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bb3df689acb26b6bb768fbfb
train
class
class Documentation(DjangoDocElement): def __str__(self): return "\n\n\n".join(str(part) for part in self.parts) def get_part(self, part_slug): return self.parts_by_slug.get(part_slug) def get_chapter(self, part_slug, chapter_slug): part = self.parts_by_slug.get(part_slug) ...
class Documentation(DjangoDocElement):
def __str__(self): return "\n\n\n".join(str(part) for part in self.parts) def get_part(self, part_slug): return self.parts_by_slug.get(part_slug) def get_chapter(self, part_slug, chapter_slug): part = self.parts_by_slug.get(part_slug) if part: return part.chapte...
skip cls in docstring extraction.""" return cls.__name__.endswith("Box") or (hasattr(cls, "no_doc") and cls.no_doc) def skip_module_doc(module, modules_seen): return ( module.__doc__ is None or module in modules_seen or hasattr(module, "no_doc") and module.no_doc ) class...
256
256
875
7
249
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
Documentation
Documentation
99
230
99
99
079f924facdb42da5708da1d687b5e33f5144862
bigcode/the-stack
train
6711dddc3fc03be6e894f6df
train
function
def skip_doc(cls): """Returns True if we should skip cls in docstring extraction.""" return cls.__name__.endswith("Box") or (hasattr(cls, "no_doc") and cls.no_doc)
def skip_doc(cls):
"""Returns True if we should skip cls in docstring extraction.""" return cls.__name__.endswith("Box") or (hasattr(cls, "no_doc") and cls.no_doc)
_doc_html_data_path(should_be_readable=True) with open(doc_data_path, "rb") as doc_data_file: doc_data = pickle.load(doc_data_file) except IOError: print(f"Trouble reading Doc file {doc_data_path}") doc_data = {} def skip_doc(cls):
63
64
45
5
58
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
skip_doc
skip_doc
58
60
58
58
d27db50dd7e0c146cebfd0508d85653999e4c1e5
bigcode/the-stack
train
791f491bf7dc7163c6a27cb9
train
class
class DjangoDocPart(DjangoDocElement): def __init__(self, doc, title, is_reference=False): self.doc = doc self.title = title self.slug = slugify(title) self.chapters = [] self.chapters_by_slug = {} self.is_reference = is_reference self.is_appendix = False ...
class DjangoDocPart(DjangoDocElement):
def __init__(self, doc, title, is_reference=False): self.doc = doc self.title = title self.slug = slugify(title) self.chapters = [] self.chapters_by_slug = {} self.is_reference = is_reference self.is_appendix = False doc.parts_by_slug[self.slug] = self...
= {self.title} =\n\n{sections}" def get_collection(self): """Return a list of chapters in the part of this chapter.""" return self.part.chapters def get_uri(self) -> str: return f"/{self.part.slug}/{self.slug}/" class DjangoDocPart(DjangoDocElement):
70
70
234
9
61
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
DjangoDocPart
DjangoDocPart
684
715
684
684
828862e6c9feea76042db9f06a0102d468be07b9
bigcode/the-stack
train
ea8ba67cb1f3b404af4ed093
train
class
class DjangoDocElement(object): def href(self, ajax=False): if ajax: return "javascript:loadDoc('%s')" % self.get_uri() else: return "/doc%s" % self.get_uri() def get_prev(self): return self.get_prev_next()[0] def get_next(self): return self.get_prev...
class DjangoDocElement(object):
def href(self, ajax=False): if ajax: return "javascript:loadDoc('%s')" % self.get_uri() else: return "/doc%s" % self.get_uri() def get_prev(self): return self.get_prev_next()[0] def get_next(self): return self.get_prev_next()[1] def get_collecti...
(hasattr(cls, "no_doc") and cls.no_doc) def skip_module_doc(module, modules_seen): return ( module.__doc__ is None or module in modules_seen or hasattr(module, "no_doc") and module.no_doc ) class DjangoDocElement(object):
64
64
172
6
58
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
DjangoDocElement
DjangoDocElement
72
96
72
72
475783117548d67c0cca1c196ca49363751f38ea
bigcode/the-stack
train
e26efef9d8a45b709c699450
train
class
class MathicsMainDocumentation(Documentation): def __init__(self): self.doc_dir = settings.DOC_DIR self.parts = [] self.parts_by_slug = {} self.pymathics_doc_loaded = False self.title = "Overview" files = listdir(self.doc_dir) files.sort() appendix = [...
class MathicsMainDocumentation(Documentation):
def __init__(self): self.doc_dir = settings.DOC_DIR self.parts = [] self.parts_by_slug = {} self.pymathics_doc_loaded = False self.title = "Overview" files = listdir(self.doc_dir) files.sort() appendix = [] for file in files: part_...
exact: return -4 if name == query else -3 if name.startswith(query): return -2 if query in name: return -1 lower_name = name.lower() if lower_name.startswith(query): return 0 if lower_name in qu...
256
256
1,788
8
247
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
MathicsMainDocumentation
MathicsMainDocumentation
233
506
233
233
b629cea905452693889a3f6638f3f81080e24f28
bigcode/the-stack
train
929c61ff2512875911d74f45
train
class
class DjangoDocSubsection(DjangoDocElement): """An object for a Django Documented Subsection. A Subsection is part of a Section. """ def __init__( self, chapter, section, title, text, operator=None, installed=True, in_guide=False, ...
class DjangoDocSubsection(DjangoDocElement):
"""An object for a Django Documented Subsection. A Subsection is part of a Section. """ def __init__( self, chapter, section, title, text, operator=None, installed=True, in_guide=False, summary_text="", ): """ I...
self.installed = installed self.slug = slugify(title) self.section = submodule self.slug = slugify(title) self.subsections = [] self.subsections_by_slug = {} self.title = title # FIXME: Sections never are operators. Subsections can have # operators thoug...
202
203
679
10
192
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
DjangoDocSubsection
DjangoDocSubsection
817
910
817
817
bdf39e06c771ad9558f2b4e0724c2ac83b207f9a
bigcode/the-stack
train
ef09b1258658f7974d57e6cf
train
class
class DjangoDocTests(DocTests): def __init__(self): self.tests = [] self.text = "" def html(self, counters=None): if len(self.tests) == 0: return "\n" return '<ul class="tests">%s</ul>' % ( "\n".join( "<li>%s</li>" % test.html() for test i...
class DjangoDocTests(DocTests):
def __init__(self): self.tests = [] self.text = "" def html(self, counters=None): if len(self.tests) == 0: return "\n" return '<ul class="tests">%s</ul>' % ( "\n".join( "<li>%s</li>" % test.html() for test in self.tests if not test.private...
r["result"]: # is not None and result['result'].strip(): result += f'<li class="result">{r["result"]}</li>' result += "</ul>" result += "</ul>" result += "</div>" return result class DjangoDocTests(DocTests):
64
64
111
8
55
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
DjangoDocTests
DjangoDocTests
951
966
951
951
1ccab70176d24476fec72fac6346481b127daa43
bigcode/the-stack
train
bba14f76249ae6556edcf39d
train
class
class PyMathicsDocumentation(Documentation): def __init__(self, module=None): self.title = "Overview" self.parts = [] self.parts_by_slug = {} self.doc_dir = None self.doc_data_file = None self.symbols = {} if module is None: return import ...
class PyMathicsDocumentation(Documentation):
def __init__(self, module=None): self.title = "Overview" self.parts = [] self.parts_by_slug = {} self.doc_dir = None self.doc_data_file = None self.symbols = {} if module is None: return import importlib # Load the module and veri...
from mathics.settings import default_pymathics_modules pymathicspart = None # Look the "Pymathics Modules" part, and if it does not exist, create it. for part in self.parts: if part.title == "Pymathics Modules": pymathicspart = part if pymathicspart is None:...
247
247
826
8
238
shirok1/mathics-django
mathics_django/doc/django_doc.py
Python
PyMathicsDocumentation
PyMathicsDocumentation
509
611
509
509
270232f54718f838ef0b39614b58c02e24c9ef57
bigcode/the-stack
train
15ba1f2b7debc51e962570b9
train
class
class CurrentComponentsSinglePING(CurrentComponents): """ This lass contains methods of computing the current components for the network of a single PING network. :param connectivity: information about connectivity between neurons in the oscillatory network. :type connectivity: Connectivity :param...
class CurrentComponentsSinglePING(CurrentComponents):
""" This lass contains methods of computing the current components for the network of a single PING network. :param connectivity: information about connectivity between neurons in the oscillatory network. :type connectivity: Connectivity :param params_synaptic: contains synaptic parameters. :t...
from src.params.ParamsSynaptic import * from src.izhikevich_simulation.CurrentComponents import * from src.izhikevich_simulation.Connectivity import * import numpy as np class CurrentComponentsSinglePING(CurrentComponents):
47
240
801
8
38
thatmariia/grid-ping
src/izhikevich_simulation/CurrentComponentsSinglePING.py
Python
CurrentComponentsSinglePING
CurrentComponentsSinglePING
9
102
9
9
8a3f82aade4a06164dfb457d4a422560d78ce2d4
bigcode/the-stack
train
64addd479463abd4e3e13c5a
train
class
class QualificationCourseEnricher: """Handles enriching courses with Qualification data""" def __init__(self): blob_helper = BlobHelper() storage_container_name = os.environ["AzureStorageQualificationsContainerName"] storage_blob_name = os.environ["AzureStorageQualificationsBlobName"] ...
class QualificationCourseEnricher:
"""Handles enriching courses with Qualification data""" def __init__(self): blob_helper = BlobHelper() storage_container_name = os.environ["AzureStorageQualificationsContainerName"] storage_blob_name = os.environ["AzureStorageQualificationsBlobName"] csv_string = blob_helper.g...
import os import logging import csv from SharedCode.blob_helper import BlobHelper from SharedCode import exceptions class QualificationCourseEnricher:
32
117
390
7
24
office-for-students/beta-data-pipelines
EtlPipeline/qualification_enricher.py
Python
QualificationCourseEnricher
QualificationCourseEnricher
9
62
9
9
139d02a26a09d429622230e49da068e66a588c6a
bigcode/the-stack
train
2517e5cd43fed75fa847b2fe
train
function
def load_from_gzip_file(gzip_filename): with gzip.GzipFile(gzip_filename, 'r') as fin: # 4. gzip json_bytes = fin.read() # 3. bytes (i.e. UTF-8) json_str = json_bytes.decode('utf-8') # 2. string (i.e. JSON) return json.loads(json_str) # 1. data
def load_from_gzip_file(gzip_filename):
with gzip.GzipFile(gzip_filename, 'r') as fin: # 4. gzip json_bytes = fin.read() # 3. bytes (i.e. UTF-8) json_str = json_bytes.decode('utf-8') # 2. string (i.e. JSON) return json.loads(json_str) # 1. data
= json_str.encode('utf-8') # 3. bytes (i.e. UTF-8) with gzip.GzipFile(gzip_filename, 'w') as f_out: # 4. gzip f_out.write(json_bytes) def load_from_gzip_file(gzip_filename):
64
64
92
10
54
xalperte/tfm-uoc-crawling-system
src/notebooks/json_utils.py
Python
load_from_gzip_file
load_from_gzip_file
19
24
19
19
07b222acd018e4e6215bc4aae997fa9f617730c2
bigcode/the-stack
train
0cb7eac72eafb45a5be6cf25
train
function
def write_to_gzip_file(gzip_filename, data): json_str = json.dumps(data) + "\n" # 2. string (i.e. JSON) json_bytes = json_str.encode('utf-8') # 3. bytes (i.e. UTF-8) with gzip.GzipFile(gzip_filename, 'w') as f_out: # 4. gzip f_out.write(json_bytes)
def write_to_gzip_file(gzip_filename, data):
json_str = json.dumps(data) + "\n" # 2. string (i.e. JSON) json_bytes = json_str.encode('utf-8') # 3. bytes (i.e. UTF-8) with gzip.GzipFile(gzip_filename, 'w') as f_out: # 4. gzip f_out.write(json_bytes)
-8 -* # Copyright (c) 2019 BuildGroup Data Services Inc. # All rights reserved. # This software is proprietary and confidential and may not under # any circumstances be used, copied, or distributed. import gzip import json def write_to_gzip_file(gzip_filename, data):
64
64
93
12
51
xalperte/tfm-uoc-crawling-system
src/notebooks/json_utils.py
Python
write_to_gzip_file
write_to_gzip_file
10
16
10
11
46e5909d5971496328f82a9dcf04245181ca16c7
bigcode/the-stack
train
e5e6c0e7d9ff87cda5193cb2
train
class
class LoggingBaseCommand(BaseCommand): """ Extends BaseCommand with a logger whose level is set from the `--verbosity` option. Verbosity to log level mapping: 0: error 1: warning (default) 2: info 3: debug """ def __init__(self, log_name=None, mapping=None, *args, **kwargs): ...
class LoggingBaseCommand(BaseCommand):
""" Extends BaseCommand with a logger whose level is set from the `--verbosity` option. Verbosity to log level mapping: 0: error 1: warning (default) 2: info 3: debug """ def __init__(self, log_name=None, mapping=None, *args, **kwargs): BaseCommand.__init__(self, *args,...
