)
# view the weights, stored in the adjacency matrix
|
demos/hopfield_net/hopfield_net_demo.py
|
ArgSwap(idxs=0<->1 @(64,33)->(64,39))
|
if __name__ == '__main__':
initial_conditions = half_two
activities, connectivities = evolve(hopfield_net.adjacency_matrix, initial_conditions, timesteps=155,
activity_rule=hopfield_net.activity_rule)
# view the weights, stored in the adjacency matrix
|
if __name__ == '__main__':
initial_conditions = half_two
activities, connectivities = evolve(initial_conditions, hopfield_net.adjacency_matrix, timesteps=155,
activity_rule=hopfield_net.activity_rule)
# view the weights, stored in the adjacency matrix
|
540 |
https://:@github.com/orionw/tuningDEAP.git
|
7e7a40a386832fd386dfb8f67ff10e27ade0421e
|
@@ -96,7 +96,7 @@ class TestConfigMapping(unittest.TestCase):
assert value == bool(new_value) and type(value) == bool, "did not set the correct value from the map, expected {} but got {} (which is not the original {})".format("bool", bool(new_value), type(value), value)
set_by_path(test_config, path, new_value, is_bool=False)
int_value = get_by_path(test_config, path)
- assert new_value == int_value and type(int_value) == int, "did not set the correct value from the map, expected type {} = {} but got type {} = {})".format("int", int_value, type(int_value), new_value)
+ assert value == int_value and type(int_value) == int, "did not set the correct value from the map, expected type {} = {} but got type {} = {})".format("int", int_value, type(int_value), new_value)
def test_set_from_map_invalid(self):
test_value = "three_levels"
|
test/test_config_mapping.py
|
ReplaceText(target='value' @(99,15)->(99,24))
|
class TestConfigMapping(unittest.TestCase):
assert value == bool(new_value) and type(value) == bool, "did not set the correct value from the map, expected {} but got {} (which is not the original {})".format("bool", bool(new_value), type(value), value)
set_by_path(test_config, path, new_value, is_bool=False)
int_value = get_by_path(test_config, path)
assert new_value == int_value and type(int_value) == int, "did not set the correct value from the map, expected type {} = {} but got type {} = {})".format("int", int_value, type(int_value), new_value)
def test_set_from_map_invalid(self):
test_value = "three_levels"
|
class TestConfigMapping(unittest.TestCase):
assert value == bool(new_value) and type(value) == bool, "did not set the correct value from the map, expected {} but got {} (which is not the original {})".format("bool", bool(new_value), type(value), value)
set_by_path(test_config, path, new_value, is_bool=False)
int_value = get_by_path(test_config, path)
assert value == int_value and type(int_value) == int, "did not set the correct value from the map, expected type {} = {} but got type {} = {})".format("int", int_value, type(int_value), new_value)
def test_set_from_map_invalid(self):
test_value = "three_levels"
|
541 |
https://:@github.com/benjamincrom/scrabble.git
|
59d26971b75475d0a66aeb03902fda6bfa57a048
|
@@ -188,7 +188,7 @@ def move_does_not_stack_tiles(letter_list, location_set):
# return False
def move_is_rack_size_or_less(location_set):
- return len(location_set) > config.PLAYER_RACK_SIZE
+ return len(location_set) <= config.PLAYER_RACK_SIZE
# print('Move places greater than seven tiles.')
# return False
# else:
|
scrabble_game.py
|
ReplaceText(target='<=' @(191,29)->(191,30))
|
def move_does_not_stack_tiles(letter_list, location_set):
# return False
def move_is_rack_size_or_less(location_set):
return len(location_set) > config.PLAYER_RACK_SIZE
# print('Move places greater than seven tiles.')
# return False
# else:
|
def move_does_not_stack_tiles(letter_list, location_set):
# return False
def move_is_rack_size_or_less(location_set):
return len(location_set) <= config.PLAYER_RACK_SIZE
# print('Move places greater than seven tiles.')
# return False
# else:
|
542 |
https://:@bitbucket.org/norok2/pytk.git
|
934113ff8273afe9c2737a1bdee6f5f298217986
|
@@ -179,7 +179,7 @@ def center(target, reference=None):
geometry = reference.winfo_geometry()
else:
geometry = reference
- if isinstance(reference, str):
+ if isinstance(geometry, str):
geometry = Geometry(geometry)
target_geometry = Geometry(target.winfo_geometry())
target.geometry(str(target_geometry.set_to_center(geometry)))
|
pytk/util.py
|
ReplaceText(target='geometry' @(182,18)->(182,27))
|
def center(target, reference=None):
geometry = reference.winfo_geometry()
else:
geometry = reference
if isinstance(reference, str):
geometry = Geometry(geometry)
target_geometry = Geometry(target.winfo_geometry())
target.geometry(str(target_geometry.set_to_center(geometry)))
|
def center(target, reference=None):
geometry = reference.winfo_geometry()
else:
geometry = reference
if isinstance(geometry, str):
geometry = Geometry(geometry)
target_geometry = Geometry(target.winfo_geometry())
target.geometry(str(target_geometry.set_to_center(geometry)))
|
543 |
https://:@github.com/ds4dm/ecole.git
|
90d17acf7796734b64299619474a60519b19db59
|
@@ -13,7 +13,7 @@ def test_IsDone(state):
def test_NLPIterations(state):
reward_func = R.NLPIterations()
reward_func.reset(state)
- assert reward_func.get(state) >= 0
+ assert reward_func.get(state) <= 0
assert reward_func.get(state, done=True) == 0
|
python/tests/test_reward.py
|
ReplaceText(target='<=' @(16,34)->(16,36))
|
def test_IsDone(state):
def test_NLPIterations(state):
reward_func = R.NLPIterations()
reward_func.reset(state)
assert reward_func.get(state) >= 0
assert reward_func.get(state, done=True) == 0
|
def test_IsDone(state):
def test_NLPIterations(state):
reward_func = R.NLPIterations()
reward_func.reset(state)
assert reward_func.get(state) <= 0
assert reward_func.get(state, done=True) == 0
|
544 |
https://:@github.com/ds4dm/ecole.git
|
6bc408253cbea5c8cb6740412601d13eb6772039
|
@@ -101,4 +101,4 @@ def test_LpIterations(model):
def test_NNodes(model):
reward_func = R.NNodes()
reward_func.reset(model)
- assert reward_func.obtain_reward(model) <= 0
+ assert reward_func.obtain_reward(model) >= 0
|
python/tests/test_reward.py
|
ReplaceText(target='>=' @(104,44)->(104,46))
|
def test_LpIterations(model):
def test_NNodes(model):
reward_func = R.NNodes()
reward_func.reset(model)
assert reward_func.obtain_reward(model) <= 0
|
def test_LpIterations(model):
def test_NNodes(model):
reward_func = R.NNodes()
reward_func.reset(model)
assert reward_func.obtain_reward(model) >= 0
|
545 |
https://:@github.com/nodedge/nodedge.git
|
b610ea8a12132e143aafe2824a83a9c032a973f7
|
@@ -313,7 +313,7 @@ class GraphicsView(QGraphicsView):
event.localPos(),
event.screenPos(),
Qt.LeftButton,
- event.buttons() & -Qt.LeftButton,
+ event.buttons() | -Qt.LeftButton,
event.modifiers(),
)
super().mouseReleaseEvent(fake_event)
|
nodedge/graphics_view.py
|
ReplaceText(target='|' @(316,28)->(316,29))
|
class GraphicsView(QGraphicsView):
event.localPos(),
event.screenPos(),
Qt.LeftButton,
event.buttons() & -Qt.LeftButton,
event.modifiers(),
)
super().mouseReleaseEvent(fake_event)
|
class GraphicsView(QGraphicsView):
event.localPos(),
event.screenPos(),
Qt.LeftButton,
event.buttons() | -Qt.LeftButton,
event.modifiers(),
)
super().mouseReleaseEvent(fake_event)
|
546 |
https://:@github.com/ovnicraft/suds2.git
|
b5d1aa94c6c825f717bf41f687ca687241aeae43
|
@@ -130,7 +130,7 @@ class UMBase:
return content.data
lang = attributes.lang()
if not len(node.children) and content.text is None:
- if self.nillable(content.data) and content.node.isnil():
+ if self.nillable(content.data) or content.node.isnil():
return None
else:
return xlstr.string('', lang)
|
suds/bindings/unmarshaller.py
|
ReplaceText(target='or' @(133,43)->(133,46))
|
class UMBase:
return content.data
lang = attributes.lang()
if not len(node.children) and content.text is None:
if self.nillable(content.data) and content.node.isnil():
return None
else:
return xlstr.string('', lang)
|
class UMBase:
return content.data
lang = attributes.lang()
if not len(node.children) and content.text is None:
if self.nillable(content.data) or content.node.isnil():
return None
else:
return xlstr.string('', lang)
|
547 |
https://:@github.com/ovnicraft/suds2.git
|
e54498f49a9973bc9a385885b5a220026503f22b
|
@@ -113,6 +113,6 @@ class Options(Skin):
Definition('retxml', bool, False),
Definition('autoblend', bool, False),
Definition('cachingpolicy', int, 0),
- Definition('plugins', [], (list, tuple)),
+ Definition('plugins', (list, tuple), []),
]
Skin.__init__(self, domain, definitions, kwargs)
|
suds/options.py
|
ArgSwap(idxs=1<->2 @(116,12)->(116,22))
|
class Options(Skin):
Definition('retxml', bool, False),
Definition('autoblend', bool, False),
Definition('cachingpolicy', int, 0),
Definition('plugins', [], (list, tuple)),
]
Skin.__init__(self, domain, definitions, kwargs)
|
class Options(Skin):
Definition('retxml', bool, False),
Definition('autoblend', bool, False),
Definition('cachingpolicy', int, 0),
Definition('plugins', (list, tuple), []),
]
Skin.__init__(self, domain, definitions, kwargs)
|
548 |
https://:@github.com/lukegb/ticketml.git
|
99c13a8e34a4397470564a355d639a4fbd5c72c4
|
@@ -122,7 +122,7 @@ class BaseBackend(object):
self._serial.write(h2b('1d21' + hex))
def get_characters_per_line(self, font_width):
- return self.BASE_CHARS_PER_LINE / font_width
+ return self.BASE_CHARS_PER_LINE // font_width
class Ibm4610Backend(BaseBackend):
BARCODE_MAP = {
|
ticketml/ticketml.py
|
ReplaceText(target='//' @(125,40)->(125,41))
|
class BaseBackend(object):
self._serial.write(h2b('1d21' + hex))
def get_characters_per_line(self, font_width):
return self.BASE_CHARS_PER_LINE / font_width
class Ibm4610Backend(BaseBackend):
BARCODE_MAP = {
|
class BaseBackend(object):
self._serial.write(h2b('1d21' + hex))
def get_characters_per_line(self, font_width):
return self.BASE_CHARS_PER_LINE // font_width
class Ibm4610Backend(BaseBackend):
BARCODE_MAP = {
|
549 |
https://:@github.com/EmanuelGoncalves/crispy.git
|
2a029a350d328a65b32b5434a6b555dcc94a562c
|
@@ -60,7 +60,7 @@ def iterate_correction(crispr_file, crispr_lib_file, cnv_file, output_folder, bs
assert len(overlap_genes) > 0, 'No genes (rows) overlap between CRISPR and Copy-number matrices'
# run correction for each cell line
- for sample in overlap_genes:
+ for sample in overlap_samples:
if bsub_flag:
print('[{}] Crispy: bsub {}'.format(dt.now().strftime('%Y-%m-%d %H:%M:%S'), sample))
|
scripts/crispy/processing/correct_cnv_bias.py
|
ReplaceText(target='overlap_samples' @(63,18)->(63,31))
|
def iterate_correction(crispr_file, crispr_lib_file, cnv_file, output_folder, bs
assert len(overlap_genes) > 0, 'No genes (rows) overlap between CRISPR and Copy-number matrices'
# run correction for each cell line
for sample in overlap_genes:
if bsub_flag:
print('[{}] Crispy: bsub {}'.format(dt.now().strftime('%Y-%m-%d %H:%M:%S'), sample))
|
def iterate_correction(crispr_file, crispr_lib_file, cnv_file, output_folder, bs
assert len(overlap_genes) > 0, 'No genes (rows) overlap between CRISPR and Copy-number matrices'
# run correction for each cell line
for sample in overlap_samples:
if bsub_flag:
print('[{}] Crispy: bsub {}'.format(dt.now().strftime('%Y-%m-%d %H:%M:%S'), sample))
|
550 |
https://:@github.com/ninapavlich/sitecomber-article-tests.git
|
a053bd33aa15bf1c6e4a2dded9e5e1a71511e9bc
|
@@ -159,4 +159,4 @@ def check_spelling(page, settings):
message = "No misspellings found" if not found_misspellings else u'Found %s misspelling(s): "%s"' % (len(misspelled), '", "'.join(misspelled))
return found_misspellings, message
- return True, 'No article found'
+ return False, 'No article found'
|
sitecomber_article_tests/utils.py
|
ReplaceText(target='False' @(162,11)->(162,15))
|
def check_spelling(page, settings):
message = "No misspellings found" if not found_misspellings else u'Found %s misspelling(s): "%s"' % (len(misspelled), '", "'.join(misspelled))
return found_misspellings, message
return True, 'No article found'
|
def check_spelling(page, settings):
message = "No misspellings found" if not found_misspellings else u'Found %s misspelling(s): "%s"' % (len(misspelled), '", "'.join(misspelled))
return found_misspellings, message
return False, 'No article found'
|
551 |
https://:@github.com/salpreh/tablat.git
|
fef6e07276bced6e885653ef760884a0ee5e0606
|
@@ -132,7 +132,7 @@ class Table(object):
end = row_lenght
filt_data = []
- while end < len(self._table_data):
+ while end <= len(self._table_data):
filt_data.extend(self._filter_list(self._table_data[start:end], mask))
start = end
end += row_lenght
|
tablat/Table.py
|
ReplaceText(target='<=' @(135,18)->(135,19))
|
class Table(object):
end = row_lenght
filt_data = []
while end < len(self._table_data):
filt_data.extend(self._filter_list(self._table_data[start:end], mask))
start = end
end += row_lenght
|
class Table(object):
end = row_lenght
filt_data = []
while end <= len(self._table_data):
filt_data.extend(self._filter_list(self._table_data[start:end], mask))
start = end
end += row_lenght
|
552 |
https://:@github.com/cloudshare/cloudshare-py-sdk.git
|
1363279f77267f5e18ec26f2d1bd345b3adea08e
|
@@ -156,7 +156,7 @@ def request(method, path, queryParams=None, content=None):
path=path,
queryParams=queryParams,
content=content)
- if res.status / 100 != 2:
+ if res.status // 100 != 2:
raise Exception('{} {}'.format(res.status, res.content['message']))
return res.content
|
example.py
|
ReplaceText(target='//' @(159,18)->(159,19))
|
def request(method, path, queryParams=None, content=None):
path=path,
queryParams=queryParams,
content=content)
if res.status / 100 != 2:
raise Exception('{} {}'.format(res.status, res.content['message']))
return res.content
|
def request(method, path, queryParams=None, content=None):
path=path,
queryParams=queryParams,
content=content)
if res.status // 100 != 2:
raise Exception('{} {}'.format(res.status, res.content['message']))
return res.content
|
553 |
https://:@github.com/Oslandia/deeposlandia.git
|
529dd916303d712ea3c51bb8454349812537e506
|
@@ -111,7 +111,7 @@ if __name__ == '__main__':
testing_dataset.load(testing_filename, args.nb_testing_image)
else:
input_image_dir = os.path.join(input_repo, "testing")
- testing_dataset.populate(input_image_dir, preprocessed_testing_path,
+ testing_dataset.populate(preprocessed_testing_path, input_image_dir,
nb_images=args.nb_testing_image, labelling=False)
testing_dataset.save(testing_filename)
|
sources/test.py
|
ArgSwap(idxs=0<->1 @(114,8)->(114,32))
|
if __name__ == '__main__':