""" BaseCommand extension adding logger. """ import logging from django.core.management import BaseCommand from oauth2_client.compat import HelpTextFormatter class LoggingBaseCommand(BaseCommand):
36
81
273
7
28
Livit/Labster.OAuth2Client
oauth2_client/utils/django/base_cmd.py
Python
LoggingBaseCommand
LoggingBaseCommand
11
43
11
11
e8fe23100a10c7f07a601158eec5696b1f11922d
bigcode/the-stack
train
7f7f6bec119334d0c311dddc
train
function
def parts_mode(dataset_name, parts_num): if dataset_name == 'coco': k = lambda name: coco_keypoints_id[name] parts_names = coco_keypoints_id elif dataset_name == 'mpii': k = lambda name: mpii_keypoints_id[name] parts_names = mpii_keypoints_id else: print("wrong datase...
def parts_mode(dataset_name, parts_num):
if dataset_name == 'coco': k = lambda name: coco_keypoints_id[name] parts_names = coco_keypoints_id elif dataset_name == 'mpii': k = lambda name: mpii_keypoints_id[name] parts_names = mpii_keypoints_id else: print("wrong dataset name") raise ValueError pa...
= 15 coco_keypoints_id = {} coco_keypoints_id['nose'] = 0 coco_keypoints_id['l_eye'] = 1 coco_keypoints_id['r_eye'] = 2 coco_keypoints_id['l_ear'] = 3 coco_keypoints_id['r_ear'] = 4 coco_keypoints_id['l_shoulder'] = 5 coco_keypoints_id['r_shoulder'] = 6 coco_keypoints_id['l_elbow'] = 7 coco_keypoints_id['r_elbow'] = ...
256
256
1,027
9
246
zhangrj91/DarkPose
src/network_factory/body_parts.py
Python
parts_mode
parts_mode
56
131
56
56
a1eb6caed749b5d95a30344346889f9e61aa0ac1
bigcode/the-stack
train
59e500052c0139b4a100c0fc
train
class
class Migration(migrations.Migration): dependencies = [ ('setting', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='setting', options={'ordering': ('key',), 'verbose_name': 'Parameter', 'verbose_name_plural': 'Parameters'}, ), ]
class Migration(migrations.Migration):
dependencies = [ ('setting', '0001_initial'), ] operations = [ migrations.AlterModelOptions( name='setting', options={'ordering': ('key',), 'verbose_name': 'Parameter', 'verbose_name_plural': 'Parameters'}, ), ]
# Generated by Django 2.1 on 2019-03-13 21:22 from django.db import migrations class Migration(migrations.Migration):
34
64
65
7
26
mucahitnezir/django-starter
setting/migrations/0002_auto_20190314_0022.py
Python
Migration
Migration
6
17
6
7
0a2dfae299ac0598b6c872f8e863e05c65a44b8a
bigcode/the-stack
train
462a9853486a41626e5eea68
train
function
def main(): """ The main() function. """ print("STARTING ENVIRONMENT TEST") seed = 0 max_timesteps = 4e6 if ARGS.DebugRack: on_rack = True else: on_rack = False if ARGS.DebugPath: draw_foot_path = True else: draw_foot_path = False if ARGS.Height...
def main():
""" The main() function. """ print("STARTING ENVIRONMENT TEST") seed = 0 max_timesteps = 4e6 if ARGS.DebugRack: on_rack = True else: on_rack = False if ARGS.DebugPath: draw_foot_path = True else: draw_foot_path = False if ARGS.HeightField: ...
.pyplot as plt import copy import sys import time import os import argparse sys.path.append('../') from gym_env import GymEnv from gui_param_control import GuiParamControl from kinematics import Kinematics from bezier_gait import BezierGait from env_randomizer import EnvRandomizer # ARGUMENTS parser = argparse.Argum...
256
256
969
3
253
reubenstr/zuko
quad_ws/src/quad_simulation/quad_simulation/src/env_tester.py
Python
main
main
52
179
52
52
54edfc53aef7ef5c1719ab91bf191a66eac7c582
bigcode/the-stack
train
50352e51ae3e611b949aed06
train
class
class NetWrapper(nn.Module): def __init__(self, cfg): super(NetWrapper, self).__init__() self.model_name = cfg.MODEL.NAME model_list = { "resnet50": ResNet50Protein, "resnet34_maxavg": ResNet34MaxAvgProtein, "resnet34_maxavg_no_dropout": ResNet34MaxAvgNoDr...
class NetWrapper(nn.Module):
def __init__(self, cfg): super(NetWrapper, self).__init__() self.model_name = cfg.MODEL.NAME model_list = { "resnet50": ResNet50Protein, "resnet34_maxavg": ResNet34MaxAvgProtein, "resnet34_maxavg_no_dropout": ResNet34MaxAvgNoDropout, "resnet34_...
# Copyright (c) xiaoxuan : https://github.com/shawnau/kaggle-HPA # modified by sailfish009 from torch import nn from .base import * class NetWrapper(nn.Module):
46
120
401
6
40
sailfish009/mydl
custom/protein/network.py
Python
NetWrapper
NetWrapper
8
46
8
8
2e292234c787d594d5c96a3086293f9fea77bacd
bigcode/the-stack
train
d79fcc63169074ba28c044d3
train
class
class TeamRegister(forms.ModelForm): team_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team name'}), max_length=50, required=True, help_text="Enter team name") college_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Colle...
class TeamRegister(forms.ModelForm):
team_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team name'}), max_length=50, required=True, help_text="Enter team name") college_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'College name', 'readonly':'readonly'}), ma...
from django import forms; from django.contrib.auth.models import User from django.core.exceptions import ValidationError from django.db import models from django.forms import fields from teams.models.team import Team from bootstrap_modal_forms.forms import BSModalModelForm from django.shortcuts import get_object_or_404...
68
68
227
7
60
JasbirCodeSpace/CTF
teams/forms/team.py
Python
TeamRegister
TeamRegister
10
28
10
10
372acc7dde8753edc322a1e415a5a0a866362b4b
bigcode/the-stack
train
60612c490ba712715d45bf94
train
class
class TeamJoin(forms.Form): team_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team name'}), max_length=50, required=True, help_text="Enter team name") password = forms.CharField(widget=forms.PasswordInput(attrs={'class':'form-control', 'placeholder':'Team password'...
class TeamJoin(forms.Form):
team_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team name'}), max_length=50, required=True, help_text="Enter team name") password = forms.CharField(widget=forms.PasswordInput(attrs={'class':'form-control', 'placeholder':'Team password'}), max_length=50, required=...
['team_name'] if Team.objects.filter(team_name = team_name).exists(): raise forms.ValidationError("Team with this name already exist") return team_name def clean(self): cleaned_data = super(TeamRegister, self).clean() return cleaned_data class TeamJoin(forms.For...
64
64
188
6
57
JasbirCodeSpace/CTF
teams/forms/team.py
Python
TeamJoin
TeamJoin
30
48
30
30
c10910ffbc3fe61b1697cbd1b786dd4f607ddb78
bigcode/the-stack
train
0cab3ce94d88728256e3d4e7
train
class
class TeamCaptainForm(forms.Form): team_captain = forms.ModelChoiceField(queryset=User.objects.all(),widget=forms.Select(attrs={'class':'form-control'}),empty_label=None) def __init__(self, *args, **kwargs): team_id = kwargs.pop('team_id', None) super(TeamCaptainForm, self).__init__(*args, ...
class TeamCaptainForm(forms.Form):
team_captain = forms.ModelChoiceField(queryset=User.objects.all(),widget=forms.Select(attrs={'class':'form-control'}),empty_label=None) def __init__(self, *args, **kwargs): team_id = kwargs.pop('team_id', None) super(TeamCaptainForm, self).__init__(*args, **kwargs) if team_id: ...
): # team_name = self.cleaned_data['team_name'] # print(self) # if Team.objects.filter(team_name = team_name).exists(): # raise forms.ValidationError("Team with this name already exist") # return team_name class TeamCaptainForm(forms.Form):
64
64
141
7
56
JasbirCodeSpace/CTF
teams/forms/team.py
Python
TeamCaptainForm
TeamCaptainForm
66
76
66
66
9b8b87c0e94fbe1a572b36c153f46654be10e1d1
bigcode/the-stack
train
d7e35b0e9461227d9a2a63a7
train
class
class TeamUpdateForm(forms.ModelForm): team_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team name'}), max_length=50, required=True, help_text="Enter team name") password = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team pa...
class TeamUpdateForm(forms.ModelForm):
team_name = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team name'}), max_length=50, required=True, help_text="Enter team name") password = forms.CharField(widget=forms.TextInput(attrs={'class':'form-control', 'placeholder':'Team password'}), max_length=50, required=True...
_name, password = password) if not team: raise forms.ValidationError("Invalid team name or password") if team.first().users.all().count()>=5: raise forms.ValidationError("Maximum 5 members allowed per team.") return cleaned_data class TeamUpdateForm(forms.ModelForm):...
64
64
106
8
55
JasbirCodeSpace/CTF
teams/forms/team.py
Python
TeamUpdateForm
TeamUpdateForm
51
57
51
51
6381402b6145ebc7a0ac07a3aa34dc962a93617d
bigcode/the-stack
train
05bf9c4a3b79dc6880411094
train
class
class NoProgram(object): def toXML(self, writer, ttFont): pass def getBytecode(self): return ''
class NoProgram(object):
def toXML(self, writer, ttFont): pass def getBytecode(self): return ''
].box if lbox is not None: box = (min(box[0], lbox[0]), min(box[1], lbox[1]), max(box[2], lbox[2]), max(box[3], lbox[3])) return box class NoProgram(object):
64
64
29
5
58
roboDocs/RoboChrome
RoboChrome.roboFontExt/lib/colorfont/__init__.py
Python
NoProgram
NoProgram
898
903
898
898
fb2c4a10f240ceef78e168e00873fa97f739c05a
bigcode/the-stack
train
a55d8e74492ef333b8e320a4
train
class
class ColorFont(object): def __init__(self, rfont=None): """Initialize a ColorFont and read color data from a RFont. rfont: The RFont object to load the color data from""" self.libkey = "com.fontfont.colorfont" # default values self._auto_layer_regex_default = r"\.alt[0-...
class ColorFont(object):
def __init__(self, rfont=None): """Initialize a ColorFont and read color data from a RFont. rfont: The RFont object to load the color data from""" self.libkey = "com.fontfont.colorfont" # default values self._auto_layer_regex_default = r"\.alt[0-9]{3}$" self._bit...
_, Color from fontTools.ttLib.tables.C_O_L_R_ import table_C_O_L_R_, LayerRecord from fontTools.ttLib.tables._s_b_i_x import table__s_b_i_x from fontTools.ttLib.tables.sbixStrike import Strike from fontTools.ttLib.tables.sbixGlyph import Glyph as sbixGlyph from fontTools.ttLib.tables.S_V_G_ import table_S_V_G_ import ...
256
256
6,081
5
250
roboDocs/RoboChrome
RoboChrome.roboFontExt/lib/colorfont/__init__.py
Python
ColorFont
ColorFont
38
670
38
38
a55cc8b6f3f0e1c7619a960e8830aca68830c5ad
bigcode/the-stack
train
4c93a07f0ffe56fdc9f08a91
train
function
def test(): # make PDF for color glyph _font = ColorFont(CurrentFont()) _font.read_from_rfont() # _font._export_sbix(r"/Users/jenskutilek/Documents/Color Fonts MS/Dingbats2SamplerOT.ttf", 0, [20, 40, 72, 96, 128, 160, 256, 512], "png") # _font.rasterize(0, [16]) # _font.export_png("six", "/Users...
def test(): # make PDF for color glyph
_font = ColorFont(CurrentFont()) _font.read_from_rfont() # _font._export_sbix(r"/Users/jenskutilek/Documents/Color Fonts MS/Dingbats2SamplerOT.ttf", 0, [20, 40, 72, 96, 128, 160, 256, 512], "png") # _font.rasterize(0, [16]) # _font.export_png("six", "/Users/jenskutilek/Desktop/six.png", 0, 1000) ...