testing_dataset.load(testing_filename, args.nb_testing_image)
else:
input_image_dir = os.path.join(input_repo, "testing")
testing_dataset.populate(input_image_dir, preprocessed_testing_path,
nb_images=args.nb_testing_image, labelling=False)
testing_dataset.save(testing_filename)
|
if __name__ == '__main__':
testing_dataset.load(testing_filename, args.nb_testing_image)
else:
input_image_dir = os.path.join(input_repo, "testing")
testing_dataset.populate(preprocessed_testing_path, input_image_dir,
nb_images=args.nb_testing_image, labelling=False)
testing_dataset.save(testing_filename)
|
554 |
https://:@github.com/Oslandia/deeposlandia.git
|
2bc626291e2f069c68e4a5a43e6ef5bfc3059d6a
|
@@ -158,7 +158,7 @@ class SemanticSegmentationModel(ConvolutionalNeuralNetwork):
name=dataset_type+"_images")
label_filepaths = [dataset.image_info[i]["label_filename"]
for i in range(dataset.get_nb_images())]
- label_tensors = ops.convert_to_tensor(image_filepaths, dtype=tf.string,
+ label_tensors = ops.convert_to_tensor(label_filepaths, dtype=tf.string,
name=dataset_type+"_labels")
input_queue = tf.train.slice_input_producer([image_tensors,
label_tensors],
|
sources/semantic_segmentation.py
|
ReplaceText(target='label_filepaths' @(161,50)->(161,65))
|
class SemanticSegmentationModel(ConvolutionalNeuralNetwork):
name=dataset_type+"_images")
label_filepaths = [dataset.image_info[i]["label_filename"]
for i in range(dataset.get_nb_images())]
label_tensors = ops.convert_to_tensor(image_filepaths, dtype=tf.string,
name=dataset_type+"_labels")
input_queue = tf.train.slice_input_producer([image_tensors,
label_tensors],
|
class SemanticSegmentationModel(ConvolutionalNeuralNetwork):
name=dataset_type+"_images")
label_filepaths = [dataset.image_info[i]["label_filename"]
for i in range(dataset.get_nb_images())]
label_tensors = ops.convert_to_tensor(label_filepaths, dtype=tf.string,
name=dataset_type+"_labels")
input_queue = tf.train.slice_input_producer([image_tensors,
label_tensors],
|
555 |
https://:@github.com/Oslandia/deeposlandia.git
|
09e5206460eae73b533e9007ca5241bd5baee7f6
|
@@ -449,7 +449,7 @@ def main(args):
"semseg",
"predicted_geometries",
)
- os.makedirs(predicted_label_folder, exist_ok=True)
+ os.makedirs(predicted_geom_folder, exist_ok=True)
predicted_geom_file = os.path.join(
predicted_geom_folder,
args.image_basename + "_" + str(args.image_size) + ".geojson",
|
deeposlandia/postprocess.py
|
ReplaceText(target='predicted_geom_folder' @(452,16)->(452,38))
|
def main(args):
"semseg",
"predicted_geometries",
)
os.makedirs(predicted_label_folder, exist_ok=True)
predicted_geom_file = os.path.join(
predicted_geom_folder,
args.image_basename + "_" + str(args.image_size) + ".geojson",
|
def main(args):
"semseg",
"predicted_geometries",
)
os.makedirs(predicted_geom_folder, exist_ok=True)
predicted_geom_file = os.path.join(
predicted_geom_folder,
args.image_basename + "_" + str(args.image_size) + ".geojson",
|
556 |
https://:@github.com/metal3d/keras-video-generators.git
|
7313aa497a80147714dda3581ce34d4821130ae1
|
@@ -72,7 +72,7 @@ class VideoFrameGenerator(Sequence):
# split factor should be a propoer value
if split is not None:
- assert 0.0 > split < 1.0
+ assert 0.0 < split < 1.0
# be sure that classes are well ordered
classes.sort()
|
src/keras_video/generator.py
|
ReplaceText(target='<' @(75,23)->(75,24))
|
class VideoFrameGenerator(Sequence):
# split factor should be a propoer value
if split is not None:
assert 0.0 > split < 1.0
# be sure that classes are well ordered
classes.sort()
|
class VideoFrameGenerator(Sequence):
# split factor should be a propoer value
if split is not None:
assert 0.0 < split < 1.0
# be sure that classes are well ordered
classes.sort()
|
557 |
https://:@github.com/yongzhuo/Macropodus.git
|
11789503e9122303464bf6f02df1122397c0ca97
|
@@ -142,7 +142,7 @@ class RandomEmbedding(BaseEmbedding):
else:
raise RuntimeError("your input level_type is wrong, it must be 'word', 'char', 'ngram'")
for text_one in text:
- if term_one not in token2idx:
+ if text_one not in token2idx:
token2idx[text_one] = len(token2idx)
else:
raise RuntimeError("your input corpus_path is wrong, it must be 'dict' or 'corpus'")
|
macropodus/network/base/embedding.py
|
ReplaceText(target='text_one' @(145,27)->(145,35))
|
class RandomEmbedding(BaseEmbedding):
else:
raise RuntimeError("your input level_type is wrong, it must be 'word', 'char', 'ngram'")
for text_one in text:
if term_one not in token2idx:
token2idx[text_one] = len(token2idx)
else:
raise RuntimeError("your input corpus_path is wrong, it must be 'dict' or 'corpus'")
|
class RandomEmbedding(BaseEmbedding):
else:
raise RuntimeError("your input level_type is wrong, it must be 'word', 'char', 'ngram'")
for text_one in text:
if text_one not in token2idx:
token2idx[text_one] = len(token2idx)
else:
raise RuntimeError("your input corpus_path is wrong, it must be 'dict' or 'corpus'")
|
558 |
https://:@github.com/foxkit-us/PyIRC.git
|
c0bcbffa66f6fe1ddb7f3002e85fa38bfaafa103
|
@@ -156,7 +156,7 @@ class IRCString(UserString):
def convert(self, case):
"""Convert string into another caseform"""
- return IRCString(self, case)
+ return IRCString(case, self)
def ascii_lower(self):
"""Return a copy of the string S converted to lowercase, using ASCII
|
PyIRC/casemapping.py
|
ArgSwap(idxs=0<->1 @(159,15)->(159,24))
|
class IRCString(UserString):
def convert(self, case):
"""Convert string into another caseform"""
return IRCString(self, case)
def ascii_lower(self):
"""Return a copy of the string S converted to lowercase, using ASCII
|
class IRCString(UserString):
def convert(self, case):
"""Convert string into another caseform"""
return IRCString(case, self)
def ascii_lower(self):
"""Return a copy of the string S converted to lowercase, using ASCII
|
559 |
https://:@github.com/foxkit-us/PyIRC.git
|
b262e84b066a39cd911a37c5f3ab517413ed707f
|
@@ -332,7 +332,7 @@ class UserTrack(BaseExtension):
basicrfc = self.get_extension("BasicRFC")
- if self.casecmp(user.nick, basicrfc.nick):
+ if self.casecmp(target.nick, basicrfc.nick):
# It's us!
isupport = self.get_extension("ISupport")
|
PyIRC/extensions/usertrack.py
|
ReplaceText(target='target' @(335,24)->(335,28))
|
class UserTrack(BaseExtension):
basicrfc = self.get_extension("BasicRFC")
if self.casecmp(user.nick, basicrfc.nick):
# It's us!
isupport = self.get_extension("ISupport")
|
class UserTrack(BaseExtension):
basicrfc = self.get_extension("BasicRFC")
if self.casecmp(target.nick, basicrfc.nick):
# It's us!
isupport = self.get_extension("ISupport")
|
560 |
https://:@github.com/foxkit-us/PyIRC.git
|
71fa54a10227f629b88a2345a1da19b7db02b862
|
@@ -48,7 +48,7 @@ class NullSocket(IRCBase):
def inject_line(self, line):
"""Inject a Line into the recvq for the client."""
- assert isinstance(Line, line)
+ assert isinstance(line, Line)
self.recvq.put(line)
def loop(self):
|
PyIRC/io/null.py
|
ArgSwap(idxs=0<->1 @(51,15)->(51,25))
|
class NullSocket(IRCBase):
def inject_line(self, line):
"""Inject a Line into the recvq for the client."""
assert isinstance(Line, line)
self.recvq.put(line)
def loop(self):
|
class NullSocket(IRCBase):
def inject_line(self, line):
"""Inject a Line into the recvq for the client."""
assert isinstance(line, Line)
self.recvq.put(line)
def loop(self):
|
561 |
https://:@github.com/foxkit-us/PyIRC.git
|
bf102eab33bde57ba3ae1b240a84ee2d161103f0
|
@@ -362,7 +362,7 @@ class XTerm16ColourFormatter(ANSIFormatter):
if self.background is not None:
bgc = ColoursANSI[self.background.name].value
- ret.append(str(fgc.background_16))
+ ret.append(str(bgc.background_16))
else:
# Reset background just in case
ret.append(self.fmt_resetbackground)
|
PyIRC/formatting/formatters.py
|
ReplaceText(target='bgc' @(365,31)->(365,34))
|
class XTerm16ColourFormatter(ANSIFormatter):
if self.background is not None:
bgc = ColoursANSI[self.background.name].value
ret.append(str(fgc.background_16))
else:
# Reset background just in case
ret.append(self.fmt_resetbackground)
|
class XTerm16ColourFormatter(ANSIFormatter):
if self.background is not None:
bgc = ColoursANSI[self.background.name].value
ret.append(str(bgc.background_16))
else:
# Reset background just in case
ret.append(self.fmt_resetbackground)
|
562 |
https://:@bitbucket.org/pixelforest/pixelforest_drf.git
|
71155a01605838be2123eae28b650ceae32d7c2c
|
@@ -14,7 +14,7 @@ from ..permissions import FullDjangoModelPermissions
User = get_user_model()
-if User is PFUser:
+if User is not PFUser:
raise ImproperlyConfigured("Pf User is not the User model")
|
pixelforest_drf/rest/users/api_views.py
|
ReplaceText(target=' is not ' @(17,7)->(17,11))
|
from ..permissions import FullDjangoModelPermissions
User = get_user_model()
if User is PFUser:
raise ImproperlyConfigured("Pf User is not the User model")
|
from ..permissions import FullDjangoModelPermissions
User = get_user_model()
if User is not PFUser:
raise ImproperlyConfigured("Pf User is not the User model")
|
563 |
https://:@github.com/sphemakh/meerkathi.git
|
b6220f225f989604f184d10863e5012f215ed639
|
@@ -65,7 +65,7 @@ class worker_administrator(object):
else:
worker = name + '_worker'
- self.workers.append((name, worker, order))
+ self.workers.append((name, worker, i))
self.workers = sorted(self.workers, key=lambda a: a[2])
|
meerkathi/workers/worker_administrator.py
|
ReplaceText(target='i' @(68,47)->(68,52))
|
class worker_administrator(object):
else:
worker = name + '_worker'
self.workers.append((name, worker, order))
self.workers = sorted(self.workers, key=lambda a: a[2])
|
class worker_administrator(object):
else:
worker = name + '_worker'
self.workers.append((name, worker, i))
self.workers = sorted(self.workers, key=lambda a: a[2])
|
564 |
https://:@github.com/sphemakh/meerkathi.git
|
8bb75b04fe481c06cf0e7987e0072ed58fea1bc3
|
@@ -528,7 +528,7 @@ found in our database or in the CASA NRAO database'.format(field))
step = 'plot_fluxscale_{0:d}'.format(i)
table = prefix+".F0"
fieldtoplot = []
- fieldtoplot.append(utils.get_field_id(msinfo, ref)[0])
+ fieldtoplot.append(utils.get_field_id(msinfo, trans)[0])
recipe.add('cab/ragavi', step,
{
"table" : '{0:s}/{1:s}:{2:s}'.format(get_dir_path(pipeline.caltables, pipeline), table, 'output'),
|
meerkathi/workers/cross_cal_worker.py
|
ReplaceText(target='trans' @(531,62)->(531,65))
|
found in our database or in the CASA NRAO database'.format(field))
step = 'plot_fluxscale_{0:d}'.format(i)
table = prefix+".F0"
fieldtoplot = []
fieldtoplot.append(utils.get_field_id(msinfo, ref)[0])
recipe.add('cab/ragavi', step,
{
"table" : '{0:s}/{1:s}:{2:s}'.format(get_dir_path(pipeline.caltables, pipeline), table, 'output'),
|
found in our database or in the CASA NRAO database'.format(field))
step = 'plot_fluxscale_{0:d}'.format(i)
table = prefix+".F0"
fieldtoplot = []
fieldtoplot.append(utils.get_field_id(msinfo, trans)[0])
recipe.add('cab/ragavi', step,
{
"table" : '{0:s}/{1:s}:{2:s}'.format(get_dir_path(pipeline.caltables, pipeline), table, 'output'),
|
565 |
https://:@github.com/sphemakh/meerkathi.git
|
67485769492da55875da1fea491a7a32ce82d16a
|
@@ -176,7 +176,7 @@ def worker(pipeline, recipe, config):
substep = 'delete_flag_versions_after_{0:s}_ms{1:d}'.format(version, target_iter)
manflags.delete_cflags(pipeline, recipe,
available_flagversions[available_flagversions.index(version)+1],
- msname, cab_name=substep)
+ fms, cab_name=substep)
flagv = tms+'.flagversions'
|
caracal/workers/transform_worker.py
|
ReplaceText(target='fms' @(179,24)->(179,30))
|
def worker(pipeline, recipe, config):
substep = 'delete_flag_versions_after_{0:s}_ms{1:d}'.format(version, target_iter)
manflags.delete_cflags(pipeline, recipe,
available_flagversions[available_flagversions.index(version)+1],
msname, cab_name=substep)
flagv = tms+'.flagversions'
|
def worker(pipeline, recipe, config):
substep = 'delete_flag_versions_after_{0:s}_ms{1:d}'.format(version, target_iter)
manflags.delete_cflags(pipeline, recipe,
available_flagversions[available_flagversions.index(version)+1],
fms, cab_name=substep)
flagv = tms+'.flagversions'
|
566 |
https://:@gitlab.com/nekokatt/hikari.git
|
0b4d26aa20ddbf580ad84581bc5eeea34c687896
|
@@ -48,4 +48,4 @@ class TestReaction:
assert re.count == 420
assert re.me is True
- test_state.parse_emoji.assert_called_with(None, emoji_dict)
+ test_state.parse_emoji.assert_called_with(emoji_dict, None)
|
tests/hikari/core/model/test_reaction.py
|
ArgSwap(idxs=0<->1 @(51,8)->(51,49))
|
class TestReaction:
assert re.count == 420
assert re.me is True
test_state.parse_emoji.assert_called_with(None, emoji_dict)
|
class TestReaction:
assert re.count == 420
assert re.me is True
test_state.parse_emoji.assert_called_with(emoji_dict, None)
|
567 |
https://:@gitlab.com/nekokatt/hikari.git
|
b40bd61096cbd597d0f2863351ebddebf571867d
|
@@ -286,7 +286,7 @@ class DispatchingEventAdapterImpl(dispatching_event_adapter.DispatchingEventAdap
for role_id in role_ids:
role_obj = self.fabric.state_registry.get_role_by_id(guild_id, role_id)
- if role_objs is not None:
+ if role_obj is not None:
role_objs.append(role_obj)
else:
self.logger.warning(
|
hikari/orm/dispatching_event_adapter_impl.py
|
ReplaceText(target='role_obj' @(289,19)->(289,28))
|
class DispatchingEventAdapterImpl(dispatching_event_adapter.DispatchingEventAdap
for role_id in role_ids:
role_obj = self.fabric.state_registry.get_role_by_id(guild_id, role_id)
if role_objs is not None:
role_objs.append(role_obj)
else:
self.logger.warning(
|
class DispatchingEventAdapterImpl(dispatching_event_adapter.DispatchingEventAdap
for role_id in role_ids:
role_obj = self.fabric.state_registry.get_role_by_id(guild_id, role_id)
if role_obj is not None:
role_objs.append(role_obj)
else:
self.logger.warning(
|
568 |
https://:@gitlab.com/nekokatt/hikari.git
|
89f2070c7a2135162e4852a8b778490b4695bc78
|
@@ -699,7 +699,7 @@ class BotAppImpl(bot.IBotApp):
if plat == "win32":
supports_color |= os.getenv("TERM_PROGRAM", None) == "mintty"
supports_color |= "ANSICON" in os.environ
- supports_color |= is_a_tty
+ supports_color &= is_a_tty
else:
supports_color = is_a_tty
|
hikari/impl/bot.py
|
ReplaceText(target='&=' @(702,31)->(702,33))
|
class BotAppImpl(bot.IBotApp):
if plat == "win32":
supports_color |= os.getenv("TERM_PROGRAM", None) == "mintty"
supports_color |= "ANSICON" in os.environ
supports_color |= is_a_tty
else:
supports_color = is_a_tty
|
class BotAppImpl(bot.IBotApp):
if plat == "win32":
supports_color |= os.getenv("TERM_PROGRAM", None) == "mintty"
supports_color |= "ANSICON" in os.environ
supports_color &= is_a_tty
else:
supports_color = is_a_tty
|
569 |
https://:@github.com/matthewhanson/boto3-utils.git
|
23390e1f08fda449451266dc7136a89914e00b4e
|
@@ -33,7 +33,7 @@ class s3(object):
_url = deepcopy(url)
if url[0:5] == 'https':
_url = cls.https_to_s3(url)
- if url[0:5] != 's3://':