(box[2], lbox[2]), max(box[3], lbox[3])) return box class NoProgram(object): def toXML(self, writer, ttFont): pass def getBytecode(self): return '' def test(): # make PDF for color glyph
63
64
184
11
52
roboDocs/RoboChrome
RoboChrome.roboFontExt/lib/colorfont/__init__.py
Python
test
test
906
919
906
907
a9d806f09f250d5a25daa4ca441c043b1d0f8bfd
bigcode/the-stack
train
82a3d8ea104c3566fbc82b24
train
class
class ColorGlyph(object): def __init__(self, parent, basename=""): """Each ColorGlyph consists of a base glyph and some layer glyphs which are assigned to colors via palette indices. parent: the ColorFont instance basename: name of the base glyph""" self.font = pare...
class ColorGlyph(object):
def __init__(self, parent, basename=""): """Each ColorGlyph consists of a base glyph and some layer glyphs which are assigned to colors via palette indices. parent: the ColorFont instance basename: name of the base glyph""" self.font = parent self.basename =...
_regex) regex = compile(layer_regex) # print("Looking for layer glyphs with regex", layer_regex) has_layers = False for layername in self.rfont.glyphOrder: if regex.search(layername): # print(" found") if not basegl...
256
256
2,182
5
251
roboDocs/RoboChrome
RoboChrome.roboFontExt/lib/colorfont/__init__.py
Python
ColorGlyph
ColorGlyph
673
895
673
673
6244e7c3d6ea33fe390c5cb1b71bab77bc774746
bigcode/the-stack
train
cca33175fd14cb04ac6862c1
train
function
def select_py( condition, pairs_path, output, output_rest, send_comments_to, chrom_subset, startup_code, type_cast, **kwargs ): instream = (_fileio.auto_open(pairs_path, mode='r', nproc=kwargs.get('nproc_in'), command=kwargs.get('...
def select_py( condition, pairs_path, output, output_rest, send_comments_to, chrom_subset, startup_code, type_cast, **kwargs ):
instream = (_fileio.auto_open(pairs_path, mode='r', nproc=kwargs.get('nproc_in'), command=kwargs.get('cmd_in', None)) if pairs_path else sys.stdin) outstream = (_fileio.auto_open(output, mode='w', ...
e.g. regex_match(chrom1, 'chr\d') \b Examples: pairtools select '(pair_type=="UU") or (pair_type=="UR") or (pair_type=="RU")' pairtools select 'chrom1==chrom2' pairtools select 'COLS[1]==COLS[3]' pairtools select '(chrom1==chrom2) and (abs(pos1 - pos2) < 1e6)' pairtools select '(chrom1=...
233
234
783
36
197
agalitsyna/pairtools
pairtools/pairtools_select.py
Python
select_py
select_py
123
217
123
128
83454899db0c0a0016e741eaf070e82854992a4a
bigcode/the-stack
train
05293529dfc9b0758c6bd87f
train
function
@cli.command() @click.argument( 'condition', type=str ) @click.argument( 'pairs_path', type=str, required=False) @click.option( '-o', "--output", type=str, default="", help='output file.' ' If the path ends with .gz or .lz4, the output is pbgzip-/lz4c-compressed.' ...
@cli.command() @click.argument( 'condition', type=str ) @click.argument( 'pairs_path', type=str, required=False) @click.option( '-o', "--output", type=str, default="", help='output file.' ' If the path ends with .gz or .lz4, the output is pbgzip-/lz4c-compressed.' ...
'''Select pairs according to some condition. CONDITION : A Python expression; if it returns True, select the read pair. Any column declared in the #columns line of the pairs header can be accessed by its name. If the header lacks the #columns line, the columns are assumed to follow the .pairs/.pai...
@cli.command() @click.argument( 'condition', type=str ) @click.argument( 'pairs_path', type=str, required=False) @click.option( '-o', "--output", type=str, default="", help='output file.' ' If the path ends with .gz or .lz4, the output is pbgzip-/lz4c-compressed.' ...
494
256
989
494
0
agalitsyna/pairtools
pairtools/pairtools_select.py
Python
select
select
9
121
9
79
16f775d6916eaa1ac4f2b1bbb7b89f0e06fdd900
bigcode/the-stack
train
e1f782ea57d1ed632a10ca78
train
class
class ProductStructureElementModel: def __init__(self, data): self.children = [] self.type = None self.elementId = data['elementId'] self.type = data['type'] self.name = data['name'] self.additionalData = data['additionalData'] for element in data['c...
class ProductStructureElementModel:
def __init__(self, data): self.children = [] self.type = None self.elementId = data['elementId'] self.type = data['type'] self.name = data['name'] self.additionalData = data['additionalData'] for element in data['children']: self.children...
from typing import List from enum import Enum class ProductStructureTypeEnum(Enum): CHARACTERISTIC = "CHARACTERISTIC", FEATURE = "FEATURE", CLUSTER = "CLUSTER", VARIABLE = "VARIABLE", class ProductStructureElementModel:
52
64
191
6
46
13hannes11/bachelor_thesis_m.recommend
src/model/product_structure_model.py
Python
ProductStructureElementModel
ProductStructureElementModel
11
35
11
11
a276d2bf0971efe582f65cc5566cb9c8fe152138
bigcode/the-stack
train
d20d17153ed2bc369b258e94
train
class
class ProductStructureTypeEnum(Enum): CHARACTERISTIC = "CHARACTERISTIC", FEATURE = "FEATURE", CLUSTER = "CLUSTER", VARIABLE = "VARIABLE",
class ProductStructureTypeEnum(Enum):
CHARACTERISTIC = "CHARACTERISTIC", FEATURE = "FEATURE", CLUSTER = "CLUSTER", VARIABLE = "VARIABLE",
from typing import List from enum import Enum class ProductStructureTypeEnum(Enum):
17
64
36
7
9
13hannes11/bachelor_thesis_m.recommend
src/model/product_structure_model.py
Python
ProductStructureTypeEnum
ProductStructureTypeEnum
4
8
4
4
cfb705823de9dda0888a3a4aef5124bacdf3a25d
bigcode/the-stack
train
eb409ddc21e8e45ca62de916
train
class
class ProductStructureModel: list_of_features = [] list_of_characteristics = [] def __init__(self, data): self.productStructure : List[ProductStructureElementModel] = [] for element in data['ProductStructure']: child = ProductStructureElementModel(element) self...
class ProductStructureModel:
list_of_features = [] list_of_characteristics = [] def __init__(self, data): self.productStructure : List[ProductStructureElementModel] = [] for element in data['ProductStructure']: child = ProductStructureElementModel(element) self.productStructure.append(child...
if ProductStructureTypeEnum[self.type] == type: tmp_list.append(self) return tmp_list def get_children_characteristics(self): tmp_list = self.get_list_of_all(ProductStructureTypeEnum.CHARACTERISTIC) if self in tmp_list: tmp_list.remove(self) r...
72
72
243
5
66
13hannes11/bachelor_thesis_m.recommend
src/model/product_structure_model.py
Python
ProductStructureModel
ProductStructureModel
38
67
38
38
ea3ed456081cb0b3e0c2af28e5c72662cc606f18
bigcode/the-stack
train
86a0ee45cd31584f24ed5273
train
function
def undo_image_transformation(img, w, h): """ Takes a transformed image tensor and returns a numpy ndarray that is untransformed. Arguments w and h are the original height and width of the image. """ img_numpy = img.permute(1, 2, 0).cpu().numpy() img_numpy = img_numpy[:, :, (2, 1, 0)] # To BRG ...
def undo_image_transformation(img, w, h):
""" Takes a transformed image tensor and returns a numpy ndarray that is untransformed. Arguments w and h are the original height and width of the image. """ img_numpy = img.permute(1, 2, 0).cpu().numpy() img_numpy = img_numpy[:, :, (2, 1, 0)] # To BRG if cfg.backbone.transform.normalize: ...
align_corners=False) mask = mask.gt(0.5).float() full_masks[jdx, y1:y2, x1:x2] = mask masks = full_masks return classes, scores, boxes, masks def undo_image_transformation(img, w, h):
63
64
212
11
51
chenjianqu/is_slam
src/is_slam/yolact/layers/output_utils.py
Python
undo_image_transformation
undo_image_transformation
131
147
131
131
f67830bdb5070b110923b19ba98c7bda4efd9efd
bigcode/the-stack
train
ccb2343cf77e743bbc3d0e3b
train
function
def postprocess(det_output, w, h, batch_idx=0, interpolation_mode='bilinear', visualize_lincomb=False, crop_masks=True, score_threshold=0): """ Postprocesses the output of Yolact on testing mode into a format that makes sense, accounting for all the possible configuration settings. Args...
def postprocess(det_output, w, h, batch_idx=0, interpolation_mode='bilinear', visualize_lincomb=False, crop_masks=True, score_threshold=0):
""" Postprocesses the output of Yolact on testing mode into a format that makes sense, accounting for all the possible configuration settings. Args: - det_output: The lost of dicts that Detect outputs. - w: The real with of the image. - h: The real height of the image. -...
""" Contains functions used to sanitize and prepare the output of Yolact. """ import torch import torch.nn as nn import torch.nn.functional as F import numpy as np import cv2 from data import cfg, mask_type, MEANS, STD, activation_func from utils.augmentations import Resize from utils import timer from .box_utils im...
120
256
1,021
36
83
chenjianqu/is_slam
src/is_slam/yolact/layers/output_utils.py
Python
postprocess
postprocess
18
125
18
19
732ff47d9bad093a8beb1818c1621121ef1beb31
bigcode/the-stack
train
82edd2eb03f934d897a6d5ef
train
function
def display_lincomb(proto_data, masks): out_masks = torch.matmul(proto_data, masks.t()) # out_masks = cfg.mask_proto_mask_activation(out_masks) for kdx in range(1): jdx = kdx + 0 import matplotlib.pyplot as plt coeffs = masks[jdx, :].cpu().numpy() idx = np.argsort(-np.abs(co...
def display_lincomb(proto_data, masks):
out_masks = torch.matmul(proto_data, masks.t()) # out_masks = cfg.mask_proto_mask_activation(out_masks) for kdx in range(1): jdx = kdx + 0 import matplotlib.pyplot as plt coeffs = masks[jdx, :].cpu().numpy() idx = np.argsort(-np.abs(coeffs)) # plt.bar(list(range(idx....
0)] # To BRG if cfg.backbone.transform.normalize: img_numpy = (img_numpy * np.array(STD) + np.array(MEANS)) / 255.0 elif cfg.backbone.transform.subtract_means: img_numpy = (img_numpy / 255.0 + np.array(MEANS) / 255.0).astype(np.float32) img_numpy = img_numpy[:, :, (2, 1, 0)] # To R...
139
139
464
9
130
chenjianqu/is_slam
src/is_slam/yolact/layers/output_utils.py
Python
display_lincomb
display_lincomb
150
191
150
150
a323455ee5e09c903f4d060a1258fb0f57cbfde8
bigcode/the-stack
train
62daabe397a39400520735d9
train
function
def test_xy_to_gpd(): pts_df = pts[[sites_col_name, 'geometry']].copy() pts_df['x'] = pts_df.geometry.x pts_df['y'] = pts_df.geometry.y pts_df.drop('geometry', axis=1, inplace=True) pts3 = vector.xy_to_gpd(sites_col_name, 'x', 'y', pts_df) assert (len(pts3) == 2) & isinstance(pts3, gpd.GeoData...