+ if _url[0:5] != 's3://':
raise Exception('Invalid S3 url %s' % _url)
url_obj = _url.replace('s3://', '').split('/')
|
boto3utils/s3.py
|
ReplaceText(target='_url' @(36,11)->(36,14))
|
class s3(object):
_url = deepcopy(url)
if url[0:5] == 'https':
_url = cls.https_to_s3(url)
if url[0:5] != 's3://':
raise Exception('Invalid S3 url %s' % _url)
url_obj = _url.replace('s3://', '').split('/')
|
class s3(object):
_url = deepcopy(url)
if url[0:5] == 'https':
_url = cls.https_to_s3(url)
if _url[0:5] != 's3://':
raise Exception('Invalid S3 url %s' % _url)
url_obj = _url.replace('s3://', '').split('/')
|
570 |
https://:@github.com/spex-xray/pyspextools.git
|
c68beb5206e3525010e0265f2c18f8f5fc4bebc3
|
@@ -131,7 +131,7 @@ class OGIPRegion(Region):
if isinstance(corr, Pha):
self.corr = corr
self.input_corr = True
- elif back is None:
+ elif corr is None:
self.input_corr = False
else:
self.input_corr = False
|
pyspextools/io/ogip.py
|
ReplaceText(target='corr' @(134,13)->(134,17))
|
class OGIPRegion(Region):
if isinstance(corr, Pha):
self.corr = corr
self.input_corr = True
elif back is None:
self.input_corr = False
else:
self.input_corr = False
|
class OGIPRegion(Region):
if isinstance(corr, Pha):
self.corr = corr
self.input_corr = True
elif corr is None:
self.input_corr = False
else:
self.input_corr = False
|
571 |
https://:@github.com/djerbic/xlrd-ignore-writeaccess-corruption.git
|
8ce449208ac3a8a1f4ec9c72954c11afcd40d3a8
|
@@ -1975,7 +1975,7 @@ class Sheet(BaseObject):
nchars = data2_len - 1
if nb:
assert nchars % 2 == 0
- nchars /= 2
+ nchars //= 2
utext, endpos = unpack_unicode_update_pos(data2, 0, known_len=nchars)
assert endpos == data2_len
o.text += utext
|
xlrd/sheet.py
|
ReplaceText(target='//=' @(1978,23)->(1978,25))
|
class Sheet(BaseObject):
nchars = data2_len - 1
if nb:
assert nchars % 2 == 0
nchars /= 2
utext, endpos = unpack_unicode_update_pos(data2, 0, known_len=nchars)
assert endpos == data2_len
o.text += utext
|
class Sheet(BaseObject):
nchars = data2_len - 1
if nb:
assert nchars % 2 == 0
nchars //= 2
utext, endpos = unpack_unicode_update_pos(data2, 0, known_len=nchars)
assert endpos == data2_len
o.text += utext
|
572 |
https://:@github.com/ijiraq/daomop.git
|
2b9c4af87e1b899b7589cfb04aa272540d2e8a04
|
@@ -61,7 +61,7 @@ class GeneralModelTest(FileReadingTestCase, DirectoryCleaningTestCase):
# Put a real fits image on the first source, first observation
apcor_str = "4 15 0.19 0.01"
with open(self.get_abs_path(path), "rb") as fh:
- self.first_image = DownloadedFitsImage(fh.read(), apcor_str, Mock(), in_memory=True)
+ self.first_image = DownloadedFitsImage(fh.read(), Mock(), apcor_str, in_memory=True)
first_reading = self.model.get_current_workunit().get_sources()[0].get_readings()[0]
self.model._on_image_loaded(first_reading, self.first_image)
|
src/ossos-pipeline/tests/test_integration/test_models.py
|
ArgSwap(idxs=1<->2 @(64,31)->(64,50))
|
class GeneralModelTest(FileReadingTestCase, DirectoryCleaningTestCase):
# Put a real fits image on the first source, first observation
apcor_str = "4 15 0.19 0.01"
with open(self.get_abs_path(path), "rb") as fh:
self.first_image = DownloadedFitsImage(fh.read(), apcor_str, Mock(), in_memory=True)
first_reading = self.model.get_current_workunit().get_sources()[0].get_readings()[0]
self.model._on_image_loaded(first_reading, self.first_image)
|
class GeneralModelTest(FileReadingTestCase, DirectoryCleaningTestCase):
# Put a real fits image on the first source, first observation
apcor_str = "4 15 0.19 0.01"
with open(self.get_abs_path(path), "rb") as fh:
self.first_image = DownloadedFitsImage(fh.read(), Mock(), apcor_str, in_memory=True)
first_reading = self.model.get_current_workunit().get_sources()[0].get_readings()[0]
self.model._on_image_loaded(first_reading, self.first_image)
|
573 |
https://:@github.com/iamsteadman/bambu-buffer.git
|
5704abdda5297d6cde2ccac7f91ded4108e1f616
|
@@ -12,7 +12,7 @@ def post_save_receiver(sender, instance, **kwargs):
name = m.pop(0)
app, model = name.lower().split('.')
- if app != instance._meta.app_label and model != instance._meta.module_name:
+ if app != instance._meta.app_label or model != instance._meta.module_name:
continue
if any(m):
|
bambu_buffer/receivers.py
|
ReplaceText(target='or' @(15,43)->(15,46))
|
def post_save_receiver(sender, instance, **kwargs):
name = m.pop(0)
app, model = name.lower().split('.')
if app != instance._meta.app_label and model != instance._meta.module_name:
continue
if any(m):
|
def post_save_receiver(sender, instance, **kwargs):
name = m.pop(0)
app, model = name.lower().split('.')
if app != instance._meta.app_label or model != instance._meta.module_name:
continue
if any(m):
|
574 |
https://:@github.com/khllkcm/templot.git
|
d4b329d16f94e3808e54b05116a8545e987a5e7b
|
@@ -95,7 +95,7 @@ def plot_aggregated_map(
if aggregation_method not in aggregates:
raise ValueError(
- f"{group} is not a valid aggregation method. Possible values are: {', '.join([k for k in aggregates])}"
+ f"{aggregation_method} is not a valid aggregation method. Possible values are: {', '.join([k for k in aggregates])}"
)
map_data = aggregates[aggregation_method][variables]
|
templot/plot_aggregated_map.py
|
ReplaceText(target='aggregation_method' @(98,15)->(98,20))
|
def plot_aggregated_map(
if aggregation_method not in aggregates:
raise ValueError(
f"{group} is not a valid aggregation method. Possible values are: {', '.join([k for k in aggregates])}"
)
map_data = aggregates[aggregation_method][variables]
|
def plot_aggregated_map(
if aggregation_method not in aggregates:
raise ValueError(
f"{aggregation_method} is not a valid aggregation method. Possible values are: {', '.join([k for k in aggregates])}"
)
map_data = aggregates[aggregation_method][variables]
|
575 |
https://:@github.com/cjneely10/BioMetaDB.git
|
71352d2e75c038af886007c7b82591896aa23e1c
|
@@ -146,4 +146,4 @@ def create_database(db_name, table_name, directory_name, data_file, alias, silen
if not silent:
_initialization_display_message_epilogue()
if not integrity_cancel:
- integrity_check(directory_name, table_name, "None", silent)
+ integrity_check(db_name, table_name, "None", silent)
|
BioMetaDB/DBOperations/create_database.py
|
ReplaceText(target='db_name' @(149,24)->(149,38))
|
def create_database(db_name, table_name, directory_name, data_file, alias, silen
if not silent:
_initialization_display_message_epilogue()
if not integrity_cancel:
integrity_check(directory_name, table_name, "None", silent)
|
def create_database(db_name, table_name, directory_name, data_file, alias, silen
if not silent:
_initialization_display_message_epilogue()
if not integrity_cancel:
integrity_check(db_name, table_name, "None", silent)
|
576 |
https://:@github.com/lsst-sqre/kubespawner.git
|
5f0ca5f9734552b4c40563828899316d2b69156c
|
@@ -361,7 +361,7 @@ class KubeSpawner(Spawner):
# shut down to complete
while True:
data = yield self.get_pod_info(self.pod_name)
- if data is not None:
+ if data is None:
break
time.sleep(5)
|
kubespawner/spawner.py
|
ReplaceText(target=' is ' @(364,23)->(364,31))
|
class KubeSpawner(Spawner):
# shut down to complete
while True:
data = yield self.get_pod_info(self.pod_name)
if data is not None:
break
time.sleep(5)
|
class KubeSpawner(Spawner):
# shut down to complete
while True:
data = yield self.get_pod_info(self.pod_name)
if data is None:
break
time.sleep(5)
|
577 |
https://:@github.com/lsst-sqre/kubespawner.git
|
df9936a785e34c898ffd065f17697a0035cf310c
|
@@ -404,7 +404,7 @@ class KubeSpawner(Spawner):
@gen.coroutine
def start(self):
pvc_data = get_pvc_info(self.pvc_name)
- if pvc_data is not None:
+ if pvc_data is None:
pvc_manifest = self.get_pvc_manifest()
yield self.httpclient.fetch(self.request(
url=k8s_url(self.namespace, 'persistentvolumeclaims'),
|
kubespawner/spawner.py
|
ReplaceText(target=' is ' @(407,19)->(407,27))
|
class KubeSpawner(Spawner):
@gen.coroutine
def start(self):
pvc_data = get_pvc_info(self.pvc_name)
if pvc_data is not None:
pvc_manifest = self.get_pvc_manifest()
yield self.httpclient.fetch(self.request(
url=k8s_url(self.namespace, 'persistentvolumeclaims'),
|
class KubeSpawner(Spawner):
@gen.coroutine
def start(self):
pvc_data = get_pvc_info(self.pvc_name)
if pvc_data is None:
pvc_manifest = self.get_pvc_manifest()
yield self.httpclient.fetch(self.request(
url=k8s_url(self.namespace, 'persistentvolumeclaims'),
|
578 |
https://:@github.com/d-meiser/cold-atoms.git
|
8235e3bc1d9cc9b1bbfe27948d24adc48db33f06
|
@@ -48,5 +48,5 @@ def bend_kick(dt, Bz, ensemble, forces, reference_impl=False):
f = np.zeros_like(ensemble.v)
for force in forces:
force.force(dt, ensemble, f)
- ensemble.v *= f / m
+ ensemble.v += f / m
updater(0.5 * dt, omegaB, ensemble.x, ensemble.v)
|
src/coldatoms/bend_kick.py
|
ReplaceText(target='+=' @(51,19)->(51,21))
|
def bend_kick(dt, Bz, ensemble, forces, reference_impl=False):
f = np.zeros_like(ensemble.v)
for force in forces:
force.force(dt, ensemble, f)
ensemble.v *= f / m
updater(0.5 * dt, omegaB, ensemble.x, ensemble.v)
|
def bend_kick(dt, Bz, ensemble, forces, reference_impl=False):
f = np.zeros_like(ensemble.v)
for force in forces:
force.force(dt, ensemble, f)
ensemble.v += f / m
updater(0.5 * dt, omegaB, ensemble.x, ensemble.v)
|
579 |
https://:@github.com/silvacms/silva.pas.base.git
|
d0e1b5196420a6a1359fc5f45d220d172f7a1e01
|
@@ -41,7 +41,7 @@ class SilvaCascadingPASPlugin(SearchPrincipalsPlugin):
for authenticator_id, auth in authenticators:
try:
info = auth.authenticateCredentials(credentials)
- if info is not None and info[0] is None:
+ if info is not None and info[0] is not None:
# Failed login can be None OR (None, None)
return info
except _SWALLOWABLE_PLUGIN_EXCEPTIONS:
|
src/silva/pas/base/plugins/cascading.py
|
ReplaceText(target=' is not ' @(44,47)->(44,51))
|
class SilvaCascadingPASPlugin(SearchPrincipalsPlugin):
for authenticator_id, auth in authenticators:
try:
info = auth.authenticateCredentials(credentials)
if info is not None and info[0] is None:
# Failed login can be None OR (None, None)
return info
except _SWALLOWABLE_PLUGIN_EXCEPTIONS:
|
class SilvaCascadingPASPlugin(SearchPrincipalsPlugin):
for authenticator_id, auth in authenticators:
try:
info = auth.authenticateCredentials(credentials)
if info is not None and info[0] is not None:
# Failed login can be None OR (None, None)
return info
except _SWALLOWABLE_PLUGIN_EXCEPTIONS:
|
580 |
https://:@github.com/jgolob/maliampi.git
|
dd0a5bf78106e083005db0e7bd21f1122e63f162
|
@@ -239,7 +239,7 @@ class Workflow_Placement(sl.WorkflowTask):
lpca = self.new_task(
'calculate_lpca',
Jplace_PCA,
- containerinfo=long_containerinfo,
+ containerinfo=highmem_containerinfo,
path=os.path.join(
self.destination_dir,
'placement',
|
maliampi/subcommands/placement.py
|
ReplaceText(target='highmem_containerinfo' @(242,26)->(242,44))
|
class Workflow_Placement(sl.WorkflowTask):
lpca = self.new_task(
'calculate_lpca',
Jplace_PCA,
containerinfo=long_containerinfo,
path=os.path.join(
self.destination_dir,
'placement',
|
class Workflow_Placement(sl.WorkflowTask):
lpca = self.new_task(
'calculate_lpca',
Jplace_PCA,
containerinfo=highmem_containerinfo,
path=os.path.join(
self.destination_dir,
'placement',
|
581 |
https://:@github.com/jgolob/maliampi.git
|
cdea28dbb12093af0165e983149da396b69fe33a
|
@@ -115,7 +115,7 @@ class Workflow_DADA2(sl.WorkflowTask):
batch_errModels[batch] = self.new_task(
'dada2_learn_error_batch_{}'.format(batch),
DADA2_LearnError,
- containerinfo=heavy_containerinfo,
+ containerinfo=midcpu_containerinfo,
batch=batch,
tar_reads=False,
path=os.path.join(
|
maliampi/subcommands/sv_dada2.py
|
ReplaceText(target='midcpu_containerinfo' @(118,30)->(118,49))
|
class Workflow_DADA2(sl.WorkflowTask):
batch_errModels[batch] = self.new_task(
'dada2_learn_error_batch_{}'.format(batch),
DADA2_LearnError,
containerinfo=heavy_containerinfo,
batch=batch,
tar_reads=False,
path=os.path.join(
|
class Workflow_DADA2(sl.WorkflowTask):
batch_errModels[batch] = self.new_task(
'dada2_learn_error_batch_{}'.format(batch),
DADA2_LearnError,
containerinfo=midcpu_containerinfo,
batch=batch,
tar_reads=False,
path=os.path.join(
|
582 |
https://:@github.com/jgolob/maliampi.git
|
3cde81cdd2b908b7edd44a000986744301092fae
|
@@ -203,7 +203,7 @@ class Workflow_Classify(sl.WorkflowTask):
placement_db_classified = self.new_task(
'classify_into_placement_db',
PlacementDB_Classify_SV,
- containerinfo=heavy_containerinfo,
+ containerinfo=midcpu_containerinfo,
)
placement_db_classified.in_placement_db = placement_db_w_si.out_placement_db
placement_db_classified.in_refpkg_tgz = refpkg_tgz.out_refpkg_tgz
|
maliampi/subcommands/classify.py
|
ReplaceText(target='midcpu_containerinfo' @(206,26)->(206,45))
|
class Workflow_Classify(sl.WorkflowTask):
placement_db_classified = self.new_task(
'classify_into_placement_db',
PlacementDB_Classify_SV,
containerinfo=heavy_containerinfo,
)
placement_db_classified.in_placement_db = placement_db_w_si.out_placement_db
placement_db_classified.in_refpkg_tgz = refpkg_tgz.out_refpkg_tgz
|
class Workflow_Classify(sl.WorkflowTask):
placement_db_classified = self.new_task(
'classify_into_placement_db',
PlacementDB_Classify_SV,
containerinfo=midcpu_containerinfo,
)
placement_db_classified.in_placement_db = placement_db_w_si.out_placement_db
placement_db_classified.in_refpkg_tgz = refpkg_tgz.out_refpkg_tgz
|
583 |
https://:@github.com/jgolob/maliampi.git
|
f50cfcea1e390ae5eb05de0c116c2251a09f4864
|
@@ -203,7 +203,7 @@ class Workflow_Classify(sl.WorkflowTask):
placement_db_classified = self.new_task(
'classify_into_placement_db',
PlacementDB_Classify_SV,
- containerinfo=midcpu_containerinfo,
+ containerinfo=highmem_containerinfo,
)
placement_db_classified.in_placement_db = placement_db_w_si.out_placement_db
placement_db_classified.in_refpkg_tgz = refpkg_tgz.out_refpkg_tgz
|
maliampi/subcommands/classify.py
|
ReplaceText(target='highmem_containerinfo' @(206,26)->(206,46))
|
class Workflow_Classify(sl.WorkflowTask):
placement_db_classified = self.new_task(
'classify_into_placement_db',
PlacementDB_Classify_SV,
containerinfo=midcpu_containerinfo,
)
placement_db_classified.in_placement_db = placement_db_w_si.out_placement_db
placement_db_classified.in_refpkg_tgz = refpkg_tgz.out_refpkg_tgz
|
class Workflow_Classify(sl.WorkflowTask):
placement_db_classified = self.new_task(
'classify_into_placement_db',
PlacementDB_Classify_SV,
containerinfo=highmem_containerinfo,
)
placement_db_classified.in_placement_db = placement_db_w_si.out_placement_db
placement_db_classified.in_refpkg_tgz = refpkg_tgz.out_refpkg_tgz
|
584 |
https://:@github.com/d3rp/clima.git
|
92eced31f43fd49f87e6af8582066a25fc0ba726
|
@@ -46,7 +46,7 @@ def SeparateFlagArgs(args: list):
Returns:
A tuple with the Fire args (a list), followed by the Flag args (a list).
"""
- if len(args) > 1 and (args[-1] == '-h' or args[-1] == '--help') and '--' not in args:
+ if len(args) > 0 and (args[-1] == '-h' or args[-1] == '--help') and '--' not in args:
args.pop()
args.append('--')
args.append('-h')
|
clima/fire/parser.py
|
ReplaceText(target='0' @(49,17)->(49,18))
|
def SeparateFlagArgs(args: list):
Returns:
A tuple with the Fire args (a list), followed by the Flag args (a list).
"""
if len(args) > 1 and (args[-1] == '-h' or args[-1] == '--help') and '--' not in args:
args.pop()
args.append('--')
args.append('-h')
|
def SeparateFlagArgs(args: list):
Returns:
A tuple with the Fire args (a list), followed by the Flag args (a list).
"""
if len(args) > 0 and (args[-1] == '-h' or args[-1] == '--help') and '--' not in args:
args.pop()
args.append('--')
args.append('-h')
|
585 |
https://:@github.com/jeffkinnison/pyrameter.git
|
306c95b1e0643fc47e0206281cd12c714849782d
|
@@ -47,7 +47,7 @@ def backend_factory(path, *args, **kwargs):
if os.path.isfile(path) or os.path.isdir(path):
from pyrameter.db.local import JsonStorage
return JsonStorage(path, *args, **kwargs)
- elif path.find('mongodb://') >= 0:
+ elif path.find('mongodb://') == 0:
from pyrameter.db.mongo import MongoStorage
return MongoStorage(path, *args, **kwargs)
else:
|
pyrameter/db/backend_factory.py
|
ReplaceText(target='==' @(50,33)->(50,35))
|
def backend_factory(path, *args, **kwargs):
if os.path.isfile(path) or os.path.isdir(path):
from pyrameter.db.local import JsonStorage
return JsonStorage(path, *args, **kwargs)
elif path.find('mongodb://') >= 0:
from pyrameter.db.mongo import MongoStorage
return MongoStorage(path, *args, **kwargs)
else:
|
def backend_factory(path, *args, **kwargs):
if os.path.isfile(path) or os.path.isdir(path):
from pyrameter.db.local import JsonStorage
return JsonStorage(path, *args, **kwargs)
elif path.find('mongodb://') == 0:
from pyrameter.db.mongo import MongoStorage
return MongoStorage(path, *args, **kwargs)
else:
|
586 |
https://:@github.com/RADAR-base/pyRADAR-processing.git
|
2c6ea694e1d40b9c16d6a10e10c0af9afd5a3d0d
|
@@ -115,7 +115,7 @@ class Project(RadarObject):
self.ptcs_update_info(info)
labels = kwargs.get('labels', False)
- if info:
+ if labels:
for ptc in labels:
if ptc not in self.participants:
self.add_participant(ptc)
|
radar/wrappers.py
|
ReplaceText(target='labels' @(118,11)->(118,15))
|
class Project(RadarObject):
self.ptcs_update_info(info)
labels = kwargs.get('labels', False)
if info:
for ptc in labels:
if ptc not in self.participants:
self.add_participant(ptc)
|
class Project(RadarObject):
self.ptcs_update_info(info)
labels = kwargs.get('labels', False)
if labels:
for ptc in labels:
if ptc not in self.participants:
self.add_participant(ptc)
|
587 |
https://:@github.com/marshallward/ropes.git
|
b8fd70b68d2ec157c7f2397aab3931e50c5a16ae
|
@@ -145,7 +145,7 @@ class Rope(object):
else:
if start is None:
offset = index.step + (head.length - 1) % (-index.step)
- elif start > 0:
+ elif start >= 0:
offset = index.step + min(start, head.length - 1) % (-index.step)
else:
offset = index.step + (start + head.length) % (-index.step)
|
ropes.py
|
ReplaceText(target='>=' @(148,35)->(148,36))
|
class Rope(object):
else:
if start is None:
offset = index.step + (head.length - 1) % (-index.step)
elif start > 0:
offset = index.step + min(start, head.length - 1) % (-index.step)
else:
offset = index.step + (start + head.length) % (-index.step)
|
class Rope(object):
else:
if start is None:
offset = index.step + (head.length - 1) % (-index.step)
elif start >= 0:
offset = index.step + min(start, head.length - 1) % (-index.step)
else:
offset = index.step + (start + head.length) % (-index.step)
|
588 |
https://:@github.com/pkgw/bibtools.git
|
2273ff1a94f4f6952026c5ab1d3ddffa042f2158
|
@@ -204,7 +204,7 @@ class Dump (multitool.Command):
help_if_no_args = False
def invoke (self, args, app=None, **kwargs):
- if len (args) != 1:
+ if len (args) != 0:
raise multitool.UsageError ('expected no arguments')
app.export_all (sys.stdout, 72)
|
bibtools/cli.py
|
ReplaceText(target='0' @(207,25)->(207,26))
|
class Dump (multitool.Command):
help_if_no_args = False
def invoke (self, args, app=None, **kwargs):
if len (args) != 1:
raise multitool.UsageError ('expected no arguments')
app.export_all (sys.stdout, 72)
|
class Dump (multitool.Command):
help_if_no_args = False
def invoke (self, args, app=None, **kwargs):
if len (args) != 0:
raise multitool.UsageError ('expected no arguments')
app.export_all (sys.stdout, 72)
|
589 |
https://:@github.com/cooper-software/hammock.git
|
ed682f4d33be53d7d2f2b21b384a36a2770c6cf5
|
@@ -20,7 +20,7 @@ class Hammock(object):
entities = set()
self.collections_by_class_name = {}
- for collection_cls in collections:
+ for collection_cls in collection_classes:
entities.add(collection_cls.entity)
collection = collection_cls(storage)
self.collections_by_class_name[collection_cls.__name__] = collection
|
hammock/__init__.py
|
ReplaceText(target='collection_classes' @(23,24)->(23,35))
|
class Hammock(object):
entities = set()
self.collections_by_class_name = {}
for collection_cls in collections:
entities.add(collection_cls.entity)
collection = collection_cls(storage)
self.collections_by_class_name[collection_cls.__name__] = collection
|
class Hammock(object):
entities = set()
self.collections_by_class_name = {}
for collection_cls in collection_classes:
entities.add(collection_cls.entity)
collection = collection_cls(storage)
self.collections_by_class_name[collection_cls.__name__] = collection
|
590 |
https://:@github.com/bempp/bempp-cl.git
|
7ab5546ce89b626e146cb29433ed1113a3c72c9c
|
@@ -97,7 +97,7 @@ def visualize_with_jupyter_notebook(obj, mode="element", transformation=None):
for element in grid.entity_iterator(0):
index = element.index
local_values = np.real(
- transformation(obj.evaluate(element, local_coordinates))
+ transformation(obj.evaluate(index, local_coordinates))
)
values[index] = local_values.flatten()
|
bempp/api/external/viewers.py
|
ReplaceText(target='index' @(100,44)->(100,51))
|
def visualize_with_jupyter_notebook(obj, mode="element", transformation=None):
for element in grid.entity_iterator(0):
index = element.index
local_values = np.real(
transformation(obj.evaluate(element, local_coordinates))
)
values[index] = local_values.flatten()
|
def visualize_with_jupyter_notebook(obj, mode="element", transformation=None):
for element in grid.entity_iterator(0):
index = element.index
local_values = np.real(
transformation(obj.evaluate(index, local_coordinates))
)
values[index] = local_values.flatten()
|
591 |
https://:@github.com/bempp/bempp-cl.git
|
094eb06f36e837f3a17d2abe23f4bb78d1a32dc0
|
@@ -91,7 +91,7 @@ def assemble_dense(
cols = domain.global_dof_count
nshape_test = dual_to_range.number_of_shape_functions
- nshape_trial = dual_to_range.number_of_shape_functions
+ nshape_trial = domain.number_of_shape_functions
precision = operator_descriptor.precision
|
bempp/core/numba/dense_assembler.py
|
ReplaceText(target='domain' @(94,19)->(94,32))
|
def assemble_dense(
cols = domain.global_dof_count
nshape_test = dual_to_range.number_of_shape_functions
nshape_trial = dual_to_range.number_of_shape_functions
precision = operator_descriptor.precision
|
def assemble_dense(
cols = domain.global_dof_count
nshape_test = dual_to_range.number_of_shape_functions
nshape_trial = domain.number_of_shape_functions
precision = operator_descriptor.precision
|
592 |
https://:@github.com/bempp/bempp-cl.git
|
242da1c08304423e6ef6ead60e691928426dab1b
|
@@ -1035,9 +1035,9 @@ def helmholtz_hypersingular_regular(
] * (
curl_product[test_fun_index, trial_fun_index]
- wavenumber
- * wavenumber
+ * wavenumber
* local_test_fun_values[
- 0, test_fun_index, quad_point_index
+ 0, test_fun_index, test_point_index
]
* local_trial_fun_values[
0, trial_fun_index, quad_point_index
|
bempp/core/numba/kernels.py
|
ReplaceText(target='test_point_index' @(1040,55)->(1040,71))
|
def helmholtz_hypersingular_regular(
] * (
curl_product[test_fun_index, trial_fun_index]
- wavenumber
* wavenumber
* local_test_fun_values[
0, test_fun_index, quad_point_index
]
* local_trial_fun_values[
0, trial_fun_index, quad_point_index
|
def helmholtz_hypersingular_regular(
] * (
curl_product[test_fun_index, trial_fun_index]
- wavenumber
* wavenumber
* local_test_fun_values[
0, test_fun_index, test_point_index
]
* local_trial_fun_values[
0, trial_fun_index, quad_point_index
|
593 |
https://:@github.com/bempp/bempp-cl.git
|
1bb4a1c097e4e3e87ed328f37cde5abd9c0c24b9
|
@@ -33,7 +33,7 @@ class DensePotentialAssembler(object):
x_transformed = self.space.map_to_full_grid @ (
self.space.dof_transformation @ x
)
- result = implementation(x)
+ result = implementation(x_transformed)
return result.reshape([kernel_dimension, -1], order="F")
self._evaluator = potential_evaluator
|
bempp/core/dense_potential_assembler.py
|
ReplaceText(target='x_transformed' @(36,36)->(36,37))
|
class DensePotentialAssembler(object):
x_transformed = self.space.map_to_full_grid @ (
self.space.dof_transformation @ x
)
result = implementation(x)
return result.reshape([kernel_dimension, -1], order="F")
self._evaluator = potential_evaluator
|
class DensePotentialAssembler(object):
x_transformed = self.space.map_to_full_grid @ (
self.space.dof_transformation @ x
)
result = implementation(x_transformed)
return result.reshape([kernel_dimension, -1], order="F")
self._evaluator = potential_evaluator
|
594 |
https://:@bitbucket.org/agaveapi/agaveflask.git
|
17f24e257b275fe1bf64afcf6a5b09d87ab05b79
|
@@ -34,7 +34,7 @@ def read_config(conf_file='service.conf'):
raise RuntimeError('No config file found.')