def test_xy_to_gpd():
pts_df = pts[[sites_col_name, 'geometry']].copy() pts_df['x'] = pts_df.geometry.x pts_df['y'] = pts_df.geometry.y pts_df.drop('geometry', axis=1, inplace=True) pts3 = vector.xy_to_gpd(sites_col_name, 'x', 'y', pts_df) assert (len(pts3) == 2) & isinstance(pts3, gpd.GeoDataFrame)
poly2 = vector.pts_poly_join(sites_shp_path, catch_shp_path, poly_col_name) assert (len(pts2) == 2) & (len(poly2) == 1) & isinstance(pts2, gpd.GeoDataFrame) def test_xy_to_gpd():
64
64
108
7
57
claruspeter/gistools
gistools/tests/test_vector.py
Python
test_xy_to_gpd
test_xy_to_gpd
51
59
51
51
a9e98fbd98adfbaff62a051cc71a1d7ff3c64c7e
bigcode/the-stack
train
a87ee9318641525f8aaa4b54
train
function
def test_pts_poly_join(): pts2, poly2 = vector.pts_poly_join(sites_shp_path, catch_shp_path, poly_col_name) assert (len(pts2) == 2) & (len(poly2) == 1) & isinstance(pts2, gpd.GeoDataFrame)
def test_pts_poly_join():
pts2, poly2 = vector.pts_poly_join(sites_shp_path, catch_shp_path, poly_col_name) assert (len(pts2) == 2) & (len(poly2) == 1) & isinstance(pts2, gpd.GeoDataFrame)
roid def test_sel_sites_poly(): pts1 = vector.sel_sites_poly(sites_shp_path, rec_catch_shp_path, buffer_dis=10) assert (len(pts1) == 2) & isinstance(pts1, gpd.GeoDataFrame) def test_pts_poly_join():
64
64
67
6
58
claruspeter/gistools
gistools/tests/test_vector.py
Python
test_pts_poly_join
test_pts_poly_join
46
49
46
46
9c722e43f48ec135ecf31c7c398652dc483c859d
bigcode/the-stack
train
ad93328c752ca91db53cdbb0
train
function
def test_sel_sites_poly(): pts1 = vector.sel_sites_poly(sites_shp_path, rec_catch_shp_path, buffer_dis=10) assert (len(pts1) == 2) & isinstance(pts1, gpd.GeoDataFrame)
def test_sel_sites_poly():
pts1 = vector.sel_sites_poly(sites_shp_path, rec_catch_shp_path, buffer_dis=10) assert (len(pts1) == 2) & isinstance(pts1, gpd.GeoDataFrame)
ites_shp_path) pts['geometry'] = pts.geometry.simplify(1) rec_streams1 = util.load_geo_data(rec_streams_shp_path) rec_pts1 = rec_streams1.copy() rec_pts1['geometry'] = rec_streams1.centroid def test_sel_sites_poly():
64
64
56
6
57
claruspeter/gistools
gistools/tests/test_vector.py
Python
test_sel_sites_poly
test_sel_sites_poly
41
44
41
41
5819f0b443f5d0f537b8c9835f776586f6e60d8f
bigcode/the-stack
train
9494139a7d5d6402bb923ddb
train
function
def test_kd_nearest(): line2 = vector.kd_nearest(pts, rec_pts1, line_site_col) assert (len(line2) == 2) & isinstance(line2, gpd.GeoDataFrame) & line2[line_site_col].notnull().all()
def test_kd_nearest():
line2 = vector.kd_nearest(pts, rec_pts1, line_site_col) assert (len(line2) == 2) & isinstance(line2, gpd.GeoDataFrame) & line2[line_site_col].notnull().all()
= vector.closest_line_to_pts(sites_shp_path, rec_streams_shp_path, line_site_col) assert (len(line1) == 2) & isinstance(line1, gpd.GeoDataFrame) & line1[line_site_col].notnull().all() def test_kd_nearest():
64
64
61
7
57
claruspeter/gistools
gistools/tests/test_vector.py
Python
test_kd_nearest
test_kd_nearest
67
70
67
67
25be957a9149b05309e3b007b4d0e8b2a87056bf
bigcode/the-stack
train
fbc8e771a09a2b69f656de12
train
function
def test_closest_line_to_pts(): line1 = vector.closest_line_to_pts(sites_shp_path, rec_streams_shp_path, line_site_col) assert (len(line1) == 2) & isinstance(line1, gpd.GeoDataFrame) & line1[line_site_col].notnull().all()
def test_closest_line_to_pts():
line1 = vector.closest_line_to_pts(sites_shp_path, rec_streams_shp_path, line_site_col) assert (len(line1) == 2) & isinstance(line1, gpd.GeoDataFrame) & line1[line_site_col].notnull().all()
geometry', axis=1, inplace=True) pts3 = vector.xy_to_gpd(sites_col_name, 'x', 'y', pts_df) assert (len(pts3) == 2) & isinstance(pts3, gpd.GeoDataFrame) def test_closest_line_to_pts():
64
64
68
8
56
claruspeter/gistools
gistools/tests/test_vector.py
Python
test_closest_line_to_pts
test_closest_line_to_pts
61
64
61
61
4196432f527cd241f4f725d51c8331b6f17d94d0
bigcode/the-stack
train
32e5a13737ce8cbedf3c1c83
train
class
class GradeSheetError(Exception): """A general-purpose exception thrown by the Assignment class. """ pass
class GradeSheetError(Exception):
"""A general-purpose exception thrown by the Assignment class. """ pass
import git import glob import logging import os from .config import AssignmentConfig logger = logging.getLogger(__name__) class GradeSheetError(Exception):
33
64
23
6
27
redkyn/grader
redkyn-grader/grader/models/gradesheet.py
Python
GradeSheetError
GradeSheetError
11
14
11
11
b24af6fe57fb8ffc134cf74c69339c378c4a764d
bigcode/the-stack
train
1115f670c0593aafcd8e4bf8
train
class
class GradeSheet(object): """A gradesheet for an assignment. Gradesheets are git repositories. They have the following attributes... A configuration file Assignment-specific configuration information (refer to :class:`AssignmentConfig`) A Dockerfile Used to build a docker image...
class GradeSheet(object):
"""A gradesheet for an assignment. Gradesheets are git repositories. They have the following attributes... A configuration file Assignment-specific configuration information (refer to :class:`AssignmentConfig`) A Dockerfile Used to build a docker image. That image will be used ...
import git import glob import logging import os from .config import AssignmentConfig logger = logging.getLogger(__name__) class GradeSheetError(Exception): """A general-purpose exception thrown by the Assignment class. """ pass class GradeSheet(object):
55
229
764
5
49
redkyn/grader
redkyn-grader/grader/models/gradesheet.py
Python
GradeSheet
GradeSheet
17
127
17
17
f63e08237271ca07d436829f07f5b45a736b20da
bigcode/the-stack
train
a217d9f19f944caff406293c
train
function
def P(num): num += 1 num = str(num) l = len(num) if l % 2: mir = num[:int(l/2)] + num[l//2::-1] else: mir = num[:int(l/2)] + num[l//2-1::-1] if int(mir) < int(num): if l % 2: return mir[:l//2] + str(int(mir[l//2])+1) + mir[l//2+1:] else: ...
def P(num):
num += 1 num = str(num) l = len(num) if l % 2: mir = num[:int(l/2)] + num[l//2::-1] else: mir = num[:int(l/2)] + num[l//2-1::-1] if int(mir) < int(num): if l % 2: return mir[:l//2] + str(int(mir[l//2])+1) + mir[l//2+1:] else: return mir[:...
: What is P( 7100 ) Thanks to ashashwat for suggesting this problem at /r/dailyprogrammer_ideas! (problem originally from here) If you have a problem that you think would be good for this subreddit, why not head over there and suggest it? """ def P(num):
64
64
157
4
60
DayGitH/Python-Challenges
DailyProgrammer/20120528B.py
Python
P
P
17
32
17
17
9a9861a717b5933e493a8eb68aaabb4ad1b428c2
bigcode/the-stack
train
8553198a2e552c4f3c7e05cd
train
function
def main(): print(808, P(808)) print(999, P(999)) print(2133, P(2133)) print(3 ** 39, P(3 ** 39)) print('') print(7**100) print(P(7**100))
def main():
print(808, P(808)) print(999, P(999)) print(2133, P(2133)) print(3 ** 39, P(3 ** 39)) print('') print(7**100) print(P(7**100))
str(int(mir[l//2])+1) + mir[l//2+1:] else: return mir[:l//2-1] + str(int(mir[l//2-1:l//2+1])+11) + mir[l//2+1:] return mir def main():
64
64
66
3
60
DayGitH/Python-Challenges
DailyProgrammer/20120528B.py
Python
main
main
34
42
34
34
a545c3184ce483023ad8508b1e22b52cfe8bd1a1
bigcode/the-stack
train
5d3def6581da615b02ebd4b8
train
class
class App(QtWidgets.QMainWindow, design.Ui_MainWindow): def __init__(self): super().__init__() self.setupUi(self) pg.setConfigOptions(antialias=True) self.graphicsView.plot() def update_graphics(self): self.graphicsView.clear() a1 = self.verticalSlider_1.value()...
class App(QtWidgets.QMainWindow, design.Ui_MainWindow):
def __init__(self): super().__init__() self.setupUi(self) pg.setConfigOptions(antialias=True) self.graphicsView.plot() def update_graphics(self): self.graphicsView.clear() a1 = self.verticalSlider_1.value() a2 = self.verticalSlider_2.value() a3 = ...
from PyQt5 import QtWidgets, QtCore from design import design import numpy as np import pyqtgraph as pg class App(QtWidgets.QMainWindow, design.Ui_MainWindow):
41
91
304
13
27
Egor-Iudin/fourier
main.py
Python
App
App
7
32
7
8
21f0c7a8a2bb5fde7e3bf8078c57d4ab84013aae
bigcode/the-stack
train
8cda3504d2dbb0e8356f4efb
train
class
@DATASETS.register_module() class CustomVideoDataset(Dataset): """Custom dataset for out video semantic segmentation. An example of file structure is as followed. .. code-block:: none ├── data │ ├── my_dataset │ │ ├── img_dir │ │ │ ├── train │ │ │ ...
@DATASETS.register_module() class CustomVideoDataset(Dataset):
"""Custom dataset for out video semantic segmentation. An example of file structure is as followed. .. code-block:: none ├── data │ ├── my_dataset │ │ ├── img_dir │ │ │ ├── train │ │ │ │ ├── xxx{img_suffix} │ │ │ │ ├── yyy{img_suf...
import os.path as osp import random from functools import reduce import numpy as np from terminaltables import AsciiTable from torch.utils.data import Dataset import mmcv from mmcv.utils import print_log from mmseg.core import eval_metrics from mmseg.utils import get_root_logger from .builder import DATASETS from .pi...
107
256
4,133
13
94
labdeeman7/TRDP_temporal_stability_semantic_segmentation
mmseg/datasets/custom_video.py
Python
CustomVideoDataset
CustomVideoDataset
18
487
18
19
5486a9c6c2672b0746db7101e63e3a3231c25be6
bigcode/the-stack
train
8eb2b74e11a05ff1fd1eac2f
train
function
def check_ltl(menv: msat_env, enc: LTLEncoder) -> (Iterable, msat_term, msat_term, msat_term): assert menv assert isinstance(menv, msat_env) assert enc assert isinstance(enc, LTLEncoder) real_type = msat_get_rational_type(menv) int_type = msat_g...
def check_ltl(menv: msat_env, enc: LTLEncoder) -> (Iterable, msat_term, msat_term, msat_term):
assert menv assert isinstance(menv, msat_env) assert enc assert isinstance(enc, LTLEncoder) real_type = msat_get_rational_type(menv) int_type = msat_get_integer_type(menv) bool_type = msat_get_bool_type(menv) delta, x_delta = decl_consts(menv, delta_name, real_type) v1, x_v1 = decl_...
_make_geq(menv: msat_env, arg0: msat_term, arg1: msat_term): return msat_make_leq(menv, arg1, arg0) def msat_make_gt(menv: msat_env, arg0: msat_term, arg1: msat_term): leq = msat_make_leq(menv, arg0, arg1) return msat_make_not(menv, leq) def msat_make_impl(menv: msat_env, arg0: msat_term, arg1: msat_ter...
253
253
846
33
220
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
check_ltl
check_ltl
60
131
60
61
6f1fd977642472a6dd4698fe07d68618b4053d6e
bigcode/the-stack
train
0a118b83c4098396796f6fc7
train
function
def diverging_symbs(menv: msat_env) -> frozenset: real_type = msat_get_rational_type(menv) delta = msat_declare_function(menv, delta_name, real_type) delta = msat_make_constant(menv, delta) return frozenset([delta])
def diverging_symbs(menv: msat_env) -> frozenset:
real_type = msat_get_rational_type(menv) delta = msat_declare_function(menv, delta_name, real_type) delta = msat_make_constant(menv, delta) return frozenset([delta])
_env, arg0: msat_term, arg1: msat_term): n_arg0 = msat_make_not(menv, arg0) return msat_make_or(menv, n_arg0, arg1) def diverging_symbs(menv: msat_env) -> frozenset:
64
64
67
17
47
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
diverging_symbs
diverging_symbs
53
57
53
53
52aee152609891824a5119dca9434b688ce1f7d3
bigcode/the-stack
train
1800561fcbf6d4cb0770bf77
train
function
def msat_make_minus(menv: msat_env, arg0: msat_term, arg1: msat_term): m_one = msat_make_number(menv, "-1") arg1 = msat_make_times(menv, arg1, m_one) return msat_make_plus(menv, arg0, arg1)
def msat_make_minus(menv: msat_env, arg0: msat_term, arg1: msat_term):
m_one = msat_make_number(menv, "-1") arg1 = msat_make_times(menv, arg1, m_one) return msat_make_plus(menv, arg0, arg1)
_s = msat_declare_function(menv, name_next(name), c_type) x_s = msat_make_constant(menv, x_s) return s, x_s def msat_make_minus(menv: msat_env, arg0: msat_term, arg1: msat_term):
64
64
72
26
37
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
msat_make_minus
msat_make_minus
28
31
28
28
c38225f1e9673b3cae169f25af1413608ccd44e7
bigcode/the-stack
train
8bc3cd7d089fd5af3106beae
train
function
def msat_make_gt(menv: msat_env, arg0: msat_term, arg1: msat_term): leq = msat_make_leq(menv, arg0, arg1) return msat_make_not(menv, leq)
def msat_make_gt(menv: msat_env, arg0: msat_term, arg1: msat_term):
leq = msat_make_leq(menv, arg0, arg1) return msat_make_not(menv, leq)
q(menv: msat_env, arg0: msat_term, arg1: msat_term): return msat_make_leq(menv, arg1, arg0) def msat_make_gt(menv: msat_env, arg0: msat_term, arg1: msat_term):
64
64
56
26
38
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
msat_make_gt
msat_make_gt
43
45
43
43
6ebfbc8ba8c3ffb3ba712af6009f476ff9bc91f6
bigcode/the-stack
train
1f706b461967f742d328b825
train
function
def decl_consts(menv: msat_env, name: str, c_type): assert not name.startswith("_"), name s = msat_declare_function(menv, name, c_type) s = msat_make_constant(menv, s) x_s = msat_declare_function(menv, name_next(name), c_type) x_s = msat_make_constant(menv, x_s) return s, x_s
def decl_consts(menv: msat_env, name: str, c_type):
assert not name.startswith("_"), name s = msat_declare_function(menv, name, c_type) s = msat_make_constant(menv, s) x_s = msat_declare_function(menv, name_next(name), c_type) x_s = msat_make_constant(menv, x_s) return s, x_s
import msat_make_number, msat_make_plus, msat_make_times from ltl.ltl import TermMap, LTLEncoder from utils import name_next num_procs = 19 delta_name = "delta" def decl_consts(menv: msat_env, name: str, c_type):
64
64
94
17
47
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
decl_consts
decl_consts
19
25
19
19
66e15d0e17f1d69d1c89ef9443ffced8e3b6c9aa
bigcode/the-stack
train
e3cffa2b22929c4756f1f6d9
train
function
def msat_make_geq(menv: msat_env, arg0: msat_term, arg1: msat_term): return msat_make_leq(menv, arg1, arg0)
def msat_make_geq(menv: msat_env, arg0: msat_term, arg1: msat_term):
return msat_make_leq(menv, arg1, arg0)
arg1: msat_term): geq = msat_make_geq(menv, arg0, arg1) return msat_make_not(menv, geq) def msat_make_geq(menv: msat_env, arg0: msat_term, arg1: msat_term):
64
64
43
27
37
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
msat_make_geq
msat_make_geq
39
40
39
39
b508b807d803a8843eb678982d7c937a8b671e86
bigcode/the-stack
train
baa4c14d1f895b9525accc72
train
class
class Module: """Synchronous component""" def __init__(self, name: str, menv: msat_env, enc: LTLEncoder, *args, **kwargs): self.name = name self.menv = menv self.enc = enc self.symb2next = {} true = msat_make_true(menv) self.init = true se...
class Module:
"""Synchronous component""" def __init__(self, name: str, menv: msat_env, enc: LTLEncoder, *args, **kwargs): self.name = name self.menv = menv self.enc = enc self.symb2next = {} true = msat_make_true(menv) self.init = true self.trans = tru...
utter, p.evt_stutter) trans = msat_make_and(menv, trans, msat_make_impl(menv, d_eq_0, msat_make_not(menv, all_stutter))) # (G F v1 = 1) -> (G F p0.CS7) ltl = msat_make_impl( menv, enc.make_G(enc.make_F(msat_make_equal(menv, ...
131
131
437
3
127
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
Module
Module
134
176
134
134
a509f6a2989ad356ef16e53ba4490ca09d27fa49
bigcode/the-stack
train
11719f56d91e35f0c919dc74
train
class
class P(Module): """Process module""" def __init__(self, name: str, menv: msat_env, enc: LTLEncoder, pid, v1, x_v1, v2, x_v2, T, delta): super().__init__(name, menv, enc) # int_type = msat_get_integer_type(menv) real_type = msat_get_rational_type(menv) bool_type...
class P(Module):
"""Process module""" def __init__(self, name: str, menv: msat_env, enc: LTLEncoder, pid, v1, x_v1, v2, x_v2, T, delta): super().__init__(name, menv, enc) # int_type = msat_get_integer_type(menv) real_type = msat_get_rational_type(menv) bool_type = msat_get_bool_...
c_name = "{}{}".format(v_name, idx) b_vars.append(tuple(self._symb(c_name, bool_type))) vals = [] x_vals = [] for enum_val in range(enum_size): bit_val = format(enum_val, '0{}b'.format(num_bits)) assert len(bit_val) == num_bits assert all(c in {'0...
256
256
3,180
4
251
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
P
P
179
410
179
179
a7fb8353e4ac7f6966980487cc8c3974b3f96216
bigcode/the-stack
train
8d8cad0e48c2b80f3fa86384
train
function
def msat_make_impl(menv: msat_env, arg0: msat_term, arg1: msat_term): n_arg0 = msat_make_not(menv, arg0) return msat_make_or(menv, n_arg0, arg1)
def msat_make_impl(menv: msat_env, arg0: msat_term, arg1: msat_term):
n_arg0 = msat_make_not(menv, arg0) return msat_make_or(menv, n_arg0, arg1)
, arg1: msat_term): leq = msat_make_leq(menv, arg0, arg1) return msat_make_not(menv, leq) def msat_make_impl(menv: msat_env, arg0: msat_term, arg1: msat_term):
64
64
57
26
38
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
msat_make_impl
msat_make_impl
48
50
48
48
6517b33753958b928ace2c9a49a92b8749eb6875
bigcode/the-stack
train
9c972403306a028f712f6b55
train
function
def msat_make_lt(menv: msat_env, arg0: msat_term, arg1: msat_term): geq = msat_make_geq(menv, arg0, arg1) return msat_make_not(menv, geq)
def msat_make_lt(menv: msat_env, arg0: msat_term, arg1: msat_term):
geq = msat_make_geq(menv, arg0, arg1) return msat_make_not(menv, geq)
(menv, "-1") arg1 = msat_make_times(menv, arg1, m_one) return msat_make_plus(menv, arg0, arg1) def msat_make_lt(menv: msat_env, arg0: msat_term, arg1: msat_term):
64
64
56
26
38
EnricoMagnago/F3
benchmarks/ltl_timed_automata/lynch/f3/lynch_protocol_0019.py
Python
msat_make_lt
msat_make_lt
34
36
34
34
f682ff02b643620fb47f1bac9d203fab49c9977a
bigcode/the-stack
train
56e952ba835fe5202a4d8127
train
class
class CreateFileReport(CreateReport): filename = None def __init__(self, filename, *args, **kwargs): super(CreateFileReport, self).__init__(*args, **kwargs) self.filename = filename or self.filename if not self.filename: raise NotConfigured("You must define a template output...
class CreateFileReport(CreateReport):
filename = None def __init__(self, filename, *args, **kwargs): super(CreateFileReport, self).__init__(*args, **kwargs) self.filename = filename or self.filename if not self.filename: raise NotConfigured("You must define a template output file.") @classmethod def fro...
from __future__ import absolute_import from spidermon.exceptions import NotConfigured from . import CreateReport class CreateFileReport(CreateReport):
31
64
159
7
23
heylouiz/spidermon
spidermon/contrib/actions/reports/files.py
Python
CreateFileReport
CreateFileReport
7
26
7
7
25b031bafdcb55b948f796791451713fc8ace8d6
bigcode/the-stack
train
c136ba040afacc00a40082ae
train
class
class BaseMotorController(MotController): """Base motor controller features for all CTRE CAN motor controllers.""" ControlMode = ControlMode FeedbackDevice = FeedbackDevice LimitSwitchNormal = LimitSwitchNormal LimitSwitchSource = LimitSwitchSource NeutralMode = NeutralMode ParamEnum = ...
class BaseMotorController(MotController):
"""Base motor controller features for all CTRE CAN motor controllers.""" ControlMode = ControlMode FeedbackDevice = FeedbackDevice LimitSwitchNormal = LimitSwitchNormal LimitSwitchSource = LimitSwitchSource NeutralMode = NeutralMode ParamEnum = ParamEnum RemoteLimitSwitchSource = Re...
FOR A # PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL # CROSS THE ROAD ELECTRONICS BE LIABLE FOR ANY INCIDENTAL, SPECIAL,  # INDIRECT OR CONSEQUENTIAL DAMAGES, LOST PROFITS OR LOST DATA, COST OF # PROCUREMENT OF SUBSTITUTE GOODS, TECHNOLOGY OR SERVICES, ANY CLAIMS # BY THIRD PARTIES (INCLUDING BUT ...
255
256
1,816
8
247
stmobo/robotpy-ctre
ctre/basemotorcontroller.py
Python
BaseMotorController
BaseMotorController
48
261
48
48
0502939f74c7082c5de991ce7e5a8fd0ec2eabfd
bigcode/the-stack
train
fc7e70b70845645ab567e8e3
train
function
def random_colors(N, bright=True): """ 生成随机RGB颜色 :param N: 颜色数量 :param bright: :return: """ brightness = 1.0 if bright else 0.7 hsv = [(i / N, 1, brightness) for i in range(N)] colors = list(map(lambda c: colorsys.hsv_to_rgb(*c), hsv)) random.shuffle(colors) return colors
def random_colors(N, bright=True):
""" 生成随机RGB颜色 :param N: 颜色数量 :param bright: :return: """ brightness = 1.0 if bright else 0.7 hsv = [(i / N, 1, brightness) for i in range(N)] colors = list(map(lambda c: colorsys.hsv_to_rgb(*c), hsv)) random.shuffle(colors) return colors
utf-8 -*- """ Created on 2019/4/14 下午7:55 @author: mick.yi 可视化工具类 """ import matplotlib.pyplot as plt from matplotlib import patches import colorsys import random import numpy as np def random_colors(N, bright=True):
64
64
99
8
55
embracesource-cv-com/keras-east
east/utils/visualize.py
Python
random_colors
random_colors
17
28
17
17
2abdbbfed5fd00346897903990e2e75798776dea
bigcode/the-stack
train
d14ae52dec309ceb3018b135
train
function
def display_polygons(image, polygons, scores=None, figsize=(16, 16), ax=None, colors=None): """ 可视化多边形 :param image: [H,W,3] :param polygons: [n,4,(x,y)] :param scores: :param figsize: :param ax: :param colors: :return: """ auto_show = False if ax is None: _, ax =...
def display_polygons(image, polygons, scores=None, figsize=(16, 16), ax=None, colors=None):
""" 可视化多边形 :param image: [H,W,3] :param polygons: [n,4,(x,y)] :param scores: :param figsize: :param ax: :param colors: :return: """ auto_show = False if ax is None: _, ax = plt.subplots(1, figsize=figsize) auto_show = True if colors is None: co...
brightness = 1.0 if bright else 0.7 hsv = [(i / N, 1, brightness) for i in range(N)] colors = list(map(lambda c: colorsys.hsv_to_rgb(*c), hsv)) random.shuffle(colors) return colors def display_polygons(image, polygons, scores=None, figsize=(16, 16), ax=None, colors=None):
86
86
287
24
61
embracesource-cv-com/keras-east
east/utils/visualize.py
Python
display_polygons
display_polygons
31
64
31
31
9c9fa0d3a7a2f6a0d7f26446847fd5b5b9f3499c
bigcode/the-stack
train
be5983a8c15c1b60789a4028
train
class
class ListProtectedInstancesProjectTagsRequest: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ ...
class ListProtectedInstancesProjectTagsRequest:
""" Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { ...
# coding: utf-8 import re import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class ListProtectedInstancesProjectTagsRequest:
36
134
449
8
27
huaweicloud/huaweicloud-sdk-python-v3
huaweicloud-sdk-sdrs/huaweicloudsdksdrs/v1/model/list_protected_instances_project_tags_request.py
Python
ListProtectedInstancesProjectTagsRequest
ListProtectedInstancesProjectTagsRequest
11
85
11
13
54596e9d0b6fbadcf4e37a6c56d1a4a2da11ee9a
bigcode/the-stack
train
b01ecc8e6977521235bdd1a4
train
class
class DataCrawler(): def __init__( self, db: DataBase ): self.db = db self.data = self.load_data() self.t = 0 def load_data( self, ) -> None: """Load local data set. """ upbit_csv = os.path.abspath(os.path.join( os.pa...
class DataCrawler():
def __init__( self, db: DataBase ): self.db = db self.data = self.load_data() self.t = 0 def load_data( self, ) -> None: """Load local data set. """ upbit_csv = os.path.abspath(os.path.join( os.path.dirname(__file__),...