if not parser.parser.read(place):
raise RuntimeError("couldn't read config file from {0}"
- .format(', '.join(place)))
+ .format(', '.join(places)))
return parser
Config = read_config()
\ No newline at end of file
|
agaveflask/config.py
|
ReplaceText(target='places' @(37,45)->(37,50))
|
def read_config(conf_file='service.conf'):
raise RuntimeError('No config file found.')
if not parser.parser.read(place):
raise RuntimeError("couldn't read config file from {0}"
.format(', '.join(place)))
return parser
Config = read_config()
\ No newline at end of file
|
def read_config(conf_file='service.conf'):
raise RuntimeError('No config file found.')
if not parser.parser.read(place):
raise RuntimeError("couldn't read config file from {0}"
.format(', '.join(places)))
return parser
Config = read_config()
\ No newline at end of file
|
595 |
https://:@github.com/llazzaro/jarvispatrick.git
|
05457d04a6982a47c39d5109b6e91efa6441bd93
|
@@ -27,7 +27,7 @@ class JarvisPatrick(object):
def __call__(self, number_of_neighbors, number_of_common_neighbors):
"""
"""
- if number_of_common_neighbors >= number_of_neighbors:
+ if number_of_common_neighbors > number_of_neighbors:
raise ValueError('Asked for more common neighbors than number of neighbors')
neighbors_list = {}
for element in self.dataset_elements:
|
jarvispatrick/__init__.py
|
ReplaceText(target='>' @(30,38)->(30,40))
|
class JarvisPatrick(object):
def __call__(self, number_of_neighbors, number_of_common_neighbors):
"""
"""
if number_of_common_neighbors >= number_of_neighbors:
raise ValueError('Asked for more common neighbors than number of neighbors')
neighbors_list = {}
for element in self.dataset_elements:
|
class JarvisPatrick(object):
def __call__(self, number_of_neighbors, number_of_common_neighbors):
"""
"""
if number_of_common_neighbors > number_of_neighbors:
raise ValueError('Asked for more common neighbors than number of neighbors')
neighbors_list = {}
for element in self.dataset_elements:
|
596 |
https://:@github.com/kennydo/oauthlib.git
|
1f292e6923aa9419d28e3700e22102dffd447886
|
@@ -112,7 +112,7 @@ def collect_parameters(uri_query='', body='', headers=None,
if isinstance(k, str):
k = k.decode('utf-8')
if isinstance(v, str):
- if v.startswith('oauth_'):
+ if k.startswith('oauth_'):
v = utils.unescape(v)
else:
v = v.decode('utf-8')
|
oauthlib/oauth1/rfc5849/signature.py
|
ReplaceText(target='k' @(115,15)->(115,16))
|
def collect_parameters(uri_query='', body='', headers=None,
if isinstance(k, str):
k = k.decode('utf-8')
if isinstance(v, str):
if v.startswith('oauth_'):
v = utils.unescape(v)
else:
v = v.decode('utf-8')
|
def collect_parameters(uri_query='', body='', headers=None,
if isinstance(k, str):
k = k.decode('utf-8')
if isinstance(v, str):
if k.startswith('oauth_'):
v = utils.unescape(v)
else:
v = v.decode('utf-8')
|
597 |
https://:@github.com/kennydo/oauthlib.git
|
8f57459fbbab1f317d5475f31f90b1a75016a2a8
|
@@ -281,7 +281,7 @@ def add_params_to_uri(uri, params, fragment=False):
"""Add a list of two-tuples to the uri query components."""
sch, net, path, par, query, fra = urlparse.urlparse(uri)
if fragment:
- fra = add_params_to_qs(query, params)
+ fra = add_params_to_qs(fra, params)
else:
query = add_params_to_qs(query, params)
return urlparse.urlunparse((sch, net, path, par, query, fra))
|
oauthlib/common.py
|
ReplaceText(target='fra' @(284,31)->(284,36))
|
def add_params_to_uri(uri, params, fragment=False):
"""Add a list of two-tuples to the uri query components."""
sch, net, path, par, query, fra = urlparse.urlparse(uri)
if fragment:
fra = add_params_to_qs(query, params)
else:
query = add_params_to_qs(query, params)
return urlparse.urlunparse((sch, net, path, par, query, fra))
|
def add_params_to_uri(uri, params, fragment=False):
"""Add a list of two-tuples to the uri query components."""
sch, net, path, par, query, fra = urlparse.urlparse(uri)
if fragment:
fra = add_params_to_qs(fra, params)
else:
query = add_params_to_qs(query, params)
return urlparse.urlunparse((sch, net, path, par, query, fra))
|
598 |
https://:@github.com/jakobrunge/tigramite.git
|
2011867b0f0cc4c3ca6bb3317b2a3a37d828116b
|
@@ -236,7 +236,7 @@ def time_bin_with_mask(data, time_bin_length, sample_selector=None):
sample_selector.shape = (T, 1)
bindata = numpy.zeros(
- (T / time_bin_length,) + data.shape[1:], dtype="float32")
+ (T // time_bin_length,) + data.shape[1:], dtype="float32")
for index, i in enumerate(range(0, T - time_bin_length + 1,
time_bin_length)):
# print weighted_avg_and_std(fulldata[i:i+time_bin_length], axis=0,
|
tigramite/data_processing.py
|
ReplaceText(target='//' @(239,11)->(239,12))
|
def time_bin_with_mask(data, time_bin_length, sample_selector=None):
sample_selector.shape = (T, 1)
bindata = numpy.zeros(
(T / time_bin_length,) + data.shape[1:], dtype="float32")
for index, i in enumerate(range(0, T - time_bin_length + 1,
time_bin_length)):
# print weighted_avg_and_std(fulldata[i:i+time_bin_length], axis=0,
|
def time_bin_with_mask(data, time_bin_length, sample_selector=None):
sample_selector.shape = (T, 1)
bindata = numpy.zeros(
(T // time_bin_length,) + data.shape[1:], dtype="float32")
for index, i in enumerate(range(0, T - time_bin_length + 1,
time_bin_length)):
# print weighted_avg_and_std(fulldata[i:i+time_bin_length], axis=0,
|
599 |
https://:@github.com/jakobrunge/tigramite.git
|
2011867b0f0cc4c3ca6bb3317b2a3a37d828116b
|
@@ -528,7 +528,7 @@ class LinearMediation(Models):
def tsg_to_net(self, node, max_lag):
"""Helper function to translate from time series graph to network."""
- row = node / max_lag
+ row = node // max_lag
lag = node % max_lag
return (row, -lag)
|
tigramite/models.py
|
ReplaceText(target='//' @(531,19)->(531,20))
|
class LinearMediation(Models):
def tsg_to_net(self, node, max_lag):
"""Helper function to translate from time series graph to network."""
row = node / max_lag
lag = node % max_lag
return (row, -lag)
|
class LinearMediation(Models):
def tsg_to_net(self, node, max_lag):
"""Helper function to translate from time series graph to network."""
row = node // max_lag
lag = node % max_lag
return (row, -lag)
|
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