""" Cinyoung Hur, cinyoung.hur@gmail.com James Park, laplacian.k@gmail.com seoulai.com 2018 """ import pandas as pd import os from seoulai_gym.envs.market.database import DataBase class DataCrawler():
59
95
317
4
54
seoulai/laplacian
laplacian/envs/crawler.py
Python
DataCrawler
DataCrawler
13
65
13
13
630f472d4fdef8559fd88f586330f545db595587
bigcode/the-stack
train
cfc9495c71cf726f404d41a6
train
class
class DeviceEndpoint(RestEndpoint): """REST end-point for querying and managing devices""" ENDPOINT_PATH = "/api/devices/{device_id}" async def get(self, device_id) -> web.Response: device = self._ledfx.devices.get(device_id) if device is None: response = {"not found": 404} ...
class DeviceEndpoint(RestEndpoint):
"""REST end-point for querying and managing devices""" ENDPOINT_PATH = "/api/devices/{device_id}" async def get(self, device_id) -> web.Response: device = self._ledfx.devices.get(device_id) if device is None: response = {"not found": 404} return web.json_response(da...
import logging from aiohttp import web from ledfx.api import RestEndpoint from ledfx.config import save_config _LOGGER = logging.getLogger(__name__) class DeviceEndpoint(RestEndpoint):
42
168
563
6
36
broccoliboy/LedFx
ledfx/api/device.py
Python
DeviceEndpoint
DeviceEndpoint
11
90
11
11
90431e7445c1315667cb018ab543fa0b1fc8ab11
bigcode/the-stack
train
403c5c1c472ac9f495b22469
train
function
def _get_deleted_expire_index(table): members = sorted(['deleted', 'expire']) for idx in table.indexes: if sorted(idx.columns.keys()) == members: return idx
def _get_deleted_expire_index(table):
members = sorted(['deleted', 'expire']) for idx in table.indexes: if sorted(idx.columns.keys()) == members: return idx
the # License for the specific language governing permissions and limitations # under the License. from oslo_log import log as logging from sqlalchemy import Index, MetaData, Table from nova.i18n import _LI LOG = logging.getLogger(__name__) def _get_deleted_expire_index(table):
64
64
41
9
55
bopopescu/nova-17
nova/db/sqlalchemy/migrate_repo/versions/248_add_expire_reservations_index.py
Python
_get_deleted_expire_index
_get_deleted_expire_index
23
27
23
23
238659a588db0aeda2b098fefb4e35896a33ae98
bigcode/the-stack
train
194d4b9d459317b7a79068f3
train
function
def downgrade(migrate_engine): meta = MetaData() meta.bind = migrate_engine reservations = Table('reservations', meta, autoload=True) index = _get_deleted_expire_index(reservations) if index: index.drop(migrate_engine) else: LOG.info(_LI('Skipped removing reservations_deleted_e...
def downgrade(migrate_engine):
meta = MetaData() meta.bind = migrate_engine reservations = Table('reservations', meta, autoload=True) index = _get_deleted_expire_index(reservations) if index: index.drop(migrate_engine) else: LOG.info(_LI('Skipped removing reservations_deleted_expire_idx ' ...
index already exists.')) return # Based on expire_reservations query # from: nova/db/sqlalchemy/api.py index = Index('reservations_deleted_expire_idx', reservations.c.deleted, reservations.c.expire) index.create(migrate_engine) def downgrade(migrate_engine):
64
64
83
6
58
bopopescu/nova-17
nova/db/sqlalchemy/migrate_repo/versions/248_add_expire_reservations_index.py
Python
downgrade
downgrade
48
59
48
48
3bc89200cf0cdd779270377a01870043094d026e
bigcode/the-stack
train
b9ef716b3224c4f61e7e4ef9
train
function
def upgrade(migrate_engine): meta = MetaData() meta.bind = migrate_engine reservations = Table('reservations', meta, autoload=True) if _get_deleted_expire_index(reservations): LOG.info(_LI('Skipped adding reservations_deleted_expire_idx ' 'because an equivalent index alread...
def upgrade(migrate_engine):
meta = MetaData() meta.bind = migrate_engine reservations = Table('reservations', meta, autoload=True) if _get_deleted_expire_index(reservations): LOG.info(_LI('Skipped adding reservations_deleted_expire_idx ' 'because an equivalent index already exists.')) return ...
from nova.i18n import _LI LOG = logging.getLogger(__name__) def _get_deleted_expire_index(table): members = sorted(['deleted', 'expire']) for idx in table.indexes: if sorted(idx.columns.keys()) == members: return idx def upgrade(migrate_engine):
64
64
122
6
57
bopopescu/nova-17
nova/db/sqlalchemy/migrate_repo/versions/248_add_expire_reservations_index.py
Python
upgrade
upgrade
30
45
30
30
ef3f7a7d37c9131c8ea6764cd06f83f255ae9731
bigcode/the-stack
train
3507876818968199abd8ae8e
train
function
def batch_run_sample(bam_fname, target_bed, antitarget_bed, ref_fname, output_dir, male_reference, plot_scatter, plot_diagram, rscript_path, by_count, skip_low, seq_method, segment_method, processes, do_cluster): """Run the pipeline on one BAM file.""" ...
def batch_run_sample(bam_fname, target_bed, antitarget_bed, ref_fname, output_dir, male_reference, plot_scatter, plot_diagram, rscript_path, by_count, skip_low, seq_method, segment_method, processes, do_cluster):
"""Run the pipeline on one BAM file.""" # ENH - return probes, segments (cnarr, segarr) logging.info("Running the CNVkit pipeline on %s ...", bam_fname) sample_id = core.fbase(bam_fname) sample_pfx = os.path.join(output_dir, sample_id) raw_tgt = coverage.do_coverage(target_bed, bam_fname, by_co...
, antitarget_fnames, fasta, male_reference, None, do_gc=True, do_edge=(method == "hybrid"), do_rmask=True, do_clust...
226
226
756
59
166
sridhar0605/cnvkit
cnvlib/batch.py
Python
batch_run_sample
batch_run_sample
162
225
162
165
6088257c5747861cd7c003efb2da6a46787a0344
bigcode/the-stack
train
f8ed58d2ca10b26b8c94287c
train
function
def batch_write_coverage(bed_fname, bam_fname, out_fname, by_count, processes): """Run coverage on one sample, write to file.""" cnarr = coverage.do_coverage(bed_fname, bam_fname, by_count, 0, processes) tabio.write(cnarr, out_fname) return out_fname
def batch_write_coverage(bed_fname, bam_fname, out_fname, by_count, processes):
"""Run coverage on one sample, write to file.""" cnarr = coverage.do_coverage(bed_fname, bam_fname, by_count, 0, processes) tabio.write(cnarr, out_fname) return out_fname
= os.path.join(output_dir, "reference.cnn") core.ensure_path(output_reference) tabio.write(ref_arr, output_reference) return output_reference, target_bed, antitarget_bed def batch_write_coverage(bed_fname, bam_fname, out_fname, by_count, processes):
64
64
71
20
43
sridhar0605/cnvkit
cnvlib/batch.py
Python
batch_write_coverage
batch_write_coverage
155
159
155
155
73cb2d90de5265311c6ae1826fa039c418525704
bigcode/the-stack
train
34bba4595eaf302cded8597f
train
function
def batch_make_reference(normal_bams, target_bed, antitarget_bed, male_reference, fasta, annotate, short_names, target_avg_size, access_bed, antitarget_avg_size, antitarget_min_size, output_reference, output_dir, process...
def batch_make_reference(normal_bams, target_bed, antitarget_bed, male_reference, fasta, annotate, short_names, target_avg_size, access_bed, antitarget_avg_size, antitarget_min_size, output_reference, output_dir, process...
"""Build the CN reference from normal samples, targets and antitargets.""" if method in ("wgs", "amplicon"): if antitarget_bed: raise ValueError("%r protocol: antitargets should not be " "given/specified." % method) if access_bed and target_bed and access...
"""The 'batch' command.""" import logging import os from matplotlib import pyplot from skgenome import tabio, GenomicArray as GA from . import (access, antitarget, autobin, bintest, call, core, coverage, diagram, fix, parallel, reference, scatter, segmentation, segmetrics, target) from ....
151
256
1,416
68
82
sridhar0605/cnvkit
cnvlib/batch.py
Python
batch_make_reference
batch_make_reference
14
152
14
18
15751e76934dadbba9703e6946c3421e95b5d3db
bigcode/the-stack
train
1b4803af67cd437c53da2b67
train
function
def find_current_file(db): #todo find "last file" return "data/" + db + ".db"
def find_current_file(db): #todo find "last file"
return "data/" + db + ".db"
import sys import os def get_file_size_limit_bytes(): return 100 def find_current_file(db): #todo find "last file"
32
64
25
14
17
deniskovalenko/python-storage-engine
write.py
Python
find_current_file
find_current_file
7
9
7
8
a9240a296255860afddc9ed850c09be4794398f7
bigcode/the-stack
train
2ba3f68163f5634f53692ffd
train
function
def get_file_size_limit_bytes(): return 100
def get_file_size_limit_bytes():
return 100
import sys import os def get_file_size_limit_bytes():
13
64
12
7
5
deniskovalenko/python-storage-engine
write.py
Python
get_file_size_limit_bytes
get_file_size_limit_bytes
4
5
4
4
3d6b243c098c94e590b7d8b68a38c3015ae1dc41
bigcode/the-stack
train
1633aaa52159ab7548ed58f9
train
function
def main(): db = sys.argv[1] key = sys.argv[2] value = sys.argv[3] current_file = find_current_file(db) write_to_file(current_file, key, value) current_file_size = os.path.getsize(current_file) if current_file_size > get_file_size_limit_bytes(): #todo create another file, mark ...
def main():
db = sys.argv[1] key = sys.argv[2] value = sys.argv[3] current_file = find_current_file(db) write_to_file(current_file, key, value) current_file_size = os.path.getsize(current_file) if current_file_size > get_file_size_limit_bytes(): #todo create another file, mark current file...
os.path.exists(directory): os.makedirs(directory) try: os.makedirs(directory) except FileExistsError: # directory already exists pass file = open(file_path, "a+") file.write(key + "," + value + "\n") file.close() def main():
63
64
97
3
60
deniskovalenko/python-storage-engine
write.py
Python
main
main
25
36
25
25
09a213b3feb720062f3fbc73fddce381833a1d37
bigcode/the-stack
train
bd5bd3f43c8cc0e16ce0facb
train
function
def write_to_file(file_path, key, value): directory = os.path.dirname(file_path) if not os.path.exists(directory): os.makedirs(directory) try: os.makedirs(directory) except FileExistsError: # directory already exists pass file = open(file_path, "a+") file.write(ke...
def write_to_file(file_path, key, value):
directory = os.path.dirname(file_path) if not os.path.exists(directory): os.makedirs(directory) try: os.makedirs(directory) except FileExistsError: # directory already exists pass file = open(file_path, "a+") file.write(key + "," + value + "\n") file.close()
import sys import os def get_file_size_limit_bytes(): return 100 def find_current_file(db): #todo find "last file" return "data/" + db + ".db" def write_to_file(file_path, key, value):
54
64
83
11
43
deniskovalenko/python-storage-engine
write.py
Python
write_to_file
write_to_file
11
22
11
11
3f854639be4eab85e789d48e339247b856578c12
bigcode/the-stack
train
4f11449035eb1182cf398788
train
function
def handle(socket): global clients client = Client(socket) clients.append(client)
def handle(socket):
global clients client = Client(socket) clients.append(client)
extend(v, l): out = str(v) while len(out) < l: out = "0" + out return out # This handles a new client. # We need to hand them to an object # so that we can read and write from it def handle(socket):
64
64
19
4
59
ChrisFadden/PartyTowers
webrouter.py
Python
handle
handle
148
151
148
148
6b11c33694ca4f6e8511be6dfcd2046d1386614f
bigcode/the-stack
train
84312fe0b236ee0a5ca4a119
train
function
def extend(v, l): out = str(v) while len(out) < l: out = "0" + out return out
def extend(v, l):
out = str(v) while len(out) < l: out = "0" + out return out
Code == code: return host return None def newHostCode(): chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" code = ''.join(chars[int(random.random()*26)] for _ in range(4)) if findHost(code): return newHostCode() return code def extend(v, l):
64
64
33
6
57
ChrisFadden/PartyTowers
webrouter.py
Python
extend
extend
139
143
139
139
38203f870d1a7ceecf06dcdc37eae2b6b2077b61
bigcode/the-stack
train
2c8c95d96a8b5e57092fe03e
train
class
class Host: def __init__(self, socket, hostCode): self.socket = socket self.hostCode = hostCode self.players = {} self.pID = 0 self.socket.send("999" + str(self.hostCode)) self.writingTo = 0 self.data = "" def getNextpID(self): self.pID += ...
class Host:
def __init__(self, socket, hostCode): self.socket = socket self.hostCode = hostCode self.players = {} self.pID = 0 self.socket.send("999" + str(self.hostCode)) self.writingTo = 0 self.data = "" def getNextpID(self): self.pID += 1 return ...
self self.needsConfirmation = False self.sID = extend(self.pID, 2) self.socket.send("999" + self.sID) self.host.socket.send("998" + self.sID) def becomeHost(self): host = Host(self.socket, newHostCode()) clients.remove(self) hosts.append(host) def disco...
104
104
347
4
99
ChrisFadden/PartyTowers
webrouter.py
Python
Host
Host
71
124
71
72
dff4a0b22054841f76392e7cb0138b062841c93c
bigcode/the-stack
train
f54a68b0df5ccb347d9f55bc
train
function
def newHostCode(): chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" code = ''.join(chars[int(random.random()*26)] for _ in range(4)) if findHost(code): return newHostCode() return code
def newHostCode():
chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" code = ''.join(chars[int(random.random()*26)] for _ in range(4)) if findHost(code): return newHostCode() return code
.writingTo = 0 def disconnect(self): print("Lost host.") hosts.remove(self) self.socket = None return def findHost(code): for host in hosts: if host.hostCode == code: return host return None def newHostCode():
64
64
46
5
58
ChrisFadden/PartyTowers
webrouter.py
Python
newHostCode
newHostCode
132
137
132
132
aa88a2188a6204c952070715ce02143024f198f4
bigcode/the-stack
train
ec08b40d36850ad830b609a5
train
function
def setupMessages(): return
def setupMessages():
return
# This file runs the websockets. import string, cgi, time import sys sys.path.insert(0, 'PyWebPlug') from wsserver import * from time import sleep def setupMessages():
44
64
7
4
39
ChrisFadden/PartyTowers
webrouter.py
Python
setupMessages
setupMessages
10
11
10
10
244f61f25b4c159cffb2ef14eb218fa55ebc14d8
bigcode/the-stack
train
3108bb674eba9a183c6ba3e7
train
class
class Client: def __init__(self, socket): self.socket = socket self.needsConfirmation = True def handle(self): if (self.socket): try: data = self.socket.readRaw() except: self.socket = None if len(data) == 0: ...
class Client:
def __init__(self, socket): self.socket = socket self.needsConfirmation = True def handle(self): if (self.socket): try: data = self.socket.readRaw() except: self.socket = None if len(data) == 0: return ...
# This file runs the websockets. import string, cgi, time import sys sys.path.insert(0, 'PyWebPlug') from wsserver import * from time import sleep def setupMessages(): return class Client:
50
104
349
3
46
ChrisFadden/PartyTowers
webrouter.py
Python
Client
Client
14
69
14
15
ea9b365acdf27ca535ddb72ae5e47900eb6e51e4
bigcode/the-stack
train
47a268b193205ff0e17981e4
train
function
def main(): global gameStarted global stage try: setupMessages() server = startServer() while True: newClient = handleNetwork() if newClient: handle(newClient) for client in clients: client.handle() for h...
def main():
global gameStarted global stage try: setupMessages() server = startServer() while True: newClient = handleNetwork() if newClient: handle(newClient) for client in clients: client.handle() for host in hosts...
: out = "0" + out return out # This handles a new client. # We need to hand them to an object # so that we can read and write from it def handle(socket): global clients client = Client(socket) clients.append(client) def main():
64
64
90
3
61
ChrisFadden/PartyTowers
webrouter.py
Python
main
main
153
170
153
153
7d4149dcc9849de7de978c11a4835b3d73c65aaa
bigcode/the-stack
train
53d3d5c90ce5bc29dc9b4e7f
train
function
def findHost(code): for host in hosts: if host.hostCode == code: return host return None
def findHost(code):
for host in hosts: if host.hostCode == code: return host return None
tried to send a messaged to non-existant player", pID) self.data = self.data[ind+2:] self.writingTo = 0 def disconnect(self): print("Lost host.") hosts.remove(self) self.socket = None return def findHost(code):
64
64
27
5
58
ChrisFadden/PartyTowers
webrouter.py
Python
findHost
findHost
126
130
126
126
bbb66d6cd86862d62dc109d478ea456ea9e305aa
bigcode/the-stack
train
ba18825a97618d2891263738
train
function
def normal_gen_code(): numbers = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '0'] code = sample(numbers, 20) return ''.join(code)
def normal_gen_code():
numbers = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '0'] code = sample(numbers, 20) return ''.join(code)
import qrcode from PIL import Image from random import sample import os def normal_gen_code():
22
64
84
5
16
nawafalqari/LinksBase
tests/qrcode_test.py
Python
normal_gen_code
normal_gen_code
6
10
6
6
ca12c5ed97ce9a3d6471dc88cef725fae4deecbb
bigcode/the-stack
train
aac44eb5857f5a5a3a41562e
train
function
def has_digit(text): return digit_re.match(text)
def has_digit(text):
return digit_re.match(text)
import re from dataPipelines.gc_scrapy.gc_scrapy.items import DocItem from dataPipelines.gc_scrapy.gc_scrapy.GCSpider import GCSpider digit_re = re.compile('\d') def has_digit(text):
48
64
12
5
43
dod-advana/gamechanger-crawlers
dataPipelines/gc_scrapy/gc_scrapy/spiders/milpersman_spider.py
Python
has_digit
has_digit
9
10
9
9
726a87a239330bbf6e829318d117a76684b84b65
bigcode/the-stack
train
6a47a5b1dbb6fb80e1a76314
train
class
class MilpersmanSpider(GCSpider): name = 'milpersman_crawler' start_urls = ['https://www.mynavyhr.navy.mil/References/MILPERSMAN/'] doc_type = "MILPERSMAN" cac_login_required = False def parse(self, response): anchors = [ a for a in response.css('li[title="MILPERSM...
class MilpersmanSpider(GCSpider):
name = 'milpersman_crawler' start_urls = ['https://www.mynavyhr.navy.mil/References/MILPERSMAN/'] doc_type = "MILPERSMAN" cac_login_required = False def parse(self, response): anchors = [ a for a in response.css('li[title="MILPERSMAN"] ul li a') if has_digit(a.css(...
import re from dataPipelines.gc_scrapy.gc_scrapy.items import DocItem from dataPipelines.gc_scrapy.gc_scrapy.GCSpider import GCSpider digit_re = re.compile('\d') def has_digit(text): return digit_re.match(text) class MilpersmanSpider(GCSpider):
64
215
719
9
55
dod-advana/gamechanger-crawlers
dataPipelines/gc_scrapy/gc_scrapy/spiders/milpersman_spider.py
Python
MilpersmanSpider
MilpersmanSpider
13
109
13
13
09d0c5759b1d357397d7928e53badf71dcecbea4
bigcode/the-stack
train
e97d3bb0b1666f135887f7e3
train
function
def hex_switchEndian(s): """ Switches the endianness of a hex string (in pairs of hex chars) """ pairList = [s[i:i+2].encode() for i in range(0, len(s), 2)] return b''.join(pairList[::-1]).decode()
def hex_switchEndian(s):
""" Switches the endianness of a hex string (in pairs of hex chars) """ pairList = [s[i:i+2].encode() for i in range(0, len(s), 2)] return b''.join(pairList[::-1]).decode()
: # Python 3 import http.client as httplib except ImportError: # Python 2 import httplib import json import re import base64 import sys import os import os.path settings = {} ##### Switch endian-ness ##### def hex_switchEndian(s):
64
64
63
6
57
HuntCoinDeveloper/huntcoin
contrib/linearize/linearize-hashes.py
Python
hex_switchEndian
hex_switchEndian
25
28
25
25
06fe94ecea69d999173eeac03747f220d716a545
bigcode/the-stack
train
68a2bd802bea03728cd6e6fb
train
function
def get_block_hashes(settings, max_blocks_per_call=10000): rpc = HuntcoinRPC(settings['host'], settings['port'], settings['rpcuser'], settings['rpcpassword']) height = settings['min_height'] while height < settings['max_height']+1: num_blocks = min(settings['max_height']+1-height, max_blocks_per_call) batch...
def get_block_hashes(settings, max_blocks_per_call=10000):
rpc = HuntcoinRPC(settings['host'], settings['port'], settings['rpcuser'], settings['rpcpassword']) height = settings['min_height'] while height < settings['max_height']+1: num_blocks = min(settings['max_height']+1-height, max_blocks_per_call) batch = [] for x in range(num_blocks): batch.append(rpc.bui...
} if params is None: obj['params'] = [] else: obj['params'] = params return obj @staticmethod def response_is_error(resp_obj): return 'error' in resp_obj and resp_obj['error'] is not None def get_block_hashes(settings, max_blocks_per_call=10000):
73
73
245
15
57
HuntCoinDeveloper/huntcoin
contrib/linearize/linearize-hashes.py
Python
get_block_hashes
get_block_hashes
71
96
71
71
ef6b3095b82525d1482c33df818f5c448137b590
bigcode/the-stack
train
d6296d27ccb406f7144abbd8
train
function
def get_rpc_cookie(): # Open the cookie file with open(os.path.join(os.path.expanduser(settings['datadir']), '.cookie'), 'r') as f: combined = f.readline() combined_split = combined.split(":") settings['rpcuser'] = combined_split[0] settings['rpcpassword'] = combined_split[1]
def get_rpc_cookie(): # Open the cookie file
with open(os.path.join(os.path.expanduser(settings['datadir']), '.cookie'), 'r') as f: combined = f.readline() combined_split = combined.split(":") settings['rpcuser'] = combined_split[0] settings['rpcpassword'] = combined_split[1]
'] == x) # assume replies are in-sequence if settings['rev_hash_bytes'] == 'true': resp_obj['result'] = hex_switchEndian(resp_obj['result']) print(resp_obj['result']) height += num_blocks def get_rpc_cookie(): # Open the cookie file
64
64
75
12
51
HuntCoinDeveloper/huntcoin
contrib/linearize/linearize-hashes.py
Python
get_rpc_cookie
get_rpc_cookie
98
104
98
99
ad9132d7f62544549eafea59007b20b99958fa19
bigcode/the-stack
train
594871dcf9e6d99483cbf076
train
class
class HuntcoinRPC: def __init__(self, host, port, username, password): authpair = "%s:%s" % (username, password) authpair = authpair.encode('utf-8') self.authhdr = b"Basic " + base64.b64encode(authpair) self.conn = httplib.HTTPConnection(host, port=port, timeout=30) def execute(self, obj): try: self.con...
class HuntcoinRPC:
def __init__(self, host, port, username, password): authpair = "%s:%s" % (username, password) authpair = authpair.encode('utf-8') self.authhdr = b"Basic " + base64.b64encode(authpair) self.conn = httplib.HTTPConnection(host, port=port, timeout=30) def execute(self, obj): try: self.conn.request('POST', '...
import base64 import sys import os import os.path settings = {} ##### Switch endian-ness ##### def hex_switchEndian(s): """ Switches the endianness of a hex string (in pairs of hex chars) """ pairList = [s[i:i+2].encode() for i in range(0, len(s), 2)] return b''.join(pairList[::-1]).decode() class HuntcoinRPC:
93
93
311
5
88
HuntCoinDeveloper/huntcoin
contrib/linearize/linearize-hashes.py
Python
HuntcoinRPC
HuntcoinRPC
30
69
30
30
489618077e9f8a3bf63f9f1779a53482d34e4b20
bigcode/the-stack
train
ddfef98e6848ef3a70b13314
train
class
class WikiTableService: def get_table_column_numbers(self, table: wtp.Table) -> int: """ Returns the number of columns in a table Keyword arguments: table -- The table which the number of columns is being searched Returns: table_column_numbers -- Th...
class WikiTableService:
def get_table_column_numbers(self, table: wtp.Table) -> int: """ Returns the number of columns in a table Keyword arguments: table -- The table which the number of columns is being searched Returns: table_column_numbers -- The number of columns in t...
import re import wikitextparser as wtp from server.services.wiki.wiki_section_service import WikiSectionService class WikiTableService:
31
256
1,316
5
25
hotosm/oeg-reporter
server/services/wiki/wiki_table_service.py
Python
WikiTableService
WikiTableService
8
185
8
8
65247520425f7c9efb7f82f216dd895504c6afb2
bigcode/the-stack
train
da4bb56389e41b5f71093785
train
class
class FloatRange(_NumberRangeBase, FloatParamType): """Restrict a :data:`click.FLOAT` value to a range of accepted values. See :ref:`ranges`. If ``min`` or ``max`` are not passed, any value is accepted in that direction. If ``min_open`` or ``max_open`` are enabled, the corresponding boundary is not...
class FloatRange(_NumberRangeBase, FloatParamType):
"""Restrict a :data:`click.FLOAT` value to a range of accepted values. See :ref:`ranges`. If ``min`` or ``max`` are not passed, any value is accepted in that direction. If ``min_open`` or ``max_open`` are enabled, the corresponding boundary is not included in the range. If ``clamp`` is enabled...
Added the ``min_open`` and ``max_open`` parameters. """ name = "integer range" def _clamp(self, bound, dir, open): if not open: return bound return bound + dir class FloatParamType(_NumberParamTypeBase): name = "float" _number_class = float def __repr__(self): ...
97
97
326
12
85
click-contrib/asyncclick
src/click/types.py
Python
FloatRange
FloatRange
468
501
468
468
f840fafd28cd90225ee00a187da571cb1e8ae2bd
bigcode/the-stack
train
c861ace22a5bae39a603be8e
train
class
class Choice(ParamType): """The choice type allows a value to be checked against a fixed set of supported values. All of these values have to be strings. You should only pass a list or tuple of choices. Other iterables (like generators) may lead to surprising results. The resulting value will alwa...
class Choice(ParamType):
"""The choice type allows a value to be checked against a fixed set of supported values. All of these values have to be strings. You should only pass a list or tuple of choices. Other iterables (like generators) may lead to surprising results. The resulting value will always be one of the original...
except ValueError: try: value = str(value) except UnicodeError: value = value.decode("utf-8", "replace") self.fail(value, param, ctx) class UnprocessedParamType(ParamType): name = "text" def convert(self, value, param, ctx): return...
229
229
766
6
223
click-contrib/asyncclick
src/click/types.py
Python
Choice
Choice
190
284
190
190
bfa34967277b7346ecbc72a4f637e03e17251819
bigcode/the-stack
train
f6f2b9828a9c3c0ad4e560bc
train
class
class FloatParamType(_NumberParamTypeBase): name = "float" _number_class = float def __repr__(self): return "FLOAT"
class FloatParamType(_NumberParamTypeBase):
name = "float" _number_class = float def __repr__(self): return "FLOAT"
.0 Added the ``min_open`` and ``max_open`` parameters. """ name = "integer range" def _clamp(self, bound, dir, open): if not open: return bound return bound + dir class FloatParamType(_NumberParamTypeBase):
64
64
35
10
53
click-contrib/asyncclick
src/click/types.py
Python
FloatParamType
FloatParamType
460
465
460
460
82bd09b3142ddf7fa33f0908dfe0099892e82122
bigcode/the-stack
train
f6a8bcdd3da57da72c2c1d88
train
class
class Tuple(CompositeParamType): """The default behavior of Click is to apply a type on a value directly. This works well in most cases, except for when `nargs` is set to a fixed count and different types should be used for different items. In this case the :class:`Tuple` type can be used. This type c...
class Tuple(CompositeParamType):
"""The default behavior of Click is to apply a type on a value directly. This works well in most cases, except for when `nargs` is set to a fixed count and different types should be used for different items. In this case the :class:`Tuple` type can be used. This type can only be used if `nargs` is...
Invocation context for this command. :param param: The parameter that is requesting completion. :param incomplete: Value being completed. May be empty. .. versionadded:: 8.0 """ from asyncclick.shell_completion import CompletionItem type = "dir" if self.dir_okay and no...
95
96
322
7
88
click-contrib/asyncclick
src/click/types.py
Python
Tuple
Tuple
792
828
792
792
a494615f995133e3cd506025f07c8591191d7325
bigcode/the-stack
train
aa9c1c5b111668b6b3e4cc15
train
class
class UUIDParameterType(ParamType): name = "uuid" def convert(self, value, param, ctx): import uuid if isinstance(value, uuid.UUID): return value value = value.strip() try: return uuid.UUID(value) except ValueError: self.fail(f"{val...
class UUIDParameterType(ParamType):
name = "uuid" def convert(self, value, param, ctx): import uuid if isinstance(value, uuid.UUID): return value value = value.strip() try: return uuid.UUID(value) except ValueError: self.fail(f"{value!r} is not a valid UUID.", param, ...
norm in {"0", "false", "f", "no", "n", "off"}: return False self.fail(f"{value!r} is not a valid boolean.", param, ctx) def __repr__(self): return "BOOL" class UUIDParameterType(ParamType):
64
64
92
8
56
click-contrib/asyncclick
src/click/types.py
Python
UUIDParameterType
UUIDParameterType
525
542
525
525
35092b7a2e9978ffd1a80714e95fe5285b880207
bigcode/the-stack
train
db78d05f94f817371b4eb37d
train
class
class DateTime(ParamType): """The DateTime type converts date strings into `datetime` objects. The format strings which are checked are configurable, but default to some common (non-timezone aware) ISO 8601 formats. When specifying *DateTime* formats, you should only pass a list or a tuple. Other ...
class DateTime(ParamType):
"""The DateTime type converts date strings into `datetime` objects. The format strings which are checked are configurable, but default to some common (non-timezone aware) ISO 8601 formats. When specifying *DateTime* formats, you should only pass a list or a tuple. Other iterables, like generators,...
that start with the incomplete value. :param ctx: Invocation context for this command. :param param: The parameter that is requesting completion. :param incomplete: Value being completed. May be empty. .. versionadded:: 8.0 """ from asyncclick.shell_completion import C...
146
146
489
7
139
click-contrib/asyncclick
src/click/types.py
Python
DateTime
DateTime
287
344
287
287
f0ace4dffa166134460a426fe3b5ec201427cf89
bigcode/the-stack
train
91654ff0f25622a941357985
train
class
class CompositeParamType(ParamType): is_composite = True @property def arity(self): raise NotImplementedError()
class CompositeParamType(ParamType):
is_composite = True @property def arity(self): raise NotImplementedError()
ions as well. :param ctx: Invocation context for this command. :param param: The parameter that is requesting completion. :param incomplete: Value being completed. May be empty. .. versionadded:: 8.0 """ return [] class CompositeParamType(ParamType):
63
64
31
8
55
click-contrib/asyncclick
src/click/types.py
Python
CompositeParamType
CompositeParamType
126
131
126
126
0623922da3f36c3375cf1ef46bc6008f72e9e3a1
bigcode/the-stack
train
bbce9e1f752ad76ce02b421b
train
class
class BoolParamType(ParamType): name = "boolean" def convert(self, value, param, ctx): if value in {False, True}: return bool(value) norm = value.strip().lower() if norm in {"1", "true", "t", "yes", "y", "on"}: return True if norm in {"0", "false", "f"...
class BoolParamType(ParamType):
name = "boolean" def convert(self, value, param, ctx): if value in {False, True}: return bool(value) norm = value.strip().lower() if norm in {"1", "true", "t", "yes", "y", "on"}: return True if norm in {"0", "false", "f", "no", "n", "off"}: ...
math.nextafter here, but clamping an # open float range doesn't seem to be particularly useful. It's # left up to the user to write a callback to do it if needed. raise RuntimeError("Clamping is not supported for open bounds.") class BoolParamType(ParamType):
63
64
133
8
55
click-contrib/asyncclick
src/click/types.py
Python
BoolParamType
BoolParamType
504
522
504
504
d066d291b2c1ba1dd9c63e3d3006ca9817d288f3
bigcode/the-stack
train
df4407c1dc3ffbf3ba134e76
train
class
class _NumberParamTypeBase(ParamType): _number_class = None def convert(self, value, param, ctx): try: return self._number_class(value) except ValueError: self.fail(f"{value!r} is not a valid {self.name}.", param, ctx)
class _NumberParamTypeBase(ParamType):
_number_class = None def convert(self, value, param, ctx): try: return self._number_class(value) except ValueError: self.fail(f"{value!r} is not a valid {self.name}.", param, ctx)
(repr(f) for f in self.formats) self.fail( f"{value!r} does not match the format{plural} {formats_str}.", param, ctx ) def __repr__(self): return "DateTime" class _NumberParamTypeBase(ParamType):
64
64
66
10
54
click-contrib/asyncclick
src/click/types.py
Python
_NumberParamTypeBase
_NumberParamTypeBase
347
354
347
347
db2ea2bc33b90af6247963f58d15fa9b508c4e14
bigcode/the-stack
train
8cd96fe00abab21ff2825521
train
class
class FuncParamType(ParamType): def __init__(self, func): self.name = func.__name__ self.func = func async def to_info_dict(self): info_dict = await super().to_info_dict() info_dict["func"] = self.func return info_dict def convert(self, value, param, ctx): t...
class FuncParamType(ParamType):
def __init__(self, func): self.name = func.__name__ self.func = func async def to_info_dict(self): info_dict = await super().to_info_dict() info_dict["func"] = self.func return info_dict def convert(self, value, param, ctx): try: return self.func...
: Value being completed. May be empty. .. versionadded:: 8.0 """ return [] class CompositeParamType(ParamType): is_composite = True @property def arity(self): raise NotImplementedError() class FuncParamType(ParamType):
64
64
126
8
56
click-contrib/asyncclick
src/click/types.py
Python
FuncParamType
FuncParamType
134
153
134
134
b1f4d520743c45b3ef22b5922b051a50df2c0711
bigcode/the-stack
train
bb268d6869b764f01225b99a
train
class
class IntParamType(_NumberParamTypeBase): name = "integer" _number_class = int def __repr__(self): return "INT"
class IntParamType(_NumberParamTypeBase):
name = "integer" _number_class = int def __repr__(self): return "INT"
.min}{lop}x{rop}{self.max}" def __repr__(self): clamp = " clamped" if self.clamp else "" return f"<{type(self).__name__} {self._describe_range()}{clamp}>" class IntParamType(_NumberParamTypeBase):
63
64
35
10
53
click-contrib/asyncclick
src/click/types.py
Python
IntParamType
IntParamType
428
433
428
428
a1d73391c78d5ae2be6db53ddbf3b8dd471f2fe1
bigcode/the-stack
train
833068d1fa6a8f69aadb5130
train
class
class StringParamType(ParamType): name = "text" def convert(self, value, param, ctx): if isinstance(value, bytes): enc = _get_argv_encoding() try: value = value.decode(enc) except UnicodeError: fs_enc = get_filesystem_encoding() ...
class StringParamType(ParamType):
name = "text" def convert(self, value, param, ctx): if isinstance(value, bytes): enc = _get_argv_encoding() try: value = value.decode(enc) except UnicodeError: fs_enc = get_filesystem_encoding() if fs_enc != enc: ...
replace") self.fail(value, param, ctx) class UnprocessedParamType(ParamType): name = "text" def convert(self, value, param, ctx): return value def __repr__(self): return "UNPROCESSED" class StringParamType(ParamType):
64
64
138
8
56
click-contrib/asyncclick
src/click/types.py
Python
StringParamType
StringParamType
166
187
166
166
8322064d849caa8928dbfbcd1bb6f21464770e27
bigcode/the-stack
train
e32d8ea663178187c4811210
train
class
class IntRange(_NumberRangeBase, IntParamType): """Restrict an :data:`click.INT` value to a range of accepted values. See :ref:`ranges`. If ``min`` or ``max`` are not passed, any value is accepted in that direction. If ``min_open`` or ``max_open`` are enabled, the corresponding boundary is not incl...
class IntRange(_NumberRangeBase, IntParamType):
"""Restrict an :data:`click.INT` value to a range of accepted values. See :ref:`ranges`. If ``min`` or ``max`` are not passed, any value is accepted in that direction. If ``min_open`` or ``max_open`` are enabled, the corresponding boundary is not included in the range. If ``clamp`` is enabled,...
(self).__name__} {self._describe_range()}{clamp}>" class IntParamType(_NumberParamTypeBase): name = "integer" _number_class = int def __repr__(self): return "INT" class IntRange(_NumberRangeBase, IntParamType):
64
64
174
12
52
click-contrib/asyncclick
src/click/types.py
Python
IntRange
IntRange
436
457
436
436
b6867ab79596345ee2c832a65ecb72b4797da5da
bigcode/the-stack
